extracted fake phys

phys2denoise/tests/conftest.py

@@ -0,0 +1,14 @@
+import numpy as np
+import pytest
+
+
+@pytest.fixture(scope="module")
+def fake_phys():
+    f = 0.3
+    fs = 62.5  # sampling rate
+    t = 300
+    samples = np.arange(t * fs) / fs
+    noise = np.random.normal(0, 0.5, len(samples))
+    fake_phys = 10 * np.sin(2 * np.pi * f * samples) + noise
+    return fake_phys
+

phys2denoise/tests/test_rvt.py

@@ -1,30 +1,19 @@
 import peakdet
-import numpy as np
-import pytest
 from phys2denoise.metrics.chest_belt import rvt
 
 
-@pytest.fixture
-def fake_phys():
-    f = 0.3
-    fs = 62.5  # sampling rate
-    t = 300
-    samples = np.arange(t * fs) / fs
-    noise = np.random.normal(0, 0.5, len(samples))
-    fake_phys = 10 * np.sin(2 * np.pi * f * samples) + noise
+def test_peakdet(fake_phys):
     phys = peakdet.Physio(fake_phys, fs=62.5)
     phys = peakdet.operations.filter_physio(phys, cutoffs=3, method="lowpass")
-    return phys
-
-
-def test_peakdet(fake_phys):
-    phys = peakdet.operations.peakfind_physio(fake_phys)
+    phys = peakdet.operations.peakfind_physio(phys)
     assert phys.troughs is not None
     assert phys.peaks is not None
 
 
 def test_rvt(fake_phys):
-    phys = peakdet.operations.peakfind_physio(fake_phys)
+    phys = peakdet.Physio(fake_phys, fs=62.5)
+    phys = peakdet.operations.filter_physio(phys, cutoffs=3, method="lowpass")
+    phys = peakdet.operations.peakfind_physio(phys)
     r = rvt(phys.data, phys.peaks, phys.troughs, samplerate=phys.fs)
     assert r is not None
     assert len(r) == 18750