



'''simple docstring'''



import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowercase       :						int						=logging.get_logger(__name__)

_lowercase       :						Union[str, Any]						={
    "source_spm": "source.spm",
    "target_spm": "target.spm",
    "vocab": "vocab.json",
    "target_vocab_file": "target_vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
}

_lowercase       :						List[str]						={
    "source_spm": {
        "Helsinki-NLP/opus-mt-en-de": "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm"
    },
    "target_spm": {
        "Helsinki-NLP/opus-mt-en-de": "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm"
    },
    "vocab": {
        "Helsinki-NLP/opus-mt-en-de": "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json"
    },
    "tokenizer_config_file": {
        "Helsinki-NLP/opus-mt-en-de": (
            "https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json"
        )
    },
}

_lowercase       :						Optional[int]						={"Helsinki-NLP/opus-mt-en-de": 512}
_lowercase       :						List[Any]						={}






class 			_SCREAMING_SNAKE_CASE				(lowerCAmelCase_      ):
			A__								=  VOCAB_FILES_NAMES
			A__								=  PRETRAINED_VOCAB_FILES_MAP
			A__								=  PRETRAINED_INIT_CONFIGURATION
			A__								=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			A__								=  ['input_ids', 'attention_mask']
			A__								=  re.compile('>>.+<<'      )  # type: re.Pattern



			def __init__(     self		:						Optional[int]    ,			__UpperCamelCase		:						str    ,			__UpperCamelCase		:						List[Any]    ,			__UpperCamelCase		:						int    ,			__UpperCamelCase		:						Tuple=None    ,			__UpperCamelCase		:						Tuple=None    ,			__UpperCamelCase		:						Dict=None    ,			__UpperCamelCase		:						Dict="<unk>"    ,			__UpperCamelCase		:						Optional[Any]="</s>"    ,			__UpperCamelCase		:						List[str]="<pad>"    ,			__UpperCamelCase		:						Any=512    ,			__UpperCamelCase		:						Optional[Dict[str, Any]] = None    ,			__UpperCamelCase		:						str=False    ,			**__UpperCamelCase		:						List[str]    ,			)      ->      None:
							"""simple docstring"""





							snake_case__      :   Union[str, Any]      =    {} if sp_model_kwargs is None else sp_model_kwargs

							super().__init__(
							    # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
							    source_lang=__UpperCamelCase    ,			target_lang=__UpperCamelCase    ,			unk_token=__UpperCamelCase    ,			eos_token=__UpperCamelCase    ,			pad_token=__UpperCamelCase    ,			model_max_length=__UpperCamelCase    ,			sp_model_kwargs=self.sp_model_kwargs    ,			target_vocab_file=__UpperCamelCase    ,			separate_vocabs=__UpperCamelCase    ,			**__UpperCamelCase    ,			)
							assert Path(__UpperCamelCase			).exists(), F'''cannot find spm source {source_spm}'''

							snake_case__      :   Union[str, Any]      =    separate_vocabs
							snake_case__      :   int      =    load_json(__UpperCamelCase			)
							if self.unk_token not in self.encoder:
											raise KeyError('''<unk> token must be in vocab'''			)
							assert self.pad_token in self.encoder

							if separate_vocabs:
											snake_case__      :   List[str]      =    load_json(__UpperCamelCase			)
											snake_case__      :   List[str]      =    {v: k for k, v in self.target_encoder.items()}
											snake_case__      :   List[str]      =    []
							else:
											snake_case__      :   List[str]      =    {v: k for k, v in self.encoder.items()}
											snake_case__      :   list      =    [k for k in self.encoder if k.startswith('''>>'''			) and k.endswith('''<<'''			)]

							snake_case__      :   List[str]      =    source_lang
							snake_case__      :   Optional[int]      =    target_lang
							snake_case__      :   Union[str, Any]      =    [source_spm, target_spm]

