





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	):




   """simple docstring"""



   __A   :				str         =  GPTaTokenizer
   __A   :				Optional[Any]         =  GPTaTokenizerFast
   __A   :				Union[str, Any]         =  True
   __A   :				int         =  {'''add_prefix_space''': True}
   __A   :				Optional[int]         =  False

   def 							__lowercase		(					self)			->						List[str]:







          '''simple docstring'''

          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          a__						:	Dict =				[
              'l',
              'o',
              'w',
              'e',
              'r',
              's',
              't',
              'i',
              'd',
              'n',
              '\u0120',
              '\u0120l',
              '\u0120n',
              '\u0120lo',
              '\u0120low',
              'er',
              '\u0120lowest',
              '\u0120newer',
              '\u0120wider',
              '<unk>',
              '<|endoftext|>',
          ]
          a__						:	List[str] =				dict(zip(lowercase					,  range(len(lowercase))))
          a__						:	List[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__						:	List[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(lowercase) + '\n')
          with open(self.merges_file					,  'w'					,  encoding='utf-8') as fp:
                 fp.write('\n'.join(lowercase))

   def 							__lowercase		(					self					,  **lowercase)			->						str:







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  **lowercase)			->						Optional[int]:







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  lowercase)			->						Dict:







          '''simple docstring'''

          a__						:	Dict =				'lower newer'
          a__						:	str =				'lower newer'
          return input_text, output_text

   def 							__lowercase		(					self)			->						List[str]:







          '''simple docstring'''

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

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

   def 							__lowercase		(					self)			->						Optional[int]:







          '''simple docstring'''

          if not self.test_rust_tokenizer:
                 return

          a__						:	Optional[int] =				self.get_tokenizer()
          a__						:	Optional[Any] =				self.get_rust_tokenizer(add_prefix_space=lowercase)

          a__						:	Optional[Any] =				'lower newer'

          # Testing tokenization
          a__						:	Any =				tokenizer.tokenize(lowercase					,  add_prefix_space=lowercase)
          a__						:	Optional[Any] =				rust_tokenizer.tokenize(lowercase)
          self.assertListEqual(lowercase					,  lowercase)

          # Testing conversion to ids without special tokens
          a__						:	int =				tokenizer.encode(lowercase					,  add_special_tokens=lowercase					,  add_prefix_space=lowercase)
          a__						:	Tuple =				rust_tokenizer.encode(lowercase					,  add_special_tokens=lowercase)
          self.assertListEqual(lowercase					,  lowercase)

          # Testing conversion to ids with special tokens
          a__						:	List[str] =				self.get_rust_tokenizer(add_prefix_space=lowercase)
          a__						:	int =				tokenizer.encode(lowercase					,  add_prefix_space=lowercase)
          a__						:	List[Any] =				rust_tokenizer.encode(lowercase)
          self.assertListEqual(lowercase					,  lowercase)

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

   def 							__lowercase		(					self					,  *lowercase					,  **lowercase)			->						List[str]:







          '''simple docstring'''

          pass

   def 							__lowercase		(					self					,  lowercase=15)			->						int:







          '''simple docstring'''

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

                        # Simple input
                        a__						:	Union[str, Any] =				'This is a simple input'
                        a__						:	Optional[Any] =				['This is a simple input 1', 'This is a simple input 2']
                        a__						:	int =				('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(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 							__lowercase		(					self)			->						Optional[int]:







          '''simple docstring'''

          a__						:	Tuple =				GPTaTokenizer.from_pretrained(self.tmpdirname					,  pad_token='<pad>')

          # Simple input
          a__						:	Tuple =				'This is a simple input'
          a__						:	Optional[Any] =				['This is a simple input looooooooong', 'This is a simple input']
          a__						:	Any =				('This is a simple input', 'This is a pair')
          a__						:	List[Any] =				[
              ('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__						:	Dict =				tokenizer(lowercase					,  padding='max_length'					,  max_length=30					,  return_tensors='np')
          a__						:	str =				tokenizer(lowercase					,  padding=lowercase					,  truncate=lowercase					,  return_tensors='np')
          a__						:	str =				tokenizer(*lowercase					,  padding='max_length'					,  max_length=60					,  return_tensors='np')
          a__						:	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 							__lowercase		(					self)			->						Dict:







          '''simple docstring'''

          a__						:	Any =				'$$$'
          a__						:	int =				GPTaTokenizer.from_pretrained(self.tmpdirname					,  bos_token=lowercase					,  add_bos_token=lowercase)

          a__						:	List[Any] =				'This is a simple input'
          a__						:	List[Any] =				['This is a simple input 1', 'This is a simple input 2']

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

          a__						:	List[str] =				tokenizer(lowercase)
          a__						:	Union[str, 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))

          a__						:	str =				tokenizer.decode(out_s.input_ids)
          a__						:	Optional[Any] =				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 							__lowercase		(					self)			->						Optional[Any]:







          '''simple docstring'''

          pass

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







          '''simple docstring'''

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

                        a__						:	Optional[Any] =				[
                            (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowercase)
                        ]
                        a__						:	Tuple =				[x for x in filtered_sequence if x is not None]
                        self.assertEqual(lowercase					,  lowercase)





@require_tokenizers
class  A__    (							unittest.TestCase	):




   """simple docstring"""



   def 							__lowercase		(					self)			->						Dict:







          '''simple docstring'''

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

          a__						:	List[Any] =				tokenizer.encode(
              lowercase					,  )
          self.assertEqual(lowercase					,  [2, 250, 1345, 9, 10, 4758])
          tokenizer.save_pretrained('test_opt')

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

   def 							__lowercase		(					self)			->						int:







          '''simple docstring'''

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

          a__						:	Tuple =				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 							__lowercase		(					self)			->						Union[str, Any]:







          '''simple docstring'''

          a__						:	List[str] =				AutoTokenizer.from_pretrained('facebook/opt-350m'					,  from_slow=lowercase)

          a__						:	Tuple =				'bos'
          a__						:	Tuple =				tokenizer.get_vocab()['bos']

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









from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
    from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline


