From 15833ccafab46584d1fea762646003aaec6ea750 Mon Sep 17 00:00:00 2001 From: Patrick Darwinkel Date: Tue, 11 Jun 2024 14:54:06 +0200 Subject: [PATCH] Update dependencies --- poetry.lock | 244 +++++++++++++++++++++++-------------------------- pyproject.toml | 10 +- 2 files changed, 117 insertions(+), 137 deletions(-) diff --git a/poetry.lock b/poetry.lock index 13fb028..0f55677 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "absl-py" @@ -717,16 +717,16 @@ files = [ [[package]] name = "coqui-tts" -version = "0.24.0" +version = "0.24.1" description = "Deep learning for Text to Speech." optional = false python-versions = "<3.13,>=3.9" files = [ - {file = "coqui_tts-0.24.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:4e7ba0877b8806c752a7f0e35950db5b7fcb3ec7d30c124ff049c30f38437f4b"}, - {file = "coqui_tts-0.24.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:4358db01340987245e3731dfbc7a6f6a49b0b3fde6425d5a8c3d740f53fcaa46"}, - {file = "coqui_tts-0.24.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:85e375705354ea2c5520c0f9542128bcc90331111a650adf11a0e0245f0b68c0"}, - {file = "coqui_tts-0.24.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:a4750baac17097a5c2b1830c8e34ce4c25030925b04f5544b392d6d91331e408"}, - {file = "coqui_tts-0.24.0.tar.gz", hash = "sha256:a8414d39bbd36db9b500749aa44e163b627672dca6725437c5b8e96e6d2d5ef8"}, + {file = "coqui_tts-0.24.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:7feb9502f03e6c3c0b5e47c0f6166335ff03aac55dece61497233168bf8ea750"}, + {file = "coqui_tts-0.24.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:da2fadf99aa1556dc4a26df90d14745a2ff508be4bf6ac143b778cb2ffa3f313"}, + {file = "coqui_tts-0.24.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:05b56d58c495b05738957198ea6130f0543a0c84d5b9e97872c852dd72760786"}, + {file = "coqui_tts-0.24.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:09ce255368528f61cef8ce29f4718e91d7f46a348eb0696502f2c10575024eb7"}, + {file = "coqui_tts-0.24.1.tar.gz", hash = "sha256:a6a1251bf2ffb9be8efc8fbecd54331579a1d80255aa7e18b31bd9f002e4abc5"}, ] [package.dependencies] @@ -752,7 +752,7 @@ spacy = {version = ">=3", extras = ["ja"]} torch = ">=2.1" torchaudio = "*" tqdm = ">=4.64.1" -transformers = ">=4.33.0" +transformers = ">=4.33.0,<4.41.0" umap-learn = ">=0.5.1" [package.extras] @@ -1046,13 +1046,13 @@ files = [ [[package]] name = "datasets" -version = "2.19.1" +version = "2.19.2" description = "HuggingFace community-driven open-source library of datasets" optional = false python-versions = ">=3.8.0" files = [ - {file = "datasets-2.19.1-py3-none-any.whl", hash = "sha256:f7a78d15896f45004ccac1c298f3c7121f92f91f6f2bfbd4e4f210f827e6e411"}, - {file = "datasets-2.19.1.tar.gz", hash = "sha256:0df9ef6c5e9138cdb996a07385220109ff203c204245578b69cca905eb151d3a"}, + {file = "datasets-2.19.2-py3-none-any.whl", hash = "sha256:e07ff15d75b1af75c87dd96323ba2a361128d495136652f37fd62f918d17bb4e"}, + {file = "datasets-2.19.2.tar.gz", hash = "sha256:eccb82fb3bb5ee26ccc6d7a15b7f1f834e2cc4e59b7cff7733a003552bad51ef"}, ] [package.dependencies] @@ -1068,7 +1068,7 @@ pandas = "*" pyarrow = ">=12.0.0" pyarrow-hotfix = "*" pyyaml = ">=5.1" -requests = ">=2.19.0" +requests = ">=2.32.1" tqdm = ">=4.62.1" xxhash = "*" @@ -1076,7 +1076,7 @@ xxhash = "*" apache-beam = ["apache-beam (>=2.26.0)"] audio = ["librosa", "soundfile (>=0.12.1)"] benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] -dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"] +dev = ["Pillow (>=9.4.0)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"] docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"] @@ -1084,9 +1084,9 @@ quality = ["ruff (>=0.3.0)"] s3 = ["s3fs"] tensorflow = ["tensorflow (>=2.6.0)"] tensorflow-gpu = ["tensorflow (>=2.6.0)"] -tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"] +tests = ["Pillow (>=9.4.0)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"] torch = ["torch"] -vision = ["Pillow (>=6.2.1)"] +vision = ["Pillow (>=9.4.0)"] [[package]] name = "dateparser" @@ -1597,13 +1597,13 @@ wcwidth = ">=0.2.12,<0.3.0" [[package]] name = "gradio" -version = "4.26.0" +version = "4.36.1" description = "Python library for easily interacting with trained machine learning models" optional = false python-versions = ">=3.8" files = [ - {file = "gradio-4.26.0-py3-none-any.whl", hash = "sha256:63e9ae7e65098ba8431bb3d6b519c548b9cf57decad063391c380ed593abae93"}, - {file = "gradio-4.26.0.tar.gz", hash = "sha256:44d7c4cf01e02e38c03afcfda1ca3c070968b01dbd69747e240148deff2f9f6c"}, + {file = "gradio-4.36.1-py3-none-any.whl", hash = "sha256:31edb504c88c1db06c08daf750dcdaa072087ada59aa4ff83c1a3f4c2075912d"}, + {file = "gradio-4.36.1.tar.gz", hash = "sha256:72b2d21156d3467123bae6f30f463f002ef06e272766274308f5ed3cac37563b"}, ] [package.dependencies] @@ -1611,14 +1611,14 @@ aiofiles = ">=22.0,<24.0" altair = ">=4.2.0,<6.0" fastapi = "*" ffmpy = "*" -gradio-client = "0.15.1" +gradio-client = "1.0.1" httpx = ">=0.24.1" huggingface-hub = ">=0.19.3" importlib-resources = ">=1.3,<7.0" jinja2 = "<4.0" markupsafe = ">=2.0,<3.0" matplotlib = ">=3.0,<4.0" -numpy = ">=1.0,<2.0" +numpy = ">=1.0,<3.0" orjson = ">=3.0,<4.0" packaging = "*" pandas = ">=1.0,<3.0" @@ -1630,8 +1630,9 @@ pyyaml = ">=5.0,<7.0" ruff = {version = ">=0.2.2", markers = "sys_platform != \"emscripten\""} semantic-version = ">=2.0,<3.0" tomlkit = "0.12.0" -typer = {version = ">=0.9,<1.0", extras = ["all"], markers = "sys_platform != \"emscripten\""} +typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""} typing-extensions = ">=4.0,<5.0" +urllib3 = ">=2.0,<3.0" uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""} [package.extras] @@ -1639,13 +1640,13 @@ oauth = ["authlib", "itsdangerous"] [[package]] name = "gradio-client" -version = "0.15.1" +version = "1.0.1" description = "Python library for easily interacting with trained machine learning models" optional = false python-versions = ">=3.8" files = [ - {file = "gradio_client-0.15.1-py3-none-any.whl", hash = "sha256:c31f2e00030cf39df7f198d1e430f38500b27232b7b62a7c42bdb26aee4c75b1"}, - {file = "gradio_client-0.15.1.tar.gz", hash = "sha256:c6b12f7d3f63b65d6539920023ca733fddcacdc45a712c0c32342d34428c8130"}, + {file = "gradio_client-1.0.1-py3-none-any.whl", hash = "sha256:fe3f527349ac38cbc5deb6d629a15c06fa3b4a68d1e04dc5ca9fbb1896318629"}, + {file = "gradio_client-1.0.1.tar.gz", hash = "sha256:b3fa4d1c626067cc866d6172caa75d373e114bacfba650e49e293646d786646a"}, ] [package.dependencies] @@ -2776,6 +2777,7 @@ files = [ {file = "msgpack-1.0.8-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5fbb160554e319f7b22ecf530a80a3ff496d38e8e07ae763b9e82fadfe96f273"}, {file = "msgpack-1.0.8-cp39-cp39-win32.whl", hash = "sha256:f9af38a89b6a5c04b7d18c492c8ccf2aee7048aff1ce8437c4683bb5a1df893d"}, {file = "msgpack-1.0.8-cp39-cp39-win_amd64.whl", hash = "sha256:ed59dd52075f8fc91da6053b12e8c89e37aa043f8986efd89e61fae69dc1b011"}, + {file = "msgpack-1.0.8-py3-none-any.whl", hash = "sha256:24f727df1e20b9876fa6e95f840a2a2651e34c0ad147676356f4bf5fbb0206ca"}, {file = "msgpack-1.0.8.tar.gz", hash = "sha256:95c02b0e27e706e48d0e5426d1710ca78e0f0628d6e89d5b5a5b91a5f12274f3"}, ] @@ -3159,13 +3161,13 @@ reference = "torch-intel" [[package]] name = "openpyxl" -version = "3.1.2" +version = "3.1.3" description = "A Python library to read/write Excel 2010 xlsx/xlsm files" optional = false python-versions = ">=3.6" files = [ - {file = "openpyxl-3.1.2-py2.py3-none-any.whl", hash = "sha256:f91456ead12ab3c6c2e9491cf33ba6d08357d802192379bb482f1033ade496f5"}, - {file = "openpyxl-3.1.2.tar.gz", hash = "sha256:a6f5977418eff3b2d5500d54d9db50c8277a368436f4e4f8ddb1be3422870184"}, + {file = "openpyxl-3.1.3-py2.py3-none-any.whl", hash = "sha256:25071b558db709de9e8782c3d3e058af3b23ffb2fc6f40c8f0c45a154eced2c3"}, + {file = "openpyxl-3.1.3.tar.gz", hash = "sha256:8dd482e5350125b2388070bb2477927be2e8ebc27df61178709bc8c8751da2f9"}, ] [package.dependencies] @@ -3679,22 +3681,6 @@ files = [ {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d32000693deff8dc5df444b032b5985a48592c0697cb6e3071a5d59888714e2"}, {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:8785bb10d5d6fd5e15d718ee1d1f914fe768bf8b4d1e5e9bf253de8a26cb1628"}, {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:e1369af39587b794873b8a307cc6623a3b1194e69399af0efd05bb202195a5a7"}, - {file = "pyarrow-16.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:febde33305f1498f6df85e8020bca496d0e9ebf2093bab9e0f65e2b4ae2b3444"}, - {file = "pyarrow-16.1.0-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:b5f5705ab977947a43ac83b52ade3b881eb6e95fcc02d76f501d549a210ba77f"}, - {file = "pyarrow-16.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0d27bf89dfc2576f6206e9cd6cf7a107c9c06dc13d53bbc25b0bd4556f19cf5f"}, - {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d07de3ee730647a600037bc1d7b7994067ed64d0eba797ac74b2bc77384f4c2"}, - {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbef391b63f708e103df99fbaa3acf9f671d77a183a07546ba2f2c297b361e83"}, - {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19741c4dbbbc986d38856ee7ddfdd6a00fc3b0fc2d928795b95410d38bb97d15"}, - {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:f2c5fb249caa17b94e2b9278b36a05ce03d3180e6da0c4c3b3ce5b2788f30eed"}, - {file = "pyarrow-16.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:e6b6d3cd35fbb93b70ade1336022cc1147b95ec6af7d36906ca7fe432eb09710"}, - {file = "pyarrow-16.1.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:18da9b76a36a954665ccca8aa6bd9f46c1145f79c0bb8f4f244f5f8e799bca55"}, - {file = "pyarrow-16.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:99f7549779b6e434467d2aa43ab2b7224dd9e41bdde486020bae198978c9e05e"}, - {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f07fdffe4fd5b15f5ec15c8b64584868d063bc22b86b46c9695624ca3505b7b4"}, - {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddfe389a08ea374972bd4065d5f25d14e36b43ebc22fc75f7b951f24378bf0b5"}, - {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:3b20bd67c94b3a2ea0a749d2a5712fc845a69cb5d52e78e6449bbd295611f3aa"}, - {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:ba8ac20693c0bb0bf4b238751d4409e62852004a8cf031c73b0e0962b03e45e3"}, - {file = "pyarrow-16.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:31a1851751433d89a986616015841977e0a188662fcffd1a5677453f1df2de0a"}, - {file = "pyarrow-16.1.0.tar.gz", hash = "sha256:15fbb22ea96d11f0b5768504a3f961edab25eaf4197c341720c4a387f6c60315"}, ] [package.dependencies] @@ -4499,28 +4485,28 @@ files = [ [[package]] name = "ruff" -version = "0.4.6" +version = "0.4.8" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" files = [ - {file = "ruff-0.4.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:ef995583a038cd4a7edf1422c9e19118e2511b8ba0b015861b4abd26ec5367c5"}, - {file = "ruff-0.4.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:602ebd7ad909eab6e7da65d3c091547781bb06f5f826974a53dbe563d357e53c"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f9ced5cbb7510fd7525448eeb204e0a22cabb6e99a3cb160272262817d49786"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:04a80acfc862e0e1630c8b738e70dcca03f350bad9e106968a8108379e12b31f"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:be47700ecb004dfa3fd4dcdddf7322d4e632de3c06cd05329d69c45c0280e618"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:1ff930d6e05f444090a0139e4e13e1e2e1f02bd51bb4547734823c760c621e79"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f13410aabd3b5776f9c5699f42b37a3a348d65498c4310589bc6e5c548dc8a2f"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0cf5cc02d3ae52dfb0c8a946eb7a1d6ffe4d91846ffc8ce388baa8f627e3bd50"}, - {file = "ruff-0.4.