// the output, so the input must be at least 32 bits, since the output has to be that long
    assertPutString(new char[] {'p', HashTestUtils.randomLowSurrogate(new Random())});
  }

  public void testPutStringWithHighSurrogate() {
    // we pad because the dummy hash function we use to test this, merely copies the input into

   * (key) bits 'affects' a strictly smaller set of output bits. Funneling is bad because it can
   * result in more-than-ideal collisions for a non-uniformly distributed key space. In practice,
   * most key spaces are ANYTHING BUT uniformly distributed. A bit(i) in the input is said to
   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output
   * bit(j) about half the time
   *

  }
  return attr;
}

TensorId ToTensorId(const TF_Output& output) {
  return TensorId(output.oper->node.name(), output.index);
}

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
std::vector<tensorflow::Output> OutputsFromTFOutputs(TF_Output* tf_outputs,
                                                     int n) {
  std::vector<tensorflow::Output> outputs(n);
  for (int i = 0; i < n; ++i) {
    outputs[i] =

```

### Options

Opt | Description
--- | ---
-d \<n\> | emit values at depth n. if n < 0, all values will be emitted
-kv | output inner key value pairs as newly formed objects
-v | output depth and offset details for each value
-h | display help dialog

## Benchmarks

                    }
                    continue;
                }

                inputs = m.group(1).trim().split(",");
                output = m.group(2).trim();

                if (inputs == null || output == null || inputs.length == 0) {
                    logger.warn("Failed to parse {} in {}", line, path);
                    if (updater != null) {

  }

  /**
   * Computes intermediate hash of 32 bytes of byte array from the given offset. Results are
   * returned in the output array - this is 12% faster than allocating new arrays every time.
   */
  private static void weakHashLength32WithSeeds(
      byte[] bytes, int offset, long seedA, long seedB, long[] output) {
    long part1 = load64(bytes, offset);
    long part2 = load64(bytes, offset + 8);
    long part3 = load64(bytes, offset + 16);

	}
}

func TestExcludeFolders(t *testing.T) {
	v := Versioning{
		Status:         Enabled,
		ExcludeFolders: true,
	}
	testPrefixes := []string{"jobs/output/_temporary/", "jobs/output/", "jobs/"}
	for i, prefix := range testPrefixes {
		if v.PrefixEnabled(prefix) || !v.PrefixSuspended(prefix) {
			t.Fatalf("Test %d: Expected versioning to be excluded for %s", i+1, prefix)
		}
	}

}

// Specification for an expected edge.
// src is either:
// - input name (as it appears in FunctionDef)
// - name of output tensor (in nested "add:z:0" format)
// dst is either:
// - output name (as it appears in FunctionDef)
// - <name_of_node>:<index_of_this_input_into_node> (this looks the same as
//      output tensor naming, but it the index is actually an input index)
struct EdgeSpec : public std::pair<string, string> {

	return bytes.TrimSpace(out), nil
}

func getLines(cmd *exec.Cmd) [][]byte {
	out := output(cmd)
	lines := bytes.Split(out, []byte("\n"))
	// Skip the empty line at the end.
	if len(lines[len(lines)-1]) == 0 {
		lines = lines[:len(lines)-1]
	}
	return lines
}

func output(cmd *exec.Cmd) []byte {
	out, err := cmd.Output()
	if err != nil {
		fmt.Println(strings.Join(cmd.Args, "\n"))

        final String keyProp = NAME_PREFIX + id;
        requestBody.put(KEY_PROPERTY, keyProp);
        requestBody.put("output", "output");
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();
        updateMap.put("output", "new_output");
        return updateMap;
    }

    @Test
    void crudTest() {
        testCreate();