nac3/nac3core/src/toplevel/builtins.rs

2309 lines
93 KiB
Rust

use std::iter::once;
use indexmap::IndexMap;
use inkwell::{
attributes::{Attribute, AttributeLoc},
types::{BasicMetadataTypeEnum, BasicType},
values::{BasicMetadataValueEnum, BasicValue, CallSiteValue},
IntPredicate,
};
use itertools::Either;
use crate::{
codegen::{
builtin_fns,
classes::{
ArrayLikeValue, NDArrayValue, ProxyType, ProxyValue, RangeType, RangeValue,
TypedArrayLikeAccessor,
},
expr::destructure_range,
irrt::*,
numpy::*,
stmt::exn_constructor,
},
symbol_resolver::SymbolValue,
toplevel::{helper::PrimDef, numpy::make_ndarray_ty},
typecheck::typedef::VarMap,
};
use super::*;
type BuiltinInfo = Vec<(Arc<RwLock<TopLevelDef>>, Option<Stmt>)>;
pub fn get_exn_constructor(
name: &str,
class_id: usize,
cons_id: usize,
unifier: &mut Unifier,
primitives: &PrimitiveStore,
) -> (TopLevelDef, TopLevelDef, Type, Type) {
let int32 = primitives.int32;
let int64 = primitives.int64;
let string = primitives.str;
let exception_fields = vec![
("__name__".into(), int32, true),
("__file__".into(), string, true),
("__line__".into(), int32, true),
("__col__".into(), int32, true),
("__func__".into(), string, true),
("__message__".into(), string, true),
("__param0__".into(), int64, true),
("__param1__".into(), int64, true),
("__param2__".into(), int64, true),
];
let exn_cons_args = vec![
FuncArg {
name: "msg".into(),
ty: string,
default_value: Some(SymbolValue::Str(String::new())),
},
FuncArg { name: "param0".into(), ty: int64, default_value: Some(SymbolValue::I64(0)) },
FuncArg { name: "param1".into(), ty: int64, default_value: Some(SymbolValue::I64(0)) },
FuncArg { name: "param2".into(), ty: int64, default_value: Some(SymbolValue::I64(0)) },
];
let exn_type = unifier.add_ty(TypeEnum::TObj {
obj_id: DefinitionId(class_id),
fields: exception_fields.iter().map(|(a, b, c)| (*a, (*b, *c))).collect(),
params: VarMap::default(),
});
let signature = unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: exn_cons_args,
ret: exn_type,
vars: VarMap::default(),
}));
let fun_def = TopLevelDef::Function {
name: format!("{name}.__init__"),
simple_name: "__init__".into(),
signature,
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(exn_constructor)))),
loc: None,
};
let class_def = TopLevelDef::Class {
name: name.into(),
object_id: DefinitionId(class_id),
type_vars: Vec::default(),
fields: exception_fields,
methods: vec![("__init__".into(), signature, DefinitionId(cons_id))],
ancestors: vec![
TypeAnnotation::CustomClass { id: DefinitionId(class_id), params: Vec::default() },
TypeAnnotation::CustomClass { id: PrimDef::Exception.id(), params: Vec::default() },
],
constructor: Some(signature),
resolver: None,
loc: None,
};
(fun_def, class_def, signature, exn_type)
}
/// Creates a NumPy [`TopLevelDef`] function by code generation.
///
/// * `name`: The name of the implemented NumPy function.
/// * `ret_ty`: The return type of this function.
/// * `param_ty`: The parameters accepted by this function, represented by a tuple of the
/// [parameter type][Type] and the parameter symbol name.
/// * `codegen_callback`: A lambda generating LLVM IR for the implementation of this function.
fn create_fn_by_codegen(
unifier: &mut Unifier,
var_map: &VarMap,
name: &'static str,
ret_ty: Type,
param_ty: &[(Type, &'static str)],
codegen_callback: Box<GenCallCallback>,
) -> Arc<RwLock<TopLevelDef>> {
Arc::new(RwLock::new(TopLevelDef::Function {
name: name.into(),
simple_name: name.into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty,
vars: var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(codegen_callback))),
loc: None,
}))
}
/// Creates a NumPy [`TopLevelDef`] function using an LLVM intrinsic.
///
/// * `name`: The name of the implemented NumPy function.
/// * `ret_ty`: The return type of this function.
/// * `param_ty`: The parameters accepted by this function, represented by a tuple of the
/// [parameter type][Type] and the parameter symbol name.
