This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        int | None,
        Doc(
            """

import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.testing.SerializableTester;
import org.junit.Ignore;

/**
 * Basic reserialization test for collection types that must preserve {@code equals()} behavior when
 * reserialized. (Sets and Lists, but not bare Collections.)
 *
 * @author Louis Wasserman
 */
@GwtCompatible

import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.testing.SerializableTester;
import org.junit.Ignore;

/**
 * Basic reserialization test for collection types that must preserve {@code equals()} behavior when
 * reserialized. (Sets and Lists, but not bare Collections.)
 *
 * @author Louis Wasserman
 */
@GwtCompatible

#!/usr/bin/env bash
#
# Copyright 2024 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,

        // Verify the bytes written
        assertTrue(bytesWritten > 0);

        // For secondary, first byte should be 0x00 (Reserved)
        assertEquals(0, dst[0]);

        // Verify reserved bytes
        assertEquals(0, dst[1]);
        assertEquals(0, dst[2]);

        // Verify total parameter count (4 bytes at position 3)

   *
   * <p>We have chosen this approach over at least two alternatives:
   *
   * <ul>
   *   <li>We could change the serialization of this class incompatibly. We have reserved the right
   *       to make such changes to our serialized forms, and we have made them before, usually
   *       without trouble. In this case, my guess is that our chosen approach is even less likely

# Copyright 2023 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,

# Copyright 2023 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,

# Copyright 2024 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,

# Copyright 2019 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,