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testing
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f56c85b298
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@ -176,16 +176,12 @@ def simplestats(data, test):
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if(test == "regression_sigmoidal"):
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return an.regression(list(range(len(data))), data, ['sig'])
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def push_to_database(apikey, competition, results, metrics, pit):
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def push_to_database(apikey, competition, results, pit):
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for team in results:
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d.push_team_tests_data(apikey, competition, team, results[team])
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for team in metrics:
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d.push_team_metrics_data(apikey, competition, team, metrics[team])
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for variable in pit:
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d.push_team_pit_data(apikey, competition, variable, pit[variable])
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@ -279,6 +275,14 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
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blu[team]["gl2"]["rd"] = blu[team]["gl2"]["rd"] + blu_gl2_delta["rd"]
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blu[team]["gl2"]["vol"] = blu[team]["gl2"]["vol"] + blu_gl2_delta["vol"]
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temp_vector = {}
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temp_vector.update(red)
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temp_vector.update(blu)
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for team in temp_vector:
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d.push_team_metrics_data(apikey, competition, team, temp_vector[team])
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""" not functional for now
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red_trueskill = []
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blu_trueskill = []
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@ -305,11 +309,6 @@ def metricsloop(tbakey, apikey, competition, timestamp): # listener based metric
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"""
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return_vector.update(red)
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return_vector.update(blu)
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return return_vector
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def load_metrics(apikey, competition, match, group_name):
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group = {}
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@ -334,7 +333,7 @@ def load_metrics(apikey, competition, match, group_name):
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elo = metrics["elo"]
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gl2 = metrics["gl2"]
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ts = metrics["trueskill"]
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ts = metrics["ts"]
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group[team] = {"elo": elo, "gl2": gl2, "ts": ts}
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