




"""simple docstring"""

import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

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


UpperCamelCase__			:     str			       =				logging.get_logger(__name__)

UpperCamelCase__			:     Any			       =				{
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

UpperCamelCase__			:     Optional[int]			       =				{
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

UpperCamelCase__			:     Optional[Any]			       =				{"stas/tiny-wmt19-en-de": 10_24}
UpperCamelCase__			:     str			       =				{
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 10_24,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}




def    snake_case__						(							lowerCAmelCase :		Optional[int]		):
					__snake_case        =						set()
					__snake_case        =						word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)		)
										__snake_case        =						char
					return pairs




def    snake_case__						(							lowerCAmelCase :		List[str]		):
					__snake_case        =						text.replace("""，"""					,       ""","""		)
					__snake_case        =						re.sub(R"""。\s*"""					,       """. """					,       lowerCAmelCase		)
					__snake_case        =						text.replace("""、"""					,       ""","""		)
					__snake_case        =						text.replace("""”"""					,       """\""""		)
					__snake_case        =						text.replace("""“"""					,       """\""""		)
					__snake_case        =						text.replace("""∶"""					,       """:"""		)
					__snake_case        =						text.replace("""："""					,       """:"""		)
					__snake_case        =						text.replace("""？"""					,       """?"""		)
					__snake_case        =						text.replace("""《"""					,       """\""""		)
					__snake_case        =						text.replace("""》"""					,       """\""""		)
					__snake_case        =						text.replace("""）"""					,       """)"""		)
					__snake_case        =						text.replace("""！"""					,       """!"""		)
					__snake_case        =						text.replace("""（"""					,       """("""		)
					__snake_case        =						text.replace("""；"""					,       """;"""		)
					__snake_case        =						text.replace("""１"""					,       """1"""		)
					__snake_case        =						text.replace("""」"""					,       """\""""		)
					__snake_case        =						text.replace("""「"""					,       """\""""		)
					__snake_case        =						text.replace("""０"""					,       """0"""		)
					__snake_case        =						text.replace("""３"""					,       """3"""		)
					__snake_case        =						text.replace("""２"""					,       """2"""		)
					__snake_case        =						text.replace("""５"""					,       """5"""		)
					__snake_case        =						text.replace("""６"""					,       """6"""		)
					__snake_case        =						text.replace("""９"""					,       """9"""		)
					__snake_case        =						text.replace("""７"""					,       """7"""		)
					__snake_case        =						text.replace("""８"""					,       """8"""		)
					__snake_case        =						text.replace("""４"""					,       """4"""		)
					__snake_case        =						re.sub(R"""．\s*"""					,       """. """					,       lowerCAmelCase		)
					__snake_case        =						text.replace("""～"""					,       """~"""		)
					__snake_case        =						text.replace("""’"""					,       """'"""		)
					__snake_case        =						text.replace("""…"""					,       """..."""		)
					__snake_case        =						text.replace("""━"""					,       """-"""		)
					__snake_case        =						text.replace("""〈"""					,       """<"""		)
					__snake_case        =						text.replace("""〉"""					,       """>"""		)
					__snake_case        =						text.replace("""【"""					,       """["""		)
					__snake_case        =						text.replace("""】"""					,       """]"""		)
					__snake_case        =						text.replace("""％"""					,       """%"""		)
					return text




def    snake_case__						(							lowerCAmelCase :		Optional[Any]		):
					__snake_case        =						[]
					for char in text:
										__snake_case        =						unicodedata.category(lowerCAmelCase		)
										if cat.startswith("""C"""		):
															continue
										output.append(lowerCAmelCase		)
					return "".join(lowerCAmelCase		)

class      A__   (   lowercase_  ):
	A_				:					Union[str, Any]      =   VOCAB_FILES_NAMES
	A_				:					Optional[Any]      =   PRETRAINED_VOCAB_FILES_MAP
	A_				:					Union[str, Any]      =   PRETRAINED_INIT_CONFIGURATION
	A_				:					Dict      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A_				:					Union[str, Any]      =   ["""input_ids""", """attention_mask"""]




