Fix linting.
This commit is contained in:
Mikael CAPELLE
parent
5c43eb2c73
commit
b32d46b641
4
.gitignore
vendored
4
.gitignore
vendored
@ -1,2 +1,6 @@
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# python / VS Code
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venv
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venv
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__pycache__
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__pycache__
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.ruff_cache
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.vscode
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build
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329
poetry.lock
generated
329
poetry.lock
generated
@ -26,52 +26,6 @@ files = [
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astroid = ["astroid (>=2,<4)"]
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astroid = ["astroid (>=2,<4)"]
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test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
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test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
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[[package]]
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name = "black"
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version = "24.10.0"
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description = "The uncompromising code formatter."
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "black-24.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6668650ea4b685440857138e5fe40cde4d652633b1bdffc62933d0db4ed9812"},
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{file = "black-24.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1c536fcf674217e87b8cc3657b81809d3c085d7bf3ef262ead700da345bfa6ea"},
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{file = "black-24.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:649fff99a20bd06c6f727d2a27f401331dc0cc861fb69cde910fe95b01b5928f"},
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{file = "black-24.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:fe4d6476887de70546212c99ac9bd803d90b42fc4767f058a0baa895013fbb3e"},
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{file = "black-24.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5a2221696a8224e335c28816a9d331a6c2ae15a2ee34ec857dcf3e45dbfa99ad"},
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{file = "black-24.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f9da3333530dbcecc1be13e69c250ed8dfa67f43c4005fb537bb426e19200d50"},
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{file = "black-24.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4007b1393d902b48b36958a216c20c4482f601569d19ed1df294a496eb366392"},
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{file = "black-24.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:394d4ddc64782e51153eadcaaca95144ac4c35e27ef9b0a42e121ae7e57a9175"},
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{file = "black-24.10.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b5e39e0fae001df40f95bd8cc36b9165c5e2ea88900167bddf258bacef9bbdc3"},
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{file = "black-24.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d37d422772111794b26757c5b55a3eade028aa3fde43121ab7b673d050949d65"},
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{file = "black-24.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:14b3502784f09ce2443830e3133dacf2c0110d45191ed470ecb04d0f5f6fcb0f"},
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{file = "black-24.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:30d2c30dc5139211dda799758559d1b049f7f14c580c409d6ad925b74a4208a8"},
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{file = "black-24.10.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1cbacacb19e922a1d75ef2b6ccaefcd6e93a2c05ede32f06a21386a04cedb981"},
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{file = "black-24.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1f93102e0c5bb3907451063e08b9876dbeac810e7da5a8bfb7aeb5a9ef89066b"},
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{file = "black-24.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ddacb691cdcdf77b96f549cf9591701d8db36b2f19519373d60d31746068dbf2"},
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{file = "black-24.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:680359d932801c76d2e9c9068d05c6b107f2584b2a5b88831c83962eb9984c1b"},
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{file = "black-24.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:17374989640fbca88b6a448129cd1745c5eb8d9547b464f281b251dd00155ccd"},
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{file = "black-24.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:63f626344343083322233f175aaf372d326de8436f5928c042639a4afbbf1d3f"},
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{file = "black-24.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfa1d0cb6200857f1923b602f978386a3a2758a65b52e0950299ea014be6800"},
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{file = "black-24.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:2cd9c95431d94adc56600710f8813ee27eea544dd118d45896bb734e9d7a0dc7"},
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{file = "black-24.10.0-py3-none-any.whl", hash = "sha256:3bb2b7a1f7b685f85b11fed1ef10f8a9148bceb49853e47a294a3dd963c1dd7d"},
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{file = "black-24.10.0.tar.gz", hash = "sha256:846ea64c97afe3bc677b761787993be4991810ecc7a4a937816dd6bddedc4875"},
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]
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[package.dependencies]
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click = ">=8.0.0"
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mypy-extensions = ">=0.4.3"
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packaging = ">=22.0"
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pathspec = ">=0.9.0"
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platformdirs = ">=2"
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tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
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typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
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[package.extras]
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colorama = ["colorama (>=0.4.3)"]
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d = ["aiohttp (>=3.10)"]
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jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
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uvloop = ["uvloop (>=0.15.2)"]
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[[package]]
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[[package]]
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name = "cffi"
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name = "cffi"
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version = "1.17.1"
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version = "1.17.1"
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@ -151,20 +105,6 @@ files = [
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[package.dependencies]
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[package.dependencies]
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pycparser = "*"
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pycparser = "*"
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[[package]]
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name = "click"
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version = "8.1.7"
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description = "Composable command line interface toolkit"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
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{file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
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]
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[package.dependencies]
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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[[package]]
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[[package]]
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name = "colorama"
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name = "colorama"
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version = "0.4.6"
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version = "0.4.6"
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@ -267,41 +207,6 @@ files = [
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[package.extras]
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[package.extras]
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tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
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tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
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[[package]]
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name = "flake8"
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version = "7.1.1"
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description = "the modular source code checker: pep8 pyflakes and co"
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optional = false
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python-versions = ">=3.8.1"
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files = [
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{file = "flake8-7.1.1-py2.py3-none-any.whl", hash = "sha256:597477df7860daa5aa0fdd84bf5208a043ab96b8e96ab708770ae0364dd03213"},
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{file = "flake8-7.1.1.tar.gz", hash = "sha256:049d058491e228e03e67b390f311bbf88fce2dbaa8fa673e7aea87b7198b8d38"},
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]
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[package.dependencies]
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mccabe = ">=0.7.0,<0.8.0"
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pycodestyle = ">=2.12.0,<2.13.0"
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pyflakes = ">=3.2.0,<3.3.0"
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[[package]]
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name = "flake8-black"
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version = "0.3.6"
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description = "flake8 plugin to call black as a code style validator"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "flake8-black-0.3.6.tar.gz", hash = "sha256:0dfbca3274777792a5bcb2af887a4cad72c72d0e86c94e08e3a3de151bb41c34"},
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{file = "flake8_black-0.3.6-py3-none-any.whl", hash = "sha256:fe8ea2eca98d8a504f22040d9117347f6b367458366952862ac3586e7d4eeaca"},
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]
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[package.dependencies]
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black = ">=22.1.0"
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flake8 = ">=3"
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tomli = {version = "*", markers = "python_version < \"3.11\""}
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[package.extras]
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develop = ["build", "twine"]
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[[package]]
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[[package]]
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name = "ipykernel"
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name = "ipykernel"
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version = "6.29.5"
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version = "6.29.5"
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@ -373,20 +278,6 @@ qtconsole = ["qtconsole"]
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test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
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test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
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test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
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test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
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[[package]]
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name = "isort"
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version = "5.13.2"
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description = "A Python utility / library to sort Python imports."
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
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{file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
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]
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[package.extras]
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colors = ["colorama (>=0.4.6)"]
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[[package]]
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[[package]]
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name = "jedi"
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name = "jedi"
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version = "0.19.2"
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version = "0.19.2"
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@ -462,17 +353,6 @@ files = [
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[package.dependencies]
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[package.dependencies]
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traitlets = "*"
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traitlets = "*"
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[[package]]
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name = "mccabe"
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version = "0.7.0"
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description = "McCabe checker, plugin for flake8"
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
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{file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
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]
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[[package]]
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[[package]]
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name = "mpmath"
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name = "mpmath"
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version = "1.3.0"
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version = "1.3.0"
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@ -490,70 +370,6 @@ docs = ["sphinx"]
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gmpy = ["gmpy2 (>=2.1.0a4)"]
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gmpy = ["gmpy2 (>=2.1.0a4)"]
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tests = ["pytest (>=4.6)"]
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tests = ["pytest (>=4.6)"]
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[[package]]
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name = "mypy"
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version = "1.13.0"
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description = "Optional static typing for Python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a"},
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{file = "mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80"},
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{file = "mypy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b2353a44d2179846a096e25691d54d59904559f4232519d420d64da6828a3a7"},
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{file = "mypy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0730d1c6a2739d4511dc4253f8274cdd140c55c32dfb0a4cf8b7a43f40abfa6f"},
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||||||
{file = "mypy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:c5fc54dbb712ff5e5a0fca797e6e0aa25726c7e72c6a5850cfd2adbc1eb0a372"},
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||||||
{file = "mypy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:581665e6f3a8a9078f28d5502f4c334c0c8d802ef55ea0e7276a6e409bc0d82d"},
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||||||
{file = "mypy-1.13.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3ddb5b9bf82e05cc9a627e84707b528e5c7caaa1c55c69e175abb15a761cec2d"},
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||||||
{file = "mypy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:20c7ee0bc0d5a9595c46f38beb04201f2620065a93755704e141fcac9f59db2b"},
|
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||||||
{file = "mypy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3790ded76f0b34bc9c8ba4def8f919dd6a46db0f5a6610fb994fe8efdd447f73"},
|
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||||||
{file = "mypy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:51f869f4b6b538229c1d1bcc1dd7d119817206e2bc54e8e374b3dfa202defcca"},
|
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||||||
{file = "mypy-1.13.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5c7051a3461ae84dfb5dd15eff5094640c61c5f22257c8b766794e6dd85e72d5"},
|
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||||||
{file = "mypy-1.13.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:39bb21c69a5d6342f4ce526e4584bc5c197fd20a60d14a8624d8743fffb9472e"},
|
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||||||
{file = "mypy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:164f28cb9d6367439031f4c81e84d3ccaa1e19232d9d05d37cb0bd880d3f93c2"},
|
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||||||
{file = "mypy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a4c1bfcdbce96ff5d96fc9b08e3831acb30dc44ab02671eca5953eadad07d6d0"},
|
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||||||
{file = "mypy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0affb3a79a256b4183ba09811e3577c5163ed06685e4d4b46429a271ba174d2"},
|
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||||||
{file = "mypy-1.13.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a7b44178c9760ce1a43f544e595d35ed61ac2c3de306599fa59b38a6048e1aa7"},
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||||||
{file = "mypy-1.13.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5d5092efb8516d08440e36626f0153b5006d4088c1d663d88bf79625af3d1d62"},
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||||||
{file = "mypy-1.13.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:de2904956dac40ced10931ac967ae63c5089bd498542194b436eb097a9f77bc8"},
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{file = "mypy-1.13.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:7bfd8836970d33c2105562650656b6846149374dc8ed77d98424b40b09340ba7"},
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||||||
{file = "mypy-1.13.0-cp313-cp313-win_amd64.whl", hash = "sha256:9f73dba9ec77acb86457a8fc04b5239822df0c14a082564737833d2963677dbc"},
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|
||||||
{file = "mypy-1.13.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:100fac22ce82925f676a734af0db922ecfea991e1d7ec0ceb1e115ebe501301a"},
|
|
||||||
{file = "mypy-1.13.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7bcb0bb7f42a978bb323a7c88f1081d1b5dee77ca86f4100735a6f541299d8fb"},
|
|
||||||
{file = "mypy-1.13.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bde31fc887c213e223bbfc34328070996061b0833b0a4cfec53745ed61f3519b"},
|
|
||||||
{file = "mypy-1.13.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:07de989f89786f62b937851295ed62e51774722e5444a27cecca993fc3f9cd74"},
|
|
||||||
{file = "mypy-1.13.0-cp38-cp38-win_amd64.whl", hash = "sha256:4bde84334fbe19bad704b3f5b78c4abd35ff1026f8ba72b29de70dda0916beb6"},
|
|
||||||
{file = "mypy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0246bcb1b5de7f08f2826451abd947bf656945209b140d16ed317f65a17dc7dc"},
|
|
||||||
{file = "mypy-1.13.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7f5b7deae912cf8b77e990b9280f170381fdfbddf61b4ef80927edd813163732"},
|
|
||||||
{file = "mypy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7029881ec6ffb8bc233a4fa364736789582c738217b133f1b55967115288a2bc"},
|
|
||||||
{file = "mypy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3e38b980e5681f28f033f3be86b099a247b13c491f14bb8b1e1e134d23bb599d"},
|
|
||||||
{file = "mypy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:a6789be98a2017c912ae6ccb77ea553bbaf13d27605d2ca20a76dfbced631b24"},
|
|
||||||
{file = "mypy-1.13.0-py3-none-any.whl", hash = "sha256:9c250883f9fd81d212e0952c92dbfcc96fc237f4b7c92f56ac81fd48460b3e5a"},
|
|
||||||
{file = "mypy-1.13.0.tar.gz", hash = "sha256:0291a61b6fbf3e6673e3405cfcc0e7650bebc7939659fdca2702958038bd835e"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
mypy-extensions = ">=1.0.0"
|
|
||||||
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
|
|
||||||
typing-extensions = ">=4.6.0"
|
|
||||||
|
|
||||||
[package.extras]
|
|
||||||
dmypy = ["psutil (>=4.0)"]
|
|
||||||
faster-cache = ["orjson"]
|
|
||||||
install-types = ["pip"]
|
|
||||||
mypyc = ["setuptools (>=50)"]
|
|
||||||
reports = ["lxml"]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "mypy-extensions"
|
|
||||||
version = "1.0.0"
|
|
||||||
description = "Type system extensions for programs checked with the mypy type checker."
