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Use dict for symbol_is_pair
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@ -163,7 +163,7 @@ def start_list_markets(args: Dict[str, Any], pairs_only: bool = False) -> None:
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tabular_data.append({'Id': v['id'], 'Symbol': v['symbol'],
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'Base': v['base'], 'Quote': v['quote'],
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'Active': market_is_active(v),
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**({'Is pair': symbol_is_pair(v['symbol'])}
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**({'Is pair': symbol_is_pair(v)}
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if not pairs_only else {})})
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if (args.get('print_one_column', False) or
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@ -214,7 +214,7 @@ class Exchange:
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if quote_currencies:
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markets = {k: v for k, v in markets.items() if v['quote'] in quote_currencies}
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if pairs_only:
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markets = {k: v for k, v in markets.items() if symbol_is_pair(v['symbol'])}
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markets = {k: v for k, v in markets.items() if symbol_is_pair(v)}
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if active_only:
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markets = {k: v for k, v in markets.items() if market_is_active(v)}
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return markets
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@ -1210,7 +1210,7 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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def symbol_is_pair(market_symbol: str, base_currency: str = None,
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def symbol_is_pair(market_symbol: Dict[str, Any], base_currency: str = None,
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quote_currency: str = None) -> bool:
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"""
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Check if the market symbol is a pair, i.e. that its symbol consists of the base currency and the
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@ -1218,10 +1218,12 @@ def symbol_is_pair(market_symbol: str, base_currency: str = None,
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it also checks that the symbol contains appropriate base and/or quote currency part before
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and after the separating character correspondingly.
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"""
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symbol_parts = market_symbol.split('/')
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symbol_parts = market_symbol['symbol'].split('/')
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return (len(symbol_parts) == 2 and
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(symbol_parts[0] == base_currency if base_currency else len(symbol_parts[0]) > 0) and
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(symbol_parts[1] == quote_currency if quote_currency else len(symbol_parts[1]) > 0))
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(market_symbol.get('base') == base_currency
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if base_currency else len(symbol_parts[0]) > 0) and
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(market_symbol.get('quote') == quote_currency
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if quote_currency else len(symbol_parts[1]) > 0))
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def market_is_active(market: Dict) -> bool:
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