mirror of
https://github.com/fhswf/aki_prj23_transparenzregister.git
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New TOML File with pyabsa included
This commit is contained in:
parent
ade5641213
commit
9d1635f59d
344
poetry.lock
generated
344
poetry.lock
generated
@ -234,6 +234,16 @@ tests = ["attrs[tests-no-zope]", "zope-interface"]
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tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
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tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
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[[package]]
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name = "autocuda"
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version = "0.16"
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description = "This package provides the function to auto-choose the cuda device hase largest free memory in Pytorch"
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "autocuda-0.16-py3-none-any.whl", hash = "sha256:c33398872f4c9336815dce158400438d616b8e1616d7ddfde5c9a203b71ec856"},
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]
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[[package]]
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name = "babel"
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version = "2.14.0"
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@ -398,6 +408,22 @@ files = [
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{file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"},
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]
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[[package]]
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name = "boostaug"
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version = "2.3.5"
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description = ""
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "boostaug-2.3.5-py3-none-any.whl", hash = "sha256:1a7a0448960fffa14358c1580bbdde9cd815b27ba88ed6416f4438825c6adcef"},
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]
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[package.dependencies]
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pyabsa = ">=2.0.10"
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[package.extras]
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full = ["nlpaug", "tensorflow-text", "textattack"]
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[[package]]
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name = "brotli"
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version = "1.1.0"
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@ -1695,6 +1721,19 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1
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testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
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typing = ["typing-extensions (>=4.8)"]
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[[package]]
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name = "findfile"
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version = "2.0.1"
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description = "This package provides the function to search target file(s)/dir(s) using keyword, alleviating the possibility of failure to find files by specifying relative/absolute path"
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "findfile-2.0.1-py3-none-any.whl", hash = "sha256:29c426b9b958bcd8aaf4cf629685b5f67a78f22bbd3cd7c3be389f4fb4368b3d"},
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]
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[package.dependencies]
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termcolor = "*"
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[[package]]
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name = "flask"
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version = "3.0.0"
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@ -2347,6 +2386,17 @@ MarkupSafe = ">=2.0"
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[package.extras]
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i18n = ["Babel (>=2.7)"]
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[[package]]
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name = "joblib"
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version = "1.3.2"
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description = "Lightweight pipelining with Python functions"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
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{file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
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]
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[[package]]
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name = "json5"
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version = "0.9.14"
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@ -3159,6 +3209,30 @@ files = [
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{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
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]
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[[package]]
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name = "metric-visualizer"
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version = "0.9.8"
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description = "This is a tool for automated experimental metrics statistics and visualization"
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "metric_visualizer-0.9.8-py3-none-any.whl", hash = "sha256:50795c940817b3c6495aff94df5a1ccb9109cf3f7719175d31e4d904d76b410d"},
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]
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[package.dependencies]
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click = "*"
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findfile = "*"
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matplotlib = ">=3.6.3"
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natsort = "*"
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numpy = "*"
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openpyxl = "*"
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pandas = "*"
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scipy = ">=1.10.0"
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tabulate = "*"
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tikzplotlib = "*"
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update-checker = "*"
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xlsxwriter = "*"
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[[package]]
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name = "mistune"
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version = "3.0.2"
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@ -3388,6 +3462,21 @@ rtd = ["ipython", "pydata-sphinx-theme (==v0.13.0rc4)", "sphinx-autodoc2 (>=0.4.
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testing = ["beautifulsoup4", "coverage[toml]", "pytest (>=7,<8)", "pytest-cov", "pytest-param-files (>=0.3.4,<0.4.0)", "pytest-regressions", "sphinx-pytest"]
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testing-docutils = ["pygments", "pytest (>=7,<8)", "pytest-param-files (>=0.3.4,<0.4.0)"]
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[[package]]
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name = "natsort"
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version = "8.4.0"
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description = "Simple yet flexible natural sorting in Python."
