feat(bigquery): implement bitwise operations

Author: krzysztof-kwitt

ibis/backends/bigquery/registry.py

@@ -587,6 +587,12 @@ def _nth_value(t, op):
     ops.Clip: _clip,
     ops.Degrees: lambda t, op: f"(180 * {t.translate(op.arg)} / ACOS(-1))",
     ops.Radians: lambda t, op: f"(ACOS(-1) * {t.translate(op.arg)} / 180)",
+    ops.BitwiseNot: lambda t, op: f"~ {t.translate(op.arg)}",
+    ops.BitwiseXor: lambda t, op: f"{t.translate(op.left)} ^ {t.translate(op.right) }",
+    ops.BitwiseOr: lambda t, op: f"{t.translate(op.left)} | {t.translate(op.right) }",
+    ops.BitwiseAnd: lambda t, op: f"{t.translate(op.left)} & {t.translate(op.right) }",
+    ops.BitwiseLeftShift: lambda t, op: f"{t.translate(op.left)} << {t.translate(op.right) }",
+    ops.BitwiseRightShift: lambda t, op: f"{t.translate(op.left)} >> {t.translate(op.right) }",
     # Temporal functions
     ops.Date: unary("DATE"),
     ops.DateFromYMD: fixed_arity("DATE", 3),

ibis/backends/tests/test_numeric.py

@@ -614,7 +614,7 @@ def test_constants(con, const):
         param(lambda t: t.int_col, lambda _: 3, id="col_scalar"),
     ],
 )
-@pytest.mark.notimpl(["bigquery", "dask", "datafusion", "pandas", "snowflake"])
+@pytest.mark.notimpl(["dask", "datafusion", "pandas", "snowflake"])
 def test_bitwise_columns(backend, con, alltypes, df, op, left_fn, right_fn):
     expr = op(left_fn(alltypes), right_fn(alltypes)).name("tmp")
     result = con.execute(expr)
@@ -648,7 +648,7 @@ def test_bitwise_columns(backend, con, alltypes, df, op, left_fn, right_fn):
         param(rshift, lambda t: t.int_col, lambda _: 3, id="rshift_col_scalar"),
     ],
 )
-@pytest.mark.notimpl(["bigquery", "dask", "datafusion", "pandas"])
+@pytest.mark.notimpl(["dask", "datafusion", "pandas"])
 @pyspark_no_bitshift
 def test_bitwise_shift(backend, alltypes, df, op, left_fn, right_fn):
     expr = op(left_fn(alltypes), right_fn(alltypes)).name("tmp")
@@ -678,23 +678,23 @@ def test_bitwise_shift(backend, alltypes, df, op, left_fn, right_fn):
     ("left", "right"),
     [param(4, L(2), id="int_col"), param(L(4), 2, id="col_int")],
 )
-@pytest.mark.notimpl(["bigquery", "dask", "datafusion", "pandas"])
+@pytest.mark.notimpl(["dask", "datafusion", "pandas"])
 def test_bitwise_scalars(con, op, left, right):
     expr = op(left, right)
     result = con.execute(expr)
     expected = op(4, 2)
     assert result == expected
 
 
-@pytest.mark.notimpl(["bigquery", "dask", "datafusion", "pandas", "snowflake"])
+@pytest.mark.notimpl(["dask", "datafusion", "pandas", "snowflake"])
 def test_bitwise_not_scalar(con):
     expr = ~L(2)
     result = con.execute(expr)
     expected = -3
     assert result == expected
 
 
-@pytest.mark.notimpl(["bigquery", "dask", "datafusion", "pandas", "snowflake"])
+@pytest.mark.notimpl(["dask", "datafusion", "pandas", "snowflake"])
 def test_bitwise_not_col(backend, alltypes, df):
     expr = (~alltypes.int_col).name("tmp")
     result = expr.execute()