utils: raspberrypi: ctt: Fix pycodestyle E228

E228 missing whitespace around modulo operator

Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
Reviewed-by: David Plowman <david.plowman@raspberrypi.com>
This commit is contained in:
Laurent Pinchart 2020-05-02 03:32:00 +03:00
parent 641c6ebe9b
commit 863e31fa52
5 changed files with 20 additions and 20 deletions

View file

@ -61,10 +61,10 @@ def alsc_all(Cam, do_alsc_colour, plot):
"""
force numbers to be stored to 3dp.... :(
"""
t_r = np.where((100*t_r)%1 <= 0.05, t_r+0.001, t_r)
t_b = np.where((100*t_b)%1 <= 0.05, t_b+0.001, t_b)
t_r = np.where((100*t_r)%1 >= 0.95, t_r-0.001, t_r)
t_b = np.where((100*t_b)%1 >= 0.95, t_b-0.001, t_b)
t_r = np.where((100*t_r) % 1 <= 0.05, t_r+0.001, t_r)
t_b = np.where((100*t_b) % 1 <= 0.05, t_b+0.001, t_b)
t_r = np.where((100*t_r) % 1 >= 0.95, t_r-0.001, t_r)
t_b = np.where((100*t_b) % 1 >= 0.95, t_b-0.001, t_b)
t_r = np.round(t_r, 3)
t_b = np.round(t_b, 3)
r_corners = (t_r[0], t_r[15], t_r[-1], t_r[-16])
@ -95,8 +95,8 @@ def alsc_all(Cam, do_alsc_colour, plot):
average all values for luminance shading and return one table for all temperatures
"""
lum_lut = np.mean(list_cg, axis=0)
lum_lut = np.where((100*lum_lut)%1 <= 0.05, lum_lut+0.001, lum_lut)
lum_lut = np.where((100*lum_lut)%1 >= 0.95, lum_lut-0.001, lum_lut)
lum_lut = np.where((100*lum_lut) % 1 <= 0.05, lum_lut+0.001, lum_lut)
lum_lut = np.where((100*lum_lut) % 1 >= 0.95, lum_lut-0.001, lum_lut)
lum_lut = list(np.round(lum_lut, 3))
"""

View file

@ -183,10 +183,10 @@ def awb(Cam, cal_cr_list, cal_cb_list, plot):
"""
round to 4dp
"""
r_fit = np.where((1000*r_fit)%1 <= 0.05, r_fit+0.0001, r_fit)
r_fit = np.where((1000*r_fit)%1 >= 0.95, r_fit-0.0001, r_fit)
b_fit = np.where((1000*b_fit)%1 <= 0.05, b_fit+0.0001, b_fit)
b_fit = np.where((1000*b_fit)%1 >= 0.95, b_fit-0.0001, b_fit)
r_fit = np.where((1000*r_fit) % 1 <= 0.05, r_fit+0.0001, r_fit)
r_fit = np.where((1000*r_fit) % 1 >= 0.95, r_fit-0.0001, r_fit)
b_fit = np.where((1000*b_fit) % 1 <= 0.05, b_fit+0.0001, b_fit)
b_fit = np.where((1000*b_fit) % 1 >= 0.95, b_fit-0.0001, b_fit)
r_fit = np.round(r_fit, 4)
b_fit = np.round(b_fit, 4)
"""
@ -326,7 +326,7 @@ def get_alsc_patches(Img, colour_cals, grey=True):
if img colour is below minimum or above maximum alsc calibration colour, simply
pick extreme closest to img colour
"""
if pos%(len(cts)) == 0:
if pos % len(cts) == 0:
"""
this works because -0 = 0 = first and -1 = last index
"""

View file

@ -135,8 +135,8 @@ def ccm(Cam, cal_cr_list, cal_cb_list):
"""
for k, v in ccm_tab.items():
tab = np.mean(v, axis=0)
tab = np.where((10000*tab)%1 <= 0.05, tab+0.00001, tab)
tab = np.where((10000*tab)%1 >= 0.95, tab-0.00001, tab)
tab = np.where((10000*tab) % 1 <= 0.05, tab+0.00001, tab)
tab = np.where((10000*tab) % 1 >= 0.95, tab-0.00001, tab)
ccm_tab[k] = list(np.round(tab, 5))
Cam.log += '\nMatrix calculated for colour temperature of {} K'.format(k)

View file

@ -112,10 +112,10 @@ class Image:
"""
assemble 10 bit numbers
"""
ch0 = np.left_shift((np.left_shift(ba0, 2) + (ba4%4)), 6)
ch1 = np.left_shift((np.left_shift(ba1, 2) + (np.right_shift(ba4, 2)%4)), 6)
ch2 = np.left_shift((np.left_shift(ba2, 2) + (np.right_shift(ba4, 4)%4)), 6)
ch3 = np.left_shift((np.left_shift(ba3, 2) + (np.right_shift(ba4, 6)%4)), 6)
ch0 = np.left_shift((np.left_shift(ba0, 2) + (ba4 % 4)), 6)
ch1 = np.left_shift((np.left_shift(ba1, 2) + (np.right_shift(ba4, 2) % 4)), 6)
ch2 = np.left_shift((np.left_shift(ba2, 2) + (np.right_shift(ba4, 4) % 4)), 6)
ch3 = np.left_shift((np.left_shift(ba3, 2) + (np.right_shift(ba4, 6) % 4)), 6)
"""
interleave bits
"""
@ -146,8 +146,8 @@ class Image:
ba0 = raw[..., 0:3*((self.w+1)>>1):3]
ba1 = raw[..., 1:3*((self.w+1)>>1):3]
ba2 = raw[..., 2:3*((self.w+1)>>1):3]
ch0 = np.left_shift((np.left_shift(ba0, 4) + ba2%16), 4)
ch1 = np.left_shift((np.left_shift(ba1, 4) + (np.right_shift(ba2, 4))%16), 4)
ch0 = np.left_shift((np.left_shift(ba0, 4) + ba2 % 16), 4)
ch1 = np.left_shift((np.left_shift(ba1, 4) + (np.right_shift(ba2, 4)) % 16), 4)
mat = np.empty((self.h, self.w), dtype=ch0.dtype)
mat[..., 0::2] = ch0
mat[..., 1::2] = ch1

View file

@ -53,7 +53,7 @@ argument parser
"""
def parse_input():
arguments = sys.argv[1:]
if len(arguments)%2 != 0:
if len(arguments) % 2 != 0:
raise ArgError('\n\nERROR! Enter value for each arguent passed.')
params = arguments[0::2]
vals = arguments[1::2]