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How to use check_valid_minmax method in hypothesis

Best Python code snippet using hypothesis

array_api.py

...160    check_xp_attributes(xp, ["iinfo", "finfo"])161    if isinstance(dtype, str):162        dtype = dtype_from_name(xp, dtype)163    builtin = find_castable_builtin_for_dtype(xp, dtype)164    def check_valid_minmax(prefix, val, info_obj):165        name = f"{prefix}_value"166        check_valid_bound(val, name)167        check_argument(168            val >= info_obj.min,169            f"dtype={dtype} requires {name}={val} to be at least {info_obj.min}",170        )171        check_argument(172            val <= info_obj.max,173            f"dtype={dtype} requires {name}={val} to be at most {info_obj.max}",174        )175    if builtin is bool:176        return st.booleans()177    elif builtin is int:178        iinfo = xp.iinfo(dtype)179        if min_value is None:180            min_value = iinfo.min181        if max_value is None:182            max_value = iinfo.max183        check_valid_integer(min_value, "min_value")184        check_valid_integer(max_value, "max_value")185        assert isinstance(min_value, int)186        assert isinstance(max_value, int)187        check_valid_minmax("min", min_value, iinfo)188        check_valid_minmax("max", max_value, iinfo)189        check_valid_interval(min_value, max_value, "min_value", "max_value")190        return st.integers(min_value=min_value, max_value=max_value)191    else:192        finfo = xp.finfo(dtype)193        kw = {}194        # Whilst we know the boundary values of float dtypes from finfo, we do195        # not assign them to the floats() strategy by default - passing min/max196        # values will modify test case reduction behaviour so that simple bugs197        # may become harder for users to identify. We plan to improve floats()198        # behaviour in https://github.com/HypothesisWorks/hypothesis/issues/2907.199        # Setting width should manage boundary values for us anyway.200        if min_value is not None:201            check_valid_bound(min_value, "min_value")202            assert isinstance(min_value, Real)203            check_valid_minmax("min", min_value, finfo)204            kw["min_value"] = min_value205        if max_value is not None:206            check_valid_bound(max_value, "max_value")207            assert isinstance(max_value, Real)208            check_valid_minmax("max", max_value, finfo)209            if min_value is not None:210                check_valid_interval(min_value, max_value, "min_value", "max_value")211            kw["max_value"] = max_value212        # We infer whether an array module will flush subnormals to zero, as may213        # be the case when libraries are built with compiler options that214        # violate IEEE-754 (e.g. -ffast-math and -ftz=true). Note we do this for215        # the specific dtype, as compilers may end up flushing subnormals for216        # one float but supporting subnormals for the other.217        #218        # By default, floats() will generate subnormals if they are in the219        # inferred values range. If we have detected that xp flushes to zero for220        # the passed dtype, we ensure from_dtype() will not generate subnormals221        # by default.222        if allow_subnormal is not None:...

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