
'''simple docstring'''







import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp





def 					UpperCAmelCase_		():






   """simple docstring"""

   _a				:	Tuple			=   ArgumentParser(
       description=(
           'PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes'
       ) )

   # Optional arguments for the launch helper
   parser.add_argument('--num_cores' ,	type=__a ,	default=1 ,	help='Number of TPU cores to use (1 or 8).' )

   # positional
   parser.add_argument(
       'training_script' ,	type=__a ,	help=(
           'The full path to the single TPU training '
           'program/script to be launched in parallel, '
           'followed by all the arguments for the '
           'training script'
       ) ,	)

   # rest from the training program
   parser.add_argument('training_script_args' ,	nargs=__a )

   return parser.parse_args()





def 					UpperCAmelCase_		():






   """simple docstring"""

   _a				:	Tuple			=   parse_args()

   # Import training_script as a module.
   _a				:	List[Any]			=   Path(args.training_script )
   sys.path.append(str(script_fpath.parent.resolve() ) )
   _a				:	Union[str, Any]			=   script_fpath.stem
   _a				:	Any			=   importlib.import_module(__a )

   # Patch sys.argv
   _a				:	Optional[Any]			=   [args.training_script] + args.training_script_args + ['--tpu_num_cores', str(args.num_cores )]

   xmp.spawn(mod._mp_fn ,	args=() ,	nprocs=args.num_cores )


if __name__ == "__main__":
  main()





'''simple docstring'''







import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


__lowerCAmelCase         =    (
    """https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"""
)


__lowerCAmelCase         =    logging.get_logger(__name__)  # pylint: disable=invalid-name





def 					UpperCAmelCase_		():






   """simple docstring"""

   _a				:	Optional[int]			=   'https://pypi.org/pypi/diffusers/json'
   _a				:	int			=   json.loads(request.urlopen(__a ).read() )['releases'].keys()
   return sorted(__a ,	key=lambda __a : version.Version(__a ) )





def 					UpperCAmelCase_		():






   """simple docstring"""

   if HF_MODULES_CACHE in sys.path:
      return

   sys.path.append(__a )
   os.makedirs(__a ,	exist_ok=__a )
   _a				:	str			=   Path(__a ) / '__init__.py'
   if not init_path.exists():
      init_path.touch()





def 					UpperCAmelCase_		(__a      :    Union[str, os.PathLike] ):






   """simple docstring"""

   init_hf_modules()
   _a				:	Dict			=   Path(__a ) / name
   # If the parent module does not exist yet, recursively create it.
   if not dynamic_module_path.parent.exists():
      create_dynamic_module(dynamic_module_path.parent )
   os.makedirs(__a ,	exist_ok=__a )
   _a				:	Optional[int]			=   dynamic_module_path / '__init__.py'
   if not init_path.exists():
      init_path.touch()





def 					UpperCAmelCase_		(__a      :    str ):






   """simple docstring"""

   with open(__a ,	'r' ,	encoding='utf-8' ) as f:
      _a				:	int			=   f.read()

   # Imports of the form `import .xxx`
   _a				:	Tuple			=   re.findall('^\s*import\s+\.(\S+)\s*$' ,	__a ,	flags=re.MULTILINE )
   # Imports of the form `from .xxx import yyy`
   relative_imports += re.findall('^\s*from\s+\.(\S+)\s+import' ,	__a ,	flags=re.MULTILINE )
   # Unique-ify
   return list(set(__a ) )





def 					UpperCAmelCase_		(__a      :    Any ):






   """simple docstring"""

   _a				:	Optional[int]			=   False
   _a				:	Optional[int]			=   [module_file]
   _a				:	List[str]			=   []

   # Let's recurse through all relative imports
   while not no_change:
      _a				:	str			=   []
      for f in files_to_check:
         new_imports.extend(get_relative_imports(__a ) )

      _a				:	Union[str, Any]			=   Path(__a ).parent
      _a				:	str			=   [str(module_path / m ) for m in new_imports]
      _a				:	Tuple			=   [f for f in new_import_files if f not in all_relative_imports]
      _a				:	Dict			=   [f"""{f}.py""" for f in new_import_files]

