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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "ibis-framework"
version = "4.1.0"
packages = [{ include = "ibis" }]
homepage = "https://ibis-project.org"
repository = "https://github.com/ibis-project/ibis"
documentation = "https://ibis-project.org"
description = "Productivity-centric Python Big Data Framework"
authors = ["Ibis Contributors"]
maintainers = ["Ibis Contributors"]
license = "Apache-2.0"
readme = "README.md"
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python",
"Topic :: Scientific/Engineering",
]
[tool.poetry.urls]
"Issue Tracker" = "https://github.com/ibis-project/ibis/issues"
[tool.poetry.dependencies]
python = "^3.8"
atpublic = ">=2.3,<4"
multipledispatch = ">=0.6,<1"
numpy = ">=1,<2"
pandas = ">=1.2.5,<2"
parsy = ">=2,<3"
python-dateutil = ">=2.8.2,<3"
pytz = ">=2022.7"
rich = ">=12.4.4,<14"
sqlglot = ">=10.4.3,<12"
toolz = ">=0.11,<1"
typing-extensions = ">=4.3.0,<5"
black = { version = ">=22.1.0,<24", optional = true }
clickhouse-cityhash = { version = ">=1.0.2,<2", optional = true }
clickhouse-driver = { version = ">=0.1,<1", optional = true, extras = [
"numpy"
] }
dask = { version = ">=2022.9.1", optional = true, extras = [
"array",
"dataframe"
] }
datafusion = { version = ">=0.6,<0.8", optional = true }
db-dtypes = { version = ">=0.3,<2", optional = true }
duckdb = { version = ">=0.3.3,<1", optional = true }
duckdb-engine = { version = ">=0.1.8,<1", optional = true }
fsspec = { version = ">=2022.1.0", optional = true }
GeoAlchemy2 = { version = ">=0.6.3,<1,!=0.13.0", optional = true }
geopandas = { version = ">=0.6,<1", optional = true }
google-cloud-bigquery = { version = ">=3,<4", optional = true }
google-cloud-bigquery-storage = { version = ">=2,<3", optional = true }
graphviz = { version = ">=0.16,<1", optional = true }
impyla = { version = ">=0.17,<1", optional = true }
lz4 = { version = ">=3.1.10,<5", optional = true }
polars = { version = ">=0.14.18,<1", optional = true }
psycopg2 = { version = ">=2.8.4,<3", optional = true }
pyarrow = { version = ">=2,<12", optional = true }
pymssql = { version = ">=2.2.5,<3", optional = true }
pydata-google-auth = { version = ">=1.4.0,<2", optional = true }
pymysql = { version = ">=1,<2", optional = true }
pyspark = { version = ">=3,<4", optional = true }
# used to support posix regexen in the pandas, dask and sqlite backends
regex = { version = ">=2021.7.6", optional = true }
requests = { version = ">=2,<3", optional = true }
shapely = { version = ">=1.6,<1.8|>=1.9,<3", optional = true }
# include an explicit dependency on `snowflake-connector-python` because the
# lack of lower bound on this dependency as specified in `snowflake-sqlalchemy`
# appears to cause poetry's solver to get stuck
#
# also, we don't support arbitrarily old versions of this library
snowflake-connector-python = { version = ">=2.7.10,<3", optional = true }
snowflake-sqlalchemy = { version = ">=1.4.1,<2", optional = true }
sqlalchemy = { version = ">=1.4,<3", optional = true }
sqlalchemy-views = { version = ">=0.3.1,<1", optional = true }
trino = { version = ">=0.319,<1", optional = true, extras = ["sqlalchemy"] }
[tool.poetry.group.dev.dependencies]
black = ">=22.1.0,<24"
ipython = ">=7.27.0,<9"
