


'''simple docstring'''







import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 	UpperCamelCase__					( SCREAMING_SNAKE_CASE_    ,					unittest.TestCase	):



     """simple docstring"""






     __magic_name__    			=    RobertaTokenizer
     __magic_name__    			=    RobertaTokenizerFast
     __magic_name__    			=    True
     __magic_name__    			=    {"cls_token": "<s>"}







     def a	( self   ):

            '''simple docstring'''

            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            _lowerCAmelCase    :							Any   			=       [
                'l',
                'o',
                'w',
                'e',
                'r',
                's',
                't',
                'i',
                'd',
                'n',
                '\u0120',
                '\u0120l',
                '\u0120n',
                '\u0120lo',
                '\u0120low',
                'er',
                '\u0120lowest',
                '\u0120newer',
                '\u0120wider',
                '<unk>',
            ]
            _lowerCAmelCase    :							Optional[Any]   			=       dict(zip(snake_case__      ,	range(len(snake_case__   )   )   )   )
            _lowerCAmelCase    :							Any   			=       ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
            _lowerCAmelCase    :							Optional[Any]   			=       {'unk_token': '<unk>'}

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







     def a	( self      ,	**snake_case__   ):

            '''simple docstring'''

            kwargs.update(self.special_tokens_map   )
            return self.tokenizer_class.from_pretrained(self.tmpdirname      ,	**snake_case__   )







     def a	( self      ,	**snake_case__   ):

            '''simple docstring'''

            kwargs.update(self.special_tokens_map   )
            return RobertaTokenizerFast.from_pretrained(self.tmpdirname      ,	**snake_case__   )







     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[Any]   			=       'lower newer'
            _lowerCAmelCase    :							Dict   			=       'lower newer'
            return input_text, output_text







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[Any]   			=       self.tokenizer_class(self.vocab_file      ,	self.merges_file      ,	**self.special_tokens_map   )
            _lowerCAmelCase    :							Optional[Any]   			=       'lower newer'
            _lowerCAmelCase    :							Optional[int]   			=       ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
            _lowerCAmelCase    :							List[str]   			=       tokenizer.tokenize(snake_case__   )  # , add_prefix_space=True)
            self.assertListEqual(snake_case__      ,	snake_case__   )

            _lowerCAmelCase    :							Tuple   			=       tokens + [tokenizer.unk_token]
            _lowerCAmelCase    :							Optional[int]   			=       [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__   )      ,	snake_case__   )







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							str   			=       self.get_tokenizer()

            self.assertListEqual(tokenizer.encode('Hello world!'      ,	add_special_tokens=snake_case__   )      ,	[0, 3_1414, 232, 328, 2]   )
            self.assertListEqual(
                tokenizer.encode('Hello world! cécé herlolip 418'      ,	add_special_tokens=snake_case__   )      ,	[0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]      ,	)







     @slow
     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[Any]   			=       self.tokenizer_class.from_pretrained('roberta-base'   )

            _lowerCAmelCase    :							Any   			=       tokenizer.encode('sequence builders'      ,	add_special_tokens=snake_case__   )
            _lowerCAmelCase    :							Any   			=       tokenizer.encode('multi-sequence build'      ,	add_special_tokens=snake_case__   )

            _lowerCAmelCase    :							List[Any]   			=       tokenizer.encode(
                'sequence builders'      ,	add_special_tokens=snake_case__      ,	add_prefix_space=snake_case__   )
            _lowerCAmelCase    :							Dict   			=       tokenizer.encode(
                'sequence builders'      ,	'multi-sequence build'      ,	add_special_tokens=snake_case__      ,	add_prefix_space=snake_case__   )

            _lowerCAmelCase    :							Dict   			=       tokenizer.build_inputs_with_special_tokens(snake_case__   )
            _lowerCAmelCase    :							str   			=       tokenizer.build_inputs_with_special_tokens(snake_case__      ,	snake_case__   )

            assert encoded_sentence == encoded_text_from_decode
            assert encoded_pair == encoded_pair_from_decode