							# load SentencePiece model for pre-processing
							snake_case__      :   Optional[Any]      =    load_spm(__UpperCamelCase    ,			self.sp_model_kwargs			)
							snake_case__      :   Any      =    load_spm(__UpperCamelCase    ,			self.sp_model_kwargs			)
							snake_case__      :   str      =    self.spm_source
							snake_case__      :   List[str]      =    self.encoder

							# Multilingual target side: default to using first supported language code.

							self._setup_normalizer()



			def 				lowerCAmelCase (     self		:						Dict			)      ->      str:
							"""simple docstring"""





							try:
											from sacremoses import MosesPunctNormalizer

											snake_case__      :   List[Any]      =    MosesPunctNormalizer(self.source_lang			).normalize
							except (ImportError, FileNotFoundError):
											warnings.warn('''Recommended: pip install sacremoses.'''			)
											snake_case__      :   Any      =    lambda __UpperCamelCase			: x



			def 				lowerCAmelCase (     self		:						Dict    ,			__UpperCamelCase		:						str			)      ->      str:
							"""simple docstring"""





							return self.punc_normalizer(__UpperCamelCase			) if x else ""



			def 				lowerCAmelCase (     self		:						str    ,			__UpperCamelCase		:						Union[str, Any]			)      ->      Union[str, Any]:
							"""simple docstring"""





							return self.current_encoder.get(__UpperCamelCase    ,			self.current_encoder[self.unk_token]			)



			def 				lowerCAmelCase (     self		:						Any    ,			__UpperCamelCase		:						str			)      ->      Optional[int]:
							"""simple docstring"""





							snake_case__      :   int      =    self.language_code_re.match(__UpperCamelCase			)
							snake_case__      :   list      =    [match.group(0			)] if match else []
							return code, self.language_code_re.sub(''''''    ,			__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						Tuple    ,			__UpperCamelCase		:						str			)      ->      List[str]:
							"""simple docstring"""





							snake_case__      :   Optional[int]      =    self.remove_language_code(__UpperCamelCase			)
							snake_case__      :   int      =    self.current_spm.encode(__UpperCamelCase    ,			out_type=__UpperCamelCase			)
							return code + pieces



			def 				lowerCAmelCase (     self		:						List[Any]    ,			__UpperCamelCase		:						int			)      ->      str:
							"""simple docstring"""





							return self.decoder.get(__UpperCamelCase    ,			self.unk_token			)



			def 				lowerCAmelCase (     self		:						Tuple    ,			__UpperCamelCase		:						Optional[int]    ,			**__UpperCamelCase		:						int			)      ->      Dict:
							"""simple docstring"""





							return super().batch_decode(__UpperCamelCase    ,			**__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						List[Any]    ,			__UpperCamelCase		:						int    ,			**__UpperCamelCase		:						Optional[Any]			)      ->      Tuple:
							"""simple docstring"""





							return super().decode(__UpperCamelCase    ,			**__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						List[str]    ,			__UpperCamelCase		:						List[str]			)      ->      str:
							"""simple docstring"""





							snake_case__      :   Optional[Any]      =    self.spm_source if self._decode_use_source_tokenizer else self.spm_target
							snake_case__      :   str      =    []
							snake_case__      :   List[str]      =    ''''''
							for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
															out_string += sp_model.decode_pieces(__UpperCamelCase			) + token + " "
															snake_case__      :   Optional[int]      =    []
											else:
															current_sub_tokens.append(__UpperCamelCase			)
							out_string += sp_model.decode_pieces(__UpperCamelCase			)
							return out_string.strip()



			def 				lowerCAmelCase (     self		:						List[str]    ,			__UpperCamelCase		:						List[Any]    ,			__UpperCamelCase		:						int=None			)      ->      List[int]:
							"""simple docstring"""





