"""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        __snake_case	(					__lowerCAmelCase	,				unittest.TestCase    ):
      a__				=		GPTaTokenizer
      a__				=		GPTaTokenizerFast
      a__				=		True
      a__				=		{"""add_prefix_space""": True}
      a__				=		False



      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        super().setUp()

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

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



      def   lowerCamelCase_       (						self   ,      **lowercase)     ->      Tuple:





        '''simple docstring'''





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



      def   lowerCamelCase_       (						self   ,      **lowercase)     ->      Dict:





        '''simple docstring'''





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



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





        '''simple docstring'''





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



      def   lowerCamelCase_       (						self)     ->      Dict:





        '''simple docstring'''





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

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



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





        '''simple docstring'''





        if not self.test_rust_tokenizer:
          return

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

        a__:					Tuple      							=     'lower newer'

        # Testing tokenization
        a__:					List[str]      							=     tokenizer.tokenize(lowercase   ,      add_prefix_space=lowercase)
        a__:					Tuple      							=     rust_tokenizer.tokenize(lowercase)
        self.assertListEqual(lowercase   ,      lowercase)

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

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

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



      def   lowerCamelCase_       (						self   ,      *lowercase   ,      **lowercase)     ->      Optional[Any]:





        '''simple docstring'''





        pass



      def   lowerCamelCase_       (						self   ,      lowercase=15)     ->      Dict:





        '''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(lowercase   ,      **lowercase)

            # Simple input
            a__:					List[str]      							=     'This is a simple input'
            a__:					Optional[int]      							=     ['This is a simple input 1', 'This is a simple input 2']
            a__:					Optional[int]      							=     ('This is a simple input', 'This is a pair')
            a__:					List[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(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]:





        '''simple docstring'''





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

        # Simple input
        a__:					Union[str, 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__:					List[Any]      							=     tokenizer.pad_token_id

        a__:					Any      							=     tokenizer(lowercase   ,      padding='max_length'   ,      max_length=30   ,      return_tensors='np')
        a__:					Union[str, Any]      							=     tokenizer(lowercase   ,      padding=lowercase   ,      truncate=lowercase   ,      return_tensors='np')
        a__:					Optional[Any]      							=     tokenizer(*lowercase   ,      padding='max_length'   ,      max_length=60   ,      return_tensors='np')
        a__:					Dict      							=     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)     ->      List[str]:





        '''simple docstring'''





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

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

        a__:					Any      							=     tokenizer.bos_token_id

        a__:					int      							=     tokenizer(lowercase)
        a__:					str      							=     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__:					Dict      							=     tokenizer.decode(out_s.input_ids)
        a__:					int      							=     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)     ->      List[Any]:





        '''simple docstring'''





        pass



      def   lowerCamelCase_       (						self)     ->      List[Any]:





        '''simple docstring'''





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

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







@require_tokenizers
class        __snake_case	(					unittest.TestCase    ):



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





        '''simple docstring'''





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

        a__:					Union[str, Any]      							=     tokenizer.encode(
            lowercase   ,      )
        self.assertEqual(lowercase   ,      [2, 2_50, 13_45, 9, 10, 47_58])
        tokenizer.save_pretrained('test_opt')

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



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





        '''simple docstring'''





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

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



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





        '''simple docstring'''





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

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

        a__:					Tuple      							=     'A photo of a cat'
        a__:					Dict      							=     tokenizer.encode(
            lowercase   ,      )
        # We changed the bos token
        self.assertEqual(lowercase   ,      [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__:					Optional[int]      							=     tokenizer.encode(
            lowercase   ,      )
        self.assertEqual(lowercase   ,      [3_19_57, 2_50, 13_45, 9, 10, 47_58])



"""simple docstring"""
import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
 import jax

 from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
 from transformers.models.bert.modeling_flax_bert import FlaxBertModel
 from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel




@require_flax
class        __snake_case	(					unittest.TestCase    ):



      @slow
      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        for model_name in ["bert-base-cased", "bert-large-uncased"]:
          with self.subTest(lowercase):
            a__:					Optional[Any]      							=     AutoConfig.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)

            a__:					Any      							=     FlaxAutoModel.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)



      @slow
      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        for model_name in ["roberta-base", "roberta-large"]:
          with self.subTest(lowercase):
            a__:					str      							=     AutoConfig.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)

            a__:					Any      							=     FlaxAutoModel.from_pretrained(lowercase)
            self.assertIsNotNone(lowercase)
            self.assertIsInstance(lowercase   ,      lowercase)



      @slow
      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        for model_name in ["bert-base-cased", "bert-large-uncased"]:
          a__:					Dict      							=     AutoTokenizer.from_pretrained(lowercase)
          a__:					Union[str, Any]      							=     FlaxBertModel.from_pretrained(lowercase)
          a__:					List[str]      							=     tokenizer('Do you support jax jitted function?'   ,      return_tensors=TensorType.JAX)

          @jax.jit
          def eval(**lowercase):
            return model(**lowercase)

          eval(**lowercase).block_until_ready()



      @slow
      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        for model_name in ["roberta-base", "roberta-large"]:
          a__:					Optional[Any]      							=     AutoTokenizer.from_pretrained(lowercase)
          a__:					Any      							=     FlaxRobertaModel.from_pretrained(lowercase)
          a__:					int      							=     tokenizer('Do you support jax jitted function?'   ,      return_tensors=TensorType.JAX)

          @jax.jit
          def eval(**lowercase):
            return model(**lowercase)

          eval(**lowercase).block_until_ready()



      def   lowerCamelCase_       (						self)     ->      Any:





        '''simple docstring'''





        with self.assertRaisesRegex(
            lowercase   ,      'bert-base is not a local folder and is not a valid model identifier'):
          a__:					str      							=     FlaxAutoModel.from_pretrained('bert-base')



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





        '''simple docstring'''





        with self.assertRaisesRegex(
            lowercase   ,      r'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'):
          a__:					List[str]      							=     FlaxAutoModel.from_pretrained(lowercase   ,      revision='aaaaaa')



      def   lowerCamelCase_       (						self)     ->      Tuple:





        '''simple docstring'''





        with self.assertRaisesRegex(
            lowercase   ,      'hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack'   ,      ):
          a__:					List[str]      							=     FlaxAutoModel.from_pretrained('hf-internal-testing/config-no-model')



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





        '''simple docstring'''





        with self.assertRaisesRegex(lowercase   ,      'Use `from_pt=True` to load this model'):
          a__:					List[str]      							=     FlaxAutoModel.from_pretrained('hf-internal-testing/tiny-bert-pt-only')


