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https://github.com/titanscouting/tra-superscript.git
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superscript v 0.8.4
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commit
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@ -3,10 +3,14 @@
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# Notes:
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# setup:
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__version__ = "0.8.3"
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__version__ = "0.8.4"
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# changelog should be viewed using print(analysis.__changelog__)
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__changelog__ = """changelog:
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0.84:
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- added better error message for missing config.json
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- added automatic config.json creation
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- added splash text with version and system info
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0.8.3:
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- updated matchloop with new regression format (requires tra_analysis 3.x)
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0.8.2:
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@ -132,6 +136,7 @@ import os
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from os import system, name
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from pathlib import Path
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from multiprocessing import Pool
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import platform
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import matplotlib.pyplot as plt
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from concurrent.futures import ThreadPoolExecutor
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import time
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@ -145,6 +150,8 @@ def main():
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warnings.filterwarnings("ignore")
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splash()
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while (True):
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current_time = time.time()
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@ -169,7 +176,7 @@ def main():
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elif cfg_max_threads == 0:
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alloc_processes = sys_max_threads
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else:
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print("[Err] Invalid number of processes, must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads))
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print("[ERROR] Invalid number of processes, must be between -" + str(sys_max_threads) + " and " + str(sys_max_threads))
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exit()
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exec_threads = Pool(processes = alloc_processes)
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print("[OK] " + str(alloc_processes) + " threads started")
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@ -205,6 +212,8 @@ def main():
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set_current_time(apikey, current_time)
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print("[OK] finished all tests, looping")
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print_hrule()
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#clear()
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def clear():
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@ -217,11 +226,39 @@ def clear():
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else:
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_ = system('clear')
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def print_hrule():
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print("#"+38*"-"+"#")
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def print_box(s):
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temp = "|"
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temp += s
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temp += (40-len(s)-2)*" "
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temp += "|"
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print(temp)
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def splash():
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print_hrule()
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print_box(" superscript version: " + __version__)
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print_box(" os: " + platform.system())
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print_box(" python: " + platform.python_version())
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print_hrule()
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def load_config(file):
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config_vector = {}
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with open(file) as f:
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config_vector = json.load(f)
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try:
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f = open(file)
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except:
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print("[ERROR] could not locate config.json, generating blank config.json and exiting")
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f = open(file, "w")
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f.write(sample_json)
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exit()
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config_vector = json.load(f)
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return config_vector
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@ -543,4 +580,51 @@ def graph_pit_histogram(apikey, competition, figsize=(80,15)):
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plt.show()
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sample_json = """{
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"max-threads": 0.5,
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"team": "",
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"competition": "2020ilch",
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"key":{
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"database":"",
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"tba":""
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},
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"statistics":{
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"match":{
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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-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
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"balls-lower-auto":["basic_stats","historical_analysis","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-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
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},
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"metric":{
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"elo":{
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"score":1500,
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"N":400,
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"K":24
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},
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"gl2":{
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"score":1500,
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"rd":250,
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"vol":0.06
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},
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"ts":{
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"mu":25,
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"sigma":8.33
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}
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},
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"pit":{
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"wheel-mechanism":true,
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"low-balls":true,
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"high-balls":true,
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"wheel-success":true,
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"strategic-focus":true,
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"climb-mechanism":true,
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"attitude":true
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}
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}
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}"""
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main()
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