


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


snake_case    :   str	    =					get_tests_dir('''fixtures''')







class 		_snake_case  (				unittest.TestCase							):




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       # A mock response for an HTTP head request to emulate server down
       a						:List[str]										=	mock.Mock()
       a						:Dict										=	500
       a						:Any										=	{}
       a						:Optional[int]										=	HTTPError
       a						:Union[str, Any]										=	{}

       # Download this model to make sure it's in the cache.
       a						:Union[str, Any]										=	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						:Optional[int]										=	ViTImageProcessor.from_pretrained('''hf-internal-testing/tiny-random-vit'''   )
             # This check we did call the fake head request
             mock_head.assert_called()




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       # This test is for deprecated behavior and can be removed in v5
       a						:Optional[int]										=	ViTImageProcessor.from_pretrained(
           '''https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'''   )




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

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

       self.assertIsNotNone(_lowerCamelCase   )







@is_staging_test
class 		_snake_case  (				unittest.TestCase							):




 @classmethod
 def 	SCREAMING_SNAKE_CASE__    (		cls   ):
       a						:Optional[Any]										=	TOKEN
       HfFolder.save_token(_lowerCamelCase   )




 @classmethod
 def 	SCREAMING_SNAKE_CASE__    (		cls   ):
       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 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:List[Any]										=	ViTImageProcessor.from_pretrained(_lowerCamelCase   )
       image_processor.push_to_hub('''test-image-processor''' ,  use_auth_token=self._token   )

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




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       a						:Dict										=	ViTImageProcessor.from_pretrained(_lowerCamelCase   )
       image_processor.push_to_hub('''valid_org/test-image-processor''' ,  use_auth_token=self._token   )

       a						:str										=	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						:Union[str, Any]										=	ViTImageProcessor.from_pretrained('''valid_org/test-image-processor-org'''   )
       for k, v in image_processor.__dict__.items():
             self.assertEqual(_lowerCamelCase ,  getattr(_lowerCamelCase ,  _lowerCamelCase   )   )




 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       CustomImageProcessor.register_for_auto_class()
       a						:Optional[int]										=	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						:str										=	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'''   )









def     __lowerCamelCase						(			UpperCAmelCase_						:		str						):




      """simple docstring"""





      if n_term == "":
            return []
      a						:list										=	[]
      for temp in range(int(UpperCAmelCase_						)						):
            series.append(F'''1/{temp + 1}''' if series else '''1'''						)
      return series


if __name__ == "__main__":
     snake_case    :   Tuple	    =					input('''Enter the last number (nth term) of the Harmonic Series''')
     print('''Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n''')
     print(harmonic_series(nth_term))





