





'''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   UpperCAmelCase      (			__snake_case     ,			unittest.TestCase							):
 __lowercase  						=							BioGptTokenizer
 __lowercase  						=							False
 def 	UpperCAmelCase_				(							self :Optional[Any]				)->				List[str]:
     super().setUp()

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

     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"				) as fp:
         fp.write(json.dumps(lowercase_				)				)
     with open(self.merges_file		,			"w"				) as fp:
         fp.write("\n".join(lowercase_				)				)
 def 	UpperCAmelCase_				(							self :Tuple		,			lowercase_ :str				)->				Optional[Any]:
     A__							=     '''lower newer'''
     A__							=     '''lower newer'''
     return input_text, output_text
 def 	UpperCAmelCase_				(							self :Union[str, Any]				)->				Tuple:
     A__							=     BioGptTokenizer(self.vocab_file		,			self.merges_file				)

     A__							=     '''lower'''
     A__							=     ['''low''', '''er</w>''']
     A__							=     tokenizer.tokenize(lowercase_				)
     self.assertListEqual(lowercase_		,			lowercase_				)

     A__							=     tokens + ['''<unk>''']
     A__							=     [14, 15, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_				)		,			lowercase_				)



 @slow
 def 	UpperCAmelCase_				(							self :List[str]				)->				List[str]:
     A__							=     BioGptTokenizer.from_pretrained("microsoft/biogpt"				)

     A__							=     tokenizer.encode("sequence builders"		,			add_special_tokens=lowercase_				)
     A__							=     tokenizer.encode("multi-sequence build"		,			add_special_tokens=lowercase_				)

     A__							=     tokenizer.build_inputs_with_special_tokens(lowercase_				)
     A__							=     tokenizer.build_inputs_with_special_tokens(lowercase_		,			lowercase_				)

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





'''simple docstring'''




def 						lowerCAmelCase_							(  snake_case__		):




    '''simple docstring'''



    if len(snake_case__		) <= 1:
        return [tuple(snake_case__		)]

    A			:  int   =		[]

    def generate(snake_case__						,							snake_case__		):
        if k == 1:
            res.append(tuple(arr[:]		)		)
            return

        generate(k - 1						,							snake_case__		)

        for i in range(k - 1		):
            if k % 2 == 0:  # k is even
                A,    A			:  Any   =		arr[k - 1], arr[i]
            else:  # k is odd
                A,    A			:  List[str]   =		arr[k - 1], arr[0]
            generate(k - 1						,							snake_case__		)

    generate(len(snake_case__		)						,							snake_case__		)
    return res


if __name__ == "__main__":
      lowercase     :							int       						=     input('Enter numbers separated by a comma:\n').strip()
      lowercase     :							Dict       						=     [int(item) for item in user_input.split(',')]
      print(heaps(arr))




