mirror of
https://github.com/wassname/catalyst.git
synced 2026-09-09 11:19:23 +08:00
Updates flake8 to latest.
The latest flake8 release in now 1.5, which pulls in pep8: 1.3.4a0 The upgrade pep8 has changes to what it picks up as lint. Making code base compatible, so that new devs can install pep8 from PyPI and not have friction over the version difference. Currently using these ignores in the config file: ``` [pep8] ignore = E124,E125,E126 ``` Ignoring these since they are difficult to squash while maintaining an 80 char line length, and appear spurious. Should address later. Updates Travis config, README, and pip requirements to reflect change.
This commit is contained in:
@@ -55,8 +55,7 @@ class SlippageTestCase(TestCase):
|
||||
{'dt': datetime.datetime(2006, 1, 5, 14, 30, tzinfo=pytz.utc),
|
||||
'amount': 100,
|
||||
'filled': 0, 'sid': 133})
|
||||
]
|
||||
}
|
||||
]}
|
||||
|
||||
txn = slippage_model.simulate(
|
||||
event,
|
||||
@@ -69,7 +68,7 @@ class SlippageTestCase(TestCase):
|
||||
2006, 1, 5, 14, 31, tzinfo=pytz.utc),
|
||||
'amount': int(50),
|
||||
'sid': int(133)
|
||||
}
|
||||
}
|
||||
|
||||
self.assertIsNotNone(txn)
|
||||
|
||||
|
||||
@@ -83,10 +83,10 @@ class ExceptionTestCase(TestCase):
|
||||
# Simulation
|
||||
# ----------
|
||||
self.zipline_test_config['algorithm'] = \
|
||||
ExceptionAlgorithm(
|
||||
'handle_data',
|
||||
self.zipline_test_config['sid']
|
||||
)
|
||||
ExceptionAlgorithm(
|
||||
'handle_data',
|
||||
self.zipline_test_config['sid']
|
||||
)
|
||||
|
||||
zipline = simfactory.create_test_zipline(
|
||||
**self.zipline_test_config
|
||||
@@ -103,9 +103,9 @@ class ExceptionTestCase(TestCase):
|
||||
# Simulation
|
||||
# ----------
|
||||
self.zipline_test_config['algorithm'] = \
|
||||
DivByZeroAlgorithm(
|
||||
self.zipline_test_config['sid']
|
||||
)
|
||||
DivByZeroAlgorithm(
|
||||
self.zipline_test_config['sid']
|
||||
)
|
||||
|
||||
zipline = simfactory.create_test_zipline(
|
||||
**self.zipline_test_config
|
||||
|
||||
@@ -72,7 +72,7 @@ class FinanceTestCase(TestCase):
|
||||
@timed(DEFAULT_TIMEOUT)
|
||||
def test_trading_environment(self):
|
||||
benchmark_returns, treasury_curves = \
|
||||
factory.load_market_data()
|
||||
factory.load_market_data()
|
||||
|
||||
env = TradingEnvironment(
|
||||
benchmark_returns,
|
||||
@@ -270,8 +270,7 @@ class FinanceTestCase(TestCase):
|
||||
|
||||
order_date = start_date
|
||||
for i in xrange(order_count):
|
||||
order = ndict(
|
||||
{
|
||||
order = ndict({
|
||||
'sid': sid,
|
||||
'amount': order_amount * alternator ** i,
|
||||
'dt': order_date
|
||||
|
||||
@@ -30,7 +30,7 @@ class PerformanceTestCase(unittest.TestCase):
|
||||
|
||||
def setUp(self):
|
||||
self.benchmark_returns, self.treasury_curves = \
|
||||
factory.load_market_data()
|
||||
factory.load_market_data()
|
||||
|
||||
for n in range(100):
|
||||
|
||||
@@ -127,8 +127,7 @@ check treasury and benchmark data in findb, and re-run the test."""
