






"""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
A_      =							'''src/diffusers'''
A_      =							'''.'''


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




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




def        _lowerCAmelCase						(							UpperCAmelCase__    :   List[str] )						->Union[str, Any]:
						A__  :					Any											=					object_name.split(""".""" )
						A__  :					int											=					0

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

						with open(os.path.join(UpperCAmelCase__,  f'{module}.py' ),  """r""",  encoding="""utf-8""",  newline="""\n""" ) as f:
												A__  :					List[Any]											=					f.readlines()

						# Now let's find the class / func in the code!
						A__  :					Optional[Any]											=					""""""
						A__  :					Any											=					0
						for name in parts[i + 1 :]:
												while (
												    line_index < len(UpperCAmelCase__ ) 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(UpperCAmelCase__ ):
												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__  :					List[Any]											=					line_index
						while line_index < len(UpperCAmelCase__ ) and _should_continue(lines[line_index],  UpperCAmelCase__ ):
												line_index += 1
						# Clean up empty lines at the end (if any).
						while len(lines[line_index - 1] ) <= 1:
												line_index -= 1

						A__  :					List[Any]											=					lines[start_index:line_index]
						return "".join(UpperCAmelCase__ )


A_      =							re.compile(r'''^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)''')
A_      =							re.compile(r'''^\s*(\S+)->(\S+)(\s+.*|$)''')
A_      =							re.compile(r'''<FILL\s+[^>]*>''')




def        _lowerCAmelCase						(							UpperCAmelCase__    :   List[str] )						->Optional[Any]:
						A__  :					Dict											=					code.split("""\n""" )
						A__  :					List[Any]											=					0
						while idx < len(UpperCAmelCase__ ) and len(lines[idx] ) == 0:
												idx += 1
						if idx < len(UpperCAmelCase__ ):
												return re.search(R"""^(\s*)\S""",  lines[idx] ).groups()[0]
						return ""




def        _lowerCAmelCase						(							UpperCAmelCase__    :   Optional[Any] )						->int:
						A__  :					str											=					len(get_indent(UpperCAmelCase__ ) ) > 0
						if has_indent:
												A__  :					Union[str, Any]											=					f'class Bla:\n{code}'
						A__  :					Optional[Any]											=					black.Mode(target_versions={black.TargetVersion.PYaa},  line_length=1_1_9,  preview=UpperCAmelCase__ )
						A__  :					Tuple											=					black.format_str(UpperCAmelCase__,  mode=UpperCAmelCase__ )
						A__					,					A__  :					List[Any]											=					style_docstrings_in_code(UpperCAmelCase__ )
						return result[len("""class Bla:\n""" ) :] if has_indent else result




def        _lowerCAmelCase						(							UpperCAmelCase__    :   Any,  UpperCAmelCase__    :   Dict=False )						->List[Any]:
						with open(UpperCAmelCase__,  """r""",  encoding="""utf-8""",  newline="""\n""" ) as f:
												A__  :					int											=					f.readlines()
						A__  :					Dict											=					[]
						A__  :					List[str]											=					0
						# Not a for loop cause `lines` is going to change (if `overwrite=True`).
						while line_index < len(UpperCAmelCase__ ):
												A__  :					Dict											=					_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__  :					Dict											=					search.groups()
												A__  :					Tuple											=					find_code_in_diffusers(UpperCAmelCase__ )
												A__  :					int											=					get_indent(UpperCAmelCase__ )

												A__  :					List[str]											=					line_index + 1 if indent == theoretical_indent else line_index + 2
												A__  :					Tuple											=					theoretical_indent
												A__  :					Optional[Any]											=					start_index

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

												A__  :					Dict											=					lines[start_index:line_index]
												A__  :					Tuple											=					"""""".join(UpperCAmelCase__ )

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

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

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

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




def        _lowerCAmelCase						(							UpperCAmelCase__    :   bool = False )						->Any:
						A__  :					Dict											=					glob.glob(os.path.join(UpperCAmelCase__,  """**/*.py""" ),  recursive=UpperCAmelCase__ )
						A__  :					str											=					[]
						for filename in all_files:
												A__  :					Any											=					is_copy_consistent(UpperCAmelCase__,  UpperCAmelCase__ )
												diffs += [f'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
						if not overwrite and len(UpperCAmelCase__ ) > 0:
												A__  :					Any											=					"""\n""".join(UpperCAmelCase__ )
												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__":
						A_      =							argparse.ArgumentParser()
						parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
						A_      =							parser.parse_args()

						check_copies(args.fix_and_overwrite)














"""simple docstring"""



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
from ..auto import CONFIG_MAPPING


A_      =							logging.get_logger(__name__)

