2024-04-28T16:36:24,712 Created temporary directory: /tmp/pip-build-tracker-mufobkrt
2024-04-28T16:36:24,713 Initialized build tracking at /tmp/pip-build-tracker-mufobkrt
2024-04-28T16:36:24,714 Created build tracker: /tmp/pip-build-tracker-mufobkrt
2024-04-28T16:36:24,714 Entered build tracker: /tmp/pip-build-tracker-mufobkrt
2024-04-28T16:36:24,715 Created temporary directory: /tmp/pip-wheel-fqsrp8da
2024-04-28T16:36:24,718 Created temporary directory: /tmp/pip-ephem-wheel-cache-h1c3qro_
2024-04-28T16:36:24,743 Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
2024-04-28T16:36:24,746 2 location(s) to search for versions of fluidsim:
2024-04-28T16:36:24,746 * https://pypi.org/simple/fluidsim/
2024-04-28T16:36:24,746 * https://www.piwheels.org/simple/fluidsim/
2024-04-28T16:36:24,747 Fetching project page and analyzing links: https://pypi.org/simple/fluidsim/
2024-04-28T16:36:24,748 Getting page https://pypi.org/simple/fluidsim/
2024-04-28T16:36:24,749 Found index url https://pypi.org/simple/
2024-04-28T16:36:24,973 Fetched page https://pypi.org/simple/fluidsim/ as application/vnd.pypi.simple.v1+json
2024-04-28T16:36:24,998   Found link https://files.pythonhosted.org/packages/63/5c/bc1c9a89c3aee79f92dc38a8dec7c95513c7a4e88f417f28d6f4bf5bb812/fluidsim-0.0.1a0.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.0.1a0
2024-04-28T16:36:24,999   Found link https://files.pythonhosted.org/packages/41/b7/4b358d356983404a6c0b5f7d5adfbd459c91f1700b8445c6da81b0bad88d/fluidsim-0.0.2a1.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.0.2a1
2024-04-28T16:36:25,000   Found link https://files.pythonhosted.org/packages/b4/29/d7f6cc702db5bb1f90ccdd8f0f988e199f1acd30b758194eaa50a27b1ee5/fluidsim-0.0.3a1.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.0.3a1
2024-04-28T16:36:25,000   Found link https://files.pythonhosted.org/packages/1b/36/8364a9d5751e19c2b3a6595cdcc75bdb150dfb918fd2d5841bdc849b1a75/fluidsim-0.0.4.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.0.4
2024-04-28T16:36:25,001   Found link https://files.pythonhosted.org/packages/fe/a2/4c363fc37361694773dcfd7a1689e4b8d002cd8cd096bbb9f80bf56a3f51/fluidsim-0.1.0.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.1.0
2024-04-28T16:36:25,002   Found link https://files.pythonhosted.org/packages/ae/92/faf0fc717d83304c9129e403180b36f1cd62b54a6343c696f8f602b7cbc4/fluidsim-0.1.0.post1.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.1.0.post1
2024-04-28T16:36:25,003   Found link https://files.pythonhosted.org/packages/8f/bf/9e3b9be44bbf6d00803f2cb2433558d48906b3d148ed5d76e9f09d931530/fluidsim-0.1.0.post2.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.1.0.post2
2024-04-28T16:36:25,003   Found link https://files.pythonhosted.org/packages/45/53/843ce59c5b64b05e93fe8d37172dc6bf6777c3bdb4ec1c2659d44abe7792/fluidsim-0.1.1.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.1.1
2024-04-28T16:36:25,004   Found link https://files.pythonhosted.org/packages/48/c1/8f625c1724ba5abf1a38a0ff41f86ad62fda2b0e8ca07acd5a02b78a54ea/fluidsim-0.2.0.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.2.0
2024-04-28T16:36:25,005   Found link https://files.pythonhosted.org/packages/56/1a/3989bf83d63cec4e52cb9be7153a8a1ba9767769231678644b4290e604f0/fluidsim-0.2.1.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.2.1
2024-04-28T16:36:25,006   Found link https://files.pythonhosted.org/packages/be/63/05b5a55648bcad82b747bc4eec972a30199588c4b741549d16c21ae9c70b/fluidsim-0.2.2.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.2.2
2024-04-28T16:36:25,007   Found link https://files.pythonhosted.org/packages/d0/7a/d0efb2c21a094d030449acc73af6fcadcfe173167975cee7946825c6ee2c/fluidsim-0.2.2.post0.tar.gz (from https://pypi.org/simple/fluidsim/), version: 0.2.2.post0
2024-04-28T16:36:25,008   Found link https://files.pythonhosted.org/packages/c7/15/fea2dd73598c566684b4628748ba580f46a30715785fc5f3dd898a92e405/fluidsim-0.3.0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>= 3.6), version: 0.3.0
2024-04-28T16:36:25,009   Found link https://files.pythonhosted.org/packages/07/96/565b1c1cc01d21952f9fe9163c2571984053a511ea187d129d1928f6ed60/fluidsim-0.3.1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>= 3.6), version: 0.3.1
2024-04-28T16:36:25,010   Found link https://files.pythonhosted.org/packages/24/ff/1df51c4cd233e4669622777700bbfaa87abf3ec5331ce4e70f4b957c8cf8/fluidsim-0.3.2.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>= 3.6), version: 0.3.2
2024-04-28T16:36:25,011   Found link https://files.pythonhosted.org/packages/ca/07/66c73f059d60b947b4fd70c0fd85807c7f2c49a53fc049aac45e71c5247f/fluidsim-0.3.3.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>= 3.6), version: 0.3.3
2024-04-28T16:36:25,012   Found link https://files.pythonhosted.org/packages/dc/85/fcb7bc708a79a6b5bf467ebc2e2713addcde8b507a379c0360d20152e27a/fluidsim-0.4.0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>= 3.6), version: 0.4.0
2024-04-28T16:36:25,013   Found link https://files.pythonhosted.org/packages/1d/47/4cf9cbfeba9a454399f25d38271f1cd8e4c7ec3f3c41cc26002f97a07508/fluidsim-0.4.1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>= 3.6), version: 0.4.1
2024-04-28T16:36:25,014   Found link https://files.pythonhosted.org/packages/b6/29/908d2dd9d504a7d1014c7407b2ce65c59afa13ec7a36143c239415df8fc4/fluidsim-0.5.0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.6), version: 0.5.0
2024-04-28T16:36:25,014   Found link https://files.pythonhosted.org/packages/ea/74/8a2feb652d4146ed8ae4ea60e87caf74aacfb181ca8c8825458e96cfc626/fluidsim-0.5.0.post0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.6), version: 0.5.0.post0
2024-04-28T16:36:25,015   Found link https://files.pythonhosted.org/packages/b8/3f/f434b550c064b0589329ca4b841b5316da8f0113cc32f27a942f9c22489c/fluidsim-0.5.1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.6), version: 0.5.1
2024-04-28T16:36:25,016   Found link https://files.pythonhosted.org/packages/a9/e6/e9bbe25719ad7ebc539b7f49528a1d164aaf850d945855737d69d094ef2b/fluidsim-0.6.0b0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.6.0b0
2024-04-28T16:36:25,017   Found link https://files.pythonhosted.org/packages/c5/2b/9e669ea77d7ded5c2129eb5c49d0262ccdd9f46e197c313ef87fe58fefac/fluidsim-0.6.0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.6.0
2024-04-28T16:36:25,018   Found link https://files.pythonhosted.org/packages/d4/a2/095b842effff3bef733d19972a2380fac152649a08dd1d84d2921c53ca35/fluidsim-0.6.1rc0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.6.1rc0
2024-04-28T16:36:25,019   Found link https://files.pythonhosted.org/packages/0c/e2/ec3fd4e6035a8820cd9acbe510e292ab271ecae80d8589afdacba1b3d3e7/fluidsim-0.6.1rc1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.6.1rc1
2024-04-28T16:36:25,021   Found link https://files.pythonhosted.org/packages/59/9e/73cdd3d088f6151461e1f83e132e72c1ea77c5cc6361523e92db154b86bc/fluidsim-0.6.1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.6.1
2024-04-28T16:36:25,022   Found link https://files.pythonhosted.org/packages/61/5f/ac4b795e8e6a86d251177d62b97dc39600e4f868244751c61be918733e5f/fluidsim-0.7.0rc0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.0rc0
2024-04-28T16:36:25,023   Found link https://files.pythonhosted.org/packages/44/39/9902ae0b154feb15566eb4a4c12d8e579ac2ea419353418d11e53f1705f2/fluidsim-0.7.0rc1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.0rc1
2024-04-28T16:36:25,024   Found link https://files.pythonhosted.org/packages/93/d0/b9dee9904ff7ec227ad5380677bc2fd2030b45ab6c6af337525ef79cdebe/fluidsim-0.7.0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.0
2024-04-28T16:36:25,025   Found link https://files.pythonhosted.org/packages/85/84/536a3d08eedcb6bd29b8a849ad63ef18566027402e5c8f52fe38e6e034b0/fluidsim-0.7.1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.1
2024-04-28T16:36:25,026   Found link https://files.pythonhosted.org/packages/ee/01/73c2bf56f20ea97cb31979f33da06697b9b8bcb0a2dd1e9e886dfb07bad0/fluidsim-0.7.2.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.2
2024-04-28T16:36:25,027   Found link https://files.pythonhosted.org/packages/c2/04/e971759a2571f3b41c48eeba4c6690165bf95691493ceff7b096c1a4833c/fluidsim-0.7.3.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.3
2024-04-28T16:36:25,028   Found link https://files.pythonhosted.org/packages/cc/a6/10cc804830d6e42b3641c6f9d4da74d87bf02dc4883598c2feaf78a4ab32/fluidsim-0.7.4.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.8), version: 0.7.4
2024-04-28T16:36:25,029   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/4c/68/5f85d855796d841f8dafe4dc908bdc0efbb676eafb6a57b58d4605a1bd54/fluidsim-0.8.0rc0-cp310-cp310-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,029   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/87/49/7bc15e9dbb98e43c4d0dcbe200bde1e3236c596db7530250ba7e7ff1ab68/fluidsim-0.8.0rc0-cp310-cp310-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,030   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/7d/c4/95ce908f75c0ddec65fa839be2ae9e04ed6eb11bf82caa39a719465fb973/fluidsim-0.8.0rc0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,030   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/74/89/71bc22705007452e0d28d93edfda2fa9ed61deedbb3da30a229437f3fdbf/fluidsim-0.8.0rc0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,031   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/c1/87/1d9c4d1a4e432db87809818d987f28861d5e5f4369f2532ba62e4c050398/fluidsim-0.8.0rc0-cp310-cp310-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,031   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/26/da/bd4525ef9c325796e6540f1d325a1b5823013a35bee38967674c02678d9a/fluidsim-0.8.0rc0-cp311-cp311-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,032   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/01/20/82bd9f6b28c598f30ef2fdb5f39242d987438f7d3094e3371186575dbb36/fluidsim-0.8.0rc0-cp311-cp311-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,033   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/f2/77/c31b816fa4a3c993dada24dcfabf3d0d5b5051ef876d9ec29350dd8e5207/fluidsim-0.8.0rc0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,033   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/e0/41/a3a214369e90e38d8aa079f2b31b4dca7566e7814b5ab609773147f0f861/fluidsim-0.8.0rc0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,034   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/c2/df/6b95b6d35c4690b16eb3762d17a2edd877202a290d6ae5c534f224c9a0a1/fluidsim-0.8.0rc0-cp311-cp311-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,035   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/e9/f2/ec575ef599abcca1409441366aa88b744809cc3af291520e8ef5e4e20e1b/fluidsim-0.8.0rc0-cp312-cp312-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,035   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/84/d9/277b47ed9cedf3825c7bebbb7fc01886270a0746ea35dc55a0bcda77d510/fluidsim-0.8.0rc0-cp312-cp312-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,036   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/8f/e1/cff72d2cbd3811f1ae9111d256c10bba8b02311548c7446d4ca58c14dd44/fluidsim-0.8.0rc0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,037   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/aa/40/2e4e9b8321b0665c2f6f25ff90253ffd2dec7cc012e71c50f688cde6efc9/fluidsim-0.8.0rc0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,037   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/8e/3c/05286c559673e91301189dffb60fcf3c81a449bd6d1365e8b06a523d49ef/fluidsim-0.8.0rc0-cp312-cp312-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,038   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/eb/92/d0f2b87e91a4bb80e2fa7b6fb79045f7ba6d3ec1654446f01f61ce64a467/fluidsim-0.8.0rc0-cp39-cp39-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,038   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/5c/c0/3145d489261bcde48e64c3b92d25a293a9bf783b044907788ee54287d002/fluidsim-0.8.0rc0-cp39-cp39-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,039   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/f5/6f/1eacfd74d0732c20a12de07659bf0396c738619164c0ce3f44147991b557/fluidsim-0.8.0rc0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,039   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/4e/7c/c237cb50ec0d90a633f9091dd3cda69c6bd1ea1381fe1a9df842ac809450/fluidsim-0.8.0rc0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,040   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/64/e6/ec545d393ff93c6980edacd0a1e11214011e18f9c70045fcd939fa9755de/fluidsim-0.8.0rc0-cp39-cp39-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,041   Found link https://files.pythonhosted.org/packages/6b/53/47a01af6100f0f3dd0090a2fda73b3e3d5f46035efd7a0540277658da5b3/fluidsim-0.8.0rc0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9), version: 0.8.0rc0
2024-04-28T16:36:25,042   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/be/3b/b472d450042928f82825f1c77154eaeee0a2f1665b25f058561c912c2bc1/fluidsim-0.8.0rc2-cp310-cp310-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,042   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/09/c9/5dbd66521ff5e6259dfe31068ab1ffcb6cc5149e6052daac14324531bd43/fluidsim-0.8.0rc2-cp310-cp310-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,043   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/db/33/aafba413b7e48ae827c0990253b8bc24a663a3a2d8247d11aaac26937b5b/fluidsim-0.8.0rc2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,043   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/e7/15/3046cd52410d1cb4761ef2c0c861b22949aeaaa565b77f30e1928daf100f/fluidsim-0.8.0rc2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,044   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/0f/a8/428eb94480b479aa1f760d43933643b5b9d7ccd3941788adab42b9860222/fluidsim-0.8.0rc2-cp310-cp310-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,045   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/e0/53/db3b848b0e8e4b194abbe47fcdd7745b6286bf733c7ab690c97c1f299b89/fluidsim-0.8.0rc2-cp311-cp311-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,045   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/f2/06/7413ea08565f032b8cfabd4bc7b970cc1121901e90b63edfaddb897b5a88/fluidsim-0.8.0rc2-cp311-cp311-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,046   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/96/bc/55690a5041ddcbd2b69f48cfc744bcb40964aa47639500a62d10663fe668/fluidsim-0.8.0rc2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,047   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/26/6c/638523eeeb03b768a5ced9507d5df639a8b5806180e98744e6b524d9c53f/fluidsim-0.8.0rc2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,047   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/c8/72/8c4e98052b5d1a17266673ae1eaf15a663ee7981173878499cbd7520e84c/fluidsim-0.8.0rc2-cp311-cp311-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,048   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/02/0b/f8ebe38d0cc7bc5ed0dd12a171d2645a1f5e6723b93802b575192af243cd/fluidsim-0.8.0rc2-cp312-cp312-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,048   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/ec/e3/3512a485c9e6e5b0afb59c4c2ef53492e244a4e3c2b581698404c958efbb/fluidsim-0.8.0rc2-cp312-cp312-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,049   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/3a/2e/c9d7844be8c3e45b18c55881991dbe5479dca1977f446376a28ce5575eee/fluidsim-0.8.0rc2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,050   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/29/31/3f0ef14cd2f4874c321020557ce6d41f7f121d16a26534b2d764e3380a76/fluidsim-0.8.0rc2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,050   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/53/08/afa70df740b99fba6d6090b19d8de8a8a11c37f405e77228a054555c6439/fluidsim-0.8.0rc2-cp312-cp312-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,051   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/f6/50/fbb001d7d40cd91986691eee6a218a6fe994092eb79b2d4035fe3a836e7f/fluidsim-0.8.0rc2-cp39-cp39-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,052   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/d5/1e/246596a7fb416ab4a9747ca2fc6b9a7bd69dd1829adbafea7fb38cd83baf/fluidsim-0.8.0rc2-cp39-cp39-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,052   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/15/18/efad0a27176ca0707c271089673d6d12367edc162f70c226e8768c0bddfb/fluidsim-0.8.0rc2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,053   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/93/bc/d42d7fb50c0f46fb01e15e7883303188b692d0a7ddcd4dcca6bdf4c71fe7/fluidsim-0.8.0rc2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,053   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/0d/00/3c3fea8ed112832e351d919290f7257ed7dbc7b5773945a5013b09c99345/fluidsim-0.8.0rc2-cp39-cp39-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,054   Found link https://files.pythonhosted.org/packages/4d/f3/12cc54c1880f50f268db4fcb92e696ef8c039a0bb847d2b850d583510173/fluidsim-0.8.0rc2.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9), version: 0.8.0rc2
2024-04-28T16:36:25,055   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/c9/73/6fdf57890cef851e06c92ae2a9ccd1bf68edc27187438a7c39a1ffde31ce/fluidsim-0.8.0rc3-cp310-cp310-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,055   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/d3/f4/c13fc3a5eb0621abddc570be5031a744b0ed77244562ba389a7752279367/fluidsim-0.8.0rc3-cp310-cp310-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,056   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/e6/2b/9c88c3bee210894d42052b7e4ed763357ec954f870354297ebcdb82c12b2/fluidsim-0.8.0rc3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,059   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/96/ac/00e8609deb67c85130c0f5681df69f80558788b9b73844a3e2840038d99d/fluidsim-0.8.0rc3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,059   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/0a/8b/214a92668143c248b772405a141e295ec6d5c8fd86cc7213c50dad6f5df1/fluidsim-0.8.0rc3-cp310-cp310-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,060   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/5a/b6/3d881fb80306127ce1a831f0cbb901aba7308ec76f0c60afb05adc0172fa/fluidsim-0.8.0rc3-cp311-cp311-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,061   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/db/cf/a5d63363351c1a9f704ce765f6bf034f388b226ec4e0b1a0b59b87e28df9/fluidsim-0.8.0rc3-cp311-cp311-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,061   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/c7/23/6a860d5e9699bf36cde5601ef510b88d27a222816fc5cd1ad7867882aec3/fluidsim-0.8.0rc3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,062   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/f3/ba/965445e3b8d94496130dffb7b6d2ad3120d1b912e108c9ab82c8bdbc8501/fluidsim-0.8.0rc3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,063   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/0f/87/bc810e61a1940fc982bd046937221c19ae3ff2dbee820475ce230553b65e/fluidsim-0.8.0rc3-cp311-cp311-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,063   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/a4/9f/2356fb4d34380936190b02c322cf41d57963a6a55e8f942be74399a96fbd/fluidsim-0.8.0rc3-cp312-cp312-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,064   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/82/65/deeb3b401ae23556b4d6fb0e5de6b92be4b03898b476c57ebafb43670c32/fluidsim-0.8.0rc3-cp312-cp312-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,064   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/2f/f6/d4400d275512f704961a76fa06269ccef348ac6bdfca42a892e10b75e0dd/fluidsim-0.8.0rc3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,065   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/72/f0/e3f35643f87480ac7744aa29b2cabeec23e481b320345faeb0d759b14e1c/fluidsim-0.8.0rc3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,065   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/29/c0/77559f11a47f884b29de5baa0890cee200ef2fd6c9f074b2b4ec7883e817/fluidsim-0.8.0rc3-cp312-cp312-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,066   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/19/30/2c7db4f3b93e29b4a8d8795dcf925de908093d4d5a895837a74ac5941342/fluidsim-0.8.0rc3-cp39-cp39-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,066   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/12/99/e7ab2823f0159968f0464e7d3de2a93a9d0ed9decdaf2f4462ce3e50696c/fluidsim-0.8.0rc3-cp39-cp39-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,067   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/55/e0/d29a070bf28f8c988908be6835b0c6c51b2321bfd7bd532b96890db12bda/fluidsim-0.8.0rc3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,068   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/04/1d/8a59ff637bd9bf7ec90b9b095f4290f00639f3fb0a6b038322901c992129/fluidsim-0.8.0rc3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,068   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/ec/78/bcc3d5ad5b328e1f2320dae5cb758eb2bf12c1f1e5aaeeceb18bfc893a1b/fluidsim-0.8.0rc3-cp39-cp39-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,069   Found link https://files.pythonhosted.org/packages/56/ce/0ccd124c1ed5e2ecc6495f536ed1443382cc51937dcc4ae067900af06d01/fluidsim-0.8.0rc3.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9), version: 0.8.0rc3
2024-04-28T16:36:25,070   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/7e/3f/dc45984295f7351ecbbaf7811a0b1ccd0db4eaece20725b273b2ee7f1ec9/fluidsim-0.8.0-cp310-cp310-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,071   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/51/37/267ed109e8d258b1c169c0397e66196eef8ddd1ff17da4d5c32837732d1a/fluidsim-0.8.0-cp310-cp310-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,072   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/2e/48/aa461d7b927f1df5142c36869787fe7e90534d3e7b8659d611633fc6f53c/fluidsim-0.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,072   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/a6/70/fda012413d45924f5fcba53b106a908c974d2a2e7ff203434ec2ae833901/fluidsim-0.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,073   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/1e/ba/bd4d5959c57ce6d7b63366b0a03e58728b4c84ac655a6dbff8afccb4168b/fluidsim-0.8.0-cp310-cp310-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,073   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/98/6d/eaff430ce96398a7ac4341145086ee1ce452a062d2d9fe3c8c5b119e93ce/fluidsim-0.8.0-cp311-cp311-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,074   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/5a/b3/2421862007faf21e74644afb33909bf4885cbfb62cac2834d5246921f036/fluidsim-0.8.0-cp311-cp311-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,074   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/0e/0b/6ccafce7ae10fdd1fab2fd9292b9741d106470c012364ad718d5275204aa/fluidsim-0.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,075   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/14/92/32cdd3dc563c01fb4e00e88c7cea8fc0f986560ac08ac87fa3961fae56fc/fluidsim-0.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,075   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/4e/10/1b04609d2cd1f9de690de1ea2bceb0e9e2ae18213fbce5775ebcb6109dd0/fluidsim-0.8.0-cp311-cp311-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,076   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/1a/e1/33c291d3d881de39cbf64421206fff86a14187039a9b967140801f31c726/fluidsim-0.8.0-cp312-cp312-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,077   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/b9/48/b4b9fd1af30f137c45121d6d48bf667916364f8c7545c824ae4e3c903260/fluidsim-0.8.0-cp312-cp312-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,077   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/57/fd/c6873f4a47685727f98394854798665105b11f5597ba2b38d41739dd0d6c/fluidsim-0.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,078   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/36/e9/9cea8d21bf899bd4f496bb8a71b9fd286853a5df46947a9720891b571935/fluidsim-0.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,078   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/b3/5c/dbb2757b0f6df294bc51c0b1c0390cac4ebac3fbd370e12cc489390d2a2b/fluidsim-0.8.0-cp312-cp312-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,079   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/8d/47/e64968d3c055cfa214a8381bace69a916165449ca5c0958e400d0241edd9/fluidsim-0.8.0-cp39-cp39-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,080   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/1f/15/8ca481111b79953666f7bf307f2f29aa90965de41a69261e22c3b912d536/fluidsim-0.8.0-cp39-cp39-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,080   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/08/a8/11183a4d426b783545efad50b6624863d857d0bfc29715f03f1b11199b27/fluidsim-0.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,081   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/52/56/f31c26e47a8576221703e64c8b6a4a3337d8c874bb21cf04cb3280a66bba/fluidsim-0.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,081   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/b8/3d/79ce123ae35fa2d2eaef18ca9ff4e37a1fa230ceec3b91e2ebc1aef88ca9/fluidsim-0.8.0-cp39-cp39-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,082   Found link https://files.pythonhosted.org/packages/2e/0c/27ce2c17080444f98f7892e6049f7d0e49a2dcd4fad124c45bd8226fe700/fluidsim-0.8.0.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9), version: 0.8.0
2024-04-28T16:36:25,083   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/a9/64/c0f208f40cbad4e48bdfeb742b1044408ab473f40b6562ae2ab0fcd272e8/fluidsim-0.8.1-cp310-cp310-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,084   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/5b/45/a64f696edc46041c101c154e3fafb041731b8bc8b26256dc7d831aedd4e4/fluidsim-0.8.1-cp310-cp310-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,084   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/53/ec/66bfb97f91133e315574e532139e4842664ce9d3a0fa9e305a43cc8b901e/fluidsim-0.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,085   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/85/51/c9602222c9fc27cb95ae12f88d292dea9707f52f32f5c1cb433dfb963bc1/fluidsim-0.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,086   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/3c/b8/30770d8b0f472cdd73b631f6fca3bcce18ab7da28ce6a05db1d60ff6695b/fluidsim-0.8.1-cp310-cp310-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,086   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/2b/3c/9de1facc47a27364d1c85c05a347863e0fb3cf187b5d2b26df02c24f1480/fluidsim-0.8.1-cp311-cp311-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,087   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/cb/dd/63d2eef96d90b54d08f0b74451a3770a70b2393f25374df69f0e8f7361cf/fluidsim-0.8.1-cp311-cp311-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,087   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/ae/a4/8b52b45088d25880818d5b79b89d0eefe018fbab67abf3eeee475cf143e8/fluidsim-0.8.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,088   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/d2/ec/54faf505cde12956a19989231ed373d096eb8eab7416ddb116c6a7bdeed3/fluidsim-0.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,089   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/08/c0/9fdf6f63661c54e191f9bda79ab88865f61ffe6ee6f80635c12fb3d58847/fluidsim-0.8.1-cp311-cp311-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,089   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/5d/4a/b9f7938271a4d9161dcbad2a542e646850dca4e8dacd60650f09fefe11e1/fluidsim-0.8.1-cp312-cp312-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,090   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/6f/e0/b05c9b77bf9d9bfbac149743122023cbc32941d732465fc986de22dd0502/fluidsim-0.8.1-cp312-cp312-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,090   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/93/ca/9da07e63be053f859f63bc26af9400aa6e9175abbe7ddcd16de745ce0923/fluidsim-0.8.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,091   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/36/1e/8c3f6023e04cc2d141ebab157d5d2a0ca853777edee33c049a502e17e514/fluidsim-0.8.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,091   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/30/1a/903c179cb551ea2fa8aec7654680b0074abf9d65fe87d3436a3dadf54175/fluidsim-0.8.1-cp312-cp312-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,092   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/f2/1b/b0255727e4177b25e4c729f3cadc4eb1821d2e63d697221f7933c0f22d47/fluidsim-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,093   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/a6/0d/88ead3c70cfbafba7afa0b381332dab3d3d816d23d18ff1535127eedce2c/fluidsim-0.8.1-cp39-cp39-macosx_11_0_arm64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,093   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/31/8f/cebdf89abad2df9005ca933a80207d9982cc8cbc1808988f9db8a9fef4fd/fluidsim-0.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,094   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/ab/f8/684fcfff566c2f221e806164ea9af29a80376f10ee4286f37b7a0525dec2/fluidsim-0.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,094   Skipping link: No binaries permitted for fluidsim: https://files.pythonhosted.org/packages/4b/0d/adc392da641e62398537cd1478be22fab2ada3c027c70eff6e138585a65e/fluidsim-0.8.1-cp39-cp39-win_amd64.whl (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9)
2024-04-28T16:36:25,095   Found link https://files.pythonhosted.org/packages/76/89/b3d8d2bcc423057881ae644d086fb3870b4ba533cfe248eb650a8406ccae/fluidsim-0.8.1.tar.gz (from https://pypi.org/simple/fluidsim/) (requires-python:>=3.9), version: 0.8.1
2024-04-28T16:36:25,096 Fetching project page and analyzing links: https://www.piwheels.org/simple/fluidsim/
2024-04-28T16:36:25,097 Getting page https://www.piwheels.org/simple/fluidsim/
2024-04-28T16:36:25,098 Found index url https://www.piwheels.org/simple/
2024-04-28T16:36:25,314 Fetched page https://www.piwheels.org/simple/fluidsim/ as text/html
2024-04-28T16:36:25,343   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.4-cp39-cp39-linux_armv6l.whl#sha256=615fea86a605a33eb6ecc4a53df07fe113fda6ab8efef27923a9fddca6e8dd58 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,344   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.4-cp39-cp39-linux_armv7l.whl#sha256=615fea86a605a33eb6ecc4a53df07fe113fda6ab8efef27923a9fddca6e8dd58 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,344   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.4-cp311-cp311-linux_armv6l.whl#sha256=75aeee08d4bb5ef9ca0d55c449558998053d957519f827a7cae0a1e16734ec67 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,345   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.4-cp311-cp311-linux_armv7l.whl#sha256=75aeee08d4bb5ef9ca0d55c449558998053d957519f827a7cae0a1e16734ec67 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,345   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.3-cp39-cp39-linux_armv6l.whl#sha256=4abd45e1849f520182887831ca25de09813e317e19ff7d0d8c2b1810d24a6bec (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,346   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.3-cp39-cp39-linux_armv7l.whl#sha256=4abd45e1849f520182887831ca25de09813e317e19ff7d0d8c2b1810d24a6bec (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,347   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.2-cp39-cp39-linux_armv6l.whl#sha256=fba0477c8cae820fa6cf075c4dc022ad31e3603d3a88ae0e4a7fdeafa07fc95a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,347   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.2-cp39-cp39-linux_armv7l.whl#sha256=fba0477c8cae820fa6cf075c4dc022ad31e3603d3a88ae0e4a7fdeafa07fc95a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,348   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.1-cp39-cp39-linux_armv6l.whl#sha256=ee74a804f11a3f53b6cc3010a1af1b8dd1aa6de6f264ffd2e84e1ff5bbffc6f7 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,349   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.1-cp39-cp39-linux_armv7l.whl#sha256=ee74a804f11a3f53b6cc3010a1af1b8dd1aa6de6f264ffd2e84e1ff5bbffc6f7 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,349   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.0-cp39-cp39-linux_armv6l.whl#sha256=d54d907a13b2e175cfb3d328c34141bb49dd31b288581c6038a2dc10e001bb4a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,350   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.0-cp39-cp39-linux_armv7l.whl#sha256=d54d907a13b2e175cfb3d328c34141bb49dd31b288581c6038a2dc10e001bb4a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,350   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.0rc1-py3-none-any.whl#sha256=05716d5810541b71e8996e517e110e63d37b3bc5f1fb5cc6cf97046c65bda6ce (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,351   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.7.0rc0-py3-none-any.whl#sha256=5b489d7d56a6daca3a48c58ad4da82147e4f73dd52675cd4c6b474416e374514 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,352   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1-cp39-cp39-linux_armv6l.whl#sha256=a5c3468f933a5b7901460b52996d62ddb35e0e1ec5967afc20a2a14487661622 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,352   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1-cp39-cp39-linux_armv7l.whl#sha256=a5c3468f933a5b7901460b52996d62ddb35e0e1ec5967afc20a2a14487661622 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,353   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1rc1-cp39-cp39-linux_armv6l.whl#sha256=56b3dc0145dbf13c4564e193969dcdcd03703d357870d39b267163a7cb6f6e59 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,353   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1rc1-cp39-cp39-linux_armv7l.whl#sha256=56b3dc0145dbf13c4564e193969dcdcd03703d357870d39b267163a7cb6f6e59 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,354   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1rc0-cp39-cp39-linux_armv6l.whl#sha256=9bbcdf1184a82136084e6da6efc9e2b659e76bec02c06cab35e574a80a4e2132 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,354   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1rc0-cp39-cp39-linux_armv7l.whl#sha256=9bbcdf1184a82136084e6da6efc9e2b659e76bec02c06cab35e574a80a4e2132 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,355   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1rc0-cp311-cp311-linux_armv6l.whl#sha256=ecb90c01890f58ff8de2be69e1f7845041eed41e88f874ac646cfb765f02d663 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,356   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.1rc0-cp311-cp311-linux_armv7l.whl#sha256=ecb90c01890f58ff8de2be69e1f7845041eed41e88f874ac646cfb765f02d663 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,356   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.0-cp39-cp39-linux_armv6l.whl#sha256=a34d2d6df80502d45d8358f73edcf46d4441f2c3093531ebcfe0138649fbb4f4 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,357   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.0-cp39-cp39-linux_armv7l.whl#sha256=a34d2d6df80502d45d8358f73edcf46d4441f2c3093531ebcfe0138649fbb4f4 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,357   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.0b0-cp39-cp39-linux_armv6l.whl#sha256=3dbb8d2a44a124d52a5d45768131664ebd5d7bcadc0e1a2391917972e7965e49 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,358   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.6.0b0-cp39-cp39-linux_armv7l.whl#sha256=3dbb8d2a44a124d52a5d45768131664ebd5d7bcadc0e1a2391917972e7965e49 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.8)
2024-04-28T16:36:25,359   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.1-cp37-cp37m-linux_armv6l.whl#sha256=197082545c9aa2ad15b9dca6de5ee84c446c29ffd01760657d1925d8e217a533 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,359   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.1-cp37-cp37m-linux_armv7l.whl#sha256=197082545c9aa2ad15b9dca6de5ee84c446c29ffd01760657d1925d8e217a533 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,360   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.1-cp39-cp39-linux_armv6l.whl#sha256=f264292cec75952eda48e4a7e8fed2481bf0b88b311b1bcead961af05fe58752 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,360   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.1-cp39-cp39-linux_armv7l.whl#sha256=f264292cec75952eda48e4a7e8fed2481bf0b88b311b1bcead961af05fe58752 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,361   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0.post0-cp37-cp37m-linux_armv6l.whl#sha256=81dd1669b44c0967e9393960158cd62de24a00d85f40cb8f6681b4c516ada54a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,361   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0.post0-cp37-cp37m-linux_armv7l.whl#sha256=81dd1669b44c0967e9393960158cd62de24a00d85f40cb8f6681b4c516ada54a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,362   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0.post0-cp39-cp39-linux_armv6l.whl#sha256=902f98e4846914497c21fdf711361685459d2ce5cc9647248827e88f7ac2099c (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,363   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0.post0-cp39-cp39-linux_armv7l.whl#sha256=902f98e4846914497c21fdf711361685459d2ce5cc9647248827e88f7ac2099c (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,363   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0-cp37-cp37m-linux_armv6l.whl#sha256=aa4ff0a5dc4bb90119b517cca7427f5ed33d6ecd706a9eff0ab60847f51264c2 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,364   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0-cp37-cp37m-linux_armv7l.whl#sha256=aa4ff0a5dc4bb90119b517cca7427f5ed33d6ecd706a9eff0ab60847f51264c2 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,364   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0-cp39-cp39-linux_armv6l.whl#sha256=cb83f3d1260b5ff01843c5041cd1032c4acdd6742d07f73a733750b86cea0fc9 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,365   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.5.0-cp39-cp39-linux_armv7l.whl#sha256=cb83f3d1260b5ff01843c5041cd1032c4acdd6742d07f73a733750b86cea0fc9 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,366   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.1-cp37-cp37m-linux_armv6l.whl#sha256=ee0420ba56a72e09284dcc646c97317558ddd6a300b458d0700224fd087b1e9d (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,366   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.1-cp37-cp37m-linux_armv7l.whl#sha256=ee0420ba56a72e09284dcc646c97317558ddd6a300b458d0700224fd087b1e9d (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,367   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.1-cp39-cp39-linux_armv6l.whl#sha256=c24ea5d52234c18eb4e2fc70a320aedf13799e58f7bf713c95e0ebe95a495e7b (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,368   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.1-cp39-cp39-linux_armv7l.whl#sha256=c24ea5d52234c18eb4e2fc70a320aedf13799e58f7bf713c95e0ebe95a495e7b (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,368   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.0-cp37-cp37m-linux_armv6l.whl#sha256=2151f1e3cae8d08ec0ff7182da7b6fa8590c245aca857d9b07513417e69bf64a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,369   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.0-cp37-cp37m-linux_armv7l.whl#sha256=2151f1e3cae8d08ec0ff7182da7b6fa8590c245aca857d9b07513417e69bf64a (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,369   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.0-cp39-cp39-linux_armv6l.whl#sha256=9cdc4153b443983883c7b4885a819ca36b63fa41156a5940bbf37f07dd99b92e (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,370   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.4.0-cp39-cp39-linux_armv7l.whl#sha256=9cdc4153b443983883c7b4885a819ca36b63fa41156a5940bbf37f07dd99b92e (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,370   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.3.3-cp37-cp37m-linux_armv6l.whl#sha256=bf2190672f8214f530a61c09c46cf1de212880f480c1659e80cf3b4e2f5c6fcd (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,371   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.3.3-cp37-cp37m-linux_armv7l.whl#sha256=bf2190672f8214f530a61c09c46cf1de212880f480c1659e80cf3b4e2f5c6fcd (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=3.6)
2024-04-28T16:36:25,371   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.3.2-py3-none-any.whl#sha256=4b08b659fba40ee73f91f262f342c2f54b1190be013b11c5a82e0ca6f9981c7d (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>= 3.6)
2024-04-28T16:36:25,372   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.3.1-py3-none-any.whl#sha256=f8c6a24cf67c9dc043acf1955f28ccef74010bb8ac8d2006dc86405678e789ee (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>= 3.6)
2024-04-28T16:36:25,373   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.3.0-cp37-cp37m-linux_armv7l.whl#sha256=f8ac84b61700fdaa5b2bd6d64e1d667ed78d6d7ca8cd3e4477bce54310d37b02 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>= 3.6)
2024-04-28T16:36:25,373   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.3.0-cp37-cp37m-linux_armv6l.whl#sha256=f8ac84b61700fdaa5b2bd6d64e1d667ed78d6d7ca8cd3e4477bce54310d37b02 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>= 3.6)
2024-04-28T16:36:25,374   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp37-cp37m-linux_armv6l.whl#sha256=2f3532e5386a1cdd4598f746e176e61c965aec1107b22fc888bf80ddf06d9494 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,374   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp37-cp37m-linux_armv7l.whl#sha256=2f3532e5386a1cdd4598f746e176e61c965aec1107b22fc888bf80ddf06d9494 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,375   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp34-cp34m-linux_armv7l.whl#sha256=f3341130f856fbd6f67c2f9df69e271dc711066fd8f615c777c966cee590d630 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,375   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp34-cp34m-linux_armv6l.whl#sha256=f3341130f856fbd6f67c2f9df69e271dc711066fd8f615c777c966cee590d630 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,376   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp35-cp35m-linux_armv7l.whl#sha256=134fdab24427491ad4647125d97cb89b1296d7a374bb074198c269d015b001d0 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,376   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp35-cp35m-linux_armv6l.whl#sha256=134fdab24427491ad4647125d97cb89b1296d7a374bb074198c269d015b001d0 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,377   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp39-cp39-linux_armv6l.whl#sha256=3e7c9a064c2a7a3d5e1457c0872d4999591eaed7841e6dd3a03c0b3dd4ebc1bc (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,377   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2.post0-cp39-cp39-linux_armv7l.whl#sha256=3e7c9a064c2a7a3d5e1457c0872d4999591eaed7841e6dd3a03c0b3dd4ebc1bc (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,378   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp37-cp37m-linux_armv7l.whl#sha256=5b72590eb41a8bf713ddb4b2b5e3ea3254572e3c9a7f5c415c43f8a80ec98919 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,379   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp37-cp37m-linux_armv6l.whl#sha256=5b72590eb41a8bf713ddb4b2b5e3ea3254572e3c9a7f5c415c43f8a80ec98919 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,379   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp34-cp34m-linux_armv6l.whl#sha256=954810f86f199bbe9238958b4fa80b3455c6e103ca364c09b19bd2fcfd709749 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,380   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp34-cp34m-linux_armv7l.whl#sha256=954810f86f199bbe9238958b4fa80b3455c6e103ca364c09b19bd2fcfd709749 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,380   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp35-cp35m-linux_armv7l.whl#sha256=8db42e3116ca5132fee24d4dbcd10c2daffaaa8d6b12a9fe1fec4886fd8e2edc (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,381   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp35-cp35m-linux_armv6l.whl#sha256=8db42e3116ca5132fee24d4dbcd10c2daffaaa8d6b12a9fe1fec4886fd8e2edc (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,382   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp39-cp39-linux_armv6l.whl#sha256=7eee1535a4434a42e4e984446e6d18d4c8d499023c372b20b08b5e4221d19224 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,382   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.2-cp39-cp39-linux_armv7l.whl#sha256=7eee1535a4434a42e4e984446e6d18d4c8d499023c372b20b08b5e4221d19224 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,383   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.1-cp37-cp37m-linux_armv6l.whl#sha256=c500434c7f2063ff47c97072b934dc58ebf0bf164c16901ecf889c877f8bded3 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,383   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.1-cp37-cp37m-linux_armv7l.whl#sha256=c500434c7f2063ff47c97072b934dc58ebf0bf164c16901ecf889c877f8bded3 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,384   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.1-cp35-cp35m-linux_armv7l.whl#sha256=b8eb2319e72107f58c0ec699c5f79245ba999d905c84122f3e48ea141aa56048 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,384   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.1-cp35-cp35m-linux_armv6l.whl#sha256=b8eb2319e72107f58c0ec699c5f79245ba999d905c84122f3e48ea141aa56048 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,385   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.1-cp39-cp39-linux_armv6l.whl#sha256=0eff1d94174e24a3963cc01747a80e3c22ab3c199136aeaaab8213ed96e07340 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,386   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.1-cp39-cp39-linux_armv7l.whl#sha256=0eff1d94174e24a3963cc01747a80e3c22ab3c199136aeaaab8213ed96e07340 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,386   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.0-cp37-cp37m-linux_armv6l.whl#sha256=b05698d78fbecac49434a5624f82847e107850d0e0e0d98c2a8f6bb47c9d9d8d (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,387   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.0-cp37-cp37m-linux_armv7l.whl#sha256=b05698d78fbecac49434a5624f82847e107850d0e0e0d98c2a8f6bb47c9d9d8d (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,387   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.0-cp35-cp35m-linux_armv6l.whl#sha256=cf05e13cfc0714ead52666d62920f15d6b7d3d79f50ac3891df8937aa6eb5400 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,388   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.0-cp35-cp35m-linux_armv7l.whl#sha256=cf05e13cfc0714ead52666d62920f15d6b7d3d79f50ac3891df8937aa6eb5400 (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,389   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.0-cp39-cp39-linux_armv6l.whl#sha256=f6d75d6f82056b940545466b5dbab66eda852e080750a06602e2eaad6dc75f3b (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,389   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.2.0-cp39-cp39-linux_armv7l.whl#sha256=f6d75d6f82056b940545466b5dbab66eda852e080750a06602e2eaad6dc75f3b (from https://www.piwheels.org/simple/fluidsim/) (requires-python:>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*)
2024-04-28T16:36:25,390   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp37-cp37m-linux_armv6l.whl#sha256=43ccea8812db9ebffa71ef70b2d7e1c82f2ee43f0c836e861ad1581b1b2f51df (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,390   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp37-cp37m-linux_armv7l.whl#sha256=43ccea8812db9ebffa71ef70b2d7e1c82f2ee43f0c836e861ad1581b1b2f51df (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,391   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp34-cp34m-linux_armv6l.whl#sha256=003b7fb10856b883258c888bf7c37c85bd0d8121e3cd7a599ec5e390aa93b405 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,391   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp34-cp34m-linux_armv7l.whl#sha256=003b7fb10856b883258c888bf7c37c85bd0d8121e3cd7a599ec5e390aa93b405 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,392   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp35-cp35m-linux_armv6l.whl#sha256=de747d2a56ff2317b444c5f529e38d4542bb0fdcd90151e03e25654d68ed397e (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,392   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp35-cp35m-linux_armv7l.whl#sha256=de747d2a56ff2317b444c5f529e38d4542bb0fdcd90151e03e25654d68ed397e (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,393   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp39-cp39-linux_armv6l.whl#sha256=08cd94a02199545424e9143122246f10166487544282e8e3d980c93af3384664 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,394   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.1-cp39-cp39-linux_armv7l.whl#sha256=08cd94a02199545424e9143122246f10166487544282e8e3d980c93af3384664 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,394   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp37-cp37m-linux_armv7l.whl#sha256=5a4af71c018347023421068e46349b95f538cd26459e670d576144c5e9f2586c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,395   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp37-cp37m-linux_armv6l.whl#sha256=5a4af71c018347023421068e46349b95f538cd26459e670d576144c5e9f2586c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,395   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp34-cp34m-linux_armv7l.whl#sha256=958372be0d2658d8becd6010f2dc4977078c3f3efdf224f44e92e86baad0cab7 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,397   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp34-cp34m-linux_armv6l.whl#sha256=958372be0d2658d8becd6010f2dc4977078c3f3efdf224f44e92e86baad0cab7 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,397   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp35-cp35m-linux_armv6l.whl#sha256=29bac035437a6982a0b2dd2c880fa88c081c2ea10d4ab8d8cb0bcc8aab6f86bc (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,397   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp35-cp35m-linux_armv7l.whl#sha256=29bac035437a6982a0b2dd2c880fa88c081c2ea10d4ab8d8cb0bcc8aab6f86bc (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,398   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp39-cp39-linux_armv6l.whl#sha256=5ce0156d6cb61522dcc654e82a3b51978ac56bcb12ca92254002090c5bcd88a5 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,398   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post2-cp39-cp39-linux_armv7l.whl#sha256=5ce0156d6cb61522dcc654e82a3b51978ac56bcb12ca92254002090c5bcd88a5 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,399   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp37-cp37m-linux_armv7l.whl#sha256=8ed78c933e0895d6b5f10d2cab9f79016de9946bbfe0d8029f9c0436864fa757 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,399   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp37-cp37m-linux_armv6l.whl#sha256=8ed78c933e0895d6b5f10d2cab9f79016de9946bbfe0d8029f9c0436864fa757 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,400   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp35-cp35m-linux_armv7l.whl#sha256=adafb7aaa815aa1da0844e80661ee6ed62c5ade54a0abbf7a35f9ce160f33c4c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,400   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp35-cp35m-linux_armv6l.whl#sha256=adafb7aaa815aa1da0844e80661ee6ed62c5ade54a0abbf7a35f9ce160f33c4c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,401   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp34-cp34m-linux_armv6l.whl#sha256=85bf72e6ce2d834e87150c313e27fc3822f18b11886d287be9f2cfdf66c0e169 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,402   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp34-cp34m-linux_armv7l.whl#sha256=85bf72e6ce2d834e87150c313e27fc3822f18b11886d287be9f2cfdf66c0e169 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,402   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp39-cp39-linux_armv6l.whl#sha256=8cc065639b0b33e23aaaa88c0e4e454d3921a63292f090ebc9c5e0a9f8abd41c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,403   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0.post1-cp39-cp39-linux_armv7l.whl#sha256=8cc065639b0b33e23aaaa88c0e4e454d3921a63292f090ebc9c5e0a9f8abd41c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,404   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp37-cp37m-linux_armv6l.whl#sha256=0876f12e276e943f4b4e48647a4a524b41aa38fbe7fc4725e95c428cd086e838 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,405   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp37-cp37m-linux_armv7l.whl#sha256=0876f12e276e943f4b4e48647a4a524b41aa38fbe7fc4725e95c428cd086e838 (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,405   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp35-cp35m-linux_armv6l.whl#sha256=2cbf539336a993ab5e5c7ebca42b02decf47709a9dfad7d27aae96d2f538688f (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,405   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp35-cp35m-linux_armv7l.whl#sha256=2cbf539336a993ab5e5c7ebca42b02decf47709a9dfad7d27aae96d2f538688f (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,406   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp34-cp34m-linux_armv7l.whl#sha256=54c30f7444422fde5c8f2020999d36fd68fcba23b37892834234dc94c2fa675c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,406   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp34-cp34m-linux_armv6l.whl#sha256=54c30f7444422fde5c8f2020999d36fd68fcba23b37892834234dc94c2fa675c (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,407   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp39-cp39-linux_armv6l.whl#sha256=efb17361a7779dcd2e66933ab589a5f97c39f7ddf714c61840b869a1018fb99d (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,407   Skipping link: No binaries permitted for fluidsim: https://www.piwheels.org/simple/fluidsim/fluidsim-0.1.0-cp39-cp39-linux_armv7l.whl#sha256=efb17361a7779dcd2e66933ab589a5f97c39f7ddf714c61840b869a1018fb99d (from https://www.piwheels.org/simple/fluidsim/)
2024-04-28T16:36:25,408 Skipping link: not a file: https://www.piwheels.org/simple/fluidsim/
2024-04-28T16:36:25,409 Skipping link: not a file: https://pypi.org/simple/fluidsim/
2024-04-28T16:36:25,431 Given no hashes to check 1 links for project 'fluidsim': discarding no candidates
2024-04-28T16:36:25,449 Collecting fluidsim==0.7.3
2024-04-28T16:36:25,451   Created temporary directory: /tmp/pip-unpack-kfy300t9
2024-04-28T16:36:25,586   Downloading fluidsim-0.7.3.tar.gz (415 kB)
2024-04-28T16:36:26,329   Added fluidsim==0.7.3 from https://files.pythonhosted.org/packages/c2/04/e971759a2571f3b41c48eeba4c6690165bf95691493ceff7b096c1a4833c/fluidsim-0.7.3.tar.gz to build tracker '/tmp/pip-build-tracker-mufobkrt'
2024-04-28T16:36:26,340   Created temporary directory: /tmp/pip-build-env-nrh1vxtt
2024-04-28T16:36:26,344   Installing build dependencies: started
2024-04-28T16:36:26,345   Running command pip subprocess to install build dependencies
2024-04-28T16:36:27,524   Using pip 24.0 from /usr/local/lib/python3.11/dist-packages/pip (python 3.11)
2024-04-28T16:36:28,043   Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
2024-04-28T16:36:29,537   Collecting setuptools>=49.5.0
2024-04-28T16:36:29,552     Using cached https://www.piwheels.org/simple/setuptools/setuptools-69.5.1-py3-none-any.whl (894 kB)
2024-04-28T16:36:29,859   Collecting setuptools_scm
2024-04-28T16:36:29,878     Using cached https://www.piwheels.org/simple/setuptools-scm/setuptools_scm-8.0.4-py3-none-any.whl (42 kB)
2024-04-28T16:36:30,075   Collecting wheel
2024-04-28T16:36:30,099     Using cached https://www.piwheels.org/simple/wheel/wheel-0.43.0-py3-none-any.whl (65 kB)
2024-04-28T16:36:30,722     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/3a/be/650f9c091ef71cb01d735775d554e068752d3ff63d7943b26316dc401749/numpy-1.21.2.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:30,726     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/5f/d6/ad58ded26556eaeaa8c971e08b6466f17c4ac4d786cd3d800e26ce59cc01/numpy-1.21.3.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:30,729     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/fb/48/b0708ebd7718a8933f0d3937513ef8ef2f4f04529f1f66ca86d873043921/numpy-1.21.4.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:30,733     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/c2/a8/a924a09492bdfee8c2ec3094d0a13f2799800b4fdc9c890738aeeb12c72e/numpy-1.21.5.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:30,737     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/45/b7/de7b8e67f2232c26af57c205aaad29fe17754f793404f59c8a730c7a191a/numpy-1.21.6.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:31,016   Collecting numpy
2024-04-28T16:36:31,030     Using cached https://www.piwheels.org/simple/numpy/numpy-1.26.4-cp311-cp311-linux_armv7l.whl (5.6 MB)
2024-04-28T16:36:31,426   Collecting transonic
2024-04-28T16:36:31,443     Using cached https://www.piwheels.org/simple/transonic/transonic-0.6.4-py3-none-any.whl (74 kB)
2024-04-28T16:36:32,523   Collecting psutil
2024-04-28T16:36:32,540     Using cached https://www.piwheels.org/simple/psutil/psutil-5.9.8-cp311-abi3-linux_armv7l.whl (283 kB)
2024-04-28T16:36:32,889   Collecting packaging>=20 (from setuptools_scm)
2024-04-28T16:36:32,903     Using cached https://www.piwheels.org/simple/packaging/packaging-24.0-py3-none-any.whl (53 kB)
2024-04-28T16:36:33,323   Collecting typing-extensions (from setuptools_scm)
2024-04-28T16:36:33,338     Using cached https://www.piwheels.org/simple/typing-extensions/typing_extensions-4.11.0-py3-none-any.whl (34 kB)
2024-04-28T16:36:33,496   Collecting autopep8 (from transonic)
2024-04-28T16:36:33,520     Using cached https://www.piwheels.org/simple/autopep8/autopep8-2.1.0-py2.py3-none-any.whl (44 kB)
2024-04-28T16:36:33,607   Collecting beniget~=0.4.0 (from transonic)
2024-04-28T16:36:33,622     Using cached https://www.piwheels.org/simple/beniget/beniget-0.4.1-py3-none-any.whl (9.5 kB)
2024-04-28T16:36:33,759   Collecting gast~=0.5.0 (from transonic)
2024-04-28T16:36:33,778     Using cached https://www.piwheels.org/simple/gast/gast-0.5.4-py3-none-any.whl (19 kB)
2024-04-28T16:36:33,950   Collecting pycodestyle>=2.11.0 (from autopep8->transonic)
2024-04-28T16:36:33,966     Using cached https://www.piwheels.org/simple/pycodestyle/pycodestyle-2.11.1-py2.py3-none-any.whl (31 kB)
2024-04-28T16:36:36,570   Installing collected packages: wheel, typing-extensions, setuptools, pycodestyle, psutil, packaging, numpy, gast, setuptools_scm, beniget, autopep8, transonic
2024-04-28T16:36:36,803     Creating /tmp/pip-build-env-nrh1vxtt/overlay/local/bin
2024-04-28T16:36:36,805     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/wheel to 755
2024-04-28T16:36:39,388     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/pycodestyle to 755
2024-04-28T16:36:48,798     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/f2py to 755
2024-04-28T16:36:49,262     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/autopep8 to 755
2024-04-28T16:36:49,604     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/transonic to 755
2024-04-28T16:36:49,606     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/transonic-clean-dir to 755
2024-04-28T16:36:49,608     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/transonic-get-include to 755
2024-04-28T16:36:49,610     changing mode of /tmp/pip-build-env-nrh1vxtt/overlay/local/bin/transonic-init-meson to 755
2024-04-28T16:36:49,766   Successfully installed autopep8-2.1.0 beniget-0.4.1 gast-0.5.4 numpy-1.26.4 packaging-24.0 psutil-5.9.8 pycodestyle-2.11.1 setuptools-69.5.1 setuptools_scm-8.0.4 transonic-0.6.4 typing-extensions-4.11.0 wheel-0.43.0
2024-04-28T16:36:50,517   Installing build dependencies: finished with status 'done'
2024-04-28T16:36:50,520   Getting requirements to build wheel: started
2024-04-28T16:36:50,521   Running command Getting requirements to build wheel
2024-04-28T16:36:51,508   <string>:123: UserWarning:
2024-04-28T16:36:51,508   ---------------------------------------------------------------------

2024-04-28T16:36:51,509   FFTW was detected, but pyfftw and fluidfft will not be auto-installed
2024-04-28T16:36:51,510   (which was the case in previous fluidsim versions). To do so, instead
2024-04-28T16:36:51,510   of:

2024-04-28T16:36:51,511       pip install fluidsim

2024-04-28T16:36:51,512   specify "extras":

2024-04-28T16:36:51,513       pip install "fluidsim[fft]"

2024-04-28T16:36:51,515   ---------------------------------------------------------------------

2024-04-28T16:36:51,752   Getting requirements to build wheel: finished with status 'done'
2024-04-28T16:36:51,780   Installing backend dependencies: started
2024-04-28T16:36:51,782   Running command pip subprocess to install backend dependencies
2024-04-28T16:36:53,024   Using pip 24.0 from /usr/local/lib/python3.11/dist-packages/pip (python 3.11)
2024-04-28T16:36:53,520   Looking in indexes: https://pypi.org/simple, https://www.piwheels.org/simple
2024-04-28T16:36:53,934   Collecting pythran>=0.9.7
2024-04-28T16:36:53,950     Using cached https://www.piwheels.org/simple/pythran/pythran-0.15.0-py3-none-any.whl (4.3 MB)
2024-04-28T16:36:54,341   Collecting ply>=3.4 (from pythran>=0.9.7)
2024-04-28T16:36:54,358     Using cached https://www.piwheels.org/simple/ply/ply-3.11-py2.py3-none-any.whl (49 kB)
2024-04-28T16:36:55,539   Collecting setuptools (from pythran>=0.9.7)
2024-04-28T16:36:55,555     Using cached https://www.piwheels.org/simple/setuptools/setuptools-69.5.1-py3-none-any.whl (894 kB)
2024-04-28T16:36:55,689   Collecting gast~=0.5.0 (from pythran>=0.9.7)
2024-04-28T16:36:55,703     Using cached https://www.piwheels.org/simple/gast/gast-0.5.4-py3-none-any.whl (19 kB)
2024-04-28T16:36:56,320     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/3a/be/650f9c091ef71cb01d735775d554e068752d3ff63d7943b26316dc401749/numpy-1.21.2.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:56,323     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/5f/d6/ad58ded26556eaeaa8c971e08b6466f17c4ac4d786cd3d800e26ce59cc01/numpy-1.21.3.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:56,326     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/fb/48/b0708ebd7718a8933f0d3937513ef8ef2f4f04529f1f66ca86d873043921/numpy-1.21.4.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:56,330     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/c2/a8/a924a09492bdfee8c2ec3094d0a13f2799800b4fdc9c890738aeeb12c72e/numpy-1.21.5.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:56,333     Link requires a different Python (3.11.2 not in: '>=3.7,<3.11'): https://files.pythonhosted.org/packages/45/b7/de7b8e67f2232c26af57c205aaad29fe17754f793404f59c8a730c7a191a/numpy-1.21.6.zip (from https://pypi.org/simple/numpy/) (requires-python:>=3.7,<3.11)
2024-04-28T16:36:56,612   Collecting numpy (from pythran>=0.9.7)
2024-04-28T16:36:56,627     Using cached https://www.piwheels.org/simple/numpy/numpy-1.26.4-cp311-cp311-linux_armv7l.whl (5.6 MB)
2024-04-28T16:36:56,905   Collecting beniget~=0.4.0 (from pythran>=0.9.7)
2024-04-28T16:36:56,921     Using cached https://www.piwheels.org/simple/beniget/beniget-0.4.1-py3-none-any.whl (9.5 kB)
2024-04-28T16:36:59,745   Installing collected packages: ply, setuptools, numpy, gast, beniget, pythran
2024-04-28T16:37:10,664     Creating /tmp/pip-build-env-nrh1vxtt/normal/local/bin
2024-04-28T16:37:10,666     changing mode of /tmp/pip-build-env-nrh1vxtt/normal/local/bin/f2py to 755
2024-04-28T16:37:18,710     changing mode of /tmp/pip-build-env-nrh1vxtt/normal/local/bin/pythran to 755
2024-04-28T16:37:18,712     changing mode of /tmp/pip-build-env-nrh1vxtt/normal/local/bin/pythran-config to 755
2024-04-28T16:37:18,820   Successfully installed beniget-0.4.1 gast-0.5.4 numpy-1.26.4 ply-3.11 pythran-0.15.0 setuptools-69.5.1
2024-04-28T16:37:19,472   Installing backend dependencies: finished with status 'done'
2024-04-28T16:37:19,473   Created temporary directory: /tmp/pip-modern-metadata-58a5adoi
2024-04-28T16:37:19,475   Preparing metadata (pyproject.toml): started
2024-04-28T16:37:19,477   Running command Preparing metadata (pyproject.toml)
2024-04-28T16:37:20,458   Using default configuration.
2024-04-28T16:37:20,458   Copy site.cfg.default -> site.cfg or $HOME/.fluidsim-site.cfg to specify site specific libraries.
2024-04-28T16:37:20,459   Found fluidsim/_version.py
2024-04-28T16:37:20,461   <string>:123: UserWarning:
2024-04-28T16:37:20,462   ---------------------------------------------------------------------

2024-04-28T16:37:20,463   FFTW was detected, but pyfftw and fluidfft will not be auto-installed
2024-04-28T16:37:20,463   (which was the case in previous fluidsim versions). To do so, instead
2024-04-28T16:37:20,464   of:

2024-04-28T16:37:20,465       pip install fluidsim

2024-04-28T16:37:20,466   specify "extras":

2024-04-28T16:37:20,467       pip install "fluidsim[fft]"

2024-04-28T16:37:20,468   ---------------------------------------------------------------------

2024-04-28T16:37:20,647   running dist_info
2024-04-28T16:37:20,657   creating /tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info
2024-04-28T16:37:20,666   writing /tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/PKG-INFO
2024-04-28T16:37:20,688   writing dependency_links to /tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/dependency_links.txt
2024-04-28T16:37:20,691   writing entry points to /tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/entry_points.txt
2024-04-28T16:37:20,703   writing requirements to /tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/requires.txt
2024-04-28T16:37:20,704   writing top-level names to /tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/top_level.txt
2024-04-28T16:37:20,706   writing manifest file '/tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/SOURCES.txt'
2024-04-28T16:37:20,847   ERROR setuptools_scm._file_finders.git listing git files failed - pretending there aren't any
2024-04-28T16:37:20,853   reading manifest file '/tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/SOURCES.txt'
2024-04-28T16:37:20,855   reading manifest template 'MANIFEST.in'
2024-04-28T16:37:20,860   no previously-included directories found matching 'doc'
2024-04-28T16:37:20,860   no previously-included directories found matching 'lib'
2024-04-28T16:37:20,861   no previously-included directories found matching 'scripts'
2024-04-28T16:37:20,862   no previously-included directories found matching 'bench'
2024-04-28T16:37:20,863   no previously-included directories found matching 'old'
2024-04-28T16:37:20,863   no previously-included directories found matching '.github'
2024-04-28T16:37:20,864   adding license file 'LICENSE.txt'
2024-04-28T16:37:20,865   adding license file 'AUTHORS.rst'
2024-04-28T16:37:20,873   writing manifest file '/tmp/pip-modern-metadata-58a5adoi/fluidsim.egg-info/SOURCES.txt'
2024-04-28T16:37:20,874   creating '/tmp/pip-modern-metadata-58a5adoi/fluidsim-0.7.3.dist-info'
2024-04-28T16:37:20,979   Setup completed in 0.522 seconds.
2024-04-28T16:37:20,980   Setup completed in 0.522 seconds.
2024-04-28T16:37:21,144   Preparing metadata (pyproject.toml): finished with status 'done'
2024-04-28T16:37:21,149   Source in /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb has version 0.7.3, which satisfies requirement fluidsim==0.7.3 from https://files.pythonhosted.org/packages/c2/04/e971759a2571f3b41c48eeba4c6690165bf95691493ceff7b096c1a4833c/fluidsim-0.7.3.tar.gz
2024-04-28T16:37:21,150   Removed fluidsim==0.7.3 from https://files.pythonhosted.org/packages/c2/04/e971759a2571f3b41c48eeba4c6690165bf95691493ceff7b096c1a4833c/fluidsim-0.7.3.tar.gz from build tracker '/tmp/pip-build-tracker-mufobkrt'
2024-04-28T16:37:21,157 Created temporary directory: /tmp/pip-unpack-qdw9bynq
2024-04-28T16:37:21,158 Created temporary directory: /tmp/pip-unpack-u6i_f826
2024-04-28T16:37:21,331 Building wheels for collected packages: fluidsim
2024-04-28T16:37:21,335   Created temporary directory: /tmp/pip-wheel-u8zz7zts
2024-04-28T16:37:21,336   Destination directory: /tmp/pip-wheel-u8zz7zts
2024-04-28T16:37:21,338   Building wheel for fluidsim (pyproject.toml): started
2024-04-28T16:37:21,339   Running command Building wheel for fluidsim (pyproject.toml)
2024-04-28T16:37:22,537   Using default configuration.
2024-04-28T16:37:22,537   Copy site.cfg.default -> site.cfg or $HOME/.fluidsim-site.cfg to specify site specific libraries.
2024-04-28T16:37:22,537   Found fluidsim/_version.py
2024-04-28T16:37:22,540   <string>:123: UserWarning:
2024-04-28T16:37:22,540   ---------------------------------------------------------------------

2024-04-28T16:37:22,541   FFTW was detected, but pyfftw and fluidfft will not be auto-installed
2024-04-28T16:37:22,541   (which was the case in previous fluidsim versions). To do so, instead
2024-04-28T16:37:22,542   of:

2024-04-28T16:37:22,543       pip install fluidsim

2024-04-28T16:37:22,544   specify "extras":

2024-04-28T16:37:22,545       pip install "fluidsim[fft]"

2024-04-28T16:37:22,546   ---------------------------------------------------------------------

2024-04-28T16:37:22,560   Running fluidsim setup.py (['bdist_wheel', '--dist-dir', '/tmp/pip-wheel-u8zz7zts/.tmp-b2epklra']) on platform linux

2024-04-28T16:37:22,561     __ _       _     _     _
2024-04-28T16:37:22,561    / _| |     (_)   | |   (_)
2024-04-28T16:37:22,562   | |_| |_   _ _  __| |___ _ _ __ ___
2024-04-28T16:37:22,562   |  _| | | | | |/ _` / __| | '_ ` _ \
2024-04-28T16:37:22,563   | | | | |_| | | (_| \__ \ | | | | | |
2024-04-28T16:37:22,564   |_| |_|\__,_|_|\__,_|___/_|_| |_| |_|

2024-04-28T16:37:22,565                                v. 0.7.3

2024-04-28T16:37:25,527   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/time_stepping/__pythran__/pseudo_spect.py written
2024-04-28T16:37:25,529   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/time_stepping/__pythran__/pseudo_spect.pythran written
2024-04-28T16:37:25,530   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/time_stepping/__pythran__/pseudo_spect.py updated
2024-04-28T16:37:25,594   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/output/__pythran__/increments.py written
2024-04-28T16:37:25,595   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/output/__pythran__/increments.pythran written
2024-04-28T16:37:25,596   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/output/__pythran__/increments.py updated
2024-04-28T16:37:25,995   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/operators/__pythran__/operators2d.py written
2024-04-28T16:37:25,996   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/operators/__pythran__/operators2d.pythran written
2024-04-28T16:37:25,997   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/operators/__pythran__/operators2d.py updated
2024-04-28T16:37:29,431   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/operators/__pythran__/operators3d.py written
2024-04-28T16:37:29,432   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/operators/__pythran__/operators3d.pythran written
2024-04-28T16:37:29,432   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/operators/__pythran__/operators3d.py updated
2024-04-28T16:37:29,479   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns2d/__pythran__/solver.py written
2024-04-28T16:37:29,480   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns2d/__pythran__/solver.pythran written
2024-04-28T16:37:29,481   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns2d/__pythran__/solver.py updated
2024-04-28T16:37:29,524   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/strat/__pythran__/solver.py written
2024-04-28T16:37:29,526   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/strat/__pythran__/solver.pythran written
2024-04-28T16:37:29,526   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/strat/__pythran__/solver.py updated
2024-04-28T16:37:29,571   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/forcing/__pythran__/watu.py written
2024-04-28T16:37:29,573   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/forcing/__pythran__/watu.pythran written
2024-04-28T16:37:29,573   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/forcing/__pythran__/watu.py updated
2024-04-28T16:37:29,717   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/util/__pythran__/mini_oper_modif_resol.py written
2024-04-28T16:37:29,718   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/util/__pythran__/mini_oper_modif_resol.pythran written
2024-04-28T16:37:29,719   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/util/__pythran__/mini_oper_modif_resol.py updated
2024-04-28T16:37:29,895   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/output/__pythran__/spatiotemporal_spectra.py written
2024-04-28T16:37:29,897   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/output/__pythran__/spatiotemporal_spectra.pythran written
2024-04-28T16:37:29,897   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/base/output/__pythran__/spatiotemporal_spectra.py updated
2024-04-28T16:37:30,106   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.py written
2024-04-28T16:37:30,107   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.pythran written
2024-04-28T16:37:30,108   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.py updated
2024-04-28T16:37:30,303   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.py written
2024-04-28T16:37:30,305   /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.pythran written
2024-04-28T16:37:30,305   File /tmp/pip-wheel-fqsrp8da/fluidsim_453d02dfdcd24a4d8835dc137c52d4cb/fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.py updated
2024-04-28T16:37:30,306   11 files created or updated need to be pythranized
2024-04-28T16:37:30,998   The following extensions could be built if necessary:
2024-04-28T16:37:30,999   fluidsim.base.time_stepping.__pythran__.pseudo_spect
2024-04-28T16:37:31,000   fluidsim.base.output.__pythran__.increments
2024-04-28T16:37:31,000   fluidsim.base.output.__pythran__.spatiotemporal_spectra
2024-04-28T16:37:31,001   fluidsim.solvers.ns3d.forcing.__pythran__.watu
2024-04-28T16:37:31,001   fluidsim.solvers.ns3d.strat.__pythran__.solver
2024-04-28T16:37:31,002   fluidsim.solvers.ns3d.output.__pythran__.spatiotemporal_spectra
2024-04-28T16:37:31,003   fluidsim.solvers.ns2d.__pythran__.solver
2024-04-28T16:37:31,003   fluidsim.solvers.ns2d.output.__pythran__.spatiotemporal_spectra
2024-04-28T16:37:31,004   fluidsim.util.__pythran__.mini_oper_modif_resol
2024-04-28T16:37:31,004   fluidsim.operators.__pythran__.operators3d
2024-04-28T16:37:31,005   fluidsim.operators.__pythran__.operators2d

