mirror of
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chore: попытка исправить сборку
This commit is contained in:
parent
771bf66d79
commit
ba7449544d
11
.github/workflows/release.yml
vendored
11
.github/workflows/release.yml
vendored
@ -15,7 +15,7 @@ jobs:
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matrix:
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os: [ubuntu-20.04, windows-latest]
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spec: [statapp-onefile, statapp]
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arch: [x86, x64]
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arch: [x64] # [x86, x64]
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include:
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- os: ubuntu-20.04
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target: linux
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@ -44,15 +44,6 @@ jobs:
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with:
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path: ./.venv
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key: venv-${{ runner.os }}-${{ runner.arch }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
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- name: Setup MSYS2 (32-bit)
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if: ${{ matrix.arch == 'x86' && matrix.os == 'windows-latest' }}
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uses: msys2/setup-msys2@v2
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with:
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msystem: mingw32
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path-type: inherit
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install: >-
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mingw-w64-i686-gcc-fortran
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- name: Установка зависимостей
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run: poetry install
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- name: Сборка
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149
poetry.lock
generated
149
poetry.lock
generated
@ -651,45 +651,66 @@ files = [
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[[package]]
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name = "pandas"
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version = "1.4.4"
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version = "2.0.3"
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description = "Powerful data structures for data analysis, time series, and statistics"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "pandas-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:799e6a25932df7e6b1f8dabf63de064e2205dc309abb75956126a0453fd88e97"},
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{file = "pandas-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7cd1d69a387f7d5e1a5a06a87574d9ef2433847c0e78113ab51c84d3a8bcaeaa"},
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{file = "pandas-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:94f2ed1fd51e545ebf71da1e942fe1822ee01e10d3dd2a7276d01351333b7c6b"},
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{file = "pandas-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4591cadd06fbbbd16fafc2de6e840c1aaefeae3d5864b688004777ef1bbdede3"},
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{file = "pandas-1.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0022fe6a313df1c4869b5edc012d734c6519a6fffa3cf70930f32e6a1078e49"},
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{file = "pandas-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:785e878a6e6d8ddcdb8c181e600855402750052497d7fc6d6b508894f6b8830b"},
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{file = "pandas-1.4.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c4bb8b0ab9f94207d07e401d24baebfc63057246b1a5e0cd9ee50df85a656871"},
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{file = "pandas-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:51c424ca134fdaeac9a4acd719d1ab48046afc60943a489028f0413fdbe9ef1c"},
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{file = "pandas-1.4.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ce35f947202b0b99c660221d82beb91d2e6d553d55a40b30128204e3e2c63848"},
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{file = "pandas-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee6f1848148ed3204235967613b0a32be2d77f214e9623f554511047705c1e04"},
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{file = "pandas-1.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7cc960959be28d064faefc0cb2aef854d46b827c004ebea7e79b5497ed83e7d"},
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{file = "pandas-1.4.4-cp38-cp38-win32.whl", hash = "sha256:9d805bce209714b1c1fa29bfb1e42ad87e4c0a825e4b390c56a3e71593b7e8d8"},
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{file = "pandas-1.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:afbddad78a98ec4d2ce08b384b81730de1ccc975b99eb663e6dac43703f36d98"},
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{file = "pandas-1.4.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a08ceb59db499864c58a9bf85ab6219d527d91f14c0240cc25fa2c261032b2a7"},
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{file = "pandas-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0959c41004e3d2d16f39c828d6da66ebee329836a7ecee49fb777ac9ad8a7501"},
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{file = "pandas-1.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:87b4194f344dcd14c0f885cecb22005329b38bda10f1aaf7b9596a00ec8a4768"},
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{file = "pandas-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d2a7a3c1fea668d56bd91edbd5f2732e0af8feb9d2bf8d9bfacb2dea5fa9536"},
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{file = "pandas-1.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a981cfabf51c318a562deb4ae7deec594c07aee7cf18b4594a92c23718ec8275"},
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{file = "pandas-1.4.4-cp39-cp39-win32.whl", hash = "sha256:050aada67a5ec6699a7879e769825b510018a95fb9ac462bb1867483d0974a97"},
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{file = "pandas-1.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:8d4d2fe2863ecddb0ba1979bdda26c8bc2ea138f5a979abe3ba80c0fa4015c91"},
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{file = "pandas-1.4.4.tar.gz", hash = "sha256:ab6c0d738617b675183e5f28db32b5148b694ad9bba0a40c3ea26d96b431db67"},
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{file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"},
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{file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"},
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{file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"},
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{file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"},
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{file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"},
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{file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"},
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{file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"},
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{file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"},
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{file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"},
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{file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"},
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{file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"},
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{file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"},
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{file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"},
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{file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"},
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{file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"},
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{file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"},
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{file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"},
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{file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"},
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{file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"},
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{file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"},
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{file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"},
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{file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"},
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{file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"},
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{file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"},
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{file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"},
