]]></configuration>
      <description>
        <![CDATA[
      If false, flags the system to skip prompting the user for any information, or holding up the build
      waiting for any input.

      NOTE: It's also possible to switch to batch (i.e. non-interactive) mode using the '-B' command-line option.
    ]]></description>
    </expression>
  </expressions>

	fmt.Printf("Received JSON payload:\n%s\n", out.String())

	reqMap := make(map[string]interface{})
	err = json.Unmarshal(body, &reqMap)
	if err != nil {
		writeErrorResponse(w, err)
		return
	}

	m := reqMap["input"].(map[string]interface{})
	accountValue := m["account"].(string)
	actionValue := m["action"].(string)

	// Allow user `minio` to perform any action.
	var res Result
	if accountValue == "minio" {
		res.Result = true

# Usage: Go to
# https://github.com/tensorflow/tensorflow/actions/workflows/release-branch-cherrypick.yml
# and click "Run Workflow." Leave "Use Workflow From" set to "master", then
# input the branch name and paste the cherry-pick commit and click Run. A PR
# will be created.

name: Release Branch Cherrypick
on:
  workflow_dispatch:
    inputs:

  virtual absl::Span<ImmediateExecutionTensorHandle* const> GetInputs()
      const = 0;
  virtual absl::Status SetInput(size_t index,
                                ImmediateExecutionTensorHandle* input) = 0;

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means

  private static class Control extends AbstractNonStreamingHashFunction {
    @Override
    public HashCode hashBytes(byte[] input, int off, int len) {
      return HashCode.fromBytes(Arrays.copyOfRange(input, off, off + len));
    }

    @Override
    public int bits() {
      throw new UnsupportedOperationException();
    }
  }

body:
  - type: markdown
    attributes:
      value: |
        Thanks for helping us improve! 🙏 Please answer these questions and provide as much information as possible about your problem.

  - type: input
    id: go-version
    attributes:
      label: Go version
      description: |
        What version of Go are you using (`go version`)?

    /**
     * @return session key of the underlying smb session
     * @throws CIFSException
     */
    byte[] getSessionKey () throws CIFSException;


    /**
     * 
     * @return this pipe's input stream
     * @throws SmbException
     */
    @Override
    SmbPipeInputStream getInput () throws CIFSException;


    /**
     * 
     * @return this pipe's output stream
     * @throws SmbException

                                            key="labels.elevate_word_file"/></th></label>
                                    <div class="col-sm-9">
                                        <input type="file" id="elevateWordFile" name="elevateWordFile" class="form-control-file"/>
                                    </div>
                                </div>
                            </c:if>

            releasedVersionsFile()
        )
    }

    return versionNumber
}

/**
 * Returns the trimmed contents of the file at the given [path] after
 * marking the file as a build logic input.
 */
fun Project.trimmedContentsOfFile(path: String): String =
    providers.fileContents(repoRoot().file(path)).asText.get().trim()

// TODO Simplify the buildTimestamp() calculation if possible

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

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

  // Build an abstract input tensor.
  TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(ctx, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  TFE_TensorHandle* t = TestScalarTensorHandle(eager_ctx, 2.0f);