2024-04-28T16:37:31,176   running bdist_wheel
2024-04-28T16:37:31,219   running build
2024-04-28T16:37:31,219   running build_py
2024-04-28T16:37:31,234   creating build
2024-04-28T16:37:31,235   creating build/lib.linux-armv7l-cpython-311
2024-04-28T16:37:31,236   creating build/lib.linux-armv7l-cpython-311/fluidsim
2024-04-28T16:37:31,237   copying fluidsim/magic.py -> build/lib.linux-armv7l-cpython-311/fluidsim
2024-04-28T16:37:31,239   copying fluidsim/_version.py -> build/lib.linux-armv7l-cpython-311/fluidsim
2024-04-28T16:37:31,241   copying fluidsim/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim
2024-04-28T16:37:31,244   creating build/lib.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:31,245   copying fluidsim/base/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:31,248   copying fluidsim/base/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:31,250   copying fluidsim/base/params.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:31,253   copying fluidsim/base/setofvariables.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:31,255   copying fluidsim/base/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:31,257   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers
2024-04-28T16:37:31,258   copying fluidsim/solvers/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers
2024-04-28T16:37:31,261   creating build/lib.linux-armv7l-cpython-311/fluidsim/extend_simul
2024-04-28T16:37:31,262   copying fluidsim/extend_simul/spatial_means_regions_milestone.py -> build/lib.linux-armv7l-cpython-311/fluidsim/extend_simul
2024-04-28T16:37:31,265   copying fluidsim/extend_simul/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/extend_simul
2024-04-28T16:37:31,268   creating build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,269   copying fluidsim/util/testing.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,271   copying fluidsim/util/test_util.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,273   copying fluidsim/util/util.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,276   copying fluidsim/util/mini_oper_modif_resol.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,278   copying fluidsim/util/frequency_modulation.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,280   copying fluidsim/util/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,282   copying fluidsim/util/output.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util
2024-04-28T16:37:31,285   creating build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,286   copying fluidsim/operators/op_finitediff1d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,289   copying fluidsim/operators/operators3d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,292   copying fluidsim/operators/sphericalharmo.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,295   copying fluidsim/operators/operators0d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,297   copying fluidsim/operators/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,299   copying fluidsim/operators/operators2d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,301   copying fluidsim/operators/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,303   copying fluidsim/operators/operators1d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,304   copying fluidsim/operators/op_finitediff2d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators
2024-04-28T16:37:31,307   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess
2024-04-28T16:37:31,308   copying fluidsim/base/preprocess/test.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess
2024-04-28T16:37:31,309   copying fluidsim/base/preprocess/pseudo_spect.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess
2024-04-28T16:37:31,311   copying fluidsim/base/preprocess/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess
2024-04-28T16:37:31,313   copying fluidsim/base/preprocess/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess
2024-04-28T16:37:31,315   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/test
2024-04-28T16:37:31,316   copying fluidsim/base/test/test_base_solver_ps.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/test
2024-04-28T16:37:31,317   copying fluidsim/base/test/test_base_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/test
2024-04-28T16:37:31,319   copying fluidsim/base/test/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/test
2024-04-28T16:37:31,320   copying fluidsim/base/test/test_params.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/test
2024-04-28T16:37:31,322   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:31,323   copying fluidsim/base/time_stepping/finite_diff.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:31,326   copying fluidsim/base/time_stepping/pseudo_spect.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:31,329   copying fluidsim/base/time_stepping/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:31,331   copying fluidsim/base/time_stepping/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:31,333   copying fluidsim/base/time_stepping/simple.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:31,335   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo
2024-04-28T16:37:31,337   copying fluidsim/base/sphericalharmo/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo
2024-04-28T16:37:31,338   copying fluidsim/base/sphericalharmo/phys_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo
2024-04-28T16:37:31,340   copying fluidsim/base/sphericalharmo/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo
2024-04-28T16:37:31,341   copying fluidsim/base/sphericalharmo/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo
2024-04-28T16:37:31,343   copying fluidsim/base/sphericalharmo/output.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo
2024-04-28T16:37:31,345   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,346   copying fluidsim/base/forcing/test_kolmogorov.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,348   copying fluidsim/base/forcing/anisotropic.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,350   copying fluidsim/base/forcing/kolmogorov.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,352   copying fluidsim/base/forcing/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,354   copying fluidsim/base/forcing/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,356   copying fluidsim/base/forcing/specific.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,359   copying fluidsim/base/forcing/milestone.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing
2024-04-28T16:37:31,362   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers
2024-04-28T16:37:31,363   copying fluidsim/base/solvers/finite_diff.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers
2024-04-28T16:37:31,364   copying fluidsim/base/solvers/info_base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers
2024-04-28T16:37:31,366   copying fluidsim/base/solvers/pseudo_spect.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers
2024-04-28T16:37:31,368   copying fluidsim/base/solvers/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers
2024-04-28T16:37:31,370   copying fluidsim/base/solvers/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers
2024-04-28T16:37:31,372   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model
2024-04-28T16:37:31,373   copying fluidsim/base/turb_model/test_turb_model.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model
2024-04-28T16:37:31,374   copying fluidsim/base/turb_model/smagorinsky.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model
2024-04-28T16:37:31,376   copying fluidsim/base/turb_model/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model
2024-04-28T16:37:31,378   copying fluidsim/base/turb_model/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model
2024-04-28T16:37:31,379   copying fluidsim/base/turb_model/stress_tensor.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model
2024-04-28T16:37:31,381   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,382   copying fluidsim/base/output/phys_fields1d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,384   copying fluidsim/base/output/prob_dens_func.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,386   copying fluidsim/base/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,388   copying fluidsim/base/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,390   copying fluidsim/base/output/phys_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,392   copying fluidsim/base/output/spectra3d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,394   copying fluidsim/base/output/time_signals_fft.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,397   copying fluidsim/base/output/temporal_spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,399   copying fluidsim/base/output/increments.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,402   copying fluidsim/base/output/base.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,404   copying fluidsim/base/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,406   copying fluidsim/base/output/phys_fields2d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,408   copying fluidsim/base/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,410   copying fluidsim/base/output/spatiotemporal_spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,413   copying fluidsim/base/output/spect_energy_budget.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,415   copying fluidsim/base/output/horiz_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,417   copying fluidsim/base/output/spectra_multidim.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,419   copying fluidsim/base/output/phys_fields3d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,422   copying fluidsim/base/output/cross_corr3d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T16:37:31,424   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d
2024-04-28T16:37:31,425   copying fluidsim/solvers/nl1d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d
2024-04-28T16:37:31,426   copying fluidsim/solvers/nl1d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d
2024-04-28T16:37:31,428   copying fluidsim/solvers/nl1d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d
2024-04-28T16:37:31,430   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d
2024-04-28T16:37:31,431   copying fluidsim/solvers/burgers1d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d
2024-04-28T16:37:31,433   copying fluidsim/solvers/burgers1d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d
2024-04-28T16:37:31,434   copying fluidsim/solvers/burgers1d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d
2024-04-28T16:37:31,436   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,437   copying fluidsim/solvers/plate2d/operators.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,439   copying fluidsim/solvers/plate2d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,441   copying fluidsim/solvers/plate2d/test_dimensional.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,442   copying fluidsim/solvers/plate2d/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,444   copying fluidsim/solvers/plate2d/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,446   copying fluidsim/solvers/plate2d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,448   copying fluidsim/solvers/plate2d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,450   copying fluidsim/solvers/plate2d/forcing.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,451   copying fluidsim/solvers/plate2d/dimensional.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d
2024-04-28T16:37:31,454   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,455   copying fluidsim/solvers/ns3d/try_save.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,456   copying fluidsim/solvers/ns3d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,458   copying fluidsim/solvers/ns3d/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,460   copying fluidsim/solvers/ns3d/try_load.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,462   copying fluidsim/solvers/ns3d/time_stepping.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,463   copying fluidsim/solvers/ns3d/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,465   copying fluidsim/solvers/ns3d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,467   copying fluidsim/solvers/ns3d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-28T16:37:31,470   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d
2024-04-28T16:37:31,471   copying fluidsim/solvers/waves2d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d
2024-04-28T16:37:31,473   copying fluidsim/solvers/waves2d/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d
2024-04-28T16:37:31,475   copying fluidsim/solvers/waves2d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d
2024-04-28T16:37:31,476   copying fluidsim/solvers/waves2d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d
2024-04-28T16:37:31,478   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d
2024-04-28T16:37:31,479   copying fluidsim/solvers/ad1d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d
2024-04-28T16:37:31,481   copying fluidsim/solvers/ad1d/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d
2024-04-28T16:37:31,483   copying fluidsim/solvers/ad1d/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d
2024-04-28T16:37:31,484   copying fluidsim/solvers/ad1d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d
2024-04-28T16:37:31,486   copying fluidsim/solvers/ad1d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d
2024-04-28T16:37:31,487   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere
2024-04-28T16:37:31,488   copying fluidsim/solvers/sphere/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere
2024-04-28T16:37:31,491   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d
2024-04-28T16:37:31,491   copying fluidsim/solvers/models0d/test_predaprey.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d
2024-04-28T16:37:31,493   copying fluidsim/solvers/models0d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d
2024-04-28T16:37:31,494   copying fluidsim/solvers/models0d/test_lorenz.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d
2024-04-28T16:37:31,496   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,497   copying fluidsim/solvers/ns2d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,499   copying fluidsim/solvers/ns2d/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,501   copying fluidsim/solvers/ns2d/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,503   copying fluidsim/solvers/ns2d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,505   copying fluidsim/solvers/ns2d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,507   copying fluidsim/solvers/ns2d/forcing.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,508   copying fluidsim/solvers/ns2d/with_uxuy.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,510   copying fluidsim/solvers/ns2d/test_with_uxuy.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-28T16:37:31,512   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,513   copying fluidsim/solvers/sw1l/operators.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,515   copying fluidsim/solvers/sw1l/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,517   copying fluidsim/solvers/sw1l/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,519   copying fluidsim/solvers/sw1l/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,521   copying fluidsim/solvers/sw1l/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,523   copying fluidsim/solvers/sw1l/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,525   copying fluidsim/solvers/sw1l/forcing.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,527   copying fluidsim/solvers/sw1l/test_operators.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l
2024-04-28T16:37:31,529   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym
2024-04-28T16:37:31,530   copying fluidsim/solvers/burgers1d/skew_sym/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym
2024-04-28T16:37:31,532   copying fluidsim/solvers/burgers1d/skew_sym/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym
2024-04-28T16:37:31,533   copying fluidsim/solvers/burgers1d/skew_sym/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym
2024-04-28T16:37:31,536   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output
2024-04-28T16:37:31,536   copying fluidsim/solvers/plate2d/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output
2024-04-28T16:37:31,538   copying fluidsim/solvers/plate2d/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output
2024-04-28T16:37:31,540   copying fluidsim/solvers/plate2d/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output
2024-04-28T16:37:31,542   copying fluidsim/solvers/plate2d/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output
2024-04-28T16:37:31,543   copying fluidsim/solvers/plate2d/output/correlations_freq.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output
2024-04-28T16:37:31,546   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss
2024-04-28T16:37:31,547   copying fluidsim/solvers/ns3d/bouss/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss
2024-04-28T16:37:31,549   copying fluidsim/solvers/ns3d/bouss/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss
2024-04-28T16:37:31,551   copying fluidsim/solvers/ns3d/bouss/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss
2024-04-28T16:37:31,553   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing
2024-04-28T16:37:31,553   copying fluidsim/solvers/ns3d/forcing/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing
2024-04-28T16:37:31,555   copying fluidsim/solvers/ns3d/forcing/milestone.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing
2024-04-28T16:37:31,557   copying fluidsim/solvers/ns3d/forcing/watu.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing
2024-04-28T16:37:31,560   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat
2024-04-28T16:37:31,561   copying fluidsim/solvers/ns3d/strat/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat
2024-04-28T16:37:31,563   copying fluidsim/solvers/ns3d/strat/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat
2024-04-28T16:37:31,564   copying fluidsim/solvers/ns3d/strat/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat
2024-04-28T16:37:31,566   copying fluidsim/solvers/ns3d/strat/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat
2024-04-28T16:37:31,568   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,569   copying fluidsim/solvers/ns3d/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,572   copying fluidsim/solvers/ns3d/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,574   copying fluidsim/solvers/ns3d/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,575   copying fluidsim/solvers/ns3d/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,577   copying fluidsim/solvers/ns3d/output/spatiotemporal_spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,579   copying fluidsim/solvers/ns3d/output/spect_energy_budget.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-28T16:37:31,582   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output
2024-04-28T16:37:31,583   copying fluidsim/solvers/ns3d/strat/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output
2024-04-28T16:37:31,585   copying fluidsim/solvers/ns3d/strat/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output
2024-04-28T16:37:31,587   copying fluidsim/solvers/ns3d/strat/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output
2024-04-28T16:37:31,589   copying fluidsim/solvers/ns3d/strat/output/spect_energy_budget.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output
2024-04-28T16:37:31,591   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect
2024-04-28T16:37:31,592   copying fluidsim/solvers/ad1d/pseudo_spect/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect
2024-04-28T16:37:31,594   copying fluidsim/solvers/ad1d/pseudo_spect/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect
2024-04-28T16:37:31,595   copying fluidsim/solvers/ad1d/pseudo_spect/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect
2024-04-28T16:37:31,596   copying fluidsim/solvers/ad1d/pseudo_spect/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect
2024-04-28T16:37:31,598   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/output
2024-04-28T16:37:31,599   copying fluidsim/solvers/ad1d/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/output
2024-04-28T16:37:31,601   copying fluidsim/solvers/ad1d/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/output
2024-04-28T16:37:31,603   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d
2024-04-28T16:37:31,604   copying fluidsim/solvers/sphere/ns2d/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d
2024-04-28T16:37:31,606   copying fluidsim/solvers/sphere/ns2d/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d
2024-04-28T16:37:31,608   copying fluidsim/solvers/sphere/ns2d/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d
2024-04-28T16:37:31,611   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l
2024-04-28T16:37:31,611   copying fluidsim/solvers/sphere/sw1l/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l
2024-04-28T16:37:31,614   copying fluidsim/solvers/sphere/sw1l/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l
2024-04-28T16:37:31,616   copying fluidsim/solvers/sphere/sw1l/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l
2024-04-28T16:37:31,617   copying fluidsim/solvers/sphere/sw1l/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l
2024-04-28T16:37:31,619   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey
2024-04-28T16:37:31,620   copying fluidsim/solvers/models0d/predaprey/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey
2024-04-28T16:37:31,622   copying fluidsim/solvers/models0d/predaprey/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey
2024-04-28T16:37:31,624   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz
2024-04-28T16:37:31,624   copying fluidsim/solvers/models0d/lorenz/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz
2024-04-28T16:37:31,627   copying fluidsim/solvers/models0d/lorenz/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz
2024-04-28T16:37:31,629   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/output
2024-04-28T16:37:31,630   copying fluidsim/solvers/models0d/predaprey/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/output
2024-04-28T16:37:31,632   copying fluidsim/solvers/models0d/predaprey/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/output
2024-04-28T16:37:31,634   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/output
2024-04-28T16:37:31,635   copying fluidsim/solvers/models0d/lorenz/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/output
2024-04-28T16:37:31,637   copying fluidsim/solvers/models0d/lorenz/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/output
2024-04-28T16:37:31,639   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss
2024-04-28T16:37:31,640   copying fluidsim/solvers/ns2d/bouss/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss
2024-04-28T16:37:31,642   copying fluidsim/solvers/ns2d/bouss/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss
2024-04-28T16:37:31,644   copying fluidsim/solvers/ns2d/bouss/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss
2024-04-28T16:37:31,646   copying fluidsim/solvers/ns2d/bouss/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss
2024-04-28T16:37:31,648   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,649   copying fluidsim/solvers/ns2d/strat/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,651   copying fluidsim/solvers/ns2d/strat/init_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,653   copying fluidsim/solvers/ns2d/strat/time_stepping.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,655   copying fluidsim/solvers/ns2d/strat/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,657   copying fluidsim/solvers/ns2d/strat/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,659   copying fluidsim/solvers/ns2d/strat/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,661   copying fluidsim/solvers/ns2d/strat/forcing.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat
2024-04-28T16:37:31,663   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,664   copying fluidsim/solvers/ns2d/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,666   copying fluidsim/solvers/ns2d/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,668   copying fluidsim/solvers/ns2d/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,670   copying fluidsim/solvers/ns2d/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,671   copying fluidsim/solvers/ns2d/output/spatiotemporal_spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,673   copying fluidsim/solvers/ns2d/output/spect_energy_budget.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,674   copying fluidsim/solvers/ns2d/output/spectra_multidim.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-28T16:37:31,677   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,678   copying fluidsim/solvers/ns2d/strat/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,680   copying fluidsim/solvers/ns2d/strat/output/_old_miguel_spatio_temporal_spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,683   copying fluidsim/solvers/ns2d/strat/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,685   copying fluidsim/solvers/ns2d/strat/output/phys_fields.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,686   copying fluidsim/solvers/ns2d/strat/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,689   copying fluidsim/solvers/ns2d/strat/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,691   copying fluidsim/solvers/ns2d/strat/output/spect_energy_budget.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,693   copying fluidsim/solvers/ns2d/strat/output/_old_miguel_frequency_spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,695   copying fluidsim/solvers/ns2d/strat/output/spectra_multidim.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output
2024-04-28T16:37:31,698   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves
2024-04-28T16:37:31,699   copying fluidsim/solvers/sw1l/onlywaves/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves
2024-04-28T16:37:31,702   copying fluidsim/solvers/sw1l/onlywaves/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves
2024-04-28T16:37:31,704   copying fluidsim/solvers/sw1l/onlywaves/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves
2024-04-28T16:37:31,706   copying fluidsim/solvers/sw1l/onlywaves/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves
2024-04-28T16:37:31,708   copying fluidsim/solvers/sw1l/onlywaves/output.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves
2024-04-28T16:37:31,711   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified
2024-04-28T16:37:31,712   copying fluidsim/solvers/sw1l/modified/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified
2024-04-28T16:37:31,714   copying fluidsim/solvers/sw1l/modified/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified
2024-04-28T16:37:31,716   copying fluidsim/solvers/sw1l/modified/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified
2024-04-28T16:37:31,718   copying fluidsim/solvers/sw1l/modified/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified
2024-04-28T16:37:31,719   copying fluidsim/solvers/sw1l/modified/output.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified
2024-04-28T16:37:31,721   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin
2024-04-28T16:37:31,722   copying fluidsim/solvers/sw1l/exactlin/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin
2024-04-28T16:37:31,724   copying fluidsim/solvers/sw1l/exactlin/state.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin
2024-04-28T16:37:31,726   copying fluidsim/solvers/sw1l/exactlin/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin
2024-04-28T16:37:31,727   copying fluidsim/solvers/sw1l/exactlin/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin
2024-04-28T16:37:31,729   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,730   copying fluidsim/solvers/sw1l/output/spectra.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,733   copying fluidsim/solvers/sw1l/output/spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,735   copying fluidsim/solvers/sw1l/output/_old_spect_energy_budg.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,738   copying fluidsim/solvers/sw1l/output/increments.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,740   copying fluidsim/solvers/sw1l/output/print_stdout.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,742   copying fluidsim/solvers/sw1l/output/normal_mode.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,744   copying fluidsim/solvers/sw1l/output/_old_spatial_means.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,746   copying fluidsim/solvers/sw1l/output/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,749   copying fluidsim/solvers/sw1l/output/spect_energy_budget.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output
2024-04-28T16:37:31,752   creating build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified
2024-04-28T16:37:31,753   copying fluidsim/solvers/sw1l/exactlin/modified/solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified
2024-04-28T16:37:31,755   copying fluidsim/solvers/sw1l/exactlin/modified/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified
2024-04-28T16:37:31,756   copying fluidsim/solvers/sw1l/exactlin/modified/test_solver.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified
2024-04-28T16:37:31,758   copying fluidsim/solvers/sw1l/exactlin/modified/output.py -> build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified
2024-04-28T16:37:31,760   creating build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,761   copying fluidsim/util/scripts/test_turb_trandom_anisotropic.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,762   copying fluidsim/util/scripts/restart.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,764   copying fluidsim/util/scripts/turb_trandom_anisotropic.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,766   copying fluidsim/util/scripts/modif_resolution.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,768   copying fluidsim/util/scripts/test_restart.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,769   copying fluidsim/util/scripts/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,771   copying fluidsim/util/scripts/test_ipy_load.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,772   copying fluidsim/util/scripts/test_modif_resolution.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,774   copying fluidsim/util/scripts/ipy_load.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts
2024-04-28T16:37:31,776   creating build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,776   copying fluidsim/util/console/bench.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,779   copying fluidsim/util/console/bench_analysis.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,781   copying fluidsim/util/console/util.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,783   copying fluidsim/util/console/test_bench.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,785   copying fluidsim/util/console/__main__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,786   copying fluidsim/util/console/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,788   copying fluidsim/util/console/profile.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,790   copying fluidsim/util/console/test_profile.py -> build/lib.linux-armv7l-cpython-311/fluidsim/util/console
2024-04-28T16:37:31,792   creating build/lib.linux-armv7l-cpython-311/fluidsim/operators/test
2024-04-28T16:37:31,793   copying fluidsim/operators/test/test_operators2d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators/test
2024-04-28T16:37:31,796   copying fluidsim/operators/test/__init__.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators/test
2024-04-28T16:37:31,797   copying fluidsim/operators/test/test_operators3d.py -> build/lib.linux-armv7l-cpython-311/fluidsim/operators/test
2024-04-28T16:37:31,840   running build_ext
2024-04-28T16:37:31,875   num_jobs limited by memory, fixed at 1
2024-04-28T16:37:31,876   num_jobs limited by memory, fixed at 1
2024-04-28T16:37:31,878   _build_extensions_parallel with num_jobs = 1
2024-04-28T16:37:31,878   _build_extensions_parallel with num_jobs = 1
2024-04-28T16:37:31,879   Building extensions of type <class 'pythran.dist.PythranExtension'>: ['fluidsim.base.time_stepping.__pythran__.pseudo_spect', 'fluidsim.base.output.__pythran__.increments', 'fluidsim.base.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns3d.forcing.__pythran__.watu', 'fluidsim.solvers.ns3d.strat.__pythran__.solver', 'fluidsim.solvers.ns3d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns2d.__pythran__.solver', 'fluidsim.solvers.ns2d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.util.__pythran__.mini_oper_modif_resol', 'fluidsim.operators.__pythran__.operators3d', 'fluidsim.operators.__pythran__.operators2d']
2024-04-28T16:37:31,879   Building extensions of type <class 'pythran.dist.PythranExtension'>: ['fluidsim.base.time_stepping.__pythran__.pseudo_spect', 'fluidsim.base.output.__pythran__.increments', 'fluidsim.base.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns3d.forcing.__pythran__.watu', 'fluidsim.solvers.ns3d.strat.__pythran__.solver', 'fluidsim.solvers.ns3d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns2d.__pythran__.solver', 'fluidsim.solvers.ns2d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.util.__pythran__.mini_oper_modif_resol', 'fluidsim.operators.__pythran__.operators3d', 'fluidsim.operators.__pythran__.operators2d']
2024-04-28T16:37:32,370   INFO: Pythran support for package 'scipy' will be reduced: this module is not available at runtime.
2024-04-28T16:37:32,371   Pythran support for package 'scipy' will be reduced: this module is not available at runtime.
2024-04-28T16:37:32,372   INFO: Pythran support for package 'scipy.special' will be reduced: this module is not available at runtime.
2024-04-28T16:37:32,373   Pythran support for package 'scipy.special' will be reduced: this module is not available at runtime.
2024-04-28T16:37:34,266   INFO: Generated C++ source file: fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp
2024-04-28T16:37:34,274   Generated C++ source file: fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp
2024-04-28T16:37:34,275   building 'fluidsim.base.time_stepping.__pythran__.pseudo_spect' extension
2024-04-28T16:37:34,286   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-28T16:37:34,287   creating build/temp.linux-armv7l-cpython-311
2024-04-28T16:37:34,288   creating build/temp.linux-armv7l-cpython-311/fluidsim
2024-04-28T16:37:34,288   creating build/temp.linux-armv7l-cpython-311/fluidsim/base
2024-04-28T16:37:34,289   creating build/temp.linux-armv7l-cpython-311/fluidsim/base/time_stepping
2024-04-28T16:37:34,290   creating build/temp.linux-armv7l-cpython-311/fluidsim/base/time_stepping/__pythran__
2024-04-28T16:37:34,290   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-28T16:37:34,291   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-28T16:37:34,292   INFO: arm-linux-gnueabihf-gcc: fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp
2024-04-28T16:38:02,280   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-28T16:38:02,281                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-28T16:38:02,281                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-28T16:38:02,282                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-28T16:38:02,283                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-28T16:38:02,284                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-28T16:38:02,284                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-28T16:38:02,285                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-28T16:38:02,286                    from fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1:
2024-04-28T16:38:02,286   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:02,287   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = double; dtype = double]’
2024-04-28T16:38:02,287   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = double; T = double; B = double]’
2024-04-28T16:38:02,288   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = double; E1 = ndarray<double, pshape<long int> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int> >&>; typename adapt_type<E0, E1>::type = broadcast<double, double>; typename adapt_type<E1, E0>::type = ndarray<double, pshape<long int> >&; typename std::decay<_Tp>::type = double; typename std::decay<_Tp2>::type = std::decay<ndarray<double, pshape<long int> >&>::type]’
2024-04-28T16:38:02,289   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = double; B = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&>]’
2024-04-28T16:38:02,289   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:371:188:   required from ‘typename {anonymous}::__pythran_pseudo_spect::rk4_step2::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5, argument_type6>::result_type {anonymous}::__pythran_pseudo_spect::rk4_step2::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5, argument_type6) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type6 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5, argument_type6>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:02,290   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:523:79:   required from here
2024-04-28T16:38:02,291   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-28T16:38:02,291     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-28T16:38:02,292         |                                                                     ^
2024-04-28T16:38:02,293   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-28T16:38:02,293                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-28T16:38:02,294                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-28T16:38:02,295                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-28T16:38:02,295                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-28T16:38:02,296                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-28T16:38:02,297                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-28T16:38:02,297                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-28T16:38:02,298                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-28T16:38:02,298                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-28T16:38:02,299   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-28T16:38:02,300      27 |         struct simd_register
2024-04-28T16:38:02,301         |                ^~~~~~~~~~~~~
2024-04-28T16:38:02,301   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-28T16:38:02,302   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-28T16:38:02,303   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-28T16:38:02,303   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-28T16:38:02,304   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-28T16:38:10,351   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-28T16:38:10,352                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-28T16:38:10,353   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-28T16:38:10,353   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T16:38:10,354   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; typename E::dtype = double]’
2024-04-28T16:38:10,355   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:10,356   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:10,356   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; unsigned int D = 0]’
2024-04-28T16:38:10,357   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:10,358   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:10,359   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:10,360   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:10,361   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:10,361   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:10,362   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:10,363     626 |             store_aligned<A>(dst, src, A {});
2024-04-28T16:38:10,364         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-28T16:38:10,365   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,365     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,366         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,367   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,368   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,369     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-28T16:38:10,369         |                                                                             ^
2024-04-28T16:38:10,370   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,371     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,372         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,373   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,373   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,374     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-28T16:38:10,375         |                                                                           ^
2024-04-28T16:38:10,375   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,376     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,377         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,378   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,378   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,379     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-28T16:38:10,380         |                                                                             ^
2024-04-28T16:38:10,380   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,381     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,381         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,382   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,383   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,384     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-28T16:38:10,384         |                                                                           ^
2024-04-28T16:38:10,385   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,386     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,387         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,387   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,388   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,389     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-28T16:38:10,389         |                                                                             ^
2024-04-28T16:38:10,390   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,391     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,392         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,393   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,393   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,394     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-28T16:38:10,394         |                                                                           ^
2024-04-28T16:38:10,395   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,395     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,396         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,396   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,397   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,398     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-28T16:38:10,399         |                                                                             ^
2024-04-28T16:38:10,400   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:10,400     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,401         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,402   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-28T16:38:10,403   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:10,404     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-28T16:38:10,404         |                                                                           ^
2024-04-28T16:38:10,405   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-28T16:38:10,406     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,406         |                     ^~~~~~~~~~~~~
2024-04-28T16:38:10,407   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-28T16:38:10,408     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-28T16:38:10,409         |                                   ~~~~~~~^~~
2024-04-28T16:38:10,410   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-28T16:38:10,410   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-28T16:38:10,411    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-28T16:38:10,411         |                 ^~~~~~~~~~~~~
2024-04-28T16:38:10,412   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-28T16:38:17,709   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:494:
2024-04-28T16:38:17,709   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp: In instantiation of ‘struct xsimd::detail::static_check_supported_config_emitter<double, xsimd::neon>’:
2024-04-28T16:38:17,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:76:16:   required from ‘struct xsimd::detail::static_check_supported_config_emitter<std::complex<double>, xsimd::neon>’
2024-04-28T16:38:17,711   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:91:19:   required from ‘void xsimd::detail::static_check_supported_config() [with T = std::complex<double>; A = xsimd::neon]’
2024-04-28T16:38:17,711   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1369:55:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-28T16:38:17,712   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-28T16:38:17,714   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T16:38:17,715   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:17,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:17,720   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:17,722   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:17,722   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:17,723   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:17,724   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:17,725   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: error: static assertion failed: usage of batch type with unsupported type
2024-04-28T16:38:17,726      71 |             static_assert(!A::supported() || xsimd::has_simd_register<T, A>::value,
2024-04-28T16:38:17,727         |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:17,728   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: note: ‘((! xsimd::neon::supported()) || ((bool)std::integral_constant<bool, false>::value))’ evaluates to false
2024-04-28T16:38:17,734   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19,
2024-04-28T16:38:17,735                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-28T16:38:17,736   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_high(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:17,736   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:620:49:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:17,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-28T16:38:17,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; typename E::dtype = std::complex<double>]’
2024-04-28T16:38:17,738   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:17,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:17,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:17,740   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:17,741   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:17,741   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:17,742   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:17,743   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:17,743   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: error: static assertion failed: complex_high not implemented for the required architecture
2024-04-28T16:38:17,744     572 |                 static_assert(std::is_same<T, void>::value, "complex_high not implemented for the required architecture");
2024-04-28T16:38:17,745         |                                                      ^~~~~
2024-04-28T16:38:17,745   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-28T16:38:17,746   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:573:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-28T16:38:17,747     573 |             }
2024-04-28T16:38:17,747         |             ^
2024-04-28T16:38:17,748   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_low(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:17,748   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:621:48:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:17,749   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-28T16:38:17,750   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; typename E::dtype = std::complex<double>]’
2024-04-28T16:38:17,751   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:17,751   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:17,752   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:17,753   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:17,754   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:17,754   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:17,755   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:17,756   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:17,756   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: error: static assertion failed: complex_low not implemented for the required architecture
2024-04-28T16:38:17,757     578 |                 static_assert(std::is_same<T, void>::value, "complex_low not implemented for the required architecture");
2024-04-28T16:38:17,759         |                                                      ^~~~~
2024-04-28T16:38:17,760   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-28T16:38:17,761   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:579:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-28T16:38:17,762     579 |             }
2024-04-28T16:38:17,762         |             ^
2024-04-28T16:38:22,147   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:22,148   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:22,149   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-28T16:38:22,149   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-28T16:38:22,150   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:22,151   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T16:38:22,151   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:22,152   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:22,153   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:22,154   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:22,154   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:22,155   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:22,156   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:22,157   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-28T16:38:22,157     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-28T16:38:22,158         |                                                           ^~~~~
2024-04-28T16:38:22,159   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-28T16:38:22,267   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::detail::load_complex(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:22,268   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:600:40:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::load_complex_unaligned(const std::complex<T>*, convert<std::complex<_Up> >, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:22,268   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1300:49:   required from ‘xsimd::simd_return_type<std::complex<T>, To, A> xsimd::load_as(const std::complex<T>*, unaligned_mode) [with To = std::complex<double>; A = neon; From = double; simd_return_type<std::complex<T>, To, A> = batch<std::complex<double>, neon>]’
2024-04-28T16:38:22,269   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-28T16:38:22,270   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-28T16:38:22,270   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T16:38:22,271   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:22,272   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:22,272   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:22,273   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:22,274   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:22,275   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:22,275   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:22,276   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: error: static assertion failed: load_complex not implemented for the required architecture
2024-04-28T16:38:22,277     566 |                 static_assert(std::is_same<T, void>::value, "load_complex not implemented for the required architecture");
2024-04-28T16:38:22,278         |                                                      ^~~~~
2024-04-28T16:38:22,278   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-28T16:38:22,279   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:567:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-28T16:38:22,280     567 |             }
2024-04-28T16:38:22,281         |             ^
2024-04-28T16:38:23,223   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::select(const batch_bool<T, A>&, const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’:
2024-04-28T16:38:23,223   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:27:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:23,224   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:23,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:23,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::exp::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:23,226   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; Op = {anonymous}::pythonic::numpy::functor::exp; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&>, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-28T16:38:23,227   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:23,228   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:23,229   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:23,229   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:23,230   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:23,231   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:23,232   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:23,233   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1965:33: error: no matching function for call to ‘select<xsimd::neon>(const xsimd::batch_bool<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:23,234    1965 |         return kernel::select<A>(cond, true_br, false_br, A {});
2024-04-28T16:38:23,234         |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:23,235   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1691:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::select(const xsimd::batch_bool<T, A>&, const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:23,235    1691 |         inline batch<T, A> select(batch_bool<T, A> const& cond, batch<T, A> const& a, batch<T, A> const& b, requires_arch<neon>) noexcept
2024-04-28T16:38:23,236         |                            ^~~~~~
2024-04-28T16:38:23,237   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1691:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:23,238   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1690:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:23,238    1690 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T16:38:23,239         |                                                                     ^
2024-04-28T16:38:23,240   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1704:28: note: candidate: ‘template<class A, class T, bool ...b, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::select(const xsimd::batch_bool_constant<xsimd::batch<T, A>, b ...>&, const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:23,241    1704 |         inline batch<T, A> select(batch_bool_constant<batch<T, A>, b...> const&, batch<T, A> const& true_br, batch<T, A> const& false_br, requires_arch<neon>) noexcept
2024-04-28T16:38:23,241         |                            ^~~~~~
2024-04-28T16:38:23,242   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1704:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:23,243   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1965:33: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool_constant<xsimd::batch<V, xsimd::neon>, b ...>’
2024-04-28T16:38:23,243    1965 |         return kernel::select<A>(cond, true_br, false_br, A {});
2024-04-28T16:38:23,244         |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:23,245   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:18:
2024-04-28T16:38:23,246   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:2054:42: note: candidate: ‘template<class A, class T> xsimd::batch<std::complex<_Up>, A> xsimd::kernel::select(const xsimd::batch_bool<T, A>&, const xsimd::batch<std::complex<_Up>, A>&, const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>)’
2024-04-28T16:38:23,246    2054 |         inline batch<std::complex<T>, A> select(batch_bool<T, A> const& cond, batch<std::complex<T>, A> const& true_br, batch<std::complex<T>, A> const& false_br, requires_arch<generic>) noexcept
2024-04-28T16:38:23,247         |                                          ^~~~~~
2024-04-28T16:38:23,248   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:2054:42: note:   template argument deduction/substitution failed:
2024-04-28T16:38:23,249   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1965:33: note:   mismatched types ‘std::complex<_Up>’ and ‘double’
2024-04-28T16:38:23,249    1965 |         return kernel::select<A>(cond, true_br, false_br, A {});
2024-04-28T16:38:23,250         |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:24,198   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:24,198   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:24,199   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:24,200   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:24,201   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&>; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T16:38:24,201   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&>; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T16:38:24,202   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:24,203   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:24,204   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:24,204   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:24,205   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:24,206   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:24,207   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:24,208   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:24,208     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-28T16:38:24,209         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:24,210   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-28T16:38:24,211   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-28T16:38:24,212     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-28T16:38:24,212         |                            ^~~
2024-04-28T16:38:24,213   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,214   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-28T16:38:24,214   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-28T16:38:24,215      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-28T16:38:24,216         |                                     ^~~~~
2024-04-28T16:38:24,217   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:24,218     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:24,218         |                            ^~~
2024-04-28T16:38:24,219   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,219   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:24,220     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T16:38:24,221         |                                                                       ^
2024-04-28T16:38:24,221   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::details::le(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:24,222   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:179:37:   required from ‘xsimd::batch_bool<double, xsimd::neon> xsimd::operator<=(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:24,222   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:33:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:24,223   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:24,224   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:24,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::exp::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:24,226   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:24,226   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:24,227   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:24,228   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:24,229   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:24,229   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:24,230   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:24,231   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:738:33: error: no matching function for call to ‘le<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:24,232     738 |             return kernel::le<A>(self, other, A {});
2024-04-28T16:38:24,232         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:24,233   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:960:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::le(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:24,233     960 |         inline batch_bool<T, A> le(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:24,234         |                                 ^~
2024-04-28T16:38:24,235   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:960:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,235   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:959:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:24,236     959 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T16:38:24,236         |                                                                       ^
2024-04-28T16:38:24,237   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:971:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::le(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:24,238     971 |         inline batch_bool<T, A> le(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:24,239         |                                 ^~
2024-04-28T16:38:24,239   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:971:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,240   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:970:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:24,241     970 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T16:38:24,242         |                                                                             ^
2024-04-28T16:38:24,242   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:17:
2024-04-28T16:38:24,243   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_logical.hpp:116:33: note: candidate: ‘template<class A, class T, class> xsimd::batch_bool<T, A> xsimd::kernel::le(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-28T16:38:24,244     116 |         inline batch_bool<T, A> le(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-28T16:38:24,244         |                                 ^~
2024-04-28T16:38:24,245   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_logical.hpp:116:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,246   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_logical.hpp:115:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-28T16:38:24,247     115 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-28T16:38:24,248         |                                     ^~~~~
2024-04-28T16:38:24,249   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::abs(const batch<T, A>&) [with T = double; A = neon]’:
2024-04-28T16:38:24,249   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:711:37:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::kernel::sincos(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:24,250   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2089:33:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::sincos(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:24,250   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:865:34:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::exp(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:24,251   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = std::complex<double>; A = neon]’
2024-04-28T16:38:24,252   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::exp::operator()(T&& ...) const [with T = {xsimd::batch<std::complex<double>, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...))>::type = xsimd::batch<std::complex<double>, xsimd::neon>; decltype (xsimd::exp((forward<T>)(<unnamed>::pythonic::numpy::functor::exp::operator()::args)...)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-28T16:38:24,252   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:24,253   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:24,254   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:24,255   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:24,255   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:24,256   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:24,257   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:24,258   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:59:30: error: no matching function for call to ‘abs<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:24,258      59 |         return kernel::abs<A>(x, A {});
2024-04-28T16:38:24,259         |                ~~~~~~~~~~~~~~^~~~~~~~~
2024-04-28T16:38:24,260   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:30:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::abs(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-28T16:38:24,261      30 |         inline batch<T, A> abs(batch<T, A> const& self, requires_arch<generic>) noexcept
2024-04-28T16:38:24,261         |                            ^~~
2024-04-28T16:38:24,262   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:30:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,262   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:24:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-28T16:38:24,263      24 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-28T16:38:24,264         |                                     ^~~~~
2024-04-28T16:38:24,264   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1333:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::abs(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:24,265    1333 |         inline batch<T, A> abs(batch<T, A> const& arg, requires_arch<neon>) noexcept
2024-04-28T16:38:24,266         |                            ^~~
2024-04-28T16:38:24,266   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1333:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,267   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1332:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:24,268    1332 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T16:38:24,268         |                                                                       ^
2024-04-28T16:38:24,269   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:43:28: note: candidate: ‘template<class A, class T> xsimd::batch<T, A> xsimd::kernel::abs(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>)’
2024-04-28T16:38:24,270      43 |         inline batch<T, A> abs(batch<std::complex<T>, A> const& z, requires_arch<generic>) noexcept
2024-04-28T16:38:24,271         |                            ^~~
2024-04-28T16:38:24,272   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:43:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:24,272   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:59:30: note:   mismatched types ‘std::complex<_Up>’ and ‘double’
2024-04-28T16:38:24,273      59 |         return kernel::abs<A>(x, A {});
2024-04-28T16:38:24,274         |                ~~~~~~~~~~~~~~^~~~~~~~~
2024-04-28T16:38:25,858   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator-=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:25,858   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:224:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator-(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:25,859   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:761:28:   required from ‘static xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::batch_type xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::reduce(const batch_type&, batch_type&, batch_type&, batch_type&) [with A = xsimd::neon; batch_type = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:25,860   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:846:49:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:25,861   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:25,861   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:25,862   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:25,863   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,863   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,864   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:25,865   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,865   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,866   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:25,867   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:777:38: error: no matching function for call to ‘sub<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:25,868     777 |         return *this = kernel::sub<A>(*this, other, A {});
2024-04-28T16:38:25,869         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:25,870   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::sub(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,870     773 |         inline batch<T, A> sub(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,871         |                            ^~~
2024-04-28T16:38:25,872   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,873   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:772:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:25,873     772 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T16:38:25,874         |                                                                     ^
2024-04-28T16:38:25,875   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator/=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:25,875   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:236:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator/(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:25,876   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:767:61:   required from ‘static xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::batch_type xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::finalize(const batch_type&, const batch_type&, const batch_type&, const batch_type&) [with A = xsimd::neon; batch_type = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:25,877   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:848:40:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:25,878   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:25,879   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:25,879   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:25,880   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,880   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,881   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:25,882   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,883   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,884   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:25,885   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:791:38: error: no matching function for call to ‘div<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:25,885     791 |         return *this = kernel::div<A>(*this, other, A {});
2024-04-28T16:38:25,886         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:25,887   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::div(const xsimd::batch<float, A>&, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-28T16:38:25,888     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,888         |                                ^~~
2024-04-28T16:38:25,889   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:59: note:   no known conversion for argument 1 from ‘xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-28T16:38:25,890     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,891         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-28T16:38:25,891   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::div(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-28T16:38:25,892      63 |         inline batch<T, A> div(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-28T16:38:25,893         |                            ^~~
2024-04-28T16:38:25,894   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,894   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:62:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-28T16:38:25,895      62 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-28T16:38:25,896         |                                     ^~~~~
2024-04-28T16:38:25,950   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator^=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:25,951   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:254:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator^(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:25,952   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:719:49:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::kernel::sincos(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:25,952   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2089:33:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::sincos(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:25,953   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:865:34:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::exp(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:25,953   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = std::complex<double>; A = neon]’
2024-04-28T16:38:25,954   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:25,955   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,956   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,957   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:25,958   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,958   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,959   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:25,960   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:819:46: error: no matching function for call to ‘bitwise_xor<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:25,961     819 |         return *this = kernel::bitwise_xor<A>(*this, other, A {});
2024-04-28T16:38:25,961         |                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:25,962   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1142:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::bitwise_xor(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,963    1142 |         inline batch<T, A> bitwise_xor(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,964         |                            ^~~~~~~~~~~
2024-04-28T16:38:25,964   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1142:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,965   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1141:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:25,966    1141 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T16:38:25,966         |                                                                     ^
2024-04-28T16:38:25,967   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1149:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::bitwise_xor(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,967    1149 |         inline batch_bool<T, A> bitwise_xor(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,968         |                                 ^~~~~~~~~~~
2024-04-28T16:38:25,969   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1149:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,969   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:819:46: note:   ‘xsimd::batch<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool<T, xsimd::neon>’
2024-04-28T16:38:25,970     819 |         return *this = kernel::bitwise_xor<A>(*this, other, A {});
2024-04-28T16:38:25,970         |                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:25,971   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::details::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:25,972   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:167:37:   required from ‘xsimd::batch_bool<double, xsimd::neon> xsimd::operator==(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:25,973   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:720:55:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::kernel::sincos(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:25,973   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2089:33:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::sincos(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:25,974   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:865:34:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::exp(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:25,975   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = std::complex<double>; A = neon]’
2024-04-28T16:38:25,975   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:25,977   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,977   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:25,978   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:25,978   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,979   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:25,980   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:25,981   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:708:33: error: no matching function for call to ‘eq<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:25,982     708 |             return kernel::eq<A>(self, other, A {});
2024-04-28T16:38:25,982         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:25,983   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,983     863 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,984         |                                 ^~
2024-04-28T16:38:25,984   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,985   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:862:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:25,986     862 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T16:38:25,986         |                                                                       ^
2024-04-28T16:38:25,987   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,988     874 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,988         |                                 ^~
2024-04-28T16:38:25,989   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,990   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:708:33: note:   ‘const xsimd::batch<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool<T, xsimd::neon>’
2024-04-28T16:38:25,990     708 |             return kernel::eq<A>(self, other, A {});
2024-04-28T16:38:25,991         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:25,992   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,993     885 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,994         |                                 ^~
2024-04-28T16:38:25,994   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,995   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:884:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:25,995     884 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T16:38:25,996         |                                                                             ^
2024-04-28T16:38:25,996   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:25,997     891 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:25,997         |                                 ^~
2024-04-28T16:38:25,998   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:25,999   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:708:33: note:   ‘const xsimd::batch<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool<T, xsimd::neon>’
2024-04-28T16:38:25,999     708 |             return kernel::eq<A>(self, other, A {});
2024-04-28T16:38:26,000         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:26,001   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator+=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:26,002   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:218:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator+(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:26,002   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1351:53:   required from ‘xsimd::batch<std::complex<_Tp>, A>& xsimd::batch<std::complex<_Tp>, A>::operator*=(const xsimd::batch<std::complex<_Tp>, A>&) [with T = double; A = xsimd::neon]’
2024-04-28T16:38:26,003   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:465:32:   required from ‘xsimd::batch<std::complex<double>, xsimd::neon> xsimd::operator*(const batch<std::complex<double>, neon>&, const batch<std::complex<double>, neon>&)’
2024-04-28T16:38:26,004   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:866:37:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::exp(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:26,004   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   required from ‘xsimd::batch<T, A> xsimd::exp(const batch<T, A>&) [with T = std::complex<double>; A = neon]’
2024-04-28T16:38:26,005   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:26,006   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:26,007   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:26,008   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:26,008   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:26,009   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:26,010   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:26,011   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:770:38: error: no matching function for call to ‘add<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:26,012     770 |         return *this = kernel::add<A>(*this, other, A {});
2024-04-28T16:38:26,012         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:26,013   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::add(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:26,014     736 |         inline batch<T, A> add(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:26,014         |                            ^~~
2024-04-28T16:38:26,015   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:26,015   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:735:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:26,016     735 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T16:38:26,017         |                                                                     ^
2024-04-28T16:38:28,077   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::batch<T, A>::operator-() const [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:28,078   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:104:20:   required from ‘xsimd::batch<T, A> xsimd::kernel::fnma(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,079   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:928:31:   required from ‘xsimd::batch<T, A> xsimd::fnma(const batch<T, A>&, const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:28,080   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:759:30:   required from ‘static xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::batch_type xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::reduce(const batch_type&, batch_type&, batch_type&, batch_type&) [with A = xsimd::neon; batch_type = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:28,081   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:846:49:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,081   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,082   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,083   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,084   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,084   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,085   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,086   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,086   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,089   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:908:30: error: no matching function for call to ‘neg<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:28,090     908 |         return kernel::neg<A>(*this, A {});
2024-04-28T16:38:28,091         |                ~~~~~~~~~~~~~~^~~~~~~~~~~~~
2024-04-28T16:38:28,092   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,093     675 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,093         |                            ^~~
2024-04-28T16:38:28,094   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,094   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:674:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,095     674 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-28T16:38:28,095         |                                                                             ^
2024-04-28T16:38:28,096   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,096     681 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,097         |                            ^~~
2024-04-28T16:38:28,098   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,098   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:680:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,098     680 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-28T16:38:28,099         |                                                                           ^
2024-04-28T16:38:28,099   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,100     687 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,101         |                            ^~~
2024-04-28T16:38:28,101   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,102   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:686:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,102     686 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-28T16:38:28,102         |                                                                             ^
2024-04-28T16:38:28,103   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,103     693 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,104         |                            ^~~
2024-04-28T16:38:28,104   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,104   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:692:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,105     692 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-28T16:38:28,105         |                                                                           ^
2024-04-28T16:38:28,106   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,106     699 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,107         |                            ^~~
2024-04-28T16:38:28,107   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,108   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:698:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,109     698 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-28T16:38:28,109         |                                                                             ^
2024-04-28T16:38:28,110   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,110     705 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,111         |                            ^~~
2024-04-28T16:38:28,111   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,112   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:704:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,113     704 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-28T16:38:28,113         |                                                                           ^
2024-04-28T16:38:28,113   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,114     711 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,114         |                            ^~~
2024-04-28T16:38:28,114   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,115   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:710:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,115     710 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-28T16:38:28,115         |                                                                             ^
2024-04-28T16:38:28,116   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:28,116     717 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,117         |                            ^~~
2024-04-28T16:38:28,117   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,118   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:716:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:28,119     716 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-28T16:38:28,119         |                                                                           ^
2024-04-28T16:38:28,120   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::neg(const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-28T16:38:28,120     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,121         |                                ^~~
2024-04-28T16:38:28,121   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:59: note:   no known conversion for argument 1 from ‘const xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-28T16:38:28,122     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:28,122         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-28T16:38:28,123   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:28,124   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,124   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,125   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,125   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,125   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,126   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,126   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,127   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,127   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,128   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,129   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,129   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,130   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:68:51: error: static assertion failed: compatible sizes
2024-04-28T16:38:28,130      68 |                 static_assert(batch_type_in::size == batch_type_out::size, "compatible sizes");
2024-04-28T16:38:28,131         |                                              ~~~~~^~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:28,132   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:68:51: note: the comparison reduces to ‘(0 == 2)’
2024-04-28T16:38:28,132   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:37: error: no matching function for call to ‘begin(double [0])’
2024-04-28T16:38:28,133      72 |                 std::copy(std::begin(buffer_in), std::end(buffer_in), std::begin(buffer_out));
2024-04-28T16:38:28,134         |                           ~~~~~~~~~~^~~~~~~~~~~
2024-04-28T16:38:28,135   In file included from /usr/include/c++/12/utility:73,
2024-04-28T16:38:28,135                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:5,
2024-04-28T16:38:28,136                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/assignable.hpp:4,
2024-04-28T16:38:28,137                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:41:
2024-04-28T16:38:28,138   /usr/include/c++/12/initializer_list:90:5: note: candidate: ‘template<class _Tp> constexpr const _Tp* std::begin(initializer_list<_Tp>)’
2024-04-28T16:38:28,138      90 |     begin(initializer_list<_Tp> __ils) noexcept
2024-04-28T16:38:28,139         |     ^~~~~
2024-04-28T16:38:28,140   /usr/include/c++/12/initializer_list:90:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,140   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:37: note:   mismatched types ‘std::initializer_list<_Tp>’ and ‘double*’
2024-04-28T16:38:28,141      72 |                 std::copy(std::begin(buffer_in), std::end(buffer_in), std::begin(buffer_out));
2024-04-28T16:38:28,141         |                           ~~~~~~~~~~^~~~~~~~~~~
2024-04-28T16:38:28,142   In file included from /usr/include/c++/12/string:52,
2024-04-28T16:38:28,142                    from /usr/include/c++/12/bits/locale_classes.h:40,
2024-04-28T16:38:28,143                    from /usr/include/c++/12/bits/ios_base.h:41,
2024-04-28T16:38:28,143                    from /usr/include/c++/12/ios:42,
2024-04-28T16:38:28,144                    from /usr/include/c++/12/istream:38,
2024-04-28T16:38:28,144                    from /usr/include/c++/12/sstream:38,
2024-04-28T16:38:28,145                    from /usr/include/c++/12/complex:45,
2024-04-28T16:38:28,146                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/traits.hpp:4,
2024-04-28T16:38:28,146                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/combined.hpp:6,
2024-04-28T16:38:28,147                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/combined.hpp:4,
2024-04-28T16:38:28,148                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:42:
2024-04-28T16:38:28,148   /usr/include/c++/12/bits/range_access.h:52:5: note: candidate: ‘template<class _Container> decltype (__cont.begin()) std::begin(_Container&)’
2024-04-28T16:38:28,149      52 |     begin(_Container& __cont) -> decltype(__cont.begin())
2024-04-28T16:38:28,150         |     ^~~~~
2024-04-28T16:38:28,151   /usr/include/c++/12/bits/range_access.h:52:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,151   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.begin()) std::begin(_Container&) [with _Container = double [0]]’:
2024-04-28T16:38:28,152   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:37:   required from ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,153   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,154   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,154   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,155   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,156   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,157   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,157   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,158   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,159   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,160   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,161   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,162   /usr/include/c++/12/bits/range_access.h:52:50: error: request for member ‘begin’ in ‘__cont’, which is of non-class type ‘double [0]’
2024-04-28T16:38:28,162      52 |     begin(_Container& __cont) -> decltype(__cont.begin())
2024-04-28T16:38:28,163         |                                           ~~~~~~~^~~~~
2024-04-28T16:38:28,163   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:28,164   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,165   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,165   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,166   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,167   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,168   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,169   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,169   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,170   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,171   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,172   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,172   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,173   /usr/include/c++/12/bits/range_access.h:63:5: note: candidate: ‘template<class _Container> decltype (__cont.begin()) std::begin(const _Container&)’
2024-04-28T16:38:28,174      63 |     begin(const _Container& __cont) -> decltype(__cont.begin())
2024-04-28T16:38:28,175         |     ^~~~~
2024-04-28T16:38:28,175   /usr/include/c++/12/bits/range_access.h:63:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,176   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.begin()) std::begin(const _Container&) [with _Container = double [0]]’:
2024-04-28T16:38:28,177   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:37:   required from ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,177   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,178   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,178   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,179   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,180   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,181   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,181   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,182   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,183   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,184   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,185   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,185   /usr/include/c++/12/bits/range_access.h:63:56: error: request for member ‘begin’ in ‘__cont’, which is of non-class type ‘const double [0]’
2024-04-28T16:38:28,186      63 |     begin(const _Container& __cont) -> decltype(__cont.begin())
2024-04-28T16:38:28,187         |                                                 ~~~~~~~^~~~~
2024-04-28T16:38:28,187   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:28,188   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,189   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,190   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,190   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,191   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,191   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,192   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,193   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,193   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,194   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,195   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,196   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,197   /usr/include/c++/12/bits/range_access.h:95:5: note: candidate: ‘template<class _Tp, unsigned int _Nm> _Tp* std::begin(_Tp (&)[_Nm])’
2024-04-28T16:38:28,197      95 |     begin(_Tp (&__arr)[_Nm]) noexcept
2024-04-28T16:38:28,198         |     ^~~~~
2024-04-28T16:38:28,199   /usr/include/c++/12/bits/range_access.h:95:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,200   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:58: error: no matching function for call to ‘end(double [0])’
2024-04-28T16:38:28,200      72 |                 std::copy(std::begin(buffer_in), std::end(buffer_in), std::begin(buffer_out));
2024-04-28T16:38:28,201         |                                                  ~~~~~~~~^~~~~~~~~~~
2024-04-28T16:38:28,202   /usr/include/c++/12/initializer_list:101:5: note: candidate: ‘template<class _Tp> constexpr const _Tp* std::end(initializer_list<_Tp>)’
2024-04-28T16:38:28,203     101 |     end(initializer_list<_Tp> __ils) noexcept
2024-04-28T16:38:28,203         |     ^~~
2024-04-28T16:38:28,204   /usr/include/c++/12/initializer_list:101:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,205   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:58: note:   mismatched types ‘std::initializer_list<_Tp>’ and ‘double*’
2024-04-28T16:38:28,205      72 |                 std::copy(std::begin(buffer_in), std::end(buffer_in), std::begin(buffer_out));
2024-04-28T16:38:28,206         |                                                  ~~~~~~~~^~~~~~~~~~~
2024-04-28T16:38:28,207   /usr/include/c++/12/bits/range_access.h:74:5: note: candidate: ‘template<class _Container> decltype (__cont.end()) std::end(_Container&)’
2024-04-28T16:38:28,207      74 |     end(_Container& __cont) -> decltype(__cont.end())
2024-04-28T16:38:28,208         |     ^~~
2024-04-28T16:38:28,209   /usr/include/c++/12/bits/range_access.h:74:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,209   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.end()) std::end(_Container&) [with _Container = double [0]]’:
2024-04-28T16:38:28,210   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:58:   required from ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,212   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,212   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,213   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,213   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,214   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,215   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,215   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,216   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,217   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,218   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,219   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,219   /usr/include/c++/12/bits/range_access.h:74:48: error: request for member ‘end’ in ‘__cont’, which is of non-class type ‘double [0]’
2024-04-28T16:38:28,220      74 |     end(_Container& __cont) -> decltype(__cont.end())
2024-04-28T16:38:28,221         |                                         ~~~~~~~^~~
2024-04-28T16:38:28,221   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:28,222   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,223   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,224   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,226   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,227   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,227   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,228   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,229   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,230   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,231   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,231   /usr/include/c++/12/bits/range_access.h:85:5: note: candidate: ‘template<class _Container> decltype (__cont.end()) std::end(const _Container&)’
2024-04-28T16:38:28,232      85 |     end(const _Container& __cont) -> decltype(__cont.end())
2024-04-28T16:38:28,233         |     ^~~
2024-04-28T16:38:28,233   /usr/include/c++/12/bits/range_access.h:85:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,234   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.end()) std::end(const _Container&) [with _Container = double [0]]’:
2024-04-28T16:38:28,234   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:72:58:   required from ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,235   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,236   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,237   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,237   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,238   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,239   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,240   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,241   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,241   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,242   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,243   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,243   /usr/include/c++/12/bits/range_access.h:85:54: error: request for member ‘end’ in ‘__cont’, which is of non-class type ‘const double [0]’
2024-04-28T16:38:28,244      85 |     end(const _Container& __cont) -> decltype(__cont.end())
2024-04-28T16:38:28,245         |                                               ~~~~~~~^~~
2024-04-28T16:38:28,246   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_out = long long int; T_in = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:28,246   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:81:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::batch_cast(const xsimd::batch<R, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = long long int; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,247   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:233:37:   required from ‘xsimd::batch<T_out, A> xsimd::batch_cast(const batch<T_in, A>&) [with T_out = long long int; T_in = double; A = neon]’
2024-04-28T16:38:28,247   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2432:43:   required from ‘xsimd::batch<typename xsimd::as_integer<T>::type, A> xsimd::to_int(const batch<T, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:28,248   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:88:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:28,249   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   required from ‘xsimd::batch<T, A> xsimd::kernel::exp(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,249   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,250   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,251   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,252   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,253   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,253   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,254   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:28,255   /usr/include/c++/12/bits/range_access.h:106:5: note: candidate: ‘template<class _Tp, unsigned int _Nm> _Tp* std::end(_Tp (&)[_Nm])’
2024-04-28T16:38:28,255     106 |     end(_Tp (&__arr)[_Nm]) noexcept
2024-04-28T16:38:28,256         |     ^~~
2024-04-28T16:38:28,256   /usr/include/c++/12/bits/range_access.h:106:5: note:   template argument deduction/substitution failed:
2024-04-28T16:38:28,319   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T16:38:28,320   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T16:38:28,321   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:581:40:   required from ‘static B xsimd::kernel::detail::trigo_reducer<B, Tag>::reduce(const B&, B&) [with B = xsimd::batch<double, xsimd::neon>; Tag = xsimd::kernel::detail::trigo_radian_tag]’
2024-04-28T16:38:28,321   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:713:75:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::kernel::sincos(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,322   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2089:33:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::sincos(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:28,323   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:865:34:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::exp(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:28,323   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:690:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:28,324   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,325   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:28,325   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:28,326   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,327   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:28,328   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:28,328   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:517:55: error: static assertion failed: there should be a direct store for this type combination
2024-04-28T16:38:28,329     517 |             static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct store for this type combination");
2024-04-28T16:38:28,330         |                                                       ^~~~~
2024-04-28T16:38:28,330   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:517:55: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-28T16:38:44,221   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(register_type) [with T = double; A = xsimd::neon; register_type = xsimd::types::simd_register<double, xsimd::neon>::register_type]’:
2024-04-28T16:38:44,222   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:2561:51:   required from ‘xsimd::batch<R, A> xsimd::kernel::bitwise_cast(const xsimd::batch<T, A>&, const xsimd::batch<R, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = long long int; R = double; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-28T16:38:44,223   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:322:39:   required from ‘xsimd::batch<T_out, A> xsimd::bitwise_cast(const batch<T_in, A>&) [with T_out = double; T_in = long long int; A = neon]’
2024-04-28T16:38:44,224   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1064:51:   required from ‘xsimd::batch<T, A> xsimd::kernel::ldexp(const xsimd::batch<T, A>&, const xsimd::batch<typename xsimd::as_integer<T>::type, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; typename xsimd::as_integer<T>::type = long long int; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:44,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1197:32:   required from ‘xsimd::batch<T, A> xsimd::ldexp(const batch<T, A>&, const batch<typename as_integer<T>::type, A>&) [with T = double; A = neon; typename as_integer<T>::type = long long int]’
2024-04-28T16:38:44,225   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:849:78:   required from ‘xsimd::batch<double, A> xsimd::kernel::detail::exp(const xsimd::batch<double, A>&) [with exp_reduction_tag Tag = xsimd::kernel::detail::exp_tag; A = xsimd::neon]’
2024-04-28T16:38:44,226   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:858:48:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:44,227   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:44,228   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:44,228   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:44,229   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:44,230   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:44,231   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:44,231   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:539:45: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(<brace-enclosed initializer list>)’
2024-04-28T16:38:44,232     539 |         : types::simd_register<T, A>({ reg })
2024-04-28T16:38:44,232         |                                             ^
2024-04-28T16:38:44,233   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-28T16:38:44,234      27 |         struct simd_register
2024-04-28T16:38:44,234         |                ^~~~~~~~~~~~~
2024-04-28T16:38:44,235   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-28T16:38:44,236   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-28T16:38:44,237   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘<brace-enclosed initializer list>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-28T16:38:44,238   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-28T16:38:44,238   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘<brace-enclosed initializer list>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-28T16:38:44,295   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator&=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:44,295   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:242:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator&(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:44,296   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:103:25:   required from ‘xsimd::batch<double, A> xsimd::kernel::bitofsign(const xsimd::batch<double, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:44,297   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:247:36:   required from ‘xsimd::batch<T, A> xsimd::bitofsign(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:44,298   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:719:42:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::kernel::sincos(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:44,299   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2089:33:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::sincos(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:44,299   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:865:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:44,300   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:44,300   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:44,301   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:44,302   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:44,303   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:44,304   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:44,304   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:805:46: error: no matching function for call to ‘bitwise_and<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:44,305     805 |         return *this = kernel::bitwise_and<A>(*this, other, A {});
2024-04-28T16:38:44,306         |                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:44,307   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1062:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::bitwise_and(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:44,307    1062 |         inline batch<T, A> bitwise_and(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:44,308         |                            ^~~~~~~~~~~
2024-04-28T16:38:44,309   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1062:28: note:   template argument deduction/substitution failed:
2024-04-28T16:38:44,310   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1061:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:44,310    1061 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T16:38:44,311         |                                                                     ^
2024-04-28T16:38:44,312   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1069:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::bitwise_and(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:44,313    1069 |         inline batch_bool<T, A> bitwise_and(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:44,313         |                                 ^~~~~~~~~~~
2024-04-28T16:38:44,314   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1069:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:44,315   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:805:46: note:   ‘xsimd::batch<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool<T, xsimd::neon>’
2024-04-28T16:38:44,315     805 |         return *this = kernel::bitwise_and<A>(*this, other, A {});
2024-04-28T16:38:44,316         |                        ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:45,470   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::details::lt(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:45,470   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:187:37:   required from ‘xsimd::batch_bool<double, xsimd::neon> xsimd::operator<(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:45,472   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1826:37:   required from ‘xsimd::batch<T, A> xsimd::kernel::detail::nearbyintf(const xsimd::batch<T, A>&) [with A = xsimd::neon; T = double]’
2024-04-28T16:38:45,473   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1837:38:   required from ‘xsimd::batch<double, A> xsimd::kernel::nearbyint(const xsimd::batch<double, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:45,473   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1529:36:   required from ‘xsimd::batch<T, A> xsimd::nearbyint(const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T16:38:45,474   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:758:45:   required from ‘static xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::batch_type xsimd::kernel::detail::exp_reduction<double, A, xsimd::kernel::detail::exp_tag>::reduce(const batch_type&, batch_type&, batch_type&, batch_type&) [with A = xsimd::neon; batch_type = xsimd::batch<double, xsimd::neon>]’
2024-04-28T16:38:45,475   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:846:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:45,475   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:45,476   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:45,477   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:45,478   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:45,478   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:45,479   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1003:87:   required from here
2024-04-28T16:38:45,479   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:758:33: error: no matching function for call to ‘lt<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:45,480     758 |             return kernel::lt<A>(self, other, A {});
2024-04-28T16:38:45,481         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:45,481   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:936:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::lt(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:45,482     936 |         inline batch_bool<T, A> lt(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:45,483         |                                 ^~
2024-04-28T16:38:45,484   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:936:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:45,484   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:935:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:45,484     935 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T16:38:45,485         |                                                                       ^
2024-04-28T16:38:45,485   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:947:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::lt(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:45,486     947 |         inline batch_bool<T, A> lt(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:45,486         |                                 ^~
2024-04-28T16:38:45,487   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:947:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:45,487   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:946:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:45,488     946 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T16:38:45,489         |                                                                             ^
2024-04-28T16:38:45,566   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator==(const xsimd::batch_bool<T, A>&) const [with T = double; A = xsimd::neon]’:
2024-04-28T16:38:45,567   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1041:16:   required from ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator!() const [with T = double; A = xsimd::neon]’
2024-04-28T16:38:45,568   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_logical.hpp:125:20:   required from ‘xsimd::batch_bool<T, A> xsimd::kernel::neq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:45,568   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:718:34:   required from ‘xsimd::batch_bool<T, A> xsimd::details::neq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’
2024-04-28T16:38:45,569   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:171:38:   required from ‘xsimd::batch_bool<double, xsimd::neon> xsimd::operator!=(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T16:38:45,570   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/./xsimd_generic_trigo.hpp:719:62:   required from ‘std::pair<xsimd::batch<T, A>, xsimd::batch<T, A> > xsimd::kernel::sincos(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T16:38:45,570   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2089:33:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T16:38:45,571   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:45,572   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-28T16:38:45,572   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int>; E = {anonymous}::pythonic::types::numpy_expr<functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >]’
2024-04-28T16:38:45,573   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::exp, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, double>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:45,574   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:401:41:   required from ‘typename {anonymous}::__pythran_pseudo_spect::exact_lin_compute::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_pseudo_spect::exact_lin_compute::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-28T16:38:45,574   fluidsim/base/time_stepping/__pythran__/pseudo_spect.cpp:1067:87:   required from here
2024-04-28T16:38:45,575   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1019:29: error: no matching function for call to ‘eq<xsimd::neon>(const xsimd::batch_bool<double, xsimd::neon>&, const xsimd::batch_bool<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T16:38:45,576    1019 |         return kernel::eq<A>(*this, other, A {}).data;
2024-04-28T16:38:45,576         |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:45,577   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:45,577     863 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:45,578         |                                 ^~
2024-04-28T16:38:45,578   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:45,579   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1019:29: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch<V, xsimd::neon>’
2024-04-28T16:38:45,580    1019 |         return kernel::eq<A>(*this, other, A {}).data;
2024-04-28T16:38:45,580         |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:45,581   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:45,582     874 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:45,582         |                                 ^~
2024-04-28T16:38:45,583   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:45,583   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:873:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:45,584     873 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T16:38:45,584         |                                                                       ^
2024-04-28T16:38:45,585   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:45,586     885 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:45,587         |                                 ^~
2024-04-28T16:38:45,587   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:45,587   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1019:29: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch<V, xsimd::neon>’
2024-04-28T16:38:45,588    1019 |         return kernel::eq<A>(*this, other, A {}).data;
2024-04-28T16:38:45,588         |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T16:38:45,589   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T16:38:45,589     891 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T16:38:45,589         |                                 ^~
2024-04-28T16:38:45,590   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note:   template argument deduction/substitution failed:
2024-04-28T16:38:45,590   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:890:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T16:38:45,591     890 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T16:38:45,591         |                                                                             ^
2024-04-28T17:37:26,242   virtual memory exhausted: Cannot allocate memory
2024-04-28T17:37:26,798   INFO: Generated C++ source file: fluidsim/base/output/__pythran__/increments.cpp
2024-04-28T17:37:26,798   Generated C++ source file: fluidsim/base/output/__pythran__/increments.cpp
2024-04-28T17:37:26,799   building 'fluidsim.base.output.__pythran__.increments' extension
2024-04-28T17:37:26,800   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-28T17:37:26,801   creating build/temp.linux-armv7l-cpython-311/fluidsim/base/output
2024-04-28T17:37:26,802   creating build/temp.linux-armv7l-cpython-311/fluidsim/base/output/__pythran__
2024-04-28T17:37:26,802   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-28T17:37:26,803   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-28T17:37:26,803   INFO: arm-linux-gnueabihf-gcc: fluidsim/base/output/__pythran__/increments.cpp
2024-04-28T17:37:38,008   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-28T17:37:38,009                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-28T17:37:38,009                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-28T17:37:38,010                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-28T17:37:38,011                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-28T17:37:38,012                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-28T17:37:38,012                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-28T17:37:38,013                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-28T17:37:38,013                    from fluidsim/base/output/__pythran__/increments.cpp:1:
2024-04-28T17:37:38,014   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:38,014   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = double; dtype = double]’
2024-04-28T17:37:38,015   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = double; T = double; B = double]’
2024-04-28T17:37:38,015   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:38:37:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, typename {anonymous}::pythonic::types::reshape_type<E, E ...>::type ...> >::type {anonymous}::pythonic::numpy::functor::power::operator()(E&& ...) const [with E = {{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, double&}; typename std::enable_if<{anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, typename {anonymous}::pythonic::types::reshape_type<E, E ...>::type ...> >::type = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >]’
2024-04-28T17:37:38,016   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/pow.hpp:36:35:   required from ‘decltype ({anonymous}::pythonic::numpy::functor::power{}((forward<Types>)(<unnamed>::pythonic::builtins::pow::args)...)) {anonymous}::pythonic::builtins::pow(Types&& ...) [with Types = {{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, double&}; decltype ({anonymous}::pythonic::numpy::functor::power{}((forward<Types>)(<unnamed>::pythonic::builtins::pow::args)...)) = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >]’
2024-04-28T17:37:38,016   fluidsim/base/output/__pythran__/increments.cpp:181:398:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,017   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,018   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-28T17:37:38,019     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-28T17:37:38,019         |                                                                     ^
2024-04-28T17:37:38,020   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-28T17:37:38,021                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-28T17:37:38,021                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-28T17:37:38,022                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-28T17:37:38,023                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-28T17:37:38,023                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-28T17:37:38,024                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-28T17:37:38,025                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-28T17:37:38,026                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-28T17:37:38,026                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-28T17:37:38,027   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-28T17:37:38,027      27 |         struct simd_register
2024-04-28T17:37:38,028         |                ^~~~~~~~~~~~~
2024-04-28T17:37:38,029   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-28T17:37:38,030   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-28T17:37:38,030   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-28T17:37:38,031   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-28T17:37:38,032   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-28T17:37:38,659   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19,
2024-04-28T17:37:38,660                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120,
2024-04-28T17:37:38,660                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-28T17:37:38,661   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T17:37:38,662   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,662   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,663   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,663   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,664   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,665   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,666   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,666   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,667   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,668   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:517:55: error: static assertion failed: there should be a direct store for this type combination
2024-04-28T17:37:38,668     517 |             static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct store for this type combination");
2024-04-28T17:37:38,669         |                                                       ^~~~~
2024-04-28T17:37:38,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:517:55: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-28T17:37:38,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:33: error: no matching function for call to ‘begin(double [0])’
2024-04-28T17:37:38,671     520 |             std::copy(std::begin(buffer), std::end(buffer), mem);
2024-04-28T17:37:38,671         |                       ~~~~~~~~~~^~~~~~~~
2024-04-28T17:37:38,672   In file included from /usr/include/c++/12/utility:73,
2024-04-28T17:37:38,673                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:5,
2024-04-28T17:37:38,674                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/assignable.hpp:4,
2024-04-28T17:37:38,674                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:41:
2024-04-28T17:37:38,675   /usr/include/c++/12/initializer_list:90:5: note: candidate: ‘template<class _Tp> constexpr const _Tp* std::begin(initializer_list<_Tp>)’
2024-04-28T17:37:38,675      90 |     begin(initializer_list<_Tp> __ils) noexcept
2024-04-28T17:37:38,676         |     ^~~~~
2024-04-28T17:37:38,677   /usr/include/c++/12/initializer_list:90:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,677   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:33: note:   mismatched types ‘std::initializer_list<_Tp>’ and ‘double*’
2024-04-28T17:37:38,678     520 |             std::copy(std::begin(buffer), std::end(buffer), mem);
2024-04-28T17:37:38,679         |                       ~~~~~~~~~~^~~~~~~~
2024-04-28T17:37:38,679   In file included from /usr/include/c++/12/string:52,
2024-04-28T17:37:38,680                    from /usr/include/c++/12/bits/locale_classes.h:40,
2024-04-28T17:37:38,680                    from /usr/include/c++/12/bits/ios_base.h:41,
2024-04-28T17:37:38,681                    from /usr/include/c++/12/ios:42,
2024-04-28T17:37:38,681                    from /usr/include/c++/12/istream:38,
2024-04-28T17:37:38,682                    from /usr/include/c++/12/sstream:38,
2024-04-28T17:37:38,682                    from /usr/include/c++/12/complex:45,
2024-04-28T17:37:38,683                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/traits.hpp:4,
2024-04-28T17:37:38,683                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/combined.hpp:6,
2024-04-28T17:37:38,684                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/combined.hpp:4,
2024-04-28T17:37:38,684                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:42:
2024-04-28T17:37:38,685   /usr/include/c++/12/bits/range_access.h:52:5: note: candidate: ‘template<class _Container> decltype (__cont.begin()) std::begin(_Container&)’
2024-04-28T17:37:38,685      52 |     begin(_Container& __cont) -> decltype(__cont.begin())
2024-04-28T17:37:38,686         |     ^~~~~
2024-04-28T17:37:38,686   /usr/include/c++/12/bits/range_access.h:52:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,687   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.begin()) std::begin(_Container&) [with _Container = double [0]]’:
2024-04-28T17:37:38,687   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:33:   required from ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:38,688   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,689   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,690   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,690   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,691   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,692   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,692   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,693   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,694   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,694   /usr/include/c++/12/bits/range_access.h:52:50: error: request for member ‘begin’ in ‘__cont’, which is of non-class type ‘double [0]’
2024-04-28T17:37:38,695      52 |     begin(_Container& __cont) -> decltype(__cont.begin())
2024-04-28T17:37:38,696         |                                           ~~~~~~~^~~~~
2024-04-28T17:37:38,696   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T17:37:38,697   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,697   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,698   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,700   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,702   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,703   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,703   /usr/include/c++/12/bits/range_access.h:63:5: note: candidate: ‘template<class _Container> decltype (__cont.begin()) std::begin(const _Container&)’
2024-04-28T17:37:38,704      63 |     begin(const _Container& __cont) -> decltype(__cont.begin())
2024-04-28T17:37:38,705         |     ^~~~~
2024-04-28T17:37:38,706   /usr/include/c++/12/bits/range_access.h:63:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,706   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.begin()) std::begin(const _Container&) [with _Container = double [0]]’:
2024-04-28T17:37:38,707   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:33:   required from ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:38,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,709   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,711   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,712   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,712   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,713   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,714   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,714   /usr/include/c++/12/bits/range_access.h:63:56: error: request for member ‘begin’ in ‘__cont’, which is of non-class type ‘const double [0]’
2024-04-28T17:37:38,715      63 |     begin(const _Container& __cont) -> decltype(__cont.begin())
2024-04-28T17:37:38,716         |                                                 ~~~~~~~^~~~~
2024-04-28T17:37:38,717   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T17:37:38,717   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,719   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,720   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,720   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,721   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,722   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,723   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,723   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,724   /usr/include/c++/12/bits/range_access.h:95:5: note: candidate: ‘template<class _Tp, unsigned int _Nm> _Tp* std::begin(_Tp (&)[_Nm])’
2024-04-28T17:37:38,724      95 |     begin(_Tp (&__arr)[_Nm]) noexcept
2024-04-28T17:37:38,725         |     ^~~~~
2024-04-28T17:37:38,726   /usr/include/c++/12/bits/range_access.h:95:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:51: error: no matching function for call to ‘end(double [0])’
2024-04-28T17:37:38,727     520 |             std::copy(std::begin(buffer), std::end(buffer), mem);
2024-04-28T17:37:38,728         |                                           ~~~~~~~~^~~~~~~~
2024-04-28T17:37:38,728   /usr/include/c++/12/initializer_list:101:5: note: candidate: ‘template<class _Tp> constexpr const _Tp* std::end(initializer_list<_Tp>)’
2024-04-28T17:37:38,729     101 |     end(initializer_list<_Tp> __ils) noexcept
2024-04-28T17:37:38,729         |     ^~~
2024-04-28T17:37:38,730   /usr/include/c++/12/initializer_list:101:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:51: note:   mismatched types ‘std::initializer_list<_Tp>’ and ‘double*’
2024-04-28T17:37:38,731     520 |             std::copy(std::begin(buffer), std::end(buffer), mem);
2024-04-28T17:37:38,732         |                                           ~~~~~~~~^~~~~~~~
2024-04-28T17:37:38,733   /usr/include/c++/12/bits/range_access.h:74:5: note: candidate: ‘template<class _Container> decltype (__cont.end()) std::end(_Container&)’
2024-04-28T17:37:38,734      74 |     end(_Container& __cont) -> decltype(__cont.end())
2024-04-28T17:37:38,734         |     ^~~
2024-04-28T17:37:38,735   /usr/include/c++/12/bits/range_access.h:74:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,735   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.end()) std::end(_Container&) [with _Container = double [0]]’:
2024-04-28T17:37:38,736   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:51:   required from ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:38,736   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,738   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,740   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,740   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,741   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,742   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,743   /usr/include/c++/12/bits/range_access.h:74:48: error: request for member ‘end’ in ‘__cont’, which is of non-class type ‘double [0]’
2024-04-28T17:37:38,743      74 |     end(_Container& __cont) -> decltype(__cont.end())
2024-04-28T17:37:38,744         |                                         ~~~~~~~^~~
2024-04-28T17:37:38,744   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T17:37:38,745   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,745   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,746   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,746   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,747   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,748   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,748   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,749   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,750   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,751   /usr/include/c++/12/bits/range_access.h:85:5: note: candidate: ‘template<class _Container> decltype (__cont.end()) std::end(const _Container&)’
2024-04-28T17:37:38,751      85 |     end(const _Container& __cont) -> decltype(__cont.end())
2024-04-28T17:37:38,752         |     ^~~
2024-04-28T17:37:38,752   /usr/include/c++/12/bits/range_access.h:85:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:38,753   /usr/include/c++/12/bits/range_access.h: In substitution of ‘template<class _Container> decltype (__cont.end()) std::end(const _Container&) [with _Container = double [0]]’:
2024-04-28T17:37:38,753   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:520:51:   required from ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:38,754   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,754   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,755   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,756   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,757   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,758   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,758   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,759   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,760   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,760   /usr/include/c++/12/bits/range_access.h:85:54: error: request for member ‘end’ in ‘__cont’, which is of non-class type ‘const double [0]’
2024-04-28T17:37:38,761      85 |     end(const _Container& __cont) -> decltype(__cont.end())
2024-04-28T17:37:38,761         |                                               ~~~~~~~^~~
2024-04-28T17:37:38,762   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘void xsimd::kernel::store_aligned(T_out*, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T17:37:38,762   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:570:33:   required from ‘void xsimd::batch<T, A>::store_aligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-28T17:37:38,763   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:89:25:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:38,764   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:38,765   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:38,765   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:38,767   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:38,767   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:38,768   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:38,769   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:38,769   /usr/include/c++/12/bits/range_access.h:106:5: note: candidate: ‘template<class _Tp, unsigned int _Nm> _Tp* std::end(_Tp (&)[_Nm])’
2024-04-28T17:37:38,770     106 |     end(_Tp (&__arr)[_Nm]) noexcept
2024-04-28T17:37:38,770         |     ^~~
2024-04-28T17:37:38,771   /usr/include/c++/12/bits/range_access.h:106:5: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,141   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator+=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,142   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/icommon.hpp:33:31:   required from ‘decltype ((forward<A>)(<unnamed>::pythonic::operator_::iadd::a)+=(forward<B>)(<unnamed>::pythonic::operator_::iadd::b)) {anonymous}::pythonic::operator_::iadd(bool, A&&, B&&, std::nullptr_t) [with A = xsimd::batch<double, xsimd::neon>&; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>)(<unnamed>::pythonic::operator_::iadd::a)+=(forward<B>)(<unnamed>::pythonic::operator_::iadd::b)) = xsimd::batch<double, xsimd::neon>&; std::nullptr_t = std::nullptr_t]’
2024-04-28T17:37:39,143   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/icommon.hpp:37:25:   required from ‘decltype ({anonymous}::pythonic::operator_::iadd(true, forward<A>(a), forward<B>(b), nullptr)) {anonymous}::pythonic::operator_::iadd(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>&; B = xsimd::batch<double, xsimd::neon>; decltype ({anonymous}::pythonic::operator_::iadd(true, forward<A>(a), forward<B>(b), nullptr)) = xsimd::batch<double, xsimd::neon>&]’
2024-04-28T17:37:39,143   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/icommon.hpp:40:3:   required from ‘decltype ({anonymous}::pythonic::operator_::iadd((forward<Types>)(<unnamed>::pythonic::operator_::functor::iadd::operator()::types)...)) {anonymous}::pythonic::operator_::functor::iadd::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>&, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::iadd((forward<Types>)(<unnamed>::pythonic::operator_::functor::iadd::operator()::types)...)) = xsimd::batch<double, xsimd::neon>&]’
2024-04-28T17:37:39,144   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:87:13:   required from ‘F {anonymous}::pythonic::numpy::vreduce(E, F) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; F = double]’
2024-04-28T17:37:39,145   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:114:56:   required from ‘F {anonymous}::pythonic::numpy::_reduce<Op, 1, {anonymous}::pythonic::types::vectorizer_nobroadcast>::operator()(E&&, F) [with E = const {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >&; F = double; Op = {anonymous}::pythonic::operator_::functor::iadd]’
2024-04-28T17:37:39,146   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,146   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,147   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,148   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,149   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,149   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,150   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:770:38: error: no matching function for call to ‘add<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,151     770 |         return *this = kernel::add<A>(*this, other, A {});
2024-04-28T17:37:39,151         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,152   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100:
2024-04-28T17:37:39,153   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::add(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,153     736 |         inline batch<T, A> add(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,154         |                            ^~~
2024-04-28T17:37:39,155   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,155   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:735:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,156     735 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T17:37:39,156         |                                                                     ^
2024-04-28T17:37:39,499   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T17:37:39,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,501   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >, {anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >, {anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:85:19:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,503   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,506   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,506   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,507   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,508     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-28T17:37:39,508         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,509   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-28T17:37:39,509   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-28T17:37:39,510     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-28T17:37:39,510         |                            ^~~
2024-04-28T17:37:39,511   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,511   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-28T17:37:39,512   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-28T17:37:39,513      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-28T17:37:39,513         |                                     ^~~~~
2024-04-28T17:37:39,514   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,514     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,515         |                            ^~~
2024-04-28T17:37:39,515   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,516   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,517     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T17:37:39,517         |                                                                       ^
2024-04-28T17:37:39,591   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-28T17:37:39,592   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,592   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-28T17:37:39,593   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-28T17:37:39,593   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,594   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >, {anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,595   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,596   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,596   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,597   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,598   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,599   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,599   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,600   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-28T17:37:39,601     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-28T17:37:39,601         |                                                           ^~~~~
2024-04-28T17:37:39,602   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-28T17:37:39,641   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-28T17:37:39,642   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::abs(const batch<T, A>&) [with T = double; A = neon]’:
2024-04-28T17:37:39,642   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1948:62:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,643   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,644   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,645   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,646   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,646   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,647   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,648   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,648   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,649   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,650   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,651   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,651   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:59:30: error: no matching function for call to ‘abs<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,652      59 |         return kernel::abs<A>(x, A {});
2024-04-28T17:37:39,653         |                ~~~~~~~~~~~~~~^~~~~~~~~
2024-04-28T17:37:39,653   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:18:
2024-04-28T17:37:39,654   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:30:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::abs(const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-28T17:37:39,655      30 |         inline batch<T, A> abs(batch<T, A> const& self, requires_arch<generic>) noexcept
2024-04-28T17:37:39,655         |                            ^~~
2024-04-28T17:37:39,656   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:30:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,657   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:24:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-28T17:37:39,657      24 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-28T17:37:39,658         |                                     ^~~~~
2024-04-28T17:37:39,659   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1333:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::abs(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,659    1333 |         inline batch<T, A> abs(batch<T, A> const& arg, requires_arch<neon>) noexcept
2024-04-28T17:37:39,660         |                            ^~~
2024-04-28T17:37:39,661   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1333:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,661   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1332:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,662    1332 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T17:37:39,662         |                                                                       ^
2024-04-28T17:37:39,663   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:43:28: note: candidate: ‘template<class A, class T> xsimd::batch<T, A> xsimd::kernel::abs(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>)’
2024-04-28T17:37:39,663      43 |         inline batch<T, A> abs(batch<std::complex<T>, A> const& z, requires_arch<generic>) noexcept
2024-04-28T17:37:39,664         |                            ^~~
2024-04-28T17:37:39,664   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:43:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,665   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:59:30: note:   mismatched types ‘std::complex<_Up>’ and ‘double’
2024-04-28T17:37:39,666      59 |         return kernel::abs<A>(x, A {});
2024-04-28T17:37:39,666         |                ~~~~~~~~~~~~~~^~~~~~~~~
2024-04-28T17:37:39,667   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::select(const batch_bool<T, A>&, const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’:
2024-04-28T17:37:39,668   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1948:35:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,668   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,669   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,672   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,673   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,674   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,674   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,675   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,676   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,677   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1965:33: error: no matching function for call to ‘select<xsimd::neon>(const xsimd::batch_bool<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,677    1965 |         return kernel::select<A>(cond, true_br, false_br, A {});
2024-04-28T17:37:39,678         |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,678   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1691:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::select(const xsimd::batch_bool<T, A>&, const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,679    1691 |         inline batch<T, A> select(batch_bool<T, A> const& cond, batch<T, A> const& a, batch<T, A> const& b, requires_arch<neon>) noexcept
2024-04-28T17:37:39,679         |                            ^~~~~~
2024-04-28T17:37:39,681   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1691:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,681   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1690:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,682    1690 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T17:37:39,683         |                                                                     ^
2024-04-28T17:37:39,684   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1704:28: note: candidate: ‘template<class A, class T, bool ...b, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::select(const xsimd::batch_bool_constant<xsimd::batch<T, A>, b ...>&, const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,684    1704 |         inline batch<T, A> select(batch_bool_constant<batch<T, A>, b...> const&, batch<T, A> const& true_br, batch<T, A> const& false_br, requires_arch<neon>) noexcept
2024-04-28T17:37:39,685         |                            ^~~~~~
2024-04-28T17:37:39,685   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1704:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,686   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1965:33: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool_constant<xsimd::batch<V, xsimd::neon>, b ...>’
2024-04-28T17:37:39,687    1965 |         return kernel::select<A>(cond, true_br, false_br, A {});
2024-04-28T17:37:39,688         |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,688   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:2054:42: note: candidate: ‘template<class A, class T> xsimd::batch<std::complex<_Up>, A> xsimd::kernel::select(const xsimd::batch_bool<T, A>&, const xsimd::batch<std::complex<_Up>, A>&, const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>)’
2024-04-28T17:37:39,689    2054 |         inline batch<std::complex<T>, A> select(batch_bool<T, A> const& cond, batch<std::complex<T>, A> const& true_br, batch<std::complex<T>, A> const& false_br, requires_arch<generic>) noexcept
2024-04-28T17:37:39,690         |                                          ^~~~~~
2024-04-28T17:37:39,690   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:2054:42: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,691   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1965:33: note:   mismatched types ‘std::complex<_Up>’ and ‘double’
2024-04-28T17:37:39,691    1965 |         return kernel::select<A>(cond, true_br, false_br, A {});
2024-04-28T17:37:39,692         |                ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,693   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::batch<T, A>::operator-() const [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,693   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1951:47:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,694   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,695   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,695   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,696   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,697   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,698   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,700   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,701   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,702   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,703   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:908:30: error: no matching function for call to ‘neg<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,703     908 |         return kernel::neg<A>(*this, A {});
2024-04-28T17:37:39,703         |                ~~~~~~~~~~~~~~^~~~~~~~~~~~~
2024-04-28T17:37:39,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,704     675 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,705         |                            ^~~
2024-04-28T17:37:39,705   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,706   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:674:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,706     674 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-28T17:37:39,707         |                                                                             ^
2024-04-28T17:37:39,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,709     681 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,709         |                            ^~~
2024-04-28T17:37:39,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,711   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:680:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,711     680 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-28T17:37:39,712         |                                                                           ^
2024-04-28T17:37:39,713   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,713     687 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,714         |                            ^~~
2024-04-28T17:37:39,715   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,716   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:686:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,716     686 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-28T17:37:39,717         |                                                                             ^
2024-04-28T17:37:39,717   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,718     693 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,718         |                            ^~~
2024-04-28T17:37:39,719   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,719   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:692:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,720     692 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-28T17:37:39,720         |                                                                           ^
2024-04-28T17:37:39,721   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,722     699 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,722         |                            ^~~
2024-04-28T17:37:39,723   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,724   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:698:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,724     698 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-28T17:37:39,725         |                                                                             ^
2024-04-28T17:37:39,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,727     705 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,727         |                            ^~~
2024-04-28T17:37:39,728   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,729   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:704:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,729     704 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-28T17:37:39,731         |                                                                           ^
2024-04-28T17:37:39,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,732     711 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,732         |                            ^~~
2024-04-28T17:37:39,733   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,733   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:710:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,734     710 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-28T17:37:39,734         |                                                                             ^
2024-04-28T17:37:39,735   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,735     717 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,736         |                            ^~~
2024-04-28T17:37:39,736   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:716:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,738     716 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-28T17:37:39,739         |                                                                           ^
2024-04-28T17:37:39,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::neg(const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-28T17:37:39,740     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,741         |                                ^~~
2024-04-28T17:37:39,741   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:59: note:   no known conversion for argument 1 from ‘const xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-28T17:37:39,742     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,743         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-28T17:37:39,748   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::details::lt(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,749   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:187:37:   required from ‘xsimd::batch_bool<double, xsimd::neon> xsimd::operator<(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T17:37:39,750   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1945:30:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,751   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,751   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,752   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,753   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,753   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,754   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,755   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,756   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,756   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,757   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,758   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:758:33: error: no matching function for call to ‘lt<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,758     758 |             return kernel::lt<A>(self, other, A {});
2024-04-28T17:37:39,759         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,759   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:936:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::lt(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,760     936 |         inline batch_bool<T, A> lt(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,760         |                                 ^~
2024-04-28T17:37:39,761   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:936:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,762   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:935:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,763     935 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T17:37:39,763         |                                                                       ^
2024-04-28T17:37:39,764   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:947:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::lt(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,764     947 |         inline batch_bool<T, A> lt(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,765         |                                 ^~
2024-04-28T17:37:39,766   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:947:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,766   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:946:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,767     946 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T17:37:39,768         |                                                                             ^
2024-04-28T17:37:39,769   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::details::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,769   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:167:37:   required from ‘xsimd::batch_bool<double, xsimd::neon> xsimd::operator==(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-28T17:37:39,770   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1946:32:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,770   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,771   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,771   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,772   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,772   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,773   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,774   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,774   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,775   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,776   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,777   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:708:33: error: no matching function for call to ‘eq<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,777     708 |             return kernel::eq<A>(self, other, A {});
2024-04-28T17:37:39,778         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,779   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,780     863 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,780         |                                 ^~
2024-04-28T17:37:39,781   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,782   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:862:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,782     862 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T17:37:39,783         |                                                                       ^
2024-04-28T17:37:39,784   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,784     874 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,785         |                                 ^~
2024-04-28T17:37:39,786   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,786   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:708:33: note:   ‘const xsimd::batch<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool<T, xsimd::neon>’
2024-04-28T17:37:39,787     708 |             return kernel::eq<A>(self, other, A {});
2024-04-28T17:37:39,787         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,788   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,788     885 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,789         |                                 ^~
2024-04-28T17:37:39,789   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,790   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:884:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,790     884 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T17:37:39,791         |                                                                             ^
2024-04-28T17:37:39,791   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,792     891 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,793         |                                 ^~
2024-04-28T17:37:39,794   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,794   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:708:33: note:   ‘const xsimd::batch<double, xsimd::neon>’ is not derived from ‘const xsimd::batch_bool<T, xsimd::neon>’
2024-04-28T17:37:39,795     708 |             return kernel::eq<A>(self, other, A {});
2024-04-28T17:37:39,795         |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,802   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator&(const xsimd::batch_bool<T, A>&) const [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,803   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1065:16:   required from ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator&&(const xsimd::batch_bool<T, A>&) const [with T = double; A = xsimd::neon]’
2024-04-28T17:37:39,804   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1951:38:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,809   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,810   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,810   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,811   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,811   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,812   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,813   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,814   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,814   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,815   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,816   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1047:38: error: no matching function for call to ‘bitwise_and<xsimd::neon>(const xsimd::batch_bool<double, xsimd::neon>&, const xsimd::batch_bool<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,817    1047 |         return kernel::bitwise_and<A>(*this, other, A {}).data;
2024-04-28T17:37:39,817         |                ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,818   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1062:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::bitwise_and(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,818    1062 |         inline batch<T, A> bitwise_and(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,819         |                            ^~~~~~~~~~~
2024-04-28T17:37:39,820   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1062:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,820   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1047:38: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch<V, xsimd::neon>’
2024-04-28T17:37:39,821    1047 |         return kernel::bitwise_and<A>(*this, other, A {}).data;
2024-04-28T17:37:39,822         |                ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,823   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1069:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::bitwise_and(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,823    1069 |         inline batch_bool<T, A> bitwise_and(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,824         |                                 ^~~~~~~~~~~
2024-04-28T17:37:39,825   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1069:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,825   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1068:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,826    1068 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T17:37:39,827         |                                                                     ^
2024-04-28T17:37:39,827   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator|(const xsimd::batch_bool<T, A>&) const [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,828   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1071:16:   required from ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator||(const xsimd::batch_bool<T, A>&) const [with T = double; A = xsimd::neon]’
2024-04-28T17:37:39,829   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1952:54:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,829   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,830   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,830   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,831   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,832   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,832   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,833   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,834   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,835   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,836   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,836   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1053:37: error: no matching function for call to ‘bitwise_or<xsimd::neon>(const xsimd::batch_bool<double, xsimd::neon>&, const xsimd::batch_bool<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,837    1053 |         return kernel::bitwise_or<A>(*this, other, A {}).data;
2024-04-28T17:37:39,837         |                ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,838   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1102:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::bitwise_or(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,838    1102 |         inline batch<T, A> bitwise_or(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,839         |                            ^~~~~~~~~~
2024-04-28T17:37:39,840   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1102:28: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,840   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1053:37: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch<V, xsimd::neon>’
2024-04-28T17:37:39,841    1053 |         return kernel::bitwise_or<A>(*this, other, A {}).data;
2024-04-28T17:37:39,842         |                ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,842   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1109:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::bitwise_or(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,843    1109 |         inline batch_bool<T, A> bitwise_or(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,844         |                                 ^~~~~~~~~~
2024-04-28T17:37:39,844   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1109:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,845   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1108:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,846    1108 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-28T17:37:39,847         |                                                                     ^
2024-04-28T17:37:39,847   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator==(const xsimd::batch_bool<T, A>&) const [with T = double; A = xsimd::neon]’:
2024-04-28T17:37:39,848   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1041:16:   required from ‘xsimd::batch_bool<T, A> xsimd::batch_bool<T, A>::operator!() const [with T = double; A = xsimd::neon]’
2024-04-28T17:37:39,848   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:1952:36:   required from ‘xsimd::batch<T, A> xsimd::kernel::pow(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-28T17:37:39,849   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1666:30:   required from ‘xsimd::batch<T, A> xsimd::pow(const batch<T, A>&, const batch<T, A>&) [with T = double; A = neon]’
2024-04-28T17:37:39,849   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::power::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::pow((forward<T>)(<unnamed>::pythonic::numpy::functor::power::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-28T17:37:39,850   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::numpy::functor::power; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-28T17:37:39,850   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-28T17:37:39,851   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:148:70:   required from ‘{anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> {anonymous}::pythonic::numpy::reduce_helper<Op, E, true>::operator()(const E&, T) const [with T = double; Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type<Op, E> = double]’
2024-04-28T17:37:39,852   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/reduce.hpp:181:51:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::pythonic::numpy::{anonymous}::reduce_result_type_helper<Op, E, T>::type>::type {anonymous}::pythonic::numpy::reduce(const E&, {anonymous}::pythonic::types::none_type, dtype) [with Op = {anonymous}::pythonic::operator_::functor::iadd; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >; dtype = {anonymous}::pythonic::types::none_type; typename std::enable_if<{anonymous}::pythonic::types::is_numexpr_arg<E>::value, typename {anonymous}::reduce_result_type_helper<Op, E, T>::type>::type = double; typename {anonymous}::reduce_result_type_helper<Op, E, T>::type = double]’
2024-04-28T17:37:39,852   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:17:44:   required from ‘decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) {anonymous}::pythonic::numpy::sum(Args&& ...) [with Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype (reduce<{anonymous}::pythonic::operator_::functor::iadd>((forward<Args>)(<unnamed>::pythonic::numpy::sum::args)...)) = double]’
2024-04-28T17:37:39,853   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/sum.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) {anonymous}::pythonic::numpy::functor::sum::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::power, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> > >}; decltype ({anonymous}::pythonic::numpy::sum((forward<Types>)(<unnamed>::pythonic::numpy::functor::sum::operator()::types)...)) = double]’
2024-04-28T17:37:39,854   fluidsim/base/output/__pythran__/increments.cpp:181:307:   required from ‘typename {anonymous}::__pythran_increments::strfunc_from_pdf::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_increments::strfunc_from_pdf::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<long int, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = double; argument_type4 = bool; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 1, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-28T17:37:39,855   fluidsim/base/output/__pythran__/increments.cpp:197:84:   required from here
2024-04-28T17:37:39,855   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1019:29: error: no matching function for call to ‘eq<xsimd::neon>(const xsimd::batch_bool<double, xsimd::neon>&, const xsimd::batch_bool<double, xsimd::neon>&, xsimd::neon)’
2024-04-28T17:37:39,856    1019 |         return kernel::eq<A>(*this, other, A {}).data;
2024-04-28T17:37:39,856         |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,857   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,858     863 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,858         |                                 ^~
2024-04-28T17:37:39,859   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:863:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,860   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1019:29: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch<V, xsimd::neon>’
2024-04-28T17:37:39,860    1019 |         return kernel::eq<A>(*this, other, A {}).data;
2024-04-28T17:37:39,861         |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,861   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,862     874 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,862         |                                 ^~
2024-04-28T17:37:39,863   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:874:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,864   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:873:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,864     873 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-28T17:37:39,864         |                                                                       ^
2024-04-28T17:37:39,865   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,865     885 |         inline batch_bool<T, A> eq(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,866         |                                 ^~
2024-04-28T17:37:39,866   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:885:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,867   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1019:29: note:   ‘const xsimd::batch_bool<double, xsimd::neon>’ is not derived from ‘const xsimd::batch<V, xsimd::neon>’
2024-04-28T17:37:39,867    1019 |         return kernel::eq<A>(*this, other, A {}).data;
2024-04-28T17:37:39,868         |                ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-28T17:37:39,868   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch_bool<T, A> xsimd::kernel::eq(const xsimd::batch_bool<T, A>&, const xsimd::batch_bool<T, A>&, requires_arch<xsimd::neon>)’
2024-04-28T17:37:39,869     891 |         inline batch_bool<T, A> eq(batch_bool<T, A> const& lhs, batch_bool<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-28T17:37:39,869         |                                 ^~
2024-04-28T17:37:39,870   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:891:33: note:   template argument deduction/substitution failed:
2024-04-28T17:37:39,871   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:890:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-28T17:37:39,871     890 |         template <class A, class T, detail::enable_sized_integral_t<T, 8> = 0>
2024-04-28T17:37:39,872         |                                                                             ^
2024-04-29T00:31:05,156   virtual memory exhausted: Cannot allocate memory
2024-04-29T00:31:06,619   INFO: Generated C++ source file: fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:31:06,620   Generated C++ source file: fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:31:06,626   building 'fluidsim.base.output.__pythran__.spatiotemporal_spectra' extension
2024-04-29T00:31:06,627   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:31:06,629   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:31:06,629   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:31:06,630   INFO: arm-linux-gnueabihf-gcc: fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:31:29,236   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/dynamic_tuple.hpp:11,
2024-04-29T00:31:29,237                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/tuple.hpp:7,
2024-04-29T00:31:29,237                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:6,
2024-04-29T00:31:29,238                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:31:29,238                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:31:29,238                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:31:29,239                    from fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:1:
2024-04-29T00:31:29,240   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:29,240       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:29,241       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:29,242       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double>::result_type find_index_first_geq0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:375:100,
2024-04-29T00:31:29,242       inlined from ‘PyObject* __pythran_wrap_find_index_first_geq0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:508:47,
2024-04-29T00:31:29,243       inlined from ‘__pythran_wrapall_find_index_first_geq(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:599:56,
