guess_signed

WrightTools/kit/_array.py

@@ -28,6 +28,7 @@
     "valid_index",
     "mask_reduce",
     "enforce_mask_shape",
+    "signed",
 ]
 
 
@@ -202,7 +203,7 @@ def orthogonal(*args) -> bool:
         if hasattr(arg, "shape"):
             args[i] = arg.shape
     for s in zip(*args):
-        if np.prod(s) != max(s):
+        if np.product(s) != max(s):
             return False
     return True
 
@@ -433,3 +434,21 @@ def enforce_mask_shape(mask, shape):
     """
     red = tuple([i for i in range(len(shape)) if shape[i] == 1])
     return mask.max(axis=red, keepdims=True)
+
+
+def signed(d0):
+    """Tells bluesky whether to sign data. We have a 7.5 % tolerance right now.%"""
+
+    maxd0 = np.max(d0)
+    mind0 = np.min(d0)
+
+    tolerance = (maxd0 - np.absolute(mind0)) / (maxd0 + np.absolute(mind0))
+
+    if tolerance < 7.5 * 10 ** (-2):
+        if min(d0) > 0:
+            return False
+        else:
+            return True
+
+    else:
+        return False

tests/kit/signed.py

@@ -0,0 +1,22 @@
+"""Test signed data."""
+
+
+# --- import -------------------------------------------------------------------------------------
+
+
+import numpy as np
+
+import WrightTools as wt
+
+
+# --- test ---------------------------------------------------------------------------------------
+
+
+def test_5():
+    arr = np.array([-1, 0, 1])
+    assert wt.kit.signed(arr) == True
+
+
+def test_5_multiple():
+    arr = np.array([1, 3, 4, 11, 12])
+    assert wt.kit.signed(arr) == False