
"""simple docstring"""




import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


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

from test_module.custom_configuration import CustomConfig  # noqa E402


UpperCAmelCase__   :					int												=				get_tests_dir('fixtures/dummy-config.json')



class 			lowerCAmelCase_		(unittest.TestCase						):


    """simple docstring"""



    def 			__magic_name__					(self					)      ->	Tuple:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     0



    def 			__magic_name__					(self					)      ->	Any:



           """simple docstring"""




           self.assertIsNotNone(transformers.models.auto.__spec__					)
           self.assertIsNotNone(importlib.util.find_spec("""transformers.models.auto"""					)					)



    def 			__magic_name__					(self					)      ->	Dict:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: List[str]     =     AutoConfig.from_pretrained("""bert-base-uncased"""					)
           self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase					)



    def 			__magic_name__					(self					)      ->	Dict:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Optional[int]     =     AutoConfig.from_pretrained(__lowerCamelCase					)
           self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase					)



    def 			__magic_name__					(self					)      ->	Optional[int]:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     AutoConfig.from_pretrained(__lowerCamelCase					)
           self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase					)



    def 			__magic_name__					(self					)      ->	str:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: str     =     AutoConfig.for_model("""roberta"""					)
           self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase					)



    def 			__magic_name__					(self					)      ->	Dict:



           """simple docstring"""




           with tempfile.TemporaryDirectory() as tmp_dir:
                  # This model name contains bert and roberta, but roberta ends up being picked.
                  SCREAMING_SNAKE_CASE__		: Optional[int]     =     os.path.join(__lowerCamelCase     , """fake-roberta"""					)
                  os.makedirs(__lowerCamelCase     , exist_ok=__lowerCamelCase					)
                  with open(os.path.join(__lowerCamelCase     , """config.json"""					)     , """w"""					) as f:
                         f.write(json.dumps({}					)					)
                  SCREAMING_SNAKE_CASE__		: int     =     AutoConfig.from_pretrained(__lowerCamelCase					)
                  self.assertEqual(type(__lowerCamelCase					)     , __lowerCamelCase					)



    def 			__magic_name__					(self					)      ->	str:



           """simple docstring"""




           try:
                  AutoConfig.register("""custom"""     , __lowerCamelCase					)
                  # Wrong model type will raise an error
                  with self.assertRaises(__lowerCamelCase					):
                         AutoConfig.register("""model"""     , __lowerCamelCase					)
                  # Trying to register something existing in the Transformers library will raise an error
                  with self.assertRaises(__lowerCamelCase					):
                         AutoConfig.register("""bert"""     , __lowerCamelCase					)

                  # Now that the config is registered, it can be used as any other config with the auto-API
                  SCREAMING_SNAKE_CASE__		: Optional[Any]     =     CustomConfig()
                  with tempfile.TemporaryDirectory() as tmp_dir:
                         config.save_pretrained(__lowerCamelCase					)
                         SCREAMING_SNAKE_CASE__		: Optional[Any]     =     AutoConfig.from_pretrained(__lowerCamelCase					)
                         self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase					)

           finally:
                  if "custom" in CONFIG_MAPPING._extra_content:
                         del CONFIG_MAPPING._extra_content["custom"]



    def 			__magic_name__					(self					)      ->	Optional[int]:



           """simple docstring"""




           with self.assertRaisesRegex(
               __lowerCamelCase     , """bert-base is not a local folder and is not a valid model identifier"""					):
                  SCREAMING_SNAKE_CASE__		: str     =     AutoConfig.from_pretrained("""bert-base"""					)



    def 			__magic_name__					(self					)      ->	Any:



           """simple docstring"""




           with self.assertRaisesRegex(
               __lowerCamelCase     , r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""					):
                  SCREAMING_SNAKE_CASE__		: Optional[int]     =     AutoConfig.from_pretrained(__lowerCamelCase     , revision="""aaaaaa"""					)



    def 			__magic_name__					(self					)      ->	str:



           """simple docstring"""




           with self.assertRaisesRegex(
               __lowerCamelCase     , """hf-internal-testing/no-config-test-repo does not appear to have a file named config.json."""     , ):
                  SCREAMING_SNAKE_CASE__		: Optional[Any]     =     AutoConfig.from_pretrained("""hf-internal-testing/no-config-test-repo"""					)



    def 			__magic_name__					(self					)      ->	List[str]:



           """simple docstring"""




           with self.assertRaises(__lowerCamelCase					):
                  SCREAMING_SNAKE_CASE__		: int     =     AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""					)
           # If remote code is disabled, we can't load this config.
           with self.assertRaises(__lowerCamelCase					):
                  SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""     , trust_remote_code=__lowerCamelCase					)

           SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""     , trust_remote_code=__lowerCamelCase					)
           self.assertEqual(config.__class__.__name__     , """NewModelConfig"""					)

           # Test config can be reloaded.
           with tempfile.TemporaryDirectory() as tmp_dir:
                  config.save_pretrained(__lowerCamelCase					)
                  SCREAMING_SNAKE_CASE__		: List[Any]     =     AutoConfig.from_pretrained(__lowerCamelCase     , trust_remote_code=__lowerCamelCase					)
           self.assertEqual(reloaded_config.__class__.__name__     , """NewModelConfig"""					)



    def 			__magic_name__					(self					)      ->	Union[str, Any]:



