






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


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


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

def _UpperCAmelCase (						):
							snake_case__							=							'https://pypi.org/pypi/diffusers/json'
							snake_case__							=							json.loads(request.urlopen(__lowerCamelCase			).read()			)['releases'].keys()
							return sorted(__lowerCamelCase	,       key=lambda a			: version.Version(__lowerCamelCase			)			)

def _UpperCAmelCase (						):




							if HF_MODULES_CACHE in sys.path:
														return

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

def _UpperCAmelCase (						a    :						Union[str, os.PathLike]			):
							init_hf_modules()
							snake_case__							=							Path(__lowerCamelCase			) / 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(__lowerCamelCase	,       exist_ok=__lowerCamelCase			)
							snake_case__							=							dynamic_module_path / '__init__.py'
							if not init_path.exists():
														init_path.touch()

def _UpperCAmelCase (						a    :						List[Any]			):




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

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

def _UpperCAmelCase (						a    :						Any			):
							snake_case__							=							False
							snake_case__							=							[module_file]
							snake_case__							=							[]

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

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

														snake_case__							=							len(__lowerCamelCase			) == 0
														all_relative_imports.extend(__lowerCamelCase			)

							return all_relative_imports

def _UpperCAmelCase (						a    :						List[Any]			):




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

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

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

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

							return get_relative_imports(__lowerCamelCase			)

def _UpperCAmelCase (						a    :						Optional[int]	,       a    :						Optional[Any]			):
							snake_case__							=							module_path.replace(os.path.sep	,       """."""			)
							snake_case__							=							importlib.import_module(__lowerCamelCase			)

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

def _UpperCAmelCase (						a    :						Tuple			):
							from ..pipelines import DiffusionPipeline

							snake_case__							=							dict(inspect.getmembers(__lowerCamelCase	,       inspect.isclass			)			)

							snake_case__							=							None
							for cls_name, cls in cls_members.items():
														if (
														    cls_name != DiffusionPipeline.__name__
														    and issubclass(cls	,       __lowerCamelCase			)
														    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__							=							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	,       ):
							snake_case__							=							str(__lowerCamelCase			)

							snake_case__							=							os.path.join(__lowerCamelCase	,       __lowerCamelCase			)

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

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

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

														snake_case__							=							model_info(__lowerCamelCase	,       revision=__lowerCamelCase	,       token=__lowerCamelCase			).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__							=							submodule_path / commit_hash
														snake_case__							=							full_submodule + os.path.sep + commit_hash
														create_dynamic_module(__lowerCamelCase			)

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



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    :						Tuple	,       ):
							snake_case__							=							get_cached_module_file(
							    __lowerCamelCase	,       __lowerCamelCase	,       cache_dir=__lowerCamelCase	,       force_download=__lowerCamelCase	,       resume_download=__lowerCamelCase	,       proxies=__lowerCamelCase	,       use_auth_token=__lowerCamelCase	,       revision=__lowerCamelCase	,       local_files_only=__lowerCamelCase	,       )
							return get_class_in_module(__lowerCamelCase	,       final_module.replace(""".py"""	,       """"""			)			)




'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase				={
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase				=[
     'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TableTransformerForObjectDetection',
     'TableTransformerModel',
     'TableTransformerPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_table_transformer import (
     TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     TableTransformerConfig,
     TableTransformerOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_table_transformer import (
      TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      TableTransformerForObjectDetection,
      TableTransformerModel,
      TableTransformerPreTrainedModel,
  )

else:
 import sys

 lowercase				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

