




"""simple docstring"""





import json
import os
import unittest

from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES, FSMTTokenizer
from transformers.testing_utils import slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


# using a different tiny model than the one used for default params defined in init to ensure proper testing
_lowercase		 =      "stas/tiny-wmt19-en-ru"

class  __lowercase    (     SCREAMING_SNAKE_CASE__  ,				unittest.TestCase		):


				'''simple docstring'''


				_lowerCAmelCase		     =FSMTTokenizer
				_lowerCAmelCase		     =False

				def  _lowerCamelCase   (				self				:       List[Any] ):
										super().setUp()

										# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
										snake_case__    :   Optional[Any]							     =   [
										    '''l''',
										    '''o''',
										    '''w''',
										    '''e''',
										    '''r''',
										    '''s''',
										    '''t''',
										    '''i''',
										    '''d''',
										    '''n''',
										    '''w</w>''',
										    '''r</w>''',
										    '''t</w>''',
										    '''lo''',
										    '''low''',
										    '''er</w>''',
										    '''low</w>''',
										    '''lowest</w>''',
										    '''newer</w>''',
										    '''wider</w>''',
										    '''<unk>''',
										]
										snake_case__    :   List[str]							     =   dict(zip(SCREAMING_SNAKE_CASE_ ,range(len(SCREAMING_SNAKE_CASE_ ) ) ) )
										snake_case__    :   str							     =   ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

										snake_case__    :   List[str]							     =   ['''en''', '''ru''']
										snake_case__    :   Any							     =   {
										    '''langs''': self.langs,
										    '''src_vocab_size''': 1_0,
										    '''tgt_vocab_size''': 2_0,
										}

										snake_case__    :   Dict							     =   os.path.join(self.tmpdirname ,VOCAB_FILES_NAMES['''src_vocab_file'''] )
										snake_case__    :   int							     =   os.path.join(self.tmpdirname ,VOCAB_FILES_NAMES['''tgt_vocab_file'''] )
										snake_case__    :   Union[str, Any]							     =   os.path.join(self.tmpdirname ,'''tokenizer_config.json''' )
										snake_case__    :   Dict							     =   os.path.join(self.tmpdirname ,VOCAB_FILES_NAMES['''merges_file'''] )
										with open(self.src_vocab_file ,'''w''' ) as fp:
																fp.write(json.dumps(SCREAMING_SNAKE_CASE_ ) )
										with open(self.tgt_vocab_file ,'''w''' ) as fp:
																fp.write(json.dumps(SCREAMING_SNAKE_CASE_ ) )
										with open(self.merges_file ,'''w''' ) as fp:
																fp.write('''\n'''.join(SCREAMING_SNAKE_CASE_ ) )
										with open(SCREAMING_SNAKE_CASE_ ,'''w''' ) as fp:
																fp.write(json.dumps(SCREAMING_SNAKE_CASE_ ) )

				@cached_property
				def  _lowerCamelCase   (				self				:       int ):
										return FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en''' )

				@cached_property
				def  _lowerCamelCase   (				self				:       int ):
										return FSMTTokenizer.from_pretrained('''facebook/wmt19-en-ru''' )

				def  _lowerCamelCase   (				self				:       Any ):
										snake_case__    :   Tuple							     =   FSMTTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_ )
										self.assertListEqual([tokenizer.src_lang, tokenizer.tgt_lang] ,['''en''', '''ru'''] )
										self.assertEqual(tokenizer.src_vocab_size ,2_1 )
										self.assertEqual(tokenizer.tgt_vocab_size ,2_1 )

				def  _lowerCamelCase   (				self				:       Any ):
										snake_case__    :   Optional[Any]							     =   FSMTTokenizer(self.langs ,self.src_vocab_file ,self.tgt_vocab_file ,self.merges_file )

										snake_case__    :   List[Any]							     =   '''lower'''
										snake_case__    :   Optional[int]							     =   ['''low''', '''er</w>''']
										snake_case__    :   Any							     =   tokenizer.tokenize(SCREAMING_SNAKE_CASE_ )
										self.assertListEqual(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

										snake_case__    :   Union[str, Any]							     =   tokens + ['''<unk>''']
										snake_case__    :   List[Any]							     =   [1_4, 1_5, 2_0]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_ ) ,SCREAMING_SNAKE_CASE_ )

				@slow
				def  _lowerCamelCase   (				self				:       Any ):
										snake_case__    :   Dict							     =   self.tokenizer_ru_en

										snake_case__    :   Any							     =   tokenizer.encode('''sequence builders''' ,add_special_tokens=SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Dict							     =   tokenizer.encode('''multi-sequence build''' ,add_special_tokens=SCREAMING_SNAKE_CASE_ )

										snake_case__    :   Optional[int]							     =   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Dict							     =   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

										assert encoded_sentence == text + [2]
										assert encoded_pair == text + [2] + text_a + [2]

				@slow
				def  _lowerCamelCase   (				self				:       Union[str, Any] ):
										snake_case__    :   Any							     =   self.tokenizer_en_ru
										snake_case__    :   Tuple							     =   self.tokenizer_ru_en

										snake_case__    :   Dict							     =   [
										    [
										        '''Here\'s a little song I wrote. Don\'t worry, be happy.''',
										        [2_4_7_0, 3_9, 1_1, 2_3_4_9, 7_2_2_2, 7_0, 5_9_7_9, 7, 8_4_5_0, 1_0_5_0, 1_3_1_6_0, 5, 2_6, 6_4_4_5, 7, 2],
										    ],
										    ['''This is it. No more. I\'m done!''', [1_3_2, 2_1, 3_7, 7, 1_4_3_4, 8_6, 7, 7_0, 6_4_7_6, 1_3_0_5, 4_2_7, 2]],
										]

