Merge branch 'master' into namedtuple-generic

AUTHORS.rst

@@ -73,6 +73,7 @@ their individual contributions.
 * `Gregory Petrosyan <https://github.com/flyingmutant>`_
 * `Grzegorz Zieba <https://github.com/gzaxel>`_ (g.zieba@erax.pl)
 * `Grigorios Giannakopoulos <https://github.com/grigoriosgiann>`_
+* `Hal Blackburn <https://github.com/h4l>`_
 * `Hugo van Kemenade <https://github.com/hugovk>`_
 * `Humberto Rocha <https://github.com/humrochagf>`_
 * `Ilya Lebedev <https://github.com/melevir>`_ (melevir@gmail.com)

HypothesisWorks.github.io/_posts/2016-05-26-exploring-voting-with-hypothesis.md

@@ -87,7 +87,7 @@ some point). If we have zero, that's a draw. If we have one, that's a
 victory.
 
 It seems pretty plausible that these would not produce the same answer
-all the time (it would be surpising if they did!), but it's maybe not
+all the time (it would be surprising if they did!), but it's maybe not
 obvious how you would go about constructing an example that shows it.
 
 Fortunately, we don't have to because Hypothesis can do it for us!

brand/README.rst

@@ -38,7 +38,7 @@ Colour palette in GIMP format
 
 A `colour palette in GIMP format <hypothesis.gpl>`__ (``.gpl``) is also provided
 with the intent of making it easier to produce graphics and documents which
-re-use the colours in the Hypothesis Dragonfly logo by Libby Berrie.
+reuse the colours in the Hypothesis Dragonfly logo by Libby Berrie.
 
 The ``hypothesis.gpl`` file should be copied or imported to the appropriate
 location on your filesystem. For example:

hypothesis-python/docs/changes.rst

@@ -18,6 +18,16 @@ Hypothesis 6.x
 
     .. include:: ../RELEASE.rst
 
+.. _v6.88.0:
+
+-------------------
+6.88.0 - 2023-10-15
+-------------------
+
+This release allows strategy-generating functions registered with
+:func:`~hypothesis.strategies.register_type_strategy` to conditionally not
+return a strategy, by returning :data:`NotImplemented` (:issue:`3767`).
+
 .. _v6.87.4:
 
 -------------------

hypothesis-python/examples/test_basic.py

@@ -20,7 +20,7 @@ def get_discount_price(self, discount_percentage: float):
         return self.price * (discount_percentage / 100)
 
 
-# The @given decorater generates examples for us!
+# The @given decorator generates examples for us!
 @given(
     price=st.floats(min_value=0, allow_nan=False, allow_infinity=False),
     discount_percentage=st.floats(

hypothesis-python/src/hypothesis/strategies/_internal/core.py

@@ -1235,6 +1235,8 @@ def as_strategy(strat_or_callable, thing):
             strategy = strat_or_callable(thing)
         else:
             strategy = strat_or_callable
+        if strategy is NotImplemented:
+            return NotImplemented
         if not isinstance(strategy, SearchStrategy):
             raise ResolutionFailed(
                 f"Error: {thing} was registered for {nicerepr(strat_or_callable)}, "
@@ -1277,7 +1279,9 @@ def from_type_guarded(thing):
             # Check if we have an explicitly registered strategy for this thing,
             # resolve it so, and otherwise resolve as for the base type.
             if thing in types._global_type_lookup:
-                return as_strategy(types._global_type_lookup[thing], thing)
+                strategy = as_strategy(types._global_type_lookup[thing], thing)
+                if strategy is not NotImplemented:
+                    return strategy
             return _from_type(thing.__supertype__)
         # Unions are not instances of `type` - but we still want to resolve them!
         if types.is_a_union(thing):
@@ -1287,7 +1291,9 @@ def from_type_guarded(thing):
     # They are represented as instances like `~T` when they come here.
     # We need to work with their type instead.
     if isinstance(thing, TypeVar) and type(thing) in types._global_type_lookup:
-        return as_strategy(types._global_type_lookup[type(thing)], thing)
+        strategy = as_strategy(types._global_type_lookup[type(thing)], thing)
+        if strategy is not NotImplemented:
+            return strategy
     if not types.is_a_type(thing):
         if isinstance(thing, str):
             # See https://github.com/HypothesisWorks/hypothesis/issues/3016
@@ -1312,7 +1318,9 @@ def from_type_guarded(thing):
     # convert empty results into an explicit error.
     try:
         if thing in types._global_type_lookup:
-            return as_strategy(types._global_type_lookup[thing], thing)
+            strategy = as_strategy(types._global_type_lookup[thing], thing)
+            if strategy is not NotImplemented:
+                return strategy
     except TypeError:  # pragma: no cover
         # This is due to a bizarre divergence in behaviour under Python 3.9.0:
         # typing.Callable[[], foo] has __args__ = (foo,) but collections.abc.Callable
@@ -1372,11 +1380,16 @@ def from_type_guarded(thing):
     # type.  For example, `Number -> integers() | floats()`, but bools() is
     # not included because bool is a subclass of int as well as Number.
     strategies = [
-        as_strategy(v, thing)
-        for k, v in sorted(types._global_type_lookup.items(), key=repr)
-        if isinstance(k, type)
-        and issubclass(k, thing)
-        and sum(types.try_issubclass(k, typ) for typ in types._global_type_lookup) == 1
+        s
+        for s in (
+            as_strategy(v, thing)
+            for k, v in sorted(types._global_type_lookup.items(), key=repr)
+            if isinstance(k, type)
+            and issubclass(k, thing)
+            and sum(types.try_issubclass(k, typ) for typ in types._global_type_lookup)
+            == 1
+        )
+        if s is not NotImplemented
     ]
     if any(not s.is_empty for s in strategies):
         return one_of(strategies)
@@ -2142,7 +2155,10 @@ def register_type_strategy(
     for an argument with a default value.
 
