


'''simple docstring'''






import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
		__UpperCAmelCase       							=				'''pt'''
elif is_tf_available():
		__UpperCAmelCase       							=				'''tf'''
else:
		__UpperCAmelCase       							=				'''jax'''




class 						a__							(				a__							,							unittest.TestCase    ):





							'''simple docstring'''






							lowercase__     :  List[Any]      		= ByTaTokenizer
							lowercase__     :  Optional[Any]      		= False







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Dict:
														super().setUp()
														lowerCAmelCase__			  =      ByTaTokenizer()
														tokenizer.save_pretrained(self.tmpdirname  )







							@cached_property
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														return ByTaTokenizer.from_pretrained('''google/byt5-small'''  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       **lowerCamelCase_  )			->				ByTaTokenizer:
														return self.tokenizer_class.from_pretrained(self.tmpdirname   ,       **lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_=False   ,       lowerCamelCase_=20   ,       lowerCamelCase_=5  )			->				Tuple[str, list]:
														# XXX The default common tokenizer tests assume that every ID is decodable on its own.
														# This assumption is invalid for ByT5 because single bytes might not be
														# valid utf-8 (byte 128 for instance).
														# Here we're overriding the smallest possible method to provide
														# a clean sequence without making the same assumption.

														lowerCAmelCase__			  =      []
														for i in range(len(lowerCamelCase_  )  ):
																					try:
																												lowerCAmelCase__			  =      tokenizer.decode([i]   ,       clean_up_tokenization_spaces=lowerCamelCase_  )
																					except UnicodeDecodeError:
																												pass
																					toks.append((i, tok)  )

														lowerCAmelCase__			  =      list(filter(lambda lowerCamelCase_  : re.match(r'''^[ a-zA-Z]+$'''   ,       t[1]  )   ,       lowerCamelCase_  )  )
														lowerCAmelCase__			  =      list(filter(lambda lowerCamelCase_  : [t[0]] == tokenizer.encode(t[1]   ,       add_special_tokens=lowerCamelCase_  )   ,       lowerCamelCase_  )  )
														if max_length is not None and len(lowerCamelCase_  ) > max_length:
																					lowerCAmelCase__			  =      toks[:max_length]
														if min_length is not None and len(lowerCamelCase_  ) < min_length and len(lowerCamelCase_  ) > 0:
																					while len(lowerCamelCase_  ) < min_length:
																												lowerCAmelCase__			  =      toks + toks
        # toks_str = [t[1] for t in toks]
														lowerCAmelCase__			  =      [t[0] for t in toks]

														# Ensure consistency
														lowerCAmelCase__			  =      tokenizer.decode(lowerCamelCase_   ,       clean_up_tokenization_spaces=lowerCamelCase_  )
														if " " not in output_txt and len(lowerCamelCase_  ) > 1:
																					lowerCAmelCase__			  =      (
																					    tokenizer.decode([toks_ids[0]]   ,       clean_up_tokenization_spaces=lowerCamelCase_  )
																					    + ''' '''
																					    + tokenizer.decode(toks_ids[1:]   ,       clean_up_tokenization_spaces=lowerCamelCase_  )
																					)
														if with_prefix_space:
																					lowerCAmelCase__			  =      ''' ''' + output_txt
														lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
														return output_txt, output_ids







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Union[str, Any]:
														lowerCAmelCase__			  =      self.ta_base_tokenizer
														lowerCAmelCase__			  =      tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>''']  )
														lowerCAmelCase__			  =      tokenizer(['''hi''', '''I went to the gym''', '''''']  )
														self.assertListEqual(batch_with_eos_added['''input_ids''']   ,       batch_without_eos_added['''input_ids''']  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														lowerCAmelCase__			  =      self.ta_base_tokenizer
														lowerCAmelCase__			  =      '''Unicode €.'''
														lowerCAmelCase__			  =      tokenizer(lowerCamelCase_  )
														lowerCAmelCase__			  =      [88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
														self.assertEqual(encoded['''input_ids''']   ,       lowerCamelCase_  )

