


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 A  (   UpperCamelCase_    ,							unittest.TestCase     ):
      UpperCamelCase__							:  Tuple      =GPTaTokenizer
      UpperCamelCase__							:  Any      =GPTaTokenizerFast
      UpperCamelCase__							:  List[Any]      =True
      UpperCamelCase__							:  int      ={'add_prefix_space': True}
      UpperCamelCase__							:  List[Any]      =False






      def        lowerCamelCase       (					self						:     Dict )					->						str:
             """simple docstring"""




             super().setUp()

             # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
             _lowerCamelCase       :		Any		=[
                 'l',
                 'o',
                 'w',
                 'e',
                 'r',
                 's',
                 't',
                 'i',
                 'd',
                 'n',
                 '\u0120',
                 '\u0120l',
                 '\u0120n',
                 '\u0120lo',
                 '\u0120low',
                 'er',
                 '\u0120lowest',
                 '\u0120newer',
                 '\u0120wider',
                 '<unk>',
                 '<|endoftext|>',
             ]
             _lowerCamelCase       :		List[Any]		=dict(zip(lowercase_			,   range(len(lowercase_ ) ) ) )
             _lowerCamelCase       :		Tuple		=['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
             _lowerCamelCase       :		Union[str, Any]		={'unk_token': '<unk>'}

             _lowerCamelCase       :		Tuple		=os.path.join(self.tmpdirname			,   VOCAB_FILES_NAMES['vocab_file'] )
             _lowerCamelCase       :		int		=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        lowerCamelCase       (					self						:     Tuple			,   **lowercase_						:     Optional[int] )					->						Tuple:
             """simple docstring"""




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






      def        lowerCamelCase       (					self						:     List[str]			,   **lowercase_						:     List[str] )					->						Any:
             """simple docstring"""




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






      def        lowerCamelCase       (					self						:     Any			,   lowercase_						:     Any )					->						List[Any]:
             """simple docstring"""




             _lowerCamelCase       :		str		='lower newer'
             _lowerCamelCase       :		List[Any]		='lower newer'
             return input_text, output_text






      def        lowerCamelCase       (					self						:     Union[str, Any] )					->						int:
             """simple docstring"""




             _lowerCamelCase       :		Any		=GPTaTokenizer(self.vocab_file			,   self.merges_file			,   **self.special_tokens_map )
             _lowerCamelCase       :		List[Any]		='lower newer'
             _lowerCamelCase       :		Dict		=['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
             _lowerCamelCase       :		Optional[Any]		=tokenizer.tokenize(lowercase_			,   add_prefix_space=lowercase_ )
             self.assertListEqual(lowercase_			,   lowercase_ )

             _lowerCamelCase       :		List[str]		=tokens + [tokenizer.unk_token]
             _lowerCamelCase       :		Tuple		=[14, 15, 10, 9, 3, 2, 15, 19]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_ )			,   lowercase_ )






      def        lowerCamelCase       (					self						:     Any )					->						List[str]:
             """simple docstring"""




             if not self.test_rust_tokenizer:
                    return

             _lowerCamelCase       :		List[str]		=self.get_tokenizer()
             _lowerCamelCase       :		int		=self.get_rust_tokenizer(add_prefix_space=lowercase_ )

             _lowerCamelCase       :		str		='lower newer'

             # Testing tokenization
             _lowerCamelCase       :		Optional[Any]		=tokenizer.tokenize(lowercase_			,   add_prefix_space=lowercase_ )
             _lowerCamelCase       :		Tuple		=rust_tokenizer.tokenize(lowercase_ )
             self.assertListEqual(lowercase_			,   lowercase_ )

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

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

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






      def        lowerCamelCase       (					self						:     Optional[Any]			,   *lowercase_						:     Any			,   **lowercase_						:     str )					->						str:
             """simple docstring"""




             pass






      def        lowerCamelCase       (					self						:     List[Any]			,   lowercase_						:     Tuple=15 )					->						List[Any]:
             """simple docstring"""




