```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo",
      "url": "https://errors.pydantic.dev/2.1/v/int_parsing"
    }
  ]
}
```

Der Pfad-Parameter `item_id` hatte den Wert `"foo"`, was kein `int` ist.

            Sets.filter(
                Sets.powerSet(sampleSet),
                new Predicate<Set<Integer>>() {

                  @Override
                  public boolean apply(Set<Integer> input) {
                    return input.size() == size;
                  }
                });
        assertWithMessage("Sets.combinations(%s, %s)", sampleSet, k)
            .that(Sets.combinations(sampleSet, k))

    ]]></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

  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);