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea3424793c29906407e3cf417f28fc33f689dacbbadfb52b7e9a809dd535dcef"}, - {file = "ruff-0.4.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:1fa8561489fadf483ffbb091ea94b9c39a00ed63efacd426aae2f197a45e67fc"}, - {file = "ruff-0.4.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:4d5b914818d8047270308fe3e85d9d7f4a31ec86c6475c9f418fbd1624d198e0"}, - {file = "ruff-0.4.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:4f02284335c766678778475e7698b7ab83abaf2f9ff0554a07b6f28df3b5c259"}, - {file = "ruff-0.4.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:3a6a0a4f4b5f54fff7c860010ab3dd81425445e37d35701a965c0248819dde7a"}, - {file = "ruff-0.4.6-py3-none-win32.whl", hash = "sha256:9018bf59b3aa8ad4fba2b1dc0299a6e4e60a4c3bc62bbeaea222679865453062"}, - {file = "ruff-0.4.6-py3-none-win_amd64.whl", hash = "sha256:a769ae07ac74ff1a019d6bd529426427c3e30d75bdf1e08bb3d46ac8f417326a"}, - {file = "ruff-0.4.6-py3-none-win_arm64.whl", hash = "sha256:735a16407a1a8f58e4c5b913ad6102722e80b562dd17acb88887685ff6f20cf6"}, - {file = "ruff-0.4.6.tar.gz", hash = "sha256:a797a87da50603f71e6d0765282098245aca6e3b94b7c17473115167d8dfb0b7"}, + {file = "ruff-0.4.8-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:7663a6d78f6adb0eab270fa9cf1ff2d28618ca3a652b60f2a234d92b9ec89066"}, + {file = "ruff-0.4.8-py3-none-macosx_11_0_arm64.whl", hash = "sha256:eeceb78da8afb6de0ddada93112869852d04f1cd0f6b80fe464fd4e35c330913"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aad360893e92486662ef3be0a339c5ca3c1b109e0134fcd37d534d4be9fb8de3"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:284c2e3f3396fb05f5f803c9fffb53ebbe09a3ebe7dda2929ed8d73ded736deb"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7354f921e3fbe04d2a62d46707e569f9315e1a613307f7311a935743c51a764"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:72584676164e15a68a15778fd1b17c28a519e7a0622161eb2debdcdabdc71883"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9678d5c9b43315f323af2233a04d747409d1e3aa6789620083a82d1066a35199"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704977a658131651a22b5ebeb28b717ef42ac6ee3b11e91dc87b633b5d83142b"}, + {file = "ruff-0.4.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d05f8d6f0c3cce5026cecd83b7a143dcad503045857bc49662f736437380ad45"}, + {file = "ruff-0.4.8-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6ea874950daca5697309d976c9afba830d3bf0ed66887481d6bca1673fc5b66a"}, + {file = "ruff-0.4.8-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:fc95aac2943ddf360376be9aa3107c8cf9640083940a8c5bd824be692d2216dc"}, + {file = "ruff-0.4.8-py3-none-musllinux_1_2_i686.whl", hash = "sha256:384154a1c3f4bf537bac69f33720957ee49ac8d484bfc91720cc94172026ceed"}, + {file = "ruff-0.4.8-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e9d5ce97cacc99878aa0d084c626a15cd21e6b3d53fd6f9112b7fc485918e1fa"}, + {file = "ruff-0.4.8-py3-none-win32.whl", hash = "sha256:6d795d7639212c2dfd01991259460101c22aabf420d9b943f153ab9d9706e6a9"}, + {file = "ruff-0.4.8-py3-none-win_amd64.whl", hash = "sha256:e14a3a095d07560a9d6769a72f781d73259655919d9b396c650fc98a8157555d"}, + {file = "ruff-0.4.8-py3-none-win_arm64.whl", hash = "sha256:14019a06dbe29b608f6b7cbcec300e3170a8d86efaddb7b23405cb7f7dcaf780"}, + {file = "ruff-0.4.8.tar.gz", hash = "sha256:16d717b1d57b2e2fd68bd0bf80fb43931b79d05a7131aa477d66fc40fbd86268"}, ] [[package]] @@ -4902,41 +4888,41 @@ test = ["pytest"] [[package]] name = "spacy" -version = "3.7.4" +version = "3.7.5" description = "Industrial-strength Natural Language Processing (NLP) in Python" optional = false python-versions = ">=3.7" files = [ - {file = "spacy-3.7.