Simplify check_efficient

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

python/python/bystro/covariance/hypothesis_hd.py

@@ -117,41 +117,12 @@ def t_func(lambda_: np.ndarray, gamma: float, eta0: float) -> float:
     )
 
 
-def check_efficient(
-    gamma: float,
-    lambda1: np.ndarray,
-    lambda2: np.ndarray,
-    epsilon: float = 0.05,
-) -> bool:
-    """
-    Check if the splitting is efficient.
-
-    Parameters
-    ----------
-    gamma : float
-        Gamma value.
-    lambda1 : np.ndarray
-        First array of eigenvalues.
-    lambda2 : np.ndarray
-        Second array of eigenvalues.
-    epsilon : float, optional
-        Tolerance value, by default 0.05.
-
-    Returns
-    -------
-    is_efficient : bool
-        True if efficient, False otherwise.
-    """
     range1 = abs(lambda1[0] - lambda1[-1])
     range2 = abs(lambda2[0] - lambda2[-1])
-    if (
-        max(abs(gamma - lambda1[0]), abs(gamma - lambda1[-1]))
-        > range1 - epsilon
-        or max(abs(gamma - lambda2[0]), abs(gamma - lambda2[-1]))
-        > range2 - epsilon
-    ):
-        return False
-    return True
+    return not (
+        max(abs(gamma - lambda1[0]), abs(gamma - lambda1[-1])) > range1 - epsilon
+        or max(abs(gamma - lambda2[0]), abs(gamma - lambda2[-1])) > range2 - epsilon
+    )
 
 
 def two_sample_test_(