Missing particles in VTK

Asked by Przemek on 2020-04-23

Hi,

I've a problem with exporting to VTK formt. After convertion from text file to vtk file some particles are missing.
How can I solve this problem?
I used this code:

export.textExt('test.txt', format='x_y_z_r_attrs', attrs=['b.getTemp()'], comment='temp')
export.text2vtk('test.txt', 'test.vtk')

BR
Przemek

Question information

Language:
English Edit question
Status:
Solved
For:
Yade Edit question
Assignee:
No assignee Edit question
Solved by:
Przemek
Solved:
2020-04-24
Last query:
2020-04-24
Last reply:
2020-04-23
Jan Stránský (honzik) said : #1

Hello,

> some particles are missing.

How do you know? From the vtk file content, of from Paraview view?
If there are "many" (5000 I think) particles, Paraview shows only a limited amount (5000 I think) of particles by default.
Are there all particles in the txt file?

If the Paraview "hiding" is not the issue, please provide more information [1]:
- complete script generating the saved data
- Yade (and maybe OS) version

cheers
Jan

[1] https://www.yade-dem.org/wiki/Howtoask

Przemek (przemekn) said : #2

Hi Jan,

I checked the text file which contents 36 particles and in vtk file 1 particle was missed. For a higher number of particles more of them were missed.

I will send the script tomorrow when I'll be in work ;)

BR
Przemek

Przemek (przemekn) said : #3

Hi Jan,

check the script below:

T = inv(H).dot(F)
 for tp in O.bodies:
 if isinstance(tp.shape, Box) == True:
            pass
        else:
            tp.setTemp(T[tp.id])

Przemek (przemekn) said : #4

Sorry by the indentation. It should looks like:

    for tp in O.bodies:
        if isinstance(tp.shape, Box) == True:
            pass
        else:
            tp.setTemp(T[tp.id])

BR
Przemek

Robert Caulk (rcaulk) said : #5

Please provide a complete script.

Przemek (przemekn) said : #6

import math
import numpy as np
from scipy.sparse.linalg import spsolve
from numpy.linalg import norm
from numpy.linalg import inv
from yade import pack, export

# Properties and parameters
kappa = 10. # heat conductivity
beta = 1.
T_inf = 20. # ambient temperature
q_v = 0.5e1 # heat flux
convection1 = 0. # x-position of convection
convection2 = 0. # y-position of convection

tPoint = [2, 2, 0]
avTemp = 0

# Plate dimension
boxMax = (5.0, 5.0, 0.5)
# Spheres
color = [0.21, 0.22, 0.1]
sphereRadius = 0.1 # cm
r = 0.11
ndiv_x = boxMax[0] / (2 * sphereRadius) + 1
ndiv_y = boxMax[1] / (2 * sphereRadius) + 1
ndiv_z = boxMax[2] / (2 * sphereRadius) + 1
nbSpheres = (int(ndiv_x), int(ndiv_y), int(ndiv_z))
num = 0
for i in range(nbSpheres[0]):
    for j in range(nbSpheres[1]):
        for jj in range(nbSpheres[2]):
            x = (2.0 * sphereRadius * i)
            y = (2.0 * sphereRadius * j)
            z = (2.0 * sphereRadius * jj)
            num += 1
            plate = utils.sphere([x, y, z], r, color=color, fixed=fixed)
            O.bodies.append(plate)
conv1 = box(center=(convection1, boxMax[1] / 2, boxMax[2] / 2), extents=(0., boxMax[1] / 2 + sphereRadius, boxMax[2] / 2 + sphereRadius),
            fixed=True, wire=True, mask=3),
conv2 = box(center=(boxMax[0] / 2, convection2, boxMax[2] / 2), extents=(boxMax[0] / 2 + sphereRadius, 0., boxMax[2] / 2 + sphereRadius),
            fixed=True, wire=True, mask=3),
heat1 = facet(vertices=[(boxMax[0] + sphereRadius, -sphereRadius, -sphereRadius),
                        (boxMax[0] + sphereRadius, boxMax[0] + sphereRadius, -sphereRadius),
                        (boxMax[0] + sphereRadius, -sphereRadius, boxMax[2] + sphereRadius)], fixed=True, wire=True, mask=55)
heat2 = facet(vertices=[(boxMax[0] + sphereRadius, boxMax[0] + sphereRadius, boxMax[2] + sphereRadius),
                        (boxMax[0] + sphereRadius, boxMax[0] + sphereRadius, -sphereRadius),
                        (boxMax[0] + sphereRadius, -sphereRadius, boxMax[2] + sphereRadius)], fixed=True, wire=True, mask=55)
O.bodies.append(heat1)
O.bodies.append(heat2)
O.bodies.append(conv1)
O.bodies.append(conv2)
nBox = 2 # number of boxes

###
def convComp():
    betaDiffx = 0
    betaDiffy = 0
    for b in O.bodies:
        if isinstance(b.shape, Sphere):
            if b.state.pos[0] == convection1:
                betaDiffx += 1
            elif b.state.pos[1] == convection2:
                betaDiffy += 1
            else:
                pass
    beta_x = beta / betaDiffx
    beta_y = beta / betaDiffy
    return beta_x, beta_y
###

beta_x = convComp()[0]
beta_y = convComp()[1]

# Solver
O.engines = [
    ForceResetter(),
    InsertionSortCollider([Bo1_Sphere_Aabb(), Bo1_Box_Aabb(), Bo1_Facet_Aabb()]),
    InteractionLoop(
        [Ig2_Sphere_Sphere_ScGeom(), Ig2_Box_Sphere_ScGeom(), Ig2_Facet_Sphere_ScGeom()],
        [Ip2_FrictMat_FrictMat_FrictPhys()],
        [Law2_ScGeom_FrictPhys_CundallStrack()]
    ),
    NewtonIntegrator(gravity=(0, 0, -9.81), damping=0.1),
    PyRunner(command='intCounter()', realPeriod=1),
    PyRunner(command='tempCalc()', realPeriod=1),
    PyRunner(command='checkTempPoint(tPoint, sphereRadius)', realPeriod=1)
]
# Make a step
O.step()

###
def intCounter(): # counter of body (Sphere and Facet) real interactions
    for b in O.bodies:
        if isinstance(b.shape, Sphere) == True:
            countI = 0
            bInCon = []
            for i in O.interactions:
                if i.isReal:
                    if (i.id1 == b.id):
                        if isinstance(O.bodies[i.id2].shape, Facet) == True:
                            countI += 1
                            bInCon.append(i.id2)
                        else:
                            pass
                    elif (i.id2 == b.id):
                        if isinstance(O.bodies[i.id1].shape, Facet) == True:
                            countI += 1
                            bInCon.append(i.id1)
                        else:
                            pass
                    else:
                        pass
            b.realInt(countI)
            b.bodiesInContact(bInCon)
        elif isinstance(b.shape, Facet) == True:
            countI = 0
            bInCon = []
            for i in O.interactions:
                if i.isReal:
                    if (i.id1 == b.id):
                        countI += 1
                        bInCon.append(i.id2)
                    elif (i.id2 == b.id):
                        countI += 1
                        bInCon.append(i.id1)
                    else:
                        pass
            b.realInt(countI)
            b.bodiesInContact(bInCon)
        else:
            pass
###

###
def volumefraction(fID, sID):
    ns = O.bodies[fID].countI
    nsd = 0
    # Ai = pi * math.pow(r * math.sin(math.acos((r - O.interactions[sID, fID].geom.penetrationDepth) / r)), 2) # Area of penetraded particle
    for b in O.bodies[fID].bInCon:
        if O.bodies[b].countI > 1:
            nsd += 1
        else:
            pass
    nsn = ns - nsd
    if O.bodies[sID].countI > 1:
        vf = [O.interactions[sID, fID].geom.penetrationDepth]
        for fCon in O.bodies[sID].bInCon:
            if fCon != fID:
                vf.append(O.interactions[sID, fCon].geom.penetrationDepth)
            else:
                pass
        psi = vf[0] / sum(vf) / ns
    else:
        psi_prime = []
        for sCon in O.bodies[fID].bInCon:
            if sCon != sID:
                if O.bodies[sCon].countI > 1:
                    vf = [O.interactions[sCon, fID].geom.penetrationDepth]
                    for fCon in O.bodies[sCon].bInCon:
                        if fCon != fID:
                            vf.append(O.interactions[sCon, fCon].geom.penetrationDepth)
                        else:
                            pass
                    psi_prime.append(vf[0] / sum(vf))
                else:
                    pass
            else:
                pass

        psi = (1 - (sum(psi_prime) / ns)) / float(nsn)
    return psi
###

###
def tempCalc():
    def interNumber(): # is needed???
        tmp = 0
        vec = []
        for i in O.interactions:
            if i.isReal:
                vec.append([i.id1, i.id2])
                tmp += 1
            else:
                pass
        return tmp, vec

    realInt = interNumber()[0] # real number of interactions
    interList = interNumber()[1] # list of bodies IDs in interactions

    def interactionsDef(ii, jj):
        conPoint = O.interactions[ii, jj].geom.contactPoint # coordinates of contact point
        penDist = O.interactions[ii, jj].geom.penetrationDepth / 2. # penetration distance of current particle
        alphaI = math.acos(1 - penDist / r) # contact angle - alpha_i
        ###
        # ui = (conPoint - xi) / 2.
        xi = O.bodies[ii].state.pos # current position of body 1
        xj = O.bodies[jj].state.pos # current position of body 1
        ri = xj - xi
        ui = np.array([1., 0., 0.]) # basis vector x
        vi = np.array([0., 1., 0.]) # basis vector y
        wi = np.array([0., 0., 1.]) # basis vector z
        teta_1 = np.arccos(
            (ri.dot(vi.T)) / (norm(ri) * norm(vi))) # angle of contact position theta_i - direction 1
        teta_2 = np.arccos(
            (ri.dot(wi.T)) / (norm(ri) * norm(wi))) # angle of contact position theta_i - direction 2