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0f748625192f573c07ddea5fcd324919dbfbf4f4a2f7a1fc731e6dcba7321ea1"}, - {file = "spacy-3.7.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6288dca7b3a5489b3d7ce68404bc432ca22f826c662a12af47ef7bdb264307fb"}, - {file = "spacy-3.7.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef59db99b12a72d2646be3888d87f94c59e11cd07adc2f50a8130e83f07eb1cf"}, - {file = "spacy-3.7.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f07477a4027711c22b3865e78dc9076335c03fcf318a6736159bf07e2a923125"}, - {file = "spacy-3.7.4-cp310-cp310-win_amd64.whl", hash = "sha256:787ce42a837f7edfbd4185356eea893a81b7dd75743d0047f2b9bf179775f970"}, - {file = "spacy-3.7.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:e82b9da21853d4aee46811804dc7e136895f087fda25c7585172d95eb9b70833"}, - {file = "spacy-3.7.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:07ffedf51899441070fb70432f8f873696f39e0e31c9ce7403101c459f8a1281"}, - {file = "spacy-3.7.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba57bcc111eca7b086ee33a9636df775cfd4b14302f7d0ffbc11e95ac0fb3f0e"}, - {file = "spacy-3.7.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7580d1565f4d1ccbee9a18531f993a5b9b37ced96f145153dd4e98ceec607a55"}, - {file = "spacy-3.7.4-cp311-cp311-win_amd64.whl", hash = "sha256:df99c6f0085b1ec8e88beb5fd96d4371cef6fc19c202c41fc4fadc2afd55a157"}, - {file = "spacy-3.7.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b982ebab417189346acb4722637c573830d62e157ba336c3eb6c417249344be1"}, - {file = "spacy-3.7.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e7c29e152d8ea060af60da9410fa8ef038f3c9068a206905ee5c704de78f6e87"}, - {file = "spacy-3.7.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:023c9a008328f55c4717c56c4f8a28073b9961547f7d38a9405c967a52e66d59"}, - {file = "spacy-3.7.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1969d3d0fd0c811b7485438460f0ae8cfe16d46b54bcb8d1c26e70914e67e3d"}, - {file = "spacy-3.7.4-cp312-cp312-win_amd64.whl", hash = "sha256:040f7df5096c817450820eaaa426d54ed266254d16974e9a707a32f5b0f139ae"}, - {file = "spacy-3.7.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a6757e8fbfd35dc0ed830296d5756f46d5b8d4b0353925dbe2f9aa33b82c5308"}, - {file = "spacy-3.7.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c500c1bad9e0488814a75077089aeef64a6b520ae8131578f266a08168106fa3"}, - {file = "spacy-3.7.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c992e2c5c0cd06c7f3e74fe8d758885117090013931c7938277d1421660bf71f"}, - {file = "spacy-3.7.4-cp37-cp37m-win_amd64.whl", hash = "sha256:2463c56ab1378f2b9a675340a2e3dfb618989d0da8cdce06429bc9b1dad4f294"}, - {file = "spacy-3.7.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b43e92edfa99f34dbb9dd30175f41158d20945e3179055d0071fee19394add96"}, - {file = "spacy-3.7.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c26a81d33c93e4a8e3360d61dcce0802fb886de79f666a487ea5abbd3ce4b30b"}, - {file = "spacy-3.7.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d7910ca7a91bf423febd8a9a10ca6a4cfcb5c99abdec79df1eb7b67ea3e3c90"}, - {file = "spacy-3.7.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b16768b9e5c350b8a383a6bd84cd0481ccdf10ae6231f568598890638065f69"}, - {file = "spacy-3.7.4-cp38-cp38-win_amd64.whl", hash = "sha256:ed99fb176979b1e3cf6830161f8e881beae54e80147b05fca31d9a67cb12fbca"}, - {file = "spacy-3.7.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ca8112330982dbeef125cc5eb40e0349493055835a0ebe29028a0953a25d8522"}, - {file = "spacy-3.7.