

import multiprocessing
import os
from typing import BinaryIO, Optional, Union

import fsspec

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.json.json import Json
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader





class  __UpperCAmelCase					(	lowerCamelCase__						):



   def __init__(							self							:					str,		__A							:					NestedDataStructureLike[PathLike],		__A							:					Optional[NamedSplit] = None,		__A							:					Optional[Features] = None,		__A							:					str = None,		__A							:					bool = False,		__A							:					bool = False,		__A							:					Optional[str] = None,		__A							:					Optional[int] = None,		**__A							:					List[Any],		):
     super().__init__(
         __A,		split=__A,		features=__A,		cache_dir=__A,		keep_in_memory=__A,		streaming=__A,		num_proc=__A,		**__A,		)
     UpperCAmelCase	:							List[str]						=			field
     UpperCAmelCase	:							Optional[int]						=			path_or_paths if isinstance(__A,		__A						) else {self.split: path_or_paths}
     UpperCAmelCase	:							Optional[Any]						=			Json(
         cache_dir=__A,		data_files=__A,		features=__A,		field=__A,		**__A,		)





   def 	__magic_name__   (							self							:					Optional[Any]						):
     # Build iterable dataset
     if self.streaming:
       UpperCAmelCase	:							List[Any]						=			self.builder.as_streaming_dataset(split=self.split						)
     # Build regular (map-style) dataset
     else:
       UpperCAmelCase	:							List[str]						=			None
       UpperCAmelCase	:							Optional[int]						=			None
       UpperCAmelCase	:							List[str]						=			None
       UpperCAmelCase	:							Any						=			None

       self.builder.download_and_prepare(
           download_config=__A,		download_mode=__A,		verification_mode=__A,		base_path=__A,		num_proc=self.num_proc,		)
       UpperCAmelCase	:							str						=			self.builder.as_dataset(
           split=self.split,		verification_mode=__A,		in_memory=self.keep_in_memory						)
     return dataset






class  __UpperCAmelCase					:



   def __init__(							self							:					int,		__A							:					Dataset,		__A							:					Union[PathLike, BinaryIO],		__A							:					Optional[int] = None,		__A							:					Optional[int] = None,		**__A							:					List[str],		):
     if num_proc is not None and num_proc <= 0:
       raise ValueError(F'''num_proc {num_proc} must be an integer > 0.'''						)

     UpperCAmelCase	:							Optional[Any]						=			dataset
     UpperCAmelCase	:							str						=			path_or_buf
     UpperCAmelCase	:							Union[str, Any]						=			batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
     UpperCAmelCase	:							Optional[Any]						=			num_proc
     UpperCAmelCase	:							Tuple						=			'''utf-8'''
     UpperCAmelCase	:							Optional[Any]						=			to_json_kwargs



   def 	__magic_name__   (							self							:					str						):
     UpperCAmelCase	:							Dict						=			self.to_json_kwargs.pop('''path_or_buf''',		__A						)
     UpperCAmelCase	:							Optional[int]						=			self.to_json_kwargs.pop('''orient''',		'''records'''						)
     UpperCAmelCase	:							List[str]						=			self.to_json_kwargs.pop('''lines''',		True if orient == '''records''' else False						)
     UpperCAmelCase	:							Any						=			self.to_json_kwargs.pop('''index''',		False if orient in ['''split''', '''table'''] else True						)
     UpperCAmelCase	:							Tuple						=			self.to_json_kwargs.pop('''compression''',		__A						)

     if compression not in [None, "infer", "gzip", "bz2", "xz"]:
       raise NotImplementedError(F'''`datasets` currently does not support {compression} compression'''						)

     if isinstance(self.path_or_buf,		(str, bytes, os.PathLike)						):
       with fsspec.open(self.path_or_buf,		'''wb''',		compression=__A						) as buffer:
         UpperCAmelCase	:							Tuple						=			self._write(file_obj=__A,		orient=__A,		lines=__A,		index=__A,		**self.to_json_kwargs						)
     else:
       if compression:
         raise NotImplementedError(
             F'''The compression parameter is not supported when writing to a buffer, but compression={compression}'''
             ''' was passed. Please provide a local path instead.'''						)
       UpperCAmelCase	:							Optional[Any]						=			self._write(
           file_obj=self.path_or_buf,		orient=__A,		lines=__A,		index=__A,		**self.to_json_kwargs						)
     return written



   def 	__magic_name__   (							self							:					List[Any],		__A							:					int						):
     UpperCAmelCase			,						UpperCAmelCase			,						UpperCAmelCase			,						UpperCAmelCase			,						UpperCAmelCase	:							Dict						=			args

     UpperCAmelCase	:							List[str]						=			query_table(
         table=self.dataset.data,		key=slice(__A,		offset + self.batch_size						),		indices=self.dataset._indices,		)
     UpperCAmelCase	:							Optional[Any]						=			batch.to_pandas().to_json(
         path_or_buf=__A,		orient=__A,		lines=__A,		index=__A,		**__A						)
     if not json_str.endswith('''\n'''						):
       json_str += "\n"
     return json_str.encode(self.encoding						)





   def 	__magic_name__   (							self							:					str,		__A							:					BinaryIO,		__A							:					Any,		__A							:					str,		__A							:					Union[str, Any],		**__A							:					Optional[Any],		):
     UpperCAmelCase	:							Any						=			0