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



			def 				lowerCAmelCase (     self		:						Optional[Any]			)      ->      Optional[Any]:
							"""simple docstring"""





							snake_case__      :   List[str]      =    self.spm_source
							snake_case__      :   Optional[int]      =    self.encoder



			def 				lowerCAmelCase (     self		:						Dict			)      ->      Optional[int]:
							"""simple docstring"""





							snake_case__      :   Optional[int]      =    self.spm_target
							if self.separate_vocabs:
											snake_case__      :   Union[str, Any]      =    self.target_encoder



			@property
			def 				lowerCAmelCase (     self		:						Optional[Any]			)      ->      int:
							"""simple docstring"""





							return len(self.encoder			)



			def 				lowerCAmelCase (     self		:						List[Any]    ,			__UpperCamelCase		:						str    ,			__UpperCamelCase		:						Optional[str] = None			)      ->      Tuple[str]:
							"""simple docstring"""





							if not os.path.isdir(__UpperCamelCase			):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
											return
							snake_case__      :   Union[str, Any]      =    []

							if self.separate_vocabs:
											snake_case__      :   Optional[int]      =    os.path.join(
											    __UpperCamelCase    ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']    ,			)
											snake_case__      :   Union[str, Any]      =    os.path.join(
											    __UpperCamelCase    ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''target_vocab_file''']    ,			)
											save_json(self.encoder    ,			__UpperCamelCase			)
											save_json(self.target_encoder    ,			__UpperCamelCase			)
											saved_files.append(__UpperCamelCase			)
											saved_files.append(__UpperCamelCase			)
							else:
											snake_case__      :   Dict      =    os.path.join(
											    __UpperCamelCase    ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']			)
											save_json(self.encoder    ,			__UpperCamelCase			)
											saved_files.append(__UpperCamelCase			)

							for spm_save_filename, spm_orig_path, spm_model in zip(
							    [VOCAB_FILES_NAMES['''source_spm'''], VOCAB_FILES_NAMES['''target_spm''']]    ,			self.spm_files    ,			[self.spm_source, self.spm_target]    ,			):
											snake_case__      :   str      =    os.path.join(
											    __UpperCamelCase    ,			(filename_prefix + '''-''' if filename_prefix else '''''') + spm_save_filename			)
											if os.path.abspath(__UpperCamelCase			) != os.path.abspath(__UpperCamelCase			) and os.path.isfile(__UpperCamelCase			):
															copyfile(__UpperCamelCase    ,			__UpperCamelCase			)
															saved_files.append(__UpperCamelCase			)
											elif not os.path.isfile(__UpperCamelCase			):
															with open(__UpperCamelCase    ,			'''wb'''			) as fi:
																			snake_case__      :   Union[str, Any]      =    spm_model.serialized_model_proto()
																			fi.write(__UpperCamelCase			)
															saved_files.append(__UpperCamelCase			)

							return tuple(__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						Optional[Any]			)      ->      Dict:
							"""simple docstring"""





							return self.get_src_vocab()



			def 				lowerCAmelCase (     self		:						Dict			)      ->      List[str]:
							"""simple docstring"""





							return dict(self.encoder    ,			**self.added_tokens_encoder			)



			def 				lowerCAmelCase (     self		:						Union[str, Any]			)      ->      str:
							"""simple docstring"""





							return dict(self.target_encoder    ,			**self.added_tokens_decoder			)



			def __getstate__(     self		:						Union[str, Any]			)      ->      Dict:
							"""simple docstring"""





							snake_case__      :   int      =    self.__dict__.copy()
							state.update(
							    {k: None for k in ['''spm_source''', '''spm_target''', '''current_spm''', '''punc_normalizer''', '''target_vocab_file''']}			)
							return state



			def __setstate__(     self		:						Union[str, Any]    ,			__UpperCamelCase		:						Dict			)      ->      None:
							"""simple docstring"""





							snake_case__      :   Dict      =    d

							# for backward compatibility
							if not hasattr(self    ,			'''sp_model_kwargs'''			):
											snake_case__      :   Optional[int]      =    {}

