mirror of
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Compare commits
No commits in common. "main" and "v0.12.0" have entirely different histories.
2
.github/workflows/release.yml
vendored
2
.github/workflows/release.yml
vendored
@ -15,7 +15,7 @@ jobs:
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|||||||
matrix:
|
matrix:
|
||||||
os: [ubuntu-20.04, windows-latest]
|
os: [ubuntu-20.04, windows-latest]
|
||||||
spec: [statapp-onefile, statapp]
|
spec: [statapp-onefile, statapp]
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||||||
arch: [x64] # [x86, x64]
|
arch: [x86, x64]
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||||||
include:
|
include:
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||||||
- os: ubuntu-20.04
|
- os: ubuntu-20.04
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||||||
target: linux
|
target: linux
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||||||
|
|||||||
2
.gitignore
vendored
2
.gitignore
vendored
@ -161,7 +161,7 @@ cython_debug/
|
|||||||
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
|
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
|
||||||
# and can be added to the global gitignore or merged into this file. For a more nuclear
|
# and can be added to the global gitignore or merged into this file. For a more nuclear
|
||||||
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
|
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
|
||||||
.idea/
|
#.idea/
|
||||||
|
|
||||||
### Python Patch ###
|
### Python Patch ###
|
||||||
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
|
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
|
||||||
|
|||||||
3
.idea/.gitignore
vendored
Normal file
3
.idea/.gitignore
vendored
Normal file
@ -0,0 +1,3 @@
|
|||||||
|
# Default ignored files
|
||||||
|
/shelf/
|
||||||
|
/workspace.xml
|
||||||
14
.idea/inspectionProfiles/Project_Default.xml
Normal file
14
.idea/inspectionProfiles/Project_Default.xml
Normal file
@ -0,0 +1,14 @@
|
|||||||
|
<component name="InspectionProjectProfileManager">
|
||||||
|
<profile version="1.0">
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||||||
|
<option name="myName" value="Project Default" />
|
||||||
|
<inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
|
||||||
|
<option name="ignoredErrors">
|
||||||
|
<list>
|
||||||
|
<option value="N802" />
|
||||||
|
<option value="N803" />
|
||||||
|
<option value="N806" />
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||||||
|
</list>
|
||||||
|
</option>
|
||||||
|
</inspection_tool>
|
||||||
|
</profile>
|
||||||
|
</component>
|
||||||
6
.idea/inspectionProfiles/profiles_settings.xml
Normal file
6
.idea/inspectionProfiles/profiles_settings.xml
Normal file
@ -0,0 +1,6 @@
|
|||||||
|
<component name="InspectionProjectProfileManager">
|
||||||
|
<settings>
|
||||||
|
<option name="USE_PROJECT_PROFILE" value="false" />
|
||||||
|
<version value="1.0" />
|
||||||
|
</settings>
|
||||||
|
</component>
|
||||||
7
.idea/misc.xml
Normal file
7
.idea/misc.xml
Normal file
@ -0,0 +1,7 @@
|
|||||||
|
<?xml version="1.0" encoding="UTF-8"?>
|
||||||
|
<project version="4">
|
||||||
|
<component name="Black">
|
||||||
|
<option name="sdkName" value="Poetry (statapp)" />
|
||||||
|
</component>
|
||||||
|
<component name="ProjectRootManager" version="2" project-jdk-name="Poetry (statapp) (2)" project-jdk-type="Python SDK" />
|
||||||
|
</project>
|
||||||
8
.idea/modules.xml
Normal file
8
.idea/modules.xml
Normal file
@ -0,0 +1,8 @@
|
|||||||
|
<?xml version="1.0" encoding="UTF-8"?>
|
||||||
|
<project version="4">
|
||||||
|
<component name="ProjectModuleManager">
|
||||||
|
<modules>
|
||||||
|
<module fileurl="file://$PROJECT_DIR$/.idea/stat.iml" filepath="$PROJECT_DIR$/.idea/stat.iml" />
|
||||||
|
</modules>
|
||||||
|
</component>
|
||||||
|
</project>
|
||||||
24
.idea/runConfigurations/statapp.xml
Normal file
24
.idea/runConfigurations/statapp.xml
Normal file
@ -0,0 +1,24 @@
|
|||||||
|
<component name="ProjectRunConfigurationManager">
|
||||||
|
<configuration default="false" name="statapp" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
|
||||||
|
<module name="stat" />
|
||||||
|
<option name="ENV_FILES" value="" />
|
||||||
|
<option name="INTERPRETER_OPTIONS" value="" />
|
||||||
|
<option name="PARENT_ENVS" value="true" />
|
||||||
|
<envs>
|
||||||
|
<env name="PYTHONUNBUFFERED" value="1" />
|
||||||
|
</envs>
|
||||||
|
<option name="SDK_HOME" value="" />
|
||||||
|
<option name="WORKING_DIRECTORY" value="" />
|
||||||
|
<option name="IS_MODULE_SDK" value="true" />
|
||||||
|
<option name="ADD_CONTENT_ROOTS" value="true" />
|
||||||
|
<option name="ADD_SOURCE_ROOTS" value="true" />
|
||||||
|
<option name="SCRIPT_NAME" value="statapp" />
|
||||||
|
<option name="PARAMETERS" value="" />
|
||||||
|
<option name="SHOW_COMMAND_LINE" value="false" />
|
||||||
|
<option name="EMULATE_TERMINAL" value="false" />
|
||||||
|
<option name="MODULE_MODE" value="true" />
|
||||||
|
<option name="REDIRECT_INPUT" value="false" />
|
||||||
|
<option name="INPUT_FILE" value="" />
|
||||||
|
<method v="2" />
|
||||||
|
</configuration>
|
||||||
|
</component>
|
||||||
8
.idea/stat.iml
Normal file
8
.idea/stat.iml
Normal file
@ -0,0 +1,8 @@
|
|||||||
|
<?xml version="1.0" encoding="UTF-8"?>
|
||||||
|
<module type="PYTHON_MODULE" version="4">
|
||||||
|
<component name="NewModuleRootManager">
|
||||||
|
<content url="file://$MODULE_DIR$" />
|
||||||
|
<orderEntry type="inheritedJdk" />
|
||||||
|
<orderEntry type="sourceFolder" forTests="false" />
|
||||||
|
</component>
|
||||||
|
</module>
|
||||||
6
.idea/vcs.xml
Normal file
6
.idea/vcs.xml
Normal file
@ -0,0 +1,6 @@
|
|||||||
|
<?xml version="1.0" encoding="UTF-8"?>
|
||||||
|
<project version="4">
|
||||||
|
<component name="VcsDirectoryMappings">
|
||||||
|
<mapping directory="" vcs="Git" />
|
||||||
|
</component>
|
||||||
|
</project>
|
||||||
@ -23,7 +23,6 @@ disable=
|
|||||||
fixme,
|
fixme,
|
||||||
missing-docstring,
|
missing-docstring,
|
||||||
too-many-public-methods,
|
too-many-public-methods,
|
||||||
too-many-locals,
|
|
||||||
too-few-public-methods,
|
too-few-public-methods,
|
||||||
too-many-arguments,
|
too-many-arguments,
|
||||||
broad-except
|
broad-except
|
||||||
|
|||||||
49
CHANGELOG.md
49
CHANGELOG.md
@ -1,54 +1,5 @@
|
|||||||
# Changelog
|
# Changelog
|
||||||
|
|
||||||
## [0.13.0](https://github.com/shizand/statapp/compare/v0.12.5...v0.13.0) (2024-02-29)
|
|
||||||
|
|
||||||
|
|
||||||
### Новые функции
|
|
||||||
|
|
||||||
* добавлены весовые коэффициенты ([#126](https://github.com/shizand/statapp/issues/126)) ([1900785](https://github.com/shizand/statapp/commit/1900785502d9066b31ed5311fab334f21eb9454e))
|
|
||||||
|
|
||||||
|
|
||||||
### Исправления
|
|
||||||
|
|
||||||
* исправлена "Остаточная дисперсия (масштабированная)" ([#124](https://github.com/shizand/statapp/issues/124)) ([babfd48](https://github.com/shizand/statapp/commit/babfd48ee15504342b01d9a1a98fcc1aafc890dc))
|
|
||||||
|
|
||||||
## [0.12.5](https://github.com/shizand/statapp/compare/v0.12.4...v0.12.5) (2024-02-22)
|
|
||||||
|
|
||||||
|
|
||||||
### Исправления
|
|
||||||
|
|
||||||
* заменён алгоритм моделирования полиномов и исправлен прогноз ([#122](https://github.com/shizand/statapp/issues/122)) ([f17644d](https://github.com/shizand/statapp/commit/f17644dd15bd8999196c994c1634fe27d621fabc))
|
|
||||||
|
|
||||||
## [0.12.4](https://github.com/shizand/statapp/compare/v0.12.3...v0.12.4) (2024-02-15)
|
|
||||||
|
|
||||||
|
|
||||||
### Исправления
|
|
||||||
|
|
||||||
* исправлен вывод коэффициента множественной детерминации в "Преобразования" ([da68523](https://github.com/shizand/statapp/commit/da685239136c7047ecaa5f63b7d52d25930ce895))
|
|
||||||
|
|
||||||
## [0.12.3](https://github.com/shizand/statapp/compare/v0.12.2...v0.12.3) (2024-02-14)
|
|
||||||
|
|
||||||
|
|
||||||
### Исправления
|
|
||||||
|
|
||||||
* добавлен более подробный вывод ошибок в консоль ([780d5b3](https://github.com/shizand/statapp/commit/780d5b30fdc271f670c09369c1a0a692f89e7fc2))
|
|
||||||
* исправлен вывод коэффициента множественной детерминации ([260cc99](https://github.com/shizand/statapp/commit/260cc99afa3e5bc0aaf0fbad8870eebd909e558c))
|
|
||||||
|
|
||||||
## [0.12.2](https://github.com/shizand/statapp/compare/v0.12.1...v0.12.2) (2024-02-12)
|
|
||||||
|
|
||||||
|
|
||||||
### Исправления
|
|
||||||
|
|
||||||
* Добавлены краткие теоретические сведения README ([34bcee2](https://github.com/shizand/statapp/commit/34bcee2acf3a7cee806d2da49ca0e546df8d1e3f))
|
|
||||||
|
|
||||||
## [0.12.1](https://github.com/shizand/statapp/compare/v0.12.0...v0.12.1) (2024-02-11)
|
|
||||||
|
|
||||||
|
|
||||||
### Исправления
|
|
||||||
|
|
||||||
* добавлено отключение "Распределения" при отсутствии отклика ([8ca535c](https://github.com/shizand/statapp/commit/8ca535cc8fb3c97d049afaef30ade033781a6e8e))
|
|
||||||
* исправлены ссылки на некоторую дополнительную литературу ([c23e1f8](https://github.com/shizand/statapp/commit/c23e1f81a9243d81a3e8f00f9f2b2ede941f5691))
|
|
||||||
|
|
||||||
## [0.12.0](https://github.com/shizand/statapp/compare/v0.11.0...v0.12.0) (2024-02-11)
|
## [0.12.0](https://github.com/shizand/statapp/compare/v0.11.0...v0.12.0) (2024-02-11)
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
705
poetry.lock
generated
705
poetry.lock
generated
@ -1,4 +1,4 @@
|
|||||||
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
|
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "altgraph"
|
name = "altgraph"
|
||||||
@ -137,120 +137,119 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "dill"
|
name = "dill"
|
||||||
version = "0.3.8"
|
version = "0.3.7"
|
||||||
description = "serialize all of Python"
|
description = "serialize all of Python"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
|
{file = "dill-0.3.7-py3-none-any.whl", hash = "sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e"},
|
||||||
{file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
|
{file = "dill-0.3.7.tar.gz", hash = "sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
graph = ["objgraph (>=1.7.2)"]
|
graph = ["objgraph (>=1.7.2)"]
|
||||||
profile = ["gprof2dot (>=2022.7.29)"]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "distlib"
|
name = "distlib"
|
||||||
version = "0.3.8"
|
version = "0.3.7"
|
||||||
description = "Distribution utilities"
|
description = "Distribution utilities"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = "*"
|
python-versions = "*"
|
||||||
files = [
|
files = [
|
||||||
{file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
|
{file = "distlib-0.3.7-py2.py3-none-any.whl", hash = "sha256:2e24928bc811348f0feb63014e97aaae3037f2cf48712d51ae61df7fd6075057"},
|
||||||
{file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
|
{file = "distlib-0.3.7.tar.gz", hash = "sha256:9dafe54b34a028eafd95039d5e5d4851a13734540f1331060d31c9916e7147a8"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "filelock"
|
name = "filelock"
|
||||||
version = "3.13.1"
|
version = "3.12.4"
|
||||||
description = "A platform independent file lock."
