code stringlengths 3 6.57k |
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ownpow(V_IN-V_EX,1/3) |
np.mean(s_norm[IN_lobe_img==8]) |
np.mean(s_norm[IN_lobe_img==16]) |
np.mean(s_norm[IN_lobe_img==32]) |
np.mean(s_norm[IN_lobe_img==64]) |
np.mean(s_norm[IN_lobe_img==128]) |
np.std(s_norm[IN_lobe_img==8]) |
np.std(s_norm[IN_lobe_img==16]) |
np.std(s_norm[IN_lobe_img==32]) |
np.std(s_norm[IN_lobe_img==64]) |
np.std(s_norm[IN_lobe_img==128]) |
np.std(s_norm[IN_lobe_img!=0]) |
np.float16([s_norm_l0,s_norm_l1,s_norm_l2,s_norm_l3,s_norm_l4,s_norm_mean]) |
np.float16([s_norm_l0_sd,s_norm_l1_sd,s_norm_l2_sd,s_norm_l3_sd,s_norm_l4_sd,s_norm_sd]) |
np.float16([s_norm_l0_cv,s_norm_l1_cv,s_norm_l2_cv,s_norm_l3_cv,s_norm_l4_cv,s_norm_cv]) |
save(s_norm,s_norm_img_path,hdr=s_norm_h) |
s_norm_stat.to_csv(s_norm_stat_path, index=False, sep=' ') |
time.time() |
print(f'Elapsed time: {end-start}s') |
cv.imread('nabeel.jpg',0) |
cv.imread('nabeel_train.jpg',0) |
print(img1.shape) |
faceID() |
print("constructor finished") |
getCroppedImage(rec,crop_img_2) |
print(img1.shape) |
cv.resize(img1,(100,100) |
print(img1.shape) |
rec.prewhiten2(img1) |
print(img1.shape) |
print("whiten finished") |
rec.getEmbed(img1) |
print("embedding finished") |
make_review('A', 3) |
make_review('B', 4) |
make_review('C', 1) |
make_review('A', 4) |
make_review('A', 4) |
make_review('B', 5) |
make_review('C', 2) |
make_review('D', 2.5) |
make_review('D', 3.5) |
restaurant_name(r) |
rate_all(user, to_rate, fns) |
type(ratings) |
len(ratings) |
user (should be an integer) |
round(ratings['D'], 5) |
rating (should be a decimal) |
make_review('A', 3) |
make_review('B', 4) |
make_review('C', 1) |
make_review('A', 4) |
make_review('A', 4) |
make_review('B', 5) |
make_review('C', 2) |
make_review('D', 2.5) |
make_review('D', 3.5) |
rate_all(user, to_rate, fns) |
type(ratings) |
len(ratings) |
user (should be an integer) |
round(ratings['D'], 5) |
rating (should be a decimal) |
test.swap_implementations(recommend) |
test.restore_implementations(recommend) |
Github("username", "password") |
g.get_user() |
me.get_starred() |
print("Unstarring", repo) |
me.remove_from_starred(repo) |
time.sleep(1 + random.random() |
main() |
argparse.ArgumentParser() |
parser.add_argument('tarfile', nargs='?', help='targer file') |
parser.add_argument("-d", "--dry_run", action="store_true", help="dry run") |
parser.parse_args() |
pack_non_conda_package(opt) |
pack_non_conda_package(opt) |
update_shebang.update_python_env('./bin/') |
main() |
__init__(self,channel,min_theta,max_theta,init_theta=0) |
if(min_theta<0 or min_theta>180) |
if(max_theta<0 or max_theta>180) |
if(init_theta<min_theta or init_theta>max_theta) |
setup(self) |
GPIO.setmode(GPIO.BCM) |
GPIO.setwarnings(False) |
GPIO.setup(self.channel,GPIO.OUT) |
GPIO.PWM(self.channel,Rotation.frequency) |
self.pwm.start(self.dutycycle) |
time.sleep(Rotation.max_delay) |
positiveRotation(self) |
self.pwm.ChangeDutyCycle(self.dutycycle) |
time.sleep(Rotation.min_delay) |
reverseRotation(self) |
self.pwm.ChangeDutyCycle(self.dutycycle) |
time.sleep(Rotation.min_delay) |
specifyRotation(self,theta) |
if(theta<0 or theta>180) |
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