nptyping.types._datetime64

Complexity

Total Complexity

4

Size/Duplication

Total Lines	38
Duplicated Lines	34.21 %

Importance

Changes

0

4 Methods

Rating	Name	Duplication	Size	Complexity
A	_Datetime64Meta.__repr__()	2	2	1
A	_Datetime64Meta.__instancecheck__()	4	4	1
A	Datetime64.type_of()	0	9	1
A	_Datetime64Meta.__subclasscheck__()	2	2	1

from typing import Any, Type

import numpy
from typish import get_mro

from nptyping.types._nptype import NPType


class _Datetime64Meta(type):

This code seems to be duplicated in your project.

    def __repr__(cls):
        return 'Datetime64'

    __str__ = __repr__

    def __instancecheck__(cls, instance: Any) -> bool:
        from nptyping.functions._get_type import get_type
        np_type = get_type(instance)
        return np_type == Datetime64 and issubclass(np_type, cls)

    def __subclasscheck__(cls, subclass: type) -> bool:
        return Datetime64 in get_mro(subclass)


class Datetime64(NPType, numpy.datetime64, metaclass=_Datetime64Meta):
    """
    Corresponds to numpy.datetime64.
    """

    @classmethod
    def type_of(cls, obj: Any) -> Type['Bool']:
        """
        Return the NPType that corresponds to obj.
        :param obj: a string compatible object.
        :return: a Datetime64 type.
        """
        from nptyping.functions._get_type import get_type_datetime64
        return get_type_datetime64(obj)