mirror of
https://github.com/titanscouting/tra-superscript.git
synced 2025-01-04 21:55:56 +00:00
parent
a1fb295a1a
commit
f8f8543ea2
@ -177,11 +177,22 @@ sample_json = """{
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"synchronize-config":false
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"synchronize-config":false
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},
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},
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"variable":{
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"variable":{
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"max-threads":0.5,
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"max-threads":0.5,
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"competition":"",
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"team":"",
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"team":"",
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"competition": "2020ilch",
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"statistics":{
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"event-delay":false,
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"loop-delay":0,
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"reportable":true,
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"teams":[],
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"modules":{
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"match":{
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"match":{
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"tests":{
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"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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@ -189,9 +200,12 @@ sample_json = """{
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"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
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"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
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}
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},
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},
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"metric":{
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"metric":{
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"tests":{
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"elo":{
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"elo":{
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"score":1500,
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"score":1500,
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"N":400,
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"N":400,
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@ -206,8 +220,11 @@ sample_json = """{
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"mu":25,
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"mu":25,
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"sigma":8.33
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"sigma":8.33
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}
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}
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}
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},
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},
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"pit":{
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"pit":{
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"tests":{
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"wheel-mechanism":true,
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"wheel-mechanism":true,
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"low-balls":true,
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"low-balls":true,
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"high-balls":true,
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"high-balls":true,
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@ -216,9 +233,8 @@ sample_json = """{
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"climb-mechanism":true,
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"climb-mechanism":true,
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"attitude":true
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"attitude":true
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}
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}
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},
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}
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"event-delay":false,
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}
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"loop-delay":60
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}
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}
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}"""
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}"""
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