vibhatha commented on code in PR #12590: URL: https://github.com/apache/arrow/pull/12590#discussion_r858245724
########## python/pyarrow/tests/test_udf.py: ########## @@ -0,0 +1,545 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + + +import pytest + +import pyarrow as pa +from pyarrow import compute as pc + + +# Marks all of the tests in this module +# Ignore these with pytest ... -m 'not udf' +# pytestmark = pytest.mark.udf + +unary_doc = {"summary": "add function", + "description": "test add function"} + + [email protected](scope="session") +def udf_context(): + return pc._get_scalar_udf_context(pa.default_memory_pool(), 0) + + [email protected](scope="session") +def unary_func_fixture(): + def unary_function(udf_context, scalar1): + return pc.call_function("add", [scalar1, 1]) + return unary_function + + +binary_doc = {"summary": "y=mx", + "description": "find y from y = mx"} + + [email protected](scope="session") +def binary_func_fixture(): + def binary_function(ctx, m, x): + return pc.call_function("multiply", [m, x]) + return binary_function + + +ternary_doc = {"summary": "y=mx+c", + "description": "find y from y = mx + c"} + + [email protected](scope="session") +def ternary_func_fixture(): + def ternary_function(ctx, m, x, c): + mx = pc.call_function("multiply", [m, x]) + return pc.call_function("add", [mx, c]) + return ternary_function + + +varargs_doc = {"summary": "z=ax+by+c", + "description": "find z from z = ax + by + c" + } + + [email protected](scope="session") +def varargs_func_fixture(): + def varargs_function(ctx, *values): + base_val = values[:2] + res = pc.call_function("add", base_val) + for other_val in values[2:]: + res = pc.call_function("add", [res, other_val]) + return res + return varargs_function + + [email protected](scope="session") +def random_with_udf_ctx_func_fixture(): + def random_with_udf_ctx(context, one, two): + old_pool = pa.default_memory_pool() + proxy_pool = pa.proxy_memory_pool(context.memory_pool) + pa.set_memory_pool(proxy_pool) + try: + ans = pc.add(one, two, memory_pool=proxy_pool) + allocated_before = proxy_pool.bytes_allocated() + # allocating 64 bytes + res = pa.array([ans.as_py()], memory_pool=proxy_pool) + allocated_after = proxy_pool.bytes_allocated() + finally: + pa.set_memory_pool(old_pool) + assert allocated_before == 0 + assert allocated_after == 64 Review Comment: I see your point, is there a safe way to validate the memory allocation and the metadata in the context object? -- 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]
