






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 :      Union[str, Any]										=				(
    """https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"""
)


__lowerCamelCase :      Optional[Any]										=				logging.get_logger(__name__)  # pylint: disable=invalid-name







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				List[Any]       =  "https://pypi.org/pypi/diffusers/json"
	snake_case__			:				Dict       =  json.loads(request.urlopen(snake_case_       ).read()       )["releases"].keys()
	return sorted(snake_case_					,  key=lambda snake_case_       : version.Version(snake_case_       )       )







def 					SCREAMING_SNAKE_CASE    (			):
	# This function has already been executed if HF_MODULES_CACHE already is in the Python path.
	if HF_MODULES_CACHE in sys.path:
		return

	sys.path.append(snake_case_       )
	os.makedirs(snake_case_					,  exist_ok=snake_case_       )
	snake_case__			:				Optional[int]       =  Path(snake_case_       ) / "__init__.py"
	if not init_path.exists():
		init_path.touch()







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Union[str, os.PathLike]       ):
	init_hf_modules()
	snake_case__			:				Union[str, Any]       =  Path(snake_case_       ) / 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(snake_case_					,  exist_ok=snake_case_       )
	snake_case__			:				str       =  dynamic_module_path / "__init__.py"
	if not init_path.exists():
		init_path.touch()







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Tuple       ):
	with open(snake_case_					,  "r"					,  encoding="utf-8"       ) as f:
		snake_case__			:				Optional[Any]       =  f.read()

	# Imports of the form `import .xxx`
	snake_case__			:				Union[str, Any]       =  re.findall("^\s*import\s+\.(\S+)\s*$"					,  snake_case_					,  flags=re.MULTILINE       )
	# Imports of the form `from .xxx import yyy`
	relative_imports += re.findall("^\s*from\s+\.(\S+)\s+import"					,  snake_case_					,  flags=re.MULTILINE       )
	# Unique-ify
	return list(set(snake_case_       )       )







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Dict       ):
	snake_case__			:				Optional[int]       =  False
	snake_case__			:				Tuple       =  [module_file]
	snake_case__			:				Tuple       =  []

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

		snake_case__			:				int       =  Path(snake_case_       ).parent
		snake_case__			:				int       =  [str(module_path / m       ) for m in new_imports]
		snake_case__			:				Union[str, Any]       =  [f for f in new_import_files if f not in all_relative_imports]
		snake_case__			:				int       =  [F'''{f}.py''' for f in new_import_files]

		snake_case__			:				Optional[Any]       =  len(snake_case_       ) == 0
		all_relative_imports.extend(snake_case_       )

	return all_relative_imports







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Any       ):
	with open(snake_case_					,  "r"					,  encoding="utf-8"       ) as f:
		snake_case__			:				Optional[Any]       =  f.read()

	# Imports of the form `import xxx`
	snake_case__			:				Any       =  re.findall("^\s*import\s+(\S+)\s*$"					,  snake_case_					,  flags=re.MULTILINE       )
	# Imports of the form `from xxx import yyy`
	imports += re.findall("^\s*from\s+(\S+)\s+import"					,  snake_case_					,  flags=re.MULTILINE       )
	# Only keep the top-level module
	snake_case__			:				Tuple       =  [imp.split("."       )[0] for imp in imports if not imp.startswith("."       )]

	# Unique-ify and test we got them all
	snake_case__			:				Dict       =  list(set(snake_case_       )       )
	snake_case__			:				List[Any]       =  []
	for imp in imports:
		try:
			importlib.import_module(snake_case_       )
		except ImportError:
			missing_packages.append(snake_case_       )

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

	return get_relative_imports(snake_case_       )







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Dict					,  snake_case_ :							List[Any]       ):
	snake_case__			:				Dict       =  module_path.replace(os.path.sep					,  "."       )
	snake_case__			:				Union[str, Any]       =  importlib.import_module(snake_case_       )

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







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	from ..pipelines import DiffusionPipeline

	snake_case__			:				str       =  dict(inspect.getmembers(snake_case_					,  inspect.isclass       )       )

	snake_case__			:				Tuple       =  None
	for cls_name, cls in cls_members.items():
		if (
		    cls_name != DiffusionPipeline.__name__
		    and issubclass(cls					,  snake_case_       )
		    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}.'''       )
			snake_case__			:				Any       =  cls

	return pipeline_class







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Union[str, os.PathLike]					,  snake_case_ :							str					,  snake_case_ :							Optional[Union[str, os.PathLike]] = None					,  snake_case_ :							bool = False					,  snake_case_ :							bool = False					,  snake_case_ :							Optional[Dict[str, str]] = None					,  snake_case_ :							Optional[Union[bool, str]] = None					,  snake_case_ :							Optional[str] = None					,  snake_case_ :							bool = False					,  ):
	snake_case__			:				Optional[Any]       =  str(snake_case_       )

	snake_case__			:				Union[str, Any]       =  os.path.join(snake_case_					,  snake_case_       )

