
import tempfile
import unittest

from diffusers import (
    DDIMScheduler,
    DDPMScheduler,
    DPMSolverMultistepScheduler,
    EulerAncestralDiscreteScheduler,
    EulerDiscreteScheduler,
    PNDMScheduler,
    logging,
)
from diffusers.configuration_utils import ConfigMixin, register_to_config
from diffusers.utils.testing_utils import CaptureLogger




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	int					     =      "config.json"



	@register_to_config
	def __init__(						self			:					Optional[int]    ,						lowercase			:					Union[str, Any]=2    ,						lowercase			:					Dict=5    ,						lowercase			:					int=(2, 5)    ,						lowercase			:					int="for diffusion"    ,						lowercase			:					Union[str, Any]=[1, 3]    ,						):


				'''simple docstring'''


				pass




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	Optional[Any]					     =      "config.json"



	@register_to_config
	def __init__(						self			:					int    ,						lowercase			:					Any=2    ,						lowercase			:					int=5    ,						lowercase			:					List[str]=(2, 5)    ,						lowercase			:					str="for diffusion"    ,						lowercase			:					Tuple=[1, 3]    ,						):


				'''simple docstring'''


				pass




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	str					     =      "config.json"



	@register_to_config
	def __init__(						self			:					str    ,						lowercase			:					Union[str, Any]=2    ,						lowercase			:					int=5    ,						lowercase			:					str=(2, 5)    ,						lowercase			:					List[Any]="for diffusion"    ,						lowercase			:					List[str]=[1, 3]    ,						lowercase			:					Optional[Any]=[1, 3]    ,						):


				'''simple docstring'''


				pass




class      SCREAMING_SNAKE_CASE__  (			UpperCAmelCase      ):





	'''simple docstring'''



	_UpperCAmelCase :	Dict					     =      "config.json"



	@register_to_config
	def __init__(						self			:					str    ,						lowercase			:					Union[str, Any]=2    ,						lowercase			:					str=5    ,						lowercase			:					str=(2, 5)    ,						lowercase			:					List[str]="for diffusion"    ,						lowercase			:					Dict=[1, 5]    ,						lowercase			:					Dict=[5, 4]    ,						):


				'''simple docstring'''


				pass




class      SCREAMING_SNAKE_CASE__  (			unittest.TestCase      ):





	'''simple docstring'''



	def 				A							(						self			:					Optional[int]			):


				'''simple docstring'''


				with self.assertRaises(lowercase			):
							ConfigMixin.load_config('dummy_path'			)



	def 				A							(						self			:					Optional[Any]			):


				'''simple docstring'''


				_snake_case						=    SampleObject()
				_snake_case						=    obj.config
				assert config["a"] == 2
				assert config["b"] == 5
				assert config["c"] == (2, 5)
				assert config["d"] == "for diffusion"
				assert config["e"] == [1, 3]

				# init ignore private arguments
				_snake_case						=    SampleObject(_name_or_path='lalala'			)
				_snake_case						=    obj.config
				assert config["a"] == 2
				assert config["b"] == 5
				assert config["c"] == (2, 5)
				assert config["d"] == "for diffusion"
				assert config["e"] == [1, 3]

				# can override default
				_snake_case						=    SampleObject(c=6			)
				_snake_case						=    obj.config
				assert config["a"] == 2
				assert config["b"] == 5
				assert config["c"] == 6
				assert config["d"] == "for diffusion"
				assert config["e"] == [1, 3]

				# can use positional arguments.
				_snake_case						=    SampleObject(1    ,						c=6			)
				_snake_case						=    obj.config
				assert config["a"] == 1
				assert config["b"] == 5
				assert config["c"] == 6
				assert config["d"] == "for diffusion"
				assert config["e"] == [1, 3]



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


				'''simple docstring'''


