chalks | Colors piece of code word-by-word | Frontend Framework library

 by   akalenuk Python Version: Current License: Unlicense

kandi X-RAY | chalks Summary

kandi X-RAY | chalks Summary

chalks is a Python library typically used in User Interface, Frontend Framework, React applications. chalks has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Script showing code in a browser colored for the ease of making code review. It doesn’t do syntax highlighting, instead it highlight each word differently. This helps in seing patterns and spotting bugs in them.
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            kandi-support Support

              chalks has a low active ecosystem.
              It has 40 star(s) with 3 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 2447 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of chalks is current.

            kandi-Quality Quality

              chalks has 0 bugs and 2 code smells.

            kandi-Security Security

              chalks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              chalks code analysis shows 0 unresolved vulnerabilities.
              There are 1 security hotspots that need review.

            kandi-License License

              chalks is licensed under the Unlicense License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              chalks releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              chalks saves you 56 person hours of effort in developing the same functionality from scratch.
              It has 147 lines of code, 6 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed chalks and discovered the below as its top functions. This is intended to give you an instant insight into chalks implemented functionality, and help decide if they suit your requirements.
            • Match pattern .
            • Prettyify a number .
            Get all kandi verified functions for this library.

            chalks Key Features

            No Key Features are available at this moment for chalks.

            chalks Examples and Code Snippets

            No Code Snippets are available at this moment for chalks.

            Community Discussions

            QUESTION

            SQL - Deleting multiple entries
            Asked 2018-Dec-24 at 01:09

            I've been trying to teach myself some basic SQL to implement into an application I'm creating using database management.

            Quickly after implementation, I realised that I wasn't sure how to deal with duplicate entries. Looking online it seems that I need to assign a 'Unique' constraint to each piece of data that is likely to be duplicated, but I wanted to know if I could approach this in a different way.

            In conclusion, I've come up with a different idea in which to approach this issue, I'm not sure how to write this in SQL or even if it's a feasible idea.

            I'd like some outside input to either help me accomplish this or to disprove my idea.

            Using the dart language I can seek all duplicate entries, and how many duplicates are present. This is what I'm using to get this result:

            ...

            ANSWER

            Answered 2018-Dec-24 at 01:09

            You could delete all bar 1 entry an a per url basis - assuming that the url column should be unique - if a combination of more than just the url column or another column simply change the first two WHERE clauses. - the assumption is also made that the table is not a WITHOUT ROWID table.

            :-

            Source https://stackoverflow.com/questions/53906898

            QUESTION

            Literate way to index a list where each element has an interpretation?
            Asked 2017-Dec-29 at 21:18

            Tl;dr is bold-faced text.

            I'm working with an image dataset that comes with boolean "one-hot" image annotations (Celeba to be specific). The annotations encode facial features like bald, male, young. Now I want to make a custom one-hot list (to test my GAN model). I want to provide a literate interface. I.e., rather than specifying features[12]=True knowing that 12 - counting from zero - corresponds to the male feature, I want something like features[male]=True or features.male=True.

            Suppose the header of my .txt file is

            ...

            ANSWER

            Answered 2017-Dec-28 at 01:40

            Of your examples, 3 is the most pythonic answer to your question.

            1, as you said, does not even answer your question, since the names are not explicit.

            2 uses enums, which though being in the standard library are not pythonic and generally not used in these scenarios in Python. (Edit): In this case you only really need two different constants - the target values and the other ones. An Enum will provide separate values for each constant, which is not what the goal of your program is and seems to be a roundabout way of approaching the problem.

            4 is just not maintainable if a client wants to add options, and even as it is it's painstaking work.

            3 uses well-known classes from the standard library in a readable and succinct way. Also, it does not have any drawbacks, as it is perfectly explicit. Being too "heavy" doesn't matter if you don't care about performance, and anyway the lag will be unnoticeable with your input size.

            Source https://stackoverflow.com/questions/47999145

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

            Vulnerabilities

            No vulnerabilities reported

            Install chalks

            You can download it from GitHub.
            You can use chalks like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/akalenuk/chalks.git

          • CLI

            gh repo clone akalenuk/chalks

          • sshUrl

            git@github.com:akalenuk/chalks.git

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