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.5"
|
|
||||||
files = [
|
|
||||||
{file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
|
|
||||||
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "nest-asyncio"
|
name = "nest-asyncio"
|
||||||
version = "1.6.0"
|
version = "1.6.0"
|
||||||
@ -810,17 +626,6 @@ files = [
|
|||||||
{file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"},
|
{file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "pathspec"
|
|
||||||
version = "0.12.1"
|
|
||||||
description = "Utility library for gitignore style pattern matching of file paths."
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
|
|
||||||
files = [
|
|
||||||
{file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"},
|
|
||||||
{file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pexpect"
|
name = "pexpect"
|
||||||
version = "4.9.0"
|
version = "4.9.0"
|
||||||
@ -853,18 +658,19 @@ type = ["mypy (>=1.11.2)"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "poethepoet"
|
name = "poethepoet"
|
||||||
version = "0.24.4"
|
version = "0.31.1"
|
||||||
description = "A task runner that works well with poetry."
|
description = "A task runner that works well with poetry."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.9"
|
||||||
files = [
|
files = [
|
||||||
{file = "poethepoet-0.24.4-py3-none-any.whl", hash = "sha256:fb4ea35d7f40fe2081ea917d2e4102e2310fda2cde78974050ca83896e229075"},
|
{file = "poethepoet-0.31.1-py3-none-any.whl", hash = "sha256:7fdfa0ac6074be9936723e7231b5bfaad2923e96c674a9857e81d326cf8ccdc2"},
|
||||||
{file = "poethepoet-0.24.4.tar.gz", hash = "sha256:ff4220843a87c888cbcb5312c8905214701d0af60ac7271795baa8369b428fef"},
|
{file = "poethepoet-0.31.1.tar.gz", hash = "sha256:d6b66074edf85daf115bb916eae0afd6387d19e1562e1c9ef7d61d5c585696aa"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
pastel = ">=0.2.1,<0.3.0"
|
pastel = ">=0.2.1,<0.3.0"
|
||||||
tomli = ">=1.2.2"
|
pyyaml = ">=6.0.2,<7.0.0"
|
||||||
|
tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""}
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
poetry-plugin = ["poetry (>=1.0,<2.0)"]
|
poetry-plugin = ["poetry (>=1.0,<2.0)"]
|
||||||
@ -938,17 +744,6 @@ files = [
|
|||||||
[package.extras]
|
[package.extras]
|
||||||
tests = ["pytest"]
|
tests = ["pytest"]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "pycodestyle"
|
|
||||||
version = "2.12.1"
|
|
||||||
description = "Python style guide checker"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
|
|
||||||
files = [
|
|
||||||
{file = "pycodestyle-2.12.1-py2.py3-none-any.whl", hash = "sha256:46f0fb92069a7c28ab7bb558f05bfc0110dac69a0cd23c61ea0040283a9d78b3"},
|
|
||||||
{file = "pycodestyle-2.12.1.tar.gz", hash = "sha256:6838eae08bbce4f6accd5d5572075c63626a15ee3e6f842df996bf62f6d73521"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pycparser"
|
name = "pycparser"
|
||||||
version = "2.22"
|
version = "2.22"
|
||||||
@ -960,17 +755,6 @@ files = [
|
|||||||
{file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
|
{file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "pyflakes"
|
|
||||||
version = "3.2.0"
|
|
||||||
description = "passive checker of Python programs"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
|
|
||||||
files = [
|
|
||||||
{file = "pyflakes-3.2.0-py2.py3-none-any.whl", hash = "sha256:84b5be138a2dfbb40689ca07e2152deb896a65c3a3e24c251c5c62489568074a"},
|
|
||||||
{file = "pyflakes-3.2.0.tar.gz", hash = "sha256:1c61603ff154621fb2a9172037d84dca3500def8c8b630657d1701f026f8af3f"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pygments"
|
name = "pygments"
|
||||||
version = "2.18.0"
|
version = "2.18.0"
|
||||||
@ -1057,6 +841,68 @@ files = [
|
|||||||
{file = "pywin32-308-cp39-cp39-win_amd64.whl", hash = "sha256:71b3322d949b4cc20776436a9c9ba0eeedcbc9c650daa536df63f0ff111bb920"},
|
{file = "pywin32-308-cp39-cp39-win_amd64.whl", hash = "sha256:71b3322d949b4cc20776436a9c9ba0eeedcbc9c650daa536df63f0ff111bb920"},
|
||||||
]
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "pyyaml"
|
||||||
|
version = "6.0.2"
|
||||||
|
description = "YAML parser and emitter for Python"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"},
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"},
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"},
|
||||||
|
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||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"},
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"},
|
||||||
|
{file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"},
|
||||||
|
{file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"},
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||||||
|
{file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"},
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||||||
|
{file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"},
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||||||
|
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||||||
|
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||||||
|
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||||||
|
{file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"},
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||||||
|
{file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"},
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||||||
|
{file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"},
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||||||
|
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||||||
|
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||||||
|
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|
||||||
|
{file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"},
|
||||||
|
{file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"},
|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"},
|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"},
|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"},
|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"},
|
||||||
|
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|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"},
|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"},
|
||||||
|
{file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"},
|
||||||
|
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|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"},
|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"},
|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"},
|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"},
|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"},
|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"},
|
||||||
|
{file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"},
|
||||||
|
{file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"},
|
||||||
|
{file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
|
||||||
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pyzmq"
|
name = "pyzmq"
|
||||||
version = "26.2.0"
|
version = "26.2.0"
|
||||||
@ -1180,28 +1026,29 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "ruff"
|
name = "ruff"
|
||||||
version = "0.1.15"
|
version = "0.8.1"
|
||||||
description = "An extremely fast Python linter and code formatter, written in Rust."
|
description = "An extremely fast Python linter and code formatter, written in Rust."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.7"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:5fe8d54df166ecc24106db7dd6a68d44852d14eb0729ea4672bb4d96c320b7df"},
|
{file = "ruff-0.8.1-py3-none-linux_armv6l.whl", hash = "sha256:fae0805bd514066f20309f6742f6ee7904a773eb9e6c17c45d6b1600ca65c9b5"},
|
||||||
{file = "ruff-0.1.15-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6f0bfbb53c4b4de117ac4d6ddfd33aa5fc31beeaa21d23c45c6dd249faf9126f"},
|
{file = "ruff-0.8.1-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:b8a4f7385c2285c30f34b200ca5511fcc865f17578383db154e098150ce0a087"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e0d432aec35bfc0d800d4f70eba26e23a352386be3a6cf157083d18f6f5881c8"},
|
{file = "ruff-0.8.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:cd054486da0c53e41e0086e1730eb77d1f698154f910e0cd9e0d64274979a209"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9405fa9ac0e97f35aaddf185a1be194a589424b8713e3b97b762336ec79ff807"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2029b8c22da147c50ae577e621a5bfbc5d1fed75d86af53643d7a7aee1d23871"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c66ec24fe36841636e814b8f90f572a8c0cb0e54d8b5c2d0e300d28a0d7bffec"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2666520828dee7dfc7e47ee4ea0d928f40de72056d929a7c5292d95071d881d1"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:6f8ad828f01e8dd32cc58bc28375150171d198491fc901f6f98d2a39ba8e3ff5"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:333c57013ef8c97a53892aa56042831c372e0bb1785ab7026187b7abd0135ad5"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86811954eec63e9ea162af0ffa9f8d09088bab51b7438e8b6488b9401863c25e"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:288326162804f34088ac007139488dcb43de590a5ccfec3166396530b58fb89d"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd4025ac5e87d9b80e1f300207eb2fd099ff8200fa2320d7dc066a3f4622dc6b"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b12c39b9448632284561cbf4191aa1b005882acbc81900ffa9f9f471c8ff7e26"},
|
||||||
{file = "ruff-0.1.15-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b17b93c02cdb6aeb696effecea1095ac93f3884a49a554a9afa76bb125c114c1"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:364e6674450cbac8e998f7b30639040c99d81dfb5bbc6dfad69bc7a8f916b3d1"},
|
||||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:ddb87643be40f034e97e97f5bc2ef7ce39de20e34608f3f829db727a93fb82c5"},
|
{file = "ruff-0.8.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b22346f845fec132aa39cd29acb94451d030c10874408dbf776af3aaeb53284c"},
|
||||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:abf4822129ed3a5ce54383d5f0e964e7fef74a41e48eb1dfad404151efc130a2"},
|
{file = "ruff-0.8.1-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:b2f2f7a7e7648a2bfe6ead4e0a16745db956da0e3a231ad443d2a66a105c04fa"},
|
||||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6c629cf64bacfd136c07c78ac10a54578ec9d1bd2a9d395efbee0935868bf852"},
|
{file = "ruff-0.8.1-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:adf314fc458374c25c5c4a4a9270c3e8a6a807b1bec018cfa2813d6546215540"},
