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changed sample json

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Former-commit-id: 8966900341
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Arthur Lu 2021-10-21 22:33:26 +00:00
parent a1fb295a1a
commit f8f8543ea2
1 changed files with 48 additions and 32 deletions
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80
src/cli/superscript.py
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@ -177,48 +177,64 @@ sample_json = """{
"synchronize-config":false "synchronize-config":false
}, },
"variable":{ "variable":{
"max-threads":0.5, "max-threads":0.5,
"competition":"",
"team":"", "team":"",
"competition": "2020ilch",
"statistics":{ "event-delay":false,
"loop-delay":0,
"reportable":true,
"teams":[],
"modules":{
"match":{ "match":{
"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"], "tests":{
"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"], "balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"], "balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
"balls-lower-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"], "balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"], "balls-lower-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"], "balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"] "balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
}
}, },
"metric":{ "metric":{
"elo":{ "tests":{
"score":1500, "elo":{
"N":400, "score":1500,
"K":24 "N":400,
}, "K":24
"gl2":{ },
"score":1500, "gl2":{
"rd":250, "score":1500,
"vol":0.06 "rd":250,
}, "vol":0.06
"ts":{ },
"mu":25, "ts":{
"sigma":8.33 "mu":25,
"sigma":8.33
}
} }
}, },
"pit":{ "pit":{
"wheel-mechanism":true, "tests":{
"low-balls":true, "wheel-mechanism":true,
"high-balls":true, "low-balls":true,
"wheel-success":true, "high-balls":true,
"strategic-focus":true, "wheel-success":true,
"climb-mechanism":true, "strategic-focus":true,
"attitude":true "climb-mechanism":true,
"attitude":true
}
} }
}, }
"event-delay":false,
"loop-delay":60
} }
}""" }"""