assertEquals(10, ticker.read());
    assertEquals(20, ticker.read());

    for (TimeUnit timeUnit : TimeUnit.values()) {
      ticker.setAutoIncrementStep(0, timeUnit);
      assertEquals(
          "Expected no auto-increment when setting autoIncrementStep to 0 " + timeUnit,
          30,
          ticker.read());
    }
  }

  public void testAutoIncrement_negative() {
    FakeTicker ticker = new FakeTicker();

  ASSERT_NE(handle, nullptr)
      << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",")
      << "], strides=[" << absl::StrJoin(strides, ",") << "])";

  auto* dlm_out =
      static_cast<DLManagedTensor*>(TFE_HandleToDLPack(handle, status));
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  const DLTensor* dltensor_out = &dlm_out->dl_tensor;

TF_CAPI_EXPORT unsigned char TF_SetTfXlaCpuGlobalJit(unsigned char enable);

// Sets XLA's auto jit mode according to the specified string, which is parsed
// as if passed in XLA_FLAGS. This has global effect.
TF_CAPI_EXPORT void TF_SetXlaAutoJitMode(const char* mode);

// Returns whether the single GPU or general XLA auto jit optimizations are
// enabled through MarkForCompilationPassFlags.

  const char remote_device_name[] =
      "/job:localhost/replica:0/task:1/device:CPU:0";
  auto* h0_task1 =
      TFE_TensorHandleCopyToDevice(h0_task0, ctx, remote_device_name, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  auto* h1_task1 =
      TFE_TensorHandleCopyToDevice(h1_task0, ctx, remote_device_name, status);

!0,writable:!0}):e[t]=o,e},le=Object.assign||function(e){for(var t,o=1;o<arguments.length;o++)for(var n in t=arguments[o],t)Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e},fe=te&&/Firefox/i.test(navigator.userAgent),me=['auto-start','auto','auto-end','top-start','top','top-end','right-start','right','right-end','bottom-end','bottom','bottom-start','left-end','left','left-start'],he=me.slice(3),ce={FLIP:'flip',CLOCKWISE:'clockwise',COUNTERCLOCKWISE:'counterclockwise'},ge=function(){function...

function verify_rewrite() {
	start_port=$1

	export MINIO_ACCESS_KEY=minio
	export MINIO_SECRET_KEY=minio123
	export MC_HOST_minio="http://minio:minio123@127.0.0.1:${start_port}/"
	unset MINIO_KMS_AUTO_ENCRYPTION # do not auto-encrypt objects
	export MINIO_CI_CD=1

	MC_BUILD_DIR="mc-$RANDOM"
	if ! git clone --quiet https://github.com/minio/mc "$MC_BUILD_DIR"; then
		echo "failed to download https://github.com/minio/mc"
		purge "${MC_BUILD_DIR}"

id and a provisioned bundle id to use. They're specified with the environment variables
GOIOS_DEV_ID, GOIOS_TEAM_ID and GOIOS_APP_ID. The detect.go program in this directory will
attempt to auto-detect suitable values. Run it as

	go run detect.go

which will output something similar to

	export GOIOS_DEV_ID="iPhone Developer: ******@****.*** (XXXXXXXX)"
	export GOIOS_APP_ID=YYYYYYYY.some.bundle.id

- **`CurlException`**: Unchecked RuntimeException for HTTP errors.

### I/O Layer

- **`ContentCache`**: In-memory or file-based caching. Implements `Closeable` and auto-deletes file cache on close.

- **`ContentOutputStream`**: Extends `DeferredFileOutputStream`. Writes to memory until threshold (default 1MB) exceeded, then spills to temp file.

## Technical Details

								<c:if test="${displayLabelTypeItems}">
								<div class="dropdown">
									<button type="button" class="filter-group-toggle btn btn-outline-secondary btn-sm dropdown-toggle" data-bs-toggle="dropdown" data-bs-auto-close="outside" aria-expanded="false">
										<i class="fa fa-tag me-1" aria-hidden="true"></i><la:message key="labels.facet_label_title" />
										<span class="filter-group-badge badge rounded-pill bg-primary d-none">0</span>

    ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

    auto cpu_arg =
        tensorflow::TensorHandleFromInterface(tensorflow::unwrap(hcpu));
    auto gpu_arg =
        tensorflow::TensorHandleFromInterface(tensorflow::unwrap(hgpu));
    auto gpu_device = gpu_arg->device();
    ASSERT_FALSE(cpu_arg->HasLocalMirror(gpu_device));