Skip to main content

pythondata-cpu-minerva

Non-Python files needed for the cpu minerva 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_minerva. The pythondata_cpu_minerva.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_minerva

my_data_file = "abc.txt"

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

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

from pythondata_cpu_minerva 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/lambdaconcept/minerva and are imported using git subtrees to the directory pythondata_cpu_minerva/sources.

Installing from git repository

Manually

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

git clone https://github.com/litex-hub/pythondata-cpu-minerva.git
cd pythondata-cpu-minerva
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-minerva.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-minerva.git

You can install a specific revision of the repository using;

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

With requirements.txt file

Add to your Python requirements.txt file using;

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

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

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

Installing from PyPi

Using pip

pip install --user pythondata-cpu-minerva

Metadata

Release files for pythondata-cpu-minerva 0.0.post193

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-minerva 0.0.post193
File Size Uploaded Provenance Actions
pythondata-cpu-minerva-0.0.post193.tar.gz 36.9 kB Without provenance Details for pythondata-cpu-minerva-0.0.post193.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for pythondata-cpu-minerva 0.0.post193
File Interpreter ABI Platform Actions
pythondata_cpu_minerva-0.0.post193-py3-none-any.whl Python 3 none any Details for pythondata_cpu_minerva-0.0.post193-py3-none-any.whl
pythondata_cpu_minerva-0.0.post193-py2-none-any.whl Python 2 none any Details for pythondata_cpu_minerva-0.0.post193-py2-none-any.whl

Total release size: 136.4 kB

Release files / pythondata-cpu-minerva-0.0.post193.tar.gz

Download URL pythondata-cpu-minerva-0.0.post193.tar.gz
Size 36.9 kB
Tags Source
SHA-256 checksum
How to use checksums
541eac9c1dd67b555728a86bc87447110b20ee85318dc82239b42a9074455f83
BLAKE2b-256 checksum
How to use checksums
46401ecb51840997e99ba2e469f6fa6a69b424f9899348d956f9c8da0f7cdf17
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

Release files / pythondata_cpu_minerva-0.0.post193-py3-none-any.whl

Download URL pythondata_cpu_minerva-0.0.post193-py3-none-any.whl
Size 49.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
de71058ff44a37566d332677b00128193bd928181596d3c2b53c6ef0182b8d5a
BLAKE2b-256 checksum
How to use checksums
d665e80de966298604b645fb802471e8ad405376c38d41fad902caf56396aab4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

Release files / pythondata_cpu_minerva-0.0.post193-py2-none-any.whl

Download URL pythondata_cpu_minerva-0.0.post193-py2-none-any.whl
Size 49.8 kB
Tags Python 2
SHA-256 checksum
How to use checksums
9d8734a2e18d1424920c84546f28c62c41f4409fe5ef0ce30d161e001afc7f6c
BLAKE2b-256 checksum
How to use checksums
f04a73714382f59eca40c5a78ff3e47f01189d169fbc38d3cbc299fc47256e89
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.7.0 requests/2.25.1 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 PyPy/7.3.3

Security for pythondata-cpu-minerva 0.0.post193

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