Metadata-Version: 1.1
Name: pyler
Version: 0.2.0
Summary: Helper architecture for tackling Project Euler problems
Home-page: https://github.com/ewjoachim/pyler
Author: Joachim Jablon
Author-email: ewjoachim@gmail.com
License: MIT
Description: #####
        Pyler
        #####
        
        .. image:: https://badge.fury.io/py/pyler.svg
            :target: https://badge.fury.io/py/pyler
            :alt: PyPI
        
        .. image:: https://travis-ci.org/ewjoachim/pyler.svg?branch=master
            :target: https://travis-ci.org/ewjoachim/pyler
            :alt: Travis
        
        .. image:: https://ci.appveyor.com/api/projects/status/m682wag0w47yexyw?svg=true
            :target: https://ci.appveyor.com/project/ewjoachim/pyler
            :alt: AppVeyor
        
        .. image:: https://img.shields.io/codecov/c/github/ewjoachim/pyler/master.svg
            :target: https://codecov.io/github/ewjoachim/pyler?branch=master
            :alt: Codecov
        
        Pyler is a lib that helps tackling Project Euler problems using Python
        
        How ?
        =====
        
        .. code-block:: console
        
            $ pip install pyler
        
        
        Generate a file
        ---------------
        
        .. code-block:: console
        
            # generates the file for problem 1
            $ pyler gen 1
            # generates the file for problems 1 to 10, 14 and 17 to 24
            $ pyler gen 1-10,14,17-24
            # generates the first not-yet-generated problem
            $ pyler gen next
            # generates all available problems
            $ pyler gen all
        
        
        You get the idea !
        
        This will generate a file that has more or less everything for beginning the real work.
        Just fill the variables and code your solution into solver.
        
        .. code-block:: python
        
            from pyler import EulerProblem
        
        
            class Problem0001(EulerProblem):
                """
                If we list all the natural numbers below 10 that are multiples of 3 or 5, we
                get 3, 5, 6 and 9. The sum of these multiples is 23. Find the sum of all the
                multiples of 3 or 5 below 1000.
                """
                problem_id = 1
                simple_input = 0
                simple_output = 1
                real_input = 0
        
                def solver(self, input_val):
                    return 0
        
            if __name__ == '__main__':
                import unittest
                unittest.main()
        
        You can change the path where the files are being generated using ``--path`` and
        the template used with ``--template=path/to/template.py``, the template file must be compatible
        with Python's [``.format``](https://pyformat.info/) function and will recieve 2 variables : ``doc``
        and ``problem_id``
        
        BTW : yes, the docstring is scraped from the website.
        
        Test your solution
        ------------------
        
        .. code-block:: console
        
            # Tests the implementation of the first problem
            $ pyler test 1
            # Well I'm sure you know what this does
            $ pyler test 1-10,14,17-24
            # Tests the last problem
            $ pyler test last
        
        
        You may also use unittest or the testing tool of your choice that accept unittest TestCases.
        Calling Python on the problem file directly will also launch the tests.
        
        Launching the tests on your solution module will test your solution for :
        
        * The simple test case (the one that's given in the statement)
        * The real test case (it will check on the real website to do so). The first
          time, it will ask for your credentials (stored in a local file
          ``.pyler.conf``) and now and then, it will ask you to solve the captchas. If
          you have already validated the problem, it will check the solution from the
          page. Otherwise, it will submit the solution for you.
        * A test ensuring that your implementation takes less than 1 minute. If you're
          not using Windows, it will stop at 1 minute. Otherwise, it will fail when
          the computation is over.
        
        You can use any number of ``--only=x`` and ``--skip=x`` flags with x
        being ``simple``, ``real``, ``time``.
        
Keywords: project-euler,tdd
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
