



'''simple docstring'''

import itertools
from dataclasses import dataclass
from io import StringIO
from typing import Optional

import pyarrow as pa

import datasets
from datasets.features.features import require_storage_cast
from datasets.table import table_cast


__lowerCAmelCase		    =     datasets.utils.logging.get_logger(__name__)

@dataclass
class 			__magic_name__		(					datasets.BuilderConfig     ):
							lowerCAmelCase :					Optional[datasets.Features]            =      None
							lowerCAmelCase :					str            =      "utf-8"
							lowerCAmelCase :					Optional[str]            =      None
							lowerCAmelCase :					int            =      1_0 << 2_0  # 10MB
							lowerCAmelCase :					bool            =      False
							lowerCAmelCase :					str            =      "line"

class 			__magic_name__		(					datasets.ArrowBasedBuilder     ):
							lowerCAmelCase :					List[Any]            =      TextConfig







							def 							__lowercase    (							self      : Tuple	):
									return datasets.DatasetInfo(features=self.config.features	)







							def 							__lowercase    (							self      : Optional[int]			,_UpperCAmelCase      : List[Any]	):
									if not self.config.data_files:
											raise ValueError(F"""At least one data file must be specified, but got data_files={self.config.data_files}"""	)
									_a  :   Union[str, Any]				 =							dl_manager.download_and_extract(self.config.data_files	)
									if isinstance(_UpperCAmelCase			,(str, list, tuple)	):
											_a  :   Union[str, Any]				 =							data_files
											if isinstance(_UpperCAmelCase			,_UpperCAmelCase	):
													_a  :   Any				 =							[files]
											_a  :   Optional[Any]				 =							[dl_manager.iter_files(_UpperCAmelCase	) for file in files]
											return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,gen_kwargs={'files': files}	)]
									_a  :   Union[str, Any]				 =							[]
									for split_name, files in data_files.items():
											if isinstance(_UpperCAmelCase			,_UpperCAmelCase	):
													_a  :   List[Any]				 =							[files]
											_a  :   Any				 =							[dl_manager.iter_files(_UpperCAmelCase	) for file in files]
											splits.append(datasets.SplitGenerator(name=_UpperCAmelCase			,gen_kwargs={'files': files}	)	)
									return splits







							def 							__lowercase    (							self      : int			,_UpperCAmelCase      : pa.Table	):
									if self.config.features is not None:
											_a  :   Union[str, Any]				 =							self.config.features.arrow_schema
											if all(not require_storage_cast(_UpperCAmelCase	) for feature in self.config.features.values()	):
													# cheaper cast
													_a  :   Dict				 =							pa_table.cast(_UpperCAmelCase	)
											else:
													# more expensive cast; allows str <-> int/float or str to Audio for example
													_a  :   Tuple				 =							table_cast(_UpperCAmelCase			,_UpperCAmelCase	)
											return pa_table
									else:
											return pa_table.cast(pa.schema({'text': pa.string()}	)	)







							def 							__lowercase    (							self      : List[Any]			,_UpperCAmelCase      : int	):
									_a  :   Any				 =							list(self.config.features	) if self.config.features is not None else ['text']
									for file_idx, file in enumerate(itertools.chain.from_iterable(_UpperCAmelCase	)	):
											# open in text mode, by default translates universal newlines ("\n", "\r\n" and "\r") into "\n"
											with open(_UpperCAmelCase			,encoding=self.config.encoding			,errors=self.config.errors	) as f:
													if self.config.sample_by == "line":
															_a  :   Optional[Any]				 =							0
															while True:
																	_a  :   str				 =							f.read(self.config.chunksize	)
																	if not batch:
																			break
																	batch += f.readline()  # finish current line
																	# StringIO.readlines, by default splits only on "\n" (and keeps line breaks)
																	_a  :   int				 =							StringIO(_UpperCAmelCase	).readlines()
																	if not self.config.keep_linebreaks:
																			_a  :   List[Any]				 =							[line.rstrip('\n'	) for line in batch]
																	_a  :   List[str]				 =							pa.Table.from_arrays([pa.array(_UpperCAmelCase	)]			,names=_UpperCAmelCase	)
																	# Uncomment for debugging (will print the Arrow table size and elements)
																	# logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
																	# logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
																	yield (file_idx, batch_idx), self._cast_table(_UpperCAmelCase	)
																	batch_idx += 1
													elif self.config.sample_by == "paragraph":
															_a  :   str				 =							0
															_a  :   Tuple				 =							''
															while True:
																	_a  :   Optional[int]				 =							f.read(self.config.chunksize	)
																	if not new_batch:
																			break
																	batch += new_batch
																	batch += f.readline()  # finish current line
																	_a  :   str				 =							batch.split('\n\n'	)
																	_a  :   str				 =							pa.Table.from_arrays(
																	    [pa.array([example for example in batch[:-1] if example]	)]			,names=_UpperCAmelCase	)
																	# Uncomment for debugging (will print the Arrow table size and elements)
																	# logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
																	# logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
																	yield (file_idx, batch_idx), self._cast_table(_UpperCAmelCase	)
																	batch_idx += 1
																	_a  :   List[str]				 =							batch[-1]
															if batch:
																	_a  :   Dict				 =							pa.Table.from_arrays([pa.array([batch]	)]			,names=_UpperCAmelCase	)
																	yield (file_idx, batch_idx), self._cast_table(_UpperCAmelCase	)
													elif self.config.sample_by == "document":
															_a  :   Any				 =							f.read()
															_a  :   Union[str, Any]				 =							pa.Table.from_arrays([pa.array([text]	)]			,names=_UpperCAmelCase	)
															yield file_idx, self._cast_table(_UpperCAmelCase	)









'''simple docstring'''

from __future__ import annotations

# Define the Gravitational Constant G and the function
__lowerCAmelCase		    =     6.6743e-11  # unit of G : m^3 * kg^-1 * s^-2



def   __lowerCamelCase  (   lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_						)    ->   dict[str, float]:
		_a  :   str				 =							mass_a * mass_a

		if (force, mass_a, mass_a, distance).count(0						) != 1:
				raise ValueError('One and only one argument must be 0'						)
		if force < 0:
				raise ValueError('Gravitational force can not be negative'						)
		if distance < 0:
				raise ValueError('Distance can not be negative'						)
		if mass_a < 0 or mass_a < 0:
				raise ValueError('Mass can not be negative'						)
		if force == 0:
				_a  :   List[Any]				 =							GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
				return {"force": force}
		elif mass_a == 0:
				_a  :   Any				 =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
				return {"mass_1": mass_a}
		elif mass_a == 0:
				_a  :   Tuple				 =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
				return {"mass_2": mass_a}
		elif distance == 0:
				_a  :   str				 =							(GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
				return {"distance": distance}
		raise ValueError('One and only one argument must be 0'						)


# Run doctest
if __name__ == "__main__":
							import doctest

							doctest.testmod()




