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chore: попытка исправить сборку
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poetry.lock
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49
poetry.lock
generated
@ -603,35 +603,30 @@ setuptools = "*"
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[[package]]
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name = "numpy"
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version = "1.20.3"
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version = "1.22.2"
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description = "NumPy is the fundamental package for array computing with Python."
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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{file = "numpy-1.20.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:70eb5808127284c4e5c9e836208e09d685a7978b6a216db85960b1a112eeace8"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6ca2b85a5997dabc38301a22ee43c82adcb53ff660b89ee88dded6b33687e1d8"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c5bf0e132acf7557fc9bb8ded8b53bbbbea8892f3c9a1738205878ca9434206a"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db250fd3e90117e0312b611574cd1b3f78bec046783195075cbd7ba9c3d73f16"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:637d827248f447e63585ca3f4a7d2dfaa882e094df6cfa177cc9cf9cd6cdf6d2"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:8b7bb4b9280da3b2856cb1fc425932f46fba609819ee1c62256f61799e6a51d2"},
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{file = "numpy-1.20.3-cp37-cp37m-win32.whl", hash = "sha256:67d44acb72c31a97a3d5d33d103ab06d8ac20770e1c5ad81bdb3f0c086a56cf6"},
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{file = "numpy-1.20.3-cp37-cp37m-win_amd64.whl", hash = "sha256:43909c8bb289c382170e0282158a38cf306a8ad2ff6dfadc447e90f9961bef43"},
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{file = "numpy-1.20.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f1452578d0516283c87608a5a5548b0cdde15b99650efdfd85182102ef7a7c17"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6e51534e78d14b4a009a062641f465cfaba4fdcb046c3ac0b1f61dd97c861b1b"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e515c9a93aebe27166ec9593411c58494fa98e5fcc219e47260d9ab8a1cc7f9f"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1c09247ccea742525bdb5f4b5ceeacb34f95731647fe55774aa36557dbb5fa4"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:66fbc6fed94a13b9801fb70b96ff30605ab0a123e775a5e7a26938b717c5d71a"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ea9cff01e75a956dbee133fa8e5b68f2f92175233de2f88de3a682dd94deda65"},
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{file = "numpy-1.20.3-cp38-cp38-win32.whl", hash = "sha256:f39a995e47cb8649673cfa0579fbdd1cdd33ea497d1728a6cb194d6252268e48"},
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{file = "numpy-1.20.3-cp38-cp38-win_amd64.whl", hash = "sha256:1676b0a292dd3c99e49305a16d7a9f42a4ab60ec522eac0d3dd20cdf362ac010"},
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{file = "numpy-1.20.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:830b044f4e64a76ba71448fce6e604c0fc47a0e54d8f6467be23749ac2cbd2fb"},
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{file = "numpy-1.20.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:55b745fca0a5ab738647d0e4db099bd0a23279c32b31a783ad2ccea729e632df"},
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{file = "numpy-1.20.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5d050e1e4bc9ddb8656d7b4f414557720ddcca23a5b88dd7cff65e847864c400"},
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{file = "numpy-1.20.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9c65473ebc342715cb2d7926ff1e202c26376c0dcaaee85a1fd4b8d8c1d3b2f"},
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{file = "numpy-1.20.3-cp39-cp39-win32.whl", hash = "sha256:16f221035e8bd19b9dc9a57159e38d2dd060b48e93e1d843c49cb370b0f415fd"},
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{file = "numpy-1.20.3-cp39-cp39-win_amd64.whl", hash = "sha256:6690080810f77485667bfbff4f69d717c3be25e5b11bb2073e76bb3f578d99b4"},
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{file = "numpy-1.20.3-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4e465afc3b96dbc80cf4a5273e5e2b1e3451286361b4af70ce1adb2984d392f9"},
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{file = "numpy-1.20.3.zip", hash = "sha256:e55185e51b18d788e49fe8305fd73ef4470596b33fc2c1ceb304566b99c71a69"},
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{file = "numpy-1.22.2-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:515a8b6edbb904594685da6e176ac9fbea8f73a5ebae947281de6613e27f1956"},
