Sharadh

package main

import (
	"fmt"
	"math/rand"
	"time"
)

const (
	simulationDurationSeconds   = 10

Sharadh

import pytest

@pytest.fixture
def first():
    print("Set up first fixture")
    yield
    print("Clean up first fixture")


@pytest.fixture

Sharadh

import pytest


def process_file(fp):
    """Toy function that returns an array of line lengths."""
    return [len(l.strip()) for l in fp.readlines()]


@pytest.mark.parametrize("filename, expected", [
    ("first.txt", [3, 3, 3]),

Sharadh

import pytest


def divide(a, b):
    return a / b


@pytest.mark.parametrize("a, b, expected, is_error", [
    (1, 1, 1, False),
    (42, 1, 42, False),

Sharadh

from copy import deepcopy

import pytest


@pytest.fixture
def alex():
    return {
        "name": "Alex",
        "team": "Green",

Sharadh

"""Add this to <project-root>/mocker_over_mock.py"""

import pytest

try:
    import mock  # fails on Python 3
except ImportError:
    from unittest import mock

Sharadh

"""Add this to <project-root>/mocker_over_mock.py"""

import pytest

try:
    import mock  # fails on Python 3
except ImportError:
    from unittest import mock

Sharadh

> nwml train
Starting local training for nwpy-ml-iris
Loading the ml.train entry point...
  * Success!
...
Done!

> nwml batch-predict
...
Done!