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Update README.md
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.ci/scripts/benchmark_tooling/README.md

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@@ -86,7 +86,7 @@ python3 .ci/scripts/benchmark_tooling/analyze_benchmark_stability.py \
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Filter by multiple private device pools and models:
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```bash
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# This fetches all private table data for models 'llama-3.2-1B' and 'mv3'
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python3 get_benchmark_analysis_data.py \
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python3 .ci/scripts/benchmark_tooling/get_benchmark_analysis_data.py \
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--startTime "2025-06-01T00:00:00" \
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--endTime "2025-06-11T00:00:00" \
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--device-pools 'apple_iphone_15_private' 'samsung_s22_private' \
@@ -97,7 +97,7 @@ Filter by specific device pool and models:
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```bash
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# This fetches all private iPhone table data for models 'llama-3.2-1B' and 'mv3',
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# and associated public iPhone data
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python3 get_benchmark_analysis_data.py \
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python3 .ci/scripts/benchmark_tooling/get_benchmark_analysis_data.py \
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--startTime "2025-06-01T00:00:00" \
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--endTime "2025-06-11T00:00:00" \
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--device-pools 'apple_iphone_15_private' \
@@ -140,22 +140,6 @@ fetcher.run(
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end_time="2025-06-17T18:00:00"
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)
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# Get results in different formats
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# As DataFrames
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df_results = fetcher.to_df()
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# Export to Excel
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fetcher.to_excel(output_dir="./results")
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# Export to CSV
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fetcher.to_csv(output_dir="./results")
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# Export to JSON
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json_path = fetcher.to_json(output_dir="./results")
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# Get raw dictionary results
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dict_results = fetcher.to_dict()
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# Use the output_data method for flexible output
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results = fetcher.output_data(output_type="excel", output_dir="./results")
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```

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