test VS CppUTest

Compare test vs CppUTest and see what are their differences.

test

Measuring Massive Multitask Language Understanding | ICLR 2021 (by hendrycks)
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test CppUTest
8 0
870 1,304
- 1.5%
2.5 5.5
10 months ago 4 days ago
Python C++
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

test

Posts with mentions or reviews of test. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.
  • Mixtral 7B MoE beats LLaMA2 70B in MMLU
    2 projects | /r/LocalLLaMA | 10 Dec 2023
    Sources [1] MMLU Benchmark (Multi-task Language Understanding) | Papers With Code https://paperswithcode.com/sota/multi-task-language-understanding-on-mmlu [2] MMLU Dataset | Papers With Code https://paperswithcode.com/dataset/mmlu [3] hendrycks/test: Measuring Massive Multitask Language Understanding | ICLR 2021 - GitHub https://github.com/hendrycks/test [4] lukaemon/mmlu · Datasets at Hugging Face https://huggingface.co/datasets/lukaemon/mmlu [5] [2009.03300] Measuring Massive Multitask Language Understanding - arXiv https://arxiv.org/abs/2009.03300
  • Show HN: Llama-dl – high-speed download of LLaMA, Facebook's 65B GPT model
    7 projects | news.ycombinator.com | 4 Mar 2023
    Because there are many benchmarks that measure different things.

    You need to look at the benchmark that reflects your specific interest.

    So in this case ("I wasn't impressed that 30B didn't seem to know who Captain Picard was") the closest relevant benchmark they performed is MMLU (Massive Multitask Language Understanding"[1].

    In the LLAMA paper they publish a figure of 63.4% for the 5-shot average setting without fine tuning on the 65B model, and 68.9% after fine tuning. This is significantly better that the original GPT-3 (43.9% under the same conditions) but as they note:

    > "[it is] still far from the state-of-the-art, that is 77.4 for GPT code-davinci-002 on MMLU (numbers taken from Iyer et al. (2022))"

    InstructGPT[2] (which OpenAI points at as most relevant ChatGPT publication) doesn't report MMLU performance.

    [1] https://github.com/hendrycks/test

    [2] https://arxiv.org/abs/2203.02155

CppUTest

Posts with mentions or reviews of CppUTest. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning CppUTest yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing test and CppUTest you can also consider the following projects:

Google Test - GoogleTest - Google Testing and Mocking Framework

CppUnit - C++ port of JUnit

Unity Test API - Simple Unit Testing for C

Catch - A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)

Google Mock

fff - A testing micro framework for creating function test doubles

doctest - The fastest feature-rich C++11/14/17/20/23 single-header testing framework

Boost.Test - The reference C++ unit testing framework (TDD, xUnit, C++03/11/14/17)

gdb-frontend - ☕ GDBFrontend is an easy, flexible and extensible gui debugger. Try it on https://debugme.dev

benchmark - A microbenchmark support library

backward-cpp - A beautiful stack trace pretty printer for C++

Nonius - A C++ micro-benchmarking framework