





import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_reformer import ReformerTokenizer
else:
     _UpperCAmelCase										=					None


_UpperCAmelCase										=					logging.get_logger(__name__)


_UpperCAmelCase										=					'▁'

_UpperCAmelCase										=					{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

_UpperCAmelCase										=					{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

_UpperCAmelCase										=					{
    'google/reformer-crime-and-punishment': 5_2_4_2_8_8,
}



class 				_UpperCamelCase       (						lowercase_  ):
       _UpperCamelCase					:       int       = VOCAB_FILES_NAMES
       _UpperCamelCase					:       List[str]       = PRETRAINED_VOCAB_FILES_MAP
       _UpperCamelCase					:       List[str]       = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _UpperCamelCase					:       List[str]       = ['''input_ids''', '''attention_mask''']
       _UpperCamelCase					:       Dict       = ReformerTokenizer

       def __init__(		self:			List[str]       , _SCREAMING_SNAKE_CASE:			Tuple=None       , _SCREAMING_SNAKE_CASE:			Any=None       , _SCREAMING_SNAKE_CASE:			int="</s>"       , _SCREAMING_SNAKE_CASE:			Union[str, Any]="<unk>"       , _SCREAMING_SNAKE_CASE:			str=[]       , **_SCREAMING_SNAKE_CASE:			Optional[Any]       , )							->			Optional[Any]:




              """simple docstring"""


              super().__init__(
                  __UpperCamelCase       , tokenizer_file=__UpperCamelCase       , eos_token=__UpperCamelCase       , unk_token=__UpperCamelCase       , additional_special_tokens=__UpperCamelCase       , **__UpperCamelCase       , )

              UpperCamelCase_ 							=	vocab_file
              UpperCamelCase_ 							=	False if not self.vocab_file else True



       def lowercase			(		self:			int       , _SCREAMING_SNAKE_CASE:			str       , _SCREAMING_SNAKE_CASE:			Optional[str] = None		)							->			str:




              """simple docstring"""


              if not self.can_save_slow_tokenizer:
                     raise ValueError(
                         "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                         "tokenizer."		)

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

              if os.path.abspath(self.vocab_file		) != os.path.abspath(__UpperCamelCase		):
                     copyfile(self.vocab_file       , __UpperCamelCase		)

              return (out_vocab_file,)








"""simple docstring"""
from __future__ import annotations

from queue import Queue






def    A__							(     UpperCamelCase   ,    UpperCamelCase			):
							a ^= b
							b ^= a
							a ^= b
							return a, b






def    A__							(     UpperCamelCase   ,    UpperCamelCase			):
							A						=    1
							while (1 << j) < max_node:
														for i in range(1   ,    max_node + 1			):
																					A						=    parent[j - 1][parent[j - 1][i]]
														j += 1
							return parent






def    A__							(     UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase			):
							# u must be deeper in the tree than v
							if level[u] < level[v]:
														A,      A						=    swap(UpperCamelCase   ,    UpperCamelCase			)
							# making depth of u same as depth of v
							for i in range(18   ,    -1   ,    -1			):
														if level[u] - (1 << i) >= level[v]:
																					A						=    parent[i][u]
    # at the same depth if u==v that mean lca is found
							if u == v:
														return u
							# moving both nodes upwards till lca in found
							for i in range(18   ,    -1   ,    -1			):
														if parent[i][u] not in [0, parent[i][v]]:
																					A,      A						=    parent[i][u], parent[i][v]
    # returning longest common ancestor of u,v
							return parent[0][u]






def    A__							(     UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase = 1   ,    ):
							A						=    0
							A						=    Queue(maxsize=UpperCamelCase			)
							q.put(UpperCamelCase			)
							while q.qsize() != 0:
														A						=    q.get()
														for v in graph[u]:
																					if level[v] == -1:
																												A						=    level[u] + 1
																												q.put(UpperCamelCase			)
																												A						=    u
							return level, parent






def    A__							(     ):
							A						=    13
							# initializing with 0
							A						=    [[0 for _ in range(max_node + 10			)] for _ in range(20			)]
							# initializing with -1 which means every node is unvisited
							A						=    [-1 for _ in range(max_node + 10			)]
							A						=    {
							    1: [2, 3, 4],
							    2: [5],
							    3: [6, 7],
							    4: [8],
							    5: [9, 10],
							    6: [11],
							    7: [],
							    8: [12, 13],
							    9: [],
							    10: [],
							    11: [],
							    12: [],
							    13: [],
							}
							A,      A						=    breadth_first_search(UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase   ,    UpperCamelCase   ,    1			)
							A						=    create_sparse(UpperCamelCase   ,    UpperCamelCase			)
							print("LCA of node 1 and 3 is: "   ,    lowest_common_ancestor(1   ,    3   ,    UpperCamelCase   ,    UpperCamelCase			)			)
							print("LCA of node 5 and 6 is: "   ,    lowest_common_ancestor(5   ,    6   ,    UpperCamelCase   ,    UpperCamelCase			)			)
							print("LCA of node 7 and 11 is: "   ,    lowest_common_ancestor(7   ,    11   ,    UpperCamelCase   ,    UpperCamelCase			)			)
							print("LCA of node 6 and 7 is: "   ,    lowest_common_ancestor(6   ,    7   ,    UpperCamelCase   ,    UpperCamelCase			)			)
							print("LCA of node 4 and 12 is: "   ,    lowest_common_ancestor(4   ,    12   ,    UpperCamelCase   ,    UpperCamelCase			)			)
							print("LCA of node 8 and 8 is: "   ,    lowest_common_ancestor(8   ,    8   ,    UpperCamelCase   ,    UpperCamelCase			)			)


if __name__ == "__main__":
		main()


