def __call__( self, args, kwargs, fname=None, max_fname_arg_count=None, method: Optional[str] = None, ) -> None: if args or kwargs: fname = self.fname if fname is None else fname max_fname_arg_count = ( self.max_fname_arg_count if max_fname_arg_count is None else max_fname_arg_count ) method = self.method if method is None else method if method == "args": validate_args(fname, args, max_fname_arg_count, self.defaults) elif method == "kwargs": validate_kwargs(fname, kwargs, self.defaults) elif method == "both": validate_args_and_kwargs( fname, args, kwargs, max_fname_arg_count, self.defaults ) else: raise ValueError(f"invalid validation method '{method}'")
def test_validation(): # No exceptions should be raised. validate_args(_fname, (None,), 2, dict(out=None)) compat_args = OrderedDict() compat_args["axis"] = 1 compat_args["out"] = None validate_args(_fname, (1, None), 2, compat_args)
def test_validation(self): # No exceptions should be thrown validate_args(self.fname, (None,), 2, dict(out=None)) compat_args = OrderedDict() compat_args['axis'] = 1 compat_args['out'] = None validate_args(self.fname, (1, None), 2, compat_args)
def test_validation(): # No exceptions should be raised. validate_args(_fname, (None, ), 2, dict(out=None)) compat_args = OrderedDict() compat_args["axis"] = 1 compat_args["out"] = None validate_args(_fname, (1, None), 2, compat_args)
def test_not_all_defaults(i): bad_arg = "foo" msg = (f"the '{bad_arg}' parameter is not supported " rf"in the pandas implementation of {_fname}\(\)") compat_args = {"foo": 2, "bar": -1, "baz": 3} arg_vals = (1, -1, 3) with pytest.raises(ValueError, match=msg): validate_args(_fname, arg_vals[:i], 2, compat_args)
def test_bad_arg_length_max_value_multiple(): args = (None, None) compat_args = {"foo": None} min_fname_arg_count = 2 max_length = len(compat_args) + min_fname_arg_count actual_length = len(args) + min_fname_arg_count msg = (rf"{_fname}\(\) takes at most {max_length} " rf"arguments \({actual_length} given\)") with pytest.raises(TypeError, match=msg): validate_args(_fname, args, min_fname_arg_count, compat_args)
def test_bad_arg_length_max_value_single(): args = (None, None) compat_args = ("foo", ) min_fname_arg_count = 0 max_length = len(compat_args) + min_fname_arg_count actual_length = len(args) + min_fname_arg_count msg = (fr"{_fname}\(\) takes at most {max_length} " fr"argument \({actual_length} given\)") with pytest.raises(TypeError, match=msg): validate_args(_fname, args, min_fname_arg_count, compat_args)
def test_bad_arg_length_max_value_multiple(): args = (None, None) compat_args = dict(foo=None) min_fname_arg_count = 2 max_length = len(compat_args) + min_fname_arg_count actual_length = len(args) + min_fname_arg_count msg = (r"{fname}\(\) takes at most {max_length} " r"arguments \({actual_length} given\)" .format(fname=_fname, max_length=max_length, actual_length=actual_length)) with pytest.raises(TypeError, match=msg): validate_args(_fname, args, min_fname_arg_count, compat_args)
def test_not_all_defaults(i): bad_arg = "foo" msg = ("the '{arg}' parameter is not supported " r"in the pandas implementation of {func}\(\)".format(arg=bad_arg, func=_fname)) compat_args = OrderedDict() compat_args["foo"] = 2 compat_args["bar"] = -1 compat_args["baz"] = 3 arg_vals = (1, -1, 3) with pytest.raises(ValueError, match=msg): validate_args(_fname, arg_vals[:i], 2, compat_args)