      _a				:	List[str]			=   len(__a ) == 0
      all_relative_imports.extend(__a )

   return all_relative_imports





def 					UpperCAmelCase_		(__a      :    Tuple ):






   """simple docstring"""

   with open(__a ,	'r' ,	encoding='utf-8' ) as f:
      _a				:	Dict			=   f.read()

   # Imports of the form `import xxx`
   _a				:	Optional[int]			=   re.findall('^\s*import\s+(\S+)\s*$' ,	__a ,	flags=re.MULTILINE )
   # Imports of the form `from xxx import yyy`
   imports += re.findall('^\s*from\s+(\S+)\s+import' ,	__a ,	flags=re.MULTILINE )
   # Only keep the top-level module
   _a				:	List[str]			=   [imp.split('.' )[0] for imp in imports if not imp.startswith('.' )]

   # Unique-ify and test we got them all
   _a				:	Optional[int]			=   list(set(__a ) )
   _a				:	List[str]			=   []
   for imp in imports:
      try:
         importlib.import_module(__a )
      except ImportError:
         missing_packages.append(__a )

   if len(__a ) > 0:
      raise ImportError(
          'This modeling file requires the following packages that were not found in your environment: '
          f"""{', '.join(__a )}. Run `pip install {' '.join(__a )}`""" )

   return get_relative_imports(__a )





def 					UpperCAmelCase_		(__a      :    Any ,	__a      :    str ):






   """simple docstring"""

   _a				:	Any			=   module_path.replace(os.path.sep ,	'.' )
   _a				:	Union[str, Any]			=   importlib.import_module(__a )

   if class_name is None:
      return find_pipeline_class(__a )
   return getattr(__a ,	__a )





def 					UpperCAmelCase_		(__a      :    Optional[int] ):






   """simple docstring"""

   from ..pipelines import DiffusionPipeline

   _a				:	List[str]			=   dict(inspect.getmembers(__a ,	inspect.isclass ) )

   _a				:	str			=   None
   for cls_name, cls in cls_members.items():
      if (
          cls_name != DiffusionPipeline.__name__
          and issubclass(cls ,	__a )
          and cls.__module__.split('.' )[0] != "diffusers"
      ):
         if pipeline_class is not None:
            raise ValueError(
                f"""Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:"""
                f""" {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in"""
                f""" {loaded_module}.""" )
         _a				:	Any			=   cls

   return pipeline_class





def 					UpperCAmelCase_		(__a      :    Union[str, os.PathLike] ,	__a      :    str ,	__a      :    Optional[Union[str, os.PathLike]] = None ,	__a      :    bool = False ,	__a      :    bool = False ,	__a      :    Optional[Dict[str, str]] = None ,	__a      :    Optional[Union[bool, str]] = None ,	__a      :    Optional[str] = None ,	__a      :    bool = False ,	):






   """simple docstring"""

   _a				:	str			=   str(__a )

   _a				:	Optional[Any]			=   os.path.join(__a ,	__a )

   if os.path.isfile(__a ):
      _a				:	Tuple			=   module_file_or_url
      _a				:	Optional[Any]			=   'local'
   elif pretrained_model_name_or_path.count('/' ) == 0:
      _a				:	int			=   get_diffusers_versions()
      # cut ".dev0"
      _a				:	Any			=   'v' + '.'.join(__version__.split('.' )[:3] )

      # retrieve github version that matches
      if revision is None:
         _a				:	Any			=   latest_version if latest_version[1:] in available_versions else 'main'
         logger.info(f"""Defaulting to latest_version: {revision}.""" )
      elif revision in available_versions:
         _a				:	Any			=   f"""v{revision}"""
      elif revision == "main":
         _a				:	Optional[int]			=   revision
      else:
         raise ValueError(
             f"""`custom_revision`: {revision} does not exist. Please make sure to choose one of"""
             f""" {', '.join(available_versions + ['main'] )}.""" )

