Libraries tagged by case sensitive

# 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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Filename validator for PSR-4 autoloader case-sensitivity issues.

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Case sensitive classname checker for Laravel apps

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It is a object to mange a value using a key, but identify each value using uncase-sensitive key. This allow get values using case un-sensitive methods and compare both list, using a strict mode for a exactly comparation of the keys and values, an compare mode only verify the current keys and values aexist in the second luist and the low mode only verify the keys exists in the second list.

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Cast any PHP value to a sensible, human readable string. Great for type-safe outputs, exception messages, transparency during debugging, and similar things. Also helps avoiding innate problems such as printing endless, circular referencing objects (endless recursion), limits the output for large arrays and long strings, and prevents (opt-in) the outputting of sensitive strings like passwords.

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Search Nested json column inside database with no case sensitivity

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Laravel case sensive Schema column type

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Allows group owners to add context-sensitive text notices to sidebar, base or top of group pages.

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## Introduction This comprehensive guide will equip you with the knowledge to integrate and leverage our Product Configurator Service in your applications. ## Quick Start Get up and running in no time! Follow these steps to kickstart your integration: 1. **Authentication:** Obtain your integration JWT to authenticate your requests. 2. **Client Libraries:** Explore our GitHub repositories to grab client libraries in your preferred programming language. 3. **API Overview:** Familiarize yourself with our RESTful API using the OpenAPI specification. ## Integration ### API Overview Our RESTful API is the gateway to unlocking the full potential of Product Configurator. Check out the detailed [API Reference](/docs/category/configurator) for a granular understanding of each endpoint and request/response format. ### Client Libraries To expedite your integration process, we provide client libraries for various programming languages. Find the one that suits your stack in our [GitHub repositories](https://github.com/Gemini-Commerce). ### Authentication Security is paramount. Learn how to authenticate your requests using JWT. This ensures a secure and reliable connection between your application and Product Configurator. ## Configuration Management ### Configurator Lifecycle Understand the lifecycle of configurators, from draft to active and deleted. This flexibility allows you to manage configurations at your own pace. ### Steps and Options Configure product steps with ease and define options effortlessly. Explore the power of dependencies to create dynamic and intuitive configurations. ### Matrices Delve into matrices—your secret weapon. Explore price and weight matrices, and learn how configured steps influence properties and pricing. ### Price Management Unleash dynamic pricing with our versatile price matrices. From fixed prices to incremental structures, adapt to diverse pricing models effortlessly. ## Security Your data is in safe hands. Discover how Product Configurator ensures security through JWT authentication, safeguarding your sensitive information. ## Backward Compatibility Stay ahead of the curve. Learn about our versioning strategy, providing backward compatibility while allowing our service to evolve seamlessly. ## Developer Support Have questions? Need assistance? Write to us at [[email protected]](mailto:[email protected]) and we will get back to you.

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Eloquent case-insensitive relations

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Class to store and access data in a case-insensitive fashion, while maintaining the integrity and functionality of a regular array.

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Make URLs case insensitive in Neos

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Coleção de Interfaces para bibliotecas e projetos.

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Irfan's Container: An abstraction for many types of containers with a single API.

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A search tool to search a list of needles into a spread text.

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