





'''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					(   a_						,						unittest.TestCase			):






       """simple docstring"""
       _snake_case     :					Optional[int]						    =   GPTaTokenizer
       _snake_case     :					Union[str, Any]						    =   GPTaTokenizerFast
       _snake_case     :					int						    =   True
       _snake_case     :					Dict						    =   {'add_prefix_space': True}
       _snake_case     :					int						    =   False





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

            '''simple docstring'''




            super().setUp()

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

            _UpperCamelCase       =	os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''vocab_file''']					)
            _UpperCamelCase       =	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 snake_case__						(							self       :		Dict	,			**lowerCAmelCase__       :		Optional[int]					)   ->					List[str]:

            '''simple docstring'''




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





       def snake_case__						(							self       :		List[str]	,			**lowerCAmelCase__       :		str					)   ->					Tuple:

            '''simple docstring'''




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





       def snake_case__						(							self       :		Optional[Any]	,			lowerCAmelCase__       :		List[Any]					)   ->					Tuple:

            '''simple docstring'''




            _UpperCamelCase       =	'''lower newer'''
            _UpperCamelCase       =	'''lower newer'''
            return input_text, output_text





       def snake_case__						(							self       :		Optional[Any]					)   ->					Dict:

            '''simple docstring'''




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

            _UpperCamelCase       =	tokens + [tokenizer.unk_token]
            _UpperCamelCase       =	[14, 15, 10, 9, 3, 2, 15, 19]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_					)	,			lowercase_					)





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

            '''simple docstring'''




            if not self.test_rust_tokenizer:
                 return

            _UpperCamelCase       =	self.get_tokenizer()
            _UpperCamelCase       =	self.get_rust_tokenizer(add_prefix_space=lowercase_					)

            _UpperCamelCase       =	'''lower newer'''

            # Testing tokenization
            _UpperCamelCase       =	tokenizer.tokenize(lowercase_	,			add_prefix_space=lowercase_					)
            _UpperCamelCase       =	rust_tokenizer.tokenize(lowercase_					)
            self.assertListEqual(lowercase_	,			lowercase_					)

            # Testing conversion to ids without special tokens
            _UpperCamelCase       =	tokenizer.encode(lowercase_	,			add_special_tokens=lowercase_	,			add_prefix_space=lowercase_					)
            _UpperCamelCase       =	rust_tokenizer.encode(lowercase_	,			add_special_tokens=lowercase_					)
            self.assertListEqual(lowercase_	,			lowercase_					)

            # Testing conversion to ids with special tokens
            _UpperCamelCase       =	self.get_rust_tokenizer(add_prefix_space=lowercase_					)
            _UpperCamelCase       =	tokenizer.encode(lowercase_	,			add_prefix_space=lowercase_					)
            _UpperCamelCase       =	rust_tokenizer.encode(lowercase_					)
            self.assertListEqual(lowercase_	,			lowercase_					)

            # Testing the unknown token
            _UpperCamelCase       =	tokens + [rust_tokenizer.unk_token]
            _UpperCamelCase       =	[14, 15, 10, 9, 3, 2, 15, 19]
            self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowercase_					)	,			lowercase_					)





       def snake_case__						(							self       :		Union[str, Any]	,			*lowerCAmelCase__       :		Optional[Any]	,			**lowerCAmelCase__       :		Optional[Any]					)   ->					List[Any]:

            '''simple docstring'''




            pass





       def snake_case__						(							self       :		Union[str, Any]	,			lowerCAmelCase__       :		Optional[Any]=15					)   ->					Dict:

            '''simple docstring'''




            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""					):
                      _UpperCamelCase       =	self.rust_tokenizer_class.from_pretrained(lowercase_	,			**lowercase_					)

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

            '''simple docstring'''




            _UpperCamelCase       =	GPTaTokenizer.from_pretrained(self.tmpdirname	,			pad_token='''<pad>'''					)

            # Simple input
            _UpperCamelCase       =	'''This is a simple input'''
            _UpperCamelCase       =	['''This is a simple input looooooooong''', '''This is a simple input''']
            _UpperCamelCase       =	('''This is a simple input''', '''This is a pair''')
            _UpperCamelCase       =	[
                ('''This is a simple input loooooong''', '''This is a simple input'''),
                ('''This is a simple pair loooooong''', '''This is a simple pair'''),
            ]

