

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

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


lowerCamelCase   					=  logging.get_logger(__name__)

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

lowerCamelCase   					=  {
    "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"},
}

lowerCamelCase   					=  {"stas/tiny-wmt19-en-de": 1_0_2_4}
lowerCamelCase   					=  {
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1_0_2_4,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					__lowerCAmelCase       =				set()
					__lowerCAmelCase       =				word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)   )
										__lowerCAmelCase       =				char
					return pairs


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






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


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					__lowerCAmelCase       =				[]
					for char in text:
										__lowerCAmelCase       =				unicodedata.category(UpperCAmelCase__   )
										if cat.startswith('C'   ):
															continue
										output.append(UpperCAmelCase__   )
					return "".join(UpperCAmelCase__   )





class      snake_case_      (					_a				):


							"""simple docstring"""





							__UpperCAmelCase      =VOCAB_FILES_NAMES
							__UpperCAmelCase      =PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase      =PRETRAINED_INIT_CONFIGURATION
							__UpperCAmelCase      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase      =["""input_ids""", """attention_mask"""]




							def __init__(			self       ,    _A=None       ,    _A=None       ,    _A=None       ,    _A=None       ,    _A=False       ,    _A="<unk>"       ,    _A="<s>"       ,    _A="</s>"       ,    _A="<pad>"       ,    **_A       ,    ):
												super().__init__(
												    langs=lowerCamelCase_       ,    src_vocab_file=lowerCamelCase_       ,    tgt_vocab_file=lowerCamelCase_       ,    merges_file=lowerCamelCase_       ,    do_lower_case=lowerCamelCase_       ,    unk_token=lowerCamelCase_       ,    bos_token=lowerCamelCase_       ,    sep_token=lowerCamelCase_       ,    pad_token=lowerCamelCase_       ,    **lowerCamelCase_       ,    )

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

												__lowerCAmelCase       =				sacremoses

												__lowerCAmelCase       =				src_vocab_file
												__lowerCAmelCase       =				tgt_vocab_file
												__lowerCAmelCase       =				merges_file
												__lowerCAmelCase       =				do_lower_case

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

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




							def 							A__	(			self				):
												return self.get_src_vocab()




							@property
							def 							A__	(			self				):
												return self.src_vocab_size




							def 							A__	(			self       ,    _A       ,    _A				):

												if lang not in self.cache_moses_punct_normalizer:
																	__lowerCAmelCase       =				self.sm.MosesPunctNormalizer(lang=lowerCamelCase_				)
																	__lowerCAmelCase       =				punct_normalizer
												return self.cache_moses_punct_normalizer[lang].normalize(lowerCamelCase_				)




							def 							A__	(			self       ,    _A       ,    _A				):

												if lang not in self.cache_moses_tokenizer:
																	__lowerCAmelCase       =				self.sm.MosesTokenizer(lang=lowerCamelCase_				)
																	__lowerCAmelCase       =				moses_tokenizer
												return self.cache_moses_tokenizer[lang].tokenize(
												    lowerCamelCase_       ,    aggressive_dash_splits=lowerCamelCase_       ,    return_str=lowerCamelCase_       ,    escape=lowerCamelCase_				)




							def 							A__	(			self       ,    _A       ,    _A				):

												if lang not in self.cache_moses_detokenizer:
																	__lowerCAmelCase       =				self.sm.MosesDetokenizer(lang=lowerCamelCase_				)
																	__lowerCAmelCase       =				moses_detokenizer
												return self.cache_moses_detokenizer[lang].detokenize(lowerCamelCase_				)




							def 							A__	(			self       ,    _A       ,    _A				):
												__lowerCAmelCase       =				replace_unicode_punct(lowerCamelCase_				)
												__lowerCAmelCase       =				self.moses_punct_norm(lowerCamelCase_       ,    lowerCamelCase_				)
												__lowerCAmelCase       =				remove_non_printing_char(lowerCamelCase_				)
												return text




							@property
							def 							A__	(			self				):
												return len(self.encoder				)




							@property
							def 							A__	(			self				):
												return len(self.decoder				)




							def 							A__	(			self				):
												return dict(self.encoder       ,    **self.added_tokens_encoder				)




							def 							A__	(			self				):
												return dict(self.decoder       ,    **self.added_tokens_decoder				)




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				tuple(token[:-1]				) + (token[-1] + '</w>',)
												if token in self.cache:
																	return self.cache[token]
												__lowerCAmelCase       =				get_pairs(lowerCamelCase_				)

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

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

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




							def 							A__	(			self       ,    _A       ,    _A="en"       ,    _A=False				):
												__lowerCAmelCase       =				self.src_lang

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

												if bypass_tokenizer:
																	__lowerCAmelCase       =				text.split()
												else:
																	__lowerCAmelCase       =				self.moses_pipeline(lowerCamelCase_       ,    lang=lowerCamelCase_				)
																	__lowerCAmelCase       =				self.moses_tokenize(lowerCamelCase_       ,    lang=lowerCamelCase_				)

