repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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pyterpol | pyterpol-master/pyterpol_examples/observed_spectra_fitting/v746cas_2/ondrejov/mask_tell.py | import sys
import numpy as np
tellbase = [
[6522., 6525.5],
[6530., 6538.5],
[6541.8, 6550.37],
[6551.75, 6554.9],
[6557., 6560],
[6563.6, 6564.8],
[6568.38, 6576.3],
[6580.2, 6588.2],
[6594.2, 6596.],
[6598.8, 6603.4]
]
def remove_telluric(f):
"""
Removes intervals def... | 770 | 15.404255 | 56 | py |
pyterpol | pyterpol-master/pyterpol_examples/ObservedList/example.py | """
This example demonstrates how to prepare observations.
"""
import pyterpol
################################## BARE MINIMUM #########################################
# create a blank list
ol = pyterpol.ObservedList()
# now we are ready to attach some data - lets have a look at the data first
# the spectrum is not... | 2,934 | 34.361446 | 104 | py |
pyterpol | pyterpol-master/pyterpol_examples/StarList/example.py | """
This script demonstrates capabilities of the StarList class.
"""
import pyterpol
################################## BARE MINIMUM #########################################
# create an empty class
sl = pyterpol.StarList()
# pyterpol knows a set of parameters, which are given to a component
# these parameters are t... | 2,079 | 31 | 107 | py |
pyterpol | pyterpol-master/pyterpol_examples/disentangled_spectra_fitting/hd81357/hd81357_plot.py | """
This shows how to evaluate the outcome of the fitting
We were fitting the disentangled spectra of the secondary.
"""
import pyterpol
# 1) Load the last session - create an empty Interface
itf = pyterpol.Interface()
# fill it with teh last session
itf.load('hd81357.sav')
# 2) Have a look at the comparisons
itf.pl... | 627 | 20.655172 | 58 | py |
pyterpol | pyterpol-master/pyterpol_examples/disentangled_spectra_fitting/hd81357/hd81357.py | """
Real life demonstration. HD81357 is an interacting binary.
Its secondary is a Roche-lobe filling star, which is probably
losing its mass. We obtained disentangled spectra of the secondary
in two spectral regions. Here is an estimate of its radiative properties.
"""
# import numpy as np
import pyterpol
## 1) Creat... | 5,610 | 39.366906 | 154 | py |
pyterpol | pyterpol-master/pyterpol_examples/Fitter/example.py | """
This function demonstrates usage of the class Fitter.
"""
import pyterpol
import numpy as np
import matplotlib.pyplot as plt
import time
################################## BARE MINIMUM #########################################
# define a function that will be minimized
def func(x):
"""
Polynomial of order... | 2,764 | 28.105263 | 89 | py |
pyterpol | pyterpol-master/pyterpol_examples/RegionList/example.py | """
This script demonstrates capabilities of the RegionList class.
"""
import pyterpol
################################## BARE MINIMUM #########################################
# create an empty class
rl = pyterpol.RegionList()
# add a region - the simplest way
rl.add_region(wmin=4300, wmax=4500)
# add a region, de... | 1,879 | 35.153846 | 89 | py |
pyterpol | pyterpol-master/docs/conf.py | import os
# -*- coding: utf-8 -*-
#
# Pyterpol documentation build configuration file, created by
# sphinx-quickstart on Fri Aug 26 12:34:08 2016.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated ... | 10,169 | 27.647887 | 80 | py |
pyterpol | pyterpol-master/grids_ABS/ready_phoenix.py | #!/usr/bin/env python
"""
ready_phoenix.py
Convert Phoenix synthetic spectra from FITS to DAT.
"""
__author__ = "Miroslav Broz (miroslav.broz@email.cz)"
__version__ = "Jun 23rd 2016"
import sys
import numpy as np
from scipy.interpolate import splrep, splev
from astropy.io import fits
from pyterpol.synthetic.auxili... | 2,065 | 20.747368 | 97 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticSpectrum/compare_c_p.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
from pyterpol.synthetic.makespectrum import SyntheticSpectrum
gridSpec = 'grid.dat'
# basic gridspectrum used by interpol
c0_wave, c0_int = np.loadtxt(gridSpec, unpack=True, usecols=[0,1])
# shifted and rotated gridspectrum
crs_... | 992 | 27.371429 | 71 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticSpectrum/test01.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
from pyterpol.synthetic.makespectrum import SyntheticSpectrum
syspe = SyntheticSpectrum(f='temp.dat', teff=10000, logg=4.2)
# check normal output
print syspe.get_spectrum()
# choose a wave region
# this one should raise warning
w... | 913 | 28.483871 | 79 | py |
pyterpol | pyterpol-master/pyterpol_test/test_comparison/test02/test02.py | """
Try to do some comparisons with various systems.
"""
import pyterpol
import matplotlib.pyplot as plt
# ================================= Binary =================================
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [
dict(filename='o.asc', error=0.01),
... | 939 | 25.857143 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_comparison/test02/test01.py | """
Try to do some comparisons with various systems.
