






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

def _UpperCAmelCase (						a    :						List[str]			):
							snake_case__							=							object_name.split("""."""			)
							snake_case__							=							0

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

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

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

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


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

def _UpperCAmelCase (						a    :						Union[str, Any]			):
							snake_case__							=							len(get_indent(__lowercase			)			) > 0
							if has_indent:
														snake_case__							=							F'''class Bla:\n{code}'''
							snake_case__							=							black.Mode(target_versions={black.TargetVersion.PYaa}	,       line_length=119	,       preview=__lowercase			)
							snake_case__							=							black.format_str(__lowercase	,       mode=__lowercase			)
							snake_case__							=							style_docstrings_in_code(__lowercase			)
							return result[len("""class Bla:\n"""			) :] if has_indent else result

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

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

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

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

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

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

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

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

def _UpperCAmelCase (						a    :						str = False			):
							snake_case__							=							glob.glob(os.path.join(__lowercase	,       """**/*.py"""			)	,       recursive=__lowercase			)
							snake_case__							=							[]
							for filename in all_files:
														snake_case__							=							is_copy_consistent(__lowercase	,       __lowercase			)
														diffs += [F'''- {filename}: copy does not match {d[0]} at line {d[1]}''' for d in new_diffs]
							if not overwrite and len(__lowercase			) > 0:
														snake_case__							=							"""\n""".join(__lowercase			)
														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'''







# We ignore warnings about stepping the scheduler since we step it ourselves during gradient accumulation

import warnings

from .state import AcceleratorState, GradientState


warnings.filterwarnings("""ignore""", category=UserWarning, module="""torch.optim.lr_scheduler""")







class 					_a :





     '''simple docstring'''



     def __init__(				self							,__a							,__a							,__a = True							,__a = False							)      ->				Dict:
          snake_case			:      List[Any]        =			scheduler
          snake_case			:      List[Any]        =			optimizers if isinstance(__a							,(list, tuple)							) else [optimizers]
          snake_case			:      List[str]        =			split_batches
          snake_case			:      List[str]        =			step_with_optimizer
          snake_case			:      int        =			GradientState()







     def 			snake_case_      (				self							,*__a							,**__a							)      ->				Optional[Any]:
          if not self.step_with_optimizer:
               # No link between scheduler and optimizer -> just step
               self.scheduler.step(*__a							,**__a							)
               return

          # Otherwise, first make sure the optimizer was stepped.
          if not self.gradient_state.sync_gradients:
               if self.gradient_state.adjust_scheduler:
                    self.scheduler._step_count += 1
               return

          for opt in self.optimizers:
               if opt.step_was_skipped:
                    return
          if self.split_batches:
               # Split batches -> the training dataloader batch size is not changed so one step per training step
               self.scheduler.step(*__a							,**__a							)
          else:
               # Otherwise the training dataloader batch size was multiplied by `num_processes`, so we need to do
               # num_processes steps per training step
               snake_case			:      List[str]        =			AcceleratorState().num_processes
               for _ in range(__a							):
                    # Special case when using OneCycle and `drop_last` was not used
                    if hasattr(self.scheduler							,"""total_steps"""							):
                         if self.scheduler._step_count <= self.scheduler.total_steps:
                              self.scheduler.step(*__a							,**__a							)
                    else:
                         self.scheduler.step(*__a							,**__a							)







     def 			snake_case_      (				self							)      ->				Dict:
          return self.scheduler.get_last_lr()







     def 			snake_case_      (				self							)      ->				int:
          return self.scheduler.state_dict()







     def 			snake_case_      (				self							,__a							)      ->				Any:
          self.scheduler.load_state_dict(__a							)







     def 			snake_case_      (				self							)      ->				Any:
          return self.scheduler.get_lr()







     def 			snake_case_      (				self							,*__a							,**__a							)      ->				Optional[Any]:
          return self.scheduler.print_lr(*__a							,**__a							)



