def test_cse_gh174():
x = se.symbols('x')
funcs = [se.cos(x)**i for i in range(5)]
f_lmb = se.Lambdify([x], funcs)
f_cse = se.LambdifyCSE([x], funcs)
a = np.array([1, 2, 3])
assert np.allclose(f_lmb(a), f_cse(a))
def test_cse_numpy():
if not HAVE_NUMPY: # nosetests work-around
return
args, exprs, inp, ref = _get_cse_exprs()
lmb = se.LambdifyCSE(args, exprs)
out = lmb(inp)
assert allclose(out, ref)
def test_cse_array_input():
args, exprs, inp, ref = _get_cse_exprs()
inp = array.array('d', inp)
lmb = se.LambdifyCSE(
args, exprs, concatenate=lambda tup: tup[0] + array.array('d', tup[1]))
out = lmb(inp, use_numpy=False)
assert allclose(out, ref)
def test_cse_list_input():
args, exprs, inp, ref = _get_cse_exprs()
lmb = se.LambdifyCSE(args,
exprs,
concatenate=lambda tup: tup[0] + list(tup[1]))
out = lmb(inp, use_numpy=False)
assert allclose(out, ref)
def test_Lambdify_scalar_vector_matrix_cse():
_test_Lambdify_scalar_vector_matrix(
lambda *args: se.LambdifyCSE(*args, backend='lambda'))
if se.have_llvm:
_test_Lambdify_scalar_vector_matrix(
lambda *args: se.LambdifyCSE(*args, backend='llvm'))
def test_cse_big():
args, exprs, inp = _get_cse_exprs_big()
lmb = se.LambdifyCSE(args, exprs)
out = lmb(inp)
ref = [expr.xreplace(dict(zip(args, inp))) for expr in exprs]
assert allclose(out, ref)
def test_cse():
args, exprs, inp, ref = _get_cse_exprs()
lmb = se.LambdifyCSE(args, exprs)
out = lmb(inp)
assert allclose(out, ref)
3 * p[3] - 2 * p[4] - 3 * p[6] - 6 * p[7] - 9 * p[8] - 12 * p[9] +
exp(x[0]) + exp(x[1]) + 15 * exp(x[10]) + 2 * exp(x[11]) + 3 * exp(x[12]) +
4 * exp(x[13]) + 4 * exp(x[2]) + 3 * exp(x[3]) + 2 * exp(x[4]) +
3 * exp(x[6]) + 6 * exp(x[7]) + 9 * exp(x[8]) + 12 * exp(x[9]),
-5 * p[10] - p[2] - p[3] - p[6] - 2 * p[7] - 3 * p[8] - 4 * p[9] +
5 * exp(x[10]) + exp(x[2]) + exp(x[3]) + exp(x[6]) + 2 * exp(x[7]) +
3 * exp(x[8]) + 4 * exp(x[9]), -p[1] - 2 * p[11] - 3 * p[12] - 4 * p[13] -
p[4] + exp(x[1]) + 2 * exp(x[11]) + 3 * exp(x[12]) + 4 * exp(x[13]) +
exp(x[4]), -p[10] - 2 * p[11] - p[12] - p[13] - p[5] - p[6] - p[7] - p[8] -
p[9] + exp(x[10]) + 2 * exp(x[11]) + exp(x[12]) + exp(x[13]) + exp(x[5]) +
exp(x[6]) + exp(x[7]) + exp(x[8]) + exp(x[9])
]
lmb_sp = sp.lambdify(args, exprs, modules='math')
lmb_se = se.Lambdify(args, exprs)
lmb_se_cse = se.LambdifyCSE(args, exprs)
lmb_se_llvm = se.Lambdify(args, exprs, backend='llvm')
inp = np.ones(28)
lmb_sp(*inp)
tim_sympy = clock()
for i in range(500):
res_sympy = lmb_sp(*inp)
tim_sympy = clock() - tim_sympy
lmb_se(inp)
tim_se = clock()
res_se = np.empty(len(exprs))
for i in range(500):
res_se = lmb_se(inp)
