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Silviu Marian Udrescu 2020-06-20 23:39:20 -04:00 • committed by GitHub
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179
Code/S_change_output.py
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@ -2,212 +2,141 @@ import numpy as np
import os
from S_run_bf_polyfit import run_bf_polyfit
def get_acos(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_acos(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.arccos(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.arccos(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "acos")
except:
return PA
return PA
def get_asin(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_asin(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.arcsin(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.arcsin(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "asin")
except:
return PA
return PA
def get_atan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_atan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.arctan(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.arctan(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "atan")
except:
return PA
return PA
def get_cos(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_cos(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.cos(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.cos(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "cos")
except:
return PA
return PA
def get_exp(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_exp(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.exp(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.exp(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "exp")
except:
return PA
return PA
def get_inverse(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_inverse(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,1/f_dependent))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = 1/data[:,-1]
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "inverse")
except:
return PA
return PA
def get_log(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_log(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.log(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.log(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "log")
except:
return PA
return PA
def get_sin(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_sin(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.sin(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.sin(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "sin")
except:
return PA
return PA
def get_sqrt(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_sqrt(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.sqrt(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.sqrt(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "sqrt")
except:
@ -216,22 +145,15 @@ def get_sqrt(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA,
return PA
def get_squared(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_squared(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,f_dependent**2))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = data[:,-1]**2
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "squared")
except:
@ -240,22 +162,15 @@ def get_squared(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type,
return PA
def get_tan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
def get_tan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3):
try:
os.mkdir(pathdir_write_to)
except:
pass
data = np.loadtxt(pathdir+filename)
try:
n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
for j in range(1,n_variables):
v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
variables = np.column_stack((variables,v))
f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
dt = np.column_stack((variables,np.tan(f_dependent)))
np.savetxt(pathdir_write_to+filename,dt)
data[:,-1] = np.tan(data[:,-1])
np.savetxt(pathdir_write_to+filename,data)
PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "tan")
except:
@ -265,9 +180,3 @@ def get_tan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA,

4
Code/S_run_bf_polyfit.py
View file

@ -20,7 +20,7 @@ from os import path
def run_bf_polyfit(pathdir,pathdir_transformed,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=3, output_type=""):
input_data = np.loadtxt(pathdir_transformed+filename)
#############################################################################################################################
if np.isnan(input_data).any()==False:
# run BF on the data (+)
print("Checking for brute force + \n")
brute_force(pathdir_transformed,filename,BF_try_time,BF_ops_file_type,"+")
@ -242,3 +242,5 @@ def run_bf_polyfit(pathdir,pathdir_transformed,filename,BF_try_time,BF_ops_file_
print(PA.get_pareto_points()[pareto_i])
return PA
else:
return PA