Collecting asammdf==2.4.1 1 location(s) to search for versions of asammdf: * https://pypi.python.org/simple/asammdf/ Getting page https://pypi.python.org/simple/asammdf/ Analyzing links from page https://pypi.python.org/simple/asammdf/ Found link https://pypi.python.org/packages/00/d2/99c6e8cace7498af5659270afe15affe24bdbc8cb1053254dbdb9461bc11/asammdf-2.6.4.tar.gz#md5=ac28ddeb62fac676145e7e8cfb5f3452 (from https://pypi.python.org/simple/asammdf/), version: 2.6.4 Found link https://pypi.python.org/packages/13/c2/988986ed1ea61c7c47c13f1fc549c15d3ba1474d51e00b23cfb71e6bac72/asammdf-1.1.0.tar.gz#md5=7fedc18ab92db7ecddccaade486d9d79 (from https://pypi.python.org/simple/asammdf/), version: 1.1.0 Found link https://pypi.python.org/packages/18/83/3df0639085df1e1df315bf916591cce51a4747096ba0d9cfbf81b3b75cc2/asammdf-2.4.2.tar.gz#md5=b8633800718c8967bde0dcfed968da19 (from https://pypi.python.org/simple/asammdf/), version: 2.4.2 Found link https://pypi.python.org/packages/1b/67/fdf1c4ac6df0d4d744ed7cde010a7fee19f4f4f33c8f7cd0d62bb14c200f/asammdf-2.2.0.tar.gz#md5=49a2f4cb4cb84e29e88c2c8a4a8f8a60 (from https://pypi.python.org/simple/asammdf/), version: 2.2.0 Found link https://pypi.python.org/packages/2b/7a/451d1ff6bf8d8419aafa41bfefc61bfe35373618f2598b95b68391f64c3c/asammdf-2.4.3.tar.gz#md5=4614f0701f578bec49f8f1d0b5030bb2 (from https://pypi.python.org/simple/asammdf/), version: 2.4.3 Found link https://pypi.python.org/packages/2d/02/7406a73e122d236c2e6d940f49832654a1eddd7072ac41bbabd9d89cd906/asammdf-2.5.2.tar.gz#md5=68fe9bec06f078935642f05d2e890f7e (from https://pypi.python.org/simple/asammdf/), version: 2.5.2 Found link https://pypi.python.org/packages/37/7f/64674c1e911b49d5a51a16fa228a4611235e697b166de4a1ea6cddc96473/asammdf-2.6.5.tar.gz#md5=a7c817519c16c1fdcfb046efd41aecfe (from https://pypi.python.org/simple/asammdf/), version: 2.6.5 Found link https://pypi.python.org/packages/39/c9/d8ef446eefe8b1f31f118f81aa9da878cbfffba851d2f769d623858a16ca/asammdf-1.0.1.tar.gz#md5=dabe3b1181696825968ca3948753f690 (from https://pypi.python.org/simple/asammdf/), version: 1.0.1 Found link https://pypi.python.org/packages/3f/58/f65c6675539a288921736b88855abf6e00ca02686ff60e8e29e42aaf3b9a/asammdf-2.3.0.tar.gz#md5=fe1cffffb7924b4a2544a135cb3d65f8 (from https://pypi.python.org/simple/asammdf/), version: 2.3.0 Found link https://pypi.python.org/packages/4c/a8/ea7b2a26dcaaae5c3dbd520fa5d90243cbe61ff3489ea6131d7542004d77/asammdf-2.3.2.tar.gz#md5=f1292aae476dc41efd74d47cfe6456b3 (from https://pypi.python.org/simple/asammdf/), version: 2.3.2 Found link https://pypi.python.org/packages/50/7c/36c5ae8ab2995d6e05fda60db0cbba9ee0f21d110496bd000a098550616b/asammdf-2.0.0.post1.tar.gz#md5=e1a89040280234b1994e2574c8cc3ed7 (from https://pypi.python.org/simple/asammdf/), version: 2.0.0.post1 Found link https://pypi.python.org/packages/55/e6/35a3e6ce821cafb0e973df4d9d554c2212578b5fd9bc17255af91290155a/asammdf-2.4.1.tar.gz#md5=04b7f77bcbf0d6c13d77dc642a8926a8 (from https://pypi.python.org/simple/asammdf/), version: 2.4.1 Found link https://pypi.python.org/packages/5e/c0/d295d9f65cefdd701d557cc3a998fc6e4dd1a4c524029ff6386123a2ffd7/asammdf-2.3.1.tar.gz#md5=f4a98143ecf546b2280640a93f0b3af4 (from https://pypi.python.org/simple/asammdf/), version: 2.3.1 Found link https://pypi.python.org/packages/7b/05/0d758814bc5617902e66ce049e8255dc88ced4470da96ff3a6b7bdd47c4f/asammdf-2.1.0.tar.gz#md5=6896985d4b7431bda0daa064a922771a (from https://pypi.python.org/simple/asammdf/), version: 2.1.0 Found link https://pypi.python.org/packages/97/a1/e10f2f5d4cdeeecc2adc2eafc74817043ae5a7d75834ba3f01cae5a88455/asammdf-2.6.1.tar.gz#md5=0646cd843b224104af53bc2c1d72fecb (from https://pypi.python.org/simple/asammdf/), version: 2.6.1 Found link https://pypi.python.org/packages/ac/a0/9386f2c9b086abf1ecc320ac55d486ffd70076a319e2957632714757f1a7/asammdf-2.1.2.tar.gz#md5=0d7c7e2d8cb3bc8d8d4c2bb059759b23 (from https://pypi.python.org/simple/asammdf/), version: 2.1.2 Found link https://pypi.python.org/packages/b0/fb/420a071e3718beff5ee4e14dba0520c8cdf07960c9bee684a5f3bf906d79/asammdf-2.7.0.tar.gz#md5=e2ae42003e18a5bb4e23c40a0b538712 (from https://pypi.python.org/simple/asammdf/), version: 2.7.0 Found link https://pypi.python.org/packages/b1/b9/67f7e2c9cb1e468217fd810e2e70ee80607696e39eaf9a14a73b44d98cfb/asammdf-2.6.3.tar.gz#md5=ff38bd6119c304e3098c09027027f414 (from https://pypi.python.org/simple/asammdf/), version: 2.6.3 Found link https://pypi.python.org/packages/bf/85/8249db8a05225e1b36ca8118327b17008ebe1c752b001405adb2ac4bc6bf/asammdf-2.6.2.tar.gz#md5=8718e40d628085dcb0756be37d30c6b6 (from https://pypi.python.org/simple/asammdf/), version: 2.6.2 Found link https://pypi.python.org/packages/c0/07/8451135508f644e9e4b718ce284f47d2077647d7d1f2da0c25c61638aa62/asammdf-2.1.1.tar.gz#md5=08a29a648cd48d06e364f8e7dea4d883 (from https://pypi.python.org/simple/asammdf/), version: 2.1.1 Found link https://pypi.python.org/packages/c0/5e/3c04f6a0117605e796bc603c496b00334ecf63b3f1d83ecf321c6e2e4ac6/asammdf-2.5.0.tar.gz#md5=1643efcf096a826a9fc8c0788ef862ef (from https://pypi.python.org/simple/asammdf/), version: 2.5.0 Found link https://pypi.python.org/packages/c7/e0/f749de755af524e81fbc3211f47b5ca52140f2969c291b5e53521a8195fb/asammdf-2.6.6.tar.gz#md5=e78a3bcc9d3032fa7f57e7e29343731d (from https://pypi.python.org/simple/asammdf/), version: 2.6.6 Found link https://pypi.python.org/packages/c9/15/74cff69382d395580cf7b27f31bb3946900a21f7b205b10eb2c1383804eb/asammdf-2.6.0.tar.gz#md5=ac2f6934f4218a80495bc271f28b22ba (from https://pypi.python.org/simple/asammdf/), version: 2.6.0 Found link https://pypi.python.org/packages/cf/90/9a676ca38e7403202cf54aac1904fe031f45b83cf9a0d5a276b64aeb575a/asammdf-2.5.3.tar.gz#md5=d5a305892dd9a12b845c22fe2087c088 (from https://pypi.python.org/simple/asammdf/), version: 2.5.3 Found link https://pypi.python.org/packages/d9/c8/3a971b2c1bfc2fe5c84a8cebe540de5c19a7520537cd47cd7effeac4dc19/asammdf-2.4.0.tar.gz#md5=423dff3e1f2fc84f2faffa5a9cac8e8e (from https://pypi.python.org/simple/asammdf/), version: 2.4.0 Found link https://pypi.python.org/packages/da/24/ef68717b233305dcc76fd7f1a4b1d1cd3541b751e0de511b8ee68e2a4fb2/asammdf-2.6.7.tar.gz#md5=22753460d89aa46545edd5eda04eb3be (from https://pypi.python.org/simple/asammdf/), version: 2.6.7 Found link https://pypi.python.org/packages/da/b5/ee5f2af7200b7218f301421d37137ec4c8365dcab07809db3c15261ad2eb/asammdf-2.5.1.tar.gz#md5=d84d634c5215b6841a7b75e06ad89048 (from https://pypi.python.org/simple/asammdf/), version: 2.5.1 Found link https://pypi.python.org/packages/dd/e4/753e6586b338f81416f0292a4a1baf8d16dde55ff0a24f112713e45c43a0/asammdf-1.0.0.tar.gz#md5=04450785a7b32dc7070c6f6ac280a6c6 (from https://pypi.python.org/simple/asammdf/), version: 1.0.0 Found link https://pypi.python.org/packages/e0/24/abb8e0811fdc095f31662f0d2314df1836c77b47332c5c2ec6510f2dd301/asammdf-2.7.1.tar.gz#md5=dc8e7e099100b0019415e63d23ae00a6 (from https://pypi.python.org/simple/asammdf/), version: 2.7.1 Found link https://pypi.python.org/packages/ed/46/80a02206a9507a23beaff66afbd0c6ceacf5d41f8294e9f48915643c6c41/asammdf-2.5.4.tar.gz#md5=73e4196f0bb6759e7dfa058edad27569 (from https://pypi.python.org/simple/asammdf/), version: 2.5.4 Using version 2.4.1 (newest of versions: 