


import argparse
import os
import re


_UpperCAmelCase			:  Optional[Any]     ="""src/diffusers"""

# Pattern that looks at the indentation in a line.
_UpperCAmelCase			:  Tuple     =re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
_UpperCAmelCase			:  Dict     =re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_UpperCAmelCase			:  Dict     =re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
_UpperCAmelCase			:  Optional[Any]     =re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_UpperCAmelCase			:  Tuple     =re.compile(R"""\[([^\]]+)\]""")



def 			lowerCAmelCase (		lowerCAmelCase_ )-> List[str]:
				lowerCAmelCase_ :      List[Any]    				=				_re_indent.search(lowerCAmelCase_ )
				return "" if search is None else search.groups()[0]



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_="" ,   lowerCAmelCase_=None ,   lowerCAmelCase_=None )-> str:
				lowerCAmelCase_ :      List[Any]    				=				0
				lowerCAmelCase_ :      str    				=				code.split('''\n''' )
				if start_prompt is not None:
								while not lines[index].startswith(lowerCAmelCase_ ):
												index += 1
								lowerCAmelCase_ :      List[str]    				=				['''\n'''.join(lines[:index] )]
				else:
								lowerCAmelCase_ :      Optional[Any]    				=				[]

				# We split into blocks until we get to the `end_prompt` (or the end of the block).
				lowerCAmelCase_ :      str    				=				[lines[index]]
				index += 1
				while index < len(lowerCAmelCase_ ) and (end_prompt is None or not lines[index].startswith(lowerCAmelCase_ )):
								if len(lines[index] ) > 0 and get_indent(lines[index] ) == indent_level:
												if len(lowerCAmelCase_ ) > 0 and get_indent(current_block[-1] ).startswith(indent_level + ''' ''' ):
																current_block.append(lines[index] )
																blocks.append('''\n'''.join(lowerCAmelCase_ ) )
																if index < len(lowerCAmelCase_ ) - 1:
																				lowerCAmelCase_ :      int    				=				[lines[index + 1]]
																				index += 1
																else:
																				lowerCAmelCase_ :      Tuple    				=				[]
												else:
																blocks.append('''\n'''.join(lowerCAmelCase_ ) )
																lowerCAmelCase_ :      str    				=				[lines[index]]
								else:
												current_block.append(lines[index] )
								index += 1

				# Adds current block if it's nonempty.
				if len(lowerCAmelCase_ ) > 0:
								blocks.append('''\n'''.join(lowerCAmelCase_ ) )

				# Add final block after end_prompt if provided.
				if end_prompt is not None and index < len(lowerCAmelCase_ ):
								blocks.append('''\n'''.join(lines[index:] ) )

				return blocks



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Optional[int]:

				def _inner(lowerCAmelCase_ ):
								return key(lowerCAmelCase_ ).lower().replace('''_''' ,   '''''' )

				return _inner



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_=None )-> Dict:

				# If no key is provided, we use a noop.
				def noop(lowerCAmelCase_ ):
								return x

				if key is None:
								lowerCAmelCase_ :      Dict    				=				noop
				# Constants are all uppercase, they go first.
				lowerCAmelCase_ :      Union[str, Any]    				=				[obj for obj in objects if key(lowerCAmelCase_ ).isupper()]
				# Classes are not all uppercase but start with a capital, they go second.
				lowerCAmelCase_ :      int    				=				[obj for obj in objects if key(lowerCAmelCase_ )[0].isupper() and not key(lowerCAmelCase_ ).isupper()]
				# Functions begin with a lowercase, they go last.
				lowerCAmelCase_ :      Dict    				=				[obj for obj in objects if not key(lowerCAmelCase_ )[0].isupper()]

				lowerCAmelCase_ :      Optional[int]    				=				ignore_underscore(lowerCAmelCase_ )
				return sorted(lowerCAmelCase_ ,   key=lowerCAmelCase_ ) + sorted(lowerCAmelCase_ ,   key=lowerCAmelCase_ ) + sorted(lowerCAmelCase_ ,   key=lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Tuple:

