



"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


__SCREAMING_SNAKE_CASE  :						Any    							=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE  :						List[Any]    							=      '''▁'''

__SCREAMING_SNAKE_CASE  :						str    							=      {'''vocab_file''': '''sentencepiece.bpe.model'''}

__SCREAMING_SNAKE_CASE  :						Union[str, Any]    							=      {
    '''vocab_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/blob/main/sentencepiece.bpe.model'''
        ),
    }
}

__SCREAMING_SNAKE_CASE  :						int    							=      {
    '''facebook/nllb-200-distilled-600M''': 1_0_2_4,
}

# fmt: off
__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      ['''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 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					lowercase__   :       List[Any]										= VOCAB_FILES_NAMES
					lowercase__   :       Tuple										= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase__   :       Dict										= PRETRAINED_VOCAB_FILES_MAP
					lowercase__   :       List[Any]										= ['input_ids', 'attention_mask']

					lowercase__   :       List[int]										= []
					lowercase__   :       List[int]										= []

					def __init__(    self				,       lowerCamelCase__				,       lowerCamelCase__="<s>"				,       lowerCamelCase__="</s>"				,       lowerCamelCase__="</s>"				,       lowerCamelCase__="<s>"				,       lowerCamelCase__="<unk>"				,       lowerCamelCase__="<pad>"				,       lowerCamelCase__="<mask>"				,       lowerCamelCase__=None				,       lowerCamelCase__=None				,       lowerCamelCase__=None				,       lowerCamelCase__ = None				,       lowerCamelCase__=None				,       lowerCamelCase__=False				,       **lowerCamelCase__				,       ):
									# Mask token behave like a normal word, i.e. include the space before it
									_lowerCamelCase        =				AddedToken(lowerCamelCase__				,       lstrip=lowerCamelCase__				,       rstrip=lowerCamelCase__   ) if isinstance(lowerCamelCase__				,       lowerCamelCase__   ) else mask_token

									_lowerCamelCase        =				{} if sp_model_kwargs is None else sp_model_kwargs
									_lowerCamelCase        =				legacy_behaviour

									super().__init__(
									    bos_token=lowerCamelCase__				,       eos_token=lowerCamelCase__				,       unk_token=lowerCamelCase__				,       sep_token=lowerCamelCase__				,       cls_token=lowerCamelCase__				,       pad_token=lowerCamelCase__				,       mask_token=lowerCamelCase__				,       tokenizer_file=lowerCamelCase__				,       src_lang=lowerCamelCase__				,       tgt_lang=lowerCamelCase__				,       additional_special_tokens=lowerCamelCase__				,       sp_model_kwargs=self.sp_model_kwargs				,       legacy_behaviour=lowerCamelCase__				,       **lowerCamelCase__				,       )

									_lowerCamelCase        =				spm.SentencePieceProcessor(**self.sp_model_kwargs   )
									self.sp_model.Load(str(lowerCamelCase__   )   )
									_lowerCamelCase        =				vocab_file
									# Original fairseq vocab and spm vocab must be "aligned":
									# Vocab    |    0    |    1    |   2    |    3    |  4   |  5   |  6   |   7  |   8  |  9
									# -------- | ------- | ------- | ------ | ------- | ---- | ---- | ---- | ---- | ---- | ----
									# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | 'an' | '▁n' | '▁m' | '▁t' | '▁k' | '▁a'
									# spm      | '<unk>' | '<s>'   | '</s>' | 'an'    | '▁n' | '▁m' | '▁t' | '▁k' | '▁a' | '▁s'

									# Mimic fairseq token-to-id alignment for the first 4 token
									_lowerCamelCase        =				{'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

									# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
									_lowerCamelCase        =				1

									_lowerCamelCase        =				len(self.sp_model   )
									_lowerCamelCase        =				{
									    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowerCamelCase__   )
									}
									_lowerCamelCase        =				{v: k for k, v in self.lang_code_to_id.items()}
									_lowerCamelCase        =				len(self.sp_model   ) + len(self.lang_code_to_id   ) + self.fairseq_offset

									self.fairseq_tokens_to_ids.update(self.lang_code_to_id   )
									_lowerCamelCase        =				{v: k for k, v in self.fairseq_tokens_to_ids.items()}
									_lowerCamelCase        =				list(self.lang_code_to_id.keys()   )

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

									_lowerCamelCase        =				src_lang if src_lang is not None else '''eng_Latn'''
									_lowerCamelCase        =				self.lang_code_to_id[self._src_lang]
									_lowerCamelCase        =				tgt_lang
									self.set_src_lang_special_tokens(self._src_lang   )

					def __getstate__(    self   ):
									_lowerCamelCase        =				self.__dict__.copy()
									_lowerCamelCase        =				None
									_lowerCamelCase        =				self.sp_model.serialized_model_proto()
									return state

					def __setstate__(    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				d

									# for backward compatibility
									if not hasattr(self				,       '''sp_model_kwargs'''   ):
													_lowerCamelCase        =				{}