2.4.1) Downloading asammdf-2.4.1.tar.gz (51kB) Downloading from URL https://pypi.python.org/packages/55/e6/35a3e6ce821cafb0e973df4d9d554c2212578b5fd9bc17255af91290155a/asammdf-2.4.1.tar.gz#md5=04b7f77bcbf0d6c13d77dc642a8926a8 (from https://pypi.python.org/simple/asammdf/) Running setup.py (path:/tmp/pip-build-5wmzfpz0/asammdf/setup.py) egg_info for package asammdf Running command python setup.py egg_info "*asammdf* is a fast parser/editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF (Measurement Data Format) files. \n\n*asammdf* supports both MDF version 3 and 4 formats. \n\n*asammdf* works on Python 2.7, and Python >= 3.4\n\nProject goals\n=============\nThe main goals for this library are:\n\n* to be faster than the other Python based mdf libraries\n* to have clean and easy to understand code base\n\nFeatures\n========\n\n* read sorted and unsorted MDF v3 and v4 files\n* files are loaded in RAM for fast operations\n\n * for low memory computers or for large data files there is the option to load only the metadata and leave the raw channel data (the samples) unread; this of course will mean slower channel data access speed\n\n* extract channel data, master channel and extra channel information as *Signal* objects for unified operations with v3 and v4 files\n* time domain operation using the *Signal* class\n\n * Pandas data frames are good if all the channels have the same time based\n * usually a measuremetn will have channels from different sources at different rates\n * the *Signal* class facilitates operations with such channels\n \n* remove data group by index or by specifing a channel name inside the target data group\n* create new mdf files from scratch\n* append new channels\n* filter a subset of channels from original mdf file\n* convert to different mdf version\n* export to Excel, HDF5 and CSV\n* add and extract attachments\n* mdf 4.10 zipped blocks\n* mdf 4 structure channels\n\nMajor features still not implemented\n====================================\n\n* functionality related to sample reduction block (but the class is defined)\n* mdf 3 channel dependency append (reading and saving file with CDBLOCKs is implemented)\n* handling of unfinnished measurements (mdf 4)\n* mdf 4 channel arrays\n* xml schema for TXBLOCK and MDBLOCK\n\nUsage\n=====\n\n.. code-block: python\n\n from asammdf import MDF\n mdf = MDF('sample.mdf')\n speed = mdf.get('WheelSpeed')\n\n \nCheck the *examples* folder for extended usage demo.\n\nDocumentation\n=============\nhttp://asammdf.readthedocs.io/en/stable\n\nInstallation\n============\n*asammdf* is available on \n\n* github: https://github.com/danielhrisca/asammdf/\n* PyPI: https://pypi.org/project/asammdf/\n \n.. code-block: python\n\n pip install asammdf\n\n \nDependencies\n============\nasammdf uses the following libraries\n\n* numpy : the heart that makes all tick\n* numexpr : for algebraic and rational channel conversions\n* matplotlib : for Signal plotting\n\noptional dependencies needed for exports\n\n* pandas : for DataFrame export\n* h5py : for HDF5 export\n* xlsxwriter : for Excel export\n\n\nBenchmarks\n==========\n\nPython 3 x86\n------------\n\nBenchmark environment\n\n* 3.6.1 (v3.6.1:69c0db5, Mar 21 2017, 17:54:52) [MSC v.1900 32 bit (Intel)]\n* Windows-10-10.0.14393-SP0\n* Intel64 Family 6 Model 94 Stepping 3, GenuineIntel\n* 16GB installed RAM\n\nNotations used in the results\n\n* nodata = MDF object created with load_measured_data=False (raw channel data not loaded into RAM)\n* compression = MDF object created with compression=True/blosc\n* compression bcolz 6 = MDF object created with