Fix import of downsample_to_interval in analysis.pyv2.1.0

1 files changed, 2 insertions, 33 deletions

diff --git a/src/transivent/analysis.py b/src/transivent/analysis.py
index 6ef34d4..ad856ed 100644
--- a/src/transivent/analysis.py
+++ b/src/transivent/analysis.py
@@ -98,38 +98,7 @@ def plot_preview_image(image_path: str, title: str = "Preview Image") -> None:
         logger.warning(f"Failed to display preview image {image_path}: {e}")
 
 
-def _average_downsample(
-    t: np.ndarray, x: np.ndarray, q: int
-) -> Tuple[np.ndarray, np.ndarray]:
-    """
-    Private helper to downsample by averaging blocks of samples.
-    
-    Parameters
-    ----------
-    t : np.ndarray
-        Time array.
-    x : np.ndarray
-        Signal array.
-    q : int
-        Downsample factor (must be integer > 1).
-        
-    Returns
-    -------
-    Tuple[np.ndarray, np.ndarray]
-        Downsampled time and signal arrays.
-    """
-    if q <= 1:
-        return t, x
-        
-    n_keep = (len(x) // q) * q
-    x_reshaped = x[:n_keep].reshape(-1, q)
-    x_avg = x_reshaped.mean(axis=1)
-    
-    # Generate uniform time array
-    dt = t[1] - t[0] if len(t) > 1 else 1.0
-    t_down = np.arange(len(x_avg)) * dt * q + t[0]
-    
-    return t_down, x_avg
+
 
 
 def configure_logging(log_level: str = "INFO") -> None:
@@ -1547,7 +1516,7 @@ def detect_from_wfm(
         current_interval = t[1] - t[0] if len(t) > 1 else sampling_interval
         if target_sampling_interval != current_interval:
             logger.info(f"Resampling from {current_interval:.3e}s to {target_sampling_interval:.3e}s")
-            t, x = average_downsample_to_interval(t, x, target_sampling_interval)
+            t, x = downsample_to_interval(t, x, target_sampling_interval)
             sampling_interval = target_sampling_interval
 
     # Run analysis pipeline