"""
import pyterpol
import matplotlib.pyplot as plt
# ============================== Single star ===============================
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [
dict(filename='o.asc', error=0.01),
... | 1,567 | 26.034483 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_comparison/testkorel/testkorel.py | """
Make a comparison with some data created with the old version.
KOREL format of the ouput data is used.
"""
import pyterpol
# 1) setup the model
sl = pyterpol.StarList()
sl.add_component('primary', teff=11257., logg=4.43, vrot=28.8, lr=0.744, rv=-17.94, z=1.000)
sl.add_component('secondary', teff=7714., logg=4.25,... | 765 | 25.413793 | 94 | py |
pyterpol | pyterpol-master/pyterpol_test/test_comparison/testnormal/testnormal.py | """
Make a comparison with some data created with the old version.
KOREL format of the ouput data is used.
"""
import pyterpol
# 1) setup the model
sl = pyterpol.StarList()
sl.add_component('primary', teff=32554., logg=3.77, vrot=64.5, lr=0.449, rv=6.685, z=1.003)
sl.add_component('secondary', teff=31205., logg=3.36,... | 818 | 22.4 | 94 | py |
pyterpol | pyterpol-master/pyterpol_test/test_comparison/test03/test03.py | """
Try to do some comparisons with various systems.
"""
import pyterpol
import matplotlib.pyplot as plt
# ======================== Binary wih KOREL file ===========================
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [
dict(filename='o.asc', error=0.01, ko... | 1,096 | 27.868421 | 94 | py |
pyterpol | pyterpol-master/pyterpol_test/test_comparison/test01/test01.py | """
Try to do some comparisons with various systems.
"""
import pyterpol
import matplotlib.pyplot as plt
# ============================== Single star ===============================
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [
dict(filename='o.asc', error=0.01),
... | 832 | 24.242424 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_fitting/test04.py | """
Test computation of chi2 - fitting of 6 RVs on three spectra.
This also shows that simplex wont get out of the local minimum easily,
so more powerful fitting environments are needed if we want
to get over big obstacles.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6325, wmax=6375)
rl.add_regio... | 2,697 | 32.725 | 100 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_fitting/test05.py | """
Test computation of chi2 - fitting of 6 RVs on three spectra.
This also shows that simplex wont get out of the local minimum easily,
so more powerful fitting environments are needed if we want
to get over big obstacles.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6325, wmax=6375)
rl.add_regio... | 2,739 | 32.82716 | 100 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_fitting/test02.py | """
Test computation of chi2 - fitting of 6 RVs on three spectra.
This also shows that simplex wont get out of the local minimum easily,
so more powerful fitting environments are needed if we want
to get over big obstacles.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6320, wmax=6380)
rl.add_regio... | 2,036 | 26.527027 | 97 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_fitting/test01.py | """
Test computation of chi2 - fitting of one RV on one spectrum
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6320, wmax=6380)
rl.add_region(wmin=6500, wmax=6600)
sl = pyterpol.StarList()
sl.add_component(component='primary', teff=18000., logg=4.5, rv=10., z=1.0, vrot=50.0, lr=0.3)
sl.add_compone... | 1,555 | 23.698413 | 97 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_fitting/test03.py | """
Test computation of chi2 - fitting of 6 RVs on three spectra.
This also shows that simplex wont get out of the local minimum easily,
so more powerful fitting environments are needed if we want
to get over big obstacles.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6325, wmax=6375, groups={'lr'... | 2,551 | 31.717949 | 100 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_fitting/test06.py | """
Test computation of chi2 - fitting of 6 RVs on three spectra.
This also shows that simplex wont get out of the local minimum easily,
so more powerful fitting environments are needed if we want
to get over big obstacles.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6325, wmax=6375)
rl.add_regio... | 2,805 | 33.219512 | 100 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_setup/test01.py | """
Test of setting up the class to start fitting.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=5300, wmax=5500)
rl.add_region(wmin=6500, wmax=6600)
sl = pyterpol.StarList()
sl.add_component(teff=10000., logg=4.5, rv=10., z=1.0, vrot=20.0)
itf = pyterpol.Interface(sl=sl, rl=rl, debug=True)
print... | 775 | 23.25 | 86 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitting/test_chi2/test01.py | """
Test computation of chi2
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(wmin=6320, wmax=6380)
rl.add_region(wmin=6500, wmax=6600)
sl = pyterpol.StarList()
sl.add_component(component='primary', teff=18000., logg=4.5, rv=10., z=1.0, vrot=50.0, lr=0.3)
sl.add_component(component='secondary', teff=25000... | 1,191 | 22.84 | 97 | py |
pyterpol | pyterpol-master/pyterpol_test/test_hjd/test.hjd.py | import numpy as np
import pyterpol
def load_observations(f):
"""
:param f: file
:return:
"""
# load the observations
flist = np.loadtxt(f, usecols=[0], unpack=True, dtype=str)
hjd = np.loadtxt(f, usecols=[1], unpack=True).tolist()
hjd[0] = None
# create list of observations
ob... | 1,829 | 24.068493 | 87 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fitter/test_save.py | import pyterpol
fitter = pyterpol.Fitter()
fitter.choose_fitter('nlopt_nelder_mead', xtol=1e-5, ftol=1e-5)
fitter.save('fitter_save.txt')
print fitter
fitter.clear_all()
print fitter
fitter.load('fitter_save.txt')
print fitter | 226 | 24.222222 | 63 | py |
pyterpol | pyterpol-master/pyterpol_test/test_Parameter/test01.py | """
Test of basic properties of the Parameter class.
