minipack | simplified example of a modern module bundler | Build Tool library

 by   ronami JavaScript Version: Current License: MIT

kandi X-RAY | minipack Summary

kandi X-RAY | minipack Summary

minipack is a JavaScript library typically used in Utilities, Build Tool, Webpack applications. minipack has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

As front-end developers, we spend a lot of time working with tools like Webpack, Browserify, and Parcel. Understanding how those tools work can help us make better decisions on how we write our code. By understanding how our code turns into a bundle and how that bundle looks like we can also debug it better. The purpose of this project is to explain how most bundlers work under the hood. It contains a short implementation of a simplified but still reasonably accurate bundler. Along with the code, there are comments explaining what the code is trying to achieve.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              minipack has a medium active ecosystem.
              It has 3002 star(s) with 299 fork(s). There are 42 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 2 have been closed. On average issues are closed in 5 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of minipack is current.

            kandi-Quality Quality

              minipack has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              minipack 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

              minipack releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of minipack
            Get all kandi verified functions for this library.

            minipack Key Features

            No Key Features are available at this moment for minipack.

            minipack Examples and Code Snippets

            No Code Snippets are available at this moment for minipack.

            Community Discussions

            QUESTION

            How to calculate "relative error in the sum of squares" and "relative error in the approximate solution" from least squares method?
            Asked 2021-Mar-10 at 11:30

            I have implemented a 3D gaussian fit using scipy.optimize.leastsq and now I would like to tweak the arguments ftol and xtol to optimize the performances. However, I don't understand the "units" of these two parameters in order to make a proper choice. Is it possible to calculate these two parameters from the results? That would give me an understanding of how to choose them. My data is numpy arrays of np.uint8. I tried to read the FORTRAN source code of MINIPACK but my FORTRAN knowledge is zero. I also read checked the Levenberg-Marquardt algorithm, but I could not really get a number that was below the ftol for example.

            Here is a minimal example of what I do:

            ...

            ANSWER

            Answered 2021-Mar-10 at 11:30

            Since you are giving a function without the gradient, the method called is lmdif. Instead of gradients it will use forward difference gradient estimate, f(x + delta) - f(x) ~ delta * df(x)/dx (I will write as if the parameter).

            There you find the following description

            Source https://stackoverflow.com/questions/66494932

            QUESTION

            pyspark join with 2 lookup tables
            Asked 2020-Nov-12 at 06:30

            I have one sales data and product details in two lookup table

            df_prod_lookup1

            ...

            ANSWER

            Answered 2020-Nov-12 at 06:30

            Left join first with lookup table 1, and then with lookup table 2.
            The coalesce function allows you to merge the description fields.

            Source https://stackoverflow.com/questions/64797276

            QUESTION

            How to query in string fields in Solr
            Asked 2019-Mar-13 at 14:32

            I've this problem. My query is like this

            ...

            ANSWER

            Answered 2019-Mar-13 at 14:32

            What's wrong at here?

            That depends on you field-content. Keep in mind, that fields with type = string are not tokenized!

            See the solr docs: https://lucene.apache.org/solr/guide/7_3/field-types-included-with-solr.html (Class StrField)

            String (UTF-8 encoded string or Unicode). Strings are intended for small fields and are not tokenized or analyzed in any way. They have a hard limit of slightly less than 32K.

            So your query will match an field, only if the field content matches exactly the query content.

            For example field content ABC DE will not match an query like ABC DE (one space is missing between the letters at the query)

            I recommend using the solr analysis feature from the solr admin page to see, how solr processes your query. You will find this feature at an url like this: http://:8983/solr/#//analysis

            Source https://stackoverflow.com/questions/55144118

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

            Vulnerabilities

            No vulnerabilities reported

            Install minipack

            You can download it from GitHub.

            Support

            AST ExplorerBabel REPLBabylonBabel Plugin HandbookWebpack: Modules
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/ronami/minipack.git

          • CLI

            gh repo clone ronami/minipack

          • sshUrl

            git@github.com:ronami/minipack.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link