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34 changes: 8 additions & 26 deletions dataprofiler/tests/profilers/test_column_profile_compilers.py
Original file line number Diff line number Diff line change
Expand Up @@ -774,7 +774,7 @@ def test_json_decode_after_update(self, mock_instance):
self._setup_data_labeler_mock(mock_instance)
mock_instance._default_model_loc = "structured_model"

data = pd.Series(["-2", "-1", "1", "15"], name="test")
data = pd.Series(["2", "-1", "1", "2"], name="test")
with test_utils.mock_timeit():
expected_compiler = col_pro_compilers.ColumnDataLabelerCompiler(data)

Expand All @@ -784,36 +784,18 @@ def test_json_decode_after_update(self, mock_instance):
test_utils.assert_profiles_equal(deserialized, expected_compiler)
# assert before update
assert deserialized.report().get("data_label", None) == "a|b"
assert (
sum(
[
v
for k, v in deserialized.report()
.get("statistics", None)
.get("avg_predictions", None)
.items()
]
)
== 1.0
)
assert deserialized.report().get("statistics", {}).get(
"data_label_representation", None
) == {"a": 0.5, "b": 0.5}

new_data = pd.Series(list(range(100))).apply(str)
new_data = pd.Series(["100"])

# validating update after deserialization with a few small tests
deserialized.update_profile(new_data)
assert deserialized.report().get("data_label", None) == "a|b"
assert (
sum(
[
v
for k, v in deserialized.report()
.get("statistics", None)
.get("avg_predictions", None)
.items()
]
)
== 1.0
)
assert deserialized.report().get("statistics", {}).get(
"data_label_representation", None
) == {"a": 0.6, "b": 0.4}


class TestUnstructuredCompiler(unittest.TestCase):
Expand Down