
# 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


SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				get_logger(__name__)





class 							UpperCAmelCase      :




	'''simple docstring'''





	snake_case_					    =     "dummy_data"
	snake_case_					    =     "datasets"
	snake_case_					    =     False






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

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






	@property
	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					if self._dummy_file is None:
									__A   			= self.download_dummy_data()
					return self._dummy_file






	@property
	def 				UpperCamelCase_  (       self					: Optional[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 				UpperCamelCase_  (       self					: List[Any] ):
					return os.path.join(self.dummy_data_folder							,"dummy_data.zip" )






	def 				UpperCamelCase_  (       self					: Tuple ):
					__A   			= (
					    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
					)

					__A   			= cached_path(
					    A							,cache_dir=self.cache_dir							,extract_compressed_file=A							,force_extract=A )

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






	@property
	def 				UpperCamelCase_  (       self					: str ):
					return os.path.join(self.datasets_scripts_dir							,self.dataset_name							,self.dummy_zip_file )






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






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

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






	def 				UpperCamelCase_  (       self					: str							,A					: List[Any]							,*A					: List[Any] ):
					return self.download_and_extract(A )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: List[str]							,A					: Tuple ):
					return self.download_and_extract(A )






	def 				UpperCamelCase_  (       self					: Any							,A					: Any							,*A					: Optional[Any]							,**A					: List[str] ):
					return path






	def 				UpperCamelCase_  (       self					: str ):
					return {}






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

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

					return dummy_data_dict






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






	def 				UpperCamelCase_  (       self					: str							,A					: List[Any]							,A					: Optional[Any] ):
					for download_callback in self.download_callbacks:
									download_callback(A )
					# 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
					__A   			= os.path.join(A							,urllib.parse.quote_plus(data_url.split("/" )[-1] ) )
					if os.path.exists(A ) 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 				UpperCamelCase_  (       self					: int ):
					pass






	def 				UpperCamelCase_  (       self					: Dict ):
					pass






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

					__A   			= Path(A )
					__A   			= _iter_archive_members(A ) 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(A ).as_posix(), file_path.open("rb" )







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


import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


SCREAMING_SNAKE_CASE							:Optional[int]							 =				NewType('DataClass', Any)
SCREAMING_SNAKE_CASE							:int							 =				NewType('DataClassType', Any)


def 						UpperCAmelCase			(	a_						)		->	Optional[int]:







				"""simple docstring"""



				if isinstance(a_		,   a_						):
								return v
				if v.lower() in ("yes", "true", "t", "y", "1"):
								return True
				elif v.lower() in ("no", "false", "f", "n", "0"):
								return False
				else:
								raise ArgumentTypeError(
								    F'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'''						)


def 						UpperCAmelCase			(	a_						)		->	Callable[[str], Any]:







				"""simple docstring"""



				__A   			= {str(a_						): choice for choice in choices}
				return lambda a_						: str_to_choice.get(a_		,   a_						)


def 						UpperCAmelCase			(	*,
    a_ = None		,   a_ = None		,   a_ = dataclasses.MISSING		,   a_ = dataclasses.MISSING		,   a_ = None		,   **a_		,   )		->	dataclasses.Field:







				"""simple docstring"""



				if metadata is None:
								# Important, don't use as default param in function signature because dict is mutable and shared across function calls
								__A   			= {}
				if aliases is not None:
								__A   			= aliases
				if help is not None:
								__A   			= help

				return dataclasses.field(metadata=a_		,   default=a_		,   default_factory=a_		,   **a_						)





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     42






	def __init__(       self					: Union[str, Any]							,A					: Union[DataClassType, Iterable[DataClassType]]							,**A					: List[Any] ):
					# To make the default appear when using --help
					if "formatter_class" not in kwargs:
									__A   			= ArgumentDefaultsHelpFormatter
					super().__init__(**A )
					if dataclasses.is_dataclass(A ):
									__A   			= [dataclass_types]
					__A   			= list(A )
					for dtype in self.dataclass_types:
									self._add_dataclass_arguments(A )






	@staticmethod
	def 				UpperCamelCase_  (       A					: ArgumentParser							,A					: dataclasses.Field ):
					__A   			= f'''--{field.name}'''
					__A   			= field.metadata.copy()
					# field.metadata is not used at all by Data Classes,
					# it is provided as a third-party extension mechanism.
					if isinstance(field.type							,A ):
									raise RuntimeError(
									    "Unresolved type detected, which should have been done with the help of "
									    "`typing.get_type_hints` method by default" )

					__A   			= kwargs.pop("aliases"							,[] )
					if isinstance(A							,A ):
									__A   			= [aliases]

					__A   			= getattr(field.type							,"__origin__"							,field.type )
					if origin_type is Union or (hasattr(A							,"UnionType" ) and isinstance(A							,types.UnionType )):
									if str not in field.type.__args__ and (
									    len(field.type.__args__ ) != 2 or type(A ) not in field.type.__args__
									):
													raise ValueError(
													    "Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"
													    " the argument parser only supports one type per argument."
													    f''' Problem encountered in field \'{field.name}\'.''' )
									if type(A ) not in field.type.__args__:
													# filter `str` in Union
													__A   			= field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
													__A   			= getattr(field.type							,"__origin__"							,field.type )
									elif bool not in field.type.__args__:
													# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
													__A   			= (
													    field.type.__args__[0] if isinstance(A							,field.type.__args__[1] ) else field.type.__args__[1]
													)
													__A   			= getattr(field.type							,"__origin__"							,field.type )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
					__A   			= {}
					if origin_type is Literal or (isinstance(field.type							,A ) and issubclass(field.type							,A )):
									if origin_type is Literal:
													__A   			= field.type.__args__
									else:
													__A   			= [x.value for x in field.type]

