Wheelodex » Projects » pygom » pygom-0.1.8-cp310-cp310-win_amd64.whl

pygom

View on PyPI — Reverse Dependencies (0)

0.1.8 pygom-0.1.8-cp39-cp39-win_amd64.whl
pygom-0.1.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pygom-0.1.8-cp312-cp312-win_amd64.whl
pygom-0.1.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pygom-0.1.8-cp311-cp311-win_amd64.whl
pygom-0.1.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
pygom-0.1.8-cp310-cp310-win_amd64.whl

Wheel Details

Project: pygom
Version: 0.1.8
Filename: pygom-0.1.8-cp310-cp310-win_amd64.whl
Download: [link]
Size: 190381
MD5: 679eeaa9b4e2da51ff7943a45ff9bac6
SHA256: 021ca2eba769a28a36bde0e64a4bfeea48b89685dc7b780b2f41daa7e06336e2
Uploaded: 2024-08-06 19:21:12 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pygom
Version: 0.1.8
Summary: ODE modeling in Python.
Author: Edwin Tye, Hannah Williams, Jonty Carruthers, Martin Grunnill
Author-Email: Thomas Finnie <thomas.finnie[at]ukhsa.gov.uk>, Joe Gibson <joseph.gibson[at]ukhsa.gov.uk>
Project-Url: Homepage, http://ukhsa-collaboration.github.io/pygom/md/intro.html
Project-Url: Issues, https://github.com/ukhsa-collaboration/pygom/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Development Status :: 5 - Production/Stable
Requires-Python: >=3.9
Requires-Dist: setuptools (>=64)
Requires-Dist: setuptools-scm (>=8)
Requires-Dist: setuptools-scm-git-archive
Requires-Dist: dask[complete] (>=0.13.0)
Requires-Dist: graphviz (>=0.4.9)
Requires-Dist: matplotlib (>=1.0.0)
Requires-Dist: numpy (>=1.24.4)
Requires-Dist: pandas (>=2.2.2)
Requires-Dist: python-dateutil (>=2.0.0)
Requires-Dist: scipy (>=1.10.1)
Requires-Dist: sympy (>=1.0.0)
Requires-Dist: numpydoc (>=0.6.0)
Requires-Dist: cython (>=0.29)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 4650 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (72.1.0)
Root-Is-Purelib: false
Tag: cp310-cp310-win_amd64

