47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
|
# Copyright 2019, The TensorFlow Authors.
|
||
|
|
#
|
||
|
|
# Licensed 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.
|
||
|
|
"""Utility methods for testing private queries.
|
||
|
|
|
||
|
|
Utility methods for testing private queries.
|
||
|
|
"""
|
||
|
|
|
||
|
|
from __future__ import absolute_import
|
||
|
|
from __future__ import division
|
||
|
|
from __future__ import print_function
|
||
|
|
|
||
|
|
|
||
|
|
def run_query(query, records, weights=None):
|
||
|
|
"""Executes query on the given set of records as a single sample.
|
||
|
|
|
||
|
|
Args:
|
||
|
|
query: A PrivateQuery to run.
|
||
|
|
records: An iterable containing records to pass to the query.
|
||
|
|
weights: An optional iterable containing the weights of the records.
|
||
|
|
|
||
|
|
Returns:
|
||
|
|
The result of the query.
|
||
|
|
"""
|
||
|
|
global_state = query.initial_global_state()
|
||
|
|
params = query.derive_sample_params(global_state)
|
||
|
|
sample_state = query.initial_sample_state(global_state, next(iter(records)))
|
||
|
|
if weights is None:
|
||
|
|
for record in records:
|
||
|
|
sample_state = query.accumulate_record(params, sample_state, record)
|
||
|
|
else:
|
||
|
|
for weight, record in zip(weights, records):
|
||
|
|
sample_state = query.accumulate_record(
|
||
|
|
params, sample_state, record, weight)
|
||
|
|
result, _ = query.get_noised_result(sample_state, global_state)
|
||
|
|
return result
|