|
||||
"last sale should be same as last trade. \
|
||||
expected {exp} actual {act}".format(
|
||||
exp=trades[-1]['price'],
|
||||
act=pp.positions[1].last_sale_price
|
||||
)
|
||||
act=pp.positions[1].last_sale_price)
|
||||
)
|
||||
|
||||
self.assertEqual(
|
||||
@@ -446,8 +445,7 @@ shares in position"
|
||||
pp.positions[1].last_sale_price,
|
||||
trades[-1].price,
|
||||
"should have a last sale of 12, got {val}".format(
|
||||
val=pp.positions[1].last_sale_price
|
||||
)
|
||||
val=pp.positions[1].last_sale_price)
|
||||
)
|
||||
|
||||
self.assertEqual(
|
||||
|
||||
+254
-40
@@ -38,7 +38,7 @@ class Risk(unittest.TestCase):
|
||||
year=2006, month=12, day=31, tzinfo=pytz.utc)
|
||||
|
||||
self.benchmark_returns, self.treasury_curves = \
|
||||
factory.load_market_data()
|
||||
factory.load_market_data()
|
||||
|
||||
self.trading_env = TradingEnvironment(
|
||||
self.benchmark_returns,
|
||||
@@ -768,46 +768,260 @@ class Risk(unittest.TestCase):
|
||||
period_length=period_length,
|
||||
start_date=start_date,
|
||||
end=col[-1].end_date,
|
||||
actual=len(col)
|
||||
))
|
||||
actual=len(col))
|
||||
)
|
||||
self.assert_month(start_date.month, col[-1].end_date.month)
|
||||
self.assert_last_day(col[-1].end_date)
|
||||
|
||||
RETURNS = [
|
||||
0.0093, -0.0193, 0.0351, 0.0396, 0.0338, -0.0211, 0.0389,
|
||||
0.0326, -0.0137, -0.0411, -0.0032, 0.0149, 0.0133, 0.0348,
|
||||
0.042, -0.0455, 0.0262, -0.0461, 0.0021, -0.0273, -0.0429,
|
||||
0.0427, -0.0104, 0.0346, -0.0311, 0.0003, 0.0211, 0.0248,
|
||||
-0.0215, 0.004, 0.0267, 0.0029, -0.0369, 0.0057, 0.0298,
|
||||
-0.0179, -0.0361, -0.0401, -0.0123, -0.005, 0.0203, -0.041,
|
||||
0.0011, 0.0118, 0.0103, -0.0184, -0.0437, 0.0411, -0.0242,
|
||||
-0.0054, -0.0039, -0.0273, -0.0075, 0.0064, -0.0376, 0.0424,
|
||||
0.0399, 0.019, 0.0236, -0.0284, -0.0341, 0.0266, 0.05,
|
||||
0.0069, -0.0442, -0.016, 0.0173, 0.0348, -0.0404, -0.0068,
|
||||
-0.0376, 0.0356, 0.0043, -0.0481, -0.0134, 0.0257, 0.0442,
|
||||
0.0234, 0.0394, 0.0376, -0.0147, -0.0098, 0.0474, -0.0102,
|
||||
0.0138, 0.0286, 0.0347, 0.0279, -0.0067, 0.0462, -0.0432,
|
||||
0.0247, 0.0174, -0.0305, -0.0317, -0.0068, 0.0264, -0.0257,
|
||||
-0.0328, 0.0092, 0.0288, -0.002, 0.0288, 0.028, -0.0093,
|
||||
0.0178, -0.0365, -0.0086, -0.0133, -0.0309, 0.0473, -0.0149,
|
||||
0.0378, -0.0316, -0.0292, -0.0453, -0.0451, 0.0093, 0.0397,
|
||||
-0.0361, -0.0168, -0.0494, -0.0143, -0.0405, -0.0349, 0.0069,
|
||||
0.0378, -0.0233, -0.0492, 0.018, -0.0386, 0.0339, 0.0119,
|
||||
0.0454, 0.0118, -0.011, -0.0254, 0.0266, -0.0366, -0.0211,
|
||||
0.0399, 0.0307, 0.035, -0.0402, 0.0304, -0.0031, 0.0256,
|
||||
0.0134, -0.0019, -0.0235, -0.0058, -0.0117, 0.0051, -0.0451,
|
||||
-0.0466, -0.0124, 0.0283, -0.0499, 0.0318, -0.0028, 0.0203,
|
||||
0.005, 0.0085, 0.0048, 0.0277, 0.0159, -0.0149, 0.035,
|
||||
0.0404, -0.01, 0.0377, 0.0302, 0.0046, -0.0328, -0.0469,
|
||||
0.0071, -0.0382, -0.0214, 0.0429, 0.0145, -0.0279, -0.0172,
|
||||
0.0423, 0.041, -0.0183, 0.0137, -0.0412, -0.0348, 0.0302,
