AlenkaF commented on code in PR #36162:
URL: https://github.com/apache/arrow/pull/36162#discussion_r1250513824
##########
python/pyarrow/tests/test_convert_builtin.py:
##########
@@ -2363,3 +2363,141 @@ def test_array_from_pylist_offset_overflow():
assert isinstance(arr, pa.ChunkedArray)
assert len(arr) == 2**31
assert len(arr.chunks) > 1
+
+
+@parametrize_with_collections_types
[email protected](('data', 'scalar_data', 'value_type'), [
+ ([True, False, None], [pa.scalar(True), pa.scalar(False), None],
pa.bool_()),
+ (
+ [1, 2, None],
+ [pa.scalar(1), pa.scalar(2), pa.scalar(None, pa.int64())],
+ pa.int64()
+ ),
+ ([1, None, None], [pa.scalar(1), None, pa.scalar(None, pa.int64())],
pa.int64()),
+ ([None, None], [pa.scalar(None), pa.scalar(None)], pa.null()),
+ ([1., 2., None], [pa.scalar(1.), pa.scalar(2.), None], pa.float64()),
+ (
+ [None, datetime.date.today()],
+ [None, pa.scalar(datetime.date.today())],
+ pa.date32()
+ ),
+ (
+ [None, datetime.date.today()],
+ [None, pa.scalar(datetime.date.today(), pa.date64())],
+ pa.date64()
+ ),
+ (
+ [datetime.time(1, 1, 1), None],
+ [pa.scalar(datetime.time(1, 1, 1)), None],
+ pa.time64('us')
+ ),
+ (
+ [datetime.timedelta(seconds=10)],
+ [pa.scalar(datetime.timedelta(seconds=10))],
+ pa.duration('us')
+ ),
+ (
+ [None, datetime.datetime(2014, 1, 1)],
+ [None, pa.scalar(datetime.datetime(2014, 1, 1))],
+ pa.timestamp('us')
+ ),
+ (
+ [pa.MonthDayNano([1, -1, -10100])],
+ [pa.scalar(pa.MonthDayNano([1, -1, -10100]))],
+ pa.month_day_nano_interval()
+ ),
+ (["a", "b"], [pa.scalar("a"), pa.scalar("b")], pa.string()),
+ ([b"a", b"b"], [pa.scalar(b"a"), pa.scalar(b"b")], pa.binary()),
+ (
+ [b"a", b"b"],
+ [pa.scalar(b"a", pa.binary(1)), pa.scalar(b"b", pa.binary(1))],
+ pa.binary(1)
+ ),
+ ([[1, 2, 3]], [pa.scalar([1, 2, 3])], pa.list_(pa.int64())),
+ ([["a", "b"]], [pa.scalar(["a", "b"])], pa.list_(pa.string())),
+ (
+ [1, 2, None],
+ [pa.scalar(1, type=pa.int8()), pa.scalar(2, type=pa.int8()), None],
+ pa.int8()
+ ),
+ ([1, None], [pa.scalar(1.0, type=pa.int32()), None], pa.int32()),
+ (
+ ["aaa", "bbb"],
+ [pa.scalar("aaa", type=pa.binary(3)), pa.scalar("bbb",
type=pa.binary(3))],
+ pa.binary(3)),
+ ([b"a"], [pa.scalar("a", type=pa.large_binary())], pa.large_binary()),
+ (["a"], [pa.scalar("a", type=pa.large_string())], pa.large_string()),
+ (
+ ["a"],
+ [pa.scalar("a", type=pa.dictionary(pa.int64(), pa.string()))],
+ pa.dictionary(pa.int64(), pa.string())
+ ),
+ (
+ ["a", "b"],
+ [pa.scalar("a", pa.dictionary(pa.int64(), pa.string())),
+ pa.scalar("b", pa.dictionary(pa.int64(), pa.string()))],
+ pa.dictionary(pa.int64(), pa.string())
+ ),
+ (
+ [1],
+ [pa.scalar(1, type=pa.dictionary(pa.int64(), pa.int32()))],
+ pa.dictionary(pa.int64(), pa.int32())
+ ),
+ (
+ [(1, 2)],
+ [pa.scalar([('a', 1), ('b', 2)], type=pa.struct(
+ [('a', pa.int8()), ('b', pa.int8())]))],
+ pa.struct([('a', pa.int8()), ('b', pa.int8())])
+ ),
+ (
+ [(1, 'bar')],
+ [pa.scalar([('a', 1), ('b', 'bar')], type=pa.struct(
+ [('a', pa.int8()), ('b', pa.string())]))],
+ pa.struct([('a', pa.int8()), ('b', pa.string())])
+ )
+])
+def test_array_accepts_pyarrow_scalar(seq, data, scalar_data, value_type):
+ if type(seq(scalar_data)) == set:
+ pytest.skip("TODO: The elements in the set get reordered.")
Review Comment:
Created (probably not the nicest way) to test sets also
([bfb17c6](https://github.com/apache/arrow/pull/36162/commits/bfb17c693cce362998f3bc80675e22f01d935123)).
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]