


'''simple docstring'''


import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402





class     lowercase__  (						unittest.TestCase					):





							'''simple docstring'''


							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       Dict     		=      0






							def UpperCAmelCase_	(    self  ):
											_SCREAMING_SNAKE_CASE :       List[str]     		=      AutoImageProcessor.from_pretrained("""openai/clip-vit-base-patch32"""  )
											self.assertIsInstance(lowerCAmelCase__    ,					lowerCAmelCase__  )






							def UpperCAmelCase_	(    self  ):
											with tempfile.TemporaryDirectory() as tmpdirname:
															_SCREAMING_SNAKE_CASE :       List[str]     		=      Path(lowerCAmelCase__  ) / "preprocessor_config.json"
															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      Path(lowerCAmelCase__  ) / "config.json"
															json.dump(
															    {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )    ,					)
															json.dump({"""model_type""": """clip"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )  )

															_SCREAMING_SNAKE_CASE :       Dict     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__  )
															self.assertIsInstance(lowerCAmelCase__    ,					lowerCAmelCase__  )






							def UpperCAmelCase_	(    self  ):
											# Ensure we can load the image processor from the feature extractor config
											with tempfile.TemporaryDirectory() as tmpdirname:
															_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      Path(lowerCAmelCase__  ) / "preprocessor_config.json"
															_SCREAMING_SNAKE_CASE :       str     		=      Path(lowerCAmelCase__  ) / "config.json"
															json.dump(
															    {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )    ,					)
															json.dump({"""model_type""": """clip"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )  )

															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__  )
															self.assertIsInstance(lowerCAmelCase__    ,					lowerCAmelCase__  )






							def UpperCAmelCase_	(    self  ):
											with tempfile.TemporaryDirectory() as tmpdirname:
															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      CLIPConfig()

															# Create a dummy config file with image_proceesor_type
															_SCREAMING_SNAKE_CASE :       List[str]     		=      Path(lowerCAmelCase__  ) / "preprocessor_config.json"
															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      Path(lowerCAmelCase__  ) / "config.json"
															json.dump(
															    {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )    ,					)
															json.dump({"""model_type""": """clip"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )  )

															# remove image_processor_type to make sure config.json alone is enough to load image processor locally
															_SCREAMING_SNAKE_CASE :       List[str]     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__  ).to_dict()

															config_dict.pop("""image_processor_type"""  )
															_SCREAMING_SNAKE_CASE :       Optional[int]     		=      CLIPImageProcessor(**lowerCAmelCase__  )

															# save in new folder
															model_config.save_pretrained(lowerCAmelCase__  )
															config.save_pretrained(lowerCAmelCase__  )

															_SCREAMING_SNAKE_CASE :       str     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__  )

															# make sure private variable is not incorrectly saved
															_SCREAMING_SNAKE_CASE :       List[Any]     		=      json.loads(config.to_json_string()  )
															self.assertTrue("""_processor_class""" not in dict_as_saved  )

											self.assertIsInstance(lowerCAmelCase__    ,					lowerCAmelCase__  )






							def UpperCAmelCase_	(    self  ):
											with tempfile.TemporaryDirectory() as tmpdirname:
															_SCREAMING_SNAKE_CASE :       Dict     		=      Path(lowerCAmelCase__  ) / "preprocessor_config.json"
															json.dump(
															    {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )    ,					)

															_SCREAMING_SNAKE_CASE :       List[Any]     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__  )
															self.assertIsInstance(lowerCAmelCase__    ,					lowerCAmelCase__  )






							def UpperCAmelCase_	(    self  ):
											with self.assertRaisesRegex(
											    lowerCAmelCase__    ,					"""clip-base is not a local folder and is not a valid model identifier"""  ):
															_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      AutoImageProcessor.from_pretrained("""clip-base"""  )






							def UpperCAmelCase_	(    self  ):
											with self.assertRaisesRegex(
											    lowerCAmelCase__    ,					r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""  ):
															_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__    ,					revision="""aaaaaa"""  )






							def UpperCAmelCase_	(    self  ):
											with self.assertRaisesRegex(
											    lowerCAmelCase__    ,					"""hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json."""    ,					):
															_SCREAMING_SNAKE_CASE :       Optional[int]     		=      AutoImageProcessor.from_pretrained("""hf-internal-testing/config-no-model"""  )






							def UpperCAmelCase_	(    self  ):
											# If remote code is not set, we will time out when asking whether to load the model.
											with self.assertRaises(lowerCAmelCase__  ):
															_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      AutoImageProcessor.from_pretrained("""hf-internal-testing/test_dynamic_image_processor"""  )
											# If remote code is disabled, we can't load this config.
											with self.assertRaises(lowerCAmelCase__  ):
															_SCREAMING_SNAKE_CASE :       Tuple     		=      AutoImageProcessor.from_pretrained(
															    """hf-internal-testing/test_dynamic_image_processor"""    ,					trust_remote_code=lowerCAmelCase__  )

