wispy
Neural Network Based Waveform Modelling
pypi - https://pypi.org/project/gw-wispy/
Installation
pip install gw-wispy
Development
conda create -n wispy python=3.7
conda activate wispy
pip install tensorflow lalsuite pycbc matplotlib tensorflow-addons tqdm gw-phenom
Upload to pypi
python setup.py clean --all
rm -rf dist/
python3 setup.py sdist bdist_wheel
python3 -m twine upload dist/*
1 maintainer
Release files for gw-wispy 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gw-wispy-0.5.0.tar.gz | 26.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gw_wispy-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.9 kB
Release files / gw-wispy-0.5.0.tar.gz
| Download URL | gw-wispy-0.5.0.tar.gz |
|---|---|
| Size | 26.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-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/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
|
Release files / gw_wispy-0.5.0-py3-none-any.whl
| Download URL | gw_wispy-0.5.0-py3-none-any.whl |
|---|---|
| Size | 46.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
44838e4c2a14394ff365de5acaa7699ce3037ded814f06e02806cdb4d3b32883
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
|
