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zxcvbn4j | java port of zxcvbn , which is a JavaScript password | Generator Utils library

 by   nulab Java Version: 1.7.0 License: MIT

 by   nulab Java Version: 1.7.0 License: MIT

kandi X-RAY | zxcvbn4j Summary

zxcvbn4j is a Java library typically used in Generator, Generator Utils, Angular applications. zxcvbn4j 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, Maven.
This is a java port of zxcvbn, which is a password strength estimator inspired by password crackers written on JavaScript. Through pattern matching and conservative estimation, it recognizes and weighs 30k common passwords, common names and surnames according to US census data, popular English words from Wikipedia and US television and movies, and other common patterns like dates, repeats (aaa), sequences (abcd), keyboard patterns (qwertyuiop), and l33t speak.
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kandi-support Support

  • zxcvbn4j has a low active ecosystem.
  • It has 231 star(s) with 86 fork(s). There are 35 watchers for this library.
  • There were 2 major release(s) in the last 12 months.
  • There are 13 open issues and 44 have been closed. On average issues are closed in 314 days. There are 3 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of zxcvbn4j is 1.7.0
zxcvbn4j Support
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zxcvbn4j Support
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quality kandi Quality

  • zxcvbn4j has no bugs reported.
zxcvbn4j Quality
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zxcvbn4j Quality
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securitySecurity

  • zxcvbn4j has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
zxcvbn4j Security
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zxcvbn4j Security
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license License

  • zxcvbn4j is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
zxcvbn4j License
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zxcvbn4j License
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buildReuse

  • zxcvbn4j releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
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zxcvbn4j Reuse
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Top functions reviewed by kandi - BETA

kandi has reviewed zxcvbn4j and discovered the below as its top functions. This is intended to give you an instant insight into zxcvbn4j implemented functionality, and help decide if they suit your requirements.

  • Parses a string into an integer .
    • Helper function to find the longest match .
      • Returns a Feedback object for the given match .
        • Maps integer values to Dummy numbers .
          • Compute the most probable match sequence .
            • Try to get a resource as a stream .
              • Executes the given password .
                • Helper method for sub - sequences .
                  • Updates the password based on the given password .
                    • Computes the number of variations for a match .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      zxcvbn4j Key Features

                      It includes JIS keyboard layout in spatial matching.

                      Localization feedback messages.

                      Password args accept CharSequence as well as String. This gives a lot more flexibility in what format the password can be in. Also attempts to avoid using Strings for any sensitive intermediate objects.

                      zxcvbn4j Examples and Code Snippets

                      Community Discussions

                      Trending Discussions on Generator
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                      • Can I get the current value of generator in JavaScript?
                      • Continue to other generators once a generator has been exhausted in a list of generators?
                      Trending Discussions on Generator

                      QUESTION

                      How can I make an object with an interface like a random number generator, but that actually generates a specified sequence?

                      Asked 2022-Mar-31 at 13:47

                      I'd like to construct an object that works like a random number generator, but generates numbers in a specified sequence.

                      # a random number generator
                      rng = lambda : np.random.randint(2,20)//2
                      
                      # a non-random number generator
                      def nrng():
                          numbers = np.arange(1,10.5,0.5)
                          for i in range(len(numbers)):
                              yield numbers[i]
                      
                      for j in range(10):
                          print('random number', rng())
                          print('non-random number', nrng())
                      

                      The issue with the code above that I cannot call nrng in the last line because it is a generator. I know that the most straightforward way to rewrite the code above is to simply loop over the non-random numbers instead of defining the generator. I would prefer getting the example above to work because I am working with a large chunk of code that include a function that accepts a random number generator as an argument, and I would like to add the functionality to pass non-random number sequences without rewriting the entire code.

                      EDIT: I see some confusion in the comments. I am aware that python's random number generators generate pseudo-random numbers. This post is about replacing a pseudo-random-number generator by a number generator that generates numbers from a non-random, user-specified sequence (e.g., a generator that generates the number sequence 1,1,2,2,1,0,1 if I want it to).

                      ANSWER

                      Answered 2022-Mar-29 at 00:47

                      You can call next() with a generator or iterator as an argument to withdraw exactly one element from it. Saving the generator to a variable beforehand allows you to do this multiple times.

                      # make it a generator
                      def _rng():
                          while True:
                              yield np.random.randint(2,20)//2
                      
                      # a non-random number generator
                      def _nrng():
                          numbers = np.arange(1,10.5,0.5)
                          for i in range(len(numbers)):
                              yield numbers[i]
                      
                      rng = _rng()
                      nrng = _nrng()
                      for j in range(10):
                          print('random number', next(rng))
                          print('non-random number', next(nrng))
                      

                      Source https://stackoverflow.com/questions/71655179

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install zxcvbn4j

                      You can download it from GitHub, Maven.
                      You can use zxcvbn4j like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the zxcvbn4j component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      Support

                      The zxcvbn4j can be localized localize the english feedback message to other languages. Defined Key and the message in the properties file. Reference the messages.properties.

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                      Clone
                      • https://github.com/nulab/zxcvbn4j.git

                      • gh repo clone nulab/zxcvbn4j

                      • git@github.com:nulab/zxcvbn4j.git

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