|
description = "A platform independent file lock."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
|
{file = "filelock-3.12.4-py3-none-any.whl", hash = "sha256:08c21d87ded6e2b9da6728c3dff51baf1dcecf973b768ef35bcbc3447edb9ad4"},
|
||||||
{file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
|
{file = "filelock-3.12.4.tar.gz", hash = "sha256:2e6f249f1f3654291606e046b09f1fd5eac39b360664c27f5aad072012f8bcbd"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
|
docs = ["furo (>=2023.7.26)", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1.24)"]
|
||||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
|
testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"]
|
||||||
typing = ["typing-extensions (>=4.8)"]
|
typing = ["typing-extensions (>=4.7.1)"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "fonttools"
|
name = "fonttools"
|
||||||
version = "4.49.0"
|
version = "4.43.1"
|
||||||
description = "Tools to manipulate font files"
|
description = "Tools to manipulate font files"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "fonttools-4.49.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d970ecca0aac90d399e458f0b7a8a597e08f95de021f17785fb68e2dc0b99717"},
|
{file = "fonttools-4.43.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:bf11e2cca121df35e295bd34b309046c29476ee739753bc6bc9d5050de319273"},
|
||||||
{file = "fonttools-4.49.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac9a745b7609f489faa65e1dc842168c18530874a5f5b742ac3dd79e26bca8bc"},
|
{file = "fonttools-4.43.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10b3922875ffcba636674f406f9ab9a559564fdbaa253d66222019d569db869c"},
|
||||||
{file = "fonttools-4.49.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ba0e00620ca28d4ca11fc700806fd69144b463aa3275e1b36e56c7c09915559"},
|
{file = "fonttools-4.43.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f727c3e3d08fd25352ed76cc3cb61486f8ed3f46109edf39e5a60fc9fecf6ca"},
|
||||||
{file = "fonttools-4.49.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdee3ab220283057e7840d5fb768ad4c2ebe65bdba6f75d5d7bf47f4e0ed7d29"},
|
{file = "fonttools-4.43.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad0b3f6342cfa14be996971ea2b28b125ad681c6277c4cd0fbdb50340220dfb6"},
|
||||||
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description = "Read metadata from Python packages"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "importlib_metadata-7.0.1-py3-none-any.whl", hash = "sha256:4805911c3a4ec7c3966410053e9ec6a1fecd629117df5adee56dfc9432a1081e"},
|
{file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
|
||||||
{file = "importlib_metadata-7.0.1.tar.gz", hash = "sha256:f238736bb06590ae52ac1fab06a3a9ef1d8dce2b7a35b5ab329371d6c8f5d2cc"},
|
{file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
zipp = ">=0.5"
|
zipp = ">=0.5"
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
|
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
||||||
perf = ["ipython"]
|
perf = ["ipython"]
|
||||||
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
|
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "importlib-resources"
|
name = "importlib-resources"
|
||||||
version = "6.1.1"
|
version = "6.1.0"
|
||||||
description = "Read resources from Python packages"
|
description = "Read resources from Python packages"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
|
{file = "importlib_resources-6.1.0-py3-none-any.whl", hash = "sha256:aa50258bbfa56d4e33fbd8aa3ef48ded10d1735f11532b8df95388cc6bdb7e83"},
|
||||||
{file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
|
{file = "importlib_resources-6.1.0.tar.gz", hash = "sha256:9d48dcccc213325e810fd723e7fbb45ccb39f6cf5c31f00cf2b965f5f10f3cb9"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
@ -295,28 +294,20 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "isort"
|
name = "isort"
|
||||||
version = "5.13.2"
|
version = "5.12.0"
|
||||||
description = "A Python utility / library to sort Python imports."
|
description = "A Python utility / library to sort Python imports."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8.0"
|
python-versions = ">=3.8.0"
|
||||||
files = [
|
files = [
|
||||||
{file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
|
{file = "isort-5.12.0-py3-none-any.whl", hash = "sha256:f84c2818376e66cf843d497486ea8fed8700b340f308f076c6fb1229dff318b6"},
|
||||||
{file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
|
{file = "isort-5.12.0.tar.gz", hash = "sha256:8bef7dde241278824a6d83f44a544709b065191b95b6e50894bdc722fcba0504"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
colors = ["colorama (>=0.4.6)"]
|
colors = ["colorama (>=0.4.3)"]
|
||||||
|
pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"]
|
||||||
[[package]]
|
plugins = ["setuptools"]
|
||||||
name = "joblib"
|
requirements-deprecated-finder = ["pip-api", "pipreqs"]
|
||||||
version = "1.3.2"
|
|
||||||
description = "Lightweight pipelining with Python functions"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.7"
|
|
||||||
files = [
|
|
||||||
{file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
|
|
||||||
{file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "kiwisolver"
|
name = "kiwisolver"
|
||||||
@ -433,48 +424,47 @@ files = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "lazy-object-proxy"
|
name = "lazy-object-proxy"
|
||||||
version = "1.10.0"
|
version = "1.9.0"
|
||||||
description = "A fast and thorough lazy object proxy."
