


'''simple docstring'''





import argparse
import json

import torch

from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel







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

		'''simple docstring'''







		__lowercase=    UNetaDModel(**lowercase__			)
		__lowercase=    checkpoint["all_modules.0.W"].data
		__lowercase=    checkpoint["all_modules.0.W"].data
		__lowercase=    checkpoint["all_modules.1.weight"].data
		__lowercase=    checkpoint["all_modules.1.bias"].data

		__lowercase=    checkpoint["all_modules.2.weight"].data
		__lowercase=    checkpoint["all_modules.2.bias"].data

		__lowercase=    checkpoint["all_modules.3.weight"].data
		__lowercase=    checkpoint["all_modules.3.bias"].data

		__lowercase=    checkpoint[list(checkpoint.keys()			)[-4]].data
		__lowercase=    checkpoint[list(checkpoint.keys()			)[-3]].data
		__lowercase=    checkpoint[list(checkpoint.keys()			)[-2]].data
		__lowercase=    checkpoint[list(checkpoint.keys()			)[-1]].data

		__lowercase=    4

		def set_attention_weights(lowercase__     ,				lowercase__     ,				lowercase__			):
				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_0.W'].data.T
				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_1.W'].data.T
				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_2.W'].data.T

				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_0.b'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_1.b'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_2.b'].data

				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_3.W'].data.T
				__lowercase=    old_checkpoint[F'all_modules.{index}.NIN_3.b'].data

				__lowercase=    old_checkpoint[F'all_modules.{index}.GroupNorm_0.weight'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.GroupNorm_0.bias'].data

		def set_resnet_weights(lowercase__     ,				lowercase__     ,				lowercase__			):
				__lowercase=    old_checkpoint[F'all_modules.{index}.Conv_0.weight'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.Conv_0.bias'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.GroupNorm_0.weight'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.GroupNorm_0.bias'].data

				__lowercase=    old_checkpoint[F'all_modules.{index}.Conv_1.weight'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.Conv_1.bias'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.GroupNorm_1.weight'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.GroupNorm_1.bias'].data

				__lowercase=    old_checkpoint[F'all_modules.{index}.Dense_0.weight'].data
				__lowercase=    old_checkpoint[F'all_modules.{index}.Dense_0.bias'].data

				if new_layer.in_channels != new_layer.out_channels or new_layer.up or new_layer.down:
						__lowercase=    old_checkpoint[F'all_modules.{index}.Conv_2.weight'].data
						__lowercase=    old_checkpoint[F'all_modules.{index}.Conv_2.bias'].data

		for i, block in enumerate(new_model_architecture.downsample_blocks			):
				__lowercase=    hasattr(lowercase__     ,				'attentions'			)
				for j in range(len(block.resnets			)			):
						set_resnet_weights(block.resnets[j]     ,				lowercase__     ,				lowercase__			)
						module_index += 1
						if has_attentions:
								set_attention_weights(block.attentions[j]     ,				lowercase__     ,				lowercase__			)
								module_index += 1

				if hasattr(lowercase__     ,				'downsamplers'			) and block.downsamplers is not None:
						set_resnet_weights(block.resnet_down     ,				lowercase__     ,				lowercase__			)
						module_index += 1
						__lowercase=    checkpoint[F'all_modules.{module_index}.Conv_0.weight'].data
						__lowercase=    checkpoint[F'all_modules.{module_index}.Conv_0.bias'].data
						module_index += 1

		set_resnet_weights(new_model_architecture.mid_block.resnets[0]     ,				lowercase__     ,				lowercase__			)
		module_index += 1
		set_attention_weights(new_model_architecture.mid_block.attentions[0]     ,				lowercase__     ,				lowercase__			)
		module_index += 1
		set_resnet_weights(new_model_architecture.mid_block.resnets[1]     ,				lowercase__     ,				lowercase__			)
		module_index += 1