									__A   			= make_choice_type_function(kwargs["choices"] )

									if field.default is not dataclasses.MISSING:
													__A   			= field.default
									else:
													__A   			= True
					elif field.type is bool or field.type == Optional[bool]:
									# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
									# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
									__A   			= copy(A )

									# Hack because type=bool in argparse does not behave as we want.
									__A   			= string_to_bool
									if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
													# Default value is False if we have no default when of type bool.
													__A   			= False if field.default is dataclasses.MISSING else field.default
													# This is the value that will get picked if we don't include --field_name in any way
													__A   			= default
													# This tells argparse we accept 0 or 1 value after --field_name
													__A   			= "?"
													# This is the value that will get picked if we do --field_name (without value)
													__A   			= True
					elif isclass(A ) and issubclass(A							,A ):
									__A   			= field.type.__args__[0]
									__A   			= "+"
									if field.default_factory is not dataclasses.MISSING:
													__A   			= field.default_factory()
									elif field.default is dataclasses.MISSING:
													__A   			= True
					else:
									__A   			= field.type
									if field.default is not dataclasses.MISSING:
													__A   			= field.default
									elif field.default_factory is not dataclasses.MISSING:
													__A   			= field.default_factory()
									else:
													__A   			= True
					parser.add_argument(A							,*A							,**A )

					# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
					# Order is important for arguments with the same destination!
					# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
					# here and we do not need those changes/additional keys.
					if field.default is True and (field.type is bool or field.type == Optional[bool]):
									__A   			= False
									parser.add_argument(f'''--no_{field.name}'''							,action="store_false"							,dest=field.name							,**A )






	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: DataClassType ):
					if hasattr(A							,"_argument_group_name" ):
									__A   			= self.add_argument_group(dtype._argument_group_name )
					else:
									__A   			= self

					try:
									__A   			= get_type_hints(A )
					except NameError:
									raise RuntimeError(
									    f'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
									    "removing line of `from __future__ import annotations` which opts in Postponed "
									    "Evaluation of Annotations (PEP 563)" )
					except TypeError as ex:
									# Remove this block when we drop Python 3.9 support
									if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(A ):
													__A   			= ".".join(map(A							,sys.version_info[:3] ) )
													raise RuntimeError(
													    f'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
													    "line of `from __future__ import annotations` which opts in union types as "
													    "`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To "
													    "support Python versions that lower than 3.10, you need to use "
													    "`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of "
													    "`X | None`." ) from ex
									raise

					for field in dataclasses.fields(A ):
									if not field.init:
													continue
									__A   			= type_hints[field.name]
									self._parse_dataclass_field(A							,A )






	def 				UpperCamelCase_  (       self					: Union[str, Any]							,A					: List[Any]=None							,A					: List[Any]=False							,A					: Optional[Any]=True							,A					: Union[str, Any]=None							,A					: Union[str, Any]=None							,):

					if args_file_flag or args_filename or (look_for_args_file and len(sys.argv )):
									__A   			= []

									if args_filename:
													args_files.append(Path(A ) )
									elif look_for_args_file and len(sys.argv ):
													args_files.append(Path(sys.argv[0] ).with_suffix(".args" ) )

									# args files specified via command line flag should overwrite default args files so we add them last
									if args_file_flag:
													# Create special parser just to extract the args_file_flag values
													__A   			= ArgumentParser()
													args_file_parser.add_argument(A							,type=A							,action="append" )

													# Use only remaining args for further parsing (remove the args_file_flag)
													__A			,							__A   			= args_file_parser.parse_known_args(args=A )
													__A   			= vars(A ).get(args_file_flag.lstrip("-" )							,A )

													if cmd_args_file_paths:
																	args_files.extend([Path(A ) for p in cmd_args_file_paths] )

									__A   			= []
									for args_file in args_files:
													if args_file.exists():
																	file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
									__A   			= file_args + args if args is not None else file_args + sys.argv[1:]
					__A			,							__A   			= self.parse_known_args(args=A )
					__A   			= []
					for dtype in self.dataclass_types:
									__A   			= {f.name for f in dataclasses.fields(A ) if f.init}
									__A   			= {k: v for k, v in vars(A ).items() if k in keys}
									for k in keys:
													delattr(A							,A )
									__A   			= dtype(**A )
									outputs.append(A )
					if len(namespace.__dict__ ) > 0:
									# additional namespace.
									outputs.append(A )
					if return_remaining_strings:
									return (*outputs, remaining_args)
					else:
									if remaining_args:
													raise ValueError(f'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}''' )

									return (*outputs,)






	def 				UpperCamelCase_  (       self					: Dict							,A					: Dict[str, Any]							,A					: bool = False ):
					__A   			= set(args.keys() )
					__A   			= []
					for dtype in self.dataclass_types:
									__A   			= {f.name for f in dataclasses.fields(A ) if f.init}
									__A   			= {k: v for k, v in args.items() if k in keys}
									unused_keys.difference_update(inputs.keys() )
									__A   			= dtype(**A )
									outputs.append(A )
					if not allow_extra_keys and unused_keys:
									raise ValueError(f'''Some keys are not used by the HfArgumentParser: {sorted(A )}''' )
					return tuple(A )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: str							,A					: bool = False ):
					with open(Path(A )							,encoding="utf-8" ) as open_json_file:
									__A   			= json.loads(open_json_file.read() )
					__A   			= self.parse_dict(A							,allow_extra_keys=A )
					return tuple(A )







	def 				UpperCamelCase_  (       self					: int							,A					: str							,A					: bool = False ):
					__A   			= self.parse_dict(yaml.safe_load(Path(A ).read_text() )							,allow_extra_keys=A )
					return tuple(A )
