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144 lines
4.2 KiB
Python
144 lines
4.2 KiB
Python
from __future__ import annotations
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import importlib
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import sys
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import types
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import warnings
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from pandas.util.version import Version
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# Update install.rst when updating versions!
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VERSIONS = {
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"bs4": "4.6.0",
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"bottleneck": "1.2.1",
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"fsspec": "0.7.4",
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"fastparquet": "0.4.0",
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"gcsfs": "0.6.0",
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"lxml.etree": "4.3.0",
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"matplotlib": "2.2.3",
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"numexpr": "2.7.0",
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"odfpy": "1.3.0",
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"openpyxl": "3.0.0",
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"pandas_gbq": "0.12.0",
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"pyarrow": "0.17.0",
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"pytest": "6.0",
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"pyxlsb": "1.0.6",
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"s3fs": "0.4.0",
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"scipy": "1.2.0",
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"sqlalchemy": "1.3.0",
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"tables": "3.5.1",
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"tabulate": "0.8.7",
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"xarray": "0.12.3",
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"xlrd": "1.2.0",
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"xlwt": "1.3.0",
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"xlsxwriter": "1.0.2",
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"numba": "0.46.0",
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}
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# A mapping from import name to package name (on PyPI) for packages where
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# these two names are different.
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INSTALL_MAPPING = {
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"bs4": "beautifulsoup4",
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"bottleneck": "Bottleneck",
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"lxml.etree": "lxml",
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"odf": "odfpy",
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"pandas_gbq": "pandas-gbq",
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"sqlalchemy": "SQLAlchemy",
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"jinja2": "Jinja2",
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}
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def get_version(module: types.ModuleType) -> str:
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version = getattr(module, "__version__", None)
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if version is None:
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# xlrd uses a capitalized attribute name
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version = getattr(module, "__VERSION__", None)
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if version is None:
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raise ImportError(f"Can't determine version for {module.__name__}")
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return version
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def import_optional_dependency(
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name: str,
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extra: str = "",
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errors: str = "raise",
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min_version: str | None = None,
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):
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"""
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Import an optional dependency.
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By default, if a dependency is missing an ImportError with a nice
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message will be raised. If a dependency is present, but too old,
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we raise.
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Parameters
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----------
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name : str
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The module name.
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extra : str
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Additional text to include in the ImportError message.
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errors : str {'raise', 'warn', 'ignore'}
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What to do when a dependency is not found or its version is too old.
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* raise : Raise an ImportError
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* warn : Only applicable when a module's version is to old.
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Warns that the version is too old and returns None
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* ignore: If the module is not installed, return None, otherwise,
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return the module, even if the version is too old.
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It's expected that users validate the version locally when
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using ``errors="ignore"`` (see. ``io/html.py``)
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min_version : str, default None
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Specify a minimum version that is different from the global pandas
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minimum version required.
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Returns
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-------
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maybe_module : Optional[ModuleType]
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The imported module, when found and the version is correct.
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None is returned when the package is not found and `errors`
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is False, or when the package's version is too old and `errors`
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is ``'warn'``.
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"""
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assert errors in {"warn", "raise", "ignore"}
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package_name = INSTALL_MAPPING.get(name)
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install_name = package_name if package_name is not None else name
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msg = (
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f"Missing optional dependency '{install_name}'. {extra} "
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f"Use pip or conda to install {install_name}."
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)
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try:
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module = importlib.import_module(name)
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except ImportError:
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if errors == "raise":
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raise ImportError(msg) from None
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else:
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return None
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# Handle submodules: if we have submodule, grab parent module from sys.modules
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parent = name.split(".")[0]
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if parent != name:
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install_name = parent
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module_to_get = sys.modules[install_name]
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else:
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module_to_get = module
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minimum_version = min_version if min_version is not None else VERSIONS.get(parent)
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if minimum_version:
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version = get_version(module_to_get)
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if Version(version) < Version(minimum_version):
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msg = (
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f"Pandas requires version '{minimum_version}' or newer of '{parent}' "
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f"(version '{version}' currently installed)."
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)
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if errors == "warn":
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warnings.warn(msg, UserWarning)
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return None
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elif errors == "raise":
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raise ImportError(msg)
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return module
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