From 6afb2523e334ebbaebe5870505586c59b557278c Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:47:05 +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 c3e25ac..5e985d0 100644 --- a/src/template_code_location/repository.py +++ b/src/template_code_location/repository.py @@ -11,7 +11,7 @@ from util_services.resources import s3_resource defs = Definitions( jobs=[ - example_dataframe_demo_job, + example_job, data_processing_job, k_anonymity_job_s3, l_diversity_job_s3, From a868085ce3ed34267e235befb77d01e33bbea266 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:47:24 +0000 Subject: [PATCH 2/2] revert for demo --- src/template_code_location/ops/ops.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/src/template_code_location/ops/ops.py b/src/template_code_location/ops/ops.py index eb576e8..e929ce1 100644 --- a/src/template_code_location/ops/ops.py +++ b/src/template_code_location/ops/ops.py @@ -32,9 +32,5 @@ def transform_example_dataset(df: pd.DataFrame) -> pd.DataFrame: """Applies a simple transformation to the example dataset.""" 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