



"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


UpperCAmelCase__  		=						logging.get_logger(__name__)

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

UpperCAmelCase__  		=						{
    """vocab_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt""",
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-german-cased""": (
            """https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCAmelCase__  		=						{
    """distilbert-base-uncased""": 5_1_2,
    """distilbert-base-uncased-distilled-squad""": 5_1_2,
    """distilbert-base-cased""": 5_1_2,
    """distilbert-base-cased-distilled-squad""": 5_1_2,
    """distilbert-base-german-cased""": 5_1_2,
    """distilbert-base-multilingual-cased""": 5_1_2,
}


UpperCAmelCase__  		=						{
    """distilbert-base-uncased""": {"""do_lower_case""": True},
    """distilbert-base-uncased-distilled-squad""": {"""do_lower_case""": True},
    """distilbert-base-cased""": {"""do_lower_case""": False},
    """distilbert-base-cased-distilled-squad""": {"""do_lower_case""": False},
    """distilbert-base-german-cased""": {"""do_lower_case""": False},
    """distilbert-base-multilingual-cased""": {"""do_lower_case""": False},
}


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  Tuple     							=							VOCAB_FILES_NAMES
    _snake_case     :  Optional[int]     							=							PRETRAINED_VOCAB_FILES_MAP
    _snake_case     :  List[str]     							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _snake_case     :  List[Any]     							=							PRETRAINED_INIT_CONFIGURATION
    _snake_case     :  Union[str, Any]     							=							['input_ids', 'attention_mask']
    _snake_case     :  int     							=							DistilBertTokenizer


    def __init__(					self	:  Dict   ,				__lowerCAmelCase	:  Tuple=None   ,				__lowerCAmelCase	:  Tuple=None   ,				__lowerCAmelCase	:  Dict=True   ,				__lowerCAmelCase	:  Dict="[UNK]"   ,				__lowerCAmelCase	:  str="[SEP]"   ,				__lowerCAmelCase	:  Union[str, Any]="[PAD]"   ,				__lowerCAmelCase	:  Any="[CLS]"   ,				__lowerCAmelCase	:  Optional[int]="[MASK]"   ,				__lowerCAmelCase	:  Optional[int]=True   ,				__lowerCAmelCase	:  Tuple=None   ,				**__lowerCAmelCase	:  int   ,				):
      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   ,				)

      _UpperCAmelCase						 =      json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
      if (
          normalizer_state.get("""lowercase"""   ,				__lowerCAmelCase					) != do_lower_case
          or normalizer_state.get("""strip_accents"""   ,				__lowerCAmelCase					) != strip_accents
          or normalizer_state.get("""handle_chinese_chars"""   ,				__lowerCAmelCase					) != tokenize_chinese_chars
      ):
        _UpperCAmelCase						 =      getattr(__lowerCAmelCase   ,				normalizer_state.pop("""type"""					)					)
        _UpperCAmelCase						 =      do_lower_case
        _UpperCAmelCase						 =      strip_accents
        _UpperCAmelCase						 =      tokenize_chinese_chars
        _UpperCAmelCase						 =      normalizer_class(**__lowerCAmelCase					)

      _UpperCAmelCase						 =      do_lower_case


    def      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  Tuple   ,				__lowerCAmelCase	:  List[Any]=None					):
      _UpperCAmelCase						 =      [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      lowerCAmelCase_  (					self	:  Tuple   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None					):
      _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					) * [0] + len(token_ids_a + sep					) * [1]


    def      lowerCAmelCase_  (					self	:  Any   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  Optional[str] = None					):
      _UpperCAmelCase						 =      self._tokenizer.model.save(__lowerCAmelCase   ,				name=__lowerCAmelCase					)
      return tuple(__lowerCAmelCase					)

"""simple docstring"""


import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
    UpperCAmelCase__  		=						argparse.ArgumentParser()

    parser.add_argument("""--dump_path""", default=None, type=str, required=True, help="""Path to the output model.""")

    parser.add_argument(
        """--txt2img_unclip""",
        default="""kakaobrain/karlo-v1-alpha""",
        type=str,
        required=False,
        help="""The pretrained txt2img unclip.""",
    )

    UpperCAmelCase__  		=						parser.parse_args()

    UpperCAmelCase__  		=						UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

    UpperCAmelCase__  		=						CLIPImageProcessor()
    UpperCAmelCase__  		=						CLIPVisionModelWithProjection.from_pretrained("""openai/clip-vit-large-patch14""")

    UpperCAmelCase__  		=						UnCLIPImageVariationPipeline(
        decoder=txtaimg.decoder,
        text_encoder=txtaimg.text_encoder,
        tokenizer=txtaimg.tokenizer,
        text_proj=txtaimg.text_proj,
        feature_extractor=feature_extractor,
        image_encoder=image_encoder,
        super_res_first=txtaimg.super_res_first,
        super_res_last=txtaimg.super_res_last,
        decoder_scheduler=txtaimg.decoder_scheduler,
        super_res_scheduler=txtaimg.super_res_scheduler,
    )

    imgaimg.save_pretrained(args.dump_path)
