</modules>
	<build>
		<pluginManagement>
			<plugins>
				<plugin>
					<groupId>org.apache.maven.plugins</groupId>
					<artifactId>maven-shade-plugin</artifactId>
					<executions>
						<execution>
							<phase>package</phase>
							<goals>
								<goal>shade</goal>
							</goals>
							<configuration>
								<artifactSet>
									<includes>
										<include>org.dbflute:dbflute-runtime</include>

     *
     * The file will be included in the shaded jar under {@code /org/gradle/build-receipt.properties}.
     */
    @get:PathSensitive(PathSensitivity.NONE)
    @get:InputFiles
    abstract val buildReceiptFile: ConfigurableFileCollection

    /**
     * The output Jar file.
     */
    @get:OutputFile
    abstract val jarFile: RegularFileProperty

    @TaskAction
    fun shade() {
        val entryPoints = readEntryPoints()

	// the buffer if the stack has been shaded, or even avoid
	// putting them in the buffer at all (which would double its
	// capacity). This is slightly complicated with the buffer; we
	// could track whether any un-shaded goroutine has used the
	// buffer, or just track globally whether there are any
	// un-shaded stacks and flush after each stack scan.
	gcw := &pp.gcw
	pos := 0

// license that can be found in the LICENSE file.

package sha3

// This file defines the ShakeHash interface, and provides
// functions for creating SHAKE and cSHAKE instances, as well as utility
// functions for hashing bytes to arbitrary-length output.
//
//
// SHAKE implementation is based on FIPS PUB 202 [1]
// cSHAKE implementations is based on NIST SP 800-185 [2]
//
// [1] https://nvlpubs.nist.gov/nistpubs/FIPS/NIST.FIPS.202.pdf

// Copy the internal data representation of `from` to `to`. `new_dims` and
// `num_new_dims` specify the new shape of the `to` tensor, `type` specifies its
// data type. On success, *status is set to TF_OK and the two tensors share the
// same data buffer.
//
// This call requires that the `from` tensor and the given type and shape (dims
// and num_dims) are "compatible" (i.e. they occupy the same number of bytes).

// Copyright 2024 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package p

// This type and the following one will share the same GC shape and size.
type Pointery struct {
	p *Pointery
	x [1024]int
}

type Pointery2 struct {
	p *Pointery2
	x [1024]int
}

// This type and the following one will have the same size.
type Vanilla struct {

                       absl::Span<AbstractTensorHandle*> outputs) {
  PartialTensorShape shape;
  TF_RETURN_IF_ERROR(inputs[0]->Shape(&shape));
  if (shape.dims() != 0) {
    return errors::InvalidArgument(
        "Tensor expected to have scalar shape found rank: ", shape.dims());
  }
  return absl::OkStatus();
}

TEST_P(UnifiedAPI, TestTensorShapeScalar) {
  if (UseFunction() && UseMlir()) {

    TF_RETURN_IF_ERROR(session->Create(graph));
    RunOptions run_options;
    Tensor input_a = CreateInputTensor(shape, 0);
    Tensor input_b = CreateInputTensor(shape, shape.num_elements());
    Tensor input_c = CreateInputTensor(shape, 2 * shape.num_elements());
    TF_RETURN_IF_ERROR(session->Run(
        run_options,
        {std::make_pair("a", input_a), std::make_pair("b", input_b),

  auto c_api_client = down_cast<xla::PjRtCApiClient*>(pjrt_client->get());
  std::vector<int32_t> data(1, 0);
  xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1});

  auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer(
      data.data(), shape.element_type(), shape.dimensions(),
      /*byte_strides=*/std::nullopt,
      xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr,

  if (input_type_size < output_type_size) {
    TF_ShapeInferenceContextWithRankAtLeast(ctx, shape, 1, shape, status);

    if (TF_GetCode(status) == TF_OK) {
      TF_DimensionHandle* last_dim = TF_NewDimensionHandle();
      size_t divisor_val = output_type_size / input_type_size;
      TF_ShapeInferenceContextDim(ctx, shape, -1, last_dim);
      if (!TF_DimensionHandleValueKnown(last_dim) ||