






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_nllb import NllbTokenizer
else:
     lowerCamelCase__							=     None


lowerCamelCase__							=     logging.get_logger(__name__)


lowerCamelCase__							=     {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCamelCase__							=     {
    """vocab_file""": {
        """facebook/nllb-200-distilled-600M""": (
            """https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """facebook/nllb-200-distilled-600M""": (
            """https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json"""
        ),
    },
}

lowerCamelCase__							=     {
    """facebook/nllb-large-en-ro""": 1024,
    """facebook/nllb-200-distilled-600M""": 1024,
}

# fmt: off
lowerCamelCase__							=     ["""ace_Arab""", """ace_Latn""", """acm_Arab""", """acq_Arab""", """aeb_Arab""", """afr_Latn""", """ajp_Arab""", """aka_Latn""", """amh_Ethi""", """apc_Arab""", """arb_Arab""", """ars_Arab""", """ary_Arab""", """arz_Arab""", """asm_Beng""", """ast_Latn""", """awa_Deva""", """ayr_Latn""", """azb_Arab""", """azj_Latn""", """bak_Cyrl""", """bam_Latn""", """ban_Latn""", """bel_Cyrl""", """bem_Latn""", """ben_Beng""", """bho_Deva""", """bjn_Arab""", """bjn_Latn""", """bod_Tibt""", """bos_Latn""", """bug_Latn""", """bul_Cyrl""", """cat_Latn""", """ceb_Latn""", """ces_Latn""", """cjk_Latn""", """ckb_Arab""", """crh_Latn""", """cym_Latn""", """dan_Latn""", """deu_Latn""", """dik_Latn""", """dyu_Latn""", """dzo_Tibt""", """ell_Grek""", """eng_Latn""", """epo_Latn""", """est_Latn""", """eus_Latn""", """ewe_Latn""", """fao_Latn""", """pes_Arab""", """fij_Latn""", """fin_Latn""", """fon_Latn""", """fra_Latn""", """fur_Latn""", """fuv_Latn""", """gla_Latn""", """gle_Latn""", """glg_Latn""", """grn_Latn""", """guj_Gujr""", """hat_Latn""", """hau_Latn""", """heb_Hebr""", """hin_Deva""", """hne_Deva""", """hrv_Latn""", """hun_Latn""", """hye_Armn""", """ibo_Latn""", """ilo_Latn""", """ind_Latn""", """isl_Latn""", """ita_Latn""", """jav_Latn""", """jpn_Jpan""", """kab_Latn""", """kac_Latn""", """kam_Latn""", """kan_Knda""", """kas_Arab""", """kas_Deva""", """kat_Geor""", """knc_Arab""", """knc_Latn""", """kaz_Cyrl""", """kbp_Latn""", """kea_Latn""", """khm_Khmr""", """kik_Latn""", """kin_Latn""", """kir_Cyrl""", """kmb_Latn""", """kon_Latn""", """kor_Hang""", """kmr_Latn""", """lao_Laoo""", """lvs_Latn""", """lij_Latn""", """lim_Latn""", """lin_Latn""", """lit_Latn""", """lmo_Latn""", """ltg_Latn""", """ltz_Latn""", """lua_Latn""", """lug_Latn""", """luo_Latn""", """lus_Latn""", """mag_Deva""", """mai_Deva""", """mal_Mlym""", """mar_Deva""", """min_Latn""", """mkd_Cyrl""", """plt_Latn""", """mlt_Latn""", """mni_Beng""", """khk_Cyrl""", """mos_Latn""", """mri_Latn""", """zsm_Latn""", """mya_Mymr""", """nld_Latn""", """nno_Latn""", """nob_Latn""", """npi_Deva""", """nso_Latn""", """nus_Latn""", """nya_Latn""", """oci_Latn""", """gaz_Latn""", """ory_Orya""", """pag_Latn""", """pan_Guru""", """pap_Latn""", """pol_Latn""", """por_Latn""", """prs_Arab""", """pbt_Arab""", """quy_Latn""", """ron_Latn""", """run_Latn""", """rus_Cyrl""", """sag_Latn""", """san_Deva""", """sat_Beng""", """scn_Latn""", """shn_Mymr""", """sin_Sinh""", """slk_Latn""", """slv_Latn""", """smo_Latn""", """sna_Latn""", """snd_Arab""", """som_Latn""", """sot_Latn""", """spa_Latn""", """als_Latn""", """srd_Latn""", """srp_Cyrl""", """ssw_Latn""", """sun_Latn""", """swe_Latn""", """swh_Latn""", """szl_Latn""", """tam_Taml""", """tat_Cyrl""", """tel_Telu""", """tgk_Cyrl""", """tgl_Latn""", """tha_Thai""", """tir_Ethi""", """taq_Latn""", """taq_Tfng""", """tpi_Latn""", """tsn_Latn""", """tso_Latn""", """tuk_Latn""", """tum_Latn""", """tur_Latn""", """twi_Latn""", """tzm_Tfng""", """uig_Arab""", """ukr_Cyrl""", """umb_Latn""", """urd_Arab""", """uzn_Latn""", """vec_Latn""", """vie_Latn""", """war_Latn""", """wol_Latn""", """xho_Latn""", """ydd_Hebr""", """yor_Latn""", """yue_Hant""", """zho_Hans""", """zho_Hant""", """zul_Latn"""]




