
# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


snake_case						: Dict         =  get_logger(__name__)

class        _UpperCamelCase				:






			'''simple docstring'''

			__UpperCamelCase      :						Optional[Any]					      = """dummy_data"""
			__UpperCamelCase      :						List[Any]					      = """datasets"""
			__UpperCamelCase      :						Optional[Any]					      = False

			def __init__(       self :       Dict						,	snake_case_ :       str						,	snake_case_ :       str						,	snake_case_ :       Union[Version, str]						,	snake_case_ :       Optional[str] = None						,	snake_case_ :       bool = False						,	snake_case_ :       bool = True						,	snake_case_ :       Optional[List[Callable]] = None						,	):
							UpperCamelCase_:							Tuple	=						0
							UpperCamelCase_:							int	=						dataset_name
							UpperCamelCase_:							Optional[int]	=						cache_dir
							UpperCamelCase_:							Optional[Any]	=						use_local_dummy_data
							UpperCamelCase_:							List[str]	=						config
							# download_callbacks take a single url as input
							UpperCamelCase_:							List[Callable]	=						download_callbacks or []
							# if False, it doesn't load existing files and it returns the paths of the dummy files relative
							# to the dummy_data zip file root
							UpperCamelCase_:							Optional[Any]	=						load_existing_dummy_data

							# TODO(PVP, QL) might need to make this more general
							UpperCamelCase_:							Optional[Any]	=						str(snake_case_      )
							# to be downloaded
							UpperCamelCase_:							Any	=						None
							UpperCamelCase_:							Tuple	=						None

			@property
			def       lowerCAmelCase__	(       self :       Tuple      ):
							if self._dummy_file is None:
											UpperCamelCase_:							int	=						self.download_dummy_data()
							return self._dummy_file

			@property
			def       lowerCAmelCase__	(       self :       List[Any]      ):
							if self.config is not None:
											# structure is dummy / config_name / version_name
											return os.path.join("""dummy"""						,	self.config.name						,	self.version_name      )
							# structure is dummy / version_name
							return os.path.join("""dummy"""						,	self.version_name      )

			@property
			def       lowerCAmelCase__	(       self :       str      ):
							return os.path.join(self.dummy_data_folder						,	"""dummy_data.zip"""      )

			def       lowerCAmelCase__	(       self :       Any      ):
							UpperCamelCase_:							str	=						(
							    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
							)

							UpperCamelCase_:							Optional[Any]	=						cached_path(
							    snake_case_						,	cache_dir=self.cache_dir						,	extract_compressed_file=snake_case_						,	force_extract=snake_case_      )

							return os.path.join(snake_case_						,	self.dummy_file_name      )

			@property
			def       lowerCAmelCase__	(       self :       Optional[Any]      ):
							return os.path.join(self.datasets_scripts_dir						,	self.dataset_name						,	self.dummy_zip_file      )

			@property
			def       lowerCAmelCase__	(       self :       Union[str, Any]      ):
							if self._bucket_url is None:
											UpperCamelCase_:							Union[str, Any]	=						hf_github_url(self.dataset_name						,	self.dummy_zip_file.replace(os.sep						,	"""/"""      )      )
							return self._bucket_url

			@property
			def       lowerCAmelCase__	(       self :       int      ):
							# return full path if its a dir
							if os.path.isdir(self.dummy_file      ):
											return self.dummy_file
							# else cut off path to file -> example `xsum`.
							return "/".join(self.dummy_file.replace(os.sep						,	"""/"""      ).split("""/"""      )[:-1]      )

			def       lowerCAmelCase__	(       self :       Any						,	snake_case_ :       Optional[int]						,	*snake_case_ :       Tuple      ):
							if self.load_existing_dummy_data:
											# dummy data is downloaded and tested
											UpperCamelCase_:							List[str]	=						self.dummy_file
							else:
											# dummy data cannot be downloaded and only the path to dummy file is returned
											UpperCamelCase_:							Dict	=						self.dummy_file_name

