Compare commits
5 Commits
278cfd309d
...
ce5ce027df
Author | SHA1 | Date |
---|---|---|
David Mak | ce5ce027df | |
David Mak | 2c8f5ae81e | |
David Mak | 7c938d9663 | |
David Mak | 944612f0c9 | |
David Mak | 28d156eae4 |
|
@ -433,11 +433,13 @@ pub fn list_slice_assignment<'ctx, 'a>(
|
|||
ctx.builder.position_at_end(cont_bb);
|
||||
}
|
||||
|
||||
/// Generates a call to `isinf` in IR. Returns an `i1` representing the result.
|
||||
/// Generates a call to `isinf` in IR. Returns either an `i32` or `i1` representing the result,
|
||||
/// depending on the value of `to_i1`.
|
||||
pub fn call_isinf<'ctx, 'a>(
|
||||
generator: &dyn CodeGenerator,
|
||||
ctx: &CodeGenContext<'ctx, 'a>,
|
||||
v: FloatValue<'ctx>,
|
||||
to_i1: bool,
|
||||
) -> IntValue<'ctx> {
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isinf").unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
|
||||
|
@ -449,14 +451,20 @@ pub fn call_isinf<'ctx, 'a>(
|
|||
.try_as_basic_value()
|
||||
.unwrap_left()
|
||||
.into_int_value();
|
||||
generator.bool_to_i1(ctx, val)
|
||||
if to_i1 {
|
||||
generator.bool_to_i1(ctx, val)
|
||||
} else {
|
||||
val
|
||||
}
|
||||
}
|
||||
|
||||
/// Generates a call to `isnan` in IR. Returns an `i1` representing the result.
|
||||
/// Generates a call to `isnan` in IR. Returns either an `i32` or `i1` representing the result,
|
||||
/// depending on the value of `to_i1`.
|
||||
pub fn call_isnan<'ctx, 'a>(
|
||||
generator: &dyn CodeGenerator,
|
||||
ctx: &CodeGenContext<'ctx, 'a>,
|
||||
v: FloatValue<'ctx>,
|
||||
to_i1: bool,
|
||||
) -> IntValue<'ctx> {
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isnan").unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
|
||||
|
@ -468,5 +476,9 @@ pub fn call_isnan<'ctx, 'a>(
|
|||
.try_as_basic_value()
|
||||
.unwrap_left()
|
||||
.into_int_value();
|
||||
generator.bool_to_i1(ctx, val)
|
||||
if to_i1 {
|
||||
generator.bool_to_i1(ctx, val)
|
||||
} else {
|
||||
val
|
||||
}
|
||||
}
|
||||
|
|
|
@ -1180,23 +1180,45 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
|
|||
)))),
|
||||
loc: None,
|
||||
})),
|
||||
create_fn_by_extern(
|
||||
create_fn_by_codegen(
|
||||
primitives,
|
||||
&var_map,
|
||||
"isnan",
|
||||
boolean,
|
||||
&[(float, "x")],
|
||||
"isnan",
|
||||
&[],
|
||||
Box::new(|ctx, _, fun, args, generator| {
|
||||
let float = ctx.primitives.float;
|
||||
|
||||
let x_ty = fun.0.args[0].ty;
|
||||
let x_val = args[0].1.clone()
|
||||
.to_basic_value_enum(ctx, generator, x_ty)?;
|
||||
|
||||
assert!(ctx.unifier.unioned(x_ty, float));
|
||||
|
||||
let val = call_isnan(generator, ctx, x_val.into_float_value(), true);
|
||||
|
||||
Ok(Some(val.into()))
|
||||
}),
|
||||
),
|
||||
create_fn_by_extern(
|
||||
create_fn_by_codegen(
|
||||
primitives,
|
||||
&var_map,
|
||||
"isinf",
|
||||
boolean,
|
||||
&[(float, "x")],
|
||||
"isinf",
|
||||
&[],
|
||||
Box::new(|ctx, _, fun, args, generator| {
|
||||
let float = ctx.primitives.float;
|
||||
|
||||
let x_ty = fun.0.args[0].ty;
|
||||
let x_val = args[0].1.clone()
|
||||
.to_basic_value_enum(ctx, generator, x_ty)?;
|
||||
|
||||
assert!(ctx.unifier.unioned(x_ty, float));
|
||||
|
||||
let val = call_isinf(generator, ctx, x_val.into_float_value(), true);
|
||||
|
||||
Ok(Some(val.into()))
|
||||
}),
|
||||
),
|
||||
create_fn_by_intrinsic(
|
||||
primitives,
|
||||
|
@ -1498,31 +1520,30 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
|
|||
// v = if isinf(v) || isnan(v) { f64::INFINITY } else { v } // Handles (4)-(5)
|
||||
// v = if isinf(x) || isnan(x) { x } else { v } // Handles (1)-(3)
|
||||
|
||||
// %isinf = call i32 @__nac3_isinf(f64 %0)
|
||||
// %isinf_bool = icmp ne i32 %isinf, 0
|
||||
let v_isinf = call_isinf(generator, ctx, call.into());
|
||||
// %isnan = call i32 @__nac3_isnan(f64 %0)
|
||||
// %isnan_bool = icmp ne i32 %isnan, 0
|
||||
let v_isnan = call_isnan(generator, ctx, call.into());
|
||||
// %v.isinf = call i32 @__nac3_isinf(f64 %0)
|
||||
let v_isinf = call_isinf(generator, ctx, call.into(), false);
|
||||
// %v.isnan = call i32 @__nac3_isnan(f64 %0)
|
||||
let v_isnan = call_isnan(generator, ctx, call.into(), false);
|
||||
|
||||
// %or = or i1 %isinf_bool, %isinf_nan
|
||||
// %3 = select i1 %or, f64 inf, f64 %0
|
||||
// %or = or i32 %v.isinf, %v.isnan
|
||||
// %or.tobool = icmp ne i32 %or, 0
|
||||
// %3 = select i1 %or.tobool, f64 inf, f64 %0
|
||||
let v_is_nonnum = ctx.builder.build_or(v_isinf, v_isnan, "");
|
||||
let val = ctx.builder.build_select(
|
||||
ctx.builder.build_or(v_isinf, v_isnan, ""),
|
||||
generator.bool_to_i1(ctx, v_is_nonnum),
|
||||
llvm_f64.const_float(f64::INFINITY).into(),
|
||||
call,
|
||||
"",
|
||||
).into_float_value();
|
||||
|
||||
// %isinf = call i32 @__nac3_isinf(f64 %z)
|
||||
// %isinf_bool = icmp ne i32 %isinf, 0
|
||||
let z_isinf = call_isinf(generator, ctx, z_val.into_float_value());
|
||||
// %isnan = call i32 @__nac3_isnan(f64 %z)
|
||||
// %isnan_bool = icmp ne i32 %isnan, 0
|
||||
let z_isnan = call_isnan(generator, ctx, z_val.into_float_value());
|
||||
// %z.isinf = call i32 @__nac3_isinf(f64 %z)
|
||||
let z_isinf = call_isinf(generator, ctx, z_val.into_float_value(), false);
|
||||
// %z.isnan = call i32 @__nac3_isnan(f64 %z)
|
||||
let z_isnan = call_isnan(generator, ctx, z_val.into_float_value(), false);
|
||||
|
||||
// %or = or i1 %isinf_bool, %isinf_nan
|
||||
// %4 = select i1 %or, f64 inf, f64 %0
|
||||
// %or = or i32 %z.isinf, %z.isnan
|
||||
// %or.tobool = icmp ne i32 %or, 0
|
||||
// %val = select i1 %or.tobool, f64 %z, f64 %3
|
||||
let val = ctx.builder.build_select(
|
||||
ctx.builder.build_or(z_isinf, z_isnan, ""),
|
||||
z_val.into_float_value(),
|
||||
|
@ -1581,7 +1602,7 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
|
|||
// %tobool = icmp ne i32 %isinf, 0
|
||||
// %val = select i1 %tobool, f64 %x, f64 %0
|
||||
let v = ctx.builder.build_select(
|
||||
call_isinf(generator, ctx, x_val.into_float_value()),
|
||||
call_isinf(generator, ctx, x_val.into_float_value(), true),
|
||||
x_val,
|
||||
call.into(),
|
||||
""
|
||||
|
@ -1636,7 +1657,7 @@ pub fn get_builtins(primitives: &mut (PrimitiveStore, Unifier)) -> BuiltinInfo {
|
|||
|
||||
// %1 = call i32 @__nac3_isinf(f64 %x)
|
||||
// %2 =
|
||||
let arg_isinf = call_isinf(generator, ctx, x_val.into_float_value());
|
||||
let arg_isinf = call_isinf(generator, ctx, x_val.into_float_value(), true);
|
||||
|
||||
// %val = select i1 %1, f64 nan, f64 %0
|
||||
let val = ctx.builder
|
||||
|
|
|
@ -14,136 +14,142 @@ def dbl_nan() -> float:
|
|||
def dbl_inf() -> float:
