Collecting asammdf==2.2.0 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 2.2.0 (newest of versions: 2.2.0) Downloading asammdf-2.2.0.tar.gz (49kB) Downloading from URL https://pypi.python.org/packages/1b/67/fdf1c4ac6df0d4d744ed7cde010a7fee19f4f4f33c8f7cd0d62bb14c200f/asammdf-2.2.0.tar.gz#md5=49a2f4cb4cb84e29e88c2c8a4a8f8a60 (from https://pypi.python.org/simple/asammdf/) Running setup.py (path:/tmp/pip-build-8f2i3x_3/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* 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 save and append (only reading 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* blosc : optionally used for in memmory raw channel data compression\n* matplotlib : for Signal plotting\n* pandas : for DataFrame export\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 2.2.0 mdfv3 1149 294\nasammdf 2.2.0 compression mdfv3 1368 202\nasammdf 2.2.0 nodata mdfv3 861 123\nmdfreader 0.2.5 mdfv3 3755 455\nasammdf 2.2.0 mdfv4 2316 348\nasammdf 2.2.0 compression mdfv4 2694 247\nasammdf 2.2.0 nodata mdfv4 1886 166\nmdfreader 0.2.5 mdfv4 43210 578\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 413 297\nasammdf 2.2.0 compression mdfv3 592 204\nmdfreader 0.2.5 mdfv3 20038 1224\nasammdf 2.2.0 mdfv4 720 357\nasammdf 2.2.0 compression mdfv4 674 253\nmdfreader 0.2.5 mdfv4 17553 1687\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 784 299\nasammdf 2.2.0 compression mdfv3 25345 207\nasammdf 2.2.0 nodata mdfv3 18657 133\nmdfreader 0.2.5 mdfv3 35 455\nasammdf 2.2.0 mdfv4 695 354\nasammdf 2.2.0 compression mdfv4 24325 255\nasammdf 2.2.0 nodata mdfv4 20745 176\nmdfreader 0.2.5 mdfv4 50 578\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=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 2.2.0 mdfv3 1088 379\nasammdf 2.2.0 compression mdfv3 1287 298\nasammdf 2.2.0 nodata mdfv3 896 198\nmdfreader 0.2.5 mdfv3 3533 537\nasammdf 2.2.0 mdfv4 2027 464\nasammdf 2.2.0 compression mdfv4 2504 367\nasammdf 2.2.0 nodata mdfv4 1668 268\nmdfreader 0.2.5 mdfv4 34908 748\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 398 379\nasammdf 2.2.0 compression mdfv3 523 302\nmdfreader 0.2.5 mdfv3 23881 1997\nasammdf 2.2.0 mdfv4 554 471\nasammdf 2.2.0 compression mdfv4 615 373\nmdfreader 0.2.5 mdfv4 21288 2795\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 577 383\nasammdf 2.2.0 compression mdfv3 13504 306\nasammdf 2.2.0 nodata mdfv3 9506 210\nmdfreader 0.2.5 mdfv3 30 536\nasammdf 2.2.0 mdfv4 498 469\nasammdf 2.2.0 compression mdfv4 15310 377\nasammdf 2.2.0 nodata mdfv4 12565 280\nmdfreader 0.2.5 mdfv4 40 748\n================================================== ========= ========\n" running egg_info creating pip-egg-info/asammdf.egg-info writing requirements to pip-egg-info/asammdf.egg-info/requires.txt writing pip-egg-info/asammdf.egg-info/PKG-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 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-8f2i3x_3/asammdf has version 2.2.0, which satisfies requirement asammdf==2.2.0 from https://pypi.python.org/packages/1b/67/fdf1c4ac6df0d4d744ed7cde010a7fee19f4f4f33c8f7cd0d62bb14c200f/asammdf-2.2.0.tar.gz#md5=49a2f4cb4cb84e29e88c2c8a4a8f8a60 Building wheels for collected packages: asammdf Running setup.py bdist_wheel for asammdf: started Destination directory: /tmp/tmpg012nhripip-wheel- Running command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-8f2i3x_3/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/tmpg012nhripip-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* 