
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     lowerCamelCase__							(       __lowerCAmelCase  ,		unittest.TestCase):




	'''simple docstring'''




	_A			=  BertTokenizer
	_A			=  BertTokenizerFast
	_A			=  True
	_A			=  True
	_A			=  filter_non_english







	def      _lowerCamelCase       (      self	:Tuple		)	->				str:
								super().setUp()

								__UpperCamelCase			:     int         =      [
								    '''[UNK]''',
								    '''[CLS]''',
								    '''[SEP]''',
								    '''[PAD]''',
								    '''[MASK]''',
								    '''want''',
								    '''##want''',
								    '''##ed''',
								    '''wa''',
								    '''un''',
								    '''runn''',
								    '''##ing''',
								    ''',''',
								    '''low''',
								    '''lowest''',
								]
								__UpperCamelCase			:     Tuple         =      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	:int  ,     a	:Optional[int]		)	->				Any:
								__UpperCamelCase			:     List[str]         =      '''UNwant\u00E9d,running'''
								__UpperCamelCase			:     Dict         =      '''unwanted, running'''
								return input_text, output_text







	def      _lowerCamelCase       (      self	:Optional[Any]		)	->				Any:
								__UpperCamelCase			:     int         =      self.tokenizer_class(self.vocab_file		)

								__UpperCamelCase			:     Optional[Any]         =      tokenizer.tokenize("UNwant\u00E9d,running"		)
								self.assertListEqual(lowerCamelCase__  ,     ["un", "##want", "##ed", ",", "runn", "##ing"]		)
								self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__		)  ,     [9, 6, 7, 1_2, 1_0, 1_1]		)







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






								if not self.test_rust_tokenizer:
															return

								__UpperCamelCase			:     str         =      self.get_tokenizer()
								__UpperCamelCase			:     Dict         =      self.get_rust_tokenizer()

								__UpperCamelCase			:     List[str]         =      '''UNwant\u00E9d,running'''

								__UpperCamelCase			:     Optional[Any]         =      tokenizer.tokenize(lowerCamelCase__		)
								__UpperCamelCase			:     Any         =      rust_tokenizer.tokenize(lowerCamelCase__		)
								self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)

								__UpperCamelCase			:     Any         =      tokenizer.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)
								__UpperCamelCase			:     Dict         =      rust_tokenizer.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)
								self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)

								__UpperCamelCase			:     Optional[int]         =      self.get_rust_tokenizer()
								__UpperCamelCase			:     List[Any]         =      tokenizer.encode(lowerCamelCase__		)
								__UpperCamelCase			:     List[str]         =      rust_tokenizer.encode(lowerCamelCase__		)
								self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)

								# With lower casing
								__UpperCamelCase			:     Tuple         =      self.get_tokenizer(do_lower_case=lowerCamelCase__		)
								__UpperCamelCase			:     str         =      self.get_rust_tokenizer(do_lower_case=lowerCamelCase__		)

								__UpperCamelCase			:     List[Any]         =      '''UNwant\u00E9d,running'''

								__UpperCamelCase			:     Union[str, Any]         =      tokenizer.tokenize(lowerCamelCase__		)
								__UpperCamelCase			:     Dict         =      rust_tokenizer.tokenize(lowerCamelCase__		)
								self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)

								__UpperCamelCase			:     List[Any]         =      tokenizer.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)
								__UpperCamelCase			:     Any         =      rust_tokenizer.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)
								self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)

								__UpperCamelCase			:     Dict         =      self.get_rust_tokenizer()
								__UpperCamelCase			:     str         =      tokenizer.encode(lowerCamelCase__		)
								__UpperCamelCase			:     List[Any]         =      rust_tokenizer.encode(lowerCamelCase__		)
								self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)







	def      _lowerCamelCase       (      self	:Union[str, Any]		)	->				Optional[int]:
								__UpperCamelCase			:     Tuple         =      BasicTokenizer()

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







	def      _lowerCamelCase       (      self	:Any		)	->				Dict:
								__UpperCamelCase			:     Optional[int]         =      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	:Dict		)	->				Optional[Any]:
								__UpperCamelCase			:     Any         =      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	:Dict		)	->				int:
								__UpperCamelCase			:     Any         =      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	:str		)	->				Optional[int]:
								__UpperCamelCase			:     str         =      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	:Dict		)	->				Any:
								__UpperCamelCase			:     Dict         =      BasicTokenizer(do_lower_case=lowerCamelCase__		)

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







	def      _lowerCamelCase       (      self	:int		)	->				Tuple:
								__UpperCamelCase			:     Any         =      BasicTokenizer(do_lower_case=lowerCamelCase__  ,     strip_accents=lowerCamelCase__		)