|
description = "A fast and thorough lazy object proxy."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "lazy-object-proxy-1.10.0.tar.gz", hash = "sha256:78247b6d45f43a52ef35c25b5581459e85117225408a4128a3daf8bf9648ac69"},
|
{file = "lazy-object-proxy-1.9.0.tar.gz", hash = "sha256:659fb5809fa4629b8a1ac5106f669cfc7bef26fbb389dda53b3e010d1ac4ebae"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:855e068b0358ab916454464a884779c7ffa312b8925c6f7401e952dcf3b89977"},
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{file = "lazy_object_proxy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b40387277b0ed2d0602b8293b94d7257e17d1479e257b4de114ea11a8cb7f2d7"},
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||||||
{file = "lazy_object_proxy-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab7004cf2e59f7c2e4345604a3e6ea0d92ac44e1c2375527d56492014e690c3"},
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||||||
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||||||
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{file = "lazy_object_proxy-1.9.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:66a3de4a3ec06cd8af3f61b8e1ec67614fbb7c995d02fa224813cb7afefee701"},
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||||||
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{file = "lazy_object_proxy-1.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1aa3de4088c89a1b69f8ec0dcc169aa725b0ff017899ac568fe44ddc1396df46"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp310-cp310-win32.whl", hash = "sha256:76a095cfe6045c7d0ca77db9934e8f7b71b14645f0094ffcd842349ada5c5fb9"},
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{file = "lazy_object_proxy-1.9.0-cp310-cp310-win32.whl", hash = "sha256:f0705c376533ed2a9e5e97aacdbfe04cecd71e0aa84c7c0595d02ef93b6e4455"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:b4f87d4ed9064b2628da63830986c3d2dca7501e6018347798313fcf028e2fd4"},
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{file = "lazy_object_proxy-1.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:ea806fd4c37bf7e7ad82537b0757999264d5f70c45468447bb2b91afdbe73a6e"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fec03caabbc6b59ea4a638bee5fce7117be8e99a4103d9d5ad77f15d6f81020c"},
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{file = "lazy_object_proxy-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:946d27deaff6cf8452ed0dba83ba38839a87f4f7a9732e8f9fd4107b21e6ff07"},
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||||||
{file = "lazy_object_proxy-1.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02c83f957782cbbe8136bee26416686a6ae998c7b6191711a04da776dc9e47d4"},
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{file = "lazy_object_proxy-1.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79a31b086e7e68b24b99b23d57723ef7e2c6d81ed21007b6281ebcd1688acb0a"},
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||||||
{file = "lazy_object_proxy-1.10.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:009e6bb1f1935a62889ddc8541514b6a9e1fcf302667dcb049a0be5c8f613e56"},
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||||||
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||||||
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||||||
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{file = "lazy_object_proxy-1.9.0-cp311-cp311-win32.whl", hash = "sha256:81fc4d08b062b535d95c9ea70dbe8a335c45c04029878e62d744bdced5141586"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:e271058822765ad5e3bca7f05f2ace0de58a3f4e62045a8c90a0dfd2f8ad8cc6"},
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{file = "lazy_object_proxy-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:f2457189d8257dd41ae9b434ba33298aec198e30adf2dcdaaa3a28b9994f6adb"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e98c8af98d5707dcdecc9ab0863c0ea6e88545d42ca7c3feffb6b4d1e370c7ba"},
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|
||||||
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{file = "lazy_object_proxy-1.9.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cbf9b082426036e19c6924a9ce90c740a9861e2bdc27a4834fd0a910742ac1e8"},
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||||||
{file = "lazy_object_proxy-1.10.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80b39d3a151309efc8cc48675918891b865bdf742a8616a337cb0090791a0de9"},
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{file = "lazy_object_proxy-1.9.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f5fa4a61ce2438267163891961cfd5e32ec97a2c444e5b842d574251ade27d2"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e221060b701e2aa2ea991542900dd13907a5c90fa80e199dbf5a03359019e7a3"},
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{file = "lazy_object_proxy-1.9.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:8fa02eaab317b1e9e03f69aab1f91e120e7899b392c4fc19807a8278a07a97e8"},
|
||||||
{file = "lazy_object_proxy-1.10.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:92f09ff65ecff3108e56526f9e2481b8116c0b9e1425325e13245abfd79bdb1b"},
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{file = "lazy_object_proxy-1.9.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:e7c21c95cae3c05c14aafffe2865bbd5e377cfc1348c4f7751d9dc9a48ca4bda"},
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||||||
{file = "lazy_object_proxy-1.10.0-cp312-cp312-win32.whl", hash = "sha256:3ad54b9ddbe20ae9f7c1b29e52f123120772b06dbb18ec6be9101369d63a4074"},
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{file = "lazy_object_proxy-1.9.0-cp37-cp37m-win32.whl", hash = "sha256:f12ad7126ae0c98d601a7ee504c1122bcef553d1d5e0c3bfa77b16b3968d2734"},
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||||||
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{file = "lazy_object_proxy-1.9.0-cp37-cp37m-win_amd64.whl", hash = "sha256:edd20c5a55acb67c7ed471fa2b5fb66cb17f61430b7a6b9c3b4a1e40293b1671"},
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||||||
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||||||
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||||||
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||||||
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||||||
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{file = "lazy_object_proxy-1.9.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f0117049dd1d5635bbff65444496c90e0baa48ea405125c088e93d9cf4525b11"},
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||||||
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{file = "lazy_object_proxy-1.9.0-cp38-cp38-win32.whl", hash = "sha256:0a891e4e41b54fd5b8313b96399f8b0e173bbbfc03c7631f01efbe29bb0bcf82"},
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]
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]
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||||||
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|
||||||
[[package]]
|
[[package]]
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||||||
@ -493,58 +483,58 @@ altgraph = ">=0.17"
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|||||||
|
|
||||||
[[package]]
|
[[package]]
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||||||
name = "matplotlib"
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name = "matplotlib"
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||||||
version = "3.7.5"
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version = "3.7.3"
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||||||
description = "Python plotting package"
|
description = "Python plotting package"
|
||||||
optional = false
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optional = false
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||||||
python-versions = ">=3.8"
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python-versions = ">=3.8"
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{file = "matplotlib-3.7.5-cp39-cp39-win32.whl", hash = "sha256:29b058738c104d0ca8806395f1c9089dfe4d4f0f78ea765c6c704469f3fffc81"},
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{file = "matplotlib-3.7.3-cp39-cp39-win32.whl", hash = "sha256:40e3b9b450c6534f07278310c4e34caff41c2a42377e4b9d47b0f8d3ac1083a2"},
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{file = "matplotlib-3.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:dfc118642903a23e309b1da32886bb39a4314147d013e820c86b5fb4cb2e36d0"},
|
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{file = "matplotlib-3.7.5-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0ad550da9f160737d7890217c5eeed4337d07e83ca1b2ca6535078f354e7675"},
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||||||
{file = "matplotlib-3.7.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:20da7924a08306a861b3f2d1da0d1aa9a6678e480cf8eacffe18b565af2813e7"},
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{file = "matplotlib-3.7.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:498a08267dc69dd8f24c4b5d7423fa584d7ce0027ba71f7881df05fc09b89bb7"},
|
||||||
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b45c9798ea6bb920cb77eb7306409756a7fab9db9b463e462618e0559aecb30e"},
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{file = "matplotlib-3.7.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:d48999c4b19b5a0c058c9cd828ff6fc7748390679f6cf9a2ad653a3e802c87d3"},
|
||||||
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a99866267da1e561c7776fe12bf4442174b79aac1a47bd7e627c7e4d077ebd83"},
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{file = "matplotlib-3.7.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22d65d18b4ee8070a5fea5761d59293f1f9e2fac37ec9ce090463b0e629432fd"},
|
||||||
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b6aa62adb6c268fc87d80f963aca39c64615c31830b02697743c95590ce3fbb"},
|
{file = "matplotlib-3.7.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c40cde976c36693cc0767e27cf5f443f91c23520060bd9496678364adfafe9c"},
|
||||||
{file = "matplotlib-3.7.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e530ab6a0afd082d2e9c17eb1eb064a63c5b09bb607b2b74fa41adbe3e162286"},
|
{file = "matplotlib-3.7.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:39018a2b17592448fbfdf4b8352955e6c3905359939791d4ff429296494d1a0c"},
|
||||||
{file = "matplotlib-3.7.5.tar.gz", hash = "sha256:1e5c971558ebc811aa07f54c7b7c677d78aa518ef4c390e14673a09e0860184a"},
|
{file = "matplotlib-3.7.3.tar.gz", hash = "sha256:f09b3dd6bdeb588de91f853bbb2d6f0ff8ab693485b0c49035eaa510cb4f142e"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
@ -558,6 +548,7 @@ packaging = ">=20.0"
|
|||||||
pillow = ">=6.2.0"
|
pillow = ">=6.2.0"
|
||||||
pyparsing = ">=2.3.1"
|
pyparsing = ">=2.3.1"
|
||||||
python-dateutil = ">=2.7"
|
python-dateutil = ">=2.7"
|
||||||
|
setuptools_scm = ">=7"
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "mccabe"
|
name = "mccabe"
|
||||||
@ -804,18 +795,18 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "platformdirs"
|
name = "platformdirs"
|
||||||
version = "4.2.0"
|
version = "3.11.0"
|
||||||
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
|
{file = "platformdirs-3.11.0-py3-none-any.whl", hash = "sha256:e9d171d00af68be50e9202731309c4e658fd8bc76f55c11c7dd760d023bda68e"},
|
||||||
{file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
|
{file = "platformdirs-3.11.0.tar.gz", hash = "sha256:cf8ee52a3afdb965072dcc652433e0c7e3e40cf5ea1477cd4b3b1d2eb75495b3"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
|
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
|
||||||
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
|
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pre-commit"
|
name = "pre-commit"
|
||||||
@ -837,55 +828,49 @@ virtualenv = ">=20.10.0"
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pyinstaller"
|
name = "pyinstaller"
|
||||||
version = "6.4.0"
|
version = "6.1.0"
|
||||||
description = "PyInstaller bundles a Python application and all its dependencies into a single package."
