boolean getHasArgument(); public abstract CommandLineParser$ParserState onComplete(); } org/gradle/cli/CommandLineParser$OptionString.class package org.gradle.cli; public final synchronized class CommandLineParser$OptionString { public final String arg; public final String option; public void CommandLineParser$OptionString(String, String); public final String toString(); } org/gradle/cli/CommandLineParser$ParserState.class package org.gradle.cli; public abstract synchronized class CommandLineParser$ParserState...

				if (offset % 8 !== 0) {
					offset += 8 - (offset % 8);
				}
				return ptr;
			};

			const argc = this.argv.length;

			const argvPtrs = [];
			this.argv.forEach((arg) => {
				argvPtrs.push(strPtr(arg));
			});
			argvPtrs.push(0);

			const keys = Object.keys(this.env).sort();
			keys.forEach((key) => {
				argvPtrs.push(strPtr(`${key}=${this.env[key]}`));
			});
			argvPtrs.push(0);

   * contains any match for the given regular expression pattern. The test used is equivalent to
   * {@code Pattern.compile(pattern).matcher(arg).find()}
   *
   * @throws IllegalArgumentException if the pattern is invalid
   * @since 3.0
   */
  @GwtIncompatible // Only used by other GWT-incompatible code.

   * contains any match for the given regular expression pattern. The test used is equivalent to
   * {@code Pattern.compile(pattern).matcher(arg).find()}
   *
   * @throws IllegalArgumentException if the pattern is invalid
   * @since 3.0
   */
  @GwtIncompatible // Only used by other GWT-incompatible code.

```Python hl_lines="7"
{!../../../docs_src/path_params_numeric_validations/tutorial003.py!}
```

    void (*deallocator)(void* data, size_t len, void* arg),
    void* deallocator_arg, TF_Status* status) {
  tensorflow::Device* device = nullptr;
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  status->status = context->FindDeviceFromName(device_name, &device);
  if (!status->status.ok()) {
    deallocator(data, len, deallocator_arg);
    status->status =

<code>8(FP)</code> is the second (on a 64-bit machine), and so on.
However, when referring to a function argument this way, it is necessary to place a name
at the beginning, as in <code>first_arg+0(FP)</code> and <code>second_arg+8(FP)</code>.
(The meaning of the offset—offset from the frame pointer—distinct
from its use with <code>SB</code>, where it is an offset from the symbol.)

        TF_NewTensor(
            datatype_enum, /*dims=*/nullptr, /*num_dims=*/0,
            device_value.release(), sizeof(DataType),
            [](void* data, size_t, void* arg) {
              delete reinterpret_cast<DataType*>(data);
            },
            nullptr),
        TF_DeleteTensor);
    // TODO(allenl): Here and when executing regular operations, we could hold

  GeneralAssignment("AssignVariableOp", context, value, status);
}

// Passed to `TF_NewTensor` to indicate how an array of floats should be
// deleted.
static void FloatDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<float*>(data);
}

// Creates a TFE_TensorHandle with value `v`.
TensorHandlePtr FloatTensorHandle(float v, TF_Status* status) {
  const int num_bytes = sizeof(float);

docker-hotfix: hotfix-push checks ## builds minio docker container with hotfix tags
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) --build-arg RELEASE=$(VERSION) . -f Dockerfile.hotfix

docker: build ## builds minio docker container
	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) . -f Dockerfile