def test_cast_copy():
s = pd.Series(["1", "2", "3", "4"])
id_s = hex(id(s))
typeset = CompleteSet()
ns = typeset.cast_series(s)
id_ns = hex(id(ns))
assert id_s != id_ns
def test_noncast_noncopy():
s = pd.Series(["asdasd", "asdasda", "asdasd", "sadasd"])
id_s = hex(id(s))
typeset = CompleteSet()
ns = typeset.cast_series(s)
id_ns = hex(id(ns))
assert id_s == id_ns
def test_consistency(series):
typeset = CompleteSet()
if (series.name in [
"timedelta_series_nat", "date_series_nat", "timestamp_series_nat"
] and sys.version_info.major == 3 and sys.version_info.minor == 7):
pytest.skip("unsupported configuration")
initial_type = typeset.detect_series_type(series.copy(deep=True))
converted_type = typeset.infer_series_type(series.copy(deep=True))
if initial_type != converted_type:
converted_series = typeset.cast_series(series.copy(deep=True))
assert series.dtype.kind != converted_series.dtype.kind or not (
(converted_series.eq(series) |
(converted_series.isna() & series.isna())).all())
else:
converted_series = typeset.cast_series(series.copy(deep=True))
assert (converted_series.eq(series) |
(converted_series.isna() & series.isna())).all()
def test_multiple_inference(series):
"""
Notes:
Copy to prevent possible side effects only for testing.
"""
ts = CompleteSet()
inferred_type = ts.infer_series_type(series)
series_convert = ts.cast_series(series.copy(deep=True))
initial_type_after_convert = ts.detect_series_type(
series_convert.copy(deep=True))
assert inferred_type == initial_type_after_convert
series_convert2 = ts.cast_series(series_convert.copy(deep=True))
inferred_type_after_convert = ts.detect_series_type(
series_convert2.copy(deep=True))
assert initial_type_after_convert == inferred_type_after_convert
assert series_convert.isna().eq(series_convert2.isna()).all()
assert (series_convert[series_convert.notna()].eq(
series_convert2[series_convert2.notna()]).all())