*/

    @Override
    public int read () throws IOException {
        // need oplocks to cache otherwise use BufferedInputStream
        if ( read(this.tmp, 0, 1) == -1 ) {
            return -1;
        }
        return this.tmp[ 0 ] & 0xFF;
    }


    /**
     * Reads up to b.length bytes of data from this input stream into an array of bytes.
     *
     * @throws IOException

  // and not for correctness. The only downside of keeping this 1 seems to be
  // that the gradient accumulation is unbounded and we will never
  // aggressively aggregate accumulated gradients to recover memory.
  // Revisit and fix.
  return 1;
}

// Consumes references to the tensors in the gradient_tensors list and returns
// a tensor with the result.

		whCA        string
		numWebhooks int
	}{
		{
			name:        "webhook-pointing-to-service",
			webhook:     revisionCanonicalWebhook,
			tagName:     "canary",
			whURL:       "",
			whSVC:       "istiod-revision",
			whCA:        "ca",
			numWebhooks: 2,
		},
		{
			name:        "webhook-pointing-to-url",
			webhook:     revisionCanonicalWebhookRemote,
			tagName:     "canary",

~~ Licensed to the Apache Software Foundation (ASF) under one
~~ or more contributor license agreements.  See the NOTICE file
~~ distributed with this work for additional information
~~ regarding copyright ownership.  The ASF licenses this file
~~ to you under the Apache License, Version 2.0 (the
~~ "License"); you may not use this file except in compliance
~~ with the License.  You may obtain a copy of the License at
~~
~~ http://www.apache.org/licenses/LICENSE-2.0

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

~~ Licensed to the Apache Software Foundation (ASF) under one
~~ or more contributor license agreements.  See the NOTICE file
~~ distributed with this work for additional information
~~ regarding copyright ownership.  The ASF licenses this file
~~ to you under the Apache License, Version 2.0 (the
~~ "License"); you may not use this file except in compliance
~~ with the License.  You may obtain a copy of the License at
~~
~~ http://www.apache.org/licenses/LICENSE-2.0

<?xml version="1.0" encoding="UTF-8"?>

<!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

<?xml version="1.0" encoding="UTF-8"?>

<!--
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

		if testCase.expectedErrCode != actualErrCode {
			t.Fatalf("Test %d: Expected the APIErrCode to be %d, got %d", i+1, testCase.expectedErrCode, actualErrCode)
		}
		if actualErrCode == ErrNone {
			if testCase.expectedSignStr != actualSignStr {
				t.Errorf("Test %d: Expected the result to be \"%s\", but got \"%s\". ", i+1, testCase.expectedSignStr, actualSignStr)
			}
		}

	}
}

 *
 * <p>Parameters for the benchmark are:
 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 * </ul>
 *
 * @author Colin Decker
 */
public class ChecksumBenchmark {

  // Use a constant seed for all of the benchmarks to ensure apples to apples comparisons.
  private static final int RANDOM_SEED = new Random().nextInt();

  @Param({"10", "1000", "100000", "1000000"})