        cx = (ri.dot(ui.T)) / (norm(ri) * norm(ui))
        cy = (ri.dot(vi.T)) / (norm(ri) * norm(vi))
        cz = (ri.dot(wi.T)) / (norm(ri) * norm(wi))

        c11 = cx * cx
        c22 = cy * cy
        c33 = cz * cz
        c12 = cx * cy
        c13 = cx * cz
        c23 = cy * cz

        cosMatrix = np.array([[c11, c12, c13, -c11, -c12, -c13],
                              [c12, c22, c23, -c12, -c22, -c23],
                              [c13, c23, c33, -c13, -c23, -c33],
                              [-c11, -c12, -c13, c11, c12, c13],
                              [-c12, -c22, -c23, c12, c22, c23],
                              [-c13, -c23, -c33, c13, c23, c33]])

        return alphaI, cosMatrix

    H = np.zeros([len(O.bodies) - nBox, len(O.bodies) - nBox]) # definition of thermal resistance matrix
    F = np.zeros(len(O.bodies) - nBox) # definition of thermal force vector

    def thResMatrix():
        for con in O.interactions: # loop over all interactions
            if con.isReal:
                idBodies = [con.id1, con.id2] # Allocation vector
                ii = idBodies[0] # ID of body 1
                jj = idBodies[1] # ID of body 2
                if isinstance(O.bodies[ii].shape, Sphere) and isinstance(O.bodies[jj].shape,
                                                                         Sphere) == True: # only spheres
                    alphaI = interactionsDef(ii, jj)[0]
                    K_el = np.power(2 / math.pi / kappa * (3 / 2 + np.power(alphaI, 2) / 36.
                                                           + np.power(alphaI, 4) / 2700. + np.power(alphaI, 6) / 79380.
                                                           + np.power(alphaI, 8) / 252000. - np.log(alphaI)), -1)
                    H[ii][ii] += K_el
                    H[ii][jj] += -K_el
                    H[jj][ii] += -K_el
                    H[jj][jj] += K_el
                    for conv in range(2):
                        if O.bodies[idBodies[conv]].state.pos[0] == convection1:
                            H[idBodies[conv]][idBodies[conv]] += beta_x
                            F[idBodies[conv]] += beta_x * T_inf
                            if O.bodies[idBodies[conv]].state.pos[1] == convection2:
                                H[idBodies[conv]][idBodies[conv]] += beta_y
                                F[idBodies[conv]] += beta_y * T_inf
                            else:
                                pass
                        elif O.bodies[idBodies[conv]].state.pos[1] == convection2:
                            H[idBodies[conv]][idBodies[conv]] += beta_y
                            F[idBodies[conv]] += beta_y * T_inf
                            if O.bodies[idBodies[conv]].state.pos[0] == convection1:
                                H[idBodies[conv]][idBodies[conv]] += beta_x
                                F[idBodies[conv]] += beta_x * T_inf
                            else:
                                pass
                        else:
                            pass
                elif (isinstance(O.bodies[ii].shape, Facet) or isinstance(O.bodies[jj].shape, Facet)) == True: # facets
                    alphaI = interactionsDef(ii, jj)[0]
                    K_el = np.power(1 / math.pi / kappa * (3 / 2 + np.power(alphaI, 2) / 36.
                                                           + np.power(alphaI, 4) / 2700. + np.power(alphaI, 6) / 79380.
                                                           + np.power(alphaI, 8) / 252000. - np.log(alphaI)), -1)
                    H[ii][ii] += K_el
                    H[ii][jj] += -K_el
                    H[jj][ii] += -K_el
                    H[jj][jj] += K_el
                    for conv in range(2):
                        if isinstance(O.bodies[idBodies[conv]].shape, Facet) == True:
                            volFrac = volumefraction(idBodies[conv], idBodies[1 - conv])
                            F[idBodies[conv]] += q_v * volFrac
                        else:
                            pass
                else:
                    pass
            else:
                pass

    def boundaryCon():
        for bon in O.interactions: # loop over all bodies
            if bon.isReal:
                idBodies = [bon.id1, bon.id2] # Allocation vector
                if isinstance(O.bodies[idBodies[0]].shape, Sphere) or isinstance(O.bodies[idBodies[1]].shape,
                                                                                 Sphere) != True:
                    ii = i.id # body ID
                    xi = i.state.pos # current position of body
                    for j in range(len(i.intrs())): # loop over all bodies in interaction with current body
                        k = utils.getBodyIdsContacts(ii)[j] # ID of contact particle
                        if O.interactions[ii, k].isReal:
                            if isinstance(i.shape, Sphere): # only spheres
                                alphaI = interactionsDef(ii, xi, k)
                                H[ii] += 2 / math.pi / kappa * (3 / 2 + np.power(alphaI, 2) / 36.
                                                                + np.power(alphaI, 4) / 2700. + np.power(alphaI,
                                                                                                         6) / 79380.
                                                                + np.power(alphaI, 8) / 252000. - np.log(alphaI))
                            else: # other shapes - facets, boxes
                                alphaI = interactionsDef(ii, xi, k)
                                H[k] += 1 / math.pi / kappa * (3 / 2 + np.power(alphaI, 2) / 36.
                                                               + np.power(alphaI, 4) / 2700. + np.power(alphaI,
                                                                                                        6) / 79380.
                                                               + np.power(alphaI, 8) / 252000. - np.log(alphaI))
                                if i.mask == 45:
                                    H[k] += + beta
                                else:
                                    pass
                        else:
                            pass

    thResMatrix()

    #T = inv(H).dot(F) # add a module to solve the sparse matrix
    T = spsolve(H, F)
    minT = min(T)
    maxT = max(T)
    #ran = floor(max(T) - minT)
    ran = maxT - minT

    for tp in O.bodies:
        if isinstance(tp.shape, Box) == True:
            pass
        else:
            tp.setTemp(T[tp.id])
            colMap = (T[tp.id] - minT) / ran * 255
            n = 4 * colMap / 256
            red = 255 * min(max(min(n - 1.5, -n + 4.5), 0), 1)
            green = 255 * min(max(min(n - 0.5, -n + 3.5), 0), 1)
            blue = 255 * min(max(min(n + 0.5, -n + 2.5), 0), 1)
            tp.shape.color = (red, green, blue)

    export.textExt('test.txt', format='x_y_z_r_attrs', attrs=['b.getTemp()'], comment='temp')
    export.text2vtk('test.txt', 'test.vtk')
    print(maxT - minT)
###

###
def checkTempPoint(tPoint, r):
    scaleFactor = 1.5
    inflRad = scaleFactor * r
    avTemp = []
    for b in O.bodies:
        if type(b.shape) == Sphere:
            bRad = norm(b.state.pos - tPoint)
            if bRad <= inflRad:
                avTemp.append(b.getTemp())
            else:
                pass
    avTemp = np.mean(avTemp)
    print(avTemp)
###

from yade import pack, qt

v = qt.View()
v.axes = False

Przemek (przemekn) said : #7

It is long :)

Robert Caulk (rcaulk) said : #8

It is too long, MWE means minimal working example. I don't have time to go through it but maybe someone else will ;-)

Przemek (przemekn) said : #9

The code works but there is problem only with export data from the text file to vtk. Like i wrote, in txt file I had 36 particles and after convertion one particle was missed.
I don't know what is the reason of it.

Robert Caulk (rcaulk) said : #10

Well we cannot reproduce your problem because you are using a custom installation of Yade with custom body attributes. If you desire assistance, it would be helpful if you isolate the issue in a reproducible MWE.

Have you tried using [1]?

[1]https://yade-dem.org/doc/yade.export.html#yade.export.VTKExporter

Przemek (przemekn) said : #11

 I just tried to use this:

vtkExporter = export.VTKExporter('/tmp/vtkExporterTesting')
vtkExporter.exportSpheres(what=dict(dist='b.state.pos.norm()'))

But I had an error:

ValueError Traceback (most recent call last)
/usr/bin/yade in <module>()

/usr/bin/yade in tempCalc()
    202
    203 vtkExporter = export.VTKExporter('vtkExporterTesting')
--> 204 vtkExporter.exportSpheres(what=dict(dist='b.state.pos.norm()'))
    205
    206 #export.textExt('test.txt', format='x_y_z_r_attrs', attrs=['b.getTemp()'], comment='temp')

/usr/lib/x86_64-linux-gnu/yade/py/yade/export.py in exportSpheres(self, ids, what, comment, numLabel, useRef)
    428 outFile.write("%g\n"%(b.shape.radius))
    429 # write additional data from 'what' param
--> 430 for name,command in what: # for each name...
    431 test = eval(command) # ... eval one example to see what type (float, Vector3, Matrix3) the result is ...
    432 # ... and write appropriate header line and loop over all bodies and write appropriate vtk line(s)

ValueError: too many values to unpack

Yade [2]: ---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
/usr/lib/x86_64-linux-gnu/yade/py/yade/__init__.py in refreshEvent(self)
    198 def yzxSlot(self): self.setViewAxes((-1,0,0),(0,0,1))
    199 def zxySlot(self): self.setViewAxes((0,-1,0),(1,0,0))
--> 200 def refreshEvent(self):
    201 self.refreshValues()
    202 self.activateControls()

KeyboardInterrupt:

In case when I used export to txt file, I get:

#format x_y_z_r_attrs
# x y z r temp
0 0 0 0.55 40
1 0 0 0.55 42.3553
2 0 0 0.55 44.7105
3 0 0 0.55 47.0658
4 0 0 0.55 49.421

And after text2vtk:

# vtk DataFile Version 3.0.
comment
ASCII

DATASET POLYDATA
POINTS 4 double
1 0 0
2 0 0
3 0 0
4 0 0

POINT_DATA 4
SCALARS radius double 1
LOOKUP_TABLE default
0.55
0.55
0.55
0.55

SCALARS temp double 1
LOOKUP_TABLE default
42.3553
44.7105
47.0658
49.421

So, in txt I have 5 particles and in vtk file 4... wierd...

