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ldbc_snb_datagen_deprecated2015 | LDBC-SNB Data Generator | Generator Utils library

 by   ldbc-dev Java Version: v0.1.3 License: GPL-3.0

 by   ldbc-dev Java Version: v0.1.3 License: GPL-3.0

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kandi X-RAY | ldbc_snb_datagen_deprecated2015 Summary

ldbc_snb_datagen_deprecated2015 is a Java library typically used in Generator, Generator Utils applications. ldbc_snb_datagen_deprecated2015 has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
LDBC-SNB Data Generator
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kandi-support Support

  • ldbc_snb_datagen_deprecated2015 has a low active ecosystem.
  • It has 12 star(s) with 5 fork(s). There are 21 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 8 open issues and 15 have been closed. On average issues are closed in 18 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of ldbc_snb_datagen_deprecated2015 is v0.1.3
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quality kandi Quality

  • ldbc_snb_datagen_deprecated2015 has 0 bugs and 0 code smells.
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securitySecurity

  • ldbc_snb_datagen_deprecated2015 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • ldbc_snb_datagen_deprecated2015 code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
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license License

  • ldbc_snb_datagen_deprecated2015 is licensed under the GPL-3.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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buildReuse

  • ldbc_snb_datagen_deprecated2015 releases are available to install and integrate.
  • Build file is available. You can build the component from source.
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Top functions reviewed by kandi - BETA

kandi has reviewed ldbc_snb_datagen_deprecated2015 and discovered the below as its top functions. This is intended to give you an instant insight into ldbc_snb_datagen_deprecated2015 implemented functionality, and help decide if they suit your requirements.

  • Initialization .
    • Create a comment
      • Load the CSV file .
        • Generate photo information .
          • Generates a vector of posts .
            • Runs a sort algorithm .
              • Generates a random text .
                • Extracts the given names from the given directory .
                  • Extract the popular places from the DIC file
                    • formats a date as a string .

                      Get all kandi verified functions for this library.

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                      ldbc_snb_datagen_deprecated2015 Key Features

                      LDBC-SNB Data Generator

                      ldbc_snb_datagen_deprecated2015 Examples and Code Snippets

                      No Code Snippets are available at this moment for ldbc_snb_datagen_deprecated2015.

                      See all Code Snippets related to Generator Utils

                      Community Discussions

                      Trending Discussions on Generator
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                      • Mixing yield and return. `yield [cand]; return` vs `return [[cand]]`. Why do they lead to different output?
                      • Python Ruler Sequence Generator
                      • Are generators with context managers an anti-pattern?
                      • Python: Generate a unique batch from given dataset
                      • 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 ldbc_snb_datagen_deprecated2015

                      You can download it from GitHub.
                      You can use ldbc_snb_datagen_deprecated2015 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 ldbc_snb_datagen_deprecated2015 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

                      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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