Remove MissingExtras warning and associated tests/checks

hypothesis-python/src/hypothesis/errors.py

@@ -180,7 +180,3 @@ def __init__(self, target):
 class SmallSearchSpaceWarning(HypothesisWarning):
     """Indicates that an inferred strategy does not span the search space
     in a meaningful way, for example by only creating default instances."""
-
-
-class MissingExtraWarning(HypothesisWarning):
-    """Indicates that an extra package should be installed to improve functionality."""

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

@@ -50,7 +50,6 @@
 from hypothesis.control import cleanup, current_build_context, note
 from hypothesis.errors import (
     InvalidArgument,
-    MissingExtraWarning,
     ResolutionFailed,
     RewindRecursive,
     SmallSearchSpaceWarning,
@@ -1218,16 +1217,7 @@ def from_type_guarded(thing):
     try:
         from hypothesis.extra.numpy import from_type_internal
 
-        return from_type_internal(thing)  # pragma: no cover
-    except ImportError:
-        if getattr(thing, "__module__", None) == "numpy":  # pragma: no cover
-            from_type_repr = repr_call(from_type, (thing,), {})
-            warnings.warn(
-                f"{from_type_repr} might be resolved by hypothesis.extra.numpy, "
-                "but that subpackage is not installed. Consider installing it, "
-                "or use st.register_type_strategy() to silence this warning.",
-                MissingExtraWarning,
-            )
+        return from_type_internal(thing)
     except Exception:  # pragma: no cover
         pass
     # Finally, try to build an instance by calling the type object.  Unlike builds(),

hypothesis-python/tests/cover/test_lookup.py

@@ -28,7 +28,6 @@
 from hypothesis import HealthCheck, assume, given, settings, strategies as st
 from hypothesis.errors import (
     InvalidArgument,
-    MissingExtraWarning,
     ResolutionFailed,
     SmallSearchSpaceWarning,
 )
@@ -1031,19 +1030,3 @@ def f(x: int):
     msg = "@no_type_check decorator prevented Hypothesis from inferring a strategy"
     with pytest.raises(TypeError, match=msg):
         st.builds(f).example()
-
-
-@pytest.mark.skipif(
-    importlib.util.find_spec("numpy") is None,
-    reason="numpy is not available",
-)
-def test_numpy_type():
-    import numpy as np
-
-    try:
-        import hypothesis.extra.numpy  # noqa: F401
-    except ImportError:
-        with pytest.warns((MissingExtraWarning, SmallSearchSpaceWarning)):
-            st.from_type(np.int8).example()
-    else:
-        st.from_type(np.int8).example()