class 			snake_case__   (							lowercase_):

       '''simple docstring'''
       lowerCamelCase							:				Tuple 				= VOCAB_FILES_NAMES
       lowerCamelCase							:				int 				= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCamelCase							:				List[Any] 				= PRETRAINED_VOCAB_FILES_MAP
       lowerCamelCase							:				Any 				= ["input_ids", "attention_mask"]
       lowerCamelCase							:				Optional[Any] 				= NllbTokenizer

       lowerCamelCase							:				List[int] 				= []
       lowerCamelCase							:				List[int] 				= []



       def __init__(							self			,						a__=None			,						a__=None			,						a__="<s>"			,						a__="</s>"			,						a__="</s>"			,						a__="<s>"			,						a__="<unk>"			,						a__="<pad>"			,						a__="<mask>"			,						a__=None			,						a__=None			,						a__=None			,						a__=False			,						**a__			,						) ->      Dict:






            '''simple docstring'''





            __snake_case			:Optional[Any]          =						AddedToken(a__			,						lstrip=a__			,						rstrip=a__    ) if isinstance(a__			,						a__    ) else mask_token
            __snake_case			:List[Any]          =						legacy_behaviour
            super().__init__(
                vocab_file=a__			,						tokenizer_file=a__			,						bos_token=a__			,						eos_token=a__			,						sep_token=a__			,						cls_token=a__			,						unk_token=a__			,						pad_token=a__			,						mask_token=a__			,						src_lang=a__			,						tgt_lang=a__			,						additional_special_tokens=a__			,						legacy_behaviour=a__			,						**a__			,						)

            __snake_case			:Union[str, Any]          =						vocab_file
            __snake_case			:Dict          =						False if not self.vocab_file else True

            __snake_case			:Optional[Any]          =						FAIRSEQ_LANGUAGE_CODES.copy()

            if additional_special_tokens is not None:
                 # Only add those special tokens if they are not already there.
                 _additional_special_tokens.extend(
                     [t for t in additional_special_tokens if t not in _additional_special_tokens]    )

            self.add_special_tokens({"""additional_special_tokens""": _additional_special_tokens}    )
            __snake_case			:Dict          =						{
                lang_code: self.convert_tokens_to_ids(a__    ) for lang_code in FAIRSEQ_LANGUAGE_CODES
            }

