Enable flake8 E226 rule
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@@ -390,8 +390,8 @@ class HyperoptTools():
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lambda x: '{} {}'.format(
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round_coin_value(x['Total profit'], stake_currency, keep_trailing_zeros=True),
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f"({x['Profit']:,.2%})".rjust(10, ' ')
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).rjust(25+len(stake_currency))
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if x['Total profit'] != 0.0 else '--'.rjust(25+len(stake_currency)),
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).rjust(25 + len(stake_currency))
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if x['Total profit'] != 0.0 else '--'.rjust(25 + len(stake_currency)),
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axis=1
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)
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trials = trials.drop(columns=['Total profit'])
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@@ -399,11 +399,11 @@ class HyperoptTools():
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if print_colorized:
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for i in range(len(trials)):
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if trials.loc[i]['is_profit']:
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for j in range(len(trials.loc[i])-3):
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for j in range(len(trials.loc[i]) - 3):
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trials.iat[i, j] = "{}{}{}".format(Fore.GREEN,
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str(trials.loc[i][j]), Fore.RESET)
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if trials.loc[i]['is_best'] and highlight_best:
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for j in range(len(trials.loc[i])-3):
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for j in range(len(trials.loc[i]) - 3):
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trials.iat[i, j] = "{}{}{}".format(Style.BRIGHT,
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str(trials.loc[i][j]), Style.RESET_ALL)
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@@ -459,7 +459,7 @@ class HyperoptTools():
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'loss', 'is_initial_point', 'is_best']
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perc_multi = 100
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param_metrics = [("params_dict."+param) for param in results[0]['params_dict'].keys()]
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param_metrics = [("params_dict." + param) for param in results[0]['params_dict'].keys()]
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trials = trials[base_metrics + param_metrics]
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base_columns = ['Best', 'Epoch', 'Trades', 'Avg profit', 'Median profit', 'Total profit',
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