feat!: implemented norm_int functions and CohSum

This feature is designed to allow for the correct implementation of
normalization integrals. Thanks to Lawrence Ng for pointing this out to
me.

BREAKING: This change requires AmpOps to be converted into CohSums, and
it changes the implementation of Model to load a Vec<CohSum> rather than
a single AmpOp.

Cargo.toml

@@ -33,6 +33,7 @@ factorial = "0.4.0"
 sphrs = "0.2.2"
 criterion = "0.5.1"
 rand = "0.8.5"
+num_cpus = "1.16.0"
 
 [profile.release]
 lto = true

bacon.toml

@@ -15,6 +15,10 @@ need_stdout = false
 command = ["cargo", "check", "--all-targets", "--color", "always"]
 need_stdout = false
 
+[jobs.benchmark]
+command = ["cargo", "bench"]
+need_stdout = false
+
 [jobs.clippy]
 command = [
     "cargo",
@@ -40,6 +44,7 @@ need_stdout = false
 command = [
     "cargo",
     "test",
+    "--release",
     "--color",
     "always",
     "--",