|
description = "PyInstaller bundles a Python application and all its dependencies into a single package."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = "<3.13,>=3.8"
|
python-versions = "<3.13,>=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "pyinstaller-6.4.0-py3-none-macosx_10_13_universal2.whl", hash = "sha256:a2e63fa71784f290bbf79b31b60a27c45b17a18b8c7f910757f9474e0c12c95d"},
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{file = "pyinstaller-6.1.0-py3-none-macosx_10_13_universal2.whl", hash = "sha256:da78942d31c1911ea4abcd3ca3bd0c062af7f163a5e227fd18a359b61deda4ca"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:3127724d1841f785a9916d7b4cfd9595f359925e9ce7d137a16db8c29ca8453b"},
|
{file = "pyinstaller-6.1.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:f63d2353537bac7bfeeaedbe5ac99f3be35daa290dd1ad1be90768acbf77e3d5"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-manylinux2014_i686.whl", hash = "sha256:a37f83850cb150ad1e00fe92acecc4d39b8e10162a1850a5836a05fcb2daa870"},
|
{file = "pyinstaller-6.1.0-py3-none-manylinux2014_i686.whl", hash = "sha256:6e71d9f6f5a1e0f7523e8ebee1b76bb29538f64d863e3711c2b21033f499e2b9"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:28b98fa3c74602bdc4c5a7698e907f31e714cc40a13f6358082bcbc74ddab35c"},
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{file = "pyinstaller-6.1.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:bebf6f442bbe6343acaec873803510ee1930d026846a018f727da4e0690081f8"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:3ae62cf8858ec4dc54df6fa03d29bc78297e3c87caf532887eae8c3893be0789"},
|
{file = "pyinstaller-6.1.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:3c04963637481a3edf1eec64ab4c3fce098908f02fc472c11e73be7eedc08b95"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e3e1e6922a4260dcacf6f5655b0ca857451e05ac502d01642935d0f2873ad3c7"},
|
{file = "pyinstaller-6.1.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:4368e4eb9999ce32e3280330b3c26f175e0fa7fa13efb4d2dc4ade488ff6d7c2"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:78fb66ca753ef8becdf059eaa1e764d384cacb8c2ec76800126f8c9ef6d19a50"},
|
{file = "pyinstaller-6.1.0-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:041ab9311d08162356829bf47293a613c44dc9ace28846fb63098889c7383c5d"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:e07cff584600647af7dc279dd04c60cd1b4b1b41947b0753f8fcf1969300a583"},
|
{file = "pyinstaller-6.1.0-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:331f050e8f9e923bb6b50454acfc0547fd52092585c61eb5f2fc93de60703f13"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-win32.whl", hash = "sha256:c7bc0fbea8a9010484cfa7d3856416003af73271f03ca3da4bc0eaf14680ad17"},
|
{file = "pyinstaller-6.1.0-py3-none-win32.whl", hash = "sha256:9e8b5bbc1bdf554ade1360e62e4959091430c3cc15ebfff3c28c8894fd1f312a"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-win_amd64.whl", hash = "sha256:ec8a08c983e3febb0247893cd9bd59f55b6767a1f649cb41a0a129b8f04ff2cb"},
|
{file = "pyinstaller-6.1.0-py3-none-win_amd64.whl", hash = "sha256:f9f5bcaef6122d93c54ee7a9ecb07eab5b81a7ebfb5cb99af2b2a6ff49eff62f"},
|
||||||
{file = "pyinstaller-6.4.0-py3-none-win_arm64.whl", hash = "sha256:11e6da6a6e441379352ee460a8880f2633dac91dac0f5a9eeff5d449d459b046"},
|
{file = "pyinstaller-6.1.0-py3-none-win_arm64.whl", hash = "sha256:dd438afd2abb643f5399c0cb254a11c217c06782cb274a2911dd785f9f67fa9e"},
|
||||||
{file = "pyinstaller-6.4.0.tar.gz", hash = "sha256:1bf608ed947b58614711275a7ff169289b32560dc97ec748ebd5fa8bdec80649"},
|
{file = "pyinstaller-6.1.0.tar.gz", hash = "sha256:8f3d49c60f3344bf3d4a6d4258bda665dad185ab2b097341d3af2a6387c838ef"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
altgraph = "*"
|
altgraph = "*"
|
||||||
importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
|
importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
|
||||||
macholib = {version = ">=1.8", markers = "sys_platform == \"darwin\""}
|
macholib = {version = ">=1.8", markers = "sys_platform == \"darwin\""}
|
||||||
packaging = ">=22.0"
|
packaging = ">=20.0"
|
||||||
pefile = {version = ">=2022.5.30", markers = "sys_platform == \"win32\""}
|
pefile = {version = ">=2022.5.30", markers = "sys_platform == \"win32\""}
|
||||||
pyinstaller-hooks-contrib = ">=2024.0"
|
pyinstaller-hooks-contrib = ">=2021.4"
|
||||||
pywin32-ctypes = {version = ">=0.2.1", markers = "sys_platform == \"win32\""}
|
pywin32-ctypes = {version = ">=0.2.1", markers = "sys_platform == \"win32\""}
|
||||||
setuptools = ">=42.0.0"
|
setuptools = ">=42.0.0"
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
completion = ["argcomplete"]
|
|
||||||
hook-testing = ["execnet (>=1.5.0)", "psutil", "pytest (>=2.7.3)"]
|
hook-testing = ["execnet (>=1.5.0)", "psutil", "pytest (>=2.7.3)"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pyinstaller-hooks-contrib"
|
name = "pyinstaller-hooks-contrib"
|
||||||
version = "2024.1"
|
version = "2023.10"
|
||||||
description = "Community maintained hooks for PyInstaller"
|
description = "Community maintained hooks for PyInstaller"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.7"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "pyinstaller-hooks-contrib-2024.1.tar.gz", hash = "sha256:51a51ea9e1ae6bd5ffa7ec45eba7579624bf4f2472ff56dba0edc186f6ed46a6"},
|
{file = "pyinstaller-hooks-contrib-2023.10.tar.gz", hash = "sha256:4b4a998036abb713774cb26534ca06b7e6e09e4c628196017a10deb11a48747f"},
|
||||||
{file = "pyinstaller_hooks_contrib-2024.1-py2.py3-none-any.whl", hash = "sha256:131494f9cfce190aaa66ed82e82c78b2723d1720ce64d012fbaf938f4ab01d35"},
|
{file = "pyinstaller_hooks_contrib-2023.10-py2.py3-none-any.whl", hash = "sha256:6dc1786a8f452941245d5bb85893e2a33632ebdcbc4c23eea41f2ee08281b0c0"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
|
|
||||||
packaging = ">=22.0"
|
|
||||||
setuptools = ">=42.0.0"
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pylint"
|
name = "pylint"
|
||||||
version = "2.17.7"
|
version = "2.17.7"
|
||||||
@ -960,13 +945,13 @@ six = ">=1.5"
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "pytz"
|
name = "pytz"
|
||||||
version = "2024.1"
|
version = "2023.3.post1"
|
||||||
description = "World timezone definitions, modern and historical"
|
description = "World timezone definitions, modern and historical"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = "*"
|
python-versions = "*"
|
||||||
files = [
|
files = [
|
||||||
{file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
|
{file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
|
||||||
{file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
|
{file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1005,7 +990,6 @@ files = [
|
|||||||
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
|
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
|
||||||
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
|
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
|
||||||
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
|
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
|
||||||
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||||||
@ -1040,107 +1024,44 @@ files = [
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|||||||
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
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|
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|
||||||
|
|
||||||
[[package]]
|
|
||||||
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|
|
||||||
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|
|
||||||
description = "A set of python modules for machine learning and data mining"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
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|
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files = [
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|
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|
||||||
[package.dependencies]
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|
||||||
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|
||||||
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|
||||||
scipy = ">=1.5.0"
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|
||||||
threadpoolctl = ">=2.0.0"
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|
||||||
|
|
||||||
[package.extras]
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|
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|
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|
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|
||||||
|
|
||||||
[[package]]
|
|
||||||
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|
||||||
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|
|
||||||
description = "Fundamental algorithms for scientific computing in Python"
|
|
||||||
optional = false
|
|
||||||
python-versions = "<3.12,>=3.8"
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|
||||||
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|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
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|
|
||||||
|
|
||||||
[package.extras]
|
|
||||||
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|
||||||
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|
||||||
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|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
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|
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|
||||||
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||||||
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|
||||||
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|
optional = false
|
||||||
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|
python-versions = ">=3.8"
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||||||
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|
||||||
|
|
||||||
[package.extras]
|
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||||||
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||||||
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|
||||||
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|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "setuptools-scm"
|
||||||
|
version = "8.0.4"
|
||||||
|
description = "the blessed package to manage your versions by scm tags"
|
||||||
|
optional = false
|
||||||
|
python-versions = ">=3.8"
|
||||||
|
files = [
|
||||||
|
{file = "setuptools-scm-8.0.4.tar.gz", hash = "sha256:b5f43ff6800669595193fd09891564ee9d1d7dcb196cab4b2506d53a2e1c95c7"},
|
||||||
|
{file = "setuptools_scm-8.0.4-py3-none-any.whl", hash = "sha256:b47844cd2a84b83b3187a5782c71128c28b4c94cad8bfb871da2784a5cb54c4f"},
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.dependencies]
|
||||||
|
packaging = ">=20"
|
||||||
|
setuptools = "*"
|
||||||
|
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
|
||||||
|
typing-extensions = "*"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
|
||||||
|
rich = ["rich"]
|
||||||
|
test = ["build", "pytest", "rich", "wheel"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "shiboken2"
|
name = "shiboken2"
|
||||||
version = "5.15.2.1"
|
version = "5.15.2.1"
|
||||||
@ -1181,17 +1102,6 @@ files = [
|
|||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
mpmath = ">=0.19"
|
mpmath = ">=0.19"
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "threadpoolctl"
|
|
||||||
version = "3.3.0"
|
|
||||||
description = "threadpoolctl"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
|
|
||||||
files = [
|
|
||||||
{file = "threadpoolctl-3.3.0-py3-none-any.whl", hash = "sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e"},
|
|
||||||
{file = "threadpoolctl-3.3.0.tar.gz", hash = "sha256:5dac632b4fa2d43f42130267929af3ba01399ef4bd1882918e92dbc30365d30c"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "tomli"
|
name = "tomli"
|
||||||
version = "2.0.1"
|
version = "2.0.1"
|
||||||
@ -1205,52 +1115,52 @@ files = [
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "tomlkit"
|
name = "tomlkit"
|
||||||
version = "0.12.3"
|
version = "0.12.1"
|
||||||
description = "Style preserving TOML library"
|
description = "Style preserving TOML library"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.7"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "tomlkit-0.12.3-py3-none-any.whl", hash = "sha256:b0a645a9156dc7cb5d3a1f0d4bab66db287fcb8e0430bdd4664a095ea16414ba"},
|
{file = "tomlkit-0.12.1-py3-none-any.whl", hash = "sha256:712cbd236609acc6a3e2e97253dfc52d4c2082982a88f61b640ecf0817eab899"},
|
||||||
{file = "tomlkit-0.12.3.tar.gz", hash = "sha256:75baf5012d06501f07bee5bf8e801b9f343e7aac5a92581f20f80ce632e6b5a4"},
|
{file = "tomlkit-0.12.1.tar.gz", hash = "sha256:38e1ff8edb991273ec9f6181244a6a391ac30e9f5098e7535640ea6be97a7c86"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "typing-extensions"
|
name = "typing-extensions"
|
||||||
version = "4.9.0"
|
version = "4.8.0"
|
||||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.8"
|
python-versions = ">=3.8"
|
||||||
files = [
|
files = [
|
||||||
{file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
|
{file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
|
||||||
{file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
|
{file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "tzdata"
|
name = "tzdata"
|
||||||
version = "2024.1"
|
version = "2023.3"
|
||||||
description = "Provider of IANA time zone data"
|
description = "Provider of IANA time zone data"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=2"
|
python-versions = ">=2"
|
||||||
files = [
|
files = [
|
||||||
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
|
{file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
|
||||||
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "virtualenv"
|
name = "virtualenv"
|
||||||
version = "20.25.1"
|
version = "20.24.5"
|
||||||
description = "Virtual Python Environment builder"
|
description = "Virtual Python Environment builder"
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.7"
|
python-versions = ">=3.7"
|
||||||
files = [
|
files = [
|
||||||
{file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
|
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|
||||||
{file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"},
|
{file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
distlib = ">=0.3.7,<1"
|
distlib = ">=0.3.7,<1"
|
||||||
filelock = ">=3.12.2,<4"
|
filelock = ">=3.12.2,<4"
|
||||||
platformdirs = ">=3.9.1,<5"
|
platformdirs = ">=3.9.1,<4"
|
||||||
|
|
||||||
[package.extras]
|
[package.extras]
|
||||||
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
|
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
|
||||||
@ -1258,81 +1168,86 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
|
|||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "wrapt"
|
name = "wrapt"
|
||||||
version = "1.16.0"
|
version = "1.15.0"
|
||||||
description = "Module for decorators, wrappers and monkey patching."
