

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


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




def 	_a       (				):

		"""simple docstring"""

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




def 	_a       (				):

		"""simple docstring"""

		if HF_MODULES_CACHE in sys.path:
				return

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




def 	_a       (				__lowerCAmelCase		:      Union[str, os.PathLike]     ):

		"""simple docstring"""

		init_hf_modules()
		snake_case__						:       Dict       						=  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__						:       List[str]       						=  dynamic_module_path / '''__init__.py'''
		if not init_path.exists():
				init_path.touch()




def 	_a       (				__lowerCAmelCase		:      Dict     ):

		"""simple docstring"""

		with open(__lowerCAmelCase   ,							'''r'''   ,							encoding='''utf-8'''     ) as f:
				snake_case__						:       str       						=  f.read()

		# Imports of the form `import .xxx`
		snake_case__						:       str       						=  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 	_a       (				__lowerCAmelCase		:      List[Any]     ):

		"""simple docstring"""

		snake_case__						:       str       						=  False
		snake_case__						:       List[Any]       						=  [module_file]
		snake_case__						:       Dict       						=  []

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

				snake_case__						:       List[Any]       						=  Path(__lowerCAmelCase     ).parent
				snake_case__						:       Tuple       						=  [str(module_path / m     ) for m in new_imports]
				snake_case__						:       Optional[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[int]       						=  len(__lowerCAmelCase     ) == 0
				all_relative_imports.extend(__lowerCAmelCase     )

		return all_relative_imports




def 	_a       (				__lowerCAmelCase		:      Optional[int]     ):

		"""simple docstring"""

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

		# Imports of the form `import xxx`
		snake_case__						:       Union[str, Any]       						=  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__						:       List[str]       						=  [imp.split('''.'''     )[0] for imp in imports if not imp.startswith('''.'''     )]

		# Unique-ify and test we got them all
		snake_case__						:       str       						=  list(set(__lowerCAmelCase     )     )
		snake_case__						:       Tuple       						=  []
		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 	_a       (				__lowerCAmelCase		:      Optional[Any]   ,							__lowerCAmelCase		:      str     ):

		"""simple docstring"""

		snake_case__						:       Optional[int]       						=  module_path.replace(os.path.sep   ,							'''.'''     )
		snake_case__						:       List[Any]       						=  importlib.import_module(__lowerCAmelCase     )

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




def 	_a       (				__lowerCAmelCase		:      int     ):

		"""simple docstring"""

		from ..pipelines import DiffusionPipeline

		snake_case__						:       Union[str, Any]       						=  dict(inspect.getmembers(__lowerCAmelCase   ,							inspect.isclass     )     )

		snake_case__						:       Union[str, Any]       						=  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__						:       Optional[int]       						=  cls

		return pipeline_class




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

		"""simple docstring"""

		snake_case__						:       str       						=  str(__lowerCAmelCase     )

		snake_case__						:       int       						=  os.path.join(__lowerCAmelCase   ,							__lowerCAmelCase     )

		if os.path.isfile(__lowerCAmelCase     ):
				snake_case__						:       Tuple       						=  module_file_or_url
				snake_case__						:       List[str]       						=  '''local'''
		elif pretrained_model_name_or_path.count('''/'''     ) == 0:
				snake_case__						:       int       						=  get_diffusers_versions()
				# cut ".dev0"
				snake_case__						:       Union[str, Any]       						=  '''v''' + '''.'''.join(__version__.split('''.'''     )[:3]     )

				# retrieve github version that matches
				if revision is None:
						snake_case__						:       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__						:       Dict       						=  F"""v{revision}"""
				elif revision == "main":
						snake_case__						:       Any       						=  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__						:       int       						=  COMMUNITY_PIPELINES_URL.format(revision=__lowerCAmelCase   ,							pipeline=__lowerCAmelCase     )
				try:
						snake_case__						:       str       						=  cached_download(
						    __lowerCAmelCase   ,							cache_dir=__lowerCAmelCase   ,							force_download=__lowerCAmelCase   ,							proxies=__lowerCAmelCase   ,							resume_download=__lowerCAmelCase   ,							local_files_only=__lowerCAmelCase   ,							use_auth_token=__lowerCAmelCase   ,							)
						snake_case__						:       Optional[Any]       						=  '''git'''
						snake_case__						:       List[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
						snake_case__						:       Optional[Any]       						=  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__						:       Dict       						=  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(__lowerCAmelCase     )

		# Now we move the module inside our cached dynamic modules.
		snake_case__						:       int       						=  DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
		create_dynamic_module(__lowerCAmelCase     )
		snake_case__						:       Optional[Any]       						=  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__						:       str       						=  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__						:       Union[str, 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__						:       int       						=  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__						:       Optional[Any]       						=  submodule_path / commit_hash
				snake_case__						:       Optional[int]       						=  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 	_a       (				__lowerCAmelCase		:      Union[str, os.PathLike]   ,							__lowerCAmelCase		:      str   ,							__lowerCAmelCase		:      Optional[str] = None   ,							__lowerCAmelCase		:      Optional[Union[str, os.PathLike]] = None   ,							__lowerCAmelCase		:      bool = False   ,							__lowerCAmelCase		:      bool = False   ,							__lowerCAmelCase		:      Optional[Dict[str, str]] = None   ,							__lowerCAmelCase		:      Optional[Union[bool, str]] = None   ,							__lowerCAmelCase		:      Optional[str] = None   ,							__lowerCAmelCase		:      bool = False   ,							**__lowerCAmelCase		:      Union[str, Any]   ,							):

		"""simple docstring"""

		snake_case__						:       List[Any]       						=  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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__						:       Dict										=						logging.get_logger(__name__)

lowerCAmelCase__						:       Tuple										=						{"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}




class     a			(				SCREAMING_SNAKE_CASE       ):






						"""simple docstring"""




						__UpperCAmelCase			     =    """ctrl"""
						__UpperCAmelCase			     =    ["""past_key_values"""]
						__UpperCAmelCase			     =    {
						    """max_position_embeddings""": """n_positions""",
						    """hidden_size""": """n_embd""",
						    """num_attention_heads""": """n_head""",
						    """num_hidden_layers""": """n_layer""",
						}







						def __init__(							self					:      Tuple			,			snake_case_					:      Dict=2_4_6_5_3_4			,			snake_case_					:      Optional[int]=2_5_6			,			snake_case_					:      Dict=1_2_8_0			,			snake_case_					:      Union[str, Any]=8_1_9_2			,			snake_case_					:      Any=4_8			,			snake_case_					:      List[Any]=1_6			,			snake_case_					:      Optional[Any]=0.1			,			snake_case_					:      Union[str, Any]=0.1			,			snake_case_					:      Optional[Any]=1e-6			,			snake_case_					:      List[Any]=0.0_2			,			snake_case_					:      Dict=True			,			**snake_case_					:      List[Any]			,			):



								'''simple docstring'''



								snake_case__						:       Any       						=  vocab_size
								snake_case__						:       int       						=  n_positions
								snake_case__						:       Optional[int]       						=  n_embd
								snake_case__						:       str       						=  n_layer
								snake_case__						:       Any       						=  n_head
								snake_case__						:       str       						=  dff
								snake_case__						:       Any       						=  resid_pdrop
								snake_case__						:       Tuple       						=  embd_pdrop
								snake_case__						:       List[str]       						=  layer_norm_epsilon
								snake_case__						:       int       						=  initializer_range

								snake_case__						:       Optional[int]       						=  use_cache

								super().__init__(**snake_case_  )



