code: 
  
  
  
  
  
  '''simple docstring'''
  
  
  import itertools
  from dataclasses import dataclass
  from typing import Optional
  
  import pyarrow as pa
  
  import datasets
  from datasets.table import table_cast
  
  
  _lowerCamelCase				:	int				    =       datasets.utils.logging.get_logger(__name__)
  
  
  
  @dataclass
  class 							__UpperCAmelCase  (       datasets.BuilderConfig						):
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		__lowerCAmelCase 				=    None
  
  
  
  
  
  
  class 							__UpperCAmelCase  (       datasets.ArrowBasedBuilder						):
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		__lowerCAmelCase 				=    ArrowConfig
  
  
  
  
  
  
  
  		def        A     (self						:      Union[str, Any]      ):
  			return datasets.DatasetInfo(features=self.config.features      )
  
  
  
  
  
  
  
  		def        A     (self						:      List[Any]      ,      _lowerCAmelCase						:      Union[str, 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							  =      dl_manager.download_and_extract(self.config.data_files      )
  			if isinstance(__a      ,      (str, list, tuple)      ):
  				A							  =      data_files
  				if isinstance(__a      ,      __a      ):
  					A							  =      [files]
  				# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
  				A							  =      [dl_manager.iter_files(__a      ) for file in files]
  				return [datasets.SplitGenerator(name=datasets.Split.TRAIN      ,      gen_kwargs={"""files""": files}      )]
  			A							  =      []
  			for split_name, files in data_files.items():
  				if isinstance(__a      ,      __a      ):
  					A							  =      [files]
  				# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
  				A							  =      [dl_manager.iter_files(__a      ) for file in files]
  				# Infer features is they are stoed in the arrow schema
  				if self.info.features is None:
  					for file in itertools.chain.from_iterable(__a      ):
  						with open(__a      ,      """rb"""      ) as f:
  							A							  =      datasets.Features.from_arrow_schema(pa.ipc.open_stream(__a      ).schema      )
  						break
  				splits.append(datasets.SplitGenerator(name=__a      ,      gen_kwargs={"""files""": files}      )      )
  			return splits
  
  
  
  
  
  
  
  		def        A     (self						:      List[Any]      ,      _lowerCAmelCase						:      Union[str, Any]      ):
  
  
  
  
  
  			if self.info.features is not None:
  				# more expensive cast to support nested features with keys in a different order
  				# allows str <-> int/float or str to Audio for example
  				A							  =      table_cast(__a      ,      self.info.features.arrow_schema      )
  			return pa_table
  
  
  
  
  
  
  
  		def        A     (self						:      Tuple      ,      _lowerCAmelCase						:      Tuple      ):
  
  
  
  
  
  			for file_idx, file in enumerate(itertools.chain.from_iterable(__a      )      ):
  				with open(__a      ,      """rb"""      ) as f:
  					try:
  						for batch_idx, record_batch in enumerate(pa.ipc.open_stream(__a      )      ):
  							A							  =      pa.Table.from_batches([record_batch]      )
  							# 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 F"""{file_idx}_{batch_idx}""", self._cast_table(__a      )
  					except ValueError as e:
  						logger.error(F"""Failed to read file '{file}' with error {type(__a      )}: {e}"""      )
  						raise
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  _lowerCamelCase				:	List[str]				    =       [[0, 1, 1], [0, 0, 1], [1, 0, 0]]
  
  
  
  class 							__UpperCAmelCase  :
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		def __init__(self						:      List[Any]      ,      _lowerCAmelCase						:      List[Any]      ):
  			A							  =      name
  			A							  =      []
  			A							  =      []
  
  
  
  
  
  
  
  		def        A     (self						:      Dict      ,      _lowerCAmelCase						:      str      ):
  			self.inbound.append(_lowerCAmelCase      )
  
  
  
  
  
  
  
  		def        A     (self						:      Dict      ,      _lowerCAmelCase						:      Any      ):
  			self.outbound.append(_lowerCAmelCase      )
  
  
  
  
  
  
  
  		def __repr__(self						:      Tuple      ):
  			return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""
  
  
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase=3       ,			UpperCAmelCase=0.85    )      ->Tuple:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      {}
  	for node in nodes:
  		A							  =      1
  
  	A							  =      {}
  	for node in nodes:
  		A							  =      len(node.outbound    )
  
  	for i in range(UpperCAmelCase    ):
  		print(f"""======= Iteration {i + 1} ======="""    )
  		for _, node in enumerate(UpperCAmelCase    ):
  			A							  =      (1 - d) + d * sum(
  			    ranks[ib] / outbounds[ib] for ib in node.inbound    )
  		print(UpperCAmelCase    )
  
  
  
  
  def    __a (     )      ->Any:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      list(input("""Enter Names of the Nodes: """    ).split()    )
  
  	A							  =      [Node(UpperCAmelCase    ) for name in names]
  
  	for ri, row in enumerate(UpperCAmelCase    ):
  		for ci, col in enumerate(UpperCAmelCase    ):
  			if col == 1:
  				nodes[ci].add_inbound(names[ri]    )
  				nodes[ri].add_outbound(names[ci]    )
  
  	print("""======= Nodes ======="""    )
  	for node in nodes:
  		print(UpperCAmelCase    )
  
  	page_rank(UpperCAmelCase    )
  
  
  if __name__ == "__main__":
  				main()
  
  