def __init__(self, title, width, height, frame_rate):
game.Game.__init__(self, title, width, height, frame_rate)
# create a game instance
# YOU SHOULD CHANGE THIS TO IMPORT YOUR GAME MODULE
self.mGame = example.Example(width, height)
return
def test_Example():
import example
ex = example.Example("Test")
assert ex.name == "Test"
ex.name = "Test2"
assert ex.name == "Test2"
# e.add(3,4,c) #调用函数
# print(example.intp_value(c)) #解除引用
#
# example.intp_assign(c,10) #对c指向的对象进行赋值
# print(example.intp_value(c))
#使用pointer_class
# import example
# e = example.Example()
# c = example.intp() #创建一个int*
# e.add(3,4,c)
# print(c.value()) #deference
# c.assign(10)
# print(c.value())
#测试array_functions
# import example
# c = example.new_doubleArray(10)
# for i in range(10):
# example.doubleArray_setitem(c,i,2*i)
# example.Example().print_array(c)
# example.delete_doubleArray(c)
# example.Example().print_array(c)
#测试array_class
import example
c = example.doubleArray(10)
for i in range(10):
c[i] = 2 * i
example.Example().print_array(c)
import example as model
# import trainExample as trainer
RightFoot_path = "../../Recordings/Fall_2020/OpenBCISession_2020-10-11_16-26-10-YAN-RIGHT-FOOT/OpenBCI-RAW-2020-10-11_16-26-50.txt"
RightFoot_label_path = "../../Recordings/Labels/yanRightFoot"
LeftFoot_path = "../../Recordings/Fall_2020/OpenBCISession_2020-10-11_16-26-10-YAN-RIGHT-FOOT/OpenBCI-RAW-2020-10-11_16-26-50.txt"
LeftFoot_label_path = "../../Recordings/Labels/yanLeftFoot.txt.txt"
RightEye_path = "../../Recordings/Fall_2020/OpenBCISession_2020-10-11_16-58-40-YAN-RIGHT-EYE/OpenBCI-RAW-2020-10-11_16-59-03.txt"
RightEye_label_path = "../../Recordings/Labels/yanRightEye"
LeftEye_path = "../../Recordings/Fall_2020/OpenBCISession_2020-10-11_16-33-50-YAN-LEFT-EYE/OpenBCI-RAW-2020-10-11_16-38-59.txt"
LeftEye_label_path = "../../Recordings/Labels/yanLeftEye"
exampleModel = model.Example("modelFile")
RightFoot_observations = dc.getObservationSet(RightFoot_path,
RightFoot_label_path, 1000,
[0, 1, 2], 'R_FOOT')
LeftFoot_observations = dc.getObservationSet(LeftFoot_path,
LeftFoot_label_path, 1000,
[0, 1, 2], 'L_FOOT')
RightEye_observations = dc.getObservationSet(RightEye_path,
RightEye_label_path, 1000,
[0, 1, 2], 'R_EYE')
LeftEye_observations = dc.getObservationSet(LeftEye_path, LeftEye_label_path,
1000, [0, 1, 2], 'L_EYE')
exampleModel.train([
RightFoot_observations, LeftFoot_observations, RightEye_observations,
def get_data(filename, time_map, distance_map, carrier_map, airport_map):
# open the data file
file = open(filename)
# skip the header
next(file)
# convert data file into Example objects
data = []
for line in file:
line = re.sub('[\n]', '', line) # delete newline characters
values = line.split(',') # split the data up
# only consider flights that haven't been canceled
if float(values[21]) != 1.0:
x = []
y = []
try:
# get normalized inputs
dept_time = float(time_map[values[5][:-2]][2])
carrier = float(carrier_map[values[8]][2])
airport = float(airport_map[values[16]][2])
# get delay and apply threshold
delay = float(values[15])
if delay > 15:
delay = 1.0
else:
delay = 0.0
# get distance and find normalized value from range
distance = float(values[18])
if distance < 300:
distance = float(distance_map['0'][2])
elif 300 <= distance < 600:
distance = float(distance_map['1'][2])
elif 600 <= distance < 900:
distance = float(distance_map['2'][2])
else:
distance = float(distance_map['3'][2])
# put the values in the arrays
x.append(dept_time)
x.append(carrier)
x.append(airport)
x.append(distance)
y.append(delay)
except ValueError:
logging.debug(
'Could not add {0} because of an invalid value'.format(
values))
continue
except KeyError:
logging.debug(
'Could not find key for value in {0}'.format(values))
continue
# add the data point
logging.debug('Adding data point [{0}, {1}]'.format(x, y))
data.append(example.Example(x, y))
else:
logging.debug('Found a canceled flight')
return data
#!/usr/bin/env python
import example
import numpy as np
import scipy.sparse
t = example.Example()
t.set('bom dia!')
print(t.greet())
t.many(['Good Morning', 'Buon giorno', 'Kali mera'])
print(t.greet())
print(example.add_to_3(2))
print(example.apply_5(example.add_to_3))
print(example.apply_5(lambda x: x + 4))
xs = [1, 2, 3, 4, 5]
print(xs)
print(example.map1(example.add_to_3, xs))
print(example.map1(lambda x: x + 4, xs))
print(xs)
fs = [(lambda a: lambda x: x + a)(a) for a in xs]
print(example.zip_map(fs, xs))
m = np.array([[1, 2], [3, 4]])
print(m)
print(example.a_mat)
print(example.a_mat())
L = scipy.sparse.identity(2).tocsc()
def setup(self):
self.ex = example.Example()
import example
obj = example.Example()
obj.say_hello()
ret = obj.add(3, 4)
print(ret)
ret = obj.sub(7, 4)
print(ret)
ret = obj.negateint(4)
print(ret)
rc, len = obj.strLen("hello,swig")
print("rc =", rc, "len = ", len)
# http://www.swig.org/Doc3.0/Library.html#Library_carrays
a = example.new_intArray(10)
for i in range(10):
example.intArray_setitem(a, i, i)
print("a[3] = ", example.intArray_getitem(a, 3))
tmp = obj.sumArr(a, 10)
print(tmp)
example.delete_intArray(a)
a = example.intArrayclass(10)
for i in range(10):
a[i] = i * 10
tmp = obj.sumArr(a, 10)
print(tmp)
def __init__(self, methodName='runTest'):
super().__init__(methodName)
self.example = example.Example(5, 5)
def test_func2(self, mock_func1):
mock_func1.return_value = 0
self.assertEqual(example.Example(5).func2(), 1)
