






"""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


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


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



def 						lowercase    (				):
		lowercase_ : Tuple							       =   '''https://pypi.org/pypi/diffusers/json'''
		lowercase_ : str							       =   json.loads(request.urlopen(__snake_case	).read()	)['''releases'''].keys()
		return sorted(__snake_case		,					key=lambda __snake_case	: version.Version(__snake_case	)	)



def 						lowercase    (				):
		# 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	)
		lowercase_ : List[str]							       =   Path(__snake_case	) / '''__init__.py'''
		if not init_path.exists():
				init_path.touch()



def 						lowercase    (				__snake_case				: Union[str, os.PathLike]	):
		init_hf_modules()
		lowercase_ : List[str]							       =   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	)
		lowercase_ : str							       =   dynamic_module_path / '''__init__.py'''
		if not init_path.exists():
				init_path.touch()



def 						lowercase    (				__snake_case				: Union[str, Any]	):
		with open(__snake_case		,					'''r'''		,					encoding='''utf-8'''	) as f:
				lowercase_ : int							       =   f.read()

		# Imports of the form `import .xxx`
		lowercase_ : List[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 						lowercase    (				__snake_case				: int	):
		lowercase_ : List[Any]							       =   False
		lowercase_ : Dict							       =   [module_file]
		lowercase_ : List[str]							       =   []

		# Let's recurse through all relative imports
		while not no_change:
				lowercase_ : Union[str, Any]							       =   []
				for f in files_to_check:
						new_imports.extend(get_relative_imports(__snake_case	)	)

				lowercase_ : Optional[Any]							       =   Path(__snake_case	).parent
				lowercase_ : Any							       =   [str(module_path / m	) for m in new_imports]
				lowercase_ : str							       =   [f for f in new_import_files if f not in all_relative_imports]
				lowercase_ : List[Any]							       =   [F'''{f}.py''' for f in new_import_files]

				lowercase_ : Union[str, Any]							       =   len(__snake_case	) == 0
				all_relative_imports.extend(__snake_case	)

		return all_relative_imports



def 						lowercase    (				__snake_case				: List[Any]	):
		with open(__snake_case		,					'''r'''		,					encoding='''utf-8'''	) as f:
				lowercase_ : Optional[Any]							       =   f.read()

		# Imports of the form `import xxx`
		lowercase_ : Optional[int]							       =   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
		lowercase_ : str							       =   [imp.split('''.'''	)[0] for imp in imports if not imp.startswith('''.'''	)]

		# Unique-ify and test we got them all
		lowercase_ : List[Any]							       =   list(set(__snake_case	)	)
		lowercase_ : List[str]							       =   []
		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 						lowercase    (				__snake_case				: Any		,					__snake_case				: List[str]	):
		lowercase_ : Tuple							       =   module_path.replace(os.path.sep		,					'''.'''	)
		lowercase_ : List[Any]							       =   importlib.import_module(__snake_case	)

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



def 						lowercase    (				__snake_case				: List[Any]	):
		from ..pipelines import DiffusionPipeline

		lowercase_ : Any							       =   dict(inspect.getmembers(__snake_case		,					inspect.isclass	)	)

		lowercase_ : Union[str, Any]							       =   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}.'''	)
						lowercase_ : List[str]							       =   cls

		return pipeline_class



def 						lowercase    (				__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		,					):
		lowercase_ : Optional[Any]							       =   str(__snake_case	)

		lowercase_ : Optional[Any]							       =   os.path.join(__snake_case		,					__snake_case	)

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

				# retrieve github version that matches
				if revision is None:
						lowercase_ : Any							       =   latest_version if latest_version[1:] in available_versions else '''main'''
						logger.info(F'''Defaulting to latest_version: {revision}.'''	)
				elif revision in available_versions:
						lowercase_ : Optional[int]							       =   F'''v{revision}'''
				elif revision == "main":
						lowercase_ : Optional[int]							       =   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
				lowercase_ : Union[str, Any]							       =   COMMUNITY_PIPELINES_URL.format(revision=__snake_case		,					pipeline=__snake_case	)
				try:
						lowercase_ : Any							       =   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		,					)
						lowercase_ : Union[str, Any]							       =   '''git'''
						lowercase_ : str							       =   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
						lowercase_ : int							       =   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		,					)
						lowercase_ : Optional[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
		lowercase_ : List[str]							       =   check_imports(__snake_case	)