/// * `intrinsic_fn`: The fully-qualified name of the LLVM intrinsic function.
fn create_fn_by_intrinsic(
unifier: &mut Unifier,
var_map: &VarMap,
name: &'static str,
ret_ty: Type,
params: &[(Type, &'static str)],
intrinsic_fn: &'static str,
) -> Arc<RwLock<TopLevelDef>> {
let param_tys = params.iter().map(|p| p.0).collect_vec();
create_fn_by_codegen(
unifier,
var_map,
name,
ret_ty,
params,
Box::new(move |ctx, _, fun, args, generator| {
let args_ty = fun.0.args.iter().map(|a| a.ty).collect_vec();
assert!(param_tys
.iter()
.zip(&args_ty)
.all(|(expected, actual)| ctx.unifier.unioned(*expected, *actual)));
let args_val = args_ty
.iter()
.zip_eq(args.iter())
.map(|(ty, arg)| arg.1.clone().to_basic_value_enum(ctx, generator, *ty).unwrap())
.map_into::<BasicMetadataValueEnum>()
.collect_vec();
let intrinsic_fn = ctx.module.get_function(intrinsic_fn).unwrap_or_else(|| {
let ret_llvm_ty = ctx.get_llvm_abi_type(generator, ret_ty);
let param_llvm_ty = param_tys
.iter()
.map(|p| ctx.get_llvm_abi_type(generator, *p))
.map_into::<BasicMetadataTypeEnum>()
.collect_vec();
let fn_type = ret_llvm_ty.fn_type(param_llvm_ty.as_slice(), false);
ctx.module.add_function(intrinsic_fn, fn_type, None)
});
let val = ctx
.builder
.build_call(intrinsic_fn, args_val.as_slice(), name)
.map(CallSiteValue::try_as_basic_value)
.map(Either::unwrap_left)
.unwrap();
Ok(val.into())
}),
)
}
/// Creates a unary NumPy [`TopLevelDef`] function using an extern function (e.g. from `libc` or
/// `libm`).
///
/// * `name`: The name of the implemented NumPy function.
/// * `ret_ty`: The return type of this function.
/// * `param_ty`: The parameters accepted by this function, represented by a tuple of the
/// [parameter type][Type] and the parameter symbol name.
/// * `extern_fn`: The fully-qualified name of the extern function used as the implementation.
/// * `attrs`: The list of attributes to apply to this function declaration. Note that `nounwind` is
/// already implied by the C ABI.
fn create_fn_by_extern(
unifier: &mut Unifier,
var_map: &VarMap,
name: &'static str,
ret_ty: Type,
params: &[(Type, &'static str)],
extern_fn: &'static str,
attrs: &'static [&str],
) -> Arc<RwLock<TopLevelDef>> {
let param_tys = params.iter().map(|p| p.0).collect_vec();
create_fn_by_codegen(
unifier,
var_map,
name,
ret_ty,
params,
Box::new(move |ctx, _, fun, args, generator| {
let args_ty = fun.0.args.iter().map(|a| a.ty).collect_vec();
assert!(param_tys
.iter()
.zip(&args_ty)
.all(|(expected, actual)| ctx.unifier.unioned(*expected, *actual)));
let args_val = args_ty
.iter()
.zip_eq(args.iter())
.map(|(ty, arg)| arg.1.clone().to_basic_value_enum(ctx, generator, *ty).unwrap())
.map_into::<BasicMetadataValueEnum>()
.collect_vec();
let intrinsic_fn = ctx.module.get_function(extern_fn).unwrap_or_else(|| {
let ret_llvm_ty = ctx.get_llvm_abi_type(generator, ret_ty);
let param_llvm_ty = param_tys
.iter()
.map(|p| ctx.get_llvm_abi_type(generator, *p))
.map_into::<BasicMetadataTypeEnum>()
.collect_vec();
let fn_type = ret_llvm_ty.fn_type(param_llvm_ty.as_slice(), false);
let func = ctx.module.add_function(extern_fn, fn_type, None);
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id("nounwind"), 0),
);
for attr in attrs {
func.add_attribute(
AttributeLoc::Function,
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
);
}
func
});
let val = ctx
.builder
.build_call(intrinsic_fn, &args_val, name)
.map(CallSiteValue::try_as_basic_value)
.map(Either::unwrap_left)
.unwrap();
Ok(val.into())
}),
)
}
pub fn get_builtins(unifier: &mut Unifier, primitives: &PrimitiveStore) -> BuiltinInfo {
let PrimitiveStore {
int32,
int64,
uint32,
uint64,
float,
bool: boolean,
range,
str: string,
ndarray,
..
