code: def test_argwhere_order():
      data = np.asfortranarray([[True, False], [False, True]])
      cond = tensor(data, chunk_size=1)
      indices = argwhere(cond)
  
      assert indices.flags["F_CONTIGUOUS"] is True
      assert indices.flags["C_CONTIGUOUS"] is False
  
      indices = tile(indices)
  
      assert indices.chunks[0].order.value == "F"
  
imports: import numpy
  import pytest
  from ....core import tile
  from ....core.operand import OperandStage
  from ...datasource import ones, tensor, arange
  from ..None import transpose, broadcast_to, where, argwhere, array_split, split, squeeze, result_type, repeat, copyto, isin, moveaxis, TensorCopyTo, atleast_1d, atleast_2d, atleast_3d, ravel, searchsorted, unique, sort, partition, topk, to_gpu, to_cpu
label_desc: Use image node_id 9 for calling a global function with example usage: test_argwhere_order() without return types