



import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs



class        lowerCAmelCase__					(  _lowerCamelCase       ):


				def __init__(							self      :  Union[str, Any]						, __UpperCamelCase      :  str						, __UpperCamelCase      :  int=None						, __UpperCamelCase      :  int=True						, __UpperCamelCase      :  List[Any]=None						, **__UpperCamelCase      :  Union[str, Any]       )		->     Union[str, Any]:
											A      						=    parent
											A      						=    config_class
											A      						=    has_text_modality
											A      						=    kwargs
											A      						=    common_properties


				def __UpperCamelCase						(							self      :  Optional[int]       )		->     Tuple:
											A      						=    self.config_class(**self.inputs_dict       )
											A      						=    (
											    ['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(__UpperCamelCase						, __UpperCamelCase       )						, msg=f'''`{prop}` does not exist'''       )

											# Test that config has the common properties as setter
											for idx, name in enumerate(__UpperCamelCase       ):
																		try:
																									setattr(__UpperCamelCase						, __UpperCamelCase						, __UpperCamelCase       )
																									self.parent.assertEqual(
																									    getattr(__UpperCamelCase						, __UpperCamelCase       )						, __UpperCamelCase						, msg=f'''`{name} value {idx} expected, but was {getattr(__UpperCamelCase						, __UpperCamelCase       )}'''       )
																		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(__UpperCamelCase       ):
																		try:
																									A      						=    self.config_class(**{name: idx}       )
																									self.parent.assertEqual(
																									    getattr(__UpperCamelCase						, __UpperCamelCase       )						, __UpperCamelCase						, msg=f'''`{name} value {idx} expected, but was {getattr(__UpperCamelCase						, __UpperCamelCase       )}'''       )
																		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      :  List[Any]       )		->     str:
											A      						=    self.config_class(**self.inputs_dict       )
											A      						=    json.loads(config.to_json_string()       )
											for key, value in self.inputs_dict.items():
																		self.parent.assertEqual(obj[key]						, __UpperCamelCase       )


				def __UpperCamelCase						(							self      :  Optional[int]       )		->     Optional[int]:
											A      						=    self.config_class(**self.inputs_dict       )

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

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


				def __UpperCamelCase						(							self      :  List[Any]       )		->     str:
											A      						=    self.config_class(**self.inputs_dict       )

											with tempfile.TemporaryDirectory() as tmpdirname:
																		config_first.save_pretrained(__UpperCamelCase       )
																		A      						=    self.config_class.from_pretrained(__UpperCamelCase       )

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


				def __UpperCamelCase						(							self      :  Dict       )		->     Optional[Any]:
											A      						=    self.config_class(**self.inputs_dict       )

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

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


				def __UpperCamelCase						(							self      :  Optional[Any]       )		->     Tuple:
											A      						=    self.config_class(**self.inputs_dict						, num_labels=5       )
											self.parent.assertEqual(len(config.idalabel       )						, 5       )
											self.parent.assertEqual(len(config.labelaid       )						, 5       )

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


				def __UpperCamelCase						(							self      :  Dict       )		->     str:
											if self.config_class.is_composition:
																		return
											A      						=    self.config_class()
											self.parent.assertIsNotNone(__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  List[str]       )		->     Dict:
											A      						=    copy.deepcopy(__UpperCamelCase       )
											A      						=    self.config_class(**__UpperCamelCase       )
											A      						=    []
											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(__UpperCamelCase						, __UpperCamelCase       ) != value:
																									wrong_values.append((key, getattr(__UpperCamelCase						, __UpperCamelCase       ), value)       )

											if len(__UpperCamelCase       ) > 0:
																		A      						=    '\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      :  Union[str, Any]       )		->     Optional[int]:
											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 import defaultdict





def 				A__ (snake_case   :		int				)     ->						int:
					__UpperCamelCase					:	Optional[int]             =      1
					__UpperCamelCase					:	Tuple             =      True
					for v in tree[start]:
										if v not in visited:
															ret += dfs(snake_case				)
					if ret % 2 == 0:
										cuts.append(snake_case				)
					return ret





def 				A__ ()     ->						str:
					dfs(1				)


if __name__ == "__main__":
	a__     ,							a__		     =     10, 9
	a__		     =     defaultdict(list)
	a__		     =     {}
	a__		     =     []
	a__		     =     0
	a__		     =     [(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
	for u, v in edges:
		tree[u].append(v)
		tree[v].append(u)
	even_tree()
	print(len(cuts) - 1)






