




import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs
class 						UpperCAmelCase  (							lowerCAmelCase_     ):







						'''simple docstring'''





						def __init__(		self				:	Union[str, Any]			,      __lowercase				:	Union[str, Any]			,      __lowercase				:	str=None			,      __lowercase				:	List[Any]=True			,      __lowercase				:	Union[str, Any]=None			,      **__lowercase				:	Dict		):






							"""simple docstring"""






							snake_case_						       =	parent
							snake_case_						       =	config_class
							snake_case_						       =	has_text_modality
							snake_case_						       =	kwargs
							snake_case_						       =	common_properties






						def 			snake_case__		(		self				:	Dict		):






							"""simple docstring"""






							snake_case_						       =	self.config_class(**self.inputs_dict		)
							snake_case_						       =	(
							    ["hidden_size", "num_attention_heads", "num_hidden_layers"]
							    if self.common_properties is None
							    else self.common_properties
							)

							# Add common fields for text models
							if self.has_text_modality:
								common_properties.extend(["vocab_size"]		)

							# Test that config has the common properties as getters
							for prop in common_properties:
								self.parent.assertTrue(hasattr(__lowerCAmelCase			,      __lowerCAmelCase		)			,      msg=f"`{prop}` does not exist"		)

							# Test that config has the common properties as setter
							for idx, name in enumerate(__lowerCAmelCase		):
								try:
									setattr(__lowerCAmelCase			,      __lowerCAmelCase			,      __lowerCAmelCase		)
									self.parent.assertEqual(
									    getattr(__lowerCAmelCase			,      __lowerCAmelCase		)			,      __lowerCAmelCase			,      msg=f"`{name} value {idx} expected, but was {getattr(__lowerCAmelCase			,      __lowerCAmelCase		)}"		)
								except NotImplementedError:
									# Some models might not be able to implement setters for common_properties
									# In that case, a NotImplementedError is raised
									pass

								# Test if config class can be called with Config(prop_name=..)
							for idx, name in enumerate(__lowerCAmelCase		):
								try:
									snake_case_						       =	self.config_class(**{name: idx}		)
									self.parent.assertEqual(
									    getattr(__lowerCAmelCase			,      __lowerCAmelCase		)			,      __lowerCAmelCase			,      msg=f"`{name} value {idx} expected, but was {getattr(__lowerCAmelCase			,      __lowerCAmelCase		)}"		)
								except NotImplementedError:
									# Some models might not be able to implement setters for common_properties
									# In that case, a NotImplementedError is raised
									pass






						def 			snake_case__		(		self				:	Optional[Any]		):






							"""simple docstring"""






							snake_case_						       =	self.config_class(**self.inputs_dict		)
							snake_case_						       =	json.loads(config.to_json_string()		)
							for key, value in self.inputs_dict.items():
								self.parent.assertEqual(obj[key]			,      __lowerCAmelCase		)






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






							"""simple docstring"""






							snake_case_						       =	self.config_class(**self.inputs_dict		)

							with tempfile.TemporaryDirectory() as tmpdirname:
								snake_case_						       =	os.path.join(__lowerCAmelCase			,      "config.json"		)
								config_first.to_json_file(__lowerCAmelCase		)
								snake_case_						       =	self.config_class.from_json_file(__lowerCAmelCase		)

							self.parent.assertEqual(config_second.to_dict()			,      config_first.to_dict()		)






						def 			snake_case__		(		self				:	List[str]		):






							"""simple docstring"""






							snake_case_						       =	self.config_class(**self.inputs_dict		)

							with tempfile.TemporaryDirectory() as tmpdirname:
								config_first.save_pretrained(__lowerCAmelCase		)
								snake_case_						       =	self.config_class.from_pretrained(__lowerCAmelCase		)

							self.parent.assertEqual(config_second.to_dict()			,      config_first.to_dict()		)






						def 			snake_case__		(		self				:	Optional[Any]		):






							"""simple docstring"""






							snake_case_						       =	self.config_class(**self.inputs_dict		)

							snake_case_						       =	"test"
							with tempfile.TemporaryDirectory() as tmpdirname:
								snake_case_						       =	os.path.join(__lowerCAmelCase			,      __lowerCAmelCase		)
								config_first.save_pretrained(__lowerCAmelCase		)
								snake_case_						       =	self.config_class.from_pretrained(__lowerCAmelCase			,      subfolder=__lowerCAmelCase		)

							self.parent.assertEqual(config_second.to_dict()			,      config_first.to_dict()		)






						def 			snake_case__		(		self				:	List[str]		):






