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@ -1095,68 +1095,82 @@ files = [
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[[package]]
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name = "numpy"
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version = "2.2.2"
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version = "2.2.3"
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description = "Fundamental package for array computing in Python"
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optional = false
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python-versions = ">=3.10"
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files = [
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{file = "numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ec6c689c61df613b783aeb21f945c4cbe6c51c28cb70aae8430577ab39f163e"},
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{file = "numpy-2.2.2-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:40c7ff5da22cd391944a28c6a9c638a5eef77fcf71d6e3a79e1d9d9e82752715"},
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{file = "numpy-2.2.3-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:ed2cf9ed4e8ebc3b754d398cba12f24359f018b416c380f577bbae112ca52fc9"},
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{file = "numpy-2.2.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39261798d208c3095ae4f7bc8eaeb3481ea8c6e03dc48028057d3cbdbdb8937e"},
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{file = "numpy-2.2.3.tar.gz", hash = "sha256:dbdc15f0c81611925f382dfa97b3bd0bc2c1ce19d4fe50482cb0ddc12ba30020"},
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]
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[[package]]
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|
name = "numpy-financial"
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|
version = "1.0.0"
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description = "Simple financial functions"
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optional = false
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python-versions = ">=3.5"
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files = [
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{file = "numpy-financial-1.0.0.tar.gz", hash = "sha256:f84341bc62b2485d5604a73d5fac7e91975b4b9cd5f4a5a9cf608902ea00cb40"},
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{file = "numpy_financial-1.0.0-py3-none-any.whl", hash = "sha256:bae534b357516f12258862d1f0181d911032d0467f215bfcd1c264b4da579047"},
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]
|
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[package.dependencies]
|
|
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|
|
numpy = ">=1.15"
|
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[[package]]
|
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name = "openpyxl"
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version = "3.1.5"
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@ -1182,6 +1196,109 @@ files = [
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{file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
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]
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[[package]]
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|
name = "pandas"
|
|
|
|
|
version = "2.2.3"
|
|
|
|
|
description = "Powerful data structures for data analysis, time series, and statistics"
|
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|
|
optional = false
|
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|
|
python-versions = ">=3.9"
|
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|
|
files = [
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{file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
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{file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
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{file = "pandas-2.2.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d9c45366def9a3dd85a6454c0e7908f2b3b8e9c138f5dc38fed7ce720d8453ed"},
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{file = "pandas-2.2.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:37e0aced3e8f539eccf2e099f65cdb9c8aa85109b0be6e93e2baff94264bdc6f"},
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{file = "pandas-2.2.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:15c0e1e02e93116177d29ff83e8b1619c93ddc9c49083f237d4312337a61165d"},
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{file = "pandas-2.2.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a"},
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{file = "pandas-2.2.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5dbca4c1acd72e8eeef4753eeca07de9b1db4f398669d5994086f788a5d7cc30"},
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{file = "pandas-2.2.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8cd6d7cc958a3910f934ea8dbdf17b2364827bb4dafc38ce6eef6bb3d65ff09c"},
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{file = "pandas-2.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99df71520d25fade9db7c1076ac94eb994f4d2673ef2aa2e86ee039b6746d20c"},
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{file = "pandas-2.2.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:31d0ced62d4ea3e231a9f228366919a5ea0b07440d9d4dac345376fd8e1477ea"},
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{file = "pandas-2.2.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7eee9e7cea6adf3e3d24e304ac6b8300646e2a5d1cd3a3c2abed9101b0846761"},
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{file = "pandas-2.2.3-cp39-cp39-win_amd64.whl", hash = "sha256:4850ba03528b6dd51d6c5d273c46f183f39a9baf3f0143e566b89450965b105e"},
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{file = "pandas-2.2.3.tar.gz", hash = "sha256:4f18ba62b61d7e192368b84517265a99b4d7ee8912f8708660fb4a366cc82667"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = [
|
|
|
|
|
{version = ">=1.22.4", markers = "python_version < \"3.11\""},
|
|
|
|
|
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
|
|
|
|
|
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
|
|
|
|
|
]
|
|
|
|
|
python-dateutil = ">=2.8.2"
|
|
|
|
|
pytz = ">=2020.1"
|
|
|
|
|
tzdata = ">=2022.7"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
|
|
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|
aws = ["s3fs (>=2022.11.0)"]
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|
clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
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|
compression = ["zstandard (>=0.19.0)"]
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|
computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
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consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
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|
excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
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feather = ["pyarrow (>=10.0.1)"]
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fss = ["fsspec (>=2022.11.0)"]
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|
gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
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hdf5 = ["tables (>=3.8.0)"]
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html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
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mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
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|
output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
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parquet = ["pyarrow (>=10.0.1)"]
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performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
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|
plot = ["matplotlib (>=3.6.3)"]
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|
postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
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pyarrow = ["pyarrow (>=10.0.1)"]
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|
spss = ["pyreadstat (>=1.2.0)"]
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|
sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
|
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|
test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
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|
xml = ["lxml (>=4.9.2)"]
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[[package]]
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|
name = "patsy"
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|
version = "1.0.1"
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|
description = "A Python package for describing statistical models and for building design matrices."
