code: def test_uneven_shard(self):
      for N in range(1, 6):
          X = Tensor.rand(4, 1, 257).contiguous().realize()
          n = X.numpy()
          devices = tuple(f"{Device.DEFAULT}:{i}" for i in range(N))
          X.shard_(devices, 2)
          np.testing.assert_equal(X.numpy(), n)
          np.testing.assert_equal(
              X.reshape(2, 2, 257).numpy(), n.reshape((2, 2, 257))
          )
          np.testing.assert_equal(
              X.shrink(((0, 2), (0, 1), (0, 257))).numpy(),
              n[0:2, 0:1, 0:257],
          )
          np.testing.assert_equal(
              X.expand((4, 4, 257)).numpy(), np.tile(n, (1, 4, 1))
          )
          np.testing.assert_equal(
              X.permute((0, 2, 1)).numpy(), np.transpose(n, (0, 2, 1))
          )
  
imports: import functools
  import unittest
  from tinygrad import Tensor, Device, nn, GlobalCounters
  from tinygrad.device import _BufferCopy
  from tinygrad.helpers import CI
  from tinygrad.jit import TinyJit
  from tinygrad.nn.state import get_parameters
  import numpy
label_desc: Use image node_id 42 for calling the TestMultiTensor obj's underlying member method code with example usage: obj.test_uneven_shard() without return types