I have a simple test script here that multiplies an ndarray subclass with
another number. Can anyone help me understand why each of these combinations
returns a new instance of MyArray:
mine = MyArray()
print type(np.float32(1)*mine)
print type(mine*np.float32(1))
print type(mine*np.float64(1))
print type(1*mine)
print type(mine*1)
but this one returns a np.float64 instance?
print type(np.float64(1)*mine)
Here is the full script:
import numpy as np
class MyArray(np.ndarray):
__array_priority__ = 20
def __new__(cls):
return np.asarray(1).view(cls).copy()
def __repr__(self):
return 'my_array'
__str__ = __repr__
def __mul__(self, other):
return super(MyArray, self).__mul__(other)
def __rmul__(self, other):
return super(MyArray, self).__rmul__(other)
mine = MyArray()
print type(np.float32(1)*mine)
print type(mine*np.float32(1))
print type(mine*np.float64(1))
print type(1*mine)
print type(mine*1)
print type(np.float64(1)*mine)
Thanks,
Darren
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