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github-profile-readme-generator | Generate GitHub profile README | Generator Utils library

 by   rahuldkjain JavaScript Version: v1.2.0 License: Apache-2.0

 by   rahuldkjain JavaScript Version: v1.2.0 License: Apache-2.0

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kandi X-RAY | github-profile-readme-generator Summary

github-profile-readme-generator is a JavaScript library typically used in Generator, Generator Utils, React, Gatsby applications. github-profile-readme-generator has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.
View Demo · Report Bug · Request Feature.
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kandi-support Support

  • github-profile-readme-generator has a medium active ecosystem.
  • It has 9217 star(s) with 2071 fork(s). There are 56 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 102 open issues and 136 have been closed. On average issues are closed in 63 days. There are 62 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of github-profile-readme-generator is v1.2.0
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quality kandi Quality

  • github-profile-readme-generator has 0 bugs and 0 code smells.
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securitySecurity

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

  • github-profile-readme-generator is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
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buildReuse

  • github-profile-readme-generator releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
  • github-profile-readme-generator saves you 75 person hours of effort in developing the same functionality from scratch.
  • It has 193 lines of code, 0 functions and 50 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
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github-profile-readme-generator Key Features

Uniform Dev Icons

Uniform Social Icons

Visitors Counter Badge

GitHub Profile Stats Card

GitHub Top Skills

GitHub Streak Stats

Dynamic Dev(.)to Blogs (GitHub Action)

Dynamic Medium Blogs (GitHub Action)

Dynamic Personal Blogs from RSS Feed (GitHub Action)

Wakatime Stats contribute

Buy Me A Coffee button

Community Discussions

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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 github-profile-readme-generator

🌟 You are all set!.
Clone the repository
Change the working directory
Install dependencies
Run the app

Support

Please contribute using GitHub Flow. Create a branch, add commits, and open a pull request. Please read CONTRIBUTING for details on our CODE OF CONDUCT, and the process for submitting pull requests to us.

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