
import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 		UpperCamelCase__  (	__lowercase   ,unittest.TestCase   ):
   _SCREAMING_SNAKE_CASE				:							Optional[Any]     	=				None
   _SCREAMING_SNAKE_CASE				:							Tuple     	=				BloomTokenizerFast
   _SCREAMING_SNAKE_CASE				:							Optional[int]     	=				BloomTokenizerFast
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				True
   _SCREAMING_SNAKE_CASE				:							str     	=				False
   _SCREAMING_SNAKE_CASE				:							str     	=				"tokenizer_file"
   _SCREAMING_SNAKE_CASE				:							Tuple     	=				{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
   def 				lowerCAmelCase      (self			: str       ):
    super().setUp()
    __a			:  Dict		    =  BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''       )
    tokenizer.save_pretrained(self.tmpdirname       )
   def 				lowerCAmelCase      (self			: Optional[int] ,    **snake_case_			: str       ):
    kwargs.update(self.special_tokens_map       )
    return BloomTokenizerFast.from_pretrained(self.tmpdirname ,    **snake_case_       )
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  Optional[Any]		    =  self.get_rust_tokenizer()

    __a			:  List[Any]		    =  ['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
    __a			:  Tuple		    =  [[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

    __a			:  Union[str, Any]		    =  tokenizer.batch_encode_plus(snake_case_       )['''input_ids''']
    self.assertListEqual(snake_case_ ,    snake_case_       )

    __a			:  List[Any]		    =  tokenizer.batch_decode(snake_case_       )
    self.assertListEqual(snake_case_ ,    snake_case_       )
   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: Optional[Any]=6       ):
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
      __a			:  List[Any]		    =  self.rust_tokenizer_class.from_pretrained(snake_case_ ,    **snake_case_       )
      # tokenizer_r.pad_token = None # Hotfixing padding = None
      # Simple input
      __a			:  Optional[int]		    =  '''This is a simple input'''
      __a			:  int		    =  ['''This is a simple input 1''', '''This is a simple input 2''']
      __a			:  Optional[int]		    =  ('''This is a simple input''', '''This is a pair''')
      __a			:  Optional[int]		    =  [
          ('''This is a simple input 1''', '''This is a simple input 2'''),
          ('''This is a simple pair 1''', '''This is a simple pair 2'''),
      ]

      # Simple input tests
      try:
       tokenizer_r.encode(snake_case_ ,    max_length=snake_case_       )
       tokenizer_r.encode_plus(snake_case_ ,    max_length=snake_case_       )

       tokenizer_r.batch_encode_plus(snake_case_ ,    max_length=snake_case_       )
       tokenizer_r.encode(snake_case_ ,    max_length=snake_case_       )
       tokenizer_r.batch_encode_plus(snake_case_ ,    max_length=snake_case_       )
      except ValueError:
       self.fail('''Bloom Tokenizer should be able to deal with padding'''       )

      __a			:  Any		    =  None  # Hotfixing padding = None
      self.assertRaises(snake_case_ ,    tokenizer_r.encode ,    snake_case_ ,    max_length=snake_case_ ,    padding='''max_length'''       )

      # Simple input
      self.assertRaises(snake_case_ ,    tokenizer_r.encode_plus ,    snake_case_ ,    max_length=snake_case_ ,    padding='''max_length'''       )

      # Simple input
      self.assertRaises(
          snake_case_ ,    tokenizer_r.batch_encode_plus ,    snake_case_ ,    max_length=snake_case_ ,    padding='''max_length''' ,    )

      # Pair input
      self.assertRaises(snake_case_ ,    tokenizer_r.encode ,    snake_case_ ,    max_length=snake_case_ ,    padding='''max_length'''       )

      # Pair input
      self.assertRaises(snake_case_ ,    tokenizer_r.encode_plus ,    snake_case_ ,    max_length=snake_case_ ,    padding='''max_length'''       )

      # Pair input
      self.assertRaises(
          snake_case_ ,    tokenizer_r.batch_encode_plus ,    snake_case_ ,    max_length=snake_case_ ,    padding='''max_length''' ,    )
   def 				lowerCAmelCase      (self			: List[Any]       ):
    __a			:  List[Any]		    =  self.get_rust_tokenizer()
    __a			:  List[Any]		    =  load_dataset('''xnli''' ,    '''all_languages''' ,    split='''test''' ,    streaming=snake_case_       )

    __a			:  Optional[Any]		    =  next(iter(snake_case_       )       )['''premise''']  # pick up one data
    __a			:  Optional[int]		    =  list(sample_data.values()       )

    __a			:  Union[str, Any]		    =  list(map(tokenizer.encode ,    snake_case_       )       )
    __a			:  Optional[Any]		    =  [tokenizer.decode(snake_case_ ,    clean_up_tokenization_spaces=snake_case_       ) for x in output_tokens]
    self.assertListEqual(snake_case_ ,    snake_case_       )







   def 				lowerCAmelCase      (self			: Optional[int]       ):
    # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
    # any sequence length constraints. This test of the parent class will fail since it relies on the
    # maximum sequence length of the positoonal embeddings.
    self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map       ) ,    1       )
    self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()       )[0]       ) ,    1       )


import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class 		UpperCamelCase__  (	__lowercase   ,unittest.TestCase   ):
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				PhobertTokenizer
   _SCREAMING_SNAKE_CASE				:							int     	=				False
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    __a			:  Optional[int]		    =  ['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
    __a			:  Tuple		    =  dict(zip(snake_case_ ,    range(len(snake_case_       )       )       )       )
    __a			:  int		    =  ['''#version: 0.2''', '''l à</w>''']
    __a			:  List[Any]		    =  {'''unk_token''': '''<unk>'''}

    __a			:  Any		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''vocab_file''']       )
    __a			:  List[Any]		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''merges_file''']       )

    with open(self.vocab_file ,    '''w''' ,    encoding='''utf-8'''       ) as fp:
     for token in vocab_tokens:
      fp.write(f"{token} {vocab_tokens[token]}\n"       )
    with open(self.merges_file ,    '''w''' ,    encoding='''utf-8'''       ) as fp:
     fp.write('''\n'''.join(snake_case_       )       )
   def 				lowerCAmelCase      (self			: Union[str, Any] ,    **snake_case_			: List[str]       ):
    kwargs.update(self.special_tokens_map       )
    return PhobertTokenizer.from_pretrained(self.tmpdirname ,    **snake_case_       )
   def 				lowerCAmelCase      (self			: Any ,    snake_case_			: Dict       ):
    __a			:  Union[str, Any]		    =  '''Tôi là VinAI Research'''
    __a			:  int		    =  '''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
    return input_text, output_text







   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  Optional[int]		    =  PhobertTokenizer(self.vocab_file ,    self.merges_file ,    **self.special_tokens_map       )
    __a			:  Any		    =  '''Tôi là VinAI Research'''
    __a			:  Union[str, Any]		    =  '''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
    __a			:  List[str]		    =  tokenizer.tokenize(snake_case_       )
    print(snake_case_       )
    self.assertListEqual(snake_case_ ,    snake_case_       )

    __a			:  str		    =  tokens + [tokenizer.unk_token]

    __a			:  str		    =  [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_       ) ,    snake_case_       )
