def check_url(url):
""" Checks if the url is a valid wikipedia page """
if url[:30] == 'https://en.wikipedia.org/wiki/' and len(url) > 30:
warning.grid_remove()
pos_dict = {}
pos_dict['pronouns'] = pro_var.get()
pos_dict['conjunctions'] = con_var.get()
pos_dict['prepositions'] = pre_var.get()
pos_dict['articles'] = art_var.get()
graph.main(url, pos_dict)
else:
warning.grid()
def main():
"""Runs all PyMPL examples."""
print "equivknapsack:"
equivknapsack.main()
print "equivknapsack01:"
equivknapsack01.main()
print "graph:"
graph.main()
print "instance:"
instance.main()
def main():
quit = -1
while quit < 0:
print "-" * 30 + " Project 1 " + "-" * 30
# print "Choose:"
print "\n\n For a: \n 1: Graph Figure 7.16 in [GT] page 364 \n Default values (from = 'BWI', to = ['SFO','LAX']) \n\n For b: \n 2: MC with (3,2) \n 3: MC with (4,3) \n\n To Quit: \n 4: quit\n\n"
choice = input('Enter your choise: ')
if choice == 4:
quit = 1
elif choice == 3:
mc.main(4, 3)
elif choice == 2:
mc.main(3, 2)
elif choice == 1:
gr.main()
def test():
net.eval()
testloss = 0
correct = 0
for data, target in testloader:
data= data.cuda()
target= target.cuda()
outputs=net(data)
testloss += F.nll_loss(outputs, target, reduction='sum').item()
pred = outputs.argmax(dim=1, keepdim=True)
correct += pred.eq(target.view_as(pred)).cpu().sum().item()
loss= testloss/len(testloader.dataset)
print('\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\n'.format(
loss, correct, len(testloader.dataset),
100. * correct / len(testloader.dataset)))
graph.append2y(100. * correct / len(testloader.dataset))
if graph.showgraph==True:
graph.main()
elif showgraph==True:
graph.showgraph=True
def industryGraph(industry):
print industry
if 'subgraphs' in request.args:
subgraphs = request.args["subgraphs"]
subgraphs = int(subgraphs)
industry = industry.replace("_"," ")
response = gpy.main(industry,conn, subgraphs)
file = industry.replace(" ", "_") + "_" + str(subgraphs) + ".json"
with open(file, "wb") as f:
json.dump(response, f)
return json.dumps(response, ensure_ascii=False)
else:
return "PLEASE ADD AN INDUSTRY ARGUMENT"
os.system("rm -f label_prop_output.txt")
if i == 1:
os.system("junto config simple_config")
else:
os.system("touch dump")
os.system("junto config simple_config > dump")
print '+--- output for part', i, 'generated'
#return to main STEP dir for next parts
os.chdir("..")
