


"""simple docstring"""
def 		lowercase							(     _snake_case						:      List[Any]     )     ->str:
	"""simple docstring"""





	__snake_case	:						int						=				0
	__snake_case	:						List[str]						=				len(_snake_case     )

	for i in range(n - 1     ):
		for j in range(i + 1     ,   _snake_case     ):
			if arr[i] > arr[j]:
				num_inversions += 1

	return num_inversions






def 		lowercase							(     _snake_case						:      Optional[int]     )     ->Tuple:
	"""simple docstring"""





	if len(_snake_case     ) <= 1:
		return arr, 0
	__snake_case	:						Optional[Any]						=				len(_snake_case     ) // 2
	__snake_case	:						List[str]						=				arr[0:mid]
	__snake_case	:						Union[str, Any]						=				arr[mid:]

	__snake_case	,							__snake_case	:						Tuple						=				count_inversions_recursive(_snake_case     )
	__snake_case	,							__snake_case	:						Union[str, Any]						=				count_inversions_recursive(_snake_case     )
	__snake_case	,							__snake_case	:						List[str]						=				_count_cross_inversions(_snake_case     ,   _snake_case     )

	__snake_case	:						str						=				inversion_p + inversions_q + cross_inversions
	return c, num_inversions






def 		lowercase							(     _snake_case						:      Tuple     ,   _snake_case						:      List[Any]     )     ->Optional[int]:
	"""simple docstring"""





	__snake_case	:						Dict						=				[]
	__snake_case	:						Tuple						=				0
	while i < len(_snake_case     ) and j < len(_snake_case     ):
		if p[i] > q[j]:
			# if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
			# These are all inversions. The claim emerges from the
			# property that P is sorted.
			num_inversion += len(_snake_case     ) - i
			r.append(q[j]     )
			j += 1
		else:
			r.append(p[i]     )
			i += 1

	if i < len(_snake_case     ):
		r.extend(p[i:]     )
	else:
		r.extend(q[j:]     )

	return r, num_inversion






def 		lowercase							(     )     ->str:
	"""simple docstring"""





	__snake_case	:						Optional[Any]						=				[10, 2, 1, 5, 5, 2, 11]

	# this arr has 8 inversions:
	# (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

	__snake_case	:						Any						=				count_inversions_bf(_snake_case     )
	__snake_case	,							__snake_case	:						Optional[int]						=				count_inversions_recursive(_snake_case     )

	assert num_inversions_bf == num_inversions_recursive == 8

	print('''number of inversions = '''     ,   _snake_case     )

	# testing an array with zero inversion (a sorted arr_1)

	arr_a.sort()
	__snake_case	:						Optional[Any]						=				count_inversions_bf(_snake_case     )
	__snake_case	,							__snake_case	:						Optional[Any]						=				count_inversions_recursive(_snake_case     )

	assert num_inversions_bf == num_inversions_recursive == 0
	print('''number of inversions = '''     ,   _snake_case     )

	# an empty list should also have zero inversions
	__snake_case	:						Tuple						=				[]
	__snake_case	:						Optional[int]						=				count_inversions_bf(_snake_case     )
	__snake_case	,							__snake_case	:						Union[str, Any]						=				count_inversions_recursive(_snake_case     )

	assert num_inversions_bf == num_inversions_recursive == 0
	print('''number of inversions = '''     ,   _snake_case     )


if __name__ == "__main__":
			main()











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


lowerCamelCase__ :   Union[str, Any]					=							logging.get_logger(__name__)

lowerCamelCase__ :   Dict					=							{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__ :   Tuple					=							{
    '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'
        ),
    },
}

lowerCamelCase__ :   int					=							{
    'squeezebert/squeezebert-uncased': 512,
    'squeezebert/squeezebert-mnli': 512,
    'squeezebert/squeezebert-mnli-headless': 512,
}


lowerCamelCase__ :   str					=							{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}





class        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE					):


 '''simple docstring'''







 lowercase_				    =    VOCAB_FILES_NAMES
 lowercase_				    =    PRETRAINED_VOCAB_FILES_MAP
 lowercase_				    =    PRETRAINED_INIT_CONFIGURATION
 lowercase_				    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_				    =    SqueezeBertTokenizer



 def __init__(							self  :		Tuple				,				_lowerCAmelCase  :		Dict=None				,				_lowerCAmelCase  :		int=None				,				_lowerCAmelCase  :		List[str]=True				,				_lowerCAmelCase  :		str="[UNK]"				,				_lowerCAmelCase  :		Union[str, Any]="[SEP]"				,				_lowerCAmelCase  :		List[Any]="[PAD]"				,				_lowerCAmelCase  :		str="[CLS]"				,				_lowerCAmelCase  :		Dict="[MASK]"				,				_lowerCAmelCase  :		Optional[int]=True				,				_lowerCAmelCase  :		Dict=None				,				**_lowerCAmelCase  :		str				,				):
       super().__init__(
           _lowerCAmelCase				,				tokenizer_file=_lowerCAmelCase				,				do_lower_case=_lowerCAmelCase				,				unk_token=_lowerCAmelCase				,				sep_token=_lowerCAmelCase				,				pad_token=_lowerCAmelCase				,				cls_token=_lowerCAmelCase				,				mask_token=_lowerCAmelCase				,				tokenize_chinese_chars=_lowerCAmelCase				,				strip_accents=_lowerCAmelCase				,				**_lowerCAmelCase				,				)

       SCREAMING_SNAKE_CASE_							=			json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
       if (
           normalizer_state.get('lowercase'				,				_lowerCAmelCase						) != do_lower_case
           or normalizer_state.get('strip_accents'				,				_lowerCAmelCase						) != strip_accents
           or normalizer_state.get('handle_chinese_chars'				,				_lowerCAmelCase						) != tokenize_chinese_chars
       ):
             SCREAMING_SNAKE_CASE_							=			getattr(_lowerCAmelCase				,				normalizer_state.pop('type'						)						)
             SCREAMING_SNAKE_CASE_							=			do_lower_case
             SCREAMING_SNAKE_CASE_							=			strip_accents
             SCREAMING_SNAKE_CASE_							=			tokenize_chinese_chars
             SCREAMING_SNAKE_CASE_							=			normalizer_class(**_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			do_lower_case



 def       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[int]=None						):
       SCREAMING_SNAKE_CASE_							=			[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       lowerCAmelCase_  (							self  :		Optional[int]				,				_lowerCAmelCase  :		List[int]				,				_lowerCAmelCase  :		Optional[List[int]] = None						):
       SCREAMING_SNAKE_CASE_							=			[self.sep_token_id]
       SCREAMING_SNAKE_CASE_							=			[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       lowerCAmelCase_  (							self  :		Tuple				,				_lowerCAmelCase  :		str				,				_lowerCAmelCase  :		Optional[str] = None						):
       SCREAMING_SNAKE_CASE_							=			self._tokenizer.model.save(_lowerCAmelCase				,				name=_lowerCAmelCase						)
       return tuple(_lowerCAmelCase						)