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>, Option)>; 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, ) -> Arc> { 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> { 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::() .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::() .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> { 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::() .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::() .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::>(); 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::>(); 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>> = (0..top_level_def_list.len()).map(|_| None).collect(); izip!(top_level_def_list, ast_list).collect_vec() }