             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
                           _lowerCamelCase       :		List[Any]		=self.rust_tokenizer_class.from_pretrained(lowercase_			,   **lowercase_ )

                           # Simple input
                           _lowerCamelCase       :		Optional[Any]		='This is a simple input'
                           _lowerCamelCase       :		Dict		=['This is a simple input 1', 'This is a simple input 2']
                           _lowerCamelCase       :		Optional[Any]		=('This is a simple input', 'This is a pair')
                           _lowerCamelCase       :		Tuple		=[
                               ('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        lowerCamelCase       (					self						:     List[Any] )					->						int:
             """simple docstring"""




             _lowerCamelCase       :		Optional[int]		=GPTaTokenizer.from_pretrained(self.tmpdirname			,   pad_token='<pad>' )

             # Simple input
             _lowerCamelCase       :		List[str]		='This is a simple input'
             _lowerCamelCase       :		str		=['This is a simple input looooooooong', 'This is a simple input']
             _lowerCamelCase       :		Tuple		=('This is a simple input', 'This is a pair')
             _lowerCamelCase       :		Dict		=[
                 ('This is a simple input loooooong', 'This is a simple input'),
                 ('This is a simple pair loooooong', 'This is a simple pair'),
             ]

             _lowerCamelCase       :		Tuple		=tokenizer.pad_token_id

             _lowerCamelCase       :		Tuple		=tokenizer(lowercase_			,   padding='max_length'			,   max_length=30			,   return_tensors='np' )
             _lowerCamelCase       :		Tuple		=tokenizer(lowercase_			,   padding=lowercase_			,   truncate=lowercase_			,   return_tensors='np' )
             _lowerCamelCase       :		List[str]		=tokenizer(*lowercase_			,   padding='max_length'			,   max_length=60			,   return_tensors='np' )
             _lowerCamelCase       :		Any		=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        lowerCamelCase       (					self						:     Optional[int] )					->						int:
             """simple docstring"""




             _lowerCamelCase       :		str		='$$$'
             _lowerCamelCase       :		List[str]		=GPTaTokenizer.from_pretrained(self.tmpdirname			,   bos_token=lowercase_			,   add_bos_token=lowercase_ )

             _lowerCamelCase       :		Tuple		='This is a simple input'
             _lowerCamelCase       :		int		=['This is a simple input 1', 'This is a simple input 2']

             _lowerCamelCase       :		Any		=tokenizer.bos_token_id

             _lowerCamelCase       :		int		=tokenizer(lowercase_ )
             _lowerCamelCase       :		List[Any]		=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 ) )

             _lowerCamelCase       :		Optional[int]		=tokenizer.decode(out_s.input_ids )
             _lowerCamelCase       :		str		=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 ) )






      def        lowerCamelCase       (					self						:     Optional[Any] )					->						Optional[Any]:
             """simple docstring"""




             pass






      def        lowerCamelCase       (					self						:     Dict )					->						Union[str, Any]:
             """simple docstring"""




             _lowerCamelCase       :		Dict		=[self.get_tokenizer(do_lower_case=lowercase_			,   add_bos_token=lowercase_ )]
             for tokenizer in tokenizers:
                    with self.subTest(F'''{tokenizer.__class__.__name__}''' ):
                           _lowerCamelCase       :		Optional[int]		='Encode this.'
                           _lowerCamelCase       :		Optional[int]		='This one too please.'
                           _lowerCamelCase       :		Tuple		=tokenizer.encode(lowercase_			,   add_special_tokens=lowercase_ )
                           encoded_sequence += tokenizer.encode(lowercase_			,   add_special_tokens=lowercase_ )
                           _lowerCamelCase       :		Union[str, Any]		=tokenizer.encode_plus(
                               lowercase_			,   lowercase_			,   add_special_tokens=lowercase_			,   return_special_tokens_mask=lowercase_			,   )
                           _lowerCamelCase       :		Any		=encoded_sequence_dict['input_ids']
                           _lowerCamelCase       :		Tuple		=encoded_sequence_dict['special_tokens_mask']
                           self.assertEqual(len(lowercase_ )			,   len(lowercase_ ) )

