from collections import OrderedDict
import pytest
from pandas.util._validators import validate_args
_fname = "func"
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_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 = (
r"{fname}\(\) takes at most {max_length} "
r"argument \({actual_length} given\)".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_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)
@pytest.mark.parametrize("i", range(1, 3))
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_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)