Search Results for "module"

A well tested and comprehensive Golang statistics library / package / module with no dependencies.

...We do our best not to break older versions of Go if we don't have to, but due to tooling constraints, we don't always test older versions. If you're interested in using the GraphQL API v4, the recommended library is shurcooL/githubv4. go-github is compatible with modern Go releases in module mode. Resolve and add the package to the current development module, along with its dependencies. Alternatively the same can be achieved if you use import in a package. Construct a new GitHub client, then use the various services on the client to access different parts of the GitHub API. Some API methods have optional parameters that can be passed. ...

Lancet is a comprehensive, efficient, and reusable util function library of go. Inspired by the java apache common package and lodash.js. support 600+ go util functions. includes string, slice, datetime, net, crypto, concurrency, etc. Each module is designed as a package with no coupling between modules. Only depends on two kinds of libraries, go standard library and golang.org/x. Well structured, test for every exported function.

...Return the direct last error that came from the retried function default is false (return wrapped errors with everything) WithTimer provides a way to swap out timer module implementations. This primarily is useful for mocking/testing, where you may not want to explicitly wait for a set duration for retries. DelayTypeFunc is called to return the next delay to wait after the retriable function fails on err after n attempts. FixedDelay is a DelayType that keeps delay the same through all iterations. DelayTypeFunc accepts a new parameter err - this breaking change affects only your custom Delay Functions. ...

...Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. Spago uses a multi-module workspace to ensure that additional dependencies are downloaded only when specific features (e.g. persistent embeddings) are used. A good place to start is by looking at the implementation of built-in neural models, such as the LSTM. ...