core/ndstrides: implement np_size()
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be19165ead
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@ -15,6 +15,7 @@ use crate::{
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codegen::{
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codegen::{
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builtin_fns,
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builtin_fns,
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classes::{ProxyValue, RangeValue},
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classes::{ProxyValue, RangeValue},
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model::*,
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numpy::*,
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numpy::*,
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object::{any::AnyObject, ndarray::NDArrayObject},
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object::{any::AnyObject, ndarray::NDArrayObject},
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stmt::exn_constructor,
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stmt::exn_constructor,
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@ -512,7 +513,7 @@ impl<'a> BuiltinBuilder<'a> {
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| PrimDef::FunNpEye
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| PrimDef::FunNpEye
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| PrimDef::FunNpIdentity => self.build_ndarray_other_factory_function(prim),
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| PrimDef::FunNpIdentity => self.build_ndarray_other_factory_function(prim),
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PrimDef::FunNpShape | PrimDef::FunNpStrides => {
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PrimDef::FunNpSize | PrimDef::FunNpShape | PrimDef::FunNpStrides => {
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self.build_ndarray_property_getter_function(prim)
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self.build_ndarray_property_getter_function(prim)
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}
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}
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@ -1391,7 +1392,10 @@ impl<'a> BuiltinBuilder<'a> {
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}
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}
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fn build_ndarray_property_getter_function(&mut self, prim: PrimDef) -> TopLevelDef {
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fn build_ndarray_property_getter_function(&mut self, prim: PrimDef) -> TopLevelDef {
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debug_assert_prim_is_allowed(prim, &[PrimDef::FunNpShape, PrimDef::FunNpStrides]);
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debug_assert_prim_is_allowed(
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prim,
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&[PrimDef::FunNpSize, PrimDef::FunNpShape, PrimDef::FunNpStrides],
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);
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let in_ndarray_ty = self.unifier.get_fresh_var_with_range(
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let in_ndarray_ty = self.unifier.get_fresh_var_with_range(
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&[self.primitives.ndarray],
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&[self.primitives.ndarray],
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@ -1400,6 +1404,27 @@ impl<'a> BuiltinBuilder<'a> {
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);
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);
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match prim {
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match prim {
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PrimDef::FunNpSize => create_fn_by_codegen(
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self.unifier,
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&into_var_map([in_ndarray_ty]),
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prim.name(),
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self.primitives.int32,
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&[(in_ndarray_ty.ty, "a")],
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Box::new(|ctx, obj, fun, args, generator| {
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assert!(obj.is_none());
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assert_eq!(args.len(), 1);
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let ndarray_ty = fun.0.args[0].ty;
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let ndarray =
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args[0].1.clone().to_basic_value_enum(ctx, generator, ndarray_ty)?;
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let ndarray = AnyObject { ty: ndarray_ty, value: ndarray };
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let ndarray = NDArrayObject::from_object(generator, ctx, ndarray);
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let size =
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ndarray.size(generator, ctx).truncate_or_bit_cast(generator, ctx, Int32);
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Ok(Some(size.value.as_basic_value_enum()))
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}),
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),
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PrimDef::FunNpShape | PrimDef::FunNpStrides => {
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PrimDef::FunNpShape | PrimDef::FunNpStrides => {
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// The function signatures of `np_shape` an `np_size` are the same.
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// The function signatures of `np_shape` an `np_size` are the same.
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// Mixed together for convenience.
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// Mixed together for convenience.
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@ -54,6 +54,7 @@ pub enum PrimDef {
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FunNpIdentity,
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FunNpIdentity,
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// NumPy ndarray property getters
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// NumPy ndarray property getters
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FunNpSize,
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FunNpShape,
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FunNpShape,
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FunNpStrides,
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FunNpStrides,
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@ -244,6 +245,7 @@ impl PrimDef {
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PrimDef::FunNpIdentity => fun("np_identity", None),
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PrimDef::FunNpIdentity => fun("np_identity", None),
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// NumPy NDArray property getters,
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// NumPy NDArray property getters,
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PrimDef::FunNpSize => fun("np_size", None),
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PrimDef::FunNpShape => fun("np_shape", None),
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PrimDef::FunNpShape => fun("np_shape", None),
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PrimDef::FunNpStrides => fun("np_strides", None),
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PrimDef::FunNpStrides => fun("np_strides", None),
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@ -180,6 +180,7 @@ def patch(module):
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module.np_array = np.array
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module.np_array = np.array
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# NumPy NDArray property getters
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# NumPy NDArray property getters
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module.np_size = np.size
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module.np_shape = np.shape
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module.np_shape = np.shape
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module.np_strides = lambda ndarray: ndarray.strides
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module.np_strides = lambda ndarray: ndarray.strides
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