"""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      UpperCAmelCase_	(    __UpperCAmelCase ,							unittest.TestCase):
      lowerCamelCase__		:    str   =  GPTaTokenizer
      lowerCamelCase__		:    Optional[Any]   =  GPTaTokenizerFast
      lowerCamelCase__		:    Union[str, Any]   =  True
      lowerCamelCase__		:    int   =  {'''add_prefix_space''': True}
      lowerCamelCase__		:    Optional[int]   =  False


      def 		_UpperCAmelCase       (   self							)       ->					List[str]:
             super().setUp()

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

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


      def 		_UpperCAmelCase       (   self		,			**a							)       ->					str:
             kwargs.update(self.special_tokens_map							)
             return GPTaTokenizer.from_pretrained(self.tmpdirname		,			**a							)


      def 		_UpperCAmelCase       (   self		,			**a							)       ->					Optional[int]:
             kwargs.update(self.special_tokens_map							)
             return GPTaTokenizerFast.from_pretrained(self.tmpdirname		,			**a							)


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Dict:
             lowercase__			:		Dict       =	'lower newer'
             lowercase__			:		str       =	'lower newer'
             return input_text, output_text


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

             lowercase__			:		List[Any]       =	tokens + [tokenizer.unk_token]
             lowercase__			:		Optional[Any]       =	[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(a							)		,			a							)


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

             if not self.test_rust_tokenizer:
                    return

             lowercase__			:		Optional[int]       =	self.get_tokenizer()
             lowercase__			:		Optional[Any]       =	self.get_rust_tokenizer(add_prefix_space=a							)

             lowercase__			:		Optional[Any]       =	'lower newer'

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

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

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

             # Testing the unknown token
             lowercase__			:		Union[str, Any]       =	tokens + [rust_tokenizer.unk_token]
             lowercase__			:		List[str]       =	[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
             self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(a							)		,			a							)


      def 		_UpperCAmelCase       (   self		,			*a		,			**a							)       ->					List[str]:
             pass


      def 		_UpperCAmelCase       (   self		,			a=1_5							)       ->					int:

             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
                           lowercase__			:		List[Any]       =	self.rust_tokenizer_class.from_pretrained(a		,			**a							)

                           # Simple input
                           lowercase__			:		Union[str, Any]       =	'This is a simple input'
                           lowercase__			:		Optional[Any]       =	['This is a simple input 1', 'This is a simple input 2']
                           lowercase__			:		int       =	('This is a simple input', 'This is a pair')
                           lowercase__			:		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(a		,			tokenizer_r.encode		,			a		,			max_length=a		,			padding='max_length'							)

                           # Simple input
                           self.assertRaises(a		,			tokenizer_r.encode_plus		,			a		,			max_length=a		,			padding='max_length'							)

                           # Simple input
                           self.assertRaises(
                               a		,			tokenizer_r.batch_encode_plus		,			a		,			max_length=a		,			padding='max_length'		,			)

                           # Pair input
                           self.assertRaises(a		,			tokenizer_r.encode		,			a		,			max_length=a		,			padding='max_length'							)

                           # Pair input
                           self.assertRaises(a		,			tokenizer_r.encode_plus		,			a		,			max_length=a		,			padding='max_length'							)

                           # Pair input
                           self.assertRaises(
                               a		,			tokenizer_r.batch_encode_plus		,			a		,			max_length=a		,			padding='max_length'		,			)


      def 		_UpperCAmelCase       (   self							)       ->					Optional[int]:
             lowercase__			:		Tuple       =	GPTaTokenizer.from_pretrained(self.tmpdirname		,			pad_token='<pad>'							)

