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lorenzennio authoredlorenzennio authored
testAnalysis.py 1.89 KiB
import unittest
import numpy as np
from analysis import Analysis
import matplotlib.pyplot as plt
class testAnalysis(unittest.TestCase):
"""
A simple test to check the angle means ans error computation.
"""
def testxFit(self):
#ang = np.array([6,5,6,5,8,4,8,4,7,1,7,1,10,3,10,3,None,None,None,None])
#ang = np.reshape(ang, (5,2,2))
A = Analysis()
#self.assertEqual(A.results['Mean'][0], 5.5)
#self.assertEqual(A.results['Error'][0], 0.5)
x = np.arange(0, 6)
z = A.xEOM([1,20,10,100], x)
#plt.plot(z,x)
#plt.show()
Data = []
for i in range(0,len(z)):
err =0.01* np.random.random(size=(4))
#print(err)
Data.append([[x[i]+err[0],x[i]-err[1]], [0,0], [z[i]+err[2], z[i]-err[3]]])
#np.concatenate((Data,
# [[0,0], [y[i]+0.1,y[i]-0.1], [z[i]+0.1, z[i]-0.1]]), axis=0)
Data = np.array(Data)
A.fill(Data)
A.xFit()
#print(y)
#print(z)
#print(Data)
def testyFit(self):
#ang = np.array([6,5,6,5,8,4,8,4,7,1,7,1,10,3,10,3,None,None,None,None])
#ang = np.reshape(ang, (5,2,2))
A = Analysis()
#self.assertEqual(A.results['Mean'][0], 5.5)
#self.assertEqual(A.results['Error'][0], 0.5)
z = np.arange(0, 6)
y = A.yEOM([1000,100,100], z)
#plt.plot(z,y)
#plt.show()
Data = []
for i in range(0,len(z)):
err =0.001* np.random.random(size=(4))
#print(err)
Data.append([[0,0], [y[i]+err[0],y[i]-err[1]], [z[i]+err[2], z[i]-err[3]]])
#np.concatenate((Data,
# [[0,0], [y[i]+0.1,y[i]-0.1], [z[i]+0.1, z[i]-0.1]]), axis=0)
Data = np.array(Data)
A.fill(Data)
A.yFit()
#print(y)
#print(z)
#print(Data)