            _UpperCamelCase       =	tokenizer.pad_token_id

            _UpperCamelCase       =	tokenizer(lowercase_	,			padding='''max_length'''	,			max_length=30	,			return_tensors='''np'''					)
            _UpperCamelCase       =	tokenizer(lowercase_	,			padding=lowercase_	,			truncate=lowercase_	,			return_tensors='''np'''					)
            _UpperCamelCase       =	tokenizer(*lowercase_	,			padding='''max_length'''	,			max_length=60	,			return_tensors='''np'''					)
            _UpperCamelCase       =	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 snake_case__						(							self       :		Dict					)   ->					List[str]:

            '''simple docstring'''




            _UpperCamelCase       =	'''$$$'''
            _UpperCamelCase       =	GPTaTokenizer.from_pretrained(self.tmpdirname	,			bos_token=lowercase_	,			add_bos_token=lowercase_					)

            _UpperCamelCase       =	'''This is a simple input'''
            _UpperCamelCase       =	['''This is a simple input 1''', '''This is a simple input 2''']

            _UpperCamelCase       =	tokenizer.bos_token_id

            _UpperCamelCase       =	tokenizer(lowercase_					)
            _UpperCamelCase       =	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					)					)

            _UpperCamelCase       =	tokenizer.decode(out_s.input_ids					)
            _UpperCamelCase       =	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 snake_case__						(							self       :		Tuple					)   ->					Dict:

            '''simple docstring'''




            pass







       def snake_case__						(							self       :		int					)   ->					Optional[Any]:

            '''simple docstring'''




            _UpperCamelCase       =	[self.get_tokenizer(do_lower_case=lowercase_	,			add_bos_token=lowercase_					)]
            for tokenizer in tokenizers:
                 with self.subTest(f"""{tokenizer.__class__.__name__}"""					):
                      _UpperCamelCase       =	'''Encode this.'''
                      _UpperCamelCase       =	'''This one too please.'''
                      _UpperCamelCase       =	tokenizer.encode(lowercase_	,			add_special_tokens=lowercase_					)
                      encoded_sequence += tokenizer.encode(lowercase_	,			add_special_tokens=lowercase_					)
                      _UpperCamelCase       =	tokenizer.encode_plus(
                          lowercase_	,			lowercase_	,			add_special_tokens=lowercase_	,			return_special_tokens_mask=lowercase_	,			)
                      _UpperCamelCase       =	encoded_sequence_dict['''input_ids''']
                      _UpperCamelCase       =	encoded_sequence_dict['''special_tokens_mask''']
                      self.assertEqual(len(lowercase_					)	,			len(lowercase_					)					)

                      _UpperCamelCase       =	[
                          (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowercase_					)
                      ]
                      _UpperCamelCase       =	[x for x in filtered_sequence if x is not None]
                      self.assertEqual(lowercase_	,			lowercase_					)

@require_tokenizers
class     __lowerCAmelCase					(   unittest.TestCase			):






       """simple docstring"""





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

            '''simple docstring'''




            _UpperCamelCase       =	AutoTokenizer.from_pretrained('''facebook/opt-350m'''	,			from_slow=lowercase_					)
            _UpperCamelCase       =	'''A photo of a cat'''

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

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





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

            '''simple docstring'''




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

            _UpperCamelCase       =	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 snake_case__						(							self       :		Any					)   ->					Optional[int]:

            '''simple docstring'''




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

            _UpperCamelCase       =	'''bos'''
            _UpperCamelCase       =	tokenizer.get_vocab()['''bos''']

            _UpperCamelCase       =	'''A photo of a cat'''
            _UpperCamelCase       =	tokenizer.encode(
                lowercase_	,			)
            # We changed the bos token
            self.assertEqual(lowercase_	,			[31957, 250, 1345, 9, 10, 4758]					)
            tokenizer.save_pretrained('''./tok'''					)
            _UpperCamelCase       =	AutoTokenizer.from_pretrained('''./tok'''					)
            self.assertTrue(tokenizer.is_fast					)
            _UpperCamelCase       =	tokenizer.encode(
                lowercase_	,			)
            self.assertEqual(lowercase_	,			[31957, 250, 1345, 9, 10, 4758]					)










