feat: Type check array comprehensions

guppylang/checker/expr_checker.py

@@ -60,6 +60,7 @@
 from guppylang.experimental import check_function_tensors_enabled, check_lists_enabled
 from guppylang.nodes import (
     DesugaredGenerator,
+    DesugaredGeneratorExpr,
     DesugaredListComp,
     FieldAccessAndDrop,
     GlobalName,
@@ -228,7 +229,9 @@ def visit_DesugaredListComp(
     ) -> tuple[ast.expr, Subst]:
         if not is_list_type(ty):
             return self._fail(ty, node)
-        node, elt_ty = synthesize_comprehension(node, node.generators, self.ctx)
+        node.generators, node.elt, elt_ty = synthesize_comprehension(
+            node, node.generators, node.elt, self.ctx
+        )
         subst = unify(get_element_type(ty), elt_ty, {})
         if subst is None:
             actual = list_type(elt_ty)
@@ -446,10 +449,23 @@ def visit_List(self, node: ast.List) -> tuple[ast.expr, Type]:
         return node, list_type(el_ty)
 
     def visit_DesugaredListComp(self, node: DesugaredListComp) -> tuple[ast.expr, Type]:
-        node, elt_ty = synthesize_comprehension(node, node.generators, self.ctx)
+        node.generators, node.elt, elt_ty = synthesize_comprehension(
+            node, node.generators, node.elt, self.ctx
+        )
         result_ty = list_type(elt_ty)
         return node, result_ty
 
+    def visit_DesugaredGeneratorExpr(
+        self, node: DesugaredGeneratorExpr
+    ) -> tuple[ast.expr, Type]:
+        # This is a generator in an arbitrary expression position. We don't support
+        # generators as first-class value yet, so we always error out here. Special
+        # cases where generator are allowed need to explicitly check for them (e.g. see
+        # the handling of array comprehensions in the compiler for the `array` function)
+        raise GuppyError(
+            "Generator expressions are not supported in this positions", node
+        )
+
     def visit_UnaryOp(self, node: ast.UnaryOp) -> tuple[ast.expr, Type]:
         # We need to synthesise the argument type, so we can look up dunder methods
         node.operand, op_ty = self.synthesize(node.operand)
@@ -1017,15 +1033,15 @@ def to_bool(node: ast.expr, node_ty: Type, ctx: Context) -> tuple[ast.expr, Type
 
 
 def synthesize_comprehension(
-    node: DesugaredListComp, gens: list[DesugaredGenerator], ctx: Context
-) -> tuple[DesugaredListComp, Type]:
+    node: AstNode, gens: list[DesugaredGenerator], elt: ast.expr, ctx: Context
+) -> tuple[list[DesugaredGenerator], ast.expr, Type]:
     """Helper function to synthesise the element type of a list comprehension."""
     from guppylang.checker.stmt_checker import StmtChecker
 
     # If there are no more generators left, we can check the list element
     if not gens:
-        node.elt, elt_ty = ExprSynthesizer(ctx).synthesize(node.elt)
-        return node, elt_ty
+        elt, elt_ty = ExprSynthesizer(ctx).synthesize(elt)
+        return gens, elt, elt_ty
 
     # Check the iterator in the outer context
     gen, *gens = gens
@@ -1049,12 +1065,12 @@ def synthesize_comprehension(
         gen.ifs[i], _ = to_bool(gen.ifs[i], if_ty, inner_ctx)
 
     # Check remaining generators
-    node, elt_ty = synthesize_comprehension(node, gens, inner_ctx)
+    gens, elt, elt_ty = synthesize_comprehension(node, gens, elt, inner_ctx)
 
     # The iter finalizer is again checked in the outer context
     gen.iterend, iterend_ty = ExprSynthesizer(ctx).synthesize(gen.iterend)
     gen.iterend = with_type(iterend_ty, gen.iterend)
-    return node, elt_ty
+    return [gen, *gens], elt, elt_ty
 
 
 def eval_py_expr(node: PyExpr, ctx: Context) -> Any:

guppylang/prelude/_internal/checker.py

@@ -1,6 +1,8 @@
 import ast
 from typing import cast
 
+from typing_extensions import assert_never
+
 from guppylang.ast_util import AstNode, with_loc, with_type
 from guppylang.checker.core import Context
 from guppylang.checker.expr_checker import (
@@ -10,6 +12,7 @@
     check_num_args,
     check_type_against,
     synthesize_call,
+    synthesize_comprehension,
 )
 from guppylang.definition.custom import (
     CustomCallChecker,
@@ -19,14 +22,22 @@
 from guppylang.definition.struct import CheckedStructDef, RawStructDef
 from guppylang.definition.value import CallableDef
 from guppylang.error import GuppyError, GuppyTypeError, InternalGuppyError
-from guppylang.nodes import GlobalCall, ResultExpr
+from guppylang.nodes import (
+    DesugaredArrayComp,
+    DesugaredGeneratorExpr,
+    GlobalCall,
+    MakeIter,
+    ResultExpr,
+)
 from guppylang.tys.arg import ConstArg, TypeArg
 from guppylang.tys.builtin import (
     array_type,
     bool_type,
+    get_iter_size,
     int_type,
     is_array_type,
     is_bool_type,
+    is_sized_iter_type,
     sized_iter_type,
 )
 from guppylang.tys.const import Const, ConstValue
@@ -195,47 +206,107 @@ class NewArrayChecker(CustomCallChecker):
     """Function call checker for the `array.__new__` function."""
 
