Cast only if number has same value

Author: davidbrochart

jupyter_ydoc/utils.py

@@ -1,17 +1,26 @@
-from typing import Dict, List, Union
+from typing import Dict, List, Type, Union
 
+INT = Type[int]
+FLOAT = Type[float]
 
-def cast_all(o: Union[List, Dict], from_type, to_type) -> Union[List, Dict]:
+
+def cast_all(
+    o: Union[List, Dict], from_type: Union[INT, FLOAT], to_type: Union[FLOAT, INT]
+) -> Union[List, Dict]:
     if isinstance(o, list):
         for i, v in enumerate(o):
             if type(v) == from_type:
-                o[i] = to_type(v)
+                v2 = to_type(v)
+                if v == v2:
+                    o[i] = v2
             elif isinstance(v, (list, dict)):
                 cast_all(v, from_type, to_type)
     elif isinstance(o, dict):
         for k, v in o.items():
             if type(v) == from_type:
-                o[k] = to_type(v)
+                v2 = to_type(v)
+                if v == v2:
+                    o[k] = v2
             elif isinstance(v, (list, dict)):
                 cast_all(v, from_type, to_type)
     return o

jupyter_ydoc/ydoc.py

@@ -86,7 +86,7 @@ def __init__(self, *args, **kwargs):
     def get_cell(self, index: int) -> Dict[str, Any]:
         meta = self._ymeta.to_json()
         cell = self._ycells[index].to_json()
-        cast_all(cell, float, int)
+        cast_all(cell, float, int)  # cells coming from Yjs have e.g. execution_count as float
         if "id" in cell and meta["nbformat"] == 4 and meta["nbformat_minor"] <= 4:
             # strip cell IDs if we have notebook format 4.0-4.4
             del cell["id"]
@@ -136,7 +136,7 @@ def set_ycell(self, index: int, ycell: Y.YMap, txn=None):
 
     def get(self):
         meta = self._ymeta.to_json()
-        cast_all(meta, float, int)
+        cast_all(meta, float, int)  # notebook coming from Yjs has e.g. nbformat as float
         cells = []
         for i in range(len(self._ycells)):
             cell = self.get_cell(i)
@@ -161,7 +161,7 @@ def get(self):
     def set(self, value):
         nb_without_cells = {key: value[key] for key in value.keys() if key != "cells"}
         nb = copy.deepcopy(nb_without_cells)
-        cast_all(nb, int, float)
+        cast_all(nb, int, float)  # Yjs expects numbers to be floating numbers
         cells = value["cells"] or [
             {
                 "cell_type": "code",