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:977f37493d7cf0b5dca155f0450d47890378703283c29919cdcc220db994a775"}, - {file = "spacy-3.7.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ad5e931c294d100ec3edb40e40f2722ef505cea16312839dd6467e81d665740"}, - {file = "spacy-3.7.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11ebf6054cd3ec3638801d7ff9b709e32fb9c15512b347b489bfe2ccb1102c9f"}, - {file = "spacy-3.7.4-cp39-cp39-win_amd64.whl", hash = "sha256:f5b930753027ac599f70bb7e77d6a2256191fe582e6f3f0cd624d88f6c279fa4"}, - {file = "spacy-3.7.4.tar.gz", hash = "sha256:525f2ced2e40761562c8cace93ef6a1e6e8c483f27bd564bc1b15f608efbe85b"}, + {file = "spacy-3.7.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8002897701429ee2ab5ff6921ae43560f4cd17184cb1e10dad761901c12dcb85"}, + {file = "spacy-3.7.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:43acd19efc845e9126b61a05ed7508a0aff509e96e15563f30f810c19e636b7c"}, + {file = "spacy-3.7.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f044522b1271ea54718dc43b6f593b5dad349cd31b3827764c501529b599e09a"}, + {file = "spacy-3.7.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a7dbfbca42c1c128fefa6832631fe49e11c850e963af99229f14e2d0ae94f34"}, + {file = "spacy-3.7.5-cp310-cp310-win_amd64.whl", hash = "sha256:2a21b2a1e1e5d10d15c6f75990b7341d0fc9b454083dfd4222fdd75b9164831c"}, + {file = "spacy-3.7.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cd93c34bf2a02bbed7df73d42aed8df5e3eb9688c4ea84ec576f740ba939cce5"}, + {file = "spacy-3.7.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:190ba0032a5efdb138487c587c0ebb7a98f86adb917f464b252ee8766b8eec4a"}, + {file = "spacy-3.7.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38de1c9bbb73b8cdfea2dd6e57450f093c1a1af47515870c1c8640b85b35ab16"}, + {file = "spacy-3.7.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3dad4853950a2fe6c7a0bdfd791a762d1f8cedd2915c4ae41b2e0ca3a850eefc"}, + {file = "spacy-3.7.5-cp311-cp311-win_amd64.whl", hash = "sha256:4e00d076871af784c2e43185a71ee676b58893853a05c5b81717b8af2b666c07"}, + {file = "spacy-3.7.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:bf54c3c2425428b328b53a65913d47eb4cb27a1429aa4e8ed979ffc97d4663e0"}, + {file = "spacy-3.7.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4145cea7f9814fa7d86b2028c2dd83e02f13f80d5ac604a400b2f7d7b26a0e8c"}, + {file = "spacy-3.7.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:262f8ebb71f7ed5ffe8e4f384b2594b7a296be50241ce9fbd9277b5da2f46f38"}, + {file = "spacy-3.7.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:faa1e2b6234ae33c0b1f8dfa5a8dcb66fb891f19231725dfcff4b2666125c250"}, + {file = "spacy-3.7.5-cp312-cp312-win_amd64.whl", hash = "sha256:07677e270a6d729453cc04b5e2247a96a86320b8845e6428d9f90f217eff0f56"}, + {file = "spacy-3.7.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3e207dda0639818e2ef8f12e3df82a526de118cc09082b0eee3053ebcd9f8332"}, + {file = "spacy-3.7.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5694dd3b2f6414c18e2a3f31111cd41ffd597e1d614b51c5779f85ff07f08f6c"}, + {file = "spacy-3.7.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d211920ff73d68b8febb1d293f10accbd54f2b2228ecd3530548227b750252b1"}, + {file = "spacy-3.7.5-cp37-cp37m-win_amd64.whl", hash = "sha256:1171bf4d8541c18a83441be01feb6c735ffc02e9308810cd691c8900a6678cd5"}, + {file = "spacy-3.7.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d9108f67675fb2078ed77cda61fd4cfc197f9256c28d35cfd946dcb080190ddc"}, + {file = "spacy-3.7.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:12fdc01a4391299a47f16915505cc515fd059e71c7239904e216523354eeb9d9"}, + {file = "spacy-3.7.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f8fbe9f6b9de1bf05d163a9dd88108b8f20b138986e6ed36f960832e3fcab33"}, + {file = "spacy-3.7.