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ancer-python

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1.0.0 ancer_python-1.0.0-py3-none-any.whl

Wheel Details

Project: ancer-python
Version: 1.0.0
Filename: ancer_python-1.0.0-py3-none-any.whl
Download: [link]
Size: 4005
MD5: ab4db428f0c3a03a3341ceeacb0e8638
SHA256: 6a5730fe631dc8ac85679b81caf25c3e4bdc9dd3c13fb23142814f5213ddae43
Uploaded: 2021-06-21 10:08:49 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ancer-python
Version: 1.0.0
Summary: Anisotropic sample-wise randomized smoothing package
Author: Motasem Alfarra
Author-Email: motasem.alfarra[at]kaust.edu.sa
Home-Page: https://github.com/MotasemAlfarra/ANCER
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Requires-Dist: ddsmoothing-python (>=1.0.0)
Requires-Dist: torch (>=1.6.0)
Requires-Dist: torchvision (>=0.7.0)
Requires-Dist: numpy (>=1.17.0)
Requires-Dist: tqdm (>=4.44.0)
Requires-Dist: scipy (>=1.5.0)
Requires-Dist: statsmodels (>=0.11.1)
Description-Content-Type: text/markdown
[Description omitted; length: 94 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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ancer/optimization.py sha256=Mc-rD1wHQGkyeA08s9NhaybNL8g-plgf7zsYnJXUObE 2658
ancer/optimize_dataset.py sha256=P3XZ9_Q6r40uTRb8v_bPF60sFSHhrzBvgWvj7mgOFm0 3302
ancer_python-1.0.0.dist-info/METADATA sha256=99zYlJEW4Qsk-uZK7lctp7flRNwx_1QjI6K3QkHKyhI 767
ancer_python-1.0.0.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
ancer_python-1.0.0.dist-info/top_level.txt sha256=bSsmWxBrVTvDzK3U8CRj2w0_TkQXGSEeP_qIYYl_-E0 6
ancer_python-1.0.0.dist-info/RECORD — —

top_level.txt

ancer