
'''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  _UpperCAmelCase ( lowerCAmelCase__	,unittest.TestCase    ):

     """simple docstring"""

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


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       super().setUp()

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

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


     def 							_lowerCAmelCase  (      self							,		**lowerCAmelCase_ ):

       '''simple docstring'''

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


     def 							_lowerCAmelCase  (      self							,		**lowerCAmelCase_ ):

       '''simple docstring'''

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


     def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_ ):

       '''simple docstring'''

       a_      :	str      =							"""lower newer"""
       a_      :	str      =							"""lower newer"""
       return input_text, output_text


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	Any      =							CodeGenTokenizer(self.vocab_file							,		self.merges_file							,		**self.special_tokens_map )
       a_      :	Dict      =							"""lower newer"""
       a_      :	Optional[int]      =							["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
       a_      :	Any      =							tokenizer.tokenize(lowerCAmelCase_							,		add_prefix_space=lowerCAmelCase_ )
       self.assertListEqual(lowerCAmelCase_							,		lowerCAmelCase_ )

       a_      :	Optional[Any]      =							tokens + [tokenizer.unk_token]
       a_      :	Any      =							[14, 15, 10, 9, 3, 2, 15, 19]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_ )							,		lowerCAmelCase_ )


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       if not self.test_rust_tokenizer:
         return

       a_      :	Optional[int]      =							self.get_tokenizer()
       a_      :	List[Any]      =							self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_ )

       a_      :	Tuple      =							"""lower newer"""

       # Testing tokenization
       a_      :	List[Any]      =							tokenizer.tokenize(lowerCAmelCase_							,		add_prefix_space=lowerCAmelCase_ )
       a_      :	Dict      =							rust_tokenizer.tokenize(lowerCAmelCase_ )
       self.assertListEqual(lowerCAmelCase_							,		lowerCAmelCase_ )

       # Testing conversion to ids without special tokens
       a_      :	Union[str, Any]      =							tokenizer.encode(lowerCAmelCase_							,		add_special_tokens=lowerCAmelCase_							,		add_prefix_space=lowerCAmelCase_ )
       a_      :	List[str]      =							rust_tokenizer.encode(lowerCAmelCase_							,		add_special_tokens=lowerCAmelCase_ )
       self.assertListEqual(lowerCAmelCase_							,		lowerCAmelCase_ )

       # Testing conversion to ids with special tokens
       a_      :	Dict      =							self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_ )
       a_      :	Optional[int]      =							tokenizer.encode(lowerCAmelCase_							,		add_prefix_space=lowerCAmelCase_ )
       a_      :	Dict      =							rust_tokenizer.encode(lowerCAmelCase_ )
       self.assertListEqual(lowerCAmelCase_							,		lowerCAmelCase_ )

       # Testing the unknown token
       a_      :	List[str]      =							tokens + [rust_tokenizer.unk_token]
       a_      :	str      =							[14, 15, 10, 9, 3, 2, 15, 19]
       self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowerCAmelCase_ )							,		lowerCAmelCase_ )


     def 							_lowerCAmelCase  (      self							,		*lowerCAmelCase_							,		**lowerCAmelCase_ ):

       '''simple docstring'''

       pass


     def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_=15 ):

       '''simple docstring'''

       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
           a_      :	List[str]      =							self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_							,		**lowerCAmelCase_ )

           # Simple input
           a_      :	List[Any]      =							"""This is a simple input"""
           a_      :	Union[str, Any]      =							["""This is a simple input 1""", """This is a simple input 2"""]
           a_      :	List[Any]      =							("""This is a simple input""", """This is a pair""")
           a_      :	int      =							[
               ("""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(lowerCAmelCase_							,		tokenizer_r.encode							,		lowerCAmelCase_							,		max_length=lowerCAmelCase_							,		padding="""max_length""" )

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

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

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

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

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


     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	Dict      =							CodeGenTokenizer.from_pretrained(self.tmpdirname							,		pad_token="""<pad>""" )

       # Simple input
       a_      :	Optional[int]      =							"""This is a simple input"""
       a_      :	Union[str, Any]      =							["""This is a simple input looooooooong""", """This is a simple input"""]
       a_      :	List[str]      =							("""This is a simple input""", """This is a pair""")
       a_      :	int      =							[
           ("""This is a simple input loooooong""", """This is a simple input"""),
           ("""This is a simple pair loooooong""", """This is a simple pair"""),
       ]

       a_      :	Optional[int]      =							tokenizer.pad_token_id

       a_      :	Optional[int]      =							tokenizer(lowerCAmelCase_							,		padding="""max_length"""							,		max_length=30							,		return_tensors="""np""" )
       a_      :	str      =							tokenizer(lowerCAmelCase_							,		padding=lowerCAmelCase_							,		truncate=lowerCAmelCase_							,		return_tensors="""np""" )
       a_      :	List[Any]      =							tokenizer(*lowerCAmelCase_							,		padding="""max_length"""							,		max_length=60							,		return_tensors="""np""" )
       a_      :	str      =							tokenizer(lowerCAmelCase_							,		padding=lowerCAmelCase_							,		truncate=lowerCAmelCase_							,		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 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	Any      =							"""$$$"""
       a_      :	Optional[Any]      =							CodeGenTokenizer.from_pretrained(self.tmpdirname							,		bos_token=lowerCAmelCase_							,		add_bos_token=lowerCAmelCase_ )

       a_      :	Any      =							"""This is a simple input"""
       a_      :	Optional[int]      =							["""This is a simple input 1""", """This is a simple input 2"""]

       a_      :	Union[str, Any]      =							tokenizer.bos_token_id

       a_      :	int      =							tokenizer(lowerCAmelCase_ )
       a_      :	Union[str, Any]      =							tokenizer(lowerCAmelCase_ )

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

       a_      :	Optional[Any]      =							tokenizer.decode(out_s.input_ids )
       a_      :	Dict      =							tokenizer.batch_decode(out_sa.input_ids )

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


     @slow
     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       a_      :	List[Any]      =							CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono""" )

       a_      :	Union[str, Any]      =							"""\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
       a_      :	Tuple      =							"""\nif len_a > len_b:      result = a\nelse:      result = b"""

       a_      :	int      =							tokenizer.encode(lowerCAmelCase_ )
       a_      :	Any      =							["""^#""", re.escape("""<|endoftext|>""" ), """^'''""", """^\"\"\"""", """\n\n\n"""]
       a_      :	Union[str, Any]      =							tokenizer.decode(lowerCAmelCase_							,		truncate_before_pattern=lowerCAmelCase_ )
       self.assertEqual(lowerCAmelCase_							,		lowerCAmelCase_ )






     def 							_lowerCAmelCase  (      self ):

       '''simple docstring'''

       pass




'''simple docstring'''

def 	_snake_case						(      A_       :    list   ):
  """simple docstring"""







  if len(A_   ) <= 1:
    return lst

  a_      :	Any      =							1

  while i < len(A_   ):
    if lst[i - 1] <= lst[i]:
      i += 1
    else:
      a_      , a_      :	int      =							lst[i], lst[i - 1]
      i -= 1
      if i == 0:
        a_      :	List[str]      =							1

  return lst


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