            __snake_case			:List[Any]          =						src_lang if src_lang is not None else """eng_Latn"""
            __snake_case			:str          =						self.convert_tokens_to_ids(self._src_lang    )
            __snake_case			:int          =						tgt_lang
            self.set_src_lang_special_tokens(self._src_lang    )



       @property
       def 					__lowercase						(							self    ) ->      str:






            '''simple docstring'''





            return self._src_lang



       @src_lang.setter
       def 					__lowercase						(							self			,						a__    ) ->      None:






            '''simple docstring'''





            __snake_case			:List[str]          =						new_src_lang
            self.set_src_lang_special_tokens(self._src_lang    )



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






            '''simple docstring'''





            if token_ids_a is None:
                 return self.prefix_tokens + token_ids_a + self.suffix_tokens
            # We don't expect to process pairs, but leave the pair logic for API consistency
            return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens



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






            '''simple docstring'''





            __snake_case			:Tuple          =						[self.sep_token_id]
            __snake_case			:List[Any]          =						[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 					__lowercase						(							self			,						a__			,						a__			,						a__			,						a__			,						**a__    ) ->      Any:






            '''simple docstring'''





            if src_lang is None or tgt_lang is None:
                 raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""    )
            __snake_case			:Optional[int]          =						src_lang
            __snake_case			:Dict          =						self(a__			,						add_special_tokens=a__			,						return_tensors=a__			,						**a__    )
            __snake_case			:Tuple          =						self.convert_tokens_to_ids(a__    )
            __snake_case			:List[str]          =						tgt_lang_id
            return inputs



       def 					__lowercase						(							self			,						a__			,						a__ = "eng_Latn"			,						a__ = None			,						a__ = "fra_Latn"			,						**a__			,						) ->      BatchEncoding:






            '''simple docstring'''





            __snake_case			:List[str]          =						src_lang
            __snake_case			:Optional[int]          =						tgt_lang
            return super().prepare_seqaseq_batch(a__			,						a__			,						**a__    )



       def 					__lowercase						(							self    ) ->      Any:






            '''simple docstring'''





            return self.set_src_lang_special_tokens(self.src_lang    )



       def 					__lowercase						(							self    ) ->      Tuple:






            '''simple docstring'''





            return self.set_tgt_lang_special_tokens(self.tgt_lang    )



       def 					__lowercase						(							self			,						a__    ) ->      None:






            '''simple docstring'''





            __snake_case			:Dict          =						self.convert_tokens_to_ids(a__    )

            if self.legacy_behaviour:
                 __snake_case			:List[Any]          =						[]
                 __snake_case			:str          =						[self.eos_token_id, self.cur_lang_code]
            else:
                 __snake_case			:Union[str, Any]          =						[self.cur_lang_code]
                 __snake_case			:Optional[Any]          =						[self.eos_token_id]

            __snake_case			:str          =						self.convert_ids_to_tokens(self.prefix_tokens    )
            __snake_case			:Dict          =						self.convert_ids_to_tokens(self.suffix_tokens    )

            __snake_case			:Optional[int]          =						processors.TemplateProcessing(
                single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str			,						pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str			,						special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str			,						self.prefix_tokens + self.suffix_tokens    )    )			,						)



       def 					__lowercase						(							self			,						a__    ) ->      None:






            '''simple docstring'''





            __snake_case			:Tuple          =						self.convert_tokens_to_ids(a__    )
            if self.legacy_behaviour:
                 __snake_case			:str          =						[]
                 __snake_case			:List[Any]          =						[self.eos_token_id, self.cur_lang_code]
            else:
                 __snake_case			:List[Any]          =						[self.cur_lang_code]
                 __snake_case			:Dict          =						[self.eos_token_id]

            __snake_case			:Optional[int]          =						self.convert_ids_to_tokens(self.prefix_tokens    )
            __snake_case			:int          =						self.convert_ids_to_tokens(self.suffix_tokens    )