"""
from pyterpol.fitting.parameter import Parameter
from pyterpol.fitting.parameter import parameter_definitions as pd
# test that all parameter defined in parameter_definitions result into
# Parameter - passed
for key in pd.keys():
p = Parameter(**pd[key])
#... | 532 | 18.035714 | 70 | py |
pyterpol | pyterpol-master/pyterpol_test/test_absolute_spectra/test.py | import pyterpol
import matplotlib.pyplot as plt
wmin = 3600
wmax = 4100
sygri = pyterpol.SyntheticGrid(flux_type='absolute')
params = dict(teff=9950, logg=3.7, z=1.0)
spec1 = sygri.get_synthetic_spectrum(params, [wmin, wmax], order=4, step=0.1)
params = dict(teff=10000, logg=3.5, z=1.0)
spec2 = sygri.get_synthetic_spe... | 575 | 31 | 77 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticGrid/test_grid_listing.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
# create the grid
sygri = pyterpol.SyntheticGrid()
# read properties
sygri.read_list_from_file('gridlist', columns=['FILENAME', 'TEFF', 'LOGG'], family='BSTAR')
# test narrowing down the synthetic spectra list
for... | 751 | 24.066667 | 91 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticGrid/test_grid_creation.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
# create the grid
sygri = pyterpol.SyntheticGrid()
# this one works - checked
sygri.read_list_from_file('gridlist', columns=['FILENAME', 'TEFF', 'LOGG'], family='BSTAR')
print sygri
print sygri.get_available_values... | 1,351 | 32.8 | 91 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticGrid/test_grid_selection.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
# create the grid
sygri = pyterpol.SyntheticGrid()
# read properties
sygri.read_list_from_file('b1.dat', columns=['FILENAME', 'TEFF', 'LOGG', 'Z'], family='BSTAR')
sygri.read_list_from_file('p1.dat', columns=['FILE... | 864 | 27.833333 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticGrid/test_grid_selection_2.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
# create the grid
sygri = pyterpol.SyntheticGrid(debug=True, mode='default')
parlis = sygri.select_parameters(order=4, **{'logg':3.9999999999999982, 'z':1.0, 'teff':16000.})
print parlis
parlis = sygri.deselect_exac... | 399 | 29.769231 | 96 | py |
pyterpol | pyterpol-master/pyterpol_test/test_SyntheticGrid/test_grid_interpolation.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
# create the grid
sygri = pyterpol.SyntheticGrid()
# read properties
sygri.read_list_from_file('b1.dat', columns=['FILENAME', 'TEFF', 'LOGG', 'Z'], family='BSTAR')
sygri.read_list_from_file('p1.dat', columns=['FILE... | 1,262 | 30.575 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/old_vs_new/pollux_barycentric_interpolator/compare.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(10,12), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
old = np.loadtxt(spec[:-3]+'old')
ind = np.where((old[:,0] >= new[:,0].min()) & (old[:,0] <= new[:,... | 799 | 26.586207 | 82 | py |
pyterpol | pyterpol-master/pyterpol_test/old_vs_new/pollux_hermite_interpolator/compare.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(10,12), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
old = np.loadtxt(spec[:-3]+'old')
ind = np.where((old[:,0] >= new[:,0].min()) & (old[:,0] <= new[:,... | 799 | 26.586207 | 82 | py |
pyterpol | pyterpol-master/pyterpol_test/old_vs_new/pollux_univariate_spline/compare.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(10,12), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
old = np.loadtxt(spec[:-3]+'old')
ind = np.where((old[:,0] >= new[:,0].min()) & (old[:,0] <= new[:,... | 799 | 26.586207 | 82 | py |
pyterpol | pyterpol-master/pyterpol_test/old_vs_new/pollux_adaptive_spline_order/compare.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(10,12), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
old = np.loadtxt(spec[:-3]+'old')
ind = np.where((old[:,0] >= new[:,0].min()) & (old[:,0] <= new[:,... | 799 | 26.586207 | 82 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_bstar/test_spectra_interpolation_wrapper.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
import time
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid('BSTAR', debug=True)
# interpolate at
wmin = 6500
wmax = 6650
keys = ['Z', 'LOGG', 'TEFF']
values = [1.5, 3.8, 18400]
params = {k:v... | 600 | 20.464286 | 60 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_bstar/test_spectra_interpolation_order.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
import time
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid('BSTAR', debug=True)
# interpolate at
wmin = 6500
wmax = 6650
keys = ['Z', 'LOGG', 'TEFF']
values = [1.0, 3.8, 18400]
