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






def   UpperCAmelCase					(	):






							"""simple docstring"""





							if HF_MODULES_CACHE in sys.path:
														return

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






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							init_hf_modules()
							A__	     =							Path(UpperCamelCase__				) / 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(UpperCamelCase__       ,    exist_ok=UpperCamelCase__				)
							A__	     =							dynamic_module_path / '__init__.py'
							if not init_path.exists():
														init_path.touch()






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							with open(UpperCamelCase__       ,    'r'       ,    encoding='utf-8'				) as f:
														A__	     =							f.read()

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






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""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(UpperCamelCase__				)				)

														A__	     =							Path(UpperCamelCase__				).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(UpperCamelCase__				) == 0
														all_relative_imports.extend(UpperCamelCase__				)

							return all_relative_imports






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							with open(UpperCamelCase__       ,    'r'       ,    encoding='utf-8'				) as f:
														A__	     =							f.read()

							# Imports of the form `import xxx`
							A__	     =							re.findall('^\s*import\s+(\S+)\s*$'       ,    UpperCamelCase__       ,    flags=re.MULTILINE				)
							# Imports of the form `from xxx import yyy`
							imports += re.findall('^\s*from\s+(\S+)\s+import'       ,    UpperCamelCase__       ,    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(UpperCamelCase__				)				)
							A__	     =							[]
							for imp in imports:
														try:
																					importlib.import_module(UpperCamelCase__				)
														except ImportError:
																					missing_packages.append(UpperCamelCase__				)

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

							return get_relative_imports(UpperCamelCase__				)






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__				):






							"""simple docstring"""





							A__	     =							module_path.replace(os.path.sep       ,    '.'				)
							A__	     =							importlib.import_module(UpperCamelCase__				)

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






def   UpperCAmelCase					(	UpperCamelCase__				):






							"""simple docstring"""





							from ..pipelines import DiffusionPipeline

							A__	     =							dict(inspect.getmembers(UpperCamelCase__       ,    inspect.isclass				)				)

							A__	     =							None
							for cls_name, cls in cls_members.items():
														if (
														    cls_name != DiffusionPipeline.__name__
														    and issubclass(cls       ,    UpperCamelCase__				)
														    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					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = False       ,    UpperCamelCase__ = False       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = False       ,    ):






							"""simple docstring"""





							A__	     =							str(UpperCamelCase__				)

							A__	     =							os.path.join(UpperCamelCase__       ,    UpperCamelCase__				)

							if os.path.isfile(UpperCamelCase__				):
														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=UpperCamelCase__       ,    pipeline=UpperCamelCase__				)
														try:
																					A__	     =							cached_download(
																					    UpperCamelCase__       ,    cache_dir=UpperCamelCase__       ,    force_download=UpperCamelCase__       ,    proxies=UpperCamelCase__       ,    resume_download=UpperCamelCase__       ,    local_files_only=UpperCamelCase__       ,    use_auth_token=UpperCamelCase__       ,    )
																					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(
																					    UpperCamelCase__       ,    UpperCamelCase__       ,    cache_dir=UpperCamelCase__       ,    force_download=UpperCamelCase__       ,    proxies=UpperCamelCase__       ,    resume_download=UpperCamelCase__       ,    local_files_only=UpperCamelCase__       ,    use_auth_token=UpperCamelCase__       ,    )
																					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(UpperCamelCase__				)

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

														A__	     =							model_info(UpperCamelCase__       ,    revision=UpperCamelCase__       ,    token=UpperCamelCase__				).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(UpperCamelCase__				)

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






def   UpperCAmelCase					(	UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = False       ,    UpperCamelCase__ = False       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = None       ,    UpperCamelCase__ = False       ,    **UpperCamelCase__       ,    ):






							"""simple docstring"""





							A__	     =							get_cached_module_file(
							    UpperCamelCase__       ,    UpperCamelCase__       ,    cache_dir=UpperCamelCase__       ,    force_download=UpperCamelCase__       ,    resume_download=UpperCamelCase__       ,    proxies=UpperCamelCase__       ,    use_auth_token=UpperCamelCase__       ,    revision=UpperCamelCase__       ,    local_files_only=UpperCamelCase__       ,    )
							return get_class_in_module(UpperCamelCase__       ,    final_module.replace('.py'       ,    ''				)				)






"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCamelCase											=  {"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase											=  ["GLPNFeatureExtractor"]
				__lowerCamelCase											=  ["GLPNImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase											=  [
				    "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "GLPNForDepthEstimation",
				    "GLPNLayer",
				    "GLPNModel",
				    "GLPNPreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_glpn import GLPNFeatureExtractor
								from .image_processing_glpn import GLPNImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_glpn import (
								    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    GLPNForDepthEstimation,
								    GLPNLayer,
								    GLPNModel,
								    GLPNPreTrainedModel,
								)


else:
				import sys

				__lowerCamelCase											=  _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





