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"""
Tests for array_handler.py.
"""
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005-2020, Enthought, Inc.
# License: BSD Style.
import unittest
import vtk
import numpy
from tvtk import array_handler
from tvtk import tvtk_base
# FIXME: test_tvtk_base.py is in the local directory so just doing
# from test_tvtk_base import Prop
# should be enough, however nose 0.9.3 will not find it, unless you give
# it the full path. It nose 0.10.3 works fine in this respect.
from tvtk.tests.test_tvtk_base import Prop
def mysum(arr):
val = arr
while type(val) == numpy.ndarray:
val = numpy.sum(val)
return val
class TestArrayHandler(unittest.TestCase):
def _check_arrays(self, arr, vtk_arr):
self.assertEqual(vtk_arr.GetNumberOfTuples(), len(arr))
msg = f"\n{vtk_arr}"
if len(arr.shape) == 2:
dim1 = arr.shape[1]
self.assertEqual(vtk_arr.GetNumberOfComponents(), dim1)
for i in range(len(arr)):
if dim1 in [1,2,3,4,9]:
res = getattr(vtk_arr, 'GetTuple%s'%dim1)(i)
self.assertEqual(numpy.sum(res - arr[i]), 0)
else:
res = [vtk_arr.GetComponent(i, j) for j in range(dim1)]
self.assertEqual(numpy.sum(res - arr[i]), 0)
else:
if arr.dtype.char == 'c':
for i in range(len(arr)):
self.assertEqual(chr(int(vtk_arr.GetTuple1(i))), arr[i])
else:
for i in range(len(arr)):
self.assertEqual(vtk_arr.GetTuple1(i), arr[i], msg=msg)
def test_array2vtk(self):
"""Test Numeric array to VTK array conversion and vice-versa."""
# Put all the test arrays here.
t_z = []
# Test the different types of arrays.
t_z.append(numpy.array([-128, 0, 127], numpy.int8))
# FIXME: character arrays are a problem since there is no
# unique mapping to a VTK data type and back.
#t_z.append(numpy.array([-128, 0, 127], numpy.character))
t_z.append(numpy.array([-32768, 0, 32767], numpy.int16))
t_z.append(numpy.array([-2147483648, 0, 2147483647], numpy.int32))
t_z.append(numpy.array([
-9223372036854775808, 0, 9223372036854775807], numpy.int64))
assert t_z[-1][0] == -9223372036854775808
t_z.append(numpy.array([0, 255], numpy.uint8))
t_z.append(numpy.array([0, 65535], numpy.uint16))
t_z.append(numpy.array([0, 4294967295], numpy.uint32))
t_z.append(numpy.array([-1.0e38, 0, 1.0e38], 'f'))
t_z.append(numpy.array([-1.0e299, 0, 1.0e299], 'd'))
# Check multi-component arrays.
t_z.append(numpy.array([[1], [2], [300]], 'd'))
t_z.append(numpy.array([[1, 20], [300, 4000]], 'd'))
t_z.append(numpy.array([[1, 2, 3], [4, 5, 6]], 'f'))
t_z.append(numpy.array([[1, 2, 3],[4, 5, 6]], 'd'))
t_z.append(numpy.array([[1, 2, 3, 400],[4, 5, 6, 700]],
'd'))
t_z.append(numpy.array([list(range(9)),list(range(10,19))], 'f'))
# Test if a Python list also works.
t_z.append(numpy.array([[1., 2., 3., 400.],[4, 5, 6, 700]],
'd'))
# Test if arrays with number of components not in [1,2,3,4,9] work.
t_z.append(numpy.array([[1, 2, 3, 400, 5000],
[4, 5, 6, 700, 8000]], 'd'))
t_z.append(numpy.array([list(range(10)), list(range(10,20))], 'd'))
for z in t_z:
vtk_arr = array_handler.array2vtk(z)
# Test for memory leaks.
self.assertEqual(vtk_arr.GetReferenceCount(),
array_handler.BASE_REFERENCE_COUNT)
self._check_arrays(z, vtk_arr)
z1 = array_handler.vtk2array(vtk_arr)
if len(z.shape) == 1:
self.assertEqual(len(z1.shape), 1)
if z.dtype.char != 'c':
self.assertEqual(sum(numpy.ravel(z) - numpy.ravel(z1)), 0)
else:
self.assertEqual(z, z1.astype('c'))
# Check if type conversion works correctly.
z = numpy.array([-128, 0, 127], numpy.int8)
vtk_arr = vtk.vtkDoubleArray()
ident = id(vtk_arr)
vtk_arr = array_handler.array2vtk(z, vtk_arr)