                           _lowerCamelCase       :		Optional[int]		=[
                               (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowercase_ )
                           ]
                           _lowerCamelCase       :		Union[str, Any]		=[x for x in filtered_sequence if x is not None]
                           self.assertEqual(lowercase_			,   lowercase_ )




@require_tokenizers
class A  (   unittest.TestCase     ):






      def        lowerCamelCase       (					self						:     Any )					->						Union[str, Any]:
             """simple docstring"""




             _lowerCamelCase       :		Optional[int]		=AutoTokenizer.from_pretrained('facebook/opt-350m'			,   from_slow=lowercase_ )
             _lowerCamelCase       :		Optional[Any]		='A photo of a cat'

             _lowerCamelCase       :		Tuple		=tokenizer.encode(
                 lowercase_			,   )
             self.assertEqual(lowercase_			,   [2, 250, 1345, 9, 10, 4758] )
             tokenizer.save_pretrained('test_opt' )

             _lowerCamelCase       :		Optional[Any]		=AutoTokenizer.from_pretrained('./test_opt' )
             _lowerCamelCase       :		Optional[Any]		=tokenizer.encode(
                 lowercase_			,   )
             self.assertEqual(lowercase_			,   [2, 250, 1345, 9, 10, 4758] )






      def        lowerCamelCase       (					self						:     str )					->						int:
             """simple docstring"""




             _lowerCamelCase       :		str		=AutoTokenizer.from_pretrained('facebook/opt-350m'			,   use_slow=lowercase_ )
             _lowerCamelCase       :		str		='A photo of a cat'

             _lowerCamelCase       :		Optional[Any]		=tokenizer.encode(
                 lowercase_			,   )
             # Same as above
             self.assertEqual(lowercase_			,   [2, 250, 1345, 9, 10, 4758] )






      @unittest.skip('This test is failing because of a bug in the fast tokenizer' )
      def        lowerCamelCase       (					self						:     str )					->						str:
             """simple docstring"""




             _lowerCamelCase       :		Dict		=AutoTokenizer.from_pretrained('facebook/opt-350m'			,   from_slow=lowercase_ )

             _lowerCamelCase       :		Optional[Any]		='bos'
             _lowerCamelCase       :		Union[str, Any]		=tokenizer.get_vocab()['bos']

             _lowerCamelCase       :		str		='A photo of a cat'
             _lowerCamelCase       :		Tuple		=tokenizer.encode(
                 lowercase_			,   )
             # We changed the bos token
             self.assertEqual(lowercase_			,   [3_1957, 250, 1345, 9, 10, 4758] )
             tokenizer.save_pretrained('./tok' )
             _lowerCamelCase       :		Optional[Any]		=AutoTokenizer.from_pretrained('./tok' )
             self.assertTrue(tokenizer.is_fast )
             _lowerCamelCase       :		Any		=tokenizer.encode(
                 lowercase_			,   )
             self.assertEqual(lowercase_			,   [3_1957, 250, 1345, 9, 10, 4758] )






import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

lowerCamelCase											=       'python tqdm regex requests packaging filelock numpy tokenizers'.split()
if sys.version_info < (3, 7):
 pkgs_to_check_at_runtime.append('dataclasses')
if sys.version_info < (3, 8):
 pkgs_to_check_at_runtime.append('importlib_metadata')

for pkg in pkgs_to_check_at_runtime:
 if pkg in deps:
  if pkg == "tokenizers":
   # must be loaded here, or else tqdm check may fail
   from .utils import is_tokenizers_available

   if not is_tokenizers_available():
    continue  # not required, check version only if installed

  require_version_core(deps[pkg])
 else:
  raise ValueError(F"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")




def 	a_      (    SCREAMING_SNAKE_CASE__					:      int		,			SCREAMING_SNAKE_CASE__					:      str=None     ):
       '''simple docstring'''





       require_version(deps[pkg]		,			SCREAMING_SNAKE_CASE__     )


