

'''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 lowerCamelCase   (    datasets.BuilderConfig				):
				snake_case_							     = None
				snake_case_							     = "utf-8"
				snake_case_							     = None
				snake_case_							     = 10 << 20  # 10MB
				snake_case_							     = False
				snake_case_							     = "line"







class lowerCamelCase   (    datasets.ArrowBasedBuilder				):
				snake_case_							     = TextConfig

				def 					_lowerCamelCase    (       self )    ->							Dict:
					return datasets.DatasetInfo(features=self.config.features )

				def 					_lowerCamelCase    (       self,						lowercase_ )    ->							Tuple:
					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							=					dl_manager.download_and_extract(self.config.data_files )
					if isinstance(lowercase_,						(str, list, tuple) ):
						snake_case							=					data_files
						if isinstance(lowercase_,						lowercase_ ):
							snake_case							=					[files]
						snake_case							=					[dl_manager.iter_files(lowercase_ ) for file in files]
						return [datasets.SplitGenerator(name=datasets.Split.TRAIN,						gen_kwargs={'files': files} )]
					snake_case							=					[]
					for split_name, files in data_files.items():
						if isinstance(lowercase_,						lowercase_ ):
							snake_case							=					[files]
						snake_case							=					[dl_manager.iter_files(lowercase_ ) for file in files]
						splits.append(datasets.SplitGenerator(name=lowercase_,						gen_kwargs={'files': files} ) )
					return splits

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






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










'''simple docstring'''






class 	_lowerCAmelCase     :






		'''simple docstring'''
		def __init__(						self							:       int      ,		UpperCamelCase_							:       int		)      ->			None:







									'''simple docstring'''





									_lowercase							:		Optional[Any]				=   data
									_lowercase							:		int
									_lowercase							:		Node





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node  )		->None:






							'''simple docstring'''
							_lowercase							:		str				=   0
							_lowercase							:		List[Any]				=   x





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node ,       snake_case_    :     Node  )		->None:






							'''simple docstring'''
							_lowercase			, _lowercase							:		Union[str, Any]				=   find_set(snake_case_  ), find_set(snake_case_  )
							if x == y:
														return

							elif x.rank > y.rank:
														_lowercase							:		Optional[Any]				=   x
							else:
														_lowercase							:		Optional[int]				=   y
														if x.rank == y.rank:
																					y.rank += 1





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node  )		->Node:






							'''simple docstring'''
							if x != x.parent:
														_lowercase							:		str				=   find_set(x.parent  )
							return x.parent





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node  )		->set:






							'''simple docstring'''
							_lowercase							:		str				=   ({0, 1, 2}, {3, 4, 5})
							for s in sets:
														if node.data in s:
																					return s
							_lowercase							:		Optional[Any]				=   F"{node.data} is not in {sets}"
							raise ValueError(snake_case_  )





def 				_SCREAMING_SNAKE_CASE(					)		->None:






							'''simple docstring'''
							_lowercase							:		Any				=   [Node(snake_case_  ) for i in range(6  )]
							for v in vertex:
														make_set(snake_case_  )

							union_set(vertex[0] ,       vertex[1]  )
							union_set(vertex[1] ,       vertex[2]  )
							union_set(vertex[3] ,       vertex[4]  )
							union_set(vertex[3] ,       vertex[5]  )

							for nodea in vertex:
														for nodea in vertex:
																					if find_python_set(snake_case_  ).isdisjoint(find_python_set(snake_case_  )  ):
																												assert find_set(snake_case_  ) != find_set(snake_case_  )
																					else:
																												assert find_set(snake_case_  ) == find_set(snake_case_  )


if __name__ == "__main__":
						test_disjoint_set()



