





from typing import Tuple, Union

from ...modeling_outputs import BackboneOutput
from ...modeling_utils import PreTrainedModel
from ...utils import is_timm_available, is_torch_available, requires_backends
from ...utils.backbone_utils import BackboneMixin
from .configuration_timm_backbone import TimmBackboneConfig


if is_timm_available():
     import timm


if is_torch_available():
     from torch import Tensor



class 							_UpperCAmelCase       (       _UpperCamelCase						,       _UpperCamelCase       ):

  """simple docstring"""


  a_              =					"""pixel_values"""
  a_              =					False
  a_              =					TimmBackboneConfig






  def __init__(							self					:						Tuple   ,    lowerCAmelCase_					:						Any   ,    **lowerCAmelCase_					:						Optional[int]	)				->		Optional[Any]:
     requires_backends(self   ,    'timm'	)
     super().__init__(lowerCAmelCase_	)
     __lowerCAmelCase				      =      config

     if config.backbone is None:
        raise ValueError('backbone is not set in the config. Please set it to a timm model name.'	)

     if config.backbone not in timm.list_models():
        raise ValueError(f"""backbone {config.backbone} is not supported by timm."""	)

     if hasattr(lowerCAmelCase_   ,    'out_features'	) and config.out_features is not None:
        raise ValueError('out_features is not supported by TimmBackbone. Please use out_indices instead.'	)

     __lowerCAmelCase				      =      getattr(lowerCAmelCase_   ,    'use_pretrained_backbone'   ,    lowerCAmelCase_	)
     if pretrained is None:
        raise ValueError('use_pretrained_backbone is not set in the config. Please set it to True or False.'	)

     # We just take the final layer by default. This matches the default for the transformers models.
     __lowerCAmelCase				      =      config.out_indices if getattr(lowerCAmelCase_   ,    'out_indices'   ,    lowerCAmelCase_	) is not None else (-1,)

     __lowerCAmelCase				      =      timm.create_model(
         config.backbone   ,    pretrained=lowerCAmelCase_   ,    features_only=config.features_only   ,    in_chans=config.num_channels   ,    out_indices=lowerCAmelCase_   ,    **lowerCAmelCase_   ,    )
     # These are used to control the output of the model when called. If output_hidden_states is True, then
     # return_layers is modified to include all layers.
     __lowerCAmelCase				      =      self._backbone.return_layers
     __lowerCAmelCase				      =      {layer['module']: str(lowerCAmelCase_	) for i, layer in enumerate(self._backbone.feature_info.info	)}
     super()._init_backbone(lowerCAmelCase_	)






  @classmethod
  def 							lowercase						(							cls					:						int   ,    lowerCAmelCase_					:						Dict   ,    *lowerCAmelCase_					:						Dict   ,    **lowerCAmelCase_					:						Union[str, Any]	)				->		Optional[int]:
     requires_backends(cls   ,    ['vision', 'timm']	)
     from ...models.timm_backbone import TimmBackboneConfig

     __lowerCAmelCase				      =      kwargs.pop('config'   ,    TimmBackboneConfig()	)

     __lowerCAmelCase				      =      kwargs.pop('use_timm_backbone'   ,    lowerCAmelCase_	)
     if not use_timm:
        raise ValueError('use_timm_backbone must be True for timm backbones'	)

     __lowerCAmelCase				      =      kwargs.pop('num_channels'   ,    config.num_channels	)
     __lowerCAmelCase				      =      kwargs.pop('features_only'   ,    config.features_only	)
     __lowerCAmelCase				      =      kwargs.pop('use_pretrained_backbone'   ,    config.use_pretrained_backbone	)
     __lowerCAmelCase				      =      kwargs.pop('out_indices'   ,    config.out_indices	)
     __lowerCAmelCase				      =      TimmBackboneConfig(
         backbone=lowerCAmelCase_   ,    num_channels=lowerCAmelCase_   ,    features_only=lowerCAmelCase_   ,    use_pretrained_backbone=lowerCAmelCase_   ,    out_indices=lowerCAmelCase_   ,    )
     return super()._from_config(lowerCAmelCase_   ,    **lowerCAmelCase_	)






  def 							lowercase						(							self					:						Tuple   ,    lowerCAmelCase_					:						int	)				->		Dict:
     pass






  def 							lowercase						(							self					:						Optional[int]   ,    lowerCAmelCase_					:						Union[str, Any]   ,    lowerCAmelCase_					:						List[Any]=None   ,    lowerCAmelCase_					:						List[str]=None   ,    lowerCAmelCase_					:						Any=None   ,    **lowerCAmelCase_					:						Dict	)				->		Union[BackboneOutput, Tuple[Tensor, ...]]:
     __lowerCAmelCase				      =      return_dict if return_dict is not None else self.config.use_return_dict
     __lowerCAmelCase				      =      (
         output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states
     )
     __lowerCAmelCase				      =      output_attentions if output_attentions is not None else self.config.output_attentions

