<!---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
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. --->
Distill provides analysts with three main processing functions: one function for searching UserALE logs and two functions that help to transform iterables into tuples. These functions are described below:
Distill's search function, find_meta_values, uses list comprehension to list out all the unique values for a specific key in a dictionary. This can be particularly useful when attempting to list out unique values in UserALE logs. An example usage of this function can be seen below:
# Sorted dictionary of UserALE logs sorted_dict # List of unique values for the target field target_vals = distill.find_meta_values('target', sorted_dict, unique=True)
Distill's transformation functions: pairwiseStag and pairwiseSeq, create tuples based on an iterable series or list. These tuples can then be used as edge lists. Example usages of both of these functions can be seen below:
test_list = [1, 2, 3, 4] stag_result = distill.pairwiseStag(test_list) # [(1, 2), (3, 4)] seq_result = distill.pairwiseSeq(test_list) # [(1, 2), (2, 3), (3, 4)]