Better undefined dtype behaviour

xptests/hypothesis_helpers.py

@@ -67,7 +67,13 @@ def _dtypes_sorter(dtype_pair: Tuple[DataType, DataType]):
         key += 1
     return key
 
-promotable_dtypes: List[Tuple[DataType, DataType]] = sorted(dh.promotion_table.keys(), key=_dtypes_sorter)
+_promotable_dtypes = list(dh.promotion_table.keys())
+if FILTER_UNDEFINED_DTYPES:
+    _promotable_dtypes = [
+        (d1, d2) for d1, d2 in _promotable_dtypes
+        if not isinstance(d1, _UndefinedStub) or not isinstance(d2, _UndefinedStub)
+    ]
+promotable_dtypes: List[Tuple[DataType, DataType]] = sorted(_promotable_dtypes, key=_dtypes_sorter)
 
 def mutually_promotable_dtypes(
     max_size: Optional[int] = 2,

xptests/test_array2scalar.py

@@ -17,8 +17,16 @@
 
 def make_param(method_name: str, dtype: DataType) -> Param:
     stype = method_stype[method_name]
+    if isinstance(dtype, xp._UndefinedStub):
+        marks = pytest.mark.skip(reason=f"xp.{dtype.name} not defined")
+    else:
+        marks = ()
     return pytest.param(
-        method_name, dtype, stype, id=f"{method_name}({dh.dtype_to_name[dtype]})"
+        method_name,
+        dtype,
+        stype,
+        id=f"{method_name}({dh.dtype_to_name[dtype]})",
+        marks=marks,
     )
 
 

xptests/test_elementwise_functions.py

@@ -53,6 +53,8 @@
 def make_unary_params(
     elwise_func_name: str, dtypes: Sequence[DataType]
 ) -> List[UnaryParam]:
+    if hh.FILTER_UNDEFINED_DTYPES:
+        dtypes = [d for d in dtypes if not isinstance(d, xp._UndefinedStub)]
     strat = xps.arrays(dtype=st.sampled_from(dtypes), shape=hh.shapes())
     func = getattr(xp, elwise_func_name)
     op_name = func_to_op[elwise_func_name]
@@ -93,6 +95,8 @@ class FuncType(Enum):
 def make_binary_params(
     elwise_func_name: str, dtypes: Sequence[DataType]
 ) -> List[BinaryParam]:
+    if hh.FILTER_UNDEFINED_DTYPES:
+        dtypes = [d for d in dtypes if not isinstance(d, xp._UndefinedStub)]
     dtypes_strat = st.sampled_from(dtypes)
 
     def make_param(

xptests/test_type_promotion.py

@@ -1,9 +1,8 @@
 """
 https://data-apis.github.io/array-api/latest/API_specification/type_promotion.html
 """
-import math
 from collections import defaultdict
-from typing import Tuple, Union, List
+from typing import List, Tuple, Union
 
 import pytest
 from hypothesis import assume, given, reject
@@ -14,9 +13,8 @@
 from . import hypothesis_helpers as hh
 from . import pytest_helpers as ph
 from . import xps
-from .typing import DataType, ScalarType, Param
 from .function_stubs import elementwise_functions
-
+from .typing import DataType, Param, ScalarType
 
 # TODO: move tests not covering elementwise funcs/ops into standalone tests
 # result_type, meshgrid, tensordor, vecdot
@@ -28,29 +26,6 @@ def test_result_type(dtypes):
     ph.assert_dtype("result_type", dtypes, out, repr_name="out")
 
 
-# The number and size of generated arrays is arbitrarily limited to prevent
-# meshgrid() running out of memory.
-@given(
-    dtypes=hh.mutually_promotable_dtypes(5, dtypes=dh.numeric_dtypes),
-    data=st.data(),
-)
-def test_meshgrid(dtypes, data):
-    arrays = []
-    shapes = data.draw(
-        hh.mutually_broadcastable_shapes(
-            len(dtypes), min_dims=1, max_dims=1, max_side=5
-        ),
-        label="shapes",
-    )
-    for i, (dtype, shape) in enumerate(zip(dtypes, shapes), 1):
-        x = data.draw(xps.arrays(dtype=dtype, shape=shape), label=f"x{i}")
-        arrays.append(x)
-    assert math.prod(x.size for x in arrays) <= hh.MAX_ARRAY_SIZE  # sanity check
-    out = xp.meshgrid(*arrays)
-    for i, x in enumerate(out):
-        ph.assert_dtype("meshgrid", dtypes, x.dtype, repr_name=f"out[{i}].dtype")
-
-
 bitwise_shift_funcs = [
     "bitwise_left_shift",
     "bitwise_right_shift",
@@ -78,6 +53,14 @@ def make_id(
     return f"{func_name}({f_args}) -> {f_out_dtype}"
 