											_SCREAMING_SNAKE_CASE :       Tuple     		=      AutoImageProcessor.from_pretrained(
											    """hf-internal-testing/test_dynamic_image_processor"""    ,					trust_remote_code=lowerCAmelCase__  )
											self.assertEqual(image_processor.__class__.__name__    ,					"""NewImageProcessor"""  )

											# Test image processor can be reloaded.
											with tempfile.TemporaryDirectory() as tmp_dir:
															image_processor.save_pretrained(lowerCAmelCase__  )
															_SCREAMING_SNAKE_CASE :       Dict     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__    ,					trust_remote_code=lowerCAmelCase__  )
											self.assertEqual(reloaded_image_processor.__class__.__name__    ,					"""NewImageProcessor"""  )






							def UpperCAmelCase_	(    self  ):
											try:
															AutoConfig.register("""custom"""    ,					lowerCAmelCase__  )
															AutoImageProcessor.register(lowerCAmelCase__    ,					lowerCAmelCase__  )
															# Trying to register something existing in the Transformers library will raise an error
															with self.assertRaises(lowerCAmelCase__  ):
																			AutoImageProcessor.register(lowerCAmelCase__    ,					lowerCAmelCase__  )

															with tempfile.TemporaryDirectory() as tmpdirname:
																			_SCREAMING_SNAKE_CASE :       List[Any]     		=      Path(lowerCAmelCase__  ) / "preprocessor_config.json"
																			_SCREAMING_SNAKE_CASE :       Any     		=      Path(lowerCAmelCase__  ) / "config.json"
																			json.dump(
																			    {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )    ,					)
																			json.dump({"""model_type""": """clip"""}    ,					open(lowerCAmelCase__    ,					"""w"""  )  )

																			_SCREAMING_SNAKE_CASE :       Optional[int]     		=      CustomImageProcessor.from_pretrained(lowerCAmelCase__  )

															# Now that the config is registered, it can be used as any other config with the auto-API
															with tempfile.TemporaryDirectory() as tmp_dir:
																			image_processor.save_pretrained(lowerCAmelCase__  )
																			_SCREAMING_SNAKE_CASE :       List[Any]     		=      AutoImageProcessor.from_pretrained(lowerCAmelCase__  )
																			self.assertIsInstance(lowerCAmelCase__    ,					lowerCAmelCase__  )

											finally:
															if "custom" in CONFIG_MAPPING._extra_content:
																			del CONFIG_MAPPING._extra_content["custom"]
															if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
																			del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]






							def UpperCAmelCase_	(    self  ):





											class     lowercase__  (						a__					):





																		'''simple docstring'''


																		A_							:      Tuple      	=  True

											try:
															AutoConfig.register("""custom"""    ,					lowerCAmelCase__  )
															AutoImageProcessor.register(lowerCAmelCase__    ,					lowerCAmelCase__  )
															# If remote code is not set, the default is to use local
															_SCREAMING_SNAKE_CASE :       Tuple     		=      AutoImageProcessor.from_pretrained("""hf-internal-testing/test_dynamic_image_processor"""  )
															self.assertEqual(image_processor.__class__.__name__    ,					"""NewImageProcessor"""  )
															self.assertTrue(image_processor.is_local  )

															# If remote code is disabled, we load the local one.
															_SCREAMING_SNAKE_CASE :       Optional[int]     		=      AutoImageProcessor.from_pretrained(
															    """hf-internal-testing/test_dynamic_image_processor"""    ,					trust_remote_code=lowerCAmelCase__  )
															self.assertEqual(image_processor.__class__.__name__    ,					"""NewImageProcessor"""  )
															self.assertTrue(image_processor.is_local  )

															# If remote is enabled, we load from the Hub
															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      AutoImageProcessor.from_pretrained(
															    """hf-internal-testing/test_dynamic_image_processor"""    ,					trust_remote_code=lowerCAmelCase__  )
															self.assertEqual(image_processor.__class__.__name__    ,					"""NewImageProcessor"""  )
															self.assertTrue(not hasattr(lowerCAmelCase__    ,					"""is_local"""  )  )

											finally:
															if "custom" in CONFIG_MAPPING._extra_content:
																			del CONFIG_MAPPING._extra_content["custom"]
															if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
																			del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]











"""simple docstring"""




from datetime import datetime

import requests






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    str					) ->bytes:






	'''simple docstring'''






	a      :		Dict	=				"https://downloadgram.net/wp-json/wppress/video-downloader/video?url="
	a      :		Dict	=				requests.get(base_url + url					).json()[0]["urls"][0]["src"]
	return requests.get(_lowercase					).content


if __name__ == "__main__":
		a						: str     	=			input('''Enter Video/IGTV url: ''').strip()
		a						: Any     	=			F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.mp4'''
		with open(file_name, '''wb''') as fp:
				fp.write(download_video(url))
		print(F'''Done. Video saved to disk as {file_name}.''')


