



import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


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

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


_lowercase: Dict      			=		get_tests_dir("fixtures")



class 	_lowercase							(   unittest.TestCase	):





	"""simple docstring"""




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   mock.Mock()
						a					     =   500
						a					     =   {}
						a					     =   HTTPError
						a					     =   {}

						# Download this model to make sure it's in the cache.
						a					     =   ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit"		)
						# Under the mock environment we get a 500 error when trying to reach the model.
						with mock.patch("requests.Session.request"		,       return_value=lowerCamelCase_		) as mock_head:
											a					     =   ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit"		)
											# This check we did call the fake head request
											mock_head.assert_called()




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   ViTImageProcessor.from_pretrained(
						    "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json"		)




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						with self.assertRaises(lowerCamelCase_		):
											# config is in subfolder, the following should not work without specifying the subfolder
											a					     =   AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants"		)

						a					     =   AutoImageProcessor.from_pretrained(
						    "hf-internal-testing/stable-diffusion-all-variants"		,       subfolder="feature_extractor"		)

						self.assertIsNotNone(lowerCamelCase_		)




@is_staging_test
class 	_lowercase							(   unittest.TestCase	):





	"""simple docstring"""




	@classmethod
	def      UpperCamelCase_       (cls		):
						"""simple docstring"""

						a					     =   TOKEN
						HfFolder.save_token(lowerCamelCase_		)




	@classmethod
	def      UpperCamelCase_       (cls		):
						"""simple docstring"""

						try:
											delete_repo(token=cls._token		,       repo_id="test-image-processor"		)
						except HTTPError:
											pass

						try:
											delete_repo(token=cls._token		,       repo_id="valid_org/test-image-processor-org"		)
						except HTTPError:
											pass

						try:
											delete_repo(token=cls._token		,       repo_id="test-dynamic-image-processor"		)
						except HTTPError:
											pass




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   ViTImageProcessor.from_pretrained(lowerCamelCase_		)
						image_processor.push_to_hub("test-image-processor"		,       use_auth_token=self._token		)

						a					     =   ViTImageProcessor.from_pretrained(F'''{USER}/test-image-processor'''		)
						for k, v in image_processor.__dict__.items():
											self.assertEqual(lowerCamelCase_		,       getattr(lowerCamelCase_		,       lowerCamelCase_		)		)

						# Reset repo
						delete_repo(token=self._token		,       repo_id="test-image-processor"		)

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
											image_processor.save_pretrained(
											    lowerCamelCase_		,       repo_id="test-image-processor"		,       push_to_hub=lowerCamelCase_		,       use_auth_token=self._token		)

						a					     =   ViTImageProcessor.from_pretrained(F'''{USER}/test-image-processor'''		)
						for k, v in image_processor.__dict__.items():
											self.assertEqual(lowerCamelCase_		,       getattr(lowerCamelCase_		,       lowerCamelCase_		)		)




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   ViTImageProcessor.from_pretrained(lowerCamelCase_		)
						image_processor.push_to_hub("valid_org/test-image-processor"		,       use_auth_token=self._token		)

						a					     =   ViTImageProcessor.from_pretrained("valid_org/test-image-processor"		)
						for k, v in image_processor.__dict__.items():
											self.assertEqual(lowerCamelCase_		,       getattr(lowerCamelCase_		,       lowerCamelCase_		)		)

						# Reset repo
						delete_repo(token=self._token		,       repo_id="valid_org/test-image-processor"		)

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
											image_processor.save_pretrained(
											    lowerCamelCase_		,       repo_id="valid_org/test-image-processor-org"		,       push_to_hub=lowerCamelCase_		,       use_auth_token=self._token		)

						a					     =   ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org"		)
						for k, v in image_processor.__dict__.items():
											self.assertEqual(lowerCamelCase_		,       getattr(lowerCamelCase_		,       lowerCamelCase_		)		)




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						CustomImageProcessor.register_for_auto_class()
						a					     =   CustomImageProcessor.from_pretrained(lowerCamelCase_		)

						image_processor.push_to_hub("test-dynamic-image-processor"		,       use_auth_token=self._token		)

						# This has added the proper auto_map field to the config
						self.assertDictEqual(
						    image_processor.auto_map		,       {"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"}		,       )

						a					     =   AutoImageProcessor.from_pretrained(
						    F'''{USER}/test-dynamic-image-processor'''		,       trust_remote_code=lowerCamelCase_		)
						# Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
						self.assertEqual(new_image_processor.__class__.__name__		,       "CustomImageProcessor"		)





import cmath
import math






def     a(      A       :    float ,     A       :    float ,     A       :    float ,     A       :    float       )		->       complex:
					"""simple docstring"""





					a					     =   math.radians(A       )
					a					     =   math.radians(A       )

					# Convert voltage and current to rectangular form
					a					     =   cmath.rect(A ,     A       )
					a					     =   cmath.rect(A ,     A       )

					# Calculate apparent power
					return voltage_rect * current_rect


if __name__ == "__main__":
				import doctest

				doctest.testmod()