# Make sure this is the same array!
self.assertEqual(ident, id(vtk_arr))
self._check_arrays(z, vtk_arr)
# Check the vtkBitArray.
vtk_arr = vtk.vtkBitArray()
vtk_arr.InsertNextValue(0)
vtk_arr.InsertNextValue(1)
vtk_arr.InsertNextValue(0)
vtk_arr.InsertNextValue(1)
arr = array_handler.vtk2array(vtk_arr)
self.assertEqual(numpy.sum(arr - [0,1,0,1]), 0)
vtk_arr = array_handler.array2vtk(arr, vtk_arr)
self.assertEqual(vtk_arr.GetValue(0), 0)
self.assertEqual(vtk_arr.GetValue(1), 1)
self.assertEqual(vtk_arr.GetValue(2), 0)
self.assertEqual(vtk_arr.GetValue(3), 1)
# ----------------------------------------
# Test if the array is copied or not.
a = numpy.array([[1, 2, 3],[4, 5, 6]], 'd')
vtk_arr = array_handler.array2vtk(a)
# Change the numpy array and see if the changes are
# reflected in the VTK array.
a[0] = [10.0, 20.0, 30.0]
self.assertEqual(vtk_arr.GetTuple3(0), (10., 20., 30.))
# Make sure the cache is doing its job.
key = vtk_arr.__this__
z = array_handler._array_cache.get(vtk_arr)
self.assertEqual(numpy.sum(z - numpy.ravel(a)), 0.0)
l1 = len(array_handler._array_cache)
# del the Numeric array and see if this still works.
del a
self.assertEqual(vtk_arr.GetTuple3(0), (10., 20., 30.))
# Check the cache -- just making sure.
self.assertEqual(len(array_handler._array_cache), l1)
# Delete the VTK array and see if the cache is cleared.
del vtk_arr
self.assertEqual(len(array_handler._array_cache), l1-1)
self.assertEqual(key in array_handler._array_cache._cache, False)
# Make sure bit arrays are copied.
vtk_arr = vtk.vtkBitArray()
a = numpy.array([0,1,0,1], numpy.int32)
vtk_arr = array_handler.array2vtk(a, vtk_arr)
del a
self.assertEqual(vtk_arr.GetValue(0), 0)
self.assertEqual(vtk_arr.GetValue(1), 1)
self.assertEqual(vtk_arr.GetValue(2), 0)
self.assertEqual(vtk_arr.GetValue(3), 1)
# Make sure the code at least runs for all
# numerical dtypes in numpy
# except for half, longdouble and complexfloating
int_types = ['byte', 'short', 'int', 'intc', 'int_', 'long', 'longlong']
uint_types = ['ubyte', 'ushort', 'uintc', 'uint', 'ulong',
'ulonglong']
float_types = ['single', 'double']
for dtype in int_types + uint_types + float_types:
array_handler.array2vtk(numpy.zeros((1,),
dtype=numpy.dtype(dtype)))
def test_arr2cell_array(self):
"""Test Numeric array to vtkCellArray conversion."""
# Test list of lists.
a = [[0], [1, 2], [3, 4, 5], [6, 7, 8, 9]]
cells = array_handler.array2vtkCellArray(a)
z = numpy.array([1, 0, 2, 1, 2, 3, 3, 4, 5, 4, 6, 7, 8, 9])
arr = array_handler.vtk2array(cells.GetData())
self.assertEqual(numpy.sum(arr - z), 0)
self.assertEqual(len(arr.shape), 1)
self.assertEqual(len(arr), 14)
# Test if optional argument stuff also works.
cells = vtk.vtkCellArray()
ident = id(cells)
cells = array_handler.array2vtkCellArray(a, cells)
self.assertEqual(id(cells), ident)
arr = array_handler.vtk2array(cells.GetData())
self.assertEqual(numpy.sum(arr - z), 0)
self.assertEqual(cells.GetNumberOfCells(), 4)
# Make sure this resets the cell array and does not add to the
# existing list!
cells = array_handler.array2vtkCellArray(a, cells)
self.assertEqual(cells.GetNumberOfCells(), 4)
# Test Numeric array handling.
N = 3
a = numpy.zeros((N,3), int)
a[:,1] = 1
a[:,2] = 2
cells = array_handler.array2vtkCellArray(a)
arr = array_handler.vtk2array(cells.GetData())
expect = numpy.array([3, 0, 1, 2]*3, int)
self.assertTrue(numpy.all(numpy.equal(arr, expect)))
self.assertEqual(cells.GetNumberOfCells(), N)
# Test if a list of Numeric arrays of different cell lengths works.
l_a = [a[:,:1], a, a[:2,:2]]
cells = array_handler.array2vtkCellArray(l_a)
arr = array_handler.vtk2array(cells.GetData())
expect = numpy.array([1, 0]*3 + [3, 0, 1, 2]*3 + [2, 0,1]*2, int)
self.assertTrue(numpy.all(numpy.equal(arr, expect)))
self.assertEqual(cells.GetNumberOfCells(), N*2 + 2)
