



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

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


if is_sentencepiece_available():
					from .tokenization_pegasus import PegasusTokenizer
else:
					UpperCAmelCase_ 							=       None


UpperCAmelCase_ 							=       logging.get_logger(__name__)


UpperCAmelCase_ 							=       "▁"

UpperCAmelCase_ 							=       {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase_ 							=       {
    "vocab_file": {"google/pegasus-xsum": "https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"},
    "tokenizer_file": {
        "google/pegasus-xsum": "https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"
    },
}

UpperCAmelCase_ 							=       {
    "google/pegasus-xsum": 512,
}
class      UpperCamelCase_						(					_UpperCAmelCase   ):
					lowerCAmelCase_							=		VOCAB_FILES_NAMES
					lowerCAmelCase_							=		PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_							=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_							=		PegasusTokenizer
					lowerCAmelCase_							=		['''input_ids''', '''attention_mask''']




					def __init__(						self			,  lowerCAmelCase_=None			,  lowerCAmelCase_=None			,  lowerCAmelCase_="<pad>"			,  lowerCAmelCase_="</s>"			,  lowerCAmelCase_="<unk>"			,  lowerCAmelCase_="<mask_2>"			,  lowerCAmelCase_="<mask_1>"			,  lowerCAmelCase_=None			,  lowerCAmelCase_=103			,  **lowerCAmelCase_			,  )						->							Union[str, Any]:
										_snake_case													=			offset

										if additional_special_tokens is not None:
															if not isinstance(lowercase_			,  lowercase_					):
																				raise TypeError(
																				    F'''additional_special_tokens should be of type {type(lowercase_					)}, but is'''
																				    F''' {type(lowercase_					)}'''					)

															_snake_case													=			(
															    ([mask_token_sent] + additional_special_tokens)
															    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
															    else additional_special_tokens
															)
															# fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
															additional_special_tokens_extended += [
															    F'''<unk_{i}>''' for i in range(len(lowercase_					)			,  self.offset - 1					)
															]

															if len(set(lowercase_					)					) != len(lowercase_					):
																				raise ValueError(
																				    'Please make sure that the provided additional_special_tokens do not contain an incorrectly'
																				    F''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'''					)
															_snake_case													=			additional_special_tokens_extended
										else:
															_snake_case													=			[mask_token_sent] if mask_token_sent is not None else []
															additional_special_tokens += [F'''<unk_{i}>''' for i in range(2			,  self.offset					)]

										super().__init__(
										    lowercase_			,  tokenizer_file=lowercase_			,  pad_token=lowercase_			,  eos_token=lowercase_			,  unk_token=lowercase_			,  mask_token=lowercase_			,  mask_token_sent=lowercase_			,  offset=lowercase_			,  additional_special_tokens=lowercase_			,  **lowercase_			,  )
										_snake_case													=			vocab_file
										_snake_case													=			False if not self.vocab_file else True




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_					)						->							List[Any]:
										_snake_case													=			set(self.all_special_ids					)  # call it once instead of inside list comp
										all_special_ids.remove(self.unk_token_id					)  # <unk> is only sometimes special

										if all_special_ids != set(range(len(self.additional_special_tokens					) + 3					)					):
															raise ValueError(
															    'There should be 3 special tokens: mask_token, pad_token, and eos_token +'
															    F''' {len(self.additional_special_tokens					)} additional_special_tokens, but got {all_special_ids}'''					)

										return [1 if x in all_special_ids else 0 for x in seq]




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_ = None			,  lowerCAmelCase_ = False					)						->							Tuple:
										if already_has_special_tokens:
															return self._special_token_mask(lowercase_					)
										elif token_ids_a is None:
															return self._special_token_mask(lowercase_					) + [1]
										else:
															return self._special_token_mask(token_ids_a + token_ids_a					) + [1]




					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_=None					)						->							int:
										if token_ids_a is None:
															return token_ids_a + [self.eos_token_id]
										# We don't expect to process pairs, but leave the pair logic for API consistency
										return token_ids_a + token_ids_a + [self.eos_token_id]






					def 		lowerCAmelCase     (						self			,  lowerCAmelCase_			,  lowerCAmelCase_ = None					)						->							int:
										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(lowercase_					):
															logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
															return
										_snake_case													=			os.path.join(
										    lowercase_			,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

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

										return (out_vocab_file,)










def   lowerCamelCase__       (       UpperCamelCase__     :    Tuple    ,      UpperCamelCase__     :    Optional[int]  )     ->	Tuple:



					'''simple docstring'''




					_snake_case													=			[0 for i in range(r + 1  )]
					# nc0 = 1
					_snake_case													=			1
					for i in range(1    ,      n + 1  ):
										# to compute current row from previous row.
										_snake_case													=			min(UpperCamelCase__    ,      UpperCamelCase__  )
										while j > 0:
															c[j] += c[j - 1]
															j -= 1
					return c[r]




print(binomial_coefficient(n=10, r=5))