poetry-dynamic-versioning = ">=0.18.0,<1"
ruff = ">=0.0.205,<1"
[tool.poetry.group.test.dependencies]
black = ">=22.1.0,<24"
filelock = ">=3.7.0,<4"
packaging = ">=21.3,<24"
pytest = ">=7.0.0,<8"
pytest-benchmark = ">=3.4.1,<5"
pytest-clarity = ">=1.0.1,<2"
pytest-cov = ">=3.0.0,<5"
pytest-mock = ">=3.6.1,<4"
pytest-profiling = ">=1.7.0,<2"
pytest-randomly = ">=3.10.1,<4"
pytest-repeat = ">=0.9.1,<0.10"
pytest-snapshot = ">=0.9.0,<1"
pytest-xdist = ">=2.3.0,<4"
hypothesis = ">=6.58.0,<7"
sqlalchemy = ">=1.4,<3"
[tool.poetry.group.docs.dependencies]
griffe = ">=0.25.3,<1"
ipykernel = ">=6,<7"
mkdocs = ">=1.2.3,<1.4.3"
mkdocs-exclude = ">=1.0.2,<2"
mkdocs-gen-files = ">=0.3.4,<0.5.0"
mkdocs-git-revision-date-localized-plugin = ">=1.1.0,<2"
mkdocs-jupyter = ">=0.20.0,<1"
mkdocs-literate-nav = ">=0.4.1,<1"
mkdocs-macros-plugin = ">=0.6.3,<1"
mkdocs-material = ">=8.2.1,<9.0.2"
mkdocstrings = ">=0.19.1,<1"
mkdocstrings-python = ">=0.8.3,<1"
requests = ">=2,<3"
streamlit = { version = ">=1.17.0,<2", python = "!=3.9.7" }
[tool.poetry.extras]
# generate the `all` extra using nix run '.#gen-all-extras'
all = [
"black",
"clickhouse-cityhash",
"clickhouse-driver",
"dask",
"datafusion",
"db-dtypes",
"duckdb",
"duckdb-engine",
"fsspec",
"geoalchemy2",
"geopandas",
"google-cloud-bigquery",
"google-cloud-bigquery-storage",
"graphviz",
"impyla",
"lz4",
"polars",
"psycopg2",
"pyarrow",
"pydata-google-auth",
"pymssql",
"pymysql",
"pyspark",
"regex",
"requests",
"shapely",
"snowflake-connector-python",
"snowflake-sqlalchemy",
"sqlalchemy",
"sqlalchemy-views",
"trino"
]
bigquery = [
"db-dtypes",
"google-cloud-bigquery",
"google-cloud-bigquery-storage",
"pydata-google-auth",
]
clickhouse = ["clickhouse-driver", "clickhouse-cityhash", "lz4"]
dask = ["dask", "pyarrow", "regex"]
datafusion = ["datafusion"]
duckdb = [
"duckdb",
"duckdb-engine",
"pyarrow",
"sqlalchemy",
"sqlalchemy-views"
]
geospatial = ["geoalchemy2", "geopandas", "shapely"]
impala = ["fsspec", "impyla", "requests", "sqlalchemy"]
mssql = ["sqlalchemy", "pymssql"]
mysql = ["sqlalchemy", "pymysql"]
pandas = ["regex"]
polars = ["polars", "pyarrow"]
postgres = ["psycopg2", "sqlalchemy"]
pyspark = ["pyarrow", "pyspark"]
snowflake = ["snowflake-connector-python", "snowflake-sqlalchemy"]
sqlite = ["regex", "sqlalchemy"]
trino = ["trino", "sqlalchemy"]
# non-backend extras
visualization = ["graphviz"]
decompiler = ["black"]
[tool.poetry.plugins."ibis.backends"]
bigquery = "ibis.backends.bigquery"
clickhouse = "ibis.backends.clickhouse"
dask = "ibis.backends.dask"
datafusion = "ibis.backends.datafusion"
duckdb = "ibis.backends.duckdb"
impala = "ibis.backends.impala"
mysql = "ibis.backends.mysql"
mssql = "ibis.backends.mssql"
pandas = "ibis.backends.pandas"
polars = "ibis.backends.polars"
postgres = "ibis.backends.postgres"
pyspark = "ibis.backends.pyspark"
snowflake = "ibis.backends.snowflake"
spark = "ibis.backends.pyspark"
sqlite = "ibis.backends.sqlite"
trino = "ibis.backends.trino"
[tool.pytest.ini_options]
doctest_optionflags = [
"NORMALIZE_WHITESPACE",
"IGNORE_EXCEPTION_DETAIL",
"ELLIPSIS"
]
xfail_strict = true
addopts = [
"--ignore=site-packages",
"--ignore=dist-packages",
"--strict-markers",
"--strict-config",
"--benchmark-disable",
"--benchmark-group-by=name",
"--benchmark-sort=name",
