Support Python 3.11 (#796)

* Support Python 3.11

* Pin minimum version of numpy

* Pin minimum version of nibabel

* update setup.cfg

* Update setup.cfg

.github/workflows/testing.yml

@@ -38,7 +38,7 @@ jobs:
         fail-fast: false
         matrix:
             os: ["ubuntu-latest", "macos-latest"]
-            python-version: ["3.8", "3.9", "3.10"]
+            python-version: ["3.8", "3.9", "3.10", "3.11"]
 
     defaults:
       run:

docs/installation.rst

@@ -19,8 +19,8 @@ NiMARE requires Python ``>=3.8`` and a number of packages.
 For a complete list, please see ``nimare/setup.cfg``.
 
 .. note::
-    We only support Python versions that are part of the Python release cycle (i.e., 3.8, 3.9, and
-    3.10). For more information, see `Python Supported Versions`_.
+    We only support Python versions that are part of the Python release cycle (i.e., 3.8, 3.9, 
+    3.10, and 3.11). For more information, see `Python Supported Versions`_.
 
 What Next?
 ----------

setup.cfg

@@ -29,24 +29,23 @@ classifiers =
     Intended Audience :: Science/Research
     License :: OSI Approved :: MIT License
     Operating System :: OS Independent
-    Programming Language :: Python :: 3.6
-    Programming Language :: Python :: 3.7
     Programming Language :: Python :: 3.8
     Programming Language :: Python :: 3.9
     Programming Language :: Python :: 3.10
+    Programming Language :: Python :: 3.11
     Topic :: Scientific/Engineering
 
 [options]
-python_requires = >= 3.6
+python_requires = >= 3.8
 install_requires =
     cognitiveatlas  # nimare.annotate.cogat
     fuzzywuzzy  # nimare.annotate
     joblib  # parallelization
     matplotlib>=3.3  # this is for nilearn, which doesn't include it in its reqs
     nibabel>=3.2.0  # I/O of niftis
     nilearn>=0.10.1
-    numba  # used by sparse
-    numpy>=1.19.0
+    numba>=0.57.0 # used by sparse
+    numpy>=1.21
     pandas>=1.1.5
     pymare~=0.0.4rc2  # nimare.meta.ibma and stats
     requests  # nimare.extract
@@ -86,7 +85,7 @@ minimum =
     matplotlib==3.3.4
     nibabel==3.2.0
     nilearn==0.10.1
-    numpy==1.19.0
+    numpy==1.21
     pandas==1.1.5
     pymare==0.0.4rc2
     scikit-learn==1.0.0