TST: use --tb=short with pytest

COMPAT: skip tests for numpy >= 1.12 with pow and integer inputs

closes pandas-dev#15363

Author: jreback

.gitignore

@@ -19,6 +19,7 @@
 .noseids
 .ipynb_checkpoints
 .tags
+.cache/
 
 # Compiled source #
 ###################

ci/script.sh

@@ -20,11 +20,11 @@ fi
 if [ "$BUILD_TEST" ]; then
     echo "We are not running nosetests as this is simply a build test."
 elif [ "$COVERAGE" ]; then
-    echo pytest -s --cov=pandas --cov-report xml:/tmp/nosetests.xml $TEST_ARGS pandas
-    pytest -s --cov=pandas --cov-report xml:/tmp/nosetests.xml $TEST_ARGS pandas
+    echo pytest -s --cov=pandas --cov-report xml:/tmp/nosetests.xml $TEST_ARGS --tb=short pandas
+    pytest -s --cov=pandas --cov-report xml:/tmp/nosetests.xml $TEST_ARGS --tb=short pandas
 else
-    echo pytest $TEST_ARGS pandas
-    pytest $TEST_ARGS pandas # TODO: doctest
+    echo pytest $TEST_ARGS --tb=short pandas
+    pytest $TEST_ARGS --tb=short pandas # TODO: doctest
 fi
 
 RET="$?"

pandas/tests/test_expressions.py

@@ -12,7 +12,7 @@
 
 from pandas.core.api import DataFrame, Panel
 from pandas.computation import expressions as expr
-from pandas import compat
+from pandas import compat, _np_version_under1p12
 from pandas.util.testing import (assert_almost_equal, assert_series_equal,
                                  assert_frame_equal, assert_panel_equal,
                                  assert_panel4d_equal, slow)
@@ -282,6 +282,12 @@ def testit():
                                                        'evaluate')
                         self.assertNotEqual(result, f._is_mixed_type)
 
+                        # numpy >= 1.12 doesn't handle integers
+                        # raised to integer powers
+                        # https://github.com/pandas-dev/pandas/issues/15363
+                        if op == 'pow' and not _np_version_under1p12:
+                            continue
+
                         result = expr.evaluate(op, op_str, f, f,
                                                use_numexpr=True)
                         expected = expr.evaluate(op, op_str, f, f,