Jan Stránský (honzik) said : #12

if the problem is the 36 particles file, please provide that one
Thanks
Jan

Przemek (przemekn) said : #13

Hi Jan,

this is txt file for 36 particles:

#format x_y_z_r_attrs
# x y z r temp
0 0 0 0.55 21.4949
0 1 0 0.55 21.551
0 2 0 0.55 21.6028
0 3 0 0.55 21.6451
0 4 0 0.55 21.6783
0 5 0 0.55 21.7061
1 0 0 0.55 21.5679
1 1 0 0.55 21.6467
1 2 0 0.55 21.7066
1 3 0 0.55 21.7512
1 4 0 0.55 21.7824
1 5 0 0.55 21.8009
2 0 0 0.55 21.6728
2 1 0 0.55 21.7612
2 2 0 0.55 21.8258
2 3 0 0.55 21.8707
2 4 0 0.55 21.8994
2 5 0 0.55 21.914
3 0 0 0.55 21.8076
3 1 0 0.55 21.8995
3 2 0 0.55 21.9645
3 3 0 0.55 22.0063
3 4 0 0.55 22.0305
3 5 0 0.55 22.0419
4 0 0 0.55 21.9781
4 1 0 0.55 22.0649
4 2 0 0.55 22.1265
4 3 0 0.55 22.1597
4 4 0 0.55 22.1744
4 5 0 0.55 22.181
5 0 0 0.55 22.2016
5 1 0 0.55 22.2554
5 2 0 0.55 22.3168
5 3 0 0.55 22.3314
5 4 0 0.55 22.3264
5 5 0 0.55 22.3268

And generated vtk:

# vtk DataFile Version 3.0.
comment
ASCII

DATASET POLYDATA
POINTS 35 double
0 1 0
0 2 0
0 3 0
0 4 0
0 5 0
1 0 0
1 1 0
1 2 0
1 3 0
1 4 0
1 5 0
2 0 0
2 1 0
2 2 0
2 3 0
2 4 0
2 5 0
3 0 0
3 1 0
3 2 0
3 3 0
3 4 0
3 5 0
4 0 0
4 1 0
4 2 0
4 3 0
4 4 0
4 5 0
5 0 0
5 1 0
5 2 0
5 3 0
5 4 0
5 5 0

POINT_DATA 35
SCALARS radius double 1
LOOKUP_TABLE default
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55
0.55

SCALARS temp double 1
LOOKUP_TABLE default
21.551
21.6028
21.6451
21.6783
21.7061
21.5679
21.6467
21.7066
21.7512
21.7824
21.8009
21.6728
21.7612
21.8258
21.8707
21.8994
21.914
21.8076
21.8995
21.9645
22.0063
22.0305
22.0419
21.9781
22.0649
22.1265
22.1597
22.1744
22.181
22.2016
22.2554
22.3168
22.3314
22.3264
22.3268

Jan Stránský (honzik) said : #14

It seems to be a bug in text2vtk, where the very first particle is not output.. will try to fix it

> For a higher number of particles more of them were missed.

do you have an example of this?

cheers
Jan

Przemek (przemekn) said : #15

Hi Jan,

here is a txt file:

