

'''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__   (   _snake_case    ,    unittest.TestCase      ):
    lowercase						       =		CTRLTokenizer
    lowercase						       =		False
    lowercase						       =		False



    def        snake_case_      (       self							)    ->   int:





           '''simple docstring'''
           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        snake_case_      (       self		,					**UpperCamelCase__							)    ->   int:





           '''simple docstring'''
           kwargs.update(self.special_tokens_map							)
           return CTRLTokenizer.from_pretrained(self.tmpdirname		,					**UpperCamelCase__							)



    def        snake_case_      (       self		,					UpperCamelCase__							)    ->   int:





           '''simple docstring'''
           A_						       =   """adapt react readapt apt"""
           A_						       =   """adapt react readapt apt"""
           return input_text, output_text







    def        snake_case_      (       self							)    ->   Tuple:





           '''simple docstring'''
           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'''







from bisect import bisect
from itertools import accumulate
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__					)      ->      Dict:
       A_						       =   sorted(zip(UpperCAmelCase__,							UpperCAmelCase__					),							key=lambda UpperCAmelCase__					: x[0] / x[1],							reverse=UpperCAmelCase__					)
       A_       ,      A_						       =   [i[0] for i in r], [i[1] for i in r]
       A_						       =   list(accumulate(UpperCAmelCase__					)					)
       A_						       =   bisect(UpperCAmelCase__,							UpperCAmelCase__					)
       return (
           0
           if k == 0
           else sum(vl[:k]					) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
           if k != n
           else sum(vl[:k]					)
       )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
