




import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE ,     unittest.TestCase      ):


 '''simple docstring'''







 lowercase_       					=					ElectraTokenizer
 lowercase_       					=					ElectraTokenizerFast
 lowercase_       					=					True
 lowercase_       					=					True
 lowercase_       					=					filter_non_english



 def    lowerCAmelCase_						(							self						:	Tuple		):
       super().setUp()

       SCREAMING_SNAKE_CASE_					=    [
           '[UNK]',
           '[CLS]',
           '[SEP]',
           '[PAD]',
           '[MASK]',
           'want',
           '##want',
           '##ed',
           'wa',
           'un',
           'runn',
           '##ing',
           ',',
           'low',
           'lowest',
       ]
       SCREAMING_SNAKE_CASE_					=    os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES['vocab_file']		)
       with open(self.vocab_file       ,       'w'       ,       encoding='utf-8'		) as vocab_writer:
             vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]		)		)



 def    lowerCAmelCase_						(							self						:	Optional[int]       ,       _lowerCAmelCase						:	Union[str, Any]		):
       SCREAMING_SNAKE_CASE_					=    'UNwant\u00E9d,running'
       SCREAMING_SNAKE_CASE_					=    'unwanted, running'
       return input_text, output_text



 def    lowerCAmelCase_						(							self						:	Dict		):
       SCREAMING_SNAKE_CASE_					=    self.tokenizer_class(self.vocab_file		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.tokenize('UNwant\u00E9d,running'		)
       self.assertListEqual(_lowerCAmelCase       ,       ['un', '##want', '##ed', ',', 'runn', '##ing']		)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)       ,       [9, 6, 7, 12, 10, 11]		)



 def    lowerCAmelCase_						(							self						:	int		):
       if not self.test_rust_tokenizer:
             return

       SCREAMING_SNAKE_CASE_					=    self.get_tokenizer()
       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer()

       SCREAMING_SNAKE_CASE_					=    'UNwant\u00E9d,running'

       SCREAMING_SNAKE_CASE_					=    tokenizer.tokenize(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.tokenize(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE_					=    tokenizer.encode(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.encode(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       # With lower casing
       SCREAMING_SNAKE_CASE_					=    self.get_tokenizer(do_lower_case=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer(do_lower_case=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    'UNwant\u00E9d,running'

       SCREAMING_SNAKE_CASE_					=    tokenizer.tokenize(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.tokenize(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE_					=    tokenizer.encode(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    rust_tokenizer.encode(_lowerCAmelCase		)
       self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)



 def    lowerCAmelCase_						(							self						:	Optional[int]		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer()

       self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'		)       ,       ['ah', '\u535A', '\u63A8', 'zz']		)



 def    lowerCAmelCase_						(							self						:	int		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '		)       ,       ['hello', '!', 'how', 'are', 'you', '?']		)
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)       ,       ['hello']		)



 def    lowerCAmelCase_						(							self						:	List[Any]		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase       ,       strip_accents=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)       ,       ['hällo', '!', 'how', 'are', 'you', '?']		)
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)       ,       ['h\u00E9llo']		)



 def    lowerCAmelCase_						(							self						:	List[str]		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase       ,       strip_accents=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)       ,       ['hallo', '!', 'how', 'are', 'you', '?']		)
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)       ,       ['hello']		)



 def    lowerCAmelCase_						(							self						:	Union[str, Any]		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)       ,       ['hallo', '!', 'how', 'are', 'you', '?']		)
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)       ,       ['hello']		)



 def    lowerCAmelCase_						(							self						:	Optional[Any]		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '		)       ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?']		)



 def    lowerCAmelCase_						(							self						:	Union[str, Any]		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase       ,       strip_accents=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)       ,       ['HäLLo', '!', 'how', 'Are', 'yoU', '?']		)



 def    lowerCAmelCase_						(							self						:	Tuple		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase       ,       strip_accents=_lowerCAmelCase		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)       ,       ['HaLLo', '!', 'how', 'Are', 'yoU', '?']		)



 def    lowerCAmelCase_						(							self						:	str		):
       SCREAMING_SNAKE_CASE_					=    BasicTokenizer(do_lower_case=_lowerCAmelCase       ,       never_split=['[UNK]']		)

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'		)       ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']		)



 def    lowerCAmelCase_						(							self						:	Dict		):
       SCREAMING_SNAKE_CASE_					=    ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

