





'''simple docstring'''

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

import pyarrow as pa
import pyarrow.json as paj

import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline


lowercase__		:     Dict			=							datasets.utils.logging.get_logger(__name__)
@dataclass
class 							__lowerCAmelCase	(       datasets.BuilderConfig					):






       """simple docstring"""
       _snake_case      :	Optional[datasets.Features]									=       None
       _snake_case      :	str									=       "utf-8"
       _snake_case      :	Optional[str]									=       None
       _snake_case      :	Optional[str]									=       None
       _snake_case      :	bool									=       True  # deprecated
       _snake_case      :	Optional[int]									=       None  # deprecated
       _snake_case      :	int									=       1_0 << 2_0  # 10MB
       _snake_case      :	Optional[bool]									=       None

class 							__lowerCAmelCase	(       datasets.ArrowBasedBuilder					):






       """simple docstring"""
       _snake_case      :	int									=       JsonConfig





       def snake_case__		(				self  :						str	)       ->	List[str]:

            '''simple docstring'''




            if self.config.block_size is not None:
                 logger.warning('''The JSON loader parameter `block_size` is deprecated. Please use `chunksize` instead'''	)
                 _UpperCamelCase							       =			self.config.block_size
            if self.config.use_threads is not True:
                 logger.warning(
                     '''The JSON loader parameter `use_threads` is deprecated and doesn\'t have any effect anymore.'''	)
            if self.config.newlines_in_values is not None:
                 raise ValueError('''The JSON loader parameter `newlines_in_values` is no longer supported'''	)
            return datasets.DatasetInfo(features=self.config.features	)





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





       def snake_case__		(				self  :						Any			,					lowerCAmelCase__  :						pa.Table	)       ->	pa.Table:

            '''simple docstring'''




            if self.config.features is not None:
                 # adding missing columns
                 for column_name in set(self.config.features	) - set(pa_table.column_names	):
                      _UpperCamelCase							       =			self.config.features.arrow_schema.field(lowerCAmelCase__	).type
                      _UpperCamelCase							       =			pa_table.append_column(lowerCAmelCase__			,					pa.array([None] * len(lowerCAmelCase__	)			,					type=lowerCAmelCase__	)	)
                 # more expensive cast to support nested structures with keys in a different order
                 # allows str <-> int/float or str to Audio for example
                 _UpperCamelCase							       =			table_cast(lowerCAmelCase__			,					self.config.features.arrow_schema	)
            return pa_table







       def snake_case__		(				self  :						List[Any]			,					lowerCAmelCase__  :						int	)       ->	List[str]:

            '''simple docstring'''




            for file_idx, file in enumerate(itertools.chain.from_iterable(lowerCAmelCase__	)	):
                 # If the file is one json object and if we need to look at the list of items in one specific field
                 if self.config.field is not None:
                      with open(lowerCAmelCase__			,					encoding=self.config.encoding			,					errors=self.config.encoding_errors	) as f:
                           _UpperCamelCase							       =			json.load(lowerCAmelCase__	)

                      # We keep only the field we are interested in
                      _UpperCamelCase							       =			dataset[self.config.field]

                      # We accept two format: a list of dicts or a dict of lists
                      if isinstance(lowerCAmelCase__			,					(list, tuple)	):
                           _UpperCamelCase							       =			set().union(*[row.keys() for row in dataset]	)
                           _UpperCamelCase							       =			{col: [row.get(lowerCAmelCase__	) for row in dataset] for col in keys}
                      else:
                           _UpperCamelCase							       =			dataset
                      _UpperCamelCase							       =			pa.Table.from_pydict(lowerCAmelCase__	)
                      yield file_idx, self._cast_table(lowerCAmelCase__	)

