presamples

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0.2.7 presamples-0.2.7-py3-none-any.whl

Wheel Details

Project: presamples
Version: 0.2.7
Filename: presamples-0.2.7-py3-none-any.whl
Download: [link]
Size: 31824
MD5: af54ba44386062ccf1cb3bb62d05083f
SHA256: 366d34afd4c2f693fe4403ff78deb80d4436d6bdac9a680ec127d54efc20ec39
Uploaded: 2020-02-11 20:46:36 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: presamples
Version: 0.2.7
Summary: Package to write, load, manage and verify numerical arrays, called presamples.
Author: Pascal Lesage
Author-Email: pascal.lesage[at]polymtl.ca
Home-Page: https://github.com/PascalLesage/presamples
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Dist: bw2calc
Requires-Dist: bw2data
Requires-Dist: numpy
Requires-Dist: peewee
Requires-Dist: scipy
Requires-Dist: stats-arrays
Requires-Dist: wrapt
Description-Content-Type: text/markdown
[Description omitted; length: 1688 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
presamples/__init__.py sha256=Q4xY8zEsuwRl2LXR54cLBRH4JwpDydm11QilEds7Umg 785
presamples/array.py sha256=I3U-B4YGA21d5xgI_U5HrSXqT4Yo1zSW22HlqvypH8w 1286
presamples/campaigns.py sha256=nQN0dNDlUTIg-7vM-NlPsl0u42gx7Z2SrHDcjzWZ2bo 11062
presamples/errors.py sha256=xbcO6q9Ob0hw3yXrrkP8739hYKEKD8Io5GlqVbeJbLk 721
presamples/fallbacks.py sha256=ij27A_ejGUbdpfOThal5X5qnRgk1RR5ULH4jTQYOlgw 491
presamples/indexer.py sha256=7tbegY9paBWgM6D3xgh1K60DgkMcud9xYjLYLjJmWV0 1280
presamples/loader.py sha256=LpxMDnafl0VMVHUYpn7MIhNPNyjk2CV9GnaBtI0Gxv0 16608
presamples/package_interface.py sha256=OLPpf_JbJ6V_Hoy27I3QmCy6ciF19p5gzXm9IytHRKs 5876
presamples/packaging.py sha256=KYEYQAhHvaNrazHqPo4RjZxi1VzSryrZquiZi3cgEgE 26882
presamples/utils.py sha256=KXOZYukNZ1k3_KFyGTuXEgib9qRxUcjhr9ZKxq1oGF0 2840
presamples/models/__init__.py sha256=oi8irCdz5FjNZZqD2MhmQVgJnU2dshcwQZoksxGWiCw 214
presamples/models/fixed_sum.py sha256=Tifjp5WZrQeckF6idG1KVBsLFVb2lE36FU2vFu3QSAU 2441
presamples/models/inventory_base.py sha256=r3toXF4XfBmwfov8G22cL06iKsQmLCMhmyskT_4veHI 3459
presamples/models/kronecker_delta.py sha256=5km1NIs3oMmO01ppX2F5zyFZOXherXQeUoU-leyZxXw 2156
presamples/models/model_base.py sha256=_yT-3XIwcOpUMNu2MWZjrQlyY4tGd15wiYrlmwTUyf8 1760
presamples/models/parameterized.py sha256=eeofsc1gW_LYOSkBTb1AJqZTxqd7J92oScrrk_HkYTM 12092
presamples-0.2.7.dist-info/LICENSE sha256=K5iI0Qvi8cESu9STOhLhIyIAbp9k45vENFiUCFM1rlc 1109
presamples-0.2.7.dist-info/METADATA sha256=JxSzUSzhEWPVD9f7sWZf5UAwsUXuQPwLVMVVHsKY-2A 2984
presamples-0.2.7.dist-info/WHEEL sha256=YUYzQ6UQdoqxXjimOitTqynltBCkwY6qlTfTh2IzqQU 97
presamples-0.2.7.dist-info/top_level.txt sha256=-B1pdiIBim9yoAjaHlhDFL-aACctFMNsn5EHG8Vhu9A 11
presamples-0.2.7.dist-info/RECORD

top_level.txt

presamples