
'''simple docstring'''




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 					A							(				__snake_case       ,     unittest.TestCase		):
     __magic_name__          =						MgpstrTokenizer
     __magic_name__          =						False
     __magic_name__          =						{}
     __magic_name__          =						False





     def 							__lowerCAmelCase				(				self      )					->							Tuple:






         """simple docstring"""






         super().setUp()

         # fmt: off
         A			:  Union[str, Any]   =		['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
         # fmt: on
         A			:  int   =		dict(zip(SCREAMING_SNAKE_CASE		,     range(len(SCREAMING_SNAKE_CASE      )      )      )      )

         A			:  List[Any]   =		os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''vocab_file''']      )
         with open(self.vocab_file		,     '''w'''		,     encoding='''utf-8'''      ) as fp:
             fp.write(json.dumps(SCREAMING_SNAKE_CASE      ) + '''\n'''      )





     def 							__lowerCAmelCase				(				self		,     **SCREAMING_SNAKE_CASE      )					->							Any:






         """simple docstring"""






         return MgpstrTokenizer.from_pretrained(self.tmpdirname		,     **SCREAMING_SNAKE_CASE      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							Tuple:






         """simple docstring"""






         A			:  List[Any]   =		'''tester'''
         A			:  List[Any]   =		'''tester'''
         return input_text, output_text





     @unittest.skip('''MGP-STR always lower cases letters.'''      )
     def 							__lowerCAmelCase				(				self      )					->							Union[str, Any]:






         """simple docstring"""






         pass





     def 							__lowerCAmelCase				(				self      )					->							Union[str, Any]:






         """simple docstring"""






         A			:  List[Any]   =		self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE      )
         for tokenizer in tokenizers:
             with self.subTest(F'{tokenizer.__class__.__name__}'      ):
                 A			:  List[Any]   =		'''[SPECIAL_TOKEN]'''

                 tokenizer.add_special_tokens({'''cls_token''': special_token}      )
                 A			:  Union[str, Any]   =		tokenizer.encode([special_token]		,     add_special_tokens=SCREAMING_SNAKE_CASE      )
                 self.assertEqual(len(SCREAMING_SNAKE_CASE      )		,     1      )

                 A			:  Union[str, Any]   =		tokenizer.decode(SCREAMING_SNAKE_CASE		,     skip_special_tokens=SCREAMING_SNAKE_CASE      )
                 self.assertTrue(special_token not in decoded      )





     def 							__lowerCAmelCase				(				self      )					->							List[str]:






         """simple docstring"""






         A			:  Optional[Any]   =		self.get_tokenizers()
         for tokenizer in tokenizers:
             with self.subTest(F'{tokenizer.__class__.__name__}'      ):
                 A,    A			:  List[str]   =		self.get_input_output_texts(SCREAMING_SNAKE_CASE      )

                 A			:  str   =		tokenizer.tokenize(SCREAMING_SNAKE_CASE      )
                 A			:  int   =		tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE      )
                 A			:  int   =		tokenizer.encode(SCREAMING_SNAKE_CASE		,     add_special_tokens=SCREAMING_SNAKE_CASE      )
                 self.assertListEqual(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )

                 A			:  Optional[Any]   =		tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE      )
                 self.assertNotEqual(len(SCREAMING_SNAKE_CASE      )		,     0      )
                 A			:  Union[str, Any]   =		tokenizer.decode(SCREAMING_SNAKE_CASE      )
                 self.assertIsInstance(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )

                 self.assertEqual(text_a.replace(''' '''		,     ''''''      )		,     SCREAMING_SNAKE_CASE      )





     @unittest.skip('''MGP-STR tokenizer only handles one sequence.'''      )
     def 							__lowerCAmelCase				(				self      )					->							int:






         """simple docstring"""






         pass





     @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''      )
     def 							__lowerCAmelCase				(				self      )					->							Optional[int]:






         """simple docstring"""






         pass






'''simple docstring'''




import random







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    A,    A,    A			:  Any   =		[], [], []
    for element in data:
        if element < pivot:
            less.append(snake_case__		)
        elif element > pivot:
            greater.append(snake_case__		)
        else:
            equal.append(snake_case__		)
    return less, equal, greater







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    if index >= len(snake_case__		) or index < 0:
        return None

    A			:  List[Any]   =		items[random.randint(0						,							len(snake_case__		) - 1		)]
    A			:  Optional[int]   =		0
    A,    A,    A			:  Dict   =		_partition(snake_case__						,							snake_case__		)
    A			:  int   =		len(snake_case__		)
    A			:  List[Any]   =		len(snake_case__		)

    # index is the pivot
    if m <= index < m + count:
        return pivot
    # must be in smaller
    elif m > index:
        return quick_select(snake_case__						,							snake_case__		)
    # must be in larger
    else:
        return quick_select(snake_case__						,							index - (m + count)		)




