TST: convert constant 'setup-like' values/objects to pytest fixtures

pandas/tests/test_resample.py

@@ -18,7 +18,7 @@
 
 from pandas.core.dtypes.generic import ABCSeries, ABCDataFrame
 from pandas.compat import range, lrange, zip, product, OrderedDict
-from pandas.core.base import SpecificationError
+from pandas.core.base import SpecificationError, AbstractMethodError
 from pandas.errors import UnsupportedFunctionCall
 from pandas.core.groupby import DataError
 from pandas.tseries.frequencies import MONTHS, DAYS
@@ -698,32 +698,44 @@ def create_index(self, *args, **kwargs):
  factory = self._index_factory()
  return factory(*args, **kwargs)
 
- _index_fixture_start = datetime(2005, 1, 1)
- _index_fixture_end = datetime(2005, 1, 10)
- _index_fixture_freq = 'D'
+ @pytest.fixture
+ def _index_start(self):
+ return datetime(2005, 1, 1)
+
+ @pytest.fixture
+ def _index_end(self):
+ return datetime(2005, 1, 10)
+
+ @pytest.fixture
+ def _index_freq(self):
+ return 'D'
 
  @pytest.fixture
- def index(self):
- return self.create_index(self._index_fixture_start,
- self._index_fixture_end,
- freq=self._index_fixture_freq)
+ def index(self, _index_start, _index_end, _index_freq):
+ return self.create_index(_index_start, _index_end, freq=_index_freq)
 
  @pytest.fixture
- def series(self, index):
- return Series(np.arange(len(index)), index=index,
- name=self._series_fixture_name)
+ def _series_name(self):
+ raise AbstractMethodError(self)
 
  @pytest.fixture
- def frame(self, index):
- return DataFrame({'value': np.arange(len(index))}, index=index)
+ def _static_values(self, index):
+ return np.arange(len(index))
+
+ @pytest.fixture
+ def series(self, index, _series_name, _static_values):
+ return Series(_static_values, index=index, name=_series_name)
+
+ @pytest.fixture
+ def frame(self, index, _static_values):
+ return DataFrame({'value': _static_values}, index=index)
 
  @pytest.fixture(params=[Series, DataFrame])
- def series_and_frame(self, request, index):
+ def series_and_frame(self, request, index, _series_name, _static_values):
  if request.param == Series:
- return Series(np.arange(len(index)), index=index,
- name=self._series_fixture_name)
+ return Series(_static_values, index=index, name=_series_name)
  if request.param == DataFrame:
- return DataFrame({'value': np.arange(len(index))}, index=index)
+ return DataFrame({'value': _static_values}, index=index)
 
  @pytest.mark.parametrize('freq', ['2D', '1H'])
  def test_asfreq(self, series_and_frame, freq):
@@ -876,7 +888,10 @@ def test_apply_to_empty_series(self):
 
 class TestDatetimeIndex(Base):
  _index_factory = lambda x: date_range
- _series_fixture_name = 'dti'
+
+ @pytest.fixture
+ def _series_name(self):
+ return 'dti'
 
  def setup_method(self, method):
  dti = DatetimeIndex(start=datetime(2005, 1, 1),
@@ -2225,7 +2240,10 @@ def test_resample_datetime_values(self):
 
 class TestPeriodIndex(Base):
  _index_factory = lambda x: period_range
- _series_fixture_name = 'pi'
+
+ @pytest.fixture
+ def _series_name(self):
+ return 'pi'
 
  def create_series(self):
  # TODO: replace calls to .create_series() by injecting the series
@@ -2884,9 +2902,18 @@ def test_resample_with_only_nat(self):
 
 class TestTimedeltaIndex(Base):
  _index_factory = lambda x: timedelta_range
- _series_fixture_name = 'tdi'
- _index_fixture_start = '1 day'
- _index_fixture_end = '10 day'
+
+ @pytest.fixture
+ def _index_start(self):
+ return '1 day'
+
+ @pytest.fixture
+ def _index_end(self):
+ return '10 day'
+
+ @pytest.fixture
+ def _series_name(self):
+ return 'tdi'
 
  def create_series(self):
  i = timedelta_range('1 day',