

'''simple docstring'''







# Function to print upper half of diamond (pyramid)
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     Union[str, Any]:
       for i in range(0,    UpperCAmelCase__			):
              for _ in range(0,    n - i - 1			):  # printing spaces
                     print(""" """,    end=""""""			)
              for _ in range(0,    i + 1			):  # printing stars
                     print("""* """,    end=""""""			)
              print()
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     List[str]:
       for i in range(UpperCAmelCase__,    0,    -1			):
              for _ in range(UpperCAmelCase__,    0,    -1			):  # printing stars
                     print("""* """,    end=""""""			)
              print()
              for _ in range(n - i + 1,    0,    -1			):  # printing spaces
                     print(""" """,    end=""""""			)
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     Union[str, Any]:
       if n <= 0:
              print("""       ...       ....        nothing printing :("""			)
              return
       floyd(UpperCAmelCase__			)  # upper half
       reverse_floyd(UpperCAmelCase__			)  # lower half


if __name__ == "__main__":
      print(r'''| /\ | |- |  |-  |--| |\  /| |-''')
      print(r'''|/  \| |- |_ |_  |__| | \/ | |_''')
      __lowerCamelCase						    =      1
      while K:
            __lowerCamelCase						    =      int(input('''enter the number and , and see the magic : '''))
            print()
            pretty_print(user_number)
            __lowerCamelCase						    =      int(input('''press 0 to exit... and 1 to continue...'''))

      print('''Good Bye...''')



'''simple docstring'''







import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


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


@require_sentencepiece
@require_tokenizers
class    A__ ( _snake_case  ,  unittest.TestCase     ):
    lowercase		   =						ReformerTokenizer
    lowercase		   =						ReformerTokenizerFast
    lowercase		   =						True
    lowercase		   =						False
    lowercase		   =						True



    def    snake_case_     (   self    )  -> str:





           '''simple docstring'''
           super().setUp()

           A_		   = ReformerTokenizer(UpperCamelCase__						,			keep_accents=UpperCamelCase__    )
           tokenizer.save_pretrained(self.tmpdirname    )



    def    snake_case_     (   self    )  -> Union[str, Any]:





           '''simple docstring'''
           A_		   = """<s>"""
           A_		   = 1

           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    )  -> Tuple:





           '''simple docstring'''
           A_		   = list(self.get_tokenizer().get_vocab().keys()    )

           self.assertEqual(vocab_keys[0]						,			"""<unk>"""    )
           self.assertEqual(vocab_keys[1]						,			"""<s>"""    )
           self.assertEqual(vocab_keys[-1]						,			"""j"""    )
           self.assertEqual(len(UpperCamelCase__    )						,			1000    )



    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           self.assertEqual(self.get_tokenizer().vocab_size						,			1000    )



    def    snake_case_     (   self    )  -> Union[str, Any]:





           '''simple docstring'''
           if not self.test_rust_tokenizer:
                  return

           A_		   = self.get_tokenizer()
           A_		   = self.get_rust_tokenizer()

           A_		   = """I was born in 92000, and this is falsé."""

           A_		   = tokenizer.tokenize(UpperCamelCase__    )
           A_		   = rust_tokenizer.tokenize(UpperCamelCase__    )
           self.assertListEqual(UpperCamelCase__						,			UpperCamelCase__    )

           A_		   = tokenizer.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )
           A_		   = rust_tokenizer.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )
           self.assertListEqual(UpperCamelCase__						,			UpperCamelCase__    )

           A_		   = self.get_rust_tokenizer()
           A_		   = tokenizer.encode(UpperCamelCase__    )
           A_		   = rust_tokenizer.encode(UpperCamelCase__    )
           self.assertListEqual(UpperCamelCase__						,			UpperCamelCase__    )



    def    snake_case_     (   self						,			UpperCamelCase__=15    )  -> int:





           '''simple docstring'''
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                         A_		   = self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,			**UpperCamelCase__    )

                         # Simple input
                         A_		   = """This is a simple input"""
                         A_		   = ["""This is a simple input 1""", """This is a simple input 2"""]
                         A_		   = ("""This is a simple input""", """This is a pair""")
                         A_		   = [
                             ("""This is a simple input 1""", """This is a simple input 2"""),
                             ("""This is a simple pair 1""", """This is a simple pair 2"""),
                         ]

                         # Simple input tests
                         self.assertRaises(UpperCamelCase__						,			tokenizer_r.encode						,			UpperCamelCase__						,			max_length=UpperCamelCase__						,			padding="""max_length"""    )

                         # Simple input
                         self.assertRaises(UpperCamelCase__						,			tokenizer_r.encode_plus						,			UpperCamelCase__						,			max_length=UpperCamelCase__						,			padding="""max_length"""    )

                         # Simple input
                         self.assertRaises(
                             UpperCamelCase__						,			tokenizer_r.batch_encode_plus						,			UpperCamelCase__						,			max_length=UpperCamelCase__						,			padding="""max_length"""						,			)