'''simple docstring'''

import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)
class     __lowerCAmelCase					(   unittest.TestCase			):






       """simple docstring"""





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

            '''simple docstring'''




            _UpperCamelCase       =	['''a''', '''b''', '''c''']

            # Defaults to last layer if both are None
            _UpperCamelCase   ,    _UpperCamelCase       =	get_aligned_output_features_output_indices(lowerCAmelCase__	,			lowerCAmelCase__	,			lowerCAmelCase__					)
            self.assertEqual(lowerCAmelCase__	,			['''c''']					)
            self.assertEqual(lowerCAmelCase__	,			[2]					)

            # Out indices set to match out features
            _UpperCamelCase   ,    _UpperCamelCase       =	get_aligned_output_features_output_indices(['''a''', '''c''']	,			lowerCAmelCase__	,			lowerCAmelCase__					)
            self.assertEqual(lowerCAmelCase__	,			['''a''', '''c''']					)
            self.assertEqual(lowerCAmelCase__	,			[0, 2]					)

            # Out features set to match out indices
            _UpperCamelCase   ,    _UpperCamelCase       =	get_aligned_output_features_output_indices(lowerCAmelCase__	,			[0, 2]	,			lowerCAmelCase__					)
            self.assertEqual(lowerCAmelCase__	,			['''a''', '''c''']					)
            self.assertEqual(lowerCAmelCase__	,			[0, 2]					)

            # Out features selected from negative indices
            _UpperCamelCase   ,    _UpperCamelCase       =	get_aligned_output_features_output_indices(lowerCAmelCase__	,			[-3, -1]	,			lowerCAmelCase__					)
            self.assertEqual(lowerCAmelCase__	,			['''a''', '''c''']					)
            self.assertEqual(lowerCAmelCase__	,			[-3, -1]					)





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

            '''simple docstring'''




            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(['''a''', '''b''']	,			(0, 1)	,			lowerCAmelCase__					)

            # Out features must be a list
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(('''a''', '''b''')	,			(0, 1)	,			['''a''', '''b''']					)

            # Out features must be a subset of stage names
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(['''a''', '''b''']	,			(0, 1)	,			['''a''']					)

            # Out indices must be a list or tuple
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(lowerCAmelCase__	,			0	,			['''a''', '''b''']					)

            # Out indices must be a subset of stage names
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(lowerCAmelCase__	,			(0, 1)	,			['''a''']					)

            # Out features and out indices must be the same length
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(['''a''', '''b''']	,			(0,)	,			['''a''', '''b''', '''c''']					)

            # Out features should match out indices
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(['''a''', '''b''']	,			(0, 2)	,			['''a''', '''b''', '''c''']					)

            # Out features and out indices should be in order
            with self.assertRaises(lowerCAmelCase__					):
                 verify_out_features_out_indices(['''b''', '''a''']	,			(0, 1)	,			['''a''', '''b''']					)

            # Check passes with valid inputs
            verify_out_features_out_indices(['''a''', '''b''', '''d''']	,			(0, 1, -1)	,			['''a''', '''b''', '''c''', '''d''']					)







       def snake_case__						(							self       :		Any					)   ->					str:

            '''simple docstring'''




            _UpperCamelCase       =	BackboneMixin()

            _UpperCamelCase       =	['''a''', '''b''', '''c''']
            _UpperCamelCase       =	['''a''', '''c''']
            _UpperCamelCase       =	[0, 2]

            # Check that the output features and indices are set correctly
            self.assertEqual(backbone.out_features	,			['''a''', '''c''']					)
            self.assertEqual(backbone.out_indices	,			[0, 2]					)

            # Check out features and indices are updated correctly
            _UpperCamelCase       =	['''a''', '''b''']
            self.assertEqual(backbone.out_features	,			['''a''', '''b''']					)
            self.assertEqual(backbone.out_indices	,			[0, 1]					)

            _UpperCamelCase       =	[-3, -1]
            self.assertEqual(backbone.out_features	,			['''a''', '''c''']					)
            self.assertEqual(backbone.out_indices	,			[-3, -1]					)



