More flexible size assertions for int arrays in test_arange

Author: honno

array_api_tests/test_creation_functions.py

@@ -217,25 +217,32 @@ def test_arange(dtype, data):
         assert out.dtype == dtype
     assert out.ndim == 1, f"{out.ndim=}, but should be 1 [linspace()]"
     f_func = f"[linspace({start=}, {stop=}, {step=})]"
+    # We check size is roughly as expected to avoid edge cases e.g.
+    #
+    #     >>> xp.arange(2, step=0.333333333333333)
+    #     [0.0, 0.33, 0.66, 1.0, 1.33, 1.66, 2.0]
+    #     >>> xp.arange(2, step=0.3333333333333333)
+    #     [0.0, 0.33, 0.66, 1.0, 1.33, 1.66]
+    #
+    #     >>> start, stop, step = 0, 108086391056891901, 1080863910568919
+    #     >>> x = xp.arange(start, stop, step, dtype=xp.uint64)
+    #     >>> x.size
+    #     100
+    #     >>> r = range(start, stop, step)
+    #     >>> len(r)
+    #     101
+    #
+    min_size = math.floor(size * 0.9)
+    max_size = max(math.ceil(size * 1.1), 1)
+    assert (
+        min_size <= out.size <= max_size
+    ), f"{out.size=}, but should be roughly {size} {f_func}"
     if dh.is_int_dtype(_dtype):
-        assert out.size == size, f"{out.size=}, but should be {size} {f_func}"
-    else:
-        # We check size is roughly as expected to avoid edge cases e.g.
-        #
-        #     >>> xp.arange(2, step=0.333333333333333)
-        #     [0.0, 0.33, 0.66, 1.0, 1.33, 1.66, 2.0]
-        #     >>> xp.arange(2, step=0.3333333333333333)
-        #     [0.0, 0.33, 0.66, 1.0, 1.33, 1.66]
-        #
-        min_size = math.floor(size * 0.9)
-        max_size = max(math.ceil(size * 1.1), 1)
-        assert (
-            min_size <= out.size <= max_size
-        ), f"{out.size=}, but should be roughly {size} {f_func}"
-    assume(out.size == size)
-    if dh.is_int_dtype(_dtype):
-        ah.assert_exactly_equal(out, ah.asarray(list(r), dtype=_dtype))
+        elements = list(r)
+        assume(out.size == len(elements))
+        ah.assert_exactly_equal(out, ah.asarray(elements, dtype=_dtype))
     else:
+        assume(out.size == size)
         if out.size > 0:
             assert ah.equal(
                 out[0], ah.asarray(_start, dtype=out.dtype)