     ``strategy`` may be a search strategy, or a function that takes a type and
-    returns a strategy (useful for generic types).
+    returns a strategy (useful for generic types). The function may return
+    :data:`NotImplemented` to conditionally not provide a strategy for the type
+    (the type will still be resolved by other methods, if possible, as if the
+    function was not registered).
 
     Note that you may not register a parametrised generic type (such as
     ``MyCollection[int]``) directly, because the resolution logic does not

hypothesis-python/src/hypothesis/strategies/_internal/types.py

@@ -451,9 +451,13 @@ def from_typing_type(thing):
             mapping.pop(t)
     # Sort strategies according to our type-sorting heuristic for stable output
     strategies = [
-        v if isinstance(v, st.SearchStrategy) else v(thing)
-        for k, v in sorted(mapping.items(), key=lambda kv: type_sorting_key(kv[0]))
-        if sum(try_issubclass(k, T) for T in mapping) == 1
+        s
+        for s in (
+            v if isinstance(v, st.SearchStrategy) else v(thing)
+            for k, v in sorted(mapping.items(), key=lambda kv: type_sorting_key(kv[0]))
+            if sum(try_issubclass(k, T) for T in mapping) == 1
+        )
+        if s != NotImplemented
     ]
     empty = ", ".join(repr(s) for s in strategies if s.is_empty)
     if empty or not strategies:
@@ -491,6 +495,14 @@ def _networks(bits):
 # As a general rule, we try to limit this to scalars because from_type()
 # would have to decide on arbitrary collection elements, and we'd rather
 # not (with typing module generic types and some builtins as exceptions).
+#
+# Strategy Callables may return NotImplemented, which should be treated in the
+# same way as if the type was not registered.
+#
+# Note that NotImplemented cannot be typed in Python 3.8 because there's no type
+# exposed for it, and NotImplemented itself is typed as Any so that it can be
+# returned without being listed in a function signature:
+# https://github.com/python/mypy/issues/6710#issuecomment-485580032
 _global_type_lookup: typing.Dict[
     type, typing.Union[st.SearchStrategy, typing.Callable[[type], st.SearchStrategy]]
 ] = {

hypothesis-python/src/hypothesis/version.py

@@ -8,5 +8,5 @@
 # v. 2.0. If a copy of the MPL was not distributed with this file, You can
 # obtain one at https://mozilla.org/MPL/2.0/.
 
-__version_info__ = (6, 87, 4)
+__version_info__ = (6, 88, 0)
 __version__ = ".".join(map(str, __version_info__))

hypothesis-python/tests/array_api/test_arrays.py

@@ -391,7 +391,7 @@ def test_generate_unique_arrays_without_fill(xp, xps):
 
     Covers the collision-related branches for fully dense unique arrays.
     Choosing 25 of 256 possible values means we're almost certain to see
-    colisions thanks to the birthday paradox, but finding unique values should
+    collisions thanks to the birthday paradox, but finding unique values should
     still be easy.
     """
     skip_on_missing_unique_values(xp)

hypothesis-python/tests/cover/test_lookup.py

@@ -11,6 +11,7 @@
 import abc
 import builtins
 import collections
+import contextlib
 import datetime
 import enum
 import inspect
@@ -21,6 +22,7 @@
 import sys
 import typing
 import warnings
+from dataclasses import dataclass
 from inspect import signature
 from numbers import Real
 
@@ -376,6 +378,25 @@ def test_typevars_can_be_redefine_with_factory():
         assert_all_examples(st.from_type(A), lambda obj: obj == "A")
 
 
+def test_typevars_can_be_resolved_conditionally():
+    sentinel = object()
+    A = typing.TypeVar("A")
+    B = typing.TypeVar("B")
+
+    def resolve_type_var(thing):
+        assert thing in (A, B)
+        if thing == A:
+            return st.just(sentinel)
+        return NotImplemented
+
+    with temp_registered(typing.TypeVar, resolve_type_var):
+        assert st.from_type(A).example() is sentinel
+        # We've re-defined the default TypeVar resolver, so there is no fallback.
+        # This causes the lookup to fail.
+        with pytest.raises(InvalidArgument):
+            st.from_type(B).example()
+
+
 def annotated_func(a: int, b: int = 2, *, c: int, d: int = 4):
     return a + b + c + d
 
