Libraries tagged by help desk

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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# Introduction Welcome to the Passbase Verifications API docs. This documentation will help you understand our models and the Verification API with its endpoints. Based on this you can build your own system (i.e. verification) and hook it up to Passbase. In case of feedback or questions you can reach us under this email address: [[email protected]](mailto:[email protected]). A User submits a video selfie and valid identifying __Resources__ during a __Verification__ guided by the Passbase client-side integration. Once all the necessary __Resources__ are submitted, __Data points__ are extracted, digitized, and authenticated. These Data points then becomes part of the User's __Identity__. The User then consents to share __Resources__ and/or __Data points__ from their Identity with you. This information is passed to you and can be used to make decisions about a User (e.g. activate account). This table below explains our terminology further. | Term | Description | |-----------------------------------------|-------------| | [Identity](#tag/identity_model) | A set of Data points and Resources related to and owned by one single User. This data can be accessed by you through a Verification. | | Data points | Any data about a User extracted from a Resource (E.g. Passport Number, or Age). | | [Resource](#tag/resource_model) | A source document used to generate the Data points for a User (E.g. Passport). | | [User](#tag/user_model) | The owner of an email address associated with an Identity. | | Verification | A transaction through which a User consents to share Data points with you. If the Data points you request are not already available in the User's Identity, the Passbase client will ask the User to submit the necessary Resource required to extract them. | | Re-authentication (login) | A transaction through which a User can certify the ownership of Personal data previously shared through an Authentication. | # Authentication There are two forms of authentication for the API: • API Key • Bearer JWT Token

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All New TYPO3 News Comment Extension helps add comments to your news pages and articles. It comes with a variety of features for managing and customizing comments. It is designed to enhance user experience with a simple interface and is SEO-friendly. *** Live Demo: https://demo.t3planet.com/t3-extensions/seo/news-comments/ *** Premium Version, Documentation & Free Support: https://t3planet.com/typo3-news-comment-extension

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Helps with the use of domain driven design & rich domain model in symfony/doctrine applications.

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This package helps you & your brand with a consistent look across the figuren.theater Multisite network and beyond.

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A dependency-free package to help building a business domain layer

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Helps handle scripts and cookies on your Statamic site

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A class-based abstraction layer for MySQL, designed to help with programmatically writing MySQL queries.

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Mythic is a next-generation starter theme designed to help theme authors write elegant, intelligent, and modern code.

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Prototypes that help implementing atomic-design and a component-architecture in Neos.Fusion

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Skrub can help to clear some disk space.

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Generate product descriptions and similar content with the help of AI.

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CommentDensityAnalyzer is a tool designed to analyze the comment density and quality in source code files in php. It helps maintain and improve the quality of code documentation by evaluating different types of comments and providing insights into their effectiveness and appropriateness.

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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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This is the API documentation for Briqpay. You can find out more about us and our offering at our website [https://briqpay.com](https://briqpay.com) In order to get credentials to the playgrund API Please register at [https://app.briqpay.com](https://app.briqpay.com) # Introduction Briqpay Checkout is an inline checkout solution for your b2b ecommerce. Briqpay Checkout gives you the flexibility of controlling your payment methods and credit rules while optimizing the UX for your customers # SDKs Briqpay offers standard SDKs to PHP and .NET based on these swagger definitions. You can download them respively or use our swagger defintitions to codegen your own versions. #### For .NET `` Install-Package Briqpay `` #### For PHP `` composer require briqpay/php-sdk `` # Standard use-case As a first step of integration you will need to create a checkout session. \n\nIn this session you provide Briqpay with the basic information necessary. In the response from briqpay you will recieve a htmlsnippet that is to be inserted into your frontend. The snippet provided by briqpay will render an iframe where the user will complete the purchase. Once completed, briqpay will redirect the customer to a confirmation page that you have defined.  # JavaScript SDK The first step of integration is to add our JS to your site just before closing the ```` tag. This ensures that our JS library is avaliable to load the checkout. ```` Briqpay offers a few methods avaliable through our Javascript SDK. The library is added by our iframe and is avalable on ``window._briqpay`` If you offer the posibility to update the cart or order amonts on the checkout page, the JS library will help you. If your store charges the customer different costs and fees depening on their shipping location, you can listen to the ``addressupdate``event in order to re-calculate the total cost. ```javascript window._briqpay.subscribe('addressupdate', function (data) { console.log(data) }) ``` If your frontend needs to perform an action whe the signup has completed, listen to the ``signup_finalized`` event. ```javascript window._briqpay.subscribe('signup_finalized', function (status) { // redirect or handle status 'success' / 'failure' }) ``` If you allow customers to change the total cart value, you can utilise the JS library to suspend the iframe while you perform a backen update call towards our services. As described below:  The iframe will auto-resume after 7 seconds if you dont call ``_briqpay.resume()`` before # Test Data In order to verify your integration you will neeed to use test data towards our credit engine. ## Company identication numbers * 1111111111 - To recieve a high credit scoring company ( 100 in rating) * 2222222222 - To test the enviournment with a bad credit scoring company (10 in rating) ## Card details In our playground setup your account is by default setup with a Stripe integration. In order to test out the card form you can use the below card numbers: * 4000002500003155 - To mock 3ds authentication window * 4000000000000069 Charge is declined with an expired_card code. You can use any valid expiry and CVC code # Authentication Briqpay utilizes JWT in order to authenticate calls to our platform. Authentication tokens expire after 48 hours, and at that point you can generate a new token for the given resource using the ``/auth`` endpoint. - Basic Auth - only used on the auth endpoint in order to get the Bearer Token - JWT Bearer Token - All calls towards the API utlizes this method"

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