"""simple docstring"""




import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


__lowerCAmelCase     :				Any    				=    logging.get_logger(__name__)


__lowerCAmelCase     :				List[Any]    				=    {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
__lowerCAmelCase     :				Dict    				=    {
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

__lowerCAmelCase     :				Optional[Any]    				=    {
    "allenai/led-base-16384": 1_63_84,
}







@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		lowerCAmelCase__   = (
		    list(range(ord("""!"""  )      ,	ord("""~"""  ) + 1  )  ) + list(range(ord("""¡"""  )      ,	ord("""¬"""  ) + 1  )  ) + list(range(ord("""®"""  )      ,	ord("""ÿ"""  ) + 1  )  )
		)
		lowerCAmelCase__   = bs[:]
		lowerCAmelCase__   = 0
		for b in range(2**8  ):
				if b not in bs:
						bs.append(lowerCamelCase__  )
						cs.append(2**8 + n  )
						n += 1
		lowerCAmelCase__   = [chr(lowerCamelCase__  ) for n in cs]
		return dict(zip(lowerCamelCase__      ,	lowerCamelCase__  )  )







def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = set()
		lowerCAmelCase__   = word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)  )
				lowerCAmelCase__   = char
		return pairs






class    a_   (  __UpperCamelCase      ):
					UpperCamelCase_			:						List[Any]      =     VOCAB_FILES_NAMES
					UpperCamelCase_			:						List[Any]      =     PRETRAINED_VOCAB_FILES_MAP
					UpperCamelCase_			:						str      =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCamelCase_			:						List[Any]      =     ["input_ids", "attention_mask"]




					def __init__(						self    :  List[str]	,    snake_case__    :  Any	,    snake_case__    :  List[str]	,    snake_case__    :  List[Any]="replace"	,    snake_case__    :  Union[str, Any]="<s>"	,    snake_case__    :  Tuple="</s>"	,    snake_case__    :  Union[str, Any]="</s>"	,    snake_case__    :  str="<s>"	,    snake_case__    :  Optional[Any]="<unk>"	,    snake_case__    :  Any="<pad>"	,    snake_case__    :  List[Any]="<mask>"	,    snake_case__    :  List[str]=False	,    **snake_case__    :  List[str]	,    ):
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else bos_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else eos_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else sep_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else cls_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else unk_token
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							lowerCAmelCase__   = AddedToken(snake_case__	,    lstrip=snake_case__	,    rstrip=snake_case__  ) if isinstance(snake_case__	,    snake_case__  ) else mask_token

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

							with open(snake_case__	,    encoding="""utf-8"""  ) as vocab_handle:
									lowerCAmelCase__   = json.load(snake_case__  )
							lowerCAmelCase__   = {v: k for k, v in self.encoder.items()}
							lowerCAmelCase__   = errors  # how to handle errors in decoding
							lowerCAmelCase__   = bytes_to_unicode()
							lowerCAmelCase__   = {v: k for k, v in self.byte_encoder.items()}
							with open(snake_case__	,    encoding="""utf-8"""  ) as merges_handle:
									lowerCAmelCase__   = merges_handle.read().split("""\n"""  )[1:-1]
							lowerCAmelCase__   = [tuple(merge.split()  ) for merge in bpe_merges]
							lowerCAmelCase__   = dict(zip(snake_case__	,    range(len(snake_case__  )  )  )  )
							lowerCAmelCase__   = {}
							lowerCAmelCase__   = add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							lowerCAmelCase__   = re.compile(R"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""  )




