





'''simple docstring'''


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 							_snake_case				(		self						)      ->							Optional[Any]:
     _lowerCAmelCase		     = "nvidia/megatron-gpt2-345m/"
     if "MYDIR" in os.environ:
         _lowerCAmelCase		     = os.path.join(os.environ["MYDIR"]     ,       _lowerCAmelCase						)
     _lowerCAmelCase		     = GPTaLMHeadModel.from_pretrained(_lowerCAmelCase						)
     model.to(_lowerCAmelCase						)
     model.half()

     _lowerCAmelCase		     = torch.tensor(
         [[101, 7110, 1005, 1056, 2023, 11333, 17413, 1029, 102]]     ,       device=_lowerCAmelCase     ,       dtype=torch.long     ,       )

     with torch.no_grad():
         _lowerCAmelCase		     = model(_lowerCAmelCase						).logits

     _lowerCAmelCase		     = torch.Size((1, 9, 50257)						)
     self.assertEqual(output.shape     ,       _lowerCAmelCase						)

     _lowerCAmelCase		     = torch.tensor(
         [
             4.9414,
             -0.2920,
             -1.2148,
             -4.0273,
             -0.5161,
             -5.2109,
             -1.2412,
             -1.8301,
             -1.7734,
             -4.7148,
             -0.2317,
             -1.0811,
             -2.1777,
             0.4141,
             -3.7969,
             -4.0586,
             -2.5332,
             -3.3809,
             4.3867,
         ]     ,       device=_lowerCAmelCase     ,       dtype=torch.half     ,       )

     for i in range(19						):
         _lowerCAmelCase     ,     _lowerCAmelCase		     = 8 * i // 17, 2792 * i  # along the diagonal
         _lowerCAmelCase     ,     _lowerCAmelCase		     = output[0, r, c], expected_diag[i]
         _lowerCAmelCase		     = f'''row={r} col={c} computed={computed} expected={expected}'''
         self.assertAlmostEqual(_lowerCAmelCase     ,       _lowerCAmelCase     ,       delta=1E-4     ,       msg=_lowerCAmelCase						)









'''simple docstring'''


from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

_SCREAMING_SNAKE_CASE			=							TypeVar("T", bound=bool)

class 				lowerCAmelCase_						(						Generic[T]						):




 def __init__(		self     ,       _lowerCAmelCase						)      ->							None:
     _lowerCAmelCase		     = value
     _lowerCAmelCase		     = None
     _lowerCAmelCase		     = None




 @property
 def 							_snake_case				(		self						)      ->							T:
     return self._value





 @staticmethod
 def 							_snake_case				(		_lowerCAmelCase     ,       _lowerCAmelCase						)      ->							SkewNode[T] | None:
     if not roota:
         return roota

     if not roota:
         return roota

     if roota.value > roota.value:
         _lowerCAmelCase     ,     _lowerCAmelCase		     = roota, roota

     _lowerCAmelCase		     = roota
     _lowerCAmelCase		     = roota.right
     _lowerCAmelCase		     = roota.left
     _lowerCAmelCase		     = SkewNode.merge(_lowerCAmelCase     ,       _lowerCAmelCase						)

     return result







class 				lowerCAmelCase_						(						Generic[T]						):




 def __init__(		self     ,       _lowerCAmelCase = ()						)      ->							None:
     _lowerCAmelCase		     = None
     if data:
         for item in data:
             self.insert(_lowerCAmelCase						)




 def __bool__(		self						)      ->							bool:
     return self._root is not None




 def __iter__(		self						)      ->							Iterator[T]:
     _lowerCAmelCase		     = []
     while self:
         result.append(self.pop()						)

     # Pushing items back to the heap not to clear it.
     for item in result:
         self.insert(_lowerCAmelCase						)

     return iter(_lowerCAmelCase						)




 def 							_snake_case				(		self     ,       _lowerCAmelCase						)      ->							None:
     _lowerCAmelCase		     = SkewNode.merge(self._root     ,       SkewNode(_lowerCAmelCase						)						)




 def 							_snake_case				(		self						)      ->							T | None:
     _lowerCAmelCase		     = self.top()
     _lowerCAmelCase		     = (
         SkewNode.merge(self._root.left     ,       self._root.right						) if self._root else None
     )

     return result




 def 							_snake_case				(		self						)      ->							T:
     if not self._root:
         raise IndexError("Can't get top element for the empty heap."						)
     return self._root.value





 def 							_snake_case				(		self						)      ->							None:
     _lowerCAmelCase		     = None


if __name__ == "__main__":
       import doctest

       doctest.testmod()