				# This inner function sort imports between [ ].
				def _replace(lowerCAmelCase_ ):
								lowerCAmelCase_ :      Union[str, Any]    				=				match.groups()[0]
								if "," not in imports:
												return f"""[{imports}]"""
								lowerCAmelCase_ :      Any    				=				[part.strip().replace('''"''' ,   '''''' ) for part in imports.split(''',''' )]
								# We will have a final empty element if the line finished with a comma.
								if len(keys[-1] ) == 0:
												lowerCAmelCase_ :      Optional[Any]    				=				keys[:-1]
								return "[" + ", ".join([f"""\"{k}\"""" for k in sort_objects(lowerCAmelCase_ )] ) + "]"

				lowerCAmelCase_ :      str    				=				import_statement.split('''\n''' )
				if len(lowerCAmelCase_ ) > 3:
								# Here we have to sort internal imports that are on several lines (one per name):
								# key: [
								#     "object1",
								#     "object2",
								#     ...
								# ]

								# We may have to ignore one or two lines on each side.
								lowerCAmelCase_ :      List[str]    				=				2 if lines[1].strip() == '''[''' else 1
								lowerCAmelCase_ :      List[Any]    				=				[(i, _re_strip_line.search(lowerCAmelCase_ ).groups()[0]) for i, line in enumerate(lines[idx:-idx] )]
								lowerCAmelCase_ :      Tuple    				=				sort_objects(lowerCAmelCase_ ,   key=lambda lowerCAmelCase_ : x[1] )
								lowerCAmelCase_ :      Optional[Any]    				=				[lines[x[0] + idx] for x in sorted_indices]
								return "\n".join(lines[:idx] + sorted_lines + lines[-idx:] )
				elif len(lowerCAmelCase_ ) == 3:
								# Here we have to sort internal imports that are on one separate line:
								# key: [
								#     "object1", "object2", ...
								# ]
								if _re_bracket_content.search(lines[1] ) is not None:
												lowerCAmelCase_ :      int    				=				_re_bracket_content.sub(_replace ,   lines[1] )
								else:
												lowerCAmelCase_ :      List[Any]    				=				[part.strip().replace('''"''' ,   '''''' ) for part in lines[1].split(''',''' )]
												# We will have a final empty element if the line finished with a comma.
												if len(keys[-1] ) == 0:
																lowerCAmelCase_ :      Optional[Any]    				=				keys[:-1]
												lowerCAmelCase_ :      str    				=				get_indent(lines[1] ) + ''', '''.join([f"""\"{k}\"""" for k in sort_objects(lowerCAmelCase_ )] )
								return "\n".join(lowerCAmelCase_ )
				else:
								# Finally we have to deal with imports fitting on one line
								lowerCAmelCase_ :      Optional[Any]    				=				_re_bracket_content.sub(_replace ,   lowerCAmelCase_ )
								return import_statement



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_=True )-> Optional[int]:
				with open(lowerCAmelCase_ ,   '''r''' ) as f:
								lowerCAmelCase_ :      int    				=				f.read()

				if "_import_structure" not in code:
								return

				# Blocks of indent level 0
				lowerCAmelCase_ :      Dict    				=				split_code_in_indented_blocks(
				    lowerCAmelCase_ ,   start_prompt='''_import_structure = {''' ,   end_prompt='''if TYPE_CHECKING:''' )

				# We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
				for block_idx in range(1 ,   len(lowerCAmelCase_ ) - 1 ):
								# Check if the block contains some `_import_structure`s thingy to sort.
								lowerCAmelCase_ :      List[str]    				=				main_blocks[block_idx]
								lowerCAmelCase_ :      Any    				=				block.split('''\n''' )