				_snake_case						=    SampleObject()
				_snake_case						=    obj.config

				assert config["a"] == 2
				assert config["b"] == 5
				assert config["c"] == (2, 5)
				assert config["d"] == "for diffusion"
				assert config["e"] == [1, 3]

				with tempfile.TemporaryDirectory() as tmpdirname:
							obj.save_config(lowercase			)
							_snake_case						=    SampleObject.from_config(SampleObject.load_config(lowercase			)			)
							_snake_case						=    new_obj.config

				# unfreeze configs
				_snake_case						=    dict(lowercase			)
				_snake_case						=    dict(lowercase			)

				assert config.pop('c'			) == (2, 5)  # instantiated as tuple
				assert new_config.pop('c'			) == [2, 5]  # saved & loaded as list because of json
				config.pop('_use_default_values'			)
				assert config == new_config



	def 				A							(						self			:					List[Any]			):


				'''simple docstring'''


				_snake_case						=    logging.get_logger('diffusers.configuration_utils'			)
				# 30 for warning
				logger.setLevel(30			)

				with CaptureLogger(lowercase			) as cap_logger:
							_snake_case						=    DDIMScheduler.from_pretrained(
							    'hf-internal-testing/tiny-stable-diffusion-torch'    ,						subfolder='scheduler'			)

				assert ddim.__class__ == DDIMScheduler
				# no warning should be thrown
				assert cap_logger.out == ""



	def 				A							(						self			:					Any			):


				'''simple docstring'''


				_snake_case						=    logging.get_logger('diffusers.configuration_utils'			)
				# 30 for warning
				logger.setLevel(30			)

				with CaptureLogger(lowercase			) as cap_logger:
							_snake_case						=    EulerDiscreteScheduler.from_pretrained(
							    'hf-internal-testing/tiny-stable-diffusion-torch'    ,						subfolder='scheduler'			)

				assert euler.__class__ == EulerDiscreteScheduler
				# no warning should be thrown
				assert cap_logger.out == ""



	def 				A							(						self			:					Dict			):


				'''simple docstring'''


				_snake_case						=    logging.get_logger('diffusers.configuration_utils'			)
				# 30 for warning
				logger.setLevel(30			)

				with CaptureLogger(lowercase			) as cap_logger:
							_snake_case						=    EulerAncestralDiscreteScheduler.from_pretrained(
							    'hf-internal-testing/tiny-stable-diffusion-torch'    ,						subfolder='scheduler'			)

				assert euler.__class__ == EulerAncestralDiscreteScheduler
				# no warning should be thrown
				assert cap_logger.out == ""



	def 				A							(						self			:					Optional[int]			):


				'''simple docstring'''


				_snake_case						=    logging.get_logger('diffusers.configuration_utils'			)
				# 30 for warning
				logger.setLevel(30			)

				with CaptureLogger(lowercase			) as cap_logger:
							_snake_case						=    PNDMScheduler.from_pretrained(
							    'hf-internal-testing/tiny-stable-diffusion-torch'    ,						subfolder='scheduler'			)

				assert pndm.__class__ == PNDMScheduler
				# no warning should be thrown
				assert cap_logger.out == ""



	def 				A							(						self			:					List[Any]			):


				'''simple docstring'''


				_snake_case						=    logging.get_logger('diffusers.configuration_utils'			)
				# 30 for warning
				logger.setLevel(30			)

				with CaptureLogger(lowercase			) as cap_logger:
							_snake_case						=    DDPMScheduler.from_pretrained(
							    'hf-internal-testing/tiny-stable-diffusion-torch'    ,						subfolder='scheduler'    ,						prediction_type='sample'    ,						beta_end=8    ,						)

				with CaptureLogger(lowercase			) as cap_logger_a:
							_snake_case						=    DDPMScheduler.from_pretrained('google/ddpm-celebahq-256'    ,						beta_start=88			)

				assert ddpm.__class__ == DDPMScheduler
				assert ddpm.config.prediction_type == "sample"
				assert ddpm.config.beta_end == 8
				assert ddpm_a.config.beta_start == 88

				# no warning should be thrown
				assert cap_logger.out == ""
				assert cap_logger_a.out == ""



	def 				A							(						self			:					str			):


