




# 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


_lowerCamelCase      :  str      						=						get_logger(__name__)
class        __snake_case  :
				lowerCAmelCase__				=     "dummy_data"
				lowerCAmelCase__				=     "datasets"
				lowerCAmelCase__				=     False



				def __init__(      self      :		Tuple		,	_UpperCAmelCase      :		str		,	_UpperCAmelCase      :		str		,	_UpperCAmelCase      :		Union[Version, str]		,	_UpperCAmelCase      :		Optional[str] = None		,	_UpperCAmelCase      :		bool = False		,	_UpperCAmelCase      :		bool = True		,	_UpperCAmelCase      :		Optional[List[Callable]] = None		,	)  ->    str:





								'''simple docstring'''




								_lowerCAmelCase    :    Any										=      0
								_lowerCAmelCase    :    List[Any]										=      dataset_name
								_lowerCAmelCase    :    Optional[Any]										=      cache_dir
								_lowerCAmelCase    :    str										=      use_local_dummy_data
								_lowerCAmelCase    :    List[Any]										=      config
								# download_callbacks take a single url as input
								_lowerCAmelCase    :    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
								_lowerCAmelCase    :    Optional[Any]										=      load_existing_dummy_data

								# TODO(PVP, QL) might need to make this more general
								_lowerCAmelCase    :    Dict										=      str(_UpperCAmelCase      )
								# to be downloaded
								_lowerCAmelCase    :    Union[str, Any]										=      None
								_lowerCAmelCase    :    Dict										=      None



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		int      )  ->    Tuple:





								'''simple docstring'''




								if self._dummy_file is None:
												_lowerCAmelCase    :    List[Any]										=      self.download_dummy_data()
								return self._dummy_file



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		int      )  ->    Optional[Any]:





								'''simple docstring'''




								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       SCREAMING_SNAKE_CASE       (      self      :		List[str]      )  ->    Tuple:





								'''simple docstring'''




								return os.path.join(self.dummy_data_folder		,	"""dummy_data.zip"""      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Any      )  ->    Optional[int]:





								'''simple docstring'''




								_lowerCAmelCase    :    Tuple										=      (
								    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
								)

								_lowerCAmelCase    :    Dict										=      cached_path(
								    _UpperCAmelCase		,	cache_dir=self.cache_dir		,	extract_compressed_file=_UpperCAmelCase		,	force_extract=_UpperCAmelCase      )

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



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		Tuple      )  ->    Union[str, Any]:





								'''simple docstring'''




								return os.path.join(self.datasets_scripts_dir		,	self.dataset_name		,	self.dummy_zip_file      )



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]      )  ->    Any:





								'''simple docstring'''




								if self._bucket_url is None:
												_lowerCAmelCase    :    Any										=      hf_github_url(self.dataset_name		,	self.dummy_zip_file.replace(os.sep		,	"""/"""      )      )
								return self._bucket_url



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		Optional[Any]      )  ->    Optional[Any]:





								'''simple docstring'''




								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       SCREAMING_SNAKE_CASE       (      self      :		Optional[Any]		,	_UpperCAmelCase      :		Dict		,	*_UpperCAmelCase      :		Union[str, Any]      )  ->    Tuple:





								'''simple docstring'''




								if self.load_existing_dummy_data:
												# dummy data is downloaded and tested
												_lowerCAmelCase    :    List[str]										=      self.dummy_file
								else:
												# dummy data cannot be downloaded and only the path to dummy file is returned
												_lowerCAmelCase    :    Dict										=      self.dummy_file_name

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



				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]		,	_UpperCAmelCase      :		Tuple		,	*_UpperCAmelCase      :		Optional[Any]      )  ->    str:





								'''simple docstring'''




								return self.download_and_extract(_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Union[str, Any]		,	_UpperCAmelCase      :		int		,	_UpperCAmelCase      :		Optional[int]      )  ->    str:





								'''simple docstring'''




								return self.download_and_extract(_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		str		,	_UpperCAmelCase      :		Dict		,	*_UpperCAmelCase      :		List[str]		,	**_UpperCAmelCase      :		Tuple      )  ->    Any:





								'''simple docstring'''




								return path



				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]      )  ->    Tuple:





								'''simple docstring'''




								return {}



				def       SCREAMING_SNAKE_CASE       (      self      :		List[str]		,	_UpperCAmelCase      :		Any		,	_UpperCAmelCase      :		Optional[Any]      )  ->    Any:





								'''simple docstring'''




								_lowerCAmelCase    :    Dict										=      {}
								for key, single_urls in data_url.items():
												for download_callback in self.download_callbacks:
																if isinstance(_UpperCAmelCase		,	_UpperCAmelCase      ):
																				for single_url in single_urls:
																								download_callback(_UpperCAmelCase      )
																else:
																				_lowerCAmelCase    :    int										=      single_urls
																				download_callback(_UpperCAmelCase      )
            # 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(_UpperCAmelCase		,	_UpperCAmelCase      ):
																_lowerCAmelCase    :    Any										=      [os.path.join(_UpperCAmelCase		,	urllib.parse.quote_plus(Path(_UpperCAmelCase      ).name      )      ) for x in single_urls]
												else:
																_lowerCAmelCase    :    Dict										=      single_urls
																_lowerCAmelCase    :    str										=      os.path.join(_UpperCAmelCase		,	urllib.parse.quote_plus(Path(_UpperCAmelCase      ).name      )      )
												_lowerCAmelCase    :    Tuple										=      value

