From c05bdbb5f2d5213b04b0f08761c6403069e61179 Mon Sep 17 00:00:00 2001 From: Hannes Vogt Date: Wed, 13 Sep 2023 15:12:52 +0200 Subject: [PATCH] address review comment --- src/gt4py/next/iterator/embedded.py | 14 +++++++++----- tests/next_tests/integration_tests/cases.py | 2 +- 2 files changed, 10 insertions(+), 6 deletions(-) diff --git a/src/gt4py/next/iterator/embedded.py b/src/gt4py/next/iterator/embedded.py index b0e309f707..673a825a15 100644 --- a/src/gt4py/next/iterator/embedded.py +++ b/src/gt4py/next/iterator/embedded.py @@ -707,7 +707,7 @@ def _make_tuple( named_indices: NamedFieldIndices, *, column_axis: Literal[None] = None, -) -> tuple[tuple | npt.DTypeLike, ...]: # arbitrary nesting +) -> tuple[tuple | npt.DTypeLike | Undefined, ...]: # arbitrary nesting ... @@ -724,7 +724,7 @@ def _make_tuple( named_indices: NamedFieldIndices, *, column_axis: Literal[None] = None, -) -> npt.DTypeLike: +) -> npt.DTypeLike | Undefined: ... @@ -733,7 +733,7 @@ def _make_tuple( named_indices: NamedFieldIndices, *, column_axis: Optional[Tag] = None, -) -> Column | npt.DTypeLike | tuple[tuple | Column | npt.DTypeLike, ...] | Undefined: +) -> Column | npt.DTypeLike | tuple[tuple | Column | npt.DTypeLike | Undefined, ...] | Undefined: if column_axis is None: if isinstance(field_or_tuple, tuple): return tuple(_make_tuple(f, named_indices) for f in field_or_tuple) @@ -753,7 +753,7 @@ def _make_tuple( try: col.append( tuple( - _make_tuple( + _make_tuple( # type: ignore[misc] # TODO(havogt) don't want to waste time now trying to fix the error "Generator has incompatible item type" f, _single_vertical_idx( named_indices, column_axis, i - column_range.start @@ -770,7 +770,11 @@ def _make_tuple( except embedded_exceptions.IndexOutOfBounds: col.append(_UNDEFINED) - first = next((v for v in col if v != _UNDEFINED)) + first = next((v for v in col if v != _UNDEFINED), None) + if first is None: + raise RuntimeError( + "Found 'Undefined' value, this should not happen for a legal program." + ) dtype = _column_dtype(first) return Column(column_range.start, np.asarray(col, dtype=dtype)) diff --git a/tests/next_tests/integration_tests/cases.py b/tests/next_tests/integration_tests/cases.py index a7f795f454..ee0074e65f 100644 --- a/tests/next_tests/integration_tests/cases.py +++ b/tests/next_tests/integration_tests/cases.py @@ -74,7 +74,7 @@ C2E = gtx.FieldOffset("E2V", source=Edge, target=(Cell, C2EDim)) ScalarValue: TypeAlias = np.int32 | np.int64 | np.float32 | np.float64 | np.generic -FieldValue: TypeAlias = gtx.Field # | embedded.LocatedFieldImpl +FieldValue: TypeAlias = gtx.Field FieldViewArg: TypeAlias = FieldValue | ScalarValue | tuple["FieldViewArg", ...] FieldViewInout: TypeAlias = FieldValue | tuple["FieldViewInout", ...] ReferenceValue: TypeAlias = (