                 # If the file has one json object per line
                 else:
                      with open(lowerCAmelCase__			,					'''rb'''	) as f:
                           _UpperCamelCase							       =			0
                           # Use block_size equal to the chunk size divided by 32 to leverage multithreading
                           # Set a default minimum value of 16kB if the chunk size is really small
                           _UpperCamelCase							       =			max(self.config.chunksize // 32			,					16 << 10	)
                           _UpperCamelCase							       =			(
                               self.config.encoding_errors if self.config.encoding_errors is not None else '''strict'''
                           )
                           while True:
                                _UpperCamelCase							       =			f.read(self.config.chunksize	)
                                if not batch:
                                     break
                                # Finish current line
                                try:
                                     batch += f.readline()
                                except (AttributeError, io.UnsupportedOperation):
                                     batch += readline(lowerCAmelCase__	)
                                # PyArrow only accepts utf-8 encoded bytes
                                if self.config.encoding != "utf-8":
                                     _UpperCamelCase							       =			batch.decode(self.config.encoding			,					errors=lowerCAmelCase__	).encode('''utf-8'''	)
                                try:
                                     while True:
                                          try:
                                               _UpperCamelCase							       =			paj.read_json(
                                                   io.BytesIO(lowerCAmelCase__	)			,					read_options=paj.ReadOptions(block_size=lowerCAmelCase__	)	)
                                               break
                                          except (pa.ArrowInvalid, pa.ArrowNotImplementedError) as e:
                                               if (
                                                   isinstance(lowerCAmelCase__			,					pa.ArrowInvalid	)
                                                   and "straddling" not in str(lowerCAmelCase__	)
                                                   or block_size > len(lowerCAmelCase__	)
                                               ):
                                                    raise
                                               else:
                                                    # Increase the block size in case it was too small.
                                                    # The block size will be reset for the next file.
                                                    logger.debug(
                                                        f"""Batch of {len(lowerCAmelCase__	)} bytes couldn't be parsed with block_size={block_size}. Retrying with block_size={block_size * 2}."""	)
                                                    block_size *= 2
                                except pa.ArrowInvalid as e:
                                     try:
                                          with open(
                                              lowerCAmelCase__			,					encoding=self.config.encoding			,					errors=self.config.encoding_errors	) as f:
                                               _UpperCamelCase							       =			json.load(lowerCAmelCase__	)
                                     except json.JSONDecodeError:
                                          logger.error(f"""Failed to read file '{file}' with error {type(lowerCAmelCase__	)}: {e}"""	)
                                          raise e
                                     # If possible, parse the file as a list of json objects and exit the loop
                                     if isinstance(lowerCAmelCase__			,					lowerCAmelCase__	):  # list is the only sequence type supported in JSON
                                          try:
                                               _UpperCamelCase							       =			set().union(*[row.keys() for row in dataset]	)
                                               _UpperCamelCase							       =			{col: [row.get(lowerCAmelCase__	) for row in dataset] for col in keys}
                                               _UpperCamelCase							       =			pa.Table.from_pydict(lowerCAmelCase__	)
                                          except (pa.ArrowInvalid, AttributeError) as e:
                                               logger.error(f"""Failed to read file '{file}' with error {type(lowerCAmelCase__	)}: {e}"""	)
                                               raise ValueError(f"""Not able to read records in the JSON file at {file}."""	) from None
                                          yield file_idx, self._cast_table(lowerCAmelCase__	)
                                          break
                                     else:
                                          logger.error(f"""Failed to read file '{file}' with error {type(lowerCAmelCase__	)}: {e}"""	)
                                          raise ValueError(
                                              f"""Not able to read records in the JSON file at {file}. """
                                              f"""You should probably indicate the field of the JSON file containing your records. """
                                              f"""This JSON file contain the following fields: {str(list(dataset.keys()	)	)}. """
                                              f"""Select the correct one and provide it as `field='XXX'` to the dataset loading method. """	) from None
                        # 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(lowerCAmelCase__	)
                                batch_idx += 1










'''simple docstring'''

from __future__ import annotations

import queue
class 							__lowerCAmelCase	:






       """simple docstring"""





       def __init__(				self  :						str			,					lowerCAmelCase__  :						Optional[int]	)       ->	str:

            '''simple docstring'''




            _UpperCamelCase							       =			data
            _UpperCamelCase							       =			None
            _UpperCamelCase							       =			None







def    a__							(							)						->						TreeNode:





     """simple docstring"""

     print('''\n********Press N to stop entering at any point of time********\n''' )
     _UpperCamelCase							       =			input('''Enter the value of the root node: ''' ).strip().lower()
     _UpperCamelCase							       =			queue.Queue()
     _UpperCamelCase							       =			TreeNode(int(lowercase ) )
     q.put(lowercase )
     while not q.empty():
          _UpperCamelCase							       =			q.get()
          _UpperCamelCase							       =			F"""Enter the left node of {node_found.data}: """
          _UpperCamelCase							       =			input(lowercase ).strip().lower() or '''n'''
          if check == "n":
               return tree_node
          _UpperCamelCase							       =			TreeNode(int(lowercase ) )
          _UpperCamelCase							       =			left_node
          q.put(lowercase )
          _UpperCamelCase							       =			F"""Enter the right node of {node_found.data}: """
          _UpperCamelCase							       =			input(lowercase ).strip().lower() or '''n'''
          if check == "n":
               return tree_node
          _UpperCamelCase							       =			TreeNode(int(lowercase ) )
          _UpperCamelCase							       =			right_node
          q.put(lowercase )
     raise







