comma-separated env. var.

Author: WrathfulSpatula

FindAFactor/find_a_factor.py

@@ -18,7 +18,7 @@ def find_a_factor(n,
                   smoothness_bound_multiplier=float(os.environ.get('FINDAFACTOR_SMOOTHNESS_BOUND_MULTIPLIER')) if os.environ.get('FINDAFACTOR_SMOOTHNESS_BOUND_MULTIPLIER') else 1.0,
                   gaussian_elimination_row_offset=int(os.environ.get('FINDAFACTOR_GAUSSIAN_ELIMINATION_ROW_OFFSET')) if os.environ.get('FINDAFACTOR_GAUSSIAN_ELIMINATION_ROW_OFFSET') else 1,
                   check_small_factors=True if os.environ.get('FINDAFACTOR_CHECK_SMALL_FACTORS') else False,
-                  wheel_primes_excluded=[int(i) for i in os.environ.get('FINDAFACTOR_WHEEL_PRIMES_EXCLUDED').split()] if os.environ.get('FINDAFACTOR_GAUSSIAN_ELIMINATION_ROW_OFFSET') else []):
+                  wheel_primes_excluded=[int(i) for i in os.environ.get('FINDAFACTOR_WHEEL_PRIMES_EXCLUDED').split(",")] if os.environ.get('FINDAFACTOR_GAUSSIAN_ELIMINATION_ROW_OFFSET') else []):
     return int(_find_a_factor._find_a_factor(str(n),
                                              int(method),
                                              node_count, node_id,

README.md

@@ -64,7 +64,7 @@ All variables defaults can also be controlled by environment variables:
 - `FINDAFACTOR_SMOOTHNESS_BOUND_MULTIPLIER`
 - `FINDAFACTOR_GAUSSIAN_ELIMINATION_ROW_OFFSET`
 - `FINDAFACTOR_CHECK_SMALL_FACTORS` (`True` if set at all, otherwise `False`)
-- `FINDAFACTOR_WHEEL_PRIMES_EXCLUDED` (space-separated prime numbers)
+- `FINDAFACTOR_WHEEL_PRIMES_EXCLUDED` (comma-separated prime numbers)
 
 ## About 
 This library was originally called ["Qimcifa"](https://github.com/vm6502q/qimcifa) and demonstrated a (Shor's-like) "quantum-inspired" algorithm for integer factoring. It has since been developed into a general factoring algorithm and tool.