       SCREAMING_SNAKE_CASE_					=    {}
       for i, token in enumerate(_lowerCAmelCase		):
             SCREAMING_SNAKE_CASE_					=    i
       SCREAMING_SNAKE_CASE_					=    WordpieceTokenizer(vocab=_lowerCAmelCase       ,       unk_token='[UNK]'		)

       self.assertListEqual(tokenizer.tokenize(''		)       ,       []		)

       self.assertListEqual(tokenizer.tokenize('unwanted running'		)       ,       ['un', '##want', '##ed', 'runn', '##ing']		)

       self.assertListEqual(tokenizer.tokenize('unwantedX running'		)       ,       ['[UNK]', 'runn', '##ing']		)



 def    lowerCAmelCase_						(							self						:	Tuple		):
       self.assertTrue(_is_whitespace(' '		)		)
       self.assertTrue(_is_whitespace('\t'		)		)
       self.assertTrue(_is_whitespace('\r'		)		)
       self.assertTrue(_is_whitespace('\n'		)		)
       self.assertTrue(_is_whitespace('\u00A0'		)		)

       self.assertFalse(_is_whitespace('A'		)		)
       self.assertFalse(_is_whitespace('-'		)		)



 def    lowerCAmelCase_						(							self						:	Optional[int]		):
       self.assertTrue(_is_control('\u0005'		)		)

       self.assertFalse(_is_control('A'		)		)
       self.assertFalse(_is_control(' '		)		)
       self.assertFalse(_is_control('\t'		)		)
       self.assertFalse(_is_control('\r'		)		)



 def    lowerCAmelCase_						(							self						:	Tuple		):
       self.assertTrue(_is_punctuation('-'		)		)
       self.assertTrue(_is_punctuation('$'		)		)
       self.assertTrue(_is_punctuation('`'		)		)
       self.assertTrue(_is_punctuation('.'		)		)

       self.assertFalse(_is_punctuation('A'		)		)
       self.assertFalse(_is_punctuation(' '		)		)



 def    lowerCAmelCase_						(							self						:	Any		):
       SCREAMING_SNAKE_CASE_					=    self.get_tokenizer()
       SCREAMING_SNAKE_CASE_					=    self.get_rust_tokenizer()

       # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
       self.assertListEqual([tokenizer.tokenize(_lowerCAmelCase		) for t in ['Test', '\xad', 'test']]       ,       [['[UNK]'], [], ['[UNK]']]		)

       self.assertListEqual(
           [rust_tokenizer.tokenize(_lowerCAmelCase		) for t in ['Test', '\xad', 'test']]       ,       [['[UNK]'], [], ['[UNK]']]		)



 @slow
 def    lowerCAmelCase_						(							self						:	List[Any]		):
       SCREAMING_SNAKE_CASE_					=    self.tokenizer_class.from_pretrained('google/electra-base-discriminator'		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.encode('sequence builders'       ,       add_special_tokens=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    tokenizer.encode('multi-sequence build'       ,       add_special_tokens=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_					=    tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase       ,       _lowerCAmelCase		)

       assert encoded_sentence == [101] + text + [102]
       assert encoded_pair == [101] + text + [102] + text_a + [102]



 def    lowerCAmelCase_						(							self						:	Optional[Any]		):
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
                   SCREAMING_SNAKE_CASE_					=    self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase       ,       **_lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_					=    F"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
                   SCREAMING_SNAKE_CASE_					=    tokenizer_r.encode_plus(
                       _lowerCAmelCase       ,       return_attention_mask=_lowerCAmelCase       ,       return_token_type_ids=_lowerCAmelCase       ,       return_offsets_mapping=_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase       ,       )

                   SCREAMING_SNAKE_CASE_					=    tokenizer_r.do_lower_case if hasattr(_lowerCAmelCase       ,       'do_lower_case'		) else False
                   SCREAMING_SNAKE_CASE_					=    (
                       [
                           ((0, 0), tokenizer_r.cls_token),
                           ((0, 1), 'A'),
                           ((1, 2), ','),
                           ((3, 5), 'na'),
                           ((5, 6), '##ï'),
                           ((6, 8), '##ve'),
                           ((9, 15), tokenizer_r.mask_token),
                           ((16, 21), 'Allen'),
                           ((21, 23), '##NL'),
                           ((23, 24), '##P'),
                           ((25, 33), 'sentence'),
                           ((33, 34), '.'),
                           ((0, 0), tokenizer_r.sep_token),
                       ]
                       if not do_lower_case
                       else [
                           ((0, 0), tokenizer_r.cls_token),
                           ((0, 1), 'a'),
                           ((1, 2), ','),
                           ((3, 8), 'naive'),
                           ((9, 15), tokenizer_r.mask_token),
                           ((16, 21), 'allen'),
                           ((21, 23), '##nl'),
                           ((23, 24), '##p'),
                           ((25, 33), 'sentence'),
                           ((33, 34), '.'),
                           ((0, 0), tokenizer_r.sep_token),
                       ]
                   )

                   self.assertEqual(
                       [e[1] for e in expected_results]       ,       tokenizer_r.convert_ids_to_tokens(tokens['input_ids']		)		)
                   self.assertEqual([e[0] for e in expected_results]       ,       tokens['offset_mapping']		)




 def    lowerCAmelCase_						(							self						:	List[Any]		):
       SCREAMING_SNAKE_CASE_					=    ['的', '人', '有']
       SCREAMING_SNAKE_CASE_					=    ''.join(_lowerCAmelCase		)
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
                   SCREAMING_SNAKE_CASE_					=    True
                   SCREAMING_SNAKE_CASE_					=    self.tokenizer_class.from_pretrained(_lowerCAmelCase       ,       **_lowerCAmelCase		)
                   SCREAMING_SNAKE_CASE_					=    self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase       ,       **_lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_					=    tokenizer_p.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
                   SCREAMING_SNAKE_CASE_					=    tokenizer_r.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_					=    tokenizer_r.convert_ids_to_tokens(_lowerCAmelCase		)
                   SCREAMING_SNAKE_CASE_					=    tokenizer_p.convert_ids_to_tokens(_lowerCAmelCase		)