params = {k:v... | 871 | 22.567568 | 93 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_bstar/compare_orders_z_1.0/compare_orders.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(15,15), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
xlim = (new[:,0].min(),new[:,0].max())
xlim = (6520,6600)
if i == 0:
fst = new.copy()
o... | 1,015 | 25.051282 | 79 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_bstar/compare_orders_z_1.5/compare_orders.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(15,15), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
xlim = (new[:,0].min(),new[:,0].max())
xlim = (6520,6600)
if i == 0:
fst = new.copy()
o... | 1,015 | 25.051282 | 79 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_pollux/test_spectra_interpolation_wrapper.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
import time
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid('POLLUX', debug=True)
# interpolate at
wmin = 6500
wmax = 6650
keys = ['Z', 'LOGG', 'TEFF']
values = [1.0, 4.0, 12000]
params = {k:... | 601 | 20.5 | 60 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_pollux/compare.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(10,12), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
old = np.loadtxt(spec[:-3]+'old')
ind = np.where((old[:,0] >= new[:,0].min()) & (old[:,0] <= new[:,... | 799 | 26.586207 | 82 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_pollux/test_spectra_interpolation.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
import time
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid('POLLUX', debug=True)
# interpolate at
keys_0 = ['Z', 'LOGG', 'TEFF']
values = [[1.0, 4.0, 12000],[1.0, 4.0, 12200],[1.0, 3.8, 1220... | 1,322 | 26.5625 | 86 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_pollux/test_spectra_interpolation_order.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
import time
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid('POLLUX', debug=True)
# interpolate at
wmin = 6500
wmax = 6650
keys = ['Z', 'LOGG', 'TEFF']
values = [1.0, 3.8, 12200]
params = {k:... | 871 | 22.567568 | 93 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_pollux/test_spectra_loading.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
import time
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid('POLLUX')
# try to load a spectrum
keys = ['Z', 'LOGG', 'TEFF']
vals = [1.0, 4.0, 13000]
wmin = 6400
wmax = 6600
# create a dictio... | 810 | 20.342105 | 77 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interpolation_pollux/compare_orders/compare_orders.py | import sys
import numpy as np
import matplotlib.pyplot as plt
speclist = np.loadtxt(sys.argv[1], dtype=str)
plt.figure(figsize=(10,15), dpi=100)
for i,spec in enumerate(speclist):
new = np.loadtxt(spec)
if i == 0:
fst = new.copy()
old = np.loadtxt('LOGG_3.8_Z_1.0_TEFF_12200.old')
ind = np.where((old[:... | 983 | 26.333333 | 79 | py |
pyterpol | pyterpol-master/pyterpol_test/test_ObservedSpectra/test_osc.py | import sys
sys.path.append('/home/jana/work/')
import pyterpol
import numpy as np
obsfile = 'ua170034.asc'
w, i = np.loadtxt(obsfile, unpack=True, usecols=[0, 1])
e = np.random.random(len(w)) * 0.01
# No spectrum is passes - only some warnings are issues -checked
#os = pyterpol.ObservedSpectrum()
# spectrum is passe... | 1,997 | 29.738462 | 90 | py |
pyterpol | pyterpol-master/pyterpol_test/hd81357/hd81357.py | import numpy as np
import pyterpol
# 1) Generate region
rl = pyterpol.RegionList()
rl.add_region(wmin=6450, wmax=6650)
# 2) Generate components
sl = pyterpol.StarList()
# compute rotational velocity
prot = 33.77409
r_point = 14.68
i = np.radians(62.7)
vsini = 50.57877*r_point*np.sin(i)/prot
print vsini
# add compo... | 962 | 20.4 | 82 | py |
pyterpol | pyterpol-master/pyterpol_test/hd81357/fitting/eval_res.py | import numpy as np
import matplotlib.pyplot as plt
import pyterpol
itf = pyterpol.Interface()
itf.load('hd81357.sav')
itf.populate_comparisons()
# print itf.get_degrees_of_freedom()
# print itf.compute_chi2_treshold()
# try to load the data
data = pyterpol.read_fitlog('fit.log')
# try to plot the convergence
itf.plo... | 447 | 18.478261 | 64 | py |
pyterpol | pyterpol-master/pyterpol_test/hd81357/fitting/hd81357.py | import numpy as np
import pyterpol
# 1) Generate region
rl = pyterpol.RegionList()
rl.add_region(wmin=6324, wmax=6424)
rl.add_region(wmin=4380, wmax=4497)
# 2) Generate observed data
ol = pyterpol.ObservedList()
obs = [
dict(filename='DE_blue02_n.dat', component='secondary', korel=True, error=0.01),
dict(file... | 1,557 | 28.961538 | 109 | py |
pyterpol | pyterpol-master/pyterpol_test/test_ObservedList/test02.py | """
Test of the submodule ObservedList in fitting.
Testing querying of spectra.