		for i, block in enumerate(new_model_architecture.up_blocks			):
				__lowercase=    hasattr(lowercase__     ,				'attentions'			)
				for j in range(len(block.resnets			)			):
						set_resnet_weights(block.resnets[j]     ,				lowercase__     ,				lowercase__			)
						module_index += 1
				if has_attentions:
						set_attention_weights(
						    block.attentions[0]     ,				lowercase__     ,				lowercase__			)  # why can there only be a single attention layer for up?
						module_index += 1

				if hasattr(lowercase__     ,				'resnet_up'			) and block.resnet_up is not None:
						__lowercase=    checkpoint[F'all_modules.{module_index}.weight'].data
						__lowercase=    checkpoint[F'all_modules.{module_index}.bias'].data
						module_index += 1
						__lowercase=    checkpoint[F'all_modules.{module_index}.weight'].data
						__lowercase=    checkpoint[F'all_modules.{module_index}.bias'].data
						module_index += 1
						set_resnet_weights(block.resnet_up     ,				lowercase__     ,				lowercase__			)
						module_index += 1

		__lowercase=    checkpoint[F'all_modules.{module_index}.weight'].data
		__lowercase=    checkpoint[F'all_modules.{module_index}.bias'].data
		module_index += 1
		__lowercase=    checkpoint[F'all_modules.{module_index}.weight'].data
		__lowercase=    checkpoint[F'all_modules.{module_index}.bias'].data

		return new_model_architecture.state_dict()


if __name__ == "__main__":
	lowerCAmelCase					 =	argparse.ArgumentParser()

	parser.add_argument(
	    '''--checkpoint_path''',
	    default='''/Users/arthurzucker/Work/diffusers/ArthurZ/diffusion_pytorch_model.bin''',
	    type=str,
	    required=False,
	    help='''Path to the checkpoint to convert.''',
	)

	parser.add_argument(
	    '''--config_file''',
	    default='''/Users/arthurzucker/Work/diffusers/ArthurZ/config.json''',
	    type=str,
	    required=False,
	    help='''The config json file corresponding to the architecture.''',
	)

	parser.add_argument(
	    '''--dump_path''',
	    default='''/Users/arthurzucker/Work/diffusers/ArthurZ/diffusion_model_new.pt''',
	    type=str,
	    required=False,
	    help='''Path to the output model.''',
	)

	lowerCAmelCase					 =	parser.parse_args()

	lowerCAmelCase					 =	torch.load(args.checkpoint_path, map_location='''cpu''')

	with open(args.config_file) as f:
		lowerCAmelCase					 =	json.loads(f.read())

	lowerCAmelCase					 =	convert_ncsnpp_checkpoint(
	    checkpoint,
	    config,
	)

	if "sde" in config:
		del config["sde"]

	lowerCAmelCase					 =	UNetaDModel(**config)
	model.load_state_dict(converted_checkpoint)

	try:
		lowerCAmelCase					 =	ScoreSdeVeScheduler.from_config('''/'''.join(args.checkpoint_path.split('''/''')[:-1]))

		lowerCAmelCase					 =	ScoreSdeVePipeline(unet=model, scheduler=scheduler)
		pipe.save_pretrained(args.dump_path)
	except:  # noqa: E722
		model.save_pretrained(args.dump_path)










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    A					(     A_      ,       unittest.TestCase				):
							UpperCamelCase_     :							Tuple =ElectraTokenizer
							UpperCamelCase_     :							Tuple =ElectraTokenizerFast
							UpperCamelCase_     :							Any =True
							UpperCamelCase_     :							List[str] =True
							UpperCamelCase_     :							Any =filter_non_english


							def     _A (self      ):
									super().setUp()

									__lowercase=    [
									    '[UNK]',
									    '[CLS]',
									    '[SEP]',
									    '[PAD]',
									    '[MASK]',
									    'want',
									    '##want',
									    '##ed',
									    'wa',
									    'un',
									    'runn',
									    '##ing',
									    ',',
									    'low',
									    'lowest',
									]
									__lowercase=    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     _A (self   ,       lowerCAmelCase      ):
									__lowercase=    'UNwant\u00E9d,running'
									__lowercase=    'unwanted, running'
									return input_text, output_text


							def     _A (self      ):
									__lowercase=    self.tokenizer_class(self.vocab_file      )