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{file = "numpy-1.22.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76a4f9bce0278becc2da7da3b8ef854bed41a991f4226911a24a9711baad672c"},
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{file = "numpy-1.22.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:168259b1b184aa83a514f307352c25c56af111c269ffc109d9704e81f72e764b"},
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{file = "numpy-1.22.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3556c5550de40027d3121ebbb170f61bbe19eb639c7ad0c7b482cd9b560cd23b"},
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{file = "numpy-1.22.2-cp310-cp310-win_amd64.whl", hash = "sha256:aafa46b5a39a27aca566198d3312fb3bde95ce9677085efd02c86f7ef6be4ec7"},
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{file = "numpy-1.22.2-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:55535c7c2f61e2b2fc817c5cbe1af7cb907c7f011e46ae0a52caa4be1f19afe2"},
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{file = "numpy-1.22.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:60cb8e5933193a3cc2912ee29ca331e9c15b2da034f76159b7abc520b3d1233a"},
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{file = "numpy-1.22.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b536b6840e84c1c6a410f3a5aa727821e6108f3454d81a5cd5900999ef04f89"},
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{file = "numpy-1.22.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2638389562bda1635b564490d76713695ff497242a83d9b684d27bb4a6cc9d7a"},
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{file = "numpy-1.22.2-cp38-cp38-win32.whl", hash = "sha256:6767ad399e9327bfdbaa40871be4254d1995f4a3ca3806127f10cec778bd9896"},
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{file = "numpy-1.22.2-cp38-cp38-win_amd64.whl", hash = "sha256:03ae5850619abb34a879d5f2d4bb4dcd025d6d8fb72f5e461dae84edccfe129f"},
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{file = "numpy-1.22.2-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:d76a26c5118c4d96e264acc9e3242d72e1a2b92e739807b3b69d8d47684b6677"},
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{file = "numpy-1.22.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:15efb7b93806d438e3bc590ca8ef2f953b0ce4f86f337ef4559d31ec6cf9d7dd"},
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{file = "numpy-1.22.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:badca914580eb46385e7f7e4e426fea6de0a37b9e06bec252e481ae7ec287082"},
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{file = "numpy-1.22.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:94dd11d9f13ea1be17bac39c1942f527cbf7065f94953cf62dfe805653da2f8f"},
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{file = "numpy-1.22.2-cp39-cp39-win32.whl", hash = "sha256:8cf33634b60c9cef346663a222d9841d3bbbc0a2f00221d6bcfd0d993d5543f6"},
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{file = "numpy-1.22.2-cp39-cp39-win_amd64.whl", hash = "sha256:59153979d60f5bfe9e4c00e401e24dfe0469ef8da6d68247439d3278f30a180f"},
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{file = "numpy-1.22.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a176959b6e7e00b5a0d6f549a479f869829bfd8150282c590deee6d099bbb6e"},
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{file = "numpy-1.22.2.zip", hash = "sha256:076aee5a3763d41da6bef9565fdf3cb987606f567cd8b104aded2b38b7b47abf"},
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]
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[[package]]
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@ -1346,4 +1341,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.8,<3.9"
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content-hash = "a98cc428fce111d8d491099663cb7afddf29b75d423a37217609c44dcbc9d314"
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content-hash = "dd43c1fe6e4ccdb477974170537412156b937bb2dff2274c8370408ca0394235"
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@ -15,7 +15,7 @@ pyinstaller = "^6.0.0"
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pyside2 = "^5.15.2.1"
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pandas = { version = "^2", markers = "python_version < '3.9'" }
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pylint = { version = "^2", markers = "python_version < '3.9'" }
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numpy = "1.20.3"
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numpy = "1.22.2"
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scipy = "1.9.1"
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# openpyxl = "^3.1.2"
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sympy = "^1.12"
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