}
    /*
     * @IgnoreJRERequirement should be redundant with the one on Streams itself, but it's necessary
     * as of Animal Sniffer 1.24. Maybe Animal Sniffer processes this nested class before it
     * processes Streams and thus hasn't had a chance to see Streams's annotation?
     */
    @IgnoreJRERequirement
    final class WithCharacteristics implements Spliterator<T> {

    while (!data.exhausted()) {
      assertFailsWith<ProtocolException> {
        clientReader.processNextFrame()
      }.also { expected ->
        assertThat(expected.message!!)
          .matches(Regex("Code \\d+ is reserved and may not be used."))
      }
      count++
    }
    assertThat(count).isEqualTo(1988)
  }

  @Test fun clientWithCompressionCannotBeUsedAfterClose() {

        buffer[index++] = (byte) ((messageSize >> 8) & 0xFF);
        buffer[index++] = (byte) ((messageSize >> 16) & 0xFF);
        buffer[index++] = (byte) ((messageSize >> 24) & 0xFF);

        // Reserved (2 bytes)
        buffer[index++] = 0;
        buffer[index++] = 0;

        // Flags (2 bytes) - little-endian
        int flags = 0x0001;
        buffer[index++] = (byte) (flags & 0xFF);

Після цього створіть атрибути класу з фіксованими значеннями, які будуть доступними коректними значеннями:

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip | Порада

Якщо вам цікаво, «AlexNet», «ResNet» та «LeNet» — це просто назви моделей машинного навчання <dfn title="Технічно, архітектури моделей глибокого навчання">моделі</dfn>.

///

### Оголосіть *параметр шляху* { #declare-a-path-parameter }

/* Copyright 2020 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 2009 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// Package tar implements access to tar archives.
//
// Tape archives (tar) are a file format for storing a sequence of files that
// can be read and written in a streaming manner.
// This package aims to cover most variations of the format,
// including those produced by GNU and BSD tar tools.

            searchPaging(data, form);
        });
    }

    /**
     * Resets the search criteria and displays the default list.
     *
     * @param form the search form
     * @return HTML response for the reset list
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse reset(final SearchForm form) {
        labelTypePager.clear();

    getAll(cache, asList(46));
    CacheTesting.drainRecencyQueues(cache);
    assertThat(keySet).contains(0);
  }

  public void testEviction_invalidateAll() {
    // test that .invalidateAll() resets total weight state correctly
    IdentityLoader<Integer> loader = identityLoader();
    LoadingCache<Integer, Integer> cache =
        CacheBuilder.newBuilder().concurrencyLevel(1).maximumSize(10).build(loader);

        final NdrBuffer nb = new NdrBuffer(this.buf, this.start);
        nb.index = idx;
        nb.deferred = this.deferred;
        return nb;
    }

    /**
     * Resets the buffer position to the start.
     */
    public void reset() {
        this.index = this.start;
        this.length = 0;
        this.deferred = this;
    }

    /**
     * Returns the current index position in the buffer.

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip | Astuce

Si vous vous demandez, « AlexNet », « ResNet » et « LeNet » sont juste des noms de <dfn title="Techniquement, architectures de modèles de Deep Learning">modèles</dfn> de Machine Learning.

///

### Déclarer un paramètre de chemin { #declare-a-path-parameter }