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







	def      _lowerCamelCase       (      self	:int		)	->				Union[str, Any]:
								__UpperCamelCase			:     Optional[int]         =      BasicTokenizer(do_lower_case=lowerCamelCase__  ,     strip_accents=lowerCamelCase__		)

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







	def      _lowerCamelCase       (      self	:Optional[int]		)	->				Optional[int]:
								__UpperCamelCase			:     Optional[int]         =      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	:List[Any]		)	->				Any:
								__UpperCamelCase			:     Dict         =      BasicTokenizer()
								__UpperCamelCase			:     List[str]         =      '''a\n\'ll !!to?\'d of, can\'t.'''
								__UpperCamelCase			:     Optional[Any]         =      ['''a''', '''\'''', '''ll''', '''!''', '''!''', '''to''', '''?''', '''\'''', '''d''', '''of''', ''',''', '''can''', '''\'''', '''t''', '''.''']
								self.assertListEqual(tokenizer.tokenize(lowerCamelCase__		)  ,     lowerCamelCase__		)







	def      _lowerCamelCase       (      self	:Union[str, Any]		)	->				List[Any]:
								__UpperCamelCase			:     Union[str, Any]         =      ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

								__UpperCamelCase			:     List[Any]         =      {}
								for i, token in enumerate(lowerCamelCase__		):
															__UpperCamelCase			:     str         =      i
								__UpperCamelCase			:     Union[str, Any]         =      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	:Dict		)	->				int:
								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	:Tuple		)	->				List[str]:
								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	:Dict		)	->				int:
								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	:List[str]		)	->				Optional[Any]:
								__UpperCamelCase			:     Optional[Any]         =      self.get_tokenizer()
								__UpperCamelCase			:     Optional[Any]         =      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]		)	->				Optional[int]:
								__UpperCamelCase			:     List[Any]         =      self.tokenizer_class.from_pretrained("bert-base-uncased"		)

								__UpperCamelCase			:     List[str]         =      tokenizer.encode("sequence builders"  ,     add_special_tokens=lowerCamelCase__		)
								__UpperCamelCase			:     str         =      tokenizer.encode("multi-sequence build"  ,     add_special_tokens=lowerCamelCase__		)

								__UpperCamelCase			:     Union[str, Any]         =      tokenizer.build_inputs_with_special_tokens(lowerCamelCase__		)
								__UpperCamelCase			:     Optional[Any]         =      tokenizer.build_inputs_with_special_tokens(lowerCamelCase__  ,     lowerCamelCase__		)

								assert encoded_sentence == [1_0_1] + text + [1_0_2]
								assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]







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






								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'		):
																						__UpperCamelCase			:     int         =      self.rust_tokenizer_class.from_pretrained(lowerCamelCase__  ,     **lowerCamelCase__		)

																						__UpperCamelCase			:     Dict         =      f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
																						__UpperCamelCase			:     Union[str, Any]         =      tokenizer_r.encode_plus(
																						    lowerCamelCase__  ,     return_attention_mask=lowerCamelCase__  ,     return_token_type_ids=lowerCamelCase__  ,     return_offsets_mapping=lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__  ,     )

																						__UpperCamelCase			:     List[Any]         =      tokenizer_r.do_lower_case if hasattr(lowerCamelCase__  ,     "do_lower_case"		) else False
																						__UpperCamelCase			:     Optional[int]         =      (
																						    [
																						        ((0, 0), tokenizer_r.cls_token),
																						        ((0, 1), '''A'''),
																						        ((1, 2), ''','''),
																						        ((3, 5), '''na'''),
																						        ((5, 6), '''##ï'''),
																						        ((6, 8), '''##ve'''),
																						        ((9, 1_5), tokenizer_r.mask_token),
																						        ((1_6, 2_1), '''Allen'''),
																						        ((2_1, 2_3), '''##NL'''),
																						        ((2_3, 2_4), '''##P'''),
																						        ((2_5, 3_3), '''sentence'''),
																						        ((3_3, 3_4), '''.'''),
																						        ((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, 1_5), tokenizer_r.mask_token),
																						        ((1_6, 2_1), '''allen'''),
																						        ((2_1, 2_3), '''##nl'''),
																						        ((2_3, 2_4), '''##p'''),
																						        ((2_5, 3_3), '''sentence'''),
																						        ((3_3, 3_4), '''.'''),
																						        ((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	:Dict		)	->				Any:
								__UpperCamelCase			:     Union[str, Any]         =      ['''的''', '''人''', '''有''']
								__UpperCamelCase			:     Optional[int]         =      ''''''.join(lowerCamelCase__		)
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'		):
																						__UpperCamelCase			:     Dict         =      True
																						__UpperCamelCase			:     Any         =      self.tokenizer_class.from_pretrained(lowerCamelCase__  ,     **lowerCamelCase__		)
																						__UpperCamelCase			:     Optional[int]         =      self.rust_tokenizer_class.from_pretrained(lowerCamelCase__  ,     **lowerCamelCase__		)

