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tchamba | Tchamba.random , is a real random data genarator | Generator Utils library

 by   Fcmam5 Python Version: 0.2 License: MIT

 by   Fcmam5 Python Version: 0.2 License: MIT

kandi X-RAY | tchamba Summary

tchamba is a Python library typically used in Generator, Generator Utils applications. tchamba has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install tchamba' or download it from GitHub, PyPI.
Tchamba.random, is a real random data genarator (letters, jokes, names...).
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kandi-support Support

  • tchamba has a low active ecosystem.
  • It has 11 star(s) with 5 fork(s). There are 4 watchers for this library.
  • It had no major release in the last 12 months.
  • tchamba has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of tchamba is 0.2
tchamba Support
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tchamba Support
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quality kandi Quality

  • tchamba has no bugs reported.
tchamba Quality
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tchamba Quality
Best in #Generator Utils
Average in #Generator Utils

securitySecurity

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

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

  • tchamba releases are not available. You will need to build from source code and install.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
tchamba Reuse
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tchamba Reuse
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Top functions reviewed by kandi - BETA

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

  • Return a random Wikipedia article .
    • Return a random answer .
      • Return random football team .
        • Try to pick a random chuck .
          • Generate a random hex color .
            • Return random fake person .
              • Get a random word from SETGO .
                • Get a random Pokemon .
                  • Randomize a list .
                    • Generate a random rgb color .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      tchamba Key Features

                      Tchamba.random, is a real random data genarator (letters, jokes, names...)

                      tchamba Examples and Code Snippets

                      Community Discussions

                      Trending Discussions on Generator
                      • How can I make an object with an interface like a random number generator, but that actually generates a specified sequence?
                      • Translating async generator into sync one
                      • Return generator instead of list from df.to_dict()
                      • python call generator function from other function
                      • 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 tchamba

                      First install the tchamba package.

                      Support

                      If you have an idea, please feel free to submit an issue, or fork this project and add your awesome_random_function in tchamba.py file. I think that we need something cool and funny like this :smile: to use in our programs, for testing or for fun.

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                      Install
                      • pip install tchamba

                      Clone
                      • https://github.com/Fcmam5/tchamba.git

                      • gh repo clone Fcmam5/tchamba

                      • git@github.com:Fcmam5/tchamba.git

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