[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

    else:
      test_and_build_filters.append('-gpu')
  elif is_macos():
    test_and_build_filters += ['-gpu', '-nomac', '-no_mac', '-mac_excluded']
  elif is_linux():
    if ((environ_cp.get('TF_NEED_CUDA', None) == '1') or
        (environ_cp.get('TF_NEED_ROCM', None) == '1')):
      test_and_build_filters.append('-no_gpu')
      write_to_bazelrc('test --test_env=LD_LIBRARY_PATH')
    else:

    @Override
    public List<Character> create(Character[] elements) {
      char[] chars = Chars.toArray(asList(elements));
      StringBuilder str = new StringBuilder();
      str.append(chars);
      return charactersOf(str);
    }
  }

  private abstract static class TestUnhashableListGenerator
      extends TestUnhashableCollectionGenerator<List<UnhashableObject>>

	// Set macros for GOEXPERIMENTs so we can easily switch
	// runtime assembly code based on them.
	if objabi.LookupPkgSpecial(ctxt.Pkgpath).AllowAsmABI {
		for _, exp := range buildcfg.Experiment.Enabled() {
			flags.D = append(flags.D, "GOEXPERIMENT_"+exp)
		}
	}

	var ok, diag bool
	var failedFile string
	for _, f := range flag.Args() {
		lexer := lex.NewLexer(f)
		parser := asm.NewParser(ctxt, architecture, lexer)

   *       implementation will effectively put the whole file in memory. On many systems with paging
   *       and virtual memory, this is not a problem - because it is mapped read-only, the kernel
   *       can always page it to disk "for free". However, on systems where killing processes
   *       happens all the time in normal conditions (i.e., android) the OS must make a tradeoff

      // The names are repetitive so re-use the same builder to avoid allocations.
      val fileBuilder = StringBuilder(key).append('.')
      val truncateTo = fileBuilder.length
      for (i in 0 until valueCount) {
        fileBuilder.append(i)
        cleanFiles += directory / fileBuilder.toString()
        fileBuilder.append(".tmp")
        dirtyFiles += directory / fileBuilder.toString()
        fileBuilder.setLength(truncateTo)
      }

	TaggingTimestamp = "tagging-timestamp"
	// ObjectLockRetentionTimestamp - the last time a object lock metadata modification happened on this cluster for this object version
	ObjectLockRetentionTimestamp = "objectlock-retention-timestamp"
	// ObjectLockLegalHoldTimestamp - the last time a legal hold metadata modification happened on this cluster for this object version

    // useful testable guarantees about the behavior of that dispatcher in a multithreaded
    // environment. Here we simply test that all the expected dispatches happened in some order.
    assertThat(dispatchedSubscribers).containsExactly(i1, i2, i3, s1, s1, s1, s1, s2, s2, s2, s2);
  }

  public void testImmediateDispatcher() {
    dispatcher = Dispatcher.immediate();

		frame, _ := frames.Next()
		if (!strings.HasPrefix(frame.File, gormSourceDir) ||
			strings.HasSuffix(frame.File, "_test.go")) && !strings.HasSuffix(frame.File, ".gen.go") {
			return string(strconv.AppendInt(append([]byte(frame.File), ':'), int64(frame.Line), 10))
		}
	}

	return ""
}

func IsValidDBNameChar(c rune) bool {

                <template>transformer.vm</template>
                <template>reader-stax.vm</template>
                <template>writer-stax.vm</template>
              </templates>
              <params combine.children="append">
                <param>locationTracking=true</param>
                <param>generateLocationClasses=true</param>
              </params>
            </configuration>
          </execution>
          <execution>