								# Get to the start of the imports.
								lowerCAmelCase_ :      Optional[Any]    				=				0
								while line_idx < len(lowerCAmelCase_ ) and "_import_structure" not in block_lines[line_idx]:
												# Skip dummy import blocks
												if "import dummy" in block_lines[line_idx]:
																lowerCAmelCase_ :      Union[str, Any]    				=				len(lowerCAmelCase_ )
												else:
																line_idx += 1
								if line_idx >= len(lowerCAmelCase_ ):
												continue

								# Ignore beginning and last line: they don't contain anything.
								lowerCAmelCase_ :      int    				=				'''\n'''.join(block_lines[line_idx:-1] )
								lowerCAmelCase_ :      int    				=				get_indent(block_lines[1] )
								# Slit the internal block into blocks of indent level 1.
								lowerCAmelCase_ :      str    				=				split_code_in_indented_blocks(lowerCAmelCase_ ,   indent_level=lowerCAmelCase_ )
								# We have two categories of import key: list or _import_structure[key].append/extend
								lowerCAmelCase_ :      Any    				=				_re_direct_key if '''_import_structure''' in block_lines[0] else _re_indirect_key
								# Grab the keys, but there is a trap: some lines are empty or just comments.
								lowerCAmelCase_ :      Tuple    				=				[(pattern.search(lowerCAmelCase_ ).groups()[0] if pattern.search(lowerCAmelCase_ ) is not None else None) for b in internal_blocks]
								# We only sort the lines with a key.
								lowerCAmelCase_ :      str    				=				[(i, key) for i, key in enumerate(lowerCAmelCase_ ) if key is not None]
								lowerCAmelCase_ :      Tuple    				=				[x[0] for x in sorted(lowerCAmelCase_ ,   key=lambda lowerCAmelCase_ : x[1] )]

								# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
								lowerCAmelCase_ :      Optional[Any]    				=				0
								lowerCAmelCase_ :      List[str]    				=				[]
								for i in range(len(lowerCAmelCase_ ) ):
												if keys[i] is None:
																reordered_blocks.append(internal_blocks[i] )
												else:
																lowerCAmelCase_ :      Optional[int]    				=				sort_objects_in_import(internal_blocks[sorted_indices[count]] )
																reordered_blocks.append(lowerCAmelCase_ )
																count += 1

        # And we put our main block back together with its first and last line.
								lowerCAmelCase_ :      List[str]    				=				'''\n'''.join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]] )

				if code != "\n".join(lowerCAmelCase_ ):
								if check_only:
												return True
								else:
												print(f"""Overwriting {file}.""" )
												with open(lowerCAmelCase_ ,   '''w''' ) as f:
																f.write('''\n'''.join(lowerCAmelCase_ ) )



def 			lowerCAmelCase (		lowerCAmelCase_=True )-> Optional[int]:
				lowerCAmelCase_ :      str    				=				[]
				for root, _, files in os.walk(lowerCAmelCase_ ):
								if "__init__.py" in files:
												lowerCAmelCase_ :      Tuple    				=				sort_imports(os.path.join(lowerCAmelCase_ ,   '''__init__.py''' ) ,   check_only=lowerCAmelCase_ )
												if result:
																lowerCAmelCase_ :      str    				=				[os.path.join(lowerCAmelCase_ ,   '''__init__.py''' )]
				if len(lowerCAmelCase_ ) > 0:
								raise ValueError(f"""Would overwrite {len(lowerCAmelCase_ )} files, run `make style`.""" )


if __name__ == "__main__":
						_UpperCAmelCase			:  Dict     =argparse.ArgumentParser()
						parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
						_UpperCAmelCase			:  Optional[int]     =parser.parse_args()

						sort_imports_in_all_inits(check_only=args.check_only)



import math
from enum import Enum
from typing import Optional, Union

from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR

from .utils import logging


_UpperCAmelCase			:  Tuple     =logging.get_logger(__name__)







