'''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


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




@dataclass
class 		SCREAMING_SNAKE_CASE_				(datasets.BuilderConfig			):



			"""simple docstring"""






			__magic_name__   :							Optional[datasets.Features]             =					None
			__magic_name__   :							str             =					"utf-8"
			__magic_name__   :							Optional[str]             =					None
			__magic_name__   :							int             =					10 << 20  # 10MB
			__magic_name__   :							bool             =					False
			__magic_name__   :							str             =					"line"







class 		SCREAMING_SNAKE_CASE_				(datasets.ArrowBasedBuilder			):



			"""simple docstring"""






			__magic_name__   :							Union[str, Any]             =					TextConfig



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



			def      lowerCamelCase   (       self							, snake_case_				):
									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}"""				)
									snake_case   :					Dict							=						dl_manager.download_and_extract(self.config.data_files				)
									if isinstance(snake_case_							, (str, list, tuple)				):
															snake_case   :					Union[str, Any]							=						data_files
															if isinstance(snake_case_							, snake_case_				):
																					snake_case   :					Optional[int]							=						[files]
															snake_case   :					Union[str, Any]							=						[dl_manager.iter_files(snake_case_				) for file in files]
															return [datasets.SplitGenerator(name=datasets.Split.TRAIN							, gen_kwargs={"files": files}				)]
									snake_case   :					Dict							=						[]
									for split_name, files in data_files.items():
															if isinstance(snake_case_							, snake_case_				):
																					snake_case   :					Union[str, Any]							=						[files]
															snake_case   :					Dict							=						[dl_manager.iter_files(snake_case_				) for file in files]
															splits.append(datasets.SplitGenerator(name=snake_case_							, gen_kwargs={"files": files}				)				)
									return splits



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






			def      lowerCamelCase   (       self							, snake_case_				):
									snake_case   :					List[Any]							=						list(self.config.features				) if self.config.features is not None else ["text"]
									for file_idx, file in enumerate(itertools.chain.from_iterable(snake_case_				)				):
															# open in text mode, by default translates universal newlines ("\n", "\r\n" and "\r") into "\n"
															with open(snake_case_							, encoding=self.config.encoding							, errors=self.config.errors				) as f:
																					if self.config.sample_by == "line":
																											snake_case   :					Dict							=						0
																											while True:
																																	snake_case   :					Optional[int]							=						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)
																																	snake_case   :					Dict							=						StringIO(snake_case_				).readlines()
																																	if not self.config.keep_linebreaks:
																																							snake_case   :					int							=						[line.rstrip("\n"				) for line in batch]
																																	snake_case   :					List[str]							=						pa.Table.from_arrays([pa.array(snake_case_				)]							, names=snake_case_				)
																																	# 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(snake_case_				)
																																	batch_idx += 1
																					elif self.config.sample_by == "paragraph":
																											snake_case   :					Optional[Any]							=						0
																											snake_case   :					Tuple							=						""
																											while True:
																																	snake_case   :					List[str]							=						f.read(self.config.chunksize				)
																																	if not new_batch:
																																							break
																																	batch += new_batch
																																	batch += f.readline()  # finish current line
																																	snake_case   :					Tuple							=						batch.split("\n\n"				)
																																	snake_case   :					List[Any]							=						pa.Table.from_arrays(
																																	    [pa.array([example for example in batch[:-1] if example]				)]							, names=snake_case_				)
																																	# 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(snake_case_				)
																																	batch_idx += 1
																																	snake_case   :					Union[str, Any]							=						batch[-1]
																											if batch:
																																	snake_case   :					Dict							=						pa.Table.from_arrays([pa.array([batch]				)]							, names=snake_case_				)
																																	yield (file_idx, batch_idx), self._cast_table(snake_case_				)
																					elif self.config.sample_by == "document":
																											snake_case   :					Optional[int]							=						f.read()
																											snake_case   :					Optional[Any]							=						pa.Table.from_arrays([pa.array([text]				)]							, names=snake_case_				)
																											yield file_idx, self._cast_table(snake_case_				)






'''simple docstring'''

import math


def 					UpperCAmelCase__      (							_lowerCAmelCase						: int)						->		bool:



						"""simple docstring"""

						if 1 < number < 4:
												# 2 and 3 are primes
												return True
						elif number < 2 or number % 2 == 0 or number % 3 == 0:
												# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
												return False

						# All primes number are in format of 6k +/- 1
						for i in range(5,			int(math.sqrt(_lowerCAmelCase) + 1),			6):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True


def 					UpperCAmelCase__      (							_lowerCAmelCase						: int = 200_0000)						->		int:



						"""simple docstring"""

						return sum(num for num in range(3,			_lowerCAmelCase,			2) if is_prime(_lowerCAmelCase)) + 2 if n > 2 else 0


if __name__ == "__main__":
						print(f"{solution() = }")