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]
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[package.dependencies]
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numpy = [
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{version = ">=1.18.5", markers = "(platform_machine != \"aarch64\" and platform_machine != \"arm64\") and python_version < \"3.10\""},
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{version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
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{version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
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]
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python-dateutil = ">=2.8.1"
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numpy = {version = ">=1.20.3", markers = "python_version < \"3.10\""}
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python-dateutil = ">=2.8.2"
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pytz = ">=2020.1"
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tzdata = ">=2022.1"
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[package.extras]
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test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
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all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
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aws = ["s3fs (>=2021.08.0)"]
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clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
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compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
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computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
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excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
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feather = ["pyarrow (>=7.0.0)"]
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fss = ["fsspec (>=2021.07.0)"]
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gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
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hdf5 = ["tables (>=3.6.1)"]
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html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
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mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
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output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
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parquet = ["pyarrow (>=7.0.0)"]
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performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
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plot = ["matplotlib (>=3.6.1)"]
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postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
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spss = ["pyreadstat (>=1.1.2)"]
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sql-other = ["SQLAlchemy (>=1.4.16)"]
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test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
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xml = ["lxml (>=4.6.3)"]
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[[package]]
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name = "pefile"
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@ -1068,38 +1089,41 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (
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[[package]]
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name = "scipy"
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version = "1.8.1"
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description = "SciPy: Scientific Library for Python"
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version = "1.10.1"
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description = "Fundamental algorithms for scientific computing in Python"
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optional = false
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python-versions = ">=3.8,<3.11"
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python-versions = "<3.12,>=3.8"
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files = [
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{file = "scipy-1.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:65b77f20202599c51eb2771d11a6b899b97989159b7975e9b5259594f1d35ef4"},
|
||||
{file = "scipy-1.8.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e013aed00ed776d790be4cb32826adb72799c61e318676172495383ba4570aa4"},
|
||||
{file = "scipy-1.8.1-cp310-cp310-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:02b567e722d62bddd4ac253dafb01ce7ed8742cf8031aea030a41414b86c1125"},
|
||||
{file = "scipy-1.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1da52b45ce1a24a4a22db6c157c38b39885a990a566748fc904ec9f03ed8c6ba"},
|
||||
{file = "scipy-1.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0aa8220b89b2e3748a2836fbfa116194378910f1a6e78e4675a095bcd2c762d"},
|
||||
{file = "scipy-1.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:4e53a55f6a4f22de01ffe1d2f016e30adedb67a699a310cdcac312806807ca81"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:28d2cab0c6ac5aa131cc5071a3a1d8e1366dad82288d9ec2ca44df78fb50e649"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:6311e3ae9cc75f77c33076cb2794fb0606f14c8f1b1c9ff8ce6005ba2c283621"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:3b69b90c9419884efeffaac2c38376d6ef566e6e730a231e15722b0ab58f0328"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6cc6b33139eb63f30725d5f7fa175763dc2df6a8f38ddf8df971f7c345b652dc"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c4e3ae8a716c8b3151e16c05edb1daf4cb4d866caa385e861556aff41300c14"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23b22fbeef3807966ea42d8163322366dd89da9bebdc075da7034cee3a1441ca"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-win32.whl", hash = "sha256:4b93ec6f4c3c4d041b26b5f179a6aab8f5045423117ae7a45ba9710301d7e462"},
|
||||
{file = "scipy-1.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:70ebc84134cf0c504ce6a5f12d6db92cb2a8a53a49437a6bb4edca0bc101f11c"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f3e7a8867f307e3359cc0ed2c63b61a1e33a19080f92fe377bc7d49f646f2ec1"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:2ef0fbc8bcf102c1998c1f16f15befe7cffba90895d6e84861cd6c6a33fb54f6"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:83606129247e7610b58d0e1e93d2c5133959e9cf93555d3c27e536892f1ba1f2"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:93d07494a8900d55492401917a119948ed330b8c3f1d700e0b904a578f10ead4"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3b3c8924252caaffc54d4a99f1360aeec001e61267595561089f8b5900821bb"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70de2f11bf64ca9921fda018864c78af7147025e467ce9f4a11bc877266900a6"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-win32.whl", hash = "sha256:1166514aa3bbf04cb5941027c6e294a000bba0cf00f5cdac6c77f2dad479b434"},
|
||||
{file = "scipy-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:9dd4012ac599a1e7eb63c114d1eee1bcfc6dc75a29b589ff0ad0bb3d9412034f"},
|
||||
{file = "scipy-1.8.1.tar.gz", hash = "sha256:9e3fb1b0e896f14a85aa9a28d5f755daaeeb54c897b746df7a55ccb02b340f33"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"},
|
||||
{file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"},
|
||||
{file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
|
||||
{file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
|
||||
{file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
|
||||
{file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.17.3,<1.25.0"
|
||||
numpy = ">=1.19.5,<1.27.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
|
||||
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
|
||||
test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
@ -1201,6 +1225,17 @@ files = [
|
||||
{file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tzdata"
|
||||
version = "2024.1"
|
||||
description = "Provider of IANA time zone data"
|
||||
optional = false
|
||||
python-versions = ">=2"
|
||||
files = [
|
||||
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
|
||||
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "virtualenv"
|
||||
version = "20.25.1"
|
||||
@ -1318,4 +1353,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8,<3.9"
|
||||
content-hash = "3c353f3fe13d8fa9fd437acca86e0af7f6621780ce3d6fdfb7200274bca18276"
|
||||
content-hash = "9bf21cc5d976daacdc0b02b174351c8a7e4b6a6602cbc1b5f0d7b658cf0b908a"
|
||||
|
||||
@ -13,18 +13,18 @@ python = ">=3.8,<3.9"
|
||||
pre-commit = "^3.4.0"
|
||||
pyinstaller = "^6.0.0"
|
||||
pyside2 = "^5.15.2.1"
|
||||
pandas = "1.4.4"
|
||||
pandas = { version = "^2", markers = "python_version < '3.9'" }
|
||||
pylint = { version = "^2", markers = "python_version < '3.9'" }
|
||||
# numpy = "1.22.2"
|
||||
scipy = "1.8.1"
|
||||
# scipy = { version = "^1", markers = "python_version < '3.9'" }
|
||||
# openpyxl = "^3.1.2"
|
||||
sympy = "^1.12"
|
||||
matplotlib = "3.7.5"
|
||||
matplotlib = "^3.7.0"
|
||||
pillow = "9.5"
|
||||
scikit-learn = "1.3.2"
|
||||
|
||||
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
Loading…
Reference in New Issue
Block a user