Sklavit

# @ https://cheat.readthedocs.io/en/latest/python/mock.html

obj.call_count  # number of times it was called
obj.called == obj.call_count > 0
obj.call_args_list  # a list of (args,kwargs), one for each call
obj.call_args  # obj.call_args_list[-1] (args,kwargs from last call)
obj.return_value  # set to what it should return
obj.side_effect  # set to an exception class or instance that should be raised when its called
obj.assert_called() # doesn't work with autospec=True? just assert obj.called
obj.assert_called_with(*args, **kwargs)  # last call was with (*args, **kwargs)

M0r13n

  <form action="" method="POST" role="form" class="form">
            {{ form.hidden_tag() }}
            <!--Other fields-->
            {{ wtf.form_field(form.tags, placeholder='audio, hardware, chip') }}
            <button class="btn btn-success" type="submit">submit</button>
  </form>

rms1000watt

# Courtesy of: https://stackoverflow.com/a/11974399

{%- for item in items %}
[
"{{item}}"{{ "," if not loop.last }}
]
{%- endfor %}

jefftriplett

name: CI

on: [push]

jobs:

  test:
    runs-on: ubuntu-latest

    services:

vulcan25

TODO: write readme

finnmglas

<!-- Create badges / shields like on shields.io
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  -- Fully adjustable, use this for whatever you want ^^
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m4rk4

var socket;
var fcastUrl;
fetch('https://fastcast.semfs.engsvc.go.com/public/websockethost')
  .then(
    function(response) {
      if (response.status !== 200) {
        console.log('Looks like there was a problem. Status Code: ' + response.status);
        return;
      }

ivangeorgiev

Python Subclass Factory

How to implement subclass-based plugin architecture? How to handle polymorphism from persisted data?

e-kondr01

Run API tests with Pytest, FastAPI and Async SQLAlchemy. Changes made in test functions are not persisted to DB, even if await session.commit() is called. This allows tests to be independent, able to run in parallel or in a shuffled order without affecting the result.

This snippet does not include creation of DB tables, as I use Alembic for migration management and advise you to do the same (even in tests).

shiningflash

Advanced Pydantic Usage Guide

Introduction

This guide explores advanced features of Pydantic, a powerful library for data validation and settings management in Python, leveraging type annotations. Aimed at enhancing backend development, it covers complex usage patterns, custom validation techniques, and integration strategies.

For basic user guide, follow the official documentation.

Custom Validators