BeOleg

class SodukuValidator:
    def __init__(self, size, input):
        self.size = size
        self.outer_size = self.size * self.size
        self.solution = []
        inner_idx = 0
        for i in range(0, self.outer_size):
            self.solution.append([])
            for j in range(0, self.outer_size):
                self.solution[i].append(input[inner_idx])

BeOleg

#!/bin/bash

RUNNING_CONTAINER=$(docker ps -q --filter "ancestor=$BOX_NAME" --filter name="wercker-pipeline-" --filter status=running)

function use_running_container {
    coverage_cmd="coverage erase"
    coverage_cmd="${coverage_cmd} && coverage run --source='.' manage.py test -v 3 --pattern='test_*.py'"
    coverage_cmd="${coverage_cmd} && coverage report "
    coverage_cmd="${coverage_cmd} && coverage html -d cover"

BeOleg

@pitervergara @BeOleg @Xpktro
RawBlameHistory     
289 lines (279 sloc)  10.1 KB
box: pitervergara/geodjango:photobasa

services:
  # TODO:
  # This service will be used in production too.
  # It's better to move this block into the "dev" pipeline
  # so it aplies only there. Than set the posgtgres

BeOleg

# 1. Create a Python function that gets an integer between 1 - 12 (as an hour) and returns the exact time in hours
#    and minutes at which the hands of the clock overlap at this hour
#   (for example, for 1, the result will be close to 1:06)
# 2. create a unit test for this function, using 'assert', or the Python 'unittest' framework
# 3. [BONUS]
#    a. add also seconds calculation to the return value of the function.
#    b. calculate the angle of the hands in 360 degrees system
#       taking 12:00 (noon, midnight) as a point of reference
# ATTENTION: You do not need to import any modules to implement this task

BeOleg

Comprehensions in Python the Jedi way

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

All of the tasks presented in the examples can be accomplished with the extensive standard library available in Python. These solutions would arguably be more terse and efficient in some cases. I don't have anything against the standard library. To me there is a certain

BeOleg

# 1. Create a Python function that gets an integer between 1 - 12 (as an hour) and returns the exact time in hours
#    and minutes at which the hands of the clock overlap at this hour
#   (for example, for 1, the result will be close to 1:06)
# 2. create a unit test for this function, using 'assert', or the Python 'unittest' framework
# 3. [BONUS]
#    a. add also seconds calculation to the return value of the function.
#    b. calculate the angle of the hands in 360 degrees system
#       taking 12:00 (noon, midnight) as a point of reference
# ATTENTION: You do not need to import any modules to implement this task

BeOleg

Installing Python 3 compatible Fabric

Unfortunately, Fabric has not yet officilly been ported to Python 3. However, it is possible to get it to work. Here is how I did it.

First, create a virtual environment to run fabric in. (If you haven't set up virtual environments for Python, go ahead and do that now, then come back.) I have the [fink environment] (http://finkproject.org) installed on my Mac, and

BeOleg

function asanaRequest($methodPath, $httpMethod = 'GET', $body = null)
{
	$apiKey = 'ASANA_API_KEY_HERE'; /// Get it from http://app.asana.com/-/account_api
	
	$url = "https://app.asana.com/api/1.0/$methodPath";
	$ch = curl_init();
	curl_setopt($ch, CURLOPT_URL, $url);
	curl_setopt($ch, CURLOPT_HTTPAUTH, CURLAUTH_BASIC ) ; 
	curl_setopt($ch, CURLOPT_USERPWD, $apiKey); 
	curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);

BeOleg

import unittest
from suduko import SodukuValidator


class TestSodukuValidator(unittest.TestCase):
    def test_validate_rows_return_true_when_rows_not_contains_duplicates(self):
        test_input = '182543697' \
                     '965178342' \
                     '743962815' \
                     '374896521' \