|
||||
...
|
||||
|
||||
def dbl_pi() -> float:
|
||||
return 3.1415926535897932384626433
|
||||
|
||||
def dbl_e() -> float:
|
||||
return 2.71828182845904523536028747135266249775724709369995
|
||||
|
||||
def test_isnan():
|
||||
for x in [dbl_nan(), 0.0, dbl_inf()]:
|
||||
output_bool(isnan(x))
|
||||
|
||||
def test_isinf():
|
||||
for x in [dbl_inf(), 0.0, dbl_nan()]:
|
||||
for x in [dbl_inf(), -dbl_inf(), 0.0, dbl_nan()]:
|
||||
output_bool(isinf(x))
|
||||
|
||||
def test_sin():
|
||||
pi = 3.1415926535897932384626433
|
||||
for x in [-pi, -pi / 2.0, -pi / 4.0, 0.0, pi / 4.0, pi / 2.0, pi]:
|
||||
pi = dbl_pi()
|
||||
for x in [-pi, -pi / 2.0, -pi / 4.0, 0.0, pi / 4.0, pi / 2.0, pi, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(sin(x))
|
||||
|
||||
def test_cos():
|
||||
pi = 3.1415926535897932384626433
|
||||
for x in [-pi, -pi / 2.0, -pi / 4.0, 0.0, pi / 4.0, pi / 2.0, pi]:
|
||||
pi = dbl_pi()
|
||||
for x in [-pi, -pi / 2.0, -pi / 4.0, 0.0, pi / 4.0, pi / 2.0, pi, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(cos(x))
|
||||
|
||||
def test_exp():
|
||||
for x in [0.0, 1.0]:
|
||||
for x in [0.0, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(exp(x))
|
||||
|
||||
def test_exp2():
|
||||
for x in [0.0, 1.0]:
|
||||
for x in [0.0, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(exp2(x))
|
||||
|
||||
def test_log():
|
||||
e = 2.71828182845904523536028747135266249775724709369995
|
||||
for x in [1.0, e]:
|
||||
e = dbl_e()
|
||||
for x in [1.0, e, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(log(x))
|
||||
|
||||
def test_log10():
|
||||
for x in [1.0, 10.0]:
|
||||
for x in [1.0, 10.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(log10(x))
|
||||
|
||||
def test_log2():
|
||||
for x in [1.0, 2.0]:
|
||||
for x in [1.0, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(log2(x))
|
||||
|
||||
def test_fabs():
|
||||
for x in [-1.0, 0.0, 1.0]:
|
||||
for x in [-1.0, 0.0, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(fabs(x))
|
||||
|
||||
def test_floor():
|
||||
for x in [-1.5, -0.5, 0.5, 1.5]:
|
||||
for x in [-1.5, -0.5, 0.5, 1.5, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(floor(x))
|
||||
|
||||
def test_ceil():
|
||||
for x in [-1.5, -0.5, 0.5, 1.5]:
|
||||
for x in [-1.5, -0.5, 0.5, 1.5, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(ceil(x))
|
||||
|
||||
def test_trunc():
|
||||
for x in [-1.5, -0.5, 0.5, 1.5]:
|
||||
for x in [-1.5, -0.5, 0.5, 1.5, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(trunc(x))
|
||||
|
||||
def test_sqrt():
|
||||
for x in [1.0, 2.0, 4.0]:
|
||||
for x in [1.0, 2.0, 4.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(sqrt(x))
|
||||
|
||||
def test_rint():
|
||||
for x in [-1.5, -0.5, 0.5, 1.5]:
|
||||
for x in [-1.5, -0.5, 0.5, 1.5, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(rint(x))
|
||||
|
||||
def test_tan():
|
||||
pi = 3.1415926535897932384626433
|
||||
for x in [-pi, -pi / 2.0, -pi / 4.0, 0.0, pi / 4.0, pi / 2.0, pi]:
|
||||
pi = dbl_pi()
|
||||
for x in [-pi, -pi / 2.0, -pi / 4.0, 0.0, pi / 4.0, pi / 2.0, pi, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(tan(x))
|
||||
|
||||
def test_arcsin():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arcsin(x))
|
||||
|
||||