	def __init__( self	:						Dict   ,     lowercase	:						int=None   ,     lowercase	:						Dict=None   ,     lowercase	:						List[Any]=None   ,     lowercase	:						Optional[int]=None   ,     lowercase	:						Optional[Any]=False   ,     lowercase	:						Optional[Any]="<unk>"   ,     lowercase	:						List[Any]="<s>"   ,     lowercase	:						Dict="</s>"   ,     lowercase	:						Union[str, Any]="<pad>"   ,     **lowercase	:						Optional[Any]   ,     )       ->			Any:
						super().__init__(
						    langs=lowercase   ,     src_vocab_file=lowercase   ,     tgt_vocab_file=lowercase   ,     merges_file=lowercase   ,     do_lower_case=lowercase   ,     unk_token=lowercase   ,     bos_token=lowercase   ,     sep_token=lowercase   ,     pad_token=lowercase   ,     **lowercase   ,     )

						try:
											import sacremoses
						except ImportError:
											raise ImportError(
											    """You need to install sacremoses to use XLMTokenizer. """
											    """See https://pypi.org/project/sacremoses/ for installation."""						)

						__snake_case        =						sacremoses

						__snake_case        =						src_vocab_file
						__snake_case        =						tgt_vocab_file
						__snake_case        =						merges_file
						__snake_case        =						do_lower_case

						# cache of sm.MosesPunctNormalizer instance
						__snake_case        =						{}
						# cache of sm.MosesTokenizer instance
						__snake_case        =						{}
						__snake_case        =						{}

						if langs and len(lowercase						) == 2:
											__snake_case   ,   __snake_case        =						langs
						else:
											raise ValueError(
											    f'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
											    """Usually that means that tokenizer can't find a mapping for the given model path """
											    """in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."""						)

						with open(lowercase   ,     encoding="""utf-8"""						) as src_vocab_handle:
											__snake_case        =						json.load(lowercase						)
						with open(lowercase   ,     encoding="""utf-8"""						) as tgt_vocab_handle:
											__snake_case        =						json.load(lowercase						)
											__snake_case        =						{v: k for k, v in tgt_vocab.items()}
						with open(lowercase   ,     encoding="""utf-8"""						) as merges_handle:
											__snake_case        =						merges_handle.read().split("""\n"""						)[:-1]
						__snake_case        =						[tuple(merge.split()[:2]						) for merge in merges]
						__snake_case        =						dict(zip(lowercase   ,     range(len(lowercase						)						)						)						)
						__snake_case        =						{}




	def 				a_		( self	:						Dict						)       ->			Dict[str, int]:
						return self.get_src_vocab()




	@property
	def 				a_		( self	:						int						)       ->			int:
						return self.src_vocab_size




	def 				a_		( self	:						str   ,     lowercase	:						Optional[Any]   ,     lowercase	:						Tuple						)       ->			Optional[int]:
						if lang not in self.cache_moses_punct_normalizer:
											__snake_case        =						self.sm.MosesPunctNormalizer(lang=lowercase						)
											__snake_case        =						punct_normalizer
						return self.cache_moses_punct_normalizer[lang].normalize(lowercase						)




	def 				a_		( self	:						Tuple   ,     lowercase	:						int   ,     lowercase	:						List[Any]						)       ->			Union[str, Any]:
						if lang not in self.cache_moses_tokenizer:
											__snake_case        =						self.sm.MosesTokenizer(lang=lowercase						)
											__snake_case        =						moses_tokenizer
						return self.cache_moses_tokenizer[lang].tokenize(
						    lowercase   ,     aggressive_dash_splits=lowercase   ,     return_str=lowercase   ,     escape=lowercase						)




