





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


UpperCAmelCase_							=				logging.get_logger(__name__)

UpperCAmelCase_							=				{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase_							=				{
    """vocab_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"""
        ),
        """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt""",
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCAmelCase_							=				{
    """squeezebert/squeezebert-uncased""": 512,
    """squeezebert/squeezebert-mnli""": 512,
    """squeezebert/squeezebert-mnli-headless""": 512,
}


UpperCAmelCase_							=				{
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}
class     UpperCamelCase__					(     __SCREAMING_SNAKE_CASE				):






		'''simple docstring'''






		__a       :       Any       =	VOCAB_FILES_NAMES
		__a       :       str       =	PRETRAINED_VOCAB_FILES_MAP
		__a       :       Union[str, Any]       =	PRETRAINED_INIT_CONFIGURATION
		__a       :       List[Any]       =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__a       :       Optional[int]       =	SqueezeBertTokenizer






		def __init__(							self,   snake_case__=None,   snake_case__=None,   snake_case__=True,   snake_case__="[UNK]",   snake_case__="[SEP]",   snake_case__="[PAD]",   snake_case__="[CLS]",   snake_case__="[MASK]",   snake_case__=True,   snake_case__=None,   **snake_case__,   )       -> str:






									"""simple docstring"""
									super().__init__(
									    UpperCamelCase__,   tokenizer_file=UpperCamelCase__,   do_lower_case=UpperCamelCase__,   unk_token=UpperCamelCase__,   sep_token=UpperCamelCase__,   pad_token=UpperCamelCase__,   cls_token=UpperCamelCase__,   mask_token=UpperCamelCase__,   tokenize_chinese_chars=UpperCamelCase__,   strip_accents=UpperCamelCase__,   **UpperCamelCase__,   )

									lowercase_	:   Tuple  				=     json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
									if (
									    normalizer_state.get("""lowercase""",   UpperCamelCase__  ) != do_lower_case
									    or normalizer_state.get("""strip_accents""",   UpperCamelCase__  ) != strip_accents
									    or normalizer_state.get("""handle_chinese_chars""",   UpperCamelCase__  ) != tokenize_chinese_chars
									):
																lowercase_	:   Union[str, Any]  				=     getattr(UpperCamelCase__,   normalizer_state.pop("""type"""  )  )
																lowercase_	:   Tuple  				=     do_lower_case
																lowercase_	:   Optional[int]  				=     strip_accents
																lowercase_	:   Any  				=     tokenize_chinese_chars
																lowercase_	:   List[str]  				=     normalizer_class(**UpperCamelCase__  )

									lowercase_	:   Dict  				=     do_lower_case






		def 						snake_case__				(							self,   snake_case__,   snake_case__=None  )       -> Any:






									"""simple docstring"""
									lowercase_	:   str  				=     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

									if token_ids_a:
																output += token_ids_a + [self.sep_token_id]

									return output






		def 						snake_case__				(							self,   snake_case__,   snake_case__ = None  )       -> List[int]:






									"""simple docstring"""
									lowercase_	:   Dict  				=     [self.sep_token_id]
									lowercase_	:   str  				=     [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  ) * [0] + len(token_ids_a + sep  ) * [1]






		def 						snake_case__				(							self,   snake_case__,   snake_case__ = None  )       -> Tuple[str]:






									"""simple docstring"""
									lowercase_	:   Tuple  				=     self._tokenizer.model.save(UpperCamelCase__,   name=UpperCamelCase__  )
									return tuple(UpperCamelCase__  )

'''simple docstring'''
from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__						       =      TypeVar("T")






class 	snake_case__       (      Generic[T]					):







		"""simple docstring"""

		def __init__(      self				:			str  ,	UpperCamelCase__				:			list[T]  ,	UpperCamelCase__				:			Callable[[T, T], T]      )						->			None:






				"""simple docstring"""







				snake_case  :       Any | T     			=						None

				snake_case  :       int     			=						len(UpperCamelCase__      )
				snake_case  :       list[T]     			=						[any_type for _ in range(self.N      )] + arr
				snake_case  :       Optional[int]     			=						fnc
				self.build()



		def       lowerCAmelCase				(      self				:			Optional[Any]      )						->			None:






				"""simple docstring"""







				for p in range(self.N - 1  ,	0  ,	-1      ):
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			List[Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			T      )						->			None:






				"""simple docstring"""







				p += self.N
				snake_case  :       int     			=						v
				while p > 1:
						snake_case  :       List[Any]     			=						p // 2
						snake_case  :       List[Any]     			=						self.fn(self.st[p * 2]  ,	self.st[p * 2 + 1]      )



		def       lowerCAmelCase				(      self				:			Union[str, Any]  ,	UpperCamelCase__				:			int  ,	UpperCamelCase__				:			int      )						->			T | None:  # noqa: E741






				"""simple docstring"""







				snake_case			,snake_case  :       Union[str, Any]     			=						l + self.N, r + self.N

				snake_case  :       T | None     			=						None
				while l <= r:
						if l % 2 == 1:
								snake_case  :       str     			=						self.st[l] if res is None else self.fn(UpperCamelCase__  ,	self.st[l]      )
						if r % 2 == 0:
								snake_case  :       Tuple     			=						self.st[r] if res is None else self.fn(UpperCamelCase__  ,	self.st[r]      )
						snake_case			,snake_case  :       Dict     			=						(l + 1) // 2, (r - 1) // 2
				return res


if __name__ == "__main__":
						from functools import reduce

						lowercase__						       =      [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

						lowercase__						       =      {
						    0: 7,
						    1: 2,
						    2: 6,
						    3: -1_4,
						    4: 5,
						    5: 4,
						    6: 7,
						    7: -1_0,
						    8: 9,
						    9: 1_0,
						    1_0: 1_2,
						    1_1: 1,
						}

						lowercase__						       =      SegmentTree(test_array, min)
						lowercase__						       =      SegmentTree(test_array, max)
						lowercase__						       =      SegmentTree(test_array, lambda a, b: a + b)




						def    _UpperCamelCase						(       )  ->							None:


								'''simple docstring'''


								for i in range(len(SCREAMING_SNAKE_CASE__			)			):
										for j in range(SCREAMING_SNAKE_CASE__ ,       len(SCREAMING_SNAKE_CASE__			)			):
												snake_case  :       int     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       List[str]     			=						reduce(SCREAMING_SNAKE_CASE__ ,       test_array[i : j + 1]			)
												snake_case  :       Tuple     			=						reduce(lambda SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			: a + b ,       test_array[i : j + 1]			)
												assert min_range == min_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert max_range == max_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)
												assert sum_range == sum_segment_tree.query(SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__			)

						test_all_segments()

						for index, value in test_updates.items():
												lowercase__						       =      value
												min_segment_tree.update(index, value)
												max_segment_tree.update(index, value)
												sum_segment_tree.update(index, value)
												test_all_segments()