2024-04-29T00:31:29,244       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_find_index_first_geq(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:29,245       inlined from ‘PyObject* __pythran_wrapall_find_index_first_geq(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:596:57:
2024-04-29T00:31:29,245   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:140:23: warning: pointer used after ‘void operator delete(void*)’ [-Wuse-after-free]
2024-04-29T00:31:29,246     140 |     if (mem && --mem->count == 0) {
2024-04-29T00:31:29,247         |                  ~~~~~^~~~~
2024-04-29T00:31:29,248   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:29,248       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:29,248       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:29,249       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > >::~enumerate()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:46:12,
2024-04-29T00:31:29,249       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = double]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:212:9,
2024-04-29T00:31:29,250       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double>::result_type find_index_first_geq0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:375:100,
2024-04-29T00:31:29,251       inlined from ‘PyObject* __pythran_wrap_find_index_first_geq0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:508:47,
2024-04-29T00:31:29,251       inlined from ‘__pythran_wrapall_find_index_first_geq(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:599:56,
2024-04-29T00:31:29,252       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_find_index_first_geq(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:29,253       inlined from ‘PyObject* __pythran_wrapall_find_index_first_geq(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:596:57:
2024-04-29T00:31:29,253   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:146:7: note: call to ‘void operator delete(void*)’ here
2024-04-29T00:31:29,254     146 |       delete mem;
2024-04-29T00:31:29,254         |       ^~~~~~~~~~
2024-04-29T00:31:29,634   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:29,635       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:29,635       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:29,636       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double>::result_type find_index_first_g0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:343:98,
2024-04-29T00:31:29,637       inlined from ‘PyObject* __pythran_wrap_find_index_first_g0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:476:45,
2024-04-29T00:31:29,637       inlined from ‘__pythran_wrapall_find_index_first_g(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:578:54,
2024-04-29T00:31:29,638       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_find_index_first_g(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:29,638       inlined from ‘PyObject* __pythran_wrapall_find_index_first_g(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:575:57:
2024-04-29T00:31:29,639   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:140:23: warning: pointer used after ‘void operator delete(void*)’ [-Wuse-after-free]
2024-04-29T00:31:29,639     140 |     if (mem && --mem->count == 0) {
2024-04-29T00:31:29,640         |                  ~~~~~^~~~~
2024-04-29T00:31:29,640   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:29,641       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:29,642       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:29,642       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > >::~enumerate()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:46:12,
2024-04-29T00:31:29,643       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = double]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:196:9,
2024-04-29T00:31:29,643       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double>::result_type find_index_first_g0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:343:98,
2024-04-29T00:31:29,644       inlined from ‘PyObject* __pythran_wrap_find_index_first_g0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:476:45,
2024-04-29T00:31:29,645       inlined from ‘__pythran_wrapall_find_index_first_g(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:578:54,
2024-04-29T00:31:29,645       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_find_index_first_g(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:29,646       inlined from ‘PyObject* __pythran_wrapall_find_index_first_g(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:575:57:
2024-04-29T00:31:29,647   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:146:7: note: call to ‘void operator delete(void*)’ here
2024-04-29T00:31:29,647     146 |       delete mem;
2024-04-29T00:31:29,648         |       ^~~~~~~~~~
2024-04-29T00:31:30,025   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:30,026       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,027       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,027       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::find_index_first_l::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double>::result_type find_index_first_l0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:311:98,
2024-04-29T00:31:30,028       inlined from ‘PyObject* __pythran_wrap_find_index_first_l0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:444:45,
2024-04-29T00:31:30,028       inlined from ‘__pythran_wrapall_find_index_first_l(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:557:54,
2024-04-29T00:31:30,029       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_find_index_first_l(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,030       inlined from ‘PyObject* __pythran_wrapall_find_index_first_l(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:554:57:
2024-04-29T00:31:30,031   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:140:23: warning: pointer used after ‘void operator delete(void*)’ [-Wuse-after-free]
2024-04-29T00:31:30,032     140 |     if (mem && --mem->count == 0) {
2024-04-29T00:31:30,032         |                  ~~~~~^~~~~
2024-04-29T00:31:30,033   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:30,034       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,034       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,035       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > >::~enumerate()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:46:12,
2024-04-29T00:31:30,036       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_l::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_l::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = double]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:180:9,
2024-04-29T00:31:30,037       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::find_index_first_l::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double>::result_type find_index_first_l0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:311:98,
2024-04-29T00:31:30,037       inlined from ‘PyObject* __pythran_wrap_find_index_first_l0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:444:45,
2024-04-29T00:31:30,038       inlined from ‘__pythran_wrapall_find_index_first_l(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:557:54,
2024-04-29T00:31:30,038       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_find_index_first_l(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,039       inlined from ‘PyObject* __pythran_wrapall_find_index_first_l(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:554:57:
2024-04-29T00:31:30,040   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:146:7: note: call to ‘void operator delete(void*)’ here
2024-04-29T00:31:30,041     146 |       delete mem;
2024-04-29T00:31:30,042         |       ^~~~~~~~~~
2024-04-29T00:31:30,582   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:30,583       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,584       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,585       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> > >::~enumerate()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:46:12,
2024-04-29T00:31:30,585       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; argument_type1 = double&]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:212:9,
2024-04-29T00:31:30,586       inlined from ‘decltype (forward<F>(f).operator()<{anonymous}::pythonic::types::by_val_t<Args>...>(static_cast<typename <unnamed>::pythonic::types::by_val<Args, std::is_integral<typename std::decay<Args>::type>::value>::type>(<unnamed>::pythonic::types::call::args) ...)) {anonymous}::pythonic::types::call(F&&, Args&& ...) [with F = {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq; Args = {ndarray<double, pshape<long int> >&, double&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:45:69,
2024-04-29T00:31:30,587       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = double; argument_type2 = double]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:256:38,
2024-04-29T00:31:30,588       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double, double>::result_type get_arange_minmax0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:279:115,
2024-04-29T00:31:30,588       inlined from ‘PyObject* __pythran_wrap_get_arange_minmax0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:412:44,
2024-04-29T00:31:30,589       inlined from ‘__pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:536:53,
2024-04-29T00:31:30,590       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,591       inlined from ‘PyObject* __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:533:57:
2024-04-29T00:31:30,591   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:140:23: warning: pointer used after ‘void operator delete(void*)’ [-Wuse-after-free]
2024-04-29T00:31:30,592     140 |     if (mem && --mem->count == 0) {
2024-04-29T00:31:30,593         |                  ~~~~~^~~~~
2024-04-29T00:31:30,593   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<double>]’,
2024-04-29T00:31:30,594       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<double>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,595       inlined from ‘{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,596       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<typename std::remove_cv<typename std::remove_reference<_Tp>::type>::type> {anonymous}::pythonic::builtins::enumerate(Iterable&&, long int) [with Iterable = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/enumerate.hpp:112:47,
2024-04-29T00:31:30,596       inlined from ‘decltype ({anonymous}::pythonic::builtins::enumerate((forward<Types>)(<unnamed>::pythonic::builtins::functor::enumerate::operator()::types)...)) {anonymous}::pythonic::builtins::functor::enumerate::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:71:3,
2024-04-29T00:31:30,597       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&; argument_type1 = double&]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:212:9,
2024-04-29T00:31:30,598       inlined from ‘decltype (forward<F>(f).operator()<{anonymous}::pythonic::types::by_val_t<Args>...>(static_cast<typename <unnamed>::pythonic::types::by_val<Args, std::is_integral<typename std::decay<Args>::type>::value>::type>(<unnamed>::pythonic::types::call::args) ...)) {anonymous}::pythonic::types::call(F&&, Args&& ...) [with F = {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq; Args = {ndarray<double, pshape<long int> >&, double&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:45:69,
2024-04-29T00:31:30,598       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = double; argument_type2 = double]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:256:38,
2024-04-29T00:31:30,599       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >, double, double>::result_type get_arange_minmax0({anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >&&, double&&, double&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:279:115,
2024-04-29T00:31:30,600       inlined from ‘PyObject* __pythran_wrap_get_arange_minmax0(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:412:44,
2024-04-29T00:31:30,600       inlined from ‘__pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:536:53,
2024-04-29T00:31:30,601       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,602       inlined from ‘PyObject* __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:533:57:
2024-04-29T00:31:30,602   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:146:7: note: call to ‘void operator delete(void*)’ here
2024-04-29T00:31:30,603     146 |       delete mem;
2024-04-29T00:31:30,603         |       ^~~~~~~~~~
2024-04-29T00:31:30,604   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<float>]’,
2024-04-29T00:31:30,605       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<float>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,606       inlined from ‘{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,606       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> > >::~enumerate()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:46:12,
2024-04-29T00:31:30,607       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&; argument_type1 = float&]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:212:9,
2024-04-29T00:31:30,608       inlined from ‘decltype (forward<F>(f).operator()<{anonymous}::pythonic::types::by_val_t<Args>...>(static_cast<typename <unnamed>::pythonic::types::by_val<Args, std::is_integral<typename std::decay<Args>::type>::value>::type>(<unnamed>::pythonic::types::call::args) ...)) {anonymous}::pythonic::types::call(F&&, Args&& ...) [with F = {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq; Args = {ndarray<float, pshape<long int> >&, float&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:45:69,
2024-04-29T00:31:30,608       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = float; argument_type2 = float]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:256:38,
2024-04-29T00:31:30,609       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >, float, float>::result_type get_arange_minmax1({anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&&, float&&, float&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:295:115,
2024-04-29T00:31:30,610       inlined from ‘PyObject* __pythran_wrap_get_arange_minmax1(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:428:44,
2024-04-29T00:31:30,610       inlined from ‘__pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:541:53,
2024-04-29T00:31:30,611       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,612       inlined from ‘PyObject* __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:533:57:
2024-04-29T00:31:30,613   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:140:23: warning: pointer used after ‘void operator delete(void*)’ [-Wuse-after-free]
2024-04-29T00:31:30,613     140 |     if (mem && --mem->count == 0) {
2024-04-29T00:31:30,615         |                  ~~~~~^~~~~
2024-04-29T00:31:30,615   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<float>]’,
2024-04-29T00:31:30,616       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<float>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,617       inlined from ‘{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,617       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<typename std::remove_cv<typename std::remove_reference<_Tp>::type>::type> {anonymous}::pythonic::builtins::enumerate(Iterable&&, long int) [with Iterable = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/enumerate.hpp:112:47,
2024-04-29T00:31:30,618       inlined from ‘decltype ({anonymous}::pythonic::builtins::enumerate((forward<Types>)(<unnamed>::pythonic::builtins::functor::enumerate::operator()::types)...)) {anonymous}::pythonic::builtins::functor::enumerate::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:71:3,
2024-04-29T00:31:30,618       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&; argument_type1 = float&]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:212:9,
2024-04-29T00:31:30,619       inlined from ‘decltype (forward<F>(f).operator()<{anonymous}::pythonic::types::by_val_t<Args>...>(static_cast<typename <unnamed>::pythonic::types::by_val<Args, std::is_integral<typename std::decay<Args>::type>::value>::type>(<unnamed>::pythonic::types::call::args) ...)) {anonymous}::pythonic::types::call(F&&, Args&& ...) [with F = {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_geq; Args = {ndarray<float, pshape<long int> >&, float&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:45:69,
2024-04-29T00:31:30,620       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = float; argument_type2 = float]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:256:38,
2024-04-29T00:31:30,621       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >, float, float>::result_type get_arange_minmax1({anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&&, float&&, float&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:295:115,
2024-04-29T00:31:30,621       inlined from ‘PyObject* __pythran_wrap_get_arange_minmax1(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:428:44,
2024-04-29T00:31:30,622       inlined from ‘__pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:541:53,
2024-04-29T00:31:30,623       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,623       inlined from ‘PyObject* __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:533:57:
2024-04-29T00:31:30,624   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:146:7: note: call to ‘void operator delete(void*)’ here
2024-04-29T00:31:30,624     146 |       delete mem;
2024-04-29T00:31:30,625         |       ^~~~~~~~~~
2024-04-29T00:31:30,625   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<float>]’,
2024-04-29T00:31:30,626       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<float>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,626       inlined from ‘{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,627       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> > >::~enumerate()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:46:12,
2024-04-29T00:31:30,628       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&; argument_type1 = float&]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:196:9,
2024-04-29T00:31:30,628       inlined from ‘decltype (forward<F>(f).operator()<{anonymous}::pythonic::types::by_val_t<Args>...>(static_cast<typename <unnamed>::pythonic::types::by_val<Args, std::is_integral<typename std::decay<Args>::type>::value>::type>(<unnamed>::pythonic::types::call::args) ...)) {anonymous}::pythonic::types::call(F&&, Args&& ...) [with F = {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g; Args = {ndarray<float, pshape<long int> >&, float&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:45:69,
2024-04-29T00:31:30,629       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = float; argument_type2 = float]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:264:37,
2024-04-29T00:31:30,630       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >, float, float>::result_type get_arange_minmax1({anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&&, float&&, float&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:295:115,
2024-04-29T00:31:30,630       inlined from ‘PyObject* __pythran_wrap_get_arange_minmax1(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:428:44,
2024-04-29T00:31:30,631       inlined from ‘__pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:541:53,
2024-04-29T00:31:30,632       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,633       inlined from ‘PyObject* __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:533:57:
2024-04-29T00:31:30,634   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:140:23: warning: pointer used after ‘void operator delete(void*)’ [-Wuse-after-free]
2024-04-29T00:31:30,635     140 |     if (mem && --mem->count == 0) {
2024-04-29T00:31:30,635         |                  ~~~~~^~~~~
2024-04-29T00:31:30,636   In member function ‘void {anonymous}::pythonic::utils::shared_ref<T>::dispose() [with T = {anonymous}::pythonic::types::raw_array<float>]’,
2024-04-29T00:31:30,637       inlined from ‘{anonymous}::pythonic::utils::shared_ref<T>::~shared_ref() [with T = {anonymous}::pythonic::types::raw_array<float>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:80:12,
2024-04-29T00:31:30,637       inlined from ‘{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >::~ndarray()’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/ndarray.hpp:217:10,
2024-04-29T00:31:30,638       inlined from ‘{anonymous}::pythonic::builtins::details::enumerate<typename std::remove_cv<typename std::remove_reference<_Tp>::type>::type> {anonymous}::pythonic::builtins::enumerate(Iterable&&, long int) [with Iterable = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/enumerate.hpp:112:47,
2024-04-29T00:31:30,638       inlined from ‘decltype ({anonymous}::pythonic::builtins::enumerate((forward<Types>)(<unnamed>::pythonic::builtins::functor::enumerate::operator()::types)...)) {anonymous}::pythonic::builtins::functor::enumerate::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/enumerate.hpp:71:3,
2024-04-29T00:31:30,639       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&; argument_type1 = float&]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:196:9,
2024-04-29T00:31:30,640       inlined from ‘decltype (forward<F>(f).operator()<{anonymous}::pythonic::types::by_val_t<Args>...>(static_cast<typename <unnamed>::pythonic::types::by_val<Args, std::is_integral<typename std::decay<Args>::type>::value>::type>(<unnamed>::pythonic::types::call::args) ...)) {anonymous}::pythonic::types::call(F&&, Args&& ...) [with F = {anonymous}::__pythran_spatiotemporal_spectra::find_index_first_g; Args = {ndarray<float, pshape<long int> >&, float&}]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/assignable.hpp:45:69,
2024-04-29T00:31:30,640       inlined from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >; argument_type1 = float; argument_type2 = float]’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:264:37,
2024-04-29T00:31:30,641       inlined from ‘{anonymous}::__pythran_spatiotemporal_spectra::get_arange_minmax::type<{anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >, float, float>::result_type get_arange_minmax1({anonymous}::pythonic::types::ndarray<float, {anonymous}::pythonic::types::pshape<long int> >&&, float&&, float&&)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:295:115,
2024-04-29T00:31:30,642       inlined from ‘PyObject* __pythran_wrap_get_arange_minmax1(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:428:44,
2024-04-29T00:31:30,642       inlined from ‘__pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:541:53,
2024-04-29T00:31:30,643       inlined from ‘PyObject* {anonymous}::pythonic::handle_python_exception(F&&) [with F = __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)::<lambda()>]’ at /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/python/exception_handler.hpp:17:13,
2024-04-29T00:31:30,643       inlined from ‘PyObject* __pythran_wrapall_get_arange_minmax(PyObject*, PyObject*, PyObject*)’ at fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpp:533:57:
2024-04-29T00:31:30,644   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/shared_ref.hpp:146:7: note: call to ‘void operator delete(void*)’ here
2024-04-29T00:31:30,644     146 |       delete mem;
2024-04-29T00:31:30,645         |       ^~~~~~~~~~
2024-04-29T00:31:31,760   At global scope:
2024-04-29T00:31:31,761   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:31:32,770   creating build/lib.linux-armv7l-cpython-311/fluidsim/base/output/__pythran__
2024-04-29T00:31:32,771   INFO: arm-linux-gnueabihf-g++ -shared -Wl,-O1 -Wl,-Bsymbolic-functions -g -fwrapv -O2 build/temp.linux-armv7l-cpython-311/fluidsim/base/output/__pythran__/spatiotemporal_spectra.o -L/usr/lib/arm-linux-gnueabihf -L/usr/lib/arm-linux-gnueabihf -lblas -lblas -o build/lib.linux-armv7l-cpython-311/fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpython-311-arm-linux-gnueabihf.so -fvisibility=hidden -Wl,-strip-all
2024-04-29T00:31:33,250   INFO: Generated C++ source file: fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp
2024-04-29T00:31:33,251   Generated C++ source file: fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp
2024-04-29T00:31:33,254   building 'fluidsim.solvers.ns3d.forcing.__pythran__.watu' extension
2024-04-29T00:31:33,255   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:31:33,256   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers
2024-04-29T00:31:33,256   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d
2024-04-29T00:31:33,257   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing
2024-04-29T00:31:33,257   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing/__pythran__
2024-04-29T00:31:33,258   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:31:33,259   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:31:33,259   INFO: arm-linux-gnueabihf-gcc: fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp
2024-04-29T00:31:43,940   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:31:43,941                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:31:43,941                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:31:43,942                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:31:43,943                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:31:43,943                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:31:43,944                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:31:43,945                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:31:43,945                    from fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:1:
2024-04-29T00:31:43,946   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:43,947   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = double; dtype = double]’
2024-04-29T00:31:43,947   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = double; T = double; B = double]’
2024-04-29T00:31:43,948   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = double&; E1 = ndarray<double, pshape<long int, long int, long int> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int, long int> >&>; typename adapt_type<E0, E1>::type = broadcast<double, double>; typename adapt_type<E1, E0>::type = ndarray<double, pshape<long int, long int, long int> >&; typename std::decay<_Tp>::type = double; typename std::decay<_Tp2>::type = std::decay<ndarray<double, pshape<long int, long int, long int> >&>::type]’
2024-04-29T00:31:43,949   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = double&; B = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>]’
2024-04-29T00:31:43,950   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:68:96:   required from ‘typename {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = double; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = double; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:43,950   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:82:101:   required from here
2024-04-29T00:31:43,951   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:31:43,952     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:31:43,952         |                                                                     ^
2024-04-29T00:31:43,953   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:31:43,954                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:31:43,954                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:31:43,955                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:31:43,956                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:31:43,957                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:31:43,957                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:31:43,958                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:31:43,959                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:31:43,960                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:31:43,960   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:31:43,961      27 |         struct simd_register
2024-04-29T00:31:43,961         |                ^~~~~~~~~~~~~
2024-04-29T00:31:43,962   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:31:43,962   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:31:43,963   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:31:43,963   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:31:43,964   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:31:45,247   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-29T00:31:45,247                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:31:45,248   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:31:45,249   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:31:45,250   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = double]’
2024-04-29T00:31:45,250   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:45,251   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:45,252   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; unsigned int N = 1; unsigned int D = 0]’
2024-04-29T00:31:45,253   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:45,254   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,255   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,255   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:45,256   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:45,257   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:68:41:   required from ‘typename {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = double; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = double; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:45,257   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:82:101:   required from here
2024-04-29T00:31:45,258   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:45,259     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:31:45,260         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:31:45,260   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,261     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,262         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,263   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,263   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,264     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:31:45,264         |                                                                             ^
2024-04-29T00:31:45,265   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,265     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,266         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,266   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,267   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,268     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:31:45,268         |                                                                           ^
2024-04-29T00:31:45,269   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,270     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,271         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,271   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,272   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,273     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:31:45,273         |                                                                             ^
2024-04-29T00:31:45,274   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,275     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,276         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,277   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,277   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,278     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:31:45,278         |                                                                           ^
2024-04-29T00:31:45,279   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,280     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,280         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,281   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,281   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,282     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:31:45,283         |                                                                             ^
2024-04-29T00:31:45,283   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,284     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,285         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,286   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,287   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,288     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:31:45,288         |                                                                           ^
2024-04-29T00:31:45,289   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,290     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,290         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,291   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,292   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,293     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:31:45,294         |                                                                             ^
2024-04-29T00:31:45,294   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,295     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,296         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,296   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,297   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,297     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:31:45,298         |                                                                           ^
2024-04-29T00:31:45,298   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:31:45,299     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,300         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:45,301   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:31:45,302     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:45,302         |                                   ~~~~~~~^~~
2024-04-29T00:31:45,303   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:31:45,304   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:31:45,305    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:31:45,305         |                 ^~~~~~~~~~~~~
2024-04-29T00:31:45,306   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:31:45,618   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:45,619   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:31:45,620   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:31:45,621   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:31:45,621   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:31:45,622   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:31:45,623   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:45,624   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,625   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,626   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:45,627   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:45,627   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:68:41:   required from ‘typename {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = double; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = double; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:45,628   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:82:101:   required from here
2024-04-29T00:31:45,629   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:45,629     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:31:45,630         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:31:45,631   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15,
2024-04-29T00:31:45,631                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-29T00:31:45,632   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:31:45,633     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:31:45,633         |                            ^~~
2024-04-29T00:31:45,634   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,635   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:31:45,635   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:31:45,636      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:31:45,637         |                                     ^~~~~
2024-04-29T00:31:45,638   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,638     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:45,639         |                            ^~~
2024-04-29T00:31:45,640   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,640   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,641     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:31:45,641         |                                                                       ^
2024-04-29T00:31:45,703   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19:
2024-04-29T00:31:45,703   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:31:45,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:45,705   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-29T00:31:45,705   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-29T00:31:45,706   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >&>&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:31:45,707   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >&>&>]’
2024-04-29T00:31:45,707   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:45,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,709   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:45,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:45,711   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:68:41:   required from ‘typename {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = double; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = double; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:45,712   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:82:101:   required from here
2024-04-29T00:31:45,713   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:31:45,713     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:31:45,714         |                                                           ^~~~~
2024-04-29T00:31:45,715   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:31:45,715   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator-=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:45,716   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:224:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator-(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:31:45,717   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/sub.hpp:17:31:   required from ‘decltype ((forward<A>(a) - forward<B>(b))) {anonymous}::pythonic::operator_::sub(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) - forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:31:45,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/sub.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) {anonymous}::pythonic::operator_::functor::sub::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:31:45,719   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:31:45,719   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:31:45,720   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:45,721   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,722   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:45,723   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:45,724   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:45,724   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:68:41:   required from ‘typename {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_watu::compute_watu_coriolis_forcing_component::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = double; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = double; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:45,725   fluidsim/solvers/ns3d/forcing/__pythran__/watu.cpp:82:101:   required from here
2024-04-29T00:31:45,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:777:38: error: no matching function for call to ‘sub<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:45,726     777 |         return *this = kernel::sub<A>(*this, other, A {});
2024-04-29T00:31:45,727         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:31:45,727   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::sub(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:45,729     773 |         inline batch<T, A> sub(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:45,730         |                            ^~~
2024-04-29T00:31:45,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:45,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:772:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:45,732     772 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:31:45,732         |                                                                     ^
2024-04-29T00:31:45,997   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:31:46,257   INFO: Generated C++ source file: fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp
2024-04-29T00:31:46,257   Generated C++ source file: fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp
2024-04-29T00:31:46,258   building 'fluidsim.solvers.ns3d.strat.__pythran__.solver' extension
2024-04-29T00:31:46,259   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:31:46,259   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat
2024-04-29T00:31:46,260   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/__pythran__
2024-04-29T00:31:46,261   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:31:46,261   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:31:46,262   INFO: arm-linux-gnueabihf-gcc: fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp
2024-04-29T00:31:56,820   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:31:56,821                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:31:56,822                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:31:56,823                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:31:56,823                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:31:56,824                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:31:56,825                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:31:56,825                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:31:56,826                    from fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:1:
2024-04-29T00:31:56,827   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:56,827   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1104:11:   required from ‘xsimd::batch<std::complex<_Tp>, A>::batch(const value_type&) [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:31:56,828   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = long int; dtype = std::complex<double>]’
2024-04-29T00:31:56,828   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = long int; T = std::complex<double>; B = long int]’
2024-04-29T00:31:56,829   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = long int; E1 = ndarray<std::complex<double>, pshape<long int, long int, long int> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<std::complex<double>, long int>, ndarray<std::complex<double>, pshape<long int, long int, long int> >&>; typename adapt_type<E0, E1>::type = broadcast<std::complex<double>, long int>; typename adapt_type<E1, E0>::type = ndarray<std::complex<double>, pshape<long int, long int, long int> >&; typename std::decay<_Tp>::type = long int; typename std::decay<_Tp2>::type = std::decay<ndarray<std::complex<double>, pshape<long int, long int, long int> >&>::type]’
2024-04-29T00:31:56,830   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = long int; B = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>]’
2024-04-29T00:31:56,831   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:137:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:56,831   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:56,833   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:31:56,833     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:31:56,834         |                                                                     ^
2024-04-29T00:31:56,834   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:31:56,835                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:31:56,836                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:31:56,836                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:31:56,837                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:31:56,838                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:31:56,839                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:31:56,839                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:31:56,840                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:31:56,841                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:31:56,842   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:31:56,842      27 |         struct simd_register
2024-04-29T00:31:56,843         |                ^~~~~~~~~~~~~
2024-04-29T00:31:56,844   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:31:56,844   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:31:56,845   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:31:56,846   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:31:56,847   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:31:58,343   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19,
2024-04-29T00:31:58,343                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120,
2024-04-29T00:31:58,344                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:31:58,344   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_high(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:31:58,345   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:620:49:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:58,346   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:31:58,346   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:31:58,347   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:58,348   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:58,349   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,350   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,351   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,351   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,353   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,353   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,354   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,355   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: error: static assertion failed: complex_high not implemented for the required architecture
2024-04-29T00:31:58,355     572 |                 static_assert(std::is_same<T, void>::value, "complex_high not implemented for the required architecture");
2024-04-29T00:31:58,356         |                                                      ^~~~~
2024-04-29T00:31:58,357   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:31:58,358   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:573:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:31:58,359     573 |             }
2024-04-29T00:31:58,359         |             ^
2024-04-29T00:31:58,360   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_low(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:31:58,361   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:621:48:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:58,361   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:31:58,362   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:31:58,362   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:58,363   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:58,364   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,365   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,366   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,366   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,367   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,369   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,369   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,370   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: error: static assertion failed: complex_low not implemented for the required architecture
2024-04-29T00:31:58,371     578 |                 static_assert(std::is_same<T, void>::value, "complex_low not implemented for the required architecture");
2024-04-29T00:31:58,371         |                                                      ^~~~~
2024-04-29T00:31:58,372   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:31:58,373   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:579:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:31:58,373     579 |             }
2024-04-29T00:31:58,374         |             ^
2024-04-29T00:31:58,459   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100:
2024-04-29T00:31:58,460   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:31:58,461   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:31:58,462   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:623:31:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:58,463   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:31:58,463   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:31:58,464   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:31:58,464   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,465   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,466   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,466   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,467   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,468   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,469   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,469   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:58,470     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:31:58,471         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:31:58,471   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,472     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,472         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,473   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,473   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,474     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:31:58,475         |                                                                             ^
2024-04-29T00:31:58,475   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,476     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,477         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,477   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,478   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,479     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:31:58,480         |                                                                           ^
2024-04-29T00:31:58,480   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,481     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,482         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,483   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,483   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,484     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:31:58,485         |                                                                             ^
2024-04-29T00:31:58,485   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,486     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,486         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,487   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,487   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,488     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:31:58,489         |                                                                           ^
2024-04-29T00:31:58,489   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,490     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,491         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,492   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,492   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,493     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:31:58,494         |                                                                             ^
2024-04-29T00:31:58,495   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,496     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,496         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,497   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,498   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,498     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:31:58,499         |                                                                           ^
2024-04-29T00:31:58,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,501     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,501         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,503     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:31:58,503         |                                                                             ^
2024-04-29T00:31:58,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,505     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,505         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,506   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,507   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,507     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:31:58,508         |                                                                           ^
2024-04-29T00:31:58,509   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:31:58,510     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,510         |                     ^~~~~~~~~~~~~
2024-04-29T00:31:58,511   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:31:58,512     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:31:58,512         |                                   ~~~~~~~^~~
2024-04-29T00:31:58,513   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:31:58,514   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:31:58,515    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:31:58,516         |                 ^~~~~~~~~~~~~
2024-04-29T00:31:58,516   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:31:58,543   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:494:
2024-04-29T00:31:58,544   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp: In instantiation of ‘struct xsimd::detail::static_check_supported_config_emitter<double, xsimd::neon>’:
2024-04-29T00:31:58,545   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:76:16:   required from ‘struct xsimd::detail::static_check_supported_config_emitter<std::complex<double>, xsimd::neon>’
2024-04-29T00:31:58,545   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:91:19:   required from ‘void xsimd::detail::static_check_supported_config() [with T = std::complex<double>; A = xsimd::neon]’
2024-04-29T00:31:58,546   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1369:55:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:31:58,546   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >&>&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,547   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >&>&>]’
2024-04-29T00:31:58,548   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,549   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,550   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,550   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,551   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,552   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,553   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,553   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: error: static assertion failed: usage of batch type with unsupported type
2024-04-29T00:31:58,554      71 |             static_assert(!A::supported() || xsimd::has_simd_register<T, A>::value,
2024-04-29T00:31:58,555         |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-29T00:31:58,556   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: note: ‘((! xsimd::neon::supported()) || ((bool)std::integral_constant<bool, false>::value))’ evaluates to false
2024-04-29T00:31:58,619   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator-=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:58,620   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1342:16:   required from ‘xsimd::batch<std::complex<_Tp>, A>& xsimd::batch<std::complex<_Tp>, A>::operator-=(const xsimd::batch<std::complex<_Tp>, A>&) [with T = double; A = xsimd::neon]’
2024-04-29T00:31:58,621   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:459:32:   required from ‘xsimd::batch<std::complex<double>, xsimd::neon> xsimd::operator-(const batch<std::complex<double>, neon>&, const batch<std::complex<double>, neon>&)’
2024-04-29T00:31:58,621   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/sub.hpp:17:31:   required from ‘decltype ((forward<A>(a) - forward<B>(b))) {anonymous}::pythonic::operator_::sub(A&&, B&&) [with A = xsimd::batch<std::complex<double>, xsimd::neon>; B = xsimd::batch<std::complex<double>, xsimd::neon>; decltype ((forward<A>(a) - forward<B>(b))) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,622   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/sub.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) {anonymous}::pythonic::operator_::functor::sub::operator()(Types&& ...) const [with Types = {xsimd::batch<std::complex<double>, xsimd::neon>, xsimd::batch<std::complex<double>, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,623   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<std::complex<double>, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<std::complex<double>, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:31:58,623   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,624   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,625   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,626   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,627   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,628   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,628   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,629   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:777:38: error: no matching function for call to ‘sub<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:58,630     777 |         return *this = kernel::sub<A>(*this, other, A {});
2024-04-29T00:31:58,631         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:31:58,631   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::sub(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,632     773 |         inline batch<T, A> sub(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,633         |                            ^~~
2024-04-29T00:31:58,633   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,634   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:772:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,635     772 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:31:58,635         |                                                                     ^
2024-04-29T00:31:58,642   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::detail::load_complex(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:31:58,642   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:600:40:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::load_complex_unaligned(const std::complex<T>*, convert<std::complex<_Up> >, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:58,643   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1300:49:   required from ‘xsimd::simd_return_type<std::complex<T>, To, A> xsimd::load_as(const std::complex<T>*, unaligned_mode) [with To = std::complex<double>; A = neon; From = double; simd_return_type<std::complex<T>, To, A> = batch<std::complex<double>, neon>]’
2024-04-29T00:31:58,644   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:31:58,645   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >&>&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,646   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >&>&>]’
2024-04-29T00:31:58,646   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,647   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,648   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,649   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,649   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,650   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,651   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,652   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: error: static assertion failed: load_complex not implemented for the required architecture
2024-04-29T00:31:58,652     566 |                 static_assert(std::is_same<T, void>::value, "load_complex not implemented for the required architecture");
2024-04-29T00:31:58,653         |                                                      ^~~~~
2024-04-29T00:31:58,653   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:31:58,654   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:567:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:31:58,655     567 |             }
2024-04-29T00:31:58,655         |             ^
2024-04-29T00:31:58,656   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::batch<T, A>::operator-() const [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:58,657   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1421:18:   required from ‘xsimd::batch<std::complex<_Tp>, A> xsimd::batch<std::complex<_Tp>, A>::operator-() const [with T = double; A = xsimd::neon]’
2024-04-29T00:31:58,658   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/neg.hpp:16:12:   required from ‘decltype (- forward<A>(a)) {anonymous}::pythonic::operator_::neg(A&&) [with A = xsimd::batch<std::complex<double>, xsimd::neon>; decltype (- forward<A>(a)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,659   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/neg.hpp:14:3:   required from ‘decltype ({anonymous}::pythonic::operator_::neg((forward<Types>)(<unnamed>::pythonic::operator_::functor::neg::operator()::types)...)) {anonymous}::pythonic::operator_::functor::neg::operator()(Types&& ...) const [with Types = {xsimd::batch<std::complex<double>, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::neg((forward<Types>)(<unnamed>::pythonic::operator_::functor::neg::operator()::types)...)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,659   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::neg; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<std::complex<double>, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-29T00:31:58,660   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::neg; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<std::complex<double>, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-29T00:31:58,661   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,662   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,663   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,664   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,664   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,665   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,666   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,667   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:908:30: error: no matching function for call to ‘neg<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:58,667     908 |         return kernel::neg<A>(*this, A {});
2024-04-29T00:31:58,668         |                ~~~~~~~~~~~~~~^~~~~~~~~~~~~
2024-04-29T00:31:58,669   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,669     675 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,670         |                            ^~~
2024-04-29T00:31:58,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:674:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,671     674 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:31:58,672         |                                                                             ^
2024-04-29T00:31:58,673   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,674     681 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,675         |                            ^~~
2024-04-29T00:31:58,675   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,676   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:680:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,677     680 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:31:58,678         |                                                                           ^
2024-04-29T00:31:58,678   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,679     687 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,680         |                            ^~~
2024-04-29T00:31:58,680   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,681   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:686:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,682     686 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:31:58,683         |                                                                             ^
2024-04-29T00:31:58,683   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,684     693 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,685         |                            ^~~
2024-04-29T00:31:58,685   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,686   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:692:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,686     692 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:31:58,687         |                                                                           ^
2024-04-29T00:31:58,688   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,689     699 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,690         |                            ^~~
2024-04-29T00:31:58,691   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,691   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:698:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,692     698 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:31:58,694         |                                                                             ^
2024-04-29T00:31:58,694   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,695     705 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,696         |                            ^~~
2024-04-29T00:31:58,697   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,698   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:704:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,699     704 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:31:58,700         |                                                                           ^
2024-04-29T00:31:58,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,701     711 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,702         |                            ^~~
2024-04-29T00:31:58,703   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:710:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,704     710 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:31:58,705         |                                                                             ^
2024-04-29T00:31:58,706   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,706     717 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,707         |                            ^~~
2024-04-29T00:31:58,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,709   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:716:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,709     716 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:31:58,710         |                                                                           ^
2024-04-29T00:31:58,711   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::neg(const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:31:58,712     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,712         |                                ^~~
2024-04-29T00:31:58,713   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:59: note:   no known conversion for argument 1 from ‘const xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-29T00:31:58,713     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,714         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-29T00:31:58,715   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:31:58,715   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:58,716   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:630:41:   required from ‘static xsimd::batch<T, A> xsimd::batch<T, A>::load_unaligned(const U*) [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:31:58,717   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:598:55:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::load_complex_unaligned(const std::complex<T>*, convert<std::complex<_Up> >, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:31:58,717   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1300:49:   required from ‘xsimd::simd_return_type<std::complex<T>, To, A> xsimd::load_as(const std::complex<T>*, unaligned_mode) [with To = std::complex<double>; A = neon; From = double; simd_return_type<std::complex<T>, To, A> = batch<std::complex<double>, neon>]’
2024-04-29T00:31:58,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:31:58,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,719   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,720   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,721   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:23:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,721   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,722   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,723   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,723   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:31:58,724     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:31:58,725         |                                                           ^~~~~
2024-04-29T00:31:58,725   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:31:58,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:58,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:31:58,727   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1350:38:   required from ‘xsimd::batch<std::complex<_Tp>, A>& xsimd::batch<std::complex<_Tp>, A>::operator*=(const xsimd::batch<std::complex<_Tp>, A>&) [with T = double; A = xsimd::neon]’
2024-04-29T00:31:58,728   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:465:32:   required from ‘xsimd::batch<std::complex<double>, xsimd::neon> xsimd::operator*(const batch<std::complex<double>, neon>&, const batch<std::complex<double>, neon>&)’
2024-04-29T00:31:58,729   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<std::complex<double>, xsimd::neon>; B = xsimd::batch<std::complex<double>, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,729   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<std::complex<double>, xsimd::neon>, xsimd::batch<std::complex<double>, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,730   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,730   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,732   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,733   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,733   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,734   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,735   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:58,735     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:31:58,736         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:31:58,736   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-29T00:31:58,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:31:58,738     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:31:58,739         |                            ^~~
2024-04-29T00:31:58,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,740   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:31:58,741   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:31:58,741      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:31:58,742         |                                     ^~~~~
2024-04-29T00:31:58,742   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,743     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,744         |                            ^~~
2024-04-29T00:31:58,744   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,745   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,746     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:31:58,747         |                                                                       ^
2024-04-29T00:31:58,747   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator+=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:31:58,748   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:218:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator+(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:31:58,749   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1351:53:   required from ‘xsimd::batch<std::complex<_Tp>, A>& xsimd::batch<std::complex<_Tp>, A>::operator*=(const xsimd::batch<std::complex<_Tp>, A>&) [with T = double; A = xsimd::neon]’
2024-04-29T00:31:58,750   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:465:32:   required from ‘xsimd::batch<std::complex<double>, xsimd::neon> xsimd::operator*(const batch<std::complex<double>, neon>&, const batch<std::complex<double>, neon>&)’
2024-04-29T00:31:58,750   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<std::complex<double>, xsimd::neon>; B = xsimd::batch<std::complex<double>, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,751   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<std::complex<double>, xsimd::neon>, xsimd::batch<std::complex<double>, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:31:58,752   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:31:58,753   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,753   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:31:58,754   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/numpy/copyto.hpp:30:53:   required from ‘{anonymous}::pythonic::types::none_type {anonymous}::pythonic::numpy::copyto({anonymous}::pythonic::types::ndarray<T, pS>&, const E&) [with T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >]’
2024-04-29T00:31:58,755   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/numpy/copyto.hpp:29:3:   required from ‘decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) {anonymous}::pythonic::numpy::functor::copyto::operator()(Types&& ...) const [with Types = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, long int>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; decltype ({anonymous}::pythonic::numpy::copyto((forward<Types>)(<unnamed>::pythonic::numpy::functor::copyto::operator()::types)...)) = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:31:58,756   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:81:41:   required from ‘typename {anonymous}::__pythran_solver::compute_fb_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_solver::compute_fb_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = long int; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:31:58,756   fluidsim/solvers/ns3d/strat/__pythran__/solver.cpp:95:78:   required from here
2024-04-29T00:31:58,757   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:770:38: error: no matching function for call to ‘add<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:31:58,758     770 |         return *this = kernel::add<A>(*this, other, A {});
2024-04-29T00:31:58,759         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:31:58,759   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::add(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:31:58,760     736 |         inline batch<T, A> add(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:31:58,761         |                            ^~~
2024-04-29T00:31:58,761   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note:   template argument deduction/substitution failed:
2024-04-29T00:31:58,762   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:735:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:31:58,763     735 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:31:58,764         |                                                                     ^
2024-04-29T00:31:58,986   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:32:00,362   INFO: Generated C++ source file: fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:32:00,362   Generated C++ source file: fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:32:00,363   building 'fluidsim.solvers.ns3d.output.__pythran__.spatiotemporal_spectra' extension
2024-04-29T00:32:00,363   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:32:00,364   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output
2024-04-29T00:32:00,365   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/__pythran__
2024-04-29T00:32:00,367   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:32:00,368   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:32:00,368   INFO: arm-linux-gnueabihf-gcc: fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:32:15,864   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:32:15,865                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:32:15,865                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:32:15,866                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:32:15,867                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:32:15,867                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:32:15,868                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:32:15,869                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:32:15,870                    from fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:1:
2024-04-29T00:32:15,870   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:15,871   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = long int; dtype = double]’
2024-04-29T00:32:15,872   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = long int; T = double; B = long int]’
2024-04-29T00:32:15,872   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = long int; E1 = numpy_gexpr<numpy_iexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int, long int> > > > >, cstride_normalized_slice<1> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, long int>, numpy_gexpr<numpy_iexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int, long int> > > > >, cstride_normalized_slice<1> >&>; typename adapt_type<E0, E1>::type = broadcast<double, long int>; typename adapt_type<E1, E0>::type = numpy_gexpr<numpy_iexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int, long int> > > > >, cstride_normalized_slice<1> >&; typename std::decay<_Tp>::type = long int; typename std::decay<_Tp2>::type = std::decay<numpy_gexpr<numpy_iexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int, long int> > > > >, cstride_normalized_slice<1> >&>::type]’
2024-04-29T00:32:15,873   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = long int; B = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>]’
2024-04-29T00:32:15,874   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:434:54:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:32:15,875   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:494:106:   required from here
2024-04-29T00:32:15,876   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:32:15,877     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:32:15,877         |                                                                     ^
2024-04-29T00:32:15,878   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:32:15,878                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:32:15,879                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:32:15,879                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:32:15,880                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:32:15,880                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:32:15,881                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:32:15,882                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:32:15,882                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:32:15,883                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:32:15,884   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:32:15,884      27 |         struct simd_register
2024-04-29T00:32:15,885         |                ^~~~~~~~~~~~~
2024-04-29T00:32:15,886   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:32:15,886   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:32:15,887   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:32:15,888   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:32:15,889   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:32:17,454   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-29T00:32:17,454                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:32:17,455   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:32:17,455   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:32:17,456   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >; typename E::dtype = double]’
2024-04-29T00:32:17,457   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>]’
2024-04-29T00:32:17,457   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>]’
2024-04-29T00:32:17,458   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; unsigned int D = 0]’
2024-04-29T00:32:17,459   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:32:17,460   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:32:17,461   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:463:79:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type {anonymous}::pythonic::types::numpy_gexpr<A, S>::_copy(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}; typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&]’
2024-04-29T00:32:17,461   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:488:17:   required from ‘{anonymous}::pythonic::types::numpy_gexpr<A, S ...>& {anonymous}::pythonic::types::numpy_gexpr<A, S>::operator=(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}]’
2024-04-29T00:32:17,462   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:434:28:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:32:17,463   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:494:106:   required from here
2024-04-29T00:32:17,464   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:17,465     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:32:17,465         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:32:17,466   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,466     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,467         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,467   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,468   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,469     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:32:17,469         |                                                                             ^
2024-04-29T00:32:17,470   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,471     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,471         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,472   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,473   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,474     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:32:17,474         |                                                                           ^
2024-04-29T00:32:17,475   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,476     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,476         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,477   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,478   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,479     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:32:17,480         |                                                                             ^
2024-04-29T00:32:17,480   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,481     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,481         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,482   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,482   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,483     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:32:17,483         |                                                                           ^
2024-04-29T00:32:17,484   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,485     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,485         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,486   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,487   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,487     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:32:17,488         |                                                                             ^
2024-04-29T00:32:17,489   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,490     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,490         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,491   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,491   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,492     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:32:17,493         |                                                                           ^
2024-04-29T00:32:17,494   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,495     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,495         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,496   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,496   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,497     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:32:17,497         |                                                                             ^
2024-04-29T00:32:17,498   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:17,498     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,499         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,499   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:17,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:17,501     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:32:17,502         |                                                                           ^
2024-04-29T00:32:17,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:32:17,503     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,504         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:17,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:32:17,505     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:17,506         |                                   ~~~~~~~^~~
2024-04-29T00:32:17,507   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:32:17,507   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:32:17,508    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:32:17,509         |                 ^~~~~~~~~~~~~
2024-04-29T00:32:17,510   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:32:19,352   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19,
2024-04-29T00:32:19,353                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-29T00:32:19,354   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:32:19,354   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:32:19,355   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-29T00:32:19,355   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-29T00:32:19,356   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:19,357   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >]’
2024-04-29T00:32:19,358   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:19,358   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:32:19,359   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:32:19,360   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:458:54:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type {anonymous}::pythonic::types::numpy_gexpr<A, S>::_copy(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}; typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&]’
2024-04-29T00:32:19,361   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:488:17:   required from ‘{anonymous}::pythonic::types::numpy_gexpr<A, S ...>& {anonymous}::pythonic::types::numpy_gexpr<A, S>::operator=(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}]’
2024-04-29T00:32:19,361   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:434:28:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:32:19,362   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:494:106:   required from here
2024-04-29T00:32:19,363   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:32:19,363     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:32:19,364         |                                                           ^~~~~
2024-04-29T00:32:19,365   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:32:19,366   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:19,366   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:32:19,367   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:19,368   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:19,369   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:19,369   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:19,370   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:19,371   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:32:19,372   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:32:19,373   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:463:79:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type {anonymous}::pythonic::types::numpy_gexpr<A, S>::_copy(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}; typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&]’
2024-04-29T00:32:19,373   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:488:17:   required from ‘{anonymous}::pythonic::types::numpy_gexpr<A, S ...>& {anonymous}::pythonic::types::numpy_gexpr<A, S>::operator=(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> > > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}]’
2024-04-29T00:32:19,374   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:434:28:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:32:19,375   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:494:106:   required from here
2024-04-29T00:32:19,375   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:19,376     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:32:19,377         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:32:19,378   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-29T00:32:19,378   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:32:19,379     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:32:19,380         |                            ^~~
2024-04-29T00:32:19,381   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:19,381   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:32:19,382   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:32:19,382      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:32:19,383         |                                     ^~~~~
2024-04-29T00:32:19,383   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:19,384     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:19,385         |                            ^~~
