

import os
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
      import torch

      from transformers import GPTaLMHeadModel


@require_torch
@require_sentencepiece
@require_tokenizers
class      lowerCamelCase_ (			unittest.TestCase):




 @slow
 @unittest.skip('Model is not available.'							)
 def     a       (			self							):
   __UpperCAmelCase	:  Dict		=     'nvidia/megatron-gpt2-345m/'
   if "MYDIR" in os.environ:
     __UpperCAmelCase	:  List[Any]		=     os.path.join(os.environ['MYDIR']  ,  _UpperCAmelCase							)
   __UpperCAmelCase	:  Optional[int]		=     GPTaLMHeadModel.from_pretrained(_UpperCAmelCase							)
   model.to(_UpperCAmelCase							)
   model.half()

   __UpperCAmelCase	:  Optional[int]		=     torch.tensor(
       [[101, 7_110, 1_005, 1_056, 2_023, 11_333, 17_413, 1_029, 102]]  ,  device=_UpperCAmelCase  ,  dtype=torch.long  ,  )

   with torch.no_grad():
     __UpperCAmelCase	:  Any		=     model(_UpperCAmelCase							).logits

   __UpperCAmelCase	:  Tuple		=     torch.Size((1, 9, 50_257)							)
   self.assertEqual(output.shape  ,  _UpperCAmelCase							)

   __UpperCAmelCase	:  Any		=     torch.tensor(
       [
           4.9_4_1_4,
           -0.2_9_2_0,
           -1.2_1_4_8,
           -4.0_2_7_3,
           -0.5_1_6_1,
           -5.2_1_0_9,
           -1.2_4_1_2,
           -1.8_3_0_1,
           -1.7_7_3_4,
           -4.7_1_4_8,
           -0.2_3_1_7,
           -1.0_8_1_1,
           -2.1_7_7_7,
           0.4_1_4_1,
           -3.7_9_6_9,
           -4.0_5_8_6,
           -2.5_3_3_2,
           -3.3_8_0_9,
           4.3_8_6_7,
       ]  ,  device=_UpperCAmelCase  ,  dtype=torch.half  ,  )

   for i in range(19							):
     __UpperCAmelCase,			__UpperCAmelCase	:  Optional[int]		=     8 * i // 17, 2_792 * i  # along the diagonal
     __UpperCAmelCase,			__UpperCAmelCase	:  Optional[Any]		=     output[0, r, c], expected_diag[i]
     __UpperCAmelCase	:  Optional[Any]		=     F"row={r} col={c} computed={computed} expected={expected}"
     self.assertAlmostEqual(_UpperCAmelCase  ,  _UpperCAmelCase  ,  delta=1E-4  ,  msg=_UpperCAmelCase							)








class      lowerCamelCase_ :




 def __init__(			self  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  Any		=     data
   __UpperCAmelCase	:  BinaryTreeNode | None		=     None
   __UpperCAmelCase	:  BinaryTreeNode | None		=     None





def  _snake_case		(snake_case_					:     BinaryTreeNode | None    ,       snake_case_					:     int  )							->		BinaryTreeNode | None:
  if node is None:
    __UpperCAmelCase	:  List[Any]		=     BinaryTreeNode(snake_case_  )
    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	:  Union[str, Any]		=     insert(node.left_child    ,       snake_case_  )
  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    ,       snake_case_  )
  return node





def  _snake_case		(snake_case_					:     None | BinaryTreeNode  )							->		list[int]:  # if node is None,return
  if node:
    __UpperCAmelCase	:  str		=     inorder(node.left_child  )
    __UpperCAmelCase	:  Optional[int]		=     [*inorder_array, node.data]
    __UpperCAmelCase	:  str		=     inorder_array + inorder(node.right_child  )
  else:
    __UpperCAmelCase	:  Union[str, Any]		=     []
  return inorder_array





def  _snake_case		()							->		BinaryTreeNode | None:
  __UpperCAmelCase	:  Tuple		=     insert(snake_case_    ,       15  )
  insert(snake_case_    ,       10  )
  insert(snake_case_    ,       25  )
  insert(snake_case_    ,       6  )
  insert(snake_case_    ,       14  )
  insert(snake_case_    ,       20  )
  insert(snake_case_    ,       60  )
  return root





def  _snake_case		()							->		None:
  # main function
  __UpperCAmelCase	:  Any		=     make_tree()
  print('Printing values of binary search tree in Inorder Traversal.'  )
  inorder(snake_case_  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()





