
def     UpperCamelCase      (					__lowerCamelCase  :				Any       ,      __lowerCamelCase  :				List[Any]					):







       if not root or root not in binary_tree_mirror_dictionary:
              return
       snake_case       ,      snake_case :     Optional[int]           =   binary_tree_mirror_dictionary[root][:2]
       snake_case :     str           =   [right_child, left_child]
       binary_tree_mirror_dict(__lowerCamelCase       ,      __lowerCamelCase					)
       binary_tree_mirror_dict(__lowerCamelCase       ,      __lowerCamelCase					)


def     UpperCamelCase      (					__lowerCamelCase  :				int       ,      __lowerCamelCase  :				List[str] = 1					):







       if not binary_tree:
              raise ValueError("binary tree cannot be empty"					)
       if root not in binary_tree:
              snake_case :     Any           =   f"""root {root} is not present in the binary_tree"""
              raise ValueError(__lowerCamelCase					)
       snake_case :     str           =   dict(__lowerCamelCase					)
       binary_tree_mirror_dict(__lowerCamelCase       ,      __lowerCamelCase					)
       return binary_tree_mirror_dictionary


if __name__ == "__main__":
       __lowerCamelCase							= {1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
       print(F'Binary tree: {binary_tree}')
       __lowerCamelCase							= binary_tree_mirror(binary_tree, 5)
       print(F'Binary tree mirror: {binary_tree_mirror_dictionary}')







from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest






@custom_tokenizers
class 						UpperCAmelCase	(		A_				):



   def        _SCREAMING_SNAKE_CASE     (self	:      List[str]					,		snake_case__	:      Dict					,		snake_case__	:      Tuple					,		snake_case__	:      Union[str, Any]					,		snake_case__	:      List[str]					,		snake_case__	:      List[Any]				)	->			Any:


          '''simple docstring'''


          return True



   def        _SCREAMING_SNAKE_CASE     (self	:      str				)	->			Dict:


          '''simple docstring'''


          snake_case :     Union[str, Any]           =   CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate"				)
          snake_case :     str           =   "Hugging Face大法好，谁用谁知道。"
          snake_case :     Optional[Any]           =   "Hugging Face大法好,谁用谁知道。<unk>"
          snake_case :     int           =   "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

          snake_case :     Union[str, Any]           =   tokenizer.tokenize(snake_case__				)
          self.assertListEqual(snake_case__					,		snake_case__				)

          snake_case :     Tuple           =   tokens + [tokenizer.unk_token]

          snake_case :     int           =   [1_37_89, 1_32_83, 14_21, 8, 10, 11_64, 1_36_08, 1_65_28, 63, 8, 9, 4_40, 1_08, 4_40, 1_21, 90, 8, 12, 0]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__				)					,		snake_case__				)

          snake_case :     Dict           =   tokenizer.decode(snake_case__				)
          self.assertEqual(snake_case__					,		snake_case__				)





