Collecting asammdf==2.1.1 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 2.1.1 (newest of versions: 2.1.1) Downloading asammdf-2.1.1.tar.gz (48kB) Downloading from URL https://pypi.python.org/packages/c0/07/8451135508f644e9e4b718ce284f47d2077647d7d1f2da0c25c61638aa62/asammdf-2.1.1.tar.gz#md5=08a29a648cd48d06e364f8e7dea4d883 (from https://pypi.python.org/simple/asammdf/) Running setup.py (path:/tmp/pip-build-mjozqeg3/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* 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 functionality\n* functionality related to trigger blocks (but the class is defined)\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/2.1.1/\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 no loaded into RAM)\n* compression = MDF object created with compression=True (raw channel data loaded into RAM and compressed)\n* noconvert = MDF object created with convertAfterRead=False\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 1031 284\nasammdf 2.1.0 compression mdfv3 1259 192\nasammdf 2.1.0 nodata mdfv3 584 114\nmdfreader 0.2.5 mdfv3 3809 455\nmdfreader 0.2.5 no convert mdfv3 3498 321\nasammdf 2.1.0 mdfv4 2109 341\nasammdf 2.1.0 compression mdfv4 2405 239\nasammdf 2.1.0 nodata mdfv4 1686 159\nmdfreader 0.2.5 mdfv4 44400 578\nmdfreader 0.2.5 noconvert mdfv4 43867 449\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 713 286\nasammdf 2.1.0 compression mdfv3 926 194\nmdfreader 0.2.5 mdfv3 19862 1226\nasammdf 2.1.0 mdfv4 1109 347\nasammdf 2.1.0 compression mdfv4 1267 246\nmdfreader 0.2.5 mdfv4 17518 1656\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 3943 295\nasammdf 2.1.0 compression mdfv3 29682 203\nasammdf 2.1.0 nodata mdfv3 23215 129\nmdfreader 0.2.5 mdfv3 38 455\nasammdf 2.1.0 mdfv4 3227 351\nasammdf 2.1.0 compression mdfv4 26070 250\nasammdf 2.1.0 nodata mdfv4 21619 171\nmdfreader 0.2.5 mdfv4 51 578\n================================================== ========= ========\n\n\nPython 3 x64\n------------\n\nBenchmark environment\n\n* 3.6.1 (v3.6.1:69c0db5, Mar 21 2017, 18:41:36) [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 no loaded into RAM)\n* compression = MDF object created with compression=True (raw channel data loaded into RAM and compressed)\n* noconvert = MDF object created with convertAfterRead=False\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 801 352\nasammdf 2.1.0 compression mdfv3 946 278\nasammdf 2.1.0 nodata mdfv3 490 172\nmdfreader 0.2.5 mdfv3 2962 525\nmdfreader 0.2.5 no convert mdfv3 2740 392\nasammdf 2.1.0 mdfv4 1674 440\nasammdf 2.1.0 compression mdfv4 1916 343\nasammdf 2.1.0 nodata mdfv4 1360 245\nmdfreader 0.2.5 mdfv4 31915 737\nmdfreader 0.2.5 noconvert mdfv4 31425 607\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 575 353\nasammdf 2.1.0 compression mdfv3 705 276\nmdfreader 0.2.5 mdfv3 21591 1985\nasammdf 2.1.0 mdfv4 913 447\nasammdf 2.1.0 compression mdfv4 1160 352\nmdfreader 0.2.5 mdfv4 18666 2782\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 2835 363\nasammdf 2.1.0 compression mdfv3 18188 287\nasammdf 2.1.0 nodata mdfv3 11926 188\nmdfreader 0.2.5 mdfv3 29 525\nasammdf 2.1.0 mdfv4 2338 450\nasammdf 2.1.0 compression mdfv4 15566 355\nasammdf 2.1.0 nodata mdfv4 12598 260\nmdfreader 0.2.5 mdfv4 39 737\n================================================== ========= ========\n" running egg_info creating pip-egg-info/asammdf.egg-info writing requirements to pip-egg-info/asammdf.egg-info/requires.txt writing top-level names to pip-egg-info/asammdf.egg-info/top_level.txt writing pip-egg-info/asammdf.egg-info/PKG-INFO 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-mjozqeg3/asammdf has version 2.1.1, which satisfies requirement asammdf==2.1.1 from https://pypi.python.org/packages/c0/07/8451135508f644e9e4b718ce284f47d2077647d7d1f2da0c25c61638aa62/asammdf-2.1.1.tar.gz#md5=08a29a648cd48d06e364f8e7dea4d883 Building wheels for collected packages: asammdf Running setup.py bdist_wheel for asammdf: started Destination directory: /tmp/tmpen1rrs0cpip-wheel- Running command /usr/bin/python3 -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-mjozqeg3/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/tmpen1rrs0cpip-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* 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 functionality\n* functionality related to trigger blocks (but the class is defined)\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/2.1.1/\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 no loaded into RAM)\n* compression = MDF object created with compression=True (raw channel data loaded into RAM and compressed)\n* noconvert = MDF object created with convertAfterRead=False\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 1031 284\nasammdf 2.1.0 compression mdfv3 1259 192\nasammdf 2.1.0 nodata mdfv3 584 114\nmdfreader 0.2.5 mdfv3 3809 455\nmdfreader 0.2.5 no convert mdfv3 3498 321\nasammdf 