





'''simple docstring'''




import dataclasses
import json
import warnings
from dataclasses import dataclass, field
from time import time
from typing import List

from ..utils import logging


lowercase__       : Union[str, Any]         =       logging.get_logger(__name__)






def 			_lowerCAmelCase     (    __snake_case    :					List[Any]=None					,				__snake_case    :					Union[str, Any]=None     )	->	List[str]:
     return field(default_factory=lambda: default					,				metadata=__snake_case     )







@dataclass
class 					SCREAMING_SNAKE_CASE       :
     lowerCAmelCase						     =			list_field(
         default=[]   ,						metadata={
             '''help''': (
                 '''Model checkpoints to be provided to the AutoModel classes. Leave blank to benchmark the base version'''
                 ''' of all available models'''
             )
         }   ,						)

     lowerCAmelCase						     =			list_field(
         default=[8]   ,						metadata={'''help''': '''List of batch sizes for which memory and time performance will be evaluated'''}				)

     lowerCAmelCase						     =			list_field(
         default=[8, 32, 128, 512]   ,						metadata={'''help''': '''List of sequence lengths for which memory and time performance will be evaluated'''}   ,						)

     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={'''help''': '''Whether to benchmark inference of model. Inference can be disabled via --no-inference.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={'''help''': '''Whether to run on available cuda devices. Cuda can be disabled via --no-cuda.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={'''help''': '''Whether to run on available tpu devices. TPU can be disabled via --no-tpu.'''}				)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Use FP16 to accelerate inference.'''}				)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Benchmark training of model'''}				)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Verbose memory tracing'''}				)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={'''help''': '''Whether to perform speed measurements. Speed measurements can be disabled via --no-speed.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={
             '''help''': '''Whether to perform memory measurements. Memory measurements can be disabled via --no-memory'''
         }   ,						)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Trace memory line by line'''}				)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Save result to a CSV file'''}				)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Save all print statements in a log file'''}				)
     lowerCAmelCase						     =			field(default=a__   ,						metadata={'''help''': '''Whether to print environment information'''}				)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={
             '''help''': (
                 '''Whether to use multiprocessing for memory and speed measurement. It is highly recommended to use'''
                 ''' multiprocessing for accurate CPU and GPU memory measurements. This option should only be disabled'''
                 ''' for debugging / testing and on TPU.'''
             )
         }   ,						)
     lowerCAmelCase						     =			field(
         default=f'''inference_time_{round(time()				)}.csv'''   ,						metadata={'''help''': '''CSV filename used if saving time results to csv.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=f'''inference_memory_{round(time()				)}.csv'''   ,						metadata={'''help''': '''CSV filename used if saving memory results to csv.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=f'''train_time_{round(time()				)}.csv'''   ,						metadata={'''help''': '''CSV filename used if saving time results to csv for training.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=f'''train_memory_{round(time()				)}.csv'''   ,						metadata={'''help''': '''CSV filename used if saving memory results to csv for training.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=f'''env_info_{round(time()				)}.csv'''   ,						metadata={'''help''': '''CSV filename used if saving environment information.'''}   ,						)
     lowerCAmelCase						     =			field(
         default=f'''log_{round(time()				)}.csv'''   ,						metadata={'''help''': '''Log filename used if print statements are saved in log.'''}   ,						)
     lowerCAmelCase						     =			field(default=3   ,						metadata={'''help''': '''Times an experiment will be run.'''}				)
     lowerCAmelCase						     =			field(
         default=a__   ,						metadata={
             '''help''': (
                 '''Instead of loading the model as defined in `config.architectures` if exists, just load the pretrain'''
                 ''' model weights.'''
             )
         }   ,						)


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          warnings.warn(
              F'The class {self.__class__} is deprecated. Hugging Face Benchmarking utils'
              ' are deprecated in general and it is advised to use external Benchmarking libraries '
              ' to benchmark Transformer models.'		,      _UpperCAmelCase		,      )


     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          return json.dumps(dataclasses.asdict(self)		,      indent=2)


