1
0
forked from M-Labs/nac3
nac3/nac3standalone/demo/src/ndarray.py

82 lines
1.8 KiB
Python

@extern
def output_int32(x: int32):
...
@extern
def output_float64(x: float):
...
def consume_ndarray_1(n: ndarray[float, Literal[1]]):
pass
def test_ndarray_ctor():
n: ndarray[float, Literal[1]] = np_ndarray([1])
consume_ndarray_1(n)
def test_ndarray_empty():
n: ndarray[float, 1] = np_empty([1])
consume_ndarray_1(n)
def test_ndarray_zeros():
n: ndarray[float, 1] = np_zeros([1])
output_float64(n[0])
def test_ndarray_ones():
n: ndarray[float, 1] = np_ones([1])
output_float64(n[0])
def test_ndarray_full():
n_float: ndarray[float, 1] = np_full([1], 2.0)
output_float64(n_float[0])
n_i32: ndarray[int32, 1] = np_full([1], 2)
output_int32(n_i32[0])
def test_ndarray_eye():
n: ndarray[float, 2] = np_eye(2)
n0: ndarray[float, 1] = n[0]
v: float = n0[0]
output_float64(v)
def test_ndarray_identity():
n: ndarray[float, 2] = np_identity(2)
output_float64(n[0][0])
output_float64(n[0][1])
output_float64(n[1][0])
output_float64(n[1][1])
def test_ndarray_fill():
n: ndarray[float, 2] = np_empty([2, 2])
n.fill(1.0)
output_float64(n[0][0])
output_float64(n[0][1])
output_float64(n[1][0])
output_float64(n[1][1])
def test_ndarray_copy():
x: ndarray[float, 2] = np_identity(2)
y = x.copy()
x.fill(0.0)
output_float64(x[0][0])
output_float64(x[0][1])
output_float64(x[1][0])
output_float64(x[1][1])
output_float64(y[0][0])
output_float64(y[0][1])
output_float64(y[1][0])
output_float64(y[1][1])
def run() -> int32:
test_ndarray_ctor()
test_ndarray_empty()
test_ndarray_zeros()
test_ndarray_ones()
test_ndarray_full()
test_ndarray_eye()
test_ndarray_identity()
test_ndarray_fill()
test_ndarray_copy()
return 0