






from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

a 			=							TypeVar('T')
a 			=							TypeVar('U')
class 							__snake_case(       Generic[T, U]   ):



 def __init__(						self : List[Any]			,		UpperCAmelCase__ : T | None			,		UpperCAmelCase__ : U | None						):

    """simple docstring"""






    lowercase__    :						Tuple       =			key
    lowercase__    :						Optional[int]       =			val
    lowercase__    :						List[Any]       =			0
    lowercase__    :						Tuple       =			None
    lowercase__    :						Optional[int]       =			None







 def __repr__(						self : List[str]						):

    """simple docstring"""






    return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
        self.key			,		self.val			,		self.freq			,		self.next is not None			,		self.prev is not None						)
class 							__snake_case(       Generic[T, U]   ):



 def __init__(						self : Dict						):

    """simple docstring"""






    lowercase__    :						int       =			DoubleLinkedListNode(lowercase__			,		lowercase__						)
    lowercase__    :						Union[str, Any]       =			DoubleLinkedListNode(lowercase__			,		lowercase__						)
    lowercase__  ,       lowercase__    :						Any       =			self.rear, self.head



 def __repr__(						self : Optional[Any]						):

    """simple docstring"""






    lowercase__    :						int       =			["""DoubleLinkedList"""]
    lowercase__    :						List[Any]       =			self.head
    while node.next is not None:
       rep.append(str(lowercase__						)						)
       lowercase__    :						Tuple       =			node.next
    rep.append(str(self.rear						)						)
    return ",\n    ".join(lowercase__						)



 def     UpperCAmelCase     (						self : List[str]			,		UpperCAmelCase__ : DoubleLinkedListNode[T, U]						):

    """simple docstring"""






    lowercase__    :						int       =			self.rear.prev

    # All nodes other than self.head are guaranteed to have non-None previous
    assert previous is not None

    lowercase__    :						Optional[Any]       =			node
    lowercase__    :						List[Any]       =			previous
    lowercase__    :						Dict       =			node
    lowercase__    :						Any       =			self.rear
    node.freq += 1
    self._position_node(lowercase__						)



 def     UpperCAmelCase     (						self : Tuple			,		UpperCAmelCase__ : DoubleLinkedListNode[T, U]						):

    """simple docstring"""






    while node.prev is not None and node.prev.freq > node.freq:
       # swap node with previous node
       lowercase__    :						Union[str, Any]       =			node.prev

       lowercase__    :						Any       =			previous_node.prev
       lowercase__    :						Optional[Any]       =			node.prev
       lowercase__    :						Dict       =			previous_node
       lowercase__    :						Any       =			node







 def     UpperCAmelCase     (						self : int			,		UpperCAmelCase__ : DoubleLinkedListNode[T, U]						):

    """simple docstring"""






    if node.prev is None or node.next is None:
       return None

    lowercase__    :						Optional[Any]       =			node.next
    lowercase__    :						Any       =			node.prev
    lowercase__    :						str       =			None
    lowercase__    :						str       =			None
    return node
class 							__snake_case(       Generic[T, U]   ):
 lowercase			:							dict[Callable[[T], U], LFUCache[T, U]]		   =		{}



 def __init__(						self : Tuple			,		UpperCAmelCase__ : int						):

    """simple docstring"""






    lowercase__    :						Optional[Any]       =			DoubleLinkedList()
    lowercase__    :						Any       =			capacity
    lowercase__    :						str       =			0
    lowercase__    :						Tuple       =			0
    lowercase__    :						List[Any]       =			0
    lowercase__    :						Union[str, Any]       =			{}



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

    """simple docstring"""






    return (
        f'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
        f'''capacity={self.capacity}, current_size={self.num_keys})'''
    )



 def __contains__(						self : int			,		UpperCAmelCase__ : T						):

    """simple docstring"""






    return key in self.cache



 def     UpperCAmelCase     (						self : Optional[Any]			,		UpperCAmelCase__ : T						):

    """simple docstring"""






    if key in self.cache:
       self.hits += 1
       lowercase__    :						int       =			self.cache[key]
       lowercase__    :						Optional[Any]       =			self.list.remove(self.cache[key]						)
       assert node == value_node

       # node is guaranteed not None because it is in self.cache
       assert node is not None
       self.list.add(lowercase__						)
       return node.val
    self.miss += 1
    return None



 def     UpperCAmelCase     (						self : Dict			,		UpperCAmelCase__ : T			,		UpperCAmelCase__ : U						):

    """simple docstring"""






    if key not in self.cache:
       if self.num_keys >= self.capacity:
          # delete first node when over capacity
          lowercase__    :						Dict       =			self.list.head.next

          # guaranteed to have a non-None first node when num_keys > 0
          # explain to type checker via assertions
          assert first_node is not None
          assert first_node.key is not None
          assert self.list.remove(lowercase__						) is not None
          # first_node guaranteed to be in list

          del self.cache[first_node.key]
          self.num_keys -= 1
       lowercase__    :						Tuple       =			DoubleLinkedListNode(lowercase__			,		lowercase__						)
       self.list.add(self.cache[key]						)
       self.num_keys += 1

    else:
       lowercase__    :						Union[str, Any]       =			self.list.remove(self.cache[key]						)
       assert node is not None  # node guaranteed to be in list
       lowercase__    :						Union[str, Any]       =			value
       self.list.add(lowercase__						)







 @classmethod
 def     UpperCAmelCase     (						cls : type[LFUCache[T, U]]			,		UpperCAmelCase__ : int = 128						):

    """simple docstring"""






    def cache_decorator_inner(UpperCAmelCase__ : Callable[[T], U]						) -> Callable[..., U]:
       def cache_decorator_wrapper(*UpperCAmelCase__ : T						) -> U:
          if func not in cls.decorator_function_to_instance_map:
             lowercase__    :						Union[str, Any]       =			LFUCache(lowercase__						)

          lowercase__    :						Union[str, Any]       =			cls.decorator_function_to_instance_map[func].get(args[0]						)
          if result is None:
             lowercase__    :						Any       =			func(*lowercase__						)
             cls.decorator_function_to_instance_map[func].put(args[0]			,		lowercase__						)
          return result

       def cache_info() -> LFUCache[T, U]:
          return cls.decorator_function_to_instance_map[func]

       setattr(lowercase__			,		"""cache_info"""			,		lowercase__						)  # noqa: B010

       return cache_decorator_wrapper

    return cache_decorator_inner


if __name__ == "__main__":
 import doctest

 doctest.testmod()







import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
		from .testing_utils import (
		    floats_tensor,
		    load_hf_numpy,
		    load_image,
		    load_numpy,
		    load_pt,
		    nightly,
		    parse_flag_from_env,
		    print_tensor_test,
		    require_torch_a,
		    require_torch_gpu,
		    skip_mps,
		    slow,
		    torch_all_close,
		    torch_device,
		)
		from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


__magic_name__       =     get_logger(__name__)





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					if version.parse(_UpperCAmelCase				) < version.parse(_UpperCAmelCase				):
										if "dev" in min_version:
															lowercase						   =       (
															    'This example requires a source install from HuggingFace diffusers (see '
															    '`https://huggingface.co/docs/diffusers/installation#install-from-source`),'
															)
										else:
															lowercase						   =       f"""This example requires a minimum version of {min_version},"""
										error_message += f""" but the version found is {__version__}.\n"""
										raise ImportError(_UpperCAmelCase				)