					@property
					# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]  ):
							return len(self.encoder  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]  ):
							return dict(self.encoder	,    **self.added_tokens_encoder  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  str	,    snake_case__    :  List[Any]  ):
							if token in self.cache:
									return self.cache[token]
							lowerCAmelCase__   = tuple(snake_case__  )
							lowerCAmelCase__   = get_pairs(snake_case__  )

							if not pairs:
									return token

							while True:
									lowerCAmelCase__   = min(snake_case__	,    key=lambda snake_case__  : self.bpe_ranks.get(snake_case__	,    float("""inf"""  )  )  )
									if bigram not in self.bpe_ranks:
											break
									lowerCAmelCase__ ,       lowerCAmelCase__   = bigram
									lowerCAmelCase__   = []
									lowerCAmelCase__   = 0
									while i < len(snake_case__  ):
											try:
													lowerCAmelCase__   = word.index(snake_case__	,    snake_case__  )
											except ValueError:
													new_word.extend(word[i:]  )
													break
											else:
													new_word.extend(word[i:j]  )
													lowerCAmelCase__   = j

											if word[i] == first and i < len(snake_case__  ) - 1 and word[i + 1] == second:
													new_word.append(first + second  )
													i += 2
											else:
													new_word.append(word[i]  )
													i += 1
									lowerCAmelCase__   = tuple(snake_case__  )
									lowerCAmelCase__   = new_word
									if len(snake_case__  ) == 1:
											break
									else:
											lowerCAmelCase__   = get_pairs(snake_case__  )
							lowerCAmelCase__   = """ """.join(snake_case__  )
							lowerCAmelCase__   = word
							return word




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]	,    snake_case__    :  int  ):
							lowerCAmelCase__   = []
							for token in re.findall(self.pat	,    snake_case__  ):
									lowerCAmelCase__   = """""".join(
									    self.byte_encoder[b] for b in token.encode("""utf-8"""  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
									bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case__  ).split(""" """  )  )
							return bpe_tokens




					def     _SCREAMING_SNAKE_CASE    (						self    :  Any	,    snake_case__    :  Any  ):
							return self.encoder.get(snake_case__	,    self.encoder.get(self.unk_token  )  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  Dict	,    snake_case__    :  Any  ):
							return self.decoder.get(snake_case__  )




					def     _SCREAMING_SNAKE_CASE    (						self    :  str	,    snake_case__    :  Tuple  ):
							lowerCAmelCase__   = """""".join(snake_case__  )
							lowerCAmelCase__   = bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""	,    errors=self.errors  )
							return text




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]	,    snake_case__    :  str	,    snake_case__    :  Optional[str] = None  ):
							if not os.path.isdir(snake_case__  ):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
									return
							lowerCAmelCase__   = os.path.join(
							    snake_case__	,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
							lowerCAmelCase__   = os.path.join(
							    snake_case__	,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )

							with open(snake_case__	,    """w"""	,    encoding="""utf-8"""  ) as f:
									f.write(json.dumps(self.encoder	,    indent=2	,    sort_keys=snake_case__	,    ensure_ascii=snake_case__  ) + """\n"""  )

							lowerCAmelCase__   = 0
							with open(snake_case__	,    """w"""	,    encoding="""utf-8"""  ) as writer:
									writer.write("""#version: 0.2\n"""  )
									for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,    key=lambda snake_case__  : kv[1]  ):
											if index != token_index:
													logger.warning(
													    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
													    """ Please check that the tokenizer is not corrupted!"""  )
													lowerCAmelCase__   = token_index
											writer.write(""" """.join(snake_case__  ) + """\n"""  )
											index += 1

							return vocab_file, merge_file




					def     _SCREAMING_SNAKE_CASE    (						self    :  Any	,    snake_case__    :  List[int]	,    snake_case__    :  Optional[List[int]] = None  ):
							if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							lowerCAmelCase__   = [self.cls_token_id]
							lowerCAmelCase__   = [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep




					def     _SCREAMING_SNAKE_CASE    (						self    :  Union[str, Any]	,    snake_case__    :  List[int]	,    snake_case__    :  Optional[List[int]] = None	,    snake_case__    :  bool = False  ):
							if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=snake_case__	,    token_ids_a=snake_case__	,    already_has_special_tokens=snake_case__  )

