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PR-Test 2 for Eco-CI #2

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PR-Test 2 for Eco-CI #2

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@ArneTR ArneTR commented Apr 10, 2024

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github-actions bot commented Apr 10, 2024 •
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Old Energy Estimation

Eco-CI Output:

Label 🖥 avg. CPU utilization [%] 🔋 Total Energy [Joules] 🔌 avg. Power [Watts] Duration [Seconds]
Total Run 8.46233 51.2908 1.97272 44
Checkout code 7.70143 11.6399 1.93998 7
Run analysis 8.5125 15.6912 2.24161 9
Upload artifact 7.68 10.6134 1.7689 7
Upload to code-scanning 6.9 13.3463 1.90661 8

📈 Energy graph:

 
 3.61 ┤          ╭╮
 3.42 ┤          ││
 3.24 ┤          │╰╮
 3.06 ┤          │ │
 2.87 ┤          │ │
 2.69 ┤    ╭╮    │ │          ╭╮
 2.50 ┤    ││    │ │          ││
 2.32 ┤    ││    │ │          ││
 2.14 ┤    ││    │ │          ││
 1.95 ┤    ││    │ │          ││
 1.77 ┼────╯╰────╯ ╰──────────╯╰
            Watts over time

🌳 CO2 Data:
City: San Francisco, Lat: 37.783, Lon: -122.417
Carbon Intensity for this location: 98 gCO₂eq/kWh
CO2eq emitted for this job: 0.005026 gCO₂eq

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github-actions bot commented Apr 11, 2024 •
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Old Energy Estimation

Eco-CI Output:

Label 🖥 avg. CPU utilization [%] 🔋 Total Energy [Joules] 🔌 avg. Power [Watts] Duration [Seconds]
Total Run 8.58279 48.4996 2.02082 45
Checkout code 8.19 11.9334 1.98891 8
Run analysis 8.9725 15.7448 2.24926 8
Upload artifact 4.67833 8.84448 1.7689 7
Upload to code-scanning 5.04429 11.9769 1.99614 8

📈 Energy graph:

 
 3.67 ┤          ╭╮
 3.48 ┤          ││
 3.29 ┤          │╰╮
 3.10 ┤    ╭╮    │ │         ╭
 2.91 ┤    ││    │ │         │
 2.72 ┤    ││    │ │         │
 2.53 ┤    ││    │ │         │
 2.34 ┤    ││    │ │         │
 2.15 ┤    ││    │ │         │
 1.96 ┤    ││    │ │         │
 1.77 ┼────╯╰────╯ ╰─────────╯
           Watts over time

🌳 CO2 Data:
City: Chicago, Lat: 41.8819, Lon: -87.6278
Carbon Intensity for this location: 373 gCO₂eq/kWh
CO2eq emitted for this job: 0.018090 gCO₂eq

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github-actions bot commented Apr 11, 2024 •
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Old Energy Estimation

Eco-CI Output:

Label 🖥 avg. CPU utilization [%] 🔋 Total Energy [Joules] 🔌 avg. Power [Watts] Duration [Seconds]
Total Run 8.45409 51.319 1.97381 46
Checkout code 2.51 11.8396 1.97327 7
Run analysis 5.47857 15.4312 2.20445 8
Upload artifact 0.713333 10.6134 1.7689 6
Upload to code-scanning 2.25714 13.4348 1.91926 8

📈 Energy graph:

 
 3.86 ┤          ╭╮
 3.65 ┤          ││
 3.44 ┤          ││
 3.23 ┤          ││
 3.02 ┤    ╭╮    ││           ╭╮
 2.81 ┤    ││    │╰╮          ││
 2.60 ┤    ││    │ │          ││
 2.40 ┤    ││    │ │          ││
 2.19 ┤    ││    │ │          ││
 1.98 ┤    ││    │ │          ││
 1.77 ┼────╯╰────╯ ╰──────────╯╰
            Watts over time

🌳 CO2 Data:
City: San Francisco, Lat: 37.783, Lon: -122.417
Carbon Intensity for this location: 269 gCO₂eq/kWh
CO2eq emitted for this job: 0.013805 gCO₂eq

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Eco-CI Output:

Label 🖥 avg. CPU utilization [%] 🔋 Total Energy [Joules] 🔌 avg. Power [Watts] Duration [Seconds]
Total Run 8.75098 49.0414 2.04339 42
Checkout code 4.46833 12.6372 2.1062 6
Run analysis 4.51714 15.2842 2.18345 8
Upload artifact 0.2 8.84448 1.7689 5
Upload to code-scanning 2.55333 12.2756 2.04593 6

📈 Energy graph:

 
 3.79 ┤    ╭╮
 3.59 ┤    ││    ╭╮
 3.39 ┤    ││    ││          ╭
 3.19 ┤    ││    ││          │
 2.98 ┤    ││    ││          │
 2.78 ┤    ││    │╰╮         │
 2.58 ┤    ││    │ │         │
 2.38 ┤    ││    │ │         │
 2.17 ┤    ││    │ │         │
 1.97 ┤    ││    │ │         │
 1.77 ┼────╯╰────╯ ╰─────────╯
           Watts over time

🌳 CO2 Data:
City: Boydton, Lat: 36.677696, Lon: -78.37471
Carbon Intensity for this location: 339 gCO₂eq/kWh
CO2eq emitted for this job: 0.016625 gCO₂eq

This was referenced Apr 12, 2024
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