} = *primitives;
let ndarray_float = make_ndarray_ty(unifier, primitives, Some(float), None);
let ndarray_float_2d = {
let value = match primitives.size_t {
64 => SymbolValue::U64(2u64),
32 => SymbolValue::U32(2u32),
_ => unreachable!(),
};
let ndims = unifier.add_ty(TypeEnum::TLiteral { values: vec![value], loc: None });
make_ndarray_ty(unifier, primitives, Some(float), Some(ndims))
};
let list_int32 = unifier.add_ty(TypeEnum::TList { ty: int32 });
let num_ty = unifier.get_fresh_var_with_range(
&[int32, int64, float, boolean, uint32, uint64],
Some("N".into()),
None,
);
let num_var_map: VarMap = vec![(num_ty.1, num_ty.0)].into_iter().collect();
let new_type_or_ndarray_ty =
|unifier: &mut Unifier, primitives: &PrimitiveStore, scalar_ty: Type| {
let ndarray = make_ndarray_ty(unifier, primitives, Some(scalar_ty), None);
unifier.get_fresh_var_with_range(&[scalar_ty, ndarray], Some("T".into()), None)
};
let ndarray_num_ty = make_ndarray_ty(unifier, primitives, Some(num_ty.0), None);
let float_or_ndarray_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let float_or_ndarray_var_map: VarMap =
vec![(float_or_ndarray_ty.1, float_or_ndarray_ty.0)].into_iter().collect();
let num_or_ndarray_ty =
unifier.get_fresh_var_with_range(&[num_ty.0, ndarray_num_ty], Some("T".into()), None);
let num_or_ndarray_var_map: VarMap =
vec![(num_ty.1, num_ty.0), (num_or_ndarray_ty.1, num_or_ndarray_ty.0)]
.into_iter()
.collect();
let exception_fields = vec![
("__name__".into(), int32, true),
("__file__".into(), string, true),
("__line__".into(), int32, true),
("__col__".into(), int32, true),
("__func__".into(), string, true),
("__message__".into(), string, true),
("__param0__".into(), int64, true),
("__param1__".into(), int64, true),
("__param2__".into(), int64, true),
];
// for Option, is_some and is_none share the same type: () -> bool,
// and they are methods under the same class `Option`
let (is_some_ty, unwrap_ty, (option_ty_var, option_ty_var_id)) =
if let TypeEnum::TObj { fields, params, .. } = unifier.get_ty(primitives.option).as_ref() {
(
*fields.get(&"is_some".into()).unwrap(),
*fields.get(&"unwrap".into()).unwrap(),
(*params.iter().next().unwrap().1, *params.iter().next().unwrap().0),
)
} else {
unreachable!()
};
let TypeEnum::TObj { fields: ndarray_fields, params: ndarray_params, .. } =
&*unifier.get_ty(primitives.ndarray)
else {
unreachable!()
};
let (ndarray_dtype_ty, ndarray_dtype_var_id) =
ndarray_params.iter().next().map(|(var_id, ty)| (*ty, *var_id)).unwrap();
let (ndarray_ndims_ty, ndarray_ndims_var_id) =
ndarray_params.iter().nth(1).map(|(var_id, ty)| (*ty, *var_id)).unwrap();
let ndarray_copy_ty = *ndarray_fields.get(&"copy".into()).unwrap();
let ndarray_fill_ty = *ndarray_fields.get(&"fill".into()).unwrap();
let top_level_def_list = vec![
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::Int32.id(),
None,
"int32".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::Int64.id(),
None,
"int64".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::Float.id(),
None,
"float".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::Bool.id(),
None,
"bool".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::None.id(),
None,
"none".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::Range.id(),
None,
"range".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::Str.id(),
None,
"str".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelDef::Class {
name: "Exception".into(),
object_id: PrimDef::Exception.id(),
type_vars: Vec::default(),
fields: exception_fields,
methods: Vec::default(),
ancestors: vec![],
constructor: None,
resolver: None,
loc: None,
})),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::UInt32.id(),
None,
"uint32".into(),
None,
None,
))),
Arc::new(RwLock::new(TopLevelComposer::make_top_level_class_def(
PrimDef::UInt64.id(),
None,
"uint64".into(),
None,
None,
))),
Arc::new(RwLock::new({
TopLevelDef::Class {
name: "Option".into(),
object_id: PrimDef::Option.id(),
type_vars: vec![option_ty_var],
fields: vec![],
methods: vec![
("is_some".into(), is_some_ty.0, PrimDef::OptionIsSome.id()),
("is_none".into(), is_some_ty.0, PrimDef::OptionIsNone.id()),
("unwrap".into(), unwrap_ty.0, PrimDef::OptionUnwrap.id()),
],
ancestors: vec![TypeAnnotation::CustomClass {
id: PrimDef::Option.id(),
params: Vec::default(),
}],
constructor: None,
resolver: None,
loc: None,
}
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "Option.is_some".into(),
simple_name: "is_some".into(),
signature: is_some_ty.0,
var_id: vec![option_ty_var_id],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, _, _, generator| {
let expect_ty = obj.clone().unwrap().0;
let obj_val =
obj.unwrap().1.clone().to_basic_value_enum(ctx, generator, expect_ty)?;
let BasicValueEnum::PointerValue(ptr) = obj_val else {
unreachable!("option must be ptr")
};
Ok(Some(ctx.builder.build_is_not_null(ptr, "is_some").map(Into::into).unwrap()))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "Option.is_none".into(),
