# Copyright (C) 2012 Bjarne Grimstad ([email protected]). # # This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. # Add the SPLINTER directory to the search path, so we can include it from os import sys, path, remove sys.path.append( path.dirname(path.dirname(path.dirname(path.abspath(__file__))))) ##### Start of the example ##### import splinter # This must be done if splinter could not locate the shared library splinter.load("/home/anders/SPLINTER/build/release/libsplinter-1-4.so") # Create a new, empty DataTable d = splinter.DataTable() # Populate it with samples for i in range(10): for j in range(10): d.addSample([i, j], i * j) # Save the samples for use later d.save("test.datatable") # Create DataTable from saved d2 = splinter.DataTable("test.datatable")
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
# Add the SPLINTER directory to the search path, so we can include it
from os import sys, path, remove
sys.path.append(path.dirname(path.dirname(path.dirname(path.abspath(__file__)))))
##### Start of the example #####
import splinter
# This must be done if splinter could not locate the shared library
splinter.load("/home/anders/SPLINTER/build/release/libsplinter-1-4.so")
# Create a new, empty DataTable
d = splinter.DataTable()
# Populate it with samples
for i in range(10):
for j in range(10):
d.addSample([i,j], i*j)
# Save the samples for use later
d.save("test.datatable")
# Create DataTable from saved
d2 = splinter.DataTable("test.datatable")
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
# Add the SPLINTER directory to the search path, so we can include it
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
from os import sys, path, remove
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
import splinter
# Only for dev purposes
# splinter.load("/home/bjarne/Code/C++/splinter4/splinter/bin/Release/libsplinter-3-0.so")
splinter.load("/home/anders/SPLINTER/build/debug/libsplinter-3-0.so")
# Example with two variables
def f(x):
return x[0]*x[1]
x1 = np.arange(-5, 5, 0.25)
x2 = np.arange(-5, 5, 0.25)
X1, X2 = np.meshgrid(x1, x2)
Y = np.sqrt(X1 ** 2 + X2 ** 2)
data = []
x = []
y = []
for i in range(len(x1)):
# Copyright (C) 2012 Bjarne Grimstad ([email protected]). # # This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. # Add the SPLINTER directory to the search path, so we can include it import numpy as np import matplotlib.pyplot as plt from os import sys, path, remove sys.path.append(path.dirname(path.dirname(path.abspath(__file__)))) import splinter # Only for dev purposes # splinter.load("/home/bjarne/Code/C++/splinter4/splinter/bin/Release/libsplinter-3-0.so") splinter.load("/home/anders/SPLINTER/build/debug/libsplinter-3-0.so") # Example with one variable def f1(x): return -1. + 2 * x + 0.1 * (x**2) + 10 * np.random.rand(1)[0] x = np.arange(0, 11, 1) y = np.zeros((len(x), )) for i in range(len(x)): y[i] = f1(x[i]) # Piecewise constant B-spline that interpolates the data b0 = splinter.BSplineBuilder(x, y, degree=0).build()
# The temp file is then read and the data is returned to Pickle. #
# When unpickling the data we get from Pickle is written to a temporary file #
# which is then read by the SPLINTER backend. #
# #
# This is a hack and tested for 5 minutes before I went to bed, so use with care. #
###################################################################################
import pickle
import copyreg
import tempfile
import splinter
# TODO: Change me
splinter.load(
"/home/awenhaug/projects/splinter/build/splinter-python/lib/linux/x86-64/libsplinter-3-0.so"
)
def constructor(serialized_data) -> splinter.BSpline:
print(f"Unpickling BSpline")
with tempfile.NamedTemporaryFile() as temp:
with open(temp.name, "wb") as f:
f.write(serialized_data)
return splinter.BSpline(temp.name)
def reducer(bspline: splinter.BSpline):
print(f"Pickling BSpline")
with tempfile.NamedTemporaryFile() as temp: