CLN: Remove unused test code

pandas/tests/computation/test_eval.py

@@ -23,16 +23,13 @@
 from pandas.core.computation.expressions import (
     _NUMEXPR_INSTALLED, _USE_NUMEXPR)
 from pandas.core.computation.ops import (
-    _arith_ops_syms, _binary_math_ops, _binary_ops_dict, _bool_ops_syms,
+    _arith_ops_syms, _binary_math_ops, _binary_ops_dict,
     _special_case_arith_ops_syms, _unary_math_ops)
 import pandas.util.testing as tm
 from pandas.util.testing import (
     assert_frame_equal, assert_numpy_array_equal, assert_produces_warning,
     assert_series_equal, makeCustomDataframe as mkdf, randbool)
 
-_series_frame_incompatible = _bool_ops_syms
-_scalar_skip = 'in', 'not in'
-
 
 @pytest.fixture(params=(
     pytest.param(engine,
@@ -162,13 +159,21 @@ def teardown_method(self, method):
         del self.pandas_rhses, self.pandas_lhses, self.current_engines
 
     @pytest.mark.slow
-    def test_complex_cmp_ops(self):
-        cmp_ops = ('!=', '==', '<=', '>=', '<', '>')
-        cmp2_ops = ('>', '<')
-        for lhs, cmp1, rhs, binop, cmp2 in product(self.lhses, cmp_ops,
-                                                   self.rhses, self.bin_ops,
-                                                   cmp2_ops):
-            self.check_complex_cmp_op(lhs, cmp1, rhs, binop, cmp2)
+    @pytest.mark.parametrize('cmp1', ['!=', '==', '<=', '>=', '<', '>'],
+                             ids=['ne', 'eq', 'le', 'ge', 'lt', 'gt'])
+    @pytest.mark.parametrize('cmp2', ['>', '<'], ids=['gt', 'lt'])
+    def test_complex_cmp_ops(self, cmp1, cmp2):
+        for lhs, rhs, binop in product(
+                self.lhses, self.rhses, self.bin_ops):
+            lhs_new = _eval_single_bin(lhs, cmp1, rhs, self.engine)
+            rhs_new = _eval_single_bin(lhs, cmp2, rhs, self.engine)
+            expected = _eval_single_bin(
+                lhs_new, binop, rhs_new, self.engine)
+
+            ex = '(lhs {cmp1} rhs) {binop} (lhs {cmp2} rhs)'.format(
+                cmp1=cmp1, binop=binop, cmp2=cmp2)
+            result = pd.eval(ex, engine=self.engine, parser=self.parser)
+            self.check_equal(result, expected)
 
     def test_simple_cmp_ops(self):
         bool_lhses = (DataFrame(randbool(size=(10, 5))),
@@ -225,41 +230,6 @@ def check_equal(self, result, expected):
         else:
             assert result == expected
 
-    def check_complex_cmp_op(self, lhs, cmp1, rhs, binop, cmp2):
-        skip_these = _scalar_skip
-        ex = '(lhs {cmp1} rhs) {binop} (lhs {cmp2} rhs)'.format(cmp1=cmp1,
-                                                                binop=binop,
-                                                                cmp2=cmp2)
-        scalar_with_in_notin = (is_scalar(rhs) and (cmp1 in skip_these or
-                                                    cmp2 in skip_these))
-        if scalar_with_in_notin:
-            with pytest.raises(TypeError):
-                pd.eval(ex, engine=self.engine, parser=self.parser)
-            with pytest.raises(TypeError):
-                pd.eval(ex, engine=self.engine, parser=self.parser,
-                        local_dict={'lhs': lhs, 'rhs': rhs})
-        else:
-            lhs_new = _eval_single_bin(lhs, cmp1, rhs, self.engine)
-            rhs_new = _eval_single_bin(lhs, cmp2, rhs, self.engine)
-            if (isinstance(lhs_new, Series) and
-                    isinstance(rhs_new, DataFrame) and
-                    binop in _series_frame_incompatible):
-                pass
-                # TODO: the code below should be added back when left and right
-                # hand side bool ops are fixed.
-                #
-                # try:
-                #     pytest.raises(Exception, pd.eval, ex,
-                #                   local_dict={'lhs': lhs, 'rhs': rhs},
-                #                   engine=self.engine, parser=self.parser)
-                # except AssertionError:
-                #     raise
-            else:
-                expected = _eval_single_bin(
-                    lhs_new, binop, rhs_new, self.engine)
-                result = pd.eval(ex, engine=self.engine, parser=self.parser)
-                self.check_equal(result, expected)
-
     def check_chained_cmp_op(self, lhs, cmp1, mid, cmp2, rhs):
 
         def check_operands(left, right, cmp_op):