Salas leVirve

ls

dir/file

Code repo:

	import socketserver
	from threading import Thread


	class service(socketserver.BaseRequestHandler):

	def handle(self):
	while True:
	self.data = self.request.recv(1024).strip()
	if not self.data:

	import socket
	import sys

	HOST, PORT = "localhost", 5566

	sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

	try:
	sock.connect((HOST, PORT))
	for data in sys.stdin:

	data = {
	"0000": ["跨系學士班", "跨系學士班"],
	"0008": ["跨系博士班", "跨系博士班"],
	"0015": ["先進光源科技學位學程物理組碩士班", "先進光源科技學位學程"],
	"0016": ["先進光源科技學位學程工科組碩士班", "先進光源科技學位學程"],
	"0018": ["先進光源科技學位學程博士班", "先進光源科技學位學程"],
	"0025": ["學習科學研究所碩士班", "學習科學研究所"],
	"0100": ["原科院學士班", "原科院學士班"],
	"0111": ["工程與系統科學系清班", "工程與系統科學系"],
	"0112": ["工程與系統科學系華班", "工程與系統科學系"],

	import os
	import sys
	import httplib2
	from apiclient.discovery import build
	from oauth2client.client import flow_from_clientsecrets
	from oauth2client.file import Storage
	from oauth2client.tools import argparser, run_flow


	# The CLIENT_SECRETS_FILE variable specifies the name of a file that contains

	KeeFox-FAMS-NotifyBar-A-Donate-Button.key= D
	KeeFox-FAMS-NotifyBar-A-Donate-Button.label= Donate now
	KeeFox-FAMS-NotifyBar-A-LearnMore-Button.key= L
	KeeFox-FAMS-NotifyBar-A-LearnMore-Button.label= Learn more
	KeeFox-FAMS-NotifyBar-A-Rate-Button.key= R
	KeeFox-FAMS-NotifyBar-A-Rate-Button.label= Rate KeeFox now
	KeeFox-FAMS-NotifyBar-A-VisitSite-Button.key= G
	KeeFox-FAMS-NotifyBar-A-VisitSite-Button.label= Go to site
	KeeFox-FAMS-NotifyBar-DoNotShowAgain-Button.key= N
	KeeFox-FAMS-NotifyBar-DoNotShowAgain-Button.label= Don't show message again

	CFLAGS = -std=c11 -O3
	CPPFLAGS = -O3
	LOGFLAGS = -D_DEBUG -D_INFO -D_FILE_DEBUG
	OUTPUT = debug_job.* judge_out_* .o .result

	all: clean advanced submit

	basic:
	mpicc -o basic.o basic.c $(CFLAGS) $(LOGFLAGS)

	#! /usr/bin/python
	"""
	Run this script with below command! (y)
	$> nohup ./src/jobs.py > jobs_py.stdout 2> jobs_py.stderr < /dev/null &
	"""
	import re
	import time
	import subprocess

	job_format = """

	optns = statset('MaxIter', iters);
	pixels = reshape(img(:), [], 3);

	[idxs, centroids] = kmeans(pixels, k, 'options', optns);

	img_map = centroids(idxs, :);
	img_new = reshape(img_map(:), size(img));

	imshow(img_new);