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     print(node.data,   end=''',''' )
     pre_order(node.left )
     pre_order(node.right )







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     in_order(node.left )
     print(node.data,   end=''',''' )
     in_order(node.right )







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     post_order(node.left )
     post_order(node.right )
     print(node.data,   end=''',''' )







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     _UpperCamelCase							       =			queue.Queue()
     q.put(lowercase )
     while not q.empty():
          _UpperCamelCase							       =			q.get()
          print(node_dequeued.data,   end=''',''' )
          if node_dequeued.left:
               q.put(node_dequeued.left )
          if node_dequeued.right:
               q.put(node_dequeued.right )







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     _UpperCamelCase							       =			queue.Queue()
     q.put(lowercase )
     while not q.empty():
          _UpperCamelCase							       =			[]
          while not q.empty():
               _UpperCamelCase							       =			q.get()
               print(node_dequeued.data,   end=''',''' )
               if node_dequeued.left:
                    list_.append(node_dequeued.left )
               if node_dequeued.right:
                    list_.append(node_dequeued.right )
          print()
          for node in list_:
               q.put(lowercase )







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     _UpperCamelCase							       =			[]
     _UpperCamelCase							       =			node
     while n or stack:
          while n:  # start from root node, find its left child
               print(n.data,   end=''',''' )
               stack.append(lowercase )
               _UpperCamelCase							       =			n.left
          # end of while means current node doesn't have left child
          _UpperCamelCase							       =			stack.pop()
          # start to traverse its right child
          _UpperCamelCase							       =			n.right







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     _UpperCamelCase							       =			[]
     _UpperCamelCase							       =			node
     while n or stack:
          while n:
               stack.append(lowercase )
               _UpperCamelCase							       =			n.left
          _UpperCamelCase							       =			stack.pop()
          print(n.data,   end=''',''' )
          _UpperCamelCase							       =			n.right







def    a__							(							lowercase   :	TreeNode )						->						None:





     """simple docstring"""

     if not isinstance(lowercase,   lowercase ) or not node:
          return
     _UpperCamelCase       ,							_UpperCamelCase							       =			[], []
     _UpperCamelCase							       =			node
     stacka.append(lowercase )
     while stacka:  # to find the reversed order of post order, store it in stack2
          _UpperCamelCase							       =			stacka.pop()
          if n.left:
               stacka.append(n.left )
          if n.right:
               stacka.append(n.right )
          stacka.append(lowercase )
     while stacka:  # pop up from stack2 will be the post order
          print(stacka.pop().data,   end=''',''' )







def    a__							(							lowercase   :	str = "",   lowercase   :	List[str]=50,   lowercase   :	List[str]="*" )						->						str:





     """simple docstring"""

     if not s:
          return "\n" + width * char
     _UpperCamelCase       ,							_UpperCamelCase							       =			divmod(width - len(lowercase ) - 2,   2 )
     return F"""{left * char} {s} {(left + extra) * char}"""


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(prompt('Binary Tree Traversals'))

   lowercase__		:     TreeNode			=							build_tree()
   print(prompt('Pre Order Traversal'))
   pre_order(node)
   print(prompt() + '\n')

   print(prompt('In Order Traversal'))
   in_order(node)
   print(prompt() + '\n')

   print(prompt('Post Order Traversal'))
   post_order(node)
   print(prompt() + '\n')

   print(prompt('Level Order Traversal'))
   level_order(node)
   print(prompt() + '\n')

   print(prompt('Actual Level Order Traversal'))
   level_order_actual(node)
   print('*' * 50 + '\n')

   print(prompt('Pre Order Traversal - Iteration Version'))
   pre_order_iter(node)
   print(prompt() + '\n')

   print(prompt('In Order Traversal - Iteration Version'))
   in_order_iter(node)
   print(prompt() + '\n')

   print(prompt('Post Order Traversal - Iteration Version'))
   post_order_iter(node)
   print(prompt())



