

"""simple docstring"""



import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 					a						(       _lowerCamelCase,	unittest.TestCase				):



    """simple docstring"""



    UpperCAmelCase						 =					CodeGenTokenizer
    UpperCAmelCase						 =					CodeGenTokenizerFast
    UpperCAmelCase						 =					True
    UpperCAmelCase						 =					{"add_prefix_space": True}
    UpperCAmelCase						 =					False

    def 				UpperCamelCase	(     self: Optional[int]       ):






         """simple docstring"""


         super().setUp()

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

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

    def 				UpperCamelCase	(     self: Tuple    ,						**UpperCamelCase: Any       ):






         """simple docstring"""


         kwargs.update(self.special_tokens_map       )
         return CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						**lowercase_       )

    def 				UpperCamelCase	(     self: Tuple    ,						**UpperCamelCase: Tuple       ):






         """simple docstring"""


         kwargs.update(self.special_tokens_map       )
         return CodeGenTokenizerFast.from_pretrained(self.tmpdirname    ,						**lowercase_       )

    def 				UpperCamelCase	(     self: Any    ,						UpperCamelCase: List[str]       ):






         """simple docstring"""


         A__										=  """lower newer"""
         A__										=  """lower newer"""
         return input_text, output_text

    def 				UpperCamelCase	(     self: int       ):






         """simple docstring"""


         A__										=  CodeGenTokenizer(self.vocab_file    ,						self.merges_file    ,						**self.special_tokens_map       )
         A__										=  """lower newer"""
         A__										=  ["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
         A__										=  tokenizer.tokenize(lowercase_    ,						add_prefix_space=lowercase_       )
         self.assertListEqual(lowercase_    ,						lowercase_       )

         A__										=  tokens + [tokenizer.unk_token]
         A__										=  [14, 15, 10, 9, 3, 2, 15, 19]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_       )    ,						lowercase_       )

    def 				UpperCamelCase	(     self: List[Any]       ):






         """simple docstring"""


         if not self.test_rust_tokenizer:
              return

         A__										=  self.get_tokenizer()
         A__										=  self.get_rust_tokenizer(add_prefix_space=lowercase_       )

         A__										=  """lower newer"""

         # Testing tokenization
         A__										=  tokenizer.tokenize(lowercase_    ,						add_prefix_space=lowercase_       )
         A__										=  rust_tokenizer.tokenize(lowercase_       )
         self.assertListEqual(lowercase_    ,						lowercase_       )

         # Testing conversion to ids without special tokens
         A__										=  tokenizer.encode(lowercase_    ,						add_special_tokens=lowercase_    ,						add_prefix_space=lowercase_       )
         A__										=  rust_tokenizer.encode(lowercase_    ,						add_special_tokens=lowercase_       )
         self.assertListEqual(lowercase_    ,						lowercase_       )

         # Testing conversion to ids with special tokens
         A__										=  self.get_rust_tokenizer(add_prefix_space=lowercase_       )
         A__										=  tokenizer.encode(lowercase_    ,						add_prefix_space=lowercase_       )
         A__										=  rust_tokenizer.encode(lowercase_       )
         self.assertListEqual(lowercase_    ,						lowercase_       )

         # Testing the unknown token
         A__										=  tokens + [rust_tokenizer.unk_token]
         A__										=  [14, 15, 10, 9, 3, 2, 15, 19]
         self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowercase_       )    ,						lowercase_       )

    def 				UpperCamelCase	(     self: str    ,						*UpperCamelCase: int    ,						**UpperCamelCase: List[Any]       ):






         """simple docstring"""


         pass

    def 				UpperCamelCase	(     self: Tuple    ,						UpperCamelCase: Optional[int]=15       ):






         """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(lowercase_    ,						**lowercase_       )

                   # 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(lowercase_    ,						tokenizer_r.encode    ,						lowercase_    ,						max_length=lowercase_    ,						padding="""max_length"""       )

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

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

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

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

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

    def 				UpperCamelCase	(     self: Tuple       ):






         """simple docstring"""


         A__										=  CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						pad_token="""<pad>"""       )

         # Simple input
         A__										=  """This is a simple input"""
         A__										=  ["""This is a simple input looooooooong""", """This is a simple input"""]
         A__										=  ("""This is a simple input""", """This is a pair""")
         A__										=  [
             ("""This is a simple input loooooong""", """This is a simple input"""),
             ("""This is a simple pair loooooong""", """This is a simple pair"""),
         ]

