staging > main: cleaner kwargs + added default args

src/choi_cholesky/experiments/choi_cholesky/verify.py

@@ -23,7 +23,7 @@
     the algorithm can get close to a critical error under low numerical precision (e.g. Float32).
     For this reason we use double precision (Float64) numbers.
 
-    NOTE: The option `map_kind = "CP"` establishes a proper confirmation.
+    NOTE: The option `map = "CP"` establishes a proper confirmation.
     For completeness we have included the option `"CPTP"`,
     but this provides a circular test, as the generation of CPTP-maps here assumes results of paper in advance.
 
@@ -61,9 +61,9 @@ def verify_choi_cholesky(
     *,
     d1: int,
     d2: int,
-    num_experiments: int,
-    map_kind: MAP_CATEGORY,
-    algorithm_choice: ALGORITHM_CHOICE,
+    N: int = 100,
+    map: MAP_CATEGORY = "CP",
+    algorithm: ALGORITHM_CHOICE = "CHOI-CHOLESKY",
 ):
     """
     Experimental verification of Choi--Cholesky decomposition of CP-/CPTP-maps
@@ -71,14 +71,14 @@ def verify_choi_cholesky(
     # execute main method
     tol = TOL
     diffs: list[float] = []
-    for index in range(1, 1 + num_experiments):
+    for index in range(1, 1 + N):
         logging.info(f"run experiment {index}")
 
         """
         Create a random CP/CPTP-map
         """
 
-        match map_kind:
+        match map:
             case "CPTP":
                 logging.info("generate Choi matrix C of a random CPTP map Φ")
                 C = random_cptp(d1, d2, precision=PRECISION)
@@ -96,7 +96,7 @@ def verify_choi_cholesky(
         """
 
         logging.info("compute Choi-Cholesky decomposition for Φ")
-        match algorithm_choice:
+        match algorithm:
             case "CHOI-CHOLESKY-MODIFIED":
                 L = algorithm_choi_cholesky_modified(C, tol=TOL)
 

src/examples.py

@@ -51,7 +51,7 @@ if __name__ == "__main__":
     verify_choi_cholesky(
         d1=args.dim1,
         d2=args.dim2,
-        num_experiments=args.num,
-        map_kind=args.map,
-        algorithm_choice=args.algorithm,
+        N=args.num,
+        map=args.map,
+        algorithm=args.algorithm,
     )