             # Simple input
             lowercase__			:		Tuple       =	'This is a simple input'
             lowercase__			:		Optional[Any]       =	['This is a simple input looooooooong', 'This is a simple input']
             lowercase__			:		Any       =	('This is a simple input', 'This is a pair')
             lowercase__			:		List[Any]       =	[
                 ('This is a simple input loooooong', 'This is a simple input'),
                 ('This is a simple pair loooooong', 'This is a simple pair'),
             ]

             lowercase__			:		Optional[int]       =	tokenizer.pad_token_id

             lowercase__			:		Dict       =	tokenizer(a		,			padding='max_length'		,			max_length=3_0		,			return_tensors='np'							)
             lowercase__			:		str       =	tokenizer(a		,			padding=a		,			truncate=a		,			return_tensors='np'							)
             lowercase__			:		str       =	tokenizer(*a		,			padding='max_length'		,			max_length=6_0		,			return_tensors='np'							)
             lowercase__			:		Any       =	tokenizer(a		,			padding=a		,			truncate=a		,			return_tensors='np'							)

             # s
             # test single string max_length padding
             self.assertEqual(out_s['input_ids'].shape[-1]		,			3_0							)
             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]		,			3_3							)
             # 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]		,			6_0							)
             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]		,			5_2							)
             # 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 		_UpperCAmelCase       (   self							)       ->					Dict:
             lowercase__			:		Any       =	'$$$'
             lowercase__			:		int       =	GPTaTokenizer.from_pretrained(self.tmpdirname		,			bos_token=a		,			add_bos_token=a							)

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

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

             lowercase__			:		List[str]       =	tokenizer(a							)
             lowercase__			:		Union[str, Any]       =	tokenizer(a							)

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

             lowercase__			:		str       =	tokenizer.decode(out_s.input_ids							)
             lowercase__			:		Optional[Any]       =	tokenizer.batch_decode(out_sa.input_ids							)

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


      def 		_UpperCAmelCase       (   self							)       ->					Optional[Any]:
             pass


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

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





@require_tokenizers
class      UpperCAmelCase_	(    unittest.TestCase):


      def 		_UpperCAmelCase       (   self							)       ->					Dict:
             lowercase__			:		Optional[int]       =	AutoTokenizer.from_pretrained('facebook/opt-350m'		,			from_slow=a							)
             lowercase__			:		int       =	'A photo of a cat'

             lowercase__			:		List[Any]       =	tokenizer.encode(
                 a		,			)
             self.assertEqual(a		,			[2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)
             tokenizer.save_pretrained('test_opt'							)

             lowercase__			:		List[str]       =	AutoTokenizer.from_pretrained('./test_opt'							)
             lowercase__			:		Optional[Any]       =	tokenizer.encode(
                 a		,			)
             self.assertEqual(a		,			[2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)


      def 		_UpperCAmelCase       (   self							)       ->					int:
             lowercase__			:		Any       =	AutoTokenizer.from_pretrained('facebook/opt-350m'		,			use_slow=a							)
             lowercase__			:		str       =	'A photo of a cat'

             lowercase__			:		Tuple       =	tokenizer.encode(
                 a		,			)
             # Same as above
             self.assertEqual(a		,			[2, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)


      @unittest.skip('This test is failing because of a bug in the fast tokenizer'							)
      def 		_UpperCAmelCase       (   self							)       ->					Union[str, Any]:
             lowercase__			:		List[str]       =	AutoTokenizer.from_pretrained('facebook/opt-350m'		,			from_slow=a							)

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

             lowercase__			:		Dict       =	'A photo of a cat'
             lowercase__			:		Optional[int]       =	tokenizer.encode(
                 a		,			)
             # We changed the bos token
             self.assertEqual(a		,			[3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)
             tokenizer.save_pretrained('./tok'							)
             lowercase__			:		List[str]       =	AutoTokenizer.from_pretrained('./tok'							)
             self.assertTrue(tokenizer.is_fast							)
             lowercase__			:		List[Any]       =	tokenizer.encode(
                 a		,			)
             self.assertEqual(a		,			[3_1_9_5_7, 2_5_0, 1_3_4_5, 9, 1_0, 4_7_5_8]							)








from ...utils import is_torch_available, is_transformers_available


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


