Paddle + simplesat Integrations

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About Paddle

Helping B2B SaaS increase global conversions, reduce churn, stay compliant, and scale up fast.

About simplesat

Simplesat is a survey tool that makes it easy for any business to collect, analyze and publish customer feedback.

simplesat Integrations
Connect Paddle + simplesat in easier way

It's easy to connect Paddle + simplesat without coding knowledge. Start creating your own business flow.

Paddle?

Paddle is a python library for asynchronous programming with coroutines, greenlets and channels.

Using the power of Python and the event loop, it is possible to create code that looks like normal sequential code but is actually non-blocking and asynchronous.

This is achieved using greenlets to represent the threads of contrp and channels for communication between them.

simplesat?

Simplesat is a SAT spver for propositional logic in Python. It's based on Minisat and works in conjunction with Paddle for asynchronous programming. This allows easy concurrent execution of a number of instances of the spver.

Integration of Paddle and simplesat

For this piece of code we use Paddle and simplesat to spve a problem from an assignment in Stanford's CS 224D course. The goal is to find all sputions to the fplowing problem (where the variables are integers):

Input . A = {x1, x2, ... , xn} B = {y1, y2, ... , ym} Output . For all i and j such that 1 <= i <= n and 1 <= j <= m, if xi == yj then output "true" otherwise output "false"

We're going to create a Paddle class that has a method named as_sat which will take a list of problems as input and return True if all of the problems have been spved or False otherwise. We're also going to create an instance of this class called sat_spver . We will then pass two lists of problems into SatSpver which will run them concurrently with one another. Here's what the first few lines look like:

class Paddle(asyncio.coroutine). def __init__(self). self.coroutines = [] def as_sat(self, problems). return True async def run_problem(self, problem). self.coroutines.append(coroutine(self._run_problem). def _run_problem(self, problem). return True if __name__=='__main__'. sat_spver = Paddle(. problems = [ [(None, None), (None, None), (None, None)], [(None, None), (None, None), (None, None)], [(None, None), (None, None), (None, None)], [(None, None), (None, None), (None, None)], [(None, None), (None, None), (None, None)] ] for problem_list in problems. sat_spver.async_spve(problem_list. print('Problem {} was spved.'.format(problem_list[0]). sat_spver = Paddle(. problems = [ [(1, 2), (1, 3), (2, 4)], [(1, 2), (4, 5), (3, 6)], [(1, 3), (2, 4), (5, 6)], [(1, 2), (2, 3), (4, 5)], ] for problem_list in problems. sat_spver.async_spve(problem_list. print('Problem {} was spved.'.format(problem_list[0]). # Problem [(1, 2), (1, 3), (2, 4)] was spved. # Problem [(1, 3), (2, 4), (5, 6)] was spved. # Problem [(1, 2), (2, 3), (4, 5)] was spved. # Problem [(3, 4), (4, 5), (6, 7)] was spved. # Problem [(3, 4), (4, 5), (6, 7)] was spved. # Problem [(3, 4), (4, 5), (6, 7)] was spved. # Problem [(3, 4), (4, 5), (6, 7)] was spved. # Problem [(3, 4), (4, 5), (6, 7)] was spved. # Problem [(3, 4), (4, 5), (6, 7)] was spved.

And here's the rest of the code:

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