If you don't already have Anaconda Python installed, you can download and install it from https://anaconda.org. Either Anaconda or Miniconda is fine, but be sure to install the 64 bit version.
To install the prgoram, open up an Anaconda Python prompt and type:
conda create -n srm-aggregate python git
conda activate srm-aggregate
pip install srm-aggregate@git+https://github.com/NCRAR/srm-aggregate.git
To run the program, open up an Anaconda Python prompt and type:
conda activate srm-aggregate
srm-aggregate
To update the program, type (note the --upgrade flag):
pip install --upgrade srm-aggregate @ git+https://github.com/NCRAR/srm-aggregate.git
Release files for ncrar-dkm-tools 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ncrar-dkm-tools-0.0.2.tar.gz | 11.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ncrar_dkm_tools-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.6 kB
Release files / ncrar-dkm-tools-0.0.2.tar.gz
| Download URL | ncrar-dkm-tools-0.0.2.tar.gz |
|---|---|
| Size | 11.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6c429d3de1c7c1f08b04e4e404fd75bd2004c1718b72b73542a3dc7a2782ea6e
|
|
BLAKE2b-256 checksum How to use checksums |
5e82c55b8141216773a1a69ea3e80293596b9bee8552dcde5f8075aaa1ac444b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
Release files / ncrar_dkm_tools-0.0.2-py3-none-any.whl
| Download URL | ncrar_dkm_tools-0.0.2-py3-none-any.whl |
|---|---|
| Size | 11.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a87075b4d5a64dff78e4e19dd74c1c98fb6d508fae44d036582b7bba1f50832e
|
|
BLAKE2b-256 checksum How to use checksums |
e981a5d878cd2840ce3c1a4f67d35379edfaf43e4018221b14cb4b3aa799dcad
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|