Python中如何实现对键类型敏感的字典？

Python 3能区分1和1.0的类型：

>>> type(1)
<class 'int'>
>>> type(1.0)
<class 'float'>

但普通字典中，二者作为键会被视为同一个（原因是hash(1)和hash(1.0)的结果均为1）：

>>> {1: 'one', 1.0: 'one point zero'}
{1: 'one point zero'}

需要一个类字典对象my_dict，实现如下效果：

>>> my_dict
{1: 'one', 1.0: 'one point zero'}
>>> my_dict[1]
'one'
>>> my_dict[1.0]
'one point zero'

是否存在对键类型敏感的dict子类？若没有，是否需要自定义子类并重写__init__、__getitem__、__setitem__和update方法？我设想用(type(key), key)作为内部存储的键。

我需要这类字典的原因是定义了AutoEnum类：

from enum import IntEnum, auto

class AutoEnum(IntEnum):
    def _generate_next_value_(self, _start, count, _last_values):
        return count

通过该类可定义自动赋值的枚举类，成员值从0开始依次递增：

class Fruit(AutoEnum):
    apple = auto()  # 0
    pear = auto()  # 1
    banana = auto()  # 2
    orange = auto()  # 3

class Animal(AutoEnum):
    cat = auto()  # 0
    dog = auto()  # 1

我用这些枚举作为NumPy数组的索引，同时需要一个能区分不同枚举类成员（即使其int值相同）的类字典对象，因为有时会在同一代码中处理不同类的键。但普通字典无法实现：

description_dict = {
    Fruit.apple: 'A round fruit with a thin peel',
    Fruit.pear: 'An oval fruit with a thin peel',
    Fruit.banana: 'An oblong fruit with a thick peel',
    Fruit.orange: 'A round fruit with a thick peel',
    Animal.cat: 'A pet that can accept you under certain circumstances',
    Animal.dog: 'A pet that always loves you',
}

实际结果不符合预期：

>>> for key, val in description_dict.items():
...   print("{}: {}".format(repr(key), repr(val)))
... 
<Fruit.apple: 0>: 'A pet that can accept you under certain circumstances'
<Fruit.pear: 1>: 'A pet that always loves you'
<Fruit.banana: 2>: 'An oblong fruit with a thick peel'
<Fruit.orange: 3>: 'A round fruit with a thick peel'

内容的提问来源于stack exchange，提问作者HelloGoodbye