

'''simple docstring'''


import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
					import jieba

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


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

lowerCAmelCase__						:       Optional[int]										=						{"""vocab_file""": """vocab.txt"""}

lowerCAmelCase__						:       Optional[int]										=						{
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

lowerCAmelCase__						:       Tuple										=						{
    """openbmb/cpm-ant-10b""": 1024,
}




def 	_a       (				__lowerCAmelCase		:      List[Any]     ):

		"""simple docstring"""

		snake_case__						:       List[Any]       						=  collections.OrderedDict()
		with open(__SCREAMING_SNAKE_CASE   ,							'''r'''   ,							encoding='''utf-8'''     ) as reader:
				snake_case__						:       Any       						=  reader.readlines()
		for index, token in enumerate(__SCREAMING_SNAKE_CASE     ):
				snake_case__						:       Tuple       						=  token.rstrip('''\n'''     )
				snake_case__						:       Tuple       						=  index
		return vocab




class     a			(				lowercase__       ):






						"""simple docstring"""




						def __init__(							self					:      Dict			,			snake_case_					:      List[Any]			,			snake_case_					:      Union[str, Any]="<unk>"			,			snake_case_					:      str=2_0_0  ):



								'''simple docstring'''



								snake_case__						:       Tuple       						=  vocab
								snake_case__						:       int       						=  unk_token
								snake_case__						:       Any       						=  max_input_chars_per_word







						def       __magic_name__							(							self					:      List[Any]			,			snake_case_					:      Optional[Any]  ):



								'''simple docstring'''



								snake_case__						:       Union[str, Any]       						=  list(snake_case_  )
								if len(snake_case_  ) > self.max_input_chars_per_word:
										return [self.unk_token]

								snake_case__						:       Any       						=  0
								snake_case__						:       str       						=  []
								while start < len(snake_case_  ):
										snake_case__						:       Optional[Any]       						=  len(snake_case_  )
										snake_case__						:       Any       						=  None
										while start < end:
												snake_case__						:       Any       						=  ''''''.join(chars[start:end]  )
												if substr in self.vocab:
														snake_case__						:       Optional[Any]       						=  substr
														break
												end -= 1
										if cur_substr is None:
												sub_tokens.append(self.unk_token  )
												start += 1
										else:
												sub_tokens.append(snake_case_  )
												snake_case__						:       Union[str, Any]       						=  end

								return sub_tokens





class     a			(				lowercase__       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    VOCAB_FILES_NAMES
						__UpperCAmelCase			     =    PRETRAINED_VOCAB_FILES_MAP
						__UpperCAmelCase			     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__UpperCAmelCase			     =    ['input_ids', 'attention_mask']
						__UpperCAmelCase			     =    False







						def __init__(							self					:      Dict			,			snake_case_					:      Any			,			snake_case_					:      List[str]="<d>"			,			snake_case_					:      List[Any]="</d>"			,			snake_case_					:      Union[str, Any]="<s>"			,			snake_case_					:      Optional[Any]="</s>"			,			snake_case_					:      List[Any]="<pad>"			,			snake_case_					:      int="<unk>"			,			snake_case_					:      int="</n>"			,			snake_case_					:      str="</_>"			,			snake_case_					:      Optional[Any]="left"			,			**snake_case_					:      Any			,			):



								'''simple docstring'''



								requires_backends(self			,			['''jieba''']  )
								super().__init__(
								    bod_token=snake_case_			,			eod_token=snake_case_			,			bos_token=snake_case_			,			eos_token=snake_case_			,			pad_token=snake_case_			,			unk_token=snake_case_			,			line_token=snake_case_			,			space_token=snake_case_			,			padding_side=snake_case_			,			**snake_case_			,			)
								snake_case__						:       Optional[Any]       						=  bod_token
								snake_case__						:       int       						=  eod_token
								snake_case__						:       str       						=  load_vocab(snake_case_  )
								snake_case__						:       Optional[Any]       						=  self.encoder[space_token]
								snake_case__						:       str       						=  self.encoder[line_token]

								del self.encoder[space_token]
								del self.encoder[line_token]

								snake_case__						:       List[str]       						=  collections.OrderedDict(sorted(self.encoder.items()			,			key=lambda snake_case_  : x[1]  )  )
								snake_case__						:       Any       						=  {v: k for k, v in self.encoder.items()}

								snake_case__						:       Optional[Any]       						=  WordpieceTokenizer(vocab=self.encoder			,			unk_token=self.unk_token  )







						@property
						def       __magic_name__							(							self					:      Any  ):



								'''simple docstring'''



								return self.encoder[self.bod_token]







						@property
						def       __magic_name__							(							self					:      Dict  ):



								'''simple docstring'''



								return self.encoder[self.eod_token]







						@property
						def       __magic_name__							(							self					:      Dict  ):



								'''simple docstring'''



								return self.encoder["\n"]







						@property
						def       __magic_name__							(							self					:      List[Any]  ):



								'''simple docstring'''



								return len(self.encoder  )







						def       __magic_name__							(							self					:      Tuple  ):



								'''simple docstring'''



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







						def       __magic_name__							(							self					:      Any			,			snake_case_					:      List[Any]  ):



								'''simple docstring'''



								snake_case__						:       Union[str, Any]       						=  []
								for x in jieba.cut(snake_case_			,			cut_all=snake_case_  ):
										output_tokens.extend(self.wordpiece_tokenizer.tokenize(snake_case_  )  )
								return output_tokens







						def       __magic_name__							(							self					:      str			,			snake_case_					:      Optional[int]			,			**snake_case_					:      int  ):



								'''simple docstring'''



								snake_case__						:       str       						=  [i for i in token_ids if i >= 0]
								snake_case__						:       Dict       						=  [
								    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
								]
								return super()._decode(snake_case_			,			**snake_case_  )







						def       __magic_name__							(							self					:      Any			,			snake_case_					:      int  ):



								'''simple docstring'''



								return token in self.encoder







						def       __magic_name__							(							self					:      List[str]			,			snake_case_					:      Tuple  ):



								'''simple docstring'''



								return "".join(snake_case_  )







						def       __magic_name__							(							self					:      Optional[int]			,			snake_case_					:      str  ):



								'''simple docstring'''



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







						def       __magic_name__							(							self					:      Tuple			,			snake_case_					:      int  ):



								'''simple docstring'''



								return self.decoder.get(snake_case_			,			self.unk_token  )







						def       __magic_name__							(							self					:      List[Any]			,			snake_case_					:      Dict			,			snake_case_					:      Tuple = None  ):



								'''simple docstring'''



								if os.path.isdir(snake_case_  ):
										snake_case__						:       Any       						=  os.path.join(
										    snake_case_			,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']  )
								else:
										snake_case__						:       List[Any]       						=  (filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
								snake_case__						:       Optional[int]       						=  0
								if " " in self.encoder:
										snake_case__						:       int       						=  self.encoder[''' ''']
										del self.encoder[" "]
								if "\n" in self.encoder:
										snake_case__						:       List[Any]       						=  self.encoder['''\n''']
										del self.encoder["\n"]
								snake_case__						:       Optional[int]       						=  collections.OrderedDict(sorted(self.encoder.items()			,			key=lambda snake_case_  : x[1]  )  )
								with open(snake_case_			,			'''w'''			,			encoding='''utf-8'''  ) as writer:
										for token, token_index in self.encoder.items():
												if index != token_index:
														logger.warning(
														    F"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
														    ''' Please check that the vocabulary is not corrupted!'''  )
														snake_case__						:       Union[str, Any]       						=  token_index
												writer.write(token + '''\n'''  )
												index += 1
								return (vocab_file,)







						def       __magic_name__							(							self					:      Dict			,			snake_case_					:      Optional[Any]			,			snake_case_					:      Union[str, Any] = None  ):



								'''simple docstring'''



								if token_ids_a is None:
										return [self.bos_token_id] + token_ids_a
								return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a







						def       __magic_name__							(							self					:      Union[str, Any]			,			snake_case_					:      List[Any]			,			snake_case_					:      List[str] = None			,			snake_case_					:      Optional[Any] = False  ):



								'''simple docstring'''



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

								if token_ids_a is not None:
										return [1] + ([0] * len(snake_case_  )) + [1] + ([0] * len(snake_case_  ))
								return [1] + ([0] * len(snake_case_  ))






'''simple docstring'''


import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    """The `image_to_image.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionImg2ImgPipeline` instead."""
)



