| from surfer import Brain | |
| brain = Brain('fsaverage', 'lh', 'inflated') | |
| #normal lateral view | |
| brain.show_view('l') | |
| #normal dorsal view | |
| brain.show_view('d') |
| # given a vector | |
| a = [ 16738, 24500, 45000, 67000]; | |
| #how can I do this in numpy efficiently? | |
| b = [] | |
| for ia = a | |
| b = [b ia-60:ia+300]; | |
| end |
| import pandas as pd | |
| F = '/fs0/New_Server/RC_LMS/In_Behavioral/028_207757/PassagesV2_ListA-7757-1.txt' | |
| def parse(f): | |
| data = {} | |
| text = open(f).read().decode('utf-16').replace('\r\n', '\r').splitlines() | |
| start_ind = (i for i, _ in enumerate(text) if _ == '\t\t*** LogFrame Start ***') | |
| end_ind = (i for i, _ in enumerate(text) if _ == '\t\t*** LogFrame End ***') |
| from apscheduler.scheduler import Scheduler | |
| from my_module import do_work_often, do_some_more_work | |
| sched = Scheduler() | |
| @sched.interval_schedule(hours=1) | |
| def first_job(): | |
| do_work_often() |
One of my packages (redcap) is a service-specific wrapper around the venerable requests. requests exposes the HTTPError exception that is raised e.g. when r.raise_for_status() is called on a 400 response.
Since users of my package might want to catch HTTPErrors, what is the best way to design my API?