2024-04-29T00:32:19,385   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:19,386   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:19,387     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:32:19,387         |                                                                       ^
2024-04-29T00:32:21,665   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator/=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:21,665   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:236:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator/(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:32:21,666   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/div.hpp:21:31:   required from ‘typename std::enable_if<((! std::is_fundamental<typename std::decay<_Ex>::type>::value) || (! std::is_fundamental<typename std::decay<_Tp2>::type>::value)), decltype ((forward<A>(a) / forward<B>(b)))>::type {anonymous}::pythonic::operator_::div(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; typename std::enable_if<((! std::is_fundamental<typename std::decay<_Ex>::type>::value) || (! std::is_fundamental<typename std::decay<_Tp2>::type>::value)), decltype ((forward<A>(a) / forward<B>(b)))>::type = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) / forward<B>(b))) = xsimd::batch<double, xsimd::neon>; typename std::decay<_Ex>::type = std::decay<xsimd::batch<double, xsimd::neon> >::type; typename std::decay<_Tp2>::type = std::decay<xsimd::batch<double, xsimd::neon> >::type]’
2024-04-29T00:32:21,667   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/div.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::operator_::div((forward<Types>)(<unnamed>::pythonic::operator_::functor::div::operator()::types)...)) {anonymous}::pythonic::operator_::functor::div::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::div((forward<Types>)(<unnamed>::pythonic::operator_::functor::div::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:21,667   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:21,668   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:21,669   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:21,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:32:21,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:32:21,672   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:32:21,672   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:32:21,673   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:481:100:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:32:21,674   fluidsim/solvers/ns3d/output/__pythran__/spatiotemporal_spectra.cpp:494:106:   required from here
2024-04-29T00:32:21,675   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:791:38: error: no matching function for call to ‘div<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:21,675     791 |         return *this = kernel::div<A>(*this, other, A {});
2024-04-29T00:32:21,676         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:32:21,677   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::div(const xsimd::batch<float, A>&, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:32:21,677     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:21,678         |                                ^~~
2024-04-29T00:32:21,678   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:59: note:   no known conversion for argument 1 from ‘xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-29T00:32:21,679     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:21,679         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-29T00:32:21,680   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::div(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:32:21,681      63 |         inline batch<T, A> div(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:32:21,681         |                            ^~~
2024-04-29T00:32:21,682   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:21,683   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:62:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:32:21,684      62 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:32:21,684         |                                     ^~~~~
2024-04-29T00:32:22,410   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:32:23,083   INFO: Generated C++ source file: fluidsim/solvers/ns2d/__pythran__/solver.cpp
2024-04-29T00:32:23,084   Generated C++ source file: fluidsim/solvers/ns2d/__pythran__/solver.cpp
2024-04-29T00:32:23,085   building 'fluidsim.solvers.ns2d.__pythran__.solver' extension
2024-04-29T00:32:23,086   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:32:23,087   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns2d
2024-04-29T00:32:23,089   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/__pythran__
2024-04-29T00:32:23,090   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:32:23,090   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:32:23,091   INFO: arm-linux-gnueabihf-gcc: fluidsim/solvers/ns2d/__pythran__/solver.cpp
2024-04-29T00:32:41,596   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:32:41,597                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:32:41,597                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:32:41,598                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:32:41,598                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:32:41,599                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:32:41,599                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:32:41,600                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:32:41,601                    from fluidsim/solvers/ns2d/__pythran__/solver.cpp:1:
2024-04-29T00:32:41,602   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:41,602   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = double; dtype = double]’
2024-04-29T00:32:41,603   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = double; T = double; B = double]’
2024-04-29T00:32:41,604   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator+(E0&&, E1&&) [with E0 = ndarray<double, pshape<long int, long int> >&; E1 = double&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::add, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::add, ndarray<double, pshape<long int, long int> >&, broadcast<double, double> >; typename adapt_type<E0, E1>::type = ndarray<double, pshape<long int, long int> >&; typename adapt_type<E1, E0>::type = broadcast<double, double>; typename std::decay<_Tp>::type = std::decay<ndarray<double, pshape<long int, long int> >&>::type; typename std::decay<_Tp2>::type = double]’
2024-04-29T00:32:41,604   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/add.hpp:16:31:   required from ‘decltype ((forward<A>(a) + forward<B>(b))) {anonymous}::pythonic::operator_::add(A&&, B&&) [with A = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; B = double&; decltype ((forward<A>(a) + forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::add, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >]’
2024-04-29T00:32:41,605   fluidsim/solvers/ns2d/__pythran__/solver.cpp:96:158:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:41,606   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:41,607   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:32:41,607     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:32:41,608         |                                                                     ^
2024-04-29T00:32:41,609   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:32:41,610                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:32:41,610                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:32:41,611                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:32:41,612                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:32:41,613                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:32:41,613                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:32:41,614                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:32:41,615                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:32:41,615                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:32:41,616   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:32:41,617      27 |         struct simd_register
2024-04-29T00:32:41,617         |                ^~~~~~~~~~~~~
2024-04-29T00:32:41,618   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:32:41,619   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:32:41,619   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:32:41,620   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:32:41,620   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:32:52,496   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-29T00:32:52,496                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:32:52,497   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:32:52,498   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:32:52,498   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>; typename E::dtype = double]’
2024-04-29T00:32:52,499   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >]’
2024-04-29T00:32:52,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >]’
2024-04-29T00:32:52,500   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >; unsigned int N = 1; unsigned int D = 0]’
2024-04-29T00:32:52,501   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:52,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:52,503   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:52,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:52,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:52,505   fluidsim/solvers/ns2d/__pythran__/solver.cpp:92:141:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:52,506   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:52,506   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:52,507     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:32:52,507         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:32:52,508   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,509     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,509         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,510   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,511   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,511     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:32:52,512         |                                                                             ^
2024-04-29T00:32:52,513   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,513     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,514         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,514   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,515   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,515     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:32:52,516         |                                                                           ^
2024-04-29T00:32:52,516   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,517     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,517         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,518   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,519   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,519     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:32:52,520         |                                                                             ^
2024-04-29T00:32:52,521   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,521     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,522         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,523   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,523   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,524     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:32:52,525         |                                                                           ^
2024-04-29T00:32:52,525   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,526     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,527         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,527   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,528   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,528     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:32:52,529         |                                                                             ^
2024-04-29T00:32:52,529   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,530     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,530         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,531   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,532   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,532     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:32:52,533         |                                                                           ^
2024-04-29T00:32:52,534   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,534     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,535         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,535   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,536   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,537     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:32:52,537         |                                                                             ^
2024-04-29T00:32:52,538   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:52,539     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,539         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,540   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:32:52,541   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:52,541     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:32:52,542         |                                                                           ^
2024-04-29T00:32:52,542   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:32:52,543     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,544         |                     ^~~~~~~~~~~~~
2024-04-29T00:32:52,544   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:32:52,545     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:32:52,545         |                                   ~~~~~~~^~~
2024-04-29T00:32:52,546   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:32:52,546   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:32:52,547    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:32:52,548         |                 ^~~~~~~~~~~~~
2024-04-29T00:32:52,548   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:32:53,723   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator-=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:53,724   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:224:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator-(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:32:53,725   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/sub.hpp:17:31:   required from ‘decltype ((forward<A>(a) - forward<B>(b))) {anonymous}::pythonic::operator_::sub(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) - forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:53,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/sub.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) {anonymous}::pythonic::operator_::functor::sub::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:53,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:53,727   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:53,728   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:53,729   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:53,730   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:53,730   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:53,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:53,732   fluidsim/solvers/ns2d/__pythran__/solver.cpp:92:141:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:53,733   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:53,733   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:777:38: error: no matching function for call to ‘sub<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:53,734     777 |         return *this = kernel::sub<A>(*this, other, A {});
2024-04-29T00:32:53,735         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:32:53,735   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::sub(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:53,736     773 |         inline batch<T, A> sub(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:53,737         |                            ^~~
2024-04-29T00:32:53,738   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:53,738   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:772:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:53,739     772 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:32:53,740         |                                                                     ^
2024-04-29T00:32:54,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:54,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:32:54,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,506   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:54,506   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:54,507   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:54,508   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,509   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,509   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,510   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,511   fluidsim/solvers/ns2d/__pythran__/solver.cpp:92:141:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:54,511   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:54,512   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:54,513     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:32:54,513         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:32:54,514   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15,
2024-04-29T00:32:54,514                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-29T00:32:54,515   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:32:54,515     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:32:54,516         |                            ^~~
2024-04-29T00:32:54,516   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,517   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:32:54,518   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:32:54,518      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:32:54,519         |                                     ^~~~~
2024-04-29T00:32:54,519   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,520     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,521         |                            ^~~
2024-04-29T00:32:54,521   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,522   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,522     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:32:54,523         |                                                                       ^
2024-04-29T00:32:54,536   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19:
2024-04-29T00:32:54,536   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:32:54,537   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:32:54,538   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-29T00:32:54,538   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-29T00:32:54,539   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,539   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&>]’
2024-04-29T00:32:54,540   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:54,541   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,541   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,542   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,543   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,543   fluidsim/solvers/ns2d/__pythran__/solver.cpp:92:141:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:54,544   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:54,545   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:32:54,545     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:32:54,546         |                                                           ^~~~~
2024-04-29T00:32:54,546   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:32:54,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::batch<T, A>::operator-() const [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:54,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/neg.hpp:16:12:   required from ‘decltype (- forward<A>(a)) {anonymous}::pythonic::operator_::neg(A&&) [with A = xsimd::batch<double, xsimd::neon>; decltype (- forward<A>(a)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,702   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/neg.hpp:14:3:   required from ‘decltype ({anonymous}::pythonic::operator_::neg((forward<Types>)(<unnamed>::pythonic::operator_::functor::neg::operator()::types)...)) {anonymous}::pythonic::operator_::functor::neg::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::neg((forward<Types>)(<unnamed>::pythonic::operator_::functor::neg::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,703   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::neg; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-29T00:32:54,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::neg; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-29T00:32:54,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:54,705   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:54,706   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,706   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,707   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,708   fluidsim/solvers/ns2d/__pythran__/solver.cpp:92:141:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:54,709   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:54,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:908:30: error: no matching function for call to ‘neg<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:54,710     908 |         return kernel::neg<A>(*this, A {});
2024-04-29T00:32:54,711         |                ~~~~~~~~~~~~~~^~~~~~~~~~~~~
2024-04-29T00:32:54,712   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,712     675 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,713         |                            ^~~
2024-04-29T00:32:54,713   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:675:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,714   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:674:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,715     674 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:32:54,716         |                                                                             ^
2024-04-29T00:32:54,716   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,717     681 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,717         |                            ^~~
2024-04-29T00:32:54,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:681:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,718   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:680:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,719     680 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:32:54,720         |                                                                           ^
2024-04-29T00:32:54,720   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,721     687 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,721         |                            ^~~
2024-04-29T00:32:54,722   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:687:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,723   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:686:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,723     686 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:32:54,724         |                                                                             ^
2024-04-29T00:32:54,725   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,725     693 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,726         |                            ^~~
2024-04-29T00:32:54,726   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:693:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,727   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:692:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,728     692 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:32:54,728         |                                                                           ^
2024-04-29T00:32:54,729   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,730     699 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,730         |                            ^~~
2024-04-29T00:32:54,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:699:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,731   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:698:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,732     698 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:32:54,733         |                                                                             ^
2024-04-29T00:32:54,733   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,734     705 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,734         |                            ^~~
2024-04-29T00:32:54,735   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:705:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,735   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:704:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,736     704 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:32:54,736         |                                                                           ^
2024-04-29T00:32:54,737   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,738     711 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,738         |                            ^~~
2024-04-29T00:32:54,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:711:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,739   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:710:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,740     710 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:32:54,741         |                                                                             ^
2024-04-29T00:32:54,741   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::neg(const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,742     717 |         inline batch<T, A> neg(batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,743         |                            ^~~
2024-04-29T00:32:54,743   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:717:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,744   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:716:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,744     716 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:32:54,745         |                                                                           ^
2024-04-29T00:32:54,745   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::neg(const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:32:54,746     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,746         |                                ^~~
2024-04-29T00:32:54,747   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:723:59: note:   no known conversion for argument 1 from ‘const xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-29T00:32:54,747     723 |         inline batch<float, A> neg(batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,748         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-29T00:32:54,825   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator+=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:32:54,826   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:218:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator+(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:32:54,827   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/add.hpp:16:31:   required from ‘decltype ((forward<A>(a) + forward<B>(b))) {anonymous}::pythonic::operator_::add(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) + forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,827   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/add.hpp:16:3:   required from ‘decltype ({anonymous}::pythonic::operator_::add((forward<Types>)(<unnamed>::pythonic::operator_::functor::add::operator()::types)...)) {anonymous}::pythonic::operator_::functor::add::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::add((forward<Types>)(<unnamed>::pythonic::operator_::functor::add::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:32:54,828   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::operator_::functor::add; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:54,829   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::operator_::functor::add; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:32:54,830   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:32:54,830   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> > > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,831   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> > > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:32:54,832   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> > > >; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,832   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::neg, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> > >}; T = double; pS = {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:32:54,833   fluidsim/solvers/ns2d/__pythran__/solver.cpp:96:173:   required from ‘typename {anonymous}::__pythran_solver::compute_Frot::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_solver::compute_Frot::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::array_base<long int, 2, {anonymous}::pythonic::types::tuple_version> >]’
2024-04-29T00:32:54,834   fluidsim/solvers/ns2d/__pythran__/solver.cpp:110:76:   required from here
2024-04-29T00:32:54,834   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:770:38: error: no matching function for call to ‘add<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:32:54,835     770 |         return *this = kernel::add<A>(*this, other, A {});
2024-04-29T00:32:54,835         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:32:54,836   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::add(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:32:54,837     736 |         inline batch<T, A> add(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:32:54,837         |                            ^~~
2024-04-29T00:32:54,838   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note:   template argument deduction/substitution failed:
2024-04-29T00:32:54,838   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:735:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:32:54,839     735 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:32:54,840         |                                                                     ^
2024-04-29T00:32:56,691   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:32:57,750   INFO: Generated C++ source file: fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:32:57,751   Generated C++ source file: fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:32:57,751   building 'fluidsim.solvers.ns2d.output.__pythran__.spatiotemporal_spectra' extension
2024-04-29T00:32:57,752   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:32:57,753   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output
2024-04-29T00:32:57,754   creating build/temp.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/__pythran__
2024-04-29T00:32:57,755   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:32:57,755   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:32:57,756   INFO: arm-linux-gnueabihf-gcc: fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp
2024-04-29T00:33:12,067   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:33:12,068                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:33:12,068                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:33:12,069                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:33:12,069                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:33:12,070                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:33:12,071                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:33:12,072                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:33:12,072                    from fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:1:
2024-04-29T00:33:12,073   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:33:12,074   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = long int; dtype = double]’
2024-04-29T00:33:12,075   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = long int; T = double; B = long int]’
2024-04-29T00:33:12,076   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = long int; E1 = numpy_gexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int> > > >, cstride_normalized_slice<1> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, long int>, numpy_gexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int> > > >, cstride_normalized_slice<1> >&>; typename adapt_type<E0, E1>::type = broadcast<double, long int>; typename adapt_type<E1, E0>::type = numpy_gexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int> > > >, cstride_normalized_slice<1> >&; typename std::decay<_Tp>::type = long int; typename std::decay<_Tp2>::type = std::decay<numpy_gexpr<numpy_iexpr<numpy_iexpr<ndarray<double, pshape<long int, long int, long int> > > >, cstride_normalized_slice<1> >&>::type]’
2024-04-29T00:33:12,076   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = long int; B = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>]’
2024-04-29T00:33:12,077   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:416:50:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:33:12,078   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:471:106:   required from here
2024-04-29T00:33:12,079   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:33:12,079     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:33:12,080         |                                                                     ^
2024-04-29T00:33:12,081   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:33:12,082                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:33:12,082                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:33:12,083                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:33:12,084                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:33:12,084                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:33:12,085                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:33:12,086                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:33:12,086                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:33:12,087                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:33:12,087   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:33:12,088      27 |         struct simd_register
2024-04-29T00:33:12,088         |                ^~~~~~~~~~~~~
2024-04-29T00:33:12,089   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:33:12,090   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:33:12,091   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:33:12,091   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:33:12,092   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:33:13,500   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-29T00:33:13,501                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:33:13,501   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:33:13,502   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:33:13,503   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >; typename E::dtype = double]’
2024-04-29T00:33:13,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>]’
2024-04-29T00:33:13,504   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>]’
2024-04-29T00:33:13,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; unsigned int D = 0]’
2024-04-29T00:33:13,505   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:33:13,506   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:33:13,507   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:463:79:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type {anonymous}::pythonic::types::numpy_gexpr<A, S>::_copy(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}; typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&]’
2024-04-29T00:33:13,508   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:488:17:   required from ‘{anonymous}::pythonic::types::numpy_gexpr<A, S ...>& {anonymous}::pythonic::types::numpy_gexpr<A, S>::operator=(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}]’
2024-04-29T00:33:13,508   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:416:24:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:33:13,509   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:471:106:   required from here
2024-04-29T00:33:13,510   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:33:13,511     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:33:13,511         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:33:13,512   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,513     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,514         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,514   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,515   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,516     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:33:13,516         |                                                                             ^
2024-04-29T00:33:13,517   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,518     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,519         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,519   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,520   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,520     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:33:13,521         |                                                                           ^
2024-04-29T00:33:13,521   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,522     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,523         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,523   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,524   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,525     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:33:13,525         |                                                                             ^
2024-04-29T00:33:13,526   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,527     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,527         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,528   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,529   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,529     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:33:13,530         |                                                                           ^
2024-04-29T00:33:13,531   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,532     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,533         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,533   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,534   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,534     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:33:13,535         |                                                                             ^
2024-04-29T00:33:13,535   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,536     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,536         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,537   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,537   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,538     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:33:13,539         |                                                                           ^
2024-04-29T00:33:13,540   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,540     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,541         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,542   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,542   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,543     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:33:13,544         |                                                                             ^
2024-04-29T00:33:13,544   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:13,545     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,546         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,547   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:33:13,547   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:13,548     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:33:13,548         |                                                                           ^
2024-04-29T00:33:13,549   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:33:13,550     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,550         |                     ^~~~~~~~~~~~~
2024-04-29T00:33:13,551   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:33:13,551     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:33:13,552         |                                   ~~~~~~~^~~
2024-04-29T00:33:13,552   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:33:13,553   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:33:13,554    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:33:13,554         |                 ^~~~~~~~~~~~~
2024-04-29T00:33:13,555   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:33:14,671   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19,
2024-04-29T00:33:14,672                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-29T00:33:14,672   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:33:14,673   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:33:14,674   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-29T00:33:14,675   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-29T00:33:14,675   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:33:14,676   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >]’
2024-04-29T00:33:14,677   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:33:14,678   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:272:60:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, true>) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:33:14,678   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:33:14,679   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:458:54:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type {anonymous}::pythonic::types::numpy_gexpr<A, S>::_copy(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}; typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&]’
2024-04-29T00:33:14,680   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:488:17:   required from ‘{anonymous}::pythonic::types::numpy_gexpr<A, S ...>& {anonymous}::pythonic::types::numpy_gexpr<A, S>::operator=(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}]’
2024-04-29T00:33:14,680   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:416:24:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:33:14,681   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:471:106:   required from here
2024-04-29T00:33:14,682   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:33:14,683     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:33:14,683         |                                                           ^~~~~
2024-04-29T00:33:14,684   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:33:14,685   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:33:14,686   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:33:14,686   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:33:14,687   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:33:14,687   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:33:14,688   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:33:14,689   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:33:14,690   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:33:14,690   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; unsigned int N = 1; int D = 0; bool vector_form = true]’
2024-04-29T00:33:14,691   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:463:79:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type {anonymous}::pythonic::types::numpy_gexpr<A, S>::_copy(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}; typename std::enable_if<{anonymous}::pythonic::types::may_overlap_gexpr<E>::value, {anonymous}::pythonic::types::numpy_gexpr<A, S>&>::type = {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&]’
2024-04-29T00:33:14,692   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_gexpr.hpp:488:17:   required from ‘{anonymous}::pythonic::types::numpy_gexpr<A, S ...>& {anonymous}::pythonic::types::numpy_gexpr<A, S>::operator=(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; Arg = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> > > >; S = {{anonymous}::pythonic::types::cstride_normalized_slice<1>}]’
2024-04-29T00:33:14,693   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:416:24:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:33:14,694   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:471:106:   required from here
2024-04-29T00:33:14,695   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:33:14,695     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:33:14,696         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:33:14,697   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-29T00:33:14,697   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:33:14,698     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:33:14,699         |                            ^~~
2024-04-29T00:33:14,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:33:14,700   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:33:14,700   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:33:14,701      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:33:14,701         |                                     ^~~~~
2024-04-29T00:33:14,702   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:33:14,703     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:33:14,704         |                            ^~~
2024-04-29T00:33:14,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:33:14,705   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:33:14,706     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:33:14,706         |                                                                       ^
2024-04-29T00:33:17,757   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator/=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:33:17,758   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:236:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator/(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:33:17,759   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/div.hpp:21:31:   required from ‘typename std::enable_if<((! std::is_fundamental<typename std::decay<_Ex>::type>::value) || (! std::is_fundamental<typename std::decay<_Tp2>::type>::value)), decltype ((forward<A>(a) / forward<B>(b)))>::type {anonymous}::pythonic::operator_::div(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; typename std::enable_if<((! std::is_fundamental<typename std::decay<_Ex>::type>::value) || (! std::is_fundamental<typename std::decay<_Tp2>::type>::value)), decltype ((forward<A>(a) / forward<B>(b)))>::type = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) / forward<B>(b))) = xsimd::batch<double, xsimd::neon>; typename std::decay<_Ex>::type = std::decay<xsimd::batch<double, xsimd::neon> >::type; typename std::decay<_Tp2>::type = std::decay<xsimd::batch<double, xsimd::neon> >::type]’
2024-04-29T00:33:17,759   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/div.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::operator_::div((forward<Types>)(<unnamed>::pythonic::operator_::functor::div::operator()::types)...)) {anonymous}::pythonic::operator_::functor::div::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::div((forward<Types>)(<unnamed>::pythonic::operator_::functor::div::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:33:17,760   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:33:17,761   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::broadcast<double, double> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:33:17,761   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:33:17,762   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:33:17,763   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:33:17,764   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:33:17,765   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::broadcast<double, double>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:33:17,765   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:458:100:   required from ‘typename {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_spatiotemporal_spectra::compute_spectrum_kzkhomega::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type5 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:33:17,766   fluidsim/solvers/ns2d/output/__pythran__/spatiotemporal_spectra.cpp:471:106:   required from here
2024-04-29T00:33:17,767   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:791:38: error: no matching function for call to ‘div<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:33:17,768     791 |         return *this = kernel::div<A>(*this, other, A {});
2024-04-29T00:33:17,768         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:33:17,769   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::div(const xsimd::batch<float, A>&, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:33:17,770     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:33:17,770         |                                ^~~
2024-04-29T00:33:17,771   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:59: note:   no known conversion for argument 1 from ‘xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-29T00:33:17,772     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:33:17,772         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-29T00:33:17,773   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::div(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:33:17,774      63 |         inline batch<T, A> div(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:33:17,774         |                            ^~~
2024-04-29T00:33:17,775   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note:   template argument deduction/substitution failed:
2024-04-29T00:33:17,776   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:62:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:33:17,777      62 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:33:17,777         |                                     ^~~~~
2024-04-29T00:33:18,482   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:33:19,232   INFO: Generated C++ source file: fluidsim/util/__pythran__/mini_oper_modif_resol.cpp
2024-04-29T00:33:19,232   Generated C++ source file: fluidsim/util/__pythran__/mini_oper_modif_resol.cpp
2024-04-29T00:33:19,240   building 'fluidsim.util.__pythran__.mini_oper_modif_resol' extension
2024-04-29T00:33:19,241   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:33:19,242   creating build/temp.linux-armv7l-cpython-311/fluidsim/util
2024-04-29T00:33:19,244   creating build/temp.linux-armv7l-cpython-311/fluidsim/util/__pythran__
2024-04-29T00:33:19,245   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:33:19,245   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:33:19,246   INFO: arm-linux-gnueabihf-gcc: fluidsim/util/__pythran__/mini_oper_modif_resol.cpp
2024-04-29T00:33:31,454   creating build/lib.linux-armv7l-cpython-311/fluidsim/util/__pythran__
2024-04-29T00:33:31,455   INFO: arm-linux-gnueabihf-g++ -shared -Wl,-O1 -Wl,-Bsymbolic-functions -g -fwrapv -O2 build/temp.linux-armv7l-cpython-311/fluidsim/util/__pythran__/mini_oper_modif_resol.o -L/usr/lib/arm-linux-gnueabihf -L/usr/lib/arm-linux-gnueabihf -lblas -lblas -o build/lib.linux-armv7l-cpython-311/fluidsim/util/__pythran__/mini_oper_modif_resol.cpython-311-arm-linux-gnueabihf.so -fvisibility=hidden -Wl,-strip-all
2024-04-29T00:33:37,394   INFO: Generated C++ source file: fluidsim/operators/__pythran__/operators3d.cpp
2024-04-29T00:33:37,394   Generated C++ source file: fluidsim/operators/__pythran__/operators3d.cpp
2024-04-29T00:33:37,395   building 'fluidsim.operators.__pythran__.operators3d' extension
2024-04-29T00:33:37,396   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:33:37,397   creating build/temp.linux-armv7l-cpython-311/fluidsim/operators
2024-04-29T00:33:37,398   creating build/temp.linux-armv7l-cpython-311/fluidsim/operators/__pythran__
2024-04-29T00:33:37,398   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:33:37,399   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:33:37,399   INFO: arm-linux-gnueabihf-gcc: fluidsim/operators/__pythran__/operators3d.cpp
2024-04-29T00:34:02,373   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:34:02,373                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:34:02,373                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:34:02,374                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:34:02,375                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:34:02,376                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:34:02,377                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:34:02,377                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:34:02,378                    from fluidsim/operators/__pythran__/operators3d.cpp:1:
2024-04-29T00:34:02,378   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:02,379   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = double; dtype = double]’
2024-04-29T00:34:02,380   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = double; T = double; B = double]’
2024-04-29T00:34:02,380   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = double; E1 = ndarray<double, pshape<long int, long int, long int> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int, long int> >&>; typename adapt_type<E0, E1>::type = broadcast<double, double>; typename adapt_type<E1, E0>::type = ndarray<double, pshape<long int, long int, long int> >&; typename std::decay<_Tp>::type = double; typename std::decay<_Tp2>::type = std::decay<ndarray<double, pshape<long int, long int, long int> >&>::type]’
2024-04-29T00:34:02,381   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = double; B = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>]’
2024-04-29T00:34:02,381   fluidsim/operators/__pythran__/operators3d.cpp:2133:116:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__get_phases_random::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__get_phases_random::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = double; argument_type4 = double; argument_type5 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4, argument_type5>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:02,382   fluidsim/operators/__pythran__/operators3d.cpp:2147:127:   required from here
2024-04-29T00:34:02,383   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:34:02,384     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:34:02,385         |                                                                     ^
2024-04-29T00:34:02,385   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:34:02,386                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:34:02,386                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:34:02,387                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:34:02,388                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:34:02,388                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:34:02,389                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:34:02,390                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:34:02,390                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:34:02,391                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:34:02,392   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:34:02,392      27 |         struct simd_register
2024-04-29T00:34:02,393         |                ^~~~~~~~~~~~~
2024-04-29T00:34:02,393   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:34:02,394   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:34:02,395   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:34:02,396   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:34:02,396   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:34:19,654   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-29T00:34:19,654                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:34:19,655   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:34:19,656   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:34:19,656   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = double]’
2024-04-29T00:34:19,657   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:34:19,658   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:34:19,658   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; unsigned int N = 1; unsigned int D = 0]’
2024-04-29T00:34:19,659   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:19,660   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:19,661   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:19,662   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:19,663   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::add; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:19,663   fluidsim/operators/__pythran__/operators3d.cpp:1522:16:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:19,664   fluidsim/operators/__pythran__/operators3d.cpp:2181:130:   required from here
2024-04-29T00:34:19,665   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:19,665     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:34:19,666         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:34:19,667   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,667     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,668         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,669   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,670     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:34:19,671         |                                                                             ^
2024-04-29T00:34:19,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,672     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,672         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,673   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,673   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,674     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:34:19,674         |                                                                           ^
2024-04-29T00:34:19,675   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,676     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,676         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,677   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,678   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,679     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:34:19,679         |                                                                             ^
2024-04-29T00:34:19,680   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,681     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,681         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,682   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,683   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,684     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:34:19,685         |                                                                           ^
2024-04-29T00:34:19,685   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,686     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,686         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,687   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,687   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,688     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:34:19,688         |                                                                             ^
2024-04-29T00:34:19,689   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,689     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,690         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,691   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,692   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,692     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:34:19,693         |                                                                           ^
2024-04-29T00:34:19,694   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,694     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,695         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,696   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,696   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,697     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:34:19,698         |                                                                             ^
2024-04-29T00:34:19,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:19,699     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,700         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:19,701   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:19,702     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:34:19,702         |                                                                           ^
2024-04-29T00:34:19,703   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:34:19,703     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,704         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:19,705   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:34:19,706     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:19,706         |                                   ~~~~~~~^~~
2024-04-29T00:34:19,707   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:34:19,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:34:19,709    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:34:19,709         |                 ^~~~~~~~~~~~~
2024-04-29T00:34:19,710   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:34:20,490   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::sqrt(const batch<T, A>&) [with T = double; A = neon]’:
2024-04-29T00:34:20,490   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_nary_expr.hpp:26:31:   required from ‘typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::sqrt((forward<T>)(<unnamed>::pythonic::numpy::functor::sqrt::operator()::args)...))>::type {anonymous}::pythonic::numpy::functor::sqrt::operator()(T&& ...) const [with T = {xsimd::batch<double, xsimd::neon>}; typename std::enable_if<(! {anonymous}::pythonic::types::valid_numexpr_parameters<typename std::decay<_Elements>::type ...>::value), decltype (xsimd::sqrt((forward<T>)(<unnamed>::pythonic::numpy::functor::sqrt::operator()::args)...))>::type = xsimd::batch<double, xsimd::neon>; decltype (xsimd::sqrt((forward<T>)(<unnamed>::pythonic::numpy::functor::sqrt::operator()::args)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:20,491   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::numpy::functor::sqrt; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-29T00:34:20,492   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::numpy::functor::sqrt; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0>]’
2024-04-29T00:34:20,493   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:34:20,494   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >]’
2024-04-29T00:34:20,494   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:20,495   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:20,495   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:20,496   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::sqrt, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:20,497   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::numpy::functor::sqrt; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:20,497   fluidsim/operators/__pythran__/operators3d.cpp:1608:145:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vecfft_from_vtfft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vecfft_from_vtfft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = std::tuple<{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::array_base<long int, 3, {anonymous}::pythonic::types::tuple_version> > >]’
2024-04-29T00:34:20,498   fluidsim/operators/__pythran__/operators3d.cpp:2232:127:   required from here
2024-04-29T00:34:20,499   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2153:31: error: no matching function for call to ‘sqrt<xsimd::neon>(const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:20,499    2153 |         return kernel::sqrt<A>(x, A {});
2024-04-29T00:34:20,500         |                ~~~~~~~~~~~~~~~^~~~~~~~~
2024-04-29T00:34:20,501   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1358:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::sqrt(const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:34:20,501    1358 |         inline batch<float, A> sqrt(batch<float, A> const& arg, requires_arch<neon>) noexcept
2024-04-29T00:34:20,502         |                                ^~~~
2024-04-29T00:34:20,503   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:1358:60: note:   no known conversion for argument 1 from ‘const xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-29T00:34:20,503    1358 |         inline batch<float, A> sqrt(batch<float, A> const& arg, requires_arch<neon>) noexcept
2024-04-29T00:34:20,504         |                                     ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-29T00:34:20,505   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:18,
2024-04-29T00:34:20,505                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-29T00:34:20,506   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:2140:42: note: candidate: ‘template<class A, class T> xsimd::batch<std::complex<_Up>, A> xsimd::kernel::sqrt(const xsimd::batch<std::complex<_Up>, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:34:20,506    2140 |         inline batch<std::complex<T>, A> sqrt(batch<std::complex<T>, A> const& z, requires_arch<generic>) noexcept
2024-04-29T00:34:20,507         |                                          ^~~~
2024-04-29T00:34:20,507   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_math.hpp:2140:42: note:   template argument deduction/substitution failed:
2024-04-29T00:34:20,508   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2153:31: note:   mismatched types ‘std::complex<_Up>’ and ‘double’
2024-04-29T00:34:20,509    2153 |         return kernel::sqrt<A>(x, A {});
2024-04-29T00:34:20,509         |                ~~~~~~~~~~~~~~~^~~~~~~~~
2024-04-29T00:34:21,556   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator+=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:21,557   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:218:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator+(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:34:21,558   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/add.hpp:16:31:   required from ‘decltype ((forward<A>(a) + forward<B>(b))) {anonymous}::pythonic::operator_::add(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) + forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:21,559   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/add.hpp:16:3:   required from ‘decltype ({anonymous}::pythonic::operator_::add((forward<Types>)(<unnamed>::pythonic::operator_::functor::add::operator()::types)...)) {anonymous}::pythonic::operator_::functor::add::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::add((forward<Types>)(<unnamed>::pythonic::operator_::functor::add::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:21,559   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::operator_::functor::add; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:21,560   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >; Op = {anonymous}::pythonic::operator_::functor::add; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:21,561   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:21,562   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:21,563   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:21,564   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,564   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::add; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::numpy::functor::square, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,565   fluidsim/operators/__pythran__/operators3d.cpp:1522:16:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:21,566   fluidsim/operators/__pythran__/operators3d.cpp:2181:130:   required from here
2024-04-29T00:34:21,567   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:770:38: error: no matching function for call to ‘add<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:21,567     770 |         return *this = kernel::add<A>(*this, other, A {});
2024-04-29T00:34:21,568         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:21,568   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::add(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:21,569     736 |         inline batch<T, A> add(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:21,570         |                            ^~~
2024-04-29T00:34:21,570   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:21,571   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:735:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:21,572     735 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:34:21,573         |                                                                     ^
2024-04-29T00:34:21,586   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator/=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:21,587   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:236:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator/(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:34:21,587   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/div.hpp:21:31:   required from ‘typename std::enable_if<((! std::is_fundamental<typename std::decay<_Ex>::type>::value) || (! std::is_fundamental<typename std::decay<_Tp2>::type>::value)), decltype ((forward<A>(a) / forward<B>(b)))>::type {anonymous}::pythonic::operator_::div(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; typename std::enable_if<((! std::is_fundamental<typename std::decay<_Ex>::type>::value) || (! std::is_fundamental<typename std::decay<_Tp2>::type>::value)), decltype ((forward<A>(a) / forward<B>(b)))>::type = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) / forward<B>(b))) = xsimd::batch<double, xsimd::neon>; typename std::decay<_Ex>::type = std::decay<xsimd::batch<double, xsimd::neon> >::type; typename std::decay<_Tp2>::type = std::decay<xsimd::batch<double, xsimd::neon> >::type]’
2024-04-29T00:34:21,588   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/div.hpp:20:3:   required from ‘decltype ({anonymous}::pythonic::operator_::div((forward<Types>)(<unnamed>::pythonic::operator_::functor::div::operator()::types)...)) {anonymous}::pythonic::operator_::functor::div::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::div((forward<Types>)(<unnamed>::pythonic::operator_::functor::div::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:21,589   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:21,589   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:21,590   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:21,591   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:21,592   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:21,592   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,593   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,594   fluidsim/operators/__pythran__/operators3d.cpp:1524:114:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:21,594   fluidsim/operators/__pythran__/operators3d.cpp:2181:130:   required from here
2024-04-29T00:34:21,595   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:791:38: error: no matching function for call to ‘div<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:21,596     791 |         return *this = kernel::div<A>(*this, other, A {});
2024-04-29T00:34:21,596         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:21,597   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:32: note: candidate: ‘xsimd::batch<float, A> xsimd::kernel::div(const xsimd::batch<float, A>&, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:34:21,598     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:21,598         |                                ^~~
2024-04-29T00:34:21,599   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:839:59: note:   no known conversion for argument 1 from ‘xsimd::batch<double, xsimd::neon>’ to ‘const xsimd::batch<float, xsimd::neon>&’
2024-04-29T00:34:21,600     839 |         inline batch<float, A> div(batch<float, A> const& lhs, batch<float, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:21,600         |                                    ~~~~~~~~~~~~~~~~~~~~~~~^~~
2024-04-29T00:34:21,601   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-29T00:34:21,602   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::div(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:34:21,603      63 |         inline batch<T, A> div(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:34:21,603         |                            ^~~
2024-04-29T00:34:21,604   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:63:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:21,604   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:62:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:34:21,605      62 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:34:21,605         |                                     ^~~~~
2024-04-29T00:34:21,632   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:494:
2024-04-29T00:34:21,633   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp: In instantiation of ‘struct xsimd::detail::static_check_supported_config_emitter<double, xsimd::neon>’:
2024-04-29T00:34:21,634   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:76:16:   required from ‘struct xsimd::detail::static_check_supported_config_emitter<std::complex<double>, xsimd::neon>’
2024-04-29T00:34:21,634   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:91:19:   required from ‘void xsimd::detail::static_check_supported_config() [with T = std::complex<double>; A = xsimd::neon]’
2024-04-29T00:34:21,635   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1369:55:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:34:21,636   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:34:21,636   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>]’
2024-04-29T00:34:21,637   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:21,638   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:21,639   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:21,639   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,640   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::mul; Args = {{anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,641   fluidsim/operators/__pythran__/operators3d.cpp:1574:181:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:34:21,641   fluidsim/operators/__pythran__/operators3d.cpp:2215:130:   required from here
2024-04-29T00:34:21,642   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: error: static assertion failed: usage of batch type with unsupported type
2024-04-29T00:34:21,643      71 |             static_assert(!A::supported() || xsimd::has_simd_register<T, A>::value,
2024-04-29T00:34:21,643         |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:21,644   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: note: ‘((! xsimd::neon::supported()) || ((bool)std::integral_constant<bool, false>::value))’ evaluates to false
2024-04-29T00:34:21,665   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:21,666   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:34:21,666   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:21,667   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:21,668   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:21,669   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:21,669   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:21,670   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:21,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:21,671   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,672   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::mul; Args = {{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:21,673   fluidsim/operators/__pythran__/operators3d.cpp:1681:102:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__project_toroidal::type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__project_toroidal::operator()(argument_type0, argument_type1, argument_type2, argument_type3, argument_type4) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type4 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3, argument_type4>::result_type = {anonymous}::pythonic::types::none_type]’
2024-04-29T00:34:21,674   fluidsim/operators/__pythran__/operators3d.cpp:2266:126:   required from here
2024-04-29T00:34:21,675   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:21,675     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:34:21,676         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:21,677   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:34:21,677     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:34:21,678         |                            ^~~
2024-04-29T00:34:21,679   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:21,680   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:34:21,680   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:34:21,681      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:34:21,682         |                                     ^~~~~
2024-04-29T00:34:21,682   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:21,683     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:21,684         |                            ^~~
2024-04-29T00:34:21,684   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:21,685   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:21,685     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:34:21,686         |                                                                       ^
2024-04-29T00:34:22,000   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19:
2024-04-29T00:34:22,000   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:22,001   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:22,001   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-29T00:34:22,002   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-29T00:34:22,003   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:22,003   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::div; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:22,004   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:22,005   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:22,006   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int N = 3; int D = 0; bool vector_form = true]’
2024-04-29T00:34:22,006   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,007   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::broadcast<double, long int>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,008   fluidsim/operators/__pythran__/operators3d.cpp:1524:114:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__vxvyfft_from_divhfft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:22,008   fluidsim/operators/__pythran__/operators3d.cpp:2181:130:   required from here
2024-04-29T00:34:22,009   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:34:22,010     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:34:22,010         |                                                           ^~~~~
2024-04-29T00:34:22,011   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:34:22,030   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_high(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:22,030   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:620:49:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:22,031   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:34:22,032   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:34:22,033   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>]’
2024-04-29T00:34:22,033   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>]’
2024-04-29T00:34:22,034   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:22,035   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:22,035   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:22,036   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,037   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::mul; Args = {{anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,038   fluidsim/operators/__pythran__/operators3d.cpp:1574:181:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:34:22,039   fluidsim/operators/__pythran__/operators3d.cpp:2215:130:   required from here
2024-04-29T00:34:22,039   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: error: static assertion failed: complex_high not implemented for the required architecture
2024-04-29T00:34:22,040     572 |                 static_assert(std::is_same<T, void>::value, "complex_high not implemented for the required architecture");
2024-04-29T00:34:22,041         |                                                      ^~~~~
2024-04-29T00:34:22,041   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:34:22,042   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:573:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:34:22,042     573 |             }
2024-04-29T00:34:22,043         |             ^
2024-04-29T00:34:22,043   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_low(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:22,044   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:621:48:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:22,044   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:34:22,045   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:34:22,046   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>]’
2024-04-29T00:34:22,046   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>]’
2024-04-29T00:34:22,047   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:22,048   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:22,049   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:22,050   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,050   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::mul; Args = {{anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,051   fluidsim/operators/__pythran__/operators3d.cpp:1574:181:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:34:22,052   fluidsim/operators/__pythran__/operators3d.cpp:2215:130:   required from here
2024-04-29T00:34:22,053   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: error: static assertion failed: complex_low not implemented for the required architecture
2024-04-29T00:34:22,053     578 |                 static_assert(std::is_same<T, void>::value, "complex_low not implemented for the required architecture");
2024-04-29T00:34:22,054         |                                                      ^~~~~
2024-04-29T00:34:22,054   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:34:22,055   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:579:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:34:22,056     579 |             }
2024-04-29T00:34:22,057         |             ^
2024-04-29T00:34:22,325   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::detail::load_complex(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:22,326   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:600:40:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::load_complex_unaligned(const std::complex<T>*, convert<std::complex<_Up> >, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:22,327   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1300:49:   required from ‘xsimd::simd_return_type<std::complex<T>, To, A> xsimd::load_as(const std::complex<T>*, unaligned_mode) [with To = std::complex<double>; A = neon; From = double; simd_return_type<std::complex<T>, To, A> = batch<std::complex<double>, neon>]’
2024-04-29T00:34:22,328   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:34:22,328   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:34:22,329   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>&; F = {anonymous}::pythonic::types::numpy_iexpr<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>]’
2024-04-29T00:34:22,329   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:22,330   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:22,331   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; unsigned int N = 3; int D = 0; bool vector_form = false]’
2024-04-29T00:34:22,332   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> > >; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,332   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::mul; Args = {{anonymous}::pythonic::types::broadcast<std::complex<double>, std::complex<double> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&> >}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,333   fluidsim/operators/__pythran__/operators3d.cpp:1574:181:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__divhfft_from_vxvyfft::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:34:22,334   fluidsim/operators/__pythran__/operators3d.cpp:2215:130:   required from here
2024-04-29T00:34:22,335   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: error: static assertion failed: load_complex not implemented for the required architecture
2024-04-29T00:34:22,335     566 |                 static_assert(std::is_same<T, void>::value, "load_complex not implemented for the required architecture");
2024-04-29T00:34:22,336         |                                                      ^~~~~
2024-04-29T00:34:22,337   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:34:22,337   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:567:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:34:22,338     567 |             }
2024-04-29T00:34:22,339         |             ^
2024-04-29T00:34:22,694   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator-=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:22,695   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1342:16:   required from ‘xsimd::batch<std::complex<_Tp>, A>& xsimd::batch<std::complex<_Tp>, A>::operator-=(const xsimd::batch<std::complex<_Tp>, A>&) [with T = double; A = xsimd::neon]’
2024-04-29T00:34:22,695   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:459:32:   required from ‘xsimd::batch<std::complex<double>, xsimd::neon> xsimd::operator-(const batch<std::complex<double>, neon>&, const batch<std::complex<double>, neon>&)’
2024-04-29T00:34:22,696   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/sub.hpp:17:31:   required from ‘decltype ((forward<A>(a) - forward<B>(b))) {anonymous}::pythonic::operator_::sub(A&&, B&&) [with A = xsimd::batch<std::complex<double>, xsimd::neon>; B = xsimd::batch<std::complex<double>, xsimd::neon>; decltype ((forward<A>(a) - forward<B>(b))) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:34:22,697   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/sub.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) {anonymous}::pythonic::operator_::functor::sub::operator()(Types&& ...) const [with Types = {xsimd::batch<std::complex<double>, xsimd::neon>, xsimd::batch<std::complex<double>, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:34:22,698   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<std::complex<double>, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:22,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:22,699   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int, long int>]’
2024-04-29T00:34:22,700   /usr/include/c++/12/tuple:200:4:   required from ‘constexpr std::_Head_base<_Idx, _Head, false>::_Head_base(_UHead&&) [with _UHead = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; unsigned int _Idx = 0; _Head = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >]’
2024-04-29T00:34:22,701   /usr/include/c++/12/tuple:316:57:   required from ‘constexpr std::_Tuple_impl<_Idx, _Head, _Tail ...>::_Tuple_impl(std::_Tuple_impl<_Idx, _UHead, _UTails ...>&&) [with _UHead = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>; _UTails = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >}; unsigned int _Idx = 0; _Head = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; _Tail = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >}]’
2024-04-29T00:34:22,702   /usr/include/c++/12/tuple:785:65:   required from ‘constexpr std::tuple< <template-parameter-1-1> >::tuple(std::tuple<_Args1 ...>&&) [with _UElements = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >&>, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >}; bool _Valid = true; typename std::enable_if<_TCC<_Valid>::__is_implicitly_constructible<_UElements ...>(), bool>::type <anonymous> = true; _Elements = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >}]’
2024-04-29T00:34:22,702   fluidsim/operators/__pythran__/operators3d.cpp:2002:144:   required from ‘typename {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__urudfft_from_vxvyfft::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators3d::__for_method__OperatorsPseudoSpectral3D__urudfft_from_vxvyfft::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type2 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; argument_type3 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = std::tuple<{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> >, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int, long int> > >]’
2024-04-29T00:34:22,703   fluidsim/operators/__pythran__/operators3d.cpp:2351:130:   required from here
2024-04-29T00:34:22,704   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:777:38: error: no matching function for call to ‘sub<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:22,705     777 |         return *this = kernel::sub<A>(*this, other, A {});
2024-04-29T00:34:22,705         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:22,706   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::sub(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:22,707     773 |         inline batch<T, A> sub(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:22,707         |                            ^~~
2024-04-29T00:34:22,708   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:22,709   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:772:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:22,709     772 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:34:22,710         |                                                                     ^
2024-04-29T00:34:25,090   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:34:25,891   INFO: Generated C++ source file: fluidsim/operators/__pythran__/operators2d.cpp
2024-04-29T00:34:25,892   Generated C++ source file: fluidsim/operators/__pythran__/operators2d.cpp
2024-04-29T00:34:25,893   building 'fluidsim.operators.__pythran__.operators2d' extension
2024-04-29T00:34:25,893   INFO: C compiler: arm-linux-gnueabihf-gcc -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC

