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Moved common data into data.py

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master
Per A Brodtkorb 8 years ago
parent 8709adb680
commit 77cf6a6b6f
4 changed files with 49 additions and 71 deletions
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40
wafo/kdetools/tests/data.py
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@ -0,0 +1,40 @@
'''
Created on 29. des. 2016
@author: pab
'''
# N = 20
# DATA1D = np.random.rayleigh(1, size=(N,))
# print(DATA1D.tolist())
DATA1D = [0.6493244636902034, 0.6562823794215175, 1.0905183896319681,
0.42206966930980305, 3.2401808457841033, 0.4527768130472434,
1.2078346032213523, 0.7042615640603758, 1.1514223608901017,
0.9233030250922233, 1.0709559676055374, 0.7132605765584901,
0.6560730230166847, 0.734614714549834, 1.0404525505934663,
0.6750474427282895, 0.8801082165600141, 1.7235435044161305,
1.2660483754981589, 0.9811765136936577]
# DATA2D = np.random.rayleigh(1, size=(2, N))
DATA2D = [[0.38103275, 0.35083136, 0.90024207, 1.88230239, 0.96815399,
0.57392873, 1.63367908, 1.20944125, 2.03887811, 0.81789145,
0.69302049, 1.40856592, 0.92156032, 2.14791432, 2.04373821,
0.69800708, 0.58428735, 1.59128776, 2.05771405, 0.87021964],
[1.44080694, 0.39973751, 1.331243, 2.48895822, 1.18894158,
1.40526085, 1.01967897, 0.81196474, 1.37978932, 2.03334689,
0.870329, 1.25106862, 0.5346619, 0.47541236, 1.51930093,
0.58861519, 1.19780448, 0.81548296, 1.56859488, 1.60653533]]
# DATA3D = np.random.rayleigh(1, size=(3, N))
DATA3D = [[0.932896, 0.89522635, 0.80636346, 1.32283371, 0.27125435,
1.91666304, 2.30736635, 1.13662384, 1.73071287, 1.06061127,
0.99598512, 2.16396591, 1.23458213, 1.12406686, 1.16930431,
0.73700592, 1.21135139, 0.46671506, 1.3530304, 0.91419104],
[0.62759088, 0.23988169, 2.04909823, 0.93766571, 1.19343762,
1.94954931, 0.84687514, 0.49284897, 1.05066204, 1.89088505,
0.840738, 1.02901457, 1.0758625, 1.76357967, 0.45792897,
1.54488066, 0.17644313, 1.6798871, 0.72583514, 2.22087245],
[1.69496432, 0.81791905, 0.82534709, 0.71642389, 0.89294732,
1.66888649, 0.69036947, 0.99961448, 0.30657267, 0.98798713,
0.83298728, 1.83334948, 1.90144186, 1.25781913, 0.07122458,
2.42340852, 2.41342037, 0.87233305, 1.17537114, 1.69505988]]
if __name__ == '__main__':
pass

53
wafo/kdetools/tests/test_gridding.py
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@ -7,23 +7,14 @@ from __future__ import division
import unittest
import numpy as np
from numpy.testing import assert_allclose
from numpy import array
import wafo.kdetools.gridding as wkg
from wafo.kdetools.tests.data import DATA1D, DATA2D, DATA3D
class TestKdeTools(unittest.TestCase):
@staticmethod
def test_gridcount_1d():
# N = 20
# data = np.random.rayleigh(1, size=(N,))
# print(data.tolist())
data = [0.6493244636902034, 0.6562823794215175, 1.0905183896319681,
0.42206966930980305, 3.2401808457841033, 0.4527768130472434,
1.2078346032213523, 0.7042615640603758, 1.1514223608901017,
0.9233030250922233, 1.0709559676055374, 0.7132605765584901,
0.6560730230166847, 0.734614714549834, 1.0404525505934663,
0.6750474427282895, 0.8801082165600141, 1.7235435044161305,
1.2660483754981589, 0.9811765136936577]
data = DATA1D
x = np.linspace(0, max(data) + 1, 10)
dx = x[1] - x[0]
@ -38,17 +29,7 @@ class TestKdeTools(unittest.TestCase):
@staticmethod
def test_gridcount_2d():
N = 20
# data = np.random.rayleigh(1, size=(2, N))
data = array([
[0.38103275, 0.35083136, 0.90024207, 1.88230239, 0.96815399,
0.57392873, 1.63367908, 1.20944125, 2.03887811, 0.81789145,
0.69302049, 1.40856592, 0.92156032, 2.14791432, 2.04373821,
0.69800708, 0.58428735, 1.59128776, 2.05771405, 0.87021964],
[1.44080694, 0.39973751, 1.331243, 2.48895822, 1.18894158,
1.40526085, 1.01967897, 0.81196474, 1.37978932, 2.03334689,
0.870329, 1.25106862, 0.5346619, 0.47541236, 1.51930093,
0.58861519, 1.19780448, 0.81548296, 1.56859488, 1.60653533]])
data = DATA2D
x = np.linspace(0, max(np.ravel(data)) + 1, 5)
dx = x[1] - x[0]
X = np.vstack((x, x))
@ -66,21 +47,7 @@ class TestKdeTools(unittest.TestCase):
@staticmethod
def test_gridcount_3d():
N = 20
# data = np.random.rayleigh(1, size=(3, N))
data = np.array([
[0.932896, 0.89522635, 0.80636346, 1.32283371, 0.27125435,
1.91666304, 2.30736635, 1.13662384, 1.73071287, 1.06061127,
0.99598512, 2.16396591, 1.23458213, 1.12406686, 1.16930431,
0.73700592, 1.21135139, 0.46671506, 1.3530304, 0.91419104],
[0.62759088, 0.23988169, 2.04909823, 0.93766571, 1.19343762,
1.94954931, 0.84687514, 0.49284897, 1.05066204, 1.89088505,
0.840738, 1.02901457, 1.0758625, 1.76357967, 0.45792897,
1.54488066, 0.17644313, 1.6798871, 0.72583514, 2.22087245],
[1.69496432, 0.81791905, 0.82534709, 0.71642389, 0.89294732,
1.66888649, 0.69036947, 0.99961448, 0.30657267, 0.98798713,
0.83298728, 1.83334948, 1.90144186, 1.25781913, 0.07122458,
2.42340852, 2.41342037, 0.87233305, 1.17537114, 1.69505988]])
data = DATA3D
x = np.linspace(0, max(np.ravel(data)) + 1, 3)
dx = x[1] - x[0]
X = np.vstack((x, x, x))
@ -103,17 +70,7 @@ class TestKdeTools(unittest.TestCase):
def test_gridcount_4d():
N = 20
# data = np.random.rayleigh(1, size=(2, N))
data = array([
[0.38103275, 0.35083136, 0.90024207, 1.88230239, 0.96815399,
0.57392873, 1.63367908, 1.20944125, 2.03887811, 0.81789145],
[0.69302049, 1.40856592, 0.92156032, 2.14791432, 2.04373821,
0.69800708, 0.58428735, 1.59128776, 2.05771405, 0.87021964],
[1.44080694, 0.39973751, 1.331243, 2.48895822, 1.18894158,
1.40526085, 1.01967897, 0.81196474, 1.37978932, 2.03334689],
[0.870329, 1.25106862, 0.5346619, 0.47541236, 1.51930093,
0.58861519, 1.19780448, 0.81548296, 1.56859488, 1.60653533]])
data = np.reshape(DATA2D, (4, -1))
x = np.linspace(0, max(np.ravel(data)) + 1, 3)
dx = x[1] - x[0]
X = np.vstack((x, x, x, x))

