



"""simple docstring"""




import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class      UpperCAmelCase_  (    _UpperCamelCase	,      unittest.TestCase						):
      __SCREAMING_SNAKE_CASE						:       Union[str, Any]								=			None
      __SCREAMING_SNAKE_CASE						:       int								=			BloomTokenizerFast
      __SCREAMING_SNAKE_CASE						:       Dict								=			BloomTokenizerFast
      __SCREAMING_SNAKE_CASE						:       str								=			True
      __SCREAMING_SNAKE_CASE						:       Tuple								=			False
      __SCREAMING_SNAKE_CASE						:       Optional[int]								=			'tokenizer_file'
      __SCREAMING_SNAKE_CASE						:       Union[str, Any]								=			{'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}



      def 						snake_case_ (					self					:     Union[str, Any]						):
           super().setUp()
           _UpperCAmelCase      :     Tuple        =   BloomTokenizerFast.from_pretrained("bigscience/tokenizer"						)
           tokenizer.save_pretrained(self.tmpdirname						)



      def 						snake_case_ (					self					:     str					,     **A					:     List[str]						):
           kwargs.update(self.special_tokens_map						)
           return BloomTokenizerFast.from_pretrained(self.tmpdirname					,     **A						)



      def 						snake_case_ (					self					:     Optional[int]						):
           _UpperCAmelCase      :     List[Any]        =   self.get_rust_tokenizer()

           _UpperCAmelCase      :     Dict        =   ["The quick brown fox</s>", "jumps over the lazy dog</s>"]
           _UpperCAmelCase      :     List[str]        =   [[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

           _UpperCAmelCase      :     List[Any]        =   tokenizer.batch_encode_plus(A						)["input_ids"]
           self.assertListEqual(A					,     A						)

           _UpperCAmelCase      :     Optional[int]        =   tokenizer.batch_decode(A						)
           self.assertListEqual(A					,     A						)



      def 						snake_case_ (					self					:     Dict					,     A					:     Optional[Any]=6						):
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'						):
                     _UpperCAmelCase      :     Union[str, Any]        =   self.rust_tokenizer_class.from_pretrained(A					,     **A						)
                     # tokenizer_r.pad_token = None # Hotfixing padding = None
                     # Simple input
                     _UpperCAmelCase      :     str        =   "This is a simple input"
                     _UpperCAmelCase      :     str        =   ["This is a simple input 1", "This is a simple input 2"]
                     _UpperCAmelCase      :     int        =   ("This is a simple input", "This is a pair")
                     _UpperCAmelCase      :     List[str]        =   [
                         ("This is a simple input 1", "This is a simple input 2"),
                         ("This is a simple pair 1", "This is a simple pair 2"),
                     ]

                     # Simple input tests
                     try:
                          tokenizer_r.encode(A					,     max_length=A						)
                          tokenizer_r.encode_plus(A					,     max_length=A						)

                          tokenizer_r.batch_encode_plus(A					,     max_length=A						)
                          tokenizer_r.encode(A					,     max_length=A						)
                          tokenizer_r.batch_encode_plus(A					,     max_length=A						)
                     except ValueError:
                          self.fail("Bloom Tokenizer should be able to deal with padding"						)

                     _UpperCAmelCase      :     List[Any]        =   None  # Hotfixing padding = None
                     self.assertRaises(A					,     tokenizer_r.encode					,     A					,     max_length=A					,     padding="max_length"						)

                     # Simple input
                     self.assertRaises(A					,     tokenizer_r.encode_plus					,     A					,     max_length=A					,     padding="max_length"						)

                     # Simple input
                     self.assertRaises(
                         A					,     tokenizer_r.batch_encode_plus					,     A					,     max_length=A					,     padding="max_length"					,     )

                     # Pair input
                     self.assertRaises(A					,     tokenizer_r.encode					,     A					,     max_length=A					,     padding="max_length"						)

                     # Pair input
                     self.assertRaises(A					,     tokenizer_r.encode_plus					,     A					,     max_length=A					,     padding="max_length"						)

                     # Pair input
                     self.assertRaises(
                         A					,     tokenizer_r.batch_encode_plus					,     A					,     max_length=A					,     padding="max_length"					,     )



      def 						snake_case_ (					self					:     int						):
           _UpperCAmelCase      :     Dict        =   self.get_rust_tokenizer()
           _UpperCAmelCase      :     Tuple        =   load_dataset("xnli"					,     "all_languages"					,     split="test"					,     streaming=A						)

           _UpperCAmelCase      :     List[Any]        =   next(iter(A						)						)["premise"]  # pick up one data
           _UpperCAmelCase      :     Optional[int]        =   list(sample_data.values()						)

           _UpperCAmelCase      :     Optional[int]        =   list(map(tokenizer.encode					,     A						)						)
           _UpperCAmelCase      :     Union[str, Any]        =   [tokenizer.decode(A					,     clean_up_tokenization_spaces=A						) for x in output_tokens]
           self.assertListEqual(A					,     A						)



      def 						snake_case_ (					self					:     Tuple						):
           # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
           # any sequence length constraints. This test of the parent class will fail since it relies on the
           # maximum sequence length of the positoonal embeddings.
           self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map						)					,     1						)
           self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()						)[0]						)					,     1						)





"""simple docstring"""




def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						list    )  ->       list:





     '''simple docstring'''

     if len(SCREAMING_SNAKE_CASE__    ) < 2:
          return collection

     def circle_sort_util(SCREAMING_SNAKE_CASE__     :						list						,  SCREAMING_SNAKE_CASE__     :						int						,  SCREAMING_SNAKE_CASE__     :						int    ) -> bool:
          _UpperCAmelCase      :     Dict        =   False

          if low == high:
               return swapped

          _UpperCAmelCase      :     str        =   low
          _UpperCAmelCase      :     Dict        =   high

          while left < right:
               if collection[left] > collection[right]:
                    _UpperCAmelCase    ,	_UpperCAmelCase      :     List[str]        =   (
                        collection[right],
                        collection[left],
                    )
                    _UpperCAmelCase      :     Optional[int]        =   True

               left += 1
               right -= 1

          if left == right and collection[left] > collection[right + 1]:
               _UpperCAmelCase    ,	_UpperCAmelCase      :     int        =   (
                   collection[right + 1],
                   collection[left],
               )

               _UpperCAmelCase      :     Union[str, Any]        =   True

          _UpperCAmelCase      :     Dict        =   low + int((high - low) / 2    )
          _UpperCAmelCase      :     Any        =   circle_sort_util(SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__    )
          _UpperCAmelCase      :     Optional[Any]        =   circle_sort_util(SCREAMING_SNAKE_CASE__						,  mid + 1						,  SCREAMING_SNAKE_CASE__    )

          return swapped or left_swap or right_swap

     _UpperCAmelCase      :     Tuple        =   True

     while is_not_sorted is True:
          _UpperCAmelCase      :     Dict        =   circle_sort_util(SCREAMING_SNAKE_CASE__						,  0						,  len(SCREAMING_SNAKE_CASE__    ) - 1    )

     return collection


if __name__ == "__main__":
 _lowerCAmelCase    : Dict							=							input("Enter numbers separated by a comma:\n").strip()
 _lowerCAmelCase    : Optional[Any]							=							[int(item) for item in user_input.split(",")]
 print(circle_sort(unsorted))
