"""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    (				SCREAMING_SNAKE_CASE_   ,							unittest.TestCase     ):
   __UpperCAmelCase			:	str							  =  CTRLTokenizer
   __UpperCAmelCase			:	str							  =  False
   __UpperCAmelCase			:	int							  =  False







   def 			lowerCamelCase		(     self						)     ->		int:

       '''simple docstring'''




       super().setUp()

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

       snake_case   :				int				 =   os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES["vocab_file"]						)
       snake_case   :				List[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(snake_case__						) + "\n"						)
       with open(self.merges_file						,     "w"						,     encoding="utf-8"						) as fp:
           fp.write("\n".join(snake_case__						)						)







   def 			lowerCamelCase		(     self						,     **UpperCamelCase__						)     ->		Optional[Any]:

       '''simple docstring'''




       kwargs.update(self.special_tokens_map						)
       return CTRLTokenizer.from_pretrained(self.tmpdirname						,     **snake_case__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		Optional[Any]:

       '''simple docstring'''




       snake_case   :				Any				 =   'adapt react readapt apt'
       snake_case   :				Tuple				 =   'adapt react readapt apt'
       return input_text, output_text







   def 			lowerCamelCase		(     self						)     ->		List[str]:

       '''simple docstring'''




       snake_case   :				Optional[int]				 =   CTRLTokenizer(self.vocab_file						,     self.merges_file						,     **self.special_tokens_map						)
       snake_case   :				List[str]				 =   'adapt react readapt apt'
       snake_case   :				Tuple				 =   'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
       snake_case   :				Union[str, Any]				 =   tokenizer.tokenize(snake_case__						)
       self.assertListEqual(snake_case__						,     snake_case__						)

       snake_case   :				List[str]				 =   tokens + [tokenizer.unk_token]

       snake_case   :				Any				 =   [0, 1, 2, 4, 5, 1, 0, 3, 6]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__						)						,     snake_case__						)









"""simple docstring"""



from __future__ import annotations

import numpy as np







def   __lowerCAmelCase						(						lowercase  :  list[float]			)     ->						Any:


    """simple docstring"""





    return np.maximum(0						,							lowercase			)


if __name__ == "__main__":
  print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]





