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Author: hassiebp

pyproject.toml

@@ -32,7 +32,6 @@ ruff = ">=0.1.8,<0.6.0"
 mypy = "^1.0.0"
 langchain-openai = ">=0.0.5,<0.3"
 langgraph = "^0.2.62"
-numpy = "^2.3.2"
 
 [tool.poetry.group.docs.dependencies]
 pdoc = "^14.4.0"

tests/test_serializer.py

@@ -174,38 +174,3 @@ def __init__(self):
     obj = SlotClass()
     serializer = EventSerializer()
     assert json.loads(serializer.encode(obj)) == {"field": "value"}
-
-
-def test_numpy_float32():
-    import numpy as np
-
-    data = np.float32(1.0)
-    serializer = EventSerializer()
-
-    assert serializer.encode(data) == "1.0"
-
-
-def test_numpy_arrays():
-    import numpy as np
-
-    serializer = EventSerializer()
-
-    # Test 1D array
-    arr_1d = np.array([1, 2, 3])
-    assert json.loads(serializer.encode(arr_1d)) == [1, 2, 3]
-
-    # Test 2D array
-    arr_2d = np.array([[1, 2], [3, 4]])
-    assert json.loads(serializer.encode(arr_2d)) == [[1, 2], [3, 4]]
-
-    # Test float array
-    arr_float = np.array([1.1, 2.2, 3.3])
-    assert json.loads(serializer.encode(arr_float)) == [1.1, 2.2, 3.3]
-
-    # Test empty array
-    arr_empty = np.array([])
-    assert json.loads(serializer.encode(arr_empty)) == []
-
-    # Test mixed types that numpy can handle
-    arr_mixed = np.array([1, 2.5, 3])
-    assert json.loads(serializer.encode(arr_mixed)) == [1.0, 2.5, 3.0]