def test_arccos():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arccos(x))
|
||||
|
||||
def test_arctan():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arctan(x))
|
||||
|
||||
def test_sinh():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(sinh(x))
|
||||
|
||||
def test_cosh():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(cosh(x))
|
||||
|
||||
def test_tanh():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(tanh(x))
|
||||
|
||||
def test_arcsinh():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arcsinh(x))
|
||||
|
||||
def test_arccosh():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arccosh(x))
|
||||
|
||||
def test_arctanh():
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arctanh(x))
|
||||
|
||||
def test_expm1():
|
||||
for x in [0.0, 1.0]:
|
||||
for x in [0.0, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(expm1(x))
|
||||
|
||||
def test_cbrt():
|
||||
for x in [1.0, 8.0, 27.0]:
|
||||
for x in [1.0, 8.0, 27.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(expm1(x))
|
||||
|
||||
def test_erf():
|
||||
for x in [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0]:
|
||||
for x in [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(erf(x))
|
||||
|
||||
def test_erfc():
|
||||
for x in [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0]:
|
||||
for x in [-3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(erfc(x))
|
||||
|
||||
def test_gamma():
|
||||
for x in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(gamma(x))
|
||||
|
||||
def test_gammaln():
|
||||
for x in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(gammaln(x))
|
||||
|
||||
def test_j0():
|
||||
for x in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(j0(x))
|
||||
|
||||
def test_j1():
|
||||
|
@ -151,38 +157,38 @@ def test_j1():
|
|||
output_float64(j1(x))
|
||||
|
||||
def test_arctan2():
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(arctan2(x1, x2))
|
||||
|
||||
def test_copysign():
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(copysign(x1, x2))
|
||||
|
||||
def test_fmax():
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(fmax(x1, x2))
|
||||
|
||||
def test_fmin():
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0]:
|
||||
for x1 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-1.0, -0.5, 0.0, 0.5, 1.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(fmin(x1, x2))
|
||||
|
||||
def test_ldexp():
|
||||
for x1 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x1 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-2, -1, 0, 1, 2]:
|
||||
output_float64(ldexp(x1, x2))
|
||||
|
||||
def test_hypot():
|
||||
for x1 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x2 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x1 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(hypot(x1, x2))
|
||||
|
||||
def test_nextafter():
|
||||
for x1 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x2 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0]:
|
||||
for x1 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
for x2 in [-2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2.0, dbl_inf(), -dbl_inf(), dbl_nan()]:
|
||||
output_float64(nextafter(x1, x2))
|
||||
|
||||
def run() -> int32:
|
||||
|
|
Loading…
Reference in New Issue