Cleanup dataset UT: resolve skipped test units

tests/ut/python/dataset/test_2ops.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-from util import save_and_check
-
 import mindspore.dataset as ds
 from mindspore import log as logger
+from util import save_and_check
+
 
 DATA_DIR = ["../data/dataset/testTFTestAllTypes/test.data"]
 SCHEMA_DIR = "../data/dataset/testTFTestAllTypes/datasetSchema.json"
@@ -24,7 +24,7 @@ COLUMNS = ["col_1d", "col_2d", "col_3d", "col_binary", "col_float",
 GENERATE_GOLDEN = False
 
 
-def skip_test_case_0():
+def test_2ops_repeat_shuffle():
     """
     Test Repeat then Shuffle
     """
@@ -43,11 +43,11 @@ def skip_test_case_0():
     ds.config.set_seed(seed)
     data1 = data1.shuffle(buffer_size=buffer_size)
 
-    filename = "test_case_0_result.npz"
+    filename = "test_2ops_repeat_shuffle.npz"
     save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
 
 
-def skip_test_case_0_reverse():
+def skip_test_2ops_shuffle_repeat():
     """
     Test Shuffle then Repeat
     """
@@ -67,11 +67,11 @@ def skip_test_case_0_reverse():
     data1 = data1.shuffle(buffer_size=buffer_size)
     data1 = data1.repeat(repeat_count)
 
-    filename = "test_case_0_reverse_result.npz"
+    filename = "test_2ops_shuffle_repeat.npz"
     save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
 
 
-def test_case_1():
+def test_2ops_repeat_batch():
     """
     Test Repeat then Batch
     """
@@ -87,11 +87,11 @@ def test_case_1():
     data1 = data1.repeat(repeat_count)
     data1 = data1.batch(batch_size, drop_remainder=True)
 
-    filename = "test_case_1_result.npz"
+    filename = "test_2ops_repeat_batch.npz"
     save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
 
 
-def test_case_1_reverse():
+def test_2ops_batch_repeat():
     """
     Test Batch then Repeat
     """
@@ -107,11 +107,11 @@ def test_case_1_reverse():
     data1 = data1.batch(batch_size, drop_remainder=True)
     data1 = data1.repeat(repeat_count)
 
-    filename = "test_case_1_reverse_result.npz"
+    filename = "test_2ops_batch_repeat.npz"
     save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
 
 
-def test_case_2():
+def test_2ops_batch_shuffle():
     """
     Test Batch then Shuffle
     """
@@ -130,11 +130,11 @@ def test_case_2():
     ds.config.set_seed(seed)
     data1 = data1.shuffle(buffer_size=buffer_size)
 
-    filename = "test_case_2_result.npz"
+    filename = "test_2ops_batch_shuffle.npz"
     save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
 
 
-def test_case_2_reverse():
+def test_2ops_shuffle_batch():
     """
     Test Shuffle then Batch
     """
@@ -153,5 +153,14 @@ def test_case_2_reverse():
     data1 = data1.shuffle(buffer_size=buffer_size)
     data1 = data1.batch(batch_size, drop_remainder=True)
 
-    filename = "test_case_2_reverse_result.npz"
+    filename = "test_2ops_shuffle_batch.npz"
     save_and_check(data1, parameters, filename, generate_golden=GENERATE_GOLDEN)
+
+
+if __name__ == '__main__':
+    test_2ops_repeat_shuffle()
+    #test_2ops_shuffle_repeat()
+    test_2ops_repeat_batch()
+    test_2ops_batch_repeat()
+    test_2ops_batch_shuffle()
+    test_2ops_shuffle_batch()

tests/ut/python/dataset/test_exceptions.py

@@ -12,41 +12,54 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-import mindspore.dataset.transforms.vision.c_transforms as vision
 import pytest
-
 import mindspore.dataset as ds
+import mindspore.dataset.transforms.vision.c_transforms as vision
+from mindspore import log as logger
+
 
 DATA_DIR = ["../data/dataset/test_tf_file_3_images/train-0000-of-0001.data"]
 SCHEMA_DIR = "../data/dataset/test_tf_file_3_images/datasetSchema.json"
 
 
-def skip_test_exception():
+def test_exception_01():
+    """
+    Test single exception with invalid input
+    """
+    logger.info("test_exception_01")
     ds.config.set_num_parallel_workers(1)
     data = ds.TFRecordDataset(DATA_DIR, columns_list=["image"])
-    data = data.map(input_columns=["image"], operations=vision.Resize(100, 100))
-    with pytest.raises(RuntimeError) as info:
-        data.create_tuple_iterator().get_next()
-    assert "The shape size 1 of input tensor is invalid" in str(info.value)
-
+    with pytest.raises(ValueError) as info:
+        data = data.map(input_columns=["image"], operations=vision.Resize(100, 100))
+    assert "Invalid interpolation mode." in str(info.value)
 
-def test_sample_exception():
+def test_exception_02():
+    """
+    Test multiple exceptions with invalid input
+    """
+    logger.info("test_exception_02")
     num_samples = 0
     with pytest.raises(ValueError) as info:
         data = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], num_samples=num_samples)
     assert "num_samples must be greater than 0" in str(info.value)
+
     num_samples = -1
     with pytest.raises(ValueError) as info:
         data = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], num_samples=num_samples)
     assert "num_samples must be greater than 0" in str(info.value)
+
     num_samples = 1
     data = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], num_samples=num_samples)
     data = data.map(input_columns=["image"], operations=vision.Decode())
     data = data.map(input_columns=["image"], operations=vision.Resize((100, 100)))
+    # Confirm 1 sample in dataset
+    assert sum([1 for _ in data]) == 1
     num_iters = 0
-    for item in data.create_dict_iterator():
+    for _ in data.create_dict_iterator():
         num_iters += 1
     assert num_iters == 1
 
+
 if __name__ == '__main__':
-    test_exception()
+    test_exception_01()
+    test_exception_02()

tests/ut/python/dataset/test_tfreader_op.py

@@ -261,11 +261,18 @@ def test_case_invalid_files():
 
 if __name__ == '__main__':
     test_case_tf_shape()
+    test_case_tf_read_all_dataset()
+    test_case_num_samples()
+    test_case_num_samples2()
+    test_case_tf_shape_2()
     test_case_tf_file()
     test_case_tf_file_no_schema()
     test_case_tf_file_pad()
     test_tf_files()
     test_tf_record_schema()
     test_tf_record_shuffle()
+    #test_tf_record_shard()
     test_tf_shard_equal_rows()
+    test_case_tf_file_no_schema_columns_list()
+    test_tf_record_schema_columns_list()
     test_case_invalid_files()

tests/ut/python/dataset/test_zip.py

@@ -12,10 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-from util import save_and_check_dict, save_and_check_md5
+import mindspore.dataset as ds
 from mindspore import log as logger
+from util import save_and_check_dict, save_and_check_md5
+
 
-import mindspore.dataset as ds
 
 # Dataset in DIR_1 has 5 rows and 5 columns
 DATA_DIR_1 = ["../data/dataset/testTFBert5Rows1/5TFDatas.data"]
@@ -147,7 +148,7 @@ def test_zip_exception_01():
         logger.info("Got an exception in DE: {}".format(str(e)))
 
 
-def skip_test_zip_exception_02():
+def test_zip_exception_02():
     """
     Test zip: zip datasets with duplicate column name
     """