From e0ba120da4bdf3eeeb33c75a89e79cd937cacada Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Wed, 17 Jun 2026 05:57:58 +0000 Subject: [PATCH 1/2] revert for demo --- src/template_code_location/repository.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/template_code_location/repository.py b/src/template_code_location/repository.py index 2aa18e9..0f9d3ee 100644 --- a/src/template_code_location/repository.py +++ b/src/template_code_location/repository.py @@ -13,7 +13,7 @@ from util_services.resources import s3_resource defs = Definitions( jobs=[ data_processing_job, - example_dataframe_demo_job, + example_job, k_anonymity_job_s3, l_diversity_job_s3, t_closeness_job_s3, From 7c028ef02f9918681e48d0391900a1790dd6b658 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Wed, 17 Jun 2026 05:58:20 +0000 Subject: [PATCH 2/2] revert for demo --- src/template_code_location/ops/ops.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/src/template_code_location/ops/ops.py b/src/template_code_location/ops/ops.py index 83826c7..ce8110e 100644 --- a/src/template_code_location/ops/ops.py +++ b/src/template_code_location/ops/ops.py @@ -33,8 +33,4 @@ def transform_example_dataset(df: pd.DataFrame) -> pd.DataFrame: df["total_price"] = df["quantity"] * df["unit_price"] - df["price_band"] = df["total_price"].apply( - lambda value: "high" if value >= 25 else "standard" - ) - return df