

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 		__magic_name__     (				__a				):

   '''simple docstring'''




   def __init__(							self,       lowercase_,       lowercase_ = None,       lowercase_ = None,       lowercase_ = None,       lowercase_ = False,       lowercase_ = False,       lowercase_ = None,       **lowercase_,       )				->       Union[str, Any]:






     """simple docstring"""






     super().__init__(
         UpperCamelCase__,       split=UpperCamelCase__,       features=UpperCamelCase__,       cache_dir=UpperCamelCase__,       keep_in_memory=UpperCamelCase__,       streaming=UpperCamelCase__,       num_proc=UpperCamelCase__,       **UpperCamelCase__,       )
     a__    =path_or_paths if isinstance(UpperCamelCase__,       UpperCamelCase__			) else {self.split: path_or_paths}
     a__    =Csv(
         cache_dir=UpperCamelCase__,       data_files=UpperCamelCase__,       features=UpperCamelCase__,       **UpperCamelCase__,       )



   def 					_UpperCAmelCase					(							self			)				->       int:






     """simple docstring"""






     if self.streaming:
       a__    =self.builder.as_streaming_dataset(split=self.split			)
     # Build regular (map-style) dataset
     else:
       a__    =None
       a__    =None
       a__    =None
       a__    =None

       self.builder.download_and_prepare(
           download_config=UpperCamelCase__,       download_mode=UpperCamelCase__,       verification_mode=UpperCamelCase__,       base_path=UpperCamelCase__,       num_proc=self.num_proc,       )
       a__    =self.builder.as_dataset(
           split=self.split,       verification_mode=UpperCamelCase__,       in_memory=self.keep_in_memory			)
     return dataset







class 		__magic_name__     :

   '''simple docstring'''




   def __init__(							self,       lowercase_,       lowercase_,       lowercase_ = None,       lowercase_ = None,       **lowercase_,       )				->       List[Any]:






     """simple docstring"""






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

     a__    =dataset
     a__    =path_or_buf
     a__    =batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
     a__    =num_proc
     a__    ='''utf-8'''
     a__    =to_csv_kwargs



   def 					_UpperCAmelCase					(							self			)				->       int:






     """simple docstring"""






     a__    =self.to_csv_kwargs.pop('''path_or_buf''',       UpperCamelCase__			)
     a__    =self.to_csv_kwargs.pop('''header''',       UpperCamelCase__			)
     a__    =self.to_csv_kwargs.pop('''index''',       UpperCamelCase__			)

     if isinstance(self.path_or_buf,       (str, bytes, os.PathLike)			):
       with open(self.path_or_buf,       '''wb+'''			) as buffer:
         a__    =self._write(file_obj=UpperCamelCase__,       header=UpperCamelCase__,       index=UpperCamelCase__,       **self.to_csv_kwargs			)
     else:
       a__    =self._write(file_obj=self.path_or_buf,       header=UpperCamelCase__,       index=UpperCamelCase__,       **self.to_csv_kwargs			)
     return written



   def 					_UpperCAmelCase					(							self,       lowercase_			)				->       Optional[Any]:






     """simple docstring"""






     a__, a__, a__, a__    =args

     a__    =query_table(
         table=self.dataset.data,       key=slice(UpperCamelCase__,       offset + self.batch_size			),       indices=self.dataset._indices,       )
     a__    =batch.to_pandas().to_csv(
         path_or_buf=UpperCamelCase__,       header=header if (offset == 0) else False,       index=UpperCamelCase__,       **UpperCamelCase__			)
     return csv_str.encode(self.encoding			)



   def 					_UpperCAmelCase					(							self,       lowercase_,       lowercase_,       lowercase_,       **lowercase_			)				->       int:






     """simple docstring"""






     a__    =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''',       ):
         a__    =self._batch_csv((offset, header, index, to_csv_kwargs)			)
         written += file_obj.write(UpperCamelCase__			)

     else:
       a__, a__    =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,       UpperCamelCase__,       UpperCamelCase__			)],       ),       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(UpperCamelCase__			)

     return written

"""simple docstring"""

import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info


def    lowerCAmelCase			(__UpperCamelCase							:    Optional[Any]			):
							"""simple docstring"""


							class 		_lowercase :



													"""simple docstring"""




													def __init__(				self							:    int     , UpperCamelCase__							:    Union[str, Any]				)				->				None:
																				'''simple docstring'''



																				assert isinstance(UpperCamelCase__     , (bytes, str)				)
																				__UpperCamelCase							=content





													def   UpperCAmelCase_ (				self							:    Dict				)				->				Any:
																				'''simple docstring'''



																				return json.loads(self.content				)

							def mock_response(*__UpperCamelCase							:    Any							,					**__UpperCamelCase							:    Union[str, Any]			):
														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			)
							__UpperCamelCase							=fetch_github_info('''token'''			)
							assert result["login"] == "test"
							assert result["id"] == 1



