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https://github.com/freqtrade/freqtrade.git
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Improve backtesting tests (#256)
* test bugfix dataframe trimming * flake8 (as usual) * tests backtesting cleanup and bugfix * flake8 * test backtesting::start() * tests cleanup set() usage * tests: add missing assert
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@ -2,9 +2,11 @@
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import math
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import pandas as pd
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# from unittest.mock import MagicMock
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from freqtrade import exchange, optimize
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from freqtrade.exchange import Bittrex
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from freqtrade.optimize.backtesting import backtest, generate_text_table, get_timeframe
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# import freqtrade.optimize.backtesting as backtesting
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def test_generate_text_table():
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@ -49,77 +51,53 @@ def test_backtest_1min_ticker_interval(default_conf, mocker):
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assert not results.empty
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def trim_dataframe(df, num):
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new = dict()
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for pair, pair_data in df.items():
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new[pair] = pair_data[-num:] # last 50 rows
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def trim_dictlist(dl, num):
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new = {}
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for pair, pair_data in dl.items():
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# Can't figure out why -num wont work
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new[pair] = pair_data[num:]
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return new
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def load_data_test(what):
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data = optimize.load_data(ticker_interval=1, pairs=['BTC_UNITEST'])
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data = trim_dataframe(data, -40)
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data = trim_dictlist(data, -100)
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pair = data['BTC_UNITEST']
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datalen = len(pair)
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# Depending on the what parameter we now adjust the
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# loaded data:
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# loaded data looks:
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# pair :: [{'O': 0.123, 'H': 0.123, 'L': 0.123,
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# 'C': 0.123, 'V': 123.123,
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# 'T': '2017-11-04T23:02:00', 'BV': 0.123}]
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base = 0.001
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if what == 'raise':
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o = 0.001
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h = 0.001
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ll = 0.001
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c = 0.001
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ll -= 0.0001
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h += 0.0001
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for frame in pair:
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o += 0.0001
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h += 0.0001
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ll += 0.0001
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c += 0.0001
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# save prices rounded to satoshis
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frame['O'] = round(o, 9)
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frame['H'] = round(h, 9)
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frame['L'] = round(ll, 9)
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frame['C'] = round(c, 9)
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return {'BTC_UNITEST':
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[{'T': pair[x]['T'], # Keep old dates
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'V': pair[x]['V'], # Keep old volume
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'BV': pair[x]['BV'], # keep too
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'O': x * base, # But replace O,H,L,C
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'H': x * base + 0.0001,
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'L': x * base - 0.0001,
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'C': x * base} for x in range(0, datalen)]}
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if what == 'lower':
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o = 0.001
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h = 0.001
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ll = 0.001
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c = 0.001
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ll -= 0.0001
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h += 0.0001
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for frame in pair:
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o -= 0.0001
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h -= 0.0001
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ll -= 0.0001
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c -= 0.0001
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# save prices rounded to satoshis
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frame['O'] = round(o, 9)
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frame['H'] = round(h, 9)
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frame['L'] = round(ll, 9)
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frame['C'] = round(c, 9)
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return {'BTC_UNITEST':
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[{'T': pair[x]['T'], # Keep old dates
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'V': pair[x]['V'], # Keep old volume
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'BV': pair[x]['BV'], # keep too
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'O': 1 - x * base, # But replace O,H,L,C
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'H': 1 - x * base + 0.0001,
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'L': 1 - x * base - 0.0001,
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'C': 1 - x * base} for x in range(0, datalen)]}
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if what == 'sine':
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i = 0
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o = (2 + math.sin(i/10)) / 1000
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h = o
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ll = o
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c = o
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h += 0.0001
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ll -= 0.0001
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for frame in pair:
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o = (2 + math.sin(i/10)) / 1000
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h = (2 + math.sin(i/10)) / 1000 + 0.0001
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ll = (2 + math.sin(i/10)) / 1000 - 0.0001
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c = (2 + math.sin(i/10)) / 1000 - 0.000001
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# save prices rounded to satoshis
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frame['O'] = round(o, 9)