def test_bad_arg_length_max_value_multiple(self): args = (None, None) compat_args = dict(foo=None) min_fname_arg_count = 2 max_length = len(compat_args) + min_fname_arg_count actual_length = len(args) + min_fname_arg_count msg = (r"{fname}\(\) takes at most {max_length} " r"arguments \({actual_length} given\)".format( fname=self.fname, max_length=max_length, actual_length=actual_length)) with tm.assert_raises_regex(TypeError, msg): validate_args(self.fname, args, min_fname_arg_count, compat_args)
def test_not_all_defaults(i): bad_arg = "foo" msg = ("the '{arg}' parameter is not supported " r"in the pandas implementation of {func}\(\)". format(arg=bad_arg, func=_fname)) compat_args = OrderedDict() compat_args["foo"] = 2 compat_args["bar"] = -1 compat_args["baz"] = 3 arg_vals = (1, -1, 3) with pytest.raises(ValueError, match=msg): validate_args(_fname, arg_vals[:i], 2, compat_args)
def test_bad_arg_length_max_value_single(self): args = (None, None) compat_args = ('foo', ) min_fname_arg_count = 0 max_length = len(compat_args) + min_fname_arg_count actual_length = len(args) + min_fname_arg_count msg = (r"{fname}\(\) takes at most {max_length} " r"argument \({actual_length} given\)".format( fname=self.fname, max_length=max_length, actual_length=actual_length)) with pytest.raises(TypeError, match=msg): validate_args(self.fname, args, min_fname_arg_count, compat_args)
def test_not_all_defaults(self): bad_arg = 'foo' msg = ("the '{arg}' parameter is not supported " r"in the pandas implementation of {func}\(\)". format(arg=bad_arg, func=self.fname)) compat_args = OrderedDict() compat_args['foo'] = 2 compat_args['bar'] = -1 compat_args['baz'] = 3 arg_vals = (1, -1, 3) for i in range(1, 3): with tm.assert_raises_regex(ValueError, msg): validate_args(self.fname, arg_vals[:i], 2, compat_args)
def test_bad_arg_length_max_value_single(self): args = (None, None) compat_args = ('foo',) min_fname_arg_count = 0 max_length = len(compat_args) + min_fname_arg_count actual_length = len(args) + min_fname_arg_count msg = (r"{fname}\(\) takes at most {max_length} " r"argument \({actual_length} given\)" .format(fname=self.fname, max_length=max_length, actual_length=actual_length)) with tm.assert_raises_regex(TypeError, msg): validate_args(self.fname, args, min_fname_arg_count, compat_args)
def __call__(self, args, kwargs, fname=None, max_fname_arg_count=None, method=None): if args or kwargs: fname = self.fname if fname is None else fname max_fname_arg_count = (self.max_fname_arg_count if max_fname_arg_count is None else max_fname_arg_count) method = self.method if method is None else method if method == 'args': validate_args(fname, args, max_fname_arg_count, self.defaults) elif method == 'kwargs': validate_kwargs(fname, kwargs, self.defaults) elif method == 'both': validate_args_and_kwargs(fname, args, kwargs, max_fname_arg_count, self.defaults) else: raise ValueError("invalid validation method " "'{method}'".format(method=method))
def test_validation(): # No exceptions should be raised. validate_args(_fname, (None, ), 2, {"out": None}) compat_args = {"axis": 1, "out": None} validate_args(_fname, (1, None), 2, compat_args)
def test_bad_min_fname_arg_count(self): msg = "'max_fname_arg_count' must be non-negative" with tm.assert_raises_regex(ValueError, msg): validate_args(self.fname, (None,), -1, 'foo')
def test_bad_min_fname_arg_count(): msg = "'max_fname_arg_count' must be non-negative" with pytest.raises(ValueError, match=msg): validate_args(_fname, (None,), -1, "foo")
def test_bad_min_fname_arg_count(): msg = "'max_fname_arg_count' must be non-negative" with pytest.raises(ValueError, match=msg): validate_args(_fname, (None, ), -1, "foo")