




import argparse
import os
import re


UpperCAmelCase_		:					Union[str, Any]          =  "src/transformers"

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




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						str										=_re_indent.search(lowerCamelCase )
				return "" if search is None else search.groups()[0]




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

				# We split into blocks until we get to the `end_prompt` (or the end of the block).
				__magic_name__						:						Dict										=[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:
																				__magic_name__						:						Optional[Any]										=[lines[index + 1]]
																				index += 1
																else:
																				__magic_name__						:						Optional[Any]										=[]
												else:
																blocks.append("""\n""".join(lowerCamelCase ) )
																__magic_name__						:						Optional[int]										=[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 ):

				def _inner(lowerCamelCase ):
								return key(lowerCamelCase ).lower().replace("""_"""						,  """""" )

				return _inner




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase=None ):

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

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

				__magic_name__						:						int										=ignore_underscore(lowerCamelCase )
				return sorted(lowerCamelCase						,  key=lowerCamelCase ) + sorted(lowerCamelCase						,  key=lowerCamelCase ) + sorted(lowerCamelCase						,  key=lowerCamelCase )




def 		lowerCAmelCase_ (						lowerCamelCase ):

				# This inner function sort imports between [ ].
				def _replace(lowerCamelCase ):
								__magic_name__						:						Optional[Any]										=match.groups()[0]
								if "," not in imports:
												return F"[{imports}]"
								__magic_name__						:						Optional[int]										=[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:
												__magic_name__						:						Tuple										=keys[:-1]
								return "[" + ", ".join([F"\"{k}\"" for k in sort_objects(lowerCamelCase )] ) + "]"

				__magic_name__						:						Any										=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.
								__magic_name__						:						Dict										=2 if lines[1].strip() == """[""" else 1
								__magic_name__						:						Optional[int]										=[(i, _re_strip_line.search(lowerCamelCase ).groups()[0]) for i, line in enumerate(lines[idx:-idx] )]
								__magic_name__						:						Union[str, Any]										=sort_objects(lowerCamelCase						,  key=lambda lowerCamelCase : x[1] )
								__magic_name__						:						Dict										=[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:
												__magic_name__						:						Union[str, Any]										=_re_bracket_content.sub(_replace						,  lines[1] )
								else:
												__magic_name__						:						Optional[int]										=[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:
																__magic_name__						:						Tuple										=keys[:-1]
												__magic_name__						:						List[Any]										=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
								__magic_name__						:						Dict										=_re_bracket_content.sub(_replace						,  lowerCamelCase )
								return import_statement




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase=True ):
				with open(lowerCamelCase						,  encoding="""utf-8""" ) as f:
								__magic_name__						:						Union[str, Any]										=f.read()

				if "_import_structure" not in code:
								return

				# Blocks of indent level 0
				__magic_name__						:						Dict										=split_code_in_indented_blocks(
				    lowerCamelCase						,  start_prompt="""_import_structure = {"""						,  end_prompt="""if TYPE_CHECKING:""" )

				# We ignore block 0 (everything untils 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.
								__magic_name__						:						Optional[Any]										=main_blocks[block_idx]
								__magic_name__						:						Optional[Any]										=block.split("""\n""" )

								# Get to the start of the imports.
								__magic_name__						:						Tuple										=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]:
																__magic_name__						:						List[Any]										=len(lowerCamelCase )
												else:
																line_idx += 1
								if line_idx >= len(lowerCamelCase ):
												continue

								# Ignore beginning and last line: they don't contain anything.
								__magic_name__						:						Dict										="""\n""".join(block_lines[line_idx:-1] )
								__magic_name__						:						int										=get_indent(block_lines[1] )
								# Slit the internal block into blocks of indent level 1.
								__magic_name__						:						Dict										=split_code_in_indented_blocks(lowerCamelCase						,  indent_level=lowerCamelCase )
								# We have two categories of import key: list or _import_structure[key].append/extend
								__magic_name__						:						str										=_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.
								__magic_name__						:						Optional[int]										=[(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.
								__magic_name__						:						List[Any]										=[(i, key) for i, key in enumerate(lowerCamelCase ) if key is not None]
								__magic_name__						:						Dict										=[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.
								__magic_name__						:						Any										=0
								__magic_name__						:						List[Any]										=[]
								for i in range(len(lowerCamelCase ) ):
												if keys[i] is None:
																reorderded_blocks.append(internal_blocks[i] )
												else:
																__magic_name__						:						Optional[Any]										=sort_objects_in_import(internal_blocks[sorted_indices[count]] )
																reorderded_blocks.append(lowerCamelCase )
																count += 1