]
filterwarnings = [
# fail on any warnings that are not explicitly matched below
"error",
# pyspark and impala leave sockets open
"ignore:Exception ignored in:",
# dask
"ignore:index is deprecated and will be removed in a future release:FutureWarning",
"ignore:`meta` is not specified:UserWarning",
"ignore:Concatenating dataframes with unknown divisions:UserWarning",
"ignore:Possible nested set at position:FutureWarning",
'ignore:\s+You did not provide metadata:UserWarning',
# pandas
"ignore:Boolean Series key will be reindexed:UserWarning",
'ignore:Using \.astype to convert from timezone-(naive|aware) dtype:FutureWarning',
"ignore:The default dtype for empty Series will be 'object':FutureWarning",
# pandas 1.5.x
"ignore:iteritems is deprecated and will be removed in a future version:FutureWarning",
'ignore:Passing unit-less datetime64 dtype to \.astype is deprecated:FutureWarning',
'ignore:The default value of numeric_only in DataFrameGroupBy\.sum is deprecated:FutureWarning',
# numpy
"ignore:Creating an ndarray from ragged nested sequences:",
'ignore:`np\.bool` is a deprecated alias for the builtin `bool`:DeprecationWarning',
# numpy, coming from a pandas call
'ignore:In the future `np\.bool` will be defined as the corresponding NumPy scalar:FutureWarning',
# duckdb-engine
'ignore:Dialect .+ does \*not\* support Decimal:',
"ignore:duckdb-engine doesn't yet support reflection on indices:",
# ibis
'ignore:`(Base)?Backend.database` is deprecated:FutureWarning',
# ibis on postgres + windows
"ignore:locale specific date formats:UserWarning",
# spark
"ignore:distutils Version classes are deprecated:DeprecationWarning",
"ignore:The distutils package is deprecated and slated for removal:DeprecationWarning",
"ignore:In Python .*, it is preferred .* type hints .* UDF:UserWarning",
"ignore:`np.object` is a deprecated alias for the builtin `object`:DeprecationWarning",
# windows
"ignore:getargs.* The 'u' format is deprecated:DeprecationWarning",
# sqlalchemy
"ignore:Class ST_.+ will not make use of SQL compilation caching:",
"ignore:UserDefinedType Geometry:",
]
empty_parameter_set_mark = "fail_at_collect"
norecursedirs = [
".benchmarks",
".direnv",
".git",
".github",
"LICENSES",
"ci",
"conda-lock",
"dev",
"docker",
"nix",
"result",
"result-*",
]
markers = [
"backend: tests specific to a backend",
"benchmark: benchmarks",
"core: tests that do not required a backend",
"geospatial: tests for geospatial functionality",
"hdfs: Hadoop file system tests",
"min_version: backend tests that require a specific version of a dependency to pass",
"min_server_version: backend tests that require a specific version of a backend's server to pass",
"xfail_version: backend tests that for a specific version of a dependency",
"notimpl: functionality that isn't implemented in ibis",
"notyet: for functionality that isn't implemented in a backend",
"never: tests for functionality that a backend is likely to never implement",
"broken: test has exposed existing broken functionality",
"sqlalchemy_only: tests for SQLAlchemy based backends",
"bigquery: BigQuery tests",
"clickhouse: ClickHouse tests",
"dask: Dask tests",
"datafusion: Apache Datafusion tests",
"duckdb: DuckDB tests",
"impala: Apache Impala tests",
"mysql: MySQL tests",
"mssql: MS SQL Server tests",
