From 137dc8765e986a83f270be176c1897d94022e7b4 Mon Sep 17 00:00:00 2001
From: Christoph Eder <ce1@live.de>
Date: Thu, 18 Dec 2025 16:09:46 +0100
Subject: [PATCH 1/3] Changes in symbol.py     Image is now stored as a np
 array again

---
 anansyTypes/structures/symbol.py | 21 ++++++++++-----------
 1 file changed, 10 insertions(+), 11 deletions(-)

diff --git a/anansyTypes/structures/symbol.py b/anansyTypes/structures/symbol.py
index e7cf104..8e182d0 100644
--- a/anansyTypes/structures/symbol.py
+++ b/anansyTypes/structures/symbol.py
@@ -11,22 +11,21 @@ import base64
 class Symbol:
     id: int
     label: str
-    image: Tensor[np.ndarray[Any, Any], tuple, Literal["int32", "int64"]]
+    image: np.ndarray 
 
     @classmethod
     def from_dict(cls, data: dict) -> "Symbol":
-        # if isinstance(data["image"], str):
-        #     # Decode from base64
-        #     image_bytes = base64.b64decode(data["image"])
-        #     image_array = np.frombuffer(image_bytes, dtype=np.uint8)
-        # else:
-        #     # From list/array
-        #     image_array = np.array(data["image"], dtype=np.int32)
-        image_data=data["image"].encode("utf-8")
+        if isinstance(data["image"], str):
+            # Decode base64 to numpy array
+            image_bytes = base64.b64decode(data["image"])
+            image_array = np.frombuffer(image_bytes, dtype=np.uint8)
+        else:
+            image_array = np.array(data["image"], dtype=np.uint8)
+        
         return cls(
             id=data["id"],
             label=data["label"],
-            image=image_data,
+            image=image_array,
         )
 
     @classmethod
@@ -46,7 +45,7 @@ class Symbol:
                 lambda x: {
                     "id": x.id,
                     "label": x.label,
-                    "image": x.image.decode("utf-8"),
+                    "image": base64.b64encode(x.image.tobytes()).decode("utf-8"),
                 },
                 when_used="json",
             ),

From af2abad1ff268fc8cbd719841a87a5f63060f976 Mon Sep 17 00:00:00 2001
From: Christoph Eder <ce1@live.de>
Date: Thu, 18 Dec 2025 16:11:44 +0100
Subject: [PATCH 2/3] Changes in symbol.py     Removed tobytes as it is already
 bytes

---
 anansyTypes/structures/symbol.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anansyTypes/structures/symbol.py b/anansyTypes/structures/symbol.py
index 8e182d0..7fefbbc 100644
--- a/anansyTypes/structures/symbol.py
+++ b/anansyTypes/structures/symbol.py
@@ -45,7 +45,7 @@ class Symbol:
                 lambda x: {
                     "id": x.id,
                     "label": x.label,
-                    "image": base64.b64encode(x.image.tobytes()).decode("utf-8"),
+                    "image": base64.b64encode(x.image).decode("utf-8"),
                 },
                 when_used="json",
             ),

From a4799f2c3faa879819d560db0abe38665952e009 Mon Sep 17 00:00:00 2001
From: Christoph Eder <ce1@live.de>
Date: Thu, 18 Dec 2025 16:18:36 +0100
Subject: [PATCH 3/3] Changes in symbol.py     Trying just bytes now

---
 anansyTypes/structures/symbol.py | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/anansyTypes/structures/symbol.py b/anansyTypes/structures/symbol.py
index 7fefbbc..fa211f9 100644
--- a/anansyTypes/structures/symbol.py
+++ b/anansyTypes/structures/symbol.py
@@ -11,21 +11,19 @@ import base64
 class Symbol:
     id: int
     label: str
-    image: np.ndarray 
+    image: bytes
 
     @classmethod
     def from_dict(cls, data: dict) -> "Symbol":
         if isinstance(data["image"], str):
-            # Decode base64 to numpy array
             image_bytes = base64.b64decode(data["image"])
-            image_array = np.frombuffer(image_bytes, dtype=np.uint8)
         else:
-            image_array = np.array(data["image"], dtype=np.uint8)
+            image_bytes = bytes(data["image"])
         
         return cls(
             id=data["id"],
             label=data["label"],
-            image=image_array,
+            image=image_bytes,
         )
 
     @classmethod