import java.nio.charset.Charset;
import java.util.Random;

/**
 * Benchmarks for various potential implementations of {@code ByteSource.asCharSource(...).read()}.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
public class ByteSourceAsCharSourceReadBenchmark {
  enum ReadStrategy {
    TO_BYTE_ARRAY_NEW_STRING {
      @Override

before a garbage collection delays that cycle. Less frequent cycles means
the CPU cost of the garbage collector is incurred less frequently.

This functionality in this package is mostly captured in the Arena type.
Arenas allocate large chunks of memory for Go values, so they're likely to
be inefficient for allocating only small amounts of small Go values. They're
best used in bulk, on the order of MiB of memory allocated on each use.

# ADR-0004 - Use a platform-oriented architecture for Gradle

## Date

2024-02-07

## Context

The Gradle code base is essentially a large monolith, without strong internal boundaries.
This has a number of negative effects on productivity, including:

- Unclear ownership of code.
- Difficult to focus on one particular area.
- Unintended coupling between areas of the code, including tests.

## Decision

of them that contain failures into one file. The TensorFlow DevInfra team
uses this to generate a simple overview of an entire pip and nonpip test
invocation, since the normal logs that Bazel creates are too large for the
internal invocation viewer.
"""
import collections
import os
import re
import subprocess
import sys
from junitparser import JUnitXml

result = JUnitXml()
try:

        testCoverage: TestCoverage,
        parallelization: (Int) -> ParallelizationMethod
    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end

    };

    static final String[] NT_STATUS_MESSAGES = {
        "The operation completed successfully.", "Request is pending", "A notify change request is being completed.",
        "The data was too large to fit into the specified buffer.", "A device attached to the system is not functioning.", "Incorrect function.",

		return false, err
	}
	defer o.args.CloseRespFn(resp.Body)

	// Read the body to be saved later.
	opaRespBytes, err := io.ReadAll(resp.Body)
	if err != nil {
		return false, err
	}

	// Handle large OPA responses when OPA URL is of
	// form http://localhost:8181/v1/data/httpapi/authz
	type opaResultAllow struct {
		Result struct {
			Allow bool `json:"allow"`
		} `json:"result"`
	}

  @Test fun `large object inside small object`() {
    val bytes = "301b300d06092a864886f70d010101050003847fffffff000504030201".decodeHex()
    assertFailsWith<ProtocolException> {
      CertificateAdapters.subjectPublicKeyInfo.fromDer(bytes)
    }.also { expected ->
      assertThat(expected.message).isEqualTo("enclosed object too large")
    }
  }

 *     process(part.headers, part.body)
 *   }
 * }
 * ```
 *
 * Note that [nextPart] will skip any unprocessed data from the preceding part. If the preceding
 * part is particularly large or if the underlying source is particularly slow, the [nextPart] call
 * may be slow!
 *
 * Closing a part **does not** close this multipart reader; callers must explicitly close this with
 * [close].
 *

   * range. If {@code safeMax < safeMin} then no characters are considered safe. This initializer is
   * useful when explicit instances of ArrayBasedEscaperMap are used to allow the sharing of large
   * replacement mappings.
   *
   * <p>If a character has no mapped replacement then it is checked against the safe range. If it
   * lies outside that, then {@link #escapeUnsafe} is called, otherwise no escaping is performed.