							# special case when data_url is a dict
							if isinstance(snake_case_						,	snake_case_      ):
											return self.create_dummy_data_dict(snake_case_						,	snake_case_      )
							elif isinstance(snake_case_						,	(list, tuple)      ):
											return self.create_dummy_data_list(snake_case_						,	snake_case_      )
							else:
											return self.create_dummy_data_single(snake_case_						,	snake_case_      )

			def       lowerCAmelCase__	(       self :       Optional[Any]						,	snake_case_ :       int						,	*snake_case_ :       List[str]      ):
							return self.download_and_extract(snake_case_      )

			def       lowerCAmelCase__	(       self :       Dict						,	snake_case_ :       List[Any]						,	snake_case_ :       List[Any]      ):
							return self.download_and_extract(snake_case_      )

			def       lowerCAmelCase__	(       self :       int						,	snake_case_ :       Tuple						,	*snake_case_ :       Dict						,	**snake_case_ :       int      ):
							return path

			def       lowerCAmelCase__	(       self :       Optional[Any]      ):
							return {}

			def       lowerCAmelCase__	(       self :       Optional[Any]						,	snake_case_ :       Any						,	snake_case_ :       Optional[int]      ):
							UpperCamelCase_:							List[Any]	=						{}
							for key, single_urls in data_url.items():
											for download_callback in self.download_callbacks:
															if isinstance(snake_case_						,	snake_case_      ):
																			for single_url in single_urls:
																							download_callback(snake_case_      )
															else:
																			UpperCamelCase_:							List[str]	=						single_urls
																			download_callback(snake_case_      )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
											if isinstance(snake_case_						,	snake_case_      ):
															UpperCamelCase_:							Dict	=						[os.path.join(snake_case_						,	urllib.parse.quote_plus(Path(snake_case_      ).name      )      ) for x in single_urls]
											else:
															UpperCamelCase_:							Tuple	=						single_urls
															UpperCamelCase_:							str	=						os.path.join(snake_case_						,	urllib.parse.quote_plus(Path(snake_case_      ).name      )      )
											UpperCamelCase_:							List[Any]	=						value

							# make sure that values are unique
							if all(isinstance(snake_case_						,	snake_case_      ) for i in dummy_data_dict.values()      ) and len(set(dummy_data_dict.values()      )      ) < len(
							    dummy_data_dict.values()      ):
											# append key to value to make its name unique
											UpperCamelCase_:							str	=						{key: value + key for key, value in dummy_data_dict.items()}

							return dummy_data_dict

			def       lowerCAmelCase__	(       self :       int						,	snake_case_ :       List[Any]						,	snake_case_ :       Dict      ):
							UpperCamelCase_:							List[str]	=						[]
							# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
							UpperCamelCase_:							Dict	=						all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""						,	snake_case_      )      ) for url in data_url      )
							UpperCamelCase_:							int	=						all(
							    url.startswith("""https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"""      ) for url in data_url      )
							if data_url and (is_tf_records or is_pubmed_records):
											UpperCamelCase_:							List[str]	=						[data_url[0]] * len(snake_case_      )
							for single_url in data_url:
											for download_callback in self.download_callbacks:
															download_callback(snake_case_      )
											# we force the name of each key to be the last file / folder name of the url path
											# if the url has arguments, we need to encode them with urllib.parse.quote_plus
											UpperCamelCase_:							List[str]	=						os.path.join(snake_case_						,	urllib.parse.quote_plus(single_url.split("""/"""      )[-1]      )      )
											dummy_data_list.append(snake_case_      )
							return dummy_data_list

