
'''simple docstring'''






import unittest

import numpy as np

from diffusers import LMSDiscreteScheduler, OnnxStableDiffusionInpaintPipeline
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)

from ..test_pipelines_onnx_common import OnnxPipelineTesterMixin


if is_onnx_available():
					import onnxruntime as ort




class     __snake_case		(   a__    ,   unittest.TestCase):
					# FIXME: add fast tests
					pass





@nightly
@require_onnxruntime
@require_torch_gpu
class     __snake_case		(   unittest.TestCase):
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									return (
									    "CUDAExecutionProvider",
									    {
									        "gpu_mem_limit": "15000000000",  # 15GB
									        "arena_extend_strategy": "kSameAsRequested",
									    },
									)
					@property
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= ort.SessionOptions()
									lowerCamelCase					:			str									= False
									return options
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Any									= load_image(
									    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
									    '/in_paint/overture-creations-5sI6fQgYIuo.png'      )
									lowerCamelCase					:			Optional[int]									= load_image(
									    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
									    '/in_paint/overture-creations-5sI6fQgYIuo_mask.png'      )
									lowerCamelCase					:			List[str]									= OnnxStableDiffusionInpaintPipeline.from_pretrained(
									    'runwayml/stable-diffusion-inpainting',    revision='onnx',    safety_checker=lowercase__,    feature_extractor=lowercase__,    provider=self.gpu_provider,    sess_options=self.gpu_options,    )
									pipe.set_progress_bar_config(disable=lowercase__      )

									lowerCamelCase					:			Dict									= '''A red cat sitting on a park bench'''

									lowerCamelCase					:			Tuple									= np.random.RandomState(0      )
									lowerCamelCase					:			Dict									= pipe(
									    prompt=lowercase__,    image=lowercase__,    mask_image=lowercase__,    guidance_scale=7.5,    num_inference_steps=10,    generator=lowercase__,    output_type='np',    )
									lowerCamelCase					:			Union[str, Any]									= output.images
									lowerCamelCase					:			List[str]									= images[0, 255:258, 255:258, -1]

									assert images.shape == (1, 512, 512, 3)
									lowerCamelCase					:			List[Any]									= np.array([0.2514, 0.3007, 0.3517, 0.1790, 0.2382, 0.3167, 0.1944, 0.2273, 0.2464]      )

									assert np.abs(image_slice.flatten() - expected_slice      ).max() < 1e-3




					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			int									= load_image(
									    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
									    '/in_paint/overture-creations-5sI6fQgYIuo.png'      )
									lowerCamelCase					:			List[str]									= load_image(
									    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
									    '/in_paint/overture-creations-5sI6fQgYIuo_mask.png'      )
									lowerCamelCase					:			str									= LMSDiscreteScheduler.from_pretrained(
									    'runwayml/stable-diffusion-inpainting',    subfolder='scheduler',    revision='onnx'      )
									lowerCamelCase					:			Union[str, Any]									= OnnxStableDiffusionInpaintPipeline.from_pretrained(
									    'runwayml/stable-diffusion-inpainting',    revision='onnx',    scheduler=lowercase__,    safety_checker=lowercase__,    feature_extractor=lowercase__,    provider=self.gpu_provider,    sess_options=self.gpu_options,    )
									pipe.set_progress_bar_config(disable=lowercase__      )

									lowerCamelCase					:			Dict									= '''A red cat sitting on a park bench'''

									lowerCamelCase					:			int									= np.random.RandomState(0      )
									lowerCamelCase					:			int									= pipe(
									    prompt=lowercase__,    image=lowercase__,    mask_image=lowercase__,    guidance_scale=7.5,    num_inference_steps=20,    generator=lowercase__,    output_type='np',    )
									lowerCamelCase					:			List[Any]									= output.images
									lowerCamelCase					:			Dict									= images[0, 255:258, 255:258, -1]

									assert images.shape == (1, 512, 512, 3)
									lowerCamelCase					:			Optional[int]									= np.array([0.0086, 0.0077, 0.0083, 0.0093, 0.0107, 0.0139, 0.0094, 0.0097, 0.0125]      )

