
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


SCREAMING_SNAKE_CASE__							=				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__							=				{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE__							=				{
    """vocab_file""": {
        """junnyu/roformer_chinese_small""": """https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt""",
        """junnyu/roformer_chinese_base""": """https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt""",
        """junnyu/roformer_chinese_char_small""": (
            """https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_chinese_char_base""": (
            """https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_small_discriminator""": (
            """https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt"""
        ),
        """junnyu/roformer_small_generator""": (
            """https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt"""
        ),
    }
}

SCREAMING_SNAKE_CASE__							=				{
    """junnyu/roformer_chinese_small""": 1536,
    """junnyu/roformer_chinese_base""": 1536,
    """junnyu/roformer_chinese_char_small""": 512,
    """junnyu/roformer_chinese_char_base""": 512,
    """junnyu/roformer_small_discriminator""": 128,
    """junnyu/roformer_small_generator""": 128,
}


SCREAMING_SNAKE_CASE__							=				{
    """junnyu/roformer_chinese_small""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_base""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_char_small""": {"""do_lower_case""": True},
    """junnyu/roformer_chinese_char_base""": {"""do_lower_case""": True},
    """junnyu/roformer_small_discriminator""": {"""do_lower_case""": True},
    """junnyu/roformer_small_generator""": {"""do_lower_case""": True},
}
class 	A__   (						UpperCAmelCase__				):
							lowerCAmelCase__		:						List[str]    			=							VOCAB_FILES_NAMES
							lowerCAmelCase__		:						Dict    			=							PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase__		:						Optional[int]    			=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase__		:						Optional[int]    			=							PRETRAINED_INIT_CONFIGURATION
							lowerCAmelCase__		:						Optional[int]    			=							RoFormerTokenizer





							def __init__( self  :   str     , _UpperCAmelCase  :   Tuple=None     , _UpperCAmelCase  :   List[Any]=None     , _UpperCAmelCase  :   Union[str, Any]=True     , _UpperCAmelCase  :   List[str]="[UNK]"     , _UpperCAmelCase  :   Tuple="[SEP]"     , _UpperCAmelCase  :   int="[PAD]"     , _UpperCAmelCase  :   int="[CLS]"     , _UpperCAmelCase  :   Any="[MASK]"     , _UpperCAmelCase  :   Any=True     , _UpperCAmelCase  :   int=None     , **_UpperCAmelCase  :   Tuple     , )						->		List[str]:



											"""simple docstring"""


											super().__init__(
											    lowerCamelCase__     , tokenizer_file=lowerCamelCase__     , do_lower_case=lowerCamelCase__     , unk_token=lowerCamelCase__     , sep_token=lowerCamelCase__     , pad_token=lowerCamelCase__     , cls_token=lowerCamelCase__     , mask_token=lowerCamelCase__     , tokenize_chinese_chars=lowerCamelCase__     , strip_accents=lowerCamelCase__     , **lowerCamelCase__     , )

											__lowercase								=					json.loads(self.backend_tokenizer.normalizer.__getstate__()				)
											if (
											    pre_tok_state.get('lowercase'     , lowerCamelCase__				) != do_lower_case
											    or pre_tok_state.get('strip_accents'     , lowerCamelCase__				) != strip_accents
											):
															__lowercase								=					getattr(lowerCamelCase__     , pre_tok_state.pop('type'				)				)
															__lowercase								=					do_lower_case
															__lowercase								=					strip_accents
															__lowercase								=					pre_tok_class(**lowerCamelCase__				)

											__lowercase								=					do_lower_case





							def __getstate__( self  :   str				)						->		List[Any]:



											"""simple docstring"""


											__lowercase								=					self.__dict__.copy()
											__lowercase								=					BertPreTokenizer()
											return state





							def __setstate__( self  :   Union[str, Any]     , _UpperCAmelCase  :   Any				)						->		int:



											"""simple docstring"""


											__lowercase								=					d
											__lowercase								=					self.__dict__["_tokenizer"].get_vocab()
											__lowercase								=					PreTokenizer.custom(JiebaPreTokenizer(lowerCamelCase__				)				)





							def 			a__ ( self  :   List[str]     , _UpperCAmelCase  :   List[str]     , _UpperCAmelCase  :   int=None				)						->		str:



											"""simple docstring"""


											__lowercase								=					[self.cls_token_id] + token_ids_a + [self.sep_token_id]

											if token_ids_a:
															output += token_ids_a + [self.sep_token_id]

											return output





							def 			a__ ( self  :   List[Any]     , _UpperCAmelCase  :   List[int]     , _UpperCAmelCase  :   Optional[List[int]] = None				)						->		List[int]:



											"""simple docstring"""


											__lowercase								=					[self.sep_token_id]
											__lowercase								=					[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				) * [0] + len(token_ids_a + sep				) * [1]





							def 			a__ ( self  :   Optional[int]     , _UpperCAmelCase  :   str     , _UpperCAmelCase  :   Optional[str] = None				)						->		Tuple[str]:



											"""simple docstring"""


											__lowercase								=					self._tokenizer.model.save(lowerCamelCase__     , name=lowerCamelCase__				)
											return tuple(lowerCamelCase__				)





							def 			a__ ( self  :   int     , _UpperCAmelCase  :   Any     , _UpperCAmelCase  :   Dict=None     , _UpperCAmelCase  :   Union[str, Any]=None     , _UpperCAmelCase  :   List[str]=False     , **_UpperCAmelCase  :   Optional[Any]     , )						->		Union[str, Any]:



											"""simple docstring"""


											__lowercase								=					BertPreTokenizer()
											return super().save_pretrained(lowerCamelCase__     , lowerCamelCase__     , lowerCamelCase__     , lowerCamelCase__     , **lowerCamelCase__				)









'''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.'
)