			def       lowerCAmelCase__	(       self :       List[Any]						,	snake_case_ :       Dict						,	snake_case_ :       List[Any]      ):
							for download_callback in self.download_callbacks:
											download_callback(snake_case_      )
							# we force the name of each key to be the last file / folder name of the url path
							# if the url has arguments, we need to encode them with urllib.parse.quote_plus
							UpperCamelCase_:							Optional[Any]	=						os.path.join(snake_case_						,	urllib.parse.quote_plus(data_url.split("""/"""      )[-1]      )      )
							if os.path.exists(snake_case_      ) or not self.load_existing_dummy_data:
											return value
							else:
											# Backward compatibility, maybe deprecate at one point.
											# For many datasets with single url calls to dl_manager.download_and_extract,
											# the dummy_data.zip file is actually the zipped downloaded file
											# while now we expected the dummy_data.zip file to be a directory containing
											# the downloaded file.
											return path_to_dummy_data

			def       lowerCAmelCase__	(       self :       Optional[Any]      ):
							pass

			def       lowerCAmelCase__	(       self :       Optional[int]      ):
							pass

			def       lowerCAmelCase__	(       self :       Dict						,	snake_case_ :       Optional[Any]      ):
							def _iter_archive_members(snake_case_ :       Optional[Any]      ):
											# this preserves the order of the members inside the ZIP archive
											UpperCamelCase_:							Union[str, Any]	=						Path(self.dummy_file      ).parent
											UpperCamelCase_:							Union[str, Any]	=						path.relative_to(snake_case_      )
											with ZipFile(self.local_path_to_dummy_data      ) as zip_file:
															UpperCamelCase_:							Union[str, Any]	=						zip_file.namelist()
											for member in members:
															if member.startswith(relative_path.as_posix()      ):
																			yield dummy_parent_path.joinpath(snake_case_      )

							UpperCamelCase_:							Optional[int]	=						Path(snake_case_      )
							UpperCamelCase_:							int	=						_iter_archive_members(snake_case_      ) if self.use_local_dummy_data else path.rglob("""*"""      )
							for file_path in file_paths:
											if file_path.is_file() and not file_path.name.startswith((""".""", """__""")      ):
															yield file_path.relative_to(snake_case_      ).as_posix(), file_path.open("""rb"""      )




			def       lowerCAmelCase__	(       self :       Any						,	snake_case_ :       Union[str, Any]      ):
							if not isinstance(snake_case_						,	snake_case_      ):
											UpperCamelCase_:							List[Any]	=						[paths]
							for path in paths:
											if os.path.isfile(snake_case_      ):
															if os.path.basename(snake_case_      ).startswith((""".""", """__""")      ):
																			return
															yield path
											else:
															for dirpath, dirnames, filenames in os.walk(snake_case_      ):
																			if os.path.basename(snake_case_      ).startswith((""".""", """__""")      ):
																							continue
																			dirnames.sort()
																			for filename in sorted(snake_case_      ):
																							if filename.startswith((""".""", """__""")      ):
																											continue
																							yield os.path.join(snake_case_						,	snake_case_      )








import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


lowerCamelCase_						: Optional[int]         =  HUGGINGFACE_HUB_CACHE


lowerCamelCase_						: List[str]         =  """config.json"""
lowerCamelCase_						: Any         =  """diffusion_pytorch_model.bin"""
lowerCamelCase_						: Union[str, Any]         =  """diffusion_flax_model.msgpack"""
lowerCamelCase_						: Dict         =  """model.onnx"""
lowerCamelCase_						: List[Any]         =  """diffusion_pytorch_model.safetensors"""
lowerCamelCase_						: Optional[Any]         =  """weights.pb"""
lowerCamelCase_						: Optional[Any]         =  """https://huggingface.co"""
lowerCamelCase_						: Union[str, Any]         =  default_cache_path
lowerCamelCase_						: Tuple         =  """diffusers_modules"""
lowerCamelCase_						: Optional[Any]         =  os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
lowerCamelCase_						: str         =  ["""fp16""", """non-ema"""]
lowerCamelCase_						: List[Any]         =  """.self_attn"""






