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Make problem solving process easier

Project description


A simple problem solver written in pure Python

Module provides an easy way to solve various problems that require calculations. Lets imagine a problem formulated in a text file using a some template language. Some places within the problem formulation text correspond to variables that have default values. What does to solve a problem mean in this context? To solve the problem is to 1) define output template (used to render solution), 2) write code that exploits input variables, 3) set up output variables in the code and, finally, 4) render the solution template. With help of solver classes these steps of getting a problem solution can be made easily.

Solver features:
  • arbitrary and independent input and output markups used in problem formulation and solution templates.

  • ability of asynchronous problem solving (Celery is required).

  • heuristic testing of problem solvability.

  • using all of Python computational power (with third party libraries) to solve your problems.

  • using jinja2 template language to produce dynamic parts of a problem formulation/solution.


The solver works under Python 2.7.x and Python 3.3 and higher. The only requirements:

  • jinja2

  • six


Install pysolver

$ pip install python-solver


To run tests enter the command (additionally numpy is required):

$ python -m solver.tests

Usage example

A simple test problem. My name is John. I have 100 $. I want to buy several papers. Each paper worth is 5 $. How many papers can I buy?

Test problem (abstraction level)

test_problem_template_formulation = """My name is {{username}}. I have {{total}} $.
I want to buy several papers. Each paper worth is {{paper_cost}}$.
How many papers can I buy?

test_problem_solution_code = """
    OUTPUTS['name'] = INPUTS['username']
    My name is {{name}} and answer is {{result}}.

from solver import Task, Solver

task = Task(test_problem_template_formulation,
            default_vals={'username': 'John',
            'total': 100, 'paper_cost': 20},
            code = test_problem_solution_code

psolver = Solver(task)

Solve the problem

$ psolver.solve()

or you can try to solve the problem asynchronously instead. if error occur in async_solve, the solve() method will be invoked by default.


Before rendering the results check the problem solution is ready (This step is required, when getting the solution asynchronously)

if psolver.is_solved:

And, finally, print rendered template or do something else.

Project details

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