refactor: expose stats and metric in analysis module.

Author: paquiteau

src/snake/toolkit/analysis/__init__.py

@@ -0,0 +1,15 @@
+#!/usr/bin/env python
+
+from .stats import contrast_zscore, get_scores, bacc, mcc
+from .metrics import get_snr, get_snr_console_db, get_tsnr
+
+
+__all__ = [
+    "contrast_zscore",
+    "get_scores",
+    "bacc",
+    "mcc",
+    "get_snr",
+    "get_snr_console_db",
+    "get_tsnr",
+]

src/snake/toolkit/analysis/stats.py

@@ -58,30 +58,6 @@ def contrast_zscore(
     return z_image
 
 
-def get_thresh_map(
-    z_image: np.ndarray,
-    alpha: float | list[float],
-    height_control: HeightControl = "fpr",
-) -> dict[float, np.ndarray]:
-    """Get thresholded map."""
-    thresh_dict = {}
-    if not isinstance(alpha, list):
-        alphas = [alpha]
-    else:
-        alphas = alpha
-    for a in alphas:
-        if height_control == "fpr":
-            z_thresh = norm.isf(a)
-        elif height_control == "fdr":
-            z_thresh = fdr_threshold(z_image, a)
-
-        above_thresh = z_image > z_thresh
-        thresh_dict[a] = above_thresh
-    if len(alphas) == 1:
-        return thresh_dict[alphas[0]]
-    return thresh_dict
-
-
 def get_scores(
     contrast: np.ndarray, roi_mask: np.ndarray, roi_threshold: float
 ) -> dict[str, float]: