Rolling back changes to modified test

Author: Nithurshen

pandas/core/indexes/interval.py

@@ -1420,17 +1420,17 @@ def interval_range(
         dtype: np.dtype = np.dtype("int64")
         if com.all_not_none(start, end, freq):
             if (
-                isinstance(start, (float, np.floating))
-                or isinstance(end, (float, np.floating))
-                or isinstance(freq, (float, np.floating))
-            ):
-                dtype = np.dtype("float64")
-            elif (
                 isinstance(start, (np.integer, np.floating))
                 and isinstance(end, (np.integer, np.floating))
                 and start.dtype == end.dtype
             ):
                 dtype = start.dtype
+            elif (
+                isinstance(start, (float, np.floating))
+                or isinstance(end, (float, np.floating))
+                or isinstance(freq, (float, np.floating))
+            ):
+                dtype = np.dtype("float64")
             # 0.1 ensures we capture end
             breaks = np.arange(start, end + (freq * 0.1), freq)
             breaks = maybe_downcast_numeric(breaks, dtype)

pandas/tests/indexes/interval/test_interval_range.py

@@ -225,7 +225,7 @@ def test_float_subtype(self, start, end, freq):
         [
             (np.int8(1), np.int8(10), np.dtype("int8")),
             (np.int8(1), np.float16(10), np.dtype("float64")),
-            (np.float32(1), np.float32(10), np.dtype("float64")),
+            (np.float32(1), np.float32(10), np.dtype("float32")),
             (1, 10, np.dtype("int64")),
             (1, 10.0, np.dtype("float64")),
         ],