



from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


UpperCAmelCase							=       logging.get_logger(__name__)

UpperCAmelCase							=       {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase							=       {
    """vocab_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/vocab.json"""},
    """merges_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/merges.txt"""},
    """tokenizer_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/tokenizer.json"""},
}

UpperCAmelCase							=       {
    """openai-gpt""": 512,
}

class 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__					:   Union[str, Any]       =       VOCAB_FILES_NAMES
							UpperCamelCase__					:   Optional[Any]       =       PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase__					:   Dict       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase__					:   Any       =       ["""input_ids""", """attention_mask"""]
							UpperCamelCase__					:   Optional[Any]       =       OpenAIGPTTokenizer


							def __init__(				self	,	a_=None	,	a_=None	,	a_=None	,	a_="<unk>"	,	**a_		):
											super().__init__(a_	,	a_	,	tokenizer_file=a_	,	unk_token=a_	,	**a_		)


							@property
							def _a   (				self		):
											return True







							def _a   (				self	,	a_	,	a_ = None		):
											a__					   =		self._tokenizer.model.save(a_	,	name=a_		)
											return tuple(a_		)






from __future__ import annotations

class 			__snake_case   :







							'''simple docstring'''






							def __init__(				self	,	a_ = 0		):
											a__					   =		value
											a__					   =		None
											a__					   =		None




def       A_   (						__a  :					Node | None			,		__a  :					Node | None		):

				"""simple docstring"""
				if treea is None:
								return treea
				if treea is None:
								return treea

				a__					   =		treea.value + treea.value
				a__					   =		merge_two_binary_trees(treea.left			,		treea.left		)
				a__					   =		merge_two_binary_trees(treea.right			,		treea.right		)
				return treea

def       A_   (						__a  :					Node | None		):

				"""simple docstring"""
				if root:
								print(root.value		)
								print_preorder(root.left		)
								print_preorder(root.right		)


if __name__ == "__main__":
	UpperCAmelCase							=       Node(1)
	UpperCAmelCase							=       Node(2)
	UpperCAmelCase							=       Node(3)
	UpperCAmelCase							=       Node(4)

	UpperCAmelCase							=       Node(2)
	UpperCAmelCase							=       Node(4)
	UpperCAmelCase							=       Node(6)
	UpperCAmelCase							=       Node(9)
	UpperCAmelCase							=       Node(5)

	print("""Tree1 is: """)
	print_preorder(treea)
	print("""Tree2 is: """)
	print_preorder(treea)
	UpperCAmelCase							=       merge_two_binary_trees(treea, treea)
	print("""Merged Tree is: """)
	print_preorder(merged_tree)