|
||||
0.0248, 0.0051, -0.0298, -0.0103, -0.0333, -0.0399, 0.0485,
|
||||
-0.0166, 0.0384, 0.0259, -0.0163, 0.0357, 0.0308, -0.0386,
|
||||
0.0481, -0.0446, -0.0282, -0.0037, 0.0202, 0.0216, 0.0113,
|
||||
0.0194, 0.0392, 0.0016, 0.0268, -0.0155, -0.027, 0.02,
|
||||
0.0216, -0.0009, 0.022, 0., 0.041, 0.0133, -0.0382,
|
||||
0.0495, -0.0221, -0.0329, -0.0033, -0.0089, -0.0129, -0.0252,
|
||||
0.048, -0.0307, -0.0357, 0.0033, -0.0412, -0.0407, 0.0455,
|
||||
0.0159, -0.0051, -0.0274, -0.0213, 0.0361, 0.0051, -0.0378,
|
||||
0.0084, 0.0066, -0.0103, -0.0037, 0.0478, -0.0278
|
||||
]
|
||||
0.0093,
|
||||
-0.0193,
|
||||
0.0351,
|
||||
0.0396,
|
||||
0.0338,
|
||||
-0.0211,
|
||||
0.0389,
|
||||
0.0326,
|
||||
-0.0137,
|
||||
-0.0411,
|
||||
-0.0032,
|
||||
0.0149,
|
||||
0.0133,
|
||||
0.0348,
|
||||
0.042,
|
||||
-0.0455,
|
||||
0.0262,
|
||||
-0.0461,
|
||||
0.0021,
|
||||
-0.0273,
|
||||
-0.0429,
|
||||
0.0427,
|
||||
-0.0104,
|
||||
0.0346,
|
||||
-0.0311,
|
||||
0.0003,
|
||||
0.0211,
|
||||
0.0248,
|
||||
-0.0215,
|
||||
0.004,
|
||||
0.0267,
|
||||
0.0029,
|
||||
-0.0369,
|
||||
0.0057,
|
||||
0.0298,
|
||||
-0.0179,
|
||||
-0.0361,
|
||||
-0.0401,
|
||||
-0.0123,
|
||||
-0.005,
|
||||
0.0203,
|
||||
-0.041,
|
||||
0.0011,
|
||||
0.0118,
|
||||
0.0103,
|
||||
-0.0184,
|
||||
-0.0437,
|
||||
0.0411,
|
||||
-0.0242,
|
||||
-0.0054,
|
||||
-0.0039,
|
||||
-0.0273,
|
||||
-0.0075,
|
||||
0.0064,
|
||||
-0.0376,
|
||||
0.0424,
|
||||
0.0399,
|
||||
0.019,
|
||||
0.0236,
|
||||
-0.0284,
|
||||
-0.0341,
|
||||
0.0266,
|
||||
0.05,
|
||||
0.0069,
|
||||
-0.0442,
|
||||
-0.016,
|
||||
0.0173,
|
||||
0.0348,
|
||||
-0.0404,
|
||||
-0.0068,
|
||||
-0.0376,
|
||||
0.0356,
|
||||
0.0043,
|
||||
-0.0481,
|
||||
-0.0134,
|
||||
0.0257,
|
||||
0.0442,
|
||||
0.0234,
|
||||
0.0394,
|
||||
0.0376,
|
||||
-0.0147,
|
||||
-0.0098,
|
||||
0.0474,
|
||||
-0.0102,
|
||||
0.0138,
|
||||
0.0286,
|
||||
0.0347,
|
||||
0.0279,
|
||||
-0.0067,
|
||||
0.0462,
|
||||
-0.0432,
|
||||
0.0247,
|
||||
0.0174,
|
||||
-0.0305,
|
||||
-0.0317,
|
||||
-0.0068,
|
||||
0.0264,
|
||||
-0.0257,
|
||||
-0.0328,
|
||||
0.0092,
|
||||
0.0288,
|
||||
-0.002,
|
||||
0.0288,
|
||||
0.028,
|
||||
-0.0093,
|
||||
0.0178,
|
||||
-0.0365,
|
||||
-0.0086,
|
||||
-0.0133,
|
||||
-0.0309,
|
||||
0.0473,
|
||||
-0.0149,
|
||||
0.0378,
|
||||
-0.0316,
|
||||
-0.0292,
|
||||
-0.0453,
|
||||
-0.0451,
|
||||
0.0093,
|
||||
0.0397,
|
||||
-0.0361,
|
||||
-0.0168,
|
||||
-0.0494,
|
||||
-0.0143,
|
||||
-0.0405,
|
||||
-0.0349,
|
||||
0.0069,
|
||||
0.0378,
|
||||
-0.0233,
|
||||
-0.0492,
|
||||
0.018,
|
||||
-0.0386,
|
||||
0.0339,
|
||||
0.0119,
|
||||
0.0454,
|
||||
0.0118,
|
||||
-0.011,
|
||||
-0.0254,
|
||||
0.0266,
|
||||
-0.0366,
|
||||
-0.0211,
|
||||
0.0399,
|
||||
0.0307,
|
||||
0.035,
|
||||
-0.0402,
|
||||
0.0304,
|
||||
-0.0031,
|
||||
0.0256,
|
||||
0.0134,
|
||||
-0.0019,
|
||||
-0.0235,
|
||||
-0.0058,
|
||||
-0.0117,
|
||||
0.0051,
|
||||
-0.0451,
|
||||
-0.0466,
|
||||
-0.0124,
|
||||
0.0283,
|
||||
-0.0499,
|
||||
0.0318,
