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test: update test
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@@ -101,8 +101,6 @@ def test_merge_informative_pair_monthly():
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candle1 = result.loc[(result["date"] == "2022-12-31T22:00:00.000Z")]
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assert candle1.iloc[0]["date"] == pd.Timestamp("2022-12-31T22:00:00.000Z")
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assert candle1.iloc[0]["date_1M"] == pd.Timestamp("2022-11-01T00:00:00.000Z")
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prev_m_vol = informative.loc[informative["date"] == "2022-11-01T00:00:00.000", "volume"]
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assert candle1.iloc[0]["volume_1M"] == prev_m_vol.iloc[0]
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candle2 = result.loc[(result["date"] == "2022-12-31T23:00:00.000Z")]
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assert candle2.iloc[0]["date"] == pd.Timestamp("2022-12-31T23:00:00.000Z")
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@@ -111,14 +109,20 @@ def test_merge_informative_pair_monthly():
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# Candle is empty, as the start-date did fail.
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candle3 = result.loc[(result["date"] == "2022-11-30T22:00:00.000Z")]
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assert candle3.iloc[0]["date"] == pd.Timestamp("2022-11-30T22:00:00.000Z")
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prev_m_vol = informative.loc[informative["date"] == "2022-10-01 00:00:00+00:00", "volume"]
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assert candle3.iloc[0]["volume_1M"] == prev_m_vol.iloc[0]
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# Merged on prior month
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assert candle3.iloc[0]["date_1M"] == pd.Timestamp("2022-10-01T00:00:00.000Z")
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# First candle with 1M data merged.
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candle4 = result.loc[(result["date"] == "2022-11-30T23:00:00.000Z")]
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assert candle4.iloc[0]["date"] == pd.Timestamp("2022-11-30T23:00:00.000Z")
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assert candle4.iloc[0]["date_1M"] == pd.Timestamp("2022-11-01T00:00:00.000Z")
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# Very first candle in the result dataframe
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# Merged the latest informative candle before the start-date
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candle5 = result.iloc[0]
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assert candle5["date"] == pd.Timestamp("2022-11-28T00:00:00.000Z")
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assert candle5["date_1M"] == pd.Timestamp("2022-10-01T00:00:00.000Z")
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def test_merge_informative_pair_same():
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data = generate_test_data("15m", 40)
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