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "natsort-8.4.0-py3-none-any.whl", hash = "sha256:4732914fb471f56b5cce04d7bae6f164a592c7712e1c85f9ef585e197299521c"},
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{file = "natsort-8.4.0.tar.gz", hash = "sha256:45312c4a0e5507593da193dedd04abb1469253b601ecaf63445ad80f0a1ea581"},
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]
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[package.extras]
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fast = ["fastnumbers (>=2.0.0)"]
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icu = ["PyICU (>=1.0.0)"]
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[[package]]
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name = "nbclient"
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version = "0.9.0"
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@ -4440,6 +4529,44 @@ files = [
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[package.dependencies]
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defusedxml = ">=0.7.1,<0.8.0"
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[[package]]
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name = "pyabsa"
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version = "2.4.0"
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description = "This tool provides the state-of-the-art models for aspect term extraction (ATE), aspect polarity classification (APC), and text classification (TC)."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "pyabsa-2.4.0-py3-none-any.whl", hash = "sha256:81c7f9fe01bb28ec163771e5095fc4c28ef120583aec3b7f94203e43fc1a77f8"},
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]
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[package.dependencies]
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autocuda = ">=0.16"
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boostaug = ">=2.3.5"
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findfile = ">=2.0.0"
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gitpython = "*"
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metric-visualizer = ">=0.9.6"
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networkx = "*"
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pandas = "*"
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protobuf = "<4.0.0"
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pytorch-warmup = "*"
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sentencepiece = "*"
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seqeval = "*"
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spacy = "*"
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termcolor = "*"
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torch = ">=1.0.0"
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tqdm = "*"
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transformers = ">=4.18.0"
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typing-extensions = "*"
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update-checker = "*"
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[package.extras]
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deploy = ["gradio", "setuptools", "twine", "wheel"]
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dev = ["docformatter", "flake8", "gradio", "isort", "nbsphinx", "pytest", "pytest-xdist", "recommonmark", "sentence-transformers", "setuptools", "sphinx-autobuild", "sphinx-copybutton", "sphinx-markdown-tables", "sphinx-rtd-theme", "tensorboardX", "tensorflow", "tensorflow-estimator", "tensorflow-hub", "tensorflow-text", "twine", "wheel"]
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docs = ["nbsphinx", "recommonmark", "sphinx-autobuild", "sphinx-copybutton", "sphinx-markdown-tables", "sphinx-rtd-theme"]
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optional = ["sentence-transformers", "tensorflow", "tensorflow-hub"]
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tensorflow = ["tensorboardX", "tensorflow", "tensorflow-estimator", "tensorflow-hub", "tensorflow-text"]
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test = ["docformatter", "flake8", "isort", "pytest", "pytest-xdist"]
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[[package]]
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name = "pyclipper"
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version = "1.3.0.post5"
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@ -4918,6 +5045,20 @@ files = [
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{file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
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]
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[[package]]
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name = "pytorch-warmup"
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version = "0.1.1"