            __snake_case			:List[Any]          =						processors.TemplateProcessing(
                single=prefix_tokens_str + ["""$A"""] + suffix_tokens_str			,						pair=prefix_tokens_str + ["""$A""", """$B"""] + suffix_tokens_str			,						special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str			,						self.prefix_tokens + self.suffix_tokens    )    )			,						)



       def 					__lowercase						(							self			,						a__			,						a__ = None    ) ->      Tuple[str]:






            '''simple docstring'''





            if not self.can_save_slow_tokenizer:
                 raise ValueError(
                     """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                     """tokenizer."""    )

            if not os.path.isdir(a__    ):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''    )
                 return
            __snake_case			:Any          =						os.path.join(
                a__			,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )

            if os.path.abspath(self.vocab_file    ) != os.path.abspath(a__    ):
                 copyfile(self.vocab_file			,						a__    )

            return (out_vocab_file,)










import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm






def   UpperCamelCase  (       snake_case__     :   str	,snake_case__     :   Dict	,snake_case__     :   List[str]  ):




     '''simple docstring'''






     __snake_case			:Tuple          =						1.5
     __snake_case			:Any          =						int(factor * num_class_images  )
     __snake_case			:List[str]          =						ClipClient(
         url="""https://knn.laion.ai/knn-service"""	,indice_name="""laion_400m"""	,num_images=snake_case__	,aesthetic_weight=0.1  )

     os.makedirs(f'''{class_data_dir}/images'''	,exist_ok=snake_case__  )
     if len(list(Path(f'''{class_data_dir}/images'''  ).iterdir()  )  ) >= num_class_images:
          return

     while True:
          __snake_case			:Optional[Any]          =						client.query(text=snake_case__  )
          if len(snake_case__  ) >= factor * num_class_images or num_images > 1e4:
               break
          else:
               __snake_case			:Tuple          =						int(factor * num_images  )
               __snake_case			:Any          =						ClipClient(
                   url="""https://knn.laion.ai/knn-service"""	,indice_name="""laion_400m"""	,num_images=snake_case__	,aesthetic_weight=0.1	,)

     __snake_case			:Dict          =						0
     __snake_case			:Tuple          =						0
     __snake_case			:Dict          =						tqdm(desc="""downloading real regularization images"""	,total=snake_case__  )

     with open(f'''{class_data_dir}/caption.txt'''	,"""w"""  ) as fa, open(f'''{class_data_dir}/urls.txt'''	,"""w"""  ) as fa, open(
         f'''{class_data_dir}/images.txt'''	,"""w"""  ) as fa:
          while total < num_class_images:
               __snake_case			:List[Any]          =						class_images[count]
               count += 1
               try:
                    __snake_case			:str          =						requests.get(images["""url"""]  )
                    if img.status_code == 200:
                         __snake_case			:Any          =						Image.open(BytesIO(img.content  )  )
                         with open(f'''{class_data_dir}/images/{total}.jpg'''	,"""wb"""  ) as f:
                              f.write(img.content  )
                         fa.write(images["""caption"""] + """\n"""  )
                         fa.write(images["""url"""] + """\n"""  )
                         fa.write(f'''{class_data_dir}/images/{total}.jpg''' + """\n"""  )
                         total += 1
                         pbar.update(1  )
                    else:
                         continue
               except Exception:
                    continue
     return






def   UpperCamelCase  (       ):




     '''simple docstring'''






     __snake_case			:List[str]          =						argparse.ArgumentParser(""""""	,add_help=snake_case__  )
     parser.add_argument("""--class_prompt"""	,help="""text prompt to retrieve images"""	,required=snake_case__	,type=snake_case__  )
     parser.add_argument("""--class_data_dir"""	,help="""path to save images"""	,required=snake_case__	,type=snake_case__  )
     parser.add_argument("""--num_class_images"""	,help="""number of images to download"""	,default=200	,type=snake_case__  )
     return parser.parse_args()


if __name__ == "__main__":
     lowerCamelCase__							=     parse_args()
     retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)


