fix default seed

rapidsai · Oct 12, 2024 · 3d35be1 · 3d35be1
1 parent 7087da9
commit 3d35be1
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Showing 8 changed files with 10 additions and 10 deletions.
diff --git a/python/cudf/cudf/_fuzz_testing/avro.py b/python/cudf/cudf/_fuzz_testing/avro.py
@@ -100,7 +100,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if values == ALL_POSSIBLE_VALUES:
                 if param == "columns":

diff --git a/python/cudf/cudf/_fuzz_testing/csv.py b/python/cudf/cudf/_fuzz_testing/csv.py
@@ -77,7 +77,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if values == ALL_POSSIBLE_VALUES:
                 if param == "usecols":
@@ -179,7 +179,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if values == ALL_POSSIBLE_VALUES:
                 if param == "columns":

diff --git a/python/cudf/cudf/_fuzz_testing/io.py b/python/cudf/cudf/_fuzz_testing/io.py
@@ -91,7 +91,7 @@ def get_next_regression_params(self):
         return dtypes_meta, num_rows, num_cols, seed
 
     def set_rand_params(self, params):
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         params_dict = {
             param: rng.choice(values) for param, values in params.items()
         }

diff --git a/python/cudf/cudf/_fuzz_testing/json.py b/python/cudf/cudf/_fuzz_testing/json.py
@@ -105,7 +105,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if param == "dtype" and values == ALL_POSSIBLE_VALUES:
                 dtype_val = rng.choice(
@@ -181,7 +181,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if param == "dtype" and values == ALL_POSSIBLE_VALUES:
                 dtype_val = rng.choice(

diff --git a/python/cudf/cudf/_fuzz_testing/orc.py b/python/cudf/cudf/_fuzz_testing/orc.py
@@ -92,7 +92,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if values == ALL_POSSIBLE_VALUES:
                 if param == "columns":

diff --git a/python/cudf/cudf/_fuzz_testing/parquet.py b/python/cudf/cudf/_fuzz_testing/parquet.py
@@ -95,7 +95,7 @@ def write_data(self, file_name):
 
     def set_rand_params(self, params):
         params_dict = {}
-        rng = np.random.default_rng()
+        rng = np.random.default_rng(seed=None)
         for param, values in params.items():
             if param == "columns" and values == ALL_POSSIBLE_VALUES:
                 col_size = self._rand(len(self._df.columns))

diff --git a/python/cudf/cudf/tests/test_column.py b/python/cudf/cudf/tests/test_column.py
@@ -31,7 +31,7 @@
 @pytest.fixture(params=dtypes, ids=dtypes)
 def pandas_input(request):
     dtype = request.param
-    rng = np.random.default_rng()
+    rng = np.random.default_rng(seed=None)
     size = 100
 
     def random_ints(dtype, size):

diff --git a/python/dask_cudf/dask_cudf/tests/utils.py b/python/dask_cudf/dask_cudf/tests/utils.py
@@ -19,7 +19,7 @@
 
 
 def _make_random_frame(nelem, npartitions=2, include_na=False):
-    rng = np.random.default_rng()
+    rng = np.random.default_rng(seed=None)
     df = pd.DataFrame(
         {"x": rng.random(size=nelem), "y": rng.random(size=nelem)}
     )