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Update to NumPy 2 #93

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Update to NumPy 2 #93

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535c5c2
Do not silence warnings
schance995 Aug 6, 2025
e7ff082
Update to NumPy 2
schance995 Aug 6, 2025
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10 changes: 3 additions & 7 deletions small_world_propensity/small_world_propensity.py
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Original file line number Diff line number Diff line change
@@ -1,15 +1,10 @@
# Probably a bad idea...
import warnings
from typing import Union

import numpy as np
import pandas as pd
import tqdm
from scipy.sparse import csgraph

warnings.filterwarnings("ignore", category=RuntimeWarning)

gen = np.random.default_rng(1337)

def small_world_propensity(
W: Union[np.ndarray, list], bin: Union[bool, list] = False
Expand Down Expand Up @@ -38,7 +33,7 @@ def small_world_propensity(

def get_avg_rad_eff(W: np.ndarray) -> int:
n = len(W)
num_con = len(np.where(W > 0)[0])
num_con = np.sum(W > 0)
avg_deg_unw = num_con / n
avg_rad_unw = avg_deg_unw / 2
avg_rad_eff = np.ceil(avg_rad_unw)
Expand Down Expand Up @@ -198,7 +193,7 @@ def randomize_matrix(A: np.ndarray) -> np.ndarray:
return A_rand


def regular_matrix_generator(G: np.ndarray, r: int) -> np.ndarray:
def regular_matrix_generator(G: np.ndarray, r: int, seed=42) -> np.ndarray:
"""Generate a regular matrix from a given matrix.

Args:
Expand All @@ -220,6 +215,7 @@ def regular_matrix_generator(G: np.ndarray, r: int) -> np.ndarray:

M = np.zeros((n, n))

gen = np.random.default_rng(seed)
for i in range(n):
for z in range(r):
a = gen.integers(0, n)
Expand Down