python-libarchive-c | Python interface to libarchive | Compression library

by Changaco Python Version: 3.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | python-libarchive-c Summary

python-libarchive-c is a Python library typically used in Utilities, Compression applications. python-libarchive-c has no vulnerabilities, it has build file available and it has low support. However python-libarchive-c has 3 bugs and it has a Non-SPDX License. You can install using 'pip install python-libarchive-c' or download it from GitHub, PyPI.

Python interface to libarchive

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Quality

Security

License

Reuse

Support

python-libarchive-c has a low active ecosystem.

It has 54 star(s) with 35 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 48 have been closed. On average issues are closed in 487 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-libarchive-c is 3.2

Quality

python-libarchive-c has 3 bugs (0 blocker, 0 critical, 0 major, 3 minor) and 7 code smells.

Security

python-libarchive-c has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-libarchive-c code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

python-libarchive-c has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

python-libarchive-c releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

python-libarchive-c saves you 503 person hours of effort in developing the same functionality from scratch.

It has 1253 lines of code, 111 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Create a libarchive stream
Create a new archive
Get a read filter function
Get a read format function
Create a new ffi
Get the version number
Create a custom writer
Get a write filter function
Get a write format function
A context manager for creating a custom reader
A context manager for writing a file descriptor
Set the time of the entry
Format a time
Set birth time
Set the birthtime of the entry
Set the ctime of the entry
Set the mtime of the entry
Get a read format function
Check if an integer is positive
Return the error string
Extract all entries from a file descriptor
Extract entries from an archive
Yields an archive read
Context manager for creating a new write disk
Extract memory entries from a buffer
Yields an archive read from a buffer

Get all kandi verified functions for this library.

python-libarchive-c Key Features

No Key Features are available at this moment for python-libarchive-c.

python-libarchive-c Examples and Code Snippets

No Code Snippets are available at this moment for python-libarchive-c.

Community Discussions

Trending Discussions on python-libarchive-c

UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)

Conda fails to build, when inside docker container

Updating packages in conda

"ImportError: No module named seaborn" in Azure ML

Import rasterio failed. Reason: image not found

Why does Anaconda install a lot of unnecessary packages? Is this a settings issue that can be solved or am I not understanding conda env properly?

Inconsistent packages between Jupyter Notebook and Conda Command Line

QUESTION

UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)

Asked 2021-Dec-03 at 14:58

Good day

I am getting an error while importing my environment:

...

ANSWER

Answered 2021-Dec-03 at 09:22

Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

Source https://stackoverflow.com/questions/70209921

QUESTION

Conda fails to build, when inside docker container

Asked 2021-May-25 at 22:50

I am trying to build a docker image. This is the full dockerfile:

...

ANSWER

Answered 2021-May-25 at 22:50

Conda is Too Old

I replicated this error with the continuumio/miniconda2:4.5.11 Docker image:

Source https://stackoverflow.com/questions/67695702

QUESTION

Updating packages in conda

Asked 2021-Apr-14 at 20:26

I have a problem with updating packages in conda. The list of my installed packages is:

...

ANSWER

Answered 2021-Apr-14 at 20:26

Channel pypi means that the package was installed with pip. You may need to upgrade it with pip as well

Source https://stackoverflow.com/questions/67097308

QUESTION

"ImportError: No module named seaborn" in Azure ML

Asked 2020-Oct-22 at 16:57

Created a new compute instance in Azure ML and trained a model with out any issue. I wanted to draw a pairplot using seaborn but I keep getting the error "ImportError: No module named seaborn"

I ran !conda list and I can see seaborn in the list

...

ANSWER

Answered 2020-Sep-07 at 04:17

I just did the following and wasn't able to reproduce your error:

make a new compute instance
open it up using JupyterLab
open a new terminal
conda activate azureml_py36
conda install seaborn -y
open a new notebook and run import seaborn as sns

Spitballing

Are you using the kernel, Python 3.6 - AzureML (i.e. the azureml_py36 conda env)?
Have you tried restarting the kernel and/or creating a new compute instance?

Source https://stackoverflow.com/questions/63770171

QUESTION

Import rasterio failed. Reason: image not found

Asked 2020-Sep-22 at 05:37

I'm going to use rasterio in python. I downloaded rasterio via

...

ANSWER

Answered 2020-Sep-22 at 05:37

I've got some experience with rasterio, but I am not nearly a master with it. If I remember correctly, rasterio requires you to have installed the program GDAL(both binaries and python utilities), and some other dependencies listed on the PyPi page. I don't use conda at the moment, I like to use the regular python 3.8 installer with pip. Given what I'm seeing with your installation, I would uninstall rasterio and follow a different installation procedure.

I follow the instructions listed here: https://rasterio.readthedocs.io/en/latest/installation.html
This page also has separate instructions for those using Anaconda.

The GDAL installation is by far the most annoying but once it's done, the hard part is over. The python utilities for both rasterio and gdal can be found here:
https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
The second link is also provided on the PyPi page but I like to keep it bookmarked because there's a lot of good resources there!

Source https://stackoverflow.com/questions/64002714

QUESTION

Why does Anaconda install a lot of unnecessary packages? Is this a settings issue that can be solved or am I not understanding conda env properly?

Asked 2020-Mar-31 at 13:28

I have been studying some python lately and I think I have understood the "environments" concept (mainly though a pip youtube tutorial, and just to share with whoever's in need: 1, 2)

I tried the same set of concept understanding, this time using Anaconda (source), and these are my commands:

...

ANSWER

Answered 2020-Mar-31 at 13:28

Simply don't install the "anaconda" package:

Source https://stackoverflow.com/questions/60951581

QUESTION

Inconsistent packages between Jupyter Notebook and Conda Command Line

Asked 2020-Jan-13 at 04:08

I just installed PyTorch and am trying to use it in my Jupyter Notebook. In the notebook, when I run conda list, I see the following:

...

ANSWER

Answered 2020-Jan-04 at 04:26

You should create and use one conda enviroment other than (base).

After creating it, you should activate this env, through anaconda navigator or with source activate yourenvname. You will see something like:

(yourenvname) whoiam@MacBook-Pro Downloads

In the terminal, if your enviroment, with the name yourenvname is activated.

Only after doing this, you can install your packages via pip install in the terminal and then open you jupyter notebook, or directly install your packages in the jupyter notebook. By activating the env you ensure that all your packages are in the same and only directory.

Source https://stackoverflow.com/questions/59587761

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

Vulnerabilities

No vulnerabilities reported

Install python-libarchive-c

You can install using 'pip install python-libarchive-c' or download it from GitHub, PyPI.
You can use python-libarchive-c 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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