





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 				__snake_case  (     __SCREAMING_SNAKE_CASE						):


    '''simple docstring'''







    lowerCamelCase__						:		List[str]							=  """config.json"""



    @register_to_config
    def __init__(					self      ,							A_=2      ,							A_=5      ,							A_=(2, 5)      ,							A_="for diffusion"      ,							A_=[1, 3]      ,							):





        '''simple docstring'''

        pass





class 				__snake_case  (     __SCREAMING_SNAKE_CASE						):


    '''simple docstring'''







    lowerCamelCase__						:		Any							=  """config.json"""



    @register_to_config
    def __init__(					self      ,							A_=2      ,							A_=5      ,							A_=(2, 5)      ,							A_="for diffusion"      ,							A_=[1, 3]      ,							):





        '''simple docstring'''

        pass





class 				__snake_case  (     __SCREAMING_SNAKE_CASE						):


    '''simple docstring'''







    lowerCamelCase__						:		int							=  """config.json"""



    @register_to_config
    def __init__(					self      ,							A_=2      ,							A_=5      ,							A_=(2, 5)      ,							A_="for diffusion"      ,							A_=[1, 3]      ,							A_=[1, 3]      ,							):





        '''simple docstring'''

        pass





class 				__snake_case  (     __SCREAMING_SNAKE_CASE						):


    '''simple docstring'''







    lowerCamelCase__						:		List[Any]							=  """config.json"""



    @register_to_config
    def __init__(					self      ,							A_=2      ,							A_=5      ,							A_=(2, 5)      ,							A_="for diffusion"      ,							A_=[1, 5]      ,							A_=[5, 4]      ,							):





        '''simple docstring'''

        pass





class 				__snake_case  (     unittest.TestCase						):


    '''simple docstring'''







    def    lowercase_				(					self    ):





        '''simple docstring'''

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



    def    lowercase_				(					self    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= SampleObject()
        SCREAMING_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
        SCREAMING_SNAKE_CASE__       							= SampleObject(_name_or_path='''lalala'''    )
        SCREAMING_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
        SCREAMING_SNAKE_CASE__       							= SampleObject(c=6    )
        SCREAMING_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.
        SCREAMING_SNAKE_CASE__       							= SampleObject(1      ,							c=6    )
        SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= SampleObject()
        SCREAMING_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(A_    )
            SCREAMING_SNAKE_CASE__       							= SampleObject.from_config(SampleObject.load_config(A_    )    )
            SCREAMING_SNAKE_CASE__       							= new_obj.config

        # unfreeze configs
        SCREAMING_SNAKE_CASE__       							= dict(A_    )
        SCREAMING_SNAKE_CASE__       							= dict(A_    )

        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    lowercase_				(					self    ):





        '''simple docstring'''

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

        with CaptureLogger(A_    ) as cap_logger:
            SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

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

        with CaptureLogger(A_    ) as cap_logger:
            SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

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

        with CaptureLogger(A_    ) as cap_logger:
            SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

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

        with CaptureLogger(A_    ) as cap_logger:
            SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

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

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

        with CaptureLogger(A_    ) as cap_logger_a:
            SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

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

        with CaptureLogger(A_    ) as cap_logger:
            SCREAMING_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    lowercase_				(					self    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= SampleObject()

        SCREAMING_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(A_    )

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

            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`
        SCREAMING_SNAKE_CASE__       							= SampleObjecta.from_config(config.config    )
        assert new_config.f == [5, 4]

        config.config._use_default_values.pop()
        SCREAMING_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 numpy as np

_A				:							List[Any]							= [
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]



class 				__snake_case  :


    '''simple docstring'''







    def __init__(					self    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= np.array(A_    )



    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__							,		SCREAMING_SNAKE_CASE__       							= np.where(letter == self.SQUARE    )
        SCREAMING_SNAKE_CASE__       							= np.concatenate([indexa + 1, indexa + 1]    )
        return indexes



    def    lowercase_				(					self      ,							A_      ,							A_    ):





        '''simple docstring'''

        return self.SQUARE[indexa - 1, indexa - 1]



    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= message.lower()
        SCREAMING_SNAKE_CASE__       							= message.replace('''j'''      ,							'''i'''    )

        SCREAMING_SNAKE_CASE__       							= ''''''
        for letter_index in range(len(A_    )    ):
            if message[letter_index] != " ":
                SCREAMING_SNAKE_CASE__       							= self.letter_to_numbers(message[letter_index]    )
                SCREAMING_SNAKE_CASE__       							= encoded_message + str(numbers[0]    ) + str(numbers[1]    )
            elif message[letter_index] == " ":
                SCREAMING_SNAKE_CASE__       							= encoded_message + ''' '''

        return encoded_message




    def    lowercase_				(					self      ,							A_    ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__       							= message.replace(''' '''      ,							'''  '''    )
        SCREAMING_SNAKE_CASE__       							= ''''''
        for numbers_index in range(int(len(A_    ) / 2    )    ):
            if message[numbers_index * 2] != " ":
                SCREAMING_SNAKE_CASE__       							= message[numbers_index * 2]
                SCREAMING_SNAKE_CASE__       							= message[numbers_index * 2 + 1]

                SCREAMING_SNAKE_CASE__       							= self.numbers_to_letter(int(A_    )      ,							int(A_    )    )
                SCREAMING_SNAKE_CASE__       							= decoded_message + letter
            elif message[numbers_index * 2] == " ":
                SCREAMING_SNAKE_CASE__       							= decoded_message + ''' '''

        return decoded_message
