




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  _lowerCAmelCase     (  unittest.TestCase	):

						def 	__magic_name__(   self		):
								lowerCAmelCase__				:  Any		       =     0

						def 	__magic_name__(   self		):
								lowerCAmelCase__				:  Union[str, Any]		       =     AutoImageProcessor.from_pretrained('''openai/clip-vit-base-patch32'''		)
								self.assertIsInstance(__UpperCAmelCase      ,				__UpperCAmelCase		)

						def 	__magic_name__(   self		):
								with tempfile.TemporaryDirectory() as tmpdirname:
										lowerCAmelCase__				:  Tuple		       =     Path(__UpperCAmelCase		) / '''preprocessor_config.json'''
										lowerCAmelCase__				:  List[str]		       =     Path(__UpperCAmelCase		) / '''config.json'''
										json.dump(
										    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}      ,				open(__UpperCAmelCase      ,				'''w'''		)      ,				)
										json.dump({'''model_type''': '''clip'''}      ,				open(__UpperCAmelCase      ,				'''w'''		)		)

										lowerCAmelCase__				:  int		       =     AutoImageProcessor.from_pretrained(__UpperCAmelCase		)
										self.assertIsInstance(__UpperCAmelCase      ,				__UpperCAmelCase		)

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

										lowerCAmelCase__				:  Optional[int]		       =     AutoImageProcessor.from_pretrained(__UpperCAmelCase		)
										self.assertIsInstance(__UpperCAmelCase      ,				__UpperCAmelCase		)

						def 	__magic_name__(   self		):
								with tempfile.TemporaryDirectory() as tmpdirname:
										lowerCAmelCase__				:  Union[str, Any]		       =     CLIPConfig()

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

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

										config_dict.pop('''image_processor_type'''		)
										lowerCAmelCase__				:  int		       =     CLIPImageProcessor(**__UpperCAmelCase		)

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

										lowerCAmelCase__				:  Dict		       =     AutoImageProcessor.from_pretrained(__UpperCAmelCase		)

										# make sure private variable is not incorrectly saved
										lowerCAmelCase__				:  int		       =     json.loads(config.to_json_string()		)
										self.assertTrue('''_processor_class''' not in dict_as_saved		)

								self.assertIsInstance(__UpperCAmelCase      ,				__UpperCAmelCase		)

						def 	__magic_name__(   self		):
								with tempfile.TemporaryDirectory() as tmpdirname:
										lowerCAmelCase__				:  List[str]		       =     Path(__UpperCAmelCase		) / '''preprocessor_config.json'''
										json.dump(
										    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}      ,				open(__UpperCAmelCase      ,				'''w'''		)      ,				)

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

						def 	__magic_name__(   self		):
								with self.assertRaisesRegex(
								    __UpperCAmelCase      ,				'''clip-base is not a local folder and is not a valid model identifier'''		):
										lowerCAmelCase__				:  Optional[Any]		       =     AutoImageProcessor.from_pretrained('''clip-base'''		)

						def 	__magic_name__(   self		):
								with self.assertRaisesRegex(
								    __UpperCAmelCase      ,				R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''		):
										lowerCAmelCase__				:  Optional[int]		       =     AutoImageProcessor.from_pretrained(__UpperCAmelCase      ,				revision='''aaaaaa'''		)

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

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

								lowerCAmelCase__				:  Optional[int]		       =     AutoImageProcessor.from_pretrained(
								    '''hf-internal-testing/test_dynamic_image_processor'''      ,				trust_remote_code=__UpperCAmelCase		)
								self.assertEqual(image_processor.__class__.__name__      ,				'''NewImageProcessor'''		)

								# Test image processor can be reloaded.
								with tempfile.TemporaryDirectory() as tmp_dir:
										image_processor.save_pretrained(__UpperCAmelCase		)
										lowerCAmelCase__				:  Union[str, Any]		       =     AutoImageProcessor.from_pretrained(__UpperCAmelCase      ,				trust_remote_code=__UpperCAmelCase		)
								self.assertEqual(reloaded_image_processor.__class__.__name__      ,				'''NewImageProcessor'''		)

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

										with tempfile.TemporaryDirectory() as tmpdirname:
												lowerCAmelCase__				:  str		       =     Path(__UpperCAmelCase		) / '''preprocessor_config.json'''
												lowerCAmelCase__				:  int		       =     Path(__UpperCAmelCase		) / '''config.json'''
												json.dump(
												    {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''}      ,				open(__UpperCAmelCase      ,				'''w'''		)      ,				)
												json.dump({'''model_type''': '''clip'''}      ,				open(__UpperCAmelCase      ,				'''w'''		)		)

												lowerCAmelCase__				:  Optional[Any]		       =     CustomImageProcessor.from_pretrained(__UpperCAmelCase		)

										# 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(__UpperCAmelCase		)
												lowerCAmelCase__				:  Any		       =     AutoImageProcessor.from_pretrained(__UpperCAmelCase		)
												self.assertIsInstance(__UpperCAmelCase      ,				__UpperCAmelCase		)

								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 	__magic_name__(   self		):






								class  _lowerCAmelCase     (  _lowercase	):
														A__		     =		True

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

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







import math



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	float:
  if (
      not isinstance(UpperCamelCase	,      (int, float)      )
      or power_factor < -1
      or power_factor > 1
  ):
    raise ValueError('''power_factor must be a valid float value between -1 and 1.'''      )
  return apparent_power * power_factor



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase      )     ->	float:
  if (
      not isinstance(UpperCamelCase	,      (int, float)      )
      or power_factor < -1
      or power_factor > 1
  ):
    raise ValueError('''power_factor must be a valid float value between -1 and 1.'''      )
  return apparent_power * math.sqrt(1 - power_factor**2      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

