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poetry.lock
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[[package]]
name = "delta-spark"
version = "2.1.1"
description = "Python APIs for using Delta Lake with Apache Spark"
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
importlib-metadata = ">=1.0.0"
pyspark = ">=3.3.0,<3.4.0"
[[package]]
name = "importlib-metadata"
version = "5.1.0"
description = "Read metadata from Python packages"
category = "main"
optional = false
python-versions = ">=3.7"
[package.dependencies]
zipp = ">=0.5"
[package.extras]
docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
perf = ["ipython"]
testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "pytest-flake8", "importlib-resources (>=1.3)"]
[[package]]
name = "numpy"
version = "1.23.5"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.8"
[[package]]
name = "pandas"
version = "1.5.2"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
python-versions = ">=3.8"
[package.dependencies]
numpy = {version = ">=1.20.3", markers = "python_version < \"3.10\""}
python-dateutil = ">=2.8.1"
pytz = ">=2020.1"
[package.extras]
test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
[[package]]
name = "py4j"
version = "0.10.9.5"
description = "Enables Python programs to dynamically access arbitrary Java objects"
category = "main"
optional = false
python-versions = "*"
[[package]]
name = "pyspark"
version = "3.3.1"
description = "Apache Spark Python API"
category = "main"
optional = false
python-versions = ">=3.7"
[package.dependencies]
py4j = "0.10.9.5"
[package.extras]
ml = ["numpy (>=1.15)"]
mllib = ["numpy (>=1.15)"]
pandas_on_spark = ["numpy (>=1.15)", "pandas (>=1.0.5)", "pyarrow (>=1.0.0)"]
sql = ["pandas (>=1.0.5)", "pyarrow (>=1.0.0)"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
category = "main"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
[package.dependencies]
six = ">=1.5"
[[package]]
name = "pytz"
version = "2022.6"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
python-versions = "*"
[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
[[package]]
name = "zipp"
version = "3.11.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
category = "main"
optional = false
python-versions = ">=3.7"
[package.extras]
docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "pytest-flake8"]
[metadata]
lock-version = "1.1"
python-versions = "3.9"
content-hash = "6343b9c91437e15eaf80cbbedabbc9cdc2d86926db3723b29f1c1413b0e70e5d"
[metadata.files]
delta-spark = []
importlib-metadata = []
numpy = []
pandas = []
py4j = []
pyspark = []
python-dateutil = [
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
]
pytz = []
six = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
zipp = []