 
+def mark_stubbed_dtypes(*dtypes):
+    for dtype in dtypes:
+        if isinstance(dtype, xp._UndefinedStub):
+            return pytest.mark.skip(reason=f"xp.{dtype.name} not defined")
+    else:
+        return ()
+
+
 func_params: List[Param[str, Tuple[DataType, ...], DataType]] = []
 for func_name in elementwise_functions.__all__:
     valid_in_dtypes = dh.func_in_dtypes[func_name]
@@ -90,6 +73,7 @@ def make_id(
                 (in_dtype,),
                 out_dtype,
                 id=make_id(func_name, (in_dtype,), out_dtype),
+                marks=mark_stubbed_dtypes(in_dtype, out_dtype),
             )
             func_params.append(p)
     elif ndtypes == 2:
@@ -103,6 +87,7 @@ def make_id(
                     (in_dtype1, in_dtype2),
                     out_dtype,
                     id=make_id(func_name, (in_dtype1, in_dtype2), out_dtype),
+                    marks=mark_stubbed_dtypes(in_dtype1, in_dtype2, out_dtype),
                 )
                 func_params.append(p)
     else:
@@ -143,6 +128,7 @@ def test_func_promotion(func_name, in_dtypes, out_dtype, data):
         (dtype1, dtype2),
         promoted_dtype,
         id=make_id("", (dtype1, dtype2), promoted_dtype),
+        marks=mark_stubbed_dtypes(dtype1, dtype2, promoted_dtype),
     )
     promotion_params.append(p)
 
@@ -194,6 +180,7 @@ def test_vecdot(in_dtypes, out_dtype, shapes, data):
                 (in_dtype,),
                 out_dtype,
                 id=make_id(op, (in_dtype,), out_dtype),
+                marks=mark_stubbed_dtypes(in_dtype, out_dtype),
             )
             op_params.append(p)
     else:
@@ -206,6 +193,7 @@ def test_vecdot(in_dtypes, out_dtype, shapes, data):
                     (in_dtype1, in_dtype2),
                     out_dtype,
                     id=make_id(op, (in_dtype1, in_dtype2), out_dtype),
+                    marks=mark_stubbed_dtypes(in_dtype1, in_dtype2, out_dtype),
                 )
                 op_params.append(p)
 # We generate params for abs seperately as it does not have an associated symbol
@@ -216,6 +204,7 @@ def test_vecdot(in_dtypes, out_dtype, shapes, data):
         (in_dtype,),
         in_dtype,
         id=make_id("__abs__", (in_dtype,), in_dtype),
+        marks=mark_stubbed_dtypes(in_dtype),
     )
     op_params.append(p)
 
@@ -263,6 +252,7 @@ def test_op_promotion(op, expr, in_dtypes, out_dtype, data):
                 (in_dtype1, in_dtype2),
                 promoted_dtype,
                 id=make_id(op, (in_dtype1, in_dtype2), promoted_dtype),
+                marks=mark_stubbed_dtypes(in_dtype1, in_dtype2, promoted_dtype),
             )
             inplace_params.append(p)
 
@@ -301,6 +291,7 @@ def test_inplace_op_promotion(op, expr, in_dtypes, out_dtype, shapes, data):
                 in_stype,
                 out_dtype,
                 id=make_id(op, (in_dtype, in_stype), out_dtype),
+                marks=mark_stubbed_dtypes(in_dtype, out_dtype),
             )
             op_scalar_params.append(p)
 
@@ -333,6 +324,7 @@ def test_op_scalar_promotion(op, expr, in_dtype, in_stype, out_dtype, data):
                 dtype,
                 in_stype,
                 id=make_id(op, (dtype, in_stype), dtype),
+                marks=mark_stubbed_dtypes(dtype),
             )
             inplace_scalar_params.append(p)