63 lines
1.4 KiB
Python
63 lines
1.4 KiB
Python
"""
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Templates for invalid operations.
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"""
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from __future__ import annotations
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import operator
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from typing import TYPE_CHECKING
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import numpy as np
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if TYPE_CHECKING:
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from pandas._typing import npt
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def invalid_comparison(left, right, op) -> npt.NDArray[np.bool_]:
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"""
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If a comparison has mismatched types and is not necessarily meaningful,
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follow python3 conventions by:
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- returning all-False for equality
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- returning all-True for inequality
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- raising TypeError otherwise
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Parameters
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----------
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left : array-like
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right : scalar, array-like
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op : operator.{eq, ne, lt, le, gt}
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Raises
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------
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TypeError : on inequality comparisons
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"""
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if op is operator.eq:
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res_values = np.zeros(left.shape, dtype=bool)
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elif op is operator.ne:
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res_values = np.ones(left.shape, dtype=bool)
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else:
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typ = type(right).__name__
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raise TypeError(f"Invalid comparison between dtype={left.dtype} and {typ}")
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return res_values
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def make_invalid_op(name: str):
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"""
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Return a binary method that always raises a TypeError.
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Parameters
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----------
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name : str
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Returns
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-------
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invalid_op : function
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"""
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def invalid_op(self, other=None):
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typ = type(self).__name__
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raise TypeError(f"cannot perform {name} with this index type: {typ}")
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invalid_op.__name__ = name
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return invalid_op
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