|
||||||
{file = "ruff-0.1.15-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1bab866aafb53da39c2cadfb8e1c4550ac5340bb40300083eb8967ba25481447"},
|
{file = "ruff-0.8.1-py3-none-musllinux_1_2_i686.whl", hash = "sha256:a885d68342a231b5ba4d30b8c6e1b1ee3a65cf37e3d29b3c74069cdf1ee1e3c9"},
|
||||||
{file = "ruff-0.1.15-py3-none-win32.whl", hash = "sha256:2417e1cb6e2068389b07e6fa74c306b2810fe3ee3476d5b8a96616633f40d14f"},
|
{file = "ruff-0.8.1-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:d2c16e3508c8cc73e96aa5127d0df8913d2290098f776416a4b157657bee44c5"},
|
||||||
{file = "ruff-0.1.15-py3-none-win_amd64.whl", hash = "sha256:3837ac73d869efc4182d9036b1405ef4c73d9b1f88da2413875e34e0d6919587"},
|
{file = "ruff-0.8.1-py3-none-win32.whl", hash = "sha256:93335cd7c0eaedb44882d75a7acb7df4b77cd7cd0d2255c93b28791716e81790"},
|
||||||
{file = "ruff-0.1.15-py3-none-win_arm64.whl", hash = "sha256:9a933dfb1c14ec7a33cceb1e49ec4a16b51ce3c20fd42663198746efc0427360"},
|
{file = "ruff-0.8.1-py3-none-win_amd64.whl", hash = "sha256:2954cdbe8dfd8ab359d4a30cd971b589d335a44d444b6ca2cb3d1da21b75e4b6"},
|
||||||
{file = "ruff-0.1.15.tar.gz", hash = "sha256:f6dfa8c1b21c913c326919056c390966648b680966febcb796cc9d1aaab8564e"},
|
{file = "ruff-0.8.1-py3-none-win_arm64.whl", hash = "sha256:55873cc1a473e5ac129d15eccb3c008c096b94809d693fc7053f588b67822737"},
|
||||||
|
{file = "ruff-0.8.1.tar.gz", hash = "sha256:3583db9a6450364ed5ca3f3b4225958b24f78178908d5c4bc0f46251ccca898f"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1434,4 +1281,4 @@ files = [
|
|||||||
[metadata]
|
[metadata]
|
||||||
lock-version = "2.0"
|
lock-version = "2.0"
|
||||||
python-versions = "^3.10"
|
python-versions = "^3.10"
|
||||||
content-hash = "f30e6716b379f51af355d186d036726fb112457b561862a73c58c2ea47cb2a2a"
|
content-hash = "b643261f91a781d77735e05f6d2ac1002867600c2df6393a9d1a15f5e1189109"
|
||||||
|
|||||||
@ -17,35 +17,25 @@ sympy = "^1.13.3"
|
|||||||
networkx = "^3.4.2"
|
networkx = "^3.4.2"
|
||||||
pandas = "^2.2.3"
|
pandas = "^2.2.3"
|
||||||
|
|
||||||
|
[tool.poetry.group.dev.dependencies]
|
||||||
|
pyright = "^1.1.389"
|
||||||
|
ruff = "^0.8.1"
|
||||||
|
poethepoet = "^0.31.1"
|
||||||
|
ipykernel = "^6.29.5"
|
||||||
|
networkx-stubs = "^0.0.1"
|
||||||
|
|
||||||
[tool.poetry.scripts]
|
[tool.poetry.scripts]
|
||||||
holt59-aoc = "holt59.aoc.__main__:main"
|
holt59-aoc = "holt59.aoc.__main__:main"
|
||||||
|
|
||||||
[tool.poe.tasks]
|
[tool.poe.tasks]
|
||||||
lint-black = "black --check --diff src tests typings"
|
format-imports = "ruff check --select I src --fix"
|
||||||
lint-isort = "isort -c src tests typings"
|
format-ruff = "ruff format src"
|
||||||
lint-ruff = "ruff src tests typings"
|
format.sequence = ["format-imports", "format-ruff"]
|
||||||
lint-flake8 = "flake8 src tests typings"
|
lint-ruff = "ruff check src"
|
||||||
lint-pyright = "pyright src tests"
|
lint-ruff-format = "ruff format --check src"
|
||||||
lint-all.sequence = [
|
lint-pyright = "pyright src"
|
||||||
"lint-black",
|
lint.sequence = ["lint-ruff", "lint-ruff-format", "lint-pyright"]
|
||||||
"lint-isort",
|
lint.ignore_fail = "return_non_zero"
|
||||||
"lint-flake8",
|
|
||||||
"lint-ruff",
|
|
||||||
"lint-pyright",
|
|
||||||
]
|
|
||||||
lint-all.ignore_fail = "return_non_zero"
|
|
||||||
|
|
||||||
[tool.poetry.group.dev.dependencies]
|
|
||||||
flake8 = "^7.1.1"
|
|
||||||
flake8-black = "^0.3.6"
|
|
||||||
black = "^24.10.0"
|
|
||||||
pyright = "^1.1.389"
|
|
||||||
mypy = "^1.13.0"
|
|
||||||
isort = "^5.13.2"
|
|
||||||
ruff = "^0.1.8"
|
|
||||||
poethepoet = "^0.24.4"
|
|
||||||
ipykernel = "^6.29.5"
|
|
||||||
networkx-stubs = "^0.0.1"
|
|
||||||
|
|
||||||
[build-system]
|
[build-system]
|
||||||
requires = ["poetry-core"]
|
requires = ["poetry-core"]
|
||||||
|
|||||||
@ -2,7 +2,7 @@ from __future__ import annotations
|
|||||||
|
|
||||||
import heapq
|
import heapq
|
||||||
import sys
|
import sys
|
||||||
from typing import Literal, TypeAlias
|
from typing import Literal, TypeAlias, cast
|
||||||
|
|
||||||
PlayerType: TypeAlias = Literal["player", "boss"]
|
PlayerType: TypeAlias = Literal["player", "boss"]
|
||||||
SpellType: TypeAlias = Literal["magic missile", "drain", "shield", "poison", "recharge"]
|
SpellType: TypeAlias = Literal["magic missile", "drain", "shield", "poison", "recharge"]
|
||||||
@ -18,6 +18,16 @@ Node: TypeAlias = tuple[
|
|||||||
tuple[tuple[SpellType, int], ...],
|
tuple[tuple[SpellType, int], ...],
|
||||||
]
|
]
|
||||||
|
|
||||||
|
ATTACK_SPELLS: list[tuple[SpellType, int, int, int]] = [
|
||||||
|
("magic missile", 53, 4, 0),
|
||||||
|
("drain", 73, 2, 2),
|
||||||
|
]
|
||||||
|
BUFF_SPELLS: list[tuple[BuffType, int, int]] = [
|
||||||
|
("shield", 113, 6),
|
||||||
|
("poison", 173, 6),
|
||||||
|
("recharge", 229, 5),
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
def play(
|
def play(
|
||||||
player_hp: int,
|
player_hp: int,
|
||||||
@ -97,10 +107,7 @@ def play(
|
|||||||
else:
|
else:
|
||||||
buff_types = {b for b, _ in buffs}
|
buff_types = {b for b, _ in buffs}
|
||||||
|
|
||||||
for spell, cost, damage, regeneration in (
|
for spell, cost, damage, regeneration in ATTACK_SPELLS:
|
||||||
("magic missile", 53, 4, 0),
|
|
||||||
("drain", 73, 2, 2),
|
|
||||||
):
|
|
||||||
if player_mana < cost:
|
if player_mana < cost:
|
||||||
continue
|
continue
|
||||||
|
|
||||||
@ -114,15 +121,11 @@ def play(
|
|||||||
player_armor,
|
player_armor,
|
||||||
max(0, boss_hp - damage),
|
max(0, boss_hp - damage),
|
||||||
buffs,
|
buffs,
|
||||||
spells + ((spell, cost),),
|
spells + cast("tuple[tuple[SpellType, int]]", ((spell, cost),)),
|
||||||
),
|
),
|
||||||
)
|
)
|
||||||
|
|
||||||
for buff_type, buff_cost, buff_length in (
|
for buff_type, buff_cost, buff_length in BUFF_SPELLS:
|
||||||
("shield", 113, 6),
|
|
||||||
("poison", 173, 6),
|
|
||||||
("recharge", 229, 5),
|
|
||||||
):
|
|
||||||
if buff_type in buff_types:
|
if buff_type in buff_types:
|
||||||
continue
|
continue
|
||||||
|
|
||||||
@ -138,8 +141,14 @@ def play(
|
|||||||
player_mana - buff_cost,
|
player_mana - buff_cost,
|
||||||
player_armor + 7 * (buff_type == "shield"),
|
player_armor + 7 * (buff_type == "shield"),
|
||||||
boss_hp,
|
boss_hp,
|
||||||
buffs + ((buff_type, buff_length),),
|
buffs
|
||||||
spells + ((buff_type, buff_cost),),
|
+ cast(
|
||||||
|
"tuple[tuple[BuffType, int]]", ((buff_type, buff_length),)
|
||||||
|
),
|
||||||
|
spells
|
||||||
|
+ cast(
|
||||||
|
"tuple[tuple[SpellType, int]]", ((buff_type, buff_cost),)
|
||||||
|
),
|
||||||
),
|
),
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|||||||
@ -10,7 +10,8 @@ lines = sys.stdin.read().splitlines()
|
|||||||
distances: dict[str, dict[str, int]] = defaultdict(dict)
|
distances: dict[str, dict[str, int]] = defaultdict(dict)
|
||||||
for line in lines:
|
for line in lines:
|
||||||
origin, destination, length = cast(
|
origin, destination, length = cast(
|
||||||
tuple[str, str, int], parse.parse("{} to {} = {:d}", line) # type: ignore
|
tuple[str, str, int],
|
||||||
|
parse.parse("{} to {} = {:d}", line), # type: ignore
|
||||||
)
|
)
|
||||||
distances[origin][destination] = distances[destination][origin] = length
|
distances[origin][destination] = distances[destination][origin] = length
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,12 +1,13 @@
|
|||||||
import sys
|
import sys
|
||||||
from math import prod
|
from math import prod
|
||||||
from typing import Literal, cast
|
from typing import Literal, TypeAlias, cast
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
commands = [
|
Command: TypeAlias = Literal["forward", "up", "down"]
|
||||||
(cast(Literal["forward", "up", "down"], (p := line.split())[0]), int(p[1]))
|
|
||||||
for line in lines
|
commands: list[tuple[Command, int]] = [
|
||||||
|
(cast(Command, (p := line.split())[0]), int(p[1])) for line in lines
|
||||||
]
|
]
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,6 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
|
||||||
from dataclasses import dataclass
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = sys.stdin.read().splitlines()
|
||||||
|
|
||||||
|
|||||||
@ -1,21 +1,19 @@
|
|||||||
import sys
|
import sys
|
||||||
|
|
||||||
import numpy as np
|
positions = [int(c) for c in sys.stdin.read().strip().split(",")]
|
||||||
|
|
||||||
positions = np.asarray([int(c) for c in sys.stdin.read().strip().split(",")])
|
min_position, max_position = min(positions), max(positions)
|
||||||
|
|
||||||
min_position, max_position = positions.min(), positions.max()
|
|
||||||
|
|
||||||
# part 1
|
# part 1
|
||||||
answer_1 = min(
|
answer_1 = min(
|
||||||
np.sum(np.abs(positions - position))
|
sum(abs(p - position) for p in positions)
|
||||||
for position in range(min_position, max_position + 1)
|
for position in range(min_position, max_position + 1)
|
||||||
)
|
)
|
||||||
print(f"answer 1 is {answer_1}")
|
print(f"answer 1 is {answer_1}")
|
||||||
|
|
||||||
# part 2
|
# part 2
|
||||||
answer_2 = min(
|
answer_2 = min(
|
||||||
np.sum(abs(positions - position) * (abs(positions - position) + 1) // 2)
|
sum(abs(p - position) * (abs(p - position) + 1) // 2 for p in positions)
|
||||||
for position in range(min_position, max_position + 1)
|
for position in range(min_position, max_position + 1)
|
||||||
)
|
)
|
||||||
print(f"answer 2 is {answer_2}")
|
print(f"answer 2 is {answer_2}")
|
||||||
|
|||||||
@ -122,8 +122,8 @@ lines = sys.stdin.read().splitlines()
|
|||||||
|
|
||||||
grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
|
grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
|
||||||
|
|
||||||
start: tuple[int, int]
|
start: tuple[int, int] | None = None
|
||||||
end: tuple[int, int]
|
end: tuple[int, int] | None = None
|
||||||
|
|
||||||
# for part 2
|
# for part 2
|
||||||
start_s: list[tuple[int, int]] = []
|
start_s: list[tuple[int, int]] = []
|
||||||
@ -138,6 +138,9 @@ for i_row, row in enumerate(grid):
|
|||||||
elif col == 0:
|
elif col == 0:
|
||||||
start_s.append((i_row, i_col))
|
start_s.append((i_row, i_col))
|
||||||
|
|
||||||
|
assert start is not None
|
||||||
|
assert end is not None
|
||||||
|
|
||||||
# fix values
|
# fix values
|
||||||
grid[start[0]][start[1]] = 0
|
grid[start[0]][start[1]] = 0
|
||||||
grid[end[0]][end[1]] = ord("z") - ord("a")
|
grid[end[0]][end[1]] = ord("z") - ord("a")
|
||||||
|
|||||||
@ -1,20 +1,22 @@
|
|||||||