|
description = "Module for decorators, wrappers and monkey patching."
|
||||||
optional = false
|
optional = false
|
||||||
python-versions = ">=3.6"
|
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
|
||||||
files = [
|
files = [
|
||||||
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|
||||||
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|
||||||
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|
||||||
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||||||
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{file = "wrapt-1.15.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd525e0e52a5ff16653a3fc9e3dd827981917d34996600bbc34c05d048ca35cc"},
|
||||||
{file = "wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35"},
|
{file = "wrapt-1.15.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d37ac69edc5614b90516807de32d08cb8e7b12260a285ee330955604ed9dd29"},
|
||||||
{file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
|
{file = "wrapt-1.15.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:078e2a1a86544e644a68422f881c48b84fef6d18f8c7a957ffd3f2e0a74a0d4a"},
|
||||||
{file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
|
{file = "wrapt-1.15.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2cf56d0e237280baed46f0b5316661da892565ff58309d4d2ed7dba763d984b8"},
|
||||||
|
{file = "wrapt-1.15.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7dc0713bf81287a00516ef43137273b23ee414fe41a3c14be10dd95ed98a2df9"},
|
||||||
|
{file = "wrapt-1.15.0-cp39-cp39-win32.whl", hash = "sha256:46ed616d5fb42f98630ed70c3529541408166c22cdfd4540b88d5f21006b0eff"},
|
||||||
|
{file = "wrapt-1.15.0-cp39-cp39-win_amd64.whl", hash = "sha256:eef4d64c650f33347c1f9266fa5ae001440b232ad9b98f1f43dfe7a79435c0a6"},
|
||||||
|
{file = "wrapt-1.15.0-py3-none-any.whl", hash = "sha256:64b1df0f83706b4ef4cfb4fb0e4c2669100fd7ecacfb59e091fad300d4e04640"},
|
||||||
|
{file = "wrapt-1.15.0.tar.gz", hash = "sha256:d06730c6aed78cee4126234cf2d071e01b44b915e725a6cb439a879ec9754a3a"},
|
||||||
]
|
]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
@ -1353,4 +1268,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
|
|||||||
[metadata]
|
[metadata]
|
||||||
lock-version = "2.0"
|
lock-version = "2.0"
|
||||||
python-versions = ">=3.8,<3.9"
|
python-versions = ">=3.8,<3.9"
|
||||||
content-hash = "9bf21cc5d976daacdc0b02b174351c8a7e4b6a6602cbc1b5f0d7b658cf0b908a"
|
content-hash = "e8ca19934d2ae7c8fbe0238a777e8d7b8882c86d38a700bdd0495b175f1458fe"
|
||||||
|
|||||||
@ -1,6 +1,6 @@
|
|||||||
[tool.poetry]
|
[tool.poetry]
|
||||||
name = "statapp"
|
name = "statapp"
|
||||||
version = "0.13.0"
|
version = "0.12.0"
|
||||||
description = ""
|
description = ""
|
||||||
authors = [
|
authors = [
|
||||||
"Maxim Slipenko <statapp@maks1ms.addy.io>"
|
"Maxim Slipenko <statapp@maks1ms.addy.io>"
|
||||||
@ -20,9 +20,6 @@ pylint = { version = "^2", markers = "python_version < '3.9'" }
|
|||||||
sympy = "^1.12"
|
sympy = "^1.12"
|
||||||
matplotlib = "^3.7.0"
|
matplotlib = "^3.7.0"
|
||||||
pillow = "9.5"
|
pillow = "9.5"
|
||||||
scikit-learn = "1.3.2"
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
[build-system]
|
[build-system]
|
||||||
|
|||||||
124
statapp/_vendor/multipolyfit.py
Normal file
124
statapp/_vendor/multipolyfit.py
Normal file
@ -0,0 +1,124 @@
|
|||||||
|
# Copyright (c) 2023 Matthew Rocklin
|
||||||
|
# All rights reserved.
|
||||||
|
# This source code is distributed under the terms of the BSD license,
|
||||||
|
# which allows you to use, modify, and distribute it
|
||||||
|
# as long as you comply with the license terms.
|
||||||
|
|
||||||
|
# In addition, this code has been modified by Maxim Slipenko and
|
||||||
|
# is now also licensed under the GPL-3.0.
|
||||||
|
# See the GPL-3.0 license for details.
|
||||||
|
|
||||||
|
import itertools
|
||||||
|
from numpy import linalg, zeros, ones, hstack, asarray
|
||||||
|
from sympy import symbols, Mul, Add, S
|
||||||
|
|
||||||
|
|
||||||
|
def basisVector(n, i):
|
||||||
|
""" Return an array like [0, 0, ..., 1, ..., 0, 0]
|
||||||
|
|
||||||
|
>>> from statapp._vendor.multipolyfit import basisVector
|
||||||
|
>>> basis_vector(3, 1)
|
||||||
|
array([0, 1, 0])
|
||||||
|
>>> basisVector(5, 4)
|
||||||
|
array([0, 0, 0, 0, 1])
|
||||||
|
"""
|
||||||
|
x = zeros(n, dtype=int)
|
||||||
|
x[i] = 1
|
||||||
|
return x
|
||||||
|
|
||||||
|
|
||||||
|
def asTall(x):
|
||||||
|
""" Turns a row vector into a column vector """
|
||||||
|
return x.reshape(x.shape + (1,))
|
||||||
|
|
||||||
|
|
||||||
|
def multipolyfit(xs, y, deg, full=False, modelOut=False, powersOut=False):
|
||||||
|
# pylint: disable-msg=too-many-locals
|
||||||
|
"""
|
||||||
|
Least squares multivariate polynomial fit
|
||||||
|
|
||||||
|
Fit a polynomial like ``y = a**2 + 3a - 2ab + 4b**2 - 1``
|
||||||
|
with many covariates a, b, c, ...
|
||||||
|
|
||||||
|
Parameters
|
||||||
|
----------
|
||||||
|
|
||||||
|
xs : array_like, shape (M, k)
|
||||||
|
x-coordinates of the k covariates over the M sample points
|
||||||
|
y : array_like, shape(M,)
|
||||||
|
y-coordinates of the sample points.
|
||||||
|
deg : int
|
||||||
|
Degree o fthe fitting polynomial
|
||||||
|
modelOut : bool (defaults to True)
|
||||||
|
If True return a callable function
|
||||||
|
If False return an array of coefficients
|
||||||
|
powersOut : bool (defaults to False)
|
||||||
|
Returns the meaning of each of the coefficients in the form of an
|
||||||
|
iterator that gives the powers over the inputs and 1
|
||||||
|
For example if xs corresponds to the covariates a,b,c then the array
|
||||||
|
[1, 2, 1, 0] corresponds to 1**1 * a**2 * b**1 * c**0
|
||||||
|
|
||||||
|
See Also
|
||||||
|
--------
|
||||||
|
numpy.polyfit
|
||||||
|
|
||||||
|
"""
|
||||||
|
# pylin
|
||||||
|
y = asarray(y).squeeze()
|
||||||
|
# rows = y.shape[0]
|
||||||
|
xs = asarray(xs)
|
||||||
|
numCovariates = xs.shape[1]
|
||||||
|
xs = hstack((ones((xs.shape[0], 1), dtype=xs.dtype) , xs))
|
||||||
|
|
||||||
|
generators = [basisVector(numCovariates + 1, i)
|
||||||
|
for i in range(numCovariates+1)]
|
||||||
|
|
||||||
|
# All combinations of degrees
|
||||||
|
powers = [sum(x) for x in itertools.combinations_with_replacement(generators, deg)]
|
||||||
|
|
||||||
|
# Raise data to specified degree pattern, stack in order
|
||||||
|
a = hstack(asarray([asTall((xs ** p).prod(1)) for p in powers]))
|
||||||
|
|
||||||
|
result = linalg.lstsq(a, y, rcond=None)
|
||||||
|
beta = result[0]
|
||||||
|
|
||||||
|
if modelOut:
|
||||||
|
return mkModel(beta, powers)
|
||||||
|
|
||||||
|
if powersOut:
|
||||||
|
return beta, powers
|
||||||
|
|
||||||
|
if full:
|
||||||
|
return result, powers, a
|
||||||
|
|
||||||
|
return beta
|
||||||
|
|
||||||
|
|
||||||
|
def mkModel(beta, powers):
|
||||||
|
""" Create a callable python function out of beta/powers from multipolyfit
|
||||||
|
|
||||||
|
This function is callable from within multipolyfit using the model_out flag
|
||||||
|
"""
|
||||||
|
# Create a function that takes in many x values
|
||||||
|
# and returns an approximate y value
|
||||||
|
def model(*args):
|
||||||
|
numCovariates = len(powers[0]) - 1
|
||||||
|
if len(args) != numCovariates:
|
||||||
|
raise ValueError(f"Expected {numCovariates} inputs")
|
||||||
|
xs = asarray((1,) + args)
|
||||||
|
return sum(coeff * (xs**p).prod()
|
||||||
|
for p, coeff in zip(powers, beta))
|
||||||
|
return model
|
||||||
|
|
||||||
|
|
||||||
|
def mkSympyFunction(beta, powers):
|
||||||
|
terms = getTerms(powers)
|
||||||
|
return Add(*[coeff * term for term, coeff in zip(terms, beta)])
|
||||||
|
|
||||||
|
|
||||||
|
def getTerms(powers):
|
||||||
|
numCovariates = len(powers[0])
|
||||||
|
xs = (S.One,) + symbols(f'x1:{numCovariates}')
|
||||||
|
|
||||||
|
terms = [Mul(*[x ** deg for x, deg in zip(xs, power)]) for power in powers]
|
||||||
|
return terms
|
||||||
@ -22,11 +22,7 @@ from dataclasses import dataclass
|
|||||||
import numpy as np
|
import numpy as np
|
||||||
import pandas as pd
|
import pandas as pd
|
||||||
import sympy as sp
|
import sympy as sp
|
||||||
from sklearn.preprocessing import PolynomialFeatures
|
from statapp._vendor.multipolyfit import multipolyfit, getTerms
|
||||||
from sklearn.linear_model import LinearRegression
|
|
||||||
from sklearn.metrics import mean_squared_error
|
|
||||||
from sklearn.metrics import r2_score
|
|
||||||
|
|
||||||
|
|
||||||
DIRECT_LINK = 0
|
DIRECT_LINK = 0
|
||||||
INDIRECT_LINK = 1
|
INDIRECT_LINK = 1
|
||||||
@ -82,95 +78,64 @@ class RegressionResult:
|
|||||||
monomials: list
|
monomials: list
|
||||||
|
|
||||||
|
|
||||||
def _prepareDataAndFeatures(data, degree):
|
def commonPolynom(inputData, deg) -> RegressionResult:
|
||||||
y = data[:, 0]
|
x = inputData[:, 1:]
|
||||||
x = data[:, 1:]
|
y = inputData[:, 0]
|
||||||
polyFeatures = PolynomialFeatures(degree=degree, include_bias=False)
|
result, powers, data = multipolyfit(x, y, deg, full=True)
|
||||||
xPoly = polyFeatures.fit_transform(x)
|
(out, mse, scaledResidualVariance,
|
||||||
return y, x, xPoly, polyFeatures
|
rSquared, fStatistic) = calculateStats(data, result[0], result[1], y)
|
||||||
|
|
||||||
|
|
||||||
def _trainModelAndPredict(y, xPoly):
|
|
||||||
model = LinearRegression(fit_intercept=True)
|
|
||||||
model.fit(xPoly, y)
|
|
||||||
predictions = model.predict(xPoly)
|
|
||||||
return model, predictions
|
|
||||||
|
|
||||||
|
|
||||||
def _calculateStatistics(y, x, xPoly, predictions, model, polyFeatures):
|
|
||||||
# Рассчитываем Среднеквадратическую ошибку (MSE) между фактическими и прогнозируемыми значениями
|
|
||||||
mse = mean_squared_error(y, predictions)
|
|
||||||
# Рассчитываем коэффициент детерминации R^2, который
|
|
||||||
# показывает долю вариации зависимой переменной, объясненную моделью
|
|
||||||
rSquared = r2_score(y, predictions)
|
|
||||||
# Определяем количество наблюдений
|
|
||||||
n = xPoly.shape[0]
|
|
||||||
# Определяем количество предикторов (признаков) плюс один для свободного члена
|
|
||||||
k = xPoly.shape[1] + 1
|
|
||||||
# Рассчитываем F-статистику для оценки значимости всей регрессионной модели
|
|
||||||
fStatistic = (rSquared / (k - 1)) / ((1 - rSquared) / (n - k))
|
|
||||||
# Собираем параметры модели, включая свободный член и коэффициенты перед переменными
|
|
||||||
params = np.hstack([model.intercept_, model.coef_])
|
|
||||||
# Вычисляем остатки модели как разницу между фактическими и прогнозируемыми значениями
|
|
||||||
residuals = y - predictions
|
|
||||||
# Добавляем столбец единиц к матрице признаков для учета свободного члена в регрессионной модели
|
|
||||||
xWithIntercept = np.hstack([np.ones((n, 1)), xPoly])
|
|
||||||
# Рассчитываем дисперсии коэффициентов модели
|
|
||||||
varB = mse * np.linalg.pinv(xWithIntercept.T @ xWithIntercept).diagonal()
|
|
||||||
# Вычисляем стандартные ошибки коэффициентов, берем корень из дисперсий
|
|
||||||
seB = np.sqrt(np.maximum(varB, 0))
|
|
||||||
# Рассчитываем t-статистики для каждого коэффициента
|
|
||||||
tStats = params / seB
|
|
||||||
# Рассчитываем дисперсию остатков с поправкой на количество параметров
|
|
||||||
residualVariance = np.var(residuals, ddof=k)
|
|
||||||
# Рассчитываем скорректированную дисперсию остатков
|
|
||||||
scaledResidualVariance = 1 - rSquared
|
|
||||||
# Генерируем список мономов (названий признаков после
|
|
||||||
# полиномиализации), добавляя константу для свободного члена
|
|
||||||
monomials = ['c'] + list(
|
|
||||||
polyFeatures.get_feature_names_out(['x' + str(i) for i in range(1, x.shape[1] + 1)])
|
|
||||||
)
|
|
||||||
# Заменяем пробелы на звездочки для представления умножения в названиях мономов
|
|
||||||
monomials = [monomial.replace(' ', '*') for monomial in monomials]
|
|
||||||
weightsCoef = np.concatenate((np.array([0]), tStats[1:] / np.sum(tStats[1:])))
|
|
||||||
# Возвращаем рассчитанные статистики и названия мономов
|
|
||||||
return (params, tStats, weightsCoef,
|
|
||||||
residualVariance, scaledResidualVariance,
|
|
||||||
rSquared, fStatistic, monomials)
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
def _regressionAnalysis(data, degree):
|
|
||||||
y, x, xPoly, polyFeatures = _prepareDataAndFeatures(
|
|
||||||
data, degree
|
|
||||||
)
|
|
||||||
model, predictions = _trainModelAndPredict(y, xPoly)
|
|
||||||
(params, tStats, weightsCoef, residualVariance,
|
|
||||||
scaledResidualVariance, rSquared, fStatistic, monomials) = (
|
|
||||||
_calculateStatistics(
|
|
||||||
y,
|
|
||||||
x,
|
|
||||||
xPoly,
|
|
||||||
predictions,
|
|
||||||
model,
|
|
||||||
polyFeatures
|
|
||||||
))
|
|
||||||
|
|
||||||
return RegressionResult(
|
return RegressionResult(
|
||||||
np.vstack((params, tStats, weightsCoef)).T,
|
out.to_numpy(),
|
||||||
residualVariance,
|
np.float64(mse),
|
||||||
scaledResidualVariance,
|
np.float64(scaledResidualVariance),
|
||||||
rSquared,
|
np.float64(rSquared),
|
||||||
fStatistic,
|
np.float64(fStatistic),
|
||||||
monomials
|
['c' if str(x) == '1' else str(x) for x in getTerms(powers)]
|
||||||
)
|
)
|
||||||
|
|
||||||
def linearPolynom(data):
|
|
||||||
return _regressionAnalysis(data, 1)
|
def linearPolynom(inputData) -> RegressionResult:
|
||||||
|
return commonPolynom(inputData, 1)
|
||||||
|
|
||||||
|
|
||||||
def squaredPolynom(data):
|
def squaredPolynom(inputData) -> RegressionResult:
|
||||||
return _regressionAnalysis(data, 2)
|
return commonPolynom(inputData, 2)
|
||||||
|
|
||||||
|
|
||||||
|
def calculateStats(data, params, residues, y):
|
||||||
|
# pylint: disable-msg=too-many-locals
|
||||||
|
|
||||||
|
k = len(params) # Количество оцениваемых параметров (коэффициентов)
|
||||||
|
n = len(data) # Количество наблюдений
|
||||||
|
|
||||||
|
# Степень свободы (degrees of freedom) для остатков
|
||||||
|
dof = n - k # Количество наблюдений минус количество оцениваемых параметров
|
||||||
|
# Остаточная дисперсия (Mean Squared Error, MSE)
|
||||||
|
mse = residues / dof
|
||||||
|
# Среднее значение остатков
|
||||||
|
meanResiduals = np.sum(residues) / dof
|
||||||
|
# Масштабированная остаточная дисперсия
|
