Skip to main content

pythondata-cpu-cv32e40p

Non-Python files needed for the cpu cv32e40p 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_cv32e40p. The pythondata_cpu_cv32e40p.data_location value can be used to find the files on the file system.

Example of getting the data file directly;

import pythondata_cpu_cv32e40p

my_data_file = "abc.txt"

with open(os.path.join(pythondata_cpu_cv32e40p.data_location, my_data_file)) as f:
    print(f.read())

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

from pythondata_cpu_cv32e40p 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/antmicro/cv32e40p and are imported using git subtrees to the directory pythondata_cpu_cv32e40p/system_verilog.

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-cv32e40p.git
cd pythondata-cpu-cv32e40p
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-cv32e40p.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-cv32e40p.git

You can install a specific revision of the repository using;

pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<tag>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<branch>
pip install --user git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<hash>

With requirements.txt file

Add to your Python requirements.txt file using;

-e git+https://github.com/litex-hub/pythondata-cpu-cv32e40p.git

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

-e https://github.com/litex-hub/pythondata-cpu-cv32e40p.git@<hash>

Installing from PyPi

Using pip

pip install --user pythondata-cpu-cv32e40p

Metadata

Release files for pythondata-cpu-cv32e40p 0.0.post82

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-cv32e40p 0.0.post82
File Size Uploaded
pythondata-cpu-cv32e40p-0.0.post82.tar.gz 8.1 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for pythondata-cpu-cv32e40p 0.0.post82
File
pythondata_cpu_cv32e40p-0.0.post82-py3.10.egg Legacy Egg format - - Details
pythondata_cpu_cv32e40p-0.0.post82-py3.8.egg Legacy Egg format - - Details
pythondata_cpu_cv32e40p-0.0.post82-py3.7.egg Legacy Egg format - - Details
pythondata_cpu_cv32e40p-0.0.post82-py3.6.egg Legacy Egg format - - Details
pythondata_cpu_cv32e40p-0.0.post82-py3-none-any.whl Python 3 none any Details

Total release size: 51.4 MB

Release files / pythondata-cpu-cv32e40p-0.0.post82.tar.gz

Download URL pythondata-cpu-cv32e40p-0.0.post82.tar.gz
Size 8.1 MB
Tags Source
SHA-256 checksum
How to use checksums
5274e7dc9dd378e08d879340c3c6a61adc24185b9c4d5614b7a4fa2c229fef1e
BLAKE2b-256 checksum
How to use checksums
bfb78c11f536d269e42ea1536e7149816731e21915db77af3350936c4b188e61
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/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.7

Release files / pythondata_cpu_cv32e40p-0.0.post82-py3.10.egg

Download URL pythondata_cpu_cv32e40p-0.0.post82-py3.10.egg
Size 8.7 MB
Tags Egg
SHA-256 checksum
How to use checksums
a4ac7565090b0595bb1914950fec7243ddfe6c3a5a87a931e6df1228a06a3ad9
BLAKE2b-256 checksum
How to use checksums
5b68a404f230843644e35e50ad84ef659b4c942de4a01be94f2de6f9745f5ad6
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/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.10.0a5+

Release files / pythondata_cpu_cv32e40p-0.0.post82-py3.8.egg

Download URL pythondata_cpu_cv32e40p-0.0.post82-py3.8.egg
Size 8.7 MB
Tags Egg
SHA-256 checksum
How to use checksums
0e09f8f656da2d96a3b5fbc9297e8cd10e09a0bb333496c12ee35bfdcfabc300
BLAKE2b-256 checksum
How to use checksums
efa7b6a0f5ea03e3dd1c2021211ac9f81407aa980d2fcb9284320115aff97b2e
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/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.7

Release files / pythondata_cpu_cv32e40p-0.0.post82-py3.7.egg

Download URL pythondata_cpu_cv32e40p-0.0.post82-py3.7.egg
Size 8.7 MB
Tags Egg
SHA-256 checksum
How to use checksums
1e6e8709d533e9f00dc7e7e58bc7a1aadcd7f416316e4a4fd46adf3aea11f07d
BLAKE2b-256 checksum
How to use checksums
755f977ce08fa9bfc7c5c2f1959cfc7d0acc3b28d87a956347e3f0cf19bc8ef5
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/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.1

Release files / pythondata_cpu_cv32e40p-0.0.post82-py3.6.egg

Download URL pythondata_cpu_cv32e40p-0.0.post82-py3.6.egg
Size 8.7 MB
Tags Egg
SHA-256 checksum
How to use checksums
5ec2811d65f7721e22a3cf4a874bade46aa862c0b7227b80d465bccf5c2808a0
BLAKE2b-256 checksum
How to use checksums
0bb4a6b2755eb7ea877b57cc4a566eba1cc018a35bb8a28e1e6143f1f3ae4db8
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/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.7

Release files / pythondata_cpu_cv32e40p-0.0.post82-py3-none-any.whl

Download URL pythondata_cpu_cv32e40p-0.0.post82-py3-none-any.whl
Size 8.7 MB
Tags Python 3
SHA-256 checksum
How to use checksums
bbe45ba7d2d52dd1d283d0e9a4c49d3def8d4438d862024eb3c5dc9adbd2b5fd
BLAKE2b-256 checksum
How to use checksums
a5eca1aee0d3007fefc39cbe9f2f21633d0676640b29297bb6778f985aa95b35
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/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.6.7
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