

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         =  get_tests_dir('fixtures')


class        a__  (							unittest.TestCase  ):


   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





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

      # 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      :				int      					=       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  ):





      """simple docstring"""





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






   def 						_lowerCamelCase       (			self  ):





      """simple docstring"""





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

      _lowercase      :				List[str]      					=       AutoImageProcessor.from_pretrained(
          "hf-internal-testing/stable-diffusion-all-variants"      ,    subfolder="feature_extractor"  )

      self.assertIsNotNone(_a  )




@is_staging_test
class        a__  (							unittest.TestCase  ):


   @classmethod
   def 						_lowerCamelCase       (			cls  ):





      """simple docstring"""





      _lowercase      :				Optional[int]      					=       TOKEN
      HfFolder.save_token(_a  )


   @classmethod
   def 						_lowerCamelCase       (			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 						_lowerCamelCase       (			self  ):





      """simple docstring"""





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

      _lowercase      :				List[str]      					=       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      :				Dict      					=       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  ):





      """simple docstring"""





      _lowercase      :				List[Any]      					=       ViTImageProcessor.from_pretrained(_a  )
      image_processor.push_to_hub("valid_org/test-image-processor"      ,    use_auth_token=self._token  )

      _lowercase      :				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  )

      _lowercase      :				List[str]      					=       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  ):





      """simple docstring"""





      CustomImageProcessor.register_for_auto_class()
      _lowercase      :				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      :				Dict      					=       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 math import pi, sqrt, tan







def  _A		(     snake_case					)      ->     float:
   if side_length < 0:
      raise ValueError("surface_area_cube() only accepts non-negative values"					)
   return 6 * side_length**2







def  _A		(     snake_case		,							snake_case		,							snake_case					)      ->     float:
   if length < 0 or breadth < 0 or height < 0:
      raise ValueError("surface_area_cuboid() only accepts non-negative values"					)
   return 2 * ((length * breadth) + (breadth * height) + (length * height))







def  _A		(     snake_case					)      ->     float:
   if radius < 0:
      raise ValueError("surface_area_sphere() only accepts non-negative values"					)
   return 4 * pi * radius**2







def  _A		(     snake_case					)      ->     float:
   if radius < 0:
      raise ValueError("surface_area_hemisphere() only accepts non-negative values"					)
   return 3 * pi * radius**2







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if radius < 0 or height < 0:
      raise ValueError("surface_area_cone() only accepts non-negative values"					)
   return pi * radius * (radius + (height**2 + radius**2) ** 0.5)







def  _A		(     snake_case		,							snake_case		,							snake_case					)      ->     float:
   if radius_a < 0 or radius_a < 0 or height < 0:
      raise ValueError(
          "surface_area_conical_frustum() only accepts non-negative values"					)
   _lowercase      :				Union[str, Any]      					=       (height**2 + (radius_a - radius_a) ** 2) ** 0.5
   return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if radius < 0 or height < 0:
      raise ValueError("surface_area_cylinder() only accepts non-negative values"					)
   return 2 * pi * radius * (height + radius)







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if torus_radius < 0 or tube_radius < 0:
      raise ValueError("surface_area_torus() only accepts non-negative values"					)
   if torus_radius < tube_radius:
      raise ValueError(
          "surface_area_torus() does not support spindle or self intersecting tori"					)
   return 4 * pow(snake_case		,							2					) * torus_radius * tube_radius







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if length < 0 or width < 0:
      raise ValueError("area_rectangle() only accepts non-negative values"					)
   return length * width







def  _A		(     snake_case					)      ->     float:
   if side_length < 0:
      raise ValueError("area_square() only accepts non-negative values"					)
   return side_length**2







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if base < 0 or height < 0:
      raise ValueError("area_triangle() only accepts non-negative values"					)
   return (base * height) / 2







def  _A		(     snake_case		,							snake_case		,							snake_case					)      ->     float:
   if sidea < 0 or sidea < 0 or sidea < 0:
      raise ValueError("area_triangle_three_sides() only accepts non-negative values"					)
   elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
      raise ValueError("Given three sides do not form a triangle"					)
   _lowercase      :				Any      					=       (sidea + sidea + sidea) / 2
   _lowercase      :				List[str]      					=       sqrt(
       semi_perimeter
       * (semi_perimeter - sidea)
       * (semi_perimeter - sidea)
       * (semi_perimeter - sidea)					)
   return area







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if base < 0 or height < 0:
      raise ValueError("area_parallelogram() only accepts non-negative values"					)
   return base * height







def  _A		(     snake_case		,							snake_case		,							snake_case					)      ->     float:
   if basea < 0 or basea < 0 or height < 0:
      raise ValueError("area_trapezium() only accepts non-negative values"					)
   return 1 / 2 * (basea + basea) * height







def  _A		(     snake_case					)      ->     float:
   if radius < 0:
      raise ValueError("area_circle() only accepts non-negative values"					)
   return pi * radius**2







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if radius_x < 0 or radius_y < 0:
      raise ValueError("area_ellipse() only accepts non-negative values"					)
   return pi * radius_x * radius_y







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if diagonal_a < 0 or diagonal_a < 0:
      raise ValueError("area_rhombus() only accepts non-negative values"					)
   return 1 / 2 * diagonal_a * diagonal_a







def  _A		(     snake_case		,							snake_case					)      ->     float:
   if not isinstance(snake_case		,							snake_case					) or sides < 3:
      raise ValueError(
          "area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides"					)
   elif length < 0:
      raise ValueError(
          "area_reg_polygon() only accepts non-negative values as \
length of a side"					)
   return (sides * length**2) / (4 * tan(pi / sides					))
   return (sides * length**2) / (4 * tan(pi / sides					))


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

    print('[DEMO] Areas of various geometric shapes: \n')
    print(F'''Rectangle: {area_rectangle(10, 20) = }''')
    print(F'''Square: {area_square(10) = }''')
    print(F'''Triangle: {area_triangle(10, 10) = }''')
    print(F'''Triangle: {area_triangle_three_sides(5, 12, 13) = }''')
    print(F'''Parallelogram: {area_parallelogram(10, 20) = }''')
    print(F'''Rhombus: {area_rhombus(10, 20) = }''')
    print(F'''Trapezium: {area_trapezium(10, 20, 30) = }''')
    print(F'''Circle: {area_circle(20) = }''')
    print(F'''Ellipse: {area_ellipse(10, 20) = }''')
    print('\nSurface Areas of various geometric shapes: \n')
    print(F'''Cube: {surface_area_cube(20) = }''')
    print(F'''Cuboid: {surface_area_cuboid(10, 20, 30) = }''')
    print(F'''Sphere: {surface_area_sphere(20) = }''')
    print(F'''Hemisphere: {surface_area_hemisphere(20) = }''')
    print(F'''Cone: {surface_area_cone(10, 20) = }''')
    print(F'''Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }''')
    print(F'''Cylinder: {surface_area_cylinder(10, 20) = }''')
    print(F'''Torus: {surface_area_torus(20, 10) = }''')
    print(F'''Equilateral Triangle: {area_reg_polygon(3, 10) = }''')
    print(F'''Square: {area_reg_polygon(4, 10) = }''')
    print(F'''Reqular Pentagon: {area_reg_polygon(5, 10) = }''')