#format x_y_z_r_attrs
# x y z r temp
0 0 0 0.11 21.0635
0 0 0.2 0.11 21.0627
0 0 0.4 0.11 21.0635
0 0.2 0 0.11 21.0687
0 0.2 0.2 0.11 21.0682
0 0.2 0.4 0.11 21.0687
0 0.4 0 0.11 21.0743
0 0.4 0.2 0.11 21.0739
0 0.4 0.4 0.11 21.0743
0 0.6 0 0.11 21.0799
0 0.6 0.2 0.11 21.0795
0 0.6 0.4 0.11 21.0799
0 0.8 0 0.11 21.0854
0 0.8 0.2 0.11 21.085
0 0.8 0.4 0.11 21.0854
0 1 0 0.11 21.0907
0 1 0.2 0.11 21.0902
0 1 0.4 0.11 21.0907
0 1.2 0 0.11 21.0957
0 1.2 0.2 0.11 21.0953
0 1.2 0.4 0.11 21.0957
0 1.4 0 0.11 21.1005
0 1.4 0.2 0.11 21.1
0 1.4 0.4 0.11 21.1005
0 1.6 0 0.11 21.105
0 1.6 0.2 0.11 21.1046
0 1.6 0.4 0.11 21.105
0 1.8 0 0.11 21.1092
0 1.8 0.2 0.11 21.1088
0 1.8 0.4 0.11 21.1092
0 2 0 0.11 21.1132
0 2 0.2 0.11 21.1128
0 2 0.4 0.11 21.1132
0 2.2 0 0.11 21.1169
0 2.2 0.2 0.11 21.1165
0 2.2 0.4 0.11 21.1169
0 2.4 0 0.11 21.1204
0 2.4 0.2 0.11 21.12
0 2.4 0.4 0.11 21.1204
0 2.6 0 0.11 21.1236
0 2.6 0.2 0.11 21.1232
0 2.6 0.4 0.11 21.1236
0 2.8 0 0.11 21.1266
0 2.8 0.2 0.11 21.1261
0 2.8 0.4 0.11 21.1266
0 3 0 0.11 21.1293
0 3 0.2 0.11 21.1288
0 3 0.4 0.11 21.1293
0 3.2 0 0.11 21.1317
0 3.2 0.2 0.11 21.1313
0 3.2 0.4 0.11 21.1317
0 3.4 0 0.11 21.134
0 3.4 0.2 0.11 21.1335
0 3.4 0.4 0.11 21.134
0 3.6 0 0.11 21.1359
0 3.6 0.2 0.11 21.1355
0 3.6 0.4 0.11 21.1359
0 3.8 0 0.11 21.1377
0 3.8 0.2 0.11 21.1373
0 3.8 0.4 0.11 21.1377
0 4 0 0.11 21.1393
0 4 0.2 0.11 21.1388
0 4 0.4 0.11 21.1393
0 4.2 0 0.11 21.1406
0 4.2 0.2 0.11 21.1402
0 4.2 0.4 0.11 21.1406
0 4.4 0 0.11 21.1418
0 4.4 0.2 0.11 21.1414
0 4.4 0.4 0.11 21.1418
0 4.6 0 0.11 21.1429
0 4.6 0.2 0.11 21.1424
0 4.6 0.4 0.11 21.1429
0 4.8 0 0.11 21.1438
0 4.8 0.2 0.11 21.1434
0 4.8 0.4 0.11 21.1438
0 5 0 0.11 21.1449
0 5 0.2 0.11 21.1445
0 5 0.4 0.11 21.1449
0.2 0 0 0.11 21.0691
0.2 0 0.2 0.11 21.0685
0.2 0 0.4 0.11 21.0691
0.2 0.2 0 0.11 21.0753
0.2 0.2 0.2 0.11 21.0751
0.2 0.2 0.4 0.11 21.0753
0.2 0.4 0 0.11 21.0812
0.2 0.4 0.2 0.11 21.0811
0.2 0.4 0.4 0.11 21.0812
0.2 0.6 0 0.11 21.087
0.2 0.6 0.2 0.11 21.0869
0.2 0.6 0.4 0.11 21.087
0.2 0.8 0 0.11 21.0926
0.2 0.8 0.2 0.11 21.0925
0.2 0.8 0.4 0.11 21.0926
0.2 1 0 0.11 21.0979
0.2 1 0.2 0.11 21.0978
0.2 1 0.4 0.11 21.0979
0.2 1.2 0 0.11 21.103
0.2 1.2 0.2 0.11 21.1029
0.2 1.2 0.4 0.11 21.103
0.2 1.4 0 0.11 21.1078
0.2 1.4 0.2 0.11 21.1077
0.2 1.4 0.4 0.11 21.1078
0.2 1.6 0 0.11 21.1124
0.2 1.6 0.2 0.11 21.1123
0.2 1.6 0.4 0.11 21.1124
0.2 1.8 0 0.11 21.1166
0.2 1.8 0.2 0.11 21.1166
0.2 1.8 0.4 0.11 21.1166
0.2 2 0 0.11 21.1207
0.2 2 0.2 0.11 21.1206
0.2 2 0.4 0.11 21.1207
0.2 2.2 0 0.11 21.1244
0.2 2.2 0.2 0.11 21.1243
0.2 2.2 0.4 0.11 21.1244
0.2 2.4 0 0.11 21.1279
0.2 2.4 0.2 0.11 21.1278
0.2 2.4 0.4 0.11 21.1279
0.2 2.6 0 0.11 21.1311
0.2 2.6 0.2 0.11 21.131
0.2 2.6 0.4 0.11 21.1311
0.2 2.8 0 0.11 21.1341
0.2 2.8 0.2 0.11 21.134
0.2 2.8 0.4 0.11 21.1341
0.2 3 0 0.11 21.1368
0.2 3 0.2 0.11 21.1367
0.2 3 0.4 0.11 21.1368
0.2 3.2 0 0.11 21.1392
0.2 3.2 0.2 0.11 21.1392
0.2 3.2 0.4 0.11 21.1392
0.2 3.4 0 0.11 21.1415
0.2 3.4 0.2 0.11 21.1414
0.2 3.4 0.4 0.11 21.1415
0.2 3.6 0 0.11 21.1435
0.2 3.6 0.2 0.11 21.1434
0.2 3.6 0.4 0.11 21.1435
0.2 3.8 0 0.11 21.1453
0.2 3.8 0.2 0.11 21.1452
0.2 3.8 0.4 0.11 21.1453
0.2 4 0 0.11 21.1468
0.2 4 0.2 0.11 21.1467
0.2 4 0.4 0.11 21.1468
0.2 4.2 0 0.11 21.1482
0.2 4.2 0.2 0.11 21.1481
0.2 4.2 0.4 0.11 21.1482
0.2 4.4 0 0.11 21.1493
0.2 4.4 0.2 0.11 21.1492
0.2 4.4 0.4 0.11 21.1493
0.2 4.6 0 0.11 21.1503
0.2 4.6 0.2 0.11 21.1502
0.2 4.6 0.4 0.11 21.1503
0.2 4.8 0 0.11 21.1511
0.2 4.8 0.2 0.11 21.151
0.2 4.8 0.4 0.11 21.1511
0.2 5 0 0.11 21.1517
0.2 5 0.2 0.11 21.1516
0.2 5 0.4 0.11 21.1517
0.4 0 0 0.11 21.0756
0.4 0 0.2 0.11 21.0752
0.4 0 0.4 0.11 21.0756
0.4 0.2 0 0.11 21.0822
0.4 0.2 0.2 0.11 21.0821
0.4 0.2 0.4 0.11 21.0822
0.4 0.4 0 0.11 21.0885
0.4 0.4 0.2 0.11 21.0884
0.4 0.4 0.4 0.11 21.0885
0.4 0.6 0 0.11 21.0944
0.4 0.6 0.2 0.11 21.0944
0.4 0.6 0.4 0.11 21.0944
0.4 0.8 0 0.11 21.1001
0.4 0.8 0.2 0.11 21.1001
0.4 0.8 0.4 0.11 21.1001
0.4 1 0 0.11 21.1055
0.4 1 0.2 0.11 21.1055
0.4 1 0.4 0.11 21.1055
0.4 1.2 0 0.11 21.1107
0.4 1.2 0.2 0.11 21.1106
0.4 1.2 0.4 0.11 21.1107
0.4 1.4 0 0.11 21.1155
0.4 1.4 0.2 0.11 21.1155
0.4 1.4 0.4 0.11 21.1155
0.4 1.6 0 0.11 21.1201
0.4 1.6 0.2 0.11 21.1201
0.4 1.6 0.4 0.11 21.1201
0.4 1.8 0 0.11 21.1244
0.4 1.8 0.2 0.11 21.1244
0.4 1.8 0.4 0.11 21.1244
0.4 2 0 0.11 21.1284
0.4 2 0.2 0.11 21.1284
0.4 2 0.4 0.11 21.1284
0.4 2.2 0 0.11 21.1322
0.4 2.2 0.2 0.11 21.1322
0.4 2.2 0.4 0.11 21.1322
0.4 2.4 0 0.11 21.1357
0.4 2.4 0.2 0.11 21.1357
0.4 2.4 0.4 0.11 21.1357
0.4 2.6 0 0.11 21.1389
0.4 2.6 0.2 0.11 21.1389
0.4 2.6 0.4 0.11 21.1389
0.4 2.8 0 0.11 21.1419
0.4 2.8 0.2 0.11 21.1419
0.4 2.8 0.4 0.11 21.1419
0.4 3 0 0.11 21.1446
0.4 3 0.2 0.11 21.1446
0.4 3 0.4 0.11 21.1446
0.4 3.2 0 0.11 21.1471
0.4 3.2 0.2 0.11 21.1471
0.4 3.2 0.4 0.11 21.1471
0.4 3.4 0 0.11 21.1493
0.4 3.4 0.2 0.11 21.1493
0.4 3.4 0.4 0.11 21.1493
0.4 3.6 0 0.11 21.1513
0.4 3.6 0.2 0.11 21.1513
0.4 3.6 0.4 0.11 21.1513
0.4 3.8 0 0.11 21.1531
0.4 3.8 0.2 0.11 21.1531
0.4 3.8 0.4 0.11 21.1531
0.4 4 0 0.11 21.1546
0.4 4 0.2 0.11 21.1546
0.4 4 0.4 0.11 21.1546
0.4 4.2 0 0.11 21.156
0.4 4.2 0.2 0.11 21.156
0.4 4.2 0.4 0.11 21.156
0.4 4.4 0 0.11 21.1571
0.4 4.4 0.2 0.11 21.1571
0.4 4.4 0.4 0.11 21.1571
0.4 4.6 0 0.11 21.158
0.4 4.6 0.2 0.11 21.158
0.4 4.6 0.4 0.11 21.158
0.4 4.8 0 0.11 21.1587
0.4 4.8 0.2 0.11 21.1586
0.4 4.8 0.4 0.11 21.1587
0.4 5 0 0.11 21.159
0.4 5 0.2 0.11 21.159
0.4 5 0.4 0.11 21.159
0.6 0 0 0.11 21.0828
0.6 0 0.2 0.11 21.0824
0.6 0 0.4 0.11 21.0828
