// Number of checksum info == total parts.
	xlMeta.Erasure.Checksums = make([]ChecksumInfo, totalParts)
	// total number of parts.
	xlMeta.Parts = make([]ObjectPartInfo, totalParts)
	for i := 0; i < totalParts; i++ {
		// hard coding hash and algo value for the checksum, Since we are benchmarking the parsing of xl.meta the magnitude doesn't affect the test,
		// The magnitude doesn't make a difference, only the size does.

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

// Formatting options for Messages
const (
	LogFormat  = "log"
	JSONFormat = "json"
	YAMLFormat = "yaml"
)

var (
	MsgOutputFormatKeys = []string{LogFormat, JSONFormat, YAMLFormat}
	MsgOutputFormats    = make(map[string]bool)
	termEnvVar          = env.Register("TERM", "", "Specifies terminal type.  Use 'dumb' to suppress color output")
)

func init() {
	for _, key := range MsgOutputFormatKeys {
		MsgOutputFormats[key] = true

    if (deferredPlans.isNotEmpty()) return deferredPlans.removeFirst()

    // Do blocking calls to plan a route for a new connection.
    val connect = planConnect()

    // Now that we have a set of IP addresses, make another attempt at getting a connection from
    // the pool. We have a better chance of matching thanks to connection coalescing.
    val pooled2 = planReusePooledConnection(connect, connect.routes)

    <option name="TEST_SEARCH_SCOPE">
      <value defaultName="wholeProject" />
    </option>
    <tag value="!Slow &amp; !Slowish &amp; !Remote &amp; !Android" />
    <method v="2">
      <option name="Make" enabled="true" />
    </method>
  </configuration>

# (2) in the VERSION file, in which we will append "-dev" to it
ifeq ($(VERSION),)
VERSION_FROM_FILE := $(shell cat VERSION)
ifeq ($(VERSION_FROM_FILE),)
$(error VERSION not detected. Make sure it's stored in the VERSION file or defined in VERSION variable)
endif
VERSION := $(VERSION_FROM_FILE)-dev
endif

export VERSION

# Base version of Istio image to use
BASE_VERSION ?= master-2024-09-19T19-01-03

	v := BatchJobPrefix{}
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		v.MarshalMsg(nil)
	}
}

func BenchmarkAppendMsgBatchJobPrefix(b *testing.B) {
	v := BatchJobPrefix{}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		bts, _ = v.MarshalMsg(bts[0:0])
	}
}

import (
	"context"
	"fmt"
	"net/http"
	"net/url"
	"os"
	"sort"
	"testing"
)

// Tests for 'func TestResourceListSorting(t *testing.T)'.
func TestResourceListSorting(t *testing.T) {
	sortedResourceList := make([]string, len(resourceList))
	copy(sortedResourceList, resourceList)
	sort.Strings(sortedResourceList)
	for i := 0; i < len(resourceList); i++ {
		if resourceList[i] != sortedResourceList[i] {

	v := localLockMap{}
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		v.MarshalMsg(nil)
	}
}

func BenchmarkAppendMsglocalLockMap(b *testing.B) {
	v := localLockMap{}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		bts, _ = v.MarshalMsg(bts[0:0])
	}
}

   * loaded by this test and that will obviously remain loaded for as long as the test is running.
   * So in order to check ClassLoader garbage collection we need to create a new ClassLoader and
   * make it load its own version of FinalizableReferenceQueue. Then we need to interact with that
   * parallel version through reflection in order to exercise the parallel