}

  /** Returns a -1 if unable to parse */
  private static int tryParseDecimal(String string, int start, int end) {
    int decimal = 0;
    int max = Integer.MAX_VALUE / 10; // for int overflow detection
    for (int i = start; i < end; i++) {
      if (decimal > max) {
        return -1;
      }
      decimal *= 10;
      int digit = Character.digit(string.charAt(i), 10);
      if (digit < 0) {

		db: nativeDB,
		expect: []string{
			"SELECT VERSION()",
			"INSERT INTO `users` (`created_at`,`updated_at`,`deleted_at`,`name`,`age`,`birthday`,`company_id`,`manager_id`,`active`) VALUES (?,?,?,?,?,?,?,?,?)",
			"SELECT * FROM `users` WHERE name = ? AND `users`.`deleted_at` IS NULL ORDER BY `users`.`id` LIMIT ?",

        }
    }

    /**
     * Reads the contents of the file channel into a byte buffer.
     *
     * @param channel
     *            The file channel. Must not be {@literal null}.
     * @param buffer
     *            The byte buffer. Must not be {@literal null}.
     * @return The number of bytes read.
     */
    public static int read(final FileChannel channel, final ByteBuffer buffer) {

    assertEquals(expected, getResponse(methodName).getResult());
  }

  /**
   * Causes this thread to call the named method, and asserts that the call returns the expected int
   * value.
   */
  public void callAndAssertReturns(int expected, String methodName, Object... arguments)
      throws Exception {
    checkNotNull(methodName);
    checkNotNull(arguments);
    sendRequest(methodName, arguments);

    private fun parallelize(
        subProjectTestClassTimes: List<SubprojectTestClassTime>,
        testCoverage: TestCoverage,
        parallelization: (Int) -> ParallelizationMethod,
    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.

    const TF_Graph* fn_body, const char* fn_name,
    unsigned char append_hash_to_fn_name, int num_opers,
    const TF_Operation* const* opers, int ninputs, const TF_Output* inputs,
    int noutputs, const TF_Output* outputs, const char* const* output_names,
    int ncontrol_outputs, const TF_Operation* const* control_outputs,
    const char* const* control_output_names, const TF_FunctionOptions* opts,

}

// fetches a random number between range min-max.
func getRandomRange(minN, maxN int, seed int64) int {
	// special value -1 means no explicit seeding.
	if seed == -1 {
		return rand.New(rand.NewSource(time.Now().UnixNano())).Intn(maxN-minN) + minN
	}
	return rand.New(rand.NewSource(seed)).Intn(maxN-minN) + minN
}

// Randomizes the order of bytes in the byte array

		{
			[]clause.Interface{
				clause.Insert{},
				clause.Values{
					Columns: []clause.Column{{Name: "name"}, {Name: "age"}},
					Values:  [][]interface{}{{"jinzhu", 18}, {"josh", 1}},
				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {

    const TF_Graph* fn_body, const char* fn_name, int ninputs,
    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;

		Point: Point{X: 100, Y: 100},
	}).Statement

	if stmt.SQL.String() == "" || len(stmt.Vars) != 2 {
		t.Errorf("Failed to generate sql, got %v", stmt.SQL.String())
	}

	if !regexp.MustCompile(`INSERT INTO .user_with_points. \(.name.,.point.\) VALUES \(.+,ST_PointFromText\(.+\)\)`).MatchString(stmt.SQL.String()) {
		t.Errorf("insert with sql.Expr, but got %v", stmt.SQL.String())
	}