           """simple docstring"""




           class 			lowerCAmelCase_		(_A						):


               """simple docstring"""



               __UpperCamelCase   :		Dict       =     '''new-model'''

           try:
                  AutoConfig.register("""new-model"""     , __lowerCamelCase					)
                  # If remote code is not set, the default is to use local
                  SCREAMING_SNAKE_CASE__		: Optional[Any]     =     AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""					)
                  self.assertEqual(config.__class__.__name__     , """NewModelConfigLocal"""					)

                  # If remote code is disabled, we load the local one.
                  SCREAMING_SNAKE_CASE__		: str     =     AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""     , trust_remote_code=__lowerCamelCase					)
                  self.assertEqual(config.__class__.__name__     , """NewModelConfigLocal"""					)

                  # If remote is enabled, we load from the Hub
                  SCREAMING_SNAKE_CASE__		: Any     =     AutoConfig.from_pretrained("""hf-internal-testing/test_dynamic_model"""     , trust_remote_code=__lowerCamelCase					)
                  self.assertEqual(config.__class__.__name__     , """NewModelConfig"""					)

           finally:
                  if "new-model" in CONFIG_MAPPING._extra_content:
                         del CONFIG_MAPPING._extra_content["new-model"]






"""simple docstring"""




from math import pi, sqrt, tan

def lowercase_						(     _snake_case		):
							if side_length < 0:
														raise ValueError("""surface_area_cube() only accepts non-negative values"""		)
							return 6 * side_length**2

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case		):
							if radius < 0:
														raise ValueError("""surface_area_sphere() only accepts non-negative values"""		)
							return 4 * pi * radius**2

def lowercase_						(     _snake_case		):
							if radius < 0:
														raise ValueError("""surface_area_hemisphere() only accepts non-negative values"""		)
							return 3 * pi * radius**2

def lowercase_						(     _snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							if radius_a < 0 or radius_a < 0 or height < 0:
														raise ValueError(
														    """surface_area_conical_frustum() only accepts non-negative values"""		)
							SCREAMING_SNAKE_CASE__		: int     =     (height**2 + (radius_a - radius_a) ** 2) ** 0.5
							return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)

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

def lowercase_						(     _snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case     ,_snake_case		):
							if length < 0 or width < 0:
														raise ValueError("""area_rectangle() only accepts non-negative values"""		)
							return length * width

def lowercase_						(     _snake_case		):
							if side_length < 0:
														raise ValueError("""area_square() only accepts non-negative values"""		)
							return side_length**2

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

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							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"""		)
							SCREAMING_SNAKE_CASE__		: List[str]     =     (sidea + sidea + sidea) / 2
							SCREAMING_SNAKE_CASE__		: List[Any]     =     sqrt(
							    semi_perimeter
							    * (semi_perimeter - sidea)
							    * (semi_perimeter - sidea)
							    * (semi_perimeter - sidea)		)
							return area

def lowercase_						(     _snake_case     ,_snake_case		):
							if base < 0 or height < 0:
														raise ValueError("""area_parallelogram() only accepts non-negative values"""		)
							return base * height

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case		):
							if radius < 0:
														raise ValueError("""area_circle() only accepts non-negative values"""		)
							return pi * radius**2

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

def lowercase_						(     _snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case     ,_snake_case		):
							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(1_0, 2_0) = }""")
					print(f"""Square: {area_square(1_0) = }""")
					print(f"""Triangle: {area_triangle(1_0, 1_0) = }""")
					print(f"""Triangle: {area_triangle_three_sides(5, 1_2, 1_3) = }""")
					print(f"""Parallelogram: {area_parallelogram(1_0, 2_0) = }""")
					print(f"""Rhombus: {area_rhombus(1_0, 2_0) = }""")
					print(f"""Trapezium: {area_trapezium(1_0, 2_0, 3_0) = }""")
					print(f"""Circle: {area_circle(2_0) = }""")
					print(f"""Ellipse: {area_ellipse(1_0, 2_0) = }""")
					print('\nSurface Areas of various geometric shapes: \n')
					print(f"""Cube: {surface_area_cube(2_0) = }""")
					print(f"""Cuboid: {surface_area_cuboid(1_0, 2_0, 3_0) = }""")
					print(f"""Sphere: {surface_area_sphere(2_0) = }""")
					print(f"""Hemisphere: {surface_area_hemisphere(2_0) = }""")
					print(f"""Cone: {surface_area_cone(1_0, 2_0) = }""")
					print(f"""Conical Frustum: {surface_area_conical_frustum(1_0, 2_0, 3_0) = }""")
					print(f"""Cylinder: {surface_area_cylinder(1_0, 2_0) = }""")
					print(f"""Torus: {surface_area_torus(2_0, 1_0) = }""")
					print(f"""Equilateral Triangle: {area_reg_polygon(3, 1_0) = }""")
					print(f"""Square: {area_reg_polygon(4, 1_0) = }""")
					print(f"""Reqular Pentagon: {area_reg_polygon(5, 1_0) = }""")