nope = (5, 10, 12, 18, 22, 24)
# i is the iterator to run all parts
print '+--- Initiate Graph Generation ---+\n'
for i in range(1, 31):
#part removed
if i in nope:
print '\npart', i, 'ignored\n'
continue
else:
#use input for graph
print '\nRunning part', i, '\n'
graph.main(i)
merge.main(i)
print 'Part', i, 'graph generated\n'
juntofy(i)
time.sleep(0.5)
old_time, oldres = read_stats(-opt_diff)
else:
stats_time, res = read_stats(-delta)
if opt_diff:
old_time, oldres = read_stats(-delta-opt_diff)
keys = res.keys()
keys.sort(lambda x,y: cmp(res[y][3]+2*res[y][4],res[x][3]+2*res[x][4]))
if opt_write:
f = open(os.path.expanduser("~/public_html/data/new_stats.py"),"a")
f.write(repr( (time.time() , res ) ) +"\n")
f.close()
write_templates(res)
import graph
graph.main()
else:
if opt_diff:
diffs = {}
for i in res.keys() :
if not i in oldres.keys(): oldres[i] = (0,0,0,0,0,0,1,0)
diffs[i] = ( res[i][0] - oldres[i][0], \
res[i][1] - oldres[i][1], \
res[i][2] - oldres[i][2], \
res[i][3] - oldres[i][3], \
res[i][4] - oldres[i][4], \
res[i][5] - oldres[i][5], \
res[i][6] - oldres[i][6], \
res[i][7] - oldres[i][7] )
total = total_q0 = total_q1 = total_q2 = total_q3 = total_q4 = 0
import request_and_store
import Calculate
import graph
import translation
if __name__ == "__main__":
language = input("Language choice: ")
abr = translation.lang_abr(language)
product = input(
translation.translateText(
abr,
"Type of food you are looking for (Ex. pork, beef, fish, etc.): "))
mode = input(
translation.translateText(
abr,
"What do you care about the most? 1 for calories, 2 for cost, 3 for nutritients: "
))
product = translation.translateText("en", product)
while True:
if mode != "1" and mode != "2" and mode != "3":
mode = input("Invalid mode! Try again:")
else:
break
request_and_store.main(product)
Calculate.calculate_cost_and_write(abr, product)
graph.main(mode, product)
old_time, oldres = read_stats(-opt_diff)
else:
stats_time, res = read_stats(-delta)
if opt_diff:
old_time, oldres = read_stats(-delta-opt_diff)
keys = res.keys()
keys.sort(lambda x,y: cmp(res[y][3]+2*res[y][4],res[x][3]+2*res[x][4]))
if opt_write:
f = open(os.path.expanduser("~/public_html/data/new_stats.py"),"a")
f.write(repr( (time.time() , res ) ) +"\n")
f.close()
write_templates(res)
import graph
graph.main()
else:
if opt_diff:
diffs = {}
for i in res.keys() :
if not i in oldres.keys(): oldres[i] = (0,0,0,0,0,0,1,0)
diffs[i] = ( res[i][0] - oldres[i][0], \
res[i][1] - oldres[i][1], \
res[i][2] - oldres[i][2], \
res[i][3] - oldres[i][3], \
res[i][4] - oldres[i][4], \
res[i][5] - oldres[i][5], \
res[i][6] - oldres[i][6], \
res[i][7] - oldres[i][7] )
total = total_q0 = total_q1 = total_q2 = total_q3 = total_q4 = 0
def run():
global entry
ign = entry.get()
graph.main(ign)
acc.append((speed[-1] - speed[-2]) / delta)
else:
speed.append(float('nan'))
acc.append(float('nan'))
def listener():
rospy.init_node('listener', anonymous=True, disable_signals=True)
rospy.Subscriber("/odom", Odometry, odometryCb)
rospy.spin()
class MyDataset(graph.Dataset):
def __init__(self, title, x, y):
super(MyDataset, self).__init__(title, x, y)
def range(self):
if len(self.x) >= shown_time * odom_rate:
return (self.x[-1] - shown_time, self.x[-1])
else:
return (self.x[0], self.x[-1])
if __name__ == '__main__':
thread.start_new_thread(listener, ())
datasets = [
MyDataset("Speed", ticks, speed),
MyDataset("Acceleration", ticks, acc),
]
graph.main("ROS Monitor", datasets, mutex)
from graph import main
import mpld3
import matplotlib.pyplot as plt
from pathlib import Path
output_path = Path('RESULTS')
output_path.mkdir(exist_ok=True)
plot = main(style='default',
show_bounds=False,
linewidth=2,
dpi=100,
size=[16, 15])
mpld3.save_html(plot[1][0],
str(output_path / Path('abs_freq.html')),
template_type='simple')
mpld3.save_html(plot[1][1],
str(output_path / Path('rel_freq.html')),
template_type='simple')
plt.close("all")
plot = main(style='dark_background',
show_bounds=True,
linewidth=0.75,
dpi=100,
size=[16, 15])
plot[1][0].savefig(str(output_path / Path('abs_freq.png')))
plot[1][1].savefig(str(output_path / Path('rel_freq.png')))
plot[0].show()