                         # Pair input
                         self.assertRaises(UpperCamelCase__						,			tokenizer_r.encode						,			UpperCamelCase__						,			max_length=UpperCamelCase__						,			padding="""max_length"""    )

                         # Pair input
                         self.assertRaises(UpperCamelCase__						,			tokenizer_r.encode_plus						,			UpperCamelCase__						,			max_length=UpperCamelCase__						,			padding="""max_length"""    )

                         # Pair input
                         self.assertRaises(
                             UpperCamelCase__						,			tokenizer_r.batch_encode_plus						,			UpperCamelCase__						,			max_length=UpperCamelCase__						,			padding="""max_length"""						,			)



    def    snake_case_     (   self    )  -> Optional[Any]:





           '''simple docstring'''
           pass



    def    snake_case_     (   self    )  -> Union[str, Any]:





           '''simple docstring'''
           A_		   = ReformerTokenizer(UpperCamelCase__						,			keep_accents=UpperCamelCase__    )

           A_		   = tokenizer.tokenize("""This is a test"""    )
           self.assertListEqual(UpperCamelCase__						,			["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]    )

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(UpperCamelCase__    )						,			[285, 46, 10, 170, 382]						,			)

           A_		   = 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""",
                   """.""",
               ]						,			)
           A_		   = tokenizer.convert_tokens_to_ids(UpperCamelCase__    )
           self.assertListEqual(
               UpperCamelCase__						,			[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]						,			)

           A_		   = 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    )  -> Optional[int]:





           '''simple docstring'''
           return ReformerTokenizer.from_pretrained("""google/reformer-crime-and-punishment"""    )



    @slow
    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           A_		   = """Hello World!"""
           A_		   = [126, 32, 262, 152, 38, 72, 287]

           self.assertListEqual(UpperCamelCase__						,			self.big_tokenizer.encode(UpperCamelCase__    )    )



    @slow
    def    snake_case_     (   self    )  -> Any:





           '''simple docstring'''
           A_		   = (
               """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
               """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
           )
           A_		   = [
               108,
               265,
               24,
               111,
               4,
               258,
               156,
               35,
               28,
               275,
               3,
               259,
               297,
               260,
               84,
               4,
               35,
               110,
               44,
               8,
               259,
               91,
               268,
               21,
               11,
               209,
               274,
               109,
               266,
               277,
               117,
               86,
               93,
               315,
               258,
               278,
               258,
               277,
               258,
               0,
               258,
               288,
               258,
               319,
               258,
               0,
               258,
               0,
               258,
               0,
               258,
               0,
               258,
               287,
               258,
               315,
               258,
               289,
               258,
               278,
               99,
               269,
               266,
               262,
               8,
               259,
               241,
               4,
               217,
               230,
               268,
               266,
               55,
               168,
               106,
               75,
               193,
               266,
               223,
               27,
               49,
               26,
               282,
               25,
               264,
               299,
               19,
               26,
               0,
               258,
               277,
               117,
               86,
               93,
               176,
               183,
               270,
               11,
               262,
               42,
               61,
               265,
           ]

           self.assertListEqual(UpperCamelCase__						,			self.big_tokenizer.encode(UpperCamelCase__    )    )



    @require_torch
    @slow
    def    snake_case_     (   self    )  -> str:





           '''simple docstring'''
           import torch

           from transformers import ReformerConfig, ReformerModel

           # Build sequence
           A_		   = list(self.big_tokenizer.get_vocab().keys()    )[:10]
           A_		   = """ """.join(UpperCamelCase__    )
           A_		   = self.big_tokenizer.encode_plus(UpperCamelCase__						,			return_tensors="""pt"""    )
           A_		   = self.big_tokenizer.batch_encode_plus([sequence, sequence]						,			return_tensors="""pt"""    )

           A_		   = ReformerConfig()
           # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
           A_		   = encoded_sequence["""input_ids"""].shape
           A_		   = ReformerModel(UpperCamelCase__    )

           # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
           assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

           with torch.no_grad():
                  model(**UpperCamelCase__    )
                  model(**UpperCamelCase__    )







    @slow
    def    snake_case_     (   self    )  -> Optional[int]:





           '''simple docstring'''
           # fmt: off
           A_		   = {"""input_ids""": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], """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]]}  # noqa: E501
           # fmt: on

           # This tokenizer does not know some characters like ")".
           # That is the reason why we use very simple texts here.
           # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
           A_		   = [
               """This is a very simple sentence.""",
               """The quick brown fox jumps over the lazy dog.""",
           ]

           self.tokenizer_integration_test_util(
               expected_encoding=UpperCamelCase__						,			model_name="""google/reformer-crime-and-punishment"""						,			revision="""0e6c3decb8211d49bf881013425dc8b0448b3f5a"""						,			padding=UpperCamelCase__						,			sequences=UpperCamelCase__						,			)
