'''simple docstring'''


import multiprocessing
import os
from typing import BinaryIO, Optional, Union

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.csv.csv import Csv
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader






class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  def __init__(					self ,						snake_case_ ,						snake_case_ = None ,						snake_case_ = None ,						snake_case_ = None ,						snake_case_ = False ,						snake_case_ = False ,						snake_case_ = None ,						**snake_case_ ,						):




       '''simple docstring'''

       super().__init__(
           snake_case_ ,						split=snake_case_ ,						features=snake_case_ ,						cache_dir=snake_case_ ,						keep_in_memory=snake_case_ ,						streaming=snake_case_ ,						num_proc=snake_case_ ,						**snake_case_ ,						)
       UpperCAmelCase_				:  Union[str, Any]  = path_or_paths if isinstance(snake_case_ ,						snake_case_		) else {self.split: path_or_paths}
       UpperCAmelCase_				:  List[Any]  = Csv(
           cache_dir=snake_case_ ,						data_files=snake_case_ ,						features=snake_case_ ,						**snake_case_ ,						)






  def _UpperCamelCase	(					self		):




       '''simple docstring'''

       if self.streaming:
            UpperCAmelCase_				:  int  = self.builder.as_streaming_dataset(split=self.split		)
       # Build regular (map-style) dataset
       else:
            UpperCAmelCase_				:  Optional[Any]  = None
            UpperCAmelCase_				:  int  = None
            UpperCAmelCase_				:  List[str]  = None
            UpperCAmelCase_				:  Tuple  = None

            self.builder.download_and_prepare(
                download_config=snake_case_ ,						download_mode=snake_case_ ,						verification_mode=snake_case_ ,						base_path=snake_case_ ,						num_proc=self.num_proc ,						)
            UpperCAmelCase_				:  Optional[Any]  = self.builder.as_dataset(
                split=self.split ,						verification_mode=snake_case_ ,						in_memory=self.keep_in_memory		)
       return dataset







class 	__SCREAMING_SNAKE_CASE		:







  '''simple docstring'''






  def __init__(					self ,						snake_case_ ,						snake_case_ ,						snake_case_ = None ,						snake_case_ = None ,						**snake_case_ ,						):




       '''simple docstring'''

       if num_proc is not None and num_proc <= 0:
            raise ValueError(F'''num_proc {num_proc} must be an integer > 0.'''		)

       UpperCAmelCase_				:  Optional[int]  = dataset
       UpperCAmelCase_				:  Optional[int]  = path_or_buf
       UpperCAmelCase_				:  Any  = batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
       UpperCAmelCase_				:  int  = num_proc
       UpperCAmelCase_				:  Dict  = 'utf-8'
       UpperCAmelCase_				:  Tuple  = to_csv_kwargs


  def _UpperCamelCase	(					self		):




       '''simple docstring'''

       UpperCAmelCase_				:  Optional[Any]  = self.to_csv_kwargs.pop('path_or_buf' ,						snake_case_		)
       UpperCAmelCase_				:  str  = self.to_csv_kwargs.pop('header' ,						snake_case_		)
       UpperCAmelCase_				:  Tuple  = self.to_csv_kwargs.pop('index' ,						snake_case_		)

       if isinstance(self.path_or_buf ,						(str, bytes, os.PathLike)		):
            with open(self.path_or_buf ,						'wb+'		) as buffer:
                 UpperCAmelCase_				:  Optional[int]  = self._write(file_obj=snake_case_ ,						header=snake_case_ ,						index=snake_case_ ,						**self.to_csv_kwargs		)
       else:
            UpperCAmelCase_				:  Union[str, Any]  = self._write(file_obj=self.path_or_buf ,						header=snake_case_ ,						index=snake_case_ ,						**self.to_csv_kwargs		)
       return written


  def _UpperCamelCase	(					self ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_  ,     UpperCAmelCase_  ,     UpperCAmelCase_  ,     UpperCAmelCase_				:  List[Any]  = args

       UpperCAmelCase_				:  List[Any]  = query_table(
           table=self.dataset.data ,						key=slice(snake_case_ ,						offset + self.batch_size		) ,						indices=self.dataset._indices ,						)
       UpperCAmelCase_				:  Dict  = batch.to_pandas().to_csv(
           path_or_buf=snake_case_ ,						header=header if (offset == 0) else False ,						index=snake_case_ ,						**snake_case_		)
       return csv_str.encode(self.encoding		)






  def _UpperCamelCase	(					self ,						snake_case_ ,						snake_case_ ,						snake_case_ ,						**snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  int  = 0

       if self.num_proc is None or self.num_proc == 1:
            for offset in logging.tqdm(
                range(0 ,						len(self.dataset		) ,						self.batch_size		) ,						unit='ba' ,						disable=not logging.is_progress_bar_enabled() ,						desc='Creating CSV from Arrow format' ,						):
                 UpperCAmelCase_				:  Any  = self._batch_csv((offset, header, index, to_csv_kwargs)		)
                 written += file_obj.write(snake_case_		)

       else:
            UpperCAmelCase_  ,     UpperCAmelCase_				:  List[Any]  = len(self.dataset		), self.batch_size
            with multiprocessing.Pool(self.num_proc		) as pool:
                 for csv_str in logging.tqdm(
                     pool.imap(
                         self._batch_csv ,						[(offset, header, index, to_csv_kwargs) for offset in range(0 ,						snake_case_ ,						snake_case_		)] ,						) ,						total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size ,						unit='ba' ,						disable=not logging.is_progress_bar_enabled() ,						desc='Creating CSV from Arrow format' ,						):
                      written += file_obj.write(snake_case_		)

       return written










"""simple docstring"""






import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info



def 			A__		(					_UpperCAmelCase    :      Optional[int]	)							->	Tuple:

	'''simple docstring'''


	class 			SCREAMING_SNAKE_CASE_  :




								'''simple docstring'''





								def __init__(						self	,					lowerCamelCase__)   ->	None:







									'''simple docstring'''




									assert isinstance(lowerCamelCase__	,					(bytes, str))
									snake_case__  :						int		=      content







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







									'''simple docstring'''




									return json.loads(self.content)

	def mock_response(*_UpperCAmelCase    :      str				,    **_UpperCAmelCase    :      Optional[int]	):
		assert args[0] == AUTHENTICATED_USER_ENDPOINT
		assert "Authorization" in kwargs["headers"]
		assert kwargs["headers"]["Authorization"].startswith("token "	)
		assert "Accept" in kwargs["headers"]
		return FakeResponse(b"{\"login\":\"test\",\"id\":1}"	)

	monkeypatch.setattr(_UpperCAmelCase				,    "get"				,    _UpperCAmelCase	)
	snake_case__  :						str		=      fetch_github_info("token"	)
	assert result["login"] == "test"
	assert result["id"] == 1





