nose VS hypothesis

nose

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Tracking mentions began in Dec 2020.

hypothesis

• Hypothesis
  1 project | news.ycombinator.com | 1 Feb 2024
• A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
  31 projects | dev.to | 12 Nov 2023

  Hypothesis for Property-Based Testing: Hypothesis is a Python library facilitating property-based testing. It offers a distinct advantage by generating a wide array of input data based on specified properties or invariants within the code. The perks of Hypothesis include:

• Pix2tex: Using a ViT to convert images of equations into LaTeX code
  5 projects | news.ycombinator.com | 3 Nov 2023

  But then add tests! Tests for LaTeX equations that had never been executable as code.

  https://github.com/HypothesisWorks/hypothesis :

  > Hypothesis is a family of testing libraries which let you write tests parametrized by a source of examples. A Hypothesis implementation then generates simple and comprehensible examples that make your tests fail. This simplifies writing your tests and makes them more powerful at the same time, by letting software automate the boring bits and do them to a higher standard than a human would, freeing you to focus on the higher level test logic.

  > This sort of testing is often called "property-based testing", and the most widely known implementation of the concept is the Haskell library QuickCheck, but Hypothesis differs significantly from QuickCheck and is designed to fit idiomatically and easily into existing styles of testing that you are used to, with absolutely no familiarity with Haskell or functional programming needed.

• pgregory.net/rapid v1.0.0, modern Go property-based testing library
  1 project | /r/golang | 12 Jun 2023

  pgregory.net/rapid is a modern Go property-based testing library initially inspired by the power and convenience of Python's Hypothesis.

• Was muss man als nicht-technischer Quereinsteiger in Data Science *wirklich* können?
  1 project | /r/de_EDV | 13 Sep 2022
• Python toolkits
  38 projects | /r/Python | 15 Jul 2022

  Hypothesis to generate dummy data for test.

• Best way to test GraphQL API using Python?
  4 projects | /r/graphql | 28 Jun 2022

  To create your own test cases, I recommend you use hypothesis-graphql in combination with hypothesis. hypothesis is a property-based testing library. Property-based testing is an approach to testing in which you make assertions about the result of a test given certain conditions and parameters. For example, if you have a mutation that requires a boolean parameter, you can assert that the client will receive an error if it sends a different type. hypothesis-graphql is a GraphQL testing library that knows how to use hypothesis strategies to generate query documents.

• Fuzzcheck (a structure-aware Rust fuzzer)
  4 projects | /r/rust | 26 Feb 2022

  The Hypothesis stateful testing code is somewhat self-contained, since it mostly builds on top of internal APIs that already existed.

• Running C unit tests with pytest
  6 projects | news.ycombinator.com | 12 Feb 2022

  We've had a lot of success combining that approach with property-based testing (https://github.com/HypothesisWorks/hypothesis) for the query engine at backtrace: https://engineering.backtrace.io/2020-03-11-how-hard-is-it-t... .

• Machine Readable Specifications at Scale
  4 projects | news.ycombinator.com | 26 Jan 2022

  Systems I've used for this include https://agda.readthedocs.io/en/v2.6.0.1/getting-started/what... https://coq.inria.fr https://www.idris-lang.org and https://isabelle.in.tum.de

  An easier alternative is to try disproving the statement, by executing it on thousands of examples and seeing if any fail. That gives us less confidence than a full proof, but can still be better than traditional "there exists" tests. This is called property checking or property-based testing. Systems I've used for this include https://hypothesis.works https://hackage.haskell.org/package/QuickCheck https://scalacheck.org and https://jsverify.github.io