That error message is a generic one normally associated with memory issues or file path issues when working with raster data. (search on error 010240 to see what I mean) But your array is only 10 bands with 148x160 in size, so that shouldn't be an issue...
I would suggest saving the file to a shorter path as a first step.
Secondly, try saving one of the bands to a new shorter path.
Third, you could definitely have something wrong with one of the bands that is producing garbage in the final array, so you might want to throw in some print statements
Finally create this 10 band raster and see if you can save it
>>> import numpy as np
>>> np.set_printoptions(edgeitems=2,linewidth=80,precision=2,
... suppress=True,threshold=20,
... formatter={'float': '{: 0.3f}'.format})
>>>
>>> a = np.arange(10*5*6).reshape(10,5,6)
>>> a
array([[[ 0, 1, ..., 4, 5],
[ 6, 7, ..., 10, 11],
...,
[ 18, 19, ..., 22, 23],
[ 24, 25, ..., 28, 29]],
[[ 30, 31, ..., 34, 35],
[ 36, 37, ..., 40, 41],
...,
[ 48, 49, ..., 52, 53],
[ 54, 55, ..., 58, 59]],
...,
[[240, 241, ..., 244, 245],
[246, 247, ..., 250, 251],
...,
[258, 259, ..., 262, 263],
[264, 265, ..., 268, 269]],
[[270, 271, ..., 274, 275],
[276, 277, ..., 280, 281],
...,
[288, 289, ..., 292, 293],
[294, 295, ..., 298, 299]]])
Some test results that you can also run on yours
>>> a = np.arange(10*5*6).reshape(10,5,6)
>>> a[0]
array([[ 0, 1, 2, 3, 4, 5],
[ 6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29]])
>>> a[-1]
array([[270, 271, 272, 273, 274, 275],
[276, 277, 278, 279, 280, 281],
[282, 283, 284, 285, 286, 287],
[288, 289, 290, 291, 292, 293],
[294, 295, 296, 297, 298, 299]])
>>> np.mean(a,axis=0)
array([[ 135., 136., 137., 138., 139., 140.],
[ 141., 142., 143., 144., 145., 146.],
[ 147., 148., 149., 150., 151., 152.],
[ 153., 154., 155., 156., 157., 158.],
[ 159., 160., 161., 162., 163., 164.]])
>>> np.ptp(a,axis=0)
array([[270, 270, 270, 270, 270, 270],
[270, 270, 270, 270, 270, 270],
[270, 270, 270, 270, 270, 270],
[270, 270, 270, 270, 270, 270],
[270, 270, 270, 270, 270, 270]])