"""
import numpy as np
from pyterpol.fitting.interface import ObservedList
# define the type
ol = ObservedList()
# build a list of observations
obs = [
dict(filename='o.asc', group=dict(rv=0, teff=0)),
dict(filename='o.asc', group... | 1,782 | 32.018519 | 86 | py |
pyterpol | pyterpol-master/pyterpol_test/test_ObservedList/test01.py | """
Test of the submodule ObservedList in fitting.
"""
import numpy as np
from pyterpol.fitting.interface import ObservedList
# define the type
ol = ObservedList(debug=True)
# add some observations
ol.add_one_observation(filename='o.asc', group=dict(rv=0, teff=0))
ol.add_one_observation(filename='o.asc', group=dict(r... | 832 | 21.513514 | 66 | py |
pyterpol | pyterpol-master/pyterpol_test/test_ObservedList/test_save.py | """
Test of the observedlist save/load
"""
import numpy as np
from pyterpol.fitting.interface import ObservedList
# define the type
ol = ObservedList()
# build a list of observations
obs = [
dict(filename='o.asc', group=dict(rv=[0, 1], teff=0), error=0.01),
dict(filename='o.asc', group=dict(rv=0, teff=1)),
... | 603 | 19.133333 | 79 | py |
pyterpol | pyterpol-master/pyterpol_test/test_RegionList/test02.py | """
Tryout communication ObservedList -> RegionList -> StarList
"""
import pyterpol
debug = True
# 1) Observations
ol = pyterpol.ObservedList(debug=debug)
obslist = [
dict(filename='o.asc', component='secondary', error=0.01),
dict(filename='o.asc', component='primary', error=0.01),
dict(filename='o.asc',... | 1,212 | 21.886792 | 104 | py |
pyterpol | pyterpol-master/pyterpol_test/test_RegionList/test01.py | """
Basic testing (creation and attachement of regions) of the RegionList class
"""
import pyterpol
# type
rl = pyterpol.RegionList(debug=True)
# add regions
# the simplest case
rl.add_region(identification='myfirst', wmin=0., wmax=1.) #- correct
# rl.add_region() #- correctly incorrect
# try to add the same region... | 1,258 | 36.029412 | 120 | py |
pyterpol | pyterpol-master/pyterpol_test/test_RegionList/test_save.py | """
Test saving of the class.
"""
import pyterpol
rl = pyterpol.RegionList()
rl.add_region(component='primary', identification='r1', wmin=4500., wmax=4600.)
rl.add_region(component='primary', identification='r2', wmin=4500., wmax=4700.)
rl.add_region(component='primary', identification='r3', wmin=4500., wmax=4800.)
rl... | 590 | 18.7 | 81 | py |
pyterpol | pyterpol-master/pyterpol_test/test_StarList/test02.py | """
Test of group assignment,
"""
import pyterpol
# build the class and add some components
sl = pyterpol.StarList()
sl.add_component(component='primary', teff=15000., logg=4.5, vrot=0.0, rv=-20.)
sl.add_component(component='secondary', teff=15000., logg=4.5, vrot=0.0, rv=-20.)
# print sl
# add two groups for rv - c... | 550 | 26.55 | 81 | py |
pyterpol | pyterpol-master/pyterpol_test/test_StarList/test01.py | """
Test of initialization of the class StarList
"""
import pyterpol
sl = pyterpol.StarList()
sl.add_component(component='primary', teff=15000., logg=4.5, vrot=0.0, rv=-20.)
sl.add_component(component='secondary', teff=15000., logg=4.5, vrot=0.0, rv=-20.)
print sl
sl.clear()
# Try not to import one parameter
sl.add... | 517 | 21.521739 | 81 | py |
pyterpol | pyterpol-master/pyterpol_test/test_StarList/test03.py | """
Test of communication between StarList and ObservedList
"""
import pyterpol
# build the class and add some components
sl = pyterpol.StarList()
sl.add_component(component='primary', teff=15000., logg=4.5, vrot=0.0, rv=-20., groups=dict(z=1))
sl.add_component(component='secondary', teff=15000., logg=4.5, vrot=0.0, ... | 907 | 26.515152 | 99 | py |
pyterpol | pyterpol-master/pyterpol_test/test_StarList/test_save.py | import pyterpol
sl = pyterpol.StarList()
sl.add_component(component='primary', teff=17000., logg=4.0, rv=-100.0, z=1.0, vrot=40.0, lr=0.35)
sl.add_component(component='secondary', teff=26000., logg=4.0, rv=100.0, z=1.0, vrot=140.0, lr=0.65)
sl.set_parameter(component='primary', group=0, name='rv', value=-123123., vmi... | 439 | 30.428571 | 107 | py |
pyterpol | pyterpol-master/pyterpol_test/test_fwhm/test.py | import pyterpol
def main():
"""
:return:
"""
## 1) Generate region
rl = pyterpol.RegionList()
rl.add_region(wmin=6337., wmax=6410.0, groups=dict(lr=0))
rl.add_region(wmin=6530., wmax=6600.0, groups=dict(lr=0))
rl.add_region(wmin=6660., wmax=6690.0, groups=dict(lr=0))
## 2) Load ob... | 2,126 | 32.761905 | 108 | py |
pyterpol | pyterpol-master/pyterpol_test/junk/test.py | import numpy as np
from scipy.interpolate import splrep, splev, interp1d
import matplotlib.pyplot as plt
x = np.linspace(0, 2*np.pi, 10)
y = np.sin(x)
xnew = np.linspace(0, 2*np.pi, 100)
prec = np.sin(xnew)
tck = splrep(x, y, k=3)
int_splev = splev(xnew, tck)
f = interp1d(x, y, kind='cubic')
int_interp1d = f(xnew)
... | 685 | 23.5 | 57 | py |
pyterpol | pyterpol-master/pyterpol_test/test_defaults/test_grid_defaults.py | import matplotlib.pyplot as plt
import numpy as np
import sys