||||||
|
scaledResidualVariance = residues / meanResiduals ** 2
|
||||||
|
# Ковариационная матрица коэффициентов
|
||||||
|
cov = mse * np.diagonal(np.linalg.inv(data.T @ data))
|
||||||
|
# Стандартные ошибки коэффициентов
|
||||||
|
se = np.sqrt(cov)
|
||||||
|
# T-статистики для каждого коэффициента регрессии
|
||||||
|
tStatistics = params / se
|
||||||
|
|
||||||
|
# R-squared (коэффициент множественной детерминации)
|
||||||
|
sst = np.sum((y - np.mean(y)) ** 2) # Сумма квадратов отклонений
|
||||||
|
rSquared = 1 - (mse[0] / sst)
|
||||||
|
|
||||||
|
# F-statistic (статистика Фишера)
|
||||||
|
fStatistic = (rSquared / (k - 1)) / ((1 - rSquared) / (n - k))
|
||||||
|
|
||||||
|
out = pd.DataFrame()
|
||||||
|
out[0] = params
|
||||||
|
out[1] = tStatistics
|
||||||
|
|
||||||
|
return out, mse[0], scaledResidualVariance, rSquared, fStatistic
|
||||||
|
|
||||||
|
|
||||||
def prediction(inputData, result: RegressionResult):
|
def prediction(inputData, result: RegressionResult):
|
||||||
@ -188,12 +153,8 @@ def prediction(inputData, result: RegressionResult):
|
|||||||
|
|
||||||
results = []
|
results = []
|
||||||
|
|
||||||
numVars = inputs.shape[1]
|
|
||||||
symbolsStr = ' '.join([f'x{i}' for i in range(1, numVars + 1)])
|
|
||||||
symbols = sp.symbols(symbolsStr)
|
|
||||||
|
|
||||||
for y, xValues in zip(outputs, inputs):
|
for y, xValues in zip(outputs, inputs):
|
||||||
subsDict = dict(zip(symbols, xValues))
|
subsDict = dict(zip(expr.free_symbols, xValues))
|
||||||
predictedResult = expr.subs(subsDict)
|
predictedResult = expr.subs(subsDict)
|
||||||
difference = predictedResult - y
|
difference = predictedResult - y
|
||||||
|
|
||||||
|
|||||||
File diff suppressed because one or more lines are too long
@ -32,9 +32,9 @@ along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|||||||
|
|
||||||
## Дополнительная литература
|
## Дополнительная литература
|
||||||
|
|
||||||
- [Гмурман В. Е. Теория вероятностей и математическая статистика. Учеб. пособие для вузов.pdf](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D0%BC%D1%83%D1%80%D0%BC%D0%B0%D0%BD%20%D0%92.%20%D0%95.%20%D0%A2%D0%B5%D0%BE%D1%80%D0%B8%D1%8F%20%D0%B2%D0%B5%D1%80%D0%BE%D1%8F%D1%82%D0%BD%D0%BE%D1%81%D1%82%D0%B5%D0%B9%20%D0%B8%20%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F%20%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0.%20%D0%A3%D1%87%D0%B5%D0%B1.%20%D0%BF%D0%BE%D1%81%D0%BE%D0%B1%D0%B8%D0%B5%20%D0%B4%D0%BB%D1%8F%20%D0%B2%D1%83%D0%B7%D0%BE%D0%B2.pdf)
|
- [Гмурман В. Е. Теория вероятностей и математическая статистика. Учеб. пособие для вузов.pdf](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D0%BE%D1%80%D1%8F%D0%B8%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%A2.%2C%20%D0%96%D1%83%D1%80%D0%B0%D0%B2%D0%BB%D0%B5%D0%B2%20%D0%90.%20%D0%93.%2C%20%D0%A2%D0%B8%D1%85%D0%BE%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%98.%20%D0%A1%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F%20%D1%80%D0%B0%D0%B4%D0%B8%D0%BE%D1%82%D0%B5%D1%85%D0%BD%D0%B8%D0%BA%D0%B0%3A%20%D0%9F%D1%80%D0%B8%D0%BC%D0%B5%D1%80%D1%8B%20%D0%B8%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%D0%B8.pdf)
|
||||||
- [Гмурман В.Е. Руководство к решению задач по теории вероятностей и математической статистике](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D0%BC%D1%83%D1%80%D0%BC%D0%B0%D0%BD%20%D0%92.%D0%95.%20%D0%A0%D1%83%D0%BA%D0%BE%D0%B2%D0%BE%D0%B4%D1%81%D1%82%D0%B2%D0%BE%20%D0%BA%20%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D1%8E%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%20%D0%BF%D0%BE%20%D1%82%D0%B5%D0%BE%D1%80%D0%B8%D0%B8%20%D0%B2%D0%B5%D1%80%D0%BE%D1%8F%D1%82%D0%BD%D0%BE%D1%81%D1%82%D0%B5%D0%B9%20%D0%B8%20%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%BE%D0%B9%20%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B5.pdf)
|
- [Гмурман В.Е. Руководство к решению задач по теории вероятностей и математической статистике](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D0%BC%D1%83%D1%80%D0%BC%D0%B0%D0%BD%20%D0%92.%D0%95.%20%D0%A0%D1%83%D0%BA%D0%BE%D0%B2%D0%BE%D0%B4%D1%81%D1%82%D0%B2%D0%BE%20%D0%BA%20%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D1%8E%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%20%D0%BF%D0%BE%20%D1%82%D0%B5%D0%BE%D1%80%D0%B8%D0%B8%20%D0%B2%D0%B5%D1%80%D0%BE%D1%8F%D1%82%D0%BD%D0%BE%D1%81%D1%82%D0%B5%D0%B9%20%D0%B8%20%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%BE%D0%B9%20%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B5.pdf)
|
||||||
- [Горяинов В. Т., Журавлев А. Г., Тихонов В. И. Статистическая радиотехника: Примеры и задачи](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D0%BE%D1%80%D1%8F%D0%B8%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%A2.%2C%20%D0%96%D1%83%D1%80%D0%B0%D0%B2%D0%BB%D0%B5%D0%B2%20%D0%90.%20%D0%93.%2C%20%D0%A2%D0%B8%D1%85%D0%BE%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%98.%20%D0%A1%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F%20%D1%80%D0%B0%D0%B4%D0%B8%D0%BE%D1%82%D0%B5%D1%85%D0%BD%D0%B8%D0%BA%D0%B0%20%D0%9F%D1%80%D0%B8%D0%BC%D0%B5%D1%80%D1%8B%20%D0%B8%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%D0%B8.pdf)
|
- [Горяинов В. Т., Журавлев А. Г., Тихонов В. И. Статистическая радиотехника: Примеры и задачи](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/https%3A%2F%2Fraw.githubusercontent.com%2Fshizand%2Fstatapp%2Fv0.12.0%2Fliterature%2F%D0%93%D0%BE%D1%80%D1%8F%D0%B8%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%A2.%2C%20%D0%96%D1%83%D1%80%D0%B0%D0%B2%D0%BB%D0%B5%D0%B2%20%D0%90.%20%D0%93.%2C%20%D0%A2%D0%B8%D1%85%D0%BE%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%98.%20%D0%A1%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F%20%D1%80%D0%B0%D0%B4%D0%B8%D0%BE%D1%82%D0%B5%D1%85%D0%BD%D0%B8%D0%BA%D0%B0%20%D0%9F%D1%80%D0%B8%D0%BC%D0%B5%D1%80%D1%8B%20%D0%B8%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87%D0%B8.pdf)
|
||||||
- [Григорьев-Голубев, В. В. Теория вероятностей и математическая статистика. Руководство по решению задач](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D1%80%D0%B8%D0%B3%D0%BE%D1%80%D1%8C%D0%B5%D0%B2-%D0%93%D0%BE%D0%BB%D1%83%D0%B1%D0%B5%D0%B2%2C%20%D0%92.%20%D0%92.%20%D0%A2%D0%B5%D0%BE%D1%80%D0%B8%D1%8F%20%D0%B2%D0%B5%D1%80%D0%BE%D1%8F%D1%82%D0%BD%D0%BE%D1%81%D1%82%D0%B5%D0%B9%20%D0%B8%20%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F%20%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0.%20%D0%A0%D1%83%D0%BA%D0%BE%D0%B2%D0%BE%D0%B4%D1%81%D1%82%D0%B2%D0%BE%20%D0%BF%D0%BE%20%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D1%8E%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87.pdf)
|
- [Григорьев-Голубев, В. В. Теория вероятностей и математическая статистика. Руководство по решению задач](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%93%D1%80%D0%B8%D0%B3%D0%BE%D1%80%D1%8C%D0%B5%D0%B2-%D0%93%D0%BE%D0%BB%D1%83%D0%B1%D0%B5%D0%B2%2C%20%D0%92.%20%D0%92.%20%D0%A2%D0%B5%D0%BE%D1%80%D0%B8%D1%8F%20%D0%B2%D0%B5%D1%80%D0%BE%D1%8F%D1%82%D0%BD%D0%BE%D1%81%D1%82%D0%B5%D0%B9%20%D0%B8%20%D0%BC%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F%20%D1%81%D1%82%D0%B0%D1%82%D0%B8%D1%81%D1%82%D0%B8%D0%BA%D0%B0.%20%D0%A0%D1%83%D0%BA%D0%BE%D0%B2%D0%BE%D0%B4%D1%81%D1%82%D0%B2%D0%BE%20%D0%BF%D0%BE%20%D1%80%D0%B5%D1%88%D0%B5%D0%BD%D0%B8%D1%8E%20%D0%B7%D0%B0%D0%B4%D0%B0%D1%87.pdf)
|
||||||
- [Кадочникова Е. И. Эконометрика. Конспект лекций](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%9A%D0%B0%D0%B4%D0%BE%D1%87%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0%20%D0%95.%20%D0%98.%20%D0%AD%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B5%D1%82%D1%80%D0%B8%D0%BA%D0%B0.%20%D0%9A%D0%BE%D0%BD%D1%81%D0%BF%D0%B5%D0%BA%D1%82%20%D0%BB%D0%B5%D0%BA%D1%86%D0%B8%D0%B9.pdf)
|
- [Кадочникова Е. И. Эконометрика. Конспект лекций](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%9A%D0%B0%D0%B4%D0%BE%D1%87%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0%20%D0%95.%20%D0%98.%20%D0%AD%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B5%D1%82%D1%80%D0%B8%D0%BA%D0%B0.%20%D0%9A%D0%BE%D0%BD%D1%81%D0%BF%D0%B5%D0%BA%D1%82%20%D0%BB%D0%B5%D0%BA%D1%86%D0%B8%D0%B9.pdf)
|
||||||
- [Касьянов В. А. Эконометрика](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%9A%D0%B0%D1%81%D1%8C%D1%8F%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%90.%20%D0%AD%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B5%D1%82%D1%80%D0%B8%D0%BA%D0%B0.pdf)
|
- [Касьянов В. А. Эконометрика](https://raw.githubusercontent.com/shizand/statapp/v0.12.0/literature/%D0%9A%D0%B0%D1%81%D1%8C%D1%8F%D0%BD%D0%BE%D0%B2%20%D0%92.%20%D0%90.%20%D0%AD%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B5%D1%82%D1%80%D0%B8%D0%BA%D0%B0.pdf)
|
||||||
@ -42,48 +42,7 @@ along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|||||||
|
|
||||||
## Краткие теоретические сведения
|
## Краткие теоретические сведения
|
||||||
|
|
||||||
В рамках ***дисперсионного анализа*** для каждой величины вычисляются следующие характеристики.