	def 				a_		( self	:						Tuple   ,     lowercase	:						str   ,     lowercase	:						Dict						)       ->			Any:
						if lang not in self.cache_moses_detokenizer:
											__snake_case        =						self.sm.MosesDetokenizer(lang=lowercase						)
											__snake_case        =						moses_detokenizer
						return self.cache_moses_detokenizer[lang].detokenize(lowercase						)




	def 				a_		( self	:						Dict   ,     lowercase	:						Dict   ,     lowercase	:						str						)       ->			str:
						__snake_case        =						replace_unicode_punct(lowercase						)
						__snake_case        =						self.moses_punct_norm(lowercase   ,     lowercase						)
						__snake_case        =						remove_non_printing_char(lowercase						)
						return text




	@property
	def 				a_		( self	:						Union[str, Any]						)       ->			Union[str, Any]:
						return len(self.encoder						)




	@property
	def 				a_		( self	:						Optional[Any]						)       ->			Union[str, Any]:
						return len(self.decoder						)




	def 				a_		( self	:						Optional[int]						)       ->			Dict:
						return dict(self.encoder   ,     **self.added_tokens_encoder						)




	def 				a_		( self	:						Any						)       ->			Dict:
						return dict(self.decoder   ,     **self.added_tokens_decoder						)




	def 				a_		( self	:						Optional[Any]   ,     lowercase	:						Tuple						)       ->			Union[str, Any]:
						__snake_case        =						tuple(token[:-1]						) + (token[-1] + """</w>""",)
						if token in self.cache:
											return self.cache[token]
						__snake_case        =						get_pairs(lowercase						)

						if not pairs:
											return token + "</w>"

						while True:
											__snake_case        =						min(lowercase   ,     key=lambda lowercase						: self.bpe_ranks.get(lowercase   ,     float("""inf"""						)						)						)
											if bigram not in self.bpe_ranks:
																break
											__snake_case   ,   __snake_case        =						bigram
											__snake_case        =						[]
											__snake_case        =						0
											while i < len(lowercase						):
																try:
																					__snake_case        =						word.index(lowercase   ,     lowercase						)
																except ValueError:
																					new_word.extend(word[i:]						)
																					break
																else:
																					new_word.extend(word[i:j]						)
																					__snake_case        =						j

																if word[i] == first and i < len(lowercase						) - 1 and word[i + 1] == second:
																					new_word.append(first + second						)
																					i += 2
																else:
																					new_word.append(word[i]						)
																					i += 1
											__snake_case        =						tuple(lowercase						)
											__snake_case        =						new_word
											if len(lowercase						) == 1:
																break
											else:
																__snake_case        =						get_pairs(lowercase						)
						__snake_case        =						""" """.join(lowercase						)
						if word == "\n  </w>":
											__snake_case        =						"""\n</w>"""
						__snake_case        =						word
						return word




	def 				a_		( self	:						Optional[Any]   ,     lowercase	:						Any   ,     lowercase	:						Dict="en"   ,     lowercase	:						Any=False						)       ->			Union[str, Any]:
						__snake_case        =						self.src_lang

						if self.do_lower_case:
											__snake_case        =						text.lower()

						if bypass_tokenizer:
											__snake_case        =						text.split()
						else:
											__snake_case        =						self.moses_pipeline(lowercase   ,     lang=lowercase						)
											__snake_case        =						self.moses_tokenize(lowercase   ,     lang=lowercase						)

