REFACTOR-#6622: don't use deprecated 'random_integers' func (#6623)

Signed-off-by: Anatoly Myachev <[email protected]>
modin-project · Oct 3, 2023 · 2087e18 · 2087e18
1 parent 4531ae1
commit 2087e18
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Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/modin/pandas/test/dataframe/test_map_metadata.py b/modin/pandas/test/dataframe/test_map_metadata.py
@@ -863,7 +863,7 @@ def test_clip(request, data, axis, bound_type):
             else len(modin_df.columns)
         )
         # set bounds
-        lower, upper = np.sort(random_state.random_integers(RAND_LOW, RAND_HIGH, 2))
+        lower, upper = np.sort(random_state.randint(RAND_LOW, RAND_HIGH, 2))
 
         # test only upper scalar bound
         modin_result = modin_df.clip(None, upper, axis=axis)
@@ -875,8 +875,8 @@ def test_clip(request, data, axis, bound_type):
         pandas_result = pandas_df.clip(lower, upper, axis=axis)
         df_equals(modin_result, pandas_result)
 
-        lower = random_state.random_integers(RAND_LOW, RAND_HIGH, ind_len)
-        upper = random_state.random_integers(RAND_LOW, RAND_HIGH, ind_len)
+        lower = random_state.randint(RAND_LOW, RAND_HIGH, ind_len)
+        upper = random_state.randint(RAND_LOW, RAND_HIGH, ind_len)
 
         if bound_type == "series":
             modin_lower = pd.Series(lower)

diff --git a/modin/pandas/test/test_series.py b/modin/pandas/test/test_series.py
@@ -1252,7 +1252,7 @@ def test_clip_scalar(request, data, bound_type):
 
     if name_contains(request.node.name, numeric_dfs):
         # set bounds
-        lower, upper = np.sort(random_state.random_integers(RAND_LOW, RAND_HIGH, 2))
+        lower, upper = np.sort(random_state.randint(RAND_LOW, RAND_HIGH, 2))
 
         # test only upper scalar bound
         modin_result = modin_series.clip(None, upper)
@@ -1273,8 +1273,8 @@ def test_clip_sequence(request, data, bound_type):
     )
 
     if name_contains(request.node.name, numeric_dfs):
-        lower = random_state.random_integers(RAND_LOW, RAND_HIGH, len(pandas_series))
-        upper = random_state.random_integers(RAND_LOW, RAND_HIGH, len(pandas_series))
+        lower = random_state.randint(RAND_LOW, RAND_HIGH, len(pandas_series))
+        upper = random_state.randint(RAND_LOW, RAND_HIGH, len(pandas_series))
 
         if bound_type == "series":
             modin_lower = pd.Series(lower)