
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


SCREAMING_SNAKE_CASE				:int									=							(
    'https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'
)


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


def 		UpperCAmelCase     (      )						->      str:







				"""simple docstring"""



				__A       =					"https://pypi.org/pypi/diffusers/json"
				__A       =					json.loads(request.urlopen(a_		).read()		)["releases"].keys()
				return sorted(a_						,  key=lambda a_		: version.Version(a_		)		)


def 		UpperCAmelCase     (      )						->      Tuple:







				"""simple docstring"""



				if HF_MODULES_CACHE in sys.path:
								return

				sys.path.append(a_		)
				os.makedirs(a_						,  exist_ok=a_		)
				__A       =					Path(a_		) / "__init__.py"
				if not init_path.exists():
								init_path.touch()


def 		UpperCAmelCase     (      a_		)						->      Optional[int]:







				"""simple docstring"""



				init_hf_modules()
				__A       =					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       =					dynamic_module_path / "__init__.py"
				if not init_path.exists():
								init_path.touch()


def 		UpperCAmelCase     (      a_		)						->      Dict:







				"""simple docstring"""



				with open(a_						,  "r"						,  encoding="utf-8"		) as f:
								__A       =					f.read()

				# Imports of the form `import .xxx`
				__A       =					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_		)						->      List[Any]:







				"""simple docstring"""



				__A       =					False
				__A       =					[module_file]
				__A       =					[]

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

								__A       =					Path(a_		).parent
								__A       =					[str(module_path / m		) for m in new_imports]
								__A       =					[f for f in new_import_files if f not in all_relative_imports]
								__A       =					[F'''{f}.py''' for f in new_import_files]

								__A       =					len(a_		) == 0
								all_relative_imports.extend(a_		)

				return all_relative_imports


def 		UpperCAmelCase     (      a_		)						->      List[Any]:







				"""simple docstring"""



				with open(a_						,  "r"						,  encoding="utf-8"		) as f:
								__A       =					f.read()

				# Imports of the form `import xxx`
				__A       =					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       =					[imp.split("."		)[0] for imp in imports if not imp.startswith("."		)]

				# Unique-ify and test we got them all
				__A       =					list(set(a_		)		)
				__A       =					[]
				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_						,  a_		)						->      Optional[int]:







				"""simple docstring"""



				__A       =					module_path.replace(os.path.sep						,  "."		)
				__A       =					importlib.import_module(a_		)

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


def 		UpperCAmelCase     (      a_		)						->      Optional[Any]:







				"""simple docstring"""



				from ..pipelines import DiffusionPipeline

				__A       =					dict(inspect.getmembers(a_						,  inspect.isclass		)		)

				__A       =					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       =					cls

				return pipeline_class


def 		UpperCAmelCase     (      a_						,  a_						,  a_ = None						,  a_ = False						,  a_ = False						,  a_ = None						,  a_ = None						,  a_ = None						,  a_ = False						,  )						->      Optional[Any]:







				"""simple docstring"""



				__A       =					str(a_		)

				__A       =					os.path.join(a_						,  a_		)

				if os.path.isfile(a_		):
								__A       =					module_file_or_url
								__A       =					"local"
				elif pretrained_model_name_or_path.count("/"		) == 0:
								__A       =					get_diffusers_versions()
								# cut ".dev0"
								__A       =					"v" + ".".join(__version__.split("."		)[:3]		)

								# retrieve github version that matches
								if revision is None:
												__A       =					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       =					F'''v{revision}'''
								elif revision == "main":
												__A       =					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       =					COMMUNITY_PIPELINES_URL.format(revision=a_						,  pipeline=a_		)
								try:
												__A       =					cached_download(
												    a_						,  cache_dir=a_						,  force_download=a_						,  proxies=a_						,  resume_download=a_						,  local_files_only=a_						,  use_auth_token=a_						,  )
												__A       =					"git"
												__A       =					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       =					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       =					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       =					check_imports(a_		)

				# Now we move the module inside our cached dynamic modules.
				__A       =					DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
				create_dynamic_module(a_		)
				__A       =					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       =					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       =					use_auth_token
								elif use_auth_token is True:
												__A       =					HfFolder.get_token()
								else:
												__A       =					None

								__A       =					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       =					submodule_path / commit_hash
								__A       =					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_						,  a_						,  a_ = None						,  a_ = None						,  a_ = False						,  a_ = False						,  a_ = None						,  a_ = None						,  a_ = None						,  a_ = False						,  **a_						,  )						->      Any:







				"""simple docstring"""



				__A       =					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"						,  ""		)		)




'''simple docstring'''






from typing import Union

import fire
import torch
from tqdm import tqdm







def 							UpperCamelCase_     (       A__   :  str				,       A__   :  str = "cpu"				,       A__   :  Union[str, None] = None   ):
  '''simple docstring'''





  lowerCAmelCase_     : Dict     =  torch.load(A__				,       map_location=A__   )
  for k, v in tqdm(state_dict.items()   ):
    if not isinstance(A__				,       torch.Tensor   ):
      raise TypeError("""FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"""   )
    lowerCAmelCase_     : List[str]     =  v.half()
  if save_path is None:  # overwrite src_path
    lowerCAmelCase_     : List[str]     =  src_path
  torch.save(A__				,       A__   )


if __name__ == "__main__":
  fire.Fire(convert)



