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from pathlib import Path
import numpy as np
from numpy.polynomial import Polynomial
from numpy.typing import NDArray
from scipy.interpolate import CubicSpline
class Config:
def __init__(self, path):
current_line = 0
# Ensure Path object
if path is not Path:
path = Path(path)
def next_parameter(fd):
'''Read next parameter, ignoring comments or empty lines'''
content = None
nonlocal current_line
while not content:
str = fd.readline()
current_line += 1
index = str.find('#')
content = str[0:index].strip()
return content
with open(path, 'r') as fd:
try:
self.mass = float(next_parameter(fd))
start, end, steps = next_parameter(fd).split()
self.interval = [float(start), float(end), int(steps)]
self.eig_interval = [int(attr) for attr in next_parameter(fd).split()]
self.interpolation = next_parameter(fd)
npoints = int(next_parameter(fd))
self.points = np.zeros((npoints, 2))
for i in range(npoints):
line = next_parameter(fd)
self.points[i] = np.array([float(comp) for comp in line.split()])
# TODO: don't be a moron, catch only relevant exceptions
except:
print('Syntax error in \'{}\' line {}'.format(path.name, current_line))
raise ValueError()
def potential_interp(interpolation, points):
if interpolation == 'linear':
def line(x):
return np.interp(x, points[:, 0], points[:, 1])
return line
elif interpolation == 'polynomial':
poly = Polynomial.fit(points[:, 0], points[:, 1],
points.shape[0] - 1)
return poly
elif interpolation == 'cspline':
cs = CubicSpline(points[:, 0], points[:, 1])
return cs
raise ValueError()
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