NUITKA-Utilities | A collection of scripts involving nuitka compiler
kandi X-RAY | NUITKA-Utilities Summary
kandi X-RAY | NUITKA-Utilities Summary
NUITKA-Utilities is a Python library. NUITKA-Utilities has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NUITKA-Utilities build file is not available. You can download it from GitHub.
A collection of scripts involving Python compilations with NUITKA.
A collection of scripts involving Python compilations with NUITKA.
Support
Quality
Security
License
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Support
NUITKA-Utilities has a low active ecosystem.
It has 86 star(s) with 44 fork(s). There are 11 watchers for this library.
It had no major release in the last 12 months.
There are 18 open issues and 19 have been closed. On average issues are closed in 40 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of NUITKA-Utilities is 0.6.11
Quality
NUITKA-Utilities has 0 bugs and 26 code smells.
Security
NUITKA-Utilities has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
NUITKA-Utilities code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
NUITKA-Utilities is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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NUITKA-Utilities releases are available to install and integrate.
NUITKA-Utilities has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 1782 lines of code, 27 functions and 12 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed NUITKA-Utilities and discovered the below as its top functions. This is intended to give you an instant insight into NUITKA-Utilities implemented functionality, and help decide if they suit your requirements.
- Analyze the script
- Analyze the input file
- Returns a list of dictionaries
- Removes all items from netto_calls
- Reduce a nuitka distribution
- Get all files under root
- Return True if path matches a glob pattern
- Compress binaries in the given directory
- Run command runner
- Remove temporary files
- Compute lzma dict size
- Display help
Get all kandi verified functions for this library.
NUITKA-Utilities Key Features
No Key Features are available at this moment for NUITKA-Utilities.
NUITKA-Utilities Examples and Code Snippets
Copy
function indexOf(str, substr) {
if (str === substr) {
return 0;
}
var table = builtKMPTable(substr);
var i = 0;
var j = 0;
while (i < str.length) {
if (str[i] === substr[j]) {
i += 1;
Copy
async function execute() {
try{
await client.connect()
console.log("Connected successfully.")
//await client.query("insert into employees values (1, 'John')")
const {rows} = await client.query("select * from employees")
Copy
public static void print(Node head) {
System.out.println("\n---------- PRINTING problems.LinkedList-------------");
while (head != null) {
System.out.print(head.val + " ");
head = head.next;
}
S
Community Discussions
No Community Discussions are available at this moment for NUITKA-Utilities.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NUITKA-Utilities
You can download it from GitHub.
You can use NUITKA-Utilities like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use NUITKA-Utilities like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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