yav | Yet Another Validator for a specific hardcoded set of rules

 by   ayharano Python Version: Current License: MIT

kandi X-RAY | yav Summary

kandi X-RAY | yav Summary

yav is a Python library. yav 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.

Yet Another Validator for a specific hardcoded set of rules
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      Security
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            kandi-support Support

              yav has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              yav has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of yav is current.

            kandi-Quality Quality

              yav has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              yav 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

              yav 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.
              Installation instructions, examples and code snippets are available.
              It has 296 lines of code, 11 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed yav and discovered the below as its top functions. This is intended to give you an instant insight into yav implemented functionality, and help decide if they suit your requirements.
            • Validate the input value .
            • Command line tool .
            Get all kandi verified functions for this library.

            yav Key Features

            No Key Features are available at this moment for yav.

            yav Examples and Code Snippets

            No Code Snippets are available at this moment for yav.

            Community Discussions

            QUESTION

            GraalVM Quarkus Locale in native mode
            Asked 2020-May-13 at 07:27

            I have an unexpected behavior with available locales when native build. I have only one locale available in native mode.

            My application is very simple :

            ...

            ANSWER

            Answered 2020-May-04 at 14:31

            This is a very well-known issue on GraalVM. Currently, the only way to bypass it is to create Feature that will scan all locales at run time:

            1. Add maven dependency

            Source https://stackoverflow.com/questions/61567216

            QUESTION

            Extract specific struct field of a decoded column in Spark Dataframe
            Asked 2020-May-12 at 19:55

            I have a decoded column in a spark dataframe that contains JSON data. For example,

            row 1: {'id': 1, 'name': 'Slatan', 'surname': 'Yav', 'age': 24}
            row 2: {'id': 2, 'name': 'Nikos', 'surname': 'Stef', 'age': 34}
            row 3: {'id': 3, 'name': 'Panos', 'surname': 'Rodes', 'age': 44}

            And I want to extract only the "name", "surname", "age" and add them to a Spark data frame.

            My approach

            ...

            ANSWER

            Answered 2020-May-12 at 19:43

            You had the right approach in trying to use from_json, however, your json was not formatted correctly for spark, as you have a MapType with different data type for values(string and integer), therefore, just wrap your integer with quotes using regexp_replace, then use from_json to select your desired columns as shown below.

            Source https://stackoverflow.com/questions/61758875

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

            Vulnerabilities

            No vulnerabilities reported

            Install yav

            After cloning this repo, yav can be installed in the root directory by running pip install -e . yav. It requires Python 3.5.0+.

            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/ayharano/yav.git

          • CLI

            gh repo clone ayharano/yav

          • sshUrl

            git@github.com:ayharano/yav.git

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