"""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  _lowerCamelCase			(__lowerCamelCase						,							unittest.TestCase     ):
				_snake_case     =  RobertaTokenizer
				_snake_case     =  RobertaTokenizerFast
				_snake_case     =  True
				_snake_case     =  {"cls_token": "<s>"}







				def 							__UpperCAmelCase					( self    :       List[Any]						):

					"""simple docstring"""






					super().setUp()

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

					_lowercase :    Dict							=							os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['vocab_file']						)
					_lowercase :    Tuple							=							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(lowerCamelCase_						) + '\n'						)
					with open(self.merges_file			,					'w'			,					encoding='utf-8'						) as fp:
						fp.write('\n'.join(lowerCamelCase_						)						)







				def 							__UpperCAmelCase					( self    :       Optional[Any]			,					**lowerCamelCase_    :       Tuple						):

					"""simple docstring"""






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







				def 							__UpperCAmelCase					( self    :       Union[str, Any]			,					**lowerCamelCase_    :       Optional[Any]						):

					"""simple docstring"""






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







				def 							__UpperCAmelCase					( self    :       Any			,					lowerCamelCase_    :       Optional[Any]						):

					"""simple docstring"""






					_lowercase :    List[str]							=							'lower newer'
					_lowercase :    Union[str, Any]							=							'lower newer'
					return input_text, output_text







				def 							__UpperCAmelCase					( self    :       List[str]						):

					"""simple docstring"""






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

					_lowercase :    Any							=							tokens + [tokenizer.unk_token]
					_lowercase :    Union[str, Any]							=							[0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_						)			,					lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Union[str, Any]						):

					"""simple docstring"""






					_lowercase :    int							=							self.get_tokenizer()

					self.assertListEqual(tokenizer.encode('Hello world!'			,					add_special_tokens=lowerCamelCase_						)			,					[0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]						)
					self.assertListEqual(
					    tokenizer.encode('Hello world! cécé herlolip 418'			,					add_special_tokens=lowerCamelCase_						)			,					[0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]			,					)







				@slow
				def 							__UpperCAmelCase					( self    :       Union[str, Any]						):

					"""simple docstring"""






					_lowercase :    Optional[Any]							=							self.tokenizer_class.from_pretrained('roberta-base'						)

					_lowercase :    Union[str, Any]							=							tokenizer.encode('sequence builders'			,					add_special_tokens=lowerCamelCase_						)
					_lowercase :    Any							=							tokenizer.encode('multi-sequence build'			,					add_special_tokens=lowerCamelCase_						)

					_lowercase :    Tuple							=							tokenizer.encode(
					    'sequence builders'			,					add_special_tokens=lowerCamelCase_			,					add_prefix_space=lowerCamelCase_						)
					_lowercase :    Dict							=							tokenizer.encode(
					    'sequence builders'			,					'multi-sequence build'			,					add_special_tokens=lowerCamelCase_			,					add_prefix_space=lowerCamelCase_						)

					_lowercase :    Any							=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase_						)
					_lowercase :    Optional[int]							=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase_			,					lowerCamelCase_						)

					assert encoded_sentence == encoded_text_from_decode
					assert encoded_pair == encoded_pair_from_decode







				def 							__UpperCAmelCase					( self    :       Tuple						):

					"""simple docstring"""






					_lowercase :    int							=							self.get_tokenizer()

					_lowercase :    str							=							'Encode this sequence.'
					_lowercase :    Any							=							tokenizer.byte_encoder[' '.encode('utf-8'						)[0]]

					# Testing encoder arguments
					_lowercase :    Any							=							tokenizer.encode(lowerCamelCase_			,					add_special_tokens=lowerCamelCase_			,					add_prefix_space=lowerCamelCase_						)
					_lowercase :    Tuple							=							tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
					self.assertNotEqual(lowerCamelCase_			,					lowerCamelCase_						)