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d244d524ab5a33530ac5c50fc92c9a41da6c3980f452048b9fc29e1ff1bdd03e"}, + {file = "spacy-3.7.5-cp38-cp38-win_amd64.whl", hash = "sha256:8b493a8b79a7f3754102fa5ef7e2615568a390fec7ea20db49af55e5f0841fcf"}, + {file = "spacy-3.7.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fdbb667792d6ca93899645774d1db3fccc327088a92072029be1e4bc25d7cf15"}, + {file = "spacy-3.7.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4cfb85309e11a39681c9d4941aebb95c1f5e2e3b77a61a5451e2c3849da4b92e"}, + {file = "spacy-3.7.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b0bf1788ca397eef8e67e9c07cfd9287adac438512dd191e6e6ca0f36357201"}, + {file = "spacy-3.7.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:591d90d8504e9bd5be5b482be7c6d6a974afbaeb62c3181e966f4e407e0ab300"}, + {file = "spacy-3.7.5-cp39-cp39-win_amd64.whl", hash = "sha256:713b56fe008c79df01617f3602a0b7e523292211337eb999bdffb910ea1f4825"}, + {file = "spacy-3.7.5.tar.gz", hash = "sha256:a648c6cbf2acc7a55a69ee9e7fa4f22bdf69aa828a587a1bc5cfff08cf3c2dd3"}, ] [package.dependencies] @@ -4951,7 +4937,6 @@ preshed = ">=3.0.2,<3.1.0" pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<3.0.0" requests = ">=2.13.0,<3.0.0" setuptools = "*" -smart-open = ">=5.2.1,<7.0.0" spacy-legacy = ">=3.0.11,<3.1.0" spacy-loggers = ">=1.0.0,<2.0.0" srsly = ">=2.4.3,<3.0.0" @@ -4959,9 +4944,9 @@ sudachidict-core = {version = ">=20211220", optional = true, markers = "extra == sudachipy = {version = ">=0.5.2,<0.6.1 || >0.6.1", optional = true, markers = "extra == \"ja\""} thinc = ">=8.2.2,<8.3.0" tqdm = ">=4.38.0,<5.0.0" -typer = ">=0.3.0,<0.10.0" +typer = ">=0.3.0,<1.0.0" wasabi = ">=0.9.1,<1.2.0" -weasel = ">=0.1.0,<0.4.0" +weasel = ">=0.1.0,<0.5.0" [package.extras] apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"] @@ -5498,18 +5483,18 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.41.0" +version = "4.40.2" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.8.0" files = [ - {file = "transformers-4.41.0-py3-none-any.whl", hash = "sha256:edcbc48fc7ec26b23c86a7b17a516c0c882b289df0a260f61af6d9c11bfbc3f3"}, - {file = "transformers-4.41.0.tar.gz", hash = "sha256:5971737e7c2e4d5ae1495f9d48af0351c0fb7c7c650b96508ac5996cd7f44f49"}, + {file = "transformers-4.40.2-py3-none-any.whl", hash = "sha256:71cb94301ec211a2e1d4b8c8d18dcfaa902dfa00a089dceca167a8aa265d6f2d"}, + {file = "transformers-4.40.2.tar.gz", hash = "sha256:657b6054a2097671398d976ad46e60836e7e15f9ea9551631a96e33cb9240649"}, ] [package.dependencies] filelock = "*" -huggingface-hub = ">=0.23.0,<1.0" +huggingface-hub = ">=0.19.3,<1.0" numpy = ">=1.17" packaging = ">=20.0" pyyaml = ">=5.1" @@ -5522,15 +5507,17 @@ tqdm = ">=4.27" [package.extras] accelerate = ["accelerate (>=0.21.0)"] agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"] -all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"] +all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"] audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] codecarbon = ["codecarbon (==1.2.0)"] deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] -dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"] -dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] -flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"] +docs-specific = ["hf-doc-builder"] +flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"] @@ -5540,7 +5527,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"] onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] sagemaker = ["sagemaker (>=2.31.0)"] @@ -5549,16 +5536,16 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] tokenizers = ["tokenizers (>=0.19,<0.20)"] torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.23.