         A__										=  tokenizer.pad_token_id

         A__										=  tokenizer(lowercase_    ,						padding="""max_length"""    ,						max_length=30    ,						return_tensors="""np"""       )
         A__										=  tokenizer(lowercase_    ,						padding=lowercase_    ,						truncate=lowercase_    ,						return_tensors="""np"""       )
         A__										=  tokenizer(*lowercase_    ,						padding="""max_length"""    ,						max_length=60    ,						return_tensors="""np"""       )
         A__										=  tokenizer(lowercase_    ,						padding=lowercase_    ,						truncate=lowercase_    ,						return_tensors="""np"""       )

         # s
         # test single string max_length padding
         self.assertEqual(out_s["""input_ids"""].shape[-1]    ,						30       )
         self.assertTrue(pad_token_id in out_s["""input_ids"""]       )
         self.assertTrue(0 in out_s["""attention_mask"""]       )

         # s2
         # test automatic padding
         self.assertEqual(out_sa["""input_ids"""].shape[-1]    ,						33       )
         # long slice doesn't have padding
         self.assertFalse(pad_token_id in out_sa["""input_ids"""][0]       )
         self.assertFalse(0 in out_sa["""attention_mask"""][0]       )
         # short slice does have padding
         self.assertTrue(pad_token_id in out_sa["""input_ids"""][1]       )
         self.assertTrue(0 in out_sa["""attention_mask"""][1]       )

         # p
         # test single pair max_length padding
         self.assertEqual(out_p["""input_ids"""].shape[-1]    ,						60       )
         self.assertTrue(pad_token_id in out_p["""input_ids"""]       )
         self.assertTrue(0 in out_p["""attention_mask"""]       )

         # p2
         # test automatic padding pair
         self.assertEqual(out_pa["""input_ids"""].shape[-1]    ,						52       )
         # long slice pair doesn't have padding
         self.assertFalse(pad_token_id in out_pa["""input_ids"""][0]       )
         self.assertFalse(0 in out_pa["""attention_mask"""][0]       )
         # short slice pair does have padding
         self.assertTrue(pad_token_id in out_pa["""input_ids"""][1]       )
         self.assertTrue(0 in out_pa["""attention_mask"""][1]       )

    def 				UpperCamelCase	(     self: Dict       ):






         """simple docstring"""


         A__										=  """$$$"""
         A__										=  CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						bos_token=lowercase_    ,						add_bos_token=lowercase_       )

         A__										=  """This is a simple input"""
         A__										=  ["""This is a simple input 1""", """This is a simple input 2"""]

         A__										=  tokenizer.bos_token_id

         A__										=  tokenizer(lowercase_       )
         A__										=  tokenizer(lowercase_       )

         self.assertEqual(out_s.input_ids[0]    ,						lowercase_       )
         self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids       )       )

         A__										=  tokenizer.decode(out_s.input_ids       )
         A__										=  tokenizer.batch_decode(out_sa.input_ids       )

         self.assertEqual(decode_s.split()[0]    ,						lowercase_       )
         self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa       )       )

    @slow
    def 				UpperCamelCase	(     self: Optional[Any]       ):






         """simple docstring"""


         A__										=  CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""       )

         A__										=  """\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
         A__										=  """\nif len_a > len_b:      result = a\nelse:      result = b"""

         A__										=  tokenizer.encode(lowercase_       )
         A__										=  ["""^#""", re.escape("""<|endoftext|>"""       ), """^'''""", """^\"\"\"""", """\n\n\n"""]
         A__										=  tokenizer.decode(lowercase_    ,						truncate_before_pattern=lowercase_       )
         self.assertEqual(lowercase_    ,						lowercase_       )





    def 				UpperCamelCase	(     self: List[str]       ):






         """simple docstring"""


         pass








"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					list			):
     if len(UpperCAmelCase_			) <= 1:
          return lst

     A__										=  1

     while i < len(UpperCAmelCase_			):
          if lst[i - 1] <= lst[i]:
               i += 1
          else:
               A__			,				A__										=  lst[i], lst[i - 1]
               i -= 1
               if i == 0:
                    A__										=  1

     return lst


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






