Estelle Scifo stellasia

A Typical directory structure for running tests using `unittest`

The best solution in my opinion is to use the unittest [command line interface][1] which will add the directory to the sys.path so you don't have to (done in the TestLoader class).

For example for a directory structure like this:

new_project

├── antigravity.py

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

	# https://github.com/tiangolo/fastapi/issues/258#issuecomment-495975801

	from typing import List

	from fastapi import FastAPI
	from starlette.responses import HTMLResponse
	from starlette.websockets import WebSocket, WebSocketDisconnect


	app = FastAPI()

	from __future__ import print_function
	from ortools.constraint_solver import routing_enums_pb2
	from ortools.constraint_solver import pywrapcp


	def create_data_model():
	"""Stores the data for the problem."""
	data = {}
	data['distance_matrix'] = [
	[

	The MIT License (MIT)

	Copyright (c) Plotly, Inc

	Permission is hereby granted, free of charge, to any person obtaining a copy
	of this software and associated documentation files (the "Software"), to deal
	in the Software without restriction, including without limitation the rights
	to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	copies of the Software, and to permit persons to whom the Software is
	furnished to do so, subject to the following conditions:

	#!/usr/bin/env python
	# Implementation of algorithm from http://stackoverflow.com/a/22640362/6029703
	import numpy as np
	import pylab

	def thresholding_algo(y, lag, threshold, influence):
	signals = np.zeros(len(y))
	filteredY = np.array(y)
	avgFilter = [0]*len(y)
	stdFilter = [0]*len(y)

	import numpy as np
	import tensorflow as tf
	from scipy.optimize import minimize
	import matplotlib
	matplotlib.use('PDF')
	import matplotlib.pyplot as plt

	# Generate dataset
	data = np.random.normal(0, 1, 1000)

	// String utils
	//
	// resources:
	// -- mout, https://github.com/mout/mout/tree/master/src/string

	/**
	* "Safer" String.toLowerCase()
	*/
	function lowerCase(str) {
	return str.toLowerCase();

	#!/usr/bin/env python

	#http://geoinformaticstutorial.blogspot.it/2012/09/reading-raster-data-with-python-and-gdal.html
	#http://www.gis.usu.edu/~chrisg/python/2009/lectures/ospy_slides4.pdf

	from osgeo import gdal,ogr
	from osgeo.gdalconst import *
	import struct
	import sys

	# Object-oriented API
	#
	# Memory usage (iteration, object count, memory size)
	# 100 5637 1562216
	# 200 5529 1491528
	# 300 5422 1426264
	# 400 5758 1587376
	# 500 5422 1426288
	# 600 5416 1440456
	# 700 5610 1515056

Estelle Scifo stellasia

A Typical directory structure for running tests using unittest

Python 2.x

A Typical directory structure for running tests using `unittest`