								# make sure that values are unique
								if all(isinstance(_UpperCAmelCase		,	_UpperCAmelCase      ) 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
												_lowerCAmelCase    :    Optional[int]										=      {key: value + key for key, value in dummy_data_dict.items()}

								return dummy_data_dict



				def       SCREAMING_SNAKE_CASE       (      self      :		Tuple		,	_UpperCAmelCase      :		Any		,	_UpperCAmelCase      :		int      )  ->    List[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    Any										=      []
								# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
								_lowerCAmelCase    :    Tuple										=      all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""		,	_UpperCAmelCase      )      ) for url in data_url      )
								_lowerCAmelCase    :    Tuple										=      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):
												_lowerCAmelCase    :    str										=      [data_url[0]] * len(_UpperCAmelCase      )
								for single_url in data_url:
												for download_callback in self.download_callbacks:
																download_callback(_UpperCAmelCase      )
												# 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
												_lowerCAmelCase    :    Tuple										=      os.path.join(_UpperCAmelCase		,	urllib.parse.quote_plus(single_url.split("""/"""      )[-1]      )      )
												dummy_data_list.append(_UpperCAmelCase      )
								return dummy_data_list



				def       SCREAMING_SNAKE_CASE       (      self      :		Tuple		,	_UpperCAmelCase      :		int		,	_UpperCAmelCase      :		Union[str, Any]      )  ->    List[Any]:





								'''simple docstring'''




								for download_callback in self.download_callbacks:
												download_callback(_UpperCAmelCase      )
								# 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
								_lowerCAmelCase    :    Union[str, Any]										=      os.path.join(_UpperCAmelCase		,	urllib.parse.quote_plus(data_url.split("""/"""      )[-1]      )      )
								if os.path.exists(_UpperCAmelCase      ) 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       SCREAMING_SNAKE_CASE       (      self      :		List[str]      )  ->    Union[str, Any]:





								'''simple docstring'''




								pass



				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]      )  ->    Tuple:





								'''simple docstring'''




								pass



				def       SCREAMING_SNAKE_CASE       (      self      :		Any		,	_UpperCAmelCase      :		Optional[int]      )  ->    List[str]:





								'''simple docstring'''




								def _iter_archive_members(_UpperCAmelCase      :		Optional[int]      ):
												# this preserves the order of the members inside the ZIP archive
												_lowerCAmelCase    :    List[str]										=      Path(self.dummy_file      ).parent
												_lowerCAmelCase    :    Tuple										=      path.relative_to(_UpperCAmelCase      )
												with ZipFile(self.local_path_to_dummy_data      ) as zip_file:
																_lowerCAmelCase    :    str										=      zip_file.namelist()
												for member in members:
																if member.startswith(relative_path.as_posix()      ):
																				yield dummy_parent_path.joinpath(_UpperCAmelCase      )

								_lowerCAmelCase    :    int										=      Path(_UpperCAmelCase      )
								_lowerCAmelCase    :    str										=      _iter_archive_members(_UpperCAmelCase      ) 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(_UpperCAmelCase      ).as_posix(), file_path.open("""rb"""      )



				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]		,	_UpperCAmelCase      :		Dict      )  ->    Tuple:





								'''simple docstring'''




								if not isinstance(_UpperCAmelCase		,	_UpperCAmelCase      ):
												_lowerCAmelCase    :    str										=      [paths]
								for path in paths:
												if os.path.isfile(_UpperCAmelCase      ):
																if os.path.basename(_UpperCAmelCase      ).startswith((""".""", """__""")      ):
																				return
																yield path
												else:
																for dirpath, dirnames, filenames in os.walk(_UpperCAmelCase      ):
																				if os.path.basename(_UpperCAmelCase      ).startswith((""".""", """__""")      ):
																								continue
																				dirnames.sort()
																				for filename in sorted(_UpperCAmelCase      ):
																								if filename.startswith((""".""", """__""")      ):
																												continue
																								yield os.path.join(_UpperCAmelCase		,	_UpperCAmelCase      )







def 							_UpperCAmelCase  (UpperCamelCase_ : str      ,    UpperCamelCase_ : bool = False       ):
				'''simple docstring'''

				if not isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								_lowerCAmelCase    :    Tuple										=      F"Expected string as input, found {type(UpperCamelCase_       )}"
								raise ValueError(UpperCamelCase_       )
				if not isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								_lowerCAmelCase    :    Optional[Any]										=      F"Expected boolean as use_pascal parameter, found {type(UpperCamelCase_       )}"
								raise ValueError(UpperCamelCase_       )

				_lowerCAmelCase    :    Any										=      input_str.split("""_"""       )

				_lowerCAmelCase    :    str										=      0 if use_pascal else 1

				_lowerCAmelCase    :    Any										=      words[start_index:]

				_lowerCAmelCase    :    List[str]										=      [word[0].upper() + word[1:] for word in words_to_capitalize]

				_lowerCAmelCase    :    Any										=      """""" if use_pascal else words[0]

				return "".join([initial_word, *capitalized_words]       )


if __name__ == "__main__":
	from doctest import testmod

	testmod()