simple_name: "is_none".into(),
signature: is_some_ty.0,
var_id: vec![option_ty_var_id],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, _, _, generator| {
let expect_ty = obj.clone().unwrap().0;
let obj_val =
obj.unwrap().1.clone().to_basic_value_enum(ctx, generator, expect_ty)?;
let BasicValueEnum::PointerValue(ptr) = obj_val else {
unreachable!("option must be ptr")
};
Ok(Some(ctx.builder.build_is_null(ptr, "is_none").map(Into::into).unwrap()))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "Option.unwrap".into(),
simple_name: "unwrap".into(),
signature: unwrap_ty.0,
var_id: vec![option_ty_var_id],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::create_dummy(String::from(
"handled in gen_expr",
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Class {
name: "ndarray".into(),
object_id: PrimDef::NDArray.id(),
type_vars: vec![ndarray_dtype_ty, ndarray_ndims_ty],
fields: Vec::default(),
methods: vec![
("copy".into(), ndarray_copy_ty.0, PrimDef::NDArrayCopy.id()),
("fill".into(), ndarray_fill_ty.0, PrimDef::NDArrayFill.id()),
],
ancestors: Vec::default(),
constructor: None,
resolver: None,
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "ndarray.copy".into(),
simple_name: "copy".into(),
signature: ndarray_copy_ty.0,
var_id: vec![ndarray_dtype_var_id, ndarray_ndims_var_id],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
gen_ndarray_copy(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "ndarray.fill".into(),
simple_name: "fill".into(),
signature: ndarray_fill_ty.0,
var_id: vec![ndarray_dtype_var_id, ndarray_ndims_var_id],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
gen_ndarray_fill(ctx, &obj, fun, &args, generator)?;
Ok(None)
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "int32".into(),
simple_name: "int32".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_int32(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "int64".into(),
simple_name: "int64".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_int64(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "uint32".into(),
simple_name: "uint32".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_uint32(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "uint64".into(),
simple_name: "uint64".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_uint64(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "float".into(),
simple_name: "float".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_float(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
})),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_ndarray",
ndarray_float,
// We are using List[int32] here, as I don't know a way to specify an n-tuple bound on a
// type variable
&[(list_int32, "shape")],
Box::new(|ctx, obj, fun, args, generator| {
gen_ndarray_empty(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_empty",
ndarray_float,
// We are using List[int32] here, as I don't know a way to specify an n-tuple bound on a
// type variable
&[(list_int32, "shape")],
Box::new(|ctx, obj, fun, args, generator| {
gen_ndarray_empty(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_zeros",
ndarray_float,
// We are using List[int32] here, as I don't know a way to specify an n-tuple bound on a
// type variable
&[(list_int32, "shape")],
Box::new(|ctx, obj, fun, args, generator| {
gen_ndarray_zeros(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_ones",
ndarray_float,
// We are using List[int32] here, as I don't know a way to specify an n-tuple bound on a
// type variable
&[(list_int32, "shape")],
Box::new(|ctx, obj, fun, args, generator| {
gen_ndarray_ones(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
),
{
let tv = unifier.get_fresh_var(Some("T".into()), None);
create_fn_by_codegen(
unifier,
&[(tv.1, tv.0)].into_iter().collect(),
"np_full",
ndarray,
// We are using List[int32] here, as I don't know a way to specify an n-tuple bound on a
// type variable
&[(list_int32, "shape"), (tv.0, "fill_value")],
Box::new(|ctx, obj, fun, args, generator| {
gen_ndarray_full(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
)
},
{
let tv = unifier.get_fresh_var(Some("T".into()), None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_array".into(),
simple_name: "np_array".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "object".into(), ty: tv.0, default_value: None },
FuncArg {
name: "copy".into(),
ty: boolean,
default_value: Some(SymbolValue::Bool(true)),
},
FuncArg {
name: "ndmin".into(),
ty: int32,
default_value: Some(SymbolValue::U32(0)),
},
],
ret: ndarray,
vars: VarMap::from([(tv.1, tv.0)]),
})),
var_id: vec![tv.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
gen_ndarray_array(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
},
)))),
loc: None,
}))
},
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_eye".into(),
simple_name: "np_eye".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "N".into(), ty: int32, default_value: None },
// TODO(Derppening): Default values current do not work?
