credentials auth.Credentials, t *testing.T,
) {
	// Collection of non-exhaustive ListMultipartUploads test cases, valid errors
	// and success responses.
	testCases := []struct {
		// Inputs to ListMultipartUploads.
		bucket             string
		prefix             string
		keyMarker          string
		uploadIDMarker     string
		delimiter          string
		maxUploads         string

		pc, file, lineNumber, ok = runtime.Caller(traceLevel)
	}
	return trace
}

// HashString - return the highway hash of the passed string
func HashString(input string) string {
	hh, _ := highwayhash.New(magicHighwayHash256Key)
	hh.Write([]byte(input))
	return hex.EncodeToString(hh.Sum(nil))
}

// LogAlwaysIf prints a detailed error message during
// the execution of the server.

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will

        returnedInputs[0] = "modified";

        // Get again and verify not modified
        String[] inputs2 = item.getInputs();
        assertEquals("a", inputs2[0]);
        assertEquals("b", inputs2[1]);
        assertEquals("c", inputs2[2]);
    }

    @Test
    public void test_defensiveCopy_outputs() {
        // Test that getOutputs() returns defensive copy

flex;\n}\n\n.input-group-prepend .btn,\n.input-group-append .btn {\n  position: relative;\n  z-index: 2;\n}\n\n.input-group-prepend .btn:focus,\n.input-group-append .btn:focus {\n  z-index: 3;\n}\n\n.input-group-prepend .btn + .btn,\n.input-group-prepend .btn + .input-group-text,\n.input-group-prepend .input-group-text + .input-group-text,\n.input-group-prepend .input-group-text + .btn,\n.input-group-append .btn + .btn,\n.input-group-append .btn + .input-group-text,\n.input-group-append .input-group-text...

                   const char* raw_device_name, ForwardOperation*);

// Records the inputs in the `ForwardOperation`.
absl::Status AddInput(AbstractOperation*, AbstractTensorHandle*,
                      ForwardOperation*);
absl::Status AddInputList(AbstractOperation*,
                          absl::Span<AbstractTensorHandle* const> inputs,
                          ForwardOperation*);

// Sets the attrs in the `ForwardOperation`.

        verify(cache, never()).resolveSids0(any(), any(), any());
    }

    @Test
    @DisplayName("resolveSids(CIFSContext,server,sids,offset,length) throws on invalid inputs")
    void resolveSids_invalidInputs() throws Exception {
        SIDCacheImpl cache = new SIDCacheImpl(mock(CIFSContext.class));
        CIFSContext ctx = mock(CIFSContext.class);

        // Null sids array -> NPE

    protected A doBackward(B b) {
      return convert(bimap.inverse(), b);
    }

    private static <X, Y> Y convert(BiMap<X, Y> bimap, X input) {
      Y output = bimap.get(input);
      checkArgument(output != null, "No non-null mapping present for input: %s", input);
      return output;
    }

    @Override
    public boolean equals(@Nullable Object object) {

    protected A doBackward(B b) {
      return convert(bimap.inverse(), b);
    }

    private static <X, Y> Y convert(BiMap<X, Y> bimap, X input) {
      Y output = bimap.get(input);
      checkArgument(output != null, "No non-null mapping present for input: %s", input);
      return output;
    }

    @Override
    public boolean equals(@Nullable Object object) {

// cloneMSS will clone a map[string]string.
// If input is nil an empty map is returned, not nil.
func cloneMSS(v map[string]string) map[string]string {
	r := make(map[string]string, len(v))
	maps.Copy(r, v)
	return r
}

// URI scheme constants.
const (
	httpScheme  = "http"
	httpsScheme = "https"
)

// nopCharsetConverter is a dummy charset convert which just copies input to output,