grasso | a FAT filesystem parser written in Python

by em- Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | grasso Summary

grasso is a Python library. grasso has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However grasso build file is not available. You can download it from GitHub.

This is a toy FAT filesystem parser which depends only on the standard library. It was mostly written to scratch an itch, so don’t expect it to work in any serious manner. The code is released under a MIT-style license, feel free to improve it.

Support

Quality

Security

License

Reuse

Support

grasso has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

grasso has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of grasso is current.

Quality

grasso has 0 bugs and 0 code smells.

Security

grasso has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

grasso code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

grasso is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

grasso releases are not available. You will need to build from source code and install.

grasso 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 700 lines of code, 69 functions and 6 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Reads a DirectoryEntry
Read count bytes from the source
Set the current position
Return whether this chain is within a range
Return the current position of the stream
Generate chain items for each cluster
Convert cluster number to logical sector number

Get all kandi verified functions for this library.

grasso Key Features

No Key Features are available at this moment for grasso.

grasso Examples and Code Snippets

No Code Snippets are available at this moment for grasso.

Community Discussions

Trending Discussions on grasso

commands of the music bot discord.py

Line Not Found in Java

QUESTION

commands of the music bot discord.py

Asked 2020-Nov-18 at 02:16

When I try to run the leave and play command I get this error. I've been looking for some questions for a long time but I haven't found this error anywhere how can I fix it?

WARNING! All codes and errors have been updated on 17/11/2020 03.24 CET. If you want to check what was written before go to the edit

Join and Leave Code:

...

ANSWER

Answered 2020-Nov-15 at 23:18

Please don't allow none values into the function

Source https://stackoverflow.com/questions/64734773

QUESTION

Line Not Found in Java

Asked 2020-Sep-15 at 18:47

Im having trouble reading data from a file. The error that i receive is:

...

ANSWER

Answered 2020-Sep-15 at 18:47

A few little things need to be changed in your code. Below is your code with my corrections. Explanations after the code.

Source https://stackoverflow.com/questions/63907686

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

Vulnerabilities

No vulnerabilities reported

Install grasso

You can download it from GitHub.
You can use grasso 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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