

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__ (__snake_case		,	unittest.TestCase					):
    __lowerCamelCase						:	List[str]														=					CTRLTokenizer
    __lowerCamelCase						:	Union[str, Any]														=					False
    __lowerCamelCase						:	List[str]														=					False





    def 				snake_case_    (				self):
         super().setUp()

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

         lowercase__   :       List[str]				=	os.path.join(self.tmpdirname						,       VOCAB_FILES_NAMES['vocab_file'])
         lowercase__   :       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(a) + '\n')
         with open(self.merges_file						,       'w'						,       encoding='utf-8') as fp:
              fp.write('\n'.join(a))





    def 				snake_case_    (				self						,       **a):
         kwargs.update(self.special_tokens_map)
         return CTRLTokenizer.from_pretrained(self.tmpdirname						,       **a)





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Optional[Any]				=	'adapt react readapt apt'
         lowercase__   :       Dict				=	'adapt react readapt apt'
         return input_text, output_text





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

         lowercase__   :       Dict				=	tokens + [tokenizer.unk_token]

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




import math
import sys

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



     '''simple docstring'''





     if number != int(SCREAMING_SNAKE_CASE_      ):
          raise ValueError('the value of input must be a natural number'      )
     if number < 0:
          raise ValueError('the value of input must not be a negative number'      )
     if number == 0:
          return 1
     lowercase__   :       Tuple				=	[-1] * (number + 1)
     lowercase__   :       Tuple				=	0
     for i in range(1     ,					number + 1      ):
          lowercase__   :       Tuple				=	sys.maxsize
          lowercase__   :       str				=	int(math.sqrt(SCREAMING_SNAKE_CASE_      )      )
          for j in range(1     ,					root + 1      ):
               lowercase__   :       List[Any]				=	1 + answers[i - (j**2)]
               lowercase__   :       str				=	min(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
          lowercase__   :       List[str]				=	answer
     return answers[number]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

