
'''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  __A				( __a    ,						unittest.TestCase			):
 lowerCamelCase				       =CTRLTokenizer
 lowerCamelCase				       =False
 lowerCamelCase				       =False
 def 		lowercase_(   self			:    str       ):



   """simple docstring"""





   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   __A		:     List[str]												=		["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
   __A		:     List[Any]												=		dict(zip(snake_case__				,   range(len(snake_case__       )       )       )       )
   __A		:     Tuple												=		["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
   __A		:     List[Any]												=		{"""unk_token""": """<unk>"""}

   __A		:     List[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(snake_case__       ) + """\n"""       )
   with open(self.merges_file				,   """w"""				,   encoding="""utf-8"""       ) as fp:
     fp.write("""\n""".join(snake_case__       )       )
 def 		lowercase_(   self			:    Any				,   **lowerCamelCase			:    int       ):



   """simple docstring"""





   kwargs.update(self.special_tokens_map       )
   return CTRLTokenizer.from_pretrained(self.tmpdirname				,   **snake_case__       )
 def 		lowercase_(   self			:    List[str]				,   lowerCamelCase			:    Tuple       ):



   """simple docstring"""





   __A		:     Any												=		"""adapt react readapt apt"""
   __A		:     Optional[Any]												=		"""adapt react readapt apt"""
   return input_text, output_text






 def 		lowercase_(   self			:    int       ):



   """simple docstring"""





   __A		:     Dict												=		CTRLTokenizer(self.vocab_file				,   self.merges_file				,   **self.special_tokens_map       )
   __A		:     Any												=		"""adapt react readapt apt"""
   __A		:     Optional[int]												=		"""adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
   __A		:     Optional[int]												=		tokenizer.tokenize(snake_case__       )
   self.assertListEqual(snake_case__				,   snake_case__       )

   __A		:     Any												=		tokens + [tokenizer.unk_token]

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





'''simple docstring'''
from collections.abc import Sequence







def        A_     (						__SCREAMING_SNAKE_CASE						:  Sequence[float]			,     __SCREAMING_SNAKE_CASE						:  bool = False )				->       float:





  """simple docstring"""

  if not arr:
    return 0

  __A		:     Any												=		0 if allow_empty_subarrays else float("""-inf""" )
  __A		:     List[Any]												=		0.0
  for num in arr:
    __A		:     Tuple												=		max(0 if allow_empty_subarrays else num			,     curr_sum + num )
    __A		:     Optional[int]												=		max(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE )

  return max_sum


if __name__ == "__main__":
     from doctest import testmod

     testmod()

     A__   :		Any 		=[-2, 1, -3, 4, -1, 2, 1, -5, 4]
     print(F"{max_subarray_sum(nums) = }")



