for range 100 {
		for range dynamicTimeoutLogSize {
			timeout.LogSuccess(successTimeout)
		}
	}

	adjusted := timeout.Timeout()
	// Check whether eventual timeout is between initial value and success timeout
	if initial <= adjusted || adjusted <= successTimeout {
		t.Errorf("Failure to decrease timeout appropriately")
	}
}

func TestDynamicTimeoutConcurrent(t *testing.T) {
	// Race test.

        .withArguments(*args)


    protected
    fun assertChangesProperlyOrdered() {
        val result = run(":verifyAcceptedApiChangesOrdering").build()
        Assertions.assertEquals(TaskOutcome.SUCCESS, result.task(":verifyAcceptedApiChangesOrdering")!!.outcome)
    }

    protected
    fun assertHasMisorderedChanges(changes: List<Change>? = null) {
        val standardError = StringWriter()

		if res.ChecksumType != "" {
			w.Header().Set(xhttp.AmzChecksumType, res.ChecksumType)
		}
	}
	encodedSuccessResponse := encodeResponse(response)

	// Write success response.
	writeSuccessResponseXML(w, encodedSuccessResponse)
}

// CopyObjectPartHandler - uploads a part by copying data from an existing object as data source.

     * Atomic counter for tracking active crawler threads without lock contention.
     */
    protected final AtomicInteger activeThreadCount = new AtomicInteger(0);

    /**
     * Atomic counter for tracking the number of accesses made.
     */
    protected AtomicLong accessCount = new AtomicLong(0);

    /**
     * Current status of the crawler.
     */
    protected volatile CrawlerStatus status = CrawlerStatus.INITIALIZING;

}

TF_Function* TF_FunctionImportFunctionDef(const void* proto, size_t proto_len,
                                          TF_Status* status) {
  tensorflow::FunctionDef fdef;
  bool success = fdef.ParseFromArray(proto, proto_len);
  if (!success) {
    status->status = InvalidArgument(
        "Invalid FunctionDef given to TF_FunctionImportFunctionDef");
    return nullptr;
  }

  TF_Function* func = new TF_Function();

                        context.success("Full inference optimizations applied");
                    } else {
                        context.success("Limited inference optimizations applied (parent-related only)");
                    }
                } else {
                    context.success("No inference optimizations needed");
                }
            } catch (Exception e) {

          "sha256" -> {
            if (sha256 == null) sha256 = peerCertificate.sha256Hash()
            if (pin.hash == sha256) return // Success!
          }

          "sha1" -> {
            if (sha1 == null) sha1 = peerCertificate.sha1Hash()
            if (pin.hash == sha1) return // Success!
          }

          else -> {
            throw AssertionError("unsupported hashAlgorithm: ${pin.hashAlgorithm}")
          }

            context.info(pomPath + " (current: " + currentVersion + ")");
            context.indent();

            try {
                if (currentVersion.equals(targetModelVersion)) {
                    context.success("Already at target version " + targetModelVersion);
                } else if (ModelVersionUtils.canUpgrade(currentVersion, targetModelVersion)) {

	# Wait for Status: in MinIO output
	while true; do
		rv=$(check_online)
		if [ "$rv" != "1" ]; then
			# success
			break
		fi

		# Check if we should retry
		retry=$((retry + 1))
		if [ $retry -le 20 ]; then
			sleep 5
			continue
		fi

		# Failure
		fail
	done

        doAnswer(invocation -> {
            MsrpcSamrCloseHandle rpc = invocation.getArgument(0);
            rpc.retval = 0; // Simulate success
            return null;
        }).when(mockHandle).sendrecv(closeCaptor.capture());

        SamrPolicyHandle handle = new SamrPolicyHandle(mockHandle, server, access);
        handle.close();