compression=6\n* noDataLoading = MDF object read with noDataLoading=True\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 980 288\nasammdf 2.3.2 nodata mdfv3 670 118\nmdfreader 0.2.5 mdfv3 3776 455\nasammdf 2.3.2 mdfv4 2071 342\nasammdf 2.3.2 nodata mdfv4 1610 160\nmdfreader 0.2.5 mdfv4 43559 578\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 406 291\nasammdf 2.3.2 nodata mdfv3 432 125\nmdfreader 0.2.5 mdfv3 19623 1224\nasammdf 2.3.2 mdfv4 691 351\nasammdf 2.3.2 nodata mdfv4 734 169\nmdfreader 0.2.5 mdfv4 17657 1687\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 963 298\nasammdf 2.3.2 nodata mdfv3 19059 132\nmdfreader 0.2.5 mdfv3 34 455\nasammdf 2.3.2 mdfv4 868 349\nasammdf 2.3.2 nodata mdfv4 20434 171\nmdfreader 0.2.5 mdfv4 54 578\n================================================== ========= ========\n\n\nPython 3 x64\n------------\n\nBenchmark environment\n\n* 3.6.2 (v3.6.2:5fd33b5, Jul 8 2017, 04:57:36) [MSC v.1900 64 bit (AMD64)]\n* Windows-10-10.0.14393-SP0\n* Intel64 Family 6 Model 94 Stepping 3, GenuineIntel\n* 16GB installed RAM\n\nNotations used in the results\n\n* nodata = MDF object created with load_measured_data=False (raw channel data not loaded into RAM)\n* compression = MDF object created with compression=blosc\n* compression bcolz 6 = MDF object created with compression=6\n* noDataLoading = MDF object read with noDataLoading=True\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 831 371\nasammdf 2.3.2 nodata mdfv3 609 190\nmdfreader 0.2.5 mdfv3 3083 536\nasammdf 2.3.2 mdfv4 1710 455\nasammdf 2.3.2 nodata mdfv4 1349 260\nmdfreader 0.2.5 mdfv4 30847 748\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 348 371\nasammdf 2.3.2 nodata mdfv3 343 197\nmdfreader 0.2.5 mdfv3 21244 1997\nasammdf 2.3.2 mdfv4 530 462\nasammdf 2.3.2 nodata mdfv4 522 272\nmdfreader 0.2.5 mdfv4 19594 2795\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 681 383\nasammdf 2.3.2 nodata mdfv3 9175 209\nmdfreader 0.2.5 mdfv3 29 537\nasammdf 2.3.2 mdfv4 599 464\nasammdf 2.3.2 nodata mdfv4 12191 273\nmdfreader 0.2.5 mdfv4 38 748\n================================================== ========= ========\n" running egg_info creating pip-egg-info/asammdf.egg-info writing top-level names to pip-egg-info/asammdf.egg-info/top_level.txt writing dependency_links to pip-egg-info/asammdf.egg-info/dependency_links.txt writing requirements to pip-egg-info/asammdf.egg-info/requires.txt writing pip-egg-info/asammdf.egg-info/PKG-INFO writing manifest file 'pip-egg-info/asammdf.egg-info/SOURCES.txt' reading manifest file 'pip-egg-info/asammdf.egg-info/SOURCES.txt' writing manifest file 'pip-egg-info/asammdf.egg-info/SOURCES.txt' Source in /tmp/pip-build-5wmzfpz0/asammdf has version 2.4.1, which satisfies requirement asammdf==2.4.1 from https://pypi.python.org/packages/55/e6/35a3e6ce821cafb0e973df4d9d554c2212578b5fd9bc17255af91290155a/asammdf-2.4.1.tar.gz#md5=04b7f77bcbf0d6c13d77dc642a8926a8 Building wheels for collected packages: asammdf Running setup.py bdist_wheel for asammdf: started Destination directory: /tmp/tmpe1y_ppzqpip-wheel- Running command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-5wmzfpz0/asammdf/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmpe1y_ppzqpip-wheel- "*asammdf* is a fast parser/editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF (Measurement Data Format) files. \n\n*asammdf* supports both MDF version 3 and 4 formats. \n\n*asammdf* works on Python 2.7, and Python >= 3.4\n\nProject goals\n=============\nThe main goals for this library are:\n\n* to be faster than the other Python based mdf libraries\n* to have clean and easy to