				'''simple docstring'''


				_snake_case						=    logging.get_logger('diffusers.configuration_utils'			)
				# 30 for warning
				logger.setLevel(30			)

				with CaptureLogger(lowercase			) as cap_logger:
							_snake_case						=    DPMSolverMultistepScheduler.from_pretrained(
							    'hf-internal-testing/tiny-stable-diffusion-torch'    ,						subfolder='scheduler'			)

				assert dpm.__class__ == DPMSolverMultistepScheduler
				# no warning should be thrown
				assert cap_logger.out == ""





	def 				A							(						self			:					Any			):


				'''simple docstring'''


				_snake_case						=    SampleObject()

				_snake_case						=    {k: v for k, v in config.config.items() if not k.startswith('_'			)}

				# make sure that default config has all keys in `_use_default_values`
				assert set(config_dict.keys()			) == set(config.config._use_default_values			)

				with tempfile.TemporaryDirectory() as tmpdirname:
							config.save_config(lowercase			)

							# now loading it with SampleObject2 should put f into `_use_default_values`
							_snake_case						=    SampleObjecta.from_config(lowercase			)

							assert "f" in config._use_default_values
							assert config.f == [1, 3]

				# now loading the config, should **NOT** use [1, 3] for `f`, but the default [1, 4] value
				# **BECAUSE** it is part of `config._use_default_values`
				_snake_case						=    SampleObjecta.from_config(config.config			)
				assert new_config.f == [5, 4]

				config.config._use_default_values.pop()
				_snake_case						=    SampleObjecta.from_config(config.config			)
				assert new_config_a.f == [1, 3]

				# Nevertheless "e" should still be correctly loaded to [1, 3] from SampleObject2 instead of defaulting to [1, 5]
				assert new_config_a.e == [1, 3]

import random
import sys

_lowerCamelCase :       Tuple     					=    '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''






def  a_	( )				->						None:
			_snake_case						=    input('Enter message: '				)
			_snake_case						=    'LFWOAYUISVKMNXPBDCRJTQEGHZ'
			_snake_case						=    input('Encrypt/Decrypt [e/d]: '				)

			check_valid_key(__lowercase				)

			if resp.lower().startswith('e'				):
						_snake_case						=    'encrypt'
						_snake_case						=    encrypt_message(__lowercase ,      __lowercase				)
			elif resp.lower().startswith('d'				):
						_snake_case						=    'decrypt'
						_snake_case						=    decrypt_message(__lowercase ,      __lowercase				)

			print(f'''\n{mode.title()}ion: \n{translated}'''				)






def  a_	( __lowercase     :			str				)				->						None:
			_snake_case						=    list(__lowercase				)
			_snake_case						=    list(__lowercase				)
			key_list.sort()
			letters_list.sort()

			if key_list != letters_list:
						sys.exit('Error in the key or symbol set.'				)






def  a_	( __lowercase     :			str ,      __lowercase     :			str				)				->						str:
			return translate_message(__lowercase ,      __lowercase ,      'encrypt'				)






def  a_	( __lowercase     :			str ,      __lowercase     :			str				)				->						str:
			return translate_message(__lowercase ,      __lowercase ,      'decrypt'				)






def  a_	( __lowercase     :			str ,      __lowercase     :			str ,      __lowercase     :			str				)				->						str:
			_snake_case						=    ''
			_snake_case						=    LETTERS
			_snake_case						=    key

			if mode == "decrypt":
						_snake_case			,      _snake_case						=    chars_b, chars_a

			for symbol in message:
						if symbol.upper() in chars_a:
									_snake_case						=    chars_a.find(symbol.upper()				)
									if symbol.isupper():
												translated += chars_b[sym_index].upper()
									else:
												translated += chars_b[sym_index].lower()
						else:
									translated += symbol

			return translated






def  a_	( )				->						str:
			_snake_case						=    list(__lowercase				)
			random.shuffle(__lowercase				)
			return "".join(__lowercase				)


if __name__ == "__main__":
			main()