import sys
|
import sys
|
||||||
|
from typing import Any
|
||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
import parse
|
import parse # type: ignore
|
||||||
|
from numpy.typing import NDArray
|
||||||
|
|
||||||
|
|
||||||
def part1(sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int) -> int:
|
def part1(sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int) -> int:
|
||||||
no_beacons_row_l: list[np.ndarray] = []
|
no_beacons_row_l: list[NDArray[np.floating[Any]]] = []
|
||||||
|
|
||||||
for (sx, sy), (bx, by) in sensor_to_beacon.items():
|
for (sx, sy), (bx, by) in sensor_to_beacon.items():
|
||||||
d = abs(sx - bx) + abs(sy - by) # closest
|
d = abs(sx - bx) + abs(sy - by) # closest
|
||||||
|
|
||||||
no_beacons_row_l.append(sx - np.arange(0, d - abs(sy - row) + 1))
|
no_beacons_row_l.append(sx - np.arange(0, d - abs(sy - row) + 1)) # type: ignore
|
||||||
no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1))
|
no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1)) # type: ignore
|
||||||
|
|
||||||
beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row)
|
beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row)
|
||||||
no_beacons_row = set(np.concatenate(no_beacons_row_l)).difference(beacons_at_row)
|
no_beacons_row = set(np.concatenate(no_beacons_row_l)).difference(beacons_at_row) # type: ignore
|
||||||
|
|
||||||
return len(no_beacons_row)
|
return len(no_beacons_row)
|
||||||
|
|
||||||
@ -56,11 +58,12 @@ def part2_cplex(
|
|||||||
|
|
||||||
for (sx, sy), (bx, by) in sensor_to_beacon.items():
|
for (sx, sy), (bx, by) in sensor_to_beacon.items():
|
||||||
d = abs(sx - bx) + abs(sy - by)
|
d = abs(sx - bx) + abs(sy - by)
|
||||||
m.add_constraint(m.abs(x - sx) + m.abs(y - sy) >= d + 1, ctname=f"ct_{sx}_{sy}")
|
m.add_constraint(m.abs(x - sx) + m.abs(y - sy) >= d + 1, ctname=f"ct_{sx}_{sy}") # type: ignore
|
||||||
|
|
||||||
m.set_objective("min", x + y)
|
m.set_objective("min", x + y)
|
||||||
|
|
||||||
s = m.solve()
|
s = m.solve()
|
||||||
|
assert s is not None
|
||||||
|
|
||||||
vx = int(s.get_value(x))
|
vx = int(s.get_value(x))
|
||||||
vy = int(s.get_value(y))
|
vy = int(s.get_value(y))
|
||||||
@ -72,7 +75,7 @@ lines = sys.stdin.read().splitlines()
|
|||||||
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {}
|
sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {}
|
||||||
|
|
||||||
for line in lines:
|
for line in lines:
|
||||||
r = parse.parse(
|
r: dict[str, str] = parse.parse( # type: ignore
|
||||||
"Sensor at x={sx}, y={sy}: closest beacon is at x={bx}, y={by}", line
|
"Sensor at x={sx}, y={sy}: closest beacon is at x={bx}, y={by}", line
|
||||||
)
|
)
|
||||||
sensor_to_beacon[int(r["sx"]), int(r["sy"])] = (int(r["bx"]), int(r["by"]))
|
sensor_to_beacon[int(r["sx"]), int(r["sy"])] = (int(r["bx"]), int(r["by"]))
|
||||||
|
|||||||
@ -1,5 +1,4 @@
|
|||||||
import sys
|
import sys
|
||||||
from typing import FrozenSet
|
|
||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
|
||||||
|
|||||||
@ -1,9 +1,9 @@
|
|||||||
import sys
|
import sys
|
||||||
from typing import Literal
|
from typing import Any, Literal
|
||||||
|
|
||||||
import numpy as np
|
import numpy as np
|
||||||
import parse
|
import parse # pyright: ignore[reportMissingTypeStubs]
|
||||||
from tqdm import tqdm
|
from numpy.typing import NDArray
|
||||||
|
|
||||||
Reagent = Literal["ore", "clay", "obsidian", "geode"]
|
Reagent = Literal["ore", "clay", "obsidian", "geode"]
|
||||||
REAGENTS: tuple[Reagent, ...] = (
|
REAGENTS: tuple[Reagent, ...] = (
|
||||||
@ -35,7 +35,7 @@ class State:
|
|||||||
self.robots = robots
|
self.robots = robots
|
||||||
self.reagents = reagents
|
self.reagents = reagents
|
||||||
|
|
||||||
def __eq__(self, other) -> bool:
|
def __eq__(self, other: object) -> bool:
|
||||||
return (
|
return (
|
||||||
isinstance(other, State)
|
isinstance(other, State)
|
||||||
and self.robots == other.robots
|
and self.robots == other.robots
|
||||||
@ -66,7 +66,7 @@ lines = sys.stdin.read().splitlines()
|
|||||||
|
|
||||||
blueprints: list[dict[Reagent, IntOfReagent]] = []
|
blueprints: list[dict[Reagent, IntOfReagent]] = []
|
||||||
for line in lines:
|
for line in lines:
|
||||||
r = parse.parse(
|
r: list[int] = parse.parse( # type: ignore
|
||||||
"Blueprint {}: "
|
"Blueprint {}: "
|
||||||
"Each ore robot costs {:d} ore. "
|
"Each ore robot costs {:d} ore. "
|
||||||
"Each clay robot costs {:d} ore. "
|
"Each clay robot costs {:d} ore. "
|
||||||
@ -94,11 +94,12 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
|
|||||||
name: max(blueprint[r].get(name, 0) for r in REAGENTS) for name in REAGENTS
|
name: max(blueprint[r].get(name, 0) for r in REAGENTS) for name in REAGENTS
|
||||||
}
|
}
|
||||||
|
|
||||||
state_after_t: dict[int, set[State]] = {0: [State()]}
|
state_after_t: dict[int, set[State]] = {0: {State()}}
|
||||||
|
|
||||||
for t in range(1, max_time + 1):
|
for t in range(1, max_time + 1):
|
||||||
# list of new states at the end of step t that we are going to prune later
|
# list of new states at the end of step t that we are going to prune later
|
||||||
states_for_t: set[State] = set()
|
states_for_t: set[State] = set()
|
||||||
|
robots_that_can_be_built: list[Reagent]
|
||||||
|
|
||||||
for state in state_after_t[t - 1]:
|
for state in state_after_t[t - 1]:
|
||||||
robots_that_can_be_built = [
|
robots_that_can_be_built = [
|
||||||
@ -132,7 +133,7 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
|
|||||||
for robot in robots_that_can_be_built:
|
for robot in robots_that_can_be_built:
|
||||||
robots = state.robots.copy()
|
robots = state.robots.copy()
|
||||||
robots[robot] += 1
|
robots[robot] += 1
|
||||||
reagents = {
|
reagents: IntOfReagent = {
|
||||||
reagent: state.reagents[reagent]
|
reagent: state.reagents[reagent]
|
||||||
+ state.robots[reagent]
|
+ state.robots[reagent]
|
||||||
- blueprint[robot].get(reagent, 0)
|
- blueprint[robot].get(reagent, 0)
|
||||||
@ -151,7 +152,7 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
|
|||||||
]
|
]
|
||||||
)
|
)
|
||||||
|
|
||||||
to_keep = []
|
to_keep: list[NDArray[np.integer[Any]]] = []
|
||||||
while len(np_states) > 0:
|
while len(np_states) > 0:
|
||||||
first_dom = (np_states[1:] >= np_states[0]).all(axis=1).any()
|
first_dom = (np_states[1:] >= np_states[0]).all(axis=1).any()
|
||||||
|
|
||||||
|
|||||||
@ -56,7 +56,7 @@ def propagate(
|
|||||||
[() for _ in range(len(layout[0]))] for _ in range(len(layout))
|
[() for _ in range(len(layout[0]))] for _ in range(len(layout))
|
||||||
]
|
]
|
||||||
|
|
||||||
queue = [(start, direction)]
|
queue: list[tuple[tuple[int, int], Direction]] = [(start, direction)]
|
||||||
|
|
||||||
while queue:
|
while queue:
|
||||||
(row, col), direction = queue.pop()
|
(row, col), direction = queue.pop()
|
||||||
|
|||||||
@ -114,11 +114,12 @@ for workflow_s in workflows_s.split("\n"):
|
|||||||
for block in block_s[:-1].split(","):
|
for block in block_s[:-1].split(","):
|
||||||
check: Check
|
check: Check
|
||||||
if (i := block.find(":")) >= 0:
|
if (i := block.find(":")) >= 0:
|
||||||
check, target = (
|
check = (
|
||||||
cast(Category, block[0]),
|
cast(Category, block[0]),
|
||||||
cast(Literal["<", ">"], block[1]),
|
cast(Literal["<", ">"], block[1]),
|
||||||
int(block[2:i]),
|
int(block[2:i]),
|
||||||
), block[i + 1 :]
|
)
|
||||||
|
target = block[i + 1 :]
|
||||||
else:
|
else:
|
||||||
check, target = None, block
|
check, target = None, block
|
||||||
workflows[name].append((check, target))
|
workflows[name].append((check, target))
|
||||||
|
|||||||
@ -19,7 +19,7 @@ def _name(i: int) -> str:
|
|||||||
|
|
||||||
|
|
||||||
def build_supports(
|
def build_supports(
|
||||||
bricks: list[tuple[tuple[int, int, int], tuple[int, int, int]]]
|
bricks: list[tuple[tuple[int, int, int], tuple[int, int, int]]],
|
||||||
) -> tuple[dict[int, set[int]], dict[int, set[int]]]:
|
) -> tuple[dict[int, set[int]], dict[int, set[int]]]:
|
||||||
# 1. compute locations where a brick of sand will land after falling by processing
|
# 1. compute locations where a brick of sand will land after falling by processing
|
||||||
# them in sorted order of bottom z location
|
# them in sorted order of bottom z location
|
||||||
|
|||||||
@ -2,24 +2,34 @@ import logging
|
|||||||
import os
|
import os
|
||||||
import sys
|
import sys
|
||||||
from collections import defaultdict
|
from collections import defaultdict
|
||||||
|
from typing import Literal, Sequence, TypeAlias, cast
|
||||||
|
|
||||||
VERBOSE = os.getenv("AOC_VERBOSE") == "True"
|
VERBOSE = os.getenv("AOC_VERBOSE") == "True"
|
||||||
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
|
logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
|
||||||
|
|
||||||
Direction = {
|
DirectionType: TypeAlias = Literal[">", "<", "^", "v", ".", "#"]
|
||||||
|
|
||||||
|
Direction: dict[DirectionType, tuple[int, int]] = {
|
||||||
">": (0, +1),
|
">": (0, +1),
|
||||||
"<": (0, -1),
|
"<": (0, -1),
|
||||||
"^": (-1, 0),
|
"^": (-1, 0),
|
||||||
"v": (+1, 0),
|
"v": (+1, 0),
|
||||||
}
|
}
|
||||||
|
|
||||||
Neighbors = {".": ((+1, 0), (-1, 0), (0, +1), (0, -1)), "#": ()} | {
|
Neighbors = cast(
|
||||||
k: (v,) for k, v in Direction.items()
|
"dict[DirectionType, tuple[tuple[int, int], ...]]",
|
||||||
|
{
|
||||||
|
".": ((+1, 0), (-1, 0), (0, +1), (0, -1)),
|
||||||
|
"#": (),
|
||||||
}
|
}
|
||||||
|
| {k: (v,) for k, v in Direction.items()},
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
def neighbors(
|
def neighbors(
|
||||||
grid: list[str], node: tuple[int, int], ignore: set[tuple[int, int]] = set()
|
grid: list[Sequence[DirectionType]],
|
||||||
|
node: tuple[int, int],
|
||||||
|
ignore: set[tuple[int, int]] = set(),
|
||||||
):
|
):
|
||||||
"""
|
"""
|
||||||
Compute neighbors of the given node, ignoring the given set of nodes and considering
|
Compute neighbors of the given node, ignoring the given set of nodes and considering
|
||||||
@ -51,7 +61,7 @@ def neighbors(
|
|||||||
|
|
||||||
|
|
||||||
def reachable(
|
def reachable(
|
||||||
grid: list[str], start: tuple[int, int], target: tuple[int, int]
|
grid: list[Sequence[DirectionType]], start: tuple[int, int], target: tuple[int, int]
|
||||||
) -> tuple[tuple[int, int], int]:
|
) -> tuple[tuple[int, int], int]:
|
||||||
"""
|
"""
|
||||||
Compute the next 'reachable' node in the grid, starting at the given node.
|
Compute the next 'reachable' node in the grid, starting at the given node.
