vaex-core: remove need for legacy printoptions

packages/vaex-core/vaex/expression.py

@@ -47,13 +47,9 @@
 PRINT_MAX_COUNT = 10
 
 expression_namespace = {}
+expression_namespace['np'] = np
 expression_namespace['nan'] = np.nan
 
-
-expression_namespace = {}
-expression_namespace['nan'] = np.nan
-
-
 _binary_ops = [
     dict(code="+", name='add', op=operator.add),
     dict(code="in", name='contains', op=operator.contains),

packages/vaex-core/vaex/expresso.py

@@ -110,12 +110,15 @@ def validate_expression(expr, variable_set, function_set=[], names=None):
     elif isinstance(expr, ast_Str):
         pass  # as well as strings
     elif isinstance(expr, _ast.Call):
-        validate_func(expr.func, function_set)
-        last_func = expr
-        for arg in expr.args:
-            validate_expression(arg, variable_set, function_set, names)
-        for arg in expr.keywords:
-            validate_expression(arg, variable_set, function_set, names)
+        if isinstance(expr.func, _ast.Attribute):
+            pass
+        else:
+            validate_func(expr.func, function_set)
+            last_func = expr
+            for arg in expr.args:
+                validate_expression(arg, variable_set, function_set, names)
+            for arg in expr.keywords:
+                validate_expression(arg, variable_set, function_set, names)
     elif isinstance(expr, _ast.Compare):
         validate_expression(expr.left, variable_set, function_set, names)
         for op in expr.ops:
@@ -370,6 +373,10 @@ def visit_Dict(self, node):
         return '{' + ', '.join(parts) + '}'
 
     def visit_Call(self, node):
+        if isinstance(node.func, _ast.Attribute):
+            # assuming np.float64(0.0) for instance
+            return str(node.args[0].value)
+
         args = [self.visit(k) for k in node.args]
         keywords = []
         if hasattr(node, 'keywords'):

tests/geo_test.py

@@ -1,8 +1,5 @@
 from common import *
 
-if np.lib.NumpyVersion(np.__version__) >= "2.0.0":
-    np.set_printoptions(legacy="1.25")
-
 def test_virtual_columns_spherical():
     df = vaex.from_scalars(alpha=0, delta=0, distance=1)
     df.add_virtual_columns_spherical_to_cartesian("alpha", "delta", "distance", "x", "y", "z", radians=False)