



'''simple docstring'''

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:
	snake_case_			=     None


snake_case_			=     logging.get_logger(__name__)


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

snake_case_			=     {
    """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"""
        ),
    },
}

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

# fmt: off
snake_case_			=     ["""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 	a__     (				_lowercase	):
	__magic_name__		:    Optional[int]	    =     VOCAB_FILES_NAMES
	__magic_name__		:    int	    =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__		:    Union[str, Any]	    =     PRETRAINED_VOCAB_FILES_MAP
	__magic_name__		:    int	    =     ["input_ids", "attention_mask"]
	__magic_name__		:    List[Any]	    =     NllbTokenizer

	__magic_name__		:    List[int]	    =     []
	__magic_name__		:    List[int]	    =     []


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

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Any      					= AddedToken(__UpperCAmelCase,					lstrip=__UpperCAmelCase,					rstrip=__UpperCAmelCase      ) if isinstance(__UpperCAmelCase,					__UpperCAmelCase      ) else mask_token
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= legacy_behaviour
					super().__init__(
					    vocab_file=__UpperCAmelCase,					tokenizer_file=__UpperCAmelCase,					bos_token=__UpperCAmelCase,					eos_token=__UpperCAmelCase,					sep_token=__UpperCAmelCase,					cls_token=__UpperCAmelCase,					unk_token=__UpperCAmelCase,					pad_token=__UpperCAmelCase,					mask_token=__UpperCAmelCase,					src_lang=__UpperCAmelCase,					tgt_lang=__UpperCAmelCase,					additional_special_tokens=__UpperCAmelCase,					legacy_behaviour=__UpperCAmelCase,					**__UpperCAmelCase,					)

					SCREAMING_SNAKE_CASE  :						int      					= vocab_file
					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= False if not self.vocab_file else True

					SCREAMING_SNAKE_CASE  :						Tuple      					= 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}      )
					SCREAMING_SNAKE_CASE  :						List[Any]      					= {
					    lang_code: self.convert_tokens_to_ids(__UpperCAmelCase      ) for lang_code in FAIRSEQ_LANGUAGE_CODES
					}

					SCREAMING_SNAKE_CASE  :						Tuple      					= src_lang if src_lang is not None else '''eng_Latn'''
					SCREAMING_SNAKE_CASE  :						Optional[int]      					= self.convert_tokens_to_ids(self._src_lang      )
					SCREAMING_SNAKE_CASE  :						str      					= tgt_lang
					self.set_src_lang_special_tokens(self._src_lang      )


	@property
	def 				lowercase__  (self : Tuple      )     ->			str:

					"""simple docstring"""

					return self._src_lang


	@src_lang.setter
	def 				lowercase__  (self : Optional[Any],					__UpperCAmelCase : str      )     ->			None:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= new_src_lang
					self.set_src_lang_special_tokens(self._src_lang      )


	def 				lowercase__  (self : Tuple,					__UpperCAmelCase : List[int],					__UpperCAmelCase : Optional[List[int]] = 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 : Union[str, Any],					__UpperCAmelCase : List[int],					__UpperCAmelCase : Optional[List[int]] = None      )     ->			List[int]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Dict      					= [self.sep_token_id]
					SCREAMING_SNAKE_CASE  :						Tuple      					= [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 : Dict,					__UpperCAmelCase : Dict,					__UpperCAmelCase : str,					__UpperCAmelCase : Optional[str],					__UpperCAmelCase : Optional[str],					**__UpperCAmelCase : Optional[Any]      )     ->			List[str]:

					"""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'''      )
					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= src_lang
					SCREAMING_SNAKE_CASE  :						Any      					= self(__UpperCAmelCase,					add_special_tokens=__UpperCAmelCase,					return_tensors=__UpperCAmelCase,					**__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Tuple      					= self.convert_tokens_to_ids(__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Tuple      					= tgt_lang_id
					return inputs


	def 				lowercase__  (self : Tuple,					__UpperCAmelCase : List[str],					__UpperCAmelCase : str = "eng_Latn",					__UpperCAmelCase : Optional[List[str]] = None,					__UpperCAmelCase : str = "fra_Latn",					**__UpperCAmelCase : Any,					)     ->			BatchEncoding:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Any      					= src_lang
					SCREAMING_SNAKE_CASE  :						Tuple      					= tgt_lang
					return super().prepare_seqaseq_batch(__UpperCAmelCase,					__UpperCAmelCase,					**__UpperCAmelCase      )


	def 				lowercase__  (self : int      )     ->			Optional[Any]:

