



'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_UpperCamelCase									=      logging.get_logger(__name__)


_UpperCamelCase									=      {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
_UpperCamelCase									=      {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

_UpperCamelCase									=      {
    '''RUCAIBox/mvp''': 1024,
}


@lru_cache()
def 	lowercase_						( ):

			"""simple docstring"""





			__UpperCAmelCase :   List[Any]    					=  (
			    list(range(ord("""!"""			)      ,				ord("""~"""			) + 1			)			) + list(range(ord("""¡"""			)      ,				ord("""¬"""			) + 1			)			) + list(range(ord("""®"""			)      ,				ord("""ÿ"""			) + 1			)			)
			)
			__UpperCAmelCase :   Optional[int]    					=  bs[:]
			__UpperCAmelCase :   List[Any]    					=  0
			for b in range(2**8			):
						if b not in bs:
									bs.append(a_			)
									cs.append(2**8 + n			)
									n += 1
			__UpperCAmelCase :   Union[str, Any]    					=  [chr(a_			) for n in cs]
			return dict(zip(a_      ,				a_			)			)


def 	lowercase_						( lowerCAmelCase__						:	List[Any]			):

			"""simple docstring"""





			__UpperCAmelCase :   int    					=  set()
			__UpperCAmelCase :   Any    					=  word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)			)
						__UpperCAmelCase :   Union[str, Any]    					=  char
			return pairs






class _A	(     __SCREAMING_SNAKE_CASE     ):
		_SCREAMING_SNAKE_CASE       :     Any       =      VOCAB_FILES_NAMES
		_SCREAMING_SNAKE_CASE       :     Dict       =      PRETRAINED_VOCAB_FILES_MAP
		_SCREAMING_SNAKE_CASE       :     Tuple       =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_SCREAMING_SNAKE_CASE       :     str       =      ["""input_ids""", """attention_mask"""]





		def __init__(  self			,							__UpperCAmelCase			,							__UpperCAmelCase			,							__UpperCAmelCase="replace"			,							__UpperCAmelCase="<s>"			,							__UpperCAmelCase="</s>"			,							__UpperCAmelCase="</s>"			,							__UpperCAmelCase="<s>"			,							__UpperCAmelCase="<unk>"			,							__UpperCAmelCase="<pad>"			,							__UpperCAmelCase="<mask>"			,							__UpperCAmelCase=False			,							**__UpperCAmelCase			,							)							->  List[str]:

					'''simple docstring'''
					__UpperCAmelCase :   Optional[int]    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else bos_token
					__UpperCAmelCase :   Union[str, Any]    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else eos_token
					__UpperCAmelCase :   Optional[Any]    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else sep_token
					__UpperCAmelCase :   int    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else cls_token
					__UpperCAmelCase :   str    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else unk_token
					__UpperCAmelCase :   Optional[Any]    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else pad_token

					# Mask token behave like a normal word, i.e. include the space before it
					__UpperCAmelCase :   Optional[int]    					=  AddedToken(lowerCamelCase__			,							lstrip=lowerCamelCase__			,							rstrip=lowerCamelCase__					) if isinstance(lowerCamelCase__			,							lowerCamelCase__					) else mask_token

					super().__init__(
					    errors=lowerCamelCase__			,							bos_token=lowerCamelCase__			,							eos_token=lowerCamelCase__			,							unk_token=lowerCamelCase__			,							sep_token=lowerCamelCase__			,							cls_token=lowerCamelCase__			,							pad_token=lowerCamelCase__			,							mask_token=lowerCamelCase__			,							add_prefix_space=lowerCamelCase__			,							**lowerCamelCase__			,							)
					with open(lowerCamelCase__			,							encoding="""utf-8"""					) as vocab_handle:
								__UpperCAmelCase :   Dict    					=  json.load(lowerCamelCase__					)
					__UpperCAmelCase :   List[str]    					=  {v: k for k, v in self.encoder.items()}
					__UpperCAmelCase :   Optional[int]    					=  errors  # how to handle errors in decoding
					__UpperCAmelCase :   Optional[int]    					=  bytes_to_unicode()
					__UpperCAmelCase :   str    					=  {v: k for k, v in self.byte_encoder.items()}
					with open(lowerCamelCase__			,							encoding="""utf-8"""					) as merges_handle:
								__UpperCAmelCase :   Tuple    					=  merges_handle.read().split("""\n"""					)[1:-1]
					__UpperCAmelCase :   str    					=  [tuple(merge.split()					) for merge in bpe_merges]
					__UpperCAmelCase :   Optional[int]    					=  dict(zip(lowerCamelCase__			,							range(len(lowerCamelCase__					)					)					)					)
					__UpperCAmelCase :   int    					=  {}
					__UpperCAmelCase :   str    					=  add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					__UpperCAmelCase :   Optional[Any]    					=  re.compile(r"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""					)





