Add examples for Lec4
This commit is contained in:
parent
7368833434
commit
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.gitignore
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@ -276,4 +276,4 @@ cython_debug/
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node_modules/
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node_modules/
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data/aa-domestic-delays-2018.csv.zip
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data/aa-domestic-delays-2018.csv.zip
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data/aa-domestic-delays-2018.csv/
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data/aa-domestic-delays-2018.csv
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3413
lec4.ipynb
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3413
lec4.ipynb
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446
poetry.lock
generated
446
poetry.lock
generated
@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
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# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
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||||||
[[package]]
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[[package]]
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name = "anyio"
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name = "anyio"
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@ -624,23 +624,6 @@ files = [
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[package.extras]
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[package.extras]
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devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
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devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
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[[package]]
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||||||
name = "filelock"
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version = "3.18.0"
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||||||
description = "A platform independent file lock."
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optional = false
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||||||
python-versions = ">=3.9"
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groups = ["main"]
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files = [
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{file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
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{file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
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]
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[package.extras]
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docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
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testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
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typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
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[[package]]
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[[package]]
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name = "fonttools"
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name = "fonttools"
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version = "4.56.0"
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version = "4.56.0"
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@ -727,46 +710,6 @@ files = [
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{file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
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{file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
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]
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]
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[[package]]
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name = "fsspec"
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version = "2025.3.0"
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description = "File-system specification"
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optional = false
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python-versions = ">=3.8"
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groups = ["main"]
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files = [
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{file = "fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3"},
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{file = "fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972"},
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]
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[package.extras]
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abfs = ["adlfs"]
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adl = ["adlfs"]
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arrow = ["pyarrow (>=1)"]
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dask = ["dask", "distributed"]
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dev = ["pre-commit", "ruff"]
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doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
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dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
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fuse = ["fusepy"]
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gcs = ["gcsfs"]
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git = ["pygit2"]
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github = ["requests"]
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gs = ["gcsfs"]
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gui = ["panel"]
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hdfs = ["pyarrow (>=1)"]
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http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
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libarchive = ["libarchive-c"]
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oci = ["ocifs"]
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s3 = ["s3fs"]
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sftp = ["paramiko"]
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smb = ["smbprotocol"]
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ssh = ["paramiko"]
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test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
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test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
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test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
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tqdm = ["tqdm"]
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[[package]]
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[[package]]
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name = "h11"
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name = "h11"
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version = "0.14.0"
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version = "0.14.0"
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@ -1444,29 +1387,6 @@ files = [
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{file = "kiwisolver-1.4.8.tar.gz", hash = "sha256:23d5f023bdc8c7e54eb65f03ca5d5bb25b601eac4d7f1a042888a1f45237987e"},
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{file = "kiwisolver-1.4.8.tar.gz", hash = "sha256:23d5f023bdc8c7e54eb65f03ca5d5bb25b601eac4d7f1a042888a1f45237987e"},
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]
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]
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[[package]]
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name = "machine-learning-datasets"
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version = "0.1.23"
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description = "A simple library for loading machine learning datasets and performing some common machine learning interpretation functions. Built for the book \"Interpretable Machine Learning with Python, 2E\"."
