def test_NtNdArray(self):
print()
timeStamp = TestUtility.getTimeStamp()
id = random.randint(0, 100000)
nx = 1024
ny = 1024
nda = NtNdArray()
nda['uniqueId'] = id
dims = [
PvDimension(nx, 0, nx, 1, False),
PvDimension(ny, 0, ny, 1, False)
]
nda['codec'] = PvCodec('pvapyc', PvInt(14))
nda['dimension'] = dims
nda['descriptor'] = 'PvaPy Simulated Image'
nda['compressedSize'] = nx * ny
nda['uncompressedSize'] = nx * ny
nda['timeStamp'] = timeStamp
nda['dataTimeStamp'] = timeStamp
attrs = [NtAttribute('ColorMode', PvInt(0))]
nda['attribute'] = attrs
value = np.random.randint(0, 256, size=nx * ny, dtype=np.uint8)
nda['value'] = {'ubyteValue': value}
value2 = nda['value'][0]['ubyteValue']
print('Comparing image arrays {} to {}'.format(value2, value))
assert (np.array_equiv(value, value2))
