





'''simple docstring'''

import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class __a			( _snake_case, unittest.TestCase      ):
   __UpperCamelCase :			Union[str, Any]						   =						BioGptTokenizer
   __UpperCamelCase :			Optional[Any]						   =						False





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      __SCREAMING_SNAKE_CASE   				=							[
          """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>""",
          """<unk>""",
      ]
      __SCREAMING_SNAKE_CASE   				=							dict(zip(lowerCamelCase					,range(len(lowerCamelCase     )     )     )     )
      __SCREAMING_SNAKE_CASE   				=							["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

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





   def   UpperCAmelCase__  (       self					:      Any					,lowerCamelCase					:      Tuple     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							"""lower newer"""
      __SCREAMING_SNAKE_CASE   				=							"""lower newer"""
      return input_text, output_text





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							BioGptTokenizer(self.vocab_file					,self.merges_file     )

      __SCREAMING_SNAKE_CASE   				=							"""lower"""
      __SCREAMING_SNAKE_CASE   				=							["""low""", """er</w>"""]
      __SCREAMING_SNAKE_CASE   				=							tokenizer.tokenize(lowerCamelCase     )
      self.assertListEqual(lowerCamelCase					,lowerCamelCase     )

      __SCREAMING_SNAKE_CASE   				=							tokens + ["""<unk>"""]
      __SCREAMING_SNAKE_CASE   				=							[14, 15, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase     )					,lowerCamelCase     )





   @slow
   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							BioGptTokenizer.from_pretrained("""microsoft/biogpt"""     )

      __SCREAMING_SNAKE_CASE   				=							tokenizer.encode("""sequence builders"""					,add_special_tokens=lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							tokenizer.encode("""multi-sequence build"""					,add_special_tokens=lowerCamelCase     )

      __SCREAMING_SNAKE_CASE   				=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase					,lowerCamelCase     )

      self.assertTrue(encoded_sentence == [2] + text     )
      self.assertTrue(encoded_pair == [2] + text + [2] + text_a     )









"""simple docstring"""


def    _lowerCamelCase   (     lowerCamelCase__	:							Optional[Any]  ):
 lowercase__       :       List[str]				=						len(lowerCamelCase__  )
 lowercase__       :       Optional[int]				=						sum(lowerCamelCase__  )

 lowercase__       :       Optional[int]				=						[[False for x in range(s + 1  )] for y in range(n + 1  )]

 for i in range(1       ,		n + 1  ):
  lowercase__       :       int				=						True

 for i in range(1       ,		s + 1  ):
  lowercase__       :       int				=						False

 for i in range(1       ,		n + 1  ):
  for j in range(1       ,		s + 1  ):
   lowercase__       :       Optional[Any]				=						dp[i][j - 1]

   if arr[i - 1] <= j:
    lowercase__       :       int				=						dp[i][j] or dp[i - 1][j - arr[i - 1]]

 for j in range(int(s / 2  )       ,		-1       ,		-1  ):
  if dp[n][j] is True:
   lowercase__       :       List[Any]				=						s - 2 * j
   break

 return diff