Libraries tagged by range check

A library that validates New Zealand bank account numbers (BECS numbers) as matching the format, within valid ranges, and contain a valid checksum.

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This package is a little helper to check if a given IP address is in a certain IP range.

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Use PSR-7 messages and a PSR-15 handler/middleware to handle HTTP Range request and trigger valid partial download for streams/files. Hande multiple ranges and check different env requirements.

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Crawl, match, parse IP or IP range, check if IP or range is in another range. Support IPv4, IPv6, IP Interval, Wildcard and CIDR. Check if IP is Cloudflare node IP, Google bot IP. 爬取，正则匹配，解析 IP 和 IP 范围，检测 IP 或范围是否在另一个范围中。支持 IPv4，IPv6，区间、通配符或 CIDR 表示的 IP 范围。检测 IP 是否是 Cloudflare 节点或 Google 漫游器 IP

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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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Utility to check if a HTTP status code is present in a given range.

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MvcCore - Extension - Form - form extension with base classes to create and render web forms with HTML5 controls, to handle and validate submited user data, to manage forms sessions for default values, to manage user input errors and to extend and develop custom fields and field groups.

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JQuery HTML form styling plugin

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Checks if users ip is in a range og ips.

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This package is a little helper to check if a given IP address is in a certain IP range.

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Check whether a binary version satisfies a semver range

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experimental ip address library

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A collection of String, Date and Array manipulations and checks.

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Small lib to check if a IP is in multiple range or not

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WeCommerce is an eCommerce ecosystem designed for everyone to build and scale their business. It offers a wide range of functionalities that allows you to have full control of your store. It is combined with easy product information management and fast response time.

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