poetry.lock

[[package]]
name = "certifi"
version = "2022.6.15"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
python-versions = ">=3.6"

[[package]]
name = "charset-normalizer"
version = "2.1.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "main"
optional = false
python-versions = ">=3.6.0"

[package.extras]
unicode_backport = ["unicodedata2"]

[[package]]
name = "idna"
version = "3.3"
description = "Internationalized Domain Names in Applications (IDNA)"
category = "main"
optional = false
python-versions = ">=3.5"

[[package]]
name = "joblib"
version = "1.1.0"
description = "Lightweight pipelining with Python functions"
category = "main"
optional = false
python-versions = ">=3.6"

[[package]]
name = "numpy"
version = "1.23.1"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.8"

[[package]]
name = "requests"
version = "2.28.1"
description = "Python HTTP for Humans."
category = "main"
optional = false
python-versions = ">=3.7, <4"

[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<3"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<1.27"

[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]

[[package]]
name = "scikit-learn"
version = "1.1.1"
description = "A set of python modules for machine learning and data mining"
category = "main"
optional = false
python-versions = ">=3.8"

[package.dependencies]
joblib = ">=1.0.0"
numpy = ">=1.17.3"
scipy = ">=1.3.2"
threadpoolctl = ">=2.0.0"

[package.extras]
benchmark = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "memory-profiler (>=0.57.0)"]
docs = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.2.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
examples = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)"]
tests = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=22.3.0)", "mypy (>=0.770)", "pyamg (>=4.0.0)", "numpydoc (>=1.2.0)"]

[[package]]
name = "scipy"
version = "1.8.1"
description = "SciPy: Scientific Library for Python"
category = "main"
optional = false
python-versions = ">=3.8,<3.11"

[package.dependencies]
numpy = ">=1.17.3,<1.25.0"

[[package]]
name = "threadpoolctl"
version = "3.1.0"
description = "threadpoolctl"
category = "main"
optional = false
python-versions = ">=3.6"

[[package]]
name = "urllib3"
version = "1.26.10"
description = "HTTP library with thread-safe connection pooling, file post, and more."
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"

[package.extras]
brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]

[metadata]
lock-version = "1.1"
python-versions = "3.10.3"
content-hash = "5060e93044d08a200b3953a4aeafc0704f1987b46d2ea2d9ff20fa58f6a667e0"

[metadata.files]
certifi = [
    {file = "certifi-2022.6.15-py3-none-any.whl", hash = "sha256:fe86415d55e84719d75f8b69414f6438ac3547d2078ab91b67e779ef69378412"},
    {file = "certifi-2022.6.15.tar.gz", hash = "sha256:84c85a9078b11105f04f3036a9482ae10e4621616db313fe045dd24743a0820d"},
]
charset-normalizer = []
idna = [
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    {file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
]
joblib = []
numpy = []
requests = []
scikit-learn = []
scipy = []
threadpoolctl = []
urllib3 = []