Wheelodex » Projects » pyprob

pyprob

View on PyPI — Reverse Dependencies (0)

1.5.0 pyprob-1.5.0-py3-none-any.whl

Wheel Details

Project: pyprob
Version: 1.5.0
Filename: pyprob-1.5.0-py3-none-any.whl
Download: [link]
Size: 101516
MD5: 2de3bf0f02aa92fb399010f9a0586549
SHA256: 6866b7c6ce8c3c7e49d6de13bba3954a735bea4e02c1fb67c86065e585a23b1c
Uploaded: 2022-03-23 21:48:56 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pyprob
Version: 1.5.0
Summary: A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
Author: PyProb contributors
Author-Email: gunes[at]robots.ox.ac.uk
Home-Page: https://github.com/pyprob/pyprob
License: BSD
Keywords: probabilistic programming simulation deep learning inference compilation markov chain monte carlo
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Requires-Dist: torch (>=1.5.1)
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: termcolor (==1.1.0)
Requires-Dist: pyzmq (>=19.0.0)
Requires-Dist: flatbuffers (==2.0)
Requires-Dist: pydotplus (==2.0.2)
Requires-Dist: pyyaml (>=3.13)
Requires-Dist: sqlitedict (>=2.0.0)
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: pytest-xdist; extra == "dev"
Requires-Dist: docker; extra == "dev"
Requires-Dist: sphinx (==3.2.1); extra == "docs"
Requires-Dist: sphinx-rtd-theme (==0.5.2); extra == "docs"
Requires-Dist: jupyter-sphinx (==0.3.2); extra == "docs"
Requires-Dist: myst-nb (==0.12.3); extra == "docs"
Provides-Extra: dev
Provides-Extra: docs
[No description]

