
import copy
import inspect

from transformers.testing_utils import require_torch, torch_device
from transformers.utils.backbone_utils import BackboneType
@require_torch
class     SCREAMING_SNAKE_CASE__      :

							"""simple docstring"""






							_snake_case       						=					()
							_snake_case       						=					True



							def       A__						(					self     )->				Union[str, Any]:





													'''simple docstring'''






													__UpperCamelCase       					=     self.config_class

													# test default config
													__UpperCamelCase       					=     config_class()
													self.assertIsNotNone(__UpperCamelCase     )
													__UpperCamelCase       					=     ['''stem'''] + [F"stage{idx}" for idx in range(1       ,		len(config.depths     ) + 1     )]
													self.assertEqual(config.stage_names       ,		__UpperCamelCase     )
													self.assertTrue(set(config.out_features     ).issubset(set(config.stage_names     )     )     )

													# Test out_features and out_indices are correctly set
													# out_features and out_indices both None
													__UpperCamelCase       					=     config_class(out_features=__UpperCamelCase       ,		out_indices=__UpperCamelCase     )
													self.assertEqual(config.out_features       ,		[config.stage_names[-1]]     )
													self.assertEqual(config.out_indices       ,		[len(config.stage_names     ) - 1]     )

													# out_features and out_indices both set
													__UpperCamelCase       					=     config_class(out_features=['''stem''', '''stage1''']       ,		out_indices=[0, 1]     )
													self.assertEqual(config.out_features       ,		['''stem''', '''stage1''']     )
													self.assertEqual(config.out_indices       ,		[0, 1]     )

													# Only out_features set
													__UpperCamelCase       					=     config_class(out_features=['''stage1''', '''stage3''']     )
													self.assertEqual(config.out_features       ,		['''stage1''', '''stage3''']     )
													self.assertEqual(config.out_indices       ,		[1, 3]     )

													# Only out_indices set
													__UpperCamelCase       					=     config_class(out_indices=[0, 2]     )
													self.assertEqual(config.out_features       ,		[config.stage_names[0], config.stage_names[2]]     )
													self.assertEqual(config.out_indices       ,		[0, 2]     )

													# Error raised when out_indices do not correspond to out_features
													with self.assertRaises(__UpperCamelCase     ):
																			__UpperCamelCase       					=     config_class(out_features=['''stage1''', '''stage2''']       ,		out_indices=[0, 2]     )



							def       A__						(					self     )->				Tuple:





													'''simple docstring'''






													__UpperCamelCase					,							__UpperCamelCase       					=     self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			__UpperCamelCase       					=     inspect.signature(model.forward     )
																			# signature.parameters is an OrderedDict => so arg_names order is deterministic
																			__UpperCamelCase       					=     [*signature.parameters.keys()]
																			__UpperCamelCase       					=     ['''pixel_values''']
																			self.assertListEqual(arg_names[:1]       ,		__UpperCamelCase     )



							def       A__						(					self     )->				Tuple:





													'''simple docstring'''






													__UpperCamelCase					,							__UpperCamelCase       					=     self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			self.assertEqual(len(model.channels     )       ,		len(config.out_features     )     )
																			__UpperCamelCase       					=     model.num_features
																			__UpperCamelCase       					=     [config.stage_names.index(__UpperCamelCase     ) for feat in config.out_features]
																			__UpperCamelCase       					=     [num_features[idx] for idx in out_indices]
																			self.assertListEqual(model.channels       ,		__UpperCamelCase     )

																			__UpperCamelCase       					=     copy.deepcopy(__UpperCamelCase     )
																			__UpperCamelCase       					=     None
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			self.assertEqual(len(model.channels     )       ,		1     )
																			self.assertListEqual(model.channels       ,		[num_features[-1]]     )

																			__UpperCamelCase       					=     copy.deepcopy(__UpperCamelCase     )
																			__UpperCamelCase       					=     None
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			self.assertEqual(len(model.channels     )       ,		1     )
																			self.assertListEqual(model.channels       ,		[num_features[-1]]     )



							def       A__						(					self     )->				int:





													'''simple docstring'''






