Try excluding pulsar inflate/deflate in Python < 3.8

.coveragerc

@@ -3,3 +3,10 @@ source = enterprise
 omit =
     enterprise/__init__*
     enterprise/signals/__init__*
+plugins =
+    coverage_conditional_plugin
+
+[coverage_conditional_plugin]
+rules =
+    "sys_version_info >= (3, 8)": py-gte-38
+    "sys_version_info < (3, 8)": py-lt-38

enterprise/pulsar.py

@@ -15,11 +15,7 @@
 import enterprise
 from enterprise.signals import utils
 
-try:
-    from enterprise.pulsar_inflate import PulsarInflater
-except:
-    # pulsar.[deflate|inflate]() requires Python >= 3.8
-    pass
+from enterprise.pulsar_inflate import PulsarInflater
 
 logger = logging.getLogger(__name__)
 
@@ -553,23 +549,23 @@ def _get_sunssb(self, t2pulsar):
     _todeflate = ["_designmatrix", "_planetssb", "_sunssb", "_flags"]
     _deflated = "pristine"
 
-    def deflate(psr):
+    def deflate(psr):   # pragma: py-lt-38
         if psr._deflated == "pristine":
             for attr in psr._todeflate:
                 if isinstance(getattr(psr, attr), np.ndarray):
                     setattr(psr, attr, PulsarInflater(getattr(psr, attr)))
 
             psr._deflated = "deflated"
 
-    def inflate(psr):
+    def inflate(psr):   # pragma: py-lt-38
         if psr._deflated == "deflated":
             for attr in psr._todeflate:
                 if isinstance(getattr(psr, attr), PulsarInflater):
                     setattr(psr, attr, getattr(psr, attr).inflate())
 
             psr._deflated = "inflated"
 
-    def destroy(psr):
+    def destroy(psr):   # pragma: py-lt-38
         if psr._deflated == "deflated":
             for attr in psr._todeflate:
                 if isinstance(getattr(psr, attr), PulsarInflater):

enterprise/pulsar_inflate.py

@@ -1,12 +1,17 @@
-# deflate.py
+# pulsar_inflate.py
 """Defines PulsarInflater class: instances copy a numpy array to shared memory,
 and (after pickling) will reinflate to a numpy array that refers to the shared
 data.
 """
 
-from multiprocessing import shared_memory, resource_tracker
 import numpy as np
 
+try:
+    from multiprocessing import shared_memory, resource_tracker
+except:
+    # shared_memory unavailable in Python < 3.8 
+    pass
+
 
 class memmap(np.ndarray):
     def __del__(self):

requirements_dev.txt

@@ -12,5 +12,6 @@ PyYAML>=4.2b1
 pytest>=4.0.0
 sphinx-rtd-theme>=0.4.0
 pytest-cov>=2.7.0
+coverage-conditional-plugin>=0.4.0
 jupyter>=1.0.0
 build==0.3.1.post1