


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
UpperCAmelCase     =       """stas/tiny-wmt19-en-ru"""







class lowerCAmelCase_		(					lowerCamelCase__   ,		unittest.TestCase			):

 '''simple docstring'''

 __snake_case				=    FSMTTokenizer
 __snake_case				=    False



 def 		UpperCamelCase__	(      self   ):
       super().setUp()

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

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

       snake_case_			= os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''src_vocab_file''']   )
       snake_case_			= os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['''tgt_vocab_file''']   )
       snake_case_			= os.path.join(self.tmpdirname						, '''tokenizer_config.json'''   )
       snake_case_			= 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 		UpperCamelCase__	(      self   ):
       return FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''   )



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



 def 		UpperCamelCase__	(      self   ):
       snake_case_			= 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 		UpperCamelCase__	(      self   ):
       snake_case_			= FSMTTokenizer(self.langs						, self.src_vocab_file						, self.tgt_vocab_file						, self.merges_file   )

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

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



 @slow
 def 		UpperCamelCase__	(      self   ):
       snake_case_			= self.tokenizer_ru_en

       snake_case_			= tokenizer.encode('''sequence builders'''						, add_special_tokens=_UpperCAmelCase   )
       snake_case_			= tokenizer.encode('''multi-sequence build'''						, add_special_tokens=_UpperCAmelCase   )

       snake_case_			= tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase   )
       snake_case_			= tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase						, _UpperCAmelCase   )

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



 @slow
 def 		UpperCamelCase__	(      self   ):
       snake_case_			= self.tokenizer_en_ru
       snake_case_			= self.tokenizer_ru_en

       snake_case_			= [
           [
               '''Here\'s a little song I wrote. Don\'t worry, be happy.''',
               [24_70, 39, 11, 23_49, 72_22, 70, 59_79, 7, 84_50, 10_50, 1_31_60, 5, 26, 64_45, 7, 2],
           ],
           ['''This is it. No more. I\'m done!''', [1_32, 21, 37, 7, 14_34, 86, 7, 70, 64_76, 13_05, 4_27, 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_			= tokenizer_enc.encode(_UpperCAmelCase						, return_tensors=_UpperCAmelCase   )
             self.assertListEqual(_UpperCAmelCase						, _UpperCAmelCase   )

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



 @slow
 def 		UpperCamelCase__	(      self   ):
       snake_case_			= FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''						, do_lower_case=_UpperCAmelCase   )
       snake_case_			= tokenizer.tokenize('''USA is United States of America'''   )
       snake_case_			= ['''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 		UpperCamelCase__	(      self   ):
       pass





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



from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase     =       logging.get_logger(__name__)







class lowerCAmelCase_		(					lowerCamelCase__			):

 '''simple docstring'''

 __snake_case				=    ["input_ids", "attention_mask"]



 def __init__(      self						, _UpperCAmelCase="[PAD]"						, _UpperCAmelCase="[BOS]"						, _UpperCAmelCase="[EOS]"						, _UpperCAmelCase="[MASK]"						, _UpperCAmelCase="[CLS]"						, _UpperCAmelCase="[SEP]"						, _UpperCAmelCase=20_48						, **_UpperCAmelCase						, ):
       snake_case_			= AddedToken(_UpperCAmelCase						, lstrip=_UpperCAmelCase						, rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ) else pad_token
       snake_case_			= AddedToken(_UpperCAmelCase						, lstrip=_UpperCAmelCase						, rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ) else bos_token
       snake_case_			= AddedToken(_UpperCAmelCase						, lstrip=_UpperCAmelCase						, rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ) else eos_token
       snake_case_			= AddedToken(_UpperCAmelCase						, lstrip=_UpperCAmelCase						, rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ) else mask_token
       snake_case_			= AddedToken(_UpperCAmelCase						, lstrip=_UpperCAmelCase						, rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ) else cls_token
       snake_case_			= AddedToken(_UpperCAmelCase						, lstrip=_UpperCAmelCase						, rstrip=_UpperCAmelCase   ) if isinstance(_UpperCAmelCase						, _UpperCAmelCase   ) else sep_token

