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0.1.0a1 aver-0.1.0a1-py3-none-any.whl

Wheel Details

Project: aver
Version: 0.1.0a1
Filename: aver-0.1.0a1-py3-none-any.whl
Download: [link]
Size: 13513
MD5: 85195b79c8f34fb4aa74b853e9d53215
SHA256: 1e44f9a88f2518d2ff3fbf46cbb590c5d9879d097e0afdb7e91b34cf3e082bdd
Uploaded: 2019-03-06 17:29:57 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: aver
Version: 0.1.0a1
Summary: Active Vision models, built with the Nengo neural simulator
Author: David Nicholson
Author-Email: nicholdav[at]gmail.com
Home-Page: https://github.com/NickleDave/active-vision-nengo
License: BSD
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.6.0
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: jupyterlab
Requires-Dist: nengo
Requires-Dist: tqdm
Description-Content-Type: text/markdown
[Description omitted; length: 1559 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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aver/networks/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
aver/networks/abstract.py sha256=kZrAneptgwqF0g9CWt25c_2sKA9zemAky0ajHiL6PgE 2447
aver-0.1.0a1.dist-info/METADATA sha256=k2TtRtpIx4GGbecTrRCSI74MRw87zuhy-dmP3JsnozM 2293
aver-0.1.0a1.dist-info/RECORD — —
aver-0.1.0a1.dist-info/WHEEL sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI 92
aver-0.1.0a1.dist-info/entry_points.txt sha256=ei2160dGibvVLkV8cRh028oPIonDo-Cz9cFMx27zw9s 43
aver-0.1.0a1.dist-info/top_level.txt sha256=QYrvaAxMWzkz5JGa23eWAWG2RmuwS4otupv4WUnfc6g 9
fvf/__init__.py sha256=SRdHDF_9DLAawrzbmEprxQAHv70a2tIoHWHa5BoO6So 417
fvf/__main__.py sha256=FeFD4X2BzHphSPXv4bbimvTOsl_1XEZEMx4QLsTHvmY 2939
fvf/model.py sha256=HJ9UHsD4MuX8p8evroDCYxAF19dxKH87qOpMm-me6eU 8792
fvf/munge.py sha256=rDXSq1Sjpezf1oFFqiOPCIv84laM3eA0epsXb2cH4j4 15518
fvf/plot.py sha256=foDvYJFh8-PGD3dJPBVpAQPUPUZrWQP1qHWaBNVHEMs 8892
fvf/simulator.py sha256=iDpcW0PCEIjVV0q4da4u4S91-vK0Ajp-PdfbL1SyR2U 3780

top_level.txt

aver
fvf

entry_points.txt

[console_scripts]
fvf = fvf.__main__:main