0.6 0.2 0 0.11 21.0896
0.6 0.2 0.2 0.11 21.0895
0.6 0.2 0.4 0.11 21.0896
0.6 0.4 0 0.11 21.096
0.6 0.4 0.2 0.11 21.096
0.6 0.4 0.4 0.11 21.096
0.6 0.6 0 0.11 21.1021
0.6 0.6 0.2 0.11 21.1021
0.6 0.6 0.4 0.11 21.1021
0.6 0.8 0 0.11 21.1079
0.6 0.8 0.2 0.11 21.1079
0.6 0.8 0.4 0.11 21.1079
0.6 1 0 0.11 21.1134
0.6 1 0.2 0.11 21.1134
0.6 1 0.4 0.11 21.1134
0.6 1.2 0 0.11 21.1186
0.6 1.2 0.2 0.11 21.1186
0.6 1.2 0.4 0.11 21.1186
0.6 1.4 0 0.11 21.1235
0.6 1.4 0.2 0.11 21.1235
0.6 1.4 0.4 0.11 21.1235
0.6 1.6 0 0.11 21.1281
0.6 1.6 0.2 0.11 21.1281
0.6 1.6 0.4 0.11 21.1281
0.6 1.8 0 0.11 21.1325
0.6 1.8 0.2 0.11 21.1325
0.6 1.8 0.4 0.11 21.1325
0.6 2 0 0.11 21.1365
0.6 2 0.2 0.11 21.1365
0.6 2 0.4 0.11 21.1365
0.6 2.2 0 0.11 21.1403
0.6 2.2 0.2 0.11 21.1403
0.6 2.2 0.4 0.11 21.1403
0.6 2.4 0 0.11 21.1438
0.6 2.4 0.2 0.11 21.1438
0.6 2.4 0.4 0.11 21.1438
0.6 2.6 0 0.11 21.147
0.6 2.6 0.2 0.11 21.147
0.6 2.6 0.4 0.11 21.147
0.6 2.8 0 0.11 21.15
0.6 2.8 0.2 0.11 21.15
0.6 2.8 0.4 0.11 21.15
0.6 3 0 0.11 21.1527
0.6 3 0.2 0.11 21.1527
0.6 3 0.4 0.11 21.1527
0.6 3.2 0 0.11 21.1552
0.6 3.2 0.2 0.11 21.1552
0.6 3.2 0.4 0.11 21.1552
0.6 3.4 0 0.11 21.1574
0.6 3.4 0.2 0.11 21.1574
0.6 3.4 0.4 0.11 21.1574
0.6 3.6 0 0.11 21.1594
0.6 3.6 0.2 0.11 21.1594
0.6 3.6 0.4 0.11 21.1594
0.6 3.8 0 0.11 21.1612
0.6 3.8 0.2 0.11 21.1612
0.6 3.8 0.4 0.11 21.1612
0.6 4 0 0.11 21.1627
0.6 4 0.2 0.11 21.1627
0.6 4 0.4 0.11 21.1627
0.6 4.2 0 0.11 21.164
0.6 4.2 0.2 0.11 21.164
0.6 4.2 0.4 0.11 21.164
0.6 4.4 0 0.11 21.1651
0.6 4.4 0.2 0.11 21.1651
0.6 4.4 0.4 0.11 21.1651
0.6 4.6 0 0.11 21.1659
0.6 4.6 0.2 0.11 21.1659
0.6 4.6 0.4 0.11 21.1659
0.6 4.8 0 0.11 21.1665
0.6 4.8 0.2 0.11 21.1665
0.6 4.8 0.4 0.11 21.1665
0.6 5 0 0.11 21.1668
0.6 5 0.2 0.11 21.1668
0.6 5 0.4 0.11 21.1668
0.8 0 0 0.11 21.0905
0.8 0 0.2 0.11 21.0901
0.8 0 0.4 0.11 21.0905
0.8 0.2 0 0.11 21.0974
0.8 0.2 0.2 0.11 21.0973
0.8 0.2 0.4 0.11 21.0974
0.8 0.4 0 0.11 21.104
0.8 0.4 0.2 0.11 21.1039
0.8 0.4 0.4 0.11 21.104
0.8 0.6 0 0.11 21.1102
0.8 0.6 0.2 0.11 21.1102
0.8 0.6 0.4 0.11 21.1102
0.8 0.8 0 0.11 21.1161
0.8 0.8 0.2 0.11 21.1161
0.8 0.8 0.4 0.11 21.1161
0.8 1 0 0.11 21.1216
0.8 1 0.2 0.11 21.1216
0.8 1 0.4 0.11 21.1216
0.8 1.2 0 0.11 21.1269
0.8 1.2 0.2 0.11 21.1269
0.8 1.2 0.4 0.11 21.1269
0.8 1.4 0 0.11 21.1318
0.8 1.4 0.2 0.11 21.1318
0.8 1.4 0.4 0.11 21.1318
0.8 1.6 0 0.11 21.1365
0.8 1.6 0.2 0.11 21.1365
0.8 1.6 0.4 0.11 21.1365
0.8 1.8 0 0.11 21.1408
0.8 1.8 0.2 0.11 21.1408
0.8 1.8 0.4 0.11 21.1408
0.8 2 0 0.11 21.1449
0.8 2 0.2 0.11 21.1449
0.8 2 0.4 0.11 21.1449
0.8 2.2 0 0.11 21.1487
0.8 2.2 0.2 0.11 21.1487
0.8 2.2 0.4 0.11 21.1487
0.8 2.4 0 0.11 21.1522
0.8 2.4 0.2 0.11 21.1522
0.8 2.4 0.4 0.11 21.1522
0.8 2.6 0 0.11 21.1554
0.8 2.6 0.2 0.11 21.1554
0.8 2.6 0.4 0.11 21.1554
0.8 2.8 0 0.11 21.1584
0.8 2.8 0.2 0.11 21.1584
0.8 2.8 0.4 0.11 21.1584
0.8 3 0 0.11 21.1611
0.8 3 0.2 0.11 21.1611
0.8 3 0.4 0.11 21.1611
0.8 3.2 0 0.11 21.1636
0.8 3.2 0.2 0.11 21.1636
0.8 3.2 0.4 0.11 21.1636
0.8 3.4 0 0.11 21.1658
0.8 3.4 0.2 0.11 21.1658
0.8 3.4 0.4 0.11 21.1658
0.8 3.6 0 0.11 21.1678
0.8 3.6 0.2 0.11 21.1678
0.8 3.6 0.4 0.11 21.1678
0.8 3.8 0 0.11 21.1695
0.8 3.8 0.2 0.11 21.1695
0.8 3.8 0.4 0.11 21.1695
0.8 4 0 0.11 21.171
0.8 4 0.2 0.11 21.171
0.8 4 0.4 0.11 21.171
0.8 4.2 0 0.11 21.1723
0.8 4.2 0.2 0.11 21.1723
0.8 4.2 0.4 0.11 21.1723
0.8 4.4 0 0.11 21.1733
0.8 4.4 0.2 0.11 21.1733
0.8 4.4 0.4 0.11 21.1733
0.8 4.6 0 0.11 21.1741
0.8 4.6 0.2 0.11 21.1741
0.8 4.6 0.4 0.11 21.1741
0.8 4.8 0 0.11 21.1747
0.8 4.8 0.2 0.11 21.1747
0.8 4.8 0.4 0.11 21.1747
0.8 5 0 0.11 21.175
0.8 5 0.2 0.11 21.175
0.8 5 0.4 0.11 21.175
1 0 0 0.11 21.0986
1 0 0.2 0.11 21.0982
1 0 0.4 0.11 21.0986
1 0.2 0 0.11 21.1056
1 0.2 0.2 0.11 21.1055
1 0.2 0.4 0.11 21.1056
1 0.4 0 0.11 21.1122
1 0.4 0.2 0.11 21.1122
1 0.4 0.4 0.11 21.1122
1 0.6 0 0.11 21.1185
1 0.6 0.2 0.11 21.1185
1 0.6 0.4 0.11 21.1185
1 0.8 0 0.11 21.1245
1 0.8 0.2 0.11 21.1245
1 0.8 0.4 0.11 21.1245
1 1 0 0.11 21.1301
1 1 0.2 0.11 21.1301
1 1 0.4 0.11 21.1301
1 1.2 0 0.11 21.1354
1 1.2 0.2 0.11 21.1354
1 1.2 0.4 0.11 21.1354
1 1.4 0 0.11 21.1404
1 1.4 0.2 0.11 21.1404
1 1.4 0.4 0.11 21.1404
1 1.6 0 0.11 21.1451
1 1.6 0.2 0.11 21.1451
1 1.6 0.4 0.11 21.1451
1 1.8 0 0.11 21.1494
1 1.8 0.2 0.11 21.1494
1 1.8 0.4 0.11 21.1494
1 2 0 0.11 21.1535
1 2 0.2 0.11 21.1535
1 2 0.4 0.11 21.1535
1 2.2 0 0.11 21.1573
1 2.2 0.2 0.11 21.1573
1 2.2 0.4 0.11 21.1573
1 2.4 0 0.11 21.1608
1 2.4 0.2 0.11 21.1608
1 2.4 0.4 0.11 21.1608
1 2.6 0 0.11 21.1641
1 2.6 0.2 0.11 21.1641
1 2.6 0.4 0.11 21.1641
1 2.8 0 0.11 21.167
1 2.8 0.2 0.11 21.167
1 2.8 0.4 0.11 21.167
1 3 0 0.11 21.1697
1 3 0.2 0.11 21.1697
1 3 0.4 0.11 21.1697
1 3.2 0 0.11 21.1722
1 3.2 0.2 0.11 21.1722
1 3.2 0.4 0.11 21.1722
1 3.4 0 0.11 21.1744
1 3.4 0.2 0.11 21.1744
1 3.4 0.4 0.11 21.1744
1 3.6 0 0.11 21.1764
1 3.6 0.2 0.11 21.1764
1 3.6 0.4 0.11 21.1764
1 3.8 0 0.11 21.1781
1 3.8 0.2 0.11 21.1781
1 3.8 0.4 0.11 21.1781
1 4 0 0.11 21.1796
1 4 0.2 0.11 21.1796
1 4 0.4 0.11 21.1796
1 4.2 0 0.11 21.1808
1 4.2 0.2 0.11 21.1808
1 4.2 0.4 0.11 21.1808
1 4.4 0 0.11 21.1818
1 4.4 0.2 0.11 21.1818
1 4.4 0.4 0.11 21.1818
1 4.6 0 0.11 21.1826
1 4.6 0.2 0.11 21.1826
1 4.6 0.4 0.11 21.1826
1 4.8 0 0.11 21.1831
1 4.8 0.2 0.11 21.1831
1 4.8 0.4 0.11 21.1831
1 5 0 0.11 21.1834
1 5 0.2 0.11 21.1834
1 5 0.4 0.11 21.1834
1.2 0 0 0.11 21.1071
1.2 0 0.2 0.11 21.1067
1.2 0 0.4 0.11 21.1071
1.2 0.2 0 0.11 21.1142
1.2 0.2 0.2 0.11 21.1141
1.2 0.2 0.4 0.11 21.1142
1.2 0.4 0 0.11 21.1209
1.2 0.4 0.2 0.11 21.1209
