"""
Common functions for all models.
"""
from typing import Any, List
[docs]
def _unary_minus(number: float) -> float:
"""
Takes value of a number and makes it negative.
:param number: A number to convert.
:return: Converted number.
"""
return -number
[docs]
def _arg_sort(vector: List[Any]) -> List[int]:
"""
Returns the indices that would sort a vector.
:param vector: A list of objects.
:return: Rank vector without ties.
"""
return [i for (v, i) in sorted((v, i) for (i, v) in enumerate(vector))]
[docs]
def _rank_data(vector: List[Any]) -> List[int]:
"""
Sorting with 'competition ranking'. Pure python equivalent of
:code:`scipy.stats.rankdata` function.
:param vector: A list of objects.
:return: Rank vector with ties.
"""
vector_length = len(vector)
arg_sort_rank_vector = _arg_sort(vector)
arg_sorted_vector = [vector[rank] for rank in arg_sort_rank_vector]
sum_ranks = 0
duplicate_count = 0
rank_vector_with_ties = [0] * vector_length
for index in range(vector_length):
sum_ranks += index
duplicate_count += 1
if (
index == vector_length - 1
or arg_sorted_vector[index] != arg_sorted_vector[index + 1]
):
for j in range(index - duplicate_count + 1, index + 1):
rank_vector_with_ties[arg_sort_rank_vector[j]] = (
index + 1 - duplicate_count + 1
)
sum_ranks = 0
duplicate_count = 0
return rank_vector_with_ties
[docs]
def _matrix_transpose(matrix: List[List[Any]]) -> List[List[Any]]:
"""
Transpose a matrix.
:param matrix: A matrix in the form of a list of lists.
:return: A transposed matrix.
"""
return [list(row) for row in zip(*matrix)]
openskill.py