		# Now we move the module inside our cached dynamic modules.
		lowercase_ : str							       =   DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
		create_dynamic_module(__snake_case	)
		lowercase_ : 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:
						lowercase_ : List[str]							       =   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	):
						lowercase_ : Any							       =   use_auth_token
				elif use_auth_token is True:
						lowercase_ : Optional[Any]							       =   HfFolder.get_token()
				else:
						lowercase_ : List[Any]							       =   None

				lowercase_ : Dict							       =   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.
				lowercase_ : int							       =   submodule_path / commit_hash
				lowercase_ : Optional[int]							       =   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 						lowercase    (				__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				: Dict		,					):
		lowercase_ : int							       =   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'''		,					''''''	)	)










'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__    :      List[Any]						=    logging.get_logger(__name__)

lowercase__    :      str						=    {}


class  SCREAMING_SNAKE_CASE    (a__							):
     lowerCAmelCase					=       '''llama'''
     lowerCAmelCase					=       ['''past_key_values''']


     def __init__(						self						,	_UpperCAmelCase=3_2000						,	_UpperCAmelCase=4096						,	_UpperCAmelCase=1_1008						,	_UpperCAmelCase=32						,	_UpperCAmelCase=32						,	_UpperCAmelCase=None						,	_UpperCAmelCase="silu"						,	_UpperCAmelCase=2048						,	_UpperCAmelCase=0.02						,	_UpperCAmelCase=1e-6						,	_UpperCAmelCase=True						,	_UpperCAmelCase=0						,	_UpperCAmelCase=1						,	_UpperCAmelCase=2						,	_UpperCAmelCase=1						,	_UpperCAmelCase=False						,	_UpperCAmelCase=None						,	**_UpperCAmelCase						,	):

          '''simple docstring'''






          __A						: Union[str, Any]      =       vocab_size
          __A						: Union[str, Any]      =       max_position_embeddings
          __A						: Any      =       hidden_size
          __A						: Optional[Any]      =       intermediate_size
          __A						: str      =       num_hidden_layers
          __A						: Optional[Any]      =       num_attention_heads

          # for backward compatibility
          if num_key_value_heads is None:
               __A						: List[Any]      =       num_attention_heads

          __A						: int      =       num_key_value_heads
          __A						: List[Any]      =       hidden_act
          __A						: Union[str, Any]      =       initializer_range
          __A						: List[Any]      =       rms_norm_eps
          __A						: Any      =       pretraining_tp
          __A						: Optional[Any]      =       use_cache
          __A						: Dict      =       rope_scaling
          self._rope_scaling_validation()

          super().__init__(
              pad_token_id=_UpperCAmelCase						,	bos_token_id=_UpperCAmelCase						,	eos_token_id=_UpperCAmelCase						,	tie_word_embeddings=_UpperCAmelCase						,	**_UpperCAmelCase						,	)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          if self.rope_scaling is None:
               return

          if not isinstance(self.rope_scaling						,	_UpperCAmelCase) or len(self.rope_scaling) != 2:
               raise ValueError(
                   '`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '
                   F'got {self.rope_scaling}')
          __A						: Optional[Any]      =       self.rope_scaling.get('type'						,	_UpperCAmelCase)
          __A						: Tuple      =       self.rope_scaling.get('factor'						,	_UpperCAmelCase)
          if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
               raise ValueError(
                   F'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}')
          if rope_scaling_factor is None or not isinstance(_UpperCAmelCase						,	_UpperCAmelCase) or rope_scaling_factor <= 1.0:
               raise ValueError(F'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}')