






import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class        snake_case_				(							lowerCAmelCase__   ,      unittest.TestCase   ):







   """simple docstring"""



   __lowerCAmelCase  =    HerbertTokenizer
   __lowerCAmelCase  =    HerbertTokenizerFast
   __lowerCAmelCase  =    True

   def       SCREAMING_SNAKE_CASE__					(     self:						str						)	->		Tuple:


       """simple docstring"""



       super().setUp()

       # Use a simpler test file without japanese/chinese characters
       with open(f'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt''' ,							encoding='utf-8'						) as f_data:
           _lowercase     			=						f_data.read().replace('\n\n' ,							'\n'						).strip()

       _lowercase     			=						[
           '<s>',
           '</s>',
           '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>',
           ',</w>',
           '<unk>',
       ]
       _lowercase     			=						dict(zip(_A ,							range(len(_A						)						)						)						)
       _lowercase     			=						['l o 123', 'lo w 1456', 'e r</w> 1789', '']

       _lowercase     			=						os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['vocab_file']						)
       _lowercase     			=						os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['merges_file']						)
       with open(self.vocab_file ,							'w'						) as fp:
           fp.write(json.dumps(_A						)						)
       with open(self.merges_file ,							'w'						) as fp:
           fp.write('\n'.join(_A						)						)

   def       SCREAMING_SNAKE_CASE__					(     self:						int ,							snake_case__:						Any						)	->		Optional[Any]:


       """simple docstring"""



       _lowercase     			=						'lower newer'
       _lowercase     			=						'lower newer'
       return input_text, output_text

   def       SCREAMING_SNAKE_CASE__					(     self:						Tuple						)	->		Tuple:


       """simple docstring"""



       _lowercase     			=						self.tokenizer_class(vocab_file=self.vocab_file ,							merges_file=self.merges_file						)

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

       _lowercase     			=						tokens + ['<unk>']
       _lowercase     			=						[16, 17, 23]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_A						) ,							_A						)

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


       """simple docstring"""



       if not self.test_rust_tokenizer:
           return

       _lowercase     			=						self.get_tokenizer()
       _lowercase     			=						self.get_rust_tokenizer()

       _lowercase     			=						'lower,newer'

       _lowercase     			=						tokenizer.tokenize(_A						)
       _lowercase     			=						rust_tokenizer.tokenize(_A						)
       self.assertListEqual(_A ,							_A						)

       _lowercase     			=						tokenizer.encode(_A ,							add_special_tokens=_A						)
       _lowercase     			=						rust_tokenizer.encode(_A ,							add_special_tokens=_A						)
       self.assertListEqual(_A ,							_A						)

       _lowercase     			=						self.get_rust_tokenizer()
       _lowercase     			=						tokenizer.encode(_A						)
       _lowercase     			=						rust_tokenizer.encode(_A						)
       self.assertListEqual(_A ,							_A						)

   @slow
   def       SCREAMING_SNAKE_CASE__					(     self:						Union[str, Any]						)	->		Optional[int]:


       """simple docstring"""



       _lowercase     			=						self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'						)

       _lowercase     			=						tokenizer.encode('konstruowanie sekwencji' ,							add_special_tokens=_A						)
       _lowercase     			=						tokenizer.encode('konstruowanie wielu sekwencji' ,							add_special_tokens=_A						)

       _lowercase     			=						tokenizer.build_inputs_with_special_tokens(_A						)
       _lowercase     			=						tokenizer.build_inputs_with_special_tokens(_A ,							_A						)

       assert encoded_sentence == [0] + text + [2]
       assert encoded_pair == [0] + text + [2] + text_a + [2]



def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		list							):





    """simple docstring"""


    if not isinstance(_SCREAMING_SNAKE_CASE			, _SCREAMING_SNAKE_CASE							):
        raise ValueError('Input series is not valid, valid series - [2, 4, 8]'							)
    if len(_SCREAMING_SNAKE_CASE							) == 0:
        raise ValueError('Input list must be a non empty list'							)
    if len(_SCREAMING_SNAKE_CASE							) == 1:
        return True
    try:
        SCREAMING_SNAKE_CASE_						=    series[1] / series[0]
        for index in range(len(_SCREAMING_SNAKE_CASE							) - 1							):
            if series[index + 1] / series[index] != common_ratio:
                return False
    except ZeroDivisionError:
        return False
    return True


def        _UpperCAmelCase							(	_SCREAMING_SNAKE_CASE       :		list							):





    """simple docstring"""


    if not isinstance(_SCREAMING_SNAKE_CASE			, _SCREAMING_SNAKE_CASE							):
        raise ValueError('Input series is not valid, valid series - [2, 4, 8]'							)
    if len(_SCREAMING_SNAKE_CASE							) == 0:
        raise ValueError('Input list must be a non empty list'							)
    SCREAMING_SNAKE_CASE_						=    1
    for value in series:
        answer *= value
    return pow(_SCREAMING_SNAKE_CASE			, 1 / len(_SCREAMING_SNAKE_CASE							)							)


if __name__ == "__main__":
       import doctest

       doctest.testmod()


