Voting helps other researchers find interesting modules.
Provides some debug info for the entity. This data shown to engineers (for debugging) and to raters (so it ultimately impacts eval metrics), but is also used to train ML models (see below). IMPORTANT: Despite the proto naming, this data has production quality impact. The data below is mostly human-readable text that is useful to help engineers with debugging. However the text is also used as input to machine-learned natural language processing models, which are used in production Webref.
description
String.t
nil
language
title
score
float()
url
Unwrap a decoded JSON object into its complex fields.
@type t() :: %GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefEntityDebugInfo{ description: String.t() | nil, language: String.t() | nil, score: float() | nil, title: String.t() | nil, url: String.t() | nil }
@spec decode(struct(), keyword()) :: struct()