pep8 coding style

observation_sim/instruments/chip/chip_utils.py

@@ -239,10 +239,10 @@ def get_base_img(img, chip, read_noise, readout_time, dark_noise, exptime=150.,
             with pkg_resources.path('observation_sim.instruments.data.ccd', histfile) as dark_histogram:
                 hist_dc = np.load(dark_histogram)
         hist = stats.rv_histogram((hist_dc['counts'], hist_dc['bins']), density=True)
-        xsize= chip.npix_x
-        ysize= chip.npix_y
+        xsize = chip.npix_x
+        ysize = chip.npix_y
         seed = chip.chipID
-        samples= hist.rvs(size=xsize*ysize, random_state=seed)
+        samples = hist.rvs(size=xsize*ysize, random_state=seed)
         map_dc = np.reshape(samples, [ysize, xsize])
         base_img1 = map_dc*exptime
 
@@ -251,10 +251,10 @@ def get_base_img(img, chip, read_noise, readout_time, dark_noise, exptime=150.,
         map_temp[:, :xsize] = map_dc[:ysize//2, :]
         map_temp[:, xsize:] = map_dc[:ysize//2-1:-1, :]
 
-        dt= readout_time/(ysize/2.)
+        dt = readout_time/(ysize/2.)
         A = map_temp
-        A_adjusted= np.vstack([np.zeros((1, A.shape[1])), A[:-1]])
-        cumsum_A  = np.cumsum(A_adjusted, axis=0)
+        A_adjusted = np.vstack([np.zeros((1, A.shape[1])), A[:-1]])
+        cumsum_A = np.cumsum(A_adjusted, axis=0)
         B = cumsum_A * dt
         base_img2 = np.vstack([B[:, :xsize], B[::-1, xsize:]])
         del hist_dc
@@ -274,8 +274,7 @@ def add_poisson(img, chip, exptime=150., seed=0, sky_level=0., poisson_noise=Non
     read_noise = chip.read_noise
     if dark_noise is None:
         dark_noise = chip.dark_noise
-    base_img, map_dc = get_base_img(img=img, chip=chip, read_noise=read_noise, readout_time=chip.readout_time,
-                            dark_noise=dark_noise, exptime=exptime, InputDark=InputDark)
+    base_img, map_dc = get_base_img(img=img, chip=chip, read_noise=read_noise, readout_time=chip.readout_time, dark_noise=dark_noise, exptime=exptime, InputDark=InputDark)
     img += base_img
     img.addNoise(poisson_noise)
     # img -= read_noise**2