        # And we put our main block back together with its first and last line.
								__magic_name__						:						Union[str, Any]										="""\n""".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]] )

				if code != "\n".join(lowerCamelCase ):
								if check_only:
												return True
								else:
												print(F"Overwriting {file}." )
												with open(lowerCamelCase						,  """w"""						,  encoding="""utf-8""" ) as f:
																f.write("""\n""".join(lowerCamelCase ) )




def 		lowerCAmelCase_ (						lowerCamelCase=True ):
				__magic_name__						:						Union[str, Any]										=[]
				for root, _, files in os.walk(lowerCamelCase ):
								if "__init__.py" in files:
												__magic_name__						:						Dict										=sort_imports(os.path.join(lowerCamelCase						,  """__init__.py""" )						,  check_only=lowerCamelCase )
												if result:
																__magic_name__						:						Any										=[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_		:					Optional[int]          =  argparse.ArgumentParser()
							parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
							UpperCAmelCase_		:					int          =  parser.parse_args()

							sort_imports_in_all_inits(check_only=args.check_only)










# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch

import math
from typing import Union

import torch

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import randn_tensor
from .scheduling_utils import SchedulerMixin




class 		__A   (      UpperCamelCase__       ,    UpperCamelCase__      ):
						UpperCamelCase      =       1

						@register_to_config
						def __init__(		self :Any     ,			__snake_case :Tuple=20_00     ,			__snake_case :Optional[Any]=0.1     ,			__snake_case :Any=20     ,			__snake_case :Optional[int]=1E-3			):
										'''simple docstring'''

										__magic_name__						:						Dict										=None
										__magic_name__						:						List[str]										=None
										__magic_name__						:						str										=None

						def      A__    (		self :Dict     ,			__snake_case :Optional[int]     ,			__snake_case :Union[str, torch.device] = None			):
										'''simple docstring'''

										__magic_name__						:						Union[str, Any]										=torch.linspace(1     ,			self.config.sampling_eps     ,			__snake_case     ,			device=__snake_case			)

						def      A__    (		self :List[str]     ,			__snake_case :List[str]     ,			__snake_case :int     ,			__snake_case :int     ,			__snake_case :List[str]=None			):
										'''simple docstring'''

										if self.timesteps is None:
														raise ValueError(
														    """`self.timesteps` is not set, you need to run 'set_timesteps' after creating the scheduler"""			)

										# TODO(Patrick) better comments + non-PyTorch
										# postprocess model score
										__magic_name__						:						int										=(
										    -0.25 * t**2 * (self.config.beta_max - self.config.beta_min) - 0.5 * t * self.config.beta_min
										)
										__magic_name__						:						Optional[int]										=torch.sqrt(1.0 - torch.exp(2.0 * log_mean_coeff			)			)
										__magic_name__						:						str										=std.flatten()
										while len(std.shape			) < len(score.shape			):
														__magic_name__						:						List[str]										=std.unsqueeze(-1			)
										__magic_name__						:						Union[str, Any]										=-score / std

										# compute
										__magic_name__						:						Tuple										=-1.0 / len(self.timesteps			)

										__magic_name__						:						int										=self.config.beta_min + t * (self.config.beta_max - self.config.beta_min)
										__magic_name__						:						Dict										=beta_t.flatten()
										while len(beta_t.shape			) < len(x.shape			):
														__magic_name__						:						Any										=beta_t.unsqueeze(-1			)
										__magic_name__						:						Dict										=-0.5 * beta_t * x

										__magic_name__						:						Optional[int]										=torch.sqrt(__snake_case			)
										__magic_name__						:						int										=drift - diffusion**2 * score
										__magic_name__						:						List[str]										=x + drift * dt

										# add noise
										__magic_name__						:						Optional[int]										=randn_tensor(x.shape     ,			layout=x.layout     ,			generator=__snake_case     ,			device=x.device     ,			dtype=x.dtype			)
										__magic_name__						:						Optional[Any]										=x_mean + diffusion * math.sqrt(-dt			) * noise

										return x, x_mean


						def __len__(		self :List[Any]			):
										'''simple docstring'''

										return self.config.num_train_timesteps