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description = "A PyTorch Extension for Learning Rate Warmup"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "pytorch-warmup-0.1.1.tar.gz", hash = "sha256:c594760b29657a127aa6a8c3424dd0b5068140b3b7d4988118f4a9f3e99b1457"},
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{file = "pytorch_warmup-0.1.1-py3-none-any.whl", hash = "sha256:eecc4af0975bb181198c0817be145bccb17c7ea09ce3fdf69140f65d8c32b746"},
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]
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[package.dependencies]
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torch = ">=1.1"
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[[package]]
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name = "pytz"
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version = "2023.3.post1"
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@ -5758,6 +5899,53 @@ files = [
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{file = "schedule-1.2.1.tar.gz", hash = "sha256:843bc0538b99c93f02b8b50e3e39886c06f2d003b24f48e1aa4cadfa3f341279"},
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]
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[[package]]
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name = "scikit-learn"
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version = "1.3.2"
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description = "A set of python modules for machine learning and data mining"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "scikit-learn-1.3.2.tar.gz", hash = "sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05"},
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{file = "scikit_learn-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1"},
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{file = "scikit_learn-1.3.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a"},
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{file = "scikit_learn-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93"},
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|
||||
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||||
{file = "scikit_learn-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03"},
|
||||
{file = "scikit_learn-1.3.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e"},
|
||||
{file = "scikit_learn-1.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a"},
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||||
{file = "scikit_learn-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9"},
|
||||
{file = "scikit_learn-1.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0"},
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]
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||||
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[package.dependencies]
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joblib = ">=1.1.1"
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numpy = ">=1.17.3,<2.0"
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scipy = ">=1.5.0"
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threadpoolctl = ">=2.0.0"
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[package.extras]
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benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
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docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
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examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
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tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
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[[package]]
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name = "scipy"
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version = "1.11.4"
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@ -5854,6 +6042,74 @@ nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
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objc = ["pyobjc-framework-Cocoa"]
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win32 = ["pywin32"]
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[[package]]
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name = "sentencepiece"
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||||
version = "0.1.99"
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description = "SentencePiece python wrapper"
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optional = false
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||||
python-versions = "*"
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||||
files = [
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||||