2024-04-29T00:34:25,895   INFO: compile options: '-DENABLE_PYTHON_MODULE -D__PYTHRAN__=3 -I/tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/tmp/pip-build-env-nrh1vxtt/overlay/local/lib/python3.11/dist-packages/numpy/core/include -I/usr/include/python3.11 -c'
2024-04-29T00:34:25,895   extra options: '-std=c++11 -fno-math-errno -fvisibility=hidden -fno-wrapv -Wno-unused-function -Wno-int-in-bool-context -Wno-unknown-warning-option -O3 -march=native -DUSE_XSIMD'
2024-04-29T00:34:25,895   INFO: arm-linux-gnueabihf-gcc: fluidsim/operators/__pythran__/operators2d.cpp
2024-04-29T00:34:39,041   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:61,
2024-04-29T00:34:39,041                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/nditerator.hpp:7,
2024-04-29T00:34:39,042                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/tuple.hpp:5,
2024-04-29T00:34:39,042                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/builtins/bool_.hpp:5,
2024-04-29T00:34:39,043                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/builtins/bool_.hpp:4,
2024-04-29T00:34:39,043                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/NoneType.hpp:6,
2024-04-29T00:34:39,044                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/slice.hpp:5,
2024-04-29T00:34:39,045                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/core.hpp:46,
2024-04-29T00:34:39,046                    from fluidsim/operators/__pythran__/operators2d.cpp:1:
2024-04-29T00:34:39,046   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>::batch(T) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:39,047   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:79:36:   required from ‘{anonymous}::pythonic::types::broadcast_base<dtype, true>::broadcast_base(V) [with V = double; dtype = double]’
2024-04-29T00:34:39,048   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_broadcast.hpp:87:37:   required from ‘{anonymous}::pythonic::types::broadcast<T, B>::broadcast(V) [with V = double; T = double; B = double]’
2024-04-29T00:34:39,049   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/numpy_binary_op.hpp:17:58:   required from ‘typename std::enable_if<{anonymous}::pythonic::types::valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename {anonymous}::pythonic::types::adapt_type<E0, E1>::type, typename {anonymous}::pythonic::types::adapt_type<E1, E0>::type> >::type {anonymous}::pythonic::types::operator*(E0&&, E1&&) [with E0 = double; E1 = ndarray<double, pshape<long int, long int> >&; typename std::enable_if<valid_numop_parameters<typename std::decay<_Tp>::type, typename std::decay<_Tp2>::type>::value, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, typename adapt_type<E0, E1>::type, typename adapt_type<E1, E0>::type> >::type = numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int> >&>; typename adapt_type<E0, E1>::type = broadcast<double, double>; typename adapt_type<E1, E0>::type = ndarray<double, pshape<long int, long int> >&; typename std::decay<_Tp>::type = double; typename std::decay<_Tp2>::type = std::decay<ndarray<double, pshape<long int, long int> >&>::type]’
2024-04-29T00:34:39,049   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = double; B = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; decltype ((forward<A>(a) * forward<B>(b))) = {anonymous}::pythonic::types::numpy_expr<functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:39,050   fluidsim/operators/__pythran__/operators2d.cpp:430:91:   required from ‘typename {anonymous}::__pythran_operators2d::__for_method__OperatorsPseudoSpectral2D__get_phases_random::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators2d::__for_method__OperatorsPseudoSpectral2D__get_phases_random::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = double; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:39,052   fluidsim/operators/__pythran__/operators2d.cpp:444:127:   required from here
2024-04-29T00:34:39,052   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:504:69: error: no matching function for call to ‘xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::batch<float, xsimd::neon>)’
2024-04-29T00:34:39,053     504 |         : types::simd_register<T, A>(kernel::broadcast<A>(val, A {}))
2024-04-29T00:34:39,054         |                                                                     ^
2024-04-29T00:34:39,055   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././././xsimd_sse2_register.hpp:16,
2024-04-29T00:34:39,055                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././xsimd_sse3_register.hpp:15,
2024-04-29T00:34:39,056                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./././xsimd_ssse3_register.hpp:15,
2024-04-29T00:34:39,057                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././xsimd_sse4_1_register.hpp:15,
2024-04-29T00:34:39,058                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/./xsimd_sse4_2_register.hpp:15,
2024-04-29T00:34:39,058                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_fma3_sse_register.hpp:15,
2024-04-29T00:34:39,059                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/xsimd_all_registers.hpp:12,
2024-04-29T00:34:39,060                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/xsimd_arch.hpp:19,
2024-04-29T00:34:39,060                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/xsimd_aligned_allocator.hpp:27,
2024-04-29T00:34:39,061                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:56:
2024-04-29T00:34:39,062   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register()’
2024-04-29T00:34:39,063      27 |         struct simd_register
2024-04-29T00:34:39,063         |                ^~~~~~~~~~~~~
2024-04-29T00:34:39,064   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   candidate expects 0 arguments, 1 provided
2024-04-29T00:34:39,065   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(const xsimd::types::simd_register<double, xsimd::neon>&)’
2024-04-29T00:34:39,065   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘const xsimd::types::simd_register<double, xsimd::neon>&’
2024-04-29T00:34:39,066   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note: candidate: ‘constexpr xsimd::types::simd_register<double, xsimd::neon>::simd_register(xsimd::types::simd_register<double, xsimd::neon>&&)’
2024-04-29T00:34:39,066   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/memory/../config/../types/././././././xsimd_register.hpp:27:16: note:   no known conversion for argument 1 from ‘xsimd::batch<float, xsimd::neon>’ to ‘xsimd::types::simd_register<double, xsimd::neon>&&’
2024-04-29T00:34:43,355   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:100,
2024-04-29T00:34:43,355                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:492:
2024-04-29T00:34:43,356   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp: In instantiation of ‘void xsimd::kernel::store_unaligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; T = double; requires_arch<xsimd::neon> = const xsimd::neon&]’:
2024-04-29T00:34:43,356   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:582:35:   required from ‘void xsimd::batch<T, A>::store_unaligned(U*) const [with U = double; T = double; A = xsimd::neon]’
2024-04-29T00:34:43,357   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; typename E::dtype = double]’
2024-04-29T00:34:43,358   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >]’
2024-04-29T00:34:43,358   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >]’
2024-04-29T00:34:43,359   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   required from ‘void {anonymous}::pythonic::utils::broadcast_copy_dispatcher<E, F, N, D, true>::operator()(E&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >; unsigned int N = 1; unsigned int D = 0]’
2024-04-29T00:34:43,360   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:43,361   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:34:43,361   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:34:43,363   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:43,363   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:43,364   fluidsim/operators/__pythran__/operators2d.cpp:369:387:   required from ‘typename {anonymous}::__pythran_operators2d::compute_increments_dim1::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_operators2d::compute_increments_dim1::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = long int; typename type<argument_type0, argument_type1>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:43,364   fluidsim/operators/__pythran__/operators2d.cpp:541:92:   required from here
2024-04-29T00:34:43,365   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:626:29: error: no matching function for call to ‘store_aligned<xsimd::neon>(double*&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:43,366     626 |             store_aligned<A>(dst, src, A {});
2024-04-29T00:34:43,367         |             ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
2024-04-29T00:34:43,367   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,368     570 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,368         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,369   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:570:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,369   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:569:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,370     569 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 1> = 0>
2024-04-29T00:34:43,370         |                                                                             ^
2024-04-29T00:34:43,371   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 1)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,372     576 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,372         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,373   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:576:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,374   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:575:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,375     575 |         template <class A, class T, detail::enable_sized_signed_t<T, 1> = 0>
2024-04-29T00:34:43,375         |                                                                           ^
2024-04-29T00:34:43,376   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,377     582 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,377         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,378   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:582:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,379   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:581:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,379     581 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 2> = 0>
2024-04-29T00:34:43,380         |                                                                             ^
2024-04-29T00:34:43,381   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 2)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,381     588 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,382         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,382   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:588:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,383   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:587:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,383     587 |         template <class A, class T, detail::enable_sized_signed_t<T, 2> = 0>
2024-04-29T00:34:43,384         |                                                                           ^
2024-04-29T00:34:43,385   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,385     594 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,386         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,386   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:594:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,387   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:593:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,388     593 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 4> = 0>
2024-04-29T00:34:43,388         |                                                                             ^
2024-04-29T00:34:43,389   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 4)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,390     600 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,391         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,391   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:600:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,392   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:599:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,393     599 |         template <class A, class T, detail::enable_sized_signed_t<T, 4> = 0>
2024-04-29T00:34:43,393         |                                                                           ^
2024-04-29T00:34:43,394   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (! std::is_signed<T>::value)) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,395     606 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,396         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,397   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:606:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,397   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:605:77: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,398     605 |         template <class A, class T, detail::enable_sized_unsigned_t<T, 8> = 0>
2024-04-29T00:34:43,398         |                                                                             ^
2024-04-29T00:34:43,399   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && std::is_signed<T>::value) && (sizeof (T) == 8)), int>::type <anonymous> > void xsimd::kernel::store_aligned(T*, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,399     612 |         inline void store_aligned(T* dst, batch<T, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,400         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,400   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:612:21: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,401   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:611:75: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,402     611 |         template <class A, class T, detail::enable_sized_signed_t<T, 8> = 0>
2024-04-29T00:34:43,402         |                                                                           ^
2024-04-29T00:34:43,403   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:21: note: candidate: ‘void xsimd::kernel::store_aligned(float*, const xsimd::batch<float, A>&, requires_arch<xsimd::neon>) [with A = xsimd::neon; requires_arch<xsimd::neon> = const xsimd::neon&]’
2024-04-29T00:34:43,404     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,404         |                     ^~~~~~~~~~~~~
2024-04-29T00:34:43,405   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:618:42: note:   no known conversion for argument 1 from ‘double*’ to ‘float*’
2024-04-29T00:34:43,406     618 |         inline void store_aligned(float* dst, batch<float, A> const& src, requires_arch<neon>) noexcept
2024-04-29T00:34:43,406         |                                   ~~~~~~~^~~
2024-04-29T00:34:43,407   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/xsimd.hpp:66:
2024-04-29T00:34:43,407   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note: candidate: ‘template<class A, class T> void xsimd::store_aligned(T*, const batch<T, A>&)’
2024-04-29T00:34:43,408    2277 |     inline void store_aligned(T* mem, batch<T, A> const& val) noexcept
2024-04-29T00:34:43,409         |                 ^~~~~~~~~~~~~
2024-04-29T00:34:43,409   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:2277:17: note:   candidate expects 2 arguments, 3 provided
2024-04-29T00:34:43,950   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator-=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:43,952   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:224:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator-(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:34:43,953   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/sub.hpp:17:31:   required from ‘decltype ((forward<A>(a) - forward<B>(b))) {anonymous}::pythonic::operator_::sub(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) - forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:43,953   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/sub.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) {anonymous}::pythonic::operator_::functor::sub::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::sub((forward<Types>)(<unnamed>::pythonic::operator_::functor::sub::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:43,954   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:43,955   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:43,955   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:43,956   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:34:43,957   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:34:43,958   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:43,959   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:43,959   fluidsim/operators/__pythran__/operators2d.cpp:369:387:   required from ‘typename {anonymous}::__pythran_operators2d::compute_increments_dim1::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_operators2d::compute_increments_dim1::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = long int; typename type<argument_type0, argument_type1>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:43,960   fluidsim/operators/__pythran__/operators2d.cpp:541:92:   required from here
2024-04-29T00:34:43,961   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:777:38: error: no matching function for call to ‘sub<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:43,961     777 |         return *this = kernel::sub<A>(*this, other, A {});
2024-04-29T00:34:43,962         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:43,963   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::sub(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:43,964     773 |         inline batch<T, A> sub(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:43,965         |                            ^~~
2024-04-29T00:34:43,965   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:773:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:43,966   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:772:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:43,966     772 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:34:43,967         |                                                                     ^
2024-04-29T00:34:43,995   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:494:
2024-04-29T00:34:43,996   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp: In instantiation of ‘struct xsimd::detail::static_check_supported_config_emitter<double, xsimd::neon>’:
2024-04-29T00:34:43,996   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:76:16:   required from ‘struct xsimd::detail::static_check_supported_config_emitter<std::complex<double>, xsimd::neon>’
2024-04-29T00:34:43,997   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:91:19:   required from ‘void xsimd::detail::static_check_supported_config() [with T = std::complex<double>; A = xsimd::neon]’
2024-04-29T00:34:43,998   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1369:55:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:34:43,998   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:34:43,999   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:44,000   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,001   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,001   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,002   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,003   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,004   fluidsim/operators/__pythran__/operators2d.cpp:388:16:   required from ‘typename {anonymous}::__pythran_operators2d::invlaplacian_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators2d::invlaplacian_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = long int; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:44,004   fluidsim/operators/__pythran__/operators2d.cpp:573:85:   required from here
2024-04-29T00:34:44,005   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: error: static assertion failed: usage of batch type with unsupported type
2024-04-29T00:34:44,006      71 |             static_assert(!A::supported() || xsimd::has_simd_register<T, A>::value,
2024-04-29T00:34:44,006         |                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:44,007   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/./xsimd_traits.hpp:71:43: note: ‘((! xsimd::neon::supported()) || ((bool)std::integral_constant<bool, false>::value))’ evaluates to false
2024-04-29T00:34:44,110   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:19,
2024-04-29T00:34:44,110                    from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:120:
2024-04-29T00:34:44,111   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<R, A> xsimd::kernel::detail::load_unaligned(const T_in*, xsimd::kernel::convert<T_out>, xsimd::kernel::requires_arch<xsimd::generic>, with_slow_conversion) [with A = xsimd::neon; T_in = double; T_out = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:44,111   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:283:45:   required from ‘xsimd::batch<R, A> xsimd::kernel::load_unaligned(const T_in*, convert<T_out>, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_in = double; T_out = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:44,112   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1285:41:   required from ‘xsimd::simd_return_type<From, To, A> xsimd::load_as(const From*, unaligned_mode) [with To = double; A = neon; From = double; simd_return_type<From, To, A> = batch<double, neon>]’
2024-04-29T00:34:44,113   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = double]’
2024-04-29T00:34:44,113   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:44,114   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >; Op = {anonymous}::pythonic::operator_::functor::sub; Iters = {{anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,115   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,116   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:34:44,117   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; unsigned int N = 2; int D = 0; bool vector_form = true]’
2024-04-29T00:34:44,117   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::sub, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> > >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,118   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::sub; Args = {{anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >, {anonymous}::pythonic::types::numpy_gexpr<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::cstride_normalized_slice<1>, {anonymous}::pythonic::types::cstride_normalized_slice<1> >}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,119   fluidsim/operators/__pythran__/operators2d.cpp:369:387:   required from ‘typename {anonymous}::__pythran_operators2d::compute_increments_dim1::type<argument_type0, argument_type1>::result_type {anonymous}::__pythran_operators2d::compute_increments_dim1::operator()(argument_type0, argument_type1) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = long int; typename type<argument_type0, argument_type1>::result_type = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:44,120   fluidsim/operators/__pythran__/operators2d.cpp:541:92:   required from here
2024-04-29T00:34:44,121   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: error: static assertion failed: there should be a direct load for this type combination
2024-04-29T00:34:44,121     276 |                 static_assert(!std::is_same<T_in, T_out>::value, "there should be a direct load for this type combination");
2024-04-29T00:34:44,122         |                                                           ^~~~~
2024-04-29T00:34:44,123   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:276:59: note: ‘!(bool)std::integral_constant<bool, true>::value’ evaluates to false
2024-04-29T00:34:44,141   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_high(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:44,142   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:620:49:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:44,143   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:34:44,143   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:34:44,144   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:44,144   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:44,145   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,146   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,146   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,147   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,148   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,148   fluidsim/operators/__pythran__/operators2d.cpp:388:16:   required from ‘typename {anonymous}::__pythran_operators2d::invlaplacian_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators2d::invlaplacian_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = long int; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:44,149   fluidsim/operators/__pythran__/operators2d.cpp:573:85:   required from here
2024-04-29T00:34:44,150   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: error: static assertion failed: complex_high not implemented for the required architecture
2024-04-29T00:34:44,150     572 |                 static_assert(std::is_same<T, void>::value, "complex_high not implemented for the required architecture");
2024-04-29T00:34:44,151         |                                                      ^~~~~
2024-04-29T00:34:44,152   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:572:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:34:44,152   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:573:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:34:44,153     573 |             }
2024-04-29T00:34:44,153         |             ^
2024-04-29T00:34:44,154   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<T, A> xsimd::kernel::detail::complex_low(const xsimd::batch<std::complex<_Up>, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:44,155   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:621:48:   required from ‘void xsimd::kernel::store_complex_unaligned(std::complex<_Up>*, const xsimd::batch<std::complex<T>, A>&, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:44,155   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:1192:47:   required from ‘void xsimd::batch<std::complex<_Tp>, A>::store_unaligned(value_type*) const [with T = double; A = xsimd::neon; value_type = std::complex<double>]’
2024-04-29T00:34:44,156   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:217:24:   required from ‘void {anonymous}::pythonic::types::const_simd_nditerator<E>::store(const xsimd::batch<typename E::dtype>&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>; typename E::dtype = std::complex<double>]’
2024-04-29T00:34:44,157   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:17:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:44,158   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   required from ‘void {anonymous}::pythonic::utils::_broadcast_copy<{anonymous}::pythonic::types::vectorizer_nobroadcast, 1, 0>::operator()(E&&, const F&) [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:44,158   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:239:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,159   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,159   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,160   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,161   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,162   fluidsim/operators/__pythran__/operators2d.cpp:388:16:   required from ‘typename {anonymous}::__pythran_operators2d::invlaplacian_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators2d::invlaplacian_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = long int; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:44,162   fluidsim/operators/__pythran__/operators2d.cpp:573:85:   required from here
2024-04-29T00:34:44,163   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: error: static assertion failed: complex_low not implemented for the required architecture
2024-04-29T00:34:44,164     578 |                 static_assert(std::is_same<T, void>::value, "complex_low not implemented for the required architecture");
2024-04-29T00:34:44,164         |                                                      ^~~~~
2024-04-29T00:34:44,165   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:578:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:34:44,166   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:579:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:34:44,167     579 |             }
2024-04-29T00:34:44,167         |             ^
2024-04-29T00:34:44,228   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator+=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:44,229   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:218:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator+(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:34:44,230   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/add.hpp:16:31:   required from ‘decltype ((forward<A>(a) + forward<B>(b))) {anonymous}::pythonic::operator_::add(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) + forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:44,231   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/add.hpp:16:3:   required from ‘decltype ({anonymous}::pythonic::operator_::add((forward<Types>)(<unnamed>::pythonic::operator_::functor::add::operator()::types)...)) {anonymous}::pythonic::operator_::functor::add::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::add((forward<Types>)(<unnamed>::pythonic::operator_::functor::add::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:44,232   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >; Op = {anonymous}::pythonic::operator_::functor::add; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,233   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >; Op = {anonymous}::pythonic::operator_::functor::add; Iters = {{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >, {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >, {anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> > >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,233   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,234   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,235   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::add; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,236   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/tuple.hpp:79:13:   required from ‘{anonymous}::pythonic::types::array_base<T, N, V> {anonymous}::pythonic::types::array_to_array(const A&, {anonymous}::pythonic::utils::index_sequence<Is ...>) [with T = ndarray<double, pshape<long int, long int> >; unsigned int N = 2; V = tuple_version; A = array_base<numpy_expr<{anonymous}::pythonic::operator_::functor::add, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int> >&>, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int> >&> >, 2, tuple_version>; unsigned int ...I = {0, 1}; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,237   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/tuple.hpp:355:36:   required from ‘{anonymous}::pythonic::types::array_base<T, N, V>::operator {anonymous}::pythonic::types::array_base<Tp, N, Version>() const [with Tp = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; T = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; Version = {anonymous}::pythonic::types::tuple_version]’
2024-04-29T00:34:44,237   fluidsim/operators/__pythran__/operators2d.cpp:430:1174:   required from ‘typename {anonymous}::__pythran_operators2d::__for_method__OperatorsPseudoSpectral2D__get_phases_random::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators2d::__for_method__OperatorsPseudoSpectral2D__get_phases_random::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = double; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:44,238   fluidsim/operators/__pythran__/operators2d.cpp:444:127:   required from here
2024-04-29T00:34:44,239   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:770:38: error: no matching function for call to ‘add<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:44,240     770 |         return *this = kernel::add<A>(*this, other, A {});
2024-04-29T00:34:44,240         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:44,241   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note: candidate: ‘template<class A, class T, typename std::enable_if<(std::is_integral<_Size>::value || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::add(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:44,241     736 |         inline batch<T, A> add(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:44,242         |                            ^~~
2024-04-29T00:34:44,242   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:736:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:44,243   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:735:69: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:44,244     735 |         template <class A, class T, detail::enable_neon_type_t<T> = 0>
2024-04-29T00:34:44,244         |                                                                     ^
2024-04-29T00:34:44,282   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp: In instantiation of ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::detail::load_complex(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, xsimd::kernel::requires_arch<xsimd::generic>) [with A = xsimd::neon; T = double; xsimd::kernel::requires_arch<xsimd::generic> = const xsimd::generic&]’:
2024-04-29T00:34:44,283   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:600:40:   required from ‘xsimd::batch<std::complex<_Up>, A> xsimd::kernel::load_complex_unaligned(const std::complex<T>*, convert<std::complex<_Up> >, requires_arch<xsimd::generic>) [with A = xsimd::neon; T_out = double; T_in = double; requires_arch<xsimd::generic> = const xsimd::generic&]’
2024-04-29T00:34:44,284   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1300:49:   required from ‘xsimd::simd_return_type<std::complex<T>, To, A> xsimd::load_as(const std::complex<T>*, unaligned_mode) [with To = std::complex<double>; A = neon; From = double; simd_return_type<std::complex<T>, To, A> = batch<std::complex<double>, neon>]’
2024-04-29T00:34:44,285   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_api.hpp:1370:32:   required from ‘xsimd::batch<T, A> xsimd::load_unaligned(const From*) [with A = neon; From = std::complex<double>]’
2024-04-29T00:34:44,285   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/nditerator.hpp:210:33:   required from ‘decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->{anonymous}::pythonic::types::const_simd_nditerator<E>::data)) {anonymous}::pythonic::types::const_simd_nditerator<E>::operator*() const [with E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>; decltype (xsimd::load_unaligned(((const {anonymous}::pythonic::types::const_simd_nditerator<E>*)this)->data)) = xsimd::batch<std::complex<double>, xsimd::neon>]’
2024-04-29T00:34:44,286   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:184:18:   required from ‘void {anonymous}::pythonic::utils::vbroadcast_copy(E&&, const F&) [with vectorizer = {anonymous}::pythonic::types::vectorizer_nobroadcast; E = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>&; F = {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&>]’
2024-04-29T00:34:44,287   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:215:60:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,287   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:257:65:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy_helper(E&, const F&, std::integral_constant<bool, true>, std::integral_constant<bool, false>) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,288   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/utils/broadcast_copy.hpp:300:58:   required from ‘E& {anonymous}::pythonic::utils::broadcast_copy(E&, const F&) [with E = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&; F = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; unsigned int N = 2; int D = 0; bool vector_form = false]’
2024-04-29T00:34:44,289   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::div, {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,289   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::div; Args = {{anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >&, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&}; T = std::complex<double>; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,290   fluidsim/operators/__pythran__/operators2d.cpp:388:16:   required from ‘typename {anonymous}::__pythran_operators2d::invlaplacian_fft::type<argument_type0, argument_type1, argument_type2>::result_type {anonymous}::__pythran_operators2d::invlaplacian_fft::operator()(argument_type0, argument_type1, argument_type2) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = long int; typename type<argument_type0, argument_type1, argument_type2>::result_type = {anonymous}::pythonic::types::ndarray<std::complex<double>, {anonymous}::pythonic::types::pshape<long int, long int> >]’
2024-04-29T00:34:44,291   fluidsim/operators/__pythran__/operators2d.cpp:573:85:   required from here
2024-04-29T00:34:44,292   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: error: static assertion failed: load_complex not implemented for the required architecture
2024-04-29T00:34:44,293     566 |                 static_assert(std::is_same<T, void>::value, "load_complex not implemented for the required architecture");
2024-04-29T00:34:44,293         |                                                      ^~~~~
2024-04-29T00:34:44,294   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:566:54: note: ‘std::integral_constant<bool, false>::value’ evaluates to false
2024-04-29T00:34:44,294   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_memory.hpp:567:13: warning: no return statement in function returning non-void [-Wreturn-type]
2024-04-29T00:34:44,295     567 |             }
2024-04-29T00:34:44,296         |             ^
2024-04-29T00:34:44,331   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp: In instantiation of ‘xsimd::batch<T, A>& xsimd::batch<T, A>::operator*=(const xsimd::batch<T, A>&) [with T = double; A = xsimd::neon]’:
2024-04-29T00:34:44,332   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:230:32:   required from ‘xsimd::batch<double, xsimd::neon> xsimd::operator*(const batch<double, neon>&, const batch<double, neon>&)’
2024-04-29T00:34:44,333   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/operator_/mul.hpp:17:31:   required from ‘decltype ((forward<A>(a) * forward<B>(b))) {anonymous}::pythonic::operator_::mul(A&&, B&&) [with A = xsimd::batch<double, xsimd::neon>; B = xsimd::batch<double, xsimd::neon>; decltype ((forward<A>(a) * forward<B>(b))) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:44,333   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/operator_/mul.hpp:17:3:   required from ‘decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) {anonymous}::pythonic::operator_::functor::mul::operator()(Types&& ...) const [with Types = {xsimd::batch<double, xsimd::neon>, xsimd::batch<double, xsimd::neon>}; decltype ({anonymous}::pythonic::operator_::mul((forward<Types>)(<unnamed>::pythonic::operator_::functor::mul::operator()::types)...)) = xsimd::batch<double, xsimd::neon>]’
2024-04-29T00:34:44,334   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:18:   required from ‘decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::index_sequence<Is ...>) const [with unsigned int ...I = {0, 1}; E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (Op{}(*(get<I>)(((const <unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>*)this)-><unnamed>::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters ...>::iters_)...)) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,335   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:439:26:   required from ‘decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::operator*() const [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; Op = {anonymous}::pythonic::operator_::functor::mul; Iters = {{anonymous}::pythonic::types::const_broadcast_iterator<xsimd::batch<double, xsimd::neon> >, {anonymous}::pythonic::types::const_simd_nditerator<{anonymous}::pythonic::types::numpy_iexpr<const {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >}; decltype (((const {anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>*)this)->{anonymous}::pythonic::types::numpy_expr_simd_iterator_nobroadcast<E, Op, Iters>::_dereference({anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)>{})) = xsimd::batch<double, xsimd::neon>; {anonymous}::pythonic::utils::make_index_sequence<sizeof... (t0)> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,336   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/include/types/numpy_expr.hpp:433:20:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
2024-04-29T00:34:44,336   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:470:77:   required from ‘void {anonymous}::pythonic::types::ndarray<T, pS>::initialize_from_expr(const E&) [with E = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,337   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/ndarray.hpp:480:25:   required from ‘{anonymous}::pythonic::types::ndarray<T, pS>::ndarray(const {anonymous}::pythonic::types::numpy_expr<Op, Args ...>&) [with Op = {anonymous}::pythonic::operator_::functor::add; Args = {{anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>}; T = double; pS = {anonymous}::pythonic::types::pshape<long int, long int>]’
2024-04-29T00:34:44,338   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/tuple.hpp:79:13:   required from ‘{anonymous}::pythonic::types::array_base<T, N, V> {anonymous}::pythonic::types::array_to_array(const A&, {anonymous}::pythonic::utils::index_sequence<Is ...>) [with T = ndarray<double, pshape<long int, long int> >; unsigned int N = 2; V = tuple_version; A = array_base<numpy_expr<{anonymous}::pythonic::operator_::functor::add, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int> >&>, numpy_expr<{anonymous}::pythonic::operator_::functor::mul, broadcast<double, double>, ndarray<double, pshape<long int, long int> >&> >, 2, tuple_version>; unsigned int ...I = {0, 1}; {anonymous}::pythonic::utils::index_sequence<Is ...> = {anonymous}::pythonic::utils::integer_sequence<unsigned int, 0, 1>]’
2024-04-29T00:34:44,339   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/pythonic/types/tuple.hpp:355:36:   required from ‘{anonymous}::pythonic::types::array_base<T, N, V>::operator {anonymous}::pythonic::types::array_base<Tp, N, Version>() const [with Tp = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; T = {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::add, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&>, {anonymous}::pythonic::types::numpy_expr<{anonymous}::pythonic::operator_::functor::mul, {anonymous}::pythonic::types::broadcast<double, double>, {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >&> >; unsigned int N = 2; Version = {anonymous}::pythonic::types::tuple_version]’
2024-04-29T00:34:44,340   fluidsim/operators/__pythran__/operators2d.cpp:430:1174:   required from ‘typename {anonymous}::__pythran_operators2d::__for_method__OperatorsPseudoSpectral2D__get_phases_random::type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type {anonymous}::__pythran_operators2d::__for_method__OperatorsPseudoSpectral2D__get_phases_random::operator()(argument_type0, argument_type1, argument_type2, argument_type3) const [with argument_type0 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type1 = {anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >; argument_type2 = double; argument_type3 = double; typename type<argument_type0, argument_type1, argument_type2, argument_type3>::result_type = {anonymous}::pythonic::types::array_base<{anonymous}::pythonic::types::ndarray<double, {anonymous}::pythonic::types::pshape<long int, long int> >, 2, {anonymous}::pythonic::types::tuple_version>]’
2024-04-29T00:34:44,340   fluidsim/operators/__pythran__/operators2d.cpp:444:127:   required from here
2024-04-29T00:34:44,341   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/xsimd_batch.hpp:784:38: error: no matching function for call to ‘mul<xsimd::neon>(xsimd::batch<double, xsimd::neon>&, const xsimd::batch<double, xsimd::neon>&, xsimd::neon)’
2024-04-29T00:34:44,342     784 |         return *this = kernel::mul<A>(*this, other, A {});
2024-04-29T00:34:44,343         |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
2024-04-29T00:34:44,343   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic.hpp:15:
2024-04-29T00:34:44,344   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note: candidate: ‘template<class A, class T, class> xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::generic>)’
2024-04-29T00:34:44,345     160 |         inline batch<T, A> mul(batch<T, A> const& self, batch<T, A> const& other, requires_arch<generic>) noexcept
2024-04-29T00:34:44,345         |                            ^~~
2024-04-29T00:34:44,346   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/././generic/xsimd_generic_arithmetic.hpp:160:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:44,346   In file included from /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/xsimd_isa.hpp:17:
2024-04-29T00:34:44,347   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_generic_fwd.hpp:32:37: error: no type named ‘type’ in ‘struct std::enable_if<false, void>’
2024-04-29T00:34:44,348      32 |         template <class A, class T, class = typename std::enable_if<std::is_integral<T>::value, void>::type>
2024-04-29T00:34:44,348         |                                     ^~~~~
2024-04-29T00:34:44,349   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note: candidate: ‘template<class A, class T, typename std::enable_if<((std::is_integral<_Size>::value && (sizeof (T) != 8)) || std::is_same<T, float>::value), int>::type <anonymous> > xsimd::batch<T, A> xsimd::kernel::mul(const xsimd::batch<T, A>&, const xsimd::batch<T, A>&, requires_arch<xsimd::neon>)’
2024-04-29T00:34:44,349     810 |         inline batch<T, A> mul(batch<T, A> const& lhs, batch<T, A> const& rhs, requires_arch<neon>) noexcept
2024-04-29T00:34:44,350         |                            ^~~
2024-04-29T00:34:44,351   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:810:28: note:   template argument deduction/substitution failed:
2024-04-29T00:34:44,352   /tmp/pip-build-env-nrh1vxtt/normal/local/lib/python3.11/dist-packages/pythran/xsimd/types/../arch/./xsimd_neon.hpp:809:71: error: no type named ‘type’ in ‘struct std::enable_if<false, int>’
2024-04-29T00:34:44,352     809 |         template <class A, class T, detail::exclude_int64_neon_t<T> = 0>
2024-04-29T00:34:44,353         |                                                                       ^
2024-04-29T00:34:45,048   cc1plus: note: unrecognized command-line option ‘-Wno-unknown-warning-option’ may have been intended to silence earlier diagnostics
2024-04-29T00:34:45,089   Extensions built: ['fluidsim.base.time_stepping.__pythran__.pseudo_spect', 'fluidsim.base.output.__pythran__.increments', 'fluidsim.base.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns3d.forcing.__pythran__.watu', 'fluidsim.solvers.ns3d.strat.__pythran__.solver', 'fluidsim.solvers.ns3d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns2d.__pythran__.solver', 'fluidsim.solvers.ns2d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.util.__pythran__.mini_oper_modif_resol', 'fluidsim.operators.__pythran__.operators3d', 'fluidsim.operators.__pythran__.operators2d']
2024-04-29T00:34:45,091   Extensions built: ['fluidsim.base.time_stepping.__pythran__.pseudo_spect', 'fluidsim.base.output.__pythran__.increments', 'fluidsim.base.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns3d.forcing.__pythran__.watu', 'fluidsim.solvers.ns3d.strat.__pythran__.solver', 'fluidsim.solvers.ns3d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.solvers.ns2d.__pythran__.solver', 'fluidsim.solvers.ns2d.output.__pythran__.spatiotemporal_spectra', 'fluidsim.util.__pythran__.mini_oper_modif_resol', 'fluidsim.operators.__pythran__.operators3d', 'fluidsim.operators.__pythran__.operators2d']
2024-04-29T00:34:45,117   installing to build/bdist.linux-armv7l/wheel
2024-04-29T00:34:45,118   running install
2024-04-29T00:34:45,143   running install_lib
2024-04-29T00:34:45,159   creating build/bdist.linux-armv7l
2024-04-29T00:34:45,160   creating build/bdist.linux-armv7l/wheel
2024-04-29T00:34:45,162   creating build/bdist.linux-armv7l/wheel/fluidsim
2024-04-29T00:34:45,163   copying build/lib.linux-armv7l-cpython-311/fluidsim/magic.py -> build/bdist.linux-armv7l/wheel/fluidsim
2024-04-29T00:34:45,167   creating build/bdist.linux-armv7l/wheel/fluidsim/base
2024-04-29T00:34:45,169   creating build/bdist.linux-armv7l/wheel/fluidsim/base/preprocess
2024-04-29T00:34:45,170   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess/test.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/preprocess
2024-04-29T00:34:45,172   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess/pseudo_spect.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/preprocess
2024-04-29T00:34:45,175   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/preprocess
2024-04-29T00:34:45,177   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/preprocess/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/preprocess
2024-04-29T00:34:45,179   creating build/bdist.linux-armv7l/wheel/fluidsim/base/test
2024-04-29T00:34:45,181   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/test/test_base_solver_ps.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/test
2024-04-29T00:34:45,183   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/test/test_base_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/test
2024-04-29T00:34:45,185   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/test/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/test
2024-04-29T00:34:45,186   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/test/test_params.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/test
2024-04-29T00:34:45,189   creating build/bdist.linux-armv7l/wheel/fluidsim/base/time_stepping
2024-04-29T00:34:45,190   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping/finite_diff.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/time_stepping
2024-04-29T00:34:45,193   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping/pseudo_spect.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/time_stepping
2024-04-29T00:34:45,195   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/time_stepping
2024-04-29T00:34:45,198   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/time_stepping
2024-04-29T00:34:45,200   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/time_stepping/simple.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/time_stepping
2024-04-29T00:34:45,202   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/base
2024-04-29T00:34:45,206   creating build/bdist.linux-armv7l/wheel/fluidsim/base/sphericalharmo
2024-04-29T00:34:45,207   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/sphericalharmo
2024-04-29T00:34:45,209   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo/phys_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/sphericalharmo
2024-04-29T00:34:45,211   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/sphericalharmo