													__UpperCamelCase					,							__UpperCamelCase       					=     self.model_tester.prepare_config_and_inputs_for_common()

													for model_class in self.all_model_classes:
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			model.to(__UpperCamelCase     )
																			model.eval()
																			__UpperCamelCase       					=     model(**__UpperCamelCase     )

																			self.assertEqual(len(result.feature_maps     )       ,		len(config.out_features     )     )
																			self.assertEqual(len(model.channels     )       ,		len(config.out_features     )     )
																			self.assertEqual(len(result.feature_maps     )       ,		len(config.out_indices     )     )
																			self.assertEqual(len(model.channels     )       ,		len(config.out_indices     )     )

																			# Check output of last stage is taken if out_features=None, out_indices=None
																			__UpperCamelCase       					=     copy.deepcopy(__UpperCamelCase     )
																			__UpperCamelCase       					=     None
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			model.to(__UpperCamelCase     )
																			model.eval()
																			__UpperCamelCase       					=     model(**__UpperCamelCase     )

																			self.assertEqual(len(result.feature_maps     )       ,		1     )
																			self.assertEqual(len(model.channels     )       ,		1     )

																			__UpperCamelCase       					=     copy.deepcopy(__UpperCamelCase     )
																			__UpperCamelCase       					=     None
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			model.to(__UpperCamelCase     )
																			model.eval()
																			__UpperCamelCase       					=     model(**__UpperCamelCase     )

																			self.assertEqual(len(result.feature_maps     )       ,		1     )
																			self.assertEqual(len(model.channels     )       ,		1     )

																			# Check backbone can be initialized with fresh weights
																			__UpperCamelCase       					=     copy.deepcopy(__UpperCamelCase     )
																			__UpperCamelCase       					=     False
																			__UpperCamelCase       					=     model_class(__UpperCamelCase     )
																			model.to(__UpperCamelCase     )
																			model.eval()
																			__UpperCamelCase       					=     model(**__UpperCamelCase     )



							def       A__						(					self     )->				str:





													'''simple docstring'''






													__UpperCamelCase					,							__UpperCamelCase       					=     self.model_tester.prepare_config_and_inputs_for_common()

													for backbone_class in self.all_model_classes:
																			__UpperCamelCase       					=     backbone_class(__UpperCamelCase     )

																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''backbone_type'''     )     )
																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''stage_names'''     )     )
																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''num_features'''     )     )
																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''out_indices'''     )     )
																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''out_features'''     )     )
																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''out_feature_channels'''     )     )
																			self.assertTrue(hasattr(__UpperCamelCase       ,		'''channels'''     )     )

																			self.assertIsInstance(backbone.backbone_type       ,		__UpperCamelCase     )
																			# Verify num_features has been initialized in the backbone init
																			self.assertIsNotNone(backbone.num_features     )
																			self.assertTrue(len(backbone.channels     ) == len(backbone.out_indices     )     )
																			self.assertTrue(len(backbone.stage_names     ) == len(backbone.num_features     )     )
																			self.assertTrue(len(backbone.channels     ) <= len(backbone.num_features     )     )
																			self.assertTrue(len(backbone.out_feature_channels     ) == len(backbone.stage_names     )     )



							def       A__						(					self     )->				int:





													'''simple docstring'''






													__UpperCamelCase					,							__UpperCamelCase       					=     self.model_tester.prepare_config_and_inputs_for_common()
													__UpperCamelCase       					=     inputs_dict['''pixel_values'''].shape[0]

													for backbone_class in self.all_model_classes:
																			__UpperCamelCase       					=     backbone_class(__UpperCamelCase     )
																			backbone.to(__UpperCamelCase     )
																			backbone.eval()

																			__UpperCamelCase       					=     backbone(**__UpperCamelCase     )

																			# Test default outputs and verify feature maps
																			self.assertIsInstance(outputs.feature_maps       ,		__UpperCamelCase     )
																			self.assertTrue(len(outputs.feature_maps     ) == len(backbone.channels     )     )
																			for feature_map, n_channels in zip(outputs.feature_maps       ,		backbone.channels     ):
																									self.assertTrue(feature_map.shape[:2]       ,		(batch_size, n_channels)     )
																			self.assertIsNone(outputs.hidden_states     )
																			self.assertIsNone(outputs.attentions     )

