




'''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:
		UpperCAmelCase_ 		=      None


UpperCAmelCase_ 		=      logging.get_logger(__name__)


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

UpperCAmelCase_ 		=      {
    "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"
        ),
    },
}

UpperCAmelCase_ 		=      {
    "facebook/nllb-large-en-ro": 10_24,
    "facebook/nllb-200-distilled-600M": 10_24,
}

# fmt: off
UpperCAmelCase_ 		=      ["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    __lowercase						(  UpperCAmelCase__ ):
			_a							=      VOCAB_FILES_NAMES
			_a							=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_a							=      PRETRAINED_VOCAB_FILES_MAP
			_a							=      ["input_ids", "attention_mask"]
			_a							=      NllbTokenizer

			_a							=      []
			_a							=      []







			def __init__(	self      ,							UpperCamelCase=None      ,							UpperCamelCase=None      ,							UpperCamelCase="<s>"      ,							UpperCamelCase="</s>"      ,							UpperCamelCase="</s>"      ,							UpperCamelCase="<s>"      ,							UpperCamelCase="<unk>"      ,							UpperCamelCase="<pad>"      ,							UpperCamelCase="<mask>"      ,							UpperCamelCase=None      ,							UpperCamelCase=None      ,							UpperCamelCase=None      ,							UpperCamelCase=False      ,							**UpperCamelCase      ,							)				->    int:
					__a			=					AddedToken(lowerCamelCase__      ,							lstrip=lowerCamelCase__      ,							rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__      ,							lowerCamelCase__      ) else mask_token
					__a			=					legacy_behaviour
					super().__init__(
					    vocab_file=lowerCamelCase__      ,							tokenizer_file=lowerCamelCase__      ,							bos_token=lowerCamelCase__      ,							eos_token=lowerCamelCase__      ,							sep_token=lowerCamelCase__      ,							cls_token=lowerCamelCase__      ,							unk_token=lowerCamelCase__      ,							pad_token=lowerCamelCase__      ,							mask_token=lowerCamelCase__      ,							src_lang=lowerCamelCase__      ,							tgt_lang=lowerCamelCase__      ,							additional_special_tokens=lowerCamelCase__      ,							legacy_behaviour=lowerCamelCase__      ,							**lowerCamelCase__      ,							)

					__a			=					vocab_file
					__a			=					False if not self.vocab_file else True

					__a			=					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}      )
					__a			=					{
					    lang_code: self.convert_tokens_to_ids(lowerCamelCase__      ) for lang_code in FAIRSEQ_LANGUAGE_CODES
					}

					__a			=					src_lang if src_lang is not None else "eng_Latn"
					__a			=					self.convert_tokens_to_ids(self._src_lang      )
					__a			=					tgt_lang
					self.set_src_lang_special_tokens(self._src_lang      )







			@property
			def 		UpperCamelCase__			(	self      )				->    str:
					return self._src_lang







			@src_lang.setter
			def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    None:
					__a			=					new_src_lang
					self.set_src_lang_special_tokens(self._src_lang      )







			def 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = None      )				->    List[int]:







					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 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = None      )				->    List[int]:
					__a			=					[self.sep_token_id]
					__a			=					[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 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      ,							UpperCamelCase      ,							**UpperCamelCase      )				->    Tuple:







					if src_lang is None or tgt_lang is None:
							raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'      )
					__a			=					src_lang
					__a			=					self(lowerCamelCase__      ,							add_special_tokens=lowerCamelCase__      ,							return_tensors=lowerCamelCase__      ,							**lowerCamelCase__      )
					__a			=					self.convert_tokens_to_ids(lowerCamelCase__      )
					__a			=					tgt_lang_id
					return inputs







			def 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = "eng_Latn"      ,							UpperCamelCase = None      ,							UpperCamelCase = "fra_Latn"      ,							**UpperCamelCase      ,							)				->    BatchEncoding:
					__a			=					src_lang
					__a			=					tgt_lang
					return super().prepare_seqaseq_batch(lowerCamelCase__      ,							lowerCamelCase__      ,							**lowerCamelCase__      )







			def 		UpperCamelCase__			(	self      )				->    List[str]:
					return self.set_src_lang_special_tokens(self.src_lang      )







			def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
					return self.set_tgt_lang_special_tokens(self.tgt_lang      )







			def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    None:
					__a			=					self.convert_tokens_to_ids(lowerCamelCase__      )

					if self.legacy_behaviour:
							__a			=					[]
							__a			=					[self.eos_token_id, self.cur_lang_code]
					else:
							__a			=					[self.cur_lang_code]
							__a			=					[self.eos_token_id]

					__a			=					self.convert_ids_to_tokens(self.prefix_tokens      )
					__a			=					self.convert_ids_to_tokens(self.suffix_tokens      )

					__a			=					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 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    None:
					__a			=					self.convert_tokens_to_ids(lowerCamelCase__      )
					if self.legacy_behaviour:
							__a			=					[]
							__a			=					[self.eos_token_id, self.cur_lang_code]
					else:
							__a			=					[self.cur_lang_code]
							__a			=					[self.eos_token_id]

					__a			=					self.convert_ids_to_tokens(self.prefix_tokens      )
					__a			=					self.convert_ids_to_tokens(self.suffix_tokens      )

					__a			=					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 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = None      )				->    Tuple[str]:







					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(lowerCamelCase__      ):
							logger.error(f"Vocabulary path ({save_directory}) should be a directory."      )
							return
					__a			=					os.path.join(
					    lowerCamelCase__      ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )

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

					return (out_vocab_file,)









'''simple docstring'''


import os
from datetime import datetime as dt

from github import Github


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


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

  for issue in open_issues:
    __a			=					sorted(issue.get_comments()				,					key=lambda a_			: i.created_at				,					reverse=a_			)
    __a			=					comments[0] if len(a_			) > 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()