12
wafo/kdetools/tests/test_kdetools.py
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@ -9,6 +9,7 @@ import numpy as np
from numpy.testing import assert_allclose
import wafo.objects as wo
import wafo.kdetools as wk
from wafo.kdetools.tests.data import DATA2D
# import scipy.stats as st
@ -165,16 +166,7 @@ class TestKde(unittest.TestCase):
def test_KDE2D(self):
# N = 20
# data = np.random.rayleigh(1, size=(2, N))
data = np.array([
[0.38103275, 0.35083136, 0.90024207, 1.88230239, 0.96815399,
0.57392873, 1.63367908, 1.20944125, 2.03887811, 0.81789145,
0.69302049, 1.40856592, 0.92156032, 2.14791432, 2.04373821,
0.69800708, 0.58428735, 1.59128776, 2.05771405, 0.87021964],
[1.44080694, 0.39973751, 1.331243, 2.48895822, 1.18894158,
1.40526085, 1.01967897, 0.81196474, 1.37978932, 2.03334689,
0.870329, 1.25106862, 0.5346619, 0.47541236, 1.51930093,
0.58861519, 1.19780448, 0.81548296, 1.56859488, 1.60653533]])
data = DATA2D
x = np.linspace(0, max(np.ravel(data)) + 1, 3)
kde0 = wk.KDE(data, hs=0.5, alpha=0.0, inc=512)

15
wafo/kdetools/tests/test_kernels.py
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@ -9,6 +9,7 @@ import numpy as np
from numpy.testing import assert_allclose
from numpy import inf
import wafo.kdetools.kernels as wkk
from wafo.kdetools.tests.data import DATA3D
class TestKernels(unittest.TestCase):
@ -80,19 +81,7 @@ class TestKernels(unittest.TestCase):
class TestSmoothing(unittest.TestCase):
def setUp(self):
self.data = np.array([
[0.932896, 0.89522635, 0.80636346, 1.32283371, 0.27125435,
1.91666304, 2.30736635, 1.13662384, 1.73071287, 1.06061127,
0.99598512, 2.16396591, 1.23458213, 1.12406686, 1.16930431,
0.73700592, 1.21135139, 0.46671506, 1.3530304, 0.91419104],
[0.62759088, 0.23988169, 2.04909823, 0.93766571, 1.19343762,
1.94954931, 0.84687514, 0.49284897, 1.05066204, 1.89088505,
0.840738, 1.02901457, 1.0758625, 1.76357967, 0.45792897,
1.54488066, 0.17644313, 1.6798871, 0.72583514, 2.22087245],
[1.69496432, 0.81791905, 0.82534709, 0.71642389, 0.89294732,
1.66888649, 0.69036947, 0.99961448, 0.30657267, 0.98798713,
0.83298728, 1.83334948, 1.90144186, 1.25781913, 0.07122458,
2.42340852, 2.41342037, 0.87233305, 1.17537114, 1.69505988]])
self.data = DATA3D
self.gauss = wkk.Kernel('gaussian')
def test_hns(self):

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