1.2 0.4 0.4 0.11 21.1209
1.2 0.6 0 0.11 21.1273
1.2 0.6 0.2 0.11 21.1273
1.2 0.6 0.4 0.11 21.1273
1.2 0.8 0 0.11 21.1333
1.2 0.8 0.2 0.11 21.1333
1.2 0.8 0.4 0.11 21.1333
1.2 1 0 0.11 21.139
1.2 1 0.2 0.11 21.139
1.2 1 0.4 0.11 21.139
1.2 1.2 0 0.11 21.1443
1.2 1.2 0.2 0.11 21.1443
1.2 1.2 0.4 0.11 21.1443
1.2 1.4 0 0.11 21.1493
1.2 1.4 0.2 0.11 21.1493
1.2 1.4 0.4 0.11 21.1493
1.2 1.6 0 0.11 21.154
1.2 1.6 0.2 0.11 21.154
1.2 1.6 0.4 0.11 21.154
1.2 1.8 0 0.11 21.1584
1.2 1.8 0.2 0.11 21.1584
1.2 1.8 0.4 0.11 21.1584
1.2 2 0 0.11 21.1624
1.2 2 0.2 0.11 21.1624
1.2 2 0.4 0.11 21.1624
1.2 2.2 0 0.11 21.1662
1.2 2.2 0.2 0.11 21.1662
1.2 2.2 0.4 0.11 21.1662
1.2 2.4 0 0.11 21.1697
1.2 2.4 0.2 0.11 21.1697
1.2 2.4 0.4 0.11 21.1697
1.2 2.6 0 0.11 21.173
1.2 2.6 0.2 0.11 21.173
1.2 2.6 0.4 0.11 21.173
1.2 2.8 0 0.11 21.1759
1.2 2.8 0.2 0.11 21.1759
1.2 2.8 0.4 0.11 21.1759
1.2 3 0 0.11 21.1786
1.2 3 0.2 0.11 21.1786
1.2 3 0.4 0.11 21.1786
1.2 3.2 0 0.11 21.181
1.2 3.2 0.2 0.11 21.181
1.2 3.2 0.4 0.11 21.181
1.2 3.4 0 0.11 21.1832
1.2 3.4 0.2 0.11 21.1832
1.2 3.4 0.4 0.11 21.1832
1.2 3.6 0 0.11 21.1852
1.2 3.6 0.2 0.11 21.1852
1.2 3.6 0.4 0.11 21.1852
1.2 3.8 0 0.11 21.1869
1.2 3.8 0.2 0.11 21.1869
1.2 3.8 0.4 0.11 21.1869
1.2 4 0 0.11 21.1883
1.2 4 0.2 0.11 21.1883
1.2 4 0.4 0.11 21.1883
1.2 4.2 0 0.11 21.1896
1.2 4.2 0.2 0.11 21.1896
1.2 4.2 0.4 0.11 21.1896
1.2 4.4 0 0.11 21.1905
1.2 4.4 0.2 0.11 21.1905
1.2 4.4 0.4 0.11 21.1905
1.2 4.6 0 0.11 21.1913
1.2 4.6 0.2 0.11 21.1913
1.2 4.6 0.4 0.11 21.1913
1.2 4.8 0 0.11 21.1918
1.2 4.8 0.2 0.11 21.1918
1.2 4.8 0.4 0.11 21.1918
1.2 5 0 0.11 21.192
1.2 5 0.2 0.11 21.192
1.2 5 0.4 0.11 21.192
1.4 0 0 0.11 21.1161
1.4 0 0.2 0.11 21.1156
1.4 0 0.4 0.11 21.1161
1.4 0.2 0 0.11 21.1231
1.4 0.2 0.2 0.11 21.123
1.4 0.2 0.4 0.11 21.1231
1.4 0.4 0 0.11 21.1299
1.4 0.4 0.2 0.11 21.1299
1.4 0.4 0.4 0.11 21.1299
1.4 0.6 0 0.11 21.1364
1.4 0.6 0.2 0.11 21.1364
1.4 0.6 0.4 0.11 21.1364
1.4 0.8 0 0.11 21.1424
1.4 0.8 0.2 0.11 21.1424
1.4 0.8 0.4 0.11 21.1424
1.4 1 0 0.11 21.1481
1.4 1 0.2 0.11 21.1481
1.4 1 0.4 0.11 21.1481
1.4 1.2 0 0.11 21.1535
1.4 1.2 0.2 0.11 21.1535
1.4 1.2 0.4 0.11 21.1535
1.4 1.4 0 0.11 21.1585
1.4 1.4 0.2 0.11 21.1585
1.4 1.4 0.4 0.11 21.1585
1.4 1.6 0 0.11 21.1632
1.4 1.6 0.2 0.11 21.1632
1.4 1.6 0.4 0.11 21.1632
1.4 1.8 0 0.11 21.1676
1.4 1.8 0.2 0.11 21.1676
1.4 1.8 0.4 0.11 21.1676
1.4 2 0 0.11 21.1717
1.4 2 0.2 0.11 21.1717
1.4 2 0.4 0.11 21.1717
1.4 2.2 0 0.11 21.1754
1.4 2.2 0.2 0.11 21.1754
1.4 2.2 0.4 0.11 21.1754
1.4 2.4 0 0.11 21.1789
1.4 2.4 0.2 0.11 21.1789
1.4 2.4 0.4 0.11 21.1789
1.4 2.6 0 0.11 21.1821
1.4 2.6 0.2 0.11 21.1821
1.4 2.6 0.4 0.11 21.1821
1.4 2.8 0 0.11 21.1851
1.4 2.8 0.2 0.11 21.1851
1.4 2.8 0.4 0.11 21.1851
1.4 3 0 0.11 21.1877
1.4 3 0.2 0.11 21.1877
1.4 3 0.4 0.11 21.1877
1.4 3.2 0 0.11 21.1902
1.4 3.2 0.2 0.11 21.1902
1.4 3.2 0.4 0.11 21.1902
1.4 3.4 0 0.11 21.1923
1.4 3.4 0.2 0.11 21.1923
1.4 3.4 0.4 0.11 21.1923
1.4 3.6 0 0.11 21.1942
1.4 3.6 0.2 0.11 21.1942
1.4 3.6 0.4 0.11 21.1942
1.4 3.8 0 0.11 21.1959
1.4 3.8 0.2 0.11 21.1959
1.4 3.8 0.4 0.11 21.1959
1.4 4 0 0.11 21.1973
1.4 4 0.2 0.11 21.1973
1.4 4 0.4 0.11 21.1973
1.4 4.2 0 0.11 21.1985
1.4 4.2 0.2 0.11 21.1985
1.4 4.2 0.4 0.11 21.1985
1.4 4.4 0 0.11 21.1995
1.4 4.4 0.2 0.11 21.1995
1.4 4.4 0.4 0.11 21.1995
1.4 4.6 0 0.11 21.2002
1.4 4.6 0.2 0.11 21.2002
1.4 4.6 0.4 0.11 21.2002
1.4 4.8 0 0.11 21.2007
1.4 4.8 0.2 0.11 21.2007
1.4 4.8 0.4 0.11 21.2007
1.4 5 0 0.11 21.201
1.4 5 0.2 0.11 21.201
1.4 5 0.4 0.11 21.201
1.6 0 0 0.11 21.1254
1.6 0 0.2 0.11 21.1249
1.6 0 0.4 0.11 21.1254
1.6 0.2 0 0.11 21.1325
1.6 0.2 0.2 0.11 21.1324
1.6 0.2 0.4 0.11 21.1325
1.6 0.4 0 0.11 21.1393
1.6 0.4 0.2 0.11 21.1393
1.6 0.4 0.4 0.11 21.1393
1.6 0.6 0 0.11 21.1458
1.6 0.6 0.2 0.11 21.1458
1.6 0.6 0.4 0.11 21.1458
1.6 0.8 0 0.11 21.1519
1.6 0.8 0.2 0.11 21.1519
1.6 0.8 0.4 0.11 21.1519
1.6 1 0 0.11 21.1576
1.6 1 0.2 0.11 21.1576
1.6 1 0.4 0.11 21.1576
1.6 1.2 0 0.11 21.163
1.6 1.2 0.2 0.11 21.163
1.6 1.2 0.4 0.11 21.163
1.6 1.4 0 0.11 21.1681
1.6 1.4 0.2 0.11 21.1681
1.6 1.4 0.4 0.11 21.1681
1.6 1.6 0 0.11 21.1728
1.6 1.6 0.2 0.11 21.1728
1.6 1.6 0.4 0.11 21.1728
1.6 1.8 0 0.11 21.1771
1.6 1.8 0.2 0.11 21.1771
1.6 1.8 0.4 0.11 21.1771
1.6 2 0 0.11 21.1812
1.6 2 0.2 0.11 21.1812
1.6 2 0.4 0.11 21.1812
1.6 2.2 0 0.11 21.1849
1.6 2.2 0.2 0.11 21.1849
1.6 2.2 0.4 0.11 21.1849
1.6 2.4 0 0.11 21.1884
1.6 2.4 0.2 0.11 21.1884
1.6 2.4 0.4 0.11 21.1884
1.6 2.6 0 0.11 21.1916
1.6 2.6 0.2 0.11 21.1916
1.6 2.6 0.4 0.11 21.1916
1.6 2.8 0 0.11 21.1945
1.6 2.8 0.2 0.11 21.1945
1.6 2.8 0.4 0.11 21.1945
1.6 3 0 0.11 21.1971
1.6 3 0.2 0.11 21.1971
1.6 3 0.4 0.11 21.1971
1.6 3.2 0 0.11 21.1995
1.6 3.2 0.2 0.11 21.1995
1.6 3.2 0.4 0.11 21.1995
1.6 3.4 0 0.11 21.2016
1.6 3.4 0.2 0.11 21.2016
1.6 3.4 0.4 0.11 21.2016
1.6 3.6 0 0.11 21.2035
1.6 3.6 0.2 0.11 21.2035
1.6 3.6 0.4 0.11 21.2035
1.6 3.8 0 0.11 21.2052
1.6 3.8 0.2 0.11 21.2052
1.6 3.8 0.4 0.11 21.2052
1.6 4 0 0.11 21.2066
1.6 4 0.2 0.11 21.2066
1.6 4 0.4 0.11 21.2066
1.6 4.2 0 0.11 21.2078
1.6 4.2 0.2 0.11 21.2078
1.6 4.2 0.4 0.11 21.2078
1.6 4.4 0 0.11 21.2087
1.6 4.4 0.2 0.11 21.2087
1.6 4.4 0.4 0.11 21.2087
1.6 4.6 0 0.11 21.2094
1.6 4.6 0.2 0.11 21.2094
1.6 4.6 0.4 0.11 21.2094
1.6 4.8 0 0.11 21.2099
1.6 4.8 0.2 0.11 21.2099
1.6 4.8 0.4 0.11 21.2099
1.6 5 0 0.11 21.2101
1.6 5 0.2 0.11 21.2101
1.6 5 0.4 0.11 21.2101
1.8 0 0 0.11 21.135
1.8 0 0.2 0.11 21.1346
1.8 0 0.4 0.11 21.135
1.8 0.2 0 0.11 21.1422
1.8 0.2 0.2 0.11 21.1421
1.8 0.2 0.4 0.11 21.1422