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 save and append (only reading 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* blosc : optionally used for in memmory raw channel data compression\n* matplotlib : for Signal plotting\n* pandas : for DataFrame export\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 2.2.0 mdfv3 1149 294\nasammdf 2.2.0 compression mdfv3 1368 202\nasammdf 2.2.0 nodata mdfv3 861 123\nmdfreader 0.2.5 mdfv3 3755 455\nasammdf 2.2.0 mdfv4 2316 348\nasammdf 2.2.0 compression mdfv4 2694 247\nasammdf 2.2.0 nodata mdfv4 1886 166\nmdfreader 0.2.5 mdfv4 43210 578\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 413 297\nasammdf 2.2.0 compression mdfv3 592 204\nmdfreader 0.2.5 mdfv3 20038 1224\nasammdf 2.2.0 mdfv4 720 357\nasammdf 2.2.0 compression mdfv4 674 253\nmdfreader 0.2.5 mdfv4 17553 1687\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 784 299\nasammdf 2.2.0 compression mdfv3 25345 207\nasammdf 2.2.0 nodata mdfv3 18657 133\nmdfreader 0.2.5 mdfv3 35 455\nasammdf 2.2.0 mdfv4 695 354\nasammdf 2.2.0 compression mdfv4 24325 255\nasammdf 2.2.0 nodata mdfv4 20745 176\nmdfreader 0.2.5 mdfv4 50 578\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=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 2.2.0 mdfv3 1088 379\nasammdf 2.2.0 compression mdfv3 1287 298\nasammdf 2.2.0 nodata mdfv3 896 198\nmdfreader 0.2.5 mdfv3 3533 537\nasammdf 2.2.0 mdfv4 2027 464\nasammdf 2.2.0 compression mdfv4 2504 367\nasammdf 2.2.0 nodata mdfv4 1668 268\nmdfreader 0.2.5 mdfv4 34908 748\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 398 379\nasammdf 2.2.0 compression mdfv3 523 302\nmdfreader 0.2.5 mdfv3 23881 1997\nasammdf 2.2.0 mdfv4 554 471\nasammdf 2.2.0 compression mdfv4 615 373\nmdfreader 0.2.5 mdfv4 21288 2795\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.2.0 mdfv3 577 383\nasammdf 2.2.0 compression mdfv3 13504 306\nasammdf 2.2.0 nodata mdfv3 9506 210\nmdfreader 0.2.5 mdfv3 30 536\nasammdf 2.2.0 mdfv4 498 469\nasammdf 2.2.0 compression mdfv4 15310 377\nasammdf 2.2.0 nodata mdfv4 12565 280\nmdfreader 0.2.5 mdfv4 40 748\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/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/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 dependency_links to asammdf.egg-info/dependency_links.txt writing top-level names to asammdf.egg-info/top_level.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-2.2.0-py3.5.egg-info running install_scripts creating build/bdist.linux-armv7l/wheel/asammdf-2.2.0.dist-info/WHEEL creating '/tmp/tmpg012nhripip-wheel-/asammdf-2.2.0-py3-none-any.whl' and adding '.' to it adding 'asammdf/__init__.py' adding 'asammdf/mdf.py' adding 'asammdf/mdf3.py' adding 'asammdf/mdf4.py' adding 'asammdf/signal.py' adding 'asammdf/utils.py' adding 'asammdf/v3blocks.py' adding 'asammdf/v3constants.py' adding 'asammdf/v4blocks.py' adding 'asammdf/v4constants.py' adding 'asammdf-2.2.0.dist-info/DESCRIPTION.rst' adding 'asammdf-2.2.0.dist-info/metadata.json' adding 'asammdf-2.2.0.dist-info/top_level.txt' adding 'asammdf-2.2.0.dist-info/WHEEL' adding 'asammdf-2.2.0.dist-info/METADATA' adding 'asammdf-2.2.0.dist-info/RECORD' Running setup.py bdist_wheel for asammdf: finished with status 'done' Stored in directory: /tmp/tmpxc2y1u5p Successfully built asammdf Cleaning up... Removing source in /tmp/pip-build-8f2i3x_3/asammdf