FuncArg {
name: "M".into(),
ty: int32,
default_value: Some(SymbolValue::OptionNone),
},
FuncArg {
name: "k".into(),
ty: int32,
default_value: Some(SymbolValue::I32(0)),
},
],
ret: ndarray_float_2d,
vars: VarMap::default(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, obj, fun, args, generator| {
gen_ndarray_eye(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
},
)))),
loc: None,
})),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_identity",
ndarray_float_2d,
&[(int32, "n")],
Box::new(|ctx, obj, fun, args, generator| {
gen_ndarray_identity(ctx, &obj, fun, &args, generator)
.map(|val| Some(val.as_basic_value_enum()))
}),
),
{
let common_ndim =
unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None);
let ndarray_int32 =
make_ndarray_ty(unifier, primitives, Some(int32), Some(common_ndim.0));
let ndarray_float =
make_ndarray_ty(unifier, primitives, Some(float), Some(common_ndim.0));
let p0_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let ret_ty =
unifier.get_fresh_var_with_range(&[int32, ndarray_int32], Some("R".into()), None);
create_fn_by_codegen(
unifier,
&[(common_ndim.1, common_ndim.0), (p0_ty.1, p0_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
"round",
ret_ty.0,
&[(p0_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_round(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.int32,
)?))
}),
)
},
{
let common_ndim =
unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None);
let ndarray_int64 =
make_ndarray_ty(unifier, primitives, Some(int64), Some(common_ndim.0));
let ndarray_float =
make_ndarray_ty(unifier, primitives, Some(float), Some(common_ndim.0));
let p0_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let ret_ty =
unifier.get_fresh_var_with_range(&[int64, ndarray_int64], Some("R".into()), None);
create_fn_by_codegen(
unifier,
&[(common_ndim.1, common_ndim.0), (p0_ty.1, p0_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
"round64",
ret_ty.0,
&[(p0_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_round(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.int64,
)?))
}),
)
},
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_round",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_numpy_round(generator, ctx, (arg_ty, arg))?))
}),
),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "range".into(),
simple_name: "range".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "start".into(), ty: int32, default_value: None },
FuncArg {
name: "stop".into(),
ty: int32,
// placeholder
default_value: Some(SymbolValue::I32(0)),
},
FuncArg {
name: "step".into(),
ty: int32,
default_value: Some(SymbolValue::I32(1)),
},
],
ret: range,
vars: VarMap::default(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, _, args, generator| {
let mut start = None;
let mut stop = None;
let mut step = None;
let int32 = ctx.ctx.i32_type();
let ty_i32 = ctx.primitives.int32;
for (i, arg) in args.iter().enumerate() {
if arg.0 == Some("start".into()) {
start = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if arg.0 == Some("stop".into()) {
stop = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if arg.0 == Some("step".into()) {
step = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 0 {
start = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 1 {
stop = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
} else if i == 2 {
step = Some(
arg.1
.clone()
.to_basic_value_enum(ctx, generator, ty_i32)?
.into_int_value(),
);
}
}
let step = match step {
Some(step) => {
// assert step != 0, throw exception if not
let not_zero = ctx
.builder
.build_int_compare(
IntPredicate::NE,
step,
step.get_type().const_zero(),
"range_step_ne",
)
.unwrap();
ctx.make_assert(
generator,
not_zero,
"0:ValueError",
"range() step must not be zero",
[None, None, None],
ctx.current_loc,
);
step
}
None => int32.const_int(1, false),
};
let stop = stop.unwrap_or_else(|| {
let v = start.unwrap();
start = None;
v
});
let start = start.unwrap_or_else(|| int32.const_zero());
let ptr = RangeType::new(ctx.ctx).new_value(generator, ctx, Some("range"));
ptr.store_start(ctx, start);
ptr.store_end(ctx, stop);
ptr.store_step(ctx, step);
Ok(Some(ptr.as_base_value().into()))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "str".into(),
simple_name: "str".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "s".into(), ty: string, default_value: None }],
ret: string,
vars: VarMap::default(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
Ok(Some(args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?))
},
)))),
loc: None,
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "bool".into(),
simple_name: "bool".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_bool(generator, ctx, (arg_ty, arg))?))
},
)))),
loc: None,
})),
{
let common_ndim =
unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None);
let ndarray_int32 =
make_ndarray_ty(unifier, primitives, Some(int32), Some(common_ndim.0));
let ndarray_float =
make_ndarray_ty(unifier, primitives, Some(float), Some(common_ndim.0));
let p0_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let ret_ty =
unifier.get_fresh_var_with_range(&[int32, ndarray_int32], Some("R".into()), None);
create_fn_by_codegen(
unifier,
&[(common_ndim.1, common_ndim.0), (p0_ty.1, p0_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
"floor",
ret_ty.0,
&[(p0_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_floor(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.int32,
)?))
}),
)
},
{
let common_ndim =
unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None);
let ndarray_int64 =
make_ndarray_ty(unifier, primitives, Some(int64), Some(common_ndim.0));
let ndarray_float =
make_ndarray_ty(unifier, primitives, Some(float), Some(common_ndim.0));
let p0_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let ret_ty =
unifier.get_fresh_var_with_range(&[int64, ndarray_int64], Some("R".into()), None);
create_fn_by_codegen(
unifier,
&[(common_ndim.1, common_ndim.0), (p0_ty.1, p0_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
"floor64",
ret_ty.0,
&[(p0_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_floor(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.int64,
)?))
