





"""simple docstring"""




class  _a						:






				def __init__( self		:    int, lowerCAmelCase__		:    int							)	->      None:




										'''simple docstring'''



										_UpperCamelCase			:					List[Any]     =    data
										_UpperCamelCase			:					BinaryTreeNode | None     =    None
										_UpperCamelCase			:					BinaryTreeNode | None     =    None





def        a_				(							_lowercase       ,						_lowercase   ):
						if node is None:
												_UpperCamelCase			:					str     =    BinaryTreeNode(_lowercase   )
												return node

						# binary search tree is not empty,
						# so we will insert it into the tree
						# if new_value is less than value of data in node,
						#  add it to left subtree and proceed recursively
						if new_value < node.data:
												_UpperCamelCase			:					int     =    insert(node.left_child       ,						_lowercase   )
						else:
												# if new_value is greater than value of data in node,
												#  add it to right subtree and proceed recursively
												_UpperCamelCase			:					Tuple     =    insert(node.right_child       ,						_lowercase   )
						return node





def        a_				(							_lowercase   ):  # if node is None,return
						if node:
												_UpperCamelCase			:					Union[str, Any]     =    inorder(node.left_child   )
												_UpperCamelCase			:					Dict     =    [*inorder_array, node.data]
												_UpperCamelCase			:					Optional[int]     =    inorder_array + inorder(node.right_child   )
						else:
												_UpperCamelCase			:					Optional[int]     =    []
						return inorder_array





def        a_				(							):
						_UpperCamelCase			:					Union[str, Any]     =    insert(_lowercase       ,						15   )
						insert(_lowercase       ,						10   )
						insert(_lowercase       ,						25   )
						insert(_lowercase       ,						6   )
						insert(_lowercase       ,						14   )
						insert(_lowercase       ,						20   )
						insert(_lowercase       ,						60   )
						return root





def        a_				(							):
						# main function
						_UpperCamelCase			:					Tuple     =    make_tree()
						print('''Printing values of binary search tree in Inorder Traversal.'''   )
						inorder(_lowercase   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()




import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


lowerCAmelCase__							= datasets.utils.logging.get_logger(__name__)
@dataclass
class 				a_ (						datasets.BuilderConfig						):






 '''simple docstring'''






 UpperCAmelCase_	 =					None






class 				a_ (						datasets.ArrowBasedBuilder						):






 '''simple docstring'''






 UpperCAmelCase_	 =					ArrowConfig




 def 		__snake_case						(			self					:  Any):







        '''simple docstring'''



        return datasets.DatasetInfo(features=self.config.features)




 def 		__snake_case						(			self					:  Dict			,    lowercase__					:  str):







        '''simple docstring'''



        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}""")
        lowerCAmelCase__     	=					dl_manager.download_and_extract(self.config.data_files)
        if isinstance(lowercase__			,    (str, list, tuple)):
               lowerCAmelCase__     	=					data_files
               if isinstance(lowercase__			,    lowercase__):
                      lowerCAmelCase__     	=					[files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               lowerCAmelCase__     	=					[dl_manager.iter_files(lowercase__) for file in files]
               return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,    gen_kwargs={'files': files})]
        lowerCAmelCase__     	=					[]
        for split_name, files in data_files.items():
               if isinstance(lowercase__			,    lowercase__):
                      lowerCAmelCase__     	=					[files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               lowerCAmelCase__     	=					[dl_manager.iter_files(lowercase__) 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(lowercase__):
                             with open(lowercase__			,    'rb') as f:
                                    lowerCAmelCase__     	=					datasets.Features.from_arrow_schema(pa.ipc.open_stream(lowercase__).schema)
                             break
               splits.append(datasets.SplitGenerator(name=lowercase__			,    gen_kwargs={'files': files}))
        return splits




 def 		__snake_case						(			self					:  Dict			,    lowercase__					:  pa.Table):







        '''simple docstring'''



        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
               lowerCAmelCase__     	=					table_cast(lowercase__			,    self.info.features.arrow_schema)
        return pa_table




 def 		__snake_case						(			self					:  List[Any]			,    lowercase__					:  str):







        '''simple docstring'''



        for file_idx, file in enumerate(itertools.chain.from_iterable(lowercase__)):
               with open(lowercase__			,    'rb') as f:
                      try:
                             for batch_idx, record_batch in enumerate(pa.ipc.open_stream(lowercase__)):
                                    lowerCAmelCase__     	=					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(lowercase__)
                      except ValueError as e:
                             logger.error(F"""Failed to read file '{file}' with error {type(lowercase__)}: {e}""")
                             raise
