

'''simple docstring'''



import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class lowerCamelCase			(  lowercase_	,						unittest.TestCase						):



   '''simple docstring'''






   __snake_case        =	GPTaTokenizer
   __snake_case        =	GPTaTokenizerFast
   __snake_case        =	True
   __snake_case        =	{'add_prefix_space': True}
   __snake_case        =	False


   def lowercase__						(				self	:						Optional[Any]			)      ->		List[str]:





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

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

         A__					:       Union[str, Any]     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]			)
         A__					:       List[str]     =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 lowercase__						(				self	:						Any		,      **lowerCAmelCase_	:						Any			)      ->		str:





         '''simple docstring'''
         kwargs.update(self.special_tokens_map			)
         return GPTaTokenizer.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


   def lowercase__						(				self	:						Optional[Any]		,      **lowerCAmelCase_	:						str			)      ->		Dict:





         '''simple docstring'''
         kwargs.update(self.special_tokens_map			)
         return GPTaTokenizerFast.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


   def lowercase__						(				self	:						List[str]		,      lowerCAmelCase_	:						Tuple			)      ->		Any:





         '''simple docstring'''
         A__					:       Any     ="""lower newer"""
         A__					:       int     ="""lower newer"""
         return input_text, output_text


   def lowercase__						(				self	:						Tuple			)      ->		int:





         '''simple docstring'''
         A__					:       List[Any]     =GPTaTokenizer(self.vocab_file		,      self.merges_file		,      **self.special_tokens_map			)
         A__					:       Optional[int]     ="""lower newer"""
         A__					:       str     =["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
         A__					:       List[Any]     =tokenizer.tokenize(lowerCAmelCase_		,      add_prefix_space=lowerCAmelCase_			)
         self.assertListEqual(lowerCAmelCase_		,      lowerCAmelCase_			)

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


   def lowercase__						(				self	:						List[str]			)      ->		Tuple:





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

         A__					:       int     =self.get_tokenizer()
         A__					:       Optional[int]     =self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_			)

         A__					:       int     ="""lower newer"""

         # Testing tokenization
         A__					:       str     =tokenizer.tokenize(lowerCAmelCase_		,      add_prefix_space=lowerCAmelCase_			)
         A__					:       int     =rust_tokenizer.tokenize(lowerCAmelCase_			)
         self.assertListEqual(lowerCAmelCase_		,      lowerCAmelCase_			)

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

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

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


   def lowercase__						(				self	:						List[Any]		,      *lowerCAmelCase_	:						int		,      **lowerCAmelCase_	:						str			)      ->		List[str]:





         '''simple docstring'''
         pass


   def lowercase__						(				self	:						Optional[Any]		,      lowerCAmelCase_	:						int=15			)      ->		List[str]:





         '''simple docstring'''
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"			):
                     A__					:       Union[str, Any]     =self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_		,      **lowerCAmelCase_			)

                     # Simple input
                     A__					:       Optional[Any]     ="""This is a simple input"""
                     A__					:       Any     =["""This is a simple input 1""", """This is a simple input 2"""]
                     A__					:       List[str]     =("""This is a simple input""", """This is a pair""")
                     A__					:       Any     =[
                         ("""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 lowercase__						(				self	:						Optional[Any]			)      ->		Any:





         '''simple docstring'''
         A__					:       List[str]     =GPTaTokenizer.from_pretrained(self.tmpdirname		,      pad_token="""<pad>"""			)

         # Simple input
         A__					:       Any     ="""This is a simple input"""
         A__					:       Optional[Any]     =["""This is a simple input looooooooong""", """This is a simple input"""]
         A__					:       Tuple     =("""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__					:       Tuple     =tokenizer.pad_token_id

         A__					:       Any     =tokenizer(lowerCAmelCase_		,      padding="""max_length"""		,      max_length=30		,      return_tensors="""np"""			)
         A__					:       Tuple     =tokenizer(lowerCAmelCase_		,      padding=lowerCAmelCase_		,      truncate=lowerCAmelCase_		,      return_tensors="""np"""			)
         A__					:       str     =tokenizer(*lowerCAmelCase_		,      padding="""max_length"""		,      max_length=60		,      return_tensors="""np"""			)
         A__					:       List[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 lowercase__						(				self	:						Any			)      ->		Optional[Any]:





         '''simple docstring'''
         A__					:       int     ="""$$$"""
         A__					:       Union[str, Any]     =GPTaTokenizer.from_pretrained(self.tmpdirname		,      bos_token=lowerCAmelCase_		,      add_bos_token=lowerCAmelCase_			)

         A__					:       Optional[Any]     ="""This is a simple input"""
         A__					:       Tuple     =["""This is a simple input 1""", """This is a simple input 2"""]