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optional = false
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python-versions = ">=3.9,<3.13"
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groups = ["main"]
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files = [
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{file = "machine_learning_datasets-0.1.23-py3-none-any.whl", hash = "sha256:0af33f197e8bc6451b00f25c22d260a909ae5f93d79395762dc049bfe155e0f6"},
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{file = "machine_learning_datasets-0.1.23.tar.gz", hash = "sha256:9e27cdec597718e659658e95401e8efc2381ee8ea0997fe6539b13cbec227dca"},
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]
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[package.dependencies]
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matplotlib = ">=3.7.1,<4.0.0"
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numpy = ">=1.23.5,<2.0.0"
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opencv-python = ">=4.5.1,<5.0.0"
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pandas = ">=1.5.3,<2.0.0"
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requests = ">=2.31.0"
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scikit-learn = ">=1.2.2,<2.0.0"
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scipy = ">=1.11.3,<2.0.0"
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seaborn = ">=0.12.2,<0.13.0"
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torchvision = ">=0.16.0,<0.17.0"
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[[package]]
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[[package]]
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name = "markupsafe"
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name = "markupsafe"
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version = "3.0.2"
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version = "3.0.2"
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@ -1647,24 +1567,6 @@ scipy = ">=1.2.1"
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docs = ["mkdocs", "mkdocs-bootswatch", "nbconvert", "python-markdown-math"]
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docs = ["mkdocs", "mkdocs-bootswatch", "nbconvert", "python-markdown-math"]
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testing = ["pytest"]
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testing = ["pytest"]
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[[package]]
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name = "mpmath"
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version = "1.3.0"
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description = "Python library for arbitrary-precision floating-point arithmetic"
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optional = false
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python-versions = "*"
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groups = ["main"]
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files = [
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{file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
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||||||
{file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
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]
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[package.extras]
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develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
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docs = ["sphinx"]
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gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
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tests = ["pytest (>=4.6)"]
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[[package]]
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[[package]]
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name = "nbclient"
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name = "nbclient"
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version = "0.10.2"
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version = "0.10.2"
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@ -1759,26 +1661,6 @@ files = [
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{file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
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{file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
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||||||
]
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]
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||||||
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[[package]]
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name = "networkx"
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version = "3.4.2"
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description = "Python package for creating and manipulating graphs and networks"
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optional = false
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||||||
python-versions = ">=3.10"
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||||||
groups = ["main"]
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||||||
files = [
|
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||||||
{file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"},
|
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||||||
{file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
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||||||
]
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||||||
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||||||
[package.extras]