									__lowercase=    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     _A (self      ):
									if not self.test_rust_tokenizer:
											return

									__lowercase=    self.get_tokenizer()
									__lowercase=    self.get_rust_tokenizer()

									__lowercase=    'UNwant\u00E9d,running'

									__lowercase=    tokenizer.tokenize(lowerCAmelCase      )
									__lowercase=    rust_tokenizer.tokenize(lowerCAmelCase      )
									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )

									__lowercase=    tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
									__lowercase=    rust_tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )

									__lowercase=    self.get_rust_tokenizer()
									__lowercase=    tokenizer.encode(lowerCAmelCase      )
									__lowercase=    rust_tokenizer.encode(lowerCAmelCase      )
									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )

									# With lower casing
									__lowercase=    self.get_tokenizer(do_lower_case=lowerCAmelCase      )
									__lowercase=    self.get_rust_tokenizer(do_lower_case=lowerCAmelCase      )

									__lowercase=    'UNwant\u00E9d,running'

									__lowercase=    tokenizer.tokenize(lowerCAmelCase      )
									__lowercase=    rust_tokenizer.tokenize(lowerCAmelCase      )
									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )

									__lowercase=    tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
									__lowercase=    rust_tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )

									__lowercase=    self.get_rust_tokenizer()
									__lowercase=    tokenizer.encode(lowerCAmelCase      )
									__lowercase=    rust_tokenizer.encode(lowerCAmelCase      )
									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )


							def     _A (self      ):
									__lowercase=    BasicTokenizer()

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


							def     _A (self      ):
									__lowercase=    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     _A (self      ):
									__lowercase=    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     _A (self      ):
									__lowercase=    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     _A (self      ):
									__lowercase=    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     _A (self      ):
									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase      )

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


							def     _A (self      ):
									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       strip_accents=lowerCAmelCase      )

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


							def     _A (self      ):
									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       strip_accents=lowerCAmelCase      )

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


							def     _A (self      ):
									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       never_split=['[UNK]']      )

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


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

									__lowercase=    {}
									for i, token in enumerate(lowerCAmelCase      ):
											__lowercase=    i
									__lowercase=    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     _A (self      ):
									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     _A (self      ):
									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     _A (self      ):
									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     _A (self      ):
									__lowercase=    self.get_tokenizer()
									__lowercase=    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     _A (self      ):
									__lowercase=    self.tokenizer_class.from_pretrained('google/electra-base-discriminator'      )

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

									__lowercase=    tokenizer.build_inputs_with_special_tokens(lowerCAmelCase      )
									__lowercase=    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     _A (self      ):
									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=    f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
													__lowercase=    tokenizer_r.encode_plus(
													    lowerCAmelCase   ,       return_attention_mask=lowerCAmelCase   ,       return_token_type_ids=lowerCAmelCase   ,       return_offsets_mapping=lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase   ,       )

													__lowercase=    tokenizer_r.do_lower_case if hasattr(lowerCAmelCase   ,       'do_lower_case'      ) else False
													__lowercase=    (
													    [
													        ((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     _A (self      ):
									__lowercase=    ['的', '人', '有']
									__lowercase=    ''.join(lowerCAmelCase      )
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'      ):
													__lowercase=    True
													__lowercase=    self.tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
													__lowercase=    self.rust_tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )

													__lowercase=    tokenizer_p.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
													__lowercase=    tokenizer_r.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )

													__lowercase=    tokenizer_r.convert_ids_to_tokens(lowerCAmelCase      )
													__lowercase=    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      )

													__lowercase=    False
													__lowercase=    self.rust_tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
													__lowercase=    self.tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )

													__lowercase=    tokenizer_r.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
													__lowercase=    tokenizer_p.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )

													__lowercase=    tokenizer_r.convert_ids_to_tokens(lowerCAmelCase      )
													__lowercase=    tokenizer_p.convert_ids_to_tokens(lowerCAmelCase      )

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






