def test_descriptions():
primitives = {
NumCharacters: "Calculates the number of characters in a string.",
Day: "Determines the day of the month from a datetime.",
Last: "Determines the last value in a list.",
GreaterThan: "Determines if values in one list are greater than another list.",
}
assert _get_descriptions(list(primitives.keys())) == list(primitives.values())
def test_descriptions():
primitives = {
NumCharacters: 'Return the characters in a given string.',
Day: 'Transform a Datetime feature into the day.',
Last: 'Returns the last value.',
GreaterThan: ''
}
assert _get_descriptions(list(primitives.keys())) == list(
primitives.values())
def test_descriptions():
primitives = {
NumCharacters: 'Calculates the number of characters in a string.',
Day: 'Determines the day of the month from a datetime.',
Last: 'Returns the last value.',
GreaterThan: ''
}
assert _get_descriptions(list(primitives.keys())) == list(
primitives.values())
def test_list_primitives_order():
df = list_primitives()
all_primitives = get_transform_primitives()
all_primitives.update(get_aggregation_primitives())
for name, primitive in all_primitives.items():
assert name in df['name'].values
row = df.loc[df['name'] == name].iloc[0]
actual_desc = _get_descriptions([primitive])[0]
if actual_desc:
assert actual_desc == row['description']
types = df['type'].values
assert 'aggregation' in types
assert 'transform' in types
def test_list_primitives_order():
df = list_primitives()
all_primitives = get_transform_primitives()
all_primitives.update(get_aggregation_primitives())
for name, primitive in all_primitives.items():
assert name in df["name"].values
row = df.loc[df["name"] == name].iloc[0]
actual_desc = _get_descriptions([primitive])[0]
if actual_desc:
assert actual_desc == row["description"]
assert row["dask_compatible"] == (Library.DASK in primitive.compatibility)
assert row["valid_inputs"] == ", ".join(
_get_unique_input_types(primitive.input_types)
)
assert row["return_type"] == getattr(primitive.return_type, "__name__", None)
types = df["type"].values
assert "aggregation" in types
assert "transform" in types
def test_list_primitives_order():
df = list_primitives()
all_primitives = get_transform_primitives()
all_primitives.update(get_aggregation_primitives())
for name, primitive in all_primitives.items():
assert name in df['name'].values
row = df.loc[df['name'] == name].iloc[0]
actual_desc = _get_descriptions([primitive])[0]
if actual_desc:
assert actual_desc == row['description']
assert row['dask_compatible'] == (Library.DASK
in primitive.compatibility)
assert row['valid_inputs'] == ', '.join(
_get_names_valid_inputs(primitive.input_types))
assert row['return_type'] == getattr(primitive.return_type, '__name__',
None)
types = df['type'].values
assert 'aggregation' in types
assert 'transform' in types
