lyangas commited on
Commit
9638727
1 Parent(s): 75d7fb5

fix versions in poetry lock

Browse files
Files changed (2) hide show
  1. poetry.lock +209 -76
  2. pyproject.toml +0 -5
poetry.lock CHANGED
@@ -317,6 +317,16 @@ files = [
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319
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@@ -386,33 +396,47 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
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387
  [[package]]
388
  name = "numpy"
389
- version = "1.22.4"
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- description = "NumPy is the fundamental package for array computing with Python."
391
  optional = false
392
- python-versions = ">=3.8"
393
  files = [
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- {file = "numpy-1.22.4.zip", hash = "sha256:425b390e4619f58d8526b3dcf656dde069133ae5c240229821f01b5f44ea07af"},
 
 
 
 
 
 
 
 
 
 
 
 
 
 
416
  ]
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  [[package]]
@@ -426,6 +450,103 @@ files = [
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  {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
427
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429
  [[package]]
430
  name = "pyyaml"
431
  version = "6.0.1"
@@ -451,6 +572,7 @@ files = [
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454
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@@ -647,41 +769,56 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (
647
 
648
  [[package]]
649
  name = "scipy"
650
- version = "1.10.1"
651
  description = "Fundamental algorithms for scientific computing in Python"
652
  optional = false
653
- python-versions = "<3.12,>=3.8"
654
- files = [
655
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676
  ]
677
 
678
  [package.dependencies]
679
- numpy = ">=1.19.5,<1.27.0"
680
 
681
  [package.extras]
682
- dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
683
- doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
684
- test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 
 
 
 
 
 
 
 
 
 
685
 
686
  [[package]]
687
  name = "sympy"
@@ -764,31 +901,12 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
764
 
765
  [[package]]
766
  name = "torch"
767
- version = "2.0.1"
768
  description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
769
  optional = false
770
  python-versions = ">=3.8.0"
771
  files = [
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792
  ]
793
 
794
  [package.dependencies]
@@ -801,6 +919,10 @@ typing-extensions = "*"
801
  [package.extras]
802
  opt-einsum = ["opt-einsum (>=3.3)"]
803
 
 
 
 
 
804
  [[package]]
805
  name = "tqdm"
806
  version = "4.66.1"
@@ -900,6 +1022,17 @@ files = [
900
  {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
901
  ]
902
 
 
 
 
 
 
 
 
 
 
 
 
903
  [[package]]
904
  name = "urllib3"
905
  version = "2.0.7"
@@ -963,5 +1096,5 @@ scikit-learn = ["scikit-learn"]
963
 
964
  [metadata]
965
  lock-version = "2.0"
966
- python-versions = "3.8"
967
- content-hash = "bf6be8c4e33c7a06196cd7cc17686192420fee4bf4449fa2ddeb5f66981cabd7"
 
317
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319
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+ optional = false
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511
+ gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
512
+ hdf5 = ["tables (>=3.8.0)"]
513
+ html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
514
+ mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
515
+ output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
516
+ parquet = ["pyarrow (>=10.0.1)"]
517
+ performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
518
+ plot = ["matplotlib (>=3.6.3)"]
519
+ postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
520
+ spss = ["pyreadstat (>=1.2.0)"]
521
+ sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
522
+ test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
523
+ xml = ["lxml (>=4.9.2)"]
524
+
525
+ [[package]]
526
+ name = "python-dateutil"
527
+ version = "2.9.0.post0"
528
+ description = "Extensions to the standard Python datetime module"
529
+ optional = false
530
+ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
531
+ files = [
532
+ {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
533
+ {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
534
+ ]
535
+
536
+ [package.dependencies]
537
+ six = ">=1.5"
538
+
539
+ [[package]]
540
+ name = "pytz"
541
+ version = "2024.1"
542
+ description = "World timezone definitions, modern and historical"
543
+ optional = false
544
+ python-versions = "*"
545
+ files = [
546
+ {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
547
+ {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
548
+ ]
549
+
550
  [[package]]
551
  name = "pyyaml"
552
  version = "6.0.1"
 
572
  {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
573
  {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
574
  {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
575
+ {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
576
  {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
577
  {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
578
  {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
 
769
 
770
  [[package]]
771
  name = "scipy"
772
+ version = "1.13.1"
773
  description = "Fundamental algorithms for scientific computing in Python"
774
  optional = false
775
+ python-versions = ">=3.9"
776
+ files = [
777
+ {file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"},
778
+ {file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"},
779
+ {file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfa31f1def5c819b19ecc3a8b52d28ffdcc7ed52bb20c9a7589669dd3c250989"},
780
+ {file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f"},
781
+ {file = "scipy-1.13.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:eccfa1906eacc02de42d70ef4aecea45415f5be17e72b61bafcfd329bdc52e94"},
782
+ {file = "scipy-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:2831f0dc9c5ea9edd6e51e6e769b655f08ec6db6e2e10f86ef39bd32eb11da54"},
783
+ {file = "scipy-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:27e52b09c0d3a1d5b63e1105f24177e544a222b43611aaf5bc44d4a0979e32f9"},
784
+ {file = "scipy-1.13.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:54f430b00f0133e2224c3ba42b805bfd0086fe488835effa33fa291561932326"},
785
+ {file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e89369d27f9e7b0884ae559a3a956e77c02114cc60a6058b4e5011572eea9299"},
786
+ {file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a78b4b3345f1b6f68a763c6e25c0c9a23a9fd0f39f5f3d200efe8feda560a5fa"},
787
+ {file = "scipy-1.13.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45484bee6d65633752c490404513b9ef02475b4284c4cfab0ef946def50b3f59"},
788
+ {file = "scipy-1.13.1-cp311-cp311-win_amd64.whl", hash = "sha256:5713f62f781eebd8d597eb3f88b8bf9274e79eeabf63afb4a737abc6c84ad37b"},
789
+ {file = "scipy-1.13.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1"},
790
+ {file = "scipy-1.13.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:017367484ce5498445aade74b1d5ab377acdc65e27095155e448c88497755a5d"},
791
+ {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627"},
792
+ {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de3ade0e53bc1f21358aa74ff4830235d716211d7d077e340c7349bc3542e884"},
793
+ {file = "scipy-1.13.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2ac65fb503dad64218c228e2dc2d0a0193f7904747db43014645ae139c8fad16"},
794
+ {file = "scipy-1.13.1-cp312-cp312-win_amd64.whl", hash = "sha256:cdd7dacfb95fea358916410ec61bbc20440f7860333aee6d882bb8046264e949"},
795
+ {file = "scipy-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:436bbb42a94a8aeef855d755ce5a465479c721e9d684de76bf61a62e7c2b81d5"},
796
+ {file = "scipy-1.13.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8335549ebbca860c52bf3d02f80784e91a004b71b059e3eea9678ba994796a24"},
797
+ {file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d533654b7d221a6a97304ab63c41c96473ff04459e404b83275b60aa8f4b7004"},
798
+ {file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637e98dcf185ba7f8e663e122ebf908c4702420477ae52a04f9908707456ba4d"},
799
+ {file = "scipy-1.13.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a014c2b3697bde71724244f63de2476925596c24285c7a637364761f8710891c"},
800
+ {file = "scipy-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:392e4ec766654852c25ebad4f64e4e584cf19820b980bc04960bca0b0cd6eaa2"},
801
+ {file = "scipy-1.13.1.tar.gz", hash = "sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c"},
802
  ]
803
 
804
  [package.dependencies]
805
+ numpy = ">=1.22.4,<2.3"
806
 
807
  [package.extras]
808
+ dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
809
+ doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
810
+ test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
811
+
812
+ [[package]]
813
+ name = "six"
814
+ version = "1.16.0"
815
+ description = "Python 2 and 3 compatibility utilities"
816
+ optional = false
817
+ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
818
+ files = [
819
+ {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
820
+ {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
821
+ ]
822
 
823
  [[package]]
824
  name = "sympy"
 
901
 
902
  [[package]]
903
  name = "torch"
904
+ version = "2.0.1+cpu.cxx11.abi"
905
  description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
906
  optional = false
907
  python-versions = ">=3.8.0"
908
  files = [
909
+ {file = "torch-2.0.1+cpu.cxx11.abi-cp38-cp38-linux_x86_64.whl", hash = "sha256:fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"},
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
910
  ]
911
 
912
  [package.dependencies]
 
919
  [package.extras]
920
  opt-einsum = ["opt-einsum (>=3.3)"]
921
 
922
+ [package.source]
923
+ type = "url"
924
+ url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"
925
+
926
  [[package]]
927
  name = "tqdm"
928
  version = "4.66.1"
 
1022
  {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
1023
  ]
1024
 
1025
+ [[package]]
1026
+ name = "tzdata"
1027
+ version = "2024.1"
1028
+ description = "Provider of IANA time zone data"
1029
+ optional = false
1030
+ python-versions = ">=2"
1031
+ files = [
1032
+ {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
1033
+ {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
1034
+ ]
1035
+
1036
  [[package]]
1037
  name = "urllib3"
1038
  version = "2.0.7"
 
1096
 
1097
  [metadata]
1098
  lock-version = "2.0"
1099
+ python-versions = "^3.9"
1100
+ content-hash = "6a849f1d84f420de55ee25844893805317668aac2f8420b65caac9d7edd30e60"
pyproject.toml CHANGED
@@ -14,11 +14,6 @@ werkzeug = "2.2.2"
14
  torch = {url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"}
15
  numpy = "1.26.3"
16
  pandas = "2.2.0"
17
- accelerate = "^0.25.0"
18
- experiments = "0.1.0"
19
- matplotlib = "3.8.2"
20
- plotly = "5.18.0"
21
- protobuf = "4.25.2"
22
  tqdm = "4.66.1"
23
 
24
  [tool.poetry.dev-dependencies]
 
14
  torch = {url = "https://download.pytorch.org/whl/cpu-cxx11-abi/torch-2.0.1%2Bcpu.cxx11.abi-cp38-cp38-linux_x86_64.whl#sha256=fbe35a5c60aef0c4b5463caab10ba905bdfa07d6d16b7be5d510225c966a0b46"}
15
  numpy = "1.26.3"
16
  pandas = "2.2.0"
 
 
 
 
 
17
  tqdm = "4.66.1"
18
 
19
  [tool.poetry.dev-dependencies]