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MAINT: make_rotating_asset -> make_rotating_equity.
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@@ -50,7 +50,7 @@ from zipline.pipeline.factors import (
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)
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from zipline.utils.memoize import lazyval
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from zipline.utils.test_utils import (
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make_rotating_asset_info,
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make_rotating_equity_info,
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make_simple_equity_info,
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product_upper_triangle,
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check_arrays,
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@@ -608,7 +608,7 @@ class SyntheticBcolzTestCase(TestCase):
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cls.trading_day = day = cls.env.trading_day
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cls.calendar = date_range('2015', '2015-08', tz='UTC', freq=day)
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cls.asset_info = make_rotating_asset_info(
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cls.asset_info = make_rotating_equity_info(
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num_assets=6,
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first_start=cls.first_asset_start,
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frequency=day,
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@@ -59,8 +59,8 @@ from zipline.errors import (
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from zipline.finance.trading import TradingEnvironment, noop_load
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from zipline.utils.test_utils import (
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all_subindices,
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make_rotating_asset_info,
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tmp_assets_db
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tmp_assets_db,
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make_rotating_equity_info,
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)
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@@ -105,7 +105,7 @@ def build_lookup_generic_cases(asset_finder_type):
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},
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],
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index='sid')
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with tmp_assets_db(frame) as assets_db:
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with tmp_assets_db(equities=frame) as assets_db:
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finder = asset_finder_type(assets_db)
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dupe_0, dupe_1, unique = assets = [
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finder.retrieve_asset(i)
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@@ -774,7 +774,7 @@ class AssetFinderTestCase(TestCase):
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trading_day = self.env.trading_day
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first_start = pd.Timestamp('2015-04-01', tz='UTC')
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frame = make_rotating_asset_info(
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frame = make_rotating_equity_info(
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num_assets=num_assets,
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first_start=first_start,
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frequency=self.env.trading_day,
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