|
*-- В разработке --*
|
||||||
***Математическое ожидание*** характеризует среднее значение величины:
|
|
||||||
|
|
||||||
<image src="files/Формула 1.PNG">
|
|
||||||
|
|
||||||
*где n – количество значений величины, i – номер значения.*
|
|
||||||
|
|
||||||
***Дисперсия*** характеризует разброс величины относительно среднего значения:
|
|
||||||
|
|
||||||
<image src="files/Формула 2.PNG">
|
|
||||||
|
|
||||||
***Среднеквадратичное отклонение*** характеризует разброс величины относительно среднего значения:
|
|
||||||
|
|
||||||
<image src="files/Формула 3.PNG">
|
|
||||||
|
|
||||||
В результате ***корреляционного анализа*** вычисляется ***корреляционная матрица***. ***Коэффициент корреляции*** (rij) характеризует взаимосвязь между величинами. Взаимосвязь считается сильной, если выполняется условие:
|
|
||||||
|
|
||||||
<image src="files/Формула 4.PNG">
|
|
||||||
|
|
||||||
Знак ***коэффициента корреляции*** показывает характер влияния величин. Если знак положительный (прямая связь), то увеличение значения одной величины приводит к увеличению значения другой. Иначе увеличение значения одной величины приводит к уменьшению значения другой (обратная связь).
|
|
||||||
|
|
||||||
При осуществлении каскадного регрессионного анализа вычисляются параметры и оценки модели. В основе анализа лежит понятие коэффициента значимости (tj), который характеризует степень влияния фактора на модель. Фактор считается значимым, если выполняется условие:
|
|
||||||
|
|
||||||
<image src="files/Формула 5.PNG">
|
|
||||||
|
|
||||||
На каждом шаге вычисляются оценки полученной зависимости.
|
|
||||||
|
|
||||||
***Остаточная дисперсия масштабированная*** показывает, какая часть статистического материала не была охвачена полученной зависимостью.
|
|
||||||
|
|
||||||
<image src="files/Формула 6.PNG">
|
|
||||||
|
|
||||||
***Отношение Фишера*** (F1) показывает во сколько раз полученная зависимость лучше полинома y=yср, где yср – математическое ожидание y.
|
|
||||||
|
|
||||||
<image src="files/Формула 7.PNG">
|
|
||||||
|
|
||||||
***Коэффициент множественной детерминации*** (R) характеризует степень близости полученной зависимости к реальному поведению объекта.
|
|
||||||
|
|
||||||
<image src="files/Формула 8.PNG">
|
|
||||||
|
|
||||||
Механизм процедуры ***каскадного регрессионного анализа***.
|
|
||||||
|
|
||||||
На 1-м шаге анализа строится модель, которая включает все ***факторы***. Далее производится исключение ***фактора*** tj с наименьшим по модулю значением ***коэффициента значимости*** и строится новая модель. Если оценки модели ухудшились, то ***каскадная процедура исключения факторов*** останавливается и лучшей считается модель, полученная на предыдущем шаге. Иначе исключение ***факторов*** продолжается до тех пор, пока не ухудшатся оценки модели либо пока для всех ***факторов*** будет выполняться условие.
|
|
||||||
|
|
||||||
## Начало работы
|
## Начало работы
|
||||||
|
|
||||||
|
|||||||
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@ -51,6 +51,10 @@ class MainWindow(QMainWindow):
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addIcon(self)
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addIcon(self)
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self.ui.generateXaction.setEnabled(False)
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self.ui.varianceAnalysisAction.setEnabled(False)
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self.ui.correlationAnalisisAction.setEnabled(False)
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self.mainActions = [
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self.mainActions = [
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self.ui.varianceAnalysisAction,
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self.ui.varianceAnalysisAction,
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self.ui.correlationAnalisisAction,
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self.ui.correlationAnalisisAction,
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@ -108,22 +112,13 @@ class MainWindow(QMainWindow):
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# есть только отклик
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# есть только отклик
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if data.shape[1] == 1:
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if data.shape[1] == 1:
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self.ui.generateXaction.setEnabled(True)
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self.ui.generateXaction.setEnabled(True)
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self.ui.uniformDistributionAction.setEnabled(True)
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self.ui.normalDistributionAction.setEnabled(True)
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self.ui.exponentialDistributionAction.setEnabled(True)
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self.setEnabledMainActions(False)
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self.setEnabledMainActions(False)
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# есть отклик и фактор(ы)
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# есть отклик и фактор(ы)
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elif data.shape[1] > 1:
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elif data.shape[1] > 1:
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self.ui.generateXaction.setEnabled(True)
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self.ui.generateXaction.setEnabled(True)
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self.ui.uniformDistributionAction.setEnabled(True)
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self.ui.normalDistributionAction.setEnabled(True)
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self.ui.exponentialDistributionAction.setEnabled(True)
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self.setEnabledMainActions(True)
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self.setEnabledMainActions(True)
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else:
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else:
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self.ui.generateXaction.setEnabled(False)
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self.ui.generateXaction.setEnabled(False)
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self.ui.uniformDistributionAction.setEnabled(False)
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self.ui.normalDistributionAction.setEnabled(False)
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self.ui.exponentialDistributionAction.setEnabled(False)
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self.setEnabledMainActions(False)
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self.setEnabledMainActions(False)
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@ -28,7 +28,7 @@ class RegressionResultModel(ROTableModel):
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self._monomials = result.monomials
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self._monomials = result.monomials
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def getHorizontalHeader(self):
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def getHorizontalHeader(self):
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return ['Коэффициент регрессии', 'Коэффициент значимости', 'Весовые коэффициенты']
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return ['Коэффициент регрессии', 'Коэффициент значимости']
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def getVerticalHeader(self):
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def getVerticalHeader(self):
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return self._monomials
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return self._monomials
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@ -58,7 +58,7 @@ class PolynomWindow(QDialog):
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self.ui.residualVarianceValueLabel.setText(str(result.residualVariance))
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self.ui.residualVarianceValueLabel.setText(str(result.residualVariance))
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self.ui.scaledResidualVarianceValueLabel.setText(str(result.scaledResidualVariance))
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self.ui.scaledResidualVarianceValueLabel.setText(str(result.scaledResidualVariance))
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self.ui.fStatisticValueLabel.setText(str(result.fStatistic))
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self.ui.fStatisticValueLabel.setText(str(result.fStatistic))
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self.ui.rSquaredValueLabel.setText(str(result.rSquared))
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self.ui.rSquaredValueLabel.setText(str(result.scaledResidualVariance))
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predictionResult = prediction(data, result)
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predictionResult = prediction(data, result)
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@ -81,7 +81,7 @@ class TransformPolynomWindow(QDialog):
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self.ui.residualVarianceValueLabel.setText(str(result.residualVariance))
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self.ui.residualVarianceValueLabel.setText(str(result.residualVariance))
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self.ui.scaledResidualVarianceValueLabel.setText(str(result.scaledResidualVariance))
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self.ui.scaledResidualVarianceValueLabel.setText(str(result.scaledResidualVariance))
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self.ui.fStatisticValueLabel.setText(str(result.fStatistic))
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self.ui.fStatisticValueLabel.setText(str(result.fStatistic))
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self.ui.rSquaredValueLabel.setText(str(result.rSquared))
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self.ui.rSquaredValueLabel.setText(str(result.scaledResidualVariance))
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self.model.dataChanged.connect(self.on_data_changed)
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self.model.dataChanged.connect(self.on_data_changed)
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@ -116,4 +116,4 @@ class TransformPolynomWindow(QDialog):
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self.ui.residualVarianceValueLabel.setText(str(result.residualVariance))
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self.ui.residualVarianceValueLabel.setText(str(result.residualVariance))
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self.ui.scaledResidualVarianceValueLabel.setText(str(result.scaledResidualVariance))
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self.ui.scaledResidualVarianceValueLabel.setText(str(result.scaledResidualVariance))
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self.ui.fStatisticValueLabel.setText(str(result.fStatistic))
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self.ui.fStatisticValueLabel.setText(str(result.fStatistic))
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self.ui.rSquaredValueLabel.setText(str(result.rSquared))
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self.ui.rSquaredValueLabel.setText(str(result.scaledResidualVariance))
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@ -17,7 +17,6 @@
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# You should have received a copy of the GNU General Public License
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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#
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import logging
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import os
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import os
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import sys
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import sys
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@ -72,11 +71,8 @@ def onError(errorName: Exception):
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QMessageBox.Ok,
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QMessageBox.Ok,
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QMessageBox.Ok)
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QMessageBox.Ok)
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logging.exception(errorName)
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msgBox.exec_()
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msgBox.exec_()
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class FloatDelegate(QStyledItemDelegate):
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class FloatDelegate(QStyledItemDelegate):
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def __init__(self, parent=None):
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def __init__(self, parent=None):
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QStyledItemDelegate.__init__(self, parent=parent)
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QStyledItemDelegate.__init__(self, parent=parent)
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Loading…
Reference in New Issue
Block a user