#endif  // GTEST_HAS_PARAM_TEST

  // Gets the number of successful test cases.
  int successful_test_case_count() const;

  // Gets the number of failed test cases.
  int failed_test_case_count() const;

  // Gets the number of all test cases.
  int total_test_case_count() const;

  // Gets the number of all test cases that contain at least one test
  // that should run.

	// gcmarkBits will be 8-byte aligned, so we don't have to
	// worry about edge cases, irrelevant bits will simply be zero.
	for i := uintptr(0); i < bytes; i += 8 {
		// Extract 64 bits from the byte pointer and get a OnesCount.
		// Note that the unsafe cast here doesn't preserve endianness,
		// but that's OK. We only care about how many bits are 1, not

    // Gets function corresponding branch # `index`.
    // Prefer passing in SymbolTableCollection to reduce lookup costs by
    // enabling reusing cached symbol table lookup.
    func::FuncOp ResolveBranchFunction(::mlir::SymbolTableCollection* table, int index) {
      auto flat_sym_ref = getBranches()[index].cast<FlatSymbolRefAttr>();
      if (table)
        return table->lookupNearestSymbolFrom<func::FuncOp>(*this, flat_sym_ref);

				}
			}
			// Since there are cases for which ListObjects fails, this is
			// necessary. Test passes as expected, but the output values
			// are verified for correctness here.
			if err == nil && testCase.shouldPass {
				// The length of the expected ListObjectsResult.Objects
				// should match in both expected result from test cases
				// and in the output. On failure calling t.Fatalf,

	// physical page, based on maxPhysPageSize.
	maxPagesPerPhysPage = maxPhysPageSize / pageSize

	// scavengeCostRatio is the approximate ratio between the costs of using previously
	// scavenged memory and scavenging memory.
	//
	// For most systems the cost of scavenging greatly outweighs the costs
	// associated with using scavenged memory, making this constant 0. On other systems

				t0.Format(RFC3339Nano), d, rnd, t1.Format(RFC3339Nano),
				absString(t0), int64(d), absString(rnd), absString(t1))
			return false
		}
		return true
	}

	// manual test cases
	for _, tt := range truncateRoundTests {
		testOne(tt.t.Unix(), int64(tt.t.Nanosecond()), int64(tt.d))
	}

	// exhaustive near 0
	for i := 0; i < 100; i++ {
		for j := 1; j < 100; j++ {

		Code:           "CastFailed",
		Description:    "Attempt to convert from one data type to another using CAST failed in the SQL expression.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidCast: {
		Code:           "InvalidCast",
		Description:    "Attempt to convert from one data type to another using CAST failed in the SQL expression.",
		HTTPStatusCode: http.StatusBadRequest,
	},

   *     fetchCounterFuture, FetchException.class, x -> 0, directExecutor());
   * }</pre>
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See
   * the warnings the {@link MoreExecutors#directExecutor} documentation.
   *
   * @param input the primary input {@code Future}

/// that plugins provide (some are mandatory, some are optional, with or without
/// a default implementation).
///
/// Each plugin implements the operations that are supported and TensorFlow will
/// properly handle the cases when an operation is not supported (i.e., return
/// the corresponding `Status` value).
///
/// REQUIRED OPERATIONS: All required operations are marked as such, including

  // CHECK-LABEL: add_v2_uint32
  // CHECK:  %[[CAST:.*]] = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>
  // CHECK:  %[[CAST1:.*]] = "tf.Cast"(%arg1) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>
  // CHECK:  %[[ADD:.*]] = "tf.AddV2"(%[[CAST]], %[[CAST1]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
  // CHECK:  %[[CAST2:.*]] = "tf.Cast"(%[[ADD]]) <{Truncate = false}> : (tensor<i32>) -> tensor<ui32>