[BUG] Fix bug in trimr when inclusive=False

[makbigc]

when inclusive=False, mstats.trimr runs into TypeError i.e., TypeError: slice indices must be integers or None or have an __index__ method.

import numpy.ma as ma
import scipy.stats.mstats as mstats

a = ma.arange(10)
mstats.trimr(a, limits=(0.15, 0.14), inclusive=(False, False)

[chrisb83]

result is a masked array, apparently the comparison in assert_equal with the list works. I did not check in the other Tests: is that the standard way to write the test cases for masked arrays?

[makbigc]

I follow the format in test_trim to write the present test.
assert_equal is stricter than other test utilities such as assert_almost_equal.

[pv]

iirc numpy test functions had stuff in them for masked array handling, and will cast inputs to ndarrays if either one is

[pv]

Actually, not exactly:

>>> x = np.ma.array([1,2,3,4,5], dtype=int, mask=[0,0,0,1,0])
>>> numpy.testing.assert_equal(x, [1,2,3,None,5])
>>> numpy.testing.assert_equal(x, [1,2,3,4,5])
>>> numpy.testing.assert_equal(x, [1,2,3,999,5])

It won't check that the mask is correct, so this test should check the mask separately (which some of the tests above do).

[pv]

Forgot set_trace here

[chrisb83]

Test looks good now, waiting for @pv to confirm