										# if data needs to be recreated or added, run:
										# import torch
										# model = torch.hub.load("pytorch/fairseq", "transformer.wmt19.en-ru", checkpoint_file="model4.pt", tokenizer="moses", bpe="fastbpe")
										# for src_text, _ in targets: print(f"""[\n"{src_text}",\n {model.encode(src_text).tolist()}\n],""")

										for src_text, tgt_input_ids in targets:
																snake_case__    :   str							     =   tokenizer_enc.encode(SCREAMING_SNAKE_CASE_ ,return_tensors=SCREAMING_SNAKE_CASE_ )
																self.assertListEqual(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

																# and decode backward, using the reversed languages model
																snake_case__    :   List[str]							     =   tokenizer_dec.decode(SCREAMING_SNAKE_CASE_ ,skip_special_tokens=SCREAMING_SNAKE_CASE_ )
																self.assertEqual(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

				@slow
				def  _lowerCamelCase   (				self				:       Dict ):
										snake_case__    :   Tuple							     =   FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en''' ,do_lower_case=SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Tuple							     =   tokenizer.tokenize('''USA is United States of America''' )
										snake_case__    :   Union[str, Any]							     =   ['''us''', '''a</w>''', '''is</w>''', '''un''', '''i''', '''ted</w>''', '''st''', '''ates</w>''', '''of</w>''', '''am''', '''er''', '''ica</w>''']
										self.assertListEqual(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

				@unittest.skip('''FSMTConfig.__init__  requires non-optional args''' )
				def  _lowerCamelCase   (				self				:       Union[str, Any] ):
										pass





				@unittest.skip('''FSMTConfig.__init__  requires non-optional args''' )
				def  _lowerCamelCase   (				self				:       int ):
										pass








"""simple docstring"""





class  __lowercase    :


				'''simple docstring'''


				class  __lowercase    :


								'''simple docstring'''


								_lowerCAmelCase		     ="_prev", "_data", "_next"

								def __init__(				self				:       List[Any] ,SCREAMING_SNAKE_CASE_				:       int ,SCREAMING_SNAKE_CASE_				:       Union[str, Any] ,SCREAMING_SNAKE_CASE_				:       Any ):
														snake_case__    :   Any							     =   link_p
														snake_case__    :   List[str]							     =   element
														snake_case__    :   str							     =   link_n





								def  _lowerCamelCase   (				self				:       Optional[Any] ):
														return (
														    F''' Prev -> {self._prev is not None}, Next -> {self._next is not None}'''
														)







				def __init__(				self				:       Any ):
										snake_case__    :   int							     =   self._Node(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Optional[int]							     =   self._Node(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Union[str, Any]							     =   self._trailer
										snake_case__    :   Union[str, Any]							     =   self._header
										snake_case__    :   Any							     =   0

				def __len__(				self				:       str ):
										return self._size

				def  _lowerCamelCase   (				self				:       Union[str, Any] ):
										return self.__len__() == 0

				def  _lowerCamelCase   (				self				:       Any ,SCREAMING_SNAKE_CASE_				:       List[Any] ,SCREAMING_SNAKE_CASE_				:       List[str] ,SCREAMING_SNAKE_CASE_				:       Dict ):
										# Create new_node by setting it's prev.link -> header
										# setting it's next.link -> trailer
										snake_case__    :   Dict							     =   self._Node(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Any							     =   new_node
										snake_case__    :   str							     =   new_node
										self._size += 1
										return self





				def  _lowerCamelCase   (				self				:       Union[str, Any] ,SCREAMING_SNAKE_CASE_				:       Dict ):
										snake_case__    :   Union[str, Any]							     =   node._prev
										snake_case__    :   Union[str, Any]							     =   node._next

										snake_case__    :   List[Any]							     =   successor
										snake_case__    :   Dict							     =   predecessor
										self._size -= 1
										snake_case__    :   Dict							     =   node._data
										snake_case__    :   List[str]							     =   None
										del node
										return temp







class  __lowercase    (     _DoublyLinkedBase		):


				'''simple docstring'''


				def  _lowerCamelCase   (				self				:       Optional[int] ):
										if self.is_empty():
																raise Exception('''List is empty''' )
										return self._header._next._data

				def  _lowerCamelCase   (				self				:       Union[str, Any] ):
										if self.is_empty():
																raise Exception('''List is empty''' )
										return self._trailer._prev._data

				def  _lowerCamelCase   (				self				:       Any ,SCREAMING_SNAKE_CASE_				:       Dict ):
										return self._insert(self._header ,SCREAMING_SNAKE_CASE_ ,self._header._next )

				def  _lowerCamelCase   (				self				:       Dict ,SCREAMING_SNAKE_CASE_				:       Union[str, Any] ):
										return self._insert(self._trailer._prev ,SCREAMING_SNAKE_CASE_ ,self._trailer )

				def  _lowerCamelCase   (				self				:       Optional[int] ):
										if self.is_empty():
																raise IndexError('''remove_first from empty list''' )
										return self._delete(self._header._next )





				def  _lowerCamelCase   (				self				:       Optional[Any] ):
										if self.is_empty():
																raise IndexError('''remove_first from empty list''' )
										return self._delete(self._trailer._prev )


