



"""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


_lowercase : Union[str, Any]      						=						logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
_lowercase : int      						=						{
    "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",
    },
}

_lowercase : str      						=						{
    "allenai/led-base-16384": 1_6_3_8_4,
}






@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def      snake_case__   (		):
			"""simple docstring"""
			lowerCamelCase__		:		List[str]			=(
			    list(range(ord('''!'''	)							,		ord('''~'''	) + 1	)	) + list(range(ord('''¡'''	)							,		ord('''¬'''	) + 1	)	) + list(range(ord('''®'''	)							,		ord('''ÿ'''	) + 1	)	)
			)
			lowerCamelCase__		:		Optional[Any]			=bs[:]
			lowerCamelCase__		:		Optional[int]			=0
			for b in range(2**8	):
						if b not in bs:
									bs.append(__lowerCamelCase	)
									cs.append(2**8 + n	)
									n += 1
			lowerCamelCase__		:		List[str]			=[chr(__lowerCamelCase	) for n in cs]
			return dict(zip(__lowerCamelCase							,		__lowerCamelCase	)	)






def      snake_case__   (		__lowerCamelCase				:    List[Any]	):
			"""simple docstring"""
			lowerCamelCase__		:		Tuple			=set()
			lowerCamelCase__		:		List[str]			=word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)	)
						lowerCamelCase__		:		int			=char
			return pairs

class        __SCREAMING_SNAKE_CASE	(      lowerCAmelCase_   ):


					'''simple docstring'''





					_a   			=							VOCAB_FILES_NAMES
					_a   			=							PRETRAINED_VOCAB_FILES_MAP
					_a   			=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_a   			=							['input_ids', 'attention_mask']



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

								# Mask token behave like a normal word, i.e. include the space before it
								lowerCamelCase__		:		Optional[Any]			=AddedToken(lowerCamelCase,  lstrip=lowerCamelCase,  rstrip=lowerCamelCase     ) if isinstance(lowerCamelCase,  lowerCamelCase     ) else mask_token

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

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

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								lowerCamelCase__		:		Tuple			=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							:  Tuple     )->					int:
								return len(self.encoder     )



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



					def 		snake_case       (       self							:  List[str],  lowerCamelCase							:  Dict     )->					str:
								if token in self.cache:
											return self.cache[token]
								lowerCamelCase__		:		Tuple			=tuple(lowerCamelCase     )
								lowerCamelCase__		:		int			=get_pairs(lowerCamelCase     )

								if not pairs:
											return token

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

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



					def 		snake_case       (       self							:  Optional[int],  lowerCamelCase							:  Tuple     )->					Any:
								lowerCamelCase__		:		Optional[int]			=[]
								for token in re.findall(self.pat,  lowerCamelCase     ):
											lowerCamelCase__		:		List[str]			=''''''.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(lowerCamelCase     ).split(''' '''     )     )
								return bpe_tokens



					def 		snake_case       (       self							:  Optional[Any],  lowerCamelCase							:  List[str]     )->					List[Any]:
								return self.encoder.get(lowerCamelCase,  self.encoder.get(self.unk_token     )     )



					def 		snake_case       (       self							:  Tuple,  lowerCamelCase							:  int     )->					List[Any]:
								return self.decoder.get(lowerCamelCase     )



					def 		snake_case       (       self							:  Dict,  lowerCamelCase							:  List[str]     )->					int:
								lowerCamelCase__		:		List[str]			=''''''.join(lowerCamelCase     )
								lowerCamelCase__		:		Optional[int]			=bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8''',  errors=self.errors     )
								return text



					def 		snake_case       (       self							:  Optional[Any],  lowerCamelCase							:  str,  lowerCamelCase							:  Optional[str] = None     )->					Tuple[str]:
								if not os.path.isdir(lowerCamelCase     ):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''     )
											return
								lowerCamelCase__		:		int			=os.path.join(
								    lowerCamelCase,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
								lowerCamelCase__		:		int			=os.path.join(
								    lowerCamelCase,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']     )