									assert np.abs(image_slice.flatten() - expected_slice      ).max() < 1e-3


'''simple docstring'''






import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    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     __snake_case		(   a__    ,   unittest.TestCase):
					_lowerCAmelCase			     =	BertTokenizer
					_lowerCAmelCase			     =	BertTokenizerFast
					_lowerCAmelCase			     =	True
					_lowerCAmelCase			     =	True
					_lowerCAmelCase			     =	filter_non_english
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									super().setUp()

									lowerCamelCase					:			str									= [
									    '[UNK]',
									    '[CLS]',
									    '[SEP]',
									    '[PAD]',
									    '[MASK]',
									    'want',
									    '##want',
									    '##ed',
									    'wa',
									    'un',
									    'runn',
									    '##ing',
									    ',',
									    'low',
									    'lowest',
									]
									lowerCamelCase					:			Any									= 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     UpperCAmelCase_							(     self,    A      ):

									"""simple docstring"""


									lowerCamelCase					:			str									= 'UNwant\u00E9d,running'
									lowerCamelCase					:			List[str]									= 'unwanted, running'
									return input_text, output_text
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.tokenizer_class(self.vocab_file      )

									lowerCamelCase					:			List[str]									= tokenizer.tokenize('UNwant\u00E9d,running'      )
									self.assertListEqual(A,    ['un', '##want', '##ed', ',', 'runn', '##ing']      )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(A      ),    [9, 6, 7, 12, 10, 11]      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									if not self.test_rust_tokenizer:
													return

									lowerCamelCase					:			Dict									= self.get_tokenizer()
									lowerCamelCase					:			Optional[Any]									= self.get_rust_tokenizer()

									lowerCamelCase					:			Dict									= 'UNwant\u00E9d,running'

									lowerCamelCase					:			Tuple									= tokenizer.tokenize(A      )
									lowerCamelCase					:			Optional[int]									= rust_tokenizer.tokenize(A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= tokenizer.encode(A,    add_special_tokens=A      )
									lowerCamelCase					:			List[Any]									= rust_tokenizer.encode(A,    add_special_tokens=A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= self.get_rust_tokenizer()
									lowerCamelCase					:			Optional[Any]									= tokenizer.encode(A      )
									lowerCamelCase					:			Tuple									= rust_tokenizer.encode(A      )
									self.assertListEqual(A,    A      )

									# With lower casing
									lowerCamelCase					:			Union[str, Any]									= self.get_tokenizer(do_lower_case=A      )
									lowerCamelCase					:			List[Any]									= self.get_rust_tokenizer(do_lower_case=A      )

									lowerCamelCase					:			Optional[int]									= 'UNwant\u00E9d,running'

									lowerCamelCase					:			Optional[Any]									= tokenizer.tokenize(A      )
									lowerCamelCase					:			str									= rust_tokenizer.tokenize(A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= tokenizer.encode(A,    add_special_tokens=A      )
									lowerCamelCase					:			Union[str, Any]									= rust_tokenizer.encode(A,    add_special_tokens=A      )
									self.assertListEqual(A,    A      )

									lowerCamelCase					:			Optional[Any]									= self.get_rust_tokenizer()
									lowerCamelCase					:			Any									= tokenizer.encode(A      )
									lowerCamelCase					:			Dict									= rust_tokenizer.encode(A      )
									self.assertListEqual(A,    A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= BasicTokenizer()

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

									"""simple docstring"""


									lowerCamelCase					:			int									= BasicTokenizer(do_lower_case=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			Tuple									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			str									= BasicTokenizer(do_lower_case=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			str									= BasicTokenizer(do_lower_case=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			int									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			Optional[Any]									= BasicTokenizer(do_lower_case=A,    strip_accents=A      )

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

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= BasicTokenizer(do_lower_case=A,    never_split=['[UNK]']      )