		@property
		def 				__A							(  self					)							->  Optional[int]:

					'''simple docstring'''
					return len(self.encoder					)





		def 				__A							(  self					)							->  Union[str, Any]:

					'''simple docstring'''
					return dict(self.encoder			,							**self.added_tokens_encoder					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Union[str, Any]:

					'''simple docstring'''

					if token in self.cache:
								return self.cache[token]
					__UpperCAmelCase :   List[str]    					=  tuple(lowerCamelCase__					)
					__UpperCAmelCase :   Optional[int]    					=  get_pairs(lowerCamelCase__					)

					if not pairs:
								return token

					while True:
								__UpperCAmelCase :   Union[str, Any]    					=  min(lowerCamelCase__			,							key=lambda __UpperCAmelCase					: self.bpe_ranks.get(lowerCamelCase__			,							float("""inf"""					)					)					)
								if bigram not in self.bpe_ranks:
											break
								__UpperCAmelCase :   Dict    					=  bigram
								__UpperCAmelCase :   Dict    					=  []
								__UpperCAmelCase :   int    					=  0
								while i < len(lowerCamelCase__					):
											try:
														__UpperCAmelCase :   List[Any]    					=  word.index(lowerCamelCase__			,							lowerCamelCase__					)
											except ValueError:
														new_word.extend(word[i:]					)
														break
											else:
														new_word.extend(word[i:j]					)
														__UpperCAmelCase :   Tuple    					=  j

											if word[i] == first and i < len(lowerCamelCase__					) - 1 and word[i + 1] == second:
														new_word.append(first + second					)
														i += 2
											else:
														new_word.append(word[i]					)
														i += 1
								__UpperCAmelCase :   str    					=  tuple(lowerCamelCase__					)
								__UpperCAmelCase :   List[Any]    					=  new_word
								if len(lowerCamelCase__					) == 1:
											break
								else:
											__UpperCAmelCase :   Union[str, Any]    					=  get_pairs(lowerCamelCase__					)
					__UpperCAmelCase :   Tuple    					=  ' '.join(lowerCamelCase__					)
					__UpperCAmelCase :   str    					=  word
					return word





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Optional[int]:

					'''simple docstring'''
					__UpperCAmelCase :   str    					=  []
					for token in re.findall(self.pat			,							lowerCamelCase__					):
								__UpperCAmelCase :   Dict    					=  ''.join(
								    self.byte_encoder[b] for b in token.encode("""utf-8"""					)					)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
								bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCamelCase__					).split(""" """					)					)
					return bpe_tokens





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Any:

					'''simple docstring'''
					return self.encoder.get(lowerCamelCase__			,							self.encoder.get(self.unk_token					)					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  str:

					'''simple docstring'''
					return self.decoder.get(lowerCamelCase__					)





		def 				__A							(  self			,							__UpperCAmelCase					)							->  Optional[Any]:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  ''.join(lowerCamelCase__					)
					__UpperCAmelCase :   Union[str, Any]    					=  bytearray([self.byte_decoder[c] for c in text]					).decode("""utf-8"""			,							errors=self.errors					)
					return text





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None					)							->  Tuple:

					'''simple docstring'''

					if not os.path.isdir(lowerCamelCase__					):
								logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
								return
					__UpperCAmelCase :   str    					=  os.path.join(
					    lowerCamelCase__			,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
					__UpperCAmelCase :   Tuple    					=  os.path.join(
					    lowerCamelCase__			,							(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]					)

					with open(lowerCamelCase__			,							"""w"""			,							encoding="""utf-8"""					) as f:
								f.write(json.dumps(self.encoder			,							indent=2			,							sort_keys=lowerCamelCase__			,							ensure_ascii=lowerCamelCase__					) + """\n"""					)