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frame['H'] = round(h, 9)
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frame['L'] = round(ll, 9)
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frame['C'] = round(c, 9)
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i += 1
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hz = 0.1 # frequency
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return {'BTC_UNITEST':
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[{'T': pair[x]['T'], # Keep old dates
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'V': pair[x]['V'], # Keep old volume
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'BV': pair[x]['BV'], # keep too
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'O': math.sin(x*hz) / 1000 + base, # But replace O,H,L,C
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'H': math.sin(x*hz) / 1000 + base + 0.0001,
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'L': math.sin(x*hz) / 1000 + base - 0.0001,
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'C': math.sin(x*hz) / 1000 + base} for x in range(0, datalen)]}
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return data
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@ -131,6 +109,7 @@ def simple_backtest(config, contour, num_results):
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# results :: <class 'pandas.core.frame.DataFrame'>
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assert len(results) == num_results
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# Test backtest on offline data
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# loaded by freqdata/optimize/__init__.py::load_data()
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@ -139,18 +118,42 @@ def test_backtest2(default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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data = optimize.load_data(ticker_interval=5, pairs=['BTC_ETH'])
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results = backtest(default_conf['stake_amount'], optimize.preprocess(data), 10, True)
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num_resutls = len(results)
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assert num_resutls > 0
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assert not results.empty
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def test_processed(default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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data = load_data_test('raise')
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assert optimize.preprocess(data)
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dict_of_tickerrows = load_data_test('raise')
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dataframes = optimize.preprocess(dict_of_tickerrows)
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dataframe = dataframes['BTC_UNITEST']
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cols = dataframe.columns
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# assert the dataframe got some of the indicator columns
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for col in ['close', 'high', 'low', 'open', 'date',
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'ema50', 'ao', 'macd', 'plus_dm']:
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assert col in cols
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def test_raise(default_conf, mocker):
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def test_backtest_pricecontours(default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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tests = [['raise', 359], ['lower', 0], ['sine', 1734]]
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tests = [['raise', 17], ['lower', 0], ['sine', 17]]
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for [contour, numres] in tests:
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simple_backtest(default_conf, contour, numres)
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# Please make this work, the load_config needs to be mocked
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# and cleanups.
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# def test_backtest_start(default_conf, mocker):
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# default_conf['exchange']['pair_whitelist'] = ['BTC_UNITEST']
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# mocker.patch.dict('freqtrade.main._CONF', default_conf)
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# # see https://pypi.python.org/pypi/pytest-mock/
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# # and http://www.voidspace.org.uk/python/mock/patch.html
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# # No usage example of simple function mocking,
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# # and no documentation of side_effect
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# mocker.patch('freqtrade.misc.load_config', new=lambda s, t: {})
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# args = MagicMock()
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# args.level = 10
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# #load_config('foo')
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# backtesting.start(args)
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#
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# Check what sideeffect backtstesting has done.
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# Probably need to capture standard-output and
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# check for the generated report table.
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@ -5,13 +5,6 @@ from freqtrade.main import refresh_whitelist
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# perhaps try to anticipate that by using some python package
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def assert_list_equal(l1, l2):
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for pair in l1:
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assert pair in l2
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for pair in l2:
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assert pair in l1
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def whitelist_conf():
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return {
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"stake_currency": "BTC",
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@ -53,7 +46,7 @@ def test_refresh_whitelist(mocker):
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whitelist = ['BTC_ETH', 'BTC_TKN']
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pairslist = conf['exchange']['pair_whitelist']
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# Ensure all except those in whitelist are removed
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assert_list_equal(whitelist, pairslist)
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assert set(whitelist) == set(pairslist)
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def test_refresh_whitelist_dynamic(mocker):
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whitelist = ['BTC_ETH', 'BTC_TKN']
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refresh_whitelist(whitelist)
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pairslist = conf['exchange']['pair_whitelist']
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assert_list_equal(whitelist, pairslist)
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assert set(whitelist) == set(pairslist)
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def test_refresh_whitelist_dynamic_empty(mocker):
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conf['exchange']['pair_whitelist'] = []
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refresh_whitelist(whitelist)
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pairslist = conf['exchange']['pair_whitelist']
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assert_list_equal(whitelist, pairslist)
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assert set(whitelist) == set(pairslist)
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