												__lowerCAmelCase       =				[]
												for token in text:
																	if token:
																						split_tokens.extend(list(self.bpe(lowerCamelCase_				).split(' '				)				)				)

												return split_tokens




							def 							A__	(			self       ,    _A				):
												return self.encoder.get(lowerCamelCase_       ,    self.encoder.get(self.unk_token				)				)




							def 							A__	(			self       ,    _A				):
												return self.decoder.get(lowerCamelCase_       ,    self.unk_token				)




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				[t.replace(' '       ,    ''				).replace('</w>'       ,    ' '				) for t in tokens]
												__lowerCAmelCase       =				''.join(lowerCamelCase_				).split()
												# detokenize
												__lowerCAmelCase       =				self.moses_detokenize(lowerCamelCase_       ,    self.tgt_lang				)
												return text




							def 							A__	(			self       ,    _A       ,    _A = None				):
												__lowerCAmelCase       =				[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       ,    _A       ,    _A = None       ,    _A = 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_				)
												# no bos used in fairseq
												if token_ids_a is not None:
																	return ([0] * len(lowerCamelCase_				)) + [1] + ([0] * len(lowerCamelCase_				)) + [1]
												return ([0] * len(lowerCamelCase_				)) + [1]




							def 							A__	(			self       ,    _A       ,    _A = None				):
												__lowerCAmelCase       =				[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       ,    _A       ,    _A = 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['src_vocab_file']				)
												__lowerCAmelCase       =				os.path.join(
												    lowerCamelCase_       ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file']				)
												__lowerCAmelCase       =				os.path.join(
												    lowerCamelCase_       ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']				)

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

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

												__lowerCAmelCase       =				0
												with open(lowerCamelCase_       ,    'w'       ,    encoding='utf-8'				) as writer:
																	for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,    key=lambda _A				: 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!'				)
																											__lowerCAmelCase       =				token_index
																						writer.write(' '.join(lowerCamelCase_				) + '\n'				)
																						index += 1

												return src_vocab_file, tgt_vocab_file, merges_file




							def __getstate__(			self				):
												__lowerCAmelCase       =				self.__dict__.copy()
												__lowerCAmelCase       =				None
												return state




							def __setstate__(			self       ,    _A				):
												__lowerCAmelCase       =				d

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

												__lowerCAmelCase       =				sacremoses











from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase:					int      =						logging.get_logger(__name__)

_lowercase:					Dict      =						{
    "google/mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json"
}



class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""
	__A		      =				MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
	__A		      =				"mobilebert"




	def __init__(self						,			lowerCamelCase_=30522						,			lowerCamelCase_=512						,			lowerCamelCase_=24						,			lowerCamelCase_=4						,			lowerCamelCase_=512						,			lowerCamelCase_="relu"						,			lowerCamelCase_=0.0						,			lowerCamelCase_=0.1						,			lowerCamelCase_=512						,			lowerCamelCase_=2						,			lowerCamelCase_=0.02						,			lowerCamelCase_=1E-1_2						,			lowerCamelCase_=0						,			lowerCamelCase_=128						,			lowerCamelCase_=True						,			lowerCamelCase_=True						,			lowerCamelCase_=128						,			lowerCamelCase_=False						,			lowerCamelCase_=True						,			lowerCamelCase_=4						,			lowerCamelCase_="no_norm"						,			lowerCamelCase_=True						,			lowerCamelCase_=None						,			**lowerCamelCase_						,			):
						"""simple docstring"""

						super().__init__(pad_token_id=lowerCamelCase_						,			**lowerCamelCase_						)

						a   	=  vocab_size
						a   	=  hidden_size
						a   	=  num_hidden_layers
						a   	=  num_attention_heads
						a   	=  hidden_act
						a   	=  intermediate_size
						a   	=  hidden_dropout_prob
						a   	=  attention_probs_dropout_prob
						a   	=  max_position_embeddings
						a   	=  type_vocab_size
						a   	=  initializer_range
						a   	=  layer_norm_eps
						a   	=  embedding_size
						a   	=  trigram_input
						a   	=  use_bottleneck
						a   	=  intra_bottleneck_size
						a   	=  use_bottleneck_attention
						a   	=  key_query_shared_bottleneck
						a   	=  num_feedforward_networks
						a   	=  normalization_type
						a   	=  classifier_activation

						if self.use_bottleneck:
											a   	=  intra_bottleneck_size
						else:
											a   	=  hidden_size

						a   	=  classifier_dropout




class       _lowercase				(  lowerCAmelCase      ):





	"""simple docstring"""




	@property
	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						if self.task == "multiple-choice":
											a   	=  {0: "batch", 1: "choice", 2: "sequence"}
						else:
											a   	=  {0: "batch", 1: "sequence"}
						return OrderedDict(
						    [
						        ("input_ids", dynamic_axis),
						        ("attention_mask", dynamic_axis),
						        ("token_type_ids", dynamic_axis),
						    ]						)