|
||||||
@ -75,7 +85,7 @@ def reachable(
|
|||||||
|
|
||||||
|
|
||||||
def compute_direct_links(
|
def compute_direct_links(
|
||||||
grid: list[str], start: tuple[int, int], target: tuple[int, int]
|
grid: list[Sequence[DirectionType]], start: tuple[int, int], target: tuple[int, int]
|
||||||
) -> dict[tuple[int, int], list[tuple[tuple[int, int], int]]]:
|
) -> dict[tuple[int, int], list[tuple[tuple[int, int], int]]]:
|
||||||
if start == target:
|
if start == target:
|
||||||
return {}
|
return {}
|
||||||
@ -85,7 +95,7 @@ def compute_direct_links(
|
|||||||
i, j = neighbor
|
i, j = neighbor
|
||||||
di, dj = Direction[grid[i][j]]
|
di, dj = Direction[grid[i][j]]
|
||||||
|
|
||||||
reach, distance = reachable(lines, (i + di, j + dj), target)
|
reach, distance = reachable(grid, (i + di, j + dj), target)
|
||||||
direct[start].append((reach, distance + 2))
|
direct[start].append((reach, distance + 2))
|
||||||
|
|
||||||
direct.update(compute_direct_links(grid, reach, target))
|
direct.update(compute_direct_links(grid, reach, target))
|
||||||
@ -124,7 +134,7 @@ def longest_path_length(
|
|||||||
return max_distance
|
return max_distance
|
||||||
|
|
||||||
|
|
||||||
lines = sys.stdin.read().splitlines()
|
lines = cast(list[Sequence[DirectionType]], sys.stdin.read().splitlines())
|
||||||
n_rows, n_cols = len(lines), len(lines[0])
|
n_rows, n_cols = len(lines), len(lines[0])
|
||||||
start = (0, 1)
|
start = (0, 1)
|
||||||
target = (len(lines) - 1, len(lines[0]) - 2)
|
target = (len(lines) - 1, len(lines[0]) - 2)
|
||||||
|
|||||||
0
typings/docplex/__init__.pyi
Normal file
0
typings/docplex/__init__.pyi
Normal file
0
typings/docplex/mp/__init__.pyi
Normal file
0
typings/docplex/mp/__init__.pyi
Normal file
8
typings/docplex/mp/basic.pyi
Normal file
8
typings/docplex/mp/basic.pyi
Normal file
@ -0,0 +1,8 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from typing import Literal
|
||||||
|
|
||||||
|
from docplex.mp.operand import Operand
|
||||||
|
|
||||||
|
class Expr(Operand):
|
||||||
|
def __pow__(self, power: Literal[0, 1, 2]) -> Expr: ...
|
||||||
25
typings/docplex/mp/constants.pyi
Normal file
25
typings/docplex/mp/constants.pyi
Normal file
@ -0,0 +1,25 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from enum import Enum
|
||||||
|
|
||||||
|
class ObjectiveSense(Enum):
|
||||||
|
Minimize = ...
|
||||||
|
Maximize = ...
|
||||||
|
|
||||||
|
class EffortLevel(Enum):
|
||||||
|
Auto = ...
|
||||||
|
CheckFeas = ...
|
||||||
|
SolveFixed = ...
|
||||||
|
SolveMIP = ...
|
||||||
|
Repair = ...
|
||||||
|
NoCheck = ...
|
||||||
|
|
||||||
|
class WriteLevel(Enum):
|
||||||
|
Auto = ...
|
||||||
|
AllVars = ...
|
||||||
|
DiscreteVars = ...
|
||||||
|
NonZeroVars = ...
|
||||||
|
NonZeroDiscreteVars = ...
|
||||||
|
|
||||||
|
def filter_zeros(self) -> bool: ...
|
||||||
|
def filter_nondiscrete(self) -> bool: ...
|
||||||
15
typings/docplex/mp/constr.pyi
Normal file
15
typings/docplex/mp/constr.pyi
Normal file
@ -0,0 +1,15 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from docplex.mp.operand import LinearOperand
|
||||||
|
|
||||||
|
class AbstractConstraint: ...
|
||||||
|
class BinaryConstraint(AbstractConstraint): ...
|
||||||
|
class LinearConstraint(BinaryConstraint, LinearOperand): ...
|
||||||
|
class RangeConstraint(AbstractConstraint): ...
|
||||||
|
class NotEqualConstraint(LinearConstraint): ...
|
||||||
|
class LogicalConstraint(AbstractConstraint): ...
|
||||||
|
class IndicatorConstraint(LogicalConstraint): ...
|
||||||
|
class EquivalenceConstraint(LogicalConstraint): ...
|
||||||
|
class IfThenConstraint(IndicatorConstraint): ...
|
||||||
|
class QuadraticConstraint(BinaryConstraint): ...
|
||||||
|
class PwlConstraint(AbstractConstraint): ...
|
||||||
3
typings/docplex/mp/context.pyi
Normal file
3
typings/docplex/mp/context.pyi
Normal file
@ -0,0 +1,3 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
class Context: ...
|
||||||
49
typings/docplex/mp/dvar.pyi
Normal file
49
typings/docplex/mp/dvar.pyi
Normal file
@ -0,0 +1,49 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from typing import Final, overload
|
||||||
|
|
||||||
|
from docplex.mp.basic import Expr
|
||||||
|
from docplex.mp.linear import LinearExpr, MonomialExpr
|
||||||
|
from docplex.mp.model import Model
|
||||||
|
from docplex.mp.operand import LinearOperand
|
||||||
|
from docplex.mp.quad import QuadExpr
|
||||||
|
from docplex.mp.vartype import VarType
|
||||||
|
|
||||||
|
class Var(LinearOperand):
|
||||||
|
lb: float
|
||||||
|
ub: float
|
||||||
|
vartype: Final[VarType]
|
||||||
|
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
model: Model,
|
||||||
|
vartype: VarType,
|
||||||
|
name: str,
|
||||||
|
lb: float | None = None,
|
||||||
|
ub: float | None = None,
|
||||||
|
) -> None: ...
|
||||||
|
def has_free_lb(self) -> bool: ...
|
||||||
|
def has_free_ub(self) -> bool: ...
|
||||||
|
def is_free(self) -> bool: ...
|
||||||
|
def set_lb(self, ub: float | None) -> None: ...
|
||||||
|
def set_ub(self, ub: float | None) -> None: ...
|
||||||
|
def is_binary(self) -> bool: ...
|
||||||
|
def is_integer(self) -> bool: ...
|
||||||
|
def is_continuous(self) -> bool: ...
|
||||||
|
def is_discrete(self) -> bool: ...
|
||||||
|
def __sub__(self, e: Var | float) -> LinearExpr: ...
|
||||||
|
def __rsub__(self, e: Var | float) -> LinearExpr: ...
|
||||||
|
def __neg__(self) -> MonomialExpr: ...
|
||||||
|
def __add__(self, other: Var | float) -> LinearExpr: ...
|
||||||
|
def __radd__(self, other: Var | float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: float) -> MonomialExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: Var) -> QuadExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: Expr) -> Expr: ...
|
||||||
|
@overload
|
||||||
|
def __rmul__(self, other: float) -> MonomialExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rmul__(self, other: Expr) -> Expr: ...
|
||||||
|
def __truediv__(self, other: float) -> MonomialExpr: ...
|
||||||
39
typings/docplex/mp/functional.pyi
Normal file
39
typings/docplex/mp/functional.pyi
Normal file
@ -0,0 +1,39 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from typing import overload
|
||||||
|
|
||||||
|
from docplex.mp.basic import Expr
|
||||||
|
from docplex.mp.dvar import Var
|
||||||
|
from docplex.mp.linear import LinearExpr
|
||||||
|
from docplex.mp.operand import LinearOperand
|
||||||
|
from docplex.mp.quad import QuadExpr
|
||||||
|
|
||||||
|
class _FunctionalExpr(Expr, LinearOperand):
|
||||||
|
def __sub__(self, e: Var | float) -> LinearExpr: ...
|
||||||
|
def __rsub__(self, e: Var | float) -> LinearExpr: ...
|
||||||
|
def __neg__(self) -> LinearExpr: ...
|
||||||
|
def __add__(self, other: Var | float) -> LinearExpr: ...
|
||||||
|
def __radd__(self, other: Var | float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: Var) -> QuadExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: Expr) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rmul__(self, other: float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rmul__(self, other: Expr) -> LinearExpr: ...
|
||||||
|
def __div__(self, other: float) -> LinearExpr: ...
|
||||||
|
def __truediv__(self, other: float) -> LinearExpr: ...
|
||||||
|
|
||||||
|
class UnaryFunctionalExpr(_FunctionalExpr): ...
|
||||||
|
class AbsExpr(UnaryFunctionalExpr): ...
|
||||||
|
class _SequenceExpr(_FunctionalExpr): ...
|
||||||
|
class MinimumExpr(_SequenceExpr): ...
|
||||||
|
class MaximumExpr(_SequenceExpr): ...
|
||||||
|
class LogicalNotExpr(UnaryFunctionalExpr): ...
|
||||||
|
class _LogicalSequenceExpr(_SequenceExpr): ...
|
||||||
|
class LogicalAndExpr(_LogicalSequenceExpr): ...
|
||||||
|
class LogicalOrExpr(_LogicalSequenceExpr): ...
|
||||||
|
class PwlExpr(UnaryFunctionalExpr): ...
|
||||||
86
typings/docplex/mp/linear.pyi
Normal file
86
typings/docplex/mp/linear.pyi
Normal file
@ -0,0 +1,86 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from typing import overload
|
||||||
|
|
||||||
|
from docplex.mp.basic import Expr
|
||||||
|
from docplex.mp.operand import LinearOperand
|
||||||
|
from docplex.mp.quad import QuadExpr
|
||||||
|
|
||||||
|
class AbstractLinearExpr(LinearOperand, Expr): ...
|
||||||
|
|
||||||
|
class MonomialExpr(AbstractLinearExpr):
|
||||||
|
def __sub__(self, e: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
def __rsub__(self, e: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
def __neg__(self) -> MonomialExpr: ...
|
||||||
|
def __add__(self, other: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
def __radd__(self, other: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: float) -> MonomialExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, other: LinearExpr) -> QuadExpr: ...
|
||||||
|
def __rmul__(self, other: float) -> MonomialExpr: ...
|
||||||
|
def __div__(self, other: float) -> MonomialExpr: ...
|
||||||
|
def __truediv__(self, e: float) -> MonomialExpr: ...
|
||||||
|
|
||||||
|
class LinearExpr(AbstractLinearExpr):
|
||||||
|
def __sub__(self, e: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
def __rsub__(self, e: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
def __neg__(self) -> LinearExpr: ...
|
||||||
|
def __add__(self, e: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
def __radd__(self, e: LinearOperand | float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, e: float) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, e: LinearOperand) -> QuadExpr: ...
|
||||||
|
def __rmul__(self, e: float) -> LinearExpr: ...
|
||||||
|
def __div__(self, e: float) -> LinearExpr: ...
|
||||||
|
def __truediv__(self, e: float) -> LinearExpr: ...
|
||||||
|
|
||||||
|
class ZeroExpr(AbstractLinearExpr):
|
||||||
|
@overload
|
||||||
|
def __sub__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __sub__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rsub__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rsub__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __add__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __add__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __radd__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __radd__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
def __neg__(self) -> ZeroExpr: ...
|
||||||
|
def __mul__(self, e: float | LinearOperand) -> ZeroExpr: ...
|
||||||
|
def __rmul__(self, e: float | LinearOperand) -> ZeroExpr: ...
|
||||||
|
def __div__(self, e: float) -> ZeroExpr: ...
|
||||||
|
def __truediv__(self, e: float) -> ZeroExpr: ...
|
||||||
|
|
||||||
|
class ConstantExpr(AbstractLinearExpr):
|
||||||
|
@overload
|
||||||
|
def __sub__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __sub__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rsub__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __rsub__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __add__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __add__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
@overload
|
||||||
|
def __radd__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __radd__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
def __neg__(self) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, e: float) -> ConstantExpr: ...
|
||||||
|
@overload
|
||||||
|
def __mul__(self, e: LinearOperand) -> LinearExpr: ...
|
||||||
|
def __rmul__(self, e: float | LinearOperand) -> ConstantExpr: ...
|
||||||
|
def __div__(self, e: float) -> ConstantExpr: ...
|
||||||
|
def __truediv__(self, e: float) -> ConstantExpr: ...
