

"""simple docstring"""




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


A_							:			Dict											= get_logger(__name__)





class    lowerCamelCase						:
			lowerCamelCase__   :		Tuple							=							'dummy_data'
			lowerCamelCase__   :		Dict							=							'datasets'
			lowerCamelCase__   :		int							=							False

			def __init__(					self				:						List[str]    ,				__UpperCAmelCase				:						str    ,				__UpperCAmelCase				:						str    ,				__UpperCAmelCase				:						Union[Version, str]    ,				__UpperCAmelCase				:						Optional[str] = None    ,				__UpperCAmelCase				:						bool = False    ,				__UpperCAmelCase				:						bool = True    ,				__UpperCAmelCase				:						Optional[List[Callable]] = None    ,				)   ->    Tuple:
						SCREAMING_SNAKE_CASE__								=      0
						SCREAMING_SNAKE_CASE__								=      dataset_name
						SCREAMING_SNAKE_CASE__								=      cache_dir
						SCREAMING_SNAKE_CASE__								=      use_local_dummy_data
						SCREAMING_SNAKE_CASE__								=      config
						# download_callbacks take a single url as input
						SCREAMING_SNAKE_CASE__								=      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
						SCREAMING_SNAKE_CASE__								=      load_existing_dummy_data

						# TODO(PVP, QL) might need to make this more general
						SCREAMING_SNAKE_CASE__								=      str(__UpperCAmelCase       )
						# to be downloaded
						SCREAMING_SNAKE_CASE__								=      None
						SCREAMING_SNAKE_CASE__								=      None

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

						if self._dummy_file is None:
									SCREAMING_SNAKE_CASE__								=      self.download_dummy_data()
						return self._dummy_file

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

						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]       )   ->    List[str]:
						return os.path.join(self.dummy_data_folder    ,				"""dummy_data.zip"""       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[Any]       )   ->    List[Any]:
						SCREAMING_SNAKE_CASE__								=      (
						    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
						)

						SCREAMING_SNAKE_CASE__								=      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				:						int       )   ->    Optional[int]:
						return os.path.join(self.datasets_scripts_dir    ,				self.dataset_name    ,				self.dummy_zip_file       )

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

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

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

						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				:						Union[str, Any]    ,				__UpperCAmelCase				:						Dict    ,				*__UpperCAmelCase				:						Any       )   ->    Tuple:

						if self.load_existing_dummy_data:
									# dummy data is downloaded and tested
									SCREAMING_SNAKE_CASE__								=      self.dummy_file
						else:
									# dummy data cannot be downloaded and only the path to dummy file is returned
									SCREAMING_SNAKE_CASE__								=      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				:						Any    ,				__UpperCAmelCase				:						str    ,				*__UpperCAmelCase				:						Any       )   ->    Dict:
						return self.download_and_extract(__UpperCAmelCase       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						Tuple    ,				__UpperCAmelCase				:						Union[str, Any]    ,				__UpperCAmelCase				:						Optional[Any]       )   ->    Optional[Any]:
						return self.download_and_extract(__UpperCAmelCase       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						Dict    ,				__UpperCAmelCase				:						Union[str, Any]    ,				*__UpperCAmelCase				:						Optional[int]    ,				**__UpperCAmelCase				:						Any       )   ->    Union[str, Any]:
						return path

			def 					SCREAMING_SNAKE_CASE				(					self				:						int       )   ->    str:
						return {}

			def 					SCREAMING_SNAKE_CASE				(					self				:						str    ,				__UpperCAmelCase				:						Optional[int]    ,				__UpperCAmelCase				:						List[Any]       )   ->    List[str]:
						SCREAMING_SNAKE_CASE__								=      {}
						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:
															SCREAMING_SNAKE_CASE__								=      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       ):
												SCREAMING_SNAKE_CASE__								=      [os.path.join(__UpperCAmelCase    ,				urllib.parse.quote_plus(Path(__UpperCAmelCase       ).name       )       ) for x in single_urls]
									else:
												SCREAMING_SNAKE_CASE__								=      single_urls
												SCREAMING_SNAKE_CASE__								=      os.path.join(__UpperCAmelCase    ,				urllib.parse.quote_plus(Path(__UpperCAmelCase       ).name       )       )
									SCREAMING_SNAKE_CASE__								=      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
									SCREAMING_SNAKE_CASE__								=      {key: value + key for key, value in dummy_data_dict.items()}

						return dummy_data_dict

			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[Any]    ,				__UpperCAmelCase				:						Any    ,				__UpperCAmelCase				:						Union[str, Any]       )   ->    Tuple:
						SCREAMING_SNAKE_CASE__								=      []
						# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
						SCREAMING_SNAKE_CASE__								=      all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""    ,				__UpperCAmelCase       )       ) for url in data_url       )
						SCREAMING_SNAKE_CASE__								=      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):
									SCREAMING_SNAKE_CASE__								=      [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
									SCREAMING_SNAKE_CASE__								=      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				:						str    ,				__UpperCAmelCase				:						Union[str, Any]    ,				__UpperCAmelCase				:						List[Any]       )   ->    Any:

						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
						SCREAMING_SNAKE_CASE__								=      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				:						int       )   ->    Dict:
						pass

			def 					SCREAMING_SNAKE_CASE				(					self				:						Union[str, Any]       )   ->    List[str]:
						pass

			def 					SCREAMING_SNAKE_CASE				(					self				:						int    ,				__UpperCAmelCase				:						Tuple       )   ->    Optional[int]:

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

						SCREAMING_SNAKE_CASE__								=      Path(__UpperCAmelCase       )
						SCREAMING_SNAKE_CASE__								=      _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				:						Optional[int]    ,				__UpperCAmelCase				:						Union[str, Any]       )   ->    List[Any]:

						if not isinstance(__UpperCAmelCase    ,				__UpperCAmelCase       ):
									SCREAMING_SNAKE_CASE__								=      [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       )





"""simple docstring"""




from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments


