Libraries tagged by lower case

Get expected return value from char such as Alphabetic, Alphanumeric, Digit, Upper and Lower Case

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Provides regular expressions for technical values, consisting of: letters (lower case / uper case / case insensitive), underscrores, digits ... No blank, special char or something else.

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It provides auxiliary functions to solve the problem of Turkish characters when converting text to lowercase and uppercase in php.

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A PHP library to convert a string into a clean URL-safe lowercase string.

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Generates a random password using lowercase, uppercase, numbers, and symbols.

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This project provides a simple yet powerful PHP script for generating strong, secure passwords with customizable options. The script allows users to generate passwords with a mix of uppercase letters, lowercase letters, numbers, and special characters.

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Creates a warning if a configuration setting, product data or category data is overwritten on a lower level (website or store view)

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This bundle provides lower level support for functional tests on Symfony2.

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A lightweight PHP library for calculating the Wilson Lower Bound Score and Bayesian Approximation weights for sorting algorithms based on user feedback.

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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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The standalone PHP Browscap parser Crossjoin\Browscap detects browser properties as well as device information based on the user agent string of the requesting browsers and search engines, using the data from the Browser Capabilities Project. It's several hundred times faster than the build-in PHP function get_browser(), and faster than other Browscap PHP libraries, with much lower memory consumption. Optionally Crossjoin\Browscap automatically updates the Browscap data, so you're always up-to-date. The newest version is build for PHP 7.x, for PHP >= 5.6 use version 2.x, for PHP >= 5.3 use version 1.x.

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Framework for building a PowerTarget-based controller. Example use case: advanced solar-surplus Wallbox controller

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Force oxid to use amount price even if base price is lower

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The standalone PHP Browscap parser Crossjoin\Browscap detects browser properties as well as device information based on the user agent string of the requesting browsers and search engines, using the data from the Browser Capabilities Project. It's several hundred times faster than the build-in PHP function get_browser(), and faster than other Browscap PHP libraries, with much lower memory consumption. Optionally Crossjoin\Browscap automatically updates the Browscap data, so you're always up-to-date. The newest version is build for PHP 7.x, for PHP >= 5.6 use version 2.x, for PHP >= 5.3 use version 1.x.

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Rinvex Categories is a polymorphic Laravel package, for category management. You can categorize any eloquent model with ease, and utilize the power of Nested Sets, and the awesomeness of Sluggable, and Translatable models out of the box.

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