									_lowerCamelCase        =				spm.SentencePieceProcessor(**self.sp_model_kwargs   )
									self.sp_model.LoadFromSerializedProto(self.sp_model_proto   )

					@property
					def 			snake_case__      (    self   ):
									return len(self.sp_model   ) + len(self.lang_code_to_id   ) + self.fairseq_offset + 1  # Plus 1 for the mask token

					@property
					def 			snake_case__      (    self   ):
									return self._src_lang

					@src_lang.setter
					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				new_src_lang
									self.set_src_lang_special_tokens(self._src_lang   )

					def 			snake_case__      (    self				,       lowerCamelCase__				,       lowerCamelCase__ = None				,       lowerCamelCase__ = False   ):

									if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=lowerCamelCase__				,       token_ids_a=lowerCamelCase__				,       already_has_special_tokens=lowerCamelCase__   )

									_lowerCamelCase        =				[1] * len(self.prefix_tokens   )
									_lowerCamelCase        =				[1] * len(self.suffix_tokens   )
									if token_ids_a is None:
													return prefix_ones + ([0] * len(lowerCamelCase__   )) + suffix_ones
									return prefix_ones + ([0] * len(lowerCamelCase__   )) + ([0] * len(lowerCamelCase__   )) + suffix_ones

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

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				{self.convert_ids_to_tokens(lowerCamelCase__   ): i for i in range(self.vocab_size   )}
									vocab.update(self.added_tokens_encoder   )
									return vocab

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									return self.sp_model.encode(lowerCamelCase__				,       out_type=lowerCamelCase__   )

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									if token in self.fairseq_tokens_to_ids:
													return self.fairseq_tokens_to_ids[token]
									_lowerCamelCase        =				self.sp_model.PieceToId(lowerCamelCase__   )

									# Need to return unknown token if the SP model returned 0
									return spm_id + self.fairseq_offset if spm_id else self.unk_token_id

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									if index in self.fairseq_ids_to_tokens:
													return self.fairseq_ids_to_tokens[index]
									return self.sp_model.IdToPiece(index - self.fairseq_offset   )

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				''''''.join(lowerCamelCase__   ).replace(lowerCamelCase__				,       ''' '''   ).strip()
									return out_string

					def 			snake_case__      (    self				,       lowerCamelCase__				,       lowerCamelCase__ = None   ):
									if not os.path.isdir(lowerCamelCase__   ):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
													return
									_lowerCamelCase        =				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__   ) and os.path.isfile(self.vocab_file   ):
													copyfile(self.vocab_file				,       lowerCamelCase__   )
									elif not os.path.isfile(self.vocab_file   ):
													with open(lowerCamelCase__				,       '''wb'''   ) as fi:
																	_lowerCamelCase        =				self.sp_model.serialized_model_proto()
																	fi.write(lowerCamelCase__   )

									return (out_vocab_file,)

					def 			snake_case__      (    self				,       lowerCamelCase__				,       lowerCamelCase__ = "eng_Latn"				,       lowerCamelCase__ = None				,       lowerCamelCase__ = "fra_Latn"				,       **lowerCamelCase__				,       ):
									_lowerCamelCase        =				src_lang
									_lowerCamelCase        =				tgt_lang
									return super().prepare_seqaseq_batch(lowerCamelCase__				,       lowerCamelCase__				,       **lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									return self.set_src_lang_special_tokens(self.src_lang   )

					def 			snake_case__      (    self   ):
									return self.set_tgt_lang_special_tokens(self.tgt_lang   )

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				self.lang_code_to_id[src_lang]
									if self.legacy_behaviour:
													_lowerCamelCase        =				[]
													_lowerCamelCase        =				[self.eos_token_id, self.cur_lang_code]
									else:
													_lowerCamelCase        =				[self.cur_lang_code]
													_lowerCamelCase        =				[self.eos_token_id]





					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				self.lang_code_to_id[lang]
									if self.legacy_behaviour:
													_lowerCamelCase        =				[]
													_lowerCamelCase        =				[self.eos_token_id, self.cur_lang_code]
									else:
													_lowerCamelCase        =				[self.cur_lang_code]
													_lowerCamelCase        =				[self.eos_token_id]





"""simple docstring"""
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)



def        lowerCAmelCase_(   lowercase_     :							List[Any]							)	->       Optional[Any]:
				from diffusers.utils.testing_utils import pytest_addoption_shared

				pytest_addoption_shared(lowercase_							)




def        lowerCAmelCase_(   lowercase_     :							List[str]							)	->       List[str]:
				from diffusers.utils.testing_utils import pytest_terminal_summary_main

				_lowerCamelCase        =				terminalreporter.config.getoption('''--make-reports'''							)
				if make_reports:
								pytest_terminal_summary_main(lowercase_						,   id=lowercase_							)