     @property
     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          if len(self.models) <= 0:
               raise ValueError(
                   'Please make sure you provide at least one model name / model identifier, *e.g.* `--models'
                   ' bert-base-cased` or `args.models = [\'bert-base-cased\'].')
          return self.models


     @property
     def 				SCREAMING_SNAKE_CASE    (		self):

          '''simple docstring'''






          if not self.multi_process:
               return False
          elif self.is_tpu:
               logger.info('Multiprocessing is currently not possible on TPU.')
               return False
          else:
               return True






'''simple docstring'''




import argparse
import os
import re


lowercase__       : Optional[int]         =       '''src/diffusers'''

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






def 			_lowerCAmelCase     (    __snake_case    :					str     )	->	Tuple:
     __A		:					List[Any]						=			_re_indent.search(__snake_case     )
     return "" if search is None else search.groups()[0]






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

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

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

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

     return blocks






def 			_lowerCAmelCase     (    __snake_case    :					List[Any]     )	->	int:

     def _inner(__snake_case    :					List[Any]     ):
          return key(__snake_case     ).lower().replace('_'					,				''     )

     return _inner






def 			_lowerCAmelCase     (    __snake_case    :					Dict					,				__snake_case    :					Any=None     )	->	List[Any]:

     # If no key is provided, we use a noop.
     def noop(__snake_case    :					List[Any]     ):
          return x

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

     __A		:					Tuple						=			ignore_underscore(__snake_case     )
     return sorted(__snake_case					,				key=__snake_case     ) + sorted(__snake_case					,				key=__snake_case     ) + sorted(__snake_case					,				key=__snake_case     )






def 			_lowerCAmelCase     (    __snake_case    :					Optional[int]     )	->	Tuple:

     # This inner function sort imports between [ ].
     def _replace(__snake_case    :					Tuple     ):
          __A		:					List[str]						=			match.groups()[0]
          if "," not in imports:
               return f'[{imports}]'
          __A		:					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:
               __A		:					Dict						=			keys[:-1]
          return "[" + ", ".join([f'"{k}"' for k in sort_objects(__snake_case     )]     ) + "]"

     __A		:					List[Any]						=			import_statement.split('\n'     )
     if len(__snake_case     ) > 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.
          __A		:					Optional[int]						=			2 if lines[1].strip() == '[' else 1
          __A		:					Any						=			[(i, _re_strip_line.search(__snake_case     ).groups()[0]) for i, line in enumerate(lines[idx:-idx]     )]
          __A		:					Optional[int]						=			sort_objects(__snake_case					,				key=lambda __snake_case     : x[1]     )
          __A		:					Any						=			[lines[x[0] + idx] for x in sorted_indices]
          return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]     )
     elif len(__snake_case     ) == 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:
               __A		:					Union[str, Any]						=			_re_bracket_content.sub(_replace					,				lines[1]     )
          else:
               __A		:					Dict						=			[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:
                    __A		:					Tuple						=			keys[:-1]
               __A		:					List[Any]						=			get_indent(lines[1]     ) + ', '.join([f'"{k}"' for k in sort_objects(__snake_case     )]     )
          return "\n".join(__snake_case     )
     else:
          # Finally we have to deal with imports fitting on one line
          __A		:					Optional[Any]						=			_re_bracket_content.sub(_replace					,				__snake_case     )
          return import_statement






def 			_lowerCAmelCase     (    __snake_case    :					List[Any]					,				__snake_case    :					List[Any]=True     )	->	Optional[Any]:
     with open(__snake_case					,				'r'     ) as f:
          __A		:					Dict						=			f.read()

     if "_import_structure" not in code:
          return

     # Blocks of indent level 0
     __A		:					str						=			split_code_in_indented_blocks(
         __snake_case					,				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(__snake_case     ) - 1     ):
          # Check if the block contains some `_import_structure`s thingy to sort.
          __A		:					Tuple						=			main_blocks[block_idx]
          __A		:					int						=			block.split('\n'     )

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

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

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

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

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






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


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

  sort_imports_in_all_inits(check_only=args.check_only)