Slovar
Slovar is named dicts on steroids (cheesy!) with extra functionalities (lots of them). Widely used in prf, jobs and datasets.
Some of more prominent features are:
-
flattening/unflattening
-
rich extracting
-
subsetting
-
typecasting/type converting
-
dot notation access
-
update/merge
Setting up & testing
mkvirtualenv slovar_test #or any other way of venv
pip install -r requirements.test
pytest
pytest benchmarks/
Examples:
In [1]: from slovar import slovar
In [2]: d = slovar({'a':1, 'b': 2, 'c.c1': '11'})
In [3]: d
Out[3]: {'a': 1, 'b': 2, 'c.c1': '11'}
In [4]: d.unflat()
Out[4]: {'a': 1, 'b': 2, 'c': {'c1': '11'}}
In [5]: d.unflat().extract('c.c1')
Out[5]: {'c': {'c1': '11'}}
In [9]: d.unflat().extract('c').c.asint('c1')
Out[9]: 11
In [10]: d
Out[10]: {'a': 1, 'b': 2, 'c.c1': '11'}
In [11]: dd = d.unflat()
In [12]: dd.c.c1
Out[12]: '11'
In [14]: dd.flat() == d
Out[14]: True
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