From d23079f8375a55f05729400f014480fc61585d8e Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Sat, 10 Feb 2024 20:13:17 +0100
Subject: [PATCH] improve tests slighly

---
 freqtrade/exchange/exchange.py             |  4 +---
 tests/data/test_converter_public_trades.py | 28 +++++++++++-----------
 2 files changed, 15 insertions(+), 17 deletions(-)

diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py
index 3e053fbfe..357150fe5 100644
--- a/freqtrade/exchange/exchange.py
+++ b/freqtrade/exchange/exchange.py
@@ -2407,9 +2407,7 @@ class Exchange:
             # fetch trades asynchronously
             if params:
                 logger.debug("Fetching trades for pair %s, params: %s ", pair, params)
-                trades = await self._api_async.fetch_trades(pair,
-                                                            params=params,
-                                                            limit=candle_limit)
+                trades = await self._api_async.fetch_trades(pair, params=params, limit=candle_limit)
             else:
                 logger.debug(
                     "Fetching trades for pair %s, since %s %s...",
diff --git a/tests/data/test_converter_public_trades.py b/tests/data/test_converter_public_trades.py
index a30a874c9..c005728f8 100644
--- a/tests/data/test_converter_public_trades.py
+++ b/tests/data/test_converter_public_trades.py
@@ -142,20 +142,20 @@ def test_public_trades_trades_mock_populate_dataframe_with_trades__check_trades(
         }
     df = populate_dataframe_with_trades(config,
                                         dataframe, trades, pair='unitttest')
-    result = df.iloc[0]
-    assert result.index.values.tolist() == ['date', 'open', 'high', 'low',
-                                            'close', 'volume', 'trades', 'orderflow',
-                                            'bid', 'ask', 'delta', 'min_delta',
-                                            'max_delta', 'total_trades',
-                                            'stacked_imbalances_bid',
-                                            'stacked_imbalances_ask']
+    row = df.iloc[0]
+    assert list(df.columns) == ['date', 'open', 'high', 'low',
+                                'close', 'volume', 'trades', 'orderflow',
+                                'bid', 'ask', 'delta', 'min_delta',
+                                'max_delta', 'total_trades',
+                                'stacked_imbalances_bid',
+                                'stacked_imbalances_ask']
 
-    assert -50.519000000000005 == result['delta']
-    assert 219.961 == result['bid']
-    assert 169.442 == result['ask']
+    assert -50.519 == pytest.approx(row['delta'])
+    assert 219.961 == row['bid']
+    assert 169.442 == row['ask']
 
-    assert 151 == len(result.trades)
-    t = result['trades'].iloc[0]
+    assert 151 == len(row.trades)
+    t = row['trades'].iloc[0]
     assert trades['id'][0] == t["id"]
     assert int(trades['timestamp'][0]) == int(t['timestamp'])
     assert 'sell' == t['side']
@@ -195,7 +195,7 @@ def test_public_trades_binned_big_sample_list(public_trades_list):
     assert 197.512 == df['bid_amount'].iat[0]  # bid
     assert 88.98 == df['ask_amount'].iat[0]  # ask
     assert 26 == df['ask'].iat[0]  # ask
-    assert -108.53200000000001 == df['delta'].iat[0]  # delta
+    assert -108.532 == pytest.approx(df['delta'].iat[0])  # delta
     assert 3 == df['bid'].iat[-1]  # bid
     assert 50.659 == df['bid_amount'].iat[-1]  # bid
     assert 108.21 == df['ask_amount'].iat[-1]  # ask
@@ -219,7 +219,7 @@ def test_public_trades_binned_big_sample_list(public_trades_list):
     # bid assert 763.7 == df['ask'].iat[0]  # ask
     assert 710.98 == df['bid_amount'].iat[0]
     assert 111 == df['bid'].iat[0]
-    assert 52.71999999999997 == df['delta'].iat[0]  # delta
+    assert 52.7199999 == pytest.approx(df['delta'].iat[0])  # delta
     # assert 50.659 == df['bid'].iat[-1]  # bid
     # assert 108.21 == df['ask'].iat[-1]  # ask
     # assert 57.551 == df['delta'].iat[-1]  # delta