Skip to main content

pythondata-cpu-serv

Non-Python files needed for the cpu serv packaged into a Python module so they can be used with Python libraries and tools.

This is useful for usage with tools like LiteX.

The data files can be found under the Python module pythondata_cpu_serv. The pythondata_cpu_serv.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_serv

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_serv.data_location, my_data_file)) as f:
    print(f.read())

Example of getting the data file using litex.data.find API;

from pythondata_cpu_serv import data_file

my_data_file = "abc.txt"

with open(data_file(my_data_file)) as f:
    print(f.read())

The data files come from https://github.com/olofk/serv and are imported using git subtrees to the directory pythondata_cpu_serv/verilog.

Installing

Directly from git repository

Manually

You can install the package manually, however this is not recommended.

git clone https://github.com/litex-hub/pythondata-cpu-serv.git
cd pythondata-cpu-serv
sudo python setup.py install

Using pip with git repository

You can use pip to install the data package directly from github using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git

If you want to install for the whole system rather than just the current user, you need to remove the --user argument and run as sudo like so;

sudo pip install git+https://github.com/litex-hub/pythondata-cpu-serv.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-serv.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-serv.git

To use a specific revision of the repository, use the following;

-e https://github.com/litex-hub/pythondata-cpu-serv.git@<hash>

Via PyPi

Using pip

pip install --user pythondata-cpu-serv

With requirements.txt file

Add to your Python requirements.txt file using;

pythondata-cpu-serv

Issues and Fixes

This package is autogenerated from the sources in https://github.com/olofk/serv using the pythondata-auto toolset. Pull requests and issues on this pythondata repo may not be monitored.

Metadata

Release files for pythondata-cpu-serv 1.2.0.post145

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pythondata-cpu-serv 1.2.0.post145
File Size Uploaded Provenance Actions
pythondata-cpu-serv-1.2.0.post145.tar.gz 671.2 kB Without provenance Details for pythondata-cpu-serv-1.2.0.post145.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for pythondata-cpu-serv 1.2.0.post145
File Interpreter ABI Platform Actions
pythondata_cpu_serv-1.2.0.post145-py3-none-any.whl Python 3 none any Details for pythondata_cpu_serv-1.2.0.post145-py3-none-any.whl

Total release size: 1.4 MB

Release files / pythondata-cpu-serv-1.2.0.post145.tar.gz

Download URL pythondata-cpu-serv-1.2.0.post145.tar.gz
Size 671.2 kB
Tags Source
SHA-256 checksum
How to use checksums
8b988b5acc0d2c0b39596fab4e1258bc910c1e496681d3bc8ba8d71620f57aad
BLAKE2b-256 checksum
How to use checksums
9a3be3dedc7f1bacb57e1fb947a2741c513e7a48566c799ca8221cc67a335792
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.7

Release files / pythondata_cpu_serv-1.2.0.post145-py3-none-any.whl

Download URL pythondata_cpu_serv-1.2.0.post145-py3-none-any.whl
Size 734.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b8daab8162fc8a035beed1dfc5d34b94825d83c1e431779da6740581ef678769
BLAKE2b-256 checksum
How to use checksums
b99e3752a62f446671559b1372d9dbd373a00faa458ec8a36a1d4606e89bfd6a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.7

Security for pythondata-cpu-serv 1.2.0.post145

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page