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pandas / core / computation / common.py
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from functools import reduce

import numpy as np

from pandas._config import get_option


def _ensure_decoded(s):
    """
    If we have bytes, decode them to unicode.
    """
    if isinstance(s, (np.bytes_, bytes)):
        s = s.decode(get_option("display.encoding"))
    return s


def result_type_many(*arrays_and_dtypes):
    """
    Wrapper around numpy.result_type which overcomes the NPY_MAXARGS (32)
    argument limit.
    """
    try:
        return np.result_type(*arrays_and_dtypes)
    except ValueError:
        # we have > NPY_MAXARGS terms in our expression
        return reduce(np.result_type, arrays_and_dtypes)


class NameResolutionError(NameError):
    pass