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[Any]   			=       self.get_tokenizer()

            _lowerCAmelCase    :							int   			=       'Encode this sequence.'
            _lowerCAmelCase    :							List[str]   			=       tokenizer.byte_encoder[' '.encode('utf-8'   )[0]]

            # Testing encoder arguments
            _lowerCAmelCase    :							Tuple   			=       tokenizer.encode(snake_case__      ,	add_special_tokens=snake_case__      ,	add_prefix_space=snake_case__   )
            _lowerCAmelCase    :							str   			=       tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
            self.assertNotEqual(snake_case__      ,	snake_case__   )

            _lowerCAmelCase    :							List[Any]   			=       tokenizer.encode(snake_case__      ,	add_special_tokens=snake_case__      ,	add_prefix_space=snake_case__   )
            _lowerCAmelCase    :							List[Any]   			=       tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
            self.assertEqual(snake_case__      ,	snake_case__   )

            tokenizer.add_special_tokens({'bos_token': '<s>'}   )
            _lowerCAmelCase    :							Dict   			=       tokenizer.encode(snake_case__      ,	add_special_tokens=snake_case__   )
            _lowerCAmelCase    :							List[str]   			=       tokenizer.convert_ids_to_tokens(encoded[1]   )[0]
            self.assertNotEqual(snake_case__      ,	snake_case__   )

            # Testing spaces after special tokens
            _lowerCAmelCase    :							Tuple   			=       '<mask>'
            tokenizer.add_special_tokens(
                {'mask_token': AddedToken(snake_case__      ,	lstrip=snake_case__      ,	rstrip=snake_case__   )}   )  # mask token has a left space
            _lowerCAmelCase    :							List[str]   			=       tokenizer.convert_tokens_to_ids(snake_case__   )

            _lowerCAmelCase    :							Tuple   			=       'Encode <mask> sequence'
            _lowerCAmelCase    :							Dict   			=       'Encode <mask>sequence'

            _lowerCAmelCase    :							List[str]   			=       tokenizer.encode(snake_case__   )
            _lowerCAmelCase    :							Any   			=       encoded.index(snake_case__   )
            _lowerCAmelCase    :							Any   			=       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
            self.assertEqual(snake_case__      ,	snake_case__   )

            _lowerCAmelCase    :							List[str]   			=       tokenizer.encode(snake_case__   )
            _lowerCAmelCase    :							int   			=       encoded.index(snake_case__   )
            _lowerCAmelCase    :							Any   			=       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
            self.assertNotEqual(snake_case__      ,	snake_case__   )







     def a	( self   ):

            '''simple docstring'''

            pass







     def a	( self   ):

            '''simple docstring'''

            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                          _lowerCAmelCase    :							Optional[int]   			=       self.rust_tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )
                          _lowerCAmelCase    :							int   			=       self.tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )
                          _lowerCAmelCase    :							List[Any]   			=       'A, <mask> AllenNLP sentence.'
                          _lowerCAmelCase    :							str   			=       tokenizer_r.encode_plus(snake_case__      ,	add_special_tokens=snake_case__      ,	return_token_type_ids=snake_case__   )
                          _lowerCAmelCase    :							List[Any]   			=       tokenizer_p.encode_plus(snake_case__      ,	add_special_tokens=snake_case__      ,	return_token_type_ids=snake_case__   )

                          # token_type_ids should put 0 everywhere
                          self.assertEqual(sum(tokens_r['token_type_ids']   )      ,	sum(tokens_p['token_type_ids']   )   )

                          # attention_mask should put 1 everywhere, so sum over length should be 1
                          self.assertEqual(
                              sum(tokens_r['attention_mask']   ) / len(tokens_r['attention_mask']   )      ,	sum(tokens_p['attention_mask']   ) / len(tokens_p['attention_mask']   )      ,	)

                          _lowerCAmelCase    :							Optional[Any]   			=       tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']   )
                          _lowerCAmelCase    :							str   			=       tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']   )

