@@ -86,7 +86,7 @@ python3 .ci/scripts/benchmark_tooling/analyze_benchmark_stability.py \
8686Filter by multiple private device pools and models:
8787``` bash 
8888#  This fetches all private table data for models 'llama-3.2-1B' and 'mv3'
89- python3 get_benchmark_analysis_data.py \
89+ python3 .ci/scripts/benchmark_tooling/ get_benchmark_analysis_data.py \
9090  --startTime " 2025-06-01T00:00:00"   \
9191  --endTime " 2025-06-11T00:00:00"   \
9292  --device-pools ' apple_iphone_15_private'   ' samsung_s22_private'   \
@@ -97,7 +97,7 @@ Filter by specific device pool and models:
9797``` bash 
9898#  This fetches all private iPhone table data for models 'llama-3.2-1B' and 'mv3',
9999#  and associated public iPhone data
100- python3 get_benchmark_analysis_data.py \
100+ python3 .ci/scripts/benchmark_tooling/ get_benchmark_analysis_data.py \
101101  --startTime " 2025-06-01T00:00:00"   \
102102  --endTime " 2025-06-11T00:00:00"   \
103103  --device-pools ' apple_iphone_15_private'   \
@@ -140,22 +140,6 @@ fetcher.run(
140140    end_time = " 2025-06-17T18:00:00" 
141141)
142142
143- #  Get results in different formats
144- #  As DataFrames
145- df_results =  fetcher.to_df()
146- 
147- #  Export to Excel
148- fetcher.to_excel(output_dir = " ./results"  )
149- 
150- #  Export to CSV
151- fetcher.to_csv(output_dir = " ./results"  )
152- 
153- #  Export to JSON
154- json_path =  fetcher.to_json(output_dir = " ./results"  )
155- 
156- #  Get raw dictionary results
157- dict_results =  fetcher.to_dict()
158- 
159143#  Use the output_data method for flexible output
160144results =  fetcher.output_data(output_type = " excel"  , output_dir = " ./results"  )
161145``` 
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