Revert "Move erp functions and tests"

This reverts commit e4e332c.

mne/stats/tests/test_erp.py

@@ -8,13 +8,7 @@
 
 from mne import Epochs, read_events
 from mne.io import read_raw_fif
-from mne.stats.erp import (
-    compute_sme,
-    get_peak,
-    get_area,
-    get_frac_peak_latency,
-    get_frac_area_latency,
-)
+from mne.stats.erp import compute_sme
 
 base_dir = Path(__file__).parents[2] / "io" / "tests" / "data"
 raw = read_raw_fif(base_dir / "test_raw.fif")
@@ -25,7 +19,6 @@ def test_compute_sme():
     """Test SME computation."""
     epochs = Epochs(raw, events)
     sme = compute_sme(epochs, start=0, stop=0.1)
-    print(sme)
     assert sme.shape == (376,)
 
     with pytest.raises(TypeError, match="int or float"):
@@ -36,60 +29,3 @@ def test_compute_sme():
         compute_sme(epochs, -1.2, 0.3)
     with pytest.raises(ValueError, match="out of bounds"):
         compute_sme(epochs, -0.1, 0.8)
-
-
-def test_get_peak():
-    """Test peak computation."""
-    epochs = Epochs(raw, events)
-    evoked = epochs.average()
-    peak_df = get_peak(evoked, tmin=0, tmax=0.1)
-    evoked_pos = evoked.copy()
-    evoked_pos.data = abs(evoked_pos.data)
-    get_peak(evoked_pos, tmin=0, tmax=0.1, mode="neg", strict=False)
-
-    evoked_neg = evoked.copy()
-    evoked_neg.data = -abs(evoked_neg.data)
-    get_peak(evoked_neg, tmin=0, tmax=0.1, mode="pos", strict=False)
-
-    assert peak_df.shape == (366, 3)
-
-    with pytest.raises(ValueError, match="No negative values encountered"):
-        evoked_pos.data = abs(evoked_pos.data)
-        get_peak(evoked_pos, tmin=0, tmax=0.1, mode="neg", strict=True)
-    with pytest.raises(ValueError, match="No positive values encountered"):
-        get_peak(evoked_neg, tmin=0, tmax=0.1, mode="pos", strict=True)
-
-
-def test_get_area():
-    """Test area computation."""
-    epochs = Epochs(raw, events)
-    evoked = epochs.average()
-    area_df = get_area(evoked, tmin=0, tmax=0.1)
-    assert area_df.shape == (366, 2)
-
-
-def test_get_frac_peak_latency():
-    """Test fractional peak latency computation."""
-    epochs = Epochs(raw, events)
-    evoked = epochs.average()
-    frac_peak_df = get_frac_peak_latency(evoked, frac=0.5, tmin=0, tmax=0.1)
-    assert frac_peak_df.shape == (366, 4)
-
-    with pytest.raises(ValueError, match="No negative values encountered"):
-        evoked_pos = evoked.copy()
-        evoked_pos.data = abs(evoked_pos.data)
-        get_frac_peak_latency(evoked, frac=0.5, tmin=0,
-                              tmax=0.1, mode="neg", strict=True)
-    with pytest.raises(ValueError, match="No positive values encountered"):
-        evoked_neg = evoked.copy()
-        evoked_neg.data = -abs(evoked_neg.data)
-        get_frac_peak_latency(evoked, frac=0.5, tmin=0,
-                              tmax=0.1, mode="pos", strict=True)
-
-
-def test_get_frac_area_latency():
-    """Test fractional area latency computation."""
-    epochs = Epochs(raw, events)
-    evoked = epochs.average()
-    frac_area_df = get_frac_area_latency(evoked, frac=0.5, tmin=0, tmax=0.1)
-    assert frac_area_df.shape == (366, 3)