refact(conf): rename cfg thread_pool --> execution_pool ...

ankostis · ankostis · commit 1758dbbe6fb2 · 2019-11-12T20:07:21.000+02:00
to anticipate storing also Executors in it.
diff --git a/graphtik/network.py b/graphtik/network.py
@@ -81,9 +81,10 @@
 log = logging.getLogger(__name__)
 
 
+#: Global configurations for all networks in some computaion.
 execution_configs: ContextVar[dict] = ContextVar(
     "execution_configs",
-    default={"thread_pool": Pool(7), "abort": False, "skip_evictions": False},
+    default={"execution_pool": Pool(7), "abort": False, "skip_evictions": False},
 )
 
 
@@ -247,7 +248,7 @@ def _execute_thread_pool_barrier_method(self, solution, overwrites, executed):
             n: solution[n] for n in self.steps if isinstance(n, _PinInstruction)
         }
 
-        pool = execution_configs.get()["thread_pool"]
+        pool = execution_configs.get()["execution_pool"]
 
         # with each loop iteration, we determine a set of operations that can be
         # scheduled, then schedule them onto a thread pool, then collect their

Original file line number	Diff line number	Diff line change
`@@ -81,9 +81,10 @@`
`81`	`81`	`log = logging.getLogger(__name__)`
`82`	`82`
`83`	`83`
	`84`	`+#: Global configurations for all networks in some computaion.`
`84`	`85`	`execution_configs: ContextVar[dict] = ContextVar(`
`85`	`86`	`"execution_configs",`
`86`		`- default={"thread_pool": Pool(7), "abort": False, "skip_evictions": False},`
	`87`	`+ default={"execution_pool": Pool(7), "abort": False, "skip_evictions": False},`
`87`	`88`	`)`
`88`	`89`
`89`	`90`
`@@ -247,7 +248,7 @@ def _execute_thread_pool_barrier_method(self, solution, overwrites, executed):`
`247`	`248`	`n: solution[n] for n in self.steps if isinstance(n, _PinInstruction)`
`248`	`249`	`}`
`249`	`250`
`250`		`- pool = execution_configs.get()["thread_pool"]`
	`251`	`+ pool = execution_configs.get()["execution_pool"]`
`251`	`252`
`252`	`253`	`# with each loop iteration, we determine a set of operations that can be`
`253`	`254`	`# scheduled, then schedule them onto a thread pool, then collect their`