From 56aedb1eb0c4804fb9c9da5e54146be97d1b9e17 Mon Sep 17 00:00:00 2001
From: Marco Romanelli <41620979+mromanelli9@users.noreply.github.com>
Date: Wed, 18 Jun 2025 17:25:08 +0200
Subject: [PATCH] refactor: set default sampling mode for perturbation to
 `weighted`

---
 src/aindo/anonymize/techniques/perturbation.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/aindo/anonymize/techniques/perturbation.py b/src/aindo/anonymize/techniques/perturbation.py
index 3f89606..6f4cc89 100644
--- a/src/aindo/anonymize/techniques/perturbation.py
+++ b/src/aindo/anonymize/techniques/perturbation.py
@@ -46,13 +46,13 @@ class PerturbationNumerical(BasePerturbation, Generic[NumericsT]):
             If not set, the range is automatically computed as the minimum and maximum of the input data.
     """
 
-    sampling_mode: SamplingMode = "uniform"
+    sampling_mode: SamplingMode = "weighted"
     perturbation_range: tuple[NumericsT, NumericsT] | None = None
 
     def __init__(
         self,
         alpha: float,
-        sampling_mode: SamplingMode = "uniform",
+        sampling_mode: SamplingMode = "weighted",
         perturbation_range: tuple[NumericsT, NumericsT] | None = None,
         **kwargs: SeedT,
     ) -> None:
@@ -113,13 +113,13 @@ class PerturbationCategorical(BasePerturbation):
             Automatically computed if not provided.
     """
 
-    sampling_mode: SamplingMode = "uniform"
+    sampling_mode: SamplingMode = "weighted"
     frequencies: dict[str, float] | None = None
 
     def __init__(
         self,
         alpha: float,
-        sampling_mode: SamplingMode = "uniform",
+        sampling_mode: SamplingMode = "weighted",
         frequencies: dict[str, float] | None = None,
         **kwargs: SeedT,
     ) -> None: