chore(Linter): reformatted code with black (#211)

* chore(Linter): reformatted code with black

* Create black.yaml

feature_extractors/feature_extractor_presets.py

@@ -1,35 +1,55 @@
-
 from .types import FeatureExtractorConfig
-from .feature_extractors import feature_lag, feature_mom, feature_ROC, feature_RSI, feature_STOD, feature_STOK, feature_expanding_zscore, feature_vol, feature_day_of_month, feature_day_of_week, feature_month, feature_debug_future_lookahead
-from .fractional_differentiation import feature_fractional_differentiation, feature_fractional_differentiation_log
+from .feature_extractors import (
+    feature_lag,
+    feature_mom,
+    feature_ROC,
+    feature_RSI,
+    feature_STOD,
+    feature_STOK,
+    feature_expanding_zscore,
+    feature_vol,
+    feature_day_of_month,
+    feature_day_of_week,
+    feature_month,
+    feature_debug_future_lookahead,
+)
+from .fractional_differentiation import (
+    feature_fractional_differentiation,
+    feature_fractional_differentiation_log,
+)
 
 __presets = dict(
-    debug_future_lookahead = [('debug_future', feature_debug_future_lookahead, [1])],
-    single_mom = [('mom', feature_mom, [30])],
-    single_vol = [('vol', feature_vol, [30])],
-    mom = [('mom', feature_mom, [10, 20, 30, 60, 90])],
-    vol = [('vol', feature_vol, [10, 20, 30, 60])],
-    lags_up_to_5 = [('lag', feature_lag, [1,2,3,4,5])],
-    lags_up_to_10 = [('lag', feature_lag, [1,2,3,4,5,6,7,8,9,10])],
-    date_all = [
-        ('day_of_week', feature_day_of_week, [0]),
-        ('day_of_month', feature_day_of_month, [0]),
-        ('month', feature_month, [0])],
-    date_days = [
-        ('day_of_week', feature_day_of_week, [0]),
-        ('day_of_month', feature_day_of_month, [0]),
+    debug_future_lookahead=[("debug_future", feature_debug_future_lookahead, [1])],
+    single_mom=[("mom", feature_mom, [30])],
+    single_vol=[("vol", feature_vol, [30])],
+    mom=[("mom", feature_mom, [10, 20, 30, 60, 90])],
+    vol=[("vol", feature_vol, [10, 20, 30, 60])],
+    lags_up_to_5=[("lag", feature_lag, [1, 2, 3, 4, 5])],
+    lags_up_to_10=[("lag", feature_lag, [1, 2, 3, 4, 5, 6, 7, 8, 9, 10])],
+    date_all=[
+        ("day_of_week", feature_day_of_week, [0]),
+        ("day_of_month", feature_day_of_month, [0]),
+        ("month", feature_month, [0]),
     ],
-    roc = [('roc', feature_ROC, [10, 30])],
-    rsi = [('rsi', feature_ROC, [10, 30, 100])],
-    stod = [('stod', feature_STOD, [10, 30, 200])],
-    stok = [('stok', feature_STOK, [10, 30, 200])],
-    fracdiff = [('fracdiff', feature_fractional_differentiation, [10, 30])],
-    fracdiff_log = [('fracdiff_log', feature_fractional_differentiation_log, [10, 30])],
-    z_score = [('z_score', feature_expanding_zscore, [10])],
+    date_days=[
+        ("day_of_week", feature_day_of_week, [0]),
+        ("day_of_month", feature_day_of_month, [0]),
+    ],
+    roc=[("roc", feature_ROC, [10, 30])],
+    rsi=[("rsi", feature_ROC, [10, 30, 100])],
+    stod=[("stod", feature_STOD, [10, 30, 200])],
+    stok=[("stok", feature_STOK, [10, 30, 200])],
+    fracdiff=[("fracdiff", feature_fractional_differentiation, [10, 30])],
+    fracdiff_log=[("fracdiff_log", feature_fractional_differentiation_log, [10, 30])],
+    z_score=[("z_score", feature_expanding_zscore, [10])],
 )
 
 presets = __presets | dict(
-    level_1 = __presets["mom"] + __presets["vol"],
-    level_2 = __presets["mom"] + __presets["vol"] + __presets["roc"] + __presets["rsi"] + __presets["stod"] + __presets["stok"],
+    level_1=__presets["mom"] + __presets["vol"],
+    level_2=__presets["mom"]
+    + __presets["vol"]
+    + __presets["roc"]
+    + __presets["rsi"]
+    + __presets["stod"]
+    + __presets["stok"],
 )
-