move objective wrapper into its own file

thursday/utilities/__init__.py

@@ -1,3 +1,4 @@
+from .closures import *
 from .colors import *
 from .prog80 import prog
 from .scoring import *

thursday/utilities/closures.py

@@ -0,0 +1,38 @@
+from .utils import scalar_softplus
+from .utils_np import do_bounding
+
+check = object()  # secret "key" to pass to wrap_untrustworthy to extract feval_count
+final = object()  # secret "key" to pass to wrap_untrustworthy to extract results
+
+
+class ExhaustedTrialsError(Exception):
+    pass
+
+
+def wrap_untrustworthy(
+    objective, n_trials, *, raising=False, bounding=None, softplus=False, eps=0.0
+):
+    # also handles bounding now, so it may be used for other purposes as well. whoops.
+    feval_count = 0
+    best_so_far = None
+
+    def _objective(x):
+        nonlocal feval_count, best_so_far
+        if x is check:
+            return feval_count
+        if x is final:
+            assert best_so_far is not None
+            fopt, xopt = best_so_far
+            return fopt, xopt, feval_count
+        if raising and feval_count >= n_trials:
+            raise ExhaustedTrialsError()
+        if bounding is not None:
+            x = do_bounding(x, bounding)
+        fx = objective(x)
+        feval_count += 1
+        if n_trials is None or feval_count <= n_trials:
+            if best_so_far is None or fx < best_so_far[0]:
+                best_so_far = (fx, x.copy())
+        return scalar_softplus(fx) + eps if softplus else fx
+
+    return _objective

thursday/utilities/utils.py

@@ -3,12 +3,6 @@ import math
 
 feps = 2.0**-23.0
 tiniest = 2.0**-1022.0
-check = object()  # secret "key" to pass to wrap_untrustworthy to extract feval_count
-final = object()  # secret "key" to pass to wrap_untrustworthy to extract results
-
-
-class ExhaustedTrialsError(Exception):
-    pass
 
 
 def scalar_softplus(x):
@@ -30,35 +24,6 @@ def phi(d):
     return x
 
 
-def wrap_untrustworthy(
-    objective, n_trials, *, raising=False, bounding=None, softplus=False, eps=0.0
-):
-    # also handles bounding now, so it may be used for other purposes as well. whoops.
-    feval_count = 0
-    best_so_far = None
-
-    def _objective(x):
-        nonlocal feval_count, best_so_far
-        if x is check:
-            return feval_count
-        if x is final:
-            assert best_so_far is not None
-            fopt, xopt = best_so_far
-            return fopt, xopt, feval_count
-        if raising and feval_count >= n_trials:
-            raise ExhaustedTrialsError()
-        if bounding is not None:
-            x = do_bounding(x, bounding)
-        fx = objective(x)
-        feval_count += 1
-        if n_trials is None or feval_count <= n_trials:
-            if best_so_far is None or fx < best_so_far[0]:
-                best_so_far = (fx, x.copy())
-        return scalar_softplus(fx) + eps if softplus else fx
-
-    return _objective
-
-
 @dataclass
 class KeyData:
     key: str

thursday/utilities/utils_np.py

@@ -1,5 +1,6 @@
 # i've separated numpy-dependent methods from the rest of the utils.
-from . import AcquireForWriting, merge_summaries, feps, m33, m34, m93
+from .colors import m33, m34, m93
+from .utils import AcquireForWriting, merge_summaries, feps
 from time import time
 import numpy as np