

import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase_			      =      get_tests_dir('''fixtures/test_sentencepiece.model''')





@require_sentencepiece
class       snake_case_  (						__A      ,			unittest.TestCase   ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE	:  Union[str, Any]		     =							XLMProphetNetTokenizer
			SCREAMING_SNAKE_CASE	:  Optional[Any]		     =							False
			SCREAMING_SNAKE_CASE	:  Optional[int]		     =							True







			def 							snake_case__(	self					:							int				) ->Any:
									super().setUp()

									# We have a SentencePiece fixture for testing
									snake_case_  =      XLMProphetNetTokenizer(_UpperCamelCase				,  keep_accents=_UpperCamelCase				)
									tokenizer.save_pretrained(self.tmpdirname				)







			def 							snake_case__(	self					:							Dict				) ->int:
									snake_case_  =      '''[PAD]'''
									snake_case_  =      0

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCamelCase				)				,  _UpperCamelCase				)
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCamelCase				)				,  _UpperCamelCase				)







			def 							snake_case__(	self					:							Union[str, Any]				) ->List[Any]:
									snake_case_  =      list(self.get_tokenizer().get_vocab().keys()				)

									self.assertEqual(vocab_keys[0]				,  '''[PAD]'''				)
									self.assertEqual(vocab_keys[1]				,  '''[CLS]'''				)
									self.assertEqual(vocab_keys[-1]				,  '''j'''				)
									self.assertEqual(len(_UpperCamelCase				)				,  1_0_1_2				)







			def 							snake_case__(	self					:							Tuple				) ->List[str]:
									self.assertEqual(self.get_tokenizer().vocab_size				,  1_0_1_2				)







			def 							snake_case__(	self					:							Optional[int]				) ->Optional[Any]:
									snake_case_  =      XLMProphetNetTokenizer(_UpperCamelCase				,  keep_accents=_UpperCamelCase				)

									snake_case_  =      tokenizer.tokenize('''This is a test'''				)
									self.assertListEqual(_UpperCamelCase				,  ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']				)

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(_UpperCamelCase				)				,  [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]				,  )

									snake_case_  =      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''				)
									self.assertListEqual(
									    _UpperCamelCase				,  [
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''9''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''é''',
									        '''.''',
									    ]				,  )
									snake_case_  =      tokenizer.convert_tokens_to_ids(_UpperCamelCase				)
									self.assertListEqual(
									    _UpperCamelCase				,  [
									        value + tokenizer.fairseq_offset
									        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, -9, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, -9, 4]
									    ]				,  )

									snake_case_  =      tokenizer.convert_ids_to_tokens(_UpperCamelCase				)
									self.assertListEqual(
									    _UpperCamelCase				,  [
									        SPIECE_UNDERLINE + '''I''',
									        SPIECE_UNDERLINE + '''was''',
									        SPIECE_UNDERLINE + '''b''',
									        '''or''',
									        '''n''',
									        SPIECE_UNDERLINE + '''in''',
									        SPIECE_UNDERLINE + '''''',
									        '''[UNK]''',
									        '''2''',
									        '''0''',
									        '''0''',
									        '''0''',
									        ''',''',
									        SPIECE_UNDERLINE + '''and''',
									        SPIECE_UNDERLINE + '''this''',
									        SPIECE_UNDERLINE + '''is''',
									        SPIECE_UNDERLINE + '''f''',
									        '''al''',
									        '''s''',
									        '''[UNK]''',
									        '''.''',
									    ]				,  )







			@cached_property
			def 							snake_case__(	self					:							int				) ->Dict:
									return XLMProphetNetTokenizer.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased'''				)







			@slow
			def 							snake_case__(	self					:							Optional[int]				) ->int:
									snake_case_  =      '''Hello World!'''
									snake_case_  =      [3_5_3_8_9, 6_6_7_2, 4_9, 2]
									self.assertListEqual(_UpperCamelCase				,  self.big_tokenizer.encode(_UpperCamelCase				)				)







			@slow
			def 							snake_case__(	self					:							str				) ->List[Any]:
									# fmt: off
									snake_case_  =      {'''input_ids''': [[1_1_0_7_3, 8_2_7_8_3, 1_8, 2_6, 8_2_7_8_3, 5_4_9, 5_1_5_4_0, 2_4_8, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 2_1_5_1_8_6, 1_3_2_5, 1_4_7, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 5_6_3_7_0, 5_3, 1_2_2_0_2_0, 2_0, 1_6_4_7_7, 2_7, 8_7_3_5_5, 4_5_4_8, 2_0, 4_7_2_8, 7_8_3_9_2, 1_7, 1_5_9_9_6_9, 1_8, 2_6, 2_4_4_9_1, 6_2_9, 1_5, 5_3_8, 2_2_7_0_4, 5_4_3_9, 1_5, 2_7_8_8, 2_4_4_9_1, 9_8_8_5, 1_5, 4_3_5_3_4, 6_0_5, 1_5, 8_1_4, 1_8_4_0_3, 3_3_2_0_0, 2_9, 1_5, 4_3_5_3_4, 2_4_4_5_8, 1_2_4_1_0, 1_1_1, 2_4_9_6_6, 8_3_6_6_9, 9_6_3_7, 1_4_4_0_6_8, 2_6, 8_5_0, 2_2_3_4_6, 2_7, 1_4_7, 2_4_9_6_6, 8_3_6_6_9, 8_3_4_9_0, 2_6, 3_9_1_1_3, 7_3_5, 2_7, 6_8_9, 6_5_6, 2_8_0_0, 1_3_3_9, 4_6_0_0, 5_3, 1_2_2_0_2_0, 1_1_5_7_8_5, 3_4, 8_1_6, 1_3_3_9, 4_6_8_8_7, 1_8, 1_4_7, 5_3_9_0_5, 1_9_5_1, 4_2_2_3_8, 4_1_1_7_0, 1_7_7_3_2, 8_3_4, 4_3_6, 1_5, 2_7_5_2_3, 9_8_7_3_3, 2_1_7, 1_4_7, 5_5_4_2, 4_9_8_1, 9_3_0, 1_7_3_4_7, 1_6, 2], [2_0_0_9_1, 6_2_9, 9_4, 8_2_7_8_6, 5_8, 4_9_0, 2_0, 1_5_2_8, 8_4, 5_3_9_0_5, 3_4_4, 8_0_5_9_2, 1_1_0_1_2_8, 1_8_8_2_2, 5_2_6_7, 1_3_0_6, 6_2, 1_5_2_5_3_7, 3_0_8, 7_9_9_7, 4_0_1, 1_2_4_4_2_7, 5_4_9, 3_5_4_4_2, 2_2_5, 1_0_9, 1_5_0_5_5, 2_5_7_4_8, 1_4_7, 7_1_1_9, 4_3_7_1_2, 3_4, 7_6_7, 1_3_5_3_6_6, 1_8, 1_6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_9_2, 6_3_7_8_4, 1_1_9_4_6_6, 1_7, 1_4_7_8_0_8, 8_8_2_1_4, 1_8, 6_5_6, 8_1, 3_2, 3_2_9_6, 1_0_2_8_0, 1_6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=_UpperCamelCase				,  model_name='''microsoft/xprophetnet-large-wiki100-cased'''				,  revision='''1acad1643ddd54a44df6a1b797ada8373685d90e'''				,  )

"""simple docstring"""





def 				A_  (__a					):

					'''simple docstring'''





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


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




