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

472 lines
11 KiB
Python
Raw Normal View History

@extern
def output_int32(x: int32):
...
@extern
def output_float64(x: float):
...
def output_ndarray_int32_1(n: ndarray[int32, Literal[1]]):
for i in range(len(n)):
output_int32(n[i])
def output_ndarray_float_1(n: ndarray[float, Literal[1]]):
for i in range(len(n)):
output_float64(n[i])
def output_ndarray_float_2(n: ndarray[float, Literal[2]]):
for r in range(len(n)):
for c in range(len(n[r])):
output_float64(n[r][c])
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_ndarray_float_1(n)
def test_ndarray_ones():
n: ndarray[float, 1] = np_ones([1])
output_ndarray_float_1(n)
def test_ndarray_full():
n_float: ndarray[float, 1] = np_full([1], 2.0)
output_ndarray_float_1(n_float)
n_i32: ndarray[int32, 1] = np_full([1], 2)
output_ndarray_int32_1(n_i32)
def test_ndarray_eye():
n: ndarray[float, 2] = np_eye(2)
output_ndarray_float_2(n)
def test_ndarray_identity():
n: ndarray[float, 2] = np_identity(2)
output_ndarray_float_2(n)
2024-03-06 16:53:41 +08:00
def test_ndarray_fill():
n: ndarray[float, 2] = np_empty([2, 2])
n.fill(1.0)
output_ndarray_float_2(n)
2024-03-06 16:53:41 +08:00
def test_ndarray_copy():
x: ndarray[float, 2] = np_identity(2)
y = x.copy()
x.fill(0.0)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_add():
x = np_identity(2)
y = x + np_ones([2, 2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_add_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x + np_ones([2])
y = x + np_ones([2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_add_broadcast_lhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = 1.0 + x
y = 1.0 + x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_add_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x + 1.0
y = x + 1.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_iadd():
x = np_identity(2)
x += np_ones([2, 2])
output_ndarray_float_2(x)
def test_ndarray_iadd_broadcast():
x = np_identity(2)
x += np_ones([2])
output_ndarray_float_2(x)
def test_ndarray_iadd_broadcast_scalar():
x = np_identity(2)
x += 1.0
output_ndarray_float_2(x)
def test_ndarray_sub():
x = np_ones([2, 2])
y = x - np_identity(2)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_sub_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x - np_ones([2])
y = x - np_ones([2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_sub_broadcast_lhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = 1.0 - x
y = 1.0 - x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_sub_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x - 1
y = x - 1.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_isub():
x = np_ones([2, 2])
x -= np_identity(2)
output_ndarray_float_2(x)
def test_ndarray_isub_broadcast():
x = np_identity(2)
x -= np_ones([2])
output_ndarray_float_2(x)
def test_ndarray_isub_broadcast_scalar():
x = np_identity(2)
x -= 1.0
output_ndarray_float_2(x)
def test_ndarray_mul():
x = np_ones([2, 2])
y = x * np_identity(2)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_mul_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x * np_ones([2])
y = x * np_ones([2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_mul_broadcast_lhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = 2.0 * x
y = 2.0 * x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_mul_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x * 2.0
y = x * 2.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_imul():
x = np_ones([2, 2])
x *= np_identity(2)
output_ndarray_float_2(x)
def test_ndarray_imul_broadcast():
x = np_identity(2)
x *= np_ones([2])
output_ndarray_float_2(x)
def test_ndarray_imul_broadcast_scalar():
x = np_identity(2)
x *= 2.0
output_ndarray_float_2(x)
def test_ndarray_truediv():
x = np_identity(2)
y = x / np_ones([2, 2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_truediv_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x / np_ones([2])
y = x / np_ones([2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_truediv_broadcast_lhs_scalar():
x = np_ones([2, 2])
# y: ndarray[float, 2] = 2.0 / x
y = 2.0 / x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_truediv_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x / 2.0
y = x / 2.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_itruediv():
x = np_identity(2)
x /= np_ones([2, 2])
output_ndarray_float_2(x)
def test_ndarray_itruediv_broadcast():
x = np_identity(2)
x /= np_ones([2])
output_ndarray_float_2(x)