																						__UpperCamelCase			:     Optional[int]         =      tokenizer_p.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)
																						__UpperCamelCase			:     List[str]         =      tokenizer_r.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)

																						__UpperCamelCase			:     str         =      tokenizer_r.convert_ids_to_tokens(lowerCamelCase__		)
																						__UpperCamelCase			:     str         =      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__		)

																						__UpperCamelCase			:     List[Any]         =      False
																						__UpperCamelCase			:     Dict         =      self.rust_tokenizer_class.from_pretrained(lowerCamelCase__  ,     **lowerCamelCase__		)
																						__UpperCamelCase			:     Optional[Any]         =      self.tokenizer_class.from_pretrained(lowerCamelCase__  ,     **lowerCamelCase__		)

																						__UpperCamelCase			:     Dict         =      tokenizer_r.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)
																						__UpperCamelCase			:     Optional[Any]         =      tokenizer_p.encode(lowerCamelCase__  ,     add_special_tokens=lowerCamelCase__		)

																						__UpperCamelCase			:     List[str]         =      tokenizer_r.convert_ids_to_tokens(lowerCamelCase__		)
																						__UpperCamelCase			:     Tuple         =      tokenizer_p.convert_ids_to_tokens(lowerCamelCase__		)

																						# it is expected that only the first Chinese character is not preceded by "##".
																						__UpperCamelCase			:     Union[str, Any]         =      [
																						    f'##{token}' if idx != 0 else token for idx, token in enumerate(lowerCamelCase__		)
																						]
																						self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)
																						self.assertListEqual(lowerCamelCase__  ,     lowerCamelCase__		)

import argparse

import intel_extension_for_pytorch as ipex
import torch

from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline


lowercase						:      Any									= argparse.ArgumentParser('Stable Diffusion script with intel optimization', add_help=False)
parser.add_argument('--dpm', action='store_true', help='Enable DPMSolver or not')
parser.add_argument('--steps', default=None, type=int, help='Num inference steps')
lowercase						:      Tuple									= parser.parse_args()


lowercase						:      str									= 'cpu'
lowercase						:      List[Any]									= 'a lovely <dicoo> in red dress and hat, in the snowly and brightly night, with many brighly buildings'

lowercase						:      Any									= 'path-to-your-trained-model'
lowercase						:      List[Any]									= StableDiffusionPipeline.from_pretrained(model_id)
if args.dpm:
		lowercase						:      Any									= DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
lowercase						:      Dict									= pipe.to(device)

# to channels last
lowercase						:      int									= pipe.unet.to(memory_format=torch.channels_last)
lowercase						:      int									= pipe.vae.to(memory_format=torch.channels_last)
lowercase						:      Dict									= pipe.text_encoder.to(memory_format=torch.channels_last)
if pipe.requires_safety_checker:
		lowercase						:      List[str]									= pipe.safety_checker.to(memory_format=torch.channels_last)

# optimize with ipex
lowercase						:      Any									= torch.randn(2, 4, 64, 64)
lowercase						:      Union[str, Any]									= torch.rand(1) * 999
lowercase						:      List[Any]									= torch.randn(2, 77, 768)
lowercase						:      List[Any]									= (sample, timestep, encoder_hidden_status)
try:
		lowercase						:      List[Any]									= ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True, sample_input=input_example)
except Exception:
		lowercase						:      str									= ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True)
lowercase						:      Dict									= ipex.optimize(pipe.vae.eval(), dtype=torch.bfloataa, inplace=True)
lowercase						:      str									= ipex.optimize(pipe.text_encoder.eval(), dtype=torch.bfloataa, inplace=True)
if pipe.requires_safety_checker:
		lowercase						:      Dict									= ipex.optimize(pipe.safety_checker.eval(), dtype=torch.bfloataa, inplace=True)

# compute
lowercase						:      Any									= 666
lowercase						:      int									= torch.Generator(device).manual_seed(seed)
lowercase						:      List[str]									= {'generator': generator}
if args.steps is not None:
		lowercase						:      List[str]									= args.steps

with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloataa):
		lowercase						:      Dict									= pipe(prompt, **generate_kwargs).images[0]

# save image
image.save('generated.png')