understand code base\n\nFeatures\n========\n\n* read sorted and unsorted MDF v3 and v4 files\n* files are loaded in RAM for fast operations\n\n * for low memory computers or for large data files there is the option to load only the metadata and leave the raw channel data (the samples) unread; this of course will mean slower channel data access speed\n\n* extract channel data, master channel and extra channel information as *Signal* objects for unified operations with v3 and v4 files\n* time domain operation using the *Signal* class\n\n * Pandas data frames are good if all the channels have the same time based\n * usually a measuremetn will have channels from different sources at different rates\n * the *Signal* class facilitates operations with such channels\n \n* remove data group by index or by specifing a channel name inside the target data group\n* create new mdf files from scratch\n* append new channels\n* filter a subset of channels from original mdf file\n* convert to different mdf version\n* export to Excel, HDF5 and CSV\n* add and extract attachments\n* mdf 4.10 zipped blocks\n* mdf 4 structure channels\n\nMajor features still not implemented\n====================================\n\n* functionality related to sample reduction block (but the class is defined)\n* mdf 3 channel dependency append (reading and saving file with CDBLOCKs is implemented)\n* handling of unfinnished measurements (mdf 4)\n* mdf 4 channel arrays\n* xml schema for TXBLOCK and MDBLOCK\n\nUsage\n=====\n\n.. code-block: python\n\n from asammdf import MDF\n mdf = MDF('sample.mdf')\n speed = mdf.get('WheelSpeed')\n\n \nCheck the *examples* folder for extended usage demo.\n\nDocumentation\n=============\nhttp://asammdf.readthedocs.io/en/stable\n\nInstallation\n============\n*asammdf* is available on \n\n* github: https://github.com/danielhrisca/asammdf/\n* PyPI: https://pypi.org/project/asammdf/\n \n.. code-block: python\n\n pip install asammdf\n\n \nDependencies\n============\nasammdf uses the following libraries\n\n* numpy : the heart that makes all tick\n* numexpr : for algebraic and rational channel conversions\n* matplotlib : for Signal plotting\n\noptional dependencies needed for exports\n\n* pandas : for DataFrame export\n* h5py : for HDF5 export\n* xlsxwriter : for Excel export\n\n\nBenchmarks\n==========\n\nPython 3 x86\n------------\n\nBenchmark environment\n\n* 3.6.1 (v3.6.1:69c0db5, Mar 21 2017, 17:54:52) [MSC v.1900 32 bit (Intel)]\n* Windows-10-10.0.14393-SP0\n* Intel64 Family 6 Model 94 Stepping 3, GenuineIntel\n* 16GB installed RAM\n\nNotations used in the results\n\n* nodata = MDF object created with load_measured_data=False (raw channel data not loaded into RAM)\n* compression = MDF object created with compression=True/blosc\n* compression bcolz 6 = MDF object created with compression=6\n* noDataLoading = MDF object read with noDataLoading=True\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 980 288\nasammdf 2.3.2 nodata mdfv3 670 118\nmdfreader 0.2.5 mdfv3 3776 455\nasammdf 2.3.2 mdfv4 2071 342\nasammdf 2.3.2 nodata mdfv4 1610 160\nmdfreader 0.2.5 mdfv4 43559 578\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 406 291\nasammdf 2.3.2 nodata mdfv3 432 125\nmdfreader 0.2.5 mdfv3 19623 1224\nasammdf 2.3.2 mdfv4 691 351\nasammdf 2.3.2 nodata mdfv4 734 169\nmdfreader 0.2.5 mdfv4 17657 1687\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 963 298\nasammdf 2.3.2 nodata mdfv3 19059 132\nmdfreader 0.2.5 mdfv3 34 455\nasammdf 2.3.2 mdfv4 868 349\nasammdf 2.3.2 nodata mdfv4 20434 171\nmdfreader 0.2.5 mdfv4 54 578\n================================================== ========= ========\n\n\nPython 