A_      =							{
    '''microsoft/table-transformer-detection''': (
        '''https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'''
    ),
}






class 							__SCREAMING_SNAKE_CASE  (			UpperCamelCase						):
							snake_case_       =							'table-transformer'
							snake_case_       =							['past_key_values']
							snake_case_       =							{
							    'hidden_size': 'd_model',
							    'num_attention_heads': 'encoder_attention_heads',
							}


							def __init__(     self :  Dict     ,      snake_case :  int=True     ,      snake_case :  Dict=None     ,      snake_case :  Union[str, Any]=3     ,      snake_case :  Dict=100     ,      snake_case :  Tuple=6     ,      snake_case :  Optional[int]=2048     ,      snake_case :  int=8     ,      snake_case :  Dict=6     ,      snake_case :  Any=2048     ,      snake_case :  str=8     ,      snake_case :  Union[str, Any]=0.0     ,      snake_case :  List[str]=0.0     ,      snake_case :  List[str]=True     ,      snake_case :  Any="relu"     ,      snake_case :  str=256     ,      snake_case :  int=0.1     ,      snake_case :  Dict=0.0     ,      snake_case :  str=0.0     ,      snake_case :  Union[str, Any]=0.02     ,      snake_case :  Union[str, Any]=1.0     ,      snake_case :  Optional[Any]=False     ,      snake_case :  int="sine"     ,      snake_case :  Optional[Any]="resnet50"     ,      snake_case :  Optional[int]=True     ,      snake_case :  Any=False     ,      snake_case :  int=1     ,      snake_case :  Tuple=5     ,      snake_case :  Optional[int]=2     ,      snake_case :  Tuple=1     ,      snake_case :  Optional[Any]=1     ,      snake_case :  Optional[Any]=5     ,      snake_case :  Dict=2     ,      snake_case :  Any=0.1     ,      **snake_case :  Any     ,      ):
													'''simple docstring'''





													if backbone_config is not None and use_timm_backbone:
																			raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`."""							)

													if not use_timm_backbone:
																			if backbone_config is None:
																									logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""							)
																									A__  :					Optional[Any]											=					CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]							)
																			elif isinstance(snake_case     ,      snake_case							):
																									A__  :					Optional[int]											=					backbone_config.get("""model_type"""							)
																									A__  :					Optional[int]											=					CONFIG_MAPPING[backbone_model_type]
																									A__  :					List[str]											=					config_class.from_dict(snake_case							)
																			# set timm attributes to None
																			A__					,					A__					,					A__  :					str											=					None, None, None

													A__  :					Tuple											=					use_timm_backbone
													A__  :					str											=					backbone_config
													A__  :					str											=					num_channels
													A__  :					List[Any]											=					num_queries
													A__  :					Optional[Any]											=					d_model
													A__  :					Tuple											=					encoder_ffn_dim
													A__  :					Union[str, Any]											=					encoder_layers
													A__  :					List[Any]											=					encoder_attention_heads
													A__  :					Optional[int]											=					decoder_ffn_dim
													A__  :					Any											=					decoder_layers
													A__  :					int											=					decoder_attention_heads
													A__  :					Any											=					dropout
													A__  :					Dict											=					attention_dropout
													A__  :					Dict											=					activation_dropout
													A__  :					Tuple											=					activation_function
													A__  :					List[str]											=					init_std
													A__  :					List[str]											=					init_xavier_std
													A__  :					Any											=					encoder_layerdrop
													A__  :					Optional[Any]											=					decoder_layerdrop
													A__  :					Union[str, Any]											=					encoder_layers
													A__  :					Dict											=					auxiliary_loss
													A__  :					List[Any]											=					position_embedding_type
													A__  :					Optional[Any]											=					backbone
													A__  :					str											=					use_pretrained_backbone
													A__  :					Union[str, Any]											=					dilation
													# Hungarian matcher
													A__  :					Tuple											=					class_cost
													A__  :					Optional[Any]											=					bbox_cost
													A__  :					Dict											=					giou_cost
													# Loss coefficients
													A__  :					Any											=					mask_loss_coefficient
													A__  :					str											=					dice_loss_coefficient
													A__  :					str											=					bbox_loss_coefficient
													A__  :					Union[str, Any]											=					giou_loss_coefficient
													A__  :					List[str]											=					eos_coefficient
													super().__init__(is_encoder_decoder=snake_case     ,      **snake_case							)


							@property
							def   _UpperCamelCase    (     self :  List[str]							):
													'''simple docstring'''





													return self.encoder_attention_heads


							@property
							def   _UpperCamelCase    (     self :  Dict							):
													'''simple docstring'''





													return self.d_model






class 							__SCREAMING_SNAKE_CASE  (			UpperCamelCase						):
							snake_case_       =							version.parse('1.11'						)


							@property
							def   _UpperCamelCase    (     self :  Any							):
													'''simple docstring'''





													return OrderedDict(
													    [
													        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
													        ("""pixel_mask""", {0: """batch"""}),
													    ]							)


							@property
							def   _UpperCamelCase    (     self :  Optional[int]							):
													'''simple docstring'''





													return 1e-5


							@property
							def   _UpperCamelCase    (     self :  List[str]							):
													'''simple docstring'''





													return 12






