

'''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


UpperCAmelCase					 =	logging.get_logger(__name__)


UpperCAmelCase					 =	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all LED models at https://huggingface.co/models?filter=LED
UpperCAmelCase					 =	{
    '''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''',
    },
}

UpperCAmelCase					 =	{
    '''allenai/led-base-16384''': 1_6384,
}

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






     '''simple docstring'''





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

def 					__UpperCamelCase				(						lowercase__    :	Union[str, Any]			):






     '''simple docstring'''





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







class 	lowerCAmelCase  (   A ):
       lowerCAmelCase_												=			VOCAB_FILES_NAMES
       lowerCAmelCase_												=			PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase_												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase_												=			["input_ids", "attention_mask"]







       def __init__(				self      :			Optional[int]    ,   __lowercase      :			Dict    ,   __lowercase      :			int    ,   __lowercase      :			Optional[int]="replace"    ,   __lowercase      :			Optional[Any]="<s>"    ,   __lowercase      :			List[str]="</s>"    ,   __lowercase      :			Optional[Any]="</s>"    ,   __lowercase      :			Tuple="<s>"    ,   __lowercase      :			Any="<unk>"    ,   __lowercase      :			Optional[Any]="<pad>"    ,   __lowercase      :			Union[str, Any]="<mask>"    ,   __lowercase      :			Union[str, Any]=False    ,   **__lowercase      :			str    ,   ):







            """simple docstring"""







            __lowercase      		=AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   ) if isinstance(__lowercase    ,   __lowercase   ) else bos_token
            __lowercase      		=AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   ) if isinstance(__lowercase    ,   __lowercase   ) else eos_token
            __lowercase      		=AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   ) if isinstance(__lowercase    ,   __lowercase   ) else sep_token
            __lowercase      		=AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   ) if isinstance(__lowercase    ,   __lowercase   ) else cls_token
            __lowercase      		=AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   ) if isinstance(__lowercase    ,   __lowercase   ) else unk_token
            __lowercase      		=AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   ) if isinstance(__lowercase    ,   __lowercase   ) else pad_token

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

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

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

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            __lowercase      		=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       snake_case (				self      :			int   ):







            """simple docstring"""







            return len(self.encoder   )







       def       snake_case (				self      :			Optional[int]   ):







            """simple docstring"""







            return dict(self.encoder    ,   **self.added_tokens_encoder   )







       def       snake_case (				self      :			Dict    ,   __lowercase      :			Tuple   ):







            """simple docstring"""







            if token in self.cache:
                 return self.cache[token]
            __lowercase      		=tuple(__lowercase   )
            __lowercase      		=get_pairs(__lowercase   )

            if not pairs:
                 return token

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

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







       def       snake_case (				self      :			Dict    ,   __lowercase      :			Optional[int]   ):







            """simple docstring"""







            __lowercase      		=[]
            for token in re.findall(self.pat    ,   __lowercase   ):
                 __lowercase      		=''.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(__lowercase   ).split(' '   )   )
            return bpe_tokens







       def       snake_case (				self      :			Any    ,   __lowercase      :			int   ):







            """simple docstring"""







            return self.encoder.get(__lowercase    ,   self.encoder.get(self.unk_token   )   )







       def       snake_case (				self      :			str    ,   __lowercase      :			str   ):







            """simple docstring"""







            return self.decoder.get(__lowercase   )







       def       snake_case (				self      :			List[str]    ,   __lowercase      :			Optional[int]   ):







            """simple docstring"""







            __lowercase      		=''.join(__lowercase   )
            __lowercase      		=bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'    ,   errors=self.errors   )
            return text







       def       snake_case (				self      :			str    ,   __lowercase      :			str    ,   __lowercase      :			Optional[str] = None   ):







            """simple docstring"""







            if not os.path.isdir(__lowercase   ):
                 logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''   )
                 return
            __lowercase      		=os.path.join(
                __lowercase    ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
            __lowercase      		=os.path.join(
                __lowercase    ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']   )

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

            __lowercase      		=0
            with open(__lowercase    ,   '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 __lowercase   : 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!'   )
                           __lowercase      		=token_index
                      writer.write(' '.join(__lowercase   ) + '\n'   )
                      index += 1

            return vocab_file, merge_file







       def       snake_case (				self      :			Optional[Any]    ,   __lowercase      :			List[int]    ,   __lowercase      :			Optional[List[int]] = None   ):