																			# Test output_hidden_states=True
																			__UpperCamelCase       					=     backbone(**__UpperCamelCase       ,		output_hidden_states=__UpperCamelCase     )
																			self.assertIsNotNone(outputs.hidden_states     )
																			self.assertTrue(len(outputs.hidden_states     )       ,		len(backbone.stage_names     )     )
																			for hidden_state, n_channels in zip(outputs.hidden_states       ,		backbone.channels     ):
																									self.assertTrue(hidden_state.shape[:2]       ,		(batch_size, n_channels)     )

																			# Test output_attentions=True
																			if self.has_attentions:
																									__UpperCamelCase       					=     backbone(**__UpperCamelCase       ,		output_attentions=__UpperCamelCase     )
																									self.assertIsNotNone(outputs.attentions     )






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

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


lowercase__							:							Optional[Any]													=     logging.get_logger(__name__)

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

lowercase__							:							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"},
}

lowercase__							:							Any													=     {"stas/tiny-wmt19-en-de": 1_0_2_4}
lowercase__							:							List[str]													=     {
    "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 		A_	(							snake_case							:				Union[str, Any]	) ->      Any:



						'''simple docstring'''

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




def 		A_	(							snake_case							:				Union[str, Any]	) ->      int:



						'''simple docstring'''

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




def 		A_	(							snake_case							:				List[str]	) ->      Optional[Any]:



						'''simple docstring'''

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






class     SCREAMING_SNAKE_CASE__      (							SCREAMING_SNAKE_CASE_      ):

							"""simple docstring"""






							_snake_case       						=					VOCAB_FILES_NAMES
							_snake_case       						=					PRETRAINED_VOCAB_FILES_MAP
							_snake_case       						=					PRETRAINED_INIT_CONFIGURATION
							_snake_case       						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_snake_case       						=					['input_ids', 'attention_mask']



							def __init__(					self       ,		SCREAMING_SNAKE_CASE_=None       ,		SCREAMING_SNAKE_CASE_=None       ,		SCREAMING_SNAKE_CASE_=None       ,		SCREAMING_SNAKE_CASE_=None       ,		SCREAMING_SNAKE_CASE_=False       ,		SCREAMING_SNAKE_CASE_="<unk>"       ,		SCREAMING_SNAKE_CASE_="<s>"       ,		SCREAMING_SNAKE_CASE_="</s>"       ,		SCREAMING_SNAKE_CASE_="<pad>"       ,		**SCREAMING_SNAKE_CASE_       ,		)->				str:





													'''simple docstring'''






													super().__init__(
													    langs=SCREAMING_SNAKE_CASE_       ,		src_vocab_file=SCREAMING_SNAKE_CASE_       ,		tgt_vocab_file=SCREAMING_SNAKE_CASE_       ,		merges_file=SCREAMING_SNAKE_CASE_       ,		do_lower_case=SCREAMING_SNAKE_CASE_       ,		unk_token=SCREAMING_SNAKE_CASE_       ,		bos_token=SCREAMING_SNAKE_CASE_       ,		sep_token=SCREAMING_SNAKE_CASE_       ,		pad_token=SCREAMING_SNAKE_CASE_       ,		**SCREAMING_SNAKE_CASE_       ,		)

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

													__UpperCamelCase       					=     sacremoses

													__UpperCamelCase       					=     src_vocab_file
													__UpperCamelCase       					=     tgt_vocab_file
													__UpperCamelCase       					=     merges_file
													__UpperCamelCase       					=     do_lower_case

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

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



							def       A__						(					self     )->				Dict[str, int]:





													'''simple docstring'''






													return self.get_src_vocab()



							@property
							def       A__						(					self     )->				int:





													'''simple docstring'''






													return self.src_vocab_size



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_     )->				int:





													'''simple docstring'''






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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_     )->				Tuple:





													'''simple docstring'''






