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setup.py
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setup.py
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# -*- coding: utf-8 -*-
from setuptools import setup
packages = [
'ibis',
'ibis.backends',
'ibis.backends.base',
'ibis.backends.base.sql',
'ibis.backends.base.sql.alchemy',
'ibis.backends.base.sql.compiler',
'ibis.backends.base.sql.registry',
'ibis.backends.clickhouse',
'ibis.backends.clickhouse.tests',
'ibis.backends.dask',
'ibis.backends.dask.execution',
'ibis.backends.dask.tests',
'ibis.backends.dask.tests.execution',
'ibis.backends.datafusion',
'ibis.backends.datafusion.tests',
'ibis.backends.duckdb',
'ibis.backends.duckdb.tests',
'ibis.backends.impala',
'ibis.backends.impala.tests',
'ibis.backends.mysql',
'ibis.backends.mysql.tests',
'ibis.backends.pandas',
'ibis.backends.pandas.execution',
'ibis.backends.pandas.tests',
'ibis.backends.pandas.tests.execution',
'ibis.backends.postgres',
'ibis.backends.postgres.tests',
'ibis.backends.pyarrow',
'ibis.backends.pyspark',
'ibis.backends.pyspark.tests',
'ibis.backends.sqlite',
'ibis.backends.sqlite.tests',
'ibis.backends.tests',
'ibis.common',
'ibis.common.tests',
'ibis.expr',
'ibis.expr.datatypes',
'ibis.expr.operations',
'ibis.expr.types',
'ibis.tests',
'ibis.tests.benchmarks',
'ibis.tests.expr',
'ibis.tests.sql',
'ibis.udf',
]
package_data = {'': ['*']}
install_requires = [
'atpublic>=2.3,<4',
'cached_property>=1,<2',
'multipledispatch>=0.6,<0.7',
'numpy>=1,<2',
'packaging>=21.3,<22',
'pandas>=1.2.5,<2',
'parsy>=1.3.0,<2',
'pydantic>=1.9.0,<2',
'regex>=2021.7.6',
'tabulate>=0.8.9,<1',
'toolz>=0.11,<0.12',
]
extras_require = {
':python_version < "3.10"': ['importlib-metadata>=4,<5'],
'all': [
'clickhouse-cityhash>=1.0.2,<2',
'clickhouse-driver[numpy]>=0.1,<0.3',
'dask[array,dataframe]>=2021.10.0',
'datafusion>=0.4,<0.7',
'duckdb>=0.3.2,<0.4.0',
'duckdb-engine>=0.1.8,<0.2.0',
'fsspec>=2022.1.0',
'GeoAlchemy2>=0.6.3,<0.13',
'geopandas>=0.6,<0.12',
'graphviz>=0.16,<0.21',
'impyla[kerberos]>=0.17,<0.19',
'lz4>=3.1.10,<5',
'psycopg2>=2.8.4,<3',
'pyarrow>=1,<9',
'pymysql>=1,<2',
'pyspark>=3,<4',
'requests>=2,<3',
'Shapely>=1.6,<1.8.3',
'sqlalchemy>=1.4,<2.0',
],
'clickhouse': [
'clickhouse-cityhash>=1.0.2,<2',
'clickhouse-driver[numpy]>=0.1,<0.3',
'lz4>=3.1.10,<5',
],
'dask': ['dask[array,dataframe]>=2021.10.0', 'pyarrow>=1,<9'],
'datafusion': ['datafusion>=0.4,<0.7'],
'duckdb': [
'duckdb>=0.3.2,<0.4.0',
'duckdb-engine>=0.1.8,<0.2.0',
'sqlalchemy>=1.4,<2.0',
],
'geospatial': [
'GeoAlchemy2>=0.6.3,<0.13',
'geopandas>=0.6,<0.12',
'Shapely>=1.6,<1.8.3',
],
'impala': [
'fsspec>=2022.1.0',
'impyla[kerberos]>=0.17,<0.19',
'requests>=2,<3',
],
'mysql': ['pymysql>=1,<2', 'sqlalchemy>=1.4,<2.0'],
'postgres': ['psycopg2>=2.8.4,<3', 'sqlalchemy>=1.4,<2.0'],
'pyspark': ['pyarrow>=1,<9', 'pyspark>=3,<4'],
'sqlite': ['sqlalchemy>=1.4,<2.0'],
'visualization': ['graphviz>=0.16,<0.21'],
}
entry_points = {
'ibis.backends': [
'clickhouse = ibis.backends.clickhouse',
'dask = ibis.backends.dask',
'datafusion = ibis.backends.datafusion',
'duckdb = ibis.backends.duckdb',
'impala = ibis.backends.impala',
'mysql = ibis.backends.mysql',
'pandas = ibis.backends.pandas',
'postgres = ibis.backends.postgres',
'pyspark = ibis.backends.pyspark',
'spark = ibis.backends.pyspark',
'sqlite = ibis.backends.sqlite',
]
}
setup_kwargs = {
'name': 'ibis-framework',
'version': '3.0.2',
'description': 'Productivity-centric Python Big Data Framework',
'long_description': '# Ibis: Expressive analytics in Python at any scale\n\n| Service | Status |\n| -------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Documentation | [](http://ibis-project.org) |\n| Conda packages | [](https://anaconda.org/conda-forge/ibis-framework) |\n| PyPI | [](https://pypi.org/project/ibis-framework) |\n| Ibis CI | [](https://github.com/ibis-project/ibis/actions/workflows/ibis-main.yml?query=branch%3Amaster) |\n| Backend CI | [](https://github.com/ibis-project/ibis/actions/workflows/ibis-backends.yml?query=branch%3Amaster) |\n| Coverage | [](https://codecov.io/gh/ibis-project/ibis) |\n\nIbis is a Python library to help you write expressive analytics at any scale,\nsmall to large. Its goal is to simplify analytical workflows and make you more\nproductive.\n\nInstall Ibis from PyPI with:\n\n```sh\npip install ibis-framework\n```\n\nor from conda-forge with\n\n```sh\nconda install ibis-framework -c conda-forge\n```\n\nIbis provides tools for interacting with the following systems:\n\n- [Apache Impala](https://ibis-project.org/docs/latest/backends/Impala/)\n- [Google BigQuery](https://github.com/ibis-project/ibis-bigquery)\n- [ClickHouse](https://ibis-project.org/docs/latest/backends/ClickHouse/)\n- [Dask](https://ibis-project.org/docs/latest/backends/Dask/)\n- [DuckDB](https://ibis-project.org/docs/latest/backends/DuckDB/)\n- [MySQL](https://ibis-project.org/docs/latest/backends/MySQL/)\n- [Pandas](https://ibis-project.org/docs/latest/backends/Pandas/)\n- [PostgreSQL](https://ibis-project.org/docs/latest/backends/PostgreSQL/)\n- [PySpark](https://ibis-project.org/docs/latest/backends/PySpark/)\n- [SQLite](https://ibis-project.org/docs/latest/backends/SQLite/)\n\nLearn more about using the library at https://ibis-project.org.\n',
'author': 'Ibis Contributors',
'author_email': None,
'maintainer': 'Ibis Contributors',
'maintainer_email': None,
'url': 'https://ibis-project.org',
'packages': packages,
'package_data': package_data,
'install_requires': install_requires,
'extras_require': extras_require,
'entry_points': entry_points,
'python_requires': '>=3.8,<3.11',
}
setup(**setup_kwargs)