WHEEL

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

RECORD

Path Digest Size
pyprob/__init__.py sha256=qEq-XLxnPVO_UY7lfqwzwU5RkcbkwNgoTsLyFkqK4J4 356
pyprob/address_dictionary.py sha256=7SI-b_zw3RNwG4qwWyr-_NmJ5fRLbBic3VqCGVY1F0s 1116
pyprob/concurrency.py sha256=bfeVv5ZFUNYmqWWt0vqyYmv7I8nwCoSaNGW1C2SqOw0 2863
pyprob/diagnostics.py sha256=3vaEFLyll_5TB-F7e2bliydKSkCTeE043XE4Z7yfb14 60715
pyprob/graph.py sha256=CZHRWf45_M28LnnpkQFqWi1Exc_r3eOyWbxbeym5t_E 11198
pyprob/model.py sha256=lRJtEWpU2wcafjjLupFJlCL3azRSrfu_u7lQZw5sEwY 24553
pyprob/remote.py sha256=_PM4VOEj6RBW9mq0ODoONyyyePo0mISE990SchYXH54 20818
pyprob/state.py sha256=0USnJnwLhsWk8Mvk5MHs2PofBuo3wjp12FNb3wpucJ8 18623
pyprob/trace.py sha256=q0dFVYTNqEwFKxan6XWQZkvjsbr_Y3tcV4Z4yIM2nsU 9256
pyprob/util.py sha256=xawDfBUgKDYr-TJ87ZM-WvM-UrzZnXj9yWKwTs8U37s 12698
pyprob/distributions/__init__.py sha256=iwUPLOqGt7HmAQzAt5-C0LVcrb6GZstjeue44TxSElY 540
pyprob/distributions/bernoulli.py sha256=DX1RsI9yhAxnjQo2D1NxTMNULyrZCXKhFM5SHJOZFWM 712
pyprob/distributions/beta.py sha256=fDcK5qttPKymXOSDpayyWmWb7EjdnH7JgfNq1XZORjE 1778
pyprob/distributions/binomial.py sha256=y3uKItAcRc50Z26UDTevHpcjpCM9FcKe1PmdpU-MUHg 890
pyprob/distributions/categorical.py sha256=83A3wZv5tu9U7sQPM7xht59_OVMw_uoHyTWPqvzRJjs 1245
pyprob/distributions/distribution.py sha256=NsAS8v9pvGi6uqqJAb-vREgesOqfu8iLJRome4t3vws 3331
pyprob/distributions/empirical.py sha256=hcWdQRA71cC2D20zEA8zoa9ClkZBz3zwwBm1B9xifT4 42836
pyprob/distributions/exponential.py sha256=AdZD9baYS7290rDDSubW3oNsGlu91x9QJGD7bAMiZFc 548
pyprob/distributions/factor.py sha256=SV4HuNaDKoyI4Hbp-bU_S17tEitJREgrgCjWv0tXq5w 1373
pyprob/distributions/gamma.py sha256=fUF0VdBclyDXY22UuNgRfqPsqOLgZWkDsZgVHqEbQvw 825
pyprob/distributions/log_normal.py sha256=Gu6POPDoHHqHEJ6I0I2dSfaUwy7dwQfJCl6TS5q5LMA 730
pyprob/distributions/mixture.py sha256=3Y2vvhEabx-oENOs3pXrfnRbGwKfCpGVj31MVGOeFQw 3729
pyprob/distributions/normal.py sha256=y_JlwBPVRJF_mI04BYgUQBqPuCSnlc4xVf9dtH7C0vQ 856
pyprob/distributions/poisson.py sha256=xddWGvpDWYEoYZWe3VfY3RTaWgTJJgLhQfHCaGeZWeA 524
pyprob/distributions/truncated_normal.py sha256=DsF83oRYCOLKpmaoU9pJDRTh8-drRIX7Jtiwr0SAbzw 6173
pyprob/distributions/uniform.py sha256=Bcpy1wQAIK_FfdgydNgIaA7e6S7cqoNfL7q4LhOLZS8 718
pyprob/distributions/von_mises.py sha256=6ki7OQ19vg_vo2KbsfJSewvXMuzTNgvC-QDmb1wEgKA 814
pyprob/distributions/weibull.py sha256=1G3lDS6ie81Z5VZc5-Pj_b07upailEdYRn66FxcQBEE 848
pyprob/nn/__init__.py sha256=7AFqnaliDRoTW6nUMmEVOE-r_SlRblSg19K_frnNQYY 1039
pyprob/nn/dataset.py sha256=vJEFXfjqvf7XRv6qC4ks-n5xbxOwqoT9aJXCfOEjBlo 18505
pyprob/nn/embedding_cnn_2d_5c.py sha256=CaSIe3f9CELRPwLDK8s5FFwUIT7wQ80bi8gN9f7ozZg 1524
pyprob/nn/embedding_cnn_3d_5c.py sha256=RuzUqgwhXHFWqqvIcsH-cYpMpuMLcP_yBHpRl9aWi_I 1628
pyprob/nn/embedding_feedforward.py sha256=6G7Eplb5bvVoeQiXU03hBN7K_4LzY3vBFODQpM6hGh0 2163
pyprob/nn/inference_network.py sha256=YgLfXMlmq2dzGY7DYpo9_qkm8hXJS14qYtzZGSBGXy8 33154
pyprob/nn/inference_network_feedforward.py sha256=7OfqpOBaIqtt9wJhoxNAYa7hleWFhgy_kI4pHR8TpZs 5818
pyprob/nn/inference_network_lstm.py sha256=2mjFB0Mdm35xqNbBqE7fvXVJidOcJ0x9E3T884JcmQA 14391
pyprob/nn/optimizer_larc.py sha256=jhtFzJqANPilZx-fulWM2EuVJ-jPEHV79f59nVm_Efg 4264
