}
	objs, err := manifest.ParseMultiple(yaml)
	if err != nil {
		t.Fatal(err)
	}

	mustFindObject(t, objs, "istio-reader-service-account", "ServiceAccount")
	mustFindObject(t, objs, "istio-reader-clusterrole-istio-system", "ClusterRole")
	mustFindObject(t, objs, "istio-reader-clusterrole-istio-system", "ClusterRoleBinding")
}

func mustFindObject(t test.Failer, objs []manifest.Manifest, name, kind string) {

	return &mockReader{0, data, failAfter}
}

func (r *mockReader) Read(p []byte) (n int, err error) {
	if r.pos >= r.failAfter {
		return 0, fmt.Errorf("intentionally unexpected reader error")
	}
	r.pos++
	p[0] = r.mockData
	return 1, nil
}

func TestScannerFailure(t *testing.T) {
	var (
		i         int
		failAfter = 900
		mockData  = byte(32)
	)

import java.nio.CharBuffer;
import java.util.Random;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
public class CharStreamsCopyBenchmark {

import java.nio.CharBuffer;
import java.util.Random;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
public class CharStreamsCopyBenchmark {

            timeZone = TimeZone.getTimeZone("UTC")
        }

        fun readBuildReceiptFromString(buildReceipt: String) =
            Properties().apply { load(buildReceipt.reader()) }

        const val buildReceiptFileName = "build-receipt.properties"
        const val buildReceiptLocation = "org/gradle/$buildReceiptFileName"
    }

    @get:Input
    abstract val version: Property<String>

--- | --- | --- | ---
regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

In a real world scenario, including initialization and reader overhead from varying blob sizes, performance can be expected as below:

	}
	if err != nil {
		return n, err
	}
	return n, err
}

// Write the headers into the given buffer
func (lrw *ResponseRecorder) writeHeaders(w io.Writer, statusCode int, headers http.Header) {
	n, _ := fmt.Fprintf(w, "%d %s\n", statusCode, http.StatusText(statusCode))
	lrw.headerBytesWritten += n
	for k, v := range headers {
		n, _ := fmt.Fprintf(w, "%s: %s\n", k, v[0])
		lrw.headerBytesWritten += n
	}
}

		log.Fatalf("%s\n", err)
	}
	input.Push(NewTokenizer(name, fd, fd))
	return input
}

// The other files in this directory each contain an implementation of TokenReader.

// A TokenReader is like a reader, but returns lex tokens of type Token. It also can tell you what
// the text of the most recently returned token is, and where it was found.
// The underlying scanner elides all spaces except newline, so the input looks like a stream of

        "custom-foo",
        "custom-header",
        "custom-bar",
        "custom-header",
        "custom-baz",
        "custom-header",
      )
    bytesIn.writeByte(0x40) // Literal indexed
    bytesIn.writeByte(0x0a) // Literal name (len = 10)
    bytesIn.writeUtf8("custom-foo")
    bytesIn.writeByte(0x0d) // Literal value (len = 13)
    bytesIn.writeUtf8("custom-header")
    bytesIn.writeByte(0x40) // Literal indexed

import com.google.common.reflect.TypeToken;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.Reader;
import java.io.StringReader;
import java.io.StringWriter;
import java.io.Writer;
import java.lang.reflect.Method;
import java.lang.reflect.Type;
import java.math.BigDecimal;
import java.math.BigInteger;