


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





def __snake_case      (   ):
 lowerCamelCase_  				=						"https://pypi.org/pypi/diffusers/json"
 lowerCamelCase_  				=						json.loads(request.urlopen(_lowercase	).read()	)["releases"].keys()
 return sorted(_lowercase      ,       key=lambda UpperCAmelCase_	: version.Version(_lowercase	)	)





def __snake_case      (   ):







 if HF_MODULES_CACHE in sys.path:
  return

 sys.path.append(_lowercase	)
 os.makedirs(_lowercase      ,       exist_ok=_lowercase	)
 lowerCamelCase_  				=						Path(_lowercase	) / "__init__.py"
 if not init_path.exists():
  init_path.touch()





def __snake_case      (   UpperCAmelCase_		:		Union[str, Any]	):
 init_hf_modules()
 lowerCamelCase_  				=						Path(_lowercase	) / 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(_lowercase      ,       exist_ok=_lowercase	)
 lowerCamelCase_  				=						dynamic_module_path / "__init__.py"
 if not init_path.exists():
  init_path.touch()





def __snake_case      (   UpperCAmelCase_		:		Optional[int]	):







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

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





def __snake_case      (   UpperCAmelCase_		:		str	):
 lowerCamelCase_  				=						False
 lowerCamelCase_  				=						[module_file]
 lowerCamelCase_  				=						[]

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

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

  lowerCamelCase_  				=						len(_lowercase	) == 0
  all_relative_imports.extend(_lowercase	)

 return all_relative_imports





def __snake_case      (   UpperCAmelCase_		:		Union[str, Any]	):







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

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

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

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

 return get_relative_imports(_lowercase	)





def __snake_case      (   UpperCAmelCase_		:		Tuple      ,       UpperCAmelCase_		:		Optional[int]	):
 lowerCamelCase_  				=						module_path.replace(os.path.sep      ,       "."	)
 lowerCamelCase_  				=						importlib.import_module(_lowercase	)

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





def __snake_case      (   UpperCAmelCase_		:		Optional[int]	):
 from ..pipelines import DiffusionPipeline

 lowerCamelCase_  				=						dict(inspect.getmembers(_lowercase      ,       inspect.isclass	)	)

 lowerCamelCase_  				=						None
 for cls_name, cls in cls_members.items():
  if (
      cls_name != DiffusionPipeline.__name__
      and issubclass(cls      ,       _lowercase	)
      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}.'''	)
   lowerCamelCase_  				=						cls

 return pipeline_class





def __snake_case      (   UpperCAmelCase_		:		str      ,       UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Union[str, Any] = None      ,       UpperCAmelCase_		:		List[Any] = False      ,       UpperCAmelCase_		:		int = False      ,       UpperCAmelCase_		:		Optional[Any] = None      ,       UpperCAmelCase_		:		List[str] = None      ,       UpperCAmelCase_		:		Union[str, Any] = None      ,       UpperCAmelCase_		:		Dict = False      ,       ):
 lowerCamelCase_  				=						str(_lowercase	)

 lowerCamelCase_  				=						os.path.join(_lowercase      ,       _lowercase	)

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

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

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

  lowerCamelCase_  				=						model_info(_lowercase      ,       revision=_lowercase      ,       token=_lowercase	).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.
  lowerCamelCase_  				=						submodule_path / commit_hash
  lowerCamelCase_  				=						full_submodule + os.path.sep + commit_hash
  create_dynamic_module(_lowercase	)

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







def __snake_case      (   UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Any      ,       UpperCAmelCase_		:		Optional[Any] = None      ,       UpperCAmelCase_		:		List[str] = None      ,       UpperCAmelCase_		:		int = False      ,       UpperCAmelCase_		:		Tuple = False      ,       UpperCAmelCase_		:		Union[str, Any] = None      ,       UpperCAmelCase_		:		List[str] = None      ,       UpperCAmelCase_		:		Optional[Any] = None      ,       UpperCAmelCase_		:		List[Any] = False      ,       **UpperCAmelCase_		:		Optional[Any]      ,       ):
 lowerCamelCase_  				=						get_cached_module_file(
     _lowercase      ,       _lowercase      ,       cache_dir=_lowercase      ,       force_download=_lowercase      ,       resume_download=_lowercase      ,       proxies=_lowercase      ,       use_auth_token=_lowercase      ,       revision=_lowercase      ,       local_files_only=_lowercase      ,       )
 return get_class_in_module(_lowercase      ,       final_module.replace(".py"      ,       ""	)	)







'''simple docstring'''

import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


a_						:       Dict      			=				logging.get_logger(__name__)

a_						:       List[Any]      			=				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

a_						:       Optional[Any]      			=				{
    """tokenizer_file""": {
        """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json""",
    },
}

a_						:       str      			=				{
    """gpt-neox-20b""": 2048,
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]






  def __init__(					self    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase=False    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   super().__init__(
       UpperCamelCase    ,						UpperCamelCase    ,						tokenizer_file=UpperCamelCase    ,						unk_token=UpperCamelCase    ,						bos_token=UpperCamelCase    ,						eos_token=UpperCamelCase    ,						add_prefix_space=UpperCamelCase    ,						**UpperCamelCase    ,						)

   lowerCamelCase_  				=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
   if pre_tok_state.get("add_prefix_space"    ,						UpperCamelCase  ) != add_prefix_space:
    lowerCamelCase_  				=						getattr(UpperCamelCase    ,						pre_tok_state.pop("type"  )  )
    lowerCamelCase_  				=						add_prefix_space
    lowerCamelCase_  				=						pre_tok_class(**UpperCamelCase  )

   lowerCamelCase_  				=						add_prefix_space






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						self._tokenizer.model.save(UpperCamelCase    ,						name=UpperCamelCase  )
   return tuple(UpperCamelCase  )







  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						[]
   for is_user, text in conversation.iter_texts():
    input_ids.extend(self.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  ) + [self.eos_token_id]  )

   if len(UpperCamelCase  ) > self.model_max_length:
    lowerCamelCase_  				=						input_ids[-self.model_max_length :]
   return input_ids



