BtoF

doc/conf.py

@@ -82,7 +82,9 @@
 automodapi_toctreedirnm = "code/api"
 automodsumm_inherited_members = True
 
-mathjax_path = "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"
+mathjax_path = (
+    "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"
+)
 
 bibtex_bibfiles = ["references.bib"]
 
@@ -139,8 +141,7 @@
         }
     ],
     "extra_copyrights": [
-        "TensorFlow, the TensorFlow logo, and any related marks are trademarks "
-        "of Google Inc."
+        "TensorFlow, the TensorFlow logo, and any related marks are trademarks " "of Google Inc."
     ],
     "google_analytics_tracking_id": "UA-116279123-2",
     "prev_next_button_colour": "#b79226",

mrmustard/lab_dev/states/dm.py

@@ -257,7 +257,7 @@ def auto_shape(
             try:  # fock
                 shape = self.ansatz.array.shape[1:]
             except AttributeError:  # bargmann
-                if self.ansatz.polynomial_shape[0] == 0:
+                if self.ansatz.num_DV_vars == 0:
                     ansatz = self.ansatz
                     A, b, c = ansatz.A[0], ansatz.b[0], ansatz.c[0]
                     ansatz = ansatz / self.probability

mrmustard/lab_dev/states/ket.py

@@ -215,7 +215,7 @@ def auto_shape(
             try:  # fock
                 shape = self.ansatz.array.shape[1:]
             except AttributeError:  # bargmann
-                if self.ansatz.polynomial_shape[0] == 0:
+                if self.ansatz.num_DV_vars == 0:
                     ansatz = self.ansatz.conj & self.ansatz
                     A, b, c = ansatz.A[0], ansatz.b[0], ansatz.c[0]
                     ansatz = ansatz / self.probability