Fix examples to use correct API importsv2.0.2

- example.py: Update to use detect_from_wfm() instead of process_file()
- example_diffusion.py: Import diffusion functions from event_processor submodule
- Both examples now correctly use the v2.0.0 API structure

2 files changed, 19 insertions, 15 deletions

diff --git a/examples/example.py b/examples/example.py
index 06c33c5..0c79986 100644
--- a/examples/example.py
+++ b/examples/example.py
@@ -2,7 +2,7 @@ from warnings import warn
 
 import matplotlib as mpl
 
-from transivent import configure_logging, get_waveform_params, process_file
+from transivent import configure_logging, detect_from_wfm, get_waveform_params
 
 # --- User configuration dictionary ---
 CONFIG = {
@@ -72,8 +72,8 @@ def main() -> None:
         )
         sampling_interval = params["sampling_interval"]
 
-        # Call with explicit parameters
-        process_file(
+        # Call with explicit parameters using new API
+        results = detect_from_wfm(
             name=name,
             sampling_interval=sampling_interval,
             data_path=merged_config["DATA_PATH"],
@@ -88,12 +88,16 @@ def main() -> None:
             envelope_mode_limit=merged_config.get("ENVELOPE_MODE_LIMIT", 10e-3),
             sidecar=sidecar,
             crop=merged_config.get("crop"),
-            yscale_mode=merged_config.get("YSCALE_MODE", "snr"),
-            show_plots=True,
+            save_plots=True,
             filter_type=merged_config.get("FILTER_TYPE", "gaussian"),
             filter_order=merged_config.get("FILTER_ORDER", 2),
             chunk_size=merged_config.get("CHUNK_SIZE"),
         )
+        
+        # Show the plot (equivalent to old show_plots=True)
+        if results.get("plot"):
+            import matplotlib.pyplot as plt
+            plt.show()
 
 
 if __name__ == "__main__":
diff --git a/examples/example_diffusion.py b/examples/example_diffusion.py
index dc2d05e..8826d16 100644
--- a/examples/example_diffusion.py
+++ b/examples/example_diffusion.py
@@ -11,23 +11,23 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 # Import transivent functions
-from transivent import (
-    process_file,
-    get_final_events,
+from transivent import configure_logging, detect
+
+# Import building blocks from submodules
+from transivent.analysis import (
+    detect_events,
+    calculate_initial_background,
+    estimate_noise,
+    analyze_thresholds,
+)
+from transivent.event_processor import (
     process_events_for_diffusion,
     extract_event_waveforms,
     calculate_msd_parallel,
     calculate_acf,
     fit_diffusion_linear,
     plot_diffusion_comparison,
-    detect_events,
-    calculate_initial_background,
-    estimate_noise,
-    analyze_thresholds,
 )
-
-# Configure logging
-from transivent import configure_logging
 configure_logging("INFO")