							"""simple docstring"""






							snake_case_						       =	self.config_class(**self.inputs_dict			,      num_labels=5		)
							self.parent.assertEqual(len(config.idalabel		)			,      5		)
							self.parent.assertEqual(len(config.labelaid		)			,      5		)

							snake_case_						       =	3
							self.parent.assertEqual(len(config.idalabel		)			,      3		)
							self.parent.assertEqual(len(config.labelaid		)			,      3		)






						def 			snake_case__		(		self				:	List[str]		):






							"""simple docstring"""






							if self.config_class.is_composition:
								return
							snake_case_						       =	self.config_class()
							self.parent.assertIsNotNone(__lowerCAmelCase		)






						def 			snake_case__		(		self				:	Any		):






							"""simple docstring"""






							snake_case_						       =	copy.deepcopy(__lowerCAmelCase		)
							snake_case_						       =	self.config_class(**__lowerCAmelCase		)
							snake_case_						       =	[]
							for key, value in config_common_kwargs.items():
								if key == "torch_dtype":
									if not is_torch_available():
										continue
									else:
										import torch

										if config.torch_dtype != torch.floataa:
											wrong_values.append(("torch_dtype", config.torch_dtype, torch.floataa)		)
								elif getattr(__lowerCAmelCase			,      __lowerCAmelCase		) != value:
									wrong_values.append((key, getattr(__lowerCAmelCase			,      __lowerCAmelCase		), value)		)

							if len(__lowerCAmelCase		) > 0:
								snake_case_						       =	"\n".join([f"- {v[0]}: got {v[1]} instead of {v[2]}" for v in wrong_values]		)
								raise ValueError(f"The following keys were not properly set in the config:\n{errors}"		)






						def 			snake_case__		(		self				:	Optional[Any]		):






							"""simple docstring"""






							self.create_and_test_config_common_properties()
							self.create_and_test_config_to_json_string()
							self.create_and_test_config_to_json_file()
							self.create_and_test_config_from_and_save_pretrained()
							self.create_and_test_config_from_and_save_pretrained_subfolder()
							self.create_and_test_config_with_num_labels()
							self.check_config_can_be_init_without_params()
							self.check_config_arguments_init()

"""simple docstring"""


from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase = False		):







  """simple docstring"""
  if radian_mode:
    return [magnitude * cos(lowercase		), magnitude * sin(lowercase		)]
  return [magnitude * cos(radians(lowercase		)		), magnitude * sin(radians(lowercase		)		)]






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase = 10**-1		):







  """simple docstring"""
  _UpperCAmelCase    			=   cross(lowercase ,lowercase		)
  _UpperCAmelCase    			=   sum(lowercase		)
  return abs(lowercase		) < eps


if __name__ == "__main__":
    # Test to check if it works
    UpperCAmelCase__			=    array(
        [
            polar_force(718.4, 1_8_0 - 3_0),
            polar_force(879.54, 4_5),
            polar_force(1_0_0, -9_0),
        ]
    )

    UpperCAmelCase__			=    array([[0, 0], [0, 0], [0, 0]])

    assert in_static_equilibrium(forces, location)

    # Problem 1 in image_data/2D_problems.jpg
    UpperCAmelCase__			=    array(
        [
            polar_force(3_0 * 9.81, 1_5),
            polar_force(2_1_5, 1_8_0 - 4_5),
            polar_force(2_6_4, 9_0 - 3_0),
        ]
    )

    UpperCAmelCase__			=    array([[0, 0], [0, 0], [0, 0]])

    assert in_static_equilibrium(forces, location)

    # Problem in image_data/2D_problems_1.jpg
    UpperCAmelCase__			=    array([[0, -2_0_0_0], [0, -1_2_0_0], [0, 1_5_6_0_0], [0, -1_2_4_0_0]])

    UpperCAmelCase__			=    array([[0, 0], [6, 0], [1_0, 0], [1_2, 0]])

    assert in_static_equilibrium(forces, location)

    import doctest

    doctest.testmod()
