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prv-accountant

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0.2.0 prv_accountant-0.2.0-py3-none-any.whl

Wheel Details

Project: prv-accountant
Version: 0.2.0
Filename: prv_accountant-0.2.0-py3-none-any.whl
Download: [link]
Size: 21792
MD5: bbee11dcfae5e723c38fac6f084aff5a
SHA256: 53564736db91327ac4cc6953c725a8510cfde397e01d99a6092d61f8f1e3c74d
Uploaded: 2022-08-24 14:40:17 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: prv-accountant
Version: 0.2.0
Summary: A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
Author: Microsoft Corporation
Home-Page: https://github.com/microsoft/prv_accountant
Requires-Python: >=3.7.0
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: plotly; extra == "extra"
Requires-Dist: tqdm; extra == "extra"
Requires-Dist: jupyter; extra == "extra"
Requires-Dist: sympy; extra == "extra"
Requires-Dist: tensorflow-privacy; extra == "extra"
Requires-Dist: nbconvert; extra == "extra"
Requires-Dist: pandas; extra == "extra"
Requires-Dist: pytest; extra == "extra"
Requires-Dist: flake8; extra == "extra"
Provides-Extra: extra
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6593 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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prv_accountant/accountant.py sha256=RvBqa2LETjlU8YmZLYus-CqkVDkU4lD2m3Mp9FcBdJU 7615
prv_accountant/composers.py sha256=Z1TB2JCrVocdoHJ5XGY1OOgQlYHNSwwBwdv57T9jP2o 6134
prv_accountant/discrete_privacy_random_variable.py sha256=_LbhEc4fLQC7xK-NeJIgu9g9g06QYXRQzzfFxTDTXhI 2015
prv_accountant/discretisers.py sha256=lJgD4WuGdOrmoWfpg3B9pGKvf3HAJblicdaqy7SFJoU 1664
prv_accountant/domain.py sha256=dLPTz72itlicuwlNBQ0MlfKkQicDepNjFSoBg60pQ8w 3083
prv_accountant/dpsgd.py sha256=TQW_8VfZos9qjUSabgbId-K1ffRnHdmhXNdTFKNS2K4 3885
prv_accountant/other_accountants.py sha256=iP2WuxBjkKLdMadbOn2uRrUpaUjNEj0ONXB3TmTvkaU 1779
prv_accountant/privacy_random_variables/__init__.py sha256=Rx8s9aazgwyk-_MesnQg3btHrlXKGOXtqzOyXhMwMBU 540
prv_accountant/privacy_random_variables/abstract_privacy_random_variable.py sha256=XY6m-ZoLEfrtm6JKbr9yE97JAP4mwfH_wBSk85kmt2U 2568
prv_accountant/privacy_random_variables/approximate_dp.py sha256=QVrZIBCapcaL3sGPnUNbbKUKOdza57_6r12FTQfwlA4 625
prv_accountant/privacy_random_variables/gaussian_mechanism.py sha256=5ujGUj6GnLNe6PZ2W5ERxJEnNViqbjgbbrra-A6kwUw 540
prv_accountant/privacy_random_variables/laplace_mechanism.py sha256=t7RWBxbsEIDo2KgtQWVu_vUYSesRQzXDEnh7hBzYaE8 878
prv_accountant/privacy_random_variables/poisson_subsampled_gaussian_mechanism.py sha256=fNBBLyb2UZoSH28s1_nf4B-tIekDrMf0AxvFUzSyfIc 6329
prv_accountant/privacy_random_variables/pure_dp_mechanism.py sha256=toy7Ux4oFKpzs7mynwEwd5eE56WU0fIJ_x4RMupxDmk 490
prv_accountant-0.2.0.data/scripts/compute-dp-epsilon sha256=qUdr6hV_HTSJ-OCMTWqMgy_tJj6qcA-TLNiBqfjsXRU 3242
prv_accountant-0.2.0.dist-info/LICENSE sha256=ws_MuBL-SCEBqPBFl9_FqZkaaydIJmxHrJG2parhU4M 1141
prv_accountant-0.2.0.dist-info/METADATA sha256=1kNCTerUd2zrqYVK7mLqkv9FEF7EpF2BkioDhat0I7s 7401
prv_accountant-0.2.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
prv_accountant-0.2.0.dist-info/top_level.txt sha256=Hw8AcVOYPmY9uKH1cB6Kkqy-n_eo_1Syr-bTEOjxl1U 15
prv_accountant-0.2.0.dist-info/RECORD — —

top_level.txt

prv_accountant