# This should not take a long while. This merely tests if a
# million cells can be created rapidly.
N = int(1e6)
a = numpy.zeros((N,3), int)
a[:,1] = 1
a[:,2] = 2
cells = array_handler.array2vtkCellArray(a)
self.assertEqual(cells.GetNumberOfCells(), N)
def test_arr2vtkPoints(self):
"""Test Numeric array to vtkPoints conversion."""
a = [[0.0, 0.0, 0.0], [1.0, 1.0, 1.0]]
p = array_handler.array2vtkPoints(a)
self.assertEqual(p.GetPoint(0), (0.0, 0.0, 0.0))
self.assertEqual(p.GetPoint(1), (1.0, 1.0, 1.0))
p = vtk.vtkPoints()
ident = id(p)
p = array_handler.array2vtkPoints(numpy.array(a), p)
self.assertEqual(p.GetPoint(0), (0.0, 0.0, 0.0))
self.assertEqual(p.GetPoint(1), (1.0, 1.0, 1.0))
self.assertEqual(id(p), ident)
self.assertRaises(AssertionError, array_handler.array2vtkPoints,
[0.0, 1.0])
self.assertRaises(AssertionError, array_handler.array2vtkPoints,
[0.0, 1.0, 1.0])
def test_arr2vtkIdList(self):
"""Test array to vtkIdList conversion."""
a = [1, 2, 3, 4, 5]
p = array_handler.array2vtkIdList(a)
for i, j in enumerate(a):
self.assertEqual(p.GetId(i), j)
p = vtk.vtkIdList()
ident = id(p)
p = array_handler.array2vtkIdList(numpy.array(a), p)
for i, j in enumerate(a):
self.assertEqual(p.GetId(i), j)
self.assertEqual(id(p), ident)
self.assertRaises(AssertionError, array_handler.array2vtkIdList,
[[1,2,3]])
def test_get_correct_sig(self):
"""Test multiple signature cases that have array arguments."""
obj = tvtk_base.TVTKBase(vtk.vtkIdTypeArray)
sigs = [ None,
[['vtkDataArray']],
[['int', 'vtkIdList']],
[['int', 'vtkPoints'], ['int', 'int']],
[['int', 'vtkPoints'], ['int']],
[['int'], ['int', 'vtkPoints']],
[['int', 'vtkDataArray'], ['int', 'int']],
[['int', 'vtkDataArray'], ['int', 'int']],
[['vtkIdList', 'vtkCellArray'], ['int', 'vtkPoints'],
['int', 'vtkDataArray']],
[['vtkIdList', 'vtkCellArray'], ['int', 'vtkPoints'],
['int', 'vtkDataArray']],
[['vtkIdTypeArray', 'vtkCellArray'], ['int', 'vtkPoints'],
['int', 'vtkDataArray']],
[['vtkIdTypeArray', 'vtkCellArray'], ['int', 'vtkPoints'],
['int', 'vtkDataArray']],
[['vtkIdTypeArray', 'vtkCellArray'], ['int', 'vtkPoints'],
['int', ('float', 'float', 'float')]],
]
args = [ [1], # No sig info.
['foo'], # One sig.
[1], # One sig.
[1], # Error
[1], # Only one valid sig.
[1,[1,1,1]], # Only one valid sig.
[1, [1,1,1]], # Multiple valid sigs.
[1,1], # No arrays!
[1,1], # No match so returns None.
[1, [1,1,1]], # ambiguous, pick first match.
[numpy.array([1,1]), [1,1,1]], # Match!
[obj, [2,1,2,3]], # TVTK array object, match.
