Alexander Nenninger AlexanderNenninger

Using py.test is great and the support for test fixtures is pretty awesome. However, in order to share your fixtures across your entire module, py.test suggests you define all your fixtures within one single conftest.py file. This is impractical if you have a large quantity of fixtures -- for better organization and readibility, you would much rather define your fixtures across multiple, well-named files. But how do you do that? ...No one on the internet seemed to know.

Turns out, however, you can define fixtures in individual files like this:

tests/fixtures/add.py

import pytest

@pytest.fixture

	import polars as pl
	import pyarrow.compute as pc

	# Example df
	df = pl.DataFrame(
	[
	pl.Series("a", [1, 2, 3], dtype=pl.Int64),
	]
	)

	use std::boxed::Box;

	type Callback<U, T> = Box<dyn Fn(&mut U, &T)>;
	type Condition<U, T> = Box<dyn Fn(&U, &T) -> bool>;
	type Effect<U, T> = Box<dyn Fn(&mut U, &T)>;

	fn make_callback<U: 'static, T: 'static>(
	condition: Condition<U, T>,
	effect: Effect<U, T>,
	) -> Callback<U, T> {

	#!/usr/bin/env python3

	import sys
	import re

	points = set()
	folds = []

	for line in sys.stdin:
	line = line.strip()

	import torch


	class StandardScaler:

	def __init__(self, mean=None, std=None, epsilon=1e-7):
	"""Standard Scaler.

	The class can be used to normalize PyTorch Tensors using native functions. The module does not expect the
	tensors to be of any specific shape; as long as the features are the last dimension in the tensor, the module

	using Dates

	escaped_format = "yyyy-mm-dd\\THH:MM:SS.sss\\Z"
	Zulu = String
	Dates.CONVERSION_SPECIFIERS['Z'] = Zulu
	Dates.CONVERSION_DEFAULTS[Zulu] = ""
	df = Dates.DateFormat(escaped_format)

	function convert_date(datestring::String)
	Dates.parse(DateTime, datestring, df)