            """simple docstring"""







            if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            __lowercase      		=[self.cls_token_id]
            __lowercase      		=[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep







       def       snake_case (				self      :			Tuple    ,   __lowercase      :			List[int]    ,   __lowercase      :			Optional[List[int]] = None    ,   __lowercase      :			bool = False   ):







            """simple docstring"""







            if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=__lowercase    ,   token_ids_a=__lowercase    ,   already_has_special_tokens=__lowercase   )

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







       def       snake_case (				self      :			List[Any]    ,   __lowercase      :			List[int]    ,   __lowercase      :			Optional[List[int]] = None   ):







            """simple docstring"""







            __lowercase      		=[self.sep_token_id]
            __lowercase      		=[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       snake_case (				self      :			str    ,   __lowercase      :			List[Any]    ,   __lowercase      :			Optional[Any]=False    ,   **__lowercase      :			int   ):







            """simple docstring"""







            __lowercase      		=kwargs.pop('add_prefix_space'    ,   self.add_prefix_space   )
            if (is_split_into_words or add_prefix_space) and (len(__lowercase   ) > 0 and not text[0].isspace()):
                 __lowercase      		=' ' + text
            return (text, kwargs)







       def       snake_case (				self      :			Optional[int]    ,   __lowercase      :			Union[Dict[str, EncodedInput], BatchEncoding]    ,   __lowercase      :			Optional[int] = None    ,   __lowercase      :			PaddingStrategy = PaddingStrategy.DO_NOT_PAD    ,   __lowercase      :			Optional[int] = None    ,   __lowercase      :			Optional[bool] = None    ,   ):







            """simple docstring"""







            __lowercase      		=super()._pad(
                encoded_inputs=__lowercase    ,   max_length=__lowercase    ,   padding_strategy=__lowercase    ,   pad_to_multiple_of=__lowercase    ,   return_attention_mask=__lowercase    ,   )

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

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

                 if needs_to_be_padded:
                      __lowercase      		=len(__lowercase   ) - 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`
                           __lowercase      		=(
                               encoded_inputs['global_attention_mask'] + [-1] * difference
                           )
                      elif self.padding_side == "left":
                           __lowercase      		=[-1] * difference + encoded_inputs[
                               'global_attention_mask'
                           ]
                      else:
                           raise ValueError('Invalid padding strategy:' + str(self.padding_side   )   )

            return encoded_inputs





'''simple docstring'''

import os
from collections.abc import Iterator

def 					__UpperCamelCase				(						lowercase__    :	str = "."			):






     '''simple docstring'''





     for dir_path, dir_names, filenames in os.walk(lowercase__			):
          __lowercase      		=[d for d in dir_names if d != 'scripts' and d[0] not in '._']
          for filename in filenames:
               if filename == "__init__.py":
                    continue
               if os.path.splitext(lowercase__			)[1] in (".py", ".ipynb"):
                    yield os.path.join(lowercase__,       lowercase__			).lstrip('./'			)

def 					__UpperCamelCase				(						lowercase__    :	Optional[Any]			):






     '''simple docstring'''





     return F'''{i * "  "}*''' if i else "\n##"

def 					__UpperCamelCase				(						lowercase__    :	str,       lowercase__    :	str			):






     '''simple docstring'''





     __lowercase      		=old_path.split(os.sep			)
     for i, new_part in enumerate(new_path.split(os.sep			)			):
          if (i + 1 > len(lowercase__			) or old_parts[i] != new_part) and new_part:
               print(F'''{md_prefix(lowercase__			)} {new_part.replace("_",       " "			).title()}'''			)
     return new_path

def 					__UpperCamelCase				(						lowercase__    :	str = "."			):






     '''simple docstring'''





     __lowercase      		=''
     for filepath in sorted(good_file_paths(lowercase__			)			):
          __lowercase		,  __lowercase      		=os.path.split(lowercase__			)
          if filepath != old_path:
               __lowercase      		=print_path(lowercase__,       lowercase__			)
          __lowercase      		=(filepath.count(os.sep			) + 1) if filepath else 0
          __lowercase      		=F'''{filepath}/{filename}'''.replace(' ',       '%20'			)
          __lowercase      		=os.path.splitext(filename.replace('_',       ' '			).title()			)[0]
          print(F'''{md_prefix(lowercase__			)} [{filename}]({url})'''			)


if __name__ == "__main__":
       print_directory_md('''.''')


