superscript.py v 0.0.0.007

This commit is contained in:
art 2020-03-03 16:01:07 -06:00
parent ae8706ac08
commit d00cf142c0

View File

@ -3,10 +3,16 @@
# Notes: # Notes:
# setup: # setup:
__version__ = "0.0.0.006" __version__ = "0.0.0.007"
# changelog should be viewed using print(analysis.__changelog__) # changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog: __changelog__ = """changelog:
0.0.0.007:
- added load_config
- optimized simpleloop for readibility
- added __all__ entries
- added simplestats engine
- pending testing
0.0.0.006: 0.0.0.006:
- fixes - fixes
0.0.0.005: 0.0.0.005:
@ -29,6 +35,11 @@ __author__ = (
) )
__all__ = [ __all__ = [
"main",
"load_config",
"simpleloop",
"simplestats",
"metricsloop"
] ]
# imports: # imports:
@ -45,7 +56,23 @@ except:
def main(): def main():
pass while(True):
config = load_config("config.csv")
simpleloop(data, config)
def load_config(file):
config_vector = {}
file = an.load_csv(file)
for line in file:
config_vector[line[0]] = line[1:]
return config_vector
def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match] def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
@ -64,8 +91,6 @@ def simpleloop(data, tests): # expects 3D array with [Team][Variable][Match]
test_vector[test] = simplestats(variable_data, test) test_vector[test] = simplestats(variable_data, test)
#test_vector[test] = None
variable_vector[variable] = test_vector variable_vector[variable] = test_vector
return_vector[team] = variable_vector return_vector[team] = variable_vector
@ -78,6 +103,29 @@ def simplestats(data, test):
return an.basic_stats(data) return an.basic_stats(data)
if(test == "historical_analysis"):
return an.histo_analysis(data)
if(test == "regression_linear"):
return an.regression('cpu', list(range(len(data))), data, ['lin'])
if(test == "regression_logarithmic"):
return an.regression('cpu', list(range(len(data))), data, ['log'])
if(test == "regression_exponential"):
return an.regression('cpu', list(range(len(data))), data, ['exp'])
if(test == "regression_polynomial"):
return an.regression('cpu', list(range(len(data))), data, ['ply'])
if(test == "regression_sigmoidal"):
return an.regression('cpu', list(range(len(data))), data, ['sig'])
def metricsloop(group_data, observations, database, tests): # listener based metrics update def metricsloop(group_data, observations, database, tests): # listener based metrics update