




import os
import tempfile
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
 import torch
 from torch import nn

 from transformers import (
     Adafactor,
     AdamW,
     get_constant_schedule,
     get_constant_schedule_with_warmup,
     get_cosine_schedule_with_warmup,
     get_cosine_with_hard_restarts_schedule_with_warmup,
     get_inverse_sqrt_schedule,
     get_linear_schedule_with_warmup,
     get_polynomial_decay_schedule_with_warmup,
 )




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_=10      )       ->	int:

    """simple docstring"""


    __UpperCamelCase  		=						[]
    for _ in range(lowercase_      ):
        lrs.append(scheduler.get_lr()[0]      )
        scheduler.step()
    return lrs




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_=10      )       ->	int:

    """simple docstring"""


    __UpperCamelCase  		=						[]
    for step in range(lowercase_      ):
        lrs.append(scheduler.get_lr()[0]      )
        scheduler.step()
        if step == num_steps // 2:
            with tempfile.TemporaryDirectory() as tmpdirname:
                __UpperCamelCase  		=						os.path.join(lowercase_					,     '''schedule.bin'''      )
                torch.save(scheduler.state_dict()					,     lowercase_      )

                __UpperCamelCase  		=						torch.load(lowercase_      )
                scheduler.load_state_dict(lowercase_      )
    return lrs

@require_torch
class  _lowerCamelCase						(			unittest.TestCase   ):

      """simple docstring"""

      def       snake_case	(     self					: Any ,       snake_case					: List[Any] ,       snake_case					: Optional[Any] ,       snake_case					: Any				):
          self.assertEqual(len(snake_case				) ,       len(snake_case				)				)
          for a, b in zip(snake_case ,       snake_case				):
              self.assertAlmostEqual(snake_case ,       snake_case ,       delta=snake_case				)







      def       snake_case	(     self					: int				):
          __UpperCamelCase  		=						torch.tensor([0.1, -0.2, -0.1] ,       requires_grad=snake_case				)
          __UpperCamelCase  		=						torch.tensor([0.4, 0.2, -0.5]				)
          __UpperCamelCase  		=						nn.MSELoss()
          # No warmup, constant schedule, no gradient clipping
          __UpperCamelCase  		=						AdamW(params=[w] ,       lr=2E-1 ,       weight_decay=0.0				)
          for _ in range(100				):
              __UpperCamelCase  		=						criterion(snake_case ,       snake_case				)
              loss.backward()
              optimizer.step()
              w.grad.detach_()  # No zero_grad() function on simple tensors. we do it ourselves.
              w.grad.zero_()
          self.assertListAlmostEqual(w.tolist() ,       [0.4, 0.2, -0.5] ,       tol=1E-2				)







      def       snake_case	(     self					: int				):
          __UpperCamelCase  		=						torch.tensor([0.1, -0.2, -0.1] ,       requires_grad=snake_case				)
          __UpperCamelCase  		=						torch.tensor([0.4, 0.2, -0.5]				)
          __UpperCamelCase  		=						nn.MSELoss()
          # No warmup, constant schedule, no gradient clipping
          __UpperCamelCase  		=						Adafactor(
              params=[w] ,       lr=1E-2 ,       eps=(1E-30, 1E-3) ,       clip_threshold=1.0 ,       decay_rate=-0.8 ,       betaa=snake_case ,       weight_decay=0.0 ,       relative_step=snake_case ,       scale_parameter=snake_case ,       warmup_init=snake_case ,       )
          for _ in range(1000				):
              __UpperCamelCase  		=						criterion(snake_case ,       snake_case				)
              loss.backward()
              optimizer.step()
              w.grad.detach_()  # No zero_grad() function on simple tensors. we do it ourselves.
              w.grad.zero_()
          self.assertListAlmostEqual(w.tolist() ,       [0.4, 0.2, -0.5] ,       tol=1E-2				)







@require_torch
class  _lowerCamelCase						(			unittest.TestCase   ):

