






'''simple docstring'''







import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin

class _lowercase     (    _lowercase    ,				unittest.TestCase		):
							a    				=	ProphetNetTokenizer
							a    				=	False




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														super().setUp()

														lowerCamelCase__ :     List[str]	  =	[
														    """[UNK]""",
														    """[CLS]""",
														    """[SEP]""",
														    """[PAD]""",
														    """[MASK]""",
														    """want""",
														    """##want""",
														    """##ed""",
														    """wa""",
														    """un""",
														    """runn""",
														    """##ing""",
														    """,""",
														    """low""",
														    """lowest""",
														]
														lowerCamelCase__ :     Optional[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 		lowerCamelCase_    (							self:    str      ,							UpperCamelCase__:    int					):
														lowerCamelCase__ :     Optional[Any]	  =	"""UNwant\u00E9d,running"""
														lowerCamelCase__ :     Optional[int]	  =	"""unwanted, running"""
														return input_text, output_text




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     List[str]	  =	self.tokenizer_class(self.vocab_file					)

														lowerCamelCase__ :     Optional[int]	  =	tokenizer.tokenize("""UNwant\u00E9d,running"""					)
														self.assertListEqual(UpperCamelCase__      ,							["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]					)
														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__					)      ,							[9, 6, 7, 12, 10, 11]					)




							def 		lowerCamelCase_    (							self:    Optional[Any]					):
														lowerCamelCase__ :     Tuple	  =	BasicTokenizer()

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




							def 		lowerCamelCase_    (							self:    List[str]					):
														lowerCamelCase__ :     str	  =	BasicTokenizer(do_lower_case=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     Dict	  =	BasicTokenizer(do_lower_case=UpperCamelCase__      ,							strip_accents=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     str	  =	BasicTokenizer(do_lower_case=UpperCamelCase__      ,							strip_accents=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    Tuple					):
														lowerCamelCase__ :     List[str]	  =	BasicTokenizer(do_lower_case=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     Tuple	  =	BasicTokenizer(do_lower_case=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    List[Any]					):
														lowerCamelCase__ :     str	  =	BasicTokenizer(do_lower_case=UpperCamelCase__      ,							strip_accents=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    List[str]					):
														lowerCamelCase__ :     Any	  =	BasicTokenizer(do_lower_case=UpperCamelCase__      ,							strip_accents=UpperCamelCase__					)

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




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     int	  =	BasicTokenizer(do_lower_case=UpperCamelCase__      ,							never_split=["""[UNK]"""]					)

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




							def 		lowerCamelCase_    (							self:    Dict					):
														lowerCamelCase__ :     Tuple	  =	["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

														lowerCamelCase__ :     Optional[Any]	  =	{}
														for i, token in enumerate(UpperCamelCase__					):
																					lowerCamelCase__ :     Tuple	  =	i
														lowerCamelCase__ :     Tuple	  =	WordpieceTokenizer(vocab=UpperCamelCase__      ,							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"""]					)




							@require_torch
							def 		lowerCamelCase_    (							self:    Dict					):
														lowerCamelCase__ :     int	  =	self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""					)

														lowerCamelCase__ :     Tuple	  =	["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
														lowerCamelCase__ :     Any	  =	[1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 102]
														lowerCamelCase__ :     int	  =	tokenizer(UpperCamelCase__      ,							padding=UpperCamelCase__      ,							return_tensors="""pt"""					)
														self.assertIsInstance(UpperCamelCase__      ,							UpperCamelCase__					)
														lowerCamelCase__ :     Dict	  =	list(batch.input_ids.numpy()[0]					)
														self.assertListEqual(UpperCamelCase__      ,							UpperCamelCase__					)

														self.assertEqual((2, 9)      ,							batch.input_ids.shape					)
														self.assertEqual((2, 9)      ,							batch.attention_mask.shape					)




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														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[Any]					):
														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:    Union[str, Any]					):
														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(""" """					)					)




							@slow
							def 		lowerCamelCase_    (							self:    Optional[int]					):
														lowerCamelCase__ :     List[str]	  =	self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""					)

														lowerCamelCase__ :     Dict	  =	tokenizer.encode("""sequence builders"""      ,							add_special_tokens=UpperCamelCase__					)
														lowerCamelCase__ :     Any	  =	tokenizer.encode("""multi-sequence build"""      ,							add_special_tokens=UpperCamelCase__					)

														lowerCamelCase__ :     List[Any]	  =	tokenizer.build_inputs_with_special_tokens(UpperCamelCase__					)
														lowerCamelCase__ :     str	  =	tokenizer.build_inputs_with_special_tokens(UpperCamelCase__      ,							UpperCamelCase__					)

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









'''simple docstring'''







import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
			_A     :      List[Any]   					=argparse.ArgumentParser()

			parser.add_argument('''--dump_path''', default=None, type=str, required=True, help='''Path to the output model.''')

			parser.add_argument(
			    '''--txt2img_unclip''',
			    default='''kakaobrain/karlo-v1-alpha''',
			    type=str,
			    required=False,
			    help='''The pretrained txt2img unclip.''',
			)

			_A     :      Dict   					=parser.parse_args()

			_A     :      List[str]   					=UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

			_A     :      Any   					=CLIPImageProcessor()
			_A     :      Union[str, Any]   					=CLIPVisionModelWithProjection.from_pretrained('''openai/clip-vit-large-patch14''')

			_A     :      Union[str, Any]   					=UnCLIPImageVariationPipeline(
			    decoder=txtaimg.decoder,
			    text_encoder=txtaimg.text_encoder,
			    tokenizer=txtaimg.tokenizer,
			    text_proj=txtaimg.text_proj,
			    feature_extractor=feature_extractor,
			    image_encoder=image_encoder,
			    super_res_first=txtaimg.super_res_first,
			    super_res_last=txtaimg.super_res_last,
			    decoder_scheduler=txtaimg.decoder_scheduler,
			    super_res_scheduler=txtaimg.super_res_scheduler,
			)

			imgaimg.save_pretrained(args.dump_path)