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default = ["matplotlib (>=3.7)", "numpy (>=1.24)", "pandas (>=2.0)", "scipy (>=1.10,!=1.11.0,!=1.11.1)"]
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developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
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||||||
doc = ["intersphinx-registry", "myst-nb (>=1.1)", "numpydoc (>=1.8.0)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.15)", "sphinx (>=7.3)", "sphinx-gallery (>=0.16)", "texext (>=0.6.7)"]
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||||||
example = ["cairocffi (>=1.7)", "contextily (>=1.6)", "igraph (>=0.11)", "momepy (>=0.7.2)", "osmnx (>=1.9)", "scikit-learn (>=1.5)", "seaborn (>=0.13)"]
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extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
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test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
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[[package]]
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[[package]]
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name = "notebook"
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name = "notebook"
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version = "7.3.3"
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version = "7.3.3"
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@ -1867,192 +1749,6 @@ files = [
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{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
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{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
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||||||
]
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]
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[[package]]
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name = "nvidia-cublas-cu12"
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version = "12.1.3.1"
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description = "CUBLAS native runtime libraries"
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optional = false
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python-versions = ">=3"
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groups = ["main"]
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||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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||||||
files = [
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||||||
{file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
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||||||
{file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
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||||||
]
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||||||
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||||||
[[package]]
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name = "nvidia-cuda-cupti-cu12"
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version = "12.1.105"
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description = "CUDA profiling tools runtime libs."
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optional = false
|
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||||||
python-versions = ">=3"
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||||||
groups = ["main"]
|
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||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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||||||
files = [
|
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||||||
{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
|
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||||||
{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
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||||||
]
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[[package]]
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name = "nvidia-cuda-nvrtc-cu12"
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version = "12.1.105"
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description = "NVRTC native runtime libraries"
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optional = false
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python-versions = ">=3"
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groups = ["main"]
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markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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files = [
|
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||||||
{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
|
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||||||
{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
|
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||||||
]
|
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||||||
[[package]]
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name = "nvidia-cuda-runtime-cu12"
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version = "12.1.105"
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||||||
description = "CUDA Runtime native Libraries"
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||||||
optional = false
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||||||
python-versions = ">=3"
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||||||
groups = ["main"]
|
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||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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||||||
files = [
|
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||||||
{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
|
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||||||
