echo "done"

if [ ! -f ./mc ]; then
	echo -n "Downloading MinIO client ..."
	wget -O mc https://dl.min.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
	echo "done"
fi

export MC_HOST_minio1=https://minio:minio123@localhost:9001
export MC_HOST_minio2=https://minio:minio123@localhost:9002

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

   * minimizes the size of the subranges from which the remaining selections must be done.
   */
  private static int chooseNextSelection(
      int[] allRequired, int requiredFrom, int requiredTo, int from, int to) {
    if (requiredFrom == requiredTo) {
      return requiredFrom; // only one thing to choose, so choose it
    }

    // Find the center and round down. The true center is either centerFloor or halfway between

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, den Request-Payload als JSON zu parsen.

Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:

//// tab | Pydantic v2

		aws --endpoint-url http://localhost:"$start_port" s3api upload-part \
			--upload-id "$uploadId" --bucket bucket --key obj-1 \
			--part-number "$i" --body ./file-5mib
	done
	for i in {1..6}; do
		find ${WORK_DIR}/disk${i}/.minio.sys/multipart/ -type f -name "part.1" -delete
	done
	cat <<EOF >parts.json
{
    "Parts": [
        {
            "PartNumber": 1,
            "ETag": "5f363e0e58a95f06cbe9bbc662c5dfb6"
        },

		shardFileSize: e.ShardFileSize(totalLength),
		buf:           make([][]byte, len(readers)),
		readerToBuf:   r2b,
		stashBuffer:   b,
	}
}

// Done will release any resources used by the parallelReader.
func (p *parallelReader) Done() {
	if p.stashBuffer != nil {
		globalBytePoolCap.Load().Put(p.stashBuffer)
		p.stashBuffer = nil
	}
}

// preferReaders can mark readers as preferred.

 * static final} constants.
 *
 * {@snippet :
 * // Bad! Do not do this!
 * Joiner joiner = Joiner.on(',');
 * joiner.skipNulls(); // does nothing!
 * return joiner.join("wrong", null, "wrong");
 * }
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/StringsExplained#joiner">{@code Joiner}</a>.
 *

	if res.ttl != noEvictionTTL {
		go func(done <-chan struct{}) {
			ticker := time.NewTicker(res.ttl / numBuckets)
			defer ticker.Stop()
			for {
				select {
				case <-done:
					return
				case <-ticker.C:
					res.deleteExpired()
				}
			}
		}(res.done)
	}
	return &res
}

// Purge clears the cache completely.

echo "done"

if [ ! -f ./mc ]; then
	echo -n "Downloading MinIO client ..."
	wget -O mc https://dl.min.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
	echo "done"
fi

export MC_HOST_minio1=https://minio:minio123@localhost:9001
export MC_HOST_minio2=https://minio:minio123@localhost:9002

     * @return An iterator of URL objects for the resources. If no resources are found, the iterator will be empty.
     *         Resources that the class loader does not have access to will not be included.
     * @see java.lang.ClassLoader#getResources(String)
     */
    public static Iterator<URL> getResources(final String name) {
        assertArgumentNotEmpty("name", name);