     if output_attentions:
        raise ValueError('Cannot output attentions for timm backbones at the moment'	)

     if output_hidden_states:
        # We modify the return layers to include all the stages of the backbone
        __lowerCAmelCase				      =      self._all_layers
        __lowerCAmelCase				      =      self._backbone(lowerCAmelCase_   ,    **lowerCAmelCase_	)
        __lowerCAmelCase				      =      self._return_layers
        __lowerCAmelCase				      =      tuple(hidden_states[i] for i in self.out_indices	)
     else:
        __lowerCAmelCase				      =      self._backbone(lowerCAmelCase_   ,    **lowerCAmelCase_	)
        __lowerCAmelCase				      =      None

     __lowerCAmelCase				      =      tuple(lowerCAmelCase_	)
     __lowerCAmelCase				      =      tuple(lowerCAmelCase_	) if hidden_states is not None else None

     if not return_dict:
        __lowerCAmelCase				      =      (feature_maps,)
        if output_hidden_states:
           __lowerCAmelCase				      =      output + (hidden_states,)
        return output

     return BackboneOutput(feature_maps=lowerCAmelCase_   ,    hidden_states=lowerCAmelCase_   ,    attentions=lowerCAmelCase_	)








'''simple docstring'''

import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__lowerCAmelCase				:      Optional[Any]						      ="src/diffusers"
__lowerCAmelCase				:      Dict						      ="."


# This is to make sure the diffusers module imported is the one in the repo.
__lowerCAmelCase				:      int						      =importlib.util.spec_from_file_location(
    "diffusers",
    os.path.join(DIFFUSERS_PATH, "__init__.py"),
    submodule_search_locations=[DIFFUSERS_PATH],
)
__lowerCAmelCase				:      Dict						      =spec.loader.load_module()





def 		UpperCamelCase							(				_lowerCamelCase   :   int		,			_lowerCamelCase   :   Optional[Any]			):
    return line.startswith(_lowerCamelCase			) or len(_lowerCamelCase			) <= 1 or re.search(r"^\s*\)(\s*->.*:|:)\s*$"		,			_lowerCamelCase			) is not None





def 		UpperCamelCase							(				_lowerCamelCase   :   str			):
    A__							=     object_name.split("."			)
    A__							=     0

    # First let's find the module where our object lives.
    A__							=     parts[i]
    while i < len(_lowerCamelCase			) and not os.path.isfile(os.path.join(_lowerCamelCase		,			F"{module}.py"			)			):
        i += 1
        if i < len(_lowerCamelCase			):
            A__							=     os.path.join(_lowerCamelCase		,			parts[i]			)
    if i >= len(_lowerCamelCase			):
        raise ValueError(F"`object_name` should begin with the name of a module of diffusers but got {object_name}."			)

    with open(os.path.join(_lowerCamelCase		,			F"{module}.py"			)		,			"r"		,			encoding="utf-8"		,			newline="\n"			) as f:
        A__							=     f.readlines()

    # Now let's find the class / func in the code!
    A__							=     ""
    A__							=     0
    for name in parts[i + 1 :]:
        while (
            line_index < len(_lowerCamelCase			) and re.search(rF"^{indent}(class|def)\s+{name}(\(|\:)"		,			lines[line_index]			) is None
        ):
            line_index += 1
        indent += "    "
        line_index += 1

    if line_index >= len(_lowerCamelCase			):
        raise ValueError(F" {object_name} does not match any function or class in {module}."			)

    # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
    A__							=     line_index
    while line_index < len(_lowerCamelCase			) and _should_continue(lines[line_index]		,			_lowerCamelCase			):
        line_index += 1
    # Clean up empty lines at the end (if any).
    while len(lines[line_index - 1]			) <= 1:
        line_index -= 1

    A__							=     lines[start_index:line_index]
    return "".join(_lowerCamelCase			)


__lowerCAmelCase				:      Any						      =re.compile(R"^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)")
__lowerCAmelCase				:      List[Any]						      =re.compile(R"^\s*(\S+)->(\S+)(\s+.*|$)")
__lowerCAmelCase				:      Any						      =re.compile(R"<FILL\s+[^>]*>")





def 		UpperCamelCase							(				_lowerCamelCase   :   List[Any]			):
    A__							=     code.split("\n"			)
    A__							=     0
    while idx < len(_lowerCamelCase			) and len(lines[idx]			) == 0:
        idx += 1
    if idx < len(_lowerCamelCase			):
        return re.search(r"^(\s*)\S"		,			lines[idx]			).groups()[0]
    return ""





