




"""simple docstring"""


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


A_      =    get_tests_dir('''fixtures''')






class  lowercase(					unittest.TestCase			):







 '''simple docstring'''





 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		Dict								=  mock.Mock()
   _snake_case							:		List[str]								=  500
   _snake_case							:		Dict								=  {}
   _snake_case							:		Optional[Any]								=  HTTPError
   _snake_case							:		List[Any]								=  {}

   # Download this model to make sure it's in the cache.
   _snake_case							:		int								=  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=a_		) as mock_head:
     _snake_case							:		Dict								=  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:		Any		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  ViTImageProcessor.from_pretrained(
       """https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json"""		)


 def 			UpperCamelCase_       (    self:		Dict		):




   '''simple docstring'''



   with self.assertRaises(a_		):
     # config is in subfolder, the following should not work without specifying the subfolder
     _snake_case							:		Union[str, Any]								=  AutoImageProcessor.from_pretrained("""hf-internal-testing/stable-diffusion-all-variants"""		)

   _snake_case							:		Optional[Any]								=  AutoImageProcessor.from_pretrained(
       """hf-internal-testing/stable-diffusion-all-variants""",				subfolder="""feature_extractor"""		)

   self.assertIsNotNone(a_		)







@is_staging_test
class  lowercase(					unittest.TestCase			):







 '''simple docstring'''





 @classmethod
 def 			UpperCamelCase_       (    cls:		int		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  TOKEN
   HfFolder.save_token(a_		)


 @classmethod
 def 			UpperCamelCase_       (    cls:		Tuple		):




   '''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:		int		):




   '''simple docstring'''



   _snake_case							:		Any								=  ViTImageProcessor.from_pretrained(a_		)
   image_processor.push_to_hub("""test-image-processor""",				use_auth_token=self._token		)

   _snake_case							:		int								=  ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor"		)
   for k, v in image_processor.__dict__.items():
     self.assertEqual(a_,				getattr(a_,				a_		)		)

   # 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(
         a_,				repo_id="""test-image-processor""",				push_to_hub=a_,				use_auth_token=self._token		)

   _snake_case							:		Any								=  ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor"		)
   for k, v in image_processor.__dict__.items():
     self.assertEqual(a_,				getattr(a_,				a_		)		)


 def 			UpperCamelCase_       (    self:		Dict		):




   '''simple docstring'''



   _snake_case							:		int								=  ViTImageProcessor.from_pretrained(a_		)
   image_processor.push_to_hub("""valid_org/test-image-processor""",				use_auth_token=self._token		)

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

   # 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(
         a_,				repo_id="""valid_org/test-image-processor-org""",				push_to_hub=a_,				use_auth_token=self._token		)

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


 def 			UpperCamelCase_       (    self:		int		):




   '''simple docstring'''



   CustomImageProcessor.register_for_auto_class()
   _snake_case							:		int								=  CustomImageProcessor.from_pretrained(a_		)

   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"""},				)

   _snake_case							:		Optional[Any]								=  AutoImageProcessor.from_pretrained(
       f"{USER}/test-dynamic-image-processor",				trust_remote_code=a_		)
   # 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"""		)








"""simple docstring"""


from typing import Any






class  lowercase:







 '''simple docstring'''





 def __init__(    self:		Dict,				a_:		Any		):




   '''simple docstring'''



   _snake_case							:		Dict								=  data
   _snake_case							:		Optional[Any]								=  None







class  lowercase:







 '''simple docstring'''





 def __init__(    self:		str		):




   '''simple docstring'''



   _snake_case							:		Any								=  None


 def 			UpperCamelCase_       (    self:		Any		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.head
   while temp is not None:
     print(temp.data,				end=""" """		)
     _snake_case							:		int								=  temp.next
   print()


 def 			UpperCamelCase_       (    self:		Union[str, Any],				a_:		Any		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  Node(a_		)
   _snake_case							:		Union[str, Any]								=  self.head
   _snake_case							:		List[Any]								=  new_node


 def 			UpperCamelCase_       (    self:		Tuple,				a_:		List[str],				a_:		Union[str, Any]		):




   '''simple docstring'''



   if node_data_a == node_data_a:
     return
   else:
     _snake_case							:		int								=  self.head
     while node_a is not None and node_a.data != node_data_a:
       _snake_case							:		List[Any]								=  node_a.next

     _snake_case							:		List[Any]								=  self.head
     while node_a is not None and node_a.data != node_data_a:
       _snake_case							:		List[Any]								=  node_a.next

     if node_a is None or node_a is None:
       return

     _snake_case		, _snake_case							:		int								=  node_a.data, node_a.data


if __name__ == "__main__":
     A_      =    LinkedList()
     for i in range(5, 0, -1):
          ll.push(i)

     ll.print_list()

     ll.swap_nodes(1, 4)
     print('''After swapping''')
     ll.print_list()


