def test_avg(self):
"""
Test procedure for function avg().
"""
print('Testing avg()')
result = avg(())
self.assertEqual(0, result)
result = avg((7, 1, 4, 3, 6, 8))
self.assertEqual(4.833333333333333, result)
result = avg((-1, 1, 3, 5))
self.assertEqual(2.0, result)
result = avg((2.5, ))
self.assertEqual(2.5, result)
result = avg((1.0, 1.0, 1.0))
self.assertEqual(1.0, result)
tup = tuple(range(10, 20))
result = avg(tup)
self.assertEqual(14.5, result)
def test_avg_empty(self):
self.assertEqual(average.avg([]), 0)
def test_avg_string(self):
self.assertEqual(average.avg(['a', 'b', 'c', 'd', 'e']), 'f')
def test_avg_floating(self):
self.assertEqual(average.avg([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), 5.5)
#!/usr/bin/env python3
"""Vstupní bod do testované aplikace."""
from average import avg
if __name__ == '__main__':
# pouze se ujistíme, že lze spustit funkci average
print(avg([1, 2]))
def test_average(self):
result = average.avg(4,4,6,6)
self.assertEqual(result, 5)
def test_average_basic():
"""Otestování výpočtu průměru."""
result = average.avg([1, 2])
expected = 1.5
assert result == expected, "Očekávaná hodnota {}, vráceno {}".format(expected, result)
def test_empty(self):
n = average.avg([])
self.assertEqual(n, 'error') #can't be empty
def test_average_more_values(values, expected):
"""Otestování výpočtu průměru."""
result = average.avg(values)
assert result == expected, "Očekávaná hodnota {}, vráceno {}".format(
expected, result)
def test_complexnumber(self):
v = average.avg([-30, 40, 50])
self.assertEqual(v, 20)
def test_av(self):
v = average.avg([1, 2, 3, 4, 5])
self.assertEqual(v, 3.0)
if pz > .001:
y_pz.append(pz)
x_z.append(z)
if len(y_pz) > 0:
#print(x_z)
#print(average.avg(x_z))
#print(average.stdev(x_z)) not using this bc we are not taking the stdev of just the x_z values, we want to fit the distribution to a gaussian
#popt, pcov = curve_fit(gaussian.gauss_function, x_z, y_pz) #optimizes parameters
#print (i)
try:
popt,pcov = scipy.optimize.curve_fit(gaussian.gauss_function, x_z, y_pz,p0= [1,(average.avg(x_z)), .3]) #the try-except error handling procedure is to exceed the max call to fcn of 800 times
except RuntimeError:
print("Error - curve_fit failed")
#print(popt)
print i
#popt[0], popt[1], popt[2] = map(float, popt.split()) #assign values to popt (a, x0, sigma)
outfile.write("%s \t %s \t %s \t %s \n" % (i, popt[0], popt[1], abs(popt[2]))) #writing values from outfile to 4colAmpAvgStdev.py
if popt[1]<0:
print i, popt
if popt[0]<0:
print i, popt
data.close()
outfile.close()
def test_avg(self):
self.assertEqual(average.avg([2, 3, 4, 5]), 3.5)
def test_average1(self):
result = average.avg(1,1,1,1)
self.assertEqual(result, 1)
def test_avg_whole(self):
self.assertEqual(average.avg([2, 2, 2, 2]), 2)
def test_average_empty_list():
"""Otestování výpočtu průměru pro prázdný vstup."""
with pytest.raises(ZeroDivisionError) as excinfo:
result = average.avg([])
def test_float_neg(self):
self.assertEqual(avg([.5, -.5, 3]), 1.0)
def test_average2(self):
result = average.avg(.5,1.5,2.5,3.5)
self.assertEqual(result, 2)