							snake_case__      :   Optional[Any]      =    (load_spm(__UpperCamelCase    ,			self.sp_model_kwargs			) for f in self.spm_files)
							snake_case__      :   str      =    self.spm_source
							self._setup_normalizer()



			def 				lowerCAmelCase (     self		:						List[Any]    ,			*__UpperCamelCase		:						Dict    ,			**__UpperCamelCase		:						Tuple			)      ->      Dict:
							"""simple docstring"""





							return 1



			def 				lowerCAmelCase (     self		:						Union[str, Any]    ,			__UpperCamelCase		:						Any			)      ->      Tuple:
							"""simple docstring"""





							snake_case__      :   List[str]      =    set(self.all_special_ids			)  # call it once instead of inside list comp
							all_special_ids.remove(self.unk_token_id			)  # <unk> is only sometimes special
							return [1 if x in all_special_ids else 0 for x in seq]







			def 				lowerCAmelCase (     self		:						List[Any]    ,			__UpperCamelCase		:						List    ,			__UpperCamelCase		:						Optional[List] = None    ,			__UpperCamelCase		:						bool = False			)      ->      List[int]:
							"""simple docstring"""





							if already_has_special_tokens:
											return self._special_token_mask(__UpperCamelCase			)
							elif token_ids_a is None:
											return self._special_token_mask(__UpperCamelCase			) + [1]
							else:
											return self._special_token_mask(token_ids_a + token_ids_a			) + [1]



def 							__UpperCAmelCase				(				UpperCamelCase__				:str   ,				UpperCamelCase__				:Dict[str, Any]			)		->						Union[str, Any]:
				snake_case__      :   Union[str, Any]      =    sentencepiece.SentencePieceProcessor(**__lowerCamelCase			)
				spm.Load(__lowerCamelCase			)
				return spm


def 							__UpperCAmelCase				(				UpperCamelCase__				:List[str]   ,				UpperCamelCase__				:str			)		->						List[Any]:
				with open(__lowerCamelCase   ,				'''w'''			) as f:
								json.dump(__lowerCamelCase   ,				__lowerCamelCase   ,				indent=2			)



def 							__UpperCAmelCase				(				UpperCamelCase__				:str			)		->						Optional[Any]:
				with open(__lowerCamelCase   ,				'''r'''			) as f:
								return json.load(__lowerCamelCase			)









"""simple docstring"""






_lowercase					:					str 		=		{
    0: "underwear",
    1: "pants",
    2: "belt",
    3: "suit",
    4: "shoe",
    5: "socks",
    6: "shirt",
    7: "tie",
    8: "watch",
}

_lowercase					:					Dict 		=		[[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

_lowercase					:					Union[str, Any] 		=		[0 for x in range(len(graph))]
_lowercase					:					Union[str, Any] 		=		[]






def 	snake_case__  (						__lowerCamelCase							:       Optional[int]				,						__lowerCamelCase							:       Dict      ):
			"""simple docstring"""
			lowerCamelCase__						:						int						      =1
			while stack:
						lowerCamelCase__						:						int						      =stack.pop()
						print(__lowerCamelCase				,						clothes[current_clothing]      )
						order += 1






def 	snake_case__  (						__lowerCamelCase							:       Optional[Any]				,						__lowerCamelCase							:       str				,						__lowerCamelCase							:       Tuple      ):
			"""simple docstring"""
			lowerCamelCase__						:						Dict						      =1
			for v in graph[u]:
						if not visited[v]:
									depth_first_search(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )

			stack.append(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       Optional[Any]				,						__lowerCamelCase							:       Optional[Any]      ):
			"""simple docstring"""
			for v in range(len(__lowerCamelCase      )      ):
						if not visited[v]:
									depth_first_search(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )


if __name__ == "__main__":
		topological_sort(graph, visited)
		print(stack)
		print_stack(stack, clothes)