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  List[str]					=							"""linear"""
						SCREAMING_SNAKE_CASE__      :  Union[str, Any]					=							"""cosine"""
						SCREAMING_SNAKE_CASE__      :  Dict					=							"""cosine_with_restarts"""
						SCREAMING_SNAKE_CASE__      :  List[str]					=							"""polynomial"""
						SCREAMING_SNAKE_CASE__      :  Dict					=							"""constant"""
						SCREAMING_SNAKE_CASE__      :  List[str]					=							"""constant_with_warmup"""
						SCREAMING_SNAKE_CASE__      :  str					=							"""piecewise_constant"""






def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ = -1 )-> Tuple:
				return LambdaLR(lowerCAmelCase_ ,   lambda lowerCAmelCase_ : 1 ,   last_epoch=lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ = -1 )-> List[Any]:

				def lr_lambda(lowerCAmelCase_ ):
								if current_step < num_warmup_steps:
												return float(lowerCAmelCase_ ) / float(max(1.0 ,   lowerCAmelCase_ ) )
								return 1.0

				return LambdaLR(lowerCAmelCase_ ,   lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ = -1 )-> int:
				lowerCAmelCase_ :      Optional[int]    				=				{}
				lowerCAmelCase_ :      Union[str, Any]    				=				step_rules.split(''',''' )
				for rule_str in rule_list[:-1]:
								lowerCAmelCase_				,  lowerCAmelCase_ :      str    				=				rule_str.split(''':''' )
								lowerCAmelCase_ :      int    				=				int(lowerCAmelCase_ )
								lowerCAmelCase_ :      str    				=				float(lowerCAmelCase_ )
								lowerCAmelCase_ :      List[Any]    				=				value
				lowerCAmelCase_ :      int    				=				float(rule_list[-1] )

				def create_rules_function(lowerCAmelCase_ ,   lowerCAmelCase_ ):
								def rule_func(lowerCAmelCase_ ) -> float:
												lowerCAmelCase_ :      Tuple    				=				sorted(rules_dict.keys() )
												for i, sorted_step in enumerate(lowerCAmelCase_ ):
																if steps < sorted_step:
																				return rules_dict[sorted_steps[i]]
												return last_lr_multiple

								return rule_func

				lowerCAmelCase_ :      Tuple    				=				create_rules_function(lowerCAmelCase_ ,   lowerCAmelCase_ )

				return LambdaLR(lowerCAmelCase_ ,   lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_=-1 )-> Optional[int]:

				def lr_lambda(lowerCAmelCase_ ):
								if current_step < num_warmup_steps:
												return float(lowerCAmelCase_ ) / float(max(1 ,   lowerCAmelCase_ ) )
								return max(
								    0.0 ,   float(num_training_steps - current_step ) / float(max(1 ,   num_training_steps - num_warmup_steps ) ) )

				return LambdaLR(lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ = 0.5 ,   lowerCAmelCase_ = -1 )-> List[Any]:

				def lr_lambda(lowerCAmelCase_ ):
								if current_step < num_warmup_steps:
												return float(lowerCAmelCase_ ) / float(max(1 ,   lowerCAmelCase_ ) )
								lowerCAmelCase_ :      Tuple    				=				float(current_step - num_warmup_steps ) / float(max(1 ,   num_training_steps - num_warmup_steps ) )
								return max(0.0 ,   0.5 * (1.0 + math.cos(math.pi * float(lowerCAmelCase_ ) * 2.0 * progress )) )

				return LambdaLR(lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ = 1 ,   lowerCAmelCase_ = -1 )-> Dict:

				def lr_lambda(lowerCAmelCase_ ):
								if current_step < num_warmup_steps:
												return float(lowerCAmelCase_ ) / float(max(1 ,   lowerCAmelCase_ ) )
								lowerCAmelCase_ :      List[Any]    				=				float(current_step - num_warmup_steps ) / float(max(1 ,   num_training_steps - num_warmup_steps ) )
								if progress >= 1.0:
												return 0.0
								return max(0.0 ,   0.5 * (1.0 + math.cos(math.pi * ((float(lowerCAmelCase_ ) * progress) % 1.0) )) )