							if token_ids_a is None:
									return [1] + ([0] * len(snake_case__  )) + [1]
							return [1] + ([0] * len(snake_case__  )) + [1, 1] + ([0] * len(snake_case__  )) + [1]




					def     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]	,    snake_case__    :  List[int]	,    snake_case__    :  Optional[List[int]] = None  ):
							lowerCAmelCase__   = [self.sep_token_id]
							lowerCAmelCase__   = [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]




					def     _SCREAMING_SNAKE_CASE    (						self    :  List[str]	,    snake_case__    :  List[str]	,    snake_case__    :  List[str]=False	,    **snake_case__    :  Any  ):
							lowerCAmelCase__   = kwargs.pop("""add_prefix_space"""	,    self.add_prefix_space  )
							if (is_split_into_words or add_prefix_space) and (len(snake_case__  ) > 0 and not text[0].isspace()):
									lowerCAmelCase__   = """ """ + text
							return (text, kwargs)




					def     _SCREAMING_SNAKE_CASE    (						self    :  Dict	,    snake_case__    :  Union[Dict[str, EncodedInput], BatchEncoding]	,    snake_case__    :  Optional[int] = None	,    snake_case__    :  PaddingStrategy = PaddingStrategy.DO_NOT_PAD	,    snake_case__    :  Optional[int] = None	,    snake_case__    :  Optional[bool] = None	,    ):
							lowerCAmelCase__   = super()._pad(
							    encoded_inputs=snake_case__	,    max_length=snake_case__	,    padding_strategy=snake_case__	,    pad_to_multiple_of=snake_case__	,    return_attention_mask=snake_case__	,    )

							# Load from model defaults
							if return_attention_mask is None:
									lowerCAmelCase__   = """attention_mask""" in self.model_input_names

							if return_attention_mask and "global_attention_mask" in encoded_inputs:
									lowerCAmelCase__   = encoded_inputs[self.model_input_names[0]]
									# `global_attention_mask` need to have the same length as other (sequential) inputs.
									lowerCAmelCase__   = len(encoded_inputs["""global_attention_mask"""]  ) != len(snake_case__  )

									if needs_to_be_padded:
											lowerCAmelCase__   = len(snake_case__  ) - len(encoded_inputs["""global_attention_mask"""]  )

											if self.padding_side == "right":
													# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
													lowerCAmelCase__   = (
													    encoded_inputs["""global_attention_mask"""] + [-1] * difference
													)
											elif self.padding_side == "left":
													lowerCAmelCase__   = [-1] * difference + encoded_inputs[
													    """global_attention_mask"""
													]
											else:
													raise ValueError("""Invalid padding strategy:""" + str(self.padding_side  )  )

							return encoded_inputs





"""simple docstring"""




def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return abs(lowerCamelCase__  ) if a == 0 else greatest_common_divisor(b % a      ,	lowerCamelCase__  )







def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		while y:  # --> when y=0 then loop will terminate and return x as final GCD.
				lowerCAmelCase__ ,       lowerCAmelCase__   = y, x % y
		return abs(lowerCamelCase__  )







def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		try:
				lowerCAmelCase__   = input("""Enter two integers separated by comma (,): """  ).split(""","""  )
				lowerCAmelCase__   = int(nums[0]  )
				lowerCAmelCase__   = int(nums[1]  )
				print(
				    f"""greatest_common_divisor({num_a}, {num_a}) = """
				    f"""{greatest_common_divisor(lowerCamelCase__      ,	lowerCamelCase__  )}"""  )
				print(f"""By iterative gcd({num_a}, {num_a}) = {gcd_by_iterative(lowerCamelCase__      ,	lowerCamelCase__  )}"""  )
		except (IndexError, UnboundLocalError, ValueError):
				print("""Wrong input"""  )


if __name__ == "__main__":
			main()