}),
)
},
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_floor",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_floor(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.float,
)?))
}),
),
{
let common_ndim =
unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None);
let ndarray_int32 =
make_ndarray_ty(unifier, primitives, Some(int32), Some(common_ndim.0));
let ndarray_float =
make_ndarray_ty(unifier, primitives, Some(float), Some(common_ndim.0));
let p0_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let ret_ty =
unifier.get_fresh_var_with_range(&[int32, ndarray_int32], Some("R".into()), None);
create_fn_by_codegen(
unifier,
&[(common_ndim.1, common_ndim.0), (p0_ty.1, p0_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
"ceil",
ret_ty.0,
&[(p0_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_ceil(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.int32,
)?))
}),
)
},
{
let common_ndim =
unifier.get_fresh_const_generic_var(primitives.usize(), Some("N".into()), None);
let ndarray_int64 =
make_ndarray_ty(unifier, primitives, Some(int64), Some(common_ndim.0));
let ndarray_float =
make_ndarray_ty(unifier, primitives, Some(float), Some(common_ndim.0));
let p0_ty =
unifier.get_fresh_var_with_range(&[float, ndarray_float], Some("T".into()), None);
let ret_ty =
unifier.get_fresh_var_with_range(&[int64, ndarray_int64], Some("R".into()), None);
create_fn_by_codegen(
unifier,
&[(common_ndim.1, common_ndim.0), (p0_ty.1, p0_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
"ceil64",
ret_ty.0,
&[(p0_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_ceil(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.int64,
)?))
}),
)
},
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_ceil",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "n")],
Box::new(|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(Some(builtin_fns::call_ceil(
generator,
ctx,
(arg_ty, arg),
ctx.primitives.float,
)?))
}),
),
Arc::new(RwLock::new({
let tvar = unifier.get_fresh_var(Some("L".into()), None);
let list = unifier.add_ty(TypeEnum::TList { ty: tvar.0 });
let ndims =
unifier.get_fresh_const_generic_var(primitives.uint64, Some("N".into()), None);
let ndarray = make_ndarray_ty(unifier, primitives, Some(tvar.0), Some(ndims.0));
let arg_ty = unifier.get_fresh_var_with_range(
&[list, ndarray, primitives.range],
Some("I".into()),
None,
);
TopLevelDef::Function {
name: "len".into(),
simple_name: "len".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "ls".into(), ty: arg_ty.0, default_value: None }],
ret: int32,
vars: vec![(tvar.1, tvar.0), (arg_ty.1, arg_ty.0)].into_iter().collect(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let range_ty = ctx.primitives.range;
let arg_ty = fun.0.args[0].ty;
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
Ok(if ctx.unifier.unioned(arg_ty, range_ty) {
let arg =
RangeValue::from_ptr_val(arg.into_pointer_value(), Some("range"));
let (start, end, step) = destructure_range(ctx, arg);
Some(
calculate_len_for_slice_range(generator, ctx, start, end, step)
.into(),
)
} else {
match &*ctx.unifier.get_ty_immutable(arg_ty) {
TypeEnum::TList { .. } => {
let int32 = ctx.ctx.i32_type();
let zero = int32.const_zero();
let len = ctx
.build_gep_and_load(
arg.into_pointer_value(),
&[zero, int32.const_int(1, false)],
None,
)
.into_int_value();
if len.get_type().get_bit_width() == 32 {
Some(len.into())
} else {
Some(
ctx.builder
.build_int_truncate(len, int32, "len2i32")
.map(Into::into)
.unwrap(),
)
}
}
TypeEnum::TObj { obj_id, .. }
if *obj_id == PrimDef::NDArray.id() =>
{
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let arg = NDArrayValue::from_ptr_val(
arg.into_pointer_value(),
llvm_usize,
None,
);
let ndims = arg.dim_sizes().size(ctx, generator);
ctx.make_assert(
generator,
ctx.builder
.build_int_compare(
IntPredicate::NE,
ndims,
llvm_usize.const_zero(),
"",
)
.unwrap(),
"0:TypeError",
"len() of unsized object",
[None, None, None],
ctx.current_loc,
);
let len = unsafe {
arg.dim_sizes().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_zero(),
None,
)
};
if len.get_type().get_bit_width() == 32 {
Some(len.into())
} else {
Some(
ctx.builder
.build_int_truncate(len, llvm_i32, "len")
.map(Into::into)
.unwrap(),
)
}
}
_ => unreachable!(),
}
})
},
)))),
loc: None,
}
})),
Arc::new(RwLock::new(TopLevelDef::Function {
name: "min".into(),
simple_name: "min".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "m".into(), ty: num_ty.0, default_value: None },
FuncArg { name: "n".into(), ty: num_ty.0, default_value: None },
],
ret: num_ty.0,
vars: num_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let m_ty = fun.0.args[0].ty;
let n_ty = fun.0.args[1].ty;
let m_val = args[0].1.clone().to_basic_value_enum(ctx, generator, m_ty)?;
let n_val = args[1].1.clone().to_basic_value_enum(ctx, generator, n_ty)?;
Ok(Some(builtin_fns::call_min(ctx, (m_ty, m_val), (n_ty, n_val))))
},
)))),
loc: None,
})),
{
let ret_ty = unifier.get_fresh_var(Some("R".into()), None);
let var_map = num_or_ndarray_var_map
.clone()
.into_iter()
.chain(once((ret_ty.1, ret_ty.0)))
.collect::<IndexMap<_, _>>();
create_fn_by_codegen(
unifier,
&var_map,
"np_min",
ret_ty.0,
&[(float_or_ndarray_ty.0, "a")],
Box::new(|ctx, _, fun, args, generator| {
let a_ty = fun.0.args[0].ty;
let a = args[0].1.clone().to_basic_value_enum(ctx, generator, a_ty)?;
Ok(Some(builtin_fns::call_numpy_min(generator, ctx, (a_ty, a))?))