|
||||
-0.0028,
|
||||
0.0203,
|
||||
0.005,
|
||||
0.0085,
|
||||
0.0048,
|
||||
0.0277,
|
||||
0.0159,
|
||||
-0.0149,
|
||||
0.035,
|
||||
0.0404,
|
||||
-0.01,
|
||||
0.0377,
|
||||
0.0302,
|
||||
0.0046,
|
||||
-0.0328,
|
||||
-0.0469,
|
||||
0.0071,
|
||||
-0.0382,
|
||||
-0.0214,
|
||||
0.0429,
|
||||
0.0145,
|
||||
-0.0279,
|
||||
-0.0172,
|
||||
0.0423,
|
||||
0.041,
|
||||
-0.0183,
|
||||
0.0137,
|
||||
-0.0412,
|
||||
-0.0348,
|
||||
0.0302,
|
||||
0.0248,
|
||||
0.0051,
|
||||
-0.0298,
|
||||
-0.0103,
|
||||
-0.0333,
|
||||
-0.0399,
|
||||
0.0485,
|
||||
-0.0166,
|
||||
0.0384,
|
||||
0.0259,
|
||||
-0.0163,
|
||||
0.0357,
|
||||
0.0308,
|
||||
-0.0386,
|
||||
0.0481,
|
||||
-0.0446,
|
||||
-0.0282,
|
||||
-0.0037,
|
||||
0.0202,
|
||||
0.0216,
|
||||
0.0113,
|
||||
0.0194,
|
||||
0.0392,
|
||||
0.0016,
|
||||
0.0268,
|
||||
-0.0155,
|
||||
-0.027,
|
||||
0.02,
|
||||
0.0216,
|
||||
-0.0009,
|
||||
0.022,
|
||||
0.0,
|
||||
0.041,
|
||||
0.0133,
|
||||
-0.0382,
|
||||
0.0495,
|
||||
-0.0221,
|
||||
-0.0329,
|
||||
-0.0033,
|
||||
-0.0089,
|
||||
-0.0129,
|
||||
-0.0252,
|
||||
0.048,
|
||||
-0.0307,
|
||||
-0.0357,
|
||||
0.0033,
|
||||
-0.0412,
|
||||
-0.0407,
|
||||
0.0455,
|
||||
0.0159,
|
||||
-0.0051,
|
||||
-0.0274,
|
||||
-0.0213,
|
||||
0.0361,
|
||||
0.0051,
|
||||
-0.0378,
|
||||
0.0084,
|
||||
0.0066,
|
||||
-0.0103,
|
||||
-0.0037,
|
||||
0.0478,
|
||||
-0.0278]
|
||||
|
||||
@@ -44,7 +44,7 @@ class RiskCompareIterativeToBatch(unittest.TestCase):
|
||||
self.end_date = datetime.datetime(
|
||||
year=2006, month=12, day=31, tzinfo=pytz.utc)
|
||||
self.benchmark_returns, self.treasury_curves = \
|
||||
factory.load_market_data()
|
||||
factory.load_market_data()
|
||||
|
||||
self.trading_env = TradingEnvironment(
|
||||
self.benchmark_returns,
|
||||
@@ -115,8 +115,8 @@ class RiskCompareIterativeToBatch(unittest.TestCase):
|
||||
self.assertEqual(set(risk_original_dict.keys()),
|
||||
set(risk_refactor_dict.keys()))
|
||||
|
||||
err_msg_format = \
|
||||
"In update step {iter}: {measure} should be {truth} but is {returned}!"
|
||||
err_msg_format = """\
|
||||
"In update step {iter}: {measure} should be {truth} but is {returned}!"""
|
||||
|
||||
for measure in risk_original_dict.iterkeys():
|
||||
if measure == 'max_drawdown':
|
||||
|
||||
@@ -35,4 +35,4 @@ class TestDataFrameSource(TestCase):
|
||||
_, df = factory.create_test_df_source()
|
||||
source = DataFrameSource(df, sids=[0])
|
||||
assert 1 not in [event.sid for event in source], \
|
||||
"DataFrameSource should only stream selected sid 0, not sid 1."
|
||||
"DataFrameSource should only stream selected sid 0, not sid 1."
|
||||
|
||||
@@ -294,7 +294,7 @@ class FinanceTransformsTestCase(TestCase):
|
||||
np.std([10.0, 15.0], ddof=1),
|
||||
np.std([10.0, 15.0, 13.0], ddof=1),
|
||||
np.std([15.0, 13.0, 12.0], ddof=1),
|
||||
]
|
||||
]
|
||||
|
||||
# np has odd rounding behavior, cf.
|
||||
# http://docs.scipy.org/doc/np/reference/generated/np.std.html
|
||||
|
||||
Reference in New Issue
Block a user