



"""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 SCREAMING_SNAKE_CASE__					(		unittest.TestCase      ):



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		List[Any]									=       0



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		List[str]									=       AutoImageProcessor.from_pretrained("""openai/clip-vit-base-patch32"""							)
													self.assertIsInstance(_lowercase						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with tempfile.TemporaryDirectory() as tmpdirname:
																				__a		:		int									=       Path(_lowercase							) / """preprocessor_config.json"""
																				__a		:		Dict									=       Path(_lowercase							) / """config.json"""
																				json.dump(
																				    {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}						,     open(_lowercase						,     """w"""							)						,     )
																				json.dump({"""model_type""": """clip"""}						,     open(_lowercase						,     """w"""							)							)

																				__a		:		Optional[int]									=       AutoImageProcessor.from_pretrained(_lowercase							)
																				self.assertIsInstance(_lowercase						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with tempfile.TemporaryDirectory() as tmpdirname:
																				__a		:		Optional[int]									=       Path(_lowercase							) / """preprocessor_config.json"""
																				__a		:		int									=       Path(_lowercase							) / """config.json"""
																				json.dump(
																				    {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}						,     open(_lowercase						,     """w"""							)						,     )
																				json.dump({"""model_type""": """clip"""}						,     open(_lowercase						,     """w"""							)							)

																				__a		:		Union[str, Any]									=       AutoImageProcessor.from_pretrained(_lowercase							)
																				self.assertIsInstance(_lowercase						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with tempfile.TemporaryDirectory() as tmpdirname:
																				__a		:		str									=       CLIPConfig()

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

																				# remove image_processor_type to make sure config.json alone is enough to load image processor locally
																				__a		:		Union[str, Any]									=       AutoImageProcessor.from_pretrained(_lowercase							).to_dict()

																				config_dict.pop("""image_processor_type"""							)
																				__a		:		Union[str, Any]									=       CLIPImageProcessor(**_lowercase							)

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

																				__a		:		int									=       AutoImageProcessor.from_pretrained(_lowercase							)

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

													self.assertIsInstance(_lowercase						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with tempfile.TemporaryDirectory() as tmpdirname:
																				__a		:		Dict									=       Path(_lowercase							) / """preprocessor_config.json"""
																				json.dump(
																				    {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}						,     open(_lowercase						,     """w"""							)						,     )

																				__a		:		Optional[int]									=       AutoImageProcessor.from_pretrained(_lowercase							)
																				self.assertIsInstance(_lowercase						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with self.assertRaisesRegex(
													    _lowercase						,     """clip-base is not a local folder and is not a valid model identifier"""							):
																				__a		:		Optional[Any]									=       AutoImageProcessor.from_pretrained("""clip-base"""							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with self.assertRaisesRegex(
													    _lowercase						,     r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""							):
																				__a		:		Dict									=       AutoImageProcessor.from_pretrained(_lowercase						,     revision="""aaaaaa"""							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

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



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													with self.assertRaises(_lowercase							):
																				__a		:		List[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(_lowercase							):
																				__a		:		List[Any]									=       AutoImageProcessor.from_pretrained(
																				    """hf-internal-testing/test_dynamic_image_processor"""						,     trust_remote_code=_lowercase							)

													__a		:		Optional[Any]									=       AutoImageProcessor.from_pretrained(
													    """hf-internal-testing/test_dynamic_image_processor"""						,     trust_remote_code=_lowercase							)
													self.assertEqual(image_processor.__class__.__name__						,     """NewImageProcessor"""							)

													# Test image processor can be reloaded.
													with tempfile.TemporaryDirectory() as tmp_dir:
																				image_processor.save_pretrained(_lowercase							)
																				__a		:		Optional[Any]									=       AutoImageProcessor.from_pretrained(_lowercase						,     trust_remote_code=_lowercase							)
													self.assertEqual(reloaded_image_processor.__class__.__name__						,     """NewImageProcessor"""							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

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

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

																											__a		:		Optional[Any]									=       CustomImageProcessor.from_pretrained(_lowercase							)

																				# 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(_lowercase							)
																											__a		:		Optional[Any]									=       AutoImageProcessor.from_pretrained(_lowercase							)
																											self.assertIsInstance(_lowercase						,     _lowercase							)

													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     lowerCAmelCase__(self							):





													'''simple docstring'''

													class SCREAMING_SNAKE_CASE__					(		__snake_case      ):
																			_lowerCAmelCase							=					True

													try:
																				AutoConfig.register("""custom"""						,     _lowercase							)
																				AutoImageProcessor.register(_lowercase						,     _lowercase							)
																				# If remote code is not set, the default is to use local
																				__a		:		List[Any]									=       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.
																				__a		:		Union[str, Any]									=       AutoImageProcessor.from_pretrained(
																				    """hf-internal-testing/test_dynamic_image_processor"""						,     trust_remote_code=_lowercase							)
																				self.assertEqual(image_processor.__class__.__name__						,     """NewImageProcessor"""							)
																				self.assertTrue(image_processor.is_local							)

																				# If remote is enabled, we load from the Hub
																				__a		:		Tuple									=       AutoImageProcessor.from_pretrained(
																				    """hf-internal-testing/test_dynamic_image_processor"""						,     trust_remote_code=_lowercase							)
																				self.assertEqual(image_processor.__class__.__name__						,     """NewImageProcessor"""							)
																				self.assertTrue(not hasattr(_lowercase						,     """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"""

def       __magic_name__    (   _lowerCamelCase				: int  ,       _lowerCamelCase				: float  ,       _lowerCamelCase				: float					):
							return round(float(moles / volume					) * nfactor					)





def       __magic_name__    (   _lowerCamelCase				: float  ,       _lowerCamelCase				: float  ,       _lowerCamelCase				: float					):
							return round(float((moles * 0.08_21 * temperature) / (volume)					)					)





def       __magic_name__    (   _lowerCamelCase				: float  ,       _lowerCamelCase				: float  ,       _lowerCamelCase				: float					):
							return round(float((moles * 0.08_21 * temperature) / (pressure)					)					)





def       __magic_name__    (   _lowerCamelCase				: float  ,       _lowerCamelCase				: float  ,       _lowerCamelCase				: float					):
							return round(float((pressure * volume) / (0.08_21 * moles)					)					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()