}),
)
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, num_ty.0);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, num_ty.0);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_minimum".into(),
simple_name: "np_minimum".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x2_ty = fun.0.args[1].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_minimum(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
Arc::new(RwLock::new(TopLevelDef::Function {
name: "max".into(),
simple_name: "max".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![
FuncArg { name: "m".into(), ty: num_ty.0, default_value: None },
FuncArg { name: "n".into(), ty: num_ty.0, default_value: None },
],
ret: num_ty.0,
vars: num_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let m_ty = fun.0.args[0].ty;
let n_ty = fun.0.args[1].ty;
let m_val = args[0].1.clone().to_basic_value_enum(ctx, generator, m_ty)?;
let n_val = args[1].1.clone().to_basic_value_enum(ctx, generator, n_ty)?;
Ok(Some(builtin_fns::call_max(ctx, (m_ty, m_val), (n_ty, n_val))))
},
)))),
loc: None,
})),
{
let ret_ty = unifier.get_fresh_var(Some("R".into()), None);
let var_map = num_or_ndarray_var_map
.clone()
.into_iter()
.chain(once((ret_ty.1, ret_ty.0)))
.collect::<IndexMap<_, _>>();
create_fn_by_codegen(
unifier,
&var_map,
"np_max",
ret_ty.0,
&[(float_or_ndarray_ty.0, "a")],
Box::new(|ctx, _, fun, args, generator| {
let a_ty = fun.0.args[0].ty;
let a = args[0].1.clone().to_basic_value_enum(ctx, generator, a_ty)?;
Ok(Some(builtin_fns::call_numpy_max(generator, ctx, (a_ty, a))?))
}),
)
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, num_ty.0);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, num_ty.0);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_maximum".into(),
simple_name: "np_maximum".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x2_ty = fun.0.args[1].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_maximum(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
Arc::new(RwLock::new(TopLevelDef::Function {
name: "abs".into(),
simple_name: "abs".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg {
name: "n".into(),
ty: num_or_ndarray_ty.0,
default_value: None,
}],
ret: num_or_ndarray_ty.0,
vars: num_or_ndarray_var_map.clone(),
})),
var_id: Vec::default(),
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let n_ty = fun.0.args[0].ty;
let n_val = args[0].1.clone().to_basic_value_enum(ctx, generator, n_ty)?;
Ok(Some(builtin_fns::call_abs(generator, ctx, (n_ty, n_val))?))