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

								lowerCamelCase__		:		int			=0
								with open(lowerCamelCase,  '''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 lowerCamelCase     : 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__		:		Dict			=token_index
														writer.write(''' '''.join(lowerCamelCase     ) + '''\n'''     )
														index += 1

								return vocab_file, merge_file



					def 		snake_case       (       self							:  Any,  lowerCamelCase							:  List[int],  lowerCamelCase							:  Optional[List[int]] = None     )->					List[int]:
								if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								lowerCamelCase__		:		List[Any]			=[self.cls_token_id]
								lowerCamelCase__		:		str			=[self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep



					def 		snake_case       (       self							:  Dict,  lowerCamelCase							:  List[int],  lowerCamelCase							:  Optional[List[int]] = None,  lowerCamelCase							:  bool = False     )->					List[int]:
								if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowerCamelCase,  token_ids_a=lowerCamelCase,  already_has_special_tokens=lowerCamelCase     )

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



					def 		snake_case       (       self							:  List[str],  lowerCamelCase							:  List[int],  lowerCamelCase							:  Optional[List[int]] = None     )->					List[int]:
								lowerCamelCase__		:		Union[str, Any]			=[self.sep_token_id]
								lowerCamelCase__		:		Dict			=[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							:  Dict,  lowerCamelCase							:  Optional[Any],  lowerCamelCase							:  List[str]=False,  **lowerCamelCase							:  Dict     )->					Dict:
								lowerCamelCase__		:		Any			=kwargs.pop('''add_prefix_space''',  self.add_prefix_space     )
								if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase     ) > 0 and not text[0].isspace()):
											lowerCamelCase__		:		List[str]			=''' ''' + text
								return (text, kwargs)




					def 		snake_case       (       self							:  Dict,  lowerCamelCase							:  Union[Dict[str, EncodedInput], BatchEncoding],  lowerCamelCase							:  Optional[int] = None,  lowerCamelCase							:  PaddingStrategy = PaddingStrategy.DO_NOT_PAD,  lowerCamelCase							:  Optional[int] = None,  lowerCamelCase							:  Optional[bool] = None,  )->					dict:
								lowerCamelCase__		:		Optional[Any]			=super()._pad(
								    encoded_inputs=lowerCamelCase,  max_length=lowerCamelCase,  padding_strategy=lowerCamelCase,  pad_to_multiple_of=lowerCamelCase,  return_attention_mask=lowerCamelCase,  )

								# Load from model defaults
								if return_attention_mask is None:
											lowerCamelCase__		:		Optional[Any]			='''attention_mask''' in self.model_input_names

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

											if needs_to_be_padded:
														lowerCamelCase__		:		Optional[int]			=len(lowerCamelCase     ) - 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__		:		Dict			=(
																	    encoded_inputs['''global_attention_mask'''] + [-1] * difference
																	)
														elif self.padding_side == "left":
																	lowerCamelCase__		:		Any			=[-1] * difference + encoded_inputs[
																	    '''global_attention_mask'''
																	]
														else:
																	raise ValueError('''Invalid padding strategy:''' + str(self.padding_side     )     )

								return encoded_inputs









"""simple docstring"""






from __future__ import annotations

_lowercase : Dict      						=						1.6_021E-19  # units = C






def      snake_case__   (		__lowerCamelCase				:    float							,		__lowerCamelCase				:    float							,		__lowerCamelCase				:    float							,		):
			"""simple docstring"""
			if (conductivity, electron_conc, mobility).count(0	) != 1:
						raise ValueError('''You cannot supply more or less than 2 values'''	)
			elif conductivity < 0:
						raise ValueError('''Conductivity cannot be negative'''	)
			elif electron_conc < 0:
						raise ValueError('''Electron concentration cannot be negative'''	)
			elif mobility < 0:
						raise ValueError('''mobility cannot be negative'''	)
			elif conductivity == 0:
						return (
						    "conductivity",
						    mobility * electron_conc * ELECTRON_CHARGE,
						)
			elif electron_conc == 0:
						return (
						    "electron_conc",
						    conductivity / (mobility * ELECTRON_CHARGE),
						)
			else:
						return (
						    "mobility",
						    conductivity / (electron_conc * ELECTRON_CHARGE),
						)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