sys.path.append('../../')
import pyterpol
# create the grid - custom does nothing
sygri = pyterpol.SyntheticGrid()
print sygri
## create the grid - BSTAR does nothing
sygri = pyterpol.SyntheticGrid('BSTAR')
print sygri
## create the grid - OSTAR does no... | 664 | 19.78125 | 41 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interface/test04.py | """
Testing of RV group
"""
import pyterpol
import matplotlib.pyplot as plt
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
# obs = [
# dict(filename='o.asc', error=0.01, group=dict(rv=10)),
# dict(filename='o2.asc', error=0.01, group=dict(rv=10))
# ]
obs = [
... | 1,398 | 23.982143 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interface/test05.py | """
Testing the comparison of synthetic and observed spectra.
"""
import pyterpol
import matplotlib.pyplot as plt
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
# obs = [
# dict(filename='o.asc', error=0.01, group=dict(rv=10)),
# dict(filename='o2.asc', error=0.01, gr... | 1,336 | 23.309091 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interface/test02.py | """
Testing of creation of combination list.
"""
import pyterpol
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [dict(filename='o.asc', error=0.01),
dict(filename='o2.asc', error=0.01)]
ol.add_observations(obs)
# 2) define fitted regions
rl = pyterpol.RegionList(debug... | 732 | 19.361111 | 93 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interface/test01.py | import pyterpol
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [dict(filename='o.asc', error=0.01),
dict(filename='o2.asc', error=0.01)]
ol.add_observations(obs)
# 2) define fitted regions
rl = pyterpol.RegionList(debug=debug)
rl.add_region(wmin=4300, wmax=4380)
rl.add... | 619 | 22.846154 | 93 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interface/test03.py | """
Testing creation of the class and settings of groups.
"""
import pyterpol
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [
dict(filename='o.asc', error=0.01, group=dict(rv=10)),
dict(filename='o2.asc', error=0.01, group=dict(rv=11))
]
# obs = [
# ... | 1,364 | 28.042553 | 95 | py |
pyterpol | pyterpol-master/pyterpol_test/test_interface/test_save.py | """
Testing the comparison of synthetic and observed spectra.
"""
import pyterpol
import matplotlib.pyplot as plt
debug=False
# 1) define some observations
ol = pyterpol.ObservedList(debug=debug)
obs = [dict(filename='o.asc', error=0.01, component='primary', korel=True),
dict(filename='o2.asc', error=0.01, co... | 1,166 | 26.139535 | 95 | py |
pyterpol | pyterpol-master/observed/observations.py | import warnings
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import splrep
from scipy.interpolate import splev
# repeat userwarnings
warnings.simplefilter('always', UserWarning)
class ObservedSpectrum:
"""
A wrapper class for the observed spectra.
"""
def __init__(self, w... | 15,903 | 33.498915 | 118 | py |
pyterpol | pyterpol-master/observed/__init__.py | 2 | 0 | 0 | py | |
davis2017-evaluation | davis2017-evaluation-master/setup.py | from setuptools import setup
import sys
if sys.version_info < (3, 6):
sys.exit('Sorry, only Python >= 3.6 is supported')
setup(
python_requires='>=3.6, <4',
install_requires=[
'Pillow>=4.1.1',
'networkx>=2.0',
'numpy>=1.12.1',
'opencv-python>=4.0.0.21',
'pandas>=0.2... | 506 | 23.142857 | 54 | py |
davis2017-evaluation | davis2017-evaluation-master/evaluation_method.py | #!/usr/bin/env python
import os
import sys
from time import time
import argparse
import numpy as np
import pandas as pd
from davis2017.evaluation import DAVISEvaluation
default_davis_path = '/path/to/the/folder/DAVIS'
time_start = time()
parser = argparse.ArgumentParser()
parser.add_argument('--davis_path', type=str... | 3,492 | 49.623188 | 118 | py |
davis2017-evaluation | davis2017-evaluation-master/evaluation_codalab.py | #!/usr/bin/env python
import sys
import os.path
from time import time
import numpy as np
import pandas
from davis2017.evaluation import DAVISEvaluation
task = 'semi-supervised'
gt_set = 'test-dev'
time_start = time()
# as per the metadata file, input and output directories are the arguments
if len(sys.argv) < 3:
... | 4,122 | 42.861702 | 140 | py |
davis2017-evaluation | davis2017-evaluation-master/pytest/test_evaluation.py | import os
import sys
import numpy as np
import pandas
from time import time
from collections import defaultdict
from davis2017.evaluation import DAVISEvaluation
from davis2017 import utils
from davis2017.metrics import db_eval_boundary, db_eval_iou
davis_root = 'input_dir/ref'
methods_root = 'examples'
def test_ta... | 6,518 | 38.271084 | 140 | py |
davis2017-evaluation | davis2017-evaluation-master/davis2017/utils.py | import os
import errno
import numpy as np
from PIL import Image
import warnings
from davis2017.davis import DAVIS
def _pascal_color_map(N=256, normalized=False):
"""
Python implementation of the color map function for the PASCAL VOC data set.
