Bump version: 0.5.0 → 0.6.0

hudson-and-thames · Nov 15, 2021 · 71ea616 · 71ea616
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Showing 5 changed files with 7 additions and 8 deletions.
diff --git a/.bumpversion.cfg b/.bumpversion.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.5.0
+current_version = 0.6.0
 commit = True
 tag = True
 tag_name = {new_version}

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -22,7 +22,7 @@
 author = 'Hudson & Thames Quantitative Research'
 
 # The full version, including alpha/beta/rc tags
-release = '0.5.0'
+release = '0.6.0'
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/docs/source/getting_started/installation.rst b/docs/source/getting_started/installation.rst
@@ -81,7 +81,7 @@ Ubuntu Linux
 
    .. code-block::
 
-      pip install https://1fed2947109cfffdd6aaf615ea84a82be897c4b9@raw.githubusercontent.com/hudson-and-thames-clients/arbitragelab/master/arbitragelab-0.5.0-py3-none-any.whl
+      pip install https://1fed2947109cfffdd6aaf615ea84a82be897c4b9@raw.githubusercontent.com/hudson-and-thames-clients/arbitragelab/master/arbitragelab-0.6.0-py3-none-any.whl
 
 8. Install CVXPY (this library is used for convex optimization problems).
 
@@ -185,7 +185,7 @@ Mac OS X
 
    .. code-block::
 
-      pip install https://1fed2947109cfffdd6aaf615ea84a82be897c4b9@raw.githubusercontent.com/hudson-and-thames-clients/arbitragelab/master/arbitragelab-0.5.0-py3-none-any.whl
+      pip install https://1fed2947109cfffdd6aaf615ea84a82be897c4b9@raw.githubusercontent.com/hudson-and-thames-clients/arbitragelab/master/arbitragelab-0.6.0-py3-none-any.whl
 
 8. Install CVXPY (this library is used for convex optimization problems).
 
@@ -303,7 +303,7 @@ Windows
 
    .. code-block::
 
-      pip install https://1fed2947109cfffdd6aaf615ea84a82be897c4b9@raw.githubusercontent.com/hudson-and-thames-clients/arbitragelab/master/arbitragelab-0.5.0-py3-none-any.whl
+      pip install https://1fed2947109cfffdd6aaf615ea84a82be897c4b9@raw.githubusercontent.com/hudson-and-thames-clients/arbitragelab/master/arbitragelab-0.6.0-py3-none-any.whl
 
 9. (Optional) **Only if you want to use the ML Approach Module**, install the TensorFlow, Keras packages, and update the NumPy version.
    Note that you should have pip version "pip==20.1.1" to do this. Supported TensorFlow and Keras versions

diff --git a/setup.cfg b/setup.cfg
@@ -1,6 +1,6 @@
 [metadata]
 name = arbitragelab
-version = 0.5.0
+version = 0.6.0
 author = Hudson and Thames Quantitative Research
 author_email = research@hudsonthames.org
 licence = All Rights Reserved

diff --git a/setup.py b/setup.py
@@ -25,8 +25,7 @@
 # 1. Create package: python setup.py bdist_wheel
 # 2. Unzip the dist.whl file
 # 2.2 cd into the unzipped dir
-# 3. Obfuscate: pyarmor obfuscate --platform windows.x86_64 --platform linux.x86_64 --platform darwin.x86_64 --obf-code=0 --recursive --output dist/mlfinlab mlfinlab/__init__.py
-# 4. Add back datasets in mlfinlab
+# 3. Obfuscate: pyarmor obfuscate --platform windows.x86_64 --platform linux.x86_64 --platform darwin.x86_64 --obf-code=0 --recursive --output dist/arbitragelab arbitragelab/__init__.py
 # 4. Repackage
 # 5. install
 # 6. test