Projekt_AI-Automatyczny_saper/venv/Lib/site-packages/pandas/compat/_optional.py
2021-05-18 00:21:14 +02:00

129 lines
3.8 KiB
Python

import distutils.version
import importlib
import types
import warnings
# Update install.rst when updating versions!
VERSIONS = {
"bs4": "4.6.0",
"bottleneck": "1.2.1",
"fsspec": "0.7.4",
"fastparquet": "0.3.2",
"gcsfs": "0.6.0",
"lxml.etree": "4.3.0",
"matplotlib": "2.2.3",
"numexpr": "2.6.8",
"odfpy": "1.3.0",
"openpyxl": "2.6.0",
"pandas_gbq": "0.12.0",
"pyarrow": "0.15.0",
"pytest": "5.0.1",
"pyxlsb": "1.0.6",
"s3fs": "0.4.0",
"scipy": "1.2.0",
"sqlalchemy": "1.2.8",
"tables": "3.5.1",
"tabulate": "0.8.3",
"xarray": "0.12.3",
"xlrd": "1.2.0",
"xlwt": "1.3.0",
"xlsxwriter": "1.0.2",
"numba": "0.46.0",
}
# A mapping from import name to package name (on PyPI) for packages where
# these two names are different.
INSTALL_MAPPING = {
"bs4": "beautifulsoup4",
"bottleneck": "Bottleneck",
"lxml.etree": "lxml",
"odf": "odfpy",
"pandas_gbq": "pandas-gbq",
"sqlalchemy": "SQLAlchemy",
"jinja2": "Jinja2",
}
def get_version(module: types.ModuleType) -> str:
version = getattr(module, "__version__", None)
if version is None:
# xlrd uses a capitalized attribute name
version = getattr(module, "__VERSION__", None)
if version is None:
raise ImportError(f"Can't determine version for {module.__name__}")
return version
def import_optional_dependency(
name: str, extra: str = "", raise_on_missing: bool = True, on_version: str = "raise"
):
"""
Import an optional dependency.
By default, if a dependency is missing an ImportError with a nice
message will be raised. If a dependency is present, but too old,
we raise.
Parameters
----------
name : str
The module name. This should be top-level only, so that the
version may be checked.
extra : str
Additional text to include in the ImportError message.
raise_on_missing : bool, default True
Whether to raise if the optional dependency is not found.
When False and the module is not present, None is returned.
on_version : str {'raise', 'warn'}
What to do when a dependency's version is too old.
* raise : Raise an ImportError
* warn : Warn that the version is too old. Returns None
* ignore: Return the module, even if the version is too old.
It's expected that users validate the version locally when
using ``on_version="ignore"`` (see. ``io/html.py``)
Returns
-------
maybe_module : Optional[ModuleType]
The imported module, when found and the version is correct.
None is returned when the package is not found and `raise_on_missing`
is False, or when the package's version is too old and `on_version`
is ``'warn'``.
"""
package_name = INSTALL_MAPPING.get(name)
install_name = package_name if package_name is not None else name
msg = (
f"Missing optional dependency '{install_name}'. {extra} "
f"Use pip or conda to install {install_name}."
)
try:
module = importlib.import_module(name)
except ImportError:
if raise_on_missing:
raise ImportError(msg) from None
else:
return None
minimum_version = VERSIONS.get(name)
if minimum_version:
version = get_version(module)
if distutils.version.LooseVersion(version) < minimum_version:
assert on_version in {"warn", "raise", "ignore"}
msg = (
f"Pandas requires version '{minimum_version}' or newer of '{name}' "
f"(version '{version}' currently installed)."
)
if on_version == "warn":
warnings.warn(msg, UserWarning)
return None
elif on_version == "raise":
raise ImportError(msg)
return module