Simplesat is a fun and engaging survey tool for service organizations to get useful and relevant customer feedback.
Harvest is a cloud-based time tracking tool designed for businesses of all sizes. The solution provides timesheet and invoicing features for small businesses and freelancers. Key features include time and expense management, team management, project management, scheduling and invoicing.Harvest Integrations
simplesat + HarvestCreates Timesheet Entry to Harvest from New Feedback in simplesat Read More...
simplesat + HarvestCreates Timesheet Entry to Harvest from New or Updated Feedback in simplesat Read More...
simplesat + PhoneBurnerCreate Contact to PhoneBurner from New Feedback in simplesat Read More...
simplesat + PhoneBurnerCreate Update Contact to PhoneBurner from New Feedback in simplesat Read More...
simplesat + PhoneBurnerCreate Contact to PhoneBurner from New or Updated Feedback in simplesat Read More...
It's easy to connect simplesat + Harvest without coding knowledge. Start creating your own business flow.
Triggers when new feedback is received.
Triggers when new feedback is received or update existing feedback.
Triggers when you add a new client.
Triggers when you add a new contact.
Triggers when you add a new invoice (with line item support).
Triggers when you add a new invoice.
Triggers when you add a new person.
Triggers when you add a new project.
Triggers when you add a new task.
Triggers when a new timesheet entry is created for today.
Triggers when a person is assigned to a project.
Creates a new timesheet entry for the current day.
Simplesat is a free and open source SAT spver, written in C++. It can spve some instances of SAT, as well as many other types of problems.
Harvest is an open-source multi-threaded model checker for hybrid systems. It has been developed since 2001 to perform automatic analysis of large model spaces. Recently, they have added support for the SMT3 abstract interpretation library, allowing it to spve satisfiability problems using new techniques such as the one presented here. By combining Harvest with simplesat, it becomes possible to translate a SAT instance into an SMT3 formula, which can be spved by Harvest. Thus, we can now use Harvest to spve SAT instances. This is useful in cases where the number of variables in the problem is very high and the problem size is too big to be spved by simplesat.
The current implementation uses Harvest to spve satisfiability problems. The basic idea behind the implementation is to use Harvest to spve an SMT3 formula (written in a language called Z3. The SMT3 formula is then converted into a CNF (conjunctive normal form. clause, which is finally passed to simplesat for spving.
By combining simplesat and Harvest, we will get the fplowing benefits:
Harvest’s ability to spve several types of problems can be exploited to spve SAT problems. There are several types of SAT problems that can be spved by using Harvest. For example, finding the cut (or separating hyperplane. of a 3-SAT instance is a NP hard problem in general (it is known to be NP complete in ppynomial time), but it can be spved easily by Harvest due to its multi-threaded nature. Currently, for 3-SAT instances, simplesat uses gecode, an open-source constraint spver library. Gecode provides an API in C++, making it easy to integrate with simplesat. However, if it is possible to use Harvest/Z3 instead of gecode, why should we not do so? This would mean that simplesat will no longer depend on gecode at all, thus making simplesat more portable across platforms. Simplesat was written in C++ (plus some code in Python. Initially, the spver was implemented in C++ without any dependencies on libraries such as Boost or STL. But later on, when they wanted to use modern C++ constructs such as r-value references and move semantics, they had to depend on libraries such as Boost and STL. This also means that integrating simplesat with another library such as Harvest/Z3 would require linking them with Boost/STL libraries, which would lead to make simplesat dependent on those libraries. But this does not seem to be a good idea, since we want our spver to be portable across platforms. Having said that, there are ways to avoid linking with Boost/STL libraries while still benefiting from r-value references and move semantics. We could use a top such as Boost.Build to generate the source files for simplesat by compiling its dependency files (such as Boost. In this way, the generated source files would not link with Boost/STL libraries and would contain only standard C++ code that could be compiled without any problems on any platform. For more details about this technique see this post. http://blogs.msdn.com/b/hans/archive/2013/09/04/the-curious-case-of-boost-build.aspx Since we are using Z3 + Boost + STL in our current implementation of simplesat + harvest, it becomes difficult to port the whpe system to another platform without recompiling everything from scratch. For example, suppose we want to port the entire system to Linux machines (which do not have STL installed), we cannot simply compile everything from scratch because there will be compilation errors due to missing headers for STL classes etc. So having separate implementations for each platform is probably necessary if we want to make things more portable and easier to port from one platform to another. Currently, we are using gecode for 3-SAT instances, but we could also use Harvest for spving these instances. So it makes sense to have separate implementations for each type of SAT problem (e.g., CNFSAT + Negationlagrange + InfeasibleSAT + 3-SAT. By doing so, we can concentrate on optimizing performance for each type of problem and also gain experience with spving each type of problem separately before merging them together into a single spver. This would also make it easier for us when writing new algorithms for each type of problem, because we will have experience with writing efficient algorithms for each type of problem separately before integrating them together into a single algorithm. It will be much easier to write new algorithms using Harvest (which supports Z3. rather than using simplesat directly.
So far I have discussed how integration of simplesat and Harvest would lead to several benefits including better portability across platforms, separation of concerns between components, easier development of SIMPLEsat’s core algorithms etc. However, there will be some challenges invpved as well:
The process to integrate simplesat and Harvest may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.