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

									"""simple docstring"""


									lowerCamelCase					:			List[Any]									= BasicTokenizer()
									lowerCamelCase					:			Optional[Any]									= 'a\n\'ll !!to?\'d of, can\'t.'
									lowerCamelCase					:			int									= ['a', '\'', 'll', '!', '!', 'to', '?', '\'', 'd', 'of', ',', 'can', '\'', 't', '.']
									self.assertListEqual(tokenizer.tokenize(A      ),    A      )
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Union[str, Any]									= ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

									lowerCamelCase					:			Optional[int]									= {}
									for i, token in enumerate(A      ):
													lowerCamelCase					:			int									= i
									lowerCamelCase					:			List[Any]									= WordpieceTokenizer(vocab=A,    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     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									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     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									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     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									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     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.get_tokenizer()
									lowerCamelCase					:			Optional[int]									= self.get_rust_tokenizer()

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

									self.assertListEqual(
									    [rust_tokenizer.tokenize(A      ) for t in ['Test', '\xad', 'test']],    [['[UNK]'], [], ['[UNK]']]      )
					@slow
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			List[str]									= self.tokenizer_class.from_pretrained('bert-base-uncased'      )

									lowerCamelCase					:			Any									= tokenizer.encode('sequence builders',    add_special_tokens=A      )
									lowerCamelCase					:			Tuple									= tokenizer.encode('multi-sequence build',    add_special_tokens=A      )

									lowerCamelCase					:			List[Any]									= tokenizer.build_inputs_with_special_tokens(A      )
									lowerCamelCase					:			Optional[int]									= tokenizer.build_inputs_with_special_tokens(A,    A      )

									assert encoded_sentence == [101] + text + [102]
									assert encoded_pair == [101] + text + [102] + text_a + [102]
					def     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
																	lowerCamelCase					:			Optional[Any]									= self.rust_tokenizer_class.from_pretrained(A,    **A      )

																	lowerCamelCase					:			Optional[int]									= F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																	lowerCamelCase					:			List[str]									= tokenizer_r.encode_plus(
																	    A,    return_attention_mask=A,    return_token_type_ids=A,    return_offsets_mapping=A,    add_special_tokens=A,    )

																	lowerCamelCase					:			int									= tokenizer_r.do_lower_case if hasattr(A,    'do_lower_case'      ) else False
																	lowerCamelCase					:			Union[str, Any]									= (
																	    [
																	        ((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     UpperCAmelCase_							(     self      ):

									"""simple docstring"""


									lowerCamelCase					:			Optional[int]									= ['的', '人', '有']
									lowerCamelCase					:			List[str]									= ''.join(A      )
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
																	lowerCamelCase					:			Dict									= True
																	lowerCamelCase					:			Tuple									= self.tokenizer_class.from_pretrained(A,    **A      )
																	lowerCamelCase					:			int									= self.rust_tokenizer_class.from_pretrained(A,    **A      )

																	lowerCamelCase					:			Union[str, Any]									= tokenizer_p.encode(A,    add_special_tokens=A      )
																	lowerCamelCase					:			Dict									= tokenizer_r.encode(A,    add_special_tokens=A      )

																	lowerCamelCase					:			Optional[Any]									= tokenizer_r.convert_ids_to_tokens(A      )
																	lowerCamelCase					:			str									= tokenizer_p.convert_ids_to_tokens(A      )

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

																	lowerCamelCase					:			int									= False
																	lowerCamelCase					:			int									= self.rust_tokenizer_class.from_pretrained(A,    **A      )
																	lowerCamelCase					:			Tuple									= self.tokenizer_class.from_pretrained(A,    **A      )

																	lowerCamelCase					:			int									= tokenizer_r.encode(A,    add_special_tokens=A      )
																	lowerCamelCase					:			List[str]									= tokenizer_p.encode(A,    add_special_tokens=A      )

																	lowerCamelCase					:			Optional[Any]									= tokenizer_r.convert_ids_to_tokens(A      )
																	lowerCamelCase					:			Tuple									= tokenizer_p.convert_ids_to_tokens(A      )

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