PERF: Speedup minute to session sampling.

The minute to session sampling reading was creating two DataFrame
objects, the first to hold the minute data, and then a second returned
by the `DataFrame.groupby` to sample down to sessions.

Instead use the arrays returned by the minute readers `load_raw_arrays`
and implement sampling logic which takes advantage that the minutes
being passed start with the first minute of the first session and end
with the last minute of the last session.

On my machine this takes the tests in `test/test_continuous_futures`
from ~4.0 to about ~0.1 seconds.

zipline/testing/fixtures.py

@@ -15,7 +15,7 @@ from .core import (
 )
 from ..data.data_portal import DataPortal
 from ..data.resample import (
-    minute_to_session,
+    minute_frame_to_session_frame,
     MinuteResampleSessionBarReader
 )
 from ..data.us_equity_pricing import (
@@ -679,8 +679,9 @@ class WithEquityDailyBarData(WithTradingEnvironment):
         assets = cls.asset_finder.retrieve_all(cls.asset_finder.equities_sids)
         minute_data = dict(cls.make_equity_minute_bar_data())
         for asset in assets:
-            yield asset.sid, minute_to_session(minute_data[asset.sid],
-                                               cls.trading_calendars[Equity])
+            yield asset.sid, minute_frame_to_session_frame(
+                minute_data[asset.sid],
+                cls.trading_calendars[Equity])
 
     @classmethod
     def make_equity_daily_bar_data(cls):