





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


SCREAMING_SNAKE_CASE_						   =       logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_						   =       {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE_						   =       {
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json''',
    },
}

SCREAMING_SNAKE_CASE_						   =       {
    '''facebook/bart-base''': 1_0_2_4,
    '''facebook/bart-large''': 1_0_2_4,
    '''facebook/bart-large-mnli''': 1_0_2_4,
    '''facebook/bart-large-cnn''': 1_0_2_4,
    '''facebook/bart-large-xsum''': 1_0_2_4,
    '''yjernite/bart_eli5''': 1_0_2_4,
}

class 		UpperCamelCase__ (      a_   ):



     '''simple docstring'''

     __snake_case    :	List[str]			=			VOCAB_FILES_NAMES
     __snake_case    :	List[str]			=			PRETRAINED_VOCAB_FILES_MAP
     __snake_case    :	str			=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case    :	Tuple			=			["input_ids", "attention_mask"]
     __snake_case    :	str			=			BartTokenizer






     def __init__(							self						:    Union[str, Any]						,lowerCamelCase__						:    int=None						,lowerCamelCase__						:    Tuple=None						,lowerCamelCase__						:    List[Any]=None						,lowerCamelCase__						:    str="replace"						,lowerCamelCase__						:    List[Any]="<s>"						,lowerCamelCase__						:    Dict="</s>"						,lowerCamelCase__						:    List[Any]="</s>"						,lowerCamelCase__						:    Union[str, Any]="<s>"						,lowerCamelCase__						:    Dict="<unk>"						,lowerCamelCase__						:    Any="<pad>"						,lowerCamelCase__						:    List[str]="<mask>"						,lowerCamelCase__						:    int=False						,lowerCamelCase__						:    int=True						,**lowerCamelCase__						:    int						,)     ->		Optional[Any]:




           '''simple docstring'''


           super().__init__(
               lowercase_						,lowercase_						,tokenizer_file=lowercase_						,errors=lowercase_						,bos_token=lowercase_						,eos_token=lowercase_						,sep_token=lowercase_						,cls_token=lowercase_						,unk_token=lowercase_						,pad_token=lowercase_						,mask_token=lowercase_						,add_prefix_space=lowercase_						,trim_offsets=lowercase_						,**lowercase_						,)

           SCREAMING_SNAKE_CASE		=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
           if pre_tok_state.get("""add_prefix_space"""						,lowercase_       ) != add_prefix_space:
                 SCREAMING_SNAKE_CASE		=						getattr(lowercase_						,pre_tok_state.pop("""type"""       )       )
                 SCREAMING_SNAKE_CASE		=						add_prefix_space
                 SCREAMING_SNAKE_CASE		=						pre_tok_class(**lowercase_       )

           SCREAMING_SNAKE_CASE		=						add_prefix_space

           # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
           SCREAMING_SNAKE_CASE		=						'''post_processor'''
           SCREAMING_SNAKE_CASE		=						getattr(self.backend_tokenizer						,lowercase_						,lowercase_       )
           if tokenizer_component_instance:
                 SCREAMING_SNAKE_CASE		=						json.loads(tokenizer_component_instance.__getstate__()       )

                 # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                 if "sep" in state:
                       SCREAMING_SNAKE_CASE		=						tuple(state["""sep"""]       )
                 if "cls" in state:
                       SCREAMING_SNAKE_CASE		=						tuple(state["""cls"""]       )

                 SCREAMING_SNAKE_CASE		=						False

                 if state.get("""add_prefix_space"""						,lowercase_       ) != add_prefix_space:
                       SCREAMING_SNAKE_CASE		=						add_prefix_space
                       SCREAMING_SNAKE_CASE		=						True

                 if state.get("""trim_offsets"""						,lowercase_       ) != trim_offsets:
                       SCREAMING_SNAKE_CASE		=						trim_offsets
                       SCREAMING_SNAKE_CASE		=						True

                 if changes_to_apply:
                       SCREAMING_SNAKE_CASE		=						getattr(lowercase_						,state.pop("""type"""       )       )
                       SCREAMING_SNAKE_CASE		=						component_class(**lowercase_       )
                       setattr(self.backend_tokenizer						,lowercase_						,lowercase_       )






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




           '''simple docstring'''


           if self._mask_token is None:
                 if self.verbose:
                       logger.error("""Using mask_token, but it is not set yet."""       )
                 return None
           return str(self._mask_token       )






     @mask_token.setter
     def 				SCREAMING_SNAKE_CASE__  (							self						:    int						,lowerCamelCase__						:    Tuple       )     ->		int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						AddedToken(lowercase_						,lstrip=lowercase_						,rstrip=lowercase_       ) if isinstance(lowercase_						,lowercase_       ) else value
           SCREAMING_SNAKE_CASE		=						value






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Optional[int]						,*lowerCamelCase__						:    Tuple						,**lowerCamelCase__						:    str       )     ->		Dict:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						kwargs.get("""is_split_into_words"""						,lowercase_       )

           if is_split_into_words and not self.add_prefix_space:
                 raise ValueError(
                     F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                     """to use it with pretokenized inputs."""       )

           return super()._batch_encode_plus(*lowercase_						,**lowercase_       )






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Optional[int]						,*lowerCamelCase__						:    str						,**lowerCamelCase__						:    str       )     ->		int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						kwargs.get("""is_split_into_words"""						,lowercase_       )

           if is_split_into_words and not self.add_prefix_space:
                 raise ValueError(
                     F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                     """to use it with pretokenized inputs."""       )

           return super()._encode_plus(*lowercase_						,**lowercase_       )






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Optional[Any]						,lowerCamelCase__						:    str						,lowerCamelCase__						:    Optional[str] = None       )     ->		int:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						self._tokenizer.model.save(lowercase_						,name=lowercase_       )
           return tuple(lowercase_       )






     def 				SCREAMING_SNAKE_CASE__  (							self						:    int						,lowerCamelCase__						:    str						,lowerCamelCase__						:    Dict=None       )     ->		Dict:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE		=						[self.bos_token_id] + token_ids_a + [self.eos_token_id]
           if token_ids_a is None:
                 return output

           return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






     def 				SCREAMING_SNAKE_CASE__  (							self						:    Dict						,lowerCamelCase__						:    List[int]						,lowerCamelCase__						:    Optional[List[int]] = None       )     ->		Optional[int]:




           '''simple docstring'''


           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 + sep + token_ids_a + sep       ) * [0]





"""simple docstring"""





from collections import defaultdict
from math import ceil, sqrt

def   __SCREAMING_SNAKE_CASE  (      A_ = 1_00_00_00						,     A_ = 10 ):
	lowerCAmelCase__	:						defaultdict  				=	defaultdict(A_ )

	for outer_width in range(3						,     (t_limit // 4) + 2 ):
		if outer_width * outer_width > t_limit:
			lowerCAmelCase__	:						int  				=	max(
			    ceil(sqrt(outer_width * outer_width - t_limit ) )						,     1 )
		else:
			lowerCAmelCase__	:						Tuple  				=	1

		hole_width_lower_bound += (outer_width - hole_width_lower_bound) % 2

		for hole_width in range(A_						,     outer_width - 1						,     2 ):
			count[outer_width * outer_width - hole_width * hole_width] += 1

	return sum(1 for n in count.values() if 1 <= n <= 10 )


if __name__ == "__main__":
							print(F'''{solution() = }''')