1.8 0.4 0 0.11 21.1491
1.8 0.4 0.2 0.11 21.1491
1.8 0.4 0.4 0.11 21.1491
1.8 0.6 0 0.11 21.1556
1.8 0.6 0.2 0.11 21.1556
1.8 0.6 0.4 0.11 21.1556
1.8 0.8 0 0.11 21.1618
1.8 0.8 0.2 0.11 21.1618
1.8 0.8 0.4 0.11 21.1618
1.8 1 0 0.11 21.1675
1.8 1 0.2 0.11 21.1675
1.8 1 0.4 0.11 21.1675
1.8 1.2 0 0.11 21.1729
1.8 1.2 0.2 0.11 21.1729
1.8 1.2 0.4 0.11 21.1729
1.8 1.4 0 0.11 21.1779
1.8 1.4 0.2 0.11 21.1779
1.8 1.4 0.4 0.11 21.1779
1.8 1.6 0 0.11 21.1826
1.8 1.6 0.2 0.11 21.1826
1.8 1.6 0.4 0.11 21.1826
1.8 1.8 0 0.11 21.187
1.8 1.8 0.2 0.11 21.187
1.8 1.8 0.4 0.11 21.187
1.8 2 0 0.11 21.191
1.8 2 0.2 0.11 21.191
1.8 2 0.4 0.11 21.191
1.8 2.2 0 0.11 21.1947
1.8 2.2 0.2 0.11 21.1947
1.8 2.2 0.4 0.11 21.1947
1.8 2.4 0 0.11 21.1982
1.8 2.4 0.2 0.11 21.1982
1.8 2.4 0.4 0.11 21.1982
1.8 2.6 0 0.11 21.2013
1.8 2.6 0.2 0.11 21.2013
1.8 2.6 0.4 0.11 21.2013
1.8 2.8 0 0.11 21.2042
1.8 2.8 0.2 0.11 21.2042
1.8 2.8 0.4 0.11 21.2042
1.8 3 0 0.11 21.2068
1.8 3 0.2 0.11 21.2068
1.8 3 0.4 0.11 21.2068
1.8 3.2 0 0.11 21.2091
1.8 3.2 0.2 0.11 21.2091
1.8 3.2 0.4 0.11 21.2091
1.8 3.4 0 0.11 21.2112
1.8 3.4 0.2 0.11 21.2112
1.8 3.4 0.4 0.11 21.2112
1.8 3.6 0 0.11 21.2131
1.8 3.6 0.2 0.11 21.2131
1.8 3.6 0.4 0.11 21.2131
1.8 3.8 0 0.11 21.2147
1.8 3.8 0.2 0.11 21.2147
1.8 3.8 0.4 0.11 21.2147
1.8 4 0 0.11 21.2161
1.8 4 0.2 0.11 21.2161
1.8 4 0.4 0.11 21.2161
1.8 4.2 0 0.11 21.2172
1.8 4.2 0.2 0.11 21.2172
1.8 4.2 0.4 0.11 21.2172
1.8 4.4 0 0.11 21.2181
1.8 4.4 0.2 0.11 21.2181
1.8 4.4 0.4 0.11 21.2181
1.8 4.6 0 0.11 21.2188
1.8 4.6 0.2 0.11 21.2188
1.8 4.6 0.4 0.11 21.2188
1.8 4.8 0 0.11 21.2193
1.8 4.8 0.2 0.11 21.2193
1.8 4.8 0.4 0.11 21.2193
1.8 5 0 0.11 21.2195
1.8 5 0.2 0.11 21.2195
1.8 5 0.4 0.11 21.2195
2 0 0 0.11 21.1451
2 0 0.2 0.11 21.1447
2 0 0.4 0.11 21.1451
2 0.2 0 0.11 21.1524
2 0.2 0.2 0.11 21.1523
2 0.2 0.4 0.11 21.1524
2 0.4 0 0.11 21.1593
2 0.4 0.2 0.11 21.1593
2 0.4 0.4 0.11 21.1593
2 0.6 0 0.11 21.1659
2 0.6 0.2 0.11 21.1659
2 0.6 0.4 0.11 21.1659
2 0.8 0 0.11 21.172
2 0.8 0.2 0.11 21.172
2 0.8 0.4 0.11 21.172
2 1 0 0.11 21.1778
2 1 0.2 0.11 21.1778
2 1 0.4 0.11 21.1778
2 1.2 0 0.11 21.1831
2 1.2 0.2 0.11 21.1831
2 1.2 0.4 0.11 21.1831
2 1.4 0 0.11 21.1882
2 1.4 0.2 0.11 21.1882
2 1.4 0.4 0.11 21.1882
2 1.6 0 0.11 21.1928
2 1.6 0.2 0.11 21.1928
2 1.6 0.4 0.11 21.1928
2 1.8 0 0.11 21.1971
2 1.8 0.2 0.11 21.1971
2 1.8 0.4 0.11 21.1971
2 2 0 0.11 21.2011
2 2 0.2 0.11 21.2011
2 2 0.4 0.11 21.2011
2 2.2 0 0.11 21.2048
2 2.2 0.2 0.11 21.2048
2 2.2 0.4 0.11 21.2048
2 2.4 0 0.11 21.2082
2 2.4 0.2 0.11 21.2082
2 2.4 0.4 0.11 21.2082
2 2.6 0 0.11 21.2113
2 2.6 0.2 0.11 21.2113
2 2.6 0.4 0.11 21.2113
2 2.8 0 0.11 21.2141
2 2.8 0.2 0.11 21.2141
2 2.8 0.4 0.11 21.2141
2 3 0 0.11 21.2167
2 3 0.2 0.11 21.2167
2 3 0.4 0.11 21.2167
2 3.2 0 0.11 21.219
2 3.2 0.2 0.11 21.219
2 3.2 0.4 0.11 21.219
2 3.4 0 0.11 21.221
2 3.4 0.2 0.11 21.221
2 3.4 0.4 0.11 21.221
2 3.6 0 0.11 21.2229
2 3.6 0.2 0.11 21.2229
2 3.6 0.4 0.11 21.2229
2 3.8 0 0.11 21.2244
2 3.8 0.2 0.11 21.2244
2 3.8 0.4 0.11 21.2244
2 4 0 0.11 21.2258
2 4 0.2 0.11 21.2258
2 4 0.4 0.11 21.2258
2 4.2 0 0.11 21.2269
2 4.2 0.2 0.11 21.2269
2 4.2 0.4 0.11 21.2269
2 4.4 0 0.11 21.2278
2 4.4 0.2 0.11 21.2278
2 4.4 0.4 0.11 21.2278
2 4.6 0 0.11 21.2285
2 4.6 0.2 0.11 21.2285
2 4.6 0.4 0.11 21.2285
2 4.8 0 0.11 21.2289
2 4.8 0.2 0.11 21.2289
2 4.8 0.4 0.11 21.2289
2 5 0 0.11 21.2291
2 5 0.2 0.11 21.2291
2 5 0.4 0.11 21.2291
2.2 0 0 0.11 21.1557
2.2 0 0.2 0.11 21.1552
2.2 0 0.4 0.11 21.1557
2.2 0.2 0 0.11 21.163
2.2 0.2 0.2 0.11 21.1629
2.2 0.2 0.4 0.11 21.163
2.2 0.4 0 0.11 21.1699
2.2 0.4 0.2 0.11 21.1699
2.2 0.4 0.4 0.11 21.1699
2.2 0.6 0 0.11 21.1765
2.2 0.6 0.2 0.11 21.1765
2.2 0.6 0.4 0.11 21.1765
2.2 0.8 0 0.11 21.1826
2.2 0.8 0.2 0.11 21.1826
2.2 0.8 0.4 0.11 21.1826
2.2 1 0 0.11 21.1884
2.2 1 0.2 0.11 21.1884
2.2 1 0.4 0.11 21.1884
2.2 1.2 0 0.11 21.1937
2.2 1.2 0.2 0.11 21.1937
2.2 1.2 0.4 0.11 21.1937
2.2 1.4 0 0.11 21.1987
2.2 1.4 0.2 0.11 21.1987
2.2 1.4 0.4 0.11 21.1987
2.2 1.6 0 0.11 21.2033
2.2 1.6 0.2 0.11 21.2033
2.2 1.6 0.4 0.11 21.2033
2.2 1.8 0 0.11 21.2076
2.2 1.8 0.2 0.11 21.2076
2.2 1.8 0.4 0.11 21.2076
2.2 2 0 0.11 21.2116
2.2 2 0.2 0.11 21.2116
2.2 2 0.4 0.11 21.2116
2.2 2.2 0 0.11 21.2152
2.2 2.2 0.2 0.11 21.2152
2.2 2.2 0.4 0.11 21.2152
2.2 2.4 0 0.11 21.2185
2.2 2.4 0.2 0.11 21.2185
2.2 2.4 0.4 0.11 21.2185
2.2 2.6 0 0.11 21.2216
2.2 2.6 0.2 0.11 21.2216
2.2 2.6 0.4 0.11 21.2216
2.2 2.8 0 0.11 21.2243
2.2 2.8 0.2 0.11 21.2243
2.2 2.8 0.4 0.11 21.2243
2.2 3 0 0.11 21.2268
2.2 3 0.2 0.11 21.2268
2.2 3 0.4 0.11 21.2268
2.2 3.2 0 0.11 21.2291
2.2 3.2 0.2 0.11 21.2291
2.2 3.2 0.4 0.11 21.2291
2.2 3.4 0 0.11 21.2311
2.2 3.4 0.2 0.11 21.2311
2.2 3.4 0.4 0.11 21.2311
2.2 3.6 0 0.11 21.2329
2.2 3.6 0.2 0.11 21.2329
2.2 3.6 0.4 0.11 21.2329
2.2 3.8 0 0.11 21.2344
2.2 3.8 0.2 0.11 21.2344
2.2 3.8 0.4 0.11 21.2344
2.2 4 0 0.11 21.2357
2.2 4 0.2 0.11 21.2357
2.2 4 0.4 0.11 21.2357
2.2 4.2 0 0.11 21.2368
2.2 4.2 0.2 0.11 21.2368
2.2 4.2 0.4 0.11 21.2368
2.2 4.4 0 0.11 21.2377
2.2 4.4 0.2 0.11 21.2377
2.2 4.4 0.4 0.11 21.2377
2.2 4.6 0 0.11 21.2383
2.2 4.6 0.2 0.11 21.2383
2.2 4.6 0.4 0.11 21.2383
2.2 4.8 0 0.11 21.2388
2.2 4.8 0.2 0.11 21.2388
2.2 4.8 0.4 0.11 21.2388
2.2 5 0 0.11 21.239
2.2 5 0.2 0.11 21.239
2.2 5 0.4 0.11 21.239
2.4 0 0 0.11 21.1666
2.4 0 0.2 0.11 21.1661
2.4 0 0.4 0.11 21.1666
2.4 0.2 0 0.11 21.174
2.4 0.2 0.2 0.11 21.1739
2.4 0.2 0.4 0.11 21.174
2.4 0.4 0 0.11 21.181
2.4 0.4 0.2 0.11 21.1809
2.4 0.4 0.4 0.11 21.181
2.4 0.6 0 0.11 21.1875
