Fix test case by removing seed parameter from `random_matrix_with_con…

…dition_number`.

src/pydvl/utils/numeric.py

@@ -142,11 +142,7 @@ def random_subset_of_size(
     return rng.choice(s, size=size, replace=False)
 
 
-def random_matrix_with_condition_number(
-    n: int,
-    condition_number: float,
-    seed: SeedOrGenerator = None,
-) -> NDArray:
+def random_matrix_with_condition_number(n: int, condition_number: float) -> NDArray:
     """Constructs a square matrix with a given condition number.
 
     Taken from:
@@ -157,10 +153,8 @@ def random_matrix_with_condition_number(
 
     :param n: size of the matrix
     :param condition_number: duh
-    :param seed: Seed for the random number generator.
     :return: An (n,n) matrix with the requested condition number.
     """
-    rng = np.random.default_rng(seed)
     if n < 2:
         raise ValueError("Matrix size must be at least 2")
 
@@ -176,8 +170,8 @@ def random_matrix_with_condition_number(
     exp_vec = exp_vec[:n]
     s: np.ndarray = np.exp(exp_vec)
     S = np.diag(s)
-    U, _ = np.linalg.qr((rng.random((n, n)) - 5.0) * 200)
-    V, _ = np.linalg.qr((rng.random((n, n)) - 5.0) * 200)
+    U, _ = np.linalg.qr((np.random.rand(n, n) - 5.0) * 200)
+    V, _ = np.linalg.qr((np.random.rand(n, n) - 5.0) * 200)
     P: np.ndarray = U.dot(S).dot(V.T)
     P = P.dot(P.T)
     return P