|
||||||
177
typings/docplex/mp/model.pyi
Normal file
177
typings/docplex/mp/model.pyi
Normal file
@ -0,0 +1,177 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from collections.abc import Callable, Iterable
|
||||||
|
from typing import Any, Iterator, Literal, Sequence, TextIO, TypeVar, overload
|
||||||
|
|
||||||
|
from docplex.mp.basic import Expr
|
||||||
|
from docplex.mp.constants import EffortLevel, ObjectiveSense, WriteLevel
|
||||||
|
from docplex.mp.constr import AbstractConstraint
|
||||||
|
from docplex.mp.context import Context
|
||||||
|
from docplex.mp.dvar import Var
|
||||||
|
from docplex.mp.functional import (
|
||||||
|
AbsExpr,
|
||||||
|
LogicalAndExpr,
|
||||||
|
LogicalNotExpr,
|
||||||
|
LogicalOrExpr,
|
||||||
|
MaximumExpr,
|
||||||
|
MinimumExpr,
|
||||||
|
)
|
||||||
|
from docplex.mp.linear import AbstractLinearExpr, ConstantExpr, LinearExpr, ZeroExpr
|
||||||
|
from docplex.mp.operand import LinearOperand
|
||||||
|
from docplex.mp.params.parameters import RootParameterGroup
|
||||||
|
from docplex.mp.progress import ProgressListener
|
||||||
|
from docplex.mp.solution import SolveSolution
|
||||||
|
from typing_extensions import TypeAlias
|
||||||
|
|
||||||
|
_Key = TypeVar("_Key")
|
||||||
|
_Val = TypeVar("_Val")
|
||||||
|
|
||||||
|
_MethodDictArg: TypeAlias = (
|
||||||
|
dict[_Key, _Val] | list[_Val] | Callable[[_Key], _Val] | _Val
|
||||||
|
)
|
||||||
|
_ObjectiveSense: TypeAlias = (
|
||||||
|
ObjectiveSense | Literal["min", "max", "minimize", "maximize", -1, 1]
|
||||||
|
)
|
||||||
|
|
||||||
|
class Model:
|
||||||
|
def __init__(
|
||||||
|
self, name: str | None = None, context: Context | None = None, **kwargs: Any
|
||||||
|
) -> None: ...
|
||||||
|
def binary_var(self, name: str | None = None) -> Var: ...
|
||||||
|
def binary_var_list(
|
||||||
|
self,
|
||||||
|
keys: int | Sequence[_Key],
|
||||||
|
name: _MethodDictArg[_Key, str] | None = None,
|
||||||
|
key_format: str | None = None,
|
||||||
|
) -> list[Var]: ...
|
||||||
|
def binary_var_dict(
|
||||||
|
self,
|
||||||
|
keys: Iterable[_Key],
|
||||||
|
name: _MethodDictArg[_Key, str] | None = None,
|
||||||
|
key_format: str | None = None,
|
||||||
|
) -> dict[_Key, Var]: ...
|
||||||
|
def integer_var(
|
||||||
|
self, lb: int | None = None, ub: int | None = None, name: str | None = None
|
||||||
|
) -> Var: ...
|
||||||
|
def integer_var_list(
|
||||||
|
self,
|
||||||
|
keys: int | Sequence[_Key],
|
||||||
|
lb: _MethodDictArg[_Key, int] | None = None,
|
||||||
|
ub: _MethodDictArg[_Key, int] | None = None,
|
||||||
|
name: _MethodDictArg[_Key, str] | None = None,
|
||||||
|
key_format: str | None = None,
|
||||||
|
) -> list[Var]: ...
|
||||||
|
def integer_var_dict(
|
||||||
|
self,
|
||||||
|
keys: Iterable[_Key],
|
||||||
|
lb: _MethodDictArg[_Key, int] | None = None,
|
||||||
|
ub: _MethodDictArg[_Key, int] | None = None,
|
||||||
|
name: _MethodDictArg[_Key, str] | None = None,
|
||||||
|
key_format: str | None = None,
|
||||||
|
) -> dict[_Key, Var]: ...
|
||||||
|
def continuous_var(
|
||||||
|
self, lb: float | None = None, ub: float | None = None, name: str | None = None
|
||||||
|
) -> Var: ...
|
||||||
|
def continuous_var_list(
|
||||||
|
self,
|
||||||
|
keys: int | Sequence[_Key],
|
||||||
|
lb: _MethodDictArg[_Key, float] | None = None,
|
||||||
|
ub: _MethodDictArg[_Key, float] | None = None,
|
||||||
|
name: _MethodDictArg[_Key, str] | None = None,
|
||||||
|
key_format: str | None = None,
|
||||||
|
) -> list[Var]: ...
|
||||||
|
def continuous_var_dict(
|
||||||
|
self,
|
||||||
|
keys: Iterable[_Key],
|
||||||
|
lb: _MethodDictArg[_Key, float] | None = None,
|
||||||
|
ub: _MethodDictArg[_Key, float] | None = None,
|
||||||
|
name: _MethodDictArg[_Key, str] | None = None,
|
||||||
|
key_format: str | None = None,
|
||||||
|
) -> dict[_Key, Var]: ...
|
||||||
|
def sum(self, args: Iterable[LinearOperand | float]) -> LinearExpr | ZeroExpr: ...
|
||||||
|
def sums(self, *args: LinearOperand | float) -> LinearExpr | ZeroExpr: ...
|
||||||
|
def add_constraint(
|
||||||
|
self, ct: AbstractConstraint, ctname: str | None = None
|
||||||
|
) -> AbstractConstraint: ...
|
||||||
|
def add_constraints(
|
||||||
|
self, ct: Iterable[AbstractConstraint], names: Iterable[str] | None = None
|
||||||
|
) -> list[AbstractConstraint]: ...
|
||||||
|
def remove_constraints(
|
||||||
|
self,
|
||||||
|
cts: Iterable[AbstractConstraint],
|
||||||
|
error: Literal["raise", "warn"] = "warn",
|
||||||
|
) -> list[AbstractConstraint]: ...
|
||||||
|
@overload
|
||||||
|
def add(
|
||||||
|
self, ct: AbstractConstraint, name: str | None = None
|
||||||
|
) -> AbstractConstraint: ...
|
||||||
|
@overload
|
||||||
|
def add(
|
||||||
|
self, ct: Iterable[AbstractConstraint], name: Iterable[str] | None = None
|
||||||
|
) -> list[AbstractConstraint]: ...
|
||||||
|
def solve(self, **kwargs: Any) -> SolveSolution | None: ...
|
||||||
|
def set_objective(self, sense: _ObjectiveSense, expr: Expr | Var) -> None: ...
|
||||||
|
def set_objective_sense(self, sense: _ObjectiveSense) -> None: ...
|
||||||
|
def set_objective_expr(self, expr: Expr | Var) -> None: ...
|
||||||
|
def set_lex_multi_objective(
|
||||||
|
self,
|
||||||
|
sense: _ObjectiveSense,
|
||||||
|
exprs: Iterable[Expr | Var],
|
||||||
|
abstols: float | None = None,
|
||||||
|
reltols: float | None = None,
|
||||||
|
names: Iterable[str] | None = None,
|
||||||
|
) -> None: ...
|
||||||
|
def get_objective_expr(self) -> Expr: ...
|
||||||
|
def add_mip_start(
|
||||||
|
self,
|
||||||
|
mip_start_sol: SolveSolution,
|
||||||
|
effort_level: EffortLevel | None = None,
|
||||||
|
write_level: WriteLevel | None = None,
|
||||||
|
complete_vars: bool = False,
|
||||||
|
eps_zero: float = 1e-6,
|
||||||
|
) -> SolveSolution: ...
|
||||||
|
@property
|
||||||
|
def log_output(self) -> TextIO | bool: ...
|
||||||
|
@log_output.setter
|
||||||
|
def log_output(self, out: TextIO | bool) -> None: ...
|
||||||
|
def set_log_output(self, out: TextIO) -> None: ...
|
||||||
|
@property
|
||||||
|
def parameters(self) -> RootParameterGroup: ...
|
||||||
|
def problem_type(self) -> Literal["LP", "MILP", "QP", "MIQP", "QCP", "MIQCP"]: ...
|
||||||
|
def print_information(self) -> None: ...
|
||||||
|
def logical_and(
|
||||||
|
self, *args: Var | Expr | LinearOperand
|
||||||
|
) -> Var | AbstractLinearExpr | ConstantExpr | LogicalAndExpr: ...
|
||||||
|
def logical_or(
|
||||||
|
self, *args: Var | Expr | LinearOperand
|
||||||
|
) -> Var | AbstractLinearExpr | ConstantExpr | LogicalOrExpr: ...
|
||||||
|
def logical_not(self, other: Var | Expr) -> LogicalNotExpr: ...
|
||||||
|
def abs(self, e: Var | Expr | float) -> AbsExpr: ...
|
||||||
|
def min(self, *args: Var | Expr | Sequence[Var | Expr]) -> MinimumExpr: ...
|
||||||
|
def max(self, *args: Var | Expr | Sequence[Var | Expr]) -> MaximumExpr: ...
|
||||||
|
def if_then(
|
||||||
|
self,
|
||||||
|
if_ct: AbstractConstraint,
|
||||||
|
then_ct: AbstractConstraint,
|
||||||
|
negate: bool = ...,
|
||||||
|
) -> AbstractConstraint: ...
|
||||||
|
def indicator_constraint(
|
||||||
|
self,
|
||||||
|
binary_var: Var,
|
||||||
|
linear_ct: AbstractConstraint,
|
||||||
|
active_value: Literal[0, 1] = ...,
|
||||||
|
name: str | None = ...,
|
||||||
|
) -> AbstractConstraint: ...
|
||||||
|
def add_indicator(
|
||||||
|
self,
|
||||||
|
binary_var: Var,
|
||||||
|
linear_ct: AbstractConstraint,
|
||||||
|
active_value: Literal[0, 1] = ...,
|
||||||
|
name: str | None = ...,
|
||||||
|
) -> AbstractConstraint: ...
|
||||||
|
def add_progress_listener(self, listener: ProgressListener) -> None: ...
|
||||||
|
def remove_progress_listener(self, listener: ProgressListener) -> None: ...
|
||||||
|
@property
|
||||||
|
def number_of_progress_listeners(self) -> int: ...
|
||||||
|
def iter_progress_listeners(self) -> Iterator[ProgressListener]: ...
|
||||||
|
def clear_progress_listeners(self) -> None: ...
|
||||||
12
typings/docplex/mp/operand.pyi
Normal file
12
typings/docplex/mp/operand.pyi
Normal file
@ -0,0 +1,12 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from docplex.mp.constr import BinaryConstraint, NotEqualConstraint
|
||||||
|
|
||||||
|
class Operand:
|
||||||
|
def negate(self) -> Operand: ...
|
||||||
|
def __le__(self, other: Operand | float) -> BinaryConstraint: ...
|
||||||
|
def __ge__(self, other: Operand | float) -> BinaryConstraint: ...
|
||||||
|
def __eq__(self, other: Operand | float) -> BinaryConstraint: ... # type: ignore
|
||||||
|
|
||||||
|
class LinearOperand(Operand):
|
||||||
|
def __ne__(self, other: Operand | float) -> NotEqualConstraint: ... # type: ignore
|
||||||
0
typings/docplex/mp/params/__init__.pyi
Normal file
0
typings/docplex/mp/params/__init__.pyi
Normal file
272
typings/docplex/mp/params/parameters.pyi
Normal file
272
typings/docplex/mp/params/parameters.pyi
Normal file
@ -0,0 +1,272 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
class ParameterGroup:
|
||||||
|
def __init__(
|
||||||
|
self, name: str, parent_group: ParameterGroup | None = None
|
||||||
|
) -> None: ...
|
||||||
|
|
||||||
|
class _BarrierGroup(ParameterGroup):
|
||||||
|
class _BarrierLimitsGroup(ParameterGroup):
|
||||||
|
corrections: int = ...
|
||||||
|
growth: float = ...
|
||||||
|
iteration: int = ...
|
||||||
|
objrange: float = ...
|
||||||
|
|
||||||
|
algorithm: int = ...
|
||||||
|
colnonzeros: int = ...
|
||||||
|
convergetol: float = ...
|
||||||
|
crossover: int = ...
