ERROR in ./node_modules/angular2-permission/index.ts Module build failed: Error: C:\Front\node_modules\angular2-permission\index.ts is missing from the TypeScript compilation. Please make sure it is in your tsconfig via the 'files' or 'include' property. The missing file seems to be part of a third party library. TS files in published libraries are often a sign of a badly packaged library. Please open an issue in the library repository to alert its author and ask them to package the library using the Angular Package Format (https://goo.gl/jB3GVv). at AngularCompilerPlugin.getCompiledFile (C:\Front\node_modules\@ngtools\webpack\src\angular_compiler_plugin.js:674:23) at plugin.done.then (C:\Front\node_modules\@ngtools\webpack\src\loader.js:467:39) at process._tickCallback (internal/process/next_tick.js:68:7)
یک ترمینال ساده برای گیت
A simple terminal UI for git commands, written in Go with the gocui library.
Are YOU tired of typing every git command directly into the terminal, but you're too stubborn to use Sourcetree because you'll never forgive Atlassian for making Jira? This is the app for you!
مثالی از کاربرد واژهی dynamic جهت جایگزین کردن آن با DTOs
هزینه استثناء
ReScript زبان پس از TypeScript؟
In the confusing jungle of transpiler languages for JavaScript, there are some gems. TypeScript is mainstream, ReScript is starting to establish itself, and Elm is still an insider tip. This article takes a detailed look at ReScript – but also sheds light on the limitations of the young language. In what projects does its use make sense? What projects should rather use TypeScript on the one hand or Elm on the other?
ChatGPT مزخرفه!
ChatGPT is bullshit
Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems.