// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

    }

    /**
     * Subclasses should invoke this method to set the result of the computation to {@code value}.
     * This will set the state of the future to {@link OldAbstractFuture.Sync#COMPLETED} and invoke
     * the listeners if the state was successfully changed.
     *
     * @param value the value that was the result of the task.
     * @return true if the state was successfully changed.
     */
    @CanIgnoreReturnValue

            System.arraycopy(input, offset + i, buffer, bufferNdx, len - i);
        }
    }

    /**
     * Completes the hash computation by performing final operations such
     * as padding. At the return of this engineDigest, the MD engine is
     * reset.
     *
     * @return the array of bytes for the resulting hash value.
     */
    @Override
    public byte[] engineDigest() {

// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

{* ../../docs_src/path_params/tutorial005_py310.py hl[16] *}

### Check the docs { #check-the-docs }

Because the available values for the *path parameter* are predefined, the interactive docs can show them nicely:

<img src="/img/tutorial/path-params/image03.png">

Actually, all (or most) of the web frameworks work in this same way.

You never call those functions directly. They are called by your framework (in this case, **FastAPI**).

# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

# First, set your TFCI variable to choose the environment settings.
#   TFCI is a comma-separated list of filenames from the envs directory, which
#   are all settings for the scripts. TF's CI jobs are all made of a combination

    }

    /**
     * Group a set of files by the version in which they first appeared, up until the supplied version. Any files not
     * present in an earlier version are assumed to have been introduced in the specified version.
     *
     * <p>This method works by finding all git tags prior to {@param versionString} in the same minor series, and

 * Specifies configuration for the socket connection that HTTP traffic travels through. For `https:`
 * URLs, this includes the TLS version and cipher suites to use when negotiating a secure
 * connection.
 *
 * The TLS versions configured in a connection spec are only be used if they are also enabled in the
 * SSL socket. For example, if an SSL socket does not have TLS 1.3 enabled, it will not be used even

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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
 *