A Python package for generating cases in a list.
Project description
casepy
A Python package for generating cases in a list.
Methods
-
CombinationGenerator
- Generator Core class for combination
-
PermutationGenerator
- Generator Core class for permutation
-
set_parameters(a, b)
- initialize generator with essential parameters
- a: number of element to select (ex: 3)
- b: list of element (ex: [1,2,3,4,5])
-
set_must_have_elements(list)
- set elements that should be included in results.
- list: list of necessary elements.
- ex) set_must_have_elements([2,5]) -> all results will include 2 and 5; in PermutationGenerator, the order will be kept.
-
all_case
- return list of all possible combinations based on the parameters.
-
random_case
- return one random combination in the list of all possible cases.
-
i_case
- return i-th combination in the list of all possible cases.
Usage
With casepy, you can easily generate a combination of elements in a list.
- Example
Initialize generator
import casepy
generator_combination = casepy.CombinationGenerator()
# generating combination cases
generator_permutation = casepy.PermutationGenerator()
# generating permutation cases
generator_combination.set_parameters(4, [1,2,3,4,5])
generator_permutation.set_parameters(4, [1,2,3,4,5])
all_case()
all_case_list = generator_combination.all_case()
# [[1, 2, 3, 4], [1, 2, 3, 5], [1, 2, 4, 5], [1, 3, 4, 5], [2, 3, 4, 5]]
all_case_list = generator_permutation.all_case()
# [[1, 2, 3, 4], [1, 2, 3, 5], [1, 2, 4, 3], [1, 2, 4, 5], ...] total 120 cases
random_case()
random_case = generator_combination.random_case()
# [1, 2, 4, 5] // It can be difference
random_case = generator_permutation.random_case()
# [2, 4, 3, 5] // It can be difference
i_case
i_case_3 = generator_combination.i_case(3)
# [1,3,4,5]
i_case_3 = generator_permutation.i_case(3)
# [1,2,4,5]
This is my first own made Python package.
Please feel free to let me know any feedback or suggestions.
Author: DongHoon Kim
Email: donghoon5793@gmail.com
Project details
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