{file = "sentencepiece-0.1.99-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0eb528e70571b7c02723e5804322469b82fe7ea418c96051d0286c0fa028db73"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:77d7fafb2c4e4659cbdf303929503f37a26eabc4ff31d3a79bf1c5a1b338caa7"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:be9cf5b9e404c245aeb3d3723c737ba7a8f5d4ba262ef233a431fa6c45f732a0"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:baed1a26464998f9710d20e52607c29ffd4293e7c71c6a1f83f51ad0911ec12c"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9832f08bb372d4c8b567612f8eab9e36e268dff645f1c28f9f8e851be705f6d1"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:019e7535108e309dae2b253a75834fc3128240aa87c00eb80732078cdc182588"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-win32.whl", hash = "sha256:fa16a830416bb823fa2a52cbdd474d1f7f3bba527fd2304fb4b140dad31bb9bc"},
|
||||
{file = "sentencepiece-0.1.99-cp310-cp310-win_amd64.whl", hash = "sha256:14b0eccb7b641d4591c3e12ae44cab537d68352e4d3b6424944f0c447d2348d5"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6d3c56f24183a1e8bd61043ff2c58dfecdc68a5dd8955dc13bab83afd5f76b81"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ed6ea1819fd612c989999e44a51bf556d0ef6abfb553080b9be3d347e18bcfb7"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2a0260cd1fb7bd8b4d4f39dc2444a8d5fd4e0a0c4d5c899810ef1abf99b2d45"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a1abff4d1ff81c77cac3cc6fefa34fa4b8b371e5ee51cb7e8d1ebc996d05983"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:004e6a621d4bc88978eecb6ea7959264239a17b70f2cbc348033d8195c9808ec"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db361e03342c41680afae5807590bc88aa0e17cfd1a42696a160e4005fcda03b"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-win32.whl", hash = "sha256:2d95e19168875b70df62916eb55428a0cbcb834ac51d5a7e664eda74def9e1e0"},
|
||||
{file = "sentencepiece-0.1.99-cp311-cp311-win_amd64.whl", hash = "sha256:f90d73a6f81248a909f55d8e6ef56fec32d559e1e9af045f0b0322637cb8e5c7"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:62e24c81e74bd87a6e0d63c51beb6527e4c0add67e1a17bac18bcd2076afcfeb"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:57efcc2d51caff20d9573567d9fd3f854d9efe613ed58a439c78c9f93101384a"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6a904c46197993bd1e95b93a6e373dca2f170379d64441041e2e628ad4afb16f"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d89adf59854741c0d465f0e1525b388c0d174f611cc04af54153c5c4f36088c4"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-win32.whl", hash = "sha256:47c378146928690d1bc106fdf0da768cebd03b65dd8405aa3dd88f9c81e35dba"},
|
||||
{file = "sentencepiece-0.1.99-cp36-cp36m-win_amd64.whl", hash = "sha256:9ba142e7a90dd6d823c44f9870abdad45e6c63958eb60fe44cca6828d3b69da2"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b7b1a9ae4d7c6f1f867e63370cca25cc17b6f4886729595b885ee07a58d3cec3"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d0f644c9d4d35c096a538507b2163e6191512460035bf51358794a78515b74f7"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c8843d23a0f686d85e569bd6dcd0dd0e0cbc03731e63497ca6d5bacd18df8b85"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33e6f690a1caebb4867a2e367afa1918ad35be257ecdb3455d2bbd787936f155"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-win32.whl", hash = "sha256:8a321866c2f85da7beac74a824b4ad6ddc2a4c9bccd9382529506d48f744a12c"},
|
||||
{file = "sentencepiece-0.1.99-cp37-cp37m-win_amd64.whl", hash = "sha256:c42f753bcfb7661c122a15b20be7f684b61fc8592c89c870adf52382ea72262d"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:85b476406da69c70586f0bb682fcca4c9b40e5059814f2db92303ea4585c650c"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cfbcfe13c69d3f87b7fcd5da168df7290a6d006329be71f90ba4f56bc77f8561"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:445b0ec381af1cd4eef95243e7180c63d9c384443c16c4c47a28196bd1cda937"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6890ea0f2b4703f62d0bf27932e35808b1f679bdb05c7eeb3812b935ba02001"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fb71af492b0eefbf9f2501bec97bcd043b6812ab000d119eaf4bd33f9e283d03"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:27b866b5bd3ddd54166bbcbf5c8d7dd2e0b397fac8537991c7f544220b1f67bc"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-win32.whl", hash = "sha256:b133e8a499eac49c581c3c76e9bdd08c338cc1939e441fee6f92c0ccb5f1f8be"},
|
||||
{file = "sentencepiece-0.1.99-cp38-cp38-win_amd64.whl", hash = "sha256:0eaf3591dd0690a87f44f4df129cf8d05d8a4029b5b6709b489b8e27f9a9bcff"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:38efeda9bbfb55052d482a009c6a37e52f42ebffcea9d3a98a61de7aee356a28"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6c030b081dc1e1bcc9fadc314b19b740715d3d566ad73a482da20d7d46fd444c"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:84dbe53e02e4f8a2e45d2ac3e430d5c83182142658e25edd76539b7648928727"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b0f55d0a0ee1719b4b04221fe0c9f0c3461dc3dabd77a035fa2f4788eb3ef9a"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18e800f206cd235dc27dc749299e05853a4e4332e8d3dfd81bf13d0e5b9007d9"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ae1c40cda8f9d5b0423cfa98542735c0235e7597d79caf318855cdf971b2280"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-win32.whl", hash = "sha256:c84ce33af12ca222d14a1cdd37bd76a69401e32bc68fe61c67ef6b59402f4ab8"},
