

import re

import jax.numpy as jnp
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.random import PRNGKey

from ..utils import logging


_lowerCamelCase    :       List[Any]        =							logging.get_logger(__name__)

def       a__					(		UpperCAmelCase							:      int      )  ->						int:
  UpperCAmelCase	:							Any						=			r'''\w+[.]\d+'''
  UpperCAmelCase	:							Optional[Any]						=			re.findall(UpperCAmelCase    ,			UpperCAmelCase      )
  for pat in pats:
    UpperCAmelCase	:							Optional[Any]						=			key.replace(UpperCAmelCase    ,			'''_'''.join(pat.split('''.'''      )      )      )
  return key

def       a__					(		UpperCAmelCase							:      int    ,			UpperCAmelCase							:      Any    ,			UpperCAmelCase							:      Tuple      )  ->						Optional[Any]:
  UpperCAmelCase	:							str						=			pt_tuple_key[:-1] + ('''scale''',)
  if (
      any('''norm''' in str_ for str_ in pt_tuple_key      )
      and (pt_tuple_key[-1] == "bias")
      and (pt_tuple_key[:-1] + ("bias",) not in random_flax_state_dict)
      and (pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict)
  ):
    UpperCAmelCase	:							Tuple						=			pt_tuple_key[:-1] + ('''scale''',)
    return renamed_pt_tuple_key, pt_tensor
  elif pt_tuple_key[-1] in ["weight", "gamma"] and pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict:
    UpperCAmelCase	:							Optional[int]						=			pt_tuple_key[:-1] + ('''scale''',)
    return renamed_pt_tuple_key, pt_tensor

  # embedding
  if pt_tuple_key[-1] == "weight" and pt_tuple_key[:-1] + ("embedding",) in random_flax_state_dict:
    UpperCAmelCase	:							Tuple						=			pt_tuple_key[:-1] + ('''embedding''',)
    return renamed_pt_tuple_key, pt_tensor

  # conv layer
  UpperCAmelCase	:							Any						=			pt_tuple_key[:-1] + ('''kernel''',)
  if pt_tuple_key[-1] == "weight" and pt_tensor.ndim == 4:
    UpperCAmelCase	:							Dict						=			pt_tensor.transpose(2    ,			3    ,			1    ,			0      )
    return renamed_pt_tuple_key, pt_tensor

  # linear layer
  UpperCAmelCase	:							Optional[Any]						=			pt_tuple_key[:-1] + ('''kernel''',)
  if pt_tuple_key[-1] == "weight":
    UpperCAmelCase	:							List[str]						=			pt_tensor.T
    return renamed_pt_tuple_key, pt_tensor

  # old PyTorch layer norm weight
  UpperCAmelCase	:							Optional[int]						=			pt_tuple_key[:-1] + ('''weight''',)
  if pt_tuple_key[-1] == "gamma":
    return renamed_pt_tuple_key, pt_tensor

  # old PyTorch layer norm bias
  UpperCAmelCase	:							Any						=			pt_tuple_key[:-1] + ('''bias''',)
  if pt_tuple_key[-1] == "beta":
    return renamed_pt_tuple_key, pt_tensor

  return pt_tuple_key, pt_tensor






def       a__					(		UpperCAmelCase							:      Optional[Any]    ,			UpperCAmelCase							:      Tuple    ,			UpperCAmelCase							:      List[Any]=42      )  ->						Optional[Any]:
  # Step 1: Convert pytorch tensor to numpy
  UpperCAmelCase	:							Optional[int]						=			{k: v.numpy() for k, v in pt_state_dict.items()}

  # Step 2: Since the model is stateless, get random Flax params
  UpperCAmelCase	:							Optional[int]						=			flax_model.init_weights(PRNGKey(UpperCAmelCase      )      )

  UpperCAmelCase	:							List[str]						=			flatten_dict(UpperCAmelCase      )
  UpperCAmelCase	:							int						=			{}

  # Need to change some parameters name to match Flax names
  for pt_key, pt_tensor in pt_state_dict.items():
    UpperCAmelCase	:							Optional[Any]						=			rename_key(UpperCAmelCase      )
    UpperCAmelCase	:							Any						=			tuple(renamed_pt_key.split('''.'''      )      )

    # Correctly rename weight parameters
    UpperCAmelCase			,						UpperCAmelCase	:							Dict						=			rename_key_and_reshape_tensor(UpperCAmelCase    ,			UpperCAmelCase    ,			UpperCAmelCase      )

    if flax_key in random_flax_state_dict:
      if flax_tensor.shape != random_flax_state_dict[flax_key].shape:
        raise ValueError(
            f'''PyTorch checkpoint seems to be incorrect. Weight {pt_key} was expected to be of shape '''
            f'''{random_flax_state_dict[flax_key].shape}, but is {flax_tensor.shape}.'''      )

        # also add unexpected weight so that warning is thrown
    UpperCAmelCase	:							str						=			jnp.asarray(UpperCAmelCase      )

  return unflatten_dict(UpperCAmelCase      )








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())





