Malamute | fuzzing toolkit initially developed to aid | Interpreter library
kandi X-RAY | Malamute Summary
kandi X-RAY | Malamute Summary
Malamute is a fuzzing toolkit initially developed to aid with regression-test based fuzzing of language interpreters. The ideas behind it were first presented at Infiltrate 2014 as a part of my talk titled Ghosts of Christmas Past: Fuzzing Language Interpreters using Regression Tests. This repository contains the functionality described in the first half of that presentation, making it suitable for fuzzing of interpreters with a command-line interface.
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Top functions reviewed by kandi - BETA
- ExitCode executes an ASAN_EXIT command
- LogFile is the main entry point for testing
- CoverAllSeedsOnce is the same as CoverAllSeeds but accepts a list of seedFiles .
- Run starts a test suite .
- errorCheck validates the configuration .
- main example .
- Create creates a session
- Returns a list of shell s shell paths .
- ReadPathsFromFile returns a list of paths from a file
- GetFilePaths walks the startDir and returns a list of paths that match the desiredExts
Malamute Key Features
Malamute Examples and Code Snippets
Community Discussions
Trending Discussions on Malamute
QUESTION
Okay, so I'm not very good with explaining, but basically i have a simple class - let's say something like this:
...ANSWER
Answered 2020-May-27 at 18:39ResetDogData is not modifying the class-level _dogs member - is it creating a local _dogs variable, populating it, and then doing nothing with it.
To reset the class member's data, change
QUESTION
I have simple app: on pressed button it's show data about dog/cat in format name / age / breed
I use two fragment and eventbus library to set communication beetwen them
fragment that send data in other fragment when button pressed is pretty simple
ANSWER
Answered 2019-Jul-30 at 13:52You can create a json file in assets folder structured like this:
{
"dogs": [
{
"name": "dog1",
"age": 1,
"characteristic": "husky"
},
{
"name": "dog2",
"age": 3,
"characteristic": "husky"
},
...,
{
"name": "dog30",
"age": 3,
"characteristic": "husky"
}
],
"cats": [
{
"name": "cat1",
"age": 1,
"characteristic": "british"
},
{
"name": "cat2",
"age": 2,
"characteristic": "short hair"
},
...,
{
"name": "cat20",
"age": 2,
"characteristic": "short hair"
}
]
}
And read this json file while the app opening. To read you can see this tutorial.
QUESTION
I know how conditional formatting works, but I don't know how to implement a specific formula. For example, I want the cell to be highlighted if any of the animals below is mentioned. I was thinking of creating a conditional formatting rule for each of them, but I think that's not efficient. There has to be a simpler formula.
...ANSWER
Answered 2017-Jun-26 at 20:34I think this will solve your problem. In F2, put this. It creates the join needed for the OR needed in the regexmatch.
QUESTION
I am testing a public API that lists all types of breeds.
Within the response I need to verify if "retriever" breed is within the list. My feature file looks like this
Feature: Testing a REST API
...ANSWER
Answered 2018-Nov-08 at 17:48Look at the response structure carefully. These will work:
QUESTION
I am currently playing with the CaffeNet C++ image classification example. By default, this example using float. And here were the results I got:
...ANSWER
Answered 2018-Aug-20 at 12:09The mean file and the trained parameter you are using in the tutorial are stored in single precision values. Changing float to double in the program does not change the stored values, thus trying to read stored single-precision values as double-precision results with you reading "garbage". You'll have to manually convert the files to double precision values
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