(
    idx_contraction: Collection[str],
    inner: bool,
    num_terms: int,
    size_dictionary: Dict[str, int],
)
return overall_size * op_factor
Computes the number of FLOPS in the contraction.

    Parameters
    ----------
    idx_contraction : iterable
        The indices involved in the contraction
    inner : bool
        Does this contraction require an inner product?
    num_terms : int
        The number of terms in a contraction
    size_dictionary : dict
        The size of each of the indices in idx_contraction

    Returns
    -------
    flop_count : int
        The total number of FLOPS required for the contraction.

    Examples
    --------

    >>> flop_count('abc', False, 1, {'a': 2, 'b':3, 'c':5})
    30

    >>> flop_count('abc', True, 2, {'a': 2, 'b':3, 'c':5})
    60
Computes the number of FLOPS in the contraction.
Computes the number of FLOPS in the contraction .
def flop_count(
    idx_contraction: Collection[str],
    inner: bool,
    num_terms: int,
    size_dictionary: Dict[str, int],
) -> int:
    """
    Computes the number of FLOPS in the contraction.

    Parameters
    ----------
    idx_contraction : iterable
        The indices involved in the contraction
    inner : bool
        Does this contraction require an inner product?
    num_terms : int
        The number of terms in a contraction
    size_dictionary : dict
        The size of each of the indices in idx_contraction

    Returns
    -------
    flop_count : int
        The total number of FLOPS required for the contraction.

    Examples
    --------

    >>> flop_count('abc', False, 1, {'a': 2, 'b':3, 'c':5})
    30

    >>> flop_count('abc', True, 2, {'a': 2, 'b':3, 'c':5})
    60

    """

    overall_size = compute_size_by_dict(idx_contraction, size_dictionary)
    op_factor = max(1, num_terms - 1)
    if inner:
        op_factor += 1

    return overall_size * op_factor
def flop_count ( idx_contraction : Collection [ str ] , inner : bool , num_terms : int , size_dictionary : Dict [ str , int ] , ) -> int : overall_size = compute_size_by_dict ( idx_contraction , size_dictionary ) op_factor = max ( 1 , num_terms - 1 ) if inner : op_factor += 1 return overall_size * op_factor