



import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase__     = logging.get_logger(__name__)


UpperCAmelCase__     = {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

UpperCAmelCase__     = {
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

UpperCAmelCase__     = "</w>"
UpperCAmelCase__     = "@@ "





def 							A			(  _UpperCAmelCase       :     Optional[Any]					)       ->				Any:







			'''simple docstring'''
			_UpperCAmelCase	 =     set()
			_UpperCAmelCase	 =     word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)					)
						_UpperCAmelCase	 =     char
			return pairs


# Speech2Text2 has no max input length
UpperCAmelCase__     = {"facebook/s2t-wav2vec2-large-en-de": 1024}







class     __lowerCAmelCase					(    A		):
			UpperCamelCase           =  VOCAB_FILES_NAMES
			UpperCamelCase           =  PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase           =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase           =  ['''input_ids''', '''attention_mask''']



			def __init__(		self     :						Tuple				,	A     :						List[Any]				,	A     :						Tuple="<s>"				,	A     :						List[Any]="<pad>"				,	A     :						Optional[Any]="</s>"				,	A     :						Optional[int]="<unk>"				,	A     :						Tuple=False				,	A     :						int=None				,	**A     :						Optional[Any]				,	)     ->					str:



						"""simple docstring"""






						super().__init__(
						    unk_token=A				,	bos_token=A				,	eos_token=A				,	pad_token=A				,	do_lower_case=A				,	**A				,	)

						_UpperCAmelCase	 =     do_lower_case

						with open(A				,	encoding='utf-8') as vocab_handle:
									_UpperCAmelCase	 =     json.load(A)
						_UpperCAmelCase	 =     {v: k for k, v in self.encoder.items()}

						if merges_file is None:
									logger.info(F"No merges files provided. {self.__class__.__name__} can only be used for decoding.")

									_UpperCAmelCase	 =     None
									_UpperCAmelCase	 =     None
						else:
									with open(A				,	encoding='utf-8') as merges_handle:
												_UpperCAmelCase	 =     merges_handle.read().split('\n')[:-1]

									_UpperCAmelCase	 =     [tuple(merge.split()[:2]) for merge in merges]
									_UpperCAmelCase	 =     dict(zip(A				,	range(len(A))))
									_UpperCAmelCase	 =     {}



			@property
			def 					_lowerCamelCase (		self     :						str)     ->					int:



						"""simple docstring"""






						return len(self.decoder)



			def 					_lowerCamelCase (		self     :						List[str])     ->					Dict:



						"""simple docstring"""






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



			def 					_lowerCamelCase (		self     :						str				,	A     :						Optional[Any])     ->					Tuple:



						"""simple docstring"""






						_UpperCAmelCase	 =     tuple(token[:-1]) + (token[-1] + BPE_TOKEN_MERGES,)
						if token in self.cache:
									return self.cache[token]
						_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)
						if word == "\n  " + BPE_TOKEN_MERGES:
									_UpperCAmelCase	 =     '\n' + BPE_TOKEN_MERGES

						if word.endswith(A):
									_UpperCAmelCase	 =     word.replace(A				,	'')

						_UpperCAmelCase	 =     word.replace(' '				,	A)
						_UpperCAmelCase	 =     word
						return word



			def 					_lowerCamelCase (		self     :						Any				,	A     :						Dict)     ->					Union[str, Any]:



						"""simple docstring"""






						if self.bpe_ranks is None:
									raise ValueError(
									    'This tokenizer was instantiated without a `merges.txt` file, so'
									    ' that it can only be used for decoding, not for encoding.'
									    'Make sure to provide `merges.txt` file at instantiation to enable '
									    'encoding.')

						if self.do_lower_case:
									_UpperCAmelCase	 =     text.lower()

						_UpperCAmelCase	 =     text.split()

						_UpperCAmelCase	 =     []
						for token in text:
									if token:
												split_tokens.extend(list(self.bpe(A).split(' ')))

						return split_tokens



			def 					_lowerCamelCase (		self     :						Tuple				,	A     :						str)     ->					int:



						"""simple docstring"""






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



			def 					_lowerCamelCase (		self     :						str				,	A     :						int)     ->					str:



						"""simple docstring"""






						_UpperCAmelCase	 =     self.decoder.get(A				,	self.unk_token)
						return result



			def 					_lowerCamelCase (		self     :						Tuple				,	A     :						List[str])     ->					str:



						"""simple docstring"""






						_UpperCAmelCase	 =     ' '.join(A)

						# make sure @@ tokens are concatenated
						_UpperCAmelCase	 =     ''.join(string.split(A))

						return string



			def 					_lowerCamelCase (		self     :						Any				,	A     :						str				,	A     :						Optional[str] = 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
						if self.bpe_ranks is None:
									return (vocab_file,)

						with open(A				,	'w'				,	encoding='utf-8') as writer:
									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 {merges_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, merges_file)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase__     = {"configuration_yolos": ["YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP", "YolosConfig", "YolosOnnxConfig"]}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__     = ["YolosFeatureExtractor"]
							UpperCAmelCase__     = ["YolosImageProcessor"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__     = [
							    "YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "YolosForObjectDetection",
							    "YolosModel",
							    "YolosPreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_yolos import YolosFeatureExtractor
														from .image_processing_yolos import YolosImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_yolos import (
														    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
														    YolosForObjectDetection,
														    YolosModel,
														    YolosPreTrainedModel,
														)


else:
							import sys

							UpperCAmelCase__     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
