feat(datafusion): implement negate

ibis/backends/datafusion/compiler.py

@@ -6,6 +6,7 @@
 import pyarrow as pa
 
 import ibis.common.exceptions as com
+import ibis.expr.datatypes as dt
 import ibis.expr.operations as ops
 import ibis.expr.types as ir
 from ibis.backends.datafusion.datatypes import to_pyarrow_type
@@ -392,6 +393,15 @@ def not_contains(op, expr):
     return df.functions.in_list(value, options, negated=True)
 
 
+@translate.register(ops.Negate)
+def negate(op, expr):
+    op_arg = op.arg
+    arg = translate(op_arg)
+    if op_arg.type() == dt.boolean:
+        return ~arg
+    return df.lit(-1) * arg
+
+
 @translate.register(ops.ElementWiseVectorizedUDF)
 def elementwise_udf(op, expr):
     udf = df.udf(

ibis/backends/tests/test_numeric.py

@@ -209,7 +209,6 @@ def test_math_functions_literals(backend, con, alltypes, df, expr, expected):
             lambda t: (-t.double_col).abs(),
             lambda t: (-t.double_col).abs(),
             id='abs-neg',
-            marks=pytest.mark.notimpl(["datafusion"]),
         ),
         param(
             lambda t: t.double_col.abs(),