{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
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||||||
]
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||||||
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[[package]]
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name = "nvidia-cudnn-cu12"
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version = "8.9.2.26"
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description = "cuDNN runtime libraries"
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optional = false
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python-versions = ">=3"
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groups = ["main"]
|
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||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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||||||
files = [
|
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||||||
{file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
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||||||
]
|
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||||||
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||||||
[package.dependencies]
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||||||
nvidia-cublas-cu12 = "*"
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||||||
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||||||
[[package]]
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||||||
name = "nvidia-cufft-cu12"
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||||||
version = "11.0.2.54"
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||||||
description = "CUFFT native runtime libraries"
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optional = false
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||||||
python-versions = ">=3"
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||||||
groups = ["main"]
|
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||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
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||||||
files = [
|
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||||||
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
|
|
||||||
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "nvidia-curand-cu12"
|
|
||||||
version = "10.3.2.106"
|
|
||||||
description = "CURAND native runtime libraries"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
|
|
||||||
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "nvidia-cusolver-cu12"
|
|
||||||
version = "11.4.5.107"
|
|
||||||
description = "CUDA solver native runtime libraries"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
|
|
||||||
{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
nvidia-cublas-cu12 = "*"
|
|
||||||
nvidia-cusparse-cu12 = "*"
|
|
||||||
nvidia-nvjitlink-cu12 = "*"
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "nvidia-cusparse-cu12"
|
|
||||||
version = "12.1.0.106"
|
|
||||||
description = "CUSPARSE native runtime libraries"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
|
|
||||||
{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
nvidia-nvjitlink-cu12 = "*"
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "nvidia-nccl-cu12"
|
|
||||||
version = "2.18.1"
|
|
||||||
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:1a6c4acefcbebfa6de320f412bf7866de856e786e0462326ba1bac40de0b5e71"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "nvidia-nvjitlink-cu12"
|
|
||||||
version = "12.8.93"
|
|
||||||
description = "Nvidia JIT LTO Library"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"},
|
|
||||||
{file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"},
|
|
||||||
{file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "nvidia-nvtx-cu12"
|
|
||||||
version = "12.1.105"
|
|
||||||
description = "NVIDIA Tools Extension"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
|
|
||||||
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "opencv-python"
|
|
||||||
version = "4.11.0.86"
|
|
||||||
description = "Wrapper package for OpenCV python bindings."
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.6"
|
|
||||||
groups = ["main"]
|
|
||||||
files = [
|
|
||||||
{file = "opencv-python-4.11.0.86.tar.gz", hash = "sha256:03d60ccae62304860d232272e4a4fda93c39d595780cb40b161b310244b736a4"},
|
|
||||||
{file = "opencv_python-4.11.0.86-cp37-abi3-macosx_13_0_arm64.whl", hash = "sha256:432f67c223f1dc2824f5e73cdfcd9db0efc8710647d4e813012195dc9122a52a"},
|
|
||||||
{file = "opencv_python-4.11.0.86-cp37-abi3-macosx_13_0_x86_64.whl", hash = "sha256:9d05ef13d23fe97f575153558653e2d6e87103995d54e6a35db3f282fe1f9c66"},
|
|
||||||
{file = "opencv_python-4.11.0.86-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b92ae2c8852208817e6776ba1ea0d6b1e0a1b5431e971a2a0ddd2a8cc398202"},
|
|
||||||
{file = "opencv_python-4.11.0.86-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b02611523803495003bd87362db3e1d2a0454a6a63025dc6658a9830570aa0d"},
|
|
||||||
{file = "opencv_python-4.11.0.86-cp37-abi3-win32.whl", hash = "sha256:810549cb2a4aedaa84ad9a1c92fbfdfc14090e2749cedf2c1589ad8359aa169b"},
|
|
||||||
{file = "opencv_python-4.11.0.86-cp37-abi3-win_amd64.whl", hash = "sha256:085ad9b77c18853ea66283e98affefe2de8cc4c1f43eda4c100cf9b2721142ec"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
numpy = {version = ">=1.23.5", markers = "python_version >= \"3.11\""}
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "overrides"
|
name = "overrides"
|
||||||
version = "7.7.0"
|
version = "7.7.0"
|
||||||
@ -3147,24 +2843,6 @@ build = ["cython (>=3.0.10)"]
|
|||||||
develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty ; os_name == \"nt\"", "setuptools-scm[toml] (>=8.0,<9.0)"]
|
develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty ; os_name == \"nt\"", "setuptools-scm[toml] (>=8.0,<9.0)"]
|
||||||
docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
|
docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "sympy"
|
|
||||||
version = "1.13.3"
|
|
||||||
description = "Computer algebra system (CAS) in Python"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
|
|
||||||
groups = ["main"]
|
|
||||||
files = [
|
|
||||||
{file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
|
|
||||||
{file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
mpmath = ">=1.1.0,<1.4"
|
|
||||||
|
|
||||||
[package.extras]
|
|
||||||
dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "terminado"
|
name = "terminado"
|
||||||
version = "0.18.1"
|
version = "0.18.1"
|
||||||
@ -3218,99 +2896,6 @@ webencodings = ">=0.4"
|
|||||||
doc = ["sphinx", "sphinx_rtd_theme"]
|
doc = ["sphinx", "sphinx_rtd_theme"]
|
||||||
test = ["pytest", "ruff"]
|
test = ["pytest", "ruff"]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "torch"
|
|
||||||
version = "2.1.2"
|
|
||||||
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8.0"
|
|
||||||
groups = ["main"]
|
|
||||||
files = [
|
|
||||||
{file = "torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:3a871edd6c02dae77ad810335c0833391c1a4ce49af21ea8cf0f6a5d2096eea8"},
|
|
||||||
{file = "torch-2.1.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:bef6996c27d8f6e92ea4e13a772d89611da0e103b48790de78131e308cf73076"},
|
|
||||||
{file = "torch-2.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:0e13034fd5fb323cbbc29e56d0637a3791e50dd589616f40c79adfa36a5a35a1"},
|
|
||||||
{file = "torch-2.1.2-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:d9b535cad0df3d13997dbe8bd68ac33e0e3ae5377639c9881948e40794a61403"},
|
|
||||||
{file = "torch-2.1.2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:f9a55d55af02826ebfbadf4e9b682f0f27766bc33df8236b48d28d705587868f"},
|
|
||||||
{file = "torch-2.1.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:a6ebbe517097ef289cc7952783588c72de071d4b15ce0f8b285093f0916b1162"},
|
|
||||||
{file = "torch-2.1.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:8f32ce591616a30304f37a7d5ea80b69ca9e1b94bba7f308184bf616fdaea155"},
|
|
||||||
{file = "torch-2.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:e0ee6cf90c8970e05760f898d58f9ac65821c37ffe8b04269ec787aa70962b69"},
|
|
||||||
{file = "torch-2.1.2-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:76d37967c31c99548ad2c4d3f2cf191db48476f2e69b35a0937137116da356a1"},
|
|
||||||
{file = "torch-2.1.2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:e2d83f07b4aac983453ea5bf8f9aa9dacf2278a8d31247f5d9037f37befc60e4"},
|
|
||||||
{file = "torch-2.1.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:f41fe0c7ecbf903a568c73486139a75cfab287a0f6c17ed0698fdea7a1e8641d"},
|
|
||||||
{file = "torch-2.1.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e3225f47d50bb66f756fe9196a768055d1c26b02154eb1f770ce47a2578d3aa7"},
|
|
||||||
{file = "torch-2.1.2-cp38-cp38-win_amd64.whl", hash = "sha256:33d59cd03cb60106857f6c26b36457793637512998666ee3ce17311f217afe2b"},
|
|
||||||
{file = "torch-2.1.2-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:8e221deccd0def6c2badff6be403e0c53491805ed9915e2c029adbcdb87ab6b5"},
|
|
||||||
{file = "torch-2.1.2-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:05b18594f60a911a0c4f023f38a8bda77131fba5fd741bda626e97dcf5a3dd0a"},
|
|
||||||
{file = "torch-2.1.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:9ca96253b761e9aaf8e06fb30a66ee301aecbf15bb5a303097de1969077620b6"},
|
|
||||||
{file = "torch-2.1.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d93ba70f67b08c2ae5598ee711cbc546a1bc8102cef938904b8c85c2089a51a0"},
|
|
||||||
{file = "torch-2.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:255b50bc0608db177e6a3cc118961d77de7e5105f07816585fa6f191f33a9ff3"},
|
|
||||||
{file = "torch-2.1.2-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:6984cd5057c0c977b3c9757254e989d3f1124f4ce9d07caa6cb637783c71d42a"},
|
|
||||||
{file = "torch-2.1.2-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:bc195d7927feabc0eb7c110e457c955ed2ab616f3c7c28439dd4188cf589699f"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
filelock = "*"
|
|
||||||
fsspec = "*"
|
|
||||||
jinja2 = "*"
|
|
||||||
networkx = "*"
|
|
||||||
nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
sympy = "*"
|
|
||||||
triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
||||||
typing-extensions = "*"
|
|
||||||
|
|
||||||
[package.extras]
|
|
||||||
dynamo = ["jinja2"]
|
|
||||||
opt-einsum = ["opt-einsum (>=3.3)"]
|
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "torchvision"
|
|
||||||
version = "0.16.2"
|
|
||||||
description = "image and video datasets and models for torch deep learning"
|
|
||||||
optional = false
|
|
||||||
python-versions = ">=3.8"
|
|
||||||
groups = ["main"]
|
|
||||||
files = [
|
|
||||||
{file = "torchvision-0.16.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:bc86f2800cb2c0c1a09c581409cdd6bff66e62f103dc83fc63f73346264c3756"},
|
|
||||||
{file = "torchvision-0.16.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b024bd412df6d3a007dcebf311a894eb3c5c21e1af80d12be382bbcb097a7c3a"},
|
|
||||||
{file = "torchvision-0.16.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:e89f10f3c8351972b6e3fda95bc3e479ea8dbfc9dfcfd2c32902dbad4ba5cfc5"},
|
|
||||||
{file = "torchvision-0.16.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:96c7583700112a410bdc4e1e4f118c429dab49c29c9a31a2cc3579bc9b08b19d"},
|
|
||||||
{file = "torchvision-0.16.2-cp310-cp310-win_amd64.whl", hash = "sha256:9f4032ebb3277fb07ff6a9b818d50a547fb8fcd89d958cfd9e773322454bb688"},
|
|
||||||
{file = "torchvision-0.16.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:67b1aaf8b8cb02ce75dd445f291a27c8036a502f8c0aa76e28c37a0faac2e153"},
