


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


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


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






def __UpperCamelCase   (			)      ->     Union[str, Any]:







     '''simple docstring'''






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






def __UpperCamelCase   (			)      ->     List[Any]:







     '''simple docstring'''






     if HF_MODULES_CACHE in sys.path:
          return

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






def __UpperCamelCase   (			__lowerCamelCase		: Union[str, os.PathLike]				)      ->     Union[str, Any]:







     '''simple docstring'''






     init_hf_modules()
     _a						=		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				)
     _a						=		dynamic_module_path / "__init__.py"
     if not init_path.exists():
          init_path.touch()






def __UpperCamelCase   (			__lowerCamelCase		: int				)      ->     List[str]:







     '''simple docstring'''






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

     # Imports of the form `import .xxx`
     _a						=		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   (			__lowerCamelCase		: Optional[Any]				)      ->     str:







     '''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(__lowerCamelCase				)				)

          _a						=		Path(__lowerCamelCase				).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(__lowerCamelCase				) == 0
          all_relative_imports.extend(__lowerCamelCase				)

     return all_relative_imports






def __UpperCamelCase   (			__lowerCamelCase		: Optional[Any]				)      ->     Union[str, Any]:







     '''simple docstring'''






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

     # Imports of the form `import xxx`
     _a						=		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
     _a						=		[imp.split("."				)[0] for imp in imports if not imp.startswith("."				)]

     # Unique-ify and test we got them all
     _a						=		list(set(__lowerCamelCase				)				)
     _a						=		[]
     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   (			__lowerCamelCase		: str      ,  __lowerCamelCase		: Union[str, Any]				)      ->     int:







     '''simple docstring'''






     _a						=		module_path.replace(os.path.sep      ,  "."				)
     _a						=		importlib.import_module(__lowerCamelCase				)

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






def __UpperCamelCase   (			__lowerCamelCase		: str				)      ->     Union[str, Any]:







     '''simple docstring'''






     from ..pipelines import DiffusionPipeline

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

     _a						=		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}."				)
               _a						=		cls

     return pipeline_class






def __UpperCamelCase   (			__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      ,  )      ->     Optional[Any]:







     '''simple docstring'''






     _a						=		str(__lowerCamelCase				)

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

     if os.path.isfile(__lowerCamelCase				):
          _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=__lowerCamelCase      ,  pipeline=__lowerCamelCase				)
          try:
               _a						=		cached_download(
                   __lowerCamelCase      ,  cache_dir=__lowerCamelCase      ,  force_download=__lowerCamelCase      ,  proxies=__lowerCamelCase      ,  resume_download=__lowerCamelCase      ,  local_files_only=__lowerCamelCase      ,  use_auth_token=__lowerCamelCase      ,  )
               _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(
                   __lowerCamelCase      ,  __lowerCamelCase      ,  cache_dir=__lowerCamelCase      ,  force_download=__lowerCamelCase      ,  proxies=__lowerCamelCase      ,  resume_download=__lowerCamelCase      ,  local_files_only=__lowerCamelCase      ,  use_auth_token=__lowerCamelCase      ,  )
               _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(__lowerCamelCase				)

     # Now we move the module inside our cached dynamic modules.
     _a						=		DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
     create_dynamic_module(__lowerCamelCase				)
     _a						=		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:
               _a						=		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				):
               _a						=		use_auth_token
          elif use_auth_token is True:
               _a						=		HfFolder.get_token()
          else:
               _a						=		None

          _a						=		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.
          _a						=		submodule_path / commit_hash
          _a						=		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   (			__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		: Optional[int]      ,  )      ->     Tuple:







     '''simple docstring'''






     _a						=		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'''

import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer






def __UpperCamelCase   (			__lowerCamelCase		: Optional[int]      ,  __lowerCamelCase		: str      ,  __lowerCamelCase		: str      ,  __lowerCamelCase		: Dict=1024				)      ->     str:







     '''simple docstring'''






     _a			,			_a						=		[], []

     _a						=		list(zip(__lowerCamelCase      ,  __lowerCamelCase				)				)
     _a			,			_a						=		sorted_examples[0]

     def is_too_big(__lowerCamelCase		: Union[str, Any]				):
          return tok(__lowerCamelCase      ,  return_tensors="pt"				).input_ids.shape[1] > max_tokens

     for src, tgt in tqdm(sorted_examples[1:]				):
          _a						=		new_src + " " + src
          _a						=		new_tgt + " " + tgt
          if is_too_big(__lowerCamelCase				) or is_too_big(__lowerCamelCase				):  # cant fit, finalize example
               finished_src.append(__lowerCamelCase				)
               finished_tgt.append(__lowerCamelCase				)
               _a			,			_a						=		src, tgt
          else:  # can fit, keep adding
               _a			,			_a						=		cand_src, cand_tgt

    # cleanup
     if new_src:
          assert new_tgt
          finished_src.append(__lowerCamelCase				)
          finished_tgt.append(__lowerCamelCase				)
     return finished_src, finished_tgt






def __UpperCamelCase   (			__lowerCamelCase		: int      ,  __lowerCamelCase		: Path      ,  __lowerCamelCase		: str      ,  __lowerCamelCase		: Optional[int]				)      ->     Optional[int]:







     '''simple docstring'''






     _a						=		Path(__lowerCamelCase				)
     save_path.mkdir(exist_ok=__lowerCamelCase				)
     for split in ["train"]:
          _a			,			_a						=		data_dir / F"{split}.source", data_dir / F"{split}.target"
          _a						=		[x.rstrip() for x in Path(__lowerCamelCase				).open().readlines()]
          _a						=		[x.rstrip() for x in Path(__lowerCamelCase				).open().readlines()]
          _a			,			_a						=		pack_examples(__lowerCamelCase      ,  __lowerCamelCase      ,  __lowerCamelCase      ,  __lowerCamelCase				)
          print(F"packed {split} split from {len(__lowerCamelCase				)} examples -> {len(__lowerCamelCase				)}."				)
          Path(save_path / F"{split}.source"				).open("w"				).write("\n".join(__lowerCamelCase				)				)
          Path(save_path / F"{split}.target"				).open("w"				).write("\n".join(__lowerCamelCase				)				)
     for split in ["val", "test"]:
          _a			,			_a						=		data_dir / F"{split}.source", data_dir / F"{split}.target"
          shutil.copyfile(__lowerCamelCase      ,  save_path / F"{split}.source"				)
          shutil.copyfile(__lowerCamelCase      ,  save_path / F"{split}.target"				)






def __UpperCamelCase   (			)      ->     Any:







     '''simple docstring'''






     _a						=		argparse.ArgumentParser()
     parser.add_argument("--tok_name"      ,  type=__lowerCamelCase      ,  help="like facebook/bart-large-cnn,t5-base, etc."				)
     parser.add_argument("--max_seq_len"      ,  type=__lowerCamelCase      ,  default=128				)
     parser.add_argument("--data_dir"      ,  type=__lowerCamelCase				)
     parser.add_argument("--save_path"      ,  type=__lowerCamelCase				)
     _a						=		parser.parse_args()
     _a						=		AutoTokenizer.from_pretrained(args.tok_name				)
     return pack_data_dir(__lowerCamelCase      ,  Path(args.data_dir				)      ,  args.max_seq_len      ,  args.save_path				)


if __name__ == "__main__":
   packer_cli()