@@ -470,6 +491,24 @@ def test_resolves_NewType():
     assert isinstance(from_type(uni).example(), (int, type(None)))
 
 
+@pytest.mark.parametrize("is_handled", [True, False])
+def test_resolves_NewType_conditionally(is_handled):
+    sentinel = object()
+    typ = typing.NewType("T", int)
+
+    def resolve_custom_strategy(thing):
+        assert thing is typ
+        if is_handled:
+            return st.just(sentinel)
+        return NotImplemented
+
+    with temp_registered(typ, resolve_custom_strategy):
+        if is_handled:
+            assert st.from_type(typ).example() is sentinel
+        else:
+            assert isinstance(st.from_type(typ).example(), int)
+
+
 E = enum.Enum("E", "a b c")
 
 
@@ -807,6 +846,58 @@ def test_supportsop_types_support_protocol(protocol, data):
     assert issubclass(type(value), protocol)
 
 
+@pytest.mark.parametrize("restrict_custom_strategy", [True, False])
+def test_generic_aliases_can_be_conditionally_resolved_by_registered_function(
+    restrict_custom_strategy,
+):
+    # Check that a custom strategy function may provide no strategy for a
+    # generic alias request like Container[T]. We test this under two scenarios:
+    # - where CustomContainer CANNOT be generated from requests for Container[T]
+    #   (only for requests for exactly CustomContainer[T])
+    # - where CustomContainer CAN be generated from requests for Container[T]
+    T = typing.TypeVar("T")
+
+    @dataclass
+    class CustomContainer(typing.Container[T]):
+        content: T
+
+        def __contains__(self, value: object) -> bool:
+            return self.content == value
+
+    def get_custom_container_strategy(thing):
+        if restrict_custom_strategy and typing.get_origin(thing) != CustomContainer:
+            return NotImplemented
+        return st.builds(
+            CustomContainer, content=st.from_type(typing.get_args(thing)[0])
+        )
+
+    with temp_registered(CustomContainer, get_custom_container_strategy):
+
+        def is_custom_container_with_str(example):
+            return isinstance(example, CustomContainer) and isinstance(
+                example.content, str
+            )
+
+        def is_non_custom_container(example):
+            return isinstance(example, typing.Container) and not isinstance(
+                example, CustomContainer
+            )
+
+        assert_all_examples(
+            st.from_type(CustomContainer[str]), is_custom_container_with_str
+        )
+        # If the strategy function is restricting, it doesn't return a strategy
+        # for requests for Container[...], so it's never generated. When not
+        # restricting, it is generated.
+        if restrict_custom_strategy:
+            assert_all_examples(
+                st.from_type(typing.Container[str]), is_non_custom_container
+            )
+        else:
+            find_any(st.from_type(typing.Container[str]), is_custom_container_with_str)
+            find_any(st.from_type(typing.Container[str]), is_non_custom_container)
+
+
 @pytest.mark.parametrize(
     "protocol, typ",
     [
@@ -1069,3 +1160,31 @@ def test_tuple_subclasses_not_generic_sequences():
     with temp_registered(TupleSubtype, st.builds(TupleSubtype)):
         s = st.from_type(typing.Sequence[int])
         assert_no_examples(s, lambda x: isinstance(x, tuple))
+
+
+def test_custom_strategy_function_resolves_types_conditionally():
+    sentinel = object()
+
+    class A:
+        pass
+
+    class B(A):
+        pass
+
+    class C(A):
+        pass
+
+    def resolve_custom_strategy_for_b(thing):
+        if thing == B:
+            return st.just(sentinel)
+        return NotImplemented
+
+    with contextlib.ExitStack() as stack:
+        stack.enter_context(temp_registered(B, resolve_custom_strategy_for_b))
+        stack.enter_context(temp_registered(C, st.builds(C)))
+
+        # C's strategy can be used for A, but B's cannot because its function
+        # only returns a strategy for requests for exactly B.
+        assert_all_examples(st.from_type(A), lambda example: type(example) == C)
+        assert_all_examples(st.from_type(B), lambda example: example is sentinel)
+        assert_all_examples(st.from_type(C), lambda example: type(example) == C)

hypothesis-python/tests/cover/test_targeting.py

@@ -102,21 +102,3 @@ def test_cannot_target_default_label_twice(_):
     target(0.0)
     with pytest.raises(InvalidArgument):
         target(1.0)
-
-
-@given(st.lists(st.integers()), st.none())
-def test_targeting_with_following_empty(ls, n):
-    # This exercises some logic in the optimiser that prevents it from trying
-    # to mutate empty examples at the end of the test case.
-    target(float(len(ls)))
-
-
-@given(
-    st.tuples(
-        *([st.none()] * 10 + [st.integers()] + [st.none()] * 10 + [st.integers()])
-    )
-)
-def test_targeting_with_many_empty(_):
-    # This exercises some logic in the optimiser that prevents it from trying
-    # to mutate empty examples in the middle of the test case.
-    target(1.0)