     def synthesize(self, args: list[ast.expr]) -> tuple[ast.expr, Type]:
-        if len(args) == 0:
-            raise GuppyTypeError(
-                "Cannot infer the array element type. Consider adding a type "
-                "annotation.",
-                self.node,
-            )
-        [fst, *rest] = args
-        fst, ty = ExprSynthesizer(self.ctx).synthesize(fst)
-        checker = ExprChecker(self.ctx)
-        for i in range(len(rest)):
-            rest[i], subst = checker.check(rest[i], ty)
-            assert len(subst) == 0, "Array element type is closed"
-        result_ty = array_type(ty, len(args))
-        call = GlobalCall(
-            def_id=self.func.id, args=[fst, *rest], type_args=result_ty.args
-        )
-        return with_loc(self.node, call), result_ty
+        match args:
+            case []:
+                raise GuppyTypeError(
+                    "Cannot infer the array element type. Consider adding a type "
+                    "annotation.",
+                    self.node,
+                )
+            # Either an array comprehension
+            case [DesugaredGeneratorExpr() as compr]:
+                return self.synthesize_array_comprehension(compr)
+            # Or a list of array elements
+            case [fst, *rest]:
+                fst, ty = ExprSynthesizer(self.ctx).synthesize(fst)
+                checker = ExprChecker(self.ctx)
+                for i in range(len(rest)):
+                    rest[i], subst = checker.check(rest[i], ty)
+                    assert len(subst) == 0, "Array element type is closed"
+                result_ty = array_type(ty, len(args))
+                call = GlobalCall(
+                    def_id=self.func.id, args=[fst, *rest], type_args=result_ty.args
+                )
+                return with_loc(self.node, call), result_ty
+            case args:
+                return assert_never(args)  # type: ignore[arg-type]
 
     def check(self, args: list[ast.expr], ty: Type) -> tuple[ast.expr, Subst]:
         if not is_array_type(ty):
             raise GuppyTypeError(
                 f"Expected expression of type `{ty}`, got `array`", self.node
             )
+        subst: Subst = {}
         match ty.args:
             case [TypeArg(ty=elem_ty), ConstArg(ConstValue(value=int(length)))]:
-                subst: Subst = {}
-                checker = ExprChecker(self.ctx)
-                for i in range(len(args)):
-                    args[i], s = checker.check(args[i], elem_ty.substitute(subst))
-                    subst |= s
-                if len(args) != length:
-                    raise GuppyTypeError(
-                        f"Expected expression of type `{ty}`, got "
-                        f"`array[{elem_ty}, {len(args)}]`",
-                        self.node,
-                    )
-                call = GlobalCall(def_id=self.func.id, args=args, type_args=ty.args)
-                return with_loc(self.node, call), subst
+                match args:
+                    # Either an array comprehension
+                    case [DesugaredGeneratorExpr() as compr]:
+                        # TODO: We could use the type information to infer some stuff
+                        #  in the comprehension
+                        arr_compr, res_ty = self.synthesize_array_comprehension(compr)
+                        subst, _ = check_type_against(res_ty, ty, self.node)
+                        return arr_compr, subst
+                    # Or a list of array elements
+                    case args:
+                        checker = ExprChecker(self.ctx)
+                        for i in range(len(args)):
+                            args[i], s = checker.check(
+                                args[i], elem_ty.substitute(subst)
+                            )
+                            subst |= s
+                        if len(args) != length:
+                            raise GuppyTypeError(
+                                f"Expected expression of type `{ty}`, got "
+                                f"`array[{elem_ty}, {len(args)}]`",
+                                self.node,
+                            )
+                        call = GlobalCall(
+                            def_id=self.func.id, args=args, type_args=ty.args
+                        )
+                        return with_loc(self.node, call), subst
             case type_args:
                 raise InternalGuppyError(f"Invalid array type args: {type_args}")
 