pyprob/nn/proposal_bernoulli_bernoulli.py sha256=sM8xvi0L7t4M77uEnNNS7d96nEwdEd4AdjXMgTveS8k 707
pyprob/nn/proposal_categorical_categorical.py sha256=82X6kdpl1X_fffbdcQ-p477eB5fyp0trdyOEcbYpMPM 751
pyprob/nn/proposal_normal_normal.py sha256=mJ4VpJRYy4ay-AAU5y2LY29BTIDq0LVtFZe9le9lRms 1316
pyprob/nn/proposal_normal_normal_mixture.py sha256=xtmcOo-iG7iwF-kU36te4xBiPP3JcQdbHr4OpcHRFk4 1819
pyprob/nn/proposal_poisson_truncated_normal_mixture.py sha256=pfSNEPCfVYxbplhHTV1i5DqrBxAGnEUl-JaEg0Oxe4w 1882
pyprob/nn/proposal_uniform_beta.py sha256=zUcR_HPmqV1qNX56oFhePIMdDEbt7iM2rmcFCxrsvXA 1181
pyprob/nn/proposal_uniform_beta_mixture.py sha256=2_ca8xpAtBtv7MeafrtAbDX-Llqnt8e6U7euGGcH2Cg 1671
pyprob/nn/proposal_uniform_truncated_normal_mixture.py sha256=-oZR93oYrDemVghu_EYmlzgibuqrgzlljC3MEuZbYmM 1992
pyprob/ppx/Bernoulli.py sha256=41k_f0OYBfiobTHK8uaPMhMHo86YP_-IFRkykPCvVD8 1837
pyprob/ppx/Beta.py sha256=ShJqRvZaVOo1GRY020-wSI0LljSICViCeulGjsAvNDs 2551
pyprob/ppx/Binomial.py sha256=klPmhiFgOeBhbG_AUai_fnVWbHoe_nfeUMxY0BlxXAA 2478
pyprob/ppx/Categorical.py sha256=WAPK7l0dzllXAlAM89L_42NYy89JmWD5Lr0gItKvoXs 1855
pyprob/ppx/Distribution.py sha256=pRAW0uX2WaLBu51_g0KcUPWTgO7CRxlW3ARfUX7iYpk 315
pyprob/ppx/Exponential.py sha256=u8dFxUcdY9mRjRD4-YHi-U3h-5jdOKKUpha5UhryxvE 1846
pyprob/ppx/Gamma.py sha256=3zJj3gIgzLOCzbMb1yka1CLsIuLoHiUW_U9wSn3aCGs 2463
pyprob/ppx/Handshake.py sha256=dSyvT7Kh9Rdcw1sO1A8vceBugEWJjqsRV4VacMJtmrc 1752
pyprob/ppx/HandshakeResult.py sha256=KdOWF3CWyk5IpBhZae-L2JzZxNCcwhRZQyCw5DFxLJ8 2332
pyprob/ppx/LogNormal.py sha256=iL1XV5jH8x6NIq5keNnqPGQNmVoykeo5ribrZcBc7lc 2426
pyprob/ppx/Message.py sha256=guLWrfnyNPDDIztAFjwDFb-kXOwTMdNhWXQv0fu24lY 2245
pyprob/ppx/MessageBody.py sha256=sespeXI0cpFmSpXh92T6WVVW9zi5c9Qv9jSw4eCzwGw 321
pyprob/ppx/Normal.py sha256=WxojIvoGYiZ1ecAwriMbvuO7J2SpHjS-Pql4YcchAcI 2411
pyprob/ppx/Observe.py sha256=lKHqm_-KjAoNLLLHUTJVqhVz_E4Z7oWLKTHLe0LrrsQ 3952
pyprob/ppx/ObserveResult.py sha256=smBKxybN1cCKRNQcGtNdZ0ZMdQlERCaBPRjSlU9zs8U 1257
pyprob/ppx/Poisson.py sha256=WZuRRMPKDfTCiIvuNJI9LDcb3gYSg4b1Riej9BSZYaw 1810
pyprob/ppx/Reset.py sha256=TE2b2F7gSkFNXpHljP2qM4TJaRRb7LAAgay14WjBAPM 1201
pyprob/ppx/Run.py sha256=TJ9vvrVjzqNde9x-dupwBwhJRpEI8z_xduWi_lDNHaQ 1187
pyprob/ppx/RunResult.py sha256=E4mZr3-J9kLTRuXeBV-WBFd6H8YmHoGw6HYjZz_IEXI 1846
pyprob/ppx/Sample.py sha256=M_cMqhB_2KFVWOlgGzKK1CZlwSmXHDonSLOqbsyaMAk 3802
pyprob/ppx/SampleResult.py sha256=lDjgMbc6AOqW182_cpmZ8d-ruyt-a7UWr8p0advpYnQ 1873
pyprob/ppx/Tag.py sha256=2W85wdvnYIIHuXQIaNtn6PeqBYpJxNlnj8o1-WTZdWc 2724
pyprob/ppx/TagResult.py sha256=GljMZnr8JT66drFrqre5Xt7w86IMd9P7pkltm3chxIU 1229
pyprob/ppx/Tensor.py sha256=POJdlng5iUpyePjhmK32gz__3n69TDniExOtPWpe7gk 4011
pyprob/ppx/Uniform.py sha256=GonpzvxKrq1gYCTPYJQMZTpQY7TmnPwo-zKE6Q83VM4 2395
pyprob/ppx/Weibull.py sha256=7jr3C_dC0gsFD-GM0_bK4GiOZBW1eCT5UEWJNaJu3rQ 2494
pyprob/ppx/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pyprob-1.5.0.dist-info/LICENSE sha256=PlQHt6AiQMctHYOf4mzlxIW50KQFKhbhDT1BRhO5_IQ 1324
pyprob-1.5.0.dist-info/METADATA sha256=yx89QiRjkSNiiRlvVO3oo89KP40NAN5nM12M040oNVw 1258
pyprob-1.5.0.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
pyprob-1.5.0.dist-info/top_level.txt sha256=eSkcRz4xuevY2AubRyaKRmLXOnodEinr2hMgwA6MsTg 7
pyprob-1.5.0.dist-info/RECORD — —

top_level.txt

pyprob