
import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	def __init__(  self	:    Optional[Any]			,  lowercase	:    Dict			,  lowercase	:    Optional[int]=None			,  lowercase	:    List[str]=True			,  lowercase	:    Dict=None			,  **lowercase	:    Optional[int]	):


				'''simple docstring'''


				_snake_case		=			parent
				_snake_case		=			config_class
				_snake_case		=			has_text_modality
				_snake_case		=			kwargs
				_snake_case		=			common_properties



	def  A							(  self	:    int	):


				'''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(lowercase			,  lowercase	)			,  msg=f'''`{prop}` does not exist'''	)

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



	def  A							(  self	:    Optional[int]	):


				'''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]			,  lowercase	)



	def  A							(  self	:    Tuple	):


				'''simple docstring'''


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

				with tempfile.TemporaryDirectory() as tmpdirname:
							_snake_case		=			os.path.join(lowercase			,  'config.json'	)
							config_first.to_json_file(lowercase	)
							_snake_case		=			self.config_class.from_json_file(lowercase	)

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



	def  A							(  self	:    Optional[int]	):


				'''simple docstring'''


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

				with tempfile.TemporaryDirectory() as tmpdirname:
							config_first.save_pretrained(lowercase	)
							_snake_case		=			self.config_class.from_pretrained(lowercase	)

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



	def  A							(  self	:    str	):


				'''simple docstring'''


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

				_snake_case		=			'test'
				with tempfile.TemporaryDirectory() as tmpdirname:
							_snake_case		=			os.path.join(lowercase			,  lowercase	)
							config_first.save_pretrained(lowercase	)
							_snake_case		=			self.config_class.from_pretrained(lowercase			,  subfolder=lowercase	)

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



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


				'''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  A							(  self	:    List[str]	):


				'''simple docstring'''


				if self.config_class.is_composition:
							return
				_snake_case		=			self.config_class()
				self.parent.assertIsNotNone(lowercase	)



	def  A							(  self	:    Any	):


				'''simple docstring'''


				_snake_case		=			copy.deepcopy(lowercase	)
				_snake_case		=			self.config_class(**lowercase	)
				_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(lowercase			,  lowercase	) != value:
										wrong_values.append((key, getattr(lowercase			,  lowercase	), value)	)

				if len(lowercase	) > 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  A							(  self	:    Optional[int]	):


				'''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()

from collections.abc import Sequence






def        a_		(       __lowercase   :	Sequence[float]       ,					__lowercase   :	float ) ->  float:
			return sum(c * (x**i) for i, c in enumerate(__lowercase ) )






def        a_		(       __lowercase   :	Sequence[float]       ,					__lowercase   :	float ) ->  float:
			_snake_case		=			0.0
			for coeff in reversed(__lowercase ):
						_snake_case		=			result * x + coeff
			return result


if __name__ == "__main__":
			_lowerCamelCase       :				Optional[Any]       =			(0.0, 0.0, 5.0, 9.3, 7.0)
			_lowerCamelCase       :				Optional[int]       =			1_0.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))