+    def synthesize_array_comprehension(
+        self, compr: DesugaredGeneratorExpr
+    ) -> tuple[DesugaredArrayComp, Type]:
+        # Array comprehensions require a static size. To keep things simple, we'll only
+        # allow a single generator for now, so we don't have to reason about products
+        # of iterator sizes.
+        if len(compr.generators) > 1:
+            # Individual generator objects unfortunately don't have a span in Python's
+            # AST, so we have to use the whole expression span
+            raise GuppyError("Nested array comprehensions are not supported", compr)
+        [gen] = compr.generators
+        # Similarly, dynamic if guards are not allowed
+        if gen.ifs:
+            raise GuppyError(
+                "If guards are not allowed in array comprehensions", gen.ifs[0]
+            )
+        # Extract the iterator size
+        match gen.iter_assign:
+            case ast.Assign(value=MakeIter() as make_iter):
+                make_iter.value, iter_ty = ExprSynthesizer(self.ctx).synthesize(
+                    make_iter.value
+                )
+                # The iterator must have a static size hint
+                if not is_sized_iter_type(iter_ty):
+                    raise GuppyError(
+                        f"Iterator of type `{iter_ty}` doesn't have a static size "
+                        "require for array comprehensions",
+                        make_iter,
+                    )
+                size = get_iter_size(iter_ty)
+            case _:
+                raise InternalGuppyError("Invalid iterator assign statement")
+        # Finally, type check the comprehension
+        [gen], elt, elt_ty = synthesize_comprehension(compr, [gen], compr.elt, self.ctx)
+        array_compr = DesugaredArrayComp(
+            elt=elt, generator=gen, length=size, elt_ty=elt_ty
+        )
+        return with_loc(compr, array_compr), array_type(elt_ty, size)
+
 
 #: Maximum length of a tag in the `result` function.
 TAG_MAX_LEN = 200

guppylang/prelude/builtins.py

@@ -92,7 +92,7 @@ class nat:
 class array(Generic[_T, _n]):
     """Class to import in order to use arrays."""
 
-    def __init__(self, *args: _T):
+    def __init__(self, *args: Any):
         pass
 
 

guppylang/tys/builtin.py

@@ -243,8 +243,8 @@ def is_sized_iter_type(ty: Type) -> TypeGuard[OpaqueType]:
 
 def get_element_type(ty: Type) -> Type:
     assert isinstance(ty, OpaqueType)
-    assert ty.defn == list_type_def
-    (arg,) = ty.args
+    assert ty.defn == list_type_def or ty.defn == array_type_def
+    (arg, *_) = ty.args
     assert isinstance(arg, TypeArg)
     return arg.ty
 

tests/error/array_errors/comprehension_wrong_length.err

@@ -0,0 +1,7 @@
+Guppy compilation failed. Error in file $FILE:13
+
+11:    @guppy(module)
+12:    def main() -> array[int, 42]:
+13:        return array(i for i in range(10))
+                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+GuppyTypeError: Expected expression of type `array[int, 42]`, got `array[int, 10]`

tests/error/array_errors/comprehension_wrong_length.py

@@ -0,0 +1,16 @@
+import guppylang.prelude.quantum as quantum
+from guppylang.decorator import guppy
+from guppylang.module import GuppyModule
+from guppylang.prelude.builtins import array
+
+
+module = GuppyModule("test")
+module.load(quantum)
+
+
+@guppy(module)
+def main() -> array[int, 42]:
+    return array(i for i in range(10))
+
+
+module.compile()

tests/error/array_errors/guarded_comprehension.err

@@ -0,0 +1,7 @@
+Guppy compilation failed. Error in file $FILE:13
+
+11:    @guppy(module)
+12:    def main() -> None:
+13:        array(i for i in range(100) if i % 2 == 0)
+                                          ^^^^^^^^^^
+GuppyError: If guards are not allowed in array comprehensions

tests/error/array_errors/guarded_comprehension.py

@@ -0,0 +1,16 @@
+import guppylang.prelude.quantum as quantum
+from guppylang.decorator import guppy
+from guppylang.module import GuppyModule
+from guppylang.prelude.builtins import array
+
+
+module = GuppyModule("test")
+module.load(quantum)
+
+
+@guppy(module)
+def main() -> None:
+    array(i for i in range(100) if i % 2 == 0)
+
+
+module.compile()

tests/error/array_errors/nested_comprehension.err

@@ -0,0 +1,7 @@
+Guppy compilation failed. Error in file $FILE:13
+
+11:    @guppy(module)
+12:    def main() -> array[int, 50]:
+13:        return array(0 for _ in range(10) for _ in range(5))
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+GuppyError: Nested array comprehensions are not supported

tests/error/array_errors/nested_comprehension.py

@@ -0,0 +1,16 @@
+import guppylang.prelude.quantum as quantum
+from guppylang.decorator import guppy
+from guppylang.module import GuppyModule
+from guppylang.prelude.builtins import array
+
+
+module = GuppyModule("test")
+module.load(quantum)
+
+
+@guppy(module)
+def main() -> array[int, 50]:
+    return array(0 for _ in range(10) for _ in range(5))
+
+
+module.compile()

tests/error/array_errors/non_static_comprehension.err

@@ -0,0 +1,7 @@
+Guppy compilation failed. Error in file $FILE:13
+
+11:    @guppy(module)
+12:    def main(n: int) -> None:
+13:        array(i for i in range(n))
+                            ^^^^^^^^
+GuppyError: Iterator of type `Range` doesn't have a static size require for array comprehensions

tests/error/array_errors/non_static_comprehension.py

@@ -0,0 +1,16 @@
+import guppylang.prelude.quantum as quantum
+from guppylang.decorator import guppy
+from guppylang.module import GuppyModule
+from guppylang.prelude.builtins import array
+
+
+module = GuppyModule("test")
+module.load(quantum)
+
+
+@guppy(module)
+def main(n: int) -> None:
+    array(i for i in range(n))
+
+
+module.compile()