chore: import upstream snapshot with attribution
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# Copyright 2025-present the zvec project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from .util import require_module
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__all__ = ["require_module"]
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# Copyright 2025-present the zvec project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import importlib
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from typing import Any, Optional
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def require_module(module: str, mitigation: Optional[str] = None) -> Any:
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"""Import a Python module and raise a user-friendly error if it is not available.
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This utility helps provide actionable error messages when optional dependencies
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are missing. It attempts to import the given module and, on failure, suggests
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a `pip install` command based on either the module name or an optional
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mitigation package name.
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Args:
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module (str): The full module name to import (e.g., ``"numpy"``, ``"pandas.io.parquet"``).
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mitigation (Optional[str], optional): The package name to suggest for installation
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if the import fails. If not provided, the top-level package of `module`
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will be used (e.g., ``"pandas"`` for ``"pandas.io.parquet"``).
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Returns:
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Any: The imported module object.
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Raises:
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ImportError: If the module cannot be imported, with a clear installation hint.
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Examples:
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>>> import zvec
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>>> np = zvec.require_module("numpy")
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>>> pq = zvec.require_module("pyarrow.parquet", mitigation="pyarrow")
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Note:
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This function is intended for lazy-loading optional dependencies
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with helpful error messages, not for core dependencies.
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"""
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try:
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return importlib.import_module(module)
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except ImportError as e:
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package = mitigation or module
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msg = f"Required package '{package}' is not installed. "
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if "." in module:
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top_level = module.split(".", maxsplit=1)[0]
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msg += f"Module '{module}' is part of '{top_level}', "
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if mitigation:
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msg += f"please pip install '{mitigation}'."
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else:
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msg += f"please pip install '{top_level}'."
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else:
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msg += f"Please pip install '{package}'."
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raise ImportError(msg) from e
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