Release v0.3.0 (#92)

* Bump version to 0.3.0

* Add missing license headers

Author: stes

Dockerfile

@@ -42,7 +42,7 @@ RUN make dist
 FROM cebra-base
 
 # install the cebra wheel
-ENV WHEEL=cebra-0.3.0rc2-py2.py3-none-any.whl
+ENV WHEEL=cebra-0.3.0-py2.py3-none-any.whl
 WORKDIR /build
 COPY --from=wheel /build/dist/${WHEEL} .
 RUN pip install --no-cache-dir ${WHEEL}'[dev,integrations,datasets]'

Makefile

@@ -10,7 +10,7 @@ build: dist
 archlinux:
 	mkdir -p dist/arch
 	cp PKGBUILD dist/arch
-	cp dist/cebra-0.3.0rc2.tar.gz dist/arch
+	cp dist/cebra-0.3.0.tar.gz dist/arch
 	(cd dist/arch; makepkg --skipchecksums -f)
 
 # NOTE(stes): Ensure that no old tempfiles are present. Ideally, move this into

PKGBUILD

@@ -1,7 +1,7 @@
 # Maintainer: Steffen Schneider <[email protected]>
 pkgname=python-cebra
 _pkgname=cebra
-pkgver=0.3.0rc2
+pkgver=0.3.0
 pkgrel=1
 pkgdesc="Consistent Embeddings of high-dimensional Recordings using Auxiliary variables"
 url="https://cebra.ai"

cebra/__init__.py

@@ -47,7 +47,7 @@
 
 import cebra.integrations.sklearn as sklearn
 
-__version__ = "0.3.0rc2"
+__version__ = "0.3.0"
 __all__ = ["CEBRA"]
 __allow_lazy_imports = False
 __lazy_imports = {}

reinstall.sh

@@ -15,7 +15,7 @@ pip uninstall -y cebra
 # Get version info after uninstalling --- this will automatically get the
 # most recent version based on the source code in the current directory.
 # $(tools/get_cebra_version.sh)
-VERSION=0.3.0rc2
+VERSION=0.3.0
 echo "Upgrading to CEBRA v${VERSION}"
 
 # Upgrade the build system (PEP517/518 compatible)

tests/test_plotly.py

@@ -1,3 +1,14 @@
+#
+# (c) All rights reserved. ECOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE,
+# Switzerland, Laboratory of Prof. Mackenzie W. Mathis (UPMWMATHIS) and
+# original authors: Steffen Schneider, Jin H Lee, Mackenzie W Mathis. 2023.
+#
+# Source code:
+# https://github.com/AdaptiveMotorControlLab/CEBRA
+#
+# Please see LICENSE.md for the full license document:
+# https://github.com/AdaptiveMotorControlLab/CEBRA/LICENSE.md
+#
 import matplotlib
 import numpy as np
 import plotly.graph_objects as go