"pandas: Pandas tests",
"polars: Polars tests",
"postgres: PostgreSQL tests",
"pyspark: PySpark tests",
"snowflake: Snowflake tests",
"sqlite: SQLite tests",
"trino: Trino tests",
]
[tool.ruff]
line-length = 88
select = [
"B", # flake8-bugbear
"BLE", # flake8-blind-except
"C4", # comprehensions
"D", # pydocstyle
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"ICN", # flake8-import-conventions
"ISC", # flake8-implicit-str-concat
"PGH", # pygrep-hooks
"PLC", # pylint
"PLE", # pylint
"PLR", # pylint import style
"PLW", # pylint
"RET", # flake8-return
"RUF", # ruff-specific rules
"SIM", # flake8-simplify
"T10", # flake8-debugger
"T20", # flake8-print
"TID", # flake8-tidy-imports
"UP", # pyupgrade
"W", # pycodestyle
"YTT", # flake8-2020
]
respect-gitignore = true
ignore = [
"B904", # raise from e or raise from None in exception handlers
"C408", # dict(...) as literal
"D100", # public module
"D101", # public class
"D102", # public method
"D103", # public function
"D104", # public package
"D105", # magic methods
"D106", # nested class
"D107", # init
"D202", # blank lines after function docstring
"D203", # blank line before class docstring
"D213", # Multi-line docstring summary should start at the second line
"D401", # Imperative mood
"D402", # First line should not be the function's signature
"E501",
"E731",
"PGH003",
"PLR0911", # too many return statements
"PLR0912", # too many branches
"PLR0913", # too many arguments
"PLR0915", # too many statements
"PLR2004", # forces everything to be a constant
"RET504",
"RET505",
"RET506",
"RET507",
"RET508",
"RUF005", # splat instead of concat
"SIM102", # nested ifs
"SIM108", # convert everything to ternary operator
"SIM117", # nested withs
"SIM118", # remove .keys() calls from dictionaries
"SIM300", # yoda conditions
"UP037", # remove quotes from type annotation
]
exclude = ["*_py310.py", "ibis/tests/*/snapshots/*"]
target-version = "py38"
# none of these codes will be automatically fixed by ruff
unfixable = [
"T201", # print statements
"F401", # unused imports
"RUF100", # unused noqa comments
"F841", # unused variables
]
[tool.ruff.per-file-ignores]
"*test*.py" = [
"D", # ignore all docstring lints in tests
]
"ci/release/verify_release.py" = ["T201"] # CLI tool that prints stuff
[tool.black]
line_length = 88
skip_string_normalization = true
extend_exclude = '\.ipynb|\.direnv|result(-\d+)|_py310\.py|decompiled\.py'
[tool.conda-lock]
channels = ["conda-forge"]
[tool.conda-lock.dependencies]
# conda-lock doesn't map dependencies' extras to conda-forge packages and we
# use the array and dataframe extras from dask
dask = ">=2021.10.0"
[tool.coverage.run]
branch = true
source = ["ibis"]
[tool.coverage.report]
exclude_lines = [
"if self.debug:",
"pragma: no cover",
"raise NotImplementedError",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]
ignore_errors = true
omit = ["*_version.py", "*tests*"]
[tool.distutils.bdist_wheel]
# universal = true is for projects that support py2 and py3, and do not have C
# extensions
universal = false
[tool.poetry-dynamic-versioning]
enable = true
dirty = true
style = "semver"
pattern = '^(?P<base>\d+(\.\d+)*)'
[build-system]
requires = ["poetry-core>=1.1.0", "poetry-dynamic-versioning"]
build-backend = "poetry.core.masonry.api"