
"""simple docstring"""





import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs



class __lowerCAmelCase					(       _lowercase   ):




			"""simple docstring"""







			def __init__(					self    :       List[Any]							, _snake_case    :       Union[str, Any]							, _snake_case    :       Dict=None							, _snake_case    :       int=True							, _snake_case    :       Any=None							, **_snake_case    :       List[str]						)   ->			str:







								"""simple docstring"""
								A_								=    parent
								A_								=    config_class
								A_								=    has_text_modality
								A_								=    kwargs
								A_								=    common_properties




			def   lowerCamelCase__  (					self    :       Any						)   ->			Optional[int]:







								"""simple docstring"""
								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(_snake_case							, _snake_case						)							, msg=F'`{prop}` does not exist'						)

								# Test that config has the common properties as setter
								for idx, name in enumerate(_snake_case						):
													try:
																		setattr(_snake_case							, _snake_case							, _snake_case						)
																		self.parent.assertEqual(
																		    getattr(_snake_case							, _snake_case						)							, _snake_case							, msg=F'`{name} value {idx} expected, but was {getattr(_snake_case							, _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(_snake_case						):
													try:
																		A_								=    self.config_class(**{name: idx}						)
																		self.parent.assertEqual(
																		    getattr(_snake_case							, _snake_case						)							, _snake_case							, msg=F'`{name} value {idx} expected, but was {getattr(_snake_case							, _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   lowerCamelCase__  (					self    :       str						)   ->			Union[str, Any]:







								"""simple docstring"""
								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]							, _snake_case						)




			def   lowerCamelCase__  (					self    :       Optional[Any]						)   ->			Optional[int]:







								"""simple docstring"""
								A_								=    self.config_class(**self.inputs_dict						)

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

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




			def   lowerCamelCase__  (					self    :       List[Any]						)   ->			Optional[Any]:







								"""simple docstring"""
								A_								=    self.config_class(**self.inputs_dict						)

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

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




			def   lowerCamelCase__  (					self    :       Optional[Any]						)   ->			str:







								"""simple docstring"""
								A_								=    self.config_class(**self.inputs_dict						)

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

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




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







								"""simple docstring"""
								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   lowerCamelCase__  (					self    :       Any						)   ->			List[Any]:







								"""simple docstring"""
								if self.config_class.is_composition:
													return
								A_								=    self.config_class()
								self.parent.assertIsNotNone(_snake_case						)




			def   lowerCamelCase__  (					self    :       Any						)   ->			Optional[int]:







								"""simple docstring"""
								A_								=    copy.deepcopy(_snake_case						)
								A_								=    self.config_class(**_snake_case						)
								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(_snake_case							, _snake_case						) != value:
																		wrong_values.append((key, getattr(_snake_case							, _snake_case						), value)						)

								if len(_snake_case						) > 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   lowerCamelCase__  (					self    :       Optional[Any]						)   ->			List[str]:







								"""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"""





def 				A_  (__a					):

					'''simple docstring'''





					A_								=    len(__a					)
					while cur > 1:
										# Find the maximum number in arr
										A_								=    arr.index(max(arr[0:cur]					)					)
										# Reverse from 0 to mi
										A_								=    arr[mi::-1] + arr[mi + 1 : len(__a					)]
										# Reverse whole list
										A_								=    arr[cur - 1 :: -1] + arr[cur : len(__a					)]
										cur -= 1
					return arr


if __name__ == "__main__":
		UpperCamelCase_       :    Optional[Any]						      =			input('''Enter numbers separated by a comma:\n''').strip()
		UpperCamelCase_       :    Any						      =			[int(item) for item in user_input.split(''',''')]
		print(pancake_sort(unsorted))




