List<Integer> list2 = newArrayList(4);

    List<List<Integer>> input = newArrayList(list1, list2);

    Iterable<Integer> result = Iterables.concat(input);
    assertEquals(asList(1, 4), newArrayList(result));

    // Now change the inputs and see result dynamically change as well

    list1.add(2);
    List<Integer> list3 = newArrayList(3);
    input.add(1, list3);

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 + .input-group-text,\n.input-group-append .input-group-text + .btn {\n  margin-left:...

    public boolean lookingAt(Pattern pattern) {
        Matcher m = pattern.matcher(input);
        m.region(pos, input.length());
        return m.lookingAt();
    }

    public String region() {
        return input.substring(markPos, pos);
    }

    /**
     * Moves the position to the next instance of the given character, or the end of the input if not found.
     */
    public void find(char c) {
        int cpos = pos;

        {
            "detail": [
                {
                    "type": "bool_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid boolean, unable to interpret input",
                    "input": "foobar",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

}

TensorHandlePtr CollectiveSum(TFE_Context* context, TFE_TensorHandle* input,
                              int group_size, TF_Status* status) {
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op(
      TFE_NewOp(context, "CollectiveReduce", status), TFE_DeleteOp);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  const char* device = TFE_TensorHandleDeviceName(input, status);
  if (TF_GetCode(status) != TF_OK) return nullptr;

		}
	}

	// test cases with inputs and expected result for GetBucketPolicyHandler.
	testCases := []struct {
		bucketName string
		accessKey  string
		secretKey  string
		// expected output.
		expectedBucketPolicy string
		expectedRespStatus   int
	}{
		// Test case - 1.
		// Case which valid inputs, expected to return success status of 200OK.
		{

    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(@CheckForNull 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(@CheckForNull Object object) {

	testCase := []struct {
		name   string
		input  map[string]interface{}
		expect clause.Values
	}{
		{
			name: "Test convert string value",
			input: map[string]interface{}{
				"name": "my name",
			},
			expect: clause.Values{
				Columns: []clause.Column{{Name: "name"}},
				Values:  [][]interface{}{{"my name"}},
			},
		},
		{
			name: "Test convert int value",
			input: map[string]interface{}{
				"age": 18,

    std::vector<TFE_TensorHandle*> device_inputs;
    device_inputs.reserve(inputs.size());
    for (int input_index = 0; input_index < inputs.size(); ++input_index) {
      // Parallel tensors are divided between operations by device.
      device_inputs.push_back(inputs[input_index]->tensor(device_index));
    }
    device_thread->StartExecute(