





import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


A       :   List[Any]					= '''http://www.mocksite.com/file1.txt'''
A       :   List[str]					= '''"text": ["foo", "foo"]'''
A       :   List[str]					= '''6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'''


class     A     :
			'''simple docstring'''




			__lowerCamelCase      :			List[Any]							     =       200
			__lowerCamelCase      :			int							     =       {'''Content-Length''': '''100'''}
			__lowerCamelCase      :			Union[str, Any]							     =       {}






			def   a_			(     self  :       Optional[Any]				,      **__lowerCAmelCase  :       List[str]  )      ->      int:







					"""simple docstring"""






					return [bytes(__lowerCAmelCase				,      """utf-8"""  )]







def   __lowerCamelCase   (				*__a  :List[str]       ,	**__a  :List[str]       )						->							str:






		"""simple docstring"""

		return MockResponse()







@pytest.mark.parametrize("""urls_type"""       ,	[str, list, dict]       )
def   __lowerCamelCase   (				__a  :Any       ,	__a  :int       ,	__a  :Dict       )						->							Tuple:






		"""simple docstring"""

		import requests

		monkeypatch.setattr(__a       ,	"""request"""       ,	__a       )

		A__     =  URL
		if issubclass(__a       ,	__a       ):
				A__     =  url
		elif issubclass(__a       ,	__a       ):
				A__     =  [url]
		elif issubclass(__a       ,	__a       ):
				A__     =  {"""train""": url}
		A__     =  """dummy"""
		A__     =  """downloads"""
		A__     =  tmp_path
		A__     =  DownloadConfig(
		    cache_dir=os.path.join(__a       ,	__a       )       ,	use_etag=__a       ,	)
		A__     =  DownloadManager(dataset_name=__a       ,	download_config=__a       )
		A__     =  dl_manager.download(__a       )
		A__     =  urls
		for downloaded_paths in [downloaded_paths]:
				if isinstance(__a       ,	__a       ):
						A__     =  [downloaded_paths]
						A__     =  [urls]
				elif isinstance(__a       ,	__a       ):
						assert "train" in downloaded_paths.keys()
						A__     =  downloaded_paths.values()
						A__     =  urls.values()
				assert downloaded_paths
				for downloaded_path, input_url in zip(__a       ,	__a       ):
						assert downloaded_path == dl_manager.downloaded_paths[input_url]
						A__     =  Path(__a       )
						A__     =  downloaded_path.parts
						assert parts[-1] == HASH
						assert parts[-2] == cache_subdir
						assert downloaded_path.exists()
						A__     =  downloaded_path.read_text()
						assert content == CONTENT
						A__     =  downloaded_path.with_suffix(""".json"""       )
						assert metadata_downloaded_path.exists()
						A__     =  json.loads(metadata_downloaded_path.read_text()       )
						assert metadata_content == {"url": URL, "etag": None}







@pytest.mark.parametrize("""paths_type"""       ,	[str, list, dict]       )
def   __lowerCamelCase   (				__a  :Tuple       ,	__a  :Optional[Any]       ,	__a  :Any       )						->							str:






		"""simple docstring"""

		A__     =  str(__a       )
		if issubclass(__a       ,	__a       ):
				A__     =  filename
		elif issubclass(__a       ,	__a       ):
				A__     =  [filename]
		elif issubclass(__a       ,	__a       ):
				A__     =  {"""train""": filename}
		A__     =  """dummy"""
		A__     =  xz_file.parent
		A__     =  """extracted"""
		A__     =  DownloadConfig(
		    cache_dir=__a       ,	use_etag=__a       ,	)
		A__     =  DownloadManager(dataset_name=__a       ,	download_config=__a       )
		A__     =  dl_manager.extract(__a       )
		A__     =  paths
		for extracted_paths in [extracted_paths]:
				if isinstance(__a       ,	__a       ):
						A__     =  [extracted_paths]
						A__     =  [paths]
				elif isinstance(__a       ,	__a       ):
						assert "train" in extracted_paths.keys()
						A__     =  extracted_paths.values()
						A__     =  paths.values()
				assert extracted_paths
				for extracted_path, input_path in zip(__a       ,	__a       ):
						assert extracted_path == dl_manager.extracted_paths[input_path]
						A__     =  Path(__a       )
						A__     =  extracted_path.parts
						assert parts[-1] == hash_url_to_filename(__a       ,	etag=__a       )
						assert parts[-2] == extracted_subdir
						assert extracted_path.exists()
						A__     =  extracted_path.read_text()
						A__     =  text_file.read_text()
						assert extracted_file_content == expected_file_content







def   __lowerCamelCase   (				__a  :Optional[Any]       ,	__a  :Optional[int]       )						->							Union[str, Any]:






		"""simple docstring"""

		assert path.endswith(""".jsonl"""       )
		for num_items, line in enumerate(__a       ,	start=1       ):
				A__     =  json.loads(line.decode("""utf-8"""       )       )
				assert item.keys() == {"col_1", "col_2", "col_3"}
		assert num_items == 4







@pytest.mark.parametrize("""archive_jsonl"""       ,	["""tar_jsonl_path""", """zip_jsonl_path"""]       )
def   __lowerCamelCase   (				__a  :Any       ,	__a  :Union[str, Any]       )						->							Any:






		"""simple docstring"""

		A__     =  request.getfixturevalue(__a       )
		A__     =  DownloadManager()
		for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__a       )       ,	start=1       ):
				_test_jsonl(__a       ,	__a       )
		assert num_jsonl == 2







@pytest.mark.parametrize("""archive_nested_jsonl"""       ,	["""tar_nested_jsonl_path""", """zip_nested_jsonl_path"""]       )
def   __lowerCamelCase   (				__a  :Optional[Any]       ,	__a  :Tuple       )						->							Dict:






		"""simple docstring"""

		A__     =  request.getfixturevalue(__a       )
		A__     =  DownloadManager()
		for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__a       )       ,	start=1       ):
				for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__a       )       ,	start=1       ):
						_test_jsonl(__a       ,	__a       )
		assert num_tar == 1
		assert num_jsonl == 2







def   __lowerCamelCase   (				__a  :str       )						->							str:






		"""simple docstring"""

		A__     =  DownloadManager()
		for num_file, file in enumerate(dl_manager.iter_files(__a       )       ,	start=1       ):
				assert os.path.basename(__a       ) == ("test.txt" if num_file == 1 else "train.txt")
		assert num_file == 2










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       :   List[Any]					= parser.parse_args()

					A       :   int					= UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

					A       :   Tuple					= CLIPImageProcessor()
					A       :   int					= CLIPVisionModelWithProjection.from_pretrained('''openai/clip-vit-large-patch14''')

					A       :   Tuple					= 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)



