


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 : Optional[int]		=				'''src/diffusers'''
a : int		=				'''.'''


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


def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase  ):


			'''simple docstring'''







			return line.startswith(__SCREAMING_SNAKE_CASE  ) or len(__SCREAMING_SNAKE_CASE  ) <= 1 or re.search(r'''^\s*\)(\s*->.*:|:)\s*$'''       ,			__SCREAMING_SNAKE_CASE  ) is not None


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   object_name.split('''.'''  )
			__lowercase 					=   0

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

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

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

			__lowercase 					=   lines[start_index:line_index]
			return "".join(__SCREAMING_SNAKE_CASE  )


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


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   code.split('''\n'''  )
			__lowercase 					=   0
			while idx < len(__SCREAMING_SNAKE_CASE  ) and len(lines[idx]  ) == 0:
						idx += 1
			if idx < len(__SCREAMING_SNAKE_CASE  ):
						return re.search(r'''^(\s*)\S'''       ,			lines[idx]  ).groups()[0]
			return ""


def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







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


def 		lowercase_  (     _UpperCamelCase       ,			_UpperCamelCase=False  ):


			'''simple docstring'''







			with open(__SCREAMING_SNAKE_CASE       ,			'''r'''       ,			encoding='''utf-8'''       ,			newline='''\n'''  ) as f:
						__lowercase 					=   f.readlines()
			__lowercase 					=   []
			__lowercase 					=   0
			# Not a for loop cause `lines` is going to change (if `overwrite=True`).
			while line_index < len(__SCREAMING_SNAKE_CASE  ):
						__lowercase 					=   _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.
						__lowercase 					=   search.groups()
						__lowercase 					=   find_code_in_diffusers(__SCREAMING_SNAKE_CASE  )
						__lowercase 					=   get_indent(__SCREAMING_SNAKE_CASE  )

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

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

						__lowercase 					=   lines[start_index:line_index]
						__lowercase 					=   "".join(__SCREAMING_SNAKE_CASE  )

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

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

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

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


def 		lowercase_  (     _UpperCamelCase = False  ):


			'''simple docstring'''







			__lowercase 					=   glob.glob(os.path.join(__SCREAMING_SNAKE_CASE       ,			'''**/*.py'''  )       ,			recursive=__SCREAMING_SNAKE_CASE  )
			__lowercase 					=   []
			for filename in all_files:
						__lowercase 					=   is_copy_consistent(__SCREAMING_SNAKE_CASE       ,			__SCREAMING_SNAKE_CASE  )
						diffs += [F'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
			if not overwrite and len(__SCREAMING_SNAKE_CASE  ) > 0:
						__lowercase 					=   "\n".join(__SCREAMING_SNAKE_CASE  )
						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 : Optional[Any]		=				argparse.ArgumentParser()
	parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
	a : Any		=				parser.parse_args()

	check_copies(args.fix_and_overwrite)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a : List[str]		=				{
    '''configuration_table_transformer''': [
        '''TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''TableTransformerConfig''',
        '''TableTransformerOnnxConfig''',
    ]
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a : Union[str, Any]		=				[
	    '''TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TableTransformerForObjectDetection''',
	    '''TableTransformerModel''',
	    '''TableTransformerPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_table_transformer import (
	    TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    TableTransformerConfig,
	    TableTransformerOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_table_transformer import (
		    TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TableTransformerForObjectDetection,
		    TableTransformerModel,
		    TableTransformerPreTrainedModel,
		)

else:
	import sys

	a : Any		=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


