Bump version to 3.0.3

README.md

@@ -18,7 +18,7 @@ Vamb is most easily installed with pip - make sure your pip version is up to dat
 
 Recommended: Vamb can be installed with pip (thanks to contribution from C. Titus Brown):
 ```
-pip install https://github.com/RasmussenLab/vamb/archive/3.0.2.zip
+pip install https://github.com/RasmussenLab/vamb/archive/3.0.3.zip
 ```
 
 or using [Bioconda's package](https://anaconda.org/bioconda/vamb) (thanks to contribution from Antônio Pedro Camargo).

setup.py

@@ -10,7 +10,7 @@
     "url": "https://github.com/RasmussenLab/vamb",
     "author": "Jakob Nybo Nissen and Simon Rasmussen",
     "author_email": "[email protected]",
-    "version": "3.0.2",
+    "version": "3.0.3",
     "license": "MIT",
     "packages": find_packages(),
     "package_data": {"vamb": ["kernel.npz"]},

vamb/__init__.py

@@ -21,7 +21,7 @@
 
 __authors__ = 'Jakob Nybo Nissen', 'Simon Rasmussen'
 __licence__ = 'MIT'
-__version__ = (3, 0, 2)
+__version__ = (3, 0, 3)
 
 import sys as _sys
 if _sys.version_info[:2] < (3, 5):

workflow/README.md

@@ -27,7 +27,7 @@ To run the workflow first install a Python3 version of [Miniconda](https://docs.
  mamba install -n vamb -c bioconda/label/cf201901 metabat2
  mamba install -n vamb -c pytorch pytorch torchvision cudatoolkit=10.2
  conda activate vamb
- pip install https://github.com/RasmussenLab/vamb/archive/3.0.2.zip
+ pip install https://github.com/RasmussenLab/vamb/archive/3.0.3.zip
  conda deactivate
 ```
 

workflow/envs/vamb.yaml

@@ -10,4 +10,4 @@ dependencies:
   - cudatoolkit=10.2
   - pysam
   - pip:
-     - git+https://github.com/RasmussenLab/[email protected].2
+     - git+https://github.com/RasmussenLab/[email protected].3