Added tests for numpy.intc

Author: AbhishekChaudharii

pandas/tests/reshape/merge/test_merge.py

@@ -1843,9 +1843,7 @@ def test_merge_empty(self, left_empty, how, exp):
 
         tm.assert_frame_equal(result, expected)
 
-    def test_merge_with_uintc_columns(dataframes_with_uintc):
-        """To test if pd.merge works with numpy.uintc on windows"""
-
+    def test_merge_with_uintc_columns(self):
         df1 = pd.DataFrame({"a": ["foo", "bar"], "b": np.array([1, 2], dtype=np.uintc)})
         df2 = pd.DataFrame({"a": ["foo", "baz"], "b": np.array([3, 4], dtype=np.uintc)})
         result = df1.merge(df2, how="outer")
@@ -1856,6 +1854,32 @@ def test_merge_with_uintc_columns(dataframes_with_uintc):
             }
         )
         tm.assert_frame_equal(result.reset_index(drop=True), expected)
+    
+    def test_merge_with_intc_columns(self):
+        df1 = pd.DataFrame({"a": ["foo", "bar"], "b": np.array([1, 2], dtype=np.intc)})
+        df2 = pd.DataFrame({"a": ["foo", "baz"], "b": np.array([3, 4], dtype=np.intc)})
+        result = df1.merge(df2, how="outer")
+        expected = pd.DataFrame(
+            {
+                "a": ["bar", "baz", "foo", "foo"],
+                "b": np.array([2, 4, 1, 3], dtype=np.intc),
+            }
+        )
+        tm.assert_frame_equal(result.reset_index(drop=True), expected)
+    
+    def test_merge_intc_non_monotonic(self):
+        df = pd.DataFrame({"join_key": pd.Series([0, 2, 1], dtype=np.intc)})
+        df_details = pd.DataFrame({"join_key": pd.Series([0, 1, 2], dtype=np.intc),"value": ["a", "b", "c"]})
+        merged = pd.merge(df, df_details, on="join_key", how="left")
+        expected = pd.DataFrame(
+            {
+                'join_key':np.array([0,2,1],dtype=np.intc),
+                'value':['a','c','b']
+            }
+        )
+        tm.assert_frame_equal(merged.reset_index(drop=True),expected)
+
+        
 
 
 @pytest.fixture