					__UpperCAmelCase :   Dict    					=  0
					with open(lowerCamelCase__			,							"""w"""			,							encoding="""utf-8"""					) as writer:
								writer.write("""#version: 0.2\n"""					)
								for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,							key=lambda __UpperCAmelCase					: kv[1]					):
											if index != token_index:
														logger.warning(
														    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
														    """ Please check that the tokenizer is not corrupted!"""					)
														__UpperCAmelCase :   Tuple    					=  token_index
											writer.write(""" """.join(lowerCamelCase__					) + """\n"""					)
											index += 1

					return vocab_file, merge_file





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None					)							->  int:

					'''simple docstring'''

					if token_ids_a is None:
								return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					__UpperCAmelCase :   Dict    					=  [self.cls_token_id]
					__UpperCAmelCase :   Optional[int]    					=  [self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None			,							__UpperCAmelCase = False					)							->  Any:

					'''simple docstring'''

					if already_has_special_tokens:
								return super().get_special_tokens_mask(
								    token_ids_a=lowerCamelCase__			,							token_ids_a=lowerCamelCase__			,							already_has_special_tokens=lowerCamelCase__					)

					if token_ids_a is None:
								return [1] + ([0] * len(lowerCamelCase__					)) + [1]
					return [1] + ([0] * len(lowerCamelCase__					)) + [1, 1] + ([0] * len(lowerCamelCase__					)) + [1]





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase = None					)							->  Union[str, Any]:

					'''simple docstring'''
					__UpperCAmelCase :   Tuple    					=  [self.sep_token_id]
					__UpperCAmelCase :   Union[str, Any]    					=  [self.cls_token_id]

					if token_ids_a is None:
								return len(cls + token_ids_a + sep					) * [0]
					return len(cls + token_ids_a + sep + sep + token_ids_a + sep					) * [0]





		def 				__A							(  self			,							__UpperCAmelCase			,							__UpperCAmelCase=False			,							**__UpperCAmelCase					)							->  str:

					'''simple docstring'''
					__UpperCAmelCase :   List[str]    					=  kwargs.pop("""add_prefix_space"""			,							self.add_prefix_space					)
					if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase__					) > 0 and not text[0].isspace()):
								__UpperCAmelCase :   Dict    					=  ' ' + text
					return (text, kwargs)












from __future__ import annotations




class 							__A	:





				"""simple docstring"""







				def __init__(					self				,    lowerCamelCase__ = 0       ):




									"""simple docstring"""

									__UpperCamelCase :   str									=value
									__UpperCamelCase :   Node | None									=None
									__UpperCamelCase :   Node | None									=None






def 				A	(			a_				,a_   )	->		Node | None:
					if treea is None:
										return treea
					if treea is None:
										return treea

					__UpperCamelCase :   Dict									=treea.value + treea.value
					__UpperCamelCase :   Any									=merge_two_binary_trees(treea.left				,treea.left   )
					__UpperCamelCase :   Union[str, Any]									=merge_two_binary_trees(treea.right				,treea.right   )
					return treea






def 				A	(			a_   )	->		None:
					if root:
										print(root.value   )
										print_preorder(root.left   )
										print_preorder(root.right   )


if __name__ == "__main__":
							A_			:List[str]	    =		Node(1)
							A_			:Dict	    =		Node(2)
							A_			:str	    =		Node(3)
							A_			:Union[str, Any]	    =		Node(4)

							A_			:Any	    =		Node(2)
							A_			:Tuple	    =		Node(4)
							A_			:Optional[Any]	    =		Node(6)
							A_			:Optional[Any]	    =		Node(9)
							A_			:str	    =		Node(5)

							print('''Tree1 is: ''')
							print_preorder(treea)
							print('''Tree2 is: ''')
							print_preorder(treea)
							A_			:Optional[Any]	    =		merge_two_binary_trees(treea, treea)
							print('''Merged Tree is: ''')
							print_preorder(merged_tree)

