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chore: import upstream snapshot with attribution
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Python

# Copyright 2025 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import parsing_config
from tensorflow.python.platform import test
class RaggedFeatureTest(test.TestCase):
def test_validate_and_recreate_partition_row_splits(self):
"""Tests _validate_and_recreate_partition with RowSplits."""
partition_types = parsing_config.RaggedFeature._PARTITION_TYPES
partition = parsing_config.RaggedFeature.RowSplits(key="test_key")
recreated_partition = (
parsing_config.RaggedFeature._validate_and_recreate_partition(
partition, partition_types
)
)
self.assertIsInstance(
recreated_partition, parsing_config.RaggedFeature.RowSplits
)
self.assertEqual(recreated_partition.key, "test_key")
def test_validate_and_recreate_partition_row_lengths(self):
"""Tests _validate_and_recreate_partition with RowLengths."""
partition_types = parsing_config.RaggedFeature._PARTITION_TYPES
partition = parsing_config.RaggedFeature.RowLengths(key="test_key2")
recreated_partition = (
parsing_config.RaggedFeature._validate_and_recreate_partition(
partition, partition_types
)
)
self.assertIsInstance(
recreated_partition, parsing_config.RaggedFeature.RowLengths
)
self.assertEqual(recreated_partition.key, "test_key2")
def test_validate_and_recreate_partition_uniform_row_length(self):
"""Tests _validate_and_recreate_partition with UniformRowLength."""
partition_types = parsing_config.RaggedFeature._PARTITION_TYPES
partition = parsing_config.RaggedFeature.UniformRowLength(length=5)
recreated_partition = (
parsing_config.RaggedFeature._validate_and_recreate_partition(
partition, partition_types
)
)
self.assertIsInstance(
recreated_partition, parsing_config.RaggedFeature.UniformRowLength
)
self.assertEqual(recreated_partition.length, 5)
def test_validate_and_recreate_partition_invalid(self):
"""Tests _validate_and_recreate_partition with an invalid partition type."""
partition_types = parsing_config.RaggedFeature._PARTITION_TYPES
class InvalidPartition:
def __init__(self, key):
self.key = key
partition = InvalidPartition(key="invalid_key")
with self.assertRaisesRegex(
TypeError, "cannot be cast to any of the partition"
):
parsing_config.RaggedFeature._validate_and_recreate_partition(
partition, partition_types
)
def test_ragged_feature_new_with_valid_partitions(self):
"""Tests RaggedFeature constructor with valid partitions."""
partitions = [
parsing_config.RaggedFeature.RowSplits(key="s1"),
parsing_config.RaggedFeature.UniformRowLength(length=3),
]
feature = parsing_config.RaggedFeature(
dtype=dtypes.int64, partitions=partitions
)
self.assertEqual(feature.dtype, dtypes.int64)
self.assertLen(feature.partitions, 2)
self.assertIsInstance(
feature.partitions[0], parsing_config.RaggedFeature.RowSplits
)
self.assertEqual(feature.partitions[0].key, "s1")
self.assertIsInstance(
feature.partitions[1], parsing_config.RaggedFeature.UniformRowLength
)
self.assertEqual(feature.partitions[1].length, 3)
def test_ragged_feature_new_with_invalid_partitions(self):
"""Tests RaggedFeature constructor with invalid partitions."""
class InvalidPartition:
def __init__(self, key):
self.key = key
partitions = [
InvalidPartition(key="invalid_key"),
]
with self.assertRaisesRegex(
TypeError, "cannot be cast to any of the partition"
):
parsing_config.RaggedFeature(dtype=dtypes.int64, partitions=partitions)
if __name__ == "__main__":
test.main()