def wrapper(*args, **kwargs):
if args:
data = marshal(first(args), schema, before=True)
rmap = f(data, **kwargs)
body = marshal(rmap['body'], schema)
return merge(rmap, {'body': body})
else:
rmap = f(*args, **kwargs)
body = marshal(rmap['body'], schema)
return merge(rmap, {'body': body})
def direct_iti():
departurePoint = request.args.get('fromPlace', '')
depLat,depLon = parse_commas(departurePoint)
endPoint = request.args.get('toPlace', '')
endLat,endLon = parse_commas(endPoint)
if 'err' == depLat or 'err' == endLat:
return "Erreur Argument !"
itiList = []
iti = sendRequest(depLat, depLon, endLat, endLon, "toPark")
itiList.append(functions.merge([iti]))
return jsonify(results=itiList)
def route():
itiList = []
departurePoint = request.args.get('fromPlace', '')
depLat,depLon = parse_commas(departurePoint)
endPoint = request.args.get('toPlace', '')
endLat,endLon = parse_commas(endPoint)
if 'err' == depLat or 'err' == endLat:
return "Erreur Argument !"
parkingList = functions.closestParking(depLat, depLon)
for parking in parkingList:
park_iti = sendRequest(depLat, depLon, parking['posx'], parking['posy'], "toPark")
dest_iti = sendRequest(parking['posx'], parking['posy'], endLat, endLon)
itiList.append(functions.merge([park_iti, dest_iti]))
return jsonify(results=itiList)
original_data[original_data == 0.0000] = np.nan
original_data = torch.Tensor(original_data)
original_data = normalize_series(original_data,
mean_pose=mean_pose,
data_max_val=max_val)
estimates = np.empty((0, 200, 30))
criterion = nn.MSELoss()
for window in split_data:
window = torch.Tensor(window).unsqueeze(0)
window = window.float()
window = normalize_series(window,
mean_pose=mean_pose,
data_max_val=max_val)
window = window.to(device)
estimate = net(window)
estimate = torch.Tensor.cpu(estimate)
estimate = torch.detach(estimate).numpy()
estimates = np.append(estimates, estimate, axis=0)
estimated = merge(estimates, padding=1, result_dim=(0, 30))
original_data = original_data.numpy()
gap_filled = gap_fill(original_data, estimated)
#
np.save('A001P001T028_gaps', original_data)
np.save('A001P001T028_gap_filled', gap_filled)
np.save('A001P001T028_estimated', estimated)
word = functions.goodletter(word_to_guess, letter)
if word=="-"*len(word_to_guess) and letter and len(letter)==1:
count+=1
if not letter or len(letter)>1:
print "Invalid!"
else:
print word
print "Left:",values.retries-count, "retries."
#GAME2
#TODO: Merge GAME1 and GAME2
while count<values.retries:
letter=raw_input("Type a letter: ")
word1 = functions.goodletter(word_to_guess, letter)
word = functions.merge(word, word1, "-")
if word1=="-"*len(word_to_guess) and letter and len(letter)==1:
count+=1
if not letter or len(letter)>1:
print "Invalid!"
else:
print word
print "Left:",values.retries-count, "retries."
#win/lose
if word==word_to_guess:
print "You win."
score+=count
break
if word!=word_to_guess:
print "You lose.\nThe word was", word_to_guess
import argparse
from functions import merge
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Merging multiple MSDN product key export XMLs.')
parser.add_argument('INPUT', nargs='*', help='Input files')
parser.add_argument('--output',
default='output.xml',
help='Output path, default output.xml')
args = parser.parse_args()
docs = args.INPUT
if not docs:
print('No input file specified.')
exit()
out = args.output
merge(docs, out)
import easygui as eg
from functions import merge
if __name__ == '__main__':
input_files = eg.fileopenbox('Open', filetypes='*.xml', multiple=True)
if not input_files:
eg.msgbox('Please select XMLs.')
exit()
output_file = eg.filesavebox('Save', filetypes='*.xml', default='output.xml')
if not output_file:
eg.msgbox('Please select save path.')
exit()
merge(input_files, output_file)
eg.msgbox('Files merged.')