                          # Rust correctly handles the space before the mask while python doesnt
                          self.assertSequenceEqual(tokens_p['input_ids']      ,	[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]   )
                          self.assertSequenceEqual(tokens_r['input_ids']      ,	[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]   )

                          self.assertSequenceEqual(
                              snake_case__      ,	['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )
                          self.assertSequenceEqual(
                              snake_case__      ,	['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']   )







     def a	( self   ):

            '''simple docstring'''

            for trim_offsets, add_prefix_space in itertools.product([True, False]      ,	repeat=2   ):
                   _lowerCAmelCase    :							Any   			=       self.rust_tokenizer_class.from_pretrained(
                       self.tmpdirname      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )

                   _lowerCAmelCase    :							str   			=       json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
                   _lowerCAmelCase    :							Optional[int]   			=       json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

                   self.assertEqual(pre_tokenizer_state['add_prefix_space']      ,	snake_case__   )

                   self.assertEqual(post_processor_state['add_prefix_space']      ,	snake_case__   )
                   self.assertEqual(post_processor_state['trim_offsets']      ,	snake_case__   )







     def a	( self   ):

            '''simple docstring'''

            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                          _lowerCAmelCase    :							Any   			=       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                          _lowerCAmelCase    :							Optional[int]   			=       F'{text_of_1_token} {text_of_1_token}'

                          _lowerCAmelCase    :							str   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							Optional[int]   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(0, len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(len(snake_case__   ) + 1, len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)

                          _lowerCAmelCase    :							Dict   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							Optional[Any]   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(0, len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(len(snake_case__   ) + 1, len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)

                          _lowerCAmelCase    :							str   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							Union[str, Any]   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(0, len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(len(snake_case__   ), len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)

                          _lowerCAmelCase    :							List[Any]   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							List[Any]   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(0, len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(len(snake_case__   ), len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)

                          _lowerCAmelCase    :							str   			=       F' {text}'

                          # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                          #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                          # )
                          # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                          # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                          # self.assertEqual(
                          #     encoding.offset_mapping[1],
                          #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                          # )

                          _lowerCAmelCase    :							List[str]   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							int   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(1, 1 + len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(1 + len(snake_case__   ) + 1, 1 + len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)

                          _lowerCAmelCase    :							Any   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							List[Any]   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(0, 1 + len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(1 + len(snake_case__   ), 1 + len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)

                          _lowerCAmelCase    :							str   			=       self.rust_tokenizer_class.from_pretrained(
                              snake_case__      ,	use_fast=snake_case__      ,	add_prefix_space=snake_case__      ,	trim_offsets=snake_case__   )
                          _lowerCAmelCase    :							Optional[int]   			=       tokenizer_r(snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__   )
                          self.assertEqual(encoding.offset_mapping[0]      ,	(0, 1 + len(snake_case__   ))   )
                          self.assertEqual(
                              encoding.offset_mapping[1]      ,	(1 + len(snake_case__   ), 1 + len(snake_case__   ) + 1 + len(snake_case__   ))      ,	)





'''simple docstring'''







def 			lowercase				(_A					):







       """simple docstring"""







       _lowerCAmelCase    :							Dict   			=       len(_A					)
       while cur > 1:
              # Find the maximum number in arr
              _lowerCAmelCase    :							int   			=       arr.index(max(arr[0:cur]					)					)
              # Reverse from 0 to mi
              _lowerCAmelCase    :							Dict   			=       arr[mi::-1] + arr[mi + 1 : len(_A					)]
              # Reverse whole list
              _lowerCAmelCase    :							Optional[int]   			=       arr[cur - 1 :: -1] + arr[cur : len(_A					)]
              cur -= 1
       return arr


if __name__ == "__main__":
       lowerCAmelCase    :     Tuple					=						input("""Enter numbers separated by a comma:\n""").strip()
       lowerCAmelCase    :     Tuple					=						[int(item) for item in user_input.split(""",""")]
       print(pancake_sort(unsorted))

