outs = ["tensorflow_filtered_def_file.def"],
    cmd = select({
        "//tensorflow:windows": """
              $(location @local_config_def_file_filter//:def_file_filter) \\
              --input $(location :tensorflow_def_file) \\
              --output $@
          """,
        "//conditions:default": "touch $@",  # Just a placeholder for Unix platforms
    }),

    }
  }

  /**
   * Convert a list of hextets into a human-readable IPv6 address.
   *
   * <p>In order for "::" compression to work, the input should contain negative sentinel values in
   * place of the elided zeroes.
   *
   * @param hextets {@code int[]} array of eight 16-bit hextets, or -1s
   */
  private static String hextetsToIPv6String(int[] hextets) {

labels.webApiJson=Risposta JSON
labels.webConfigName=Nome configurazione scansione web
labels.allLanguages=Tutte le lingue
labels.dictId=ID dizionario
labels.docId=ID documento
labels.endTime=Ora di fine
labels.hq=hq
labels.inputs=Input
labels.jobLogging=Logging
labels.jobName=Nome
labels.jobStatus=Stato
labels.labelTypeIds=Etichette
labels.lang=Lingua
labels.outputs=Output
labels.pos=Parte del discorso

    result in it OkHttp starting a thread for each queued task, even when a single thread could run
    all of them.

 *  Fix: Address a performance bug in `MultipartReader`. We were scanning the entire input stream
    for a delimiter when we only needed to scan enough to return a result.

 *  Fix: Don't double-compress the public suffix database. OkHttp is usually distributed in a

  }

  private static final Object NOT_FOUND = new Object();

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based

		}
	}
	for i := range endpoints {
		endpoints[i].IsLocal = endpointLocalMap[endpoints[i].Host]
	}
	return nil
}

// NewEndpoints - returns new endpoint list based on input args.
func NewEndpoints(args ...string) (endpoints Endpoints, err error) {
	var endpointType EndpointType
	var scheme string

	uniqueArgs := set.NewStringSet()
	// Loop through args and adds to endpoint list.

 * wikipedia</a> as providing "Linear interpolation of the modes for the order statistics for the
 * uniform distribution on [0,1]."
 *
 * <h3>Handling of non-finite values</h3>
 *
 * <p>If any values in the input are {@link Double#NaN NaN} then all values returned are {@link
 * Double#NaN NaN}. (This is the one occasion when the behaviour is not the same as you'd get from

myminio/$BUCKET > /dev/null 2>&1) return $? } # createBucket ($bucket, $policy, $purge) # Ensure bucket exists, purging if asked to createBucket() { BUCKET=$1 POLICY=$2 PURGE=$3 VERSIONING=$4 # Purge the bucket, if set & exists # Since PURGE is user input, check explicitly for `true` if [ $PURGE = true ]; then if checkBucketExists $BUCKET ; then echo "Purging bucket '$BUCKET'." set +e ; # don't exit if this fails ${MC} rm -r --force myminio/$BUCKET set -e ; # reset `e` as active else echo "Bucket '$BUCKET'...

public abstract class ImmutableSortedSet<E> extends ImmutableSet<E>
    implements NavigableSet<E>, SortedIterable<E> {
  /**
   * Returns a {@code Collector} that accumulates the input elements into a new {@code
   * ImmutableSortedSet}, ordered by the specified comparator.
   *
   * <p>If the elements contain duplicates (according to the comparator), only the first duplicate

因此，在等待「慢速檔案」📝 完成的這段時間，電腦可以去處理一些其他工作。

接著程式 🤖 會在有空檔時回來查看是否有等待的工作已經完成，並執行必要的後續操作。

接下來，它 🤖 完成第一個工作（例如我們的「慢速檔案」📝）並繼續執行相關的所有操作。
這個「等待其他事情」通常指的是一些相對較慢的（與處理器和 RAM 記憶體的速度相比）的 <abbr title="Input and Output">I/O</abbr> 操作，比如說：

* 透過網路傳送來自用戶端的資料
* 從網路接收來自用戶端的資料
* 從磁碟讀取檔案內容
* 將內容寫入磁碟
* 遠端 API 操作
* 資料庫操作
* 資料庫查詢
* 等等

由於大部分的執行時間都消耗在等待 <abbr title="輸入與輸出">I/O</abbr> 操作上，因此這些操作被稱為 "I/O 密集型" 操作。