HeavyEdge-Dataset
Package to load edge profile data as PyTorch dataset.
Usage
HeavyEdge-Dataset provides dataset classes profile data file.
A simple use case to load two-dimensional coordinates of profiles and their lengths:
from heavyedge import get_sample_path, ProfileData
from heavyedge_dataset import ProfileDataset
with ProfileData(get_sample_path("Prep-Type2.h5")) as file:
data = ProfileDataset(file, 2)[:]
Refer to the package documentation for more information.
Installation
$ pip install heavyedge-dataset
Documentation
The manual can be found online:
If you want to build the document yourself, get the source code and install with [doc] dependency.
Then, go to doc directory and build the document:
$ pip install .[doc]
$ cd doc
$ make html
Document will be generated in build/html directory. Open index.html to see the central page.
Developing
Installation
For development features, you must install the package by pip install -e .[dev].
Testing
Run pytest command to perform unit test.
Metadata
Release files for heavyedge-dataset 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| heavyedge_dataset-1.3.0.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| heavyedge_dataset-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / heavyedge_dataset-1.3.0.tar.gz
| Download URL | heavyedge_dataset-1.3.0.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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Release files / heavyedge_dataset-1.3.0-py3-none-any.whl
| Download URL | heavyedge_dataset-1.3.0-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
|