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -5593,28 +5580,21 @@ test = ["coverage[toml] (>=7)", "mypy (>=1.2.0)", "pytest (>=7)"] [[package]] name = "typer" -version = "0.9.4" +version = "0.12.3" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file = "typer-0.9.4-py3-none-any.whl", hash = "sha256:aa6c4a4e2329d868b80ecbaf16f807f2b54e192209d7ac9dd42691d63f7a54eb"}, - {file = "typer-0.9.4.tar.gz", hash = "sha256:f714c2d90afae3a7929fcd72a3abb08df305e1ff61719381384211c4070af57f"}, + {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"}, + {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"}, ] [package.dependencies] -click = ">=7.1.1,<9.0.0" -colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""} -rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""} -shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""} +click = ">=8.0.0" +rich = ">=10.11.0" +shellingham = ">=1.3.0" typing-extensions = ">=3.7.4.3" -[package.extras] -all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"] -dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"] -doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"] -test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.971)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"] - [[package]] name = "typing-extensions" version = "4.11.0" @@ -5771,24 +5751,24 @@ files = [ [[package]] name = "weasel" -version = "0.3.4" +version = "0.4.1" description = "Weasel: A small and easy workflow system" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file = "weasel-0.3.4-py3-none-any.whl", hash = "sha256:ee48a944f051d007201c2ea1661d0c41035028c5d5a8bcb29a0b10f1100206ae"}, - {file = "weasel-0.3.4.tar.gz", hash = "sha256:eb16f92dc9f1a3ffa89c165e3a9acd28018ebb656e0da4da02c0d7d8ae3f6178"}, + {file = "weasel-0.4.1-py3-none-any.whl", hash = "sha256:24140a090ea1ac512a2b2f479cc64192fd1d527a7f3627671268d08ed5ac418c"}, + {file = "weasel-0.4.1.tar.gz", hash = "sha256:aabc210f072e13f6744e5c3a28037f93702433405cd35673f7c6279147085aa9"}, ] [package.dependencies] -cloudpathlib = ">=0.7.0,<0.17.0" +cloudpathlib = ">=0.7.0,<1.0.0" confection = ">=0.0.4,<0.2.0" packaging = ">=20.0" pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<3.0.0" requests = ">=2.13.0,<3.0.0" -smart-open = ">=5.2.1,<7.0.0" +smart-open = ">=5.2.1,<8.0.0" srsly = ">=2.4.3,<3.0.0" -typer = ">=0.3.0,<0.10.0" +typer = ">=0.3.0,<1.0.0" wasabi = ">=0.9.1,<1.2.0" [[package]] @@ -6198,4 +6178,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more [metadata] lock-version = "2.0" python-versions = "^3.11,<3.13" -content-hash = "3aef548fd966fd9bc2c9c5a209007ebc551f2ad3bf2b27cc2c72d912e5fb4aa5" +content-hash = "0bb387a80cb55a14917622b8cee9ac9b031590e5c9fbd1adcbf549a589874148" diff --git a/pyproject.toml b/pyproject.toml index f9ceaa6..97517f3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,7 +35,7 @@ build-backend = "poetry_dynamic_versioning.backend" python = "^3.11,<3.13" pandas = "2.2.2" numpy = "1.26.4" -coqui-tts = "0.24.0" # Py3.12 fork +coqui-tts = "0.24.1" # Py3.12 fork clean-text = "0.6.0" num2words = "0.5.13" unidecode = "1.3.8" @@ -52,7 +52,7 @@ intel-extension-for-pytorch = {version = "^2.3.0+cpu", source = "torch-intel"} oneccl_bind_pt = {version = "^2.3.0+cpu", source = "torch-intel"} [tool.poetry.group.dev.dependencies] -ruff = "0.4.6" +ruff = "0.4.8" mypy = "1.10.0" poetry-plugin-export = "1.8.0" pytest = "8.2.1" @@ -60,13 +60,13 @@ pytest-cov = "5.0.0" [tool.poetry.group.train.dependencies] coqui-tts-trainer = "0.1.1" # Py3.12 fork -openpyxl = "3.1.2" -datasets = "2.19.1" +openpyxl = "3.1.3" +datasets = "2.19.2" soundfile = "0.12.1" accelerate = "0.30.1" [tool.poetry.group.deploy.dependencies] -gradio = "4.26.0" +gradio = "4.36.1" # Code quality tooling configuration [tool.ruff]