def test_all_to_tbl(self):
ps, rs, vs, qs = [], [], [], []
for p in T:
for v in T[p]:
for r in R.keys():
ps.append(p)
vs.append(v)
rs.append(r)
qs.append(T[p][v][R[r]])
qs = np.array(qs)
errors = np.abs(qs - qsturng(ps, rs, vs)) / qs
assert_equal(np.array([]), np.where(errors > .03)[0])
def test_all_to_tbl(self):
ps, rs, vs, qs = [], [], [], []
for p in T:
for v in T[p]:
for r in R.keys():
ps.append(p)
vs.append(v)
rs.append(r)
qs.append(T[p][v][R[r]])
qs = np.array(qs)
errors = np.abs(qs-qsturng(ps,rs,vs))/qs
assert_equal(np.array([]), np.where(errors > .03)[0])
def t_est_all_to_tbl(self):
from statsmodels.stats.libqsturng.make_tbls import T,R
ps, rs, vs, qs = [], [], [], []
for p in T:
for v in T[p]:
for r in R.keys():
ps.append(p)
vs.append(v)
rs.append(r)
qs.append(T[p][v][R[r]])
qs = np.array(qs)
errors = np.abs(qs-qsturng(ps,rs,vs))/qs
assert_equal(np.array([]), np.where(errors > .03)[0])
def t_est_all_to_tbl(self):
from statsmodels.stats.libqsturng.make_tbls import T, R
ps, rs, vs, qs = [], [], [], []
for p in T:
for v in T[p]:
for r in R.keys():
ps.append(p)
vs.append(v)
rs.append(r)
qs.append(T[p][v][R[r]])
qs = np.array(qs)
errors = np.abs(qs - qsturng(ps, rs, vs)) / qs
assert_equal(np.array([]), np.where(errors > .03)[0])