Coverage for src/abcd_graph/graph/core/utils.py: 100%
20 statements
« prev ^ index » next coverage.py v7.5.3, created at 2024-11-17 23:31 +0100
« prev ^ index » next coverage.py v7.5.3, created at 2024-11-17 23:31 +0100
1# Copyright (c) 2024 Jordan Barrett & Aleksander Wojnarowicz
2#
3# Permission is hereby granted, free of charge, to any person obtaining a copy
4# of this software and associated documentation files (the "Software"), to deal
5# in the Software without restriction, including without limitation the rights
6# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
7# copies of the Software, and to permit persons to whom the Software is
8# furnished to do so, subject to the following conditions:
9#
10# The above copyright notice and this permission notice shall be included in all
11# copies or substantial portions of the Software.
12#
13# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
14# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
15# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
16# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
17# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
18# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
19# SOFTWARE.
21__all__ = ["rand_round", "powerlaw_distribution", "get_community_color_map"]
23import math
24import random
25from typing import TYPE_CHECKING
27import numpy as np
28from numpy.typing import NDArray
30if TYPE_CHECKING: # pragma: no cover
31 from abcd_graph.graph.core.abcd_objects import Community
34def rand_round(x: float) -> int:
35 p = x - math.floor(x)
36 return int(math.floor(x) + 1) if random.uniform(0, 1) <= p else int(math.floor(x))
39def powerlaw_distribution(choices: NDArray[np.int64], intensity: float) -> NDArray[np.float64]:
40 dist: NDArray[np.float64] = (choices ** (-intensity)) / np.sum(choices ** (-intensity))
41 return dist
44def get_community_color_map(communities: list["Community"]) -> list[str]:
45 import matplotlib.colors as colors # type: ignore[import]
47 colors_list = list(colors.BASE_COLORS.values())[: len(communities)]
49 color_map = []
51 for i, community in enumerate(communities):
52 color = colors_list[i]
53 color_map.extend([color] * len(community.vertices))
55 return color_map