     if self.num_proc is None or self.num_proc == 1:
       for offset in logging.tqdm(
           range(0,		len(self.dataset						),		self.batch_size						),		unit='''ba''',		disable=not logging.is_progress_bar_enabled(),		desc='''Creating json from Arrow format''',		):
         UpperCAmelCase	:							Tuple						=			self._batch_json((offset, orient, lines, index, to_json_kwargs)						)
         written += file_obj.write(__A						)
     else:
       UpperCAmelCase			,						UpperCAmelCase	:							str						=			len(self.dataset						), self.batch_size
       with multiprocessing.Pool(self.num_proc						) as pool:
         for json_str in logging.tqdm(
             pool.imap(
                 self._batch_json,		[(offset, orient, lines, index, to_json_kwargs) for offset in range(0,		__A,		__A						)],		),		total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size,		unit='''ba''',		disable=not logging.is_progress_bar_enabled(),		desc='''Creating json from Arrow format''',		):
           written += file_obj.write(__A						)

     return written








from __future__ import annotations

import queue





class  __UpperCAmelCase					:



   def __init__(							self							:					str,		__A							:					Union[str, Any]						):
     UpperCAmelCase	:							Dict						=			data
     UpperCAmelCase	:							Tuple						=			None
     UpperCAmelCase	:							Any						=			None






def       a__					(		)  ->						TreeNode:
  print('''\n********Press N to stop entering at any point of time********\n'''      )
  UpperCAmelCase	:							Any						=			input('''Enter the value of the root node: '''      ).strip().lower()
  UpperCAmelCase	:							queue.Queue						=			queue.Queue()
  UpperCAmelCase	:							Tuple						=			TreeNode(int(UpperCAmelCase      )      )
  q.put(UpperCAmelCase      )
  while not q.empty():
    UpperCAmelCase	:							int						=			q.get()
    UpperCAmelCase	:							Union[str, Any]						=			f'''Enter the left node of {node_found.data}: '''
    UpperCAmelCase	:							List[Any]						=			input(UpperCAmelCase      ).strip().lower() or '''n'''
    if check == "n":
      return tree_node
    UpperCAmelCase	:							List[str]						=			TreeNode(int(UpperCAmelCase      )      )
    UpperCAmelCase	:							List[str]						=			left_node
    q.put(UpperCAmelCase      )
    UpperCAmelCase	:							List[Any]						=			f'''Enter the right node of {node_found.data}: '''
    UpperCAmelCase	:							List[Any]						=			input(UpperCAmelCase      ).strip().lower() or '''n'''
    if check == "n":
      return tree_node
    UpperCAmelCase	:							Dict						=			TreeNode(int(UpperCAmelCase      )      )
    UpperCAmelCase	:							Dict						=			right_node
    q.put(UpperCAmelCase      )
  raise

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  print(node.data    ,			end=''','''      )
  pre_order(node.left      )
  pre_order(node.right      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  in_order(node.left      )
  print(node.data    ,			end=''','''      )
  in_order(node.right      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  post_order(node.left      )
  post_order(node.right      )
  print(node.data    ,			end=''','''      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							queue.Queue						=			queue.Queue()
  q.put(UpperCAmelCase      )
  while not q.empty():
    UpperCAmelCase	:							List[Any]						=			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__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							queue.Queue						=			queue.Queue()
  q.put(UpperCAmelCase      )
  while not q.empty():
    UpperCAmelCase	:							int						=			[]
    while not q.empty():
      UpperCAmelCase	:							List[str]						=			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(UpperCAmelCase      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							list[TreeNode]						=			[]
  UpperCAmelCase	:							List[str]						=			node
  while n or stack:
    while n:  # start from root node, find its left child
      print(n.data    ,			end=''','''      )
      stack.append(UpperCAmelCase      )
      UpperCAmelCase	:							Dict						=			n.left
    # end of while means current node doesn't have left child
    UpperCAmelCase	:							Union[str, Any]						=			stack.pop()
    # start to traverse its right child
    UpperCAmelCase	:							List[str]						=			n.right

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							list[TreeNode]						=			[]
  UpperCAmelCase	:							Any						=			node
  while n or stack:
    while n:
      stack.append(UpperCAmelCase      )
      UpperCAmelCase	:							Dict						=			n.left
    UpperCAmelCase	:							Optional[int]						=			stack.pop()
    print(n.data    ,			end=''','''      )
    UpperCAmelCase	:							Any						=			n.right

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase			,						UpperCAmelCase	:							Dict						=			[], []
  UpperCAmelCase	:							Any						=			node
  stacka.append(UpperCAmelCase      )
  while stacka:  # to find the reversed order of post order, store it in stack2
    UpperCAmelCase	:							Union[str, Any]						=			stacka.pop()
    if n.left:
      stacka.append(n.left      )
    if n.right:
      stacka.append(n.right      )
    stacka.append(UpperCAmelCase      )
  while stacka:  # pop up from stack2 will be the post order
    print(stacka.pop().data    ,			end=''','''      )

def       a__					(		UpperCAmelCase							:      str = ""    ,			UpperCAmelCase							:      int=50    ,			UpperCAmelCase							:      Union[str, Any]="*"      )  ->						str:
  if not s:
    return "\n" + width * char
  UpperCAmelCase			,						UpperCAmelCase	:							int						=			divmod(width - len(UpperCAmelCase      ) - 2    ,			2      )
  return f'''{left * char} {s} {(left + extra) * char}'''


if __name__ == "__main__":
     import doctest

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

     _lowerCamelCase    :       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("*" * 5_0 + "\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())