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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_     )->				Tuple:





													'''simple docstring'''






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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_     )->				List[Any]:





													'''simple docstring'''






													__UpperCamelCase       					=     replace_unicode_punct(SCREAMING_SNAKE_CASE_     )
													__UpperCamelCase       					=     self.moses_punct_norm(SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_     )
													__UpperCamelCase       					=     remove_non_printing_char(SCREAMING_SNAKE_CASE_     )
													return text



							@property
							def       A__						(					self     )->				List[str]:





													'''simple docstring'''






													return len(self.encoder     )



							@property
							def       A__						(					self     )->				Any:





													'''simple docstring'''






													return len(self.decoder     )



							def       A__						(					self     )->				int:





													'''simple docstring'''






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



							def       A__						(					self     )->				Any:





													'''simple docstring'''






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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_     )->				Optional[Any]:





													'''simple docstring'''






													__UpperCamelCase       					=     tuple(token[:-1]     ) + (token[-1] + '''</w>''',)
													if token in self.cache:
																			return self.cache[token]
													__UpperCamelCase       					=     get_pairs(SCREAMING_SNAKE_CASE_     )

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

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

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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_="en"       ,		SCREAMING_SNAKE_CASE_=False     )->				List[Any]:





													'''simple docstring'''






													__UpperCamelCase       					=     self.src_lang

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

													if bypass_tokenizer:
																			__UpperCamelCase       					=     text.split()
													else:
																			__UpperCamelCase       					=     self.moses_pipeline(SCREAMING_SNAKE_CASE_       ,		lang=SCREAMING_SNAKE_CASE_     )
																			__UpperCamelCase       					=     self.moses_tokenize(SCREAMING_SNAKE_CASE_       ,		lang=SCREAMING_SNAKE_CASE_     )

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

													return split_tokens



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_     )->				Any:





													'''simple docstring'''






													return self.encoder.get(SCREAMING_SNAKE_CASE_       ,		self.encoder.get(self.unk_token     )     )



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_     )->				Tuple:





													'''simple docstring'''






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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_     )->				List[Any]:





													'''simple docstring'''






													__UpperCamelCase       					=     [t.replace(''' '''       ,		''''''     ).replace('''</w>'''       ,		''' '''     ) for t in tokens]
													__UpperCamelCase       					=     ''''''.join(SCREAMING_SNAKE_CASE_     ).split()
													# detokenize
													__UpperCamelCase       					=     self.moses_detokenize(SCREAMING_SNAKE_CASE_       ,		self.tgt_lang     )
													return text



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_ = None     )->				List[int]:





													'''simple docstring'''






													__UpperCamelCase       					=     [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       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_ = None       ,		SCREAMING_SNAKE_CASE_ = False     )->				List[int]:





													'''simple docstring'''






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



							def       A__						(					self       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_ = None     )->				List[int]:





													'''simple docstring'''






													__UpperCamelCase       					=     [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       ,		SCREAMING_SNAKE_CASE_       ,		SCREAMING_SNAKE_CASE_ = None     )->				Tuple[str]:





													'''simple docstring'''






													if not os.path.isdir(SCREAMING_SNAKE_CASE_     ):
																			logger.error(F"Vocabulary path ({save_directory}) should be a directory"     )
																			return

													__UpperCamelCase       					=     os.path.join(
													    SCREAMING_SNAKE_CASE_       ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file''']     )
													__UpperCamelCase       					=     os.path.join(
													    SCREAMING_SNAKE_CASE_       ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file''']     )
													__UpperCamelCase       					=     os.path.join(
													    SCREAMING_SNAKE_CASE_       ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']     )

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

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

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

													return src_vocab_file, tgt_vocab_file, merges_file



							def __getstate__(					self     )->				str:





													'''simple docstring'''






													__UpperCamelCase       					=     self.__dict__.copy()
													__UpperCamelCase       					=     None
													return state



							def __setstate__(					self       ,		SCREAMING_SNAKE_CASE_     )->				List[Any]:





													'''simple docstring'''






													__UpperCamelCase       					=     d

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

													__UpperCamelCase       					=     sacremoses




