fix decoupled UT behavior for three test files

Author: gulsumgudukbay

src/maxtext/common/gcloud_stub.py

@@ -309,6 +309,9 @@ def get_bucket(self, *a, **k):  # pylint: disable=unused-argument
     def bucket(self, *a, **k):  # pylint: disable=unused-argument
       return _StubBucket()
 
+    def list_blobs(self, *a, **k):  # pylint: disable=unused-argument
+      return iter([])
+
   return SimpleNamespace(Client=_StubClient, _IS_STUB=True)
 
 

tests/integration/smoke/train_tokenizer_smoke_test.py

@@ -18,8 +18,10 @@
 import unittest
 import pytest
 
+from maxtext.common.gcloud_stub import is_decoupled
 from maxtext.input_pipeline import input_pipeline_utils
 from maxtext.trainers.tokenizer import train_tokenizer
+from tests.utils.test_helpers import get_test_dataset_path
 
 
 class TrainTokenizerFormatTest(unittest.TestCase):
@@ -49,17 +51,26 @@ def _run_format_test(self, file_pattern, file_type):
 
   @pytest.mark.cpu_only
   def test_parquet(self):
-    self._run_format_test("gs://maxtext-dataset/hf/c4/c4-train-00000-of-01637.parquet", "parquet")
+    path = os.path.join(get_test_dataset_path(), "hf", "c4", "c4-train-00000-of-01637.parquet")
+    self._run_format_test(path, "parquet")
 
   @pytest.mark.cpu_only
   def test_arrayrecord(self):
-    self._run_format_test(
-        "gs://maxtext-dataset/array-record/c4/en/3.0.1/c4-train.array_record-00000-of-01024", "arrayrecord"
-    )
+    dataset_root = get_test_dataset_path()
+    if is_decoupled():
+      path = os.path.join(dataset_root, "c4", "en", "3.0.1", "c4-train.array_record-00000-of-00008")
+    else:
+      path = os.path.join(dataset_root, "array-record", "c4", "en", "3.0.1", "c4-train.array_record-00000-of-01024")
+    self._run_format_test(path, "arrayrecord")
 
   @pytest.mark.cpu_only
   def test_tfrecord(self):
-    self._run_format_test("gs://maxtext-dataset/c4/en/3.0.1/c4-train.tfrecord-00000-of-01024", "tfrecord")
+    dataset_root = get_test_dataset_path()
+    if is_decoupled():
+      path = os.path.join(dataset_root, "c4", "en", "3.0.1", "__local_c4_builder-train.tfrecord-00000-of-00008")
+    else:
+      path = os.path.join(dataset_root, "c4", "en", "3.0.1", "c4-train.tfrecord-00000-of-01024")
+    self._run_format_test(path, "tfrecord")
 
 
 if __name__ == "__main__":

tests/unit/diloco_test.py

@@ -269,6 +269,7 @@ def loss_fn(params, batch):
       chex.assert_trees_all_equal(diloco_test_state.params, step_three_outer_params)
 
   @pytest.mark.cpu_only
+  @pytest.mark.tpu_backend
   def test_diloco_qwen3_moe_two_slices(self):
     temp_dir = gettempdir()
     compiled_trainstep_file = os.path.join(temp_dir, "test_compiled_diloco_qwen3_moe.pickle")

tests/unit/grain_data_processing_test.py

@@ -103,10 +103,9 @@ def setUp(self):
       grain_train_files = os.path.join(
           dataset_root,
           "c4",
-          "array-record",
           "en",
           "3.0.1",
-          "c4-train.array_record-00000-of-01024",
+          "c4-train.array_record-00000-of-00008",
       )
       base_output_directory = get_test_base_output_directory()
     else:
@@ -384,7 +383,7 @@ def setUp(self):
           "c4",
           "en",
           "3.0.1",
-          "c4-train.tfrecord-00000-of-01024",
+          "__local_c4_builder-train.tfrecord-00000-of-00008",
       )
       base_output_directory = get_test_base_output_directory()
     else:
@@ -427,6 +426,7 @@ def setUp(self):
     self.train_iter = grain_data_processing.make_grain_train_iterator(self.config, self.mesh, self.process_indices)
 
 
+@pytest.mark.external_training
 class GrainSFTParquetProcessingTest(unittest.TestCase):
   """Tests the SFT pipeline end-to-end using the real ultrachat_200k parquet dataset."""