/**
   * Load 8 bytes into long in a little endian manner, from the substring between position and
   * position + 8. The array must have at least 8 bytes from offset (inclusive).
   *
   * @param input the input bytes
   * @param offset the offset into the array at which to start
   * @return a long of a concatenated 8 bytes
   */
  static long load64(byte[] input, int offset) {

            str | None,
            Doc(
                """
                A URL to the Terms of Service for your API.

                It will be added to the generated OpenAPI (e.g. visible at `/docs`).

                Read more at the
                [FastAPI docs for Metadata and Docs URLs](https://fastapi.tiangolo.com/tutorial/metadata/#metadata-for-api).

                **Example**

                ```python

 * Copyright 2012-2025 CodeLibs Project and the Others.
 *
 * 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 2026 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,

Go into the language directory, for the main docs in English it's at `docs/en/`:

```console
$ cd docs/en/
```

Then run `mkdocs` in that directory:

```console
$ mkdocs serve --dev-addr 127.0.0.1:8008
```

///

#### Typer CLI (optional)

The instructions here show you how to use the script at `./scripts/docs.py` with the `python` program directly.

 * on the queue the longest time. The tail of the queue is that element that has been on
 * the queue the shortest time. New elements are inserted at the tail of the queue, and the queue
 * retrieval operations obtain elements at the head of the queue.
 *
 * <p>This is a classic &quot;bounded buffer&quot;, in which a fixed-sized array holds elements

 * x is an integer, the result is the value which would appear at index x in the sorted dataset
 * (unless there are {@link Double#NaN NaN} values, see below); otherwise, the result is the average
 * of the values which would appear at the indexes floor(x) and ceil(x) weighted by (1-frac(x)) and

to ask any questions.

## Finding issues to work on

If you are looking for good first issues, take a look at the list of [good first issues](https://github.com/gradle/gradle/labels/good%20first%20issue) that should be actionable and ready for a contribution.

     * graphs, most other settings remain at their generic default value. Use the various setters to further configure
     * the session with authentication, mirror, proxy and other information required for your environment. At least,
     * local repository manager needs to be configured to make session be able to create session instance.
     *

errors.password_length = Password must be at least {0} characters long.
errors.password_no_uppercase = Password must contain at least one uppercase letter.
errors.password_no_lowercase = Password must contain at least one lowercase letter.
errors.password_no_digit = Password must contain at least one digit.
errors.password_no_special_char = Password must contain at least one special character.