Use np.inf instead of float('inf')

skimage/measure/fit.py

@@ -505,18 +505,18 @@ def _dynamic_max_trials(n_inliers, n_samples, min_samples, probability):
         Number of trials.
     """
     if n_inliers == 0:
-        return float('inf')
+        return np.inf
 
     nom = 1 - probability
     if nom == 0:
-        return float('inf')
+        return np.inf
 
     inlier_ratio = n_inliers / float(n_samples)
     denom = 1 - inlier_ratio ** min_samples
     if denom == 0:
         return 1
     elif denom == 1:
-        return float('inf')
+        return np.inf
 
     nom = np.log(nom)
     denom = np.log(denom)

skimage/measure/tests/test_fit.py

@@ -235,7 +235,7 @@ def test_ransac_dynamic_max_trials():
 
     # e = 0%, min_samples = 5
     assert_equal(_dynamic_max_trials(1, 100, 5, 0), 0)
-    assert_equal(_dynamic_max_trials(1, 100, 5, 1), float('inf'))
+    assert_equal(_dynamic_max_trials(1, 100, 5, 1), np.inf)
 
 
 def test_ransac_invalid_input():