if err := api.Walk(ctx, r.Bucket, r.Prefix, results, WalkOptions{
		Marker: lastObject,
		Filter: selectObj,
	}); err != nil {
		cancel()
		// Do not need to retry if we can't list objects on source.
		return err
	}
	failed := false
	for res := range results {
		if res.Err != nil {
			failed = true
			batchLogIf(ctx, res.Err)
			break
		}
		result := res.Item

- Resolve a "concurrent map read and map write" crashing error in the kubelet ([#95111](https://github.com/kubernetes/kubernetes/pull/95111), [@choury](https://github.com/choury)) [SIG Node]
- Resolves spurious `Failed to list *v1.Secret` or `Failed to list *v1.ConfigMap` messages in kubelet logs. ([#99538](https://github.com/kubernetes/kubernetes/pull/99538), [@liggitt](https://github.com/liggitt)) [SIG Auth and Node]

/// note | 備考

違いが分からない場合は、[Async: *"急いでいますか？"*](../async.md#_1){.internal-link target=_blank}を確認してください。

///

### Step 5: コンテンツの返信

{* ../../docs_src/first_steps/tutorial001.py hl[8] *}

`dict`、`list`、`str`、`int`などを返すことができます。

Pydanticモデルを返すこともできます（後で詳しく説明します）。

JSONに自動的に変換されるオブジェクトやモデルは他にもたくさんあります（ORMなど）。 お気に入りのものを使ってみてください。すでにサポートされている可能性が高いです。

## まとめ

* `FastAPI`をインポート
* `app`インスタンスを生成

	h.BytesDone = h.ResumeBytesDone
	h.BytesFailed = h.ResumeBytesFailed
	h.BytesSkipped = h.ResumeBytesSkipped
}

// bucketDone should be called when a bucket is done healing.
// Adds the bucket to the list of healed buckets and updates resume numbers.
func (h *healingTracker) bucketDone(bucket string) {
	h.mu.Lock()
	defer h.mu.Unlock()

	h.ResumeItemsHealed = h.ItemsHealed
	h.ResumeItemsFailed = h.ItemsFailed

		{[]string{"https://localhost:9000/d1", "https://localhost:9001/d2", "https://localhost:9002/d3", "https://localhost:9003/d4"}, nil},
		// // It is valid WRT endpoint list that same path is expected with different port on same server.
		{[]string{"https://127.0.0.1:9000/d1", "https://127.0.0.1:9001/d1", "https://127.0.0.1:9002/d1", "https://127.0.0.1:9003/d1"}, nil},

hive.blobstore.use.blobstore.as.scratchdir=true
hive.exec.input.listing.max.threads=50
hive.load.dynamic.partitions.thread=25
hive.metastore.fshandler.threads=50
hive.mv.files.threads=40
mapreduce.input.fileinputformat.list-status.num-threads=50
```

import com.google.common.collect.Sets;
import com.google.j2objc.annotations.Weak;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.EnumMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.ReentrantLock;

    }

    /**
     * Handles directory listing requests for SMB directories.
     * @param req the HTTP servlet request
     * @param resp the HTTP servlet response
     * @param dir the SMB directory to list
     * @throws IOException if an I/O error occurs
     */
    @SuppressWarnings("resource")
    protected void doDirectory(final HttpServletRequest req, final HttpServletResponse resp, final SmbFile dir) throws IOException {

///

### Чтение данных героев с помощью `HeroPublic`

Мы можем проделать то же самое **для чтения данных** героев. Мы применим модель ответа `response_model=list[HeroPublic]`, и тем самым обеспечим правильную проверку и сериализацию данных.

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[65:72] hl[65] *}

### Чтение данных отдельного героя с помощью `HeroPublic`

    * Chuyển đổi kiểu dữ liệu Python (`str`, `int`, `float`, `bool`, `list`,...).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.
    * ...và nhiều hơn thế.
* Tự động tạo tài liệu tương tác API, bao gồm 2 giao diện người dùng:
    * Swagger UI.
    * ReDoc.