# Copyright 2022 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,

import com.google.common.collect.ListMultimap;
import java.util.Collection;
import org.checkerframework.checker.nullness.qual.Nullable;
import org.junit.Ignore;

/**
 * Superclass for all {@code ListMultimap} testers.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
@Ignore // Affects only Android test runner, which respects JUnit 4 annotations on JUnit 3 tests.
@SuppressWarnings("JUnit4ClassUsedInJUnit3")

labels.search_list_configuration=Search
labels.search_list_button_delete=Удалить
labels.search_list_delete_confirmation=Do you really want to delete?
labels.search_list_button_delete_all=Delete all with this query
labels.search_list_delete_all_confirmation=Do you really want to delete all with this query?
labels.search_list_button_cancel=Cancel
labels.failure_url_configuration=Failure URL
labels.failure_url_search_url=URL

// 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.

Auf diese Weise können Sie die Dinge für den Client-Code richtig ordnen und gruppieren:

<img src="/img/tutorial/generate-clients/image06.png">

In diesem Fall haben Sie:

* `ItemsService`
* `UsersService`

### Client-Methodennamen

Im Moment sehen die generierten Methodennamen wie `createItemItemsPost` nicht sehr sauber aus:

```TypeScript

### Tags mittels Enumeration

Wenn Sie eine große Anwendung haben, können sich am Ende **viele Tags** anhäufen, und Sie möchten sicherstellen, dass Sie für verwandte *Pfadoperationen* immer den **gleichen Tag** nehmen.

In diesem Fall macht es Sinn, die Tags in einem `Enum` zu speichern.

**FastAPI** unterstützt diese genauso wie einfache Strings:

```Python hl_lines="1  8-10  13  18"
{!../../docs_src/path_operation_configuration/tutorial002b.py!}
```

	//TODO: CALLQ* (BX)                     // ff13
	//TODO: CALLQ* (R11)                    // 41ff13
	//TODO: CALLQ* DX                       // ffd2
	//TODO: CALLQ* R11                      // 41ffd3
	//TODO: CALL .+$0x11223344              // e844332211 or 48e844332211
	//TODO: LCALLW* (BX)                    // 66ff1b
	//TODO: LCALLW* (R11)                   // 6641ff1b
	//TODO: LCALLL* (BX)                    // ff1b

                    toList(result.getArtifacts()),
                    result.getMissingArtifacts(),
                    request.getRemoteRepositories());
        }

        // this should never happen since we checked all possible error sources before but better be sure
        if (result.hasExceptions()) {
            throw new ArtifactResolutionException(

/* 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,

  '#makeGrid':: d.func.new(
    |||
      `makeGrid` returns an array of `panels` organized in a grid with equal width
      and `panelHeight`. Row panels are used as "linebreaks", if a Row panel is collapsed,
      then all panels below it will be folded into the row.

      Optional `startY` can be provided to place generated grid above or below existing panels.
    |||,
    args=[
      d.arg('panels', d.T.array),