|
|
||||||
{file = "torchvision-0.16.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bef30d03e1d1c629761f4dca51d3b7d8a0dc0acce6f4068ab2a1634e8e7b64e0"},
|
|
||||||
{file = "torchvision-0.16.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:e59cc7b2bd1ab5c0ce4ae382e4e37be8f1c174e8b5de2f6a23c170de9ae28495"},
|
|
||||||
{file = "torchvision-0.16.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:e130b08cc9b3cc73a6c59d6edf032394a322f9579bfd21d14bc2e1d0999aa758"},
|
|
||||||
{file = "torchvision-0.16.2-cp311-cp311-win_amd64.whl", hash = "sha256:8692ab1e48807e9604046a6f4beeb67b523294cee1b00828654bb0df2cfce2b2"},
|
|
||||||
{file = "torchvision-0.16.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:b82732dcf876a37c852772342aa6ee3480c03bb3e2a802ae109fc5f7e28d26e9"},
|
|
||||||
{file = "torchvision-0.16.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4b065143d1a720fe8a9077fd4be35d491f98819ec80b3dbbc3ec64d0b707a906"},
|
|
||||||
{file = "torchvision-0.16.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:bc5f274e4ecd1b86062063cdf4fd385a1d39d147a3a2685fbbde9ff08bb720b8"},
|
|
||||||
{file = "torchvision-0.16.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:335959c43b371c0474af34c1ef2a52efdc7603c45700d29e4475eeb02984170c"},
|
|
||||||
{file = "torchvision-0.16.2-cp38-cp38-win_amd64.whl", hash = "sha256:7fd22d86e08eba321af70cad291020c2cdeac069b00ce88b923ca52e06174769"},
|
|
||||||
{file = "torchvision-0.16.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:56115268b37f0b75364e3654e47ad9abc66ac34c1f9e5e3dfa89a22d6a40017a"},
|
|
||||||
{file = "torchvision-0.16.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:82805f8445b094f9d1e770390ee6cc86855e89955e08ce34af2e2274fc0e5c45"},
|
|
||||||
{file = "torchvision-0.16.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:3f4bd5fcbc361476e2e78016636ac7d5509e59d9962521f06eb98e6803898182"},
|
|
||||||
{file = "torchvision-0.16.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:8199acdf8ab066a28b84a5b6f4d97b58976d9e164b1acc3a9d14fccfaf74bb3a"},
|
|
||||||
{file = "torchvision-0.16.2-cp39-cp39-win_amd64.whl", hash = "sha256:41dd4fa9f176d563fe9f1b9adef3b7e582cdfb60ce8c9bc51b094a025be687c9"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
numpy = "*"
|
|
||||||
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
|
|
||||||
requests = "*"
|
|
||||||
torch = "2.1.2"
|
|
||||||
|
|
||||||
[package.extras]
|
|
||||||
scipy = ["scipy"]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "tornado"
|
name = "tornado"
|
||||||
version = "6.4.2"
|
version = "6.4.2"
|
||||||
@ -3348,33 +2933,6 @@ files = [
|
|||||||
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
|
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
|
||||||
test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
|
test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
|
||||||
|
|
||||||
[[package]]
|
|
||||||
name = "triton"
|
|
||||||
version = "2.1.0"
|
|
||||||
description = "A language and compiler for custom Deep Learning operations"
|
|
||||||
optional = false
|
|
||||||
python-versions = "*"
|
|
||||||
groups = ["main"]
|
|
||||||
markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""
|
|
||||||
files = [
|
|
||||||
{file = "triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:66439923a30d5d48399b08a9eae10370f6c261a5ec864a64983bae63152d39d7"},
|
|
||||||
{file = "triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:919b06453f0033ea52c13eaf7833de0e57db3178d23d4e04f9fc71c4f2c32bf8"},
|
|
||||||
{file = "triton-2.1.0-0-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ae4bb8a91de790e1866405211c4d618379781188f40d5c4c399766914e84cd94"},
|
|
||||||
{file = "triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:39f6fb6bdccb3e98f3152e3fbea724f1aeae7d749412bbb1fa9c441d474eba26"},
|
|
||||||
{file = "triton-2.1.0-0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:21544e522c02005a626c8ad63d39bdff2f31d41069592919ef281e964ed26446"},
|
|
||||||
{file = "triton-2.1.0-0-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:143582ca31dd89cd982bd3bf53666bab1c7527d41e185f9e3d8a3051ce1b663b"},
|
|
||||||
{file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
|
|
||||||
{file = "triton-2.1.0-0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:81a96d110a738ff63339fc892ded095b31bd0d205e3aace262af8400d40b6fa8"},
|
|
||||||
]
|
|
||||||
|
|
||||||
[package.dependencies]
|
|
||||||
filelock = "*"
|
|
||||||
|
|
||||||
[package.extras]
|
|
||||||
build = ["cmake (>=3.18)", "lit"]
|
|
||||||
tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
|
|
||||||
tutorials = ["matplotlib", "pandas", "tabulate"]
|
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "types-python-dateutil"
|
name = "types-python-dateutil"
|
||||||
version = "2.9.0.20241206"
|
version = "2.9.0.20241206"
|
||||||
@ -3500,4 +3058,4 @@ files = [
|
|||||||
[metadata]
|
[metadata]
|
||||||
lock-version = "2.1"
|
lock-version = "2.1"
|
||||||
python-versions = ">=3.11,<3.12"
|
python-versions = ">=3.11,<3.12"
|
||||||
content-hash = "2cec5dd5e3b848faf739f79116a9720df2e37d7ead5b32e2f4242d31a0087d25"
|
content-hash = "99801b0ad912851f8cd3d6b085b7210017cc1b5dcf58785869a72db48f6b7fea"
|
||||||
|
|||||||
@ -17,9 +17,9 @@ numpy = "^1.26.4"
|
|||||||
pandas = "^1.5.3"
|
pandas = "^1.5.3"
|
||||||
scikit-learn = "^1.6.1"
|
scikit-learn = "^1.6.1"
|
||||||
matplotlib= "^3.10.1"
|
matplotlib= "^3.10.1"
|
||||||
machine-learning-datasets = "^0.1.23"
|
|
||||||
statsmodels = "^0.14.4"
|
statsmodels = "^0.14.4"
|
||||||
mlxtend = "^0.23.4"
|
mlxtend = "^0.23.4"
|
||||||
|
seaborn = "^0.12.2"
|
||||||
|
|
||||||
[build-system]
|
[build-system]
|
||||||
requires = ["poetry-core"]
|
requires = ["poetry-core"]
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user