def check_cython_coder(self, python_field_coders, cython_field_coders,
data):
from apache_beam.coders.coder_impl import create_InputStream, create_OutputStream
from pyflink.fn_execution.fast_coder_impl import InputStreamAndFunctionWrapper
py_flatten_row_coder = coder_impl.FlattenRowCoderImpl(
python_field_coders)
internal = py_flatten_row_coder.encode(data)
input_stream = create_InputStream(internal)
output_stream = create_OutputStream()
cy_flatten_row_coder = fast_coder_impl.FlattenRowCoderImpl(
cython_field_coders)
value = cy_flatten_row_coder.decode_from_stream(input_stream, False)
wrapper_func_input_element = InputStreamAndFunctionWrapper(
lambda v: [v[i] for i in range(len(v))], value)
cy_flatten_row_coder.encode_to_stream(wrapper_func_input_element,
output_stream, False)
generator_result = py_flatten_row_coder.decode_from_stream(
create_InputStream(output_stream.get()), False)
result = []
for item in generator_result:
result.append(item)
try:
self.assertEqual(result, data)
except AssertionError:
self.assertEqual(len(result), len(data))
self.assertEqual(len(result[0]), len(data[0]))
for i in range(len(data[0])):
if isinstance(data[0][i], float):
from pyflink.table.tests.test_udf import float_equal
assert float_equal(data[0][i], result[0][i], 1e-6)
else:
self.assertEqual(data[0][i], result[0][i])
def _create_impl(self):
return coder_impl.FlattenRowCoderImpl(
[c.get_impl() for c in self._field_coders])