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test-framework

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zfields
zfields commented Feb 12, 2021

Description

I have a hardware abstraction layer interface, as well as a driver interface. I have multiple drivers utilizing the HAL interface, while implementing the driver interface. This plugin approach causes me to have identically named tests across multiple test files.

For example:

TEST_CASE("init() returns `E_HAL_INIT`, when HardwareAbstractionLayer::init() returns an er
mikkelbu
mikkelbu commented Apr 23, 2019

This is a corner case that I only ran into in due to work on the analyzers in nunit/nunit.analyzers#54, and my guess is that very few will run into this problem. Nevertheless, I think we could improve the error message, and fix seems simple and safe.

Given a generic test method with no parameters we get a failure that is difficult to interpret for the users (see last example below for more deta

bethesque
bethesque commented Jul 22, 2021

Please add support for the following keys to be used in the consumer version selectors when fetching pacts for verification:

{ "deployedOrReleased": true }

{ "deployed": true }

{ "released": true }

{ "environment": "<env name>" }

{ "consumer": "<name>" } // this may already be supported, please add it if not

These keys can be used in various combinations ( eg. `{ "env

mgoltzsche
mgoltzsche commented Jun 11, 2021

Software versions

  • OS: linux
  • Consumer Pact library: Pact go v1.5.3
  • Provider Pact library: Pact go v1.5.3
  • Golang Version: 1.15

Expected behaviour

The pact go library should allow to exactly match multiple occurrences of the same query parameter as it is supported within pact files and by libraries for other platforms as shown e.g. [here](https://docs.pact.io

tomato42
tomato42 commented Oct 26, 2020

Feature request

Is your feature request related to a problem? Please describe

The analysis.py script provides just one confidence interval: 95%. While that is related to the 2-sigma interval of normal distribution, so in theory allows for easy estimation of bigger confidence intervals (like 3, 4, 5-sigma), it assumes a normal distribution, which the differences don't follow, and may be

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