                   # it is expected that each Chinese character is not preceded by "##"
                   self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)
                   self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_					=    False
                   SCREAMING_SNAKE_CASE_					=    self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase       ,       **_lowerCAmelCase		)
                   SCREAMING_SNAKE_CASE_					=    self.tokenizer_class.from_pretrained(_lowerCAmelCase       ,       **_lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_					=    tokenizer_r.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)
                   SCREAMING_SNAKE_CASE_					=    tokenizer_p.encode(_lowerCAmelCase       ,       add_special_tokens=_lowerCAmelCase		)

                   SCREAMING_SNAKE_CASE_					=    tokenizer_r.convert_ids_to_tokens(_lowerCAmelCase		)
                   SCREAMING_SNAKE_CASE_					=    tokenizer_p.convert_ids_to_tokens(_lowerCAmelCase		)

                   # it is expected that only the first Chinese character is not preceded by "##".
                   SCREAMING_SNAKE_CASE_					=    [
                       F"##{token}" if idx != 0 else token for idx, token in enumerate(_lowerCAmelCase		)
                   ]
                   self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)
                   self.assertListEqual(_lowerCAmelCase       ,       _lowerCAmelCase		)





import gc
import tempfile
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionDualGuidedPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device


lowerCamelCase__				:     int			       =							False





@nightly
@require_torch_gpu
class  lowerCamelCase_							(   unittest.TestCase      ):


 '''simple docstring'''







 def    lowerCAmelCase_						(							self						:	Optional[Any]		):
       # clean up the VRAM after each test
       super().tearDown()
       gc.collect()
       torch.cuda.empty_cache()



 def    lowerCAmelCase_						(							self						:	Optional[int]		):
       SCREAMING_SNAKE_CASE_					=    VersatileDiffusionDualGuidedPipeline.from_pretrained('shi-labs/versatile-diffusion'		)
       # remove text_unet
       pipe.remove_unused_weights()
       pipe.to(_lowerCAmelCase		)
       pipe.set_progress_bar_config(disable=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    load_image(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'		)

       SCREAMING_SNAKE_CASE_					=    torch.manual_seed(0		)
       SCREAMING_SNAKE_CASE_					=    pipe(
           prompt='first prompt'       ,       image=_lowerCAmelCase       ,       text_to_image_strength=0.75       ,       generator=_lowerCAmelCase       ,       guidance_scale=7.5       ,       num_inference_steps=2       ,       output_type='numpy'       ,       ).images

       with tempfile.TemporaryDirectory() as tmpdirname:
             pipe.save_pretrained(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_					=    VersatileDiffusionDualGuidedPipeline.from_pretrained(_lowerCAmelCase		)

       pipe.to(_lowerCAmelCase		)
       pipe.set_progress_bar_config(disable=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    generator.manual_seed(0		)
       SCREAMING_SNAKE_CASE_					=    pipe(
           prompt='first prompt'       ,       image=_lowerCAmelCase       ,       text_to_image_strength=0.75       ,       generator=_lowerCAmelCase       ,       guidance_scale=7.5       ,       num_inference_steps=2       ,       output_type='numpy'       ,       ).images

       assert np.abs(image - new_image		).sum() < 1E-5, "Models don't have the same forward pass"




 def    lowerCAmelCase_						(							self						:	Any		):
       SCREAMING_SNAKE_CASE_					=    VersatileDiffusionDualGuidedPipeline.from_pretrained('shi-labs/versatile-diffusion'		)
       pipe.remove_unused_weights()
       pipe.to(_lowerCAmelCase		)
       pipe.set_progress_bar_config(disable=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_					=    'cyberpunk 2077'
       SCREAMING_SNAKE_CASE_					=    load_image(
           'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'		)
       SCREAMING_SNAKE_CASE_					=    torch.manual_seed(0		)
       SCREAMING_SNAKE_CASE_					=    pipe(
           prompt=_lowerCAmelCase       ,       image=_lowerCAmelCase       ,       text_to_image_strength=0.75       ,       generator=_lowerCAmelCase       ,       guidance_scale=7.5       ,       num_inference_steps=50       ,       output_type='numpy'       ,       ).images

       SCREAMING_SNAKE_CASE_					=    image[0, 253:256, 253:256, -1]

       assert image.shape == (1, 512, 512, 3)
       SCREAMING_SNAKE_CASE_					=    np.array([0.0787, 0.0849, 0.0826, 0.0812, 0.0807, 0.0795, 0.0818, 0.0798, 0.0779]		)

       assert np.abs(image_slice.flatten() - expected_slice		).max() < 1E-2