def test_normal(self, value, type_hint, is_strict, expected_data, expected_str):
dp = DataProperty(
value, type_hint=type_hint, strict_level_map=get_strict_level_map(is_strict)
)
assert dp.data == expected_data
assert dp.to_str() == expected_str
def test_normal(self, value, type_hint, is_strict, expected_data,
expected_str):
dp = DataProperty(value,
type_hint=type_hint,
strict_level_map=get_strict_level_map(is_strict))
assert dp.data == expected_data
assert dp.to_str() == expected_str
def serialize_dp(dp: DataProperty) -> Any:
if dp.typecode in (Typecode.REAL_NUMBER, Typecode.INFINITY, Typecode.NAN) and isinstance(
dp.data, Decimal
):
return float(dp.data)
if dp.typecode == Typecode.DATETIME:
return dp.to_str()
return dp.data
def test_normal_format_str(self, value, format_flags, expected):
dp = DataProperty(value, format_flags=format_flags)
assert dp.to_str() == expected
def _to_row_item(self, row_idx: int, col_dp: ColumnDataProperty,
value_dp: DataProperty) -> str:
return value_dp.to_str()
def test_normal_format_str(self, value, format_flags, expected):
dp = DataProperty(value, format_flags=format_flags)
assert dp.to_str() == expected