},
)))),
loc: None,
})),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_isnan",
boolean,
&[(float, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_isnan(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&VarMap::new(),
"np_isinf",
boolean,
&[(float, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_isinf(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_sin",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_sin(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_cos",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_cos(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_exp",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_exp(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_exp2",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_exp2(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_log",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_log(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_log10",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_log10(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_log2",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_log2(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_fabs",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_fabs(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_sqrt",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_sqrt(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_rint",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_rint(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_tan",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_tan(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_arcsin",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_arcsin(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_arccos",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_arccos(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_arctan",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_arctan(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_sinh",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_sinh(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_cosh",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_cosh(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_tanh",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_tanh(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_arcsinh",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_arcsinh(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_arccosh",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_arccosh(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_arctanh",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_arctanh(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_expm1",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_expm1(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"np_cbrt",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_numpy_cbrt(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"sp_spec_erf",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "z")],
Box::new(|ctx, _, fun, args, generator| {
let z_ty = fun.0.args[0].ty;
let z_val = args[0].1.clone().to_basic_value_enum(ctx, generator, z_ty)?;
Ok(Some(builtin_fns::call_scipy_special_erf(generator, ctx, (z_ty, z_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"sp_spec_erfc",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let z_ty = fun.0.args[0].ty;
let z_val = args[0].1.clone().to_basic_value_enum(ctx, generator, z_ty)?;
Ok(Some(builtin_fns::call_scipy_special_erfc(generator, ctx, (z_ty, z_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"sp_spec_gamma",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "z")],
Box::new(|ctx, _, fun, args, generator| {
let z_ty = fun.0.args[0].ty;
let z_val = args[0].1.clone().to_basic_value_enum(ctx, generator, z_ty)?;
Ok(Some(builtin_fns::call_scipy_special_gamma(generator, ctx, (z_ty, z_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"sp_spec_gammaln",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_scipy_special_gammaln(generator, ctx, (x_ty, x_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"sp_spec_j0",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let z_ty = fun.0.args[0].ty;
let z_val = args[0].1.clone().to_basic_value_enum(ctx, generator, z_ty)?;
Ok(Some(builtin_fns::call_scipy_special_j0(generator, ctx, (z_ty, z_val))?))
}),
),
create_fn_by_codegen(
unifier,
&float_or_ndarray_var_map,
"sp_spec_j1",
float_or_ndarray_ty.0,
&[(float_or_ndarray_ty.0, "x")],
Box::new(|ctx, _, fun, args, generator| {
let x_ty = fun.0.args[0].ty;
let x_val = args[0].1.clone().to_basic_value_enum(ctx, generator, x_ty)?;
Ok(Some(builtin_fns::call_scipy_special_j1(generator, ctx, (x_ty, x_val))?))
}),
),
// Not mapped: jv/yv, libm only supports integer orders.
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_arctan2".into(),
simple_name: "np_arctan2".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![ret_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_arctan2(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_copysign".into(),
simple_name: "np_copysign".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![ret_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_copysign(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_fmax".into(),
simple_name: "np_fmax".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_fmax(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_fmin".into(),
simple_name: "np_fmin".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_fmin(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, int32);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_ldexp".into(),
simple_name: "np_ldexp".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_ldexp(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_hypot".into(),
simple_name: "np_hypot".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_hypot(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
{
let x1_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let x2_ty = new_type_or_ndarray_ty(unifier, primitives, float);
let param_ty = &[(x1_ty.0, "x1"), (x2_ty.0, "x2")];
let ret_ty = unifier.get_fresh_var(None, None);
Arc::new(RwLock::new(TopLevelDef::Function {
name: "np_nextafter".into(),
simple_name: "np_nextafter".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: param_ty
.iter()
.map(|p| FuncArg { name: p.1.into(), ty: p.0, default_value: None })
.collect(),
ret: ret_ty.0,
vars: [(x1_ty.1, x1_ty.0), (x2_ty.1, x2_ty.0), (ret_ty.1, ret_ty.0)]
.into_iter()
.collect(),
})),
var_id: vec![x1_ty.1, x2_ty.1],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let x1_ty = fun.0.args[0].ty;
let x1_val =
args[0].1.clone().to_basic_value_enum(ctx, generator, x1_ty)?;
let x2_ty = fun.0.args[1].ty;
let x2_val =
args[1].1.clone().to_basic_value_enum(ctx, generator, x2_ty)?;
Ok(Some(builtin_fns::call_numpy_nextafter(
generator,
ctx,
(x1_ty, x1_val),
(x2_ty, x2_val),
)?))
},
)))),
loc: None,
}))
},
Arc::new(RwLock::new(TopLevelDef::Function {
name: "Some".into(),
simple_name: "Some".into(),
signature: unifier.add_ty(TypeEnum::TFunc(FunSignature {
args: vec![FuncArg { name: "n".into(), ty: option_ty_var, default_value: None }],
ret: primitives.option,
vars: VarMap::from([(option_ty_var_id, option_ty_var)]),
})),
var_id: vec![option_ty_var_id],
instance_to_symbol: HashMap::default(),
instance_to_stmt: HashMap::default(),
resolver: None,
codegen_callback: Some(Arc::new(GenCall::new(Box::new(
|ctx, _, fun, args, generator| {
let arg_ty = fun.0.args[0].ty;
let arg_val = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
let alloca = generator
.gen_var_alloc(ctx, arg_val.get_type(), Some("alloca_some"))
.unwrap();
ctx.builder.build_store(alloca, arg_val).unwrap();
Ok(Some(alloca.into()))
},
)))),
loc: None,
})),
];
let ast_list: Vec<Option<Stmt<()>>> = (0..top_level_def_list.len()).map(|_| None).collect();
izip!(top_level_def_list, ast_list).collect_vec()
}