				return LambdaLR(lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_=1e-7 ,   lowerCAmelCase_=1.0 ,   lowerCAmelCase_=-1 )-> Any:
				lowerCAmelCase_ :      Dict    				=				optimizer.defaults['''lr''']
				if not (lr_init > lr_end):
								raise ValueError(f"""lr_end ({lr_end}) must be be smaller than initial lr ({lr_init})""" )

				def lr_lambda(lowerCAmelCase_ ):
								if current_step < num_warmup_steps:
												return float(lowerCAmelCase_ ) / float(max(1 ,   lowerCAmelCase_ ) )
								elif current_step > num_training_steps:
												return lr_end / lr_init  # as LambdaLR multiplies by lr_init
								else:
												lowerCAmelCase_ :      List[Any]    				=				lr_init - lr_end
												lowerCAmelCase_ :      Optional[Any]    				=				num_training_steps - num_warmup_steps
												lowerCAmelCase_ :      Any    				=				1 - (current_step - num_warmup_steps) / decay_steps
												lowerCAmelCase_ :      List[Any]    				=				lr_range * pct_remaining**power + lr_end
												return decay / lr_init  # as LambdaLR multiplies by lr_init

				return LambdaLR(lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ )


_UpperCAmelCase			:  Union[str, Any]     ={
    SchedulerType.LINEAR: get_linear_schedule_with_warmup,
    SchedulerType.COSINE: get_cosine_schedule_with_warmup,
    SchedulerType.COSINE_WITH_RESTARTS: get_cosine_with_hard_restarts_schedule_with_warmup,
    SchedulerType.POLYNOMIAL: get_polynomial_decay_schedule_with_warmup,
    SchedulerType.CONSTANT: get_constant_schedule,
    SchedulerType.CONSTANT_WITH_WARMUP: get_constant_schedule_with_warmup,
    SchedulerType.PIECEWISE_CONSTANT: get_piecewise_constant_schedule,
}




def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ ,   lowerCAmelCase_ = None ,   lowerCAmelCase_ = None ,   lowerCAmelCase_ = None ,   lowerCAmelCase_ = 1 ,   lowerCAmelCase_ = 1.0 ,   lowerCAmelCase_ = -1 ,   )-> Optional[int]:
				lowerCAmelCase_ :      Union[str, Any]    				=				SchedulerType(lowerCAmelCase_ )
				lowerCAmelCase_ :      Optional[int]    				=				TYPE_TO_SCHEDULER_FUNCTION[name]
				if name == SchedulerType.CONSTANT:
								return schedule_func(lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ )

				if name == SchedulerType.PIECEWISE_CONSTANT:
								return schedule_func(lowerCAmelCase_ ,   step_rules=lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ )

				# All other schedulers require `num_warmup_steps`
				if num_warmup_steps is None:
								raise ValueError(f"""{name} requires `num_warmup_steps`, please provide that argument.""" )

				if name == SchedulerType.CONSTANT_WITH_WARMUP:
								return schedule_func(lowerCAmelCase_ ,   num_warmup_steps=lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ )

				# All other schedulers require `num_training_steps`
				if num_training_steps is None:
								raise ValueError(f"""{name} requires `num_training_steps`, please provide that argument.""" )

				if name == SchedulerType.COSINE_WITH_RESTARTS:
								return schedule_func(
								    lowerCAmelCase_ ,   num_warmup_steps=lowerCAmelCase_ ,   num_training_steps=lowerCAmelCase_ ,   num_cycles=lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ ,   )

				if name == SchedulerType.POLYNOMIAL:
								return schedule_func(
								    lowerCAmelCase_ ,   num_warmup_steps=lowerCAmelCase_ ,   num_training_steps=lowerCAmelCase_ ,   power=lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ ,   )

				return schedule_func(
				    lowerCAmelCase_ ,   num_warmup_steps=lowerCAmelCase_ ,   num_training_steps=lowerCAmelCase_ ,   last_epoch=lowerCAmelCase_ )