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https://github.com/titanscouting/tra-superscript.git
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superscript.py v 0.8.1
Signed-off-by: Arthur Lu <learthurgo@gmail.com>
This commit is contained in:
parent
71adc97277
commit
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@ -1,5 +1,5 @@
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{
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{
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"max-threads": 8,
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"max-threads": 1,
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"team": "",
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"team": "",
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"competition": "2020ilch",
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"competition": "2020ilch",
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"key":{
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"key":{
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@ -3,10 +3,12 @@
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# Notes:
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# Notes:
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# setup:
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# setup:
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__version__ = "0.8.0"
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__version__ = "0.8.1"
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# changelog should be viewed using print(analysis.__changelog__)
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# changelog should be viewed using print(analysis.__changelog__)
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__changelog__ = """changelog:
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__changelog__ = """changelog:
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0.8.1:
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- optimized matchloop further by bypassing GIL
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0.8.0:
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0.8.0:
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- added multithreading to matchloop
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- added multithreading to matchloop
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- tweaked user log
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- tweaked user log
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@ -122,6 +124,7 @@ import json
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import numpy as np
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import numpy as np
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from os import system, name
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from os import system, name
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from pathlib import Path
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from pathlib import Path
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from multiprocessing import Pool
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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from concurrent.futures import ThreadPoolExecutor
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from concurrent.futures import ThreadPoolExecutor
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import time
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import time
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@ -148,7 +151,7 @@ def main():
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print("[OK] configs loaded")
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print("[OK] configs loaded")
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print("[OK] starting threads")
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print("[OK] starting threads")
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exec_threads = ThreadPoolExecutor(max_workers = config["max-threads"])
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exec_threads = Pool(processes = config["max-threads"])
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print("[OK] threads started")
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print("[OK] threads started")
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apikey = config["key"]["database"]
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apikey = config["key"]["database"]
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@ -230,39 +233,39 @@ def load_match(apikey, competition):
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return d.get_match_data_formatted(apikey, competition)
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return d.get_match_data_formatted(apikey, competition)
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def simplestats(data_test):
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data = np.array(data_test[0])
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data = data[np.isfinite(data)]
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ranges = list(range(len(data)))
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test = data_test[1]
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if test == "basic_stats":
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return an.basic_stats(data)
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if test == "historical_analysis":
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return an.histo_analysis([ranges, data])
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if test == "regression_linear":
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return an.regression(ranges, data, ['lin'])
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if test == "regression_logarithmic":
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return an.regression(ranges, data, ['log'])
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if test == "regression_exponential":
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return an.regression(ranges, data, ['exp'])
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if test == "regression_polynomial":
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return an.regression(ranges, data, ['ply'])
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if test == "regression_sigmoidal":
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return an.regression(ranges, data, ['sig'])
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def matchloop(apikey, competition, data, tests): # expects 3D array with [Team][Variable][Match]
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def matchloop(apikey, competition, data, tests): # expects 3D array with [Team][Variable][Match]
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global exec_threads
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global exec_threads
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def simplestats(data_test):
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data = np.array(data_test[0])
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data = data[np.isfinite(data)]
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ranges = list(range(len(data)))
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test = data_test[1]
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if test == "basic_stats":
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return an.basic_stats(data)
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if test == "historical_analysis":
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return an.histo_analysis([ranges, data])
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if test == "regression_linear":
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return an.regression(ranges, data, ['lin'])
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if test == "regression_logarithmic":
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return an.regression(ranges, data, ['log'])
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if test == "regression_exponential":
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return an.regression(ranges, data, ['exp'])
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if test == "regression_polynomial":
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return an.regression(ranges, data, ['ply'])
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if test == "regression_sigmoidal":
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return an.regression(ranges, data, ['sig'])
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class AutoVivification(dict):
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class AutoVivification(dict):
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def __getitem__(self, item):
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def __getitem__(self, item):
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try:
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try:
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