       super().__init__(
           pad_token=_UpperCAmelCase						, bos_token=_UpperCAmelCase						, eos_token=_UpperCAmelCase						, mask_token=_UpperCAmelCase						, cls_token=_UpperCAmelCase						, sep_token=_UpperCAmelCase						, model_max_length=_UpperCAmelCase						, **_UpperCAmelCase						, )

       snake_case_			= 2**8  # utf is 8 bits

       # define special tokens dict
       snake_case_			= {
           self.pad_token: 0,
           self.bos_token: 1,
           self.eos_token: 2,
           self.mask_token: 3,
           self.cls_token: 4,
           self.sep_token: 5,
       }
       snake_case_			= len(self.special_tokens_encoder   )
       snake_case_			= {v: k for k, v in self.special_tokens_encoder.items()}



 def 		UpperCamelCase__	(      self   ):
       snake_case_			= self.special_tokens_encoder.copy()
       vocab.update(self.added_tokens_encoder   )
       for i in range(self._utf_vocab_size   ):
             snake_case_			= chr(_UpperCAmelCase   )
             snake_case_			= i + len(self.special_tokens_encoder   )
       return vocab



 @property
 def 		UpperCamelCase__	(      self   ):
       return self._utf_vocab_size + self._num_special_tokens



 def 		UpperCamelCase__	(      self						, _UpperCAmelCase						, _UpperCAmelCase = None						, _UpperCAmelCase = False   ):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=_UpperCAmelCase						, token_ids_a=_UpperCAmelCase						, already_has_special_tokens=_UpperCAmelCase   )

       # normal case: some special tokens
       if token_ids_a is None:
             return [1] + [0] * len(_UpperCAmelCase   ) + [1]
       return [1] + ([0] * len(_UpperCAmelCase   )) + [1] + ([0] * len(_UpperCAmelCase   )) + [1]



 def 		UpperCamelCase__	(      self						, _UpperCAmelCase						, _UpperCAmelCase = None   ):
       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       else:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]



 def 		UpperCamelCase__	(      self						, _UpperCAmelCase   ):
       snake_case_			= [chr(_UpperCAmelCase   ) for i in text.encode('''utf-8'''   )]
       return tokens



 def 		UpperCamelCase__	(      self						, _UpperCAmelCase   ):
       if token in self.special_tokens_encoder:
             snake_case_			= self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
             snake_case_			= self.added_tokens_encoder[token]
       elif len(_UpperCAmelCase   ) != 1:
             snake_case_			= self.unk_token_id
       else:
             snake_case_			= ord(_UpperCAmelCase   ) + self._num_special_tokens
       return token_id



 def 		UpperCamelCase__	(      self						, _UpperCAmelCase   ):
       if index in self.special_tokens_decoder:
             snake_case_			= self.special_tokens_decoder[index]
       elif index in self.added_tokens_decoder:
             snake_case_			= self.added_tokens_decoder[index]
       else:
             snake_case_			= chr(index - self._num_special_tokens   )
       return token



 def 		UpperCamelCase__	(      self						, _UpperCAmelCase   ):
       snake_case_			= b''''''
       for token in tokens:
             if token in self.special_tokens_decoder:
                   snake_case_			= self.special_tokens_decoder[token].encode('''utf-8'''   )
             elif token in self.added_tokens_decoder:
                   snake_case_			= self.special_tokens_decoder[token].encode('''utf-8'''   )
             elif token in self.special_tokens_encoder:
                   snake_case_			= token.encode('''utf-8'''   )
             elif token in self.added_tokens_encoder:
                   snake_case_			= token.encode('''utf-8'''   )
             else:
                   snake_case_			= bytes([ord(_UpperCAmelCase   )]   )
             bstring += tok_string
       snake_case_			= bstring.decode('''utf-8'''						, errors='''replace'''   )
       return string





 def 		UpperCamelCase__	(      self						, _UpperCAmelCase						, _UpperCAmelCase = None   ):
       return ()