[[2,1,2,3], obj], # TVTK array object, match but has
# wrong argument. Should be caught
# by VTK.
]
res = [ None,
['vtkDataArray'],
['int', 'vtkIdList'],
TypeError,
['int'],
['int', 'vtkPoints'],
['int', 'vtkDataArray'],
None,
None,
['int', 'vtkPoints'],
['vtkIdTypeArray', 'vtkCellArray'],
['vtkIdTypeArray', 'vtkCellArray'],
['vtkIdTypeArray', 'vtkCellArray'],
]
for i in range(len(sigs)):
if res[i] is TypeError:
self.assertRaises(res[i], array_handler.get_correct_sig,
args[i], sigs[i])
else:
s = array_handler.get_correct_sig(args[i], sigs[i])
self.assertEqual(s, res[i])
def test_deref_array(self):
"""Test if dereferencing array args works correctly."""
sigs = [[['vtkDataArray']],
[['vtkFloatArray']],
[['vtkCellArray']],
[['vtkPoints']],
[['int', 'vtkIdList']],
[['int', ('float', 'float'), 'vtkDataArray']],
[['Prop', 'int', 'vtkDataArray']],
[['Points', ('float', 'float', 'float')]]
]
args = [[[1,2,3]],
[[0,0,0]],
[[[1,2,3],[4,5,6]]],
[[[0.,0.,0.], [1.,1.,1.]]],
[1, [1,2,3]],
[1, (0.0, 0.0), [1.0, 1.0, 1.0]],
[Prop(), 1, numpy.array([1.0, 1.0, 1.0])],
[[[1,2,3]], [1,2,3]]
]
r = array_handler.deref_array(args[0], sigs[0])
self.assertEqual(mysum(array_handler.vtk2array(r[0]) -args[0]), 0)
r = array_handler.deref_array(args[1], sigs[1])
self.assertEqual(mysum(array_handler.vtk2array(r[0]) - args[1]), 0)
r = array_handler.deref_array(args[2], sigs[2])
self.assertEqual(r[0].GetNumberOfCells(), 2)
r = array_handler.deref_array(args[3], sigs[3])
self.assertEqual(mysum(array_handler.vtk2array(r[0].GetData()) -
numpy.array(args[3], 'f')), 0)
r = array_handler.deref_array(args[4], sigs[4])
self.assertEqual(r[0], 1)
self.assertEqual(r[1].__class__.__name__, 'vtkIdList')
r = array_handler.deref_array(args[5], sigs[5])
self.assertEqual(r[0], 1)
self.assertEqual(r[1], (0.0, 0.0))
self.assertEqual(mysum(array_handler.vtk2array(r[2]) -args[5][2]), 0)
r = array_handler.deref_array(args[6], sigs[6])
self.assertEqual(r[0].IsA('vtkProperty'), True)
self.assertEqual(r[1], 1)
self.assertEqual(mysum(array_handler.vtk2array(r[2]) -args[6][2]), 0)
r = array_handler.deref_array(args[7], sigs[7])
def test_reference_to_array(self):
"""Does to_array return an existing array instead of a new copy."""
arr = numpy.arange(0.0, 10.0, 0.1)
arr = numpy.reshape(arr, (25, 4))
vtk_arr = array_handler.array2vtk(arr)
arr1 = array_handler.vtk2array(vtk_arr)
# Now make sure these are using the same memory.
arr[0][0] = 100.0
self.assertEqual(arr[0][0], arr1[0][0])
self.assertEqual(arr.shape, arr1.shape)
def test_array_cache(self):
"""Test the ArrayCache class."""
cache = array_handler.ArrayCache()
# Test if len works.
self.assertEqual(len(cache), 0)
arr = numpy.zeros(100, float)
varr = vtk.vtkFloatArray()
# test contains
self.assertEqual(varr not in cache, True)
cache.add(varr, arr)
self.assertEqual(len(cache), 1)
self.assertEqual(varr in cache, True)
# Test the get method.
self.assertEqual(cache.get(varr) is arr, True)
# Test if the cache is cleared when the array is deleted.
del varr
self.assertEqual(len(cache), 0)
def test_vtk2array_appended_array(self):
"""Test the vtk2array can tolerate appending a cached array."""
# array is cached upon array2vtk is called
arr = numpy.arange(8).reshape(2, 4)
vtk_arr = array_handler.array2vtk(arr)
arr1 = array_handler.vtk2array(vtk_arr)
# the vtk array is appended, shapes don't match cached array anymore
extra_row = (1, 2, 3, 4)
vtk_arr.InsertTuple4(2, *extra_row)
# arr2 has a different shape
arr2 = array_handler.vtk2array(vtk_arr)
self.assertEqual(arr2.shape, (3, 4))
# check values
expected = numpy.vstack((arr, numpy.array(extra_row)))
self.assertEqual(numpy.sum(arr2 - expected), 0)
def test_id_array(self):
"""Test if a vtkIdTypeArray is converted correctly."""
arr = vtk.vtkIdTypeArray()
arr.SetNumberOfTuples(10)
for i in range(10):
arr.SetValue(i, i)
np = array_handler.vtk2array(arr)
self.assertEqual(numpy.all(np == list(range(10))), True)
if __name__ == "__main__":
unittest.main()
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