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[🤖] Update benchmark results
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‎results/GH-Actions/ac744837-conda-py3.10.json‎

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{"commit_hash": "ac744837f2366554f0c4dc235fcf36879b4c1345", "env_name": "conda-py3.10", "date": 1768521126000, "params": {"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", "python": "3.10"}, "python": "3.10", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"bench_climatologies.Bench_calendar_average.time_calendar_average": [[0.46724650649997557], [], "2e6b7fdbfa9b22363803965c4659d024391d3047169cb5956fbf5df9528d98cd", 1768521494010, 6.271, [0.46333], [0.4748], [0.46475], [0.47377], [1], [10]], "bench_climatologies.Bench_climate_anomaly.time_climate_anomaly": [[0.039245442000037656], [], "e7074155919de5859ee64556b2a69f99cf78232b55e308be2d40ede070f11371", 1768521497136, 0.73635, [0.039076], [0.043173], [0.039141], [0.039351], [1], [10]], 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‎results/GH-Actions/ac744837-conda-py3.13.json‎

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{"commit_hash": "ac744837f2366554f0c4dc235fcf36879b4c1345", "env_name": "conda-py3.13", "date": 1768521126000, "params": {"arch": "x64", "cpu": "2-core unknown", "machine": "GH-Actions", "os": "ubuntu-latest", "ram": "7GB", "python": "3.13"}, "python": "3.13", "requirements": {}, "env_vars": {}, "result_columns": ["result", "params", "version", "started_at", "duration", "stats_ci_99_a", "stats_ci_99_b", "stats_q_25", "stats_q_75", "stats_number", "stats_repeat", "samples", "profile"], "results": {"bench_climatologies.Bench_calendar_average.time_calendar_average": [[0.4839301244999774], [], "2e6b7fdbfa9b22363803965c4659d024391d3047169cb5956fbf5df9528d98cd", 1768521654133, 6.466, [0.47733], [0.49014], [0.48052], [0.48634], [1], [10]], "bench_climatologies.Bench_climate_anomaly.time_climate_anomaly": [[0.040760139999974854], [], "e7074155919de5859ee64556b2a69f99cf78232b55e308be2d40ede070f11371", 1768521657371, 0.74779, [0.039493], [0.042067], [0.039653], [0.041642], [1], [10]], 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