code: def test_argfix(self):
      self.assertEqual(Tensor.zeros().shape, ())
      self.assertEqual(Tensor.ones().shape, ())
  
      self.assertEqual(Tensor.zeros([]).shape, ())
      self.assertEqual(Tensor.ones([]).shape, ())
  
      self.assertEqual(Tensor.zeros(tuple()).shape, ())
      self.assertEqual(Tensor.ones(tuple()).shape, ())
  
      self.assertEqual(Tensor.zeros(1).shape, (1,))
      self.assertEqual(Tensor.ones(1).shape, (1,))
  
      self.assertEqual(Tensor.zeros(1, 10, 20).shape, (1, 10, 20))
      self.assertEqual(Tensor.ones(1, 10, 20).shape, (1, 10, 20))
  
      self.assertEqual(Tensor.zeros([1]).shape, (1,))
      self.assertEqual(Tensor.ones([1]).shape, (1,))
  
      self.assertEqual(Tensor.zeros([10, 20, 40]).shape, (10, 20, 40))
      self.assertEqual(Tensor.ones([10, 20, 40]).shape, (10, 20, 40))
  
      self.assertEqual(Tensor.rand(1, 10, 20).shape, (1, 10, 20))
      self.assertEqual(Tensor.rand((10, 20, 40)).shape, (10, 20, 40))
  
      self.assertEqual(Tensor.empty(1, 10, 20).shape, (1, 10, 20))
      self.assertEqual(Tensor.empty((10, 20, 40)).shape, (10, 20, 40))
  
imports: import numpy
  import torch
  import unittest, copy
  import mmap
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import temp
  from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
label_desc: Use image node_id 14 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_argfix() without return types