|
||||||
|
display: int = ...
|
||||||
|
ordering: int = ...
|
||||||
|
qcpconvergetol: float = ...
|
||||||
|
startalg: int = ...
|
||||||
|
|
||||||
|
limits: _BarrierLimitsGroup = ...
|
||||||
|
|
||||||
|
class _BendersGroup(ParameterGroup):
|
||||||
|
class _BendersTolerancesGroup(ParameterGroup):
|
||||||
|
feasibilitycut: float = ...
|
||||||
|
optimalitycut: float = ...
|
||||||
|
|
||||||
|
strategy: int = ...
|
||||||
|
workeralgorithm: int = ...
|
||||||
|
|
||||||
|
tolerances: _BendersTolerancesGroup = ...
|
||||||
|
|
||||||
|
class _ConflictGroup(ParameterGroup):
|
||||||
|
algorithm: int = ...
|
||||||
|
display: int = ...
|
||||||
|
|
||||||
|
class _EmphasisGroup(ParameterGroup):
|
||||||
|
memory: bool = ...
|
||||||
|
mip: int = ...
|
||||||
|
numerical: bool = ...
|
||||||
|
|
||||||
|
class _FeasoptGroup(ParameterGroup):
|
||||||
|
mode: int = ...
|
||||||
|
tolerance: float = ...
|
||||||
|
|
||||||
|
class _MipGroup(ParameterGroup):
|
||||||
|
class _MipCutsGroup(ParameterGroup):
|
||||||
|
bqp: int = ...
|
||||||
|
cliques: int = ...
|
||||||
|
covers: int = ...
|
||||||
|
disjunctive: int = ...
|
||||||
|
flowcovers: int = ...
|
||||||
|
gomory: int = ...
|
||||||
|
gubcovers: int = ...
|
||||||
|
implied: int = ...
|
||||||
|
liftproj: int = ...
|
||||||
|
localimplied: int = ...
|
||||||
|
mcfcut: int = ...
|
||||||
|
mircut: int = ...
|
||||||
|
nodecuts: int = ...
|
||||||
|
pathcut: int = ...
|
||||||
|
rlt: int = ...
|
||||||
|
zerohalfcut: int = ...
|
||||||
|
|
||||||
|
class _MipLimitsGroup(ParameterGroup):
|
||||||
|
aggforcut: int = ...
|
||||||
|
auxrootthreads: int = ...
|
||||||
|
lowerobjstop: float = ...
|
||||||
|
cutpasses: int = ...
|
||||||
|
cutsfactor: float = ...
|
||||||
|
eachcutlimit: int = ...
|
||||||
|
gomorycand: int = ...
|
||||||
|
gomorypass: int = ...
|
||||||
|
nodes: int = ...
|
||||||
|
populate: int = ...
|
||||||
|
probedettime: float = ...
|
||||||
|
probetime: float = ...
|
||||||
|
repairtries: int = ...
|
||||||
|
solutions: int = ...
|
||||||
|
strongcand: int = ...
|
||||||
|
strongit: int = ...
|
||||||
|
treememory: float = ...
|
||||||
|
upperobjstop: float = ...
|
||||||
|
|
||||||
|
class _MipPolishafterGroup(ParameterGroup):
|
||||||
|
absmipgap: float = ...
|
||||||
|
dettime: float = ...
|
||||||
|
mipgap: float = ...
|
||||||
|
nodes: int = ...
|
||||||
|
solutions: int = ...
|
||||||
|
time: float = ...
|
||||||
|
|
||||||
|
class _MipPoolGroup(ParameterGroup):
|
||||||
|
absgap: float = ...
|
||||||
|
capacity: int = ...
|
||||||
|
intensity: int = ...
|
||||||
|
relgap: float = ...
|
||||||
|
replace: int = ...
|
||||||
|
|
||||||
|
class _MipstrategyGroup(ParameterGroup):
|
||||||
|
backtrack: float = ...
|
||||||
|
bbinterval: int = ...
|
||||||
|
branch: int = ...
|
||||||
|
dive: int = ...
|
||||||
|
file: int = ...
|
||||||
|
fpheur: int = ...
|
||||||
|
heuristiceffort: float = ...
|
||||||
|
heuristicfreq: int = ...
|
||||||
|
kappastats: int = ...
|
||||||
|
lbheur: bool = ...
|
||||||
|
miqcpstrat: int = ...
|
||||||
|
nodeselect: int = ...
|
||||||
|
order: bool = ...
|
||||||
|
presolvenode: int = ...
|
||||||
|
probe: int = ...
|
||||||
|
rinsheur: int = ...
|
||||||
|
search: int = ...
|
||||||
|
startalgorithm: int = ...
|
||||||
|
subalgorithm: int = ...
|
||||||
|
variableselect: int = ...
|
||||||
|
|
||||||
|
class _MipSubmipGroup(ParameterGroup):
|
||||||
|
startalg: int = ...
|
||||||
|
subalg: int = ...
|
||||||
|
nodelimit: int = ...
|
||||||
|
scale: int = ...
|
||||||
|
|
||||||
|
class _MipTolerancesGroup(ParameterGroup):
|
||||||
|
absmipgap: float = ...
|
||||||
|
linearization: float = ...
|
||||||
|
integrality: float = ...
|
||||||
|
lowercutoff: float = ...
|
||||||
|
mipgap: float = ...
|
||||||
|
objdifference: float = ...
|
||||||
|
relobjdifference: float = ...
|
||||||
|
uppercutoff: float = ...
|
||||||
|
|
||||||
|
display: int = ...
|
||||||
|
interval: int = ...
|
||||||
|
ordertype: int = ...
|
||||||
|
|
||||||
|
cuts: _MipCutsGroup = ...
|
||||||
|
limits: _MipLimitsGroup = ...
|
||||||
|
polishafter: _MipPolishafterGroup = ...
|
||||||
|
pool: _MipPoolGroup = ...
|
||||||
|
strategy: _MipstrategyGroup = ...
|
||||||
|
submip: _MipSubmipGroup = ...
|
||||||
|
tolerances: _MipTolerancesGroup = ...
|
||||||
|
|
||||||
|
class _MultiobjectiveGroup(ParameterGroup):
|
||||||
|
display: int = ...
|
||||||
|
|
||||||
|
class _NetworkGroup(ParameterGroup):
|
||||||
|
class _NetworkTolerancesGroup(ParameterGroup):
|
||||||
|
feasibility: float = ...
|
||||||
|
optimality: float = ...
|
||||||
|
|
||||||
|
display: int = ...
|
||||||
|
iterations: int = ...
|
||||||
|
netfind: int = ...
|
||||||
|
pricing: int = ...
|
||||||
|
|
||||||
|
tolerances: _NetworkTolerancesGroup = ...
|
||||||
|
|
||||||
|
class _OutputGroup(ParameterGroup):
|
||||||
|
intsolfileprefix: str = ...
|
||||||
|
mpslong: bool = ...
|
||||||
|
writelevel: int = ...
|
||||||
|
|
||||||
|
class _PreprocessingGroup(ParameterGroup):
|
||||||
|
aggregator: int = ...
|
||||||
|
boundstrength: int = ...
|
||||||
|
coeffreduce: int = ...
|
||||||
|
dependency: int = ...
|
||||||
|
dual: int = ...
|
||||||
|
fill: int = ...
|
||||||
|
folding: int = ...
|
||||||
|
numpass: int = ...
|
||||||
|
presolve: bool = ...
|
||||||
|
qcpduals: int = ...
|
||||||
|
qpmakepsd: bool = ...
|
||||||
|
qtolin: int = ...
|
||||||
|
reduce: int = ...
|
||||||
|
reformulations: int = ...
|
||||||
|
relax: int = ...
|
||||||
|
repeatpresolve: int = ...
|
||||||
|
sos1reform: int = ...
|
||||||
|
sos2reform: int = ...
|
||||||
|
symmetry: int = ...
|
||||||
|
|
||||||
|
class _ReadGroup(ParameterGroup):
|
||||||
|
datacheck: int = ...
|
||||||
|
fileencoding: str = ...
|
||||||
|
scale: int = ...
|
||||||
|
warninglimit: int = ...
|
||||||
|
|
||||||
|
class _SiftingGroup(ParameterGroup):
|
||||||
|
algorithm: int = ...
|
||||||
|
simplex: bool = ...
|
||||||
|
display: int = ...
|
||||||
|
iterations: int = ...
|
||||||
|
|
||||||
|
class _SimplexGroup(ParameterGroup):
|
||||||
|
class _SimplexLimitsGroup(ParameterGroup):
|
||||||
|
iterations: int = ...
|
||||||
|
lowerobj: float = ...
|
||||||
|
perturbation: int = ...
|
||||||
|
singularity: int = ...
|
||||||
|
upperobj: float = ...
|
||||||
|
|
||||||
|
class _SimplexPerturbationGroup(ParameterGroup):
|
||||||
|
constant: float = ...
|
||||||
|
indicator: bool = ...
|
||||||
|
|
||||||
|
class _SimplexTolerancesGroup(ParameterGroup):
|
||||||
|
feasibility: float = ...
|
||||||
|
markowitz: float = ...
|
||||||
|
optimality: float = ...
|
||||||
|
|
||||||
|
crash: int = ...
|
||||||
|
dgradient: int = ...
|
||||||
|
display: int = ...
|
||||||
|
dynamicrows: int = ...
|
||||||
|
pgradient: int = ...
|
||||||
|
pricing: int = ...
|
||||||
|
refactor: int = ...
|
||||||
|
|
||||||
|
limits: _SimplexLimitsGroup = ...
|
||||||
|
perturbation: _SimplexPerturbationGroup = ...
|
||||||
|
tolerances: _SimplexTolerancesGroup = ...
|
||||||
|
|
||||||
|
class _TuneGroup(ParameterGroup):
|
||||||
|
dettimelimit: float = ...
|
||||||
|
display: int = ...
|
||||||
|
measure: int = ...
|
||||||
|
repeat: int = ...
|
||||||
|
timelimit: float = ...
|
||||||
|
|
||||||
|
class RootParameterGroup(ParameterGroup):
|
||||||
|
advance: int = ...
|
||||||
|
clocktype: int = ...
|
||||||
|
dettimelimit: float = ...
|
||||||
|
lpmethod: int = ...
|
||||||
|
optimalitytarget: int = ...
|
||||||
|
parallel: int = ...
|
||||||
|
paramdisplay: bool = ...
|
||||||
|
qpmethod: int = ...
|
||||||
|
randomseed: int = ...
|
||||||
|
record: bool = ...
|
||||||
|
solutiontype: int = ...
|
||||||
|
threads: int = ...
|
||||||
|
timelimit: float = ...
|
||||||
|
workdir: str = ...
|
||||||
|
workmem: float = ...
|
||||||
|
|
||||||
|
barrier: _BarrierGroup = ...
|
||||||
|
benders: _BendersGroup = ...
|
||||||
|
conflict: _ConflictGroup = ...
|
||||||
|
emphasis: _EmphasisGroup = ...
|
||||||
|
feasopt: _FeasoptGroup = ...
|
||||||
|
mip: _MipGroup = ...
|
||||||
|
multiobjective: _MultiobjectiveGroup = ...
|
||||||
|
network: _NetworkGroup = ...
|
||||||
|
output: _OutputGroup = ...
|
||||||
|
preprocessing: _PreprocessingGroup = ...
|
||||||
|
read: _ReadGroup = ...
|
||||||
|
sifting: _SiftingGroup = ...
|
||||||
|
simplex: _SimplexGroup = ...
|
||||||
|
tune: _TuneGroup = ...
|
||||||
192
typings/docplex/mp/progress.pyi
Normal file
192
typings/docplex/mp/progress.pyi
Normal file
@ -0,0 +1,192 @@
|
|||||||
|
from collections.abc import Mapping, Sequence
|
||||||
|
from enum import Enum
|
||||||
|
from typing import Callable, Iterator, Literal, NamedTuple, Protocol
|
||||||
|
|
||||||
|
from docplex.mp.model import Model
|
||||||
|
from docplex.mp.solution import SolveSolution
|
||||||
|
|
||||||
|
class ProgressData(NamedTuple):
|
||||||
|
has_incumbent: bool
|
||||||
|
current_objective: float | None
|
||||||
|
best_bound: float
|
||||||
|
mip_gap: float | None
|
||||||
|
current_nb_iterations: int
|
||||||
|
current_nb_nodes: int
|
||||||
|
remaining_nb_nodes: int
|
||||||
|
time: float
|
||||||
|
det_time: float
|
||||||
|
|
||||||
|
class ProgressClock(Enum):
|
||||||
|
All = ...
