Skip to main content

Project generated with PyScaffold

uniovi-simur-wearablepermed-models

Uniovi Simur WearablePerMed Models.

A longer description of your project goes here...

1. Get all model types

$ models --list-types

2. Get all models inside a type

$ models --list-type-models mono_sensor

3. Get all models everywhere

$ models --list-all

4. Using the library to get models from code

A sample of use inside your code

from wearablepermed_models.main import get_model_types, load_manifest, get_package_root
from pathlib import Path

def get_model_file_path(model_type: str, model_key: str) -> Path:
    """Returns the actual system file path of a pkl file using its registration key."""
    manifest = load_manifest(model_type)
    if model_key not in manifest:
        raise KeyError(f"Key '{model_key}' not found in model type '{model_type}'")
        
    filename = manifest[model_key]["filename"]
    return get_package_root() / model_type / filename

print(get_model_file_path('mono_sensor', 'model_1'))

Note

This project has been set up using PyScaffold 4.6. For details and usage information on PyScaffold see https://pyscaffold.org/.

Metadata

Release files for uniovi-simur-wearablepermed-models 1.3.0

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

Source distribution (sdist)

Source distribution for uniovi-simur-wearablepermed-models 1.3.0
File Size Uploaded Provenance Actions
uniovi_simur_wearablepermed_models-1.3.0.tar.gz 22.9 kB Without provenance Details for uniovi_simur_wearablepermed_models-1.3.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for uniovi-simur-wearablepermed-models 1.3.0
File Interpreter ABI Platform Actions
uniovi_simur_wearablepermed_models-1.3.0-py3-none-any.whl Python 3 none any Details for uniovi_simur_wearablepermed_models-1.3.0-py3-none-any.whl

Total release size: 32.6 kB

Release files / uniovi_simur_wearablepermed_models-1.3.0.tar.gz

Download URL uniovi_simur_wearablepermed_models-1.3.0.tar.gz
Size 22.9 kB
Tags Source
SHA-256 checksum
How to use checksums
e89fa1132cdd01e08042478ba334e63847ec2fa97b3147a185443d35405c32d4
BLAKE2b-256 checksum
How to use checksums
f98c0ed48f5366fd9dbaa9fd32c808cd7095dfcd3569a8ae4ae2cb0a8a13cf8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.3

Release files / uniovi_simur_wearablepermed_models-1.3.0-py3-none-any.whl

Download URL uniovi_simur_wearablepermed_models-1.3.0-py3-none-any.whl
Size 9.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5d63bc4dc51a8e88ac5086462f39a4a068badb931ae66dc2997ee60f47db39b3
BLAKE2b-256 checksum
How to use checksums
96a1e36bc58f5894c332728e85166bb355388e3795c3272ba63ac1c6b1da97c5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.3

Security for uniovi-simur-wearablepermed-models 1.3.0

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.

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