


'''simple docstring'''







import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class 			__lowerCamelCase			(	lowerCamelCase__    , unittest.TestCase	):
    """simple docstring"""
    a													=   CTRLTokenizer
    a													=   False
    a													=   False


    def        A   (  self      :							int):
           super().setUp()

           # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
           _A					:     Any     = ['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
           _A					:     List[str]     = dict(zip(SCREAMING_SNAKE_CASE				,							range(len(SCREAMING_SNAKE_CASE))))
           _A					:     List[Any]     = ['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
           _A					:     List[str]     = {'unk_token': '<unk>'}

           _A					:     Union[str, Any]     = os.path.join(self.tmpdirname				,							VOCAB_FILES_NAMES['vocab_file'])
           _A					:     Optional[Any]     = os.path.join(self.tmpdirname				,							VOCAB_FILES_NAMES['merges_file'])
           with open(self.vocab_file				,							'w'				,							encoding='utf-8') as fp:
                  fp.write(json.dumps(SCREAMING_SNAKE_CASE) + '\n')
           with open(self.merges_file				,							'w'				,							encoding='utf-8') as fp:
                  fp.write('\n'.join(SCREAMING_SNAKE_CASE))


    def        A   (  self      :							int				,							**SCREAMING_SNAKE_CASE      :							int):
           kwargs.update(self.special_tokens_map)
           return CTRLTokenizer.from_pretrained(self.tmpdirname				,							**SCREAMING_SNAKE_CASE)


    def        A   (  self      :							Dict				,							SCREAMING_SNAKE_CASE      :							Tuple):
           _A					:     Dict     = 'adapt react readapt apt'
           _A					:     int     = 'adapt react readapt apt'
           return input_text, output_text


    def        A   (  self      :							Optional[Any]):
           _A					:     Optional[int]     = CTRLTokenizer(self.vocab_file				,							self.merges_file				,							**self.special_tokens_map)
           _A					:     Dict     = 'adapt react readapt apt'
           _A					:     Optional[Any]     = 'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
           _A					:     Any     = tokenizer.tokenize(SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)

           _A					:     List[Any]     = tokens + [tokenizer.unk_token]

           _A					:     int     = [0, 1, 2, 4, 5, 1, 0, 3, 6]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE)				,							SCREAMING_SNAKE_CASE)










'''simple docstring'''







def 				lowerCAmelCase__	(    lowerCamelCase					:      int  ,lowerCamelCase					:      list[int]  ,lowerCamelCase					:      int       ):

       def count_of_possible_combinations(lowerCamelCase					:      int       ) -> int:
              if target < 0:
                     return 0
              if target == 0:
                     return 1
              return sum(count_of_possible_combinations(target - item       ) for item in array       )

       return count_of_possible_combinations(lowerCamelCase       )






def 				lowerCAmelCase__	(    lowerCamelCase					:      int  ,lowerCamelCase					:      list[int]  ,lowerCamelCase					:      int       ):

       def count_of_possible_combinations_with_dp_array(
           lowerCamelCase					:      int  ,lowerCamelCase					:      list[int]       ) -> int:
              if target < 0:
                     return 0
              if target == 0:
                     return 1
              if dp_array[target] != -1:
                     return dp_array[target]
              _A					:     Optional[Any]     = sum(
                  count_of_possible_combinations_with_dp_array(target - item  ,lowerCamelCase       )
                  for item in array       )
              _A					:     List[str]     = answer
              return answer

       _A					:     Optional[int]     = [-1] * (target + 1)
       return count_of_possible_combinations_with_dp_array(lowerCamelCase  ,lowerCamelCase       )






def 				lowerCAmelCase__	(    lowerCamelCase					:      int  ,lowerCamelCase					:      list[int]  ,lowerCamelCase					:      int       ):
       _A					:     Dict     = [0] * (target + 1)
       _A					:     List[str]     = 1

       for i in range(1  ,target + 1       ):
              for j in range(lowerCamelCase       ):
                     if i - array[j] >= 0:
                            dp_array[i] += dp_array[i - array[j]]

       return dp_array[target]


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   A				:					Dict    						=			3
   A				:					Union[str, Any]    						=			5
   A				:					Union[str, Any]    						=			[1, 2, 5]
   print(combination_sum_iv(n, array, target))