					"""simple docstring"""

					return self.set_src_lang_special_tokens(self.src_lang      )


	def 				lowercase__  (self : int      )     ->			Any:

					"""simple docstring"""

					return self.set_tgt_lang_special_tokens(self.tgt_lang      )


	def 				lowercase__  (self : List[str],					__UpperCAmelCase : List[str]      )     ->			None:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Any      					= self.convert_tokens_to_ids(__UpperCAmelCase      )

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

					SCREAMING_SNAKE_CASE  :						Optional[int]      					= self.convert_ids_to_tokens(self.prefix_tokens      )
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= self.convert_ids_to_tokens(self.suffix_tokens      )

					SCREAMING_SNAKE_CASE  :						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 : Optional[Any],					__UpperCAmelCase : str      )     ->			None:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Optional[int]      					= self.convert_tokens_to_ids(__UpperCAmelCase      )
					if self.legacy_behaviour:
									SCREAMING_SNAKE_CASE  :						Tuple      					= []
									SCREAMING_SNAKE_CASE  :						Dict      					= [self.eos_token_id, self.cur_lang_code]
					else:
									SCREAMING_SNAKE_CASE  :						Optional[Any]      					= [self.cur_lang_code]
									SCREAMING_SNAKE_CASE  :						Any      					= [self.eos_token_id]

					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= self.convert_ids_to_tokens(self.prefix_tokens      )
					SCREAMING_SNAKE_CASE  :						int      					= self.convert_ids_to_tokens(self.suffix_tokens      )

					SCREAMING_SNAKE_CASE  :						Union[str, 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 : Dict,					__UpperCAmelCase : str,					__UpperCAmelCase : Optional[str] = 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(__UpperCAmelCase      ):
									logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''      )
									return
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= os.path.join(
					    __UpperCAmelCase,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

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

					return (out_vocab_file,)









'''simple docstring'''

import os
from datetime import datetime as dt

from github import Github


snake_case_			=     [
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]






def       __lowercase  ():
				SCREAMING_SNAKE_CASE  :						List[Any]      					= Github(os.environ['''GITHUB_TOKEN''']       )
				SCREAMING_SNAKE_CASE  :						List[str]      					= g.get_repo('''huggingface/diffusers'''       )
				SCREAMING_SNAKE_CASE  :						List[str]      					= repo.get_issues(state='''open'''       )

				for issue in open_issues:
								SCREAMING_SNAKE_CASE  :						List[Any]      					= sorted(issue.get_comments()    ,	key=lambda _SCREAMING_SNAKE_CASE       : i.created_at    ,	reverse=_SCREAMING_SNAKE_CASE       )
								SCREAMING_SNAKE_CASE  :						Optional[int]      					= comments[0] if len(_SCREAMING_SNAKE_CASE       ) > 0 else None
								if (
								    last_comment is not None
								    and last_comment.user.login == "github-actions[bot]"
								    and (dt.utcnow() - issue.updated_at).days > 7
								    and (dt.utcnow() - issue.created_at).days >= 30
								    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
								):
												# Closes the issue after 7 days of inactivity since the Stalebot notification.
												issue.edit(state='''closed'''       )
								elif (
								    "stale" in issue.get_labels()
								    and last_comment is not None
								    and last_comment.user.login != "github-actions[bot]"
								):
												# Opens the issue if someone other than Stalebot commented.
												issue.edit(state='''open'''       )
												issue.remove_from_labels('''stale'''       )
								elif (
								    (dt.utcnow() - issue.updated_at).days > 23
								    and (dt.utcnow() - issue.created_at).days >= 30
								    and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()       )
								):
												# Post a Stalebot notification after 23 days of inactivity.
												issue.create_comment(
												    '''This issue has been automatically marked as stale because it has not had '''
												    '''recent activity. If you think this still needs to be addressed '''
												    '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
												    '''[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) '''
												    '''are likely to be ignored.'''       )
												issue.add_to_labels('''stale'''       )


if __name__ == "__main__":
	main()




