Merge pull request #134 from Hazboun6/master

Bumping to v2.3.0

.github/workflows/ci_test.yml

@@ -6,7 +6,6 @@ on:
   pull_request:
     branches: [ master, dev ]
   release:
-    workflow_dispatch:
     types:
       - published
 
@@ -70,7 +69,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: "3.7"
+        python-version: "3.8"
     - name: Install non-python dependencies on linux
       run: |
         sudo apt-get install libsuitesparse-dev
@@ -116,7 +115,7 @@ jobs:
    - name: Set up Python
      uses: actions/setup-python@v2
      with:
-       python-version: '3.7'
+       python-version: '3.8'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip

HISTORY.rst

@@ -1,7 +1,13 @@
 =======
 History
 =======
+2.3.0 (2021-09-15)*
+Functionality added for NANOGrav 15yr dataset analyses.
+Outlier analysis software moved into separate package.
+
 2.2.0 (2021-08-10)
+Version with outlier analysis.
+
 0.9.1 (2021-05-06)
 0.9.0 (2019-09-20)
 ------------------

enterprise_extensions/__init__.py

@@ -1 +1 @@
-__version__ = "2.2.0"
+__version__ = "2.3.0"

setup.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 2.2.0
+current_version = 2.3.0
 commit = True
 tag = True
 

setup.py

@@ -26,16 +26,7 @@
     "ptmcmcsampler",
 ]
 
-test_requirements = [
-    "pytest",
-]
-
-if platform.system() == "Darwin":
-    extra_compile_args = ["-O2", "-Xpreprocessor", "-fopenmp", "-fno-wrapv"]
-    extra_link_args = ["-liomp5"] if os.getenv("NO_MKL", 0) == 0 else ["-lomp"]
-else:
-    extra_compile_args = ["-O2", "-fopenmp", "-fno-wrapv"]
-    extra_link_args = ["-liomp5"] if os.getenv("NO_MKL", 0) == 0 else []
+test_requirements = []
 
 # Extract version
 def get_version():
@@ -50,6 +41,7 @@ def get_version():
     version=get_version(),
     description="Extensions, model shortcuts, and utilities for the enterprise PTA analysis framework.",
     long_description=readme + "\n\n" + history,
+    long_description_content_type='text/x-rst',
     classifiers=[
         "Topic :: Scientific/Engineering :: Astronomy",
         "Topic :: Scientific/Engineering :: Physics",