Numeral-js | javascript library for formatting and manipulating numbers | Code Quality library

 by   adamwdraper JavaScript Version: 2.0.6 License: MIT

kandi X-RAY | Numeral-js Summary

kandi X-RAY | Numeral-js Summary

Numeral-js is a JavaScript library typically used in Code Quality applications. Numeral-js has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i numeral-es.js' or download it from GitHub, npm.

A javascript library for formatting and manipulating numbers.

            kandi-support Support

              Numeral-js has a medium active ecosystem.
              It has 9444 star(s) with 962 fork(s). There are 155 watchers for this library.
              It had no major release in the last 12 months.
              There are 188 open issues and 187 have been closed. On average issues are closed in 261 days. There are 160 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Numeral-js is 2.0.6

            kandi-Quality Quality

              Numeral-js has 0 bugs and 0 code smells.

            kandi-Security Security

              Numeral-js has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Numeral-js code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Numeral-js is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Numeral-js releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions are available. Examples and code snippets are not available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Numeral-js and discovered the below as its top functions. This is intended to give you an instant insight into Numeral-js implemented functionality, and help decide if they suit your requirements.
            • Represents a number
            • recalgorithm
            • Distance between two angles
            • Constructs a and b
            • Computes a c .
            Get all kandi verified functions for this library.

            Numeral-js Key Features

            No Key Features are available at this moment for Numeral-js.

            Numeral-js Examples and Code Snippets

            No Code Snippets are available at this moment for Numeral-js.

            Community Discussions


            Declare a function without a name in JavaScript
            Asked 2019-Jun-05 at 13:00

            I am new to JavaScript (coming from Java) and want to understand this function



            Answered 2019-Jun-05 at 13:00

            Yes. They are called anonymous functions in Javascript.

            Usually these functions are supplied as callbacks to another function.

            Or they could be immediately invoked as Jack said in his answer.



            How to implement parseFloat
            Asked 2018-Jul-27 at 12:50

            Wondering how a low-level implementation of parseFloat such as how it works in JavaScript would be implemented.

            All the examples I've seen of typecasting resort to using it at some point, such as this, this, or this. On the other hand, there is this file which is quite large (from here).

            Wondering if it is just a very complicated function or there is a straightforward implementation. Wondering just generally how it works if it is too complicated.

            Perhaps this is closer to it.



            Answered 2018-Jul-27 at 12:50

            The essential mathematics of parseFloat is very simple, requiring no more than elementary-school arithmetic. If we have a decimal numeral, we can easily convert it to binary by:

            • Divide the integer part by two. The remainder (zero or one) becomes a bit in a binary numeral we are building. The quotient replaces the integer part, and we repeat until the integer part is zero. For example, starting with 13, we divide to get a quotient of 6 and a remainder of 1. Then we divide 6 to get a quotient of 3 and a remainder of 0. Then 1 and 1, then 0 and 1, and we are done. The bits we produced, in reverse order, were 1101, and that is the binary numeral for 13.
            • Multiply the sub-integer part by two. The integer part becomes another bit in the binary numeral. Repeat with the sub-integer part until it is zero or we have enough bits to determine the result. For example, with .1875, we multiply by two to get .375, which has an integer part of 0. Doubling again produces .75, which again has an integer part of 0. Next we get 1.5, which has an integer part of 1. Now when the sub-integer part, .5, is doubled, we get 1 with a sub-integer part of 0. The new bits are .0011.

            To determine a floating-point number, we need as many bits as fit in the significand (starting with the leading 1 bit from the binary numeral), and, for rounding purposes, we need to know the next bit and whether any bits after that are non-zero. (The information about the extra bits tells us whether the difference between the source value and the bits that fit in the significand is zero, not zero but less than 1/2 of the lowest bit that fits, exactly 1/2 of the lowest bit, or more than 1/2 of the lowest bit. This information is enough to decide whether to round up or down in any of the usual rounding modes.)

            The information above tells you when to stop multiplying in the second part of the algorithm. As soon as you have all the significand bits, plus one more, plus you have either one non-zero bit or the sub-integer part is zero, you have all the information you need and can stop.

            Then you construct a floating-point value by rounding the bits according to whatever rounding rule you are using (often round-to-nearest-ties-to-even), putting the bits into the significand of a floating-point object, and setting the exponent to record the position of the leading bit of the binary numeral.

            There are some embellishments for checking for overflow or underflow or handling subnormal values. However, the basic arithmetic is simply elementary-school arithmetic.

            Problems arise because the above uses arbitrary-size arrays and because it does not support scientific notation where an “e” is used to introduce a decimal exponent, as in “2.79e34”. The above algorithm requires that we maintain all the space needed to multiply and divide decimal numerals of any length given to us. Usually, we do not want to do that, and we also want faster algorithms. Note that supporting scientific notation with the above algorithm would also require arbitrary-size arrays. To fill out the decimal numeral for “2.79e34”, we have to fill an array with “27900000000000000000000000000000000”.

            So algorithms are developed to do the conversion in smarter ways. Instead of doing exact calculations, we may do precise calculations but carefully analyze the errors produced to ensure they are too small to prevent us from getting the right answer. Also, data may be prepared in advance, such as tables with information about powers of ten, so that we have approximate values of powers of ten already in binary without having to compute them each time a conversion is performed.

            The complications of converting decimal to binary floating-point arise out of this desire for algorithms that are fast and use limited resources. Allowing some errors causes a need for mathematical proofs to ensure the computations are correct, and trying to make the routines fast and resource-efficient lead people to think of clever techniques to use, which become tricky and require proof.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Numeral-js

            You can install using 'npm i numeral-es.js' or download it from GitHub, npm.


            Run npm install to install dependencies. Create a new branch from develop. Add your tests to the files in /tests. To test your tests, run grunt. When all your tests are passing, run grunt dist to compile and minify all files. Submit a pull request to the develop branch.
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