						__snake_case        =						[]
						for token in text:
											if token:
																split_tokens.extend(list(self.bpe(lowercase						).split(""" """						)						)						)

						return split_tokens




	def 				a_		( self	:						Union[str, Any]   ,     lowercase	:						Any						)       ->			Optional[Any]:
						return self.encoder.get(lowercase   ,     self.encoder.get(self.unk_token						)						)




	def 				a_		( self	:						List[str]   ,     lowercase	:						Any						)       ->			Tuple:
						return self.decoder.get(lowercase   ,     self.unk_token						)




	def 				a_		( self	:						Any   ,     lowercase	:						Union[str, Any]						)       ->			Optional[Any]:
						__snake_case        =						[t.replace(""" """   ,     """"""						).replace("""</w>"""   ,     """ """						) for t in tokens]
						__snake_case        =						"""""".join(lowercase						).split()
						# detokenize
						__snake_case        =						self.moses_detokenize(lowercase   ,     self.tgt_lang						)
						return text




	def 				a_		( self	:						Optional[int]   ,     lowercase	:						List[int]   ,     lowercase	:						Optional[List[int]] = None						)       ->			List[int]:
						__snake_case        =						[self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
											return token_ids_a + sep
						return token_ids_a + sep + token_ids_a + sep




	def 				a_		( self	:						Optional[int]   ,     lowercase	:						List[int]   ,     lowercase	:						Optional[List[int]] = None   ,     lowercase	:						bool = False						)       ->			List[int]:

						if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowercase   ,     token_ids_a=lowercase   ,     already_has_special_tokens=lowercase						)
						# no bos used in fairseq
						if token_ids_a is not None:
											return ([0] * len(lowercase						)) + [1] + ([0] * len(lowercase						)) + [1]
						return ([0] * len(lowercase						)) + [1]




	def 				a_		( self	:						List[str]   ,     lowercase	:						List[int]   ,     lowercase	:						Optional[List[int]] = None						)       ->			List[int]:
						__snake_case        =						[self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
											return len(token_ids_a + sep						) * [0]
						return len(token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]




	def 				a_		( self	:						Optional[Any]   ,     lowercase	:						str   ,     lowercase	:						Optional[str] = None						)       ->			Tuple[str]:
						if not os.path.isdir(lowercase						):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
											return

						__snake_case        =						os.path.join(
						    lowercase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""]						)
						__snake_case        =						os.path.join(
						    lowercase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""]						)
						__snake_case        =						os.path.join(
						    lowercase   ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]						)

						with open(lowercase   ,     """w"""   ,     encoding="""utf-8"""						) as f:
											f.write(json.dumps(self.encoder   ,     indent=2   ,     sort_keys=lowercase   ,     ensure_ascii=lowercase						) + """\n"""						)

						with open(lowercase   ,     """w"""   ,     encoding="""utf-8"""						) as f:
											__snake_case        =						{v: k for k, v in self.decoder.items()}
											f.write(json.dumps(lowercase   ,     indent=2   ,     sort_keys=lowercase   ,     ensure_ascii=lowercase						) + """\n"""						)

						__snake_case        =						0
						with open(lowercase   ,     """w"""   ,     encoding="""utf-8"""						) as writer:
											for bpe_tokens, token_index in sorted(self.bpe_ranks.items()   ,     key=lambda lowercase						: kv[1]						):
																if index != token_index:
																					logger.warning(
																					    f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
																					    """ Please check that the tokenizer is not corrupted!"""						)
																					__snake_case        =						token_index
																writer.write(""" """.join(lowercase						) + """\n"""						)
																index += 1

						return src_vocab_file, tgt_vocab_file, merges_file




	def __getstate__( self	:						int						)       ->			List[str]:
						__snake_case        =						self.__dict__.copy()
						__snake_case        =						None
						return state




	def __setstate__( self	:						Optional[Any]   ,     lowercase	:						List[str]						)       ->			int:
						__snake_case        =						d

						try:
											import sacremoses
						except ImportError:
											raise ImportError(
											    """You need to install sacremoses to use XLMTokenizer. """
											    """See https://pypi.org/project/sacremoses/ for installation."""						)

						__snake_case        =						sacremoses








"""simple docstring"""

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__			:     List[Any]			       =				logging.get_logger(__name__)