def test_ndarray_itruediv_broadcast_scalar():
x = np_identity(2)
x /= 2.0
output_ndarray_float_2(x)
def test_ndarray_floordiv():
x = np_identity(2)
y = x // np_ones([2, 2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_floordiv_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x // np_ones([2])
y = x // np_ones([2])
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_floordiv_broadcast_lhs_scalar():
x = np_ones([2, 2])
# y: ndarray[float, 2] = 2.0 // x
y = 2.0 // x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_floordiv_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x // 2.0
y = x // 2.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_ifloordiv():
x = np_identity(2)
x //= np_ones([2, 2])
output_ndarray_float_2(x)
def test_ndarray_ifloordiv_broadcast():
x = np_identity(2)
x //= np_ones([2])
output_ndarray_float_2(x)
def test_ndarray_ifloordiv_broadcast_scalar():
x = np_identity(2)
x //= 2.0
output_ndarray_float_2(x)
def test_ndarray_mod():
x = np_identity(2)
y = x % np_full([2, 2], 2.0)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_mod_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x % np_ones([2])
y = x % np_full([2], 2.0)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_mod_broadcast_lhs_scalar():
x = np_ones([2, 2])
# y: ndarray[float, 2] = 2.0 % x
y = 2.0 % x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_mod_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x % 2.0
y = x % 2.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_imod():
x = np_identity(2)
x %= np_full([2, 2], 2.0)
output_ndarray_float_2(x)
def test_ndarray_imod_broadcast():
x = np_identity(2)
x %= np_full([2], 2.0)
output_ndarray_float_2(x)
def test_ndarray_imod_broadcast_scalar():
x = np_identity(2)
x %= 2.0
output_ndarray_float_2(x)
def test_ndarray_pow():
x = np_identity(2)
y = x ** np_full([2, 2], 2.0)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_pow_broadcast():
x = np_identity(2)
# y: ndarray[float, 2] = x ** np_full([2], 2.0)
y = x ** np_full([2], 2.0)
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_pow_broadcast_lhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = 2.0 ** x
y = 2.0 ** x
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_pow_broadcast_rhs_scalar():
x = np_identity(2)
# y: ndarray[float, 2] = x % 2.0
y = x ** 2.0
output_ndarray_float_2(x)
output_ndarray_float_2(y)
def test_ndarray_ipow():
x = np_identity(2)
x **= np_full([2, 2], 2.0)
output_ndarray_float_2(x)
def test_ndarray_ipow_broadcast():
x = np_identity(2)
x **= np_full([2], 2.0)
output_ndarray_float_2(x)
def test_ndarray_ipow_broadcast_scalar():
x = np_identity(2)
x **= 2.0
output_ndarray_float_2(x)
def run() -> int32:
test_ndarray_ctor()
test_ndarray_empty()
test_ndarray_zeros()
test_ndarray_ones()
test_ndarray_full()
test_ndarray_eye()
test_ndarray_identity()
2024-03-06 16:53:41 +08:00
test_ndarray_fill()
test_ndarray_copy()
test_ndarray_add()
test_ndarray_add_broadcast()
test_ndarray_add_broadcast_lhs_scalar()
test_ndarray_add_broadcast_rhs_scalar()
test_ndarray_iadd()
test_ndarray_iadd_broadcast()
test_ndarray_iadd_broadcast_scalar()
test_ndarray_sub()
test_ndarray_sub_broadcast()
test_ndarray_sub_broadcast_lhs_scalar()
test_ndarray_sub_broadcast_rhs_scalar()
test_ndarray_isub()
test_ndarray_isub_broadcast()
test_ndarray_isub_broadcast_scalar()
test_ndarray_mul()
test_ndarray_mul_broadcast()
test_ndarray_mul_broadcast_lhs_scalar()
test_ndarray_mul_broadcast_rhs_scalar()
test_ndarray_imul()
test_ndarray_imul_broadcast()
test_ndarray_imul_broadcast_scalar()
test_ndarray_truediv()
test_ndarray_truediv_broadcast()
test_ndarray_truediv_broadcast_lhs_scalar()
test_ndarray_truediv_broadcast_rhs_scalar()
test_ndarray_itruediv()
test_ndarray_itruediv_broadcast()
test_ndarray_itruediv_broadcast_scalar()
test_ndarray_floordiv()
test_ndarray_floordiv_broadcast()
test_ndarray_floordiv_broadcast_lhs_scalar()
test_ndarray_floordiv_broadcast_rhs_scalar()
test_ndarray_ifloordiv()
test_ndarray_ifloordiv_broadcast()
test_ndarray_ifloordiv_broadcast_scalar()
test_ndarray_mod()
test_ndarray_mod_broadcast()
test_ndarray_mod_broadcast_lhs_scalar()
test_ndarray_mod_broadcast_rhs_scalar()
test_ndarray_imod()
test_ndarray_imod_broadcast()
test_ndarray_imod_broadcast_scalar()
test_ndarray_pow()
test_ndarray_pow_broadcast()
test_ndarray_pow_broadcast_lhs_scalar()
test_ndarray_pow_broadcast_rhs_scalar()
test_ndarray_ipow()
test_ndarray_ipow_broadcast()
test_ndarray_ipow_broadcast_scalar()
return 0