|
||||||
|
Solutions = ...
|
||||||
|
BestBound = ...
|
||||||
|
Objective = ...
|
||||||
|
Gap = ...
|
||||||
|
|
||||||
|
@property
|
||||||
|
def listens_to_solution(self) -> bool: ...
|
||||||
|
|
||||||
|
class _Filter(Protocol):
|
||||||
|
def accept(self, data: ProgressData) -> bool: ...
|
||||||
|
def reset(self) -> None: ...
|
||||||
|
|
||||||
|
class _AbstractProgressListener:
|
||||||
|
def abort(self) -> None: ...
|
||||||
|
def notify_start(self) -> None: ...
|
||||||
|
|
||||||
|
class ProgressListener(_AbstractProgressListener):
|
||||||
|
"""The base class for progress listeners."""
|
||||||
|
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
clock_ar: ProgressClock = ...,
|
||||||
|
absdiff: float | None = None,
|
||||||
|
reldiff: float | None = None,
|
||||||
|
) -> None: ...
|
||||||
|
@property
|
||||||
|
def clock(self) -> ProgressClock: ...
|
||||||
|
@property
|
||||||
|
def abs_diff(self) -> float: ...
|
||||||
|
@property
|
||||||
|
def relative_diff(self) -> float: ...
|
||||||
|
@property
|
||||||
|
def current_progress_data(self) -> ProgressData | None: ...
|
||||||
|
def accept(self, pdata: ProgressData) -> bool: ...
|
||||||
|
def requires_solution(self) -> bool: ...
|
||||||
|
def notify_solution(self, s: SolveSolution) -> None: ...
|
||||||
|
def notify_jobid(self, jobid: int) -> None: ...
|
||||||
|
def notify_end(self, status: int, objective: float | None) -> None: ...
|
||||||
|
def notify_progress(self, progress_data: ProgressData) -> None: ...
|
||||||
|
|
||||||
|
class FilterAcceptAll:
|
||||||
|
def accept(self, pdata: ProgressData) -> bool: ...
|
||||||
|
def reset(self) -> None: ...
|
||||||
|
|
||||||
|
class FilterAcceptAllSolutions(object):
|
||||||
|
def accept(self, pdata: ProgressData) -> bool: ...
|
||||||
|
def reset(self) -> None: ...
|
||||||
|
|
||||||
|
class Watcher:
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
name: str,
|
||||||
|
absdiff: float,
|
||||||
|
reldiff: float,
|
||||||
|
update_fn: Callable[[ProgressData], bool],
|
||||||
|
) -> None: ...
|
||||||
|
def reset(self) -> None: ...
|
||||||
|
def accept(self, progress_data: ProgressData) -> bool: ...
|
||||||
|
def sync(self, pdata: ProgressData) -> None: ...
|
||||||
|
|
||||||
|
class ClockFilter:
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
level: ProgressClock,
|
||||||
|
obj_absdiff: float,
|
||||||
|
bbound_absdiff: float,
|
||||||
|
obj_reldiff: float = ...,
|
||||||
|
bbound_reldiff: float = ...,
|
||||||
|
node_delta: int = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def accept(self, progress_data: ProgressData) -> bool: ...
|
||||||
|
def peek(self, progress_data: ProgressData) -> Watcher | None: ...
|
||||||
|
def reset(self) -> None: ...
|
||||||
|
|
||||||
|
class TextProgressListener(ProgressListener):
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
clock: ProgressClock = ...,
|
||||||
|
gap_fmt: str | None = ...,
|
||||||
|
obj_fmt: str | None = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def notify_start(self) -> None: ...
|
||||||
|
def notify_progress(self, progress_data: ProgressData) -> None: ...
|
||||||
|
|
||||||
|
class ProgressDataRecorder(ProgressListener):
|
||||||
|
"""A specialized class of ProgressListener, which collects all ProgressData it receives."""
|
||||||
|
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
clock: ProgressClock = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def notify_start(self) -> None: ...
|
||||||
|
def notify_progress(self, progress_data: ProgressData) -> None: ...
|
||||||
|
@property
|
||||||
|
def number_of_records(self) -> int: ...
|
||||||
|
@property
|
||||||
|
def iter_recorded(self) -> Iterator[ProgressData]: ...
|
||||||
|
@property
|
||||||
|
def recorded(self) -> Sequence[ProgressData]: ...
|
||||||
|
|
||||||
|
class SolutionListener(ProgressListener):
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
clock: Literal[
|
||||||
|
ProgressClock.Solutions, ProgressClock.Objective, ProgressClock.Gap
|
||||||
|
] = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def requires_solution(self) -> bool: ...
|
||||||
|
def notify_solution(self, s: SolveSolution) -> None: ...
|
||||||
|
def notify_start(self) -> None: ...
|
||||||
|
def accept(self, pdata: ProgressData) -> bool: ...
|
||||||
|
|
||||||
|
class SolutionRecorder(SolutionListener):
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
clock: Literal[
|
||||||
|
ProgressClock.Solutions, ProgressClock.Objective, ProgressClock.Gap
|
||||||
|
] = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def notify_start(self) -> None: ...
|
||||||
|
def notify_solution(self, s: SolveSolution) -> None: ...
|
||||||
|
def iter_solutions(self) -> Iterator[SolveSolution]: ...
|
||||||
|
@property
|
||||||
|
def number_of_solutions(self) -> int: ...
|
||||||
|
@property
|
||||||
|
def current_solution(self) -> SolveSolution | None: ...
|
||||||
|
|
||||||
|
class FunctionalSolutionListener(SolutionListener):
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
solution_fn: Callable[[SolveSolution], None],
|
||||||
|
clock: Literal[
|
||||||
|
ProgressClock.Solutions, ProgressClock.Objective, ProgressClock.Gap
|
||||||
|
] = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def notify_solution(self, s: SolveSolution) -> None: ...
|
||||||
|
|
||||||
|
class KpiListener(SolutionListener):
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
model: Model,
|
||||||
|
clock: Literal[
|
||||||
|
ProgressClock.Solutions, ProgressClock.Objective, ProgressClock.Gap
|
||||||
|
] = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def publish(self, kpi_dict: Mapping[str, float | str]) -> None: ...
|
||||||
|
def notify_solution(self, s: SolveSolution) -> None: ...
|
||||||
|
|
||||||
|
class KpiPrinter(KpiListener):
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
model: Model,
|
||||||
|
clock: Literal[
|
||||||
|
ProgressClock.Solutions, ProgressClock.Objective, ProgressClock.Gap
|
||||||
|
] = ...,
|
||||||
|
absdiff: float | None = ...,
|
||||||
|
reldiff: float | None = ...,
|
||||||
|
kpi_format: str = ...,
|
||||||
|
) -> None: ...
|
||||||
|
def publish(self, kpi_dict: Mapping[str, float | str]) -> None: ...
|
||||||
5
typings/docplex/mp/quad.pyi
Normal file
5
typings/docplex/mp/quad.pyi
Normal file
@ -0,0 +1,5 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from docplex.mp.basic import Expr
|
||||||
|
|
||||||
|
class QuadExpr(Expr): ...
|
||||||
29
typings/docplex/mp/sdetails.pyi
Normal file
29
typings/docplex/mp/sdetails.pyi
Normal file
@ -0,0 +1,29 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
class SolveDetails:
|
||||||
|
@property
|
||||||
|
def time(self) -> float: ...
|
||||||
|
@property
|
||||||
|
def status_code(self) -> int: ...
|
||||||
|
@property
|
||||||
|
def status(self) -> str: ...
|
||||||
|
@property
|
||||||
|
def problem_type(self) -> str: ...
|
||||||
|
@property
|
||||||
|
def columns(self) -> int: ...
|
||||||
|
@property
|
||||||
|
def nb_linear_nonzeros(self) -> int: ...
|
||||||
|
@property
|
||||||
|
def mip_relative_gap(self) -> float: ...
|
||||||
|
|
||||||
|
gap = mip_relative_gap
|
||||||
|
|
||||||
|
@property
|
||||||
|
def best_bound(self) -> float: ...
|
||||||
|
@property
|
||||||
|
def nb_iterations(self) -> int | tuple[int, ...]: ...
|
||||||
|
@property
|
||||||
|
def nb_nodes_processed(self) -> int | tuple[int, ...]: ...
|
||||||
|
def print_information(self) -> None: ...
|
||||||
|
def to_string(self) -> str: ...
|
||||||
|
def has_hit_limit(self) -> bool: ...
|
||||||
49
typings/docplex/mp/solution.pyi
Normal file
49
typings/docplex/mp/solution.pyi
Normal file
@ -0,0 +1,49 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
from collections.abc import Iterable, Mapping
|
||||||
|
from typing import Literal, Sequence, TypeVar
|
||||||
|
|
||||||
|
from docplex.mp.constants import WriteLevel
|
||||||
|
from docplex.mp.dvar import Var
|
||||||
|
from docplex.mp.model import Model
|
||||||
|
from docplex.mp.sdetails import SolveDetails
|
||||||
|
from typing_extensions import TypeAlias
|
||||||
|
|
||||||
|
_Key = TypeVar("_Key")
|
||||||
|
_SolvedBy: TypeAlias = Literal["cplex_local", "cplex_cloud"] | None
|
||||||
|
|
||||||
|
class SolveSolution:
|
||||||
|
def __init__(
|
||||||
|
self,
|
||||||
|
model: Model,
|
||||||
|
var_value_map: Mapping[Var, float] | None = None,
|
||||||
|
obj: Sequence[float] | float | None = None,
|
||||||
|
blended_obj_by_priority: Sequence[float] | None = None,
|
||||||
|
name: str | None = None,
|
||||||
|
solved_by: _SolvedBy = None,
|
||||||
|
keep_zeros: bool = True,
|
||||||
|
) -> None: ...
|
||||||
|
@property
|
||||||
|
def problem_name(self) -> str: ...
|
||||||
|
@property
|
||||||
|
def solved_by(self) -> _SolvedBy: ...
|
||||||
|
@property
|
||||||
|
def name(self) -> str: ...
|
||||||
|
@property
|
||||||
|
def solve_details(self) -> SolveDetails: ...
|
||||||
|
def get_objective_value(self) -> float | list[float]: ...
|
||||||
|
def get_value(self, arg: Var) -> float: ...
|
||||||
|
def get_values(self, var_seq: Iterable[Var]) -> list[float]: ...
|
||||||
|
def get_value_list(self, dvars: Iterable[Var]) -> list[float]: ...
|
||||||
|
def get_value_dict(
|
||||||
|
self,
|
||||||
|
var_dict: Mapping[_Key, Var],
|
||||||
|
keep_zeros: bool = True,
|
||||||
|
precision: float = 1e-6,
|
||||||
|
) -> dict[_Key, float]: ...
|
||||||
|
def as_mip_start(
|
||||||
|
self,
|
||||||
|
write_level: WriteLevel = ...,
|
||||||
|
complete_vars: bool = False,
|
||||||
|
eps_zero: float = 1e-6,
|
||||||
|
) -> SolveSolution: ...
|
||||||
11
typings/docplex/mp/vartype.pyi
Normal file
11
typings/docplex/mp/vartype.pyi
Normal file
@ -0,0 +1,11 @@
|
|||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
class VarType:
|
||||||
|
def is_semi_type(self) -> bool: ...
|
||||||
|
def is_discrete(self) -> bool: ...
|
||||||
|
|
||||||
|
class BinaryVarType(VarType): ...
|
||||||
|
class ContinuousVarType(VarType): ...
|
||||||
|
class IntegerVarType(VarType): ...
|
||||||
|
class SemiContinuousVarType(VarType): ...
|
||||||
|
class SemiDiscreteVarType(VarType): ...
|
||||||
Loading…
Reference in New Issue
Block a user