
'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase					:    Any           = logging.get_logger(__name__)


lowerCAmelCase					:    Union[str, Any]           = {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

lowerCAmelCase					:    str           = {
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

lowerCAmelCase					:    int           = {
    'allenai/longformer-base-4096': 40_96,
    'allenai/longformer-large-4096': 40_96,
    'allenai/longformer-large-4096-finetuned-triviaqa': 40_96,
    'allenai/longformer-base-4096-extra.pos.embd.only': 40_96,
    'allenai/longformer-large-4096-extra.pos.embd.only': 40_96,
}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 		A_(     ):
							UpperCamelCase   			=     (
							    list(range(ord('!')		,     ord('~') + 1)) + list(range(ord('¡')		,     ord('¬') + 1)) + list(range(ord('®')		,     ord('ÿ') + 1))
							)
							UpperCamelCase   			=     bs[:]
							UpperCamelCase   			=     0
							for b in range(2**8):
														if b not in bs:
																					bs.append(A)
																					cs.append(2**8 + n)
																					n += 1
							UpperCamelCase   			=     [chr(A) for n in cs]
							return dict(zip(A		,     A))







def 		A_(     A						:		str):
							UpperCamelCase   			=     set()
							UpperCamelCase   			=     word[0]
							for char in word[1:]:
														pairs.add((prev_char, char))
														UpperCamelCase   			=     char
							return pairs





class 			SCREAMING_SNAKE_CASE__      (     snake_case_):
				lowerCAmelCase_     			=							VOCAB_FILES_NAMES
				lowerCAmelCase_     			=							PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase_     			=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase_     			=							["""input_ids""", """attention_mask"""]







				def __init__(       self						,				A_						,				A_						,				A_="replace"						,				A_="<s>"						,				A_="</s>"						,				A_="</s>"						,				A_="<s>"						,				A_="<unk>"						,				A_="<pad>"						,				A_="<mask>"						,				A_=False						,				**A_						,				)->		List[str]:







											'''simple docstring'''






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

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

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

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

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







				@property
				def 						UpperCAmelCase_    (       self     )->		Optional[Any]:







											'''simple docstring'''






											return len(self.encoder     )







				def 						UpperCAmelCase_    (       self     )->		Tuple:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_     )->		List[str]:







											'''simple docstring'''






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

											if not pairs:
																		return token

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

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







				def 						UpperCAmelCase_    (       self						,				A_     )->		Dict:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_     )->		List[Any]:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_     )->		Dict:







											'''simple docstring'''






											return self.decoder.get(A_     )







				def 						UpperCAmelCase_    (       self						,				A_     )->		List[Any]:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_						,				A_ = None     )->		Tuple[str]:







											'''simple docstring'''






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

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

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

											return vocab_file, merge_file







				def 						UpperCAmelCase_    (       self						,				A_						,				A_ = None     )->		List[int]:







											'''simple docstring'''






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







				def 						UpperCAmelCase_    (       self						,				A_						,				A_ = None						,				A_ = False     )->		List[int]:







											'''simple docstring'''






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

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







				def 						UpperCAmelCase_    (       self						,				A_						,				A_ = None     )->		List[int]:







											'''simple docstring'''






											UpperCamelCase   			=     [self.sep_token_id]
											UpperCamelCase   			=     [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 						UpperCAmelCase_    (       self						,				A_						,				A_=False						,				**A_     )->		int:







											'''simple docstring'''






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






'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate


@dataclass(frozen=snake_case_)
class 			SCREAMING_SNAKE_CASE__      (     snake_case_):
				lowerCAmelCase_     			=							field(default="""language-modeling"""							,       metadata={"""include_in_asdict_even_if_is_default""": True})

				lowerCAmelCase_     			=							Features({"""text""": Value("""string""")})
				lowerCAmelCase_     			=							Features({})
				lowerCAmelCase_     			=							"text"







				@property
				def 						UpperCAmelCase_    (       self     )->		Dict[str, str]:







											'''simple docstring'''






											return {self.text_column: "text"}