														# decoding
														lowerCAmelCase__			  =      tokenizer.decode(lowerCamelCase_  )
														self.assertEqual(lowerCamelCase_   ,       '''Unicode €.</s>'''  )

														lowerCAmelCase__			  =      tokenizer('''e è é ê ë'''  )
														lowerCAmelCase__			  =      [1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
														self.assertEqual(encoded['''input_ids''']   ,       lowerCamelCase_  )
														# decoding
														lowerCAmelCase__			  =      tokenizer.decode(lowerCamelCase_  )
														self.assertEqual(lowerCamelCase_   ,       '''e è é ê ë</s>'''  )

														# encode/decode, but with `encode` instead of `__call__`
														self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''  )  )   ,       '''e è é ê ë</s>'''  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														lowerCAmelCase__			  =      self.ta_base_tokenizer
														lowerCAmelCase__			  =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
														# fmt: off
														lowerCAmelCase__			  =      [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
														# fmt: on
														lowerCAmelCase__			  =      tokenizer(lowerCamelCase_   ,       padding=lowerCamelCase_   ,       return_tensors=lowerCamelCase_  )
														self.assertIsInstance(lowerCamelCase_   ,       lowerCamelCase_  )

														if FRAMEWORK != "jax":
																					lowerCAmelCase__			  =      list(batch.input_ids.numpy()[0]  )
														else:
																					lowerCAmelCase__			  =      list(batch.input_ids.tolist()[0]  )

														self.assertListEqual(lowerCamelCase_   ,       lowerCamelCase_  )

														self.assertEqual((2, 37)   ,       batch.input_ids.shape  )
														self.assertEqual((2, 37)   ,       batch.attention_mask.shape  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														lowerCAmelCase__			  =      self.ta_base_tokenizer
														lowerCAmelCase__			  =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
														lowerCAmelCase__			  =      tokenizer(lowerCamelCase_   ,       padding=lowerCamelCase_   ,       return_tensors=lowerCamelCase_  )
														# check if input_ids are returned and no decoder_input_ids
														self.assertIn('''input_ids'''   ,       lowerCamelCase_  )
														self.assertIn('''attention_mask'''   ,       lowerCamelCase_  )
														self.assertNotIn('''decoder_input_ids'''   ,       lowerCamelCase_  )
														self.assertNotIn('''decoder_attention_mask'''   ,       lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[Any]:
														lowerCAmelCase__			  =      self.ta_base_tokenizer
														lowerCAmelCase__			  =      [
														    '''Summary of the text.''',
														    '''Another summary.''',
														]
														lowerCAmelCase__			  =      tokenizer(
														    text_target=lowerCamelCase_   ,       max_length=32   ,       padding='''max_length'''   ,       truncation=lowerCamelCase_   ,       return_tensors=lowerCamelCase_  )
														self.assertEqual(32   ,       targets['''input_ids'''].shape[1]  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Any:
														lowerCAmelCase__			  =      self.ta_base_tokenizer
														lowerCAmelCase__			  =      ['''A long paragraph for summarization. </s>''']
														lowerCAmelCase__			  =      ['''Summary of the text. </s>''']
														# fmt: off
														lowerCAmelCase__			  =      [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
														lowerCAmelCase__			  =      [86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
														# fmt: on

														lowerCAmelCase__			  =      tokenizer(lowerCamelCase_   ,       text_target=lowerCamelCase_  )

														self.assertEqual(lowerCamelCase_   ,       batch['''input_ids'''][0]  )
														self.assertEqual(lowerCamelCase_   ,       batch['''labels'''][0]  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				str:
														# safety check on max_len default value so we are sure the test works
														lowerCAmelCase__			  =      self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
																												self.assertNotEqual(tokenizer.model_max_length   ,       42  )

        # Now let's start the test
														lowerCAmelCase__			  =      self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
																												# Isolate this from the other tests because we save additional tokens/etc
																												lowerCAmelCase__			  =      tempfile.mkdtemp()

																												lowerCAmelCase__			  =      ''' He is very happy, UNwant\u00E9d,running'''
																												lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												tokenizer.save_pretrained(lowerCamelCase_  )

																												lowerCAmelCase__			  =      tokenizer.__class__.from_pretrained(lowerCamelCase_  )
																												lowerCAmelCase__			  =      after_tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertListEqual(lowerCamelCase_   ,       lowerCamelCase_  )

																												shutil.rmtree(lowerCamelCase_  )

														lowerCAmelCase__			  =      self.get_tokenizers(model_max_length=42  )
														for tokenizer in tokenizers:
																					with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
																												# Isolate this from the other tests because we save additional tokens/etc
																												lowerCAmelCase__			  =      tempfile.mkdtemp()

																												lowerCAmelCase__			  =      ''' He is very happy, UNwant\u00E9d,running'''
																												tokenizer.add_tokens(['''bim''', '''bambam''']  )
																												lowerCAmelCase__			  =      tokenizer.additional_special_tokens
																												additional_special_tokens.append('''new_additional_special_token'''  )
																												tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}  )
																												lowerCAmelCase__			  =      tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												tokenizer.save_pretrained(lowerCamelCase_  )

																												lowerCAmelCase__			  =      tokenizer.__class__.from_pretrained(lowerCamelCase_  )
																												lowerCAmelCase__			  =      after_tokenizer.encode(lowerCamelCase_   ,       add_special_tokens=lowerCamelCase_  )
																												self.assertListEqual(lowerCamelCase_   ,       lowerCamelCase_  )
																												self.assertIn('''new_additional_special_token'''   ,       after_tokenizer.additional_special_tokens  )
																												self.assertEqual(after_tokenizer.model_max_length   ,       42  )

																												lowerCAmelCase__			  =      tokenizer.__class__.from_pretrained(lowerCamelCase_   ,       model_max_length=43  )
																												self.assertEqual(tokenizer.model_max_length   ,       43  )

																												shutil.rmtree(lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				int:
														lowerCAmelCase__			  =      []
														if self.test_slow_tokenizer:
																					tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

														if self.test_rust_tokenizer:
																					tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

														for tokenizer_class, tokenizer_utils in tokenizer_list:
																					with tempfile.TemporaryDirectory() as tmp_dir:
																												tokenizer_utils.save_pretrained(lowerCamelCase_  )

																												with open(os.path.join(lowerCamelCase_   ,       '''special_tokens_map.json'''  )   ,       encoding='''utf-8'''  ) as json_file:
																																			lowerCAmelCase__			  =      json.load(lowerCamelCase_  )

																												with open(os.path.join(lowerCamelCase_   ,       '''tokenizer_config.json'''  )   ,       encoding='''utf-8'''  ) as json_file:
																																			lowerCAmelCase__			  =      json.load(lowerCamelCase_  )

																												lowerCAmelCase__			  =      [F"""<extra_id_{i}>""" for i in range(1_25  )]

																												lowerCAmelCase__			  =      added_tokens_extra_ids + [
																												    '''an_additional_special_token'''
																												]
																												lowerCAmelCase__			  =      added_tokens_extra_ids + [
																												    '''an_additional_special_token'''
																												]

																												with open(os.path.join(lowerCamelCase_   ,       '''special_tokens_map.json'''  )   ,       '''w'''   ,       encoding='''utf-8'''  ) as outfile:
																																			json.dump(lowerCamelCase_   ,       lowerCamelCase_  )
																												with open(os.path.join(lowerCamelCase_   ,       '''tokenizer_config.json'''  )   ,       '''w'''   ,       encoding='''utf-8'''  ) as outfile:
																																			json.dump(lowerCamelCase_   ,       lowerCamelCase_  )

																												# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																												# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																												# "special_tokens_map.json" files
																												lowerCAmelCase__			  =      tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       )
																												self.assertIn(
																												    '''an_additional_special_token'''   ,       tokenizer_without_change_in_init.additional_special_tokens  )
																												# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
																												self.assertEqual(
																												    ['''an_additional_special_token''']   ,       tokenizer_without_change_in_init.convert_ids_to_tokens(
																												        tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']  )  )   ,       )

																												# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																												lowerCAmelCase__			  =      added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''   ,       lstrip=lowerCamelCase_  )]
																												lowerCAmelCase__			  =      tokenizer_class.from_pretrained(
																												    lowerCamelCase_   ,       additional_special_tokens=lowerCamelCase_   ,       )

																												self.assertIn('''a_new_additional_special_token'''   ,       tokenizer.additional_special_tokens  )
																												self.assertEqual(
																												    ['''a_new_additional_special_token''']   ,       tokenizer.convert_ids_to_tokens(
																												        tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']  )  )   ,       )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Dict:
														lowerCAmelCase__			  =      []
														if self.test_slow_tokenizer:
																					tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())  )

														if self.test_rust_tokenizer:
																					tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())  )

														for tokenizer_class, tokenizer_utils in tokenizer_list:
																					with tempfile.TemporaryDirectory() as tmp_dir:
																												tokenizer_utils.save_pretrained(lowerCamelCase_  )