3 x64\n------------\n\nBenchmark environment\n\n* 3.6.2 (v3.6.2:5fd33b5, Jul 8 2017, 04:57:36) [MSC v.1900 64 bit (AMD64)]\n* Windows-10-10.0.14393-SP0\n* Intel64 Family 6 Model 94 Stepping 3, GenuineIntel\n* 16GB installed RAM\n\nNotations used in the results\n\n* nodata = MDF object created with load_measured_data=False (raw channel data not loaded into RAM)\n* compression = MDF object created with compression=blosc\n* compression bcolz 6 = MDF object created with compression=6\n* noDataLoading = MDF object read with noDataLoading=True\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 831 371\nasammdf 2.3.2 nodata mdfv3 609 190\nmdfreader 0.2.5 mdfv3 3083 536\nasammdf 2.3.2 mdfv4 1710 455\nasammdf 2.3.2 nodata mdfv4 1349 260\nmdfreader 0.2.5 mdfv4 30847 748\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 348 371\nasammdf 2.3.2 nodata mdfv3 343 197\nmdfreader 0.2.5 mdfv3 21244 1997\nasammdf 2.3.2 mdfv4 530 462\nasammdf 2.3.2 nodata mdfv4 522 272\nmdfreader 0.2.5 mdfv4 19594 2795\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.3.2 mdfv3 681 383\nasammdf 2.3.2 nodata mdfv3 9175 209\nmdfreader 0.2.5 mdfv3 29 537\nasammdf 2.3.2 mdfv4 599 464\nasammdf 2.3.2 nodata mdfv4 12191 273\nmdfreader 0.2.5 mdfv4 38 748\n================================================== ========= ========\n" running bdist_wheel running build running build_py creating build creating build/lib creating build/lib/asammdf copying asammdf/mdf3.py -> build/lib/asammdf copying asammdf/mdf.py -> build/lib/asammdf copying asammdf/signalconstants.py -> build/lib/asammdf copying asammdf/mdf4.py -> build/lib/asammdf copying asammdf/v4constants.py -> build/lib/asammdf copying asammdf/__init__.py -> build/lib/asammdf copying asammdf/v3constants.py -> build/lib/asammdf copying asammdf/v4blocks.py -> build/lib/asammdf copying asammdf/v3blocks.py -> build/lib/asammdf copying asammdf/utils.py -> build/lib/asammdf copying asammdf/signal.py -> build/lib/asammdf installing to build/bdist.linux-armv7l/wheel running install running install_lib creating build/bdist.linux-armv7l creating build/bdist.linux-armv7l/wheel creating build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/mdf3.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/mdf.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/signalconstants.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/mdf4.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v4constants.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/__init__.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v3constants.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v4blocks.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v3blocks.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/utils.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/signal.py -> build/bdist.linux-armv7l/wheel/asammdf running install_egg_info running egg_info writing requirements to asammdf.egg-info/requires.txt writing top-level names to asammdf.egg-info/top_level.txt writing dependency_links to asammdf.egg-info/dependency_links.txt writing asammdf.egg-info/PKG-INFO reading manifest file 'asammdf.egg-info/SOURCES.txt' writing manifest file 'asammdf.egg-info/SOURCES.txt' Copying asammdf.egg-info to build/bdist.linux-armv7l/wheel/asammdf-2.4.1.egg-info running install_scripts creating build/bdist.linux-armv7l/wheel/asammdf-2.4.1.dist-info/WHEEL Running setup.py bdist_wheel for asammdf: finished with status 'done' Stored in directory: /tmp/tmpnqhave3_ Successfully built asammdf Cleaning up... Removing source in /tmp/pip-build-5wmzfpz0/asammdf