return nil
}

// Now, we read one chunk from the underlying reader.
// A chunk has the following format:
//
//	<chunk-size-as-hex> + ";chunk-signature=" + <signature-as-hex> + "\r\n" + <payload> + "\r\n"
//
// First, we read the chunk size but fail if it is larger
// than 16 MiB. We must not accept arbitrary large chunks.
// One 16 MiB is a reasonable max limit.
//

    String regexPattern = "(?<=:)";
    Iterable<String> split = Splitter.onPattern(regexPattern).split(toSplit);
    assertThat(split).containsExactly(":", "foo:", ":", "barbaz:").inOrder();
    // splits into chunks ending in :
  }

  @J2ktIncompatible // Kotlin Native's regex is based on Apache Harmony, like old Android
  @GwtIncompatible // java.util.regex.Pattern

			f.Modified = modified.In(timeZone(msdosModified.Sub(modified)))
		}
	}

	// Assume that uncompressed size 2³²-1 could plausibly happen in
	// an old zip32 file that was sharding inputs into the largest chunks
	// possible (or is just malicious; search the web for 42.zip).
	// If needUSize is true still, it means we didn't see a zip64 extension.
	// As long as the compressed size is not also 2³²-1 (implausible)

			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			shouldPass:         false,
			fault:              malformedEncoding,
		},
		// Test case - 8
		// Chunk with shorter than advertised chunk data.
		{
			bucketName:         bucketName,
			objectName:         objectName,
			data:               oneKData,
			dataLen:            1024,
			chunkSize:          1024,

		panic("bytes: Repeat output length overflow")
	}
	n := int(lo) // lo = len(b) * count

	if len(b) == 0 {
		return []byte{}
	}

	// Past a certain chunk size it is counterproductive to use
	// larger chunks as the source of the write, as when the source
	// is too large we are basically just thrashing the CPU D-cache.
	// So if the result length is larger than an empirically-found

		return err
	}
	return nil
}

// restoreTransitionedObject for multipart object chunks the file stream from remote tier into the same number of parts
// as in the xl.meta for this version and rehydrates the part.n into the fi.DataDir for this version as in the xl.meta

- `kubectl describe` will by default fetch large lists of resources in chunks of up to 500 items rather than requesting all resources up front from the server. A new flag `--chunk-size=SIZE` may be used to alter the number of items or disable this feature when `0` is passed.  This is a beta feature. ([#101171](https://github.com/kubernetes/kubernetes/pull/101171), [@KnVere...

* `kubectl get` will by default fetch large lists of resources in chunks of up to 500 items rather than requesting all resources up front from the server. This reduces the perceived latency of managing large clusters since the server returns the first set of results to the client much more quickly.  A new flag `--chunk-size=SIZE` may be used to alter the number of items or disable this feature when `0` is passed.  This is a beta feature. (...

The Kubernetes API server now supports the ability to break large LIST calls into multiple smaller chunks. A client can specify a limit to the number of results to return. If more results exist, a token is returned that allows the client to continue the previous list call repeatedly until all results are retrieved.  The resulting list is identical to a list call that does not perform chunking, thanks to capabilities provided by etcd3.  This allows the server to use less memory and CPU when very large...

            // Given
            SrvCopychunk chunk1 = new SrvCopychunk(100, 200, 300);
            SrvCopychunk chunk2 = new SrvCopychunk(400, 500, 600);
            SrvCopychunk chunk3 = new SrvCopychunk(700, 800, 900);
            byte[] buffer = new byte[EXPECTED_SIZE * 3];

            // When
            int offset1 = chunk1.encode(buffer, 0);
            int offset2 = chunk2.encode(buffer, offset1);