RECORD

Path Digest Size
pygom/__init__.py sha256=esqv3gztzfHxRSwGw7XRvu9LUiyk6YLQMLQaq-ufX4s 340
pygom/approximate_bayesian_computation/__init__.py sha256=ctmBFOa11s7SI3lhdSUPY8P7-IQilOs8PKD_51sTJSA 487
pygom/approximate_bayesian_computation/approximate_bayesian_computation.py sha256=HOkBbBRJZA-0541ES4eitTrsFY17qNqiBo7GOU5BjNo 33480
pygom/data/eg1.json sha256=UJ4MWy36Li8TtH1_v-7NqLkXXFChqAq8BgDRsYbYLuI 2408
pygom/loss/.gitignore sha256=fLQsPUwZhc9sHrExaH_Ir4YarzTcp5VXRdUotGBq7nk 6
pygom/loss/__init__.py sha256=3Iw7X0uv8u9fQSOI3Dv2PdKNmtRxt7ZnJaeG3tXpA6g 345
pygom/loss/base_loss.py sha256=20pfLj1tkR2b67NJj2oR45e7gIqzyDJgPDjhtHc-i1k 63919
pygom/loss/confidence_interval.py sha256=h9SWChAG9HklFwTDthxqzCjlG0rXdj2FJWkUHJf2Z7A 24059
pygom/loss/epijson_loss.py sha256=XlHvh8nlvbJ0XLWtJMogyPynMOtHYOAIuuocYJTj1ng 2647
pygom/loss/get_init.py sha256=tXMiBeB10T8hW49Kb6Ci97f2rG7oDLGkD4pu6ticwxg 12869
pygom/loss/loss_type.py sha256=7Xxh1f3ptiCW5Rpxwod95DGxjL79zAaPd7627UZan4M 21238
pygom/loss/ode_loss.py sha256=Hobz4Lzk8a6roS2s2Z1_MLvM_jRK5d5v61biropPil8 3728
pygom/loss/read_epijson.py sha256=P-iKHElYAoI1ovSXJsxufUiiEFa-liSebXlxCvHWwdY 4176
pygom/model/__init__.py sha256=9DrEt9k9KCldvHt8eNF75SfqS6iDQ6sW1d6WCoVfcVA 395
pygom/model/_model_errors.py sha256=-WNwubU2kq5AUwFPRlOzW6E_Zr6bOj94yZunqPihkl0 899
pygom/model/_model_verification.py sha256=GyH4M-4pJeYhfOizSHXYosw0Z7pJfz--WDluxbKTNCo 4916
pygom/model/_ode_composition.py sha256=HhBe7fgl8aQorVAtTrQcAuAXRauR8hr0LT7y_-h20dE 12622
pygom/model/_tau_leap.cp310-win_amd64.pyd sha256=Jt9MHbtjU8Mu_xPImG0eIfSYTbVgU-RJbKamjnl5aCw 152576
pygom/model/_tau_leap.pyx sha256=xQnfOtTjPGvRK8lUfl8O2A8STSkaxAo7PSwgu2wHjes 2827
pygom/model/_transition_graph.py sha256=mIs75-naWU78iO4n6k8NjGFDOCQl5jMMyyuS8Tix0cE 4417
pygom/model/base_ode_model.py sha256=RbHVqWnODgjEDkebbqJRWSqQZm2rvVEI_GkedUvhWEk 44452
pygom/model/common_models.py sha256=fwxel8bJXQ7eQ4k5Pwiiw3ZtooqW7nlIJbvTptngNlc 40338
pygom/model/deterministic.py sha256=vICziJDJiGWDFp9Zo33-faAjjYN_1w8tK27IfJBv1D8 77556
pygom/model/epi_analysis.py sha256=zBni3jAU5oD2nsK0CfiHzNB1rfAYB6e4QFN8ggVC_Uc 5167
pygom/model/ode_variable.py sha256=2uemyl_MXx5mNdrYwsnciize5RMl53ymeKF5jJ86lsE 2288
pygom/model/simulate.py sha256=pE2UrV5muOZUT_dE6Prq2sJmqH1-9NNzUc49t_5S0lY 45856
pygom/model/stochastic_simulation.py sha256=wL8UenjDqphyB_XccpY4wtb-uXI7Hou5Oqt2anVkhE0 24171
pygom/model/transition.py sha256=gcsXl6P5Bph3l7qdHRSG4FCa6cTsmvV6hYuEmCBE5uo 9587
pygom/model/ode_utils/__init__.py sha256=1iP0VGyYfvZKt1x9KTEXuMfbbwHn9hpGLln9i3JICbo 22571
pygom/model/ode_utils/checks_and_conversions.py sha256=QqRwSrewoJWyR-0WtONAFTzx-KI2Upey48WVmSwfMkI 4165
pygom/model/ode_utils/compile_canary.py sha256=pEN9cg0Faug8pbB2LabsffP-55z1goIJKPkZrHwaq28 1909
pygom/model/ode_utils/plot_det.py sha256=Xbu8zeL6_vFdJGr6g_tGvbWsNKYxoI1PDRHnNDrfnxU 10097
pygom/model/ode_utils/plot_stoc.py sha256=-ZG0lJcU_-Hv85kzXDjyJQ5Yu4dInMWd7hap3hl0NYQ 2481
pygom/utilR/__init__.py sha256=0dWqQFUx_EuoMEjYj7dseAjf6oxWQ_g0bGpzIAY0j2A 219
pygom/utilR/distn.py sha256=iCR6Z0nRP7kxx364QxrBeHEWFdO0Ml5KnSEpC01Mpck 17804
pygom-0.1.8.dist-info/LICENSE.txt sha256=WndSHyhLmUY9nBoXRaEajFcQgeb7UzLzMubs_FFUyGM 18449
pygom-0.1.8.dist-info/METADATA sha256=ZTdK1bLXDa4vYIBuqUnlq_5NGsJwDizmiLbOUGvBj68 6366
pygom-0.1.8.dist-info/WHEEL sha256=fsW6--WFfuzX2scefE6JfcSZ5dXg5h59u8lqlpL5uuo 101
pygom-0.1.8.dist-info/top_level.txt sha256=eC-Em5JA8er4kEMInT_ahR81XHQytmihQ4VEw2Py4Fo 6
pygom-0.1.8.dist-info/RECORD — —

top_level.txt

pygom