


'''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 						__SCREAMING_SNAKE_CASE					(      lowerCamelCase__ ,			unittest.TestCase ):
     UpperCAmelCase 					=				CTRLTokenizer
     UpperCAmelCase 					=				False
     UpperCAmelCase 					=				False






     def  a_					(			self		)       ->    Any:
          super().setUp()

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

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






     def  a_					(			self     ,							**__UpperCamelCase		)       ->    str:
          kwargs.update(self.special_tokens_map		)
          return CTRLTokenizer.from_pretrained(self.tmpdirname     ,							**__UpperCamelCase		)






     def  a_					(			self     ,							__UpperCamelCase		)       ->    List[str]:
          _a						=		"adapt react readapt apt"
          _a						=		"adapt react readapt apt"
          return input_text, output_text






     def  a_					(			self		)       ->    int:
          _a						=		CTRLTokenizer(self.vocab_file     ,							self.merges_file     ,							**self.special_tokens_map		)
          _a						=		"adapt react readapt apt"
          _a						=		"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
          _a						=		tokenizer.tokenize(__UpperCamelCase		)
          self.assertListEqual(__UpperCamelCase     ,							__UpperCamelCase		)

          _a						=		tokens + [tokenizer.unk_token]

          _a						=		[0, 1, 2, 4, 5, 1, 0, 3, 6]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase		)     ,							__UpperCamelCase		)





'''simple docstring'''

class 						__SCREAMING_SNAKE_CASE					:






     def __init__(			self     ,							__UpperCamelCase		)       ->    Optional[Any]:
          # we need a list not a string, so do something to change the type
          _a						=		arr.split(","		)






     def  a_					(			self		)       ->    List[Any]:
          _a						=		[int(self.array[0]		)] * len(self.array		)
          _a						=		[int(self.array[0]		)] * len(self.array		)
          for i in range(1     ,							len(self.array		)		):
               _a						=		max(
                   int(self.array[i]		) + sum_value[i - 1]     ,							int(self.array[i]		)		)
               _a						=		max(sum_value[i]     ,							rear[i - 1]		)
          return rear[len(self.array		) - 1]


if __name__ == "__main__":
   lowercase__				     =		input("please input some numbers:")
   lowercase__				     =		SubArray(whole_array)
   lowercase__				     =		array.solve_sub_array()
   print(("the results is:", re))