      """simple docstring"""

      lowerCAmelCase__			: Tuple    =					nn.Linear(50							,			50   ) if is_torch_available() else None
      lowerCAmelCase__			: Any    =					AdamW(m.parameters()							,			lr=10.0   ) if is_torch_available() else None
      lowerCAmelCase__			: Any    =					10







      def       snake_case	(     self					: List[Any] ,       snake_case					: Union[str, Any] ,       snake_case					: Tuple ,       snake_case					: int ,       snake_case					: Optional[Any]=None				):
          self.assertEqual(len(snake_case				) ,       len(snake_case				)				)
          for a, b in zip(snake_case ,       snake_case				):
              self.assertAlmostEqual(snake_case ,       snake_case ,       delta=snake_case ,       msg=snake_case				)







      def       snake_case	(     self					: List[Any]				):
          __UpperCamelCase  		=						{'''num_warmup_steps''': 2, '''num_training_steps''': 10}
          # schedulers doct format
          # function: (sched_args_dict, expected_learning_rates)
          __UpperCamelCase  		=						{
              get_constant_schedule: ({}, [10.0] * self.num_steps),
              get_constant_schedule_with_warmup: (
                  {'''num_warmup_steps''': 4},
                  [0.0, 2.5, 5.0, 7.5, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0],
              ),
              get_linear_schedule_with_warmup: (
                  {**common_kwargs},
                  [0.0, 5.0, 10.0, 8.75, 7.5, 6.25, 5.0, 3.75, 2.5, 1.25],
              ),
              get_cosine_schedule_with_warmup: (
                  {**common_kwargs},
                  [0.0, 5.0, 10.0, 9.61, 8.53, 6.91, 5.0, 3.08, 1.46, 0.38],
              ),
              get_cosine_with_hard_restarts_schedule_with_warmup: (
                  {**common_kwargs, '''num_cycles''': 2},
                  [0.0, 5.0, 10.0, 8.53, 5.0, 1.46, 10.0, 8.53, 5.0, 1.46],
              ),
              get_polynomial_decay_schedule_with_warmup: (
                  {**common_kwargs, '''power''': 2.0, '''lr_end''': 1E-7},
                  [0.0, 5.0, 10.0, 7.6_56, 5.6_25, 3.9_06, 2.5, 1.4_06, 0.6_25, 0.1_56],
              ),
              get_inverse_sqrt_schedule: (
                  {'''num_warmup_steps''': 2},
                  [0.0, 5.0, 10.0, 8.1_65, 7.0_71, 6.3_25, 5.7_74, 5.3_45, 5.0, 4.7_14],
              ),
          }

          for scheduler_func, data in scheds.items():
              __UpperCamelCase		,      __UpperCamelCase  		=						data

              __UpperCamelCase  		=						scheduler_func(self.optimizer ,       **snake_case				)
              self.assertEqual(len([scheduler.get_lr()[0]]				) ,       1				)
              __UpperCamelCase  		=						unwrap_schedule(snake_case ,       self.num_steps				)
              self.assertListAlmostEqual(
                  snake_case ,       snake_case ,       tol=1E-2 ,       msg=F"failed for {scheduler_func} in normal scheduler" ,       )

              __UpperCamelCase  		=						scheduler_func(self.optimizer ,       **snake_case				)
              if scheduler_func.__name__ != "get_constant_schedule":
                  LambdaScheduleWrapper.wrap_scheduler(snake_case				)  # wrap to test picklability of the schedule
              __UpperCamelCase  		=						unwrap_and_save_reload_schedule(snake_case ,       self.num_steps				)
              self.assertListEqual(snake_case ,       snake_case ,       msg=F"failed for {scheduler_func} in save and reload"				)







class  _lowerCamelCase						:

      """simple docstring"""

      def __init__(     self					: List[Any] ,       snake_case					: Union[str, Any]				):
          __UpperCamelCase  		=						fn







      def __call__(     self					: Dict ,       *snake_case					: List[str] ,       **snake_case					: Union[str, Any]				):
          return self.fn(*snake_case ,       **snake_case				)







      @classmethod
      def       snake_case	(     self					: Dict ,       snake_case					: Optional[int]				):
          __UpperCamelCase  		=						list(map(self ,       scheduler.lr_lambdas				)				)












from __future__ import annotations

import queue

class  _lowerCamelCase						:

      """simple docstring"""

      def __init__(     self					: Any ,       snake_case					: Tuple				):
          __UpperCamelCase  		=						data
          __UpperCamelCase  		=						None
          __UpperCamelCase  		=						None







def 					__SCREAMING_SNAKE_CASE   (  )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	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 					__SCREAMING_SNAKE_CASE   (  lowercase_ = ""					,     lowercase_=50					,     lowercase_="*"      )       ->	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"))

 a_   		=     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())






