



"""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


lowercase					=       get_logger(__name__)




class       lowercase__      :
							'''simple docstring'''







							_UpperCAmelCase   					=       '''dummy_data'''
							_UpperCAmelCase   					=       '''datasets'''
							_UpperCAmelCase   					=       False






							def __init__(	self						,							snake_case						,							snake_case						,							snake_case						,							snake_case = None						,							snake_case = False						,							snake_case = True						,							snake_case = None						,							)      ->				Union[str, Any]:
									_UpperCAmelCase							=		0
									_UpperCAmelCase							=		dataset_name
									_UpperCAmelCase							=		cache_dir
									_UpperCAmelCase							=		use_local_dummy_data
									_UpperCAmelCase							=		config
									# download_callbacks take a single url as input
									_UpperCAmelCase							=		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							=		load_existing_dummy_data

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






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


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






							@property
							def 							lowerCamelCase_ (	self    )      ->				Tuple:


									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    )      ->				Union[str, Any]:
									return os.path.join(self.dummy_data_folder						,							'dummy_data.zip'    )






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

									_UpperCAmelCase							=		cached_path(
									    _SCREAMING_SNAKE_CASE						,							cache_dir=self.cache_dir						,							extract_compressed_file=_SCREAMING_SNAKE_CASE						,							force_extract=_SCREAMING_SNAKE_CASE    )

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






							@property
							def 							lowerCamelCase_ (	self    )      ->				Optional[int]:
									return os.path.join(self.datasets_scripts_dir						,							self.dataset_name						,							self.dummy_zip_file    )






							@property
							def 							lowerCamelCase_ (	self    )      ->				Tuple:


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






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


									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						,							snake_case						,							*snake_case    )      ->				Any:


									if self.load_existing_dummy_data:
											# dummy data is downloaded and tested
											_UpperCAmelCase							=		self.dummy_file
									else:
											# dummy data cannot be downloaded and only the path to dummy file is returned
											_UpperCAmelCase							=		self.dummy_file_name

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






							def 							lowerCamelCase_ (	self						,							snake_case						,							*snake_case    )      ->				Dict:
									return self.download_and_extract(_SCREAMING_SNAKE_CASE    )






							def 							lowerCamelCase_ (	self						,							snake_case						,							snake_case    )      ->				Dict:
									return self.download_and_extract(_SCREAMING_SNAKE_CASE    )






							def 							lowerCamelCase_ (	self						,							snake_case						,							*snake_case						,							**snake_case    )      ->				Dict:
									return path






							def 							lowerCamelCase_ (	self    )      ->				Optional[int]:
									return {}






							def 							lowerCamelCase_ (	self						,							snake_case						,							snake_case    )      ->				Tuple:
									_UpperCAmelCase							=		{}
									for key, single_urls in data_url.items():
											for download_callback in self.download_callbacks:
													if isinstance(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE    ):
															for single_url in single_urls:
																	download_callback(_SCREAMING_SNAKE_CASE    )
													else:
															_UpperCAmelCase							=		single_urls
															download_callback(_SCREAMING_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(_SCREAMING_SNAKE_CASE						,							_SCREAMING_SNAKE_CASE    ):
													_UpperCAmelCase							=		[os.path.join(_SCREAMING_SNAKE_CASE						,							urllib.parse.quote_plus(Path(_SCREAMING_SNAKE_CASE    ).name    )    ) for x in single_urls]
											else:
													_UpperCAmelCase							=		single_urls
													_UpperCAmelCase							=		os.path.join(_SCREAMING_SNAKE_CASE						,							urllib.parse.quote_plus(Path(_SCREAMING_SNAKE_CASE    ).name    )    )
											_UpperCAmelCase							=		value

									# make sure that values are unique
									if all(isinstance(_SCREAMING_SNAKE_CASE						,							_SCREAMING_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							=		{key: value + key for key, value in dummy_data_dict.items()}

									return dummy_data_dict






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






							def 							lowerCamelCase_ (	self						,							snake_case						,							snake_case    )      ->				Any:


									for download_callback in self.download_callbacks:
											download_callback(_SCREAMING_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							=		os.path.join(_SCREAMING_SNAKE_CASE						,							urllib.parse.quote_plus(data_url.split('/'    )[-1]    )    )
									if os.path.exists(_SCREAMING_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    )      ->				Union[str, Any]:
									pass






							def 							lowerCamelCase_ (	self    )      ->				List[str]:
									pass






							def 							lowerCamelCase_ (	self						,							snake_case    )      ->				Union[str, Any]:


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

									_UpperCAmelCase							=		Path(_SCREAMING_SNAKE_CASE    )
									_UpperCAmelCase							=		_iter_archive_members(_SCREAMING_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(_SCREAMING_SNAKE_CASE    ).as_posix(), file_path.open('rb'    )






							def 							lowerCamelCase_ (	self						,							snake_case    )      ->				Tuple:


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







"""simple docstring"""

import argparse
import json

from tqdm import tqdm
def  __snake_case							(	)     ->       Any:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							str							=     argparse.ArgumentParser()

				# Required parameters
				parser.add_argument(
				    '--src_path'							,		type=__A							,		default='biencoder-nq-dev.json'							,		help='Path to raw DPR training data'							,		)
				parser.add_argument(
				    '--evaluation_set'							,		type=__A							,		help='where to store parsed evaluation_set file'							,		)
				parser.add_argument(
				    '--gold_data_path'							,		type=__A							,		help='where to store parsed gold_data_path file'							,		)
				SCREAMING_SNAKE_CASE						:							Tuple							=     parser.parse_args()

				with open(args.src_path							,		'r'     ) as src_file, open(args.evaluation_set							,		'w'     ) as eval_file, open(
				    args.gold_data_path							,		'w'     ) as gold_file:
								SCREAMING_SNAKE_CASE						:							Tuple							=     json.load(__A     )
								for dpr_record in tqdm(__A     ):
												SCREAMING_SNAKE_CASE						:							Tuple							=     dpr_record['question']
												SCREAMING_SNAKE_CASE						:							Optional[int]							=     [context['title'] for context in dpr_record['positive_ctxs']]
												eval_file.write(question + '\n'     )
												gold_file.write('\t'.join(__A     ) + '\n'     )


if __name__ == "__main__":
							main()





