





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 						_A( snake_case__       ):


    """simple docstring"""


    UpperCamelCase   :  str    =     '''config.json'''



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





class 						_A( snake_case__       ):


    """simple docstring"""


    UpperCamelCase   :  Tuple    =     '''config.json'''



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





class 						_A( snake_case__       ):


    """simple docstring"""


    UpperCamelCase   :  List[Any]    =     '''config.json'''



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





class 						_A( snake_case__       ):


    """simple docstring"""


    UpperCamelCase   :  Dict    =     '''config.json'''



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





class 						_A( unittest.TestCase       ):


    """simple docstring"""


    def  UpperCAmelCase_		(      self					):
         with self.assertRaises(_A					):
              ConfigMixin.load_config('dummy_path'					)



    def  UpperCAmelCase_		(      self					):
         __A     :						List[Any]          =    SampleObject()
         __A     :						Dict          =    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
         __A     :						Optional[int]          =    SampleObject(_name_or_path='lalala'					)
         __A     :						Tuple          =    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
         __A     :						Union[str, Any]          =    SampleObject(c=6					)
         __A     :						List[str]          =    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.
         __A     :						int          =    SampleObject(1					, c=6					)
         __A     :						Optional[Any]          =    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  UpperCAmelCase_		(      self					):
         __A     :						str          =    SampleObject()
         __A     :						Optional[Any]          =    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					)
              __A     :						int          =    SampleObject.from_config(SampleObject.load_config(_A					)					)
              __A     :						Any          =    new_obj.config

         # unfreeze configs
         __A     :						str          =    dict(_A					)
         __A     :						Tuple          =    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  UpperCAmelCase_		(      self					):
         __A     :						Union[str, Any]          =    logging.get_logger('diffusers.configuration_utils'					)
         # 30 for warning
         logger.setLevel(30					)

         with CaptureLogger(_A					) as cap_logger:
              __A     :						Optional[Any]          =    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  UpperCAmelCase_		(      self					):
         __A     :						List[Any]          =    logging.get_logger('diffusers.configuration_utils'					)
         # 30 for warning
         logger.setLevel(30					)

         with CaptureLogger(_A					) as cap_logger:
              __A     :						Optional[Any]          =    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  UpperCAmelCase_		(      self					):
         __A     :						Tuple          =    logging.get_logger('diffusers.configuration_utils'					)
         # 30 for warning
         logger.setLevel(30					)

         with CaptureLogger(_A					) as cap_logger:
              __A     :						Any          =    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  UpperCAmelCase_		(      self					):
         __A     :						Tuple          =    logging.get_logger('diffusers.configuration_utils'					)
         # 30 for warning
         logger.setLevel(30					)

         with CaptureLogger(_A					) as cap_logger:
              __A     :						Optional[int]          =    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  UpperCAmelCase_		(      self					):
         __A     :						List[str]          =    logging.get_logger('diffusers.configuration_utils'					)
         # 30 for warning
         logger.setLevel(30					)

         with CaptureLogger(_A					) as cap_logger:
              __A     :						Optional[int]          =    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:
              __A     :						Any          =    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  UpperCAmelCase_		(      self					):
         __A     :						List[str]          =    logging.get_logger('diffusers.configuration_utils'					)
         # 30 for warning
         logger.setLevel(30					)

         with CaptureLogger(_A					) as cap_logger:
              __A     :						Union[str, Any]          =    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  UpperCAmelCase_		(      self					):
         # let's first save a config that should be in the form
         #    a=2,
         #    b=5,
         #    c=(2, 5),
         #    d="for diffusion",
         #    e=[1, 3],

         __A     :						Dict          =    SampleObject()

         __A     :						Optional[Any]          =    {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`
              __A     :						int          =    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`
         __A     :						Union[str, Any]          =    SampleObjecta.from_config(config.config					)
         assert new_config.f == [5, 4]

         config.config._use_default_values.pop()
         __A     :						Tuple          =    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]











from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase						:       str        =					logging.get_logger(__name__)

UpperCAmelCase						:       Optional[Any]        =					{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}





class 						_A( snake_case__       ):


				"""simple docstring"""


				UpperCamelCase   :  Union[str, Any]    =     '''swiftformer'''



				def __init__(      self					, _A=3					, _A=[3, 3, 6, 4]					, _A=[48, 56, 112, 220]					, _A=4					, _A=[True, True, True, True]					, _A="gelu"					, _A=3					, _A=2					, _A=1					, _A=0.0					, _A=True					, _A=1e-5					, _A=1e-5					, **_A					, ):
									super().__init__(**_A					)
									__A     :						List[Any]          =    num_channels
									__A     :						List[Any]          =    depths
									__A     :						int          =    embed_dims
									__A     :						Union[str, Any]          =    mlp_ratio
									__A     :						List[str]          =    downsamples
									__A     :						str          =    hidden_act
									__A     :						Any          =    down_patch_size
									__A     :						Any          =    down_stride
									__A     :						Any          =    down_pad
									__A     :						List[Any]          =    drop_path_rate
									__A     :						str          =    use_layer_scale
									__A     :						Dict          =    layer_scale_init_value
									__A     :						Union[str, Any]          =    batch_norm_eps





class 						_A( snake_case__       ):


				"""simple docstring"""


				UpperCamelCase   :  Optional[Any]    =     version.parse('''1.11'''       )



				@property
				def  UpperCAmelCase_		(      self					):
									return OrderedDict(
									    [
									        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
									    ]					)





				@property
				def  UpperCAmelCase_		(      self					):
									return 1e-4




