Cleanup some code
after deepcode.ai suggestions
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f0206a90b1
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@ -17,7 +17,7 @@ from freqtrade.state import RunMode
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logger = logging.getLogger(__name__)
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class DataProvider(object):
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class DataProvider():
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def __init__(self, config: dict, exchange: Exchange) -> None:
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self._config = config
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@ -81,11 +81,14 @@ class DataProvider(object):
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# TODO: Implement me
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pass
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def orderbook(self, pair: str, max: int):
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def orderbook(self, pair: str, maximum: int):
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"""
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return latest orderbook data
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:param pair: pair to get the data for
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:param maximum: Maximum number of orderbook entries to query
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:return: dict including bids/asks with a total of `maximum` entries.
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"""
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return self._exchange.get_order_book(pair, max)
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return self._exchange.get_order_book(pair, maximum)
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@property
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def runmode(self) -> RunMode:
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@ -69,8 +69,8 @@ def test_load_strategy(result):
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def test_load_strategy_base64(result):
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with open("freqtrade/tests/strategy/test_strategy.py", "r") as file:
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encoded_string = urlsafe_b64encode(file.read().encode("utf-8")).decode("utf-8")
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with open("freqtrade/tests/strategy/test_strategy.py", "rb") as file:
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encoded_string = urlsafe_b64encode(file.read()).decode("utf-8")
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resolver = StrategyResolver({'strategy': 'TestStrategy:{}'.format(encoded_string)})
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assert 'adx' in resolver.strategy.advise_indicators(result, {'pair': 'ETH/BTC'})
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@ -13,4 +13,4 @@ def test_talib_bollingerbands_near_zero_values():
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{'close': 0.00000014}
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])
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bollinger = ta.BBANDS(inputs, matype=0, timeperiod=2)
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assert (bollinger['upperband'][3] != bollinger['middleband'][3])
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assert bollinger['upperband'][3] != bollinger['middleband'][3]
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