					_lowercase :    Optional[Any]							=							tokenizer.encode(lowerCamelCase_			,					add_special_tokens=lowerCamelCase_			,					add_prefix_space=lowerCamelCase_						)
					_lowercase :    List[Any]							=							tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
					self.assertEqual(lowerCamelCase_			,					lowerCamelCase_						)

					tokenizer.add_special_tokens({'bos_token': '<s>'}						)
					_lowercase :    Optional[int]							=							tokenizer.encode(lowerCamelCase_			,					add_special_tokens=lowerCamelCase_						)
					_lowercase :    List[Any]							=							tokenizer.convert_ids_to_tokens(encoded[1]						)[0]
					self.assertNotEqual(lowerCamelCase_			,					lowerCamelCase_						)

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

					_lowercase :    Tuple							=							'Encode <mask> sequence'
					_lowercase :    Union[str, Any]							=							'Encode <mask>sequence'

					_lowercase :    Optional[int]							=							tokenizer.encode(lowerCamelCase_						)
					_lowercase :    Tuple							=							encoded.index(lowerCamelCase_						)
					_lowercase :    Union[str, Any]							=							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
					self.assertEqual(lowerCamelCase_			,					lowerCamelCase_						)

					_lowercase :    Dict							=							tokenizer.encode(lowerCamelCase_						)
					_lowercase :    Tuple							=							encoded.index(lowerCamelCase_						)
					_lowercase :    int							=							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
					self.assertNotEqual(lowerCamelCase_			,					lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       List[Any]						):

					"""simple docstring"""






					pass







				def 							__UpperCAmelCase					( self    :       str						):

					"""simple docstring"""






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

							# 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']						)			,					)

							_lowercase :    Optional[int]							=							tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']						)
							_lowercase :    Dict							=							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, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]						)
							self.assertSequenceEqual(tokens_r['input_ids']			,					[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]						)

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







				def 							__UpperCAmelCase					( self    :       str						):

					"""simple docstring"""






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

						_lowercase :    Dict							=							json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
						_lowercase :    Any							=							json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()						)

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

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







				def 							__UpperCAmelCase					( self    :       Dict						):

					"""simple docstring"""






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

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

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

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

							_lowercase :    Tuple							=							self.rust_tokenizer_class.from_pretrained(
							    lowerCamelCase_			,					use_fast=lowerCamelCase_			,					add_prefix_space=lowerCamelCase_			,					trim_offsets=lowerCamelCase_						)
							_lowercase :    int							=							tokenizer_r(lowerCamelCase_			,					return_offsets_mapping=lowerCamelCase_			,					add_special_tokens=lowerCamelCase_						)
							self.assertEqual(encoding.offset_mapping[0]			,					(0, len(lowerCamelCase_						))						)
							self.assertEqual(
							    encoding.offset_mapping[1]			,					(len(lowerCamelCase_						), len(lowerCamelCase_						) + 1 + len(lowerCamelCase_						))			,					)

							_lowercase :    Optional[int]							=							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)),
							# )

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

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

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




"""simple docstring"""







def      __lowerCAmelCase(		__UpperCAmelCase			):






	"""simple docstring"""





	stooge(__UpperCAmelCase     ,0     ,len(__UpperCAmelCase			) - 1			)
	return arr


def      __lowerCAmelCase(		__UpperCAmelCase     ,__UpperCAmelCase     ,__UpperCAmelCase			):






	"""simple docstring"""





	if i >= h:
		return

	# If first element is smaller than the last then swap them
	if arr[i] > arr[h]:
		_lowercase				,      _lowercase :    List[str]							=							arr[h], arr[i]

	# If there are more than 2 elements in the array
	if h - i + 1 > 2:
		_lowercase :    Optional[int]							=							(int)((h - i + 1) / 3			)

		# Recursively sort first 2/3 elements
		stooge(__UpperCAmelCase     ,__UpperCAmelCase     ,(h - t)			)

		# Recursively sort last 2/3 elements
		stooge(__UpperCAmelCase     ,i + t     ,(__UpperCAmelCase)			)

		# Recursively sort first 2/3 elements
		stooge(__UpperCAmelCase     ,__UpperCAmelCase     ,(h - t)			)


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



