private final int maxLineBuffer;

        /**
         * Constructs a new InputStreamThread.
         * @param is The InputStream to read from.
         * @param charset The charset to use for reading.
         * @param maxOutputLineBuffer The maximum number of lines to buffer.
         */
        public InputStreamThread(final InputStream is, final String charset, final int maxOutputLineBuffer) {
            try {

import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.optional.OptionalEntity;

/**
 * Manages a dictionary file for synonyms.
 * This class handles reading, parsing, and updating files that contain
 * synonym rules. The file format supports both explicit mappings (e.g., `a => b`)
 * and equivalent synonyms (e.g., `a, b, c`).
 *

  }

  /**
   * Read 100 MiB of 'a' chars. This was really slow due to a performance bug in [MultipartReader],
   * and will be really slow if we regress the fix for that.
   */
  @Test
  fun `reading a large part with small byteCount`() {
    val multipartBody =
      MultipartBody
        .Builder("foo")
        .addPart(
          headersOf("header-name", "header-value"),
          object : RequestBody() {

import java.text.ParseException
import java.text.SimpleDateFormat
import java.util.Date
import java.util.TimeZone
import kotlin.reflect.KClass
import okio.ByteString

/**
 * Built-in adapters for reading standard ASN.1 types.
 */
internal object Adapters {
  val BOOLEAN =
    BasicDerAdapter(
      name = "BOOLEAN",
      tagClass = DerHeader.TAG_CLASS_UNIVERSAL,
      tag = 1L,
      codec =

しかし例外ハンドラで処理されない例外を発生させた場合は、依存関係の終了コードで処理されます。

///

## コンテキストマネージャ

### 「コンテキストマネージャ」とは

「コンテキストマネージャ」とは、`with`文の中で使用できるPythonオブジェクトのことです。

例えば、<a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">ファイルを読み込むには`with`を使用することができます</a>:

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

	}
}

var s2DecPool = bpool.Pool[*s2.Reader]{New: func() *s2.Reader {
	// Default alloc block for network transfer.
	return s2.NewReader(nil, s2.ReaderAllocBlock(16<<10))
}}

// metacacheReader allows reading a cache stream.
type metacacheReader struct {
	mr      *msgp.Reader
	current metaCacheEntry
	err     error // stateful error
	closer  func()
	creator func() error
}

    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {
    // Make a copy so that we can mutate it.

	// Object operations.

	// GetObjectNInfo returns a GetObjectReader that satisfies the
	// ReadCloser interface. The Close method runs any cleanup
	// functions, so it must always be called after reading till EOF
	//
	// IMPORTANTLY, when implementations return err != nil, this
	// function MUST NOT return a non-nil ReadCloser.

 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *

	if !opts.NoAuditLog {
		auditObjectErasureSet(ctx, "GetObjectInfo", object, &er)
	}

	if !opts.NoLock {
		// Lock the object before reading.
		lk := er.NewNSLock(bucket, object)
		lkctx, err := lk.GetRLock(ctx, globalOperationTimeout)
		if err != nil {
			return ObjectInfo{}, err
		}
		ctx = lkctx.Context()
		defer lk.RUnlock(lkctx)
	}