





'''simple docstring'''



import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							__lowercase    ( lowerCAmelCase__	, unittest.TestCase  ):







 '''simple docstring'''

 a      :			List[str]     =    RobertaTokenizer
 a      :			Optional[Any]     =    RobertaTokenizerFast
 a      :			Union[str, Any]     =    True
 a      :			Any     =    {"cls_token": "<s>"}


 def   _UpperCAmelCase       (self	)							->							Dict:







    '''simple docstring'''





    super().setUp()

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

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


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







    '''simple docstring'''





    kwargs.update(self.special_tokens_map	)
    return self.tokenizer_class.from_pretrained(self.tmpdirname       ,**_lowerCamelCase	)


 def   _UpperCAmelCase       (self       ,**_lowerCamelCase	)							->							Dict:







    '''simple docstring'''





    kwargs.update(self.special_tokens_map	)
    return RobertaTokenizerFast.from_pretrained(self.tmpdirname       ,**_lowerCamelCase	)


 def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							List[str]:







    '''simple docstring'''





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


 def   _UpperCAmelCase       (self	)							->							int:







    '''simple docstring'''





    __lowercase			  =							self.tokenizer_class(self.vocab_file       ,self.merges_file       ,**self.special_tokens_map	)
    __lowercase			  =							'''lower newer'''
    __lowercase			  =							['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
    __lowercase			  =							tokenizer.tokenize(_lowerCamelCase	)  # , add_prefix_space=True)
    self.assertListEqual(_lowerCamelCase       ,_lowerCamelCase	)

    __lowercase			  =							tokens + [tokenizer.unk_token]
    __lowercase			  =							[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase	)       ,_lowerCamelCase	)


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







    '''simple docstring'''





    __lowercase			  =							self.get_tokenizer()

    self.assertListEqual(tokenizer.encode('''Hello world!'''       ,add_special_tokens=_lowerCamelCase	)       ,[0, 31414, 232, 328, 2]	)
    self.assertListEqual(
        tokenizer.encode('''Hello world! cécé herlolip 418'''       ,add_special_tokens=_lowerCamelCase	)       ,[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]       ,)


 @slow
 def   _UpperCAmelCase       (self	)							->							int:







    '''simple docstring'''





    __lowercase			  =							self.tokenizer_class.from_pretrained('''roberta-base'''	)

    __lowercase			  =							tokenizer.encode('''sequence builders'''       ,add_special_tokens=_lowerCamelCase	)
    __lowercase			  =							tokenizer.encode('''multi-sequence build'''       ,add_special_tokens=_lowerCamelCase	)

    __lowercase			  =							tokenizer.encode(
        '''sequence builders'''       ,add_special_tokens=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase	)
    __lowercase			  =							tokenizer.encode(
        '''sequence builders'''       ,'''multi-sequence build'''       ,add_special_tokens=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase	)

    __lowercase			  =							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase	)
    __lowercase			  =							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase       ,_lowerCamelCase	)

    assert encoded_sentence == encoded_text_from_decode
    assert encoded_pair == encoded_pair_from_decode


 def   _UpperCAmelCase       (self	)							->							Dict:







    '''simple docstring'''





    __lowercase			  =							self.get_tokenizer()

    __lowercase			  =							'''Encode this sequence.'''
    __lowercase			  =							tokenizer.byte_encoder[''' '''.encode('''utf-8'''	)[0]]

    # Testing encoder arguments
    __lowercase			  =							tokenizer.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase	)
    __lowercase			  =							tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
    self.assertNotEqual(_lowerCamelCase       ,_lowerCamelCase	)

    __lowercase			  =							tokenizer.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase	)
    __lowercase			  =							tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
    self.assertEqual(_lowerCamelCase       ,_lowerCamelCase	)

    tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}	)
    __lowercase			  =							tokenizer.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
    __lowercase			  =							tokenizer.convert_ids_to_tokens(encoded[1]	)[0]
    self.assertNotEqual(_lowerCamelCase       ,_lowerCamelCase	)

    # Testing spaces after special tokens
    __lowercase			  =							'''<mask>'''
    tokenizer.add_special_tokens(
        {'''mask_token''': AddedToken(_lowerCamelCase       ,lstrip=_lowerCamelCase       ,rstrip=_lowerCamelCase	)}	)  # mask token has a left space
    __lowercase			  =							tokenizer.convert_tokens_to_ids(_lowerCamelCase	)

