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Empty file added combinatorics/__init__.py
Empty file.
172 changes: 172 additions & 0 deletions combinatorics/combinations.py
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from math import comb
from math import factorial

def validate_elements_count(total_elements_count: int, selected_elements_count: int) -> None:

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combinatorics/combinations.py:1:1: I001 Import block is un-sorted or un-formatted

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As there is no test file in this pull request nor any test function or class in the file combinatorics/combinations.py, please provide doctest for the function validate_elements_count

""" Validate that the number of elements are positive and the total is greater than or equal to selected. """

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if total_elements_count < selected_elements_count or selected_elements_count < 0:
raise ValueError(
"Please enter positive integers for total_elements_count and selected_elements_count "

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"where total_elements_count >= selected_elements_count"
)


def combinations_iterative(total_elements_count: int, selected_elements_count: int) -> int:

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"""
Returns the number of combinations that can be made from a total set of elements.

Examples:
>>> combinations_iterative(10, 5)
252
>>> combinations_iterative(6, 3)
20
>>> combinations_iterative(20, 5)
15504
>>> combinations_iterative(52, 5)
2598960
>>> combinations_iterative(0, 0)
1
>>> combinations_iterative(-4, -5)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count

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"""
validate_elements_count(total_elements_count, selected_elements_count)
combinations_count = 1
for i in range(selected_elements_count):
combinations_count *= (total_elements_count - i)
combinations_count //= (i + 1)
return combinations_count


def multiset_combinations(total_elements_count: int, selected_elements_count: int) -> int:

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"""
Returns the number of combinations from a multiset of elements.

Examples:
>>> multiset_combinations(10, 5)
2002
>>> multiset_combinations(6, 3)
56
>>> multiset_combinations(20, 5)
42504
>>> multiset_combinations(52, 5)
3819816
>>> multiset_combinations(0, 0)
1
>>> multiset_combinations(-4, -5)
Traceback (most recent call last):
...
ValueError: n must be a non-negative integer
"""
validate_elements_count(total_elements_count, selected_elements_count)
return comb(total_elements_count + selected_elements_count - 1, selected_elements_count)

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def combinations_formula(total_elements_count: int, selected_elements_count: int) -> int:

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"""
Calculate combinations using the formula for n choose k.

Examples:
>>> combinations_formula(10, 5)
252
>>> combinations_formula(6, 3)
20
>>> combinations_formula(20, 5)
15504
>>> combinations_formula(52, 5)
2598960
>>> combinations_formula(0, 0)
1
>>> combinations_formula(-4, -5)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count

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"""
validate_elements_count(total_elements_count, selected_elements_count)
remaining_elements_count = total_elements_count - selected_elements_count
return int(
factorial(total_elements_count) /
(factorial(selected_elements_count) * factorial(remaining_elements_count))
)


def combinations_with_repetitions(total_elements_count: int, selected_elements_count: int) -> int:
"""
Calculate combinations with repetitions allowed.

Examples:
>>> combinations_with_repetitions(10, 5)
2002
>>> combinations_with_repetitions(6, 3)
56
>>> combinations_with_repetitions(20, 5)
42504
>>> combinations_with_repetitions(52, 5)
3819816
>>> combinations_with_repetitions(0, 0)
1
>>> combinations_with_repetitions(-4, -5)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count
"""
validate_elements_count(total_elements_count, selected_elements_count)
if total_elements_count + selected_elements_count == 0:
return 1
return int(
factorial(total_elements_count + selected_elements_count - 1) /
(factorial(selected_elements_count) * factorial(total_elements_count - 1))
)


def permutations(total_elements_count: int, selected_elements_count: int) -> int:
"""
Calculate the number of permutations of selecting k elements from n elements.

Examples:
>>> permutations(10, 5)
30240
>>> permutations(6, 3)
120
>>> permutations(20, 5)
1860480
>>> permutations(52, 5)
311875200
>>> permutations(0, 0)
1
>>> permutations(-4, -5)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count
"""
validate_elements_count(total_elements_count, selected_elements_count)
remaining_elements_count = total_elements_count - selected_elements_count
return int(factorial(total_elements_count) / factorial(remaining_elements_count))


def possible_selections(total_elements_count: int, selected_elements_count: int) -> int:
"""
Calculate the number of possible selections of k items from n available items, with replacement.

Examples:
>>> possible_selections(10, 5)
100000
>>> possible_selections(6, 3)
216
>>> possible_selections(20, 5)
3200000
>>> possible_selections(52, 5)
380204032
>>> possible_selections(0, 0)
1
>>> possible_selections(-4, -5)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count
"""
validate_elements_count(total_elements_count, selected_elements_count)
return int(total_elements_count ** selected_elements_count)


if __name__ == "__main__":
__import__("doctest").testmod()
34 changes: 34 additions & 0 deletions combinatorics/derangements.py
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from math import factorial

"""
https://en.wikipedia.org/wiki/Derangement
"""


def derangement(elements_count: int) -> int:
"""
Returns the number of different combinations of selected_elements_count length which can
be made from total_elements_count values, where total_elements_count >= selected_elements_count.

Examples:
>>> derangement(6)
265
>>> derangement(7)
1854
>>> derangement(8)
14833

>>> derangement(-5)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for elements_count
"""
if elements_count < 0:
raise ValueError("Please enter positive integers for elements_count")

derangement = sum([((-1) ** i) / factorial(i) for i in range(elements_count + 1)])
return int(factorial(elements_count) * derangement)


if __name__ == "__main__":
__import__("doctest").testmod()
53 changes: 53 additions & 0 deletions combinatorics/stirling_second_kind.py
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"""
https://en.wikipedia.org/wiki/Stirling_numbers_of_the_second_kind
"""


def validate_elements_count(

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As there is no test file in this pull request nor any test function or class in the file combinatorics/stirling_second_kind.py, please provide doctest for the function validate_elements_count

total_elements_count: int, selected_elements_count: int
) -> None:
# If either of the conditions are true, the function is being asked
# to calculate a factorial of a negative number, which is not possible
if total_elements_count < selected_elements_count or selected_elements_count < 0:
raise ValueError(
"Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count"
)


def stirling_second(total_elements_count: int, selected_elements_count: int) -> None:
"""
Returns the number of different combinations of selected_elements_count length which can
be made from total_elements_count values, where total_elements_count >= selected_elements_count.

Examples:
>>> stirling_second(6, 3)
122
>>> stirling_second(10, 5)
50682
>>> stirling_second(8, 3)
1389
>>> stirling_second(-5, 0)
Traceback (most recent call last):
...
ValueError: Please enter positive integers for total_elements_count and selected_elements_count where total_elements_count >= selected_elements_count
"""

validate_elements_count(total_elements_count, selected_elements_count)
permutations_count = [
[0] * (selected_elements_count + 1) for _ in range(total_elements_count + 1)
]

for i in range(total_elements_count + 1):
permutations_count[i][0] = 1

for i in range(1, total_elements_count + 1):
for j in range(1, selected_elements_count + 1):
permutations_count[i][j] = (
j * permutations_count[i - 1][j] + permutations_count[i - 1][j - 1]
)

return permutations_count[total_elements_count][selected_elements_count]


if __name__ == "__main__":
__import__("doctest").testmod()
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