formatting

src/sgnts/sources/fake_series.py

@@ -144,7 +144,9 @@ class FakeSeriesSource(TSSource):
             return np.random.randn(*buf.shape)
         elif self.signal_type == "sin" or self.signal_type == "sine":
             return np.sin(
-                2 * np.pi * self.fsin
+                2
+                * np.pi
+                * self.fsin
                 * np.tile(
                     buf.tarr,
                     self.sample_shape + (1,),

src/sgnts/transforms/median.py

 from dataclasses import dataclass
-from sgnts.base import TSTransform, TSFrame, AdapterConfig, Offset
+
 import numpy
 
+from sgnts.base import AdapterConfig, Offset, TSFrame, TSTransform
+
+
 @dataclass
 class Median(TSTransform):
     """Computes a running median over the previous and afterward
@@ -12,7 +15,9 @@ class Median(TSTransform):
     def __post_init__(self):
         # FIXME: When this option is available, fill the gap buffers with nan's (instead of 0's)
         self.adapter_config = AdapterConfig(
-            overlap=self.overlap_offsets, pad_zeros_startup=False, stride=Offset.SAMPLE_STRIDE_AT_MAX_RATE
+            overlap=self.overlap_offsets,
+            pad_zeros_startup=False,
+            stride=Offset.SAMPLE_STRIDE_AT_MAX_RATE,
         )
         super().__post_init__()
         # This element is written to assume one channel, one source pad and one sink pad

tests/test_median.py

@@ -4,7 +4,7 @@ from sgn.apps import Pipeline
 from sgn.sinks import NullSink
 
 from sgnts.sources import FakeSeriesSource
-from sgnts.transforms import Median 
+from sgnts.transforms import Median
 
 
 def test_median():
@@ -40,7 +40,7 @@ def test_median():
             name="trans1",
             source_pad_names=("H1",),
             sink_pad_names=("H1",),
-            overlap_offsets=(512,0),
+            overlap_offsets=(512, 0),
         ),
         NullSink(
             name="snk1",