      # community pipeline on GitHub
      _a				:	Tuple			=   COMMUNITY_PIPELINES_URL.format(revision=__a ,	pipeline=__a )
      try:
         _a				:	Any			=   cached_download(
             __a ,	cache_dir=__a ,	force_download=__a ,	proxies=__a ,	resume_download=__a ,	local_files_only=__a ,	use_auth_token=__a ,	)
         _a				:	List[Any]			=   'git'
         _a				:	Any			=   pretrained_model_name_or_path + '.py'
      except EnvironmentError:
         logger.error(f"""Could not locate the {module_file} inside {pretrained_model_name_or_path}.""" )
         raise
   else:
      try:
         # Load from URL or cache if already cached
         _a				:	Optional[Any]			=   hf_hub_download(
             __a ,	__a ,	cache_dir=__a ,	force_download=__a ,	proxies=__a ,	resume_download=__a ,	local_files_only=__a ,	use_auth_token=__a ,	)
         _a				:	List[Any]			=   os.path.join('local' ,	'--'.join(pretrained_model_name_or_path.split('/' ) ) )
      except EnvironmentError:
         logger.error(f"""Could not locate the {module_file} inside {pretrained_model_name_or_path}.""" )
         raise

    # Check we have all the requirements in our environment
   _a				:	Optional[int]			=   check_imports(__a )

   # Now we move the module inside our cached dynamic modules.
   _a				:	Optional[Any]			=   DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
   create_dynamic_module(__a )
   _a				:	Any			=   Path(__a ) / full_submodule
   if submodule == "local" or submodule == "git":
      # We always copy local files (we could hash the file to see if there was a change, and give them the name of
      # that hash, to only copy when there is a modification but it seems overkill for now).
      # The only reason we do the copy is to avoid putting too many folders in sys.path.
      shutil.copy(__a ,	submodule_path / module_file )
      for module_needed in modules_needed:
         _a				:	Dict			=   f"""{module_needed}.py"""
         shutil.copy(os.path.join(__a ,	__a ) ,	submodule_path / module_needed )
   else:
      # Get the commit hash
      # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
      if isinstance(__a ,	__a ):
         _a				:	Optional[Any]			=   use_auth_token
      elif use_auth_token is True:
         _a				:	List[Any]			=   HfFolder.get_token()
      else:
         _a				:	Dict			=   None

      _a				:	int			=   model_info(__a ,	revision=__a ,	token=__a ).sha

      # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
      # benefit of versioning.
      _a				:	Optional[int]			=   submodule_path / commit_hash
      _a				:	str			=   full_submodule + os.path.sep + commit_hash
      create_dynamic_module(__a )

      if not (submodule_path / module_file).exists():
         shutil.copy(__a ,	submodule_path / module_file )
      # Make sure we also have every file with relative
      for module_needed in modules_needed:
         if not (submodule_path / module_needed).exists():
            get_cached_module_file(
                __a ,	f"""{module_needed}.py""" ,	cache_dir=__a ,	force_download=__a ,	resume_download=__a ,	proxies=__a ,	use_auth_token=__a ,	revision=__a ,	local_files_only=__a ,	)
   return os.path.join(__a ,	__a )





def 					UpperCAmelCase_		(__a      :    Union[str, os.PathLike] ,	__a      :    str ,	__a      :    Optional[str] = None ,	__a      :    Optional[Union[str, os.PathLike]] = None ,	__a      :    bool = False ,	__a      :    bool = False ,	__a      :    Optional[Dict[str, str]] = None ,	__a      :    Optional[Union[bool, str]] = None ,	__a      :    Optional[str] = None ,	__a      :    bool = False ,	**__a      :    str ,	):






   """simple docstring"""

   _a				:	Dict			=   get_cached_module_file(
       __a ,	__a ,	cache_dir=__a ,	force_download=__a ,	resume_download=__a ,	proxies=__a ,	use_auth_token=__a ,	revision=__a ,	local_files_only=__a ,	)
   return get_class_in_module(__a ,	final_module.replace('.py' ,	'' ) )