|
||||
{file = "sentencepiece-0.1.99-cp39-cp39-win_amd64.whl", hash = "sha256:350e5c74d739973f1c9643edb80f7cc904dc948578bcb1d43c6f2b173e5d18dd"},
|
||||
{file = "sentencepiece-0.1.99.tar.gz", hash = "sha256:189c48f5cb2949288f97ccdb97f0473098d9c3dcf5a3d99d4eabe719ec27297f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "seqeval"
|
||||
version = "1.2.2"
|
||||
description = "Testing framework for sequence labeling"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "seqeval-1.2.2.tar.gz", hash = "sha256:f28e97c3ab96d6fcd32b648f6438ff2e09cfba87f05939da9b3970713ec56e6f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.14.0"
|
||||
scikit-learn = ">=0.21.3"
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "69.0.3"
|
||||
@ -6577,6 +6833,20 @@ files = [
|
||||
[package.dependencies]
|
||||
mpmath = ">=0.19"
|
||||
|
||||
[[package]]
|
||||
name = "tabulate"
|
||||
version = "0.9.0"
|
||||
description = "Pretty-print tabular data"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"},
|
||||
{file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
widechars = ["wcwidth"]
|
||||
|
||||
[[package]]
|
||||
name = "tenacity"
|
||||
version = "8.2.3"
|
||||
@ -6591,6 +6861,20 @@ files = [
|
||||
[package.extras]
|
||||
doc = ["reno", "sphinx", "tornado (>=4.5)"]
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
version = "2.4.0"
|
||||
description = "ANSI color formatting for output in terminal"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
|
||||
{file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
tests = ["pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "terminado"
|
||||
version = "0.18.0"
|
||||
@ -6694,6 +6978,34 @@ mxnet = ["mxnet (>=1.5.1,<1.6.0)"]
|
||||
tensorflow = ["tensorflow (>=2.0.0,<2.6.0)"]
|
||||
torch = ["torch (>=1.6.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "threadpoolctl"
|
||||
version = "3.2.0"
|
||||
description = "threadpoolctl"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
|
||||
{file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tikzplotlib"
|
||||
version = "0.10.1"
|
||||
description = "Convert matplotlib figures into TikZ/PGFPlots"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tikzplotlib-0.10.1-py3-none-any.whl", hash = "sha256:bf0451b86fe4db40aa742f7e5a180dfaaadf57c746ddb2ab7e58a5163d8be75f"},
|
||||
{file = "tikzplotlib-0.10.1.tar.gz", hash = "sha256:93d141342d143804fc1dfabe03e6d4e38e547cf72803bdf124615affdd56f59d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
matplotlib = ">=1.4.0"
|
||||
numpy = "*"
|
||||
Pillow = "*"
|
||||
webcolors = "*"
|
||||
|
||||
[[package]]
|
||||
name = "tinycss2"
|
||||
version = "1.2.1"
|
||||
@ -7229,6 +7541,25 @@ tzdata = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
[package.extras]
|
||||
devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
|
||||
|
||||
[[package]]
|
||||
name = "update-checker"
|
||||
version = "0.18.0"
|
||||
description = "A python module that will check for package updates."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "update_checker-0.18.0-py3-none-any.whl", hash = "sha256:cbba64760a36fe2640d80d85306e8fe82b6816659190993b7bdabadee4d4bbfd"},
|
||||
{file = "update_checker-0.18.0.tar.gz", hash = "sha256:6a2d45bb4ac585884a6b03f9eade9161cedd9e8111545141e9aa9058932acb13"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
requests = ">=2.3.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["black", "flake8", "pytest (>=2.7.3)"]
|
||||
lint = ["black", "flake8"]
|
||||
test = ["pytest (>=2.7.3)"]
|
||||
|
||||
[[package]]
|
||||
name = "uri-template"
|
||||
version = "1.3.0"
|
||||
@ -7427,6 +7758,17 @@ files = [
|
||||
[package.dependencies]
|
||||
h11 = ">=0.9.0,<1"
|
||||
|
||||
[[package]]
|
||||
name = "xlsxwriter"
|
||||
version = "3.1.9"
|
||||
description = "A Python module for creating Excel XLSX files."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "XlsxWriter-3.1.9-py3-none-any.whl", hash = "sha256:b61c1a0c786f82644936c0936ec96ee96cd3afb9440094232f7faef9b38689f0"},
|
||||
{file = "XlsxWriter-3.1.9.tar.gz", hash = "sha256:de810bf328c6a4550f4ffd6b0b34972aeb7ffcf40f3d285a0413734f9b63a929"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "xmltodict"
|
||||
version = "0.13.0"
|
||||
@ -7461,4 +7803,4 @@ web-server = ["dash", "dash-auth", "dash-bootstrap-components", "dash-daq", "net
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.11,<3.13"
|
||||
content-hash = "1c754a05ecaa96c8fad0d26f3c154aaea085408cdb530bee1cb77c79b515aa25"
|
||||
content-hash = "6b3aae3513a6c625f94a861bd33100c5f5df168c631fb9535054338ff4c6461d"
|
||||
|
@ -78,6 +78,7 @@ torch = {version = "*", source = "torch-cpu"}
|
||||
tqdm = "^4.66.1"
|
||||
transformers = {version = "*", extras = ["torch"]}
|
||||
xmltodict = "^0.13.0"
|
||||
pyabsa = "^2.4.0"
|
||||
|
||||
[tool.poetry.extras]
|
||||
ingest = ["selenium", "deutschland", "xmltodict", "html5lib"]
|
||||
|
Loading…
x
Reference in New Issue
Block a user