def test_deserialize_buffer_in_different_process():
import tempfile
f = tempfile.NamedTemporaryFile(delete=False)
b = pa.serialize(pa.py_buffer(b'hello')).to_buffer()
f.write(b.to_pybytes())
f.close()
test_util.invoke_script('deserialize_buffer.py', f.name)
def test_read_year_month_nano_interval(tmpdir):
"""ARROW-15783: Verify to_pandas works for interval types.
Interval types require static structures to be enabled. This test verifies
that they are when no other library functions are invoked.
"""
mdn_interval_type = pa.month_day_nano_interval()
schema = pa.schema([pa.field('nums', mdn_interval_type)])
path = tmpdir.join('file.arrow').strpath
with pa.OSFile(path, 'wb') as sink:
with pa.ipc.new_file(sink, schema) as writer:
interval_array = pa.array([(1, 2, 3)], type=mdn_interval_type)
batch = pa.record_batch([interval_array], schema)
writer.write(batch)
invoke_script('read_record_batch.py', path)
def test_type_to_pandas_dtype_check_import():
# ARROW-7980
test_util.invoke_script('arrow_7980.py')