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

		# retrieve github version that matches
		if revision is None:
			snake_case__			:				Optional[int]       =  latest_version if latest_version[1:] in available_versions else "main"
			logger.info(F'''Defaulting to latest_version: {revision}.'''       )
		elif revision in available_versions:
			snake_case__			:				Any       =  F'''v{revision}'''
		elif revision == "main":
			snake_case__			:				Tuple       =  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
		snake_case__			:				Dict       =  COMMUNITY_PIPELINES_URL.format(revision=snake_case_					,  pipeline=snake_case_       )
		try:
			snake_case__			:				Tuple       =  cached_download(
			    snake_case_					,  cache_dir=snake_case_					,  force_download=snake_case_					,  proxies=snake_case_					,  resume_download=snake_case_					,  local_files_only=snake_case_					,  use_auth_token=snake_case_					,  )
			snake_case__			:				int       =  "git"
			snake_case__			:				Optional[int]       =  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
			snake_case__			:				Dict       =  hf_hub_download(
			    snake_case_					,  snake_case_					,  cache_dir=snake_case_					,  force_download=snake_case_					,  proxies=snake_case_					,  resume_download=snake_case_					,  local_files_only=snake_case_					,  use_auth_token=snake_case_					,  )
			snake_case__			:				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
	snake_case__			:				List[str]       =  check_imports(snake_case_       )

	# Now we move the module inside our cached dynamic modules.
	snake_case__			:				Any       =  DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
	create_dynamic_module(snake_case_       )
	snake_case__			:				List[Any]       =  Path(snake_case_       ) / 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(snake_case_					,  submodule_path / module_file       )
		for module_needed in modules_needed:
			snake_case__			:				Dict       =  F'''{module_needed}.py'''
			shutil.copy(os.path.join(snake_case_					,  snake_case_       )					,  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(snake_case_					,  snake_case_       ):
			snake_case__			:				List[Any]       =  use_auth_token
		elif use_auth_token is True:
			snake_case__			:				List[Any]       =  HfFolder.get_token()
		else:
			snake_case__			:				List[Any]       =  None

		snake_case__			:				Union[str, Any]       =  model_info(snake_case_					,  revision=snake_case_					,  token=snake_case_       ).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.
		snake_case__			:				Union[str, Any]       =  submodule_path / commit_hash
		snake_case__			:				Any       =  full_submodule + os.path.sep + commit_hash
		create_dynamic_module(snake_case_       )

		if not (submodule_path / module_file).exists():
			shutil.copy(snake_case_					,  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(
				    snake_case_					,  F'''{module_needed}.py'''					,  cache_dir=snake_case_					,  force_download=snake_case_					,  resume_download=snake_case_					,  proxies=snake_case_					,  use_auth_token=snake_case_					,  revision=snake_case_					,  local_files_only=snake_case_					,  )
	return os.path.join(snake_case_					,  snake_case_       )







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							Union[str, os.PathLike]					,  snake_case_ :							str					,  snake_case_ :							Optional[str] = None					,  snake_case_ :							Optional[Union[str, os.PathLike]] = None					,  snake_case_ :							bool = False					,  snake_case_ :							bool = False					,  snake_case_ :							Optional[Dict[str, str]] = None					,  snake_case_ :							Optional[Union[bool, str]] = None					,  snake_case_ :							Optional[str] = None					,  snake_case_ :							bool = False					,  **snake_case_ :							Any					,  ):
	snake_case__			:				Tuple       =  get_cached_module_file(
	    snake_case_					,  snake_case_					,  cache_dir=snake_case_					,  force_download=snake_case_					,  resume_download=snake_case_					,  proxies=snake_case_					,  use_auth_token=snake_case_					,  revision=snake_case_					,  local_files_only=snake_case_					,  )
	return get_class_in_module(snake_case_					,  final_module.replace(".py"					,  ""       )       )











from datetime import datetime

import matplotlib.pyplot as plt
import torch







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	for param in module.parameters():
		snake_case__			:				Tuple       =  False







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				Any       =  "cuda" if torch.cuda.is_available() else "cpu"
	if torch.backends.mps.is_available() and torch.backends.mps.is_built():
		snake_case__			:				List[Any]       =  "mps"
	if device == "mps":
		print(
		    "WARNING: MPS currently doesn't seem to work, and messes up backpropagation without any visible torch"
		    " errors. I recommend using CUDA on a colab notebook or CPU instead if you're facing inexplicable issues"
		    " with generations."       )
	return device







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							str       ):
	snake_case__			:				List[str]       =  plt.imshow(snake_case_       )
	fig.axes.get_xaxis().set_visible(snake_case_       )
	fig.axes.get_yaxis().set_visible(snake_case_       )
	plt.show()







def 					SCREAMING_SNAKE_CASE    (			):
	snake_case__			:				str       =  datetime.now()
	snake_case__			:				Optional[Any]       =  current_time.strftime("%H:%M:%S"       )
	return timestamp