2024-04-29T00:34:45,213   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/sphericalharmo
2024-04-29T00:34:45,215   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/sphericalharmo/output.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/sphericalharmo
2024-04-29T00:34:45,218   creating build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,219   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/test_kolmogorov.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,221   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/anisotropic.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,224   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/kolmogorov.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,227   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,229   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,231   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/specific.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,234   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/forcing/milestone.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/forcing
2024-04-29T00:34:45,236   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/base
2024-04-29T00:34:45,239   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/params.py -> build/bdist.linux-armv7l/wheel/fluidsim/base
2024-04-29T00:34:45,241   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/setofvariables.py -> build/bdist.linux-armv7l/wheel/fluidsim/base
2024-04-29T00:34:45,243   creating build/bdist.linux-armv7l/wheel/fluidsim/base/solvers
2024-04-29T00:34:45,245   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers/finite_diff.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/solvers
2024-04-29T00:34:45,247   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers/info_base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/solvers
2024-04-29T00:34:45,249   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers/pseudo_spect.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/solvers
2024-04-29T00:34:45,251   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/solvers
2024-04-29T00:34:45,253   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/solvers/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/solvers
2024-04-29T00:34:45,255   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base
2024-04-29T00:34:45,257   creating build/bdist.linux-armv7l/wheel/fluidsim/base/turb_model
2024-04-29T00:34:45,259   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model/test_turb_model.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/turb_model
2024-04-29T00:34:45,261   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model/smagorinsky.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/turb_model
2024-04-29T00:34:45,263   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/turb_model
2024-04-29T00:34:45,265   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/turb_model
2024-04-29T00:34:45,267   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/turb_model/stress_tensor.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/turb_model
2024-04-29T00:34:45,271   creating build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,272   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/phys_fields1d.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,274   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/prob_dens_func.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,277   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,280   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,282   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/phys_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,285   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/spectra3d.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,287   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/time_signals_fft.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,290   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/temporal_spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,293   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/increments.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,296   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,299   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,301   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/phys_fields2d.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,304   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,307   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/spatiotemporal_spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,310   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/spect_energy_budget.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,312   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/horiz_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,315   creating build/bdist.linux-armv7l/wheel/fluidsim/base/output/__pythran__
2024-04-29T00:34:45,316   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpython-311-arm-linux-gnueabihf.so -> build/bdist.linux-armv7l/wheel/fluidsim/base/output/__pythran__
2024-04-29T00:34:45,320   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/spectra_multidim.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,322   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/phys_fields3d.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,325   copying build/lib.linux-armv7l-cpython-311/fluidsim/base/output/cross_corr3d.py -> build/bdist.linux-armv7l/wheel/fluidsim/base/output
2024-04-29T00:34:45,327   copying build/lib.linux-armv7l-cpython-311/fluidsim/_version.py -> build/bdist.linux-armv7l/wheel/fluidsim
2024-04-29T00:34:45,330   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers
2024-04-29T00:34:45,332   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/nl1d
2024-04-29T00:34:45,333   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/nl1d
2024-04-29T00:34:45,336   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/nl1d
2024-04-29T00:34:45,338   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/nl1d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/nl1d
2024-04-29T00:34:45,340   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d
2024-04-29T00:34:45,342   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d
2024-04-29T00:34:45,344   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d
2024-04-29T00:34:45,346   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d
2024-04-29T00:34:45,349   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d/skew_sym
2024-04-29T00:34:45,350   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d/skew_sym
2024-04-29T00:34:45,352   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d/skew_sym
2024-04-29T00:34:45,354   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/burgers1d/skew_sym/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/burgers1d/skew_sym
2024-04-29T00:34:45,356   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,357   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/operators.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,360   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,362   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/test_dimensional.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,364   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,366   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,368   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,370   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,373   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/forcing.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,376   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d/output
2024-04-29T00:34:45,377   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d/output
2024-04-29T00:34:45,379   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d/output
2024-04-29T00:34:45,382   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d/output
2024-04-29T00:34:45,384   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d/output
2024-04-29T00:34:45,386   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/output/correlations_freq.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d/output
2024-04-29T00:34:45,389   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/plate2d/dimensional.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/plate2d
2024-04-29T00:34:45,391   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,393   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/try_save.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,395   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,398   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,401   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/bouss
2024-04-29T00:34:45,402   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/bouss
2024-04-29T00:34:45,404   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/bouss
2024-04-29T00:34:45,406   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/bouss/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/bouss
2024-04-29T00:34:45,408   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/forcing
2024-04-29T00:34:45,410   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/forcing
2024-04-29T00:34:45,412   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing/milestone.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/forcing
2024-04-29T00:34:45,414   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/forcing/watu.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/forcing
2024-04-29T00:34:45,417   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/try_load.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,418   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/time_stepping.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,421   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,423   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,425   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d
2024-04-29T00:34:45,428   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat
2024-04-29T00:34:45,429   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat
2024-04-29T00:34:45,432   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat
2024-04-29T00:34:45,434   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat
2024-04-29T00:34:45,435   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat
2024-04-29T00:34:45,438   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat/output
2024-04-29T00:34:45,439   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat/output
2024-04-29T00:34:45,442   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat/output
2024-04-29T00:34:45,444   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat/output
2024-04-29T00:34:45,446   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/strat/output/spect_energy_budget.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/strat/output
2024-04-29T00:34:45,449   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,450   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,453   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,456   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,458   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,460   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/spatiotemporal_spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,462   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns3d/output/spect_energy_budget.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns3d/output
2024-04-29T00:34:45,465   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/waves2d
2024-04-29T00:34:45,466   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/waves2d
2024-04-29T00:34:45,469   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/waves2d
2024-04-29T00:34:45,470   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/waves2d
2024-04-29T00:34:45,472   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/waves2d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/waves2d
2024-04-29T00:34:45,475   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d
2024-04-29T00:34:45,476   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d
2024-04-29T00:34:45,478   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d
2024-04-29T00:34:45,481   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d
2024-04-29T00:34:45,483   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/pseudo_spect
2024-04-29T00:34:45,484   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/pseudo_spect
2024-04-29T00:34:45,486   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/pseudo_spect
2024-04-29T00:34:45,488   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/pseudo_spect
2024-04-29T00:34:45,490   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/pseudo_spect/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/pseudo_spect
2024-04-29T00:34:45,492   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d
2024-04-29T00:34:45,493   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d
2024-04-29T00:34:45,496   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/output
2024-04-29T00:34:45,497   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/output
2024-04-29T00:34:45,499   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ad1d/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ad1d/output
2024-04-29T00:34:45,502   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere
2024-04-29T00:34:45,503   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/ns2d
2024-04-29T00:34:45,505   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/ns2d
2024-04-29T00:34:45,507   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/ns2d
2024-04-29T00:34:45,509   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/ns2d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/ns2d
2024-04-29T00:34:45,511   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere
2024-04-29T00:34:45,513   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/sw1l
2024-04-29T00:34:45,514   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/sw1l
2024-04-29T00:34:45,517   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/sw1l
2024-04-29T00:34:45,519   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/sw1l
2024-04-29T00:34:45,521   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sphere/sw1l/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sphere/sw1l
2024-04-29T00:34:45,523   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d
2024-04-29T00:34:45,525   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/test_predaprey.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d
2024-04-29T00:34:45,527   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/predaprey
2024-04-29T00:34:45,528   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/predaprey
2024-04-29T00:34:45,530   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/predaprey
2024-04-29T00:34:45,533   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/predaprey/output
2024-04-29T00:34:45,534   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/predaprey/output
2024-04-29T00:34:45,536   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/predaprey/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/predaprey/output
2024-04-29T00:34:45,538   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d
2024-04-29T00:34:45,540   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/test_lorenz.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d
2024-04-29T00:34:45,543   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/lorenz
2024-04-29T00:34:45,544   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/lorenz
2024-04-29T00:34:45,546   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/lorenz
2024-04-29T00:34:45,549   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/lorenz/output
2024-04-29T00:34:45,550   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/lorenz/output
2024-04-29T00:34:45,552   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/models0d/lorenz/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/models0d/lorenz/output
2024-04-29T00:34:45,555   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,556   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,559   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,561   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/bouss
2024-04-29T00:34:45,562   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/bouss
2024-04-29T00:34:45,565   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/bouss
2024-04-29T00:34:45,567   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/bouss
2024-04-29T00:34:45,569   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/bouss/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/bouss
2024-04-29T00:34:45,571   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,573   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,575   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,578   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/forcing.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,580   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,581   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,584   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,586   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/time_stepping.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,588   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,591   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,593   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,596   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/forcing.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat
2024-04-29T00:34:45,598   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,599   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,602   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/_old_miguel_spatio_temporal_spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,605   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,608   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/phys_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,610   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,612   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,615   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/spect_energy_budget.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,617   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/_old_miguel_frequency_spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,620   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/strat/output/spectra_multidim.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/strat/output
2024-04-29T00:34:45,622   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/with_uxuy.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,625   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,626   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,628   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,631   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,633   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,635   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/spatiotemporal_spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,637   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/spect_energy_budget.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,640   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/output/spectra_multidim.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d/output
2024-04-29T00:34:45,642   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/ns2d/test_with_uxuy.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/ns2d
2024-04-29T00:34:45,644   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers
2024-04-29T00:34:45,646   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,647   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/operators.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,650   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,652   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/init_fields.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,655   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/onlywaves
2024-04-29T00:34:45,656   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/onlywaves
2024-04-29T00:34:45,658   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/onlywaves
2024-04-29T00:34:45,661   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/onlywaves
2024-04-29T00:34:45,663   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/onlywaves
2024-04-29T00:34:45,665   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/onlywaves/output.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/onlywaves
2024-04-29T00:34:45,666   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,669   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/modified
2024-04-29T00:34:45,671   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/modified
2024-04-29T00:34:45,673   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/modified
2024-04-29T00:34:45,675   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/modified
2024-04-29T00:34:45,677   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/modified
2024-04-29T00:34:45,679   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/modified/output.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/modified
2024-04-29T00:34:45,681   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,683   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,685   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/forcing.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,688   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin
2024-04-29T00:34:45,689   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin
2024-04-29T00:34:45,691   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/state.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin
2024-04-29T00:34:45,694   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin/modified
2024-04-29T00:34:45,695   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified/solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin/modified
2024-04-29T00:34:45,697   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin/modified
2024-04-29T00:34:45,699   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin/modified
2024-04-29T00:34:45,701   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/modified/output.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin/modified
2024-04-29T00:34:45,702   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin
2024-04-29T00:34:45,704   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/exactlin/test_solver.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/exactlin
2024-04-29T00:34:45,706   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/test_operators.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l
2024-04-29T00:34:45,708   creating build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,709   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/spectra.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,712   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,714   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/_old_spect_energy_budg.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,717   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/increments.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,719   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/print_stdout.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,721   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/normal_mode.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,723   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/_old_spatial_means.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,725   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,727   copying build/lib.linux-armv7l-cpython-311/fluidsim/solvers/sw1l/output/spect_energy_budget.py -> build/bdist.linux-armv7l/wheel/fluidsim/solvers/sw1l/output
2024-04-29T00:34:45,730   creating build/bdist.linux-armv7l/wheel/fluidsim/extend_simul
2024-04-29T00:34:45,731   copying build/lib.linux-armv7l-cpython-311/fluidsim/extend_simul/spatial_means_regions_milestone.py -> build/bdist.linux-armv7l/wheel/fluidsim/extend_simul
2024-04-29T00:34:45,733   copying build/lib.linux-armv7l-cpython-311/fluidsim/extend_simul/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/extend_simul
2024-04-29T00:34:45,735   copying build/lib.linux-armv7l-cpython-311/fluidsim/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim
2024-04-29T00:34:45,737   creating build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,738   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/testing.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,740   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/test_util.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,742   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/util.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,745   creating build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,746   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/test_turb_trandom_anisotropic.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,747   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/restart.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,749   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/turb_trandom_anisotropic.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,751   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/modif_resolution.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,753   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/test_restart.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,755   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,756   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/test_ipy_load.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,758   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/test_modif_resolution.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,760   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/scripts/ipy_load.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/scripts
2024-04-29T00:34:45,761   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/mini_oper_modif_resol.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,763   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/frequency_modulation.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,765   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,767   creating build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,768   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/bench.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,770   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/bench_analysis.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,772   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/util.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,774   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/test_bench.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,775   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/__main__.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,777   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,778   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/profile.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,781   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/console/test_profile.py -> build/bdist.linux-armv7l/wheel/fluidsim/util/console
2024-04-29T00:34:45,782   creating build/bdist.linux-armv7l/wheel/fluidsim/util/__pythran__
2024-04-29T00:34:45,783   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/__pythran__/mini_oper_modif_resol.cpython-311-arm-linux-gnueabihf.so -> build/bdist.linux-armv7l/wheel/fluidsim/util/__pythran__
2024-04-29T00:34:45,786   copying build/lib.linux-armv7l-cpython-311/fluidsim/util/output.py -> build/bdist.linux-armv7l/wheel/fluidsim/util
2024-04-29T00:34:45,788   creating build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,789   creating build/bdist.linux-armv7l/wheel/fluidsim/operators/test
2024-04-29T00:34:45,790   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/test/test_operators2d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators/test
2024-04-29T00:34:45,793   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/test/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators/test
2024-04-29T00:34:45,794   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/test/test_operators3d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators/test
2024-04-29T00:34:45,797   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/op_finitediff1d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,798   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/operators3d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,801   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/sphericalharmo.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,802   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/operators0d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,804   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/base.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,806   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/operators2d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,808   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/__init__.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,810   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/operators1d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,812   copying build/lib.linux-armv7l-cpython-311/fluidsim/operators/op_finitediff2d.py -> build/bdist.linux-armv7l/wheel/fluidsim/operators
2024-04-29T00:34:45,814   running install_egg_info
2024-04-29T00:34:45,827   running egg_info
2024-04-29T00:34:45,836   writing fluidsim.egg-info/PKG-INFO
2024-04-29T00:34:45,860   writing dependency_links to fluidsim.egg-info/dependency_links.txt
2024-04-29T00:34:45,862   writing entry points to fluidsim.egg-info/entry_points.txt
2024-04-29T00:34:45,874   writing requirements to fluidsim.egg-info/requires.txt
2024-04-29T00:34:45,875   writing top-level names to fluidsim.egg-info/top_level.txt
2024-04-29T00:34:46,021   ERROR setuptools_scm._file_finders.git listing git files failed - pretending there aren't any
2024-04-29T00:34:46,024   reading manifest file 'fluidsim.egg-info/SOURCES.txt'
2024-04-29T00:34:46,036   reading manifest template 'MANIFEST.in'
2024-04-29T00:34:46,039   no previously-included directories found matching 'doc'
2024-04-29T00:34:46,040   no previously-included directories found matching 'lib'
2024-04-29T00:34:46,041   no previously-included directories found matching 'scripts'
2024-04-29T00:34:46,042   no previously-included directories found matching 'bench'
2024-04-29T00:34:46,043   no previously-included directories found matching 'old'
2024-04-29T00:34:46,044   no previously-included directories found matching '.github'
2024-04-29T00:34:46,045   adding license file 'LICENSE.txt'
2024-04-29T00:34:46,045   adding license file 'AUTHORS.rst'
2024-04-29T00:34:46,058   writing manifest file 'fluidsim.egg-info/SOURCES.txt'
2024-04-29T00:34:46,060   Copying fluidsim.egg-info to build/bdist.linux-armv7l/wheel/fluidsim-0.7.3-py3.11.egg-info
2024-04-29T00:34:46,072   running install_scripts
2024-04-29T00:34:46,145   creating build/bdist.linux-armv7l/wheel/fluidsim-0.7.3.dist-info/WHEEL
2024-04-29T00:34:46,148   creating '/tmp/pip-wheel-u8zz7zts/.tmp-b2epklra/fluidsim-0.7.3-cp311-cp311-linux_armv7l.whl' and adding 'build/bdist.linux-armv7l/wheel' to it
2024-04-29T00:34:46,151   adding 'fluidsim/__init__.py'
2024-04-29T00:34:46,152   adding 'fluidsim/_version.py'
2024-04-29T00:34:46,154   adding 'fluidsim/magic.py'
2024-04-29T00:34:46,155   adding 'fluidsim/base/__init__.py'
2024-04-29T00:34:46,158   adding 'fluidsim/base/init_fields.py'
2024-04-29T00:34:46,159   adding 'fluidsim/base/params.py'
2024-04-29T00:34:46,160   adding 'fluidsim/base/setofvariables.py'
2024-04-29T00:34:46,162   adding 'fluidsim/base/state.py'
2024-04-29T00:34:46,164   adding 'fluidsim/base/forcing/__init__.py'
2024-04-29T00:34:46,166   adding 'fluidsim/base/forcing/anisotropic.py'
2024-04-29T00:34:46,167   adding 'fluidsim/base/forcing/base.py'
2024-04-29T00:34:46,169   adding 'fluidsim/base/forcing/kolmogorov.py'
2024-04-29T00:34:46,171   adding 'fluidsim/base/forcing/milestone.py'
2024-04-29T00:34:46,174   adding 'fluidsim/base/forcing/specific.py'
2024-04-29T00:34:46,176   adding 'fluidsim/base/forcing/test_kolmogorov.py'
2024-04-29T00:34:46,178   adding 'fluidsim/base/output/__init__.py'
2024-04-29T00:34:46,181   adding 'fluidsim/base/output/base.py'
2024-04-29T00:34:46,183   adding 'fluidsim/base/output/cross_corr3d.py'
2024-04-29T00:34:46,184   adding 'fluidsim/base/output/horiz_means.py'
2024-04-29T00:34:46,187   adding 'fluidsim/base/output/increments.py'
2024-04-29T00:34:46,189   adding 'fluidsim/base/output/phys_fields.py'
2024-04-29T00:34:46,190   adding 'fluidsim/base/output/phys_fields1d.py'
2024-04-29T00:34:46,192   adding 'fluidsim/base/output/phys_fields2d.py'
2024-04-29T00:34:46,194   adding 'fluidsim/base/output/phys_fields3d.py'
2024-04-29T00:34:46,195   adding 'fluidsim/base/output/print_stdout.py'
2024-04-29T00:34:46,197   adding 'fluidsim/base/output/prob_dens_func.py'
2024-04-29T00:34:46,198   adding 'fluidsim/base/output/spatial_means.py'
2024-04-29T00:34:46,204   adding 'fluidsim/base/output/spatiotemporal_spectra.py'
2024-04-29T00:34:46,206   adding 'fluidsim/base/output/spect_energy_budget.py'
2024-04-29T00:34:46,208   adding 'fluidsim/base/output/spectra.py'
2024-04-29T00:34:46,210   adding 'fluidsim/base/output/spectra3d.py'
2024-04-29T00:34:46,211   adding 'fluidsim/base/output/spectra_multidim.py'
2024-04-29T00:34:46,215   adding 'fluidsim/base/output/temporal_spectra.py'
2024-04-29T00:34:46,217   adding 'fluidsim/base/output/time_signals_fft.py'
2024-04-29T00:34:46,235   adding 'fluidsim/base/output/__pythran__/spatiotemporal_spectra.cpython-311-arm-linux-gnueabihf.so'
2024-04-29T00:34:46,237   adding 'fluidsim/base/preprocess/__init__.py'
2024-04-29T00:34:46,238   adding 'fluidsim/base/preprocess/base.py'
2024-04-29T00:34:46,240   adding 'fluidsim/base/preprocess/pseudo_spect.py'
2024-04-29T00:34:46,241   adding 'fluidsim/base/preprocess/test.py'
2024-04-29T00:34:46,243   adding 'fluidsim/base/solvers/__init__.py'
2024-04-29T00:34:46,245   adding 'fluidsim/base/solvers/base.py'
2024-04-29T00:34:46,246   adding 'fluidsim/base/solvers/finite_diff.py'
2024-04-29T00:34:46,247   adding 'fluidsim/base/solvers/info_base.py'
2024-04-29T00:34:46,249   adding 'fluidsim/base/solvers/pseudo_spect.py'
2024-04-29T00:34:46,251   adding 'fluidsim/base/sphericalharmo/__init__.py'
2024-04-29T00:34:46,252   adding 'fluidsim/base/sphericalharmo/output.py'
2024-04-29T00:34:46,254   adding 'fluidsim/base/sphericalharmo/phys_fields.py'
2024-04-29T00:34:46,255   adding 'fluidsim/base/sphericalharmo/solver.py'
2024-04-29T00:34:46,257   adding 'fluidsim/base/sphericalharmo/state.py'
2024-04-29T00:34:46,258   adding 'fluidsim/base/test/__init__.py'
2024-04-29T00:34:46,259   adding 'fluidsim/base/test/test_base_solver.py'
2024-04-29T00:34:46,261   adding 'fluidsim/base/test/test_base_solver_ps.py'
2024-04-29T00:34:46,262   adding 'fluidsim/base/test/test_params.py'
2024-04-29T00:34:46,264   adding 'fluidsim/base/time_stepping/__init__.py'
2024-04-29T00:34:46,266   adding 'fluidsim/base/time_stepping/base.py'
2024-04-29T00:34:46,268   adding 'fluidsim/base/time_stepping/finite_diff.py'
2024-04-29T00:34:46,271   adding 'fluidsim/base/time_stepping/pseudo_spect.py'
2024-04-29T00:34:46,273   adding 'fluidsim/base/time_stepping/simple.py'
2024-04-29T00:34:46,274   adding 'fluidsim/base/turb_model/__init__.py'
2024-04-29T00:34:46,276   adding 'fluidsim/base/turb_model/base.py'
2024-04-29T00:34:46,277   adding 'fluidsim/base/turb_model/smagorinsky.py'
2024-04-29T00:34:46,278   adding 'fluidsim/base/turb_model/stress_tensor.py'
2024-04-29T00:34:46,280   adding 'fluidsim/base/turb_model/test_turb_model.py'
2024-04-29T00:34:46,282   adding 'fluidsim/extend_simul/__init__.py'
2024-04-29T00:34:46,284   adding 'fluidsim/extend_simul/spatial_means_regions_milestone.py'
2024-04-29T00:34:46,286   adding 'fluidsim/operators/__init__.py'
2024-04-29T00:34:46,287   adding 'fluidsim/operators/base.py'
2024-04-29T00:34:46,289   adding 'fluidsim/operators/op_finitediff1d.py'
2024-04-29T00:34:46,290   adding 'fluidsim/operators/op_finitediff2d.py'
2024-04-29T00:34:46,291   adding 'fluidsim/operators/operators0d.py'
2024-04-29T00:34:46,293   adding 'fluidsim/operators/operators1d.py'
2024-04-29T00:34:46,296   adding 'fluidsim/operators/operators2d.py'
2024-04-29T00:34:46,300   adding 'fluidsim/operators/operators3d.py'
2024-04-29T00:34:46,302   adding 'fluidsim/operators/sphericalharmo.py'
2024-04-29T00:34:46,303   adding 'fluidsim/operators/test/__init__.py'
2024-04-29T00:34:46,305   adding 'fluidsim/operators/test/test_operators2d.py'
2024-04-29T00:34:46,307   adding 'fluidsim/operators/test/test_operators3d.py'
2024-04-29T00:34:46,309   adding 'fluidsim/solvers/__init__.py'
2024-04-29T00:34:46,311   adding 'fluidsim/solvers/ad1d/__init__.py'
2024-04-29T00:34:46,312   adding 'fluidsim/solvers/ad1d/init_fields.py'
2024-04-29T00:34:46,313   adding 'fluidsim/solvers/ad1d/solver.py'
2024-04-29T00:34:46,315   adding 'fluidsim/solvers/ad1d/state.py'
2024-04-29T00:34:46,316   adding 'fluidsim/solvers/ad1d/test_solver.py'
2024-04-29T00:34:46,318   adding 'fluidsim/solvers/ad1d/output/__init__.py'
2024-04-29T00:34:46,319   adding 'fluidsim/solvers/ad1d/output/print_stdout.py'
2024-04-29T00:34:46,321   adding 'fluidsim/solvers/ad1d/pseudo_spect/__init__.py'
2024-04-29T00:34:46,322   adding 'fluidsim/solvers/ad1d/pseudo_spect/solver.py'
2024-04-29T00:34:46,323   adding 'fluidsim/solvers/ad1d/pseudo_spect/state.py'
2024-04-29T00:34:46,325   adding 'fluidsim/solvers/ad1d/pseudo_spect/test_solver.py'
2024-04-29T00:34:46,326   adding 'fluidsim/solvers/burgers1d/__init__.py'
2024-04-29T00:34:46,328   adding 'fluidsim/solvers/burgers1d/solver.py'
2024-04-29T00:34:46,329   adding 'fluidsim/solvers/burgers1d/test_solver.py'
2024-04-29T00:34:46,330   adding 'fluidsim/solvers/burgers1d/skew_sym/__init__.py'
2024-04-29T00:34:46,331   adding 'fluidsim/solvers/burgers1d/skew_sym/solver.py'
2024-04-29T00:34:46,333   adding 'fluidsim/solvers/burgers1d/skew_sym/test_solver.py'
2024-04-29T00:34:46,334   adding 'fluidsim/solvers/models0d/__init__.py'
2024-04-29T00:34:46,335   adding 'fluidsim/solvers/models0d/test_lorenz.py'
2024-04-29T00:34:46,337   adding 'fluidsim/solvers/models0d/test_predaprey.py'
2024-04-29T00:34:46,338   adding 'fluidsim/solvers/models0d/lorenz/__init__.py'
2024-04-29T00:34:46,339   adding 'fluidsim/solvers/models0d/lorenz/solver.py'
2024-04-29T00:34:46,341   adding 'fluidsim/solvers/models0d/lorenz/output/__init__.py'
2024-04-29T00:34:46,342   adding 'fluidsim/solvers/models0d/lorenz/output/print_stdout.py'
2024-04-29T00:34:46,344   adding 'fluidsim/solvers/models0d/predaprey/__init__.py'
2024-04-29T00:34:46,345   adding 'fluidsim/solvers/models0d/predaprey/solver.py'
2024-04-29T00:34:46,347   adding 'fluidsim/solvers/models0d/predaprey/output/__init__.py'
2024-04-29T00:34:46,349   adding 'fluidsim/solvers/models0d/predaprey/output/print_stdout.py'
2024-04-29T00:34:46,350   adding 'fluidsim/solvers/nl1d/__init__.py'
2024-04-29T00:34:46,352   adding 'fluidsim/solvers/nl1d/solver.py'
2024-04-29T00:34:46,353   adding 'fluidsim/solvers/nl1d/test_solver.py'
2024-04-29T00:34:46,355   adding 'fluidsim/solvers/ns2d/__init__.py'
2024-04-29T00:34:46,356   adding 'fluidsim/solvers/ns2d/forcing.py'
2024-04-29T00:34:46,358   adding 'fluidsim/solvers/ns2d/init_fields.py'
2024-04-29T00:34:46,359   adding 'fluidsim/solvers/ns2d/solver.py'
2024-04-29T00:34:46,361   adding 'fluidsim/solvers/ns2d/state.py'
2024-04-29T00:34:46,363   adding 'fluidsim/solvers/ns2d/test_solver.py'
2024-04-29T00:34:46,364   adding 'fluidsim/solvers/ns2d/test_with_uxuy.py'
2024-04-29T00:34:46,366   adding 'fluidsim/solvers/ns2d/with_uxuy.py'
2024-04-29T00:34:46,367   adding 'fluidsim/solvers/ns2d/bouss/__init__.py'
2024-04-29T00:34:46,369   adding 'fluidsim/solvers/ns2d/bouss/solver.py'
2024-04-29T00:34:46,371   adding 'fluidsim/solvers/ns2d/bouss/state.py'
2024-04-29T00:34:46,372   adding 'fluidsim/solvers/ns2d/bouss/test_solver.py'
2024-04-29T00:34:46,374   adding 'fluidsim/solvers/ns2d/output/__init__.py'
2024-04-29T00:34:46,376   adding 'fluidsim/solvers/ns2d/output/print_stdout.py'
2024-04-29T00:34:46,377   adding 'fluidsim/solvers/ns2d/output/spatial_means.py'
2024-04-29T00:34:46,379   adding 'fluidsim/solvers/ns2d/output/spatiotemporal_spectra.py'
2024-04-29T00:34:46,380   adding 'fluidsim/solvers/ns2d/output/spect_energy_budget.py'
2024-04-29T00:34:46,382   adding 'fluidsim/solvers/ns2d/output/spectra.py'
2024-04-29T00:34:46,383   adding 'fluidsim/solvers/ns2d/output/spectra_multidim.py'
2024-04-29T00:34:46,385   adding 'fluidsim/solvers/ns2d/strat/__init__.py'
2024-04-29T00:34:46,386   adding 'fluidsim/solvers/ns2d/strat/forcing.py'
2024-04-29T00:34:46,388   adding 'fluidsim/solvers/ns2d/strat/init_fields.py'
2024-04-29T00:34:46,389   adding 'fluidsim/solvers/ns2d/strat/solver.py'
2024-04-29T00:34:46,391   adding 'fluidsim/solvers/ns2d/strat/state.py'
2024-04-29T00:34:46,393   adding 'fluidsim/solvers/ns2d/strat/test_solver.py'
2024-04-29T00:34:46,395   adding 'fluidsim/solvers/ns2d/strat/time_stepping.py'
2024-04-29T00:34:46,397   adding 'fluidsim/solvers/ns2d/strat/output/__init__.py'
2024-04-29T00:34:46,399   adding 'fluidsim/solvers/ns2d/strat/output/_old_miguel_frequency_spectra.py'
2024-04-29T00:34:46,403   adding 'fluidsim/solvers/ns2d/strat/output/_old_miguel_spatio_temporal_spectra.py'
2024-04-29T00:34:46,404   adding 'fluidsim/solvers/ns2d/strat/output/phys_fields.py'
2024-04-29T00:34:46,406   adding 'fluidsim/solvers/ns2d/strat/output/print_stdout.py'
2024-04-29T00:34:46,408   adding 'fluidsim/solvers/ns2d/strat/output/spatial_means.py'
2024-04-29T00:34:46,411   adding 'fluidsim/solvers/ns2d/strat/output/spect_energy_budget.py'
2024-04-29T00:34:46,413   adding 'fluidsim/solvers/ns2d/strat/output/spectra.py'
2024-04-29T00:34:46,414   adding 'fluidsim/solvers/ns2d/strat/output/spectra_multidim.py'
2024-04-29T00:34:46,416   adding 'fluidsim/solvers/ns3d/__init__.py'
2024-04-29T00:34:46,418   adding 'fluidsim/solvers/ns3d/init_fields.py'
2024-04-29T00:34:46,420   adding 'fluidsim/solvers/ns3d/solver.py'
2024-04-29T00:34:46,421   adding 'fluidsim/solvers/ns3d/state.py'
2024-04-29T00:34:46,423   adding 'fluidsim/solvers/ns3d/test_solver.py'
2024-04-29T00:34:46,425   adding 'fluidsim/solvers/ns3d/time_stepping.py'
2024-04-29T00:34:46,426   adding 'fluidsim/solvers/ns3d/try_load.py'
2024-04-29T00:34:46,427   adding 'fluidsim/solvers/ns3d/try_save.py'
2024-04-29T00:34:46,429   adding 'fluidsim/solvers/ns3d/bouss/__init__.py'
2024-04-29T00:34:46,430   adding 'fluidsim/solvers/ns3d/bouss/solver.py'
2024-04-29T00:34:46,431   adding 'fluidsim/solvers/ns3d/bouss/test_solver.py'
2024-04-29T00:34:46,433   adding 'fluidsim/solvers/ns3d/forcing/__init__.py'
2024-04-29T00:34:46,435   adding 'fluidsim/solvers/ns3d/forcing/milestone.py'
2024-04-29T00:34:46,436   adding 'fluidsim/solvers/ns3d/forcing/watu.py'
2024-04-29T00:34:46,438   adding 'fluidsim/solvers/ns3d/output/__init__.py'
2024-04-29T00:34:46,440   adding 'fluidsim/solvers/ns3d/output/print_stdout.py'
2024-04-29T00:34:46,442   adding 'fluidsim/solvers/ns3d/output/spatial_means.py'
2024-04-29T00:34:46,443   adding 'fluidsim/solvers/ns3d/output/spatiotemporal_spectra.py'
2024-04-29T00:34:46,445   adding 'fluidsim/solvers/ns3d/output/spect_energy_budget.py'
2024-04-29T00:34:46,447   adding 'fluidsim/solvers/ns3d/output/spectra.py'
2024-04-29T00:34:46,449   adding 'fluidsim/solvers/ns3d/strat/__init__.py'
2024-04-29T00:34:46,451   adding 'fluidsim/solvers/ns3d/strat/solver.py'
2024-04-29T00:34:46,452   adding 'fluidsim/solvers/ns3d/strat/state.py'
2024-04-29T00:34:46,454   adding 'fluidsim/solvers/ns3d/strat/test_solver.py'
2024-04-29T00:34:46,455   adding 'fluidsim/solvers/ns3d/strat/output/__init__.py'
2024-04-29T00:34:46,457   adding 'fluidsim/solvers/ns3d/strat/output/spatial_means.py'
2024-04-29T00:34:46,459   adding 'fluidsim/solvers/ns3d/strat/output/spect_energy_budget.py'
2024-04-29T00:34:46,461   adding 'fluidsim/solvers/ns3d/strat/output/spectra.py'
2024-04-29T00:34:46,463   adding 'fluidsim/solvers/plate2d/__init__.py'
2024-04-29T00:34:46,464   adding 'fluidsim/solvers/plate2d/dimensional.py'
2024-04-29T00:34:46,465   adding 'fluidsim/solvers/plate2d/forcing.py'
2024-04-29T00:34:46,467   adding 'fluidsim/solvers/plate2d/init_fields.py'
2024-04-29T00:34:46,468   adding 'fluidsim/solvers/plate2d/operators.py'
2024-04-29T00:34:46,470   adding 'fluidsim/solvers/plate2d/solver.py'
2024-04-29T00:34:46,471   adding 'fluidsim/solvers/plate2d/state.py'
2024-04-29T00:34:46,472   adding 'fluidsim/solvers/plate2d/test_dimensional.py'
2024-04-29T00:34:46,474   adding 'fluidsim/solvers/plate2d/test_solver.py'
2024-04-29T00:34:46,476   adding 'fluidsim/solvers/plate2d/output/__init__.py'
2024-04-29T00:34:46,479   adding 'fluidsim/solvers/plate2d/output/correlations_freq.py'
2024-04-29T00:34:46,480   adding 'fluidsim/solvers/plate2d/output/print_stdout.py'
2024-04-29T00:34:46,482   adding 'fluidsim/solvers/plate2d/output/spatial_means.py'
2024-04-29T00:34:46,483   adding 'fluidsim/solvers/plate2d/output/spectra.py'
2024-04-29T00:34:46,485   adding 'fluidsim/solvers/sphere/__init__.py'
2024-04-29T00:34:46,487   adding 'fluidsim/solvers/sphere/ns2d/__init__.py'
2024-04-29T00:34:46,488   adding 'fluidsim/solvers/sphere/ns2d/solver.py'
2024-04-29T00:34:46,490   adding 'fluidsim/solvers/sphere/ns2d/test_solver.py'
2024-04-29T00:34:46,491   adding 'fluidsim/solvers/sphere/sw1l/__init__.py'
2024-04-29T00:34:46,493   adding 'fluidsim/solvers/sphere/sw1l/solver.py'
2024-04-29T00:34:46,494   adding 'fluidsim/solvers/sphere/sw1l/state.py'
2024-04-29T00:34:46,496   adding 'fluidsim/solvers/sphere/sw1l/test_solver.py'
2024-04-29T00:34:46,497   adding 'fluidsim/solvers/sw1l/__init__.py'
2024-04-29T00:34:46,499   adding 'fluidsim/solvers/sw1l/forcing.py'
2024-04-29T00:34:46,501   adding 'fluidsim/solvers/sw1l/init_fields.py'
2024-04-29T00:34:46,502   adding 'fluidsim/solvers/sw1l/operators.py'
2024-04-29T00:34:46,504   adding 'fluidsim/solvers/sw1l/solver.py'
2024-04-29T00:34:46,506   adding 'fluidsim/solvers/sw1l/state.py'
2024-04-29T00:34:46,507   adding 'fluidsim/solvers/sw1l/test_operators.py'
2024-04-29T00:34:46,509   adding 'fluidsim/solvers/sw1l/test_solver.py'
2024-04-29T00:34:46,510   adding 'fluidsim/solvers/sw1l/exactlin/__init__.py'
2024-04-29T00:34:46,512   adding 'fluidsim/solvers/sw1l/exactlin/solver.py'
2024-04-29T00:34:46,513   adding 'fluidsim/solvers/sw1l/exactlin/state.py'
2024-04-29T00:34:46,515   adding 'fluidsim/solvers/sw1l/exactlin/test_solver.py'
2024-04-29T00:34:46,516   adding 'fluidsim/solvers/sw1l/exactlin/modified/__init__.py'
2024-04-29T00:34:46,517   adding 'fluidsim/solvers/sw1l/exactlin/modified/output.py'
2024-04-29T00:34:46,519   adding 'fluidsim/solvers/sw1l/exactlin/modified/solver.py'
2024-04-29T00:34:46,520   adding 'fluidsim/solvers/sw1l/exactlin/modified/test_solver.py'
2024-04-29T00:34:46,522   adding 'fluidsim/solvers/sw1l/modified/__init__.py'
2024-04-29T00:34:46,523   adding 'fluidsim/solvers/sw1l/modified/output.py'
2024-04-29T00:34:46,525   adding 'fluidsim/solvers/sw1l/modified/solver.py'
2024-04-29T00:34:46,526   adding 'fluidsim/solvers/sw1l/modified/state.py'
2024-04-29T00:34:46,527   adding 'fluidsim/solvers/sw1l/modified/test_solver.py'
2024-04-29T00:34:46,529   adding 'fluidsim/solvers/sw1l/onlywaves/__init__.py'
2024-04-29T00:34:46,530   adding 'fluidsim/solvers/sw1l/onlywaves/output.py'
2024-04-29T00:34:46,532   adding 'fluidsim/solvers/sw1l/onlywaves/solver.py'
2024-04-29T00:34:46,534   adding 'fluidsim/solvers/sw1l/onlywaves/state.py'
2024-04-29T00:34:46,535   adding 'fluidsim/solvers/sw1l/onlywaves/test_solver.py'
2024-04-29T00:34:46,537   adding 'fluidsim/solvers/sw1l/output/__init__.py'
2024-04-29T00:34:46,539   adding 'fluidsim/solvers/sw1l/output/_old_spatial_means.py'
2024-04-29T00:34:46,541   adding 'fluidsim/solvers/sw1l/output/_old_spect_energy_budg.py'
2024-04-29T00:34:46,543   adding 'fluidsim/solvers/sw1l/output/increments.py'
2024-04-29T00:34:46,545   adding 'fluidsim/solvers/sw1l/output/normal_mode.py'
2024-04-29T00:34:46,546   adding 'fluidsim/solvers/sw1l/output/print_stdout.py'
2024-04-29T00:34:46,548   adding 'fluidsim/solvers/sw1l/output/spatial_means.py'
2024-04-29T00:34:46,551   adding 'fluidsim/solvers/sw1l/output/spect_energy_budget.py'
2024-04-29T00:34:46,554   adding 'fluidsim/solvers/sw1l/output/spectra.py'
2024-04-29T00:34:46,555   adding 'fluidsim/solvers/waves2d/__init__.py'
2024-04-29T00:34:46,557   adding 'fluidsim/solvers/waves2d/solver.py'
2024-04-29T00:34:46,558   adding 'fluidsim/solvers/waves2d/state.py'
2024-04-29T00:34:46,559   adding 'fluidsim/solvers/waves2d/test_solver.py'
2024-04-29T00:34:46,561   adding 'fluidsim/util/__init__.py'
2024-04-29T00:34:46,563   adding 'fluidsim/util/frequency_modulation.py'
2024-04-29T00:34:46,564   adding 'fluidsim/util/mini_oper_modif_resol.py'
2024-04-29T00:34:46,565   adding 'fluidsim/util/output.py'
2024-04-29T00:34:46,567   adding 'fluidsim/util/test_util.py'
2024-04-29T00:34:46,568   adding 'fluidsim/util/testing.py'
2024-04-29T00:34:46,571   adding 'fluidsim/util/util.py'
2024-04-29T00:34:46,575   adding 'fluidsim/util/__pythran__/mini_oper_modif_resol.cpython-311-arm-linux-gnueabihf.so'
2024-04-29T00:34:46,577   adding 'fluidsim/util/console/__init__.py'
2024-04-29T00:34:46,578   adding 'fluidsim/util/console/__main__.py'
2024-04-29T00:34:46,580   adding 'fluidsim/util/console/bench.py'
2024-04-29T00:34:46,582   adding 'fluidsim/util/console/bench_analysis.py'
2024-04-29T00:34:46,584   adding 'fluidsim/util/console/profile.py'
2024-04-29T00:34:46,586   adding 'fluidsim/util/console/test_bench.py'
2024-04-29T00:34:46,587   adding 'fluidsim/util/console/test_profile.py'
2024-04-29T00:34:46,589   adding 'fluidsim/util/console/util.py'
2024-04-29T00:34:46,591   adding 'fluidsim/util/scripts/__init__.py'
2024-04-29T00:34:46,592   adding 'fluidsim/util/scripts/ipy_load.py'
2024-04-29T00:34:46,593   adding 'fluidsim/util/scripts/modif_resolution.py'
2024-04-29T00:34:46,594   adding 'fluidsim/util/scripts/restart.py'
2024-04-29T00:34:46,595   adding 'fluidsim/util/scripts/test_ipy_load.py'
2024-04-29T00:34:46,596   adding 'fluidsim/util/scripts/test_modif_resolution.py'
2024-04-29T00:34:46,597   adding 'fluidsim/util/scripts/test_restart.py'
2024-04-29T00:34:46,598   adding 'fluidsim/util/scripts/test_turb_trandom_anisotropic.py'
2024-04-29T00:34:46,600   adding 'fluidsim/util/scripts/turb_trandom_anisotropic.py'
2024-04-29T00:34:46,603   adding 'fluidsim-0.7.3.dist-info/AUTHORS.rst'
2024-04-29T00:34:46,606   adding 'fluidsim-0.7.3.dist-info/LICENSE.txt'
2024-04-29T00:34:46,607   adding 'fluidsim-0.7.3.dist-info/METADATA'
2024-04-29T00:34:46,608   adding 'fluidsim-0.7.3.dist-info/WHEEL'
2024-04-29T00:34:46,609   adding 'fluidsim-0.7.3.dist-info/entry_points.txt'
2024-04-29T00:34:46,610   adding 'fluidsim-0.7.3.dist-info/top_level.txt'
2024-04-29T00:34:46,614   adding 'fluidsim-0.7.3.dist-info/RECORD'
2024-04-29T00:34:46,623   removing build/bdist.linux-armv7l/wheel
2024-04-29T00:34:46,691   Setup completed in 28644.155 seconds.
2024-04-29T00:34:46,692   Setup completed in 28644.155 seconds.
2024-04-29T00:34:47,160   Building wheel for fluidsim (pyproject.toml): finished with status 'done'
2024-04-29T00:34:47,179   Created wheel for fluidsim: filename=fluidsim-0.7.3-cp311-cp311-linux_armv7l.whl size=507030 sha256=596912d00dbab5a4f3ed08a539d2fd97294a7cd6ae902899dceedd436d1e70c6
2024-04-29T00:34:47,180   Stored in directory: /tmp/pip-ephem-wheel-cache-h1c3qro_/wheels/8c/9d/35/4b7d26d4e438e01c46f87c1f30a41fce25b63781c88cd16173
2024-04-29T00:34:47,202 Successfully built fluidsim
2024-04-29T00:34:47,219 Removed build tracker: '/tmp/pip-build-tracker-mufobkrt'