Libraries tagged by user meta

Bundle to query the wfd_meta table and use it for ConfigCache expiry. Useful as example code, please see the README file.

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This repository is dedicated to housing an extensive collection of UI end-to-end tests, meticulously crafted using Cypress for Spryker applications. These tests are designed to thoroughly evaluate the user interface, ensuring that all interactions and visual elements function as intended in real-world scenarios. By leveraging Cypress's advanced browser automation capabilities, this suite provides an efficient and effective means of validating the user experience, confirming the seamless operation and aesthetic integrity of Spryker's front-end components. Our commitment to rigorous UI testing helps maintain the high standard of quality and reliability that Spryker users expect.

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The purpose of the Authentication component is to provide support for different means of identification and authentication of users using different providers and protocols.

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The purpose of the Authentication component is to provide support for different means of identification and authentication of users using different providers and protocols.

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This class is meant to be used with your Github hosted WordPress plugins. The purpose of the class is to allow your WordPress plugin to be updated whenever you push out a new version of your plugin; similarly to the experience users know and love with the WordPress.org plugin repository.

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Do validation on fields and args for graphql queries and mutations, and dynamically generate user error types

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EasyAjax are a bunch of Yii methods that minimize the amount of code you need to write to interact with Ajax CRUD, notifies, modals, tabs, pjax-reloads, form validations among others...

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Rinvex Statistics is a lightweight, yet detailed package for tracking and recording user visits across your Laravel application. With only one simple query per request, important data is being stored, and later a cronjob crush numbers to extract meaningful stories from within the haystack.

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YAML-FrontMatter is a simple to use PHP-only FrontMatter type parser Library.

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Powerful and easy to use PHP annotations

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Adds AJAX enabled form field to node form for retrieving remote URL metadata, downloads remote images for local processing. Uses this metadata to auto-populate form fields.

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Easy to use Options and Metabox framework for WordPress

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# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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Track the use of attachments across posts, meta and options

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Front-end for VA.gov. This repository contains the code that generates the www.va.gov website. It contains a Metalsmith static site builder that uses a Drupal CMS for content. This file is here to publish releases to https://packagist.org/packages/va-gov/web, so that the CMS CI system can install it and update it using standard composer processes, and so that we can run tests across both systems. See https://github.com/department-of-veterans-affairs/va.gov-cms for the CMS repo, and stand by for more documentation.

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