2.1.0 mdfv4 2109 341\nasammdf 2.1.0 compression mdfv4 2405 239\nasammdf 2.1.0 nodata mdfv4 1686 159\nmdfreader 0.2.5 mdfv4 44400 578\nmdfreader 0.2.5 noconvert mdfv4 43867 449\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 713 286\nasammdf 2.1.0 compression mdfv3 926 194\nmdfreader 0.2.5 mdfv3 19862 1226\nasammdf 2.1.0 mdfv4 1109 347\nasammdf 2.1.0 compression mdfv4 1267 246\nmdfreader 0.2.5 mdfv4 17518 1656\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 3943 295\nasammdf 2.1.0 compression mdfv3 29682 203\nasammdf 2.1.0 nodata mdfv3 23215 129\nmdfreader 0.2.5 mdfv3 38 455\nasammdf 2.1.0 mdfv4 3227 351\nasammdf 2.1.0 compression mdfv4 26070 250\nasammdf 2.1.0 nodata mdfv4 21619 171\nmdfreader 0.2.5 mdfv4 51 578\n================================================== ========= ========\n\n\nPython 3 x64\n------------\n\nBenchmark environment\n\n* 3.6.1 (v3.6.1:69c0db5, Mar 21 2017, 18:41:36) [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 no loaded into RAM)\n* compression = MDF object created with compression=True (raw channel data loaded into RAM and compressed)\n* noconvert = MDF object created with convertAfterRead=False\n\nFiles used for benchmark:\n* 183 groups\n* 36424 channels\n\n\n================================================== ========= ========\nOpen file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 801 352\nasammdf 2.1.0 compression mdfv3 946 278\nasammdf 2.1.0 nodata mdfv3 490 172\nmdfreader 0.2.5 mdfv3 2962 525\nmdfreader 0.2.5 no convert mdfv3 2740 392\nasammdf 2.1.0 mdfv4 1674 440\nasammdf 2.1.0 compression mdfv4 1916 343\nasammdf 2.1.0 nodata mdfv4 1360 245\nmdfreader 0.2.5 mdfv4 31915 737\nmdfreader 0.2.5 noconvert mdfv4 31425 607\n================================================== ========= ========\n\n\n================================================== ========= ========\nSave file Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 575 353\nasammdf 2.1.0 compression mdfv3 705 276\nmdfreader 0.2.5 mdfv3 21591 1985\nasammdf 2.1.0 mdfv4 913 447\nasammdf 2.1.0 compression mdfv4 1160 352\nmdfreader 0.2.5 mdfv4 18666 2782\n================================================== ========= ========\n\n\n================================================== ========= ========\nGet all channels (36424 calls) Time [ms] RAM [MB]\n================================================== ========= ========\nasammdf 2.1.0 mdfv3 2835 363\nasammdf 2.1.0 compression mdfv3 18188 287\nasammdf 2.1.0 nodata mdfv3 11926 188\nmdfreader 0.2.5 mdfv3 29 525\nasammdf 2.1.0 mdfv4 2338 450\nasammdf 2.1.0 compression mdfv4 15566 355\nasammdf 2.1.0 nodata mdfv4 12598 260\nmdfreader 0.2.5 mdfv4 39 737\n================================================== ========= ========\n" running bdist_wheel running build running build_py creating build creating build/lib creating build/lib/asammdf copying asammdf/__init__.py -> build/lib/asammdf copying asammdf/signal.py -> build/lib/asammdf copying asammdf/utils.py -> build/lib/asammdf copying asammdf/v3blocks.py -> build/lib/asammdf copying asammdf/mdf4.py -> build/lib/asammdf copying asammdf/v3constants.py -> build/lib/asammdf copying asammdf/mdf3.py -> build/lib/asammdf copying asammdf/v4constants.py -> build/lib/asammdf copying asammdf/mdf.py -> build/lib/asammdf copying asammdf/v4blocks.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/__init__.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/signal.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/utils.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v3blocks.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/mdf4.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v3constants.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/mdf3.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v4constants.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/mdf.py -> build/bdist.linux-armv7l/wheel/asammdf copying build/lib/asammdf/v4blocks.py -> build/bdist.linux-armv7l/wheel/asammdf running install_egg_info running egg_info writing dependency_links to asammdf.egg-info/dependency_links.txt writing top-level names to asammdf.egg-info/top_level.txt writing requirements to asammdf.egg-info/requires.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-2.1.1-py3.5.egg-info running install_scripts creating build/bdist.linux-armv7l/wheel/asammdf-2.1.1.dist-info/WHEEL creating '/tmp/tmpen1rrs0cpip-wheel-/asammdf-2.1.1-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-2.1.1.dist-info/DESCRIPTION.rst' adding 'asammdf-2.1.1.dist-info/metadata.json' adding 'asammdf-2.1.1.dist-info/top_level.txt' adding 'asammdf-2.1.1.dist-info/WHEEL' adding 'asammdf-2.1.1.dist-info/METADATA' adding 'asammdf-2.1.1.dist-info/RECORD' Running setup.py bdist_wheel for asammdf: finished with status 'done' Stored in directory: /tmp/tmpwtn94d32 Successfully built asammdf Cleaning up... Removing source in /tmp/pip-build-mjozqeg3/asammdf