Usage

Using the short forms or abbreviated forms of indices

DictCollections

from pysuit import DictCollections

dict_collection = DictCollections()

dict_collection.dict_sort(dictionary , flag)

Examples of DictCollections

from pysuit import DictCollections

dict_collection = DictCollections()

dict_collection.dict_sort({"b": 3, "a": 34, 67: "c", 1: 64} , keys)

Sorted Dictionary is => {1: 64, 'a': 34, 'b': 3, 67: 'c'}

NestedCollections

from pysuit import NestedCollections

nested_collection = NestedCollections()

nested_collection.nested_iterator(nested_list)

Examples of NestedCollections

from pysuit import NestedCollections

nested_collection = NestedCollections()

nested_collection.nested_iterator([[0, 4], [2, 3, 4], [0, 1, 2], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4]])

Converted list is => [0, 4, 2, 3, 4, 0, 1, 2, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4]

ExcludeRandom

from pysuit import ExcludeRandom

exclude_random = ExcludeRandom()

exclude_random.exclude_random(start, stop, [exclude numbers])

Examples of ExcludeRandom

from pysuit import ExcludeRandom

exclude_random = ExcludeRandom()

exclude_random.exclude_random(1, 10, [4, 5, 9])

Random number is => 8

DataTypeCollection

from pysuit import DataTypeCollection

data_collection = DataTypeCollection()

data_collection.fake_random_datatype(datatype, length of datatype)

Examples of DataTypeCollection

from pysuit import DataTypeCollection

data_collection = DataTypeCollection()

data_collection.fake_random_datatype(list, 10)

Fake random data is => [93, 91, 9163, -1967.88203, 3, 'thousand', -197247.03, 913, 983, 'thousand']