																												lowerCAmelCase__			  =      tokenizer_class.from_pretrained(lowerCamelCase_  )

																												self.assertTrue(tokenizer.decode([2_55]  ) == ''''''  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Tuple:
														pass







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[int]:
														pass







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[Any]:
														pass







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														pass







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														# The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
														# and special added tokens as tokens
														lowerCAmelCase__			  =      self.get_tokenizers(fast=lowerCamelCase_   ,       do_lower_case=lowerCamelCase_  )
														for tokenizer in tokenizers:
																					with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
																												lowerCAmelCase__			  =      ['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
																												lowerCAmelCase__			  =      tokenizer.convert_tokens_to_string(lowerCamelCase_  )

																												self.assertIsInstance(lowerCamelCase_   ,       lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Any:
														lowerCAmelCase__			  =      self.get_tokenizers()
														for tokenizer in tokenizers:
																					with self.subTest(F"""{tokenizer.__class__.__name__}"""  ):
																												lowerCAmelCase__			  =      [
																												    '''bos_token''',
																												    '''eos_token''',
																												    '''unk_token''',
																												    '''sep_token''',
																												    '''pad_token''',
																												    '''cls_token''',
																												    '''mask_token''',
																												]

																												lowerCAmelCase__			  =      0
																												lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(
																												    lowerCamelCase_   ,       skip_special_tokens=lowerCamelCase_  )

																												for attr in attributes_list:
																																			setattr(lowerCamelCase_   ,       attr + '''_id'''   ,       lowerCamelCase_  )
																																			self.assertEqual(getattr(lowerCamelCase_   ,       lowerCamelCase_  )   ,       lowerCamelCase_  )
																																			self.assertEqual(getattr(lowerCamelCase_   ,       attr + '''_id'''  )   ,       lowerCamelCase_  )

																																			setattr(lowerCamelCase_   ,       attr + '''_id'''   ,       lowerCamelCase_  )
																																			self.assertEqual(getattr(lowerCamelCase_   ,       lowerCamelCase_  )   ,       lowerCamelCase_  )
																																			self.assertEqual(getattr(lowerCamelCase_   ,       attr + '''_id'''  )   ,       lowerCamelCase_  )

																												setattr(lowerCamelCase_   ,       '''additional_special_tokens_ids'''   ,       []  )
																												self.assertListEqual(getattr(lowerCamelCase_   ,       '''additional_special_tokens'''  )   ,       []  )
																												self.assertListEqual(getattr(lowerCamelCase_   ,       '''additional_special_tokens_ids'''  )   ,       []  )

																												setattr(lowerCamelCase_   ,       '''additional_special_tokens_ids'''   ,       [token_id_to_test_setters]  )
																												self.assertListEqual(getattr(lowerCamelCase_   ,       '''additional_special_tokens'''  )   ,       [token_to_test_setters]  )
																												self.assertListEqual(getattr(lowerCamelCase_   ,       '''additional_special_tokens_ids'''  )   ,       [token_id_to_test_setters]  )


def 		UpperCamelCase   (lowercase_:					list   )	-> list:
	A__				:       Union[str, Any]	  =						False
	while is_sorted is False:  # Until all the indices are traversed keep looping
		A__				:       Dict	  =						True
		for i in range(0       , len(lowercase_   ) - 1       , 2   ):  # iterating over all even indices
			if input_list[i] > input_list[i + 1]:
				A__  ,  A__				:       Dict	  =						input_list[i + 1], input_list[i]
				# swapping if elements not in order
				A__				:       Optional[Any]	  =						False

		for i in range(1       , len(lowercase_   ) - 1       , 2   ):  # iterating over all odd indices
			if input_list[i] > input_list[i + 1]:
				A__  ,  A__				:       Dict	  =						input_list[i + 1], input_list[i]
				# swapping if elements not in order
				A__				:       Optional[Any]	  =						False
	return input_list


if __name__ == "__main__":
	print('Enter list to be sorted')
	A_			:					Optional[int]    			=     [int(x) for x in input().split()]
	# inputing elements of the list in one line
	A_			:					Optional[int]    			=     odd_even_sort(input_list)
	print('The sorted list is')
	print(sorted_list)