Official Matlab version can be found in the PASCAL VOC devkit
... | 6,009 | 33.342857 | 110 | py |
davis2017-evaluation | davis2017-evaluation-master/davis2017/results.py | import os
import numpy as np
from PIL import Image
import sys
class Results(object):
def __init__(self, root_dir):
self.root_dir = root_dir
def _read_mask(self, sequence, frame_id):
try:
mask_path = os.path.join(self.root_dir, sequence, f'{frame_id}.png')
return np.arr... | 1,236 | 37.65625 | 111 | py |
davis2017-evaluation | davis2017-evaluation-master/davis2017/metrics.py | import math
import numpy as np
import cv2
def db_eval_iou(annotation, segmentation, void_pixels=None):
""" Compute region similarity as the Jaccard Index.
Arguments:
annotation (ndarray): binary annotation map.
segmentation (ndarray): binary segmentation map.
void_pixels (ndarray)... | 6,823 | 33.464646 | 137 | py |
davis2017-evaluation | davis2017-evaluation-master/davis2017/__init__.py | from __future__ import absolute_import
__version__ = '0.1.0'
| 62 | 14.75 | 38 | py |
davis2017-evaluation | davis2017-evaluation-master/davis2017/evaluation.py | import sys
from tqdm import tqdm
import warnings
warnings.filterwarnings("ignore", category=RuntimeWarning)
import numpy as np
from davis2017.davis import DAVIS
from davis2017.metrics import db_eval_boundary, db_eval_iou
from davis2017 import utils
from davis2017.results import Results
from scipy.optimize import linea... | 6,143 | 54.351351 | 143 | py |
davis2017-evaluation | davis2017-evaluation-master/davis2017/davis.py | import os
from glob import glob
from collections import defaultdict
import numpy as np
from PIL import Image
class DAVIS(object):
SUBSET_OPTIONS = ['train', 'val', 'test-dev', 'test-challenge']
TASKS = ['semi-supervised', 'unsupervised']
DATASET_WEB = 'https://davischallenge.org/davis2017/code.html'
V... | 5,514 | 43.837398 | 130 | py |
mapalignment | mapalignment-master/projects/mapalign/evaluate_funcs/evaluate_utils.py | import sys
import numpy as np
sys.path.append("../../utils")
import polygon_utils
def compute_batch_polygon_distances(gt_polygons_batch, aligned_disp_polygons_batch):
# Compute distances
distances = np.sqrt(np.sum(np.square(aligned_disp_polygons_batch - gt_polygons_batch), axis=-1))
min = np.nanmin(dis... | 2,799 | 36.333333 | 100 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/preprocess_bradbury_buildings_multires.py | import sys
import os
import json
import math
import skimage.transform
import skimage.draw
import numpy as np
# from PIL import Image, ImageDraw
# Image.MAX_IMAGE_PIXELS = 200000000
import tensorflow as tf
import config_bradbury_buildings_multires as config
sys.path.append("../../../data/bradbury_buildings_roads_he... | 17,281 | 47.68169 | 163 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/config_bradbury_buildings_multires.py | import os
def choose_first_existing_dir(dir_list):
for dir in dir_list:
if os.path.exists(dir):
return dir
return None
ROOT_DIR = choose_first_existing_dir([
"/local/shared/epitome-polygon-deep-learning", # Inria cluster node nefgpu23
"/home/nigirard/epitome-polygon-deep-learnin... | 6,538 | 23.582707 | 143 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/preprocess_aerial_image_multires.py | import sys
import os
import math
import json
import random
import skimage.transform
import numpy as np
import tensorflow as tf
import config_aerial_image_multires as config
sys.path.append("../../../data/AerialImageDataset")
import read
# sys.path.append("../utils")
# import visualization
sys.path.append("../../u... | 16,812 | 46.360563 | 182 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/config_mapping_challenge_multires.py | import os
def choose_first_existing_dir(dir_list):
for dir in dir_list:
if os.path.exists(dir):
return dir
return None
ROOT_DIR = choose_first_existing_dir([
"/local/shared/epitome-polygon-deep-learning", # Inria cluster node nefgpu23
"/home/nigirard/epitome-polygon-deep-learnin... | 1,817 | 41.27907 | 143 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/config_aerial_image_multires.py | import os
def choose_first_existing_dir(dir_list):
for dir in dir_list:
if os.path.exists(dir):
return dir
return None
ROOT_DIR = choose_first_existing_dir([
"/local/shared/epitome-polygon-deep-learning", # Inria cluster node nefgpu23
"/home/nigirard/epitome-polygon-deep-learning... | 3,439 | 33.747475 | 140 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/preprocess_mapping_challenge_multires.py | import sys
