Best Python code snippet using pyshould_python
onoff.py
Source:onoff.py
...20 res = scipy.special.betainc(n_on, 1+n_off, 1.0/(1 + tau))21 return res22def p_to_Z(p):23 return math.sqrt(2) * scipy.special.erfinv(1 - 2*p)24def test_expect(n_on, n_off, tau, expected_Z):25 observed_Z = p_to_Z(p_Bi(n_on, n_off, tau))26 #numbers in the papar are given to two significant digits, so the deviation27 # of the 100-fold difference should be .5 at most, assuming the figures have been28 # rounded correctly.29 if abs((observed_Z - expected_Z) * 100) > 0.5:30 print "FAIL: Z_Bi: got Z = %f, expected %f for n_on, n_off, tau = %f %f %f" % (observed_Z, expected_Z, n_on, n_off, tau)31 else:32 print "PASS: Z_Bi: got Z = %f; expected Z = %f" % (observed_Z, expected_Z)33#test the values from the above mentioned paper:34test_expect(4, 5, 5.0, 1.66)35test_expect(6, 18.78, 14.44, 2.63)36test_expect(9, 17.83, 4.69, 1.82)37test_expect(17, 40.11, 10.56, 4.46)38test_expect(50, 55, 2.0, 2.93)39test_expect(67, 15, 0.5, 2.89)40test_expect(200, 10, 0.1, 2.20)41test_expect(523, 2327, 5.99, 5.93)42test_expect(498426, 493434, 1.0, 5.01)...
onoff.py.svn-base
Source:onoff.py.svn-base
...20 res = scipy.special.betainc(n_on, 1+n_off, 1.0/(1 + tau))21 return res22def p_to_Z(p):23 return math.sqrt(2) * scipy.special.erfinv(1 - 2*p)24def test_expect(n_on, n_off, tau, expected_Z):25 observed_Z = p_to_Z(p_Bi(n_on, n_off, tau))26 #numbers in the papar are given to two significant digits, so the deviation27 # of the 100-fold difference should be .5 at most, assuming the figures have been28 # rounded correctly.29 if abs((observed_Z - expected_Z) * 100) > 0.5:30 print "FAIL: Z_Bi: got Z = %f, expected %f for n_on, n_off, tau = %f %f %f" % (observed_Z, expected_Z, n_on, n_off, tau)31 else:32 print "PASS: Z_Bi: got Z = %f; expected Z = %f" % (observed_Z, expected_Z)33#test the values from the above mentioned paper:34test_expect(4, 5, 5.0, 1.66)35test_expect(6, 18.78, 14.44, 2.63)36test_expect(9, 17.83, 4.69, 1.82)37test_expect(17, 40.11, 10.56, 4.46)38test_expect(50, 55, 2.0, 2.93)39test_expect(67, 15, 0.5, 2.89)40test_expect(200, 10, 0.1, 2.20)41test_expect(523, 2327, 5.99, 5.93)42test_expect(498426, 493434, 1.0, 5.01)...
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