    __lowercase			  =							'''Encode <mask> sequence'''
    __lowercase			  =							'''Encode <mask>sequence'''

    __lowercase			  =							tokenizer.encode(_lowerCamelCase	)
    __lowercase			  =							encoded.index(_lowerCamelCase	)
    __lowercase			  =							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
    self.assertEqual(_lowerCamelCase       ,_lowerCamelCase	)

    __lowercase			  =							tokenizer.encode(_lowerCamelCase	)
    __lowercase			  =							encoded.index(_lowerCamelCase	)
    __lowercase			  =							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
    self.assertNotEqual(_lowerCamelCase       ,_lowerCamelCase	)


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







    '''simple docstring'''





    pass


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







    '''simple docstring'''





    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"	):
          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)
          __lowercase			  =							self.tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)
          __lowercase			  =							'''A, <mask> AllenNLP sentence.'''
          __lowercase			  =							tokenizer_r.encode_plus(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,return_token_type_ids=_lowerCamelCase	)
          __lowercase			  =							tokenizer_p.encode_plus(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,return_token_type_ids=_lowerCamelCase	)

          # token_type_ids should put 0 everywhere
          self.assertEqual(sum(tokens_r['''token_type_ids''']	)       ,sum(tokens_p['''token_type_ids''']	)	)

          # attention_mask should put 1 everywhere, so sum over length should be 1
          self.assertEqual(
              sum(tokens_r['''attention_mask''']	) / len(tokens_r['''attention_mask''']	)       ,sum(tokens_p['''attention_mask''']	) / len(tokens_p['''attention_mask''']	)       ,)

          __lowercase			  =							tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']	)
          __lowercase			  =							tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']	)

          # Rust correctly handles the space before the mask while python doesnt
          self.assertSequenceEqual(tokens_p['''input_ids''']       ,[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]	)
          self.assertSequenceEqual(tokens_r['''input_ids''']       ,[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]	)

          self.assertSequenceEqual(
              _lowerCamelCase       ,['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']	)
          self.assertSequenceEqual(
              _lowerCamelCase       ,['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']	)


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







    '''simple docstring'''





    for trim_offsets, add_prefix_space in itertools.product([True, False]       ,repeat=2	):
       __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
           self.tmpdirname       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)

       __lowercase			  =							json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
       __lowercase			  =							json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()	)

       self.assertEqual(pre_tokenizer_state['''add_prefix_space''']       ,_lowerCamelCase	)

       self.assertEqual(post_processor_state['''add_prefix_space''']       ,_lowerCamelCase	)
       self.assertEqual(post_processor_state['''trim_offsets''']       ,_lowerCamelCase	)


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







    '''simple docstring'''





    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"	):
          __lowercase			  =							'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
          __lowercase			  =							f"{text_of_1_token} {text_of_1_token}"

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(0, len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(len(_lowerCamelCase	) + 1, len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(0, len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(len(_lowerCamelCase	) + 1, len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(0, len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(len(_lowerCamelCase	), len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(0, len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(len(_lowerCamelCase	), len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

          __lowercase			  =							f" {text}"

          # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
          #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
          # )
          # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
          # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
          # self.assertEqual(
          #     encoding.offset_mapping[1],
          #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
          # )

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(1, 1 + len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(1 + len(_lowerCamelCase	) + 1, 1 + len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(0, 1 + len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(1 + len(_lowerCamelCase	), 1 + len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)

          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(
              _lowerCamelCase       ,use_fast=_lowerCamelCase       ,add_prefix_space=_lowerCamelCase       ,trim_offsets=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r(_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          self.assertEqual(encoding.offset_mapping[0]       ,(0, 1 + len(_lowerCamelCase	))	)
          self.assertEqual(
              encoding.offset_mapping[1]       ,(1 + len(_lowerCamelCase	), 1 + len(_lowerCamelCase	) + 1 + len(_lowerCamelCase	))       ,)












'''simple docstring'''



from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available






@dataclass
class 							__lowercase    ( lowerCAmelCase__  ):







	'''simple docstring'''

	a      :			Union[List[PIL.Image.Image], np.ndarray]
	a      :			Optional[List[bool]]


if is_transformers_available() and is_torch_available():
	from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline





