MAINT: refactor "for ... in range(len(" statements

2 files changed, 13 insertions, 15 deletions

diff --git a/numpy/core/records.py b/numpy/core/records.py
index b3474ad01..2c20b7d45 100644
--- a/numpy/core/records.py
+++ b/numpy/core/records.py
@@ -664,17 +664,17 @@ def fromarrays(arrayList, dtype=None, shape=None, formats=None,
     if nn > 0:
         shape = shape[:-nn]
 
+    _array = recarray(shape, descr)
+
+    # populate the record array (makes a copy)
     for k, obj in enumerate(arrayList):
         nn = descr[k].ndim
         testshape = obj.shape[:obj.ndim - nn]
+        name = _names[k]
         if testshape != shape:
-            raise ValueError("array-shape mismatch in array %d" % k)
+            raise ValueError(f'array-shape mismatch in array {k} ("{name}")')
 
-    _array = recarray(shape, descr)
-
-    # populate the record array (makes a copy)
-    for i in range(len(arrayList)):
-        _array[_names[i]] = arrayList[i]
+        _array[name] = obj
 
     return _array
 
diff --git a/numpy/core/tests/test_umath_complex.py b/numpy/core/tests/test_umath_complex.py
index ad09830d4..af5bbe59e 100644
--- a/numpy/core/tests/test_umath_complex.py
+++ b/numpy/core/tests/test_umath_complex.py
@@ -134,8 +134,7 @@ class TestClog:
         x = np.array([1+0j, 1+2j])
         y_r = np.log(np.abs(x)) + 1j * np.angle(x)
         y = np.log(x)
-        for i in range(len(x)):
-            assert_almost_equal(y[i], y_r[i])
+        assert_almost_equal(y, y_r)
 
     @platform_skip
     @pytest.mark.skipif(platform.machine() == "armv5tel", reason="See gh-413.")
@@ -365,8 +364,7 @@ class TestCpow:
         x = np.array([1+1j, 0+2j, 1+2j, np.inf, np.nan])
         y_r = x ** 2
         y = np.power(x, 2)
-        for i in range(len(x)):
-            assert_almost_equal(y[i], y_r[i])
+        assert_almost_equal(y, y_r)
 
     def test_scalar(self):
         x = np.array([1, 1j,         2,  2.5+.37j, np.inf, np.nan])
@@ -419,8 +417,7 @@ class TestCabs:
         x = np.array([1+1j, 0+2j, 1+2j, np.inf, np.nan])
         y_r = np.array([np.sqrt(2.), 2, np.sqrt(5), np.inf, np.nan])
         y = np.abs(x)
-        for i in range(len(x)):
-            assert_almost_equal(y[i], y_r[i])
+        assert_almost_equal(y, y_r)
 
     def test_fabs(self):
         # Test that np.abs(x +- 0j) == np.abs(x) (as mandated by C99 for cabs)
@@ -466,9 +463,10 @@ class TestCabs:
             return np.abs(complex(a, b))
 
         xa = np.array(x, dtype=complex)
-        for i in range(len(xa)):
-            ref = g(x[i], y[i])
-            check_real_value(f, x[i], y[i], ref)
+        assert len(xa) == len(x) == len(y)
+        for xi, yi in zip(x, y):
+            ref = g(xi, yi)
+            check_real_value(f, xi, yi, ref)
 
 class TestCarg:
     def test_simple(self):