UpperCamelCase__			:     List[str]			       =				{}
class      A__   (   lowercase_  ):
	A_				:					Dict      =   """fsmt_decoder"""




	def __init__( self	:						List[Any]   ,     lowercase	:						Any=0   ,     lowercase	:						Dict=0						)       ->			str:
						super().__init__()
						__snake_case        =						vocab_size
						__snake_case        =						bos_token_id

class      A__   (   lowercase_  ):
	A_				:					Union[str, Any]      =   """fsmt"""
	A_				:					int      =   {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}




	def __init__( self	:						Optional[Any]   ,     lowercase	:						Any=["en", "de"]   ,     lowercase	:						Optional[int]=42_024   ,     lowercase	:						Optional[int]=42_024   ,     lowercase	:						Tuple="relu"   ,     lowercase	:						Tuple=1_024   ,     lowercase	:						Union[str, Any]=200   ,     lowercase	:						List[str]=1_024   ,     lowercase	:						Tuple=4_096   ,     lowercase	:						int=12   ,     lowercase	:						Any=16   ,     lowercase	:						List[Any]=0.0   ,     lowercase	:						str=4_096   ,     lowercase	:						str=12   ,     lowercase	:						Optional[int]=16   ,     lowercase	:						Dict=0.0   ,     lowercase	:						Any=0.0   ,     lowercase	:						Union[str, Any]=0.1   ,     lowercase	:						Tuple=0.0   ,     lowercase	:						List[str]=0.02   ,     lowercase	:						int=2   ,     lowercase	:						Any=True   ,     lowercase	:						int=True   ,     lowercase	:						int=False   ,     lowercase	:						List[str]=5   ,     lowercase	:						List[Any]=1.0   ,     lowercase	:						Union[str, Any]=False   ,     lowercase	:						Optional[Any]=True   ,     lowercase	:						int=1   ,     lowercase	:						Any=0   ,     lowercase	:						Optional[Any]=2   ,     lowercase	:						Any=2   ,     **lowercase	:						List[Any]   ,     )       ->			Union[str, Any]:
						__snake_case        =						langs
						__snake_case        =						src_vocab_size
						__snake_case        =						tgt_vocab_size
						__snake_case        =						d_model  # encoder_embed_dim and decoder_embed_dim

						__snake_case        =						encoder_ffn_dim
						__snake_case        =						__snake_case        =						encoder_layers
						__snake_case        =						encoder_attention_heads
						__snake_case        =						encoder_layerdrop
						__snake_case        =						decoder_layerdrop
						__snake_case        =						decoder_ffn_dim
						__snake_case        =						decoder_layers
						__snake_case        =						decoder_attention_heads
						__snake_case        =						max_position_embeddings
						__snake_case        =						init_std  # Normal(0, this parameter)
						__snake_case        =						activation_function

						__snake_case        =						DecoderConfig(vocab_size=lowercase   ,     bos_token_id=lowercase						)
						if "decoder" in common_kwargs:
											del common_kwargs["decoder"]

						__snake_case        =						scale_embedding  # scale factor will be sqrt(d_model) if True

						# 3 Types of Dropout
						__snake_case        =						attention_dropout
						__snake_case        =						activation_dropout
						__snake_case        =						dropout

						__snake_case        =						use_cache
						super().__init__(
						    pad_token_id=lowercase   ,     bos_token_id=lowercase   ,     eos_token_id=lowercase   ,     decoder_start_token_id=lowercase   ,     is_encoder_decoder=lowercase   ,     tie_word_embeddings=lowercase   ,     forced_eos_token_id=lowercase   ,     max_length=lowercase   ,     num_beams=lowercase   ,     length_penalty=lowercase   ,     early_stopping=lowercase   ,     **lowercase   ,     )




	def 				a_		( self	:						Union[str, Any]						)       ->			Dict:
						__snake_case        =						copy.deepcopy(self.__dict__						)
						__snake_case        =						self.decoder.to_dict()
						__snake_case        =						self.__class__.model_type
						return output


