This is an automated email from the ASF dual-hosted git repository. yongzao pushed a commit to branch revert-transformer-version in repository https://gitbox.apache.org/repos/asf/iotdb.git
commit 41952c36d0006fe8bcd0b5709676d78223be1f97 Author: Yongzao <[email protected]> AuthorDate: Sun Aug 17 07:01:48 2025 +0800 trigger ci --- iotdb-core/ainode/poetry.lock | 267 +++++++++++++++++++-------------------- iotdb-core/ainode/pyproject.toml | 4 +- 2 files changed, 129 insertions(+), 142 deletions(-) diff --git a/iotdb-core/ainode/poetry.lock b/iotdb-core/ainode/poetry.lock index bef4436c03b..04ae9f2ad28 100644 --- a/iotdb-core/ainode/poetry.lock +++ b/iotdb-core/ainode/poetry.lock @@ -2037,124 +2037,112 @@ twisted = ["twisted"] [[package]] name = "tokenizers" -version = "0.20.3" +version = "0.19.1" description = "" optional = false python-versions = ">=3.7" groups = ["main"] files = [ - {file = "tokenizers-0.20.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:31ccab28dbb1a9fe539787210b0026e22debeab1662970f61c2d921f7557f7e4"}, - {file = "tokenizers-0.20.3-cp310-cp310-macosx_11_0_arm64.whl", hash = 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"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 (< [...] +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"] @@ -2367,28 +2356,26 @@ 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)", "libcst", "rich", "ruff (==0.5.1)", "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"] -ruff = ["ruff (==0.5.1)"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] 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 (<=3.8.1)", "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 (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "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)"] -tiktoken = ["blobfile", "tiktoken"] -timm = ["timm (<=0.9.16)"] -tokenizers = ["tokenizers (>=0.20,<0.21)"] -torch = ["accelerate (>=0.26.0)", "torch"] +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 (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"] -video = ["av (==9.2.0)"] +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)"] [[package]] @@ -2479,4 +2466,4 @@ zstd = ["zstandard (>=0.18.0)"] [metadata] lock-version = "2.1" python-versions = ">=3.9, <3.14" -content-hash = "b50324639495c24606de8699b48df357732c384c25e6c0925ced3bd849307dda" +content-hash = "b1459a93ac8aa250c68b348a85d56d8d9a1d70cf5c8c6fd3115775f32279dbd9" diff --git a/iotdb-core/ainode/pyproject.toml b/iotdb-core/ainode/pyproject.toml index 3b35799e8aa..356dd51a9d1 100644 --- a/iotdb-core/ainode/pyproject.toml +++ b/iotdb-core/ainode/pyproject.toml @@ -63,11 +63,11 @@ apache-iotdb = "2.0.4.dev0" einops = "^0.8.1" safetensors = "^0.5.1" huggingface_hub = "^0.30.1" -tokenizers = "^0.20" +tokenizers = ">=0.19" hf_xet = ">=1.1.7" black = "25.1.0" isort = "6.0.1" -transformers = "^4.40" +transformers = "==4.40.1" torchmetrics = ">=1.2.0" [tool.poetry.scripts]
