Data types not found in the standard library that are cool in various different ways ;)
Advanced DataTypes is a package for Python that provides access faster, feature-rich data types not provided in the standard library, motivated by my thoughts of "why is that not a thing?" The aim of the project is to fill out the holes in the standard library data types' feature-set while improving upon the performance of the existing feature-set.
Constant Store is a class that provides a namespace within which to store constants on a class attribute basis. Class definition is very simple:
from advanced_dtypes import ConstStore class Example(ConstStore): NAME_1 = "some_value" NAME_2 = 23
The class is built to populate a set and dictionary on import, which drives many of the features of the class, as well as the __slots__ attribute, which helps boost performance. Since the class attributes are maintained, names can be directly dot-referenced.
>> Example.NAME_1 == "some_value" True >> type(Example.NAME_1) == str True
ConstStore also provides an interface for the following functionality:
>> len(Example) 2 >> 23 in Example True >> Example(23) NAME_2 >> Example["NAME_2"] 23 >> [value for value in Example] ["some_value", 23]
You should be aware, however, that non-hashable objects will have slower performance in lookups such as
FastEnum is simply a faster implementation of the existing standard library
Definition is exactly the same as a standard enum:
from advanced_dtypes import FastEnum class Example(FastEnum): NAME_1 = "some_value" NAME_2 = 23
Similarly, standard enum functionality remains:
>> Example.NAME_1 <Example.NAME_1: some_value> >> Example.NAME_1.name NAME_1 >> Example.NAME_1.value some_value >> Example("some_value") <Example.NAME_1: some_value> >> Example["NAME_1"] <Example.NAME_1: some_value> >> len(Example) 2 >> [item for item in Example] [<Example.NAME_1: some_value>, <Example.NAME_2: 23>] >> Example.NAME_1 == Example.NAME_1 True
The only functional addition in this instance is equality checking of members against values directly:
>> Example.NAME_1 == "some_value" True
How To Install
pip install advanced-dtypes
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