
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    _snake_case (						UpperCAmelCase_	,    unittest.TestCase				):
 __lowerCAmelCase	:  Dict	   =      RobertaTokenizer
 __lowerCAmelCase	:  Union[str, Any]	   =      RobertaTokenizerFast
 __lowerCAmelCase	:  Union[str, Any]	   =      True
 __lowerCAmelCase	:  int	   =      {'cls_token': '<s>'}


 def   lowercase__  (       self):


   '''simple docstring'''




   super().setUp()

   # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
   lowercase__	: Any     		=   [
       """l""",
       """o""",
       """w""",
       """e""",
       """r""",
       """s""",
       """t""",
       """i""",
       """d""",
       """n""",
       """\u0120""",
       """\u0120l""",
       """\u0120n""",
       """\u0120lo""",
       """\u0120low""",
       """er""",
       """\u0120lowest""",
       """\u0120newer""",
       """\u0120wider""",
       """<unk>""",
   ]
   lowercase__	: Any     		=   dict(zip(SCREAMING_SNAKE_CASE_       ,	range(len(SCREAMING_SNAKE_CASE_))))
   lowercase__	: int     		=   ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
   lowercase__	: Dict     		=   {"""unk_token""": """<unk>"""}

   lowercase__	: List[Any]     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""vocab_file"""])
   lowercase__	: Any     		=   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(SCREAMING_SNAKE_CASE_) + """\n""")
   with open(self.merges_file       ,	"""w"""       ,	encoding="""utf-8""") as fp:
     fp.write("""\n""".join(SCREAMING_SNAKE_CASE_))


 def   lowercase__  (       self       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




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


 def   lowercase__  (       self       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




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


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   """lower newer"""
   lowercase__	: Dict     		=   """lower newer"""
   return input_text, output_text


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   self.tokenizer_class(self.vocab_file       ,	self.merges_file       ,	**self.special_tokens_map)
   lowercase__	: Union[str, Any]     		=   """lower newer"""
   lowercase__	: Tuple     		=   ["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
   lowercase__	: Union[str, Any]     		=   tokenizer.tokenize(SCREAMING_SNAKE_CASE_)  # , add_prefix_space=True)
   self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   lowercase__	: List[Any]     		=   tokens + [tokenizer.unk_token]
   lowercase__	: int     		=   [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)       ,	SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self):


   '''simple docstring'''




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

   self.assertListEqual(tokenizer.encode("""Hello world!"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)       ,	[0, 3_14_14, 2_32, 3_28, 2])
   self.assertListEqual(
       tokenizer.encode("""Hello world! cécé herlolip 418"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)       ,	[0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]       ,	)


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   self.tokenizer_class.from_pretrained("""roberta-base""")

   lowercase__	: Tuple     		=   tokenizer.encode("""sequence builders"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
   lowercase__	: int     		=   tokenizer.encode("""multi-sequence build"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

   lowercase__	: Tuple     		=   tokenizer.encode(
       """sequence builders"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_       ,	add_prefix_space=SCREAMING_SNAKE_CASE_)
   lowercase__	: Dict     		=   tokenizer.encode(
       """sequence builders"""       ,	"""multi-sequence build"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_       ,	add_prefix_space=SCREAMING_SNAKE_CASE_)

   lowercase__	: int     		=   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_)
   lowercase__	: Optional[Any]     		=   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   assert encoded_sentence == encoded_text_from_decode
   assert encoded_pair == encoded_pair_from_decode


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: List[Any]     		=   self.get_tokenizer()

   lowercase__	: Optional[int]     		=   """Encode this sequence."""
   lowercase__	: List[Any]     		=   tokenizer.byte_encoder[""" """.encode("""utf-8""")[0]]

   # Testing encoder arguments
   lowercase__	: Union[str, Any]     		=   tokenizer.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_       ,	add_prefix_space=SCREAMING_SNAKE_CASE_)
   lowercase__	: Optional[int]     		=   tokenizer.convert_ids_to_tokens(encoded[0])[0]
   self.assertNotEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   lowercase__	: List[str]     		=   tokenizer.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_       ,	add_prefix_space=SCREAMING_SNAKE_CASE_)
   lowercase__	: Tuple     		=   tokenizer.convert_ids_to_tokens(encoded[0])[0]
   self.assertEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   tokenizer.add_special_tokens({"""bos_token""": """<s>"""})
   lowercase__	: str     		=   tokenizer.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
   lowercase__	: Union[str, Any]     		=   tokenizer.convert_ids_to_tokens(encoded[1])[0]
   self.assertNotEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   # Testing spaces after special tokens
   lowercase__	: int     		=   """<mask>"""
   tokenizer.add_special_tokens(
       {"""mask_token""": AddedToken(SCREAMING_SNAKE_CASE_       ,	lstrip=SCREAMING_SNAKE_CASE_       ,	rstrip=SCREAMING_SNAKE_CASE_)})  # mask token has a left space
   lowercase__	: Optional[int]     		=   tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)

   lowercase__	: Any     		=   """Encode <mask> sequence"""
   lowercase__	: Any     		=   """Encode <mask>sequence"""

   lowercase__	: Tuple     		=   tokenizer.encode(SCREAMING_SNAKE_CASE_)
   lowercase__	: Tuple     		=   encoded.index(SCREAMING_SNAKE_CASE_)
   lowercase__	: str     		=   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
   self.assertEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   lowercase__	: Union[str, Any]     		=   tokenizer.encode(SCREAMING_SNAKE_CASE_)
   lowercase__	: str     		=   encoded.index(SCREAMING_SNAKE_CASE_)
   lowercase__	: List[Any]     		=   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
   self.assertNotEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self):


   '''simple docstring'''




   pass


 def   lowercase__  (       self):


   '''simple docstring'''




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

       lowercase__	: str     		=   tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""])
       lowercase__	: List[Any]     		=   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_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2])
       self.assertSequenceEqual(tokens_r["""input_ids"""]       ,	[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2])

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


 def   lowercase__  (       self):


   '''simple docstring'''




   for trim_offsets, add_prefix_space in itertools.product([True, False]       ,	repeat=2):
     lowercase__	: int     		=   self.rust_tokenizer_class.from_pretrained(
         self.tmpdirname       ,	use_fast=SCREAMING_SNAKE_CASE_       ,	add_prefix_space=SCREAMING_SNAKE_CASE_       ,	trim_offsets=SCREAMING_SNAKE_CASE_)

     lowercase__	: Dict     		=   json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
     lowercase__	: str     		=   json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__())

     self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]       ,	SCREAMING_SNAKE_CASE_)

     self.assertEqual(post_processor_state["""add_prefix_space"""]       ,	SCREAMING_SNAKE_CASE_)
     self.assertEqual(post_processor_state["""trim_offsets"""]       ,	SCREAMING_SNAKE_CASE_)



 def   lowercase__  (       self):


   '''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__	: List[str]     		=   f'{text_of_1_token} {text_of_1_token}'

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

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

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

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

       lowercase__	: Dict     		=   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__	: int     		=   self.rust_tokenizer_class.from_pretrained(
           SCREAMING_SNAKE_CASE_       ,	use_fast=SCREAMING_SNAKE_CASE_       ,	add_prefix_space=SCREAMING_SNAKE_CASE_       ,	trim_offsets=SCREAMING_SNAKE_CASE_)
       lowercase__	: Union[str, Any]     		=   tokenizer_r(SCREAMING_SNAKE_CASE_       ,	return_offsets_mapping=SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
       self.assertEqual(encoding.offset_mapping[0]       ,	(1, 1 + len(SCREAMING_SNAKE_CASE_)))
       self.assertEqual(
           encoding.offset_mapping[1]       ,	(1 + len(SCREAMING_SNAKE_CASE_) + 1, 1 + len(SCREAMING_SNAKE_CASE_) + 1 + len(SCREAMING_SNAKE_CASE_))       ,	)

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

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










'''simple docstring'''







def       lowercase					(_A       ):







       """simple docstring"""







       _lowerCAmelCase     :				Union[str, Any]       =							len(_A       )
       for i in range(length - 1       ):
              _lowerCAmelCase     :				List[Any]       =							i
              for k in range(i + 1 ,    _A       ):
                     if collection[k] < collection[least]:
                            _lowerCAmelCase     :				List[str]       =							k
              if least != i:
                     _lowerCAmelCase      ,  _lowerCAmelCase     :				Union[str, Any]       =							(collection[i], collection[least])
       return collection


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

