Generate a 2 x 4 array of ints between 0 and 4, inclusive:

>>> np.random.randint(5, size=(2, 4))

array([[4, 0, 2, 1],

[3, 2, 2, 0]])

see http://docs.scipy.org/doc/numpy/reference/generated/numpy.random.randint.html

## Evenly spaced values for an interval

Specfiy number of segments

`numpy.``linspace`(*start*, *stop*, *num=50*, *endpoint=True*, *retstep=False*) numpy.linspace reference

Return evenly spaced numbers over a specified interval.

May include stop value (endpoint = True)

### Specify step interval size

`numpy.``arange`([*start*], *stop*[, *step*], *dtype=None*) numpy.arange reference

Return evenly spaced values within a given interval.

### Create Sample Positions for pixels

def genPixelSamples(width, height, numWidth, numHeight, midPoint = True):

“if midPoint = true, sample is positioned at pixel center, else in the corner”

“output with y in 0 and x in 1 of 3rd dimension”

output = np.zeros([numHeight, numWidth, 2])

#y

output[:,:,0] = np.outer( np.linspace(0, height, numHeight, False), np.ones([numWidth]) );

#x

output[:,:,1] = np.outer( np.ones([numHeight]), np.linspace(0, width, numWidth, False) );

if midPoint:

output[:,:] += 0.5 * output[1,1]

return output