273 lines
9.5 KiB
Python
273 lines
9.5 KiB
Python
import numpy as np
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import os
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from S_run_bf_polyfit import run_bf_polyfit
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def get_acos(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.arccos(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "acos")
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except:
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return PA
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return PA
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def get_asin(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.arcsin(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "asin")
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except:
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return PA
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return PA
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def get_atan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.arctan(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "atan")
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except:
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return PA
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return PA
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def get_cos(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.cos(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "cos")
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except:
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return PA
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return PA
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def get_exp(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.exp(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "exp")
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except:
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return PA
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return PA
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def get_inverse(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,1/f_dependent))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "inverse")
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except:
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return PA
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return PA
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def get_log(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.log(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "log")
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except:
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return PA
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return PA
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def get_sin(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.sin(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "sin")
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except:
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return PA
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return PA
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def get_sqrt(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.sqrt(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "sqrt")
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except:
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return PA
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return PA
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def get_squared(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,f_dependent**2))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "squared")
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except:
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return PA
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return PA
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def get_tan(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg=4):
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try:
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os.mkdir(pathdir_write_to)
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except:
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pass
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try:
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n_variables = np.loadtxt(pathdir+"%s" %filename, dtype='str').shape[1]-1
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variables = np.loadtxt(pathdir+"%s" %filename, usecols=(0,))
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for j in range(1,n_variables):
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v = np.loadtxt(pathdir+"%s" %filename, usecols=(j,))
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variables = np.column_stack((variables,v))
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f_dependent = np.loadtxt(pathdir+"%s" %filename, usecols=(n_variables,))
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dt = np.column_stack((variables,np.tan(f_dependent)))
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np.savetxt(pathdir_write_to+filename,dt)
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PA = run_bf_polyfit(pathdir,pathdir_write_to,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg, "tan")
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except:
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return PA
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return PA
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