import os
import json
import skimage.transform
import skimage.draw
import numpy as np
# from PIL import Image, ImageDraw
# Image.MAX_IMAGE_PIXELS = 200000000
import tensorflow as tf
import config_mapping_challenge_multires as config
sys.path.append("../../../data/mapping_challenge_dataset")
import read
... | 11,965 | 43.816479 | 222 | py |
mapalignment | mapalignment-master/projects/mapalign/dataset_utils/dataset_multires.py | import sys
import os
import math
import tensorflow as tf
sys.path.append("../utils") # Mapalign sub-projects utils
import visualization
import skimage.io
sys.path.append("../../utils") # Projects utils
import tf_utils
import python_utils
# --- Param --- #
STRING_QUEUE_CAPACITY = 4000
MIN_QUEUE_EXAMPLES = 2000
#... | 27,745 | 47.422339 | 197 | py |
mapalignment | mapalignment-master/projects/mapalign/utils/visualization.py | import os
import sys
import numpy as np
import cv2
current_filepath = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(current_filepath, "../../utils"))
import python_utils
import polygon_utils
# --- Useful when code is executed inside Docker without a display: --- #
# Try importing pyplot:
di... | 13,891 | 40.717718 | 173 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/main.py | #####
#
# Quicky align the OSM data of your images with this script
#
####
import sys
import os
import argparse
import skimage.io
import numpy as np
import test
sys.path.append("../../utils")
import run_utils
import print_utils
import geo_utils
# -- Default script arguments: --- #
CONFIG = "config"
IMAGE = "geo_im... | 8,129 | 31.390438 | 176 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/3_test_plot.3_seg.py | import sys
import os
import matplotlib.pyplot as plt
import numpy as np
sys.path.append("../../utils")
import python_utils
# --- Params --- #
IOUS_FILENAME_EXTENSION = ".iou.npy"
SOURCE_PARAMS_LIST = [
{
"name": "Full method",
"path": "test/bradbury_buildings.seg.ds_fac_1",
"plot_color":... | 4,025 | 31.731707 | 151 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/5_model_buildings.py | import os.path
import numpy as np
import bpy, bmesh
import config
# --- Params --- #
OUTPUT_BASE_DIRPATH = os.path.join(config.PROJECT_DIR, "3d_buildings/leibnitz")
SCALE = 0.1
IMAGE_HEIGHT = 12360 * 0.5 # In meters
IMAGE_WIDTH = 17184 * 0.5 # In meters
UV_SCALE = (1 / (IMAGE_HEIGHT * SCALE), 1 / (IMAGE_WIDTH ... | 1,792 | 27.460317 | 79 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/test.py | import sys
import os
import numpy as np
# Import visualization first as it might change the matplotlib backend
sys.path.append("../utils")
import visualization
import multires_pipeline
sys.path.append("../evaluate_funcs")
import evaluate_utils
sys.path.append("../../utils")
import polygon_utils
def generate_disp_... | 18,905 | 55.774775 | 130 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/model_utils.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import sys
import tensorflow as tf
sys.path.append("../../utils")
import tf_utils
import print_utils
# --- Params --- #
DEBUG = False
SUMMARY = False
# --- --- #
def print_debug(obj):
if DE... | 20,710 | 44.820796 | 185 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/2_test_stereo_real_displacements.py | import sys
import os
import numpy as np
import itertools
import config
import test
sys.path.append("../../../data/stereo_dataset")
import read
sys.path.append("../../utils")
import geo_utils
# --- Params --- #
DATASET_DIR = os.path.join(config.PROJECT_DIR, "../../../data/stereo_dataset")
FILE_PARAMS = {
"raw_d... | 2,916 | 36.883117 | 244 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/2_test_bradbury_buildings.align_gt.py | import sys
import os
import tensorflow as tf
import numpy as np
import test
# CHANGE to the path of your own read.py script:
sys.path.append("../../../data/bradbury_buildings_roads_height_dataset")
import read as read_bradbury_buildings
sys.path.append("../../utils")
import run_utils
import python_utils
import prin... | 4,555 | 36.344262 | 187 | py |
mapalignment | mapalignment-master/projects/mapalign/mapalign_multires/loss_utils.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import numpy as np
import tensorflow as tf
sys.path.append("../../utils")
import tf_utils
def displacement_error(gt, preds, level_loss_coefs, polygon_map, disp_loss_params):
"""
:param g... | 9,420 | 44.73301 | 125 | py |
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