Libraries tagged by hive

Adds the typical htaccess auth dialog before each request. This module is made as angular does have problems with basic htaccess authentifications in the administration area.

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This bundle provides an easy way to see which images do not have an alt text and allows you to add them easily.

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User interface for lavary/crunz. Integrate Crunz library and funtions: Tabular, monthly or weekly interface to view the scheduled and executed tasks. Quick display of the execution result of the tasks that have been executed (Indicator icons easily show the result). Upload, download, edit or delete tasks. Forced run of the task, even outside the scheduled time with eventual display of the log once the execution is completed. It can be used with integrated Crunz or with a version of Crunz already installed on the system

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This extension provides a fully automated workflow and a graphical user interface for the well known Localization Manager (l10nmgr). While the L10nmgr still handles exports and imports of records and files, the Localizer will take care of all the necessary steps in between. Editors responsible for translations won't have to deal with any L10nmgr configurations anymore and as an administrator you create just one configuration per Localizer Project.

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Strong link obfuscation with PHP and JavaScript. Object-oriented, using the Rot47 algorithm. Hides https, email, phone and sms links from being crawled by spambots.

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Creates a navbar pattern for Saplings that allows the parent to be a link and then have a dropdown indicator to access child menu items.

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Renews Doctrine DBAL connections that have been closed or timed out.

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Package for rapidly developing models that represent mysql tables. Tables must have an id field.

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Package for rapidly developing models that represent mysql tables. Tables must have an id field.

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Add copyright lines to your TYPO3 project. With the "today"-Feature the plugin keeps track of the current date in the copyright line, so you won't have to update the date at New Year.

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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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Run PHPUnit tests on only classes and tests which have changed

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Laravel package a hivatalos magyar munkaszüneti napok lekéréséhez

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Autopopulate submenus based on taxonomy, post type, or post hierarchy.

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With this Plugin, you have now an option to load more entries (using ajax). You can refine the content that you want to load by using Filters based on Fields and custom entry query.

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