Binlets: denoising via adaptive binning
Installation
Binlets can be installed from PyPI:
pip install binlets
Development
To set up a development environment in a new conda environment, run the following commands:
git clone https://github.com/maurosilber/binlets
cd binlets
conda env create -f environment.yml
conda activate binlets
pre-commit install
Release files for binlets 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| binlets-1.0.0.tar.gz | 8.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| binlets-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / binlets-1.0.0.tar.gz
| Download URL | binlets-1.0.0.tar.gz |
|---|---|
| Size | 8.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
Release files / binlets-1.0.0-py3-none-any.whl
| Download URL | binlets-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|