bblanchon

from django.db.models import OuterRef

weapons = Weapon.objects.filter(unit__player_id=OuterRef('id'))
units = Unit.objects.filter(player_id=OuterRef('id'))

qs = Player.objects.annotate(weapon_count=SubqueryCount(weapons),
                             rarity_sum=SubquerySum(units, 'rarity'))

liorshk

def log_run(gridsearch: sklearn.GridSearchCV, experiment_name: str, model_name: str, run_index: int, conda_env, tags={}):
    """Logging of cross validation results to mlflow tracking server
    
    Args:
        experiment_name (str): experiment name
        model_name (str): Name of the model
        run_index (int): Index of the run (in Gridsearch)
        conda_env (str): A dictionary that describes the conda environment (MLFlow Format)
        tags (dict): Dictionary of extra data and tags (usually features)

gbzarelli

from unittest.mock import patch

@patch('builtins.input', lambda _: 'y') # <- value to be returned by input method
def test_should_be_the_correct_value(self):

    # replace with your class or method to be tested:
    value = input('enter with a value')

    assert value == 'y'

stettix

Things I believe

This is a collection of the things I believe about software development. I have worked for years building backend and data processing systems, so read the below within that context.

Agree? Disagree? Feel free to let me know at @JanStette.

Fundamentals

Keep it simple, stupid. You ain't gonna need it.

lucianoratamero

Neovim configs

Instructions:

• download dependencies:
  • https://github.com/sharkdp/fd/releases
  • sudo apt install silversearcher-ag xclip
  • node > 8.10.0
• install FiraCode Nerd Font Retina: https://github.com/ryanoasis/nerd-fonts#patched-fonts
• install neovim: https://github.com/neovim/neovim/wiki/Installing-Neovim#install-from-package

tuantranf

Mocking multiprocess pool apply_async method

It seems python multiprocessing interface relies on pickling, and mock library and pickling don't go well together.

write mock of multiprocess class for pytest

module code

pool = Pool(cpu_count())
pool.apply_async(func=myfunc)

berinhard

Noite de Processing - 27/08/2019

Gist para organizar links e referências que apresentei durante o encontro da Noite de Processing Montando uma Algorave com Python. Mais sobre o que faço pode ser visto aqui.

Requisitos

Precisamos ter instalado:

• SuperCollider
• FoxDot

moayadhani

var ui = SpreadsheetApp.getUi();
function onOpen(e){
  
  ui.createMenu("Gmail Manager").addItem("Get Emails by Label", "getGmailEmails").addToUi();
  
}

function getGmailEmails(){
  var input = ui.prompt('Label Name', 'Enter the label name that is assigned to your emails:', Browser.Buttons.OK_CANCEL);
  

renatogroffe

version: '3'

services:
  mongo-express:
    image: mongo-express
    ports:
      - 8081:8081
    environment:
      ME_CONFIG_BASICAUTH_USERNAME: renatogroffe
      ME_CONFIG_BASICAUTH_PASSWORD: MongoExpress2019!

nivleshc

# Name: ansible-aws-inventory-worker.yml
# Description:   this is the worker file that called the main file (ansible-aws-inventory-main.yml) to to create an inventory of all the
#                specific aws resources. This file, the worker file and the ansible inventory file must be placed in the same folder
# Prerequisites: 
#                - the worker file (ansible-aws-inventory-worker.yml) and the ansible hosts file must be present in the same folder as this file (ansible-aws-inventory-main.yml) 
#                - this script requires read access to all resources it will be querying. An AWS IAM user account must be created with the necessary permissions and with access keys enabled.
#                  At a minimum, to query all the resources mentioned above, the following permissions are required
#                   - AmazonVPCReadOnlyAccess
#                   - AmazonEC2ReadOnlyAccess
#                   - ElasticLoadBalancingReadOnly