httpmock
rust
httpmock | rust | |
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7 | 9 | |
426 | 4,997 | |
- | 0.9% | |
8.3 | 5.2 | |
25 days ago | 5 months ago | |
Rust | Rust | |
MIT License | Apache License 2.0 |
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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.
httpmock
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Mocking HTTP Services in Rust
Static YAML file configuration: This mode allows you to set up a mock server with a static configuration that does not need to change. This approach does not require any test execution or Rust program. Instead, the mock server reads its configuration from YAML mock definition files, which are very similar in structure to the Rust API (see example here).
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Rust HTTP Testing with httpmock
HTTP mocking libraries allow you to simulate HTTP responses so you can easier test code that depends on third-party APIs. This article shows how you can use httpmock to do this in Rust.
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httpmock - A Rust library and tool for mocking and prototyping HTTP endpoints.
Thad you mean with "async runtime conflicts"? My tests are running agains three different async rutimes (tokio, async_std and actix_rt), seemingly without any problems. I checked that manually and I also see no problems (all green, not conflicts). If you think I am mistaken, please consider reporting it here.
- httpmock - An HTTP mocking library and prototyping tool.
rust
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Have you ever wanted a library to check for 69 in a string?
You can use Tensorflow for Rust to simplify that task and avoid pain with regex. Just have the right mindset.
- Rust vs cpp for a new engineer to autonomous vehicles and robotics
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Making a better Tensorflow thanks to strong typing
What is the benefit of this compared to using bindings/a wrapper to Tensorflow, or other ML libraries written in C/C++, such as this community hosted project on tensorflow's github. If it's just for fun that is a valid enough reason imo, just curious since you describe it as a better Tensorflow because of the typing vs using the python wrapper, when there already exist ways to interact with tensorflow with both Rust and other statically typed languages, also including C++ (officially supported), C#, Haskell and Scala, as well as probably having bindings not mentioned on the documentation for more niche languages.
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Integrating machine learning models into Rust applications?
(3) You could use TensorFlow as your executor: https://github.com/tensorflow/rust
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Why Static Languages Suffer From Complexity
TensorFlow has language support for TypeScript well as Rust.
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Is PyO3 library production ready?
Thank you for the restponse! With tensorflow I am probably better of with something like; [tensorflow rust bindings](https://github.com/tensorflow/rust/tree/master/src). But I believe some useful extensions are still written in python for example; [TFDV](https://github.com/tensorflow/data-validation).. and how about scikit-learn or even something that is simpler like fb-prophet that is entirely written in python?
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How mature is the QT integration?
Tensorflow bindings exist, technically, but they're in a pretty rough state AFAIK.
- Feasibility of Using a Python Image Super Resolution Library in My Rust App
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Rusticles #10 - Wed Sep 09 2020
tensorflow/rust (Rust): Rust language bindings for TensorFlow
What are some alternatives?
Mockito - HTTP mocking for Rust!
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Weld - Full fake REST API generator written with Rust
leaf - Open Machine Intelligence Framework for Hackers. (GPU/CPU)
testcontainers-rs - A library for integration-testing against docker containers from within Rust.
anyhow - Flexible concrete Error type built on std::error::Error
rust - Empowering everyone to build reliable and efficient software.
Rustup - The Rust toolchain installer
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
rusty-machine - Machine Learning library for Rust
inside-vm - Detect if code is running inside a virtual machine (x86 and x86-64 only).
solana - Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.