


"""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       __a	(   __snake_case				, unittest.TestCase       ):
				lowerCamelCase    :					List[str] 					=FSMTTokenizer
				lowerCamelCase    :					Union[str, Any] 					=False







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					super().setUp()

					# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
					lowerCAmelCase_			       = [
					    '''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>''',
					]
					lowerCAmelCase_			       = dict(zip(UpperCAmelCase			,  range(len(UpperCAmelCase      )      )      )      )
					lowerCAmelCase_			       = ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

					lowerCAmelCase_			       = ['''en''', '''ru''']
					lowerCAmelCase_			       = {
					    '''langs''': self.langs,
					    '''src_vocab_size''': 10,
					    '''tgt_vocab_size''': 20,
					}

					lowerCAmelCase_			       = os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['''src_vocab_file''']      )
					lowerCAmelCase_			       = os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['''tgt_vocab_file''']      )
					lowerCAmelCase_			       = os.path.join(self.tmpdirname			,  '''tokenizer_config.json'''      )
					lowerCAmelCase_			       = os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['''merges_file''']      )
					with open(self.src_vocab_file			,  '''w'''      ) as fp:
						fp.write(json.dumps(UpperCAmelCase      )      )
					with open(self.tgt_vocab_file			,  '''w'''      ) as fp:
						fp.write(json.dumps(UpperCAmelCase      )      )
					with open(self.merges_file			,  '''w'''      ) as fp:
						fp.write('''\n'''.join(UpperCAmelCase      )      )
					with open(UpperCAmelCase			,  '''w'''      ) as fp:
						fp.write(json.dumps(UpperCAmelCase      )      )







				@cached_property
				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					return FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''      )







				@cached_property
				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					return FSMTTokenizer.from_pretrained('''facebook/wmt19-en-ru'''      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = FSMTTokenizer.from_pretrained(UpperCAmelCase      )
					self.assertListEqual([tokenizer.src_lang, tokenizer.tgt_lang]			,  ['''en''', '''ru''']      )
					self.assertEqual(tokenizer.src_vocab_size			,  21      )
					self.assertEqual(tokenizer.tgt_vocab_size			,  21      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = FSMTTokenizer(self.langs			,  self.src_vocab_file			,  self.tgt_vocab_file			,  self.merges_file      )

					lowerCAmelCase_			       = '''lower'''
					lowerCAmelCase_			       = ['''low''', '''er</w>''']
					lowerCAmelCase_			       = tokenizer.tokenize(UpperCAmelCase      )
					self.assertListEqual(UpperCAmelCase			,  UpperCAmelCase      )

					lowerCAmelCase_			       = tokens + ['''<unk>''']
					lowerCAmelCase_			       = [14, 15, 20]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase      )			,  UpperCAmelCase      )







				@slow
				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.tokenizer_ru_en

					lowerCAmelCase_			       = tokenizer.encode('''sequence builders'''			,  add_special_tokens=UpperCAmelCase      )
					lowerCAmelCase_			       = tokenizer.encode('''multi-sequence build'''			,  add_special_tokens=UpperCAmelCase      )

					lowerCAmelCase_			       = tokenizer.build_inputs_with_special_tokens(UpperCAmelCase      )
					lowerCAmelCase_			       = tokenizer.build_inputs_with_special_tokens(UpperCAmelCase			,  UpperCAmelCase      )

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







				@slow
				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.tokenizer_en_ru
					lowerCAmelCase_			       = self.tokenizer_ru_en

					lowerCAmelCase_			       = [
					    [
					        '''Here\'s a little song I wrote. Don\'t worry, be happy.''',
					        [2470, 39, 11, 2349, 7222, 70, 5979, 7, 8450, 1050, 1_3160, 5, 26, 6445, 7, 2],
					    ],
					    ['''This is it. No more. I\'m done!''', [132, 21, 37, 7, 1434, 86, 7, 70, 6476, 1305, 427, 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:
						lowerCAmelCase_			       = tokenizer_enc.encode(UpperCAmelCase			,  return_tensors=UpperCAmelCase      )
						self.assertListEqual(UpperCAmelCase			,  UpperCAmelCase      )

						# and decode backward, using the reversed languages model
						lowerCAmelCase_			       = tokenizer_dec.decode(UpperCAmelCase			,  skip_special_tokens=UpperCAmelCase      )
						self.assertEqual(UpperCAmelCase			,  UpperCAmelCase      )







				@slow
				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''			,  do_lower_case=UpperCAmelCase      )
					lowerCAmelCase_			       = tokenizer.tokenize('''USA is United States of America'''      )
					lowerCAmelCase_			       = ['''us''', '''a</w>''', '''is</w>''', '''un''', '''i''', '''ted</w>''', '''st''', '''ates</w>''', '''of</w>''', '''am''', '''er''', '''ica</w>''']
					self.assertListEqual(UpperCAmelCase			,  UpperCAmelCase      )







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

					'''simple docstring'''






					pass







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

					'''simple docstring'''






					pass



"""simple docstring"""



lowercase_							 =       [0.485, 0.456, 0.406]
lowercase_							 =       [0.229, 0.224, 0.225]
lowercase_							 =       [0.5, 0.5, 0.5]
lowercase_							 =       [0.5, 0.5, 0.5]
lowercase_							 =       [0.4814_5466, 0.457_8275, 0.4082_1073]
lowercase_							 =       [0.2686_2954, 0.2613_0258, 0.2757_7711]