void rejectsAnyNameReturnsFalse(String input) throws Exception {
        SmbFilenameFilter filter = (dir, name) -> false;

        boolean result = filter.accept(mockDir, input);

        assertFalse(result, "Filter should reject any provided name");
        verifyNoInteractions(mockDir);
    }

    /**
     * Edge: name-based filter behavior for diverse inputs.
     */
    @ParameterizedTest

        // Same object
        assertTrue(item1.equals(item1));

        // Same input, different id
        assertTrue(item1.equals(item2));

        // Different input
        assertFalse(item1.equals(item3));

        // Same id and input
        assertTrue(item1.equals(item4));

        // Null object
        assertFalse(item1.equals(null));

jobs:
  cherrypick:
    name: Cherrypick to ${{ github.event.inputs.release_branch}} - ${{ github.event.inputs.git_commit }}
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
      with:
        ref: ${{ github.event.inputs.release_branch }}

	}
	// iterate through the above set of inputs and upload the object.
	for i, input := range putObjectInputs {
		// uploading the object.
		_, err := obj.PutObject(context.Background(), input.bucketName, input.objectName, mustGetPutObjReader(t, bytes.NewReader(input.textData), input.contentLength, input.metaData[""], ""), ObjectOptions{UserDefined: input.metaData})
		// if object upload fails stop the test.
		if err != nil {

                && Objects.equals(inputs, that.inputs);
    }

    @Override
    public int hashCode() {
        return Objects.hash(modelId, location, inputs);
    }

    Stream<InputSource> sources() {
        return inputs != null ? inputs.stream() : Stream.of(this);
    }

    @Override
    public String toString() {
        if (inputs != null) {

    const TF_Output* inputs, std::vector<OutputTensor>* input_tensors,
    std::unordered_map<const Node*, std::vector<int>>* input_nodes)
    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  input_tensors->reserve(ninputs);
  for (int i = 0; i < ninputs; ++i) {
    Node* node = inputs[i].oper ? &inputs[i].oper->node : nullptr;
    int idx = inputs[i].index;

    TF_RETURN_WITH_CONTEXT_IF_ERROR(

	testCases := []struct {
		args       []string
		totalSizes []uint64
		indexes    [][]uint64
		success    bool
	}{
		// Invalid inputs.
		{
			[]string{"data{1...17}/export{1...52}"},
			[]uint64{14144},
			nil,
			false,
		},
		// Valid inputs.
		{
			[]string{"data{1...3}"},
			[]uint64{3},
			[][]uint64{{3}},
			true,
		},
		{

    private final String input;

    /** The new stopword, if updated. */
    private String newInput;

    /**
     * Constructs a new stopword item.
     *
     * @param id    The unique identifier of the item.
     * @param input The stopword.
     */
    public StopwordsItem(final long id, final String input) {
        this.id = id;
        this.input = input;

        if (id == 0) {

  }

  private static void assertSip(String input, long expected) {
    assertEquals(expected, SIP_WITH_KEY.hashString(input, UTF_8).asLong());
    assertEquals(expected, SIP_WITH_KEY.newHasher().putString(input, UTF_8).hash().asLong());
    assertEquals(expected, SIP_WITHOUT_KEY.hashString(input, UTF_8).asLong());
    assertEquals(expected, SIP_WITHOUT_KEY.newHasher().putString(input, UTF_8).hash().asLong());
  }

                                             const char* prefix2 = nullptr) {
    TF_Output inputs[2];
    TF_Output outputs[1];
    TF_Output grad_outputs[2];

    BuildSuccessGraph(inputs, outputs);

    AddGradients(false, prefix1, inputs, 2, outputs, 1, grad_outputs);
    if (prefix2 != nullptr) {
      AddGradients(false, prefix2, inputs, 2, outputs, 1, grad_outputs);
    }
  }

  TF_Status* s_;