BLD: fix conda to 4.3.30

CI: move 3.5 conda build to allowed_failures

closes pandas-dev#18870 for abspath

Author: jreback

.travis.yml

@@ -49,6 +49,7 @@ matrix:
         apt:
           packages:
           - python-gtk2
+    # In allow_failures
     - dist: trusty
       env:
         - JOB="3.5_CONDA_BUILD_TEST" TEST_ARGS="--skip-slow --skip-network" CONDA_BUILD_TEST=true COVERAGE=true
@@ -76,6 +77,10 @@ matrix:
       env:
         - JOB="3.6_DOC" DOC=true
     allow_failures:
+      # TODO(jreback)
+      - dist: trusty
+        env:
+          - JOB="3.5_CONDA_BUILD_TEST" TEST_ARGS="--skip-slow --skip-network" CONDA_BUILD_TEST=true COVERAGE=true
       - dist: trusty
         env:
           - JOB="2.7_SLOW" SLOW=true

ci/install_travis.sh

@@ -56,6 +56,11 @@ if [ "$CONDA_BUILD_TEST" ]; then
     conda install conda-build
 fi
 
+# TODO(jreback)
+echo
+echo "[fix conda version]"
+conda install conda=4.3.30
+
 echo
 echo "[add channels]"
 conda config --remove channels defaults || exit 1

pandas/tests/io/test_common.py

@@ -40,7 +40,7 @@ def __fspath__(self):
 except ImportError:
     pass
 
-HERE = os.path.dirname(__file__)
+HERE = os.path.abspath(os.path.dirname(__file__))
 
 
 class TestCommonIOCapabilities(object):
@@ -150,10 +150,8 @@ def test_read_non_existant(self, reader, module, error_class, fn_ext):
         (pd.read_fwf, 'os', os.path.join(HERE, 'data',
                                          'fixed_width_format.txt')),
         (pd.read_excel, 'xlrd', os.path.join(HERE, 'data', 'test1.xlsx')),
-
-        # TODO(jreback) gh-18873
-        # (pd.read_feather, 'feather', os.path.join(HERE, 'data',
-        #                                           'feather-0_3_1.feather')),
+        (pd.read_feather, 'feather', os.path.join(HERE, 'data',
+                                                  'feather-0_3_1.feather')),
         (pd.read_hdf, 'tables', os.path.join(HERE, 'data', 'legacy_hdf',
                                              'datetimetz_object.h5')),
         (pd.read_stata, 'os', os.path.join(HERE, 'data', 'stata10_115.dta')),