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|
optional = false
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|
python-versions = ">=3.6"
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|
files = [
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|
{file = "patsy-1.0.1-py2.py3-none-any.whl", hash = "sha256:751fb38f9e97e62312e921a1954b81e1bb2bcda4f5eeabaf94db251ee791509c"},
|
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|
{file = "patsy-1.0.1.tar.gz", hash = "sha256:e786a9391eec818c054e359b737bbce692f051aee4c661f4141cc88fb459c0c4"},
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]
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[package.dependencies]
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|
|
numpy = ">=1.4"
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|
[package.extras]
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|
|
test = ["pytest", "pytest-cov", "scipy"]
|
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|
[[package]]
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|
name = "pillow"
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|
version = "11.1.0"
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@ -2032,6 +2149,57 @@ anyio = ">=3.6.2,<5"
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|
[package.extras]
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|
|
full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
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|
[[package]]
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|
name = "statsmodels"
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|
|
|
|
version = "0.14.4"
|
|
|
|
|
description = "Statistical computations and models for Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.9"
|
|
|
|
|
files = [
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|
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|
{file = "statsmodels-0.14.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7a62f1fc9086e4b7ee789a6f66b3c0fc82dd8de1edda1522d30901a0aa45e42b"},
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{file = "statsmodels-0.14.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:46ac7ddefac0c9b7b607eed1d47d11e26fe92a1bc1f4d9af48aeed4e21e87981"},
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{file = "statsmodels-0.14.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:631bb52159117c5da42ba94bd94859276b68cab25dc4cac86475bc24671143bc"},
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{file = "statsmodels-0.14.4-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3bb2e580d382545a65f298589809af29daeb15f9da2eb252af8f79693e618abc"},
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{file = "statsmodels-0.14.4-cp310-cp310-win_amd64.whl", hash = "sha256:9729642884147ee9db67b5a06a355890663d21f76ed608a56ac2ad98b94d201a"},
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{file = "statsmodels-0.14.4-cp311-cp311-win_amd64.whl", hash = "sha256:a6087ecb0714f7c59eb24c22781491e6f1cfffb660b4740e167625ca4f052056"},
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{file = "statsmodels-0.14.4-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5221dba7424cf4f2561b22e9081de85f5bb871228581124a0d1b572708545199"},
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{file = "statsmodels-0.14.4-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:bb695c2025d122a101c2aca66d2b78813c321b60d3a7c86bb8ec4467bb53b0f9"},
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{file = "statsmodels-0.14.4-cp312-cp312-win_amd64.whl", hash = "sha256:7f7917a51766b4e074da283c507a25048ad29a18e527207883d73535e0dc6184"},
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{file = "statsmodels-0.14.4-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:b5a24f5d2c22852d807d2b42daf3a61740820b28d8381daaf59dcb7055bf1a79"},
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{file = "statsmodels-0.14.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:df4f7864606fa843d7e7c0e6af288f034a2160dba14e6ccc09020a3cf67cb092"},
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{file = "statsmodels-0.14.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:91341cbde9e8bea5fb419a76e09114e221567d03f34ca26e6d67ae2c27d8fe3c"},
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{file = "statsmodels-0.14.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1322286a7bfdde2790bf72d29698a1b76c20b8423a55bdcd0d457969d0041f72"},
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{file = "statsmodels-0.14.4-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e31b95ac603415887c9f0d344cb523889cf779bc52d68e27e2d23c358958fec7"},
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{file = "statsmodels-0.14.4-cp313-cp313-win_amd64.whl", hash = "sha256:81030108d27aecc7995cac05aa280cf8c6025f6a6119894eef648997936c2dd0"},
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{file = "statsmodels-0.14.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4793b01b7a5f5424f5a1dbcefc614c83c7608aa2b035f087538253007c339d5d"},
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{file = "statsmodels-0.14.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d330da34f59f1653c5193f9fe3a3a258977c880746db7f155fc33713ea858db5"},
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{file = "statsmodels-0.14.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e9ddefba1d4e1107c1f20f601b0581421ea3ad9fd75ce3c2ba6a76b6dc4682c"},
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{file = "statsmodels-0.14.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f43da7957e00190104c5dd0f661bfc6dfc68b87313e3f9c4dbd5e7d222e0aeb"},
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|
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|
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{file = "statsmodels-0.14.4-cp39-cp39-win_amd64.whl", hash = "sha256:8286f69a5e1d0e0b366ffed5691140c83d3efc75da6dbf34a3d06e88abfaaab6"},
|
|
|
|
|
{file = "statsmodels-0.14.4.tar.gz", hash = "sha256:5d69e0f39060dc72c067f9bb6e8033b6dccdb0bae101d76a7ef0bcc94e898b67"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = ">=1.22.3,<3"
|
|
|
|
|
packaging = ">=21.3"
|
|
|
|
|
pandas = ">=1.4,<2.1.0 || >2.1.0"
|
|
|
|
|
patsy = ">=0.5.6"
|
|
|
|
|
scipy = ">=1.8,<1.9.2 || >1.9.2"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
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", "setuptools-scm[toml] (>=8.0,<9.0)"]
|
|
|
|
|
docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "threadpoolctl"
|
|
|
|
|
version = "3.5.0"
|
|
|
|
|
@ -2112,6 +2280,17 @@ files = [
|
|
|
|
|
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "tzdata"
|
|
|
|
|
version = "2025.1"
|
|
|
|
|
description = "Provider of IANA time zone data"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=2"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
|
|
|
|
|
{file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "urllib3"
|
|
|
|
|
version = "2.3.0"
|
|
|
|
|
@ -2458,4 +2637,4 @@ files = [
|
|
|
|
|
[metadata]
|
|
|
|
|
lock-version = "2.0"
|
|
|
|
|
python-versions = "^3.10"
|
|
|
|
|
content-hash = "da0fda4b15dd36251289a7ee4c571bbc5025ec6c412e5fbce64b3eb7e0089ae9"
|
|
|
|
|
content-hash = "8d70f1df8b24fbd51e128ed36fbf43c4ccfdcd3b7dbd1f0f718870cab0c4d568"
|
|
|
|
|
|