def 		UpperCamelCase							(				_lowerCamelCase   :   Tuple			):
    A__							=     len(get_indent(_lowerCamelCase			)			) > 0
    if has_indent:
        A__							=     F"class Bla:\n{code}"
    A__							=     black.Mode(target_versions={black.TargetVersion.PYaa}		,			line_length=1_19		,			preview=_lowerCamelCase			)
    A__							=     black.format_str(_lowerCamelCase		,			mode=_lowerCamelCase			)
    A__,      A__							=     style_docstrings_in_code(_lowerCamelCase			)
    return result[len("class Bla:\n"			) :] if has_indent else result





def 		UpperCamelCase							(				_lowerCamelCase   :   Tuple		,			_lowerCamelCase   :   List[str]=False			):
    with open(_lowerCamelCase		,			"r"		,			encoding="utf-8"		,			newline="\n"			) as f:
        A__							=     f.readlines()
    A__							=     []
    A__							=     0
    # Not a for loop cause `lines` is going to change (if `overwrite=True`).
    while line_index < len(_lowerCamelCase			):
        A__							=     _re_copy_warning.search(lines[line_index]			)
        if search is None:
            line_index += 1
            continue

        # There is some copied code here, let's retrieve the original.
        A__,      A__,      A__							=     search.groups()
        A__							=     find_code_in_diffusers(_lowerCamelCase			)
        A__							=     get_indent(_lowerCamelCase			)

        A__							=     line_index + 1 if indent == theoretical_indent else line_index + 2
        A__							=     theoretical_indent
        A__							=     start_index

        # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
        A__							=     True
        while line_index < len(_lowerCamelCase			) and should_continue:
            line_index += 1
            if line_index >= len(_lowerCamelCase			):
                break
            A__							=     lines[line_index]
            A__							=     _should_continue(_lowerCamelCase		,			_lowerCamelCase			) and re.search(F"^{indent}# End copy"		,			_lowerCamelCase			) is None
        # Clean up empty lines at the end (if any).
        while len(lines[line_index - 1]			) <= 1:
            line_index -= 1

        A__							=     lines[start_index:line_index]
        A__							=     "".join(_lowerCamelCase			)

        # Remove any nested `Copied from` comments to avoid circular copies
        A__							=     [line for line in theoretical_code.split("\n"			) if _re_copy_warning.search(_lowerCamelCase			) is None]
        A__							=     "\n".join(_lowerCamelCase			)

        # Before comparing, use the `replace_pattern` on the original code.
        if len(_lowerCamelCase			) > 0:
            A__							=     replace_pattern.replace("with"		,			""			).split(","			)
            A__							=     [_re_replace_pattern.search(_lowerCamelCase			) for p in patterns]
            for pattern in patterns:
                if pattern is None:
                    continue
                A__,      A__,      A__							=     pattern.groups()
                A__							=     re.sub(_lowerCamelCase		,			_lowerCamelCase		,			_lowerCamelCase			)
                if option.strip() == "all-casing":
                    A__							=     re.sub(obja.lower()		,			obja.lower()		,			_lowerCamelCase			)
                    A__							=     re.sub(obja.upper()		,			obja.upper()		,			_lowerCamelCase			)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
            A__							=     blackify(lines[start_index - 1] + theoretical_code			)
            A__							=     theoretical_code[len(lines[start_index - 1]			) :]

        # Test for a diff and act accordingly.
        if observed_code != theoretical_code:
            diffs.append([object_name, start_index]			)
            if overwrite:
                A__							=     lines[:start_index] + [theoretical_code] + lines[line_index:]
                A__							=     start_index + 1

    if overwrite and len(_lowerCamelCase			) > 0:
        # Warn the user a file has been modified.
        print(F"Detected changes, rewriting {filename}."			)
        with open(_lowerCamelCase		,			"w"		,			encoding="utf-8"		,			newline="\n"			) as f:
            f.writelines(_lowerCamelCase			)
    return diffs





def 		UpperCamelCase							(				_lowerCamelCase   :   bool = False			):
    A__							=     glob.glob(os.path.join(_lowerCamelCase		,			"**/*.py"			)		,			recursive=_lowerCamelCase			)
    A__							=     []
    for filename in all_files:
        A__							=     is_copy_consistent(_lowerCamelCase		,			_lowerCamelCase			)
        diffs += [F"- {filename}: copy does not match {d[0]} at line {d[1]}" for d in new_diffs]
    if not overwrite and len(_lowerCamelCase			) > 0:
        A__							=     "\n".join(_lowerCamelCase			)
        raise Exception(
            "Found the following copy inconsistencies:\n"
            + diff
            + "\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."			)


if __name__ == "__main__":
  __lowerCAmelCase				:      Union[str, Any]						      =argparse.ArgumentParser()
  parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
  __lowerCAmelCase				:      int						      =parser.parse_args()

  check_copies(args.fix_and_overwrite)



