






'''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


UpperCamelCase__ =			get_tests_dir('fixtures')


class        _UpperCAmelCase						(		unittest.TestCase			):




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]			):






       '''simple docstring'''






       lowercase_	:    Any           =     mock.Mock()
       lowercase_	:    Optional[int]           =     5_0_0
       lowercase_	:    Union[str, Any]           =     {}
       lowercase_	:    Optional[int]           =     HTTPError
       lowercase_	:    Dict           =     {}

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




    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






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





    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






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

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

       self.assertIsNotNone(a			)


@is_staging_test
class        _UpperCAmelCase						(		unittest.TestCase			):




    @classmethod
    def 				lowerCAmelCase__				(			cls  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    Union[str, Any]           =     TOKEN
       HfFolder.save_token(a			)




    @classmethod
    def 				lowerCAmelCase__				(			cls  :       List[Any]			):






       '''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 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






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

       lowercase_	:    Optional[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			)

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




    def 				lowerCAmelCase__				(			self  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    Union[str, Any]           =     ViTImageProcessor.from_pretrained(a			)
       image_processor.push_to_hub("valid_org/test-image-processor"  ,     use_auth_token=self._token			)

       lowercase_	:    Any           =     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			)

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





    def 				lowerCAmelCase__				(			self  :       Any			):






       '''simple docstring'''






       CustomImageProcessor.register_for_auto_class()
       lowercase_	:    List[str]           =     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"}  ,     )

       lowercase_	:    Union[str, 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'''
import heapq as hq
import math
from collections.abc import Iterator


class        _UpperCAmelCase						:




    def __init__(			self  :       Optional[Any]  ,     a  :       Any			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     str(id_			)
       lowercase_	:    List[str]           =     None
       lowercase_	:    Tuple           =     None
       lowercase_	:    Dict           =     []
       lowercase_	:    Union[str, Any]           =     {}  # {vertex:distance}




    def __lt__(			self  :       Optional[Any]  ,     a  :       int			):






       '''simple docstring'''






       return self.key < other.key




    def __repr__(			self  :       Union[str, Any]			):






       '''simple docstring'''






       return self.id




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       Optional[int]			):






       '''simple docstring'''






       self.neighbors.append(a			)





    def 				lowerCAmelCase__				(			self  :       Dict  ,     a  :       int  ,     a  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    int           =     weight




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   graph[a - 1].add_neighbor(graph[b - 1]							)
   graph[b - 1].add_neighbor(graph[a - 1]							)
   # add the edges:
   graph[a - 1].add_edge(graph[b - 1]						,		_UpperCamelCase							)
   graph[b - 1].add_edge(graph[a - 1]						,		_UpperCamelCase							)




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    Any           =     []
   for u in graph:
      lowercase_	:    List[Any]           =     math.inf
      lowercase_	:    str           =     None
   lowercase_	:    Tuple           =     0
   lowercase_	:    Tuple           =     graph[:]
   while q:
      lowercase_	:    List[Any]           =     min(_UpperCamelCase							)
      q.remove(_UpperCamelCase							)
      for v in u.neighbors:
         if (v in q) and (u.edges[v.id] < v.key):
            lowercase_	:    Optional[int]           =     u
            lowercase_	:    Union[str, Any]           =     u.edges[v.id]
   for i in range(1						,		len(_UpperCamelCase							)							):
      a.append((int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)							)
   return a




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   for u in graph:
      lowercase_	:    str           =     math.inf
      lowercase_	:    int           =     None
   lowercase_	:    List[Any]           =     0

   lowercase_	:    str           =     list(_UpperCamelCase							)
   hq.heapify(_UpperCamelCase							)

   while h:
      lowercase_	:    List[Any]           =     hq.heappop(_UpperCamelCase							)
      for v in u.neighbors:
         if (v in h) and (u.edges[v.id] < v.key):
            lowercase_	:    str           =     u
            lowercase_	:    Optional[int]           =     u.edges[v.id]
            hq.heapify(_UpperCamelCase							)

   for i in range(1						,		len(_UpperCamelCase							)							):
      yield (int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)




def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""






if __name__ == "__main__":
 import doctest

 doctest.testmod()




