


import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs

class 		__a				(    UpperCAmelCase      ):
		def __init__(      self      ,   _SCREAMING_SNAKE_CASE      ,   _SCREAMING_SNAKE_CASE=None      ,   _SCREAMING_SNAKE_CASE=True      ,   _SCREAMING_SNAKE_CASE=None      ,   **_SCREAMING_SNAKE_CASE						)			->	str:




									"""simple docstring"""





									_UpperCAmelCase					=      parent
									_UpperCAmelCase					=      config_class
									_UpperCAmelCase					=      has_text_modality
									_UpperCAmelCase					=      kwargs
									_UpperCAmelCase					=      common_properties
		def      UpperCAmelCase__    (      self						)			->	Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=      self.config_class(**self.inputs_dict						)
									_UpperCAmelCase					=      (
									    ['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(_SCREAMING_SNAKE_CASE      ,   _SCREAMING_SNAKE_CASE						)      ,   msg=f'''`{prop}` does not exist'''						)

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




									"""simple docstring"""





									_UpperCAmelCase					=      self.config_class(**self.inputs_dict						)
									_UpperCAmelCase					=      json.loads(config.to_json_string()						)
									for key, value in self.inputs_dict.items():
																self.parent.assertEqual(obj[key]      ,   _SCREAMING_SNAKE_CASE						)
		def      UpperCAmelCase__    (      self						)			->	List[Any]:




									"""simple docstring"""





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

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

									self.parent.assertEqual(config_second.to_dict()      ,   config_first.to_dict()						)
		def      UpperCAmelCase__    (      self						)			->	List[Any]:




									"""simple docstring"""





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

									with tempfile.TemporaryDirectory() as tmpdirname:
																config_first.save_pretrained(_SCREAMING_SNAKE_CASE						)
																_UpperCAmelCase					=      self.config_class.from_pretrained(_SCREAMING_SNAKE_CASE						)

									self.parent.assertEqual(config_second.to_dict()      ,   config_first.to_dict()						)
		def      UpperCAmelCase__    (      self						)			->	Optional[int]:




									"""simple docstring"""





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

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

									self.parent.assertEqual(config_second.to_dict()      ,   config_first.to_dict()						)
		def      UpperCAmelCase__    (      self						)			->	int:




									"""simple docstring"""





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

									_UpperCAmelCase					=      3
									self.parent.assertEqual(len(config.idalabel						)      ,   3						)
									self.parent.assertEqual(len(config.labelaid						)      ,   3						)
		def      UpperCAmelCase__    (      self						)			->	Optional[Any]:




									"""simple docstring"""





									if self.config_class.is_composition:
																return
									_UpperCAmelCase					=      self.config_class()
									self.parent.assertIsNotNone(_SCREAMING_SNAKE_CASE						)
		def      UpperCAmelCase__    (      self						)			->	Any:




									"""simple docstring"""





									_UpperCAmelCase					=      copy.deepcopy(_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase					=      self.config_class(**_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase					=      []
									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(_SCREAMING_SNAKE_CASE      ,   _SCREAMING_SNAKE_CASE						) != value:
																							wrong_values.append((key, getattr(_SCREAMING_SNAKE_CASE      ,   _SCREAMING_SNAKE_CASE						), value)						)

									if len(_SCREAMING_SNAKE_CASE						) > 0:
																_UpperCAmelCase					=      '\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      UpperCAmelCase__    (      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()




import math
import random

def 	lowerCAmelCase__			(      a__:		float      ,  a__:		bool = False	)  ->		float:


							'''simple docstring'''





							if deriv:
														return value * (1 - value)
							return 1 / (1 + math.exp(-value	))


# Initial Value
lowerCAmelCase__  :Optional[Any]             =							0.02

def 	lowerCAmelCase__			(      a__:		int      ,  a__:		int	)  ->		float:


							'''simple docstring'''





							_UpperCAmelCase					=      float(2 * (random.randint(1      ,  1_0_0	)) - 1	)

							for _ in range(a__	):
														# Forward propagation
														_UpperCAmelCase					=      sigmoid_function(INITIAL_VALUE * weight	)
														# How much did we miss?
														_UpperCAmelCase					=      (expected / 1_0_0) - layer_a
														# Error delta
														_UpperCAmelCase					=      layer_1_error * sigmoid_function(a__      ,  a__	)
														# Update weight
														weight += INITIAL_VALUE * layer_1_delta

							return layer_a * 1_0_0


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowerCAmelCase__  :List[Any]             =							int(input('''Expected value: '''))
		lowerCAmelCase__  :Any             =							int(input('''Number of propagations: '''))
		print(forward_propagation(expected, number_propagations))
