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removed all unessasary files,

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moved important files to folder "competition"


Former-commit-id: 59becb22abc3305a36e2876351e6c7306e3f551e
This commit is contained in:
Arthur Lu
2022-03-14 01:33:24 +00:00
parent 4836f48a34
commit 8c28c24d60
20 changed files with 0 additions and 232 deletions
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141
competition/dep.py Normal file
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# contains deprecated functions, not to be used unless nessasary!
import json
sample_json = """
{
"persistent":{
"key":{
"database":"",
"tba":"",
"tra":{
"CLIENT_ID":"",
"CLIENT_SECRET":"",
"url": ""
}
},
"config-preference":"local",
"synchronize-config":false
},
"variable":{
"max-threads":0.5,
"team":"",
"event-delay":false,
"loop-delay":0,
"reportable":true,
"teams":[
],
"modules":{
"match":{
"tests":{
"balls-blocked":[
"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-teleop":[
"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-started":[
"basic_stats",
"historical_analyss",
"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":{
"tests":{
"elo":{
"score":1500,
"N":400,
"K":24
},
"gl2":{
"score":1500,
"rd":250,
"vol":0.06
},
"ts":{
"mu":25,
"sigma":8.33
}
}
},
"pit":{
"tests":{
"wheel-mechanism":true,
"low-balls":true,
"high-balls":true,
"wheel-success":true,
"strategic-focus":true,
"climb-mechanism":true,
"attitude":true
}
}
}
}
}
"""
def load_config(path, config_vector):
try:
f = open(path, "r")
config_vector.update(json.load(f))
f.close()
return 0
except:
f = open(path, "w")
f.write(sample_json)
f.close()
return 1