         A__					:       Tuple     =tokenizer.bos_token_id

         A__					:       Tuple     =tokenizer(lowerCAmelCase_			)
         A__					:       str     =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__					:       Tuple     =tokenizer.decode(out_s.input_ids			)
         A__					:       List[Any]     =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			)			)


   def lowercase__						(				self	:						Optional[Any]			)      ->		str:





         '''simple docstring'''
         pass



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





         '''simple docstring'''
         A__					:       Any     =[self.get_tokenizer(do_lower_case=lowerCAmelCase_		,      add_bos_token=lowerCAmelCase_			)]
         for tokenizer in tokenizers:
               with self.subTest(f"{tokenizer.__class__.__name__}"			):
                     A__					:       str     ="""Encode this."""
                     A__					:       Any     ="""This one too please."""
                     A__					:       Union[str, Any]     =tokenizer.encode(lowerCAmelCase_		,      add_special_tokens=lowerCAmelCase_			)
                     encoded_sequence += tokenizer.encode(lowerCAmelCase_		,      add_special_tokens=lowerCAmelCase_			)
                     A__					:       int     =tokenizer.encode_plus(
                         lowerCAmelCase_		,      lowerCAmelCase_		,      add_special_tokens=lowerCAmelCase_		,      return_special_tokens_mask=lowerCAmelCase_		,      )
                     A__					:       Dict     =encoded_sequence_dict["""input_ids"""]
                     A__					:       List[Any]     =encoded_sequence_dict["""special_tokens_mask"""]
                     self.assertEqual(len(lowerCAmelCase_			)		,      len(lowerCAmelCase_			)			)

                     A__					:       int     =[
                         (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowerCAmelCase_			)
                     ]
                     A__					:       List[str]     =[x for x in filtered_sequence if x is not None]
                     self.assertEqual(lowerCAmelCase_		,      lowerCAmelCase_			)



@require_tokenizers
class lowerCamelCase			(  unittest.TestCase						):



   '''simple docstring'''






   def lowercase__						(				self	:						int			)      ->		int:





         '''simple docstring'''
         A__					:       Optional[Any]     =AutoTokenizer.from_pretrained("""facebook/opt-350m"""		,      from_slow=lowerCAmelCase_			)
         A__					:       Tuple     ="""A photo of a cat"""

         A__					:       int     =tokenizer.encode(
             lowerCAmelCase_		,      )
         self.assertEqual(lowerCAmelCase_		,      [2, 2_50, 13_45, 9, 10, 47_58]			)
         tokenizer.save_pretrained("""test_opt"""			)

         A__					:       List[str]     =AutoTokenizer.from_pretrained("""./test_opt"""			)
         A__					:       Union[str, Any]     =tokenizer.encode(
             lowerCAmelCase_		,      )
         self.assertEqual(lowerCAmelCase_		,      [2, 2_50, 13_45, 9, 10, 47_58]			)


   def lowercase__						(				self	:						Optional[Any]			)      ->		Tuple:





         '''simple docstring'''
         A__					:       Tuple     =AutoTokenizer.from_pretrained("""facebook/opt-350m"""		,      use_slow=lowerCAmelCase_			)
         A__					:       str     ="""A photo of a cat"""

         A__					:       Tuple     =tokenizer.encode(
             lowerCAmelCase_		,      )
         # Same as above
         self.assertEqual(lowerCAmelCase_		,      [2, 2_50, 13_45, 9, 10, 47_58]			)



   @unittest.skip("""This test is failing because of a bug in the fast tokenizer"""			)
   def lowercase__						(				self	:						List[Any]			)      ->		Union[str, Any]:





         '''simple docstring'''
         A__					:       Any     =AutoTokenizer.from_pretrained("""facebook/opt-350m"""		,      from_slow=lowerCAmelCase_			)

         A__					:       Optional[Any]     ="""bos"""
         A__					:       Any     =tokenizer.get_vocab()["""bos"""]

         A__					:       List[str]     ="""A photo of a cat"""
         A__					:       List[str]     =tokenizer.encode(
             lowerCAmelCase_		,      )
         # We changed the bos token
         self.assertEqual(lowerCAmelCase_		,      [3_19_57, 2_50, 13_45, 9, 10, 47_58]			)
         tokenizer.save_pretrained("""./tok"""			)
         A__					:       List[Any]     =AutoTokenizer.from_pretrained("""./tok"""			)
         self.assertTrue(tokenizer.is_fast			)
         A__					:       Tuple     =tokenizer.encode(
             lowerCAmelCase_		,      )
         self.assertEqual(lowerCAmelCase_		,      [3_19_57, 2_50, 13_45, 9, 10, 47_58]			)




'''simple docstring'''



from __future__ import annotations
def 						__lowerCamelCase	(       __snake_case					:		list[int]	)	->							bool:






						"""simple docstring"""





						return len(set(__snake_case	)	) == len(__snake_case	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()

