



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


UpperCamelCase_	       =   logging.get_logger(__name__)

UpperCamelCase_	       =   {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

UpperCamelCase_	       =   {
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
}

UpperCamelCase_	       =   {
    "roberta-base": 512,
    "roberta-large": 512,
    "roberta-large-mnli": 512,
    "distilroberta-base": 512,
    "roberta-base-openai-detector": 512,
    "roberta-large-openai-detector": 512,
}







@lru_cache()
def 				A			(		)       ->       Union[str, Any]:



						'''simple docstring'''






						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(__UpperCAmelCase	)
																		cs.append(2**8 + n	)
																		n += 1
						UpperCAmelCase_     							=     [chr(__UpperCAmelCase	) for n in cs]
						return dict(zip(__UpperCAmelCase							,					__UpperCAmelCase	)	)







def 				A			(		__UpperCAmelCase	)       ->       int:



						'''simple docstring'''






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







class 							a_  (		_snake_case				):
						UpperCamelCase__      :						List[str]				       =VOCAB_FILES_NAMES
						UpperCamelCase__      :						Optional[int]				       =PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase__      :						Optional[Any]				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase__      :						int				       =["input_ids", "attention_mask"]

						def __init__(    self	:Tuple   ,						_lowercase	:str   ,						_lowercase	:int   ,						_lowercase	:Optional[Any]="replace"   ,						_lowercase	:Any="<s>"   ,						_lowercase	:Optional[int]="</s>"   ,						_lowercase	:Dict="</s>"   ,						_lowercase	:List[str]="<s>"   ,						_lowercase	:str="<unk>"   ,						_lowercase	:int="<pad>"   ,						_lowercase	:str="<mask>"   ,						_lowercase	:Optional[Any]=False   ,						**_lowercase	:List[Any]   ,						)		->					Any:
												UpperCAmelCase_     							=     AddedToken(_lowercase   ,						lstrip=_lowercase   ,						rstrip=_lowercase) if isinstance(_lowercase   ,						_lowercase) else bos_token
												UpperCAmelCase_     							=     AddedToken(_lowercase   ,						lstrip=_lowercase   ,						rstrip=_lowercase) if isinstance(_lowercase   ,						_lowercase) else eos_token
												UpperCAmelCase_     							=     AddedToken(_lowercase   ,						lstrip=_lowercase   ,						rstrip=_lowercase) if isinstance(_lowercase   ,						_lowercase) else sep_token
												UpperCAmelCase_     							=     AddedToken(_lowercase   ,						lstrip=_lowercase   ,						rstrip=_lowercase) if isinstance(_lowercase   ,						_lowercase) else cls_token
												UpperCAmelCase_     							=     AddedToken(_lowercase   ,						lstrip=_lowercase   ,						rstrip=_lowercase) if isinstance(_lowercase   ,						_lowercase) else unk_token
												UpperCAmelCase_     							=     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
												UpperCAmelCase_     							=     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:
																		UpperCAmelCase_     							=     json.load(_lowercase)
												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(_lowercase   ,						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(_lowercase   ,						range(len(_lowercase))))
												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 	__a       (    self	:str)		->					Optional[int]:
												return len(self.encoder)

						def 	__a       (    self	:str)		->					Optional[Any]:
												return dict(self.encoder   ,						**self.added_tokens_encoder)

						def 	__a       (    self	:Optional[Any]   ,						_lowercase	:Union[str, Any])		->					List[str]:
												if token in self.cache:
																		return self.cache[token]
												UpperCAmelCase_     							=     tuple(_lowercase)
												UpperCAmelCase_     							=     get_pairs(_lowercase)

												if not pairs:
																		return token

												while True:
																		UpperCAmelCase_     							=     min(_lowercase   ,						key=lambda _lowercase: self.bpe_ranks.get(_lowercase   ,						float('''inf''')))
																		if bigram not in self.bpe_ranks:
																								break
																		UpperCAmelCase_							,      UpperCAmelCase_     							=     bigram
																		UpperCAmelCase_     							=     []
																		UpperCAmelCase_     							=     0
																		while i < len(_lowercase):
																								try:
																														UpperCAmelCase_     							=     word.index(_lowercase   ,						_lowercase)
																								except ValueError:
																														new_word.extend(word[i:])
																														break
																								else:
																														new_word.extend(word[i:j])
																														UpperCAmelCase_     							=     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
																		UpperCAmelCase_     							=     tuple(_lowercase)
																		UpperCAmelCase_     							=     new_word
																		if len(_lowercase) == 1:
																								break
																		else:
																								UpperCAmelCase_     							=     get_pairs(_lowercase)
												UpperCAmelCase_     							=     ''' '''.join(_lowercase)
												UpperCAmelCase_     							=     word
												return word

						def 	__a       (    self	:List[Any]   ,						_lowercase	:str)		->					Optional[int]:
												UpperCAmelCase_     							=     []
												for token in re.findall(self.pat   ,						_lowercase):
																		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(_lowercase).split(''' '''))
												return bpe_tokens

						def 	__a       (    self	:int   ,						_lowercase	:List[Any])		->					Any:
												return self.encoder.get(_lowercase   ,						self.encoder.get(self.unk_token))

						def 	__a       (    self	:List[Any]   ,						_lowercase	:Any)		->					List[str]:
												return self.decoder.get(_lowercase)

						def 	__a       (    self	:List[Any]   ,						_lowercase	:Union[str, Any])		->					Tuple:
												UpperCAmelCase_     							=     ''''''.join(_lowercase)
												UpperCAmelCase_     							=     bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''   ,						errors=self.errors)
												return text

						def 	__a       (    self	:Union[str, Any]   ,						_lowercase	:str   ,						_lowercase	:Optional[str] = None)		->					Tuple[str]:
												if not os.path.isdir(_lowercase):
																		logger.error(f"Vocabulary path ({save_directory}) should be a directory")
																		return
												UpperCAmelCase_     							=     os.path.join(
												    _lowercase   ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
												UpperCAmelCase_     							=     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''')

												UpperCAmelCase_     							=     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!''')
																														UpperCAmelCase_     							=     token_index
																								writer.write(''' '''.join(_lowercase) + '''\n''')
																								index += 1

												return vocab_file, merge_file

						def 	__a       (    self	:str   ,						_lowercase	:List[int]   ,						_lowercase	:Optional[List[int]] = None)		->					List[int]:
												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 	__a       (    self	:Any   ,						_lowercase	:List[int]   ,						_lowercase	:Optional[List[int]] = None   ,						_lowercase	:bool = False)		->					List[int]:
												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 	__a       (    self	:List[Any]   ,						_lowercase	:List[int]   ,						_lowercase	:Optional[List[int]] = None)		->					List[int]:
												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 	__a       (    self	:Tuple   ,						_lowercase	:str   ,						_lowercase	:Optional[int]=False   ,						**_lowercase	:Optional[Any])		->					Tuple:
												UpperCAmelCase_     							=     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()):
																		UpperCAmelCase_     							=     ''' ''' + text
												return (text, kwargs)










from .chunk_utils import chunk_layer
from .data_transforms import make_atomaa_masks
from .feats import atomaa_to_atomaa, frames_and_literature_positions_to_atomaa_pos, torsion_angles_to_frames
from .loss import compute_predicted_aligned_error, compute_tm
from .protein import Protein as OFProtein
from .protein import to_pdb
from .rigid_utils import Rigid, Rotation
from .tensor_utils import dict_multimap, flatten_final_dims, permute_final_dims