2.4 0.6 0.2 0.11 21.1875
2.4 0.6 0.4 0.11 21.1875
2.4 0.8 0 0.11 21.1937
2.4 0.8 0.2 0.11 21.1937
2.4 0.8 0.4 0.11 21.1937
2.4 1 0 0.11 21.1994
2.4 1 0.2 0.11 21.1994
2.4 1 0.4 0.11 21.1994
2.4 1.2 0 0.11 21.2047
2.4 1.2 0.2 0.11 21.2047
2.4 1.2 0.4 0.11 21.2047
2.4 1.4 0 0.11 21.2097
2.4 1.4 0.2 0.11 21.2097
2.4 1.4 0.4 0.11 21.2097
2.4 1.6 0 0.11 21.2142
2.4 1.6 0.2 0.11 21.2142
2.4 1.6 0.4 0.11 21.2142
2.4 1.8 0 0.11 21.2184
2.4 1.8 0.2 0.11 21.2184
2.4 1.8 0.4 0.11 21.2184
2.4 2 0 0.11 21.2223
2.4 2 0.2 0.11 21.2223
2.4 2 0.4 0.11 21.2223
2.4 2.2 0 0.11 21.2259
2.4 2.2 0.2 0.11 21.2259
2.4 2.2 0.4 0.11 21.2259
2.4 2.4 0 0.11 21.2291
2.4 2.4 0.2 0.11 21.2291
2.4 2.4 0.4 0.11 21.2291
2.4 2.6 0 0.11 21.2321
2.4 2.6 0.2 0.11 21.2321
2.4 2.6 0.4 0.11 21.2321
2.4 2.8 0 0.11 21.2348
2.4 2.8 0.2 0.11 21.2348
2.4 2.8 0.4 0.11 21.2348
2.4 3 0 0.11 21.2373
2.4 3 0.2 0.11 21.2373
2.4 3 0.4 0.11 21.2373
2.4 3.2 0 0.11 21.2395
2.4 3.2 0.2 0.11 21.2395
2.4 3.2 0.4 0.11 21.2395
2.4 3.4 0 0.11 21.2414
2.4 3.4 0.2 0.11 21.2414
2.4 3.4 0.4 0.11 21.2414
2.4 3.6 0 0.11 21.2431
2.4 3.6 0.2 0.11 21.2431
2.4 3.6 0.4 0.11 21.2431
2.4 3.8 0 0.11 21.2446
2.4 3.8 0.2 0.11 21.2446
2.4 3.8 0.4 0.11 21.2446
2.4 4 0 0.11 21.2459
2.4 4 0.2 0.11 21.2459
2.4 4 0.4 0.11 21.2459
2.4 4.2 0 0.11 21.247
2.4 4.2 0.2 0.11 21.247
2.4 4.2 0.4 0.11 21.247
2.4 4.4 0 0.11 21.2478
2.4 4.4 0.2 0.11 21.2478
2.4 4.4 0.4 0.11 21.2478
2.4 4.6 0 0.11 21.2484
2.4 4.6 0.2 0.11 21.2484
2.4 4.6 0.4 0.11 21.2484
2.4 4.8 0 0.11 21.2488
2.4 4.8 0.2 0.11 21.2488
2.4 4.8 0.4 0.11 21.2488
2.4 5 0 0.11 21.249
2.4 5 0.2 0.11 21.249
2.4 5 0.4 0.11 21.249
2.6 0 0 0.11 21.178
2.6 0 0.2 0.11 21.1775
2.6 0 0.4 0.11 21.178
2.6 0.2 0 0.11 21.1854
2.6 0.2 0.2 0.11 21.1853
2.6 0.2 0.4 0.11 21.1854
2.6 0.4 0 0.11 21.1924
2.6 0.4 0.2 0.11 21.1924
2.6 0.4 0.4 0.11 21.1924
2.6 0.6 0 0.11 21.199
2.6 0.6 0.2 0.11 21.199
2.6 0.6 0.4 0.11 21.199
2.6 0.8 0 0.11 21.2051
2.6 0.8 0.2 0.11 21.2051
2.6 0.8 0.4 0.11 21.2051
2.6 1 0 0.11 21.2108
2.6 1 0.2 0.11 21.2108
2.6 1 0.4 0.11 21.2108
2.6 1.2 0 0.11 21.2161
2.6 1.2 0.2 0.11 21.2161
2.6 1.2 0.4 0.11 21.2161
2.6 1.4 0 0.11 21.221
2.6 1.4 0.2 0.11 21.221
2.6 1.4 0.4 0.11 21.221
2.6 1.6 0 0.11 21.2255
2.6 1.6 0.2 0.11 21.2255
2.6 1.6 0.4 0.11 21.2255
2.6 1.8 0 0.11 21.2296
2.6 1.8 0.2 0.11 21.2296
2.6 1.8 0.4 0.11 21.2296
2.6 2 0 0.11 21.2334
2.6 2 0.2 0.11 21.2334
2.6 2 0.4 0.11 21.2334
2.6 2.2 0 0.11 21.2369
2.6 2.2 0.2 0.11 21.2369
2.6 2.2 0.4 0.11 21.2369
2.6 2.4 0 0.11 21.24
2.6 2.4 0.2 0.11 21.24
2.6 2.4 0.4 0.11 21.24
2.6 2.6 0 0.11 21.2429
2.6 2.6 0.2 0.11 21.2429
2.6 2.6 0.4 0.11 21.2429
2.6 2.8 0 0.11 21.2456
2.6 2.8 0.2 0.11 21.2456
2.6 2.8 0.4 0.11 21.2456
2.6 3 0 0.11 21.2479
2.6 3 0.2 0.11 21.2479
2.6 3 0.4 0.11 21.2479
2.6 3.2 0 0.11 21.2501
2.6 3.2 0.2 0.11 21.2501
2.6 3.2 0.4 0.11 21.2501
2.6 3.4 0 0.11 21.2519
2.6 3.4 0.2 0.11 21.2519
2.6 3.4 0.4 0.11 21.2519
2.6 3.6 0 0.11 21.2536
2.6 3.6 0.2 0.11 21.2536
2.6 3.6 0.4 0.11 21.2536
2.6 3.8 0 0.11 21.2551
2.6 3.8 0.2 0.11 21.2551
2.6 3.8 0.4 0.11 21.2551
2.6 4 0 0.11 21.2563
2.6 4 0.2 0.11 21.2563
2.6 4 0.4 0.11 21.2563
2.6 4.2 0 0.11 21.2573
2.6 4.2 0.2 0.11 21.2573
2.6 4.2 0.4 0.11 21.2573
2.6 4.4 0 0.11 21.2581
2.6 4.4 0.2 0.11 21.2581
2.6 4.4 0.4 0.11 21.2581
2.6 4.6 0 0.11 21.2587
2.6 4.6 0.2 0.11 21.2587
2.6 4.6 0.4 0.11 21.2587
2.6 4.8 0 0.11 21.2591
2.6 4.8 0.2 0.11 21.2591
2.6 4.8 0.4 0.11 21.2591
2.6 5 0 0.11 21.2593
2.6 5 0.2 0.11 21.2593
2.6 5 0.4 0.11 21.2593
2.8 0 0 0.11 21.1899
2.8 0 0.2 0.11 21.1894
2.8 0 0.4 0.11 21.1899
2.8 0.2 0 0.11 21.1973
2.8 0.2 0.2 0.11 21.1972
2.8 0.2 0.4 0.11 21.1973
2.8 0.4 0 0.11 21.2044
2.8 0.4 0.2 0.11 21.2044
2.8 0.4 0.4 0.11 21.2044
2.8 0.6 0 0.11 21.2109
2.8 0.6 0.2 0.11 21.2109
2.8 0.6 0.4 0.11 21.211
2.8 0.8 0 0.11 21.217
2.8 0.8 0.2 0.11 21.217
2.8 0.8 0.4 0.11 21.217
2.8 1 0 0.11 21.2227
2.8 1 0.2 0.11 21.2227
2.8 1 0.4 0.11 21.2227
2.8 1.2 0 0.11 21.2279
2.8 1.2 0.2 0.11 21.2279
2.8 1.2 0.4 0.11 21.2279
2.8 1.4 0 0.11 21.2326
2.8 1.4 0.2 0.11 21.2326
2.8 1.4 0.4 0.11 21.2326
2.8 1.6 0 0.11 21.237
2.8 1.6 0.2 0.11 21.237
2.8 1.6 0.4 0.11 21.237
2.8 1.8 0 0.11 21.2411
2.8 1.8 0.2 0.11 21.2411
2.8 1.8 0.4 0.11 21.2411
2.8 2 0 0.11 21.2448
2.8 2 0.2 0.11 21.2448
2.8 2 0.4 0.11 21.2448
2.8 2.2 0 0.11 21.2481
2.8 2.2 0.2 0.11 21.2481
2.8 2.2 0.4 0.11 21.2481
2.8 2.4 0 0.11 21.2512
2.8 2.4 0.2 0.11 21.2512
2.8 2.4 0.4 0.11 21.2512
2.8 2.6 0 0.11 21.254
2.8 2.6 0.2 0.11 21.254
2.8 2.6 0.4 0.11 21.254
2.8 2.8 0 0.11 21.2566
2.8 2.8 0.2 0.11 21.2566
2.8 2.8 0.4 0.11 21.2566
2.8 3 0 0.11 21.2588
2.8 3 0.2 0.11 21.2588
2.8 3 0.4 0.11 21.2588
2.8 3.2 0 0.11 21.2609
2.8 3.2 0.2 0.11 21.2609
2.8 3.2 0.4 0.11 21.2609
2.8 3.4 0 0.11 21.2627
2.8 3.4 0.2 0.11 21.2627
2.8 3.4 0.4 0.11 21.2627
2.8 3.6 0 0.11 21.2643
2.8 3.6 0.2 0.11 21.2643
2.8 3.6 0.4 0.11 21.2643
2.8 3.8 0 0.11 21.2657
2.8 3.8 0.2 0.11 21.2657
2.8 3.8 0.4 0.11 21.2657
2.8 4 0 0.11 21.2669
2.8 4 0.2 0.11 21.2669
2.8 4 0.4 0.11 21.2669
2.8 4.2 0 0.11 21.2679
2.8 4.2 0.2 0.11 21.2679
2.8 4.2 0.4 0.11 21.2679
2.8 4.4 0 0.11 21.2686
2.8 4.4 0.2 0.11 21.2686
2.8 4.4 0.4 0.11 21.2686
2.8 4.6 0 0.11 21.2692
2.8 4.6 0.2 0.11 21.2692
2.8 4.6 0.4 0.11 21.2692
2.8 4.8 0 0.11 21.2696
2.8 4.8 0.2 0.11 21.2696
2.8 4.8 0.4 0.11 21.2696
2.8 5 0 0.11 21.2698
2.8 5 0.2 0.11 21.2698
2.8 5 0.4 0.11 21.2698
3 0 0 0.11 21.2023
3 0 0.2 0.11 21.2018
3 0 0.4 0.11 21.2023
3 0.2 0 0.11 21.2098
3 0.2 0.2 0.11 21.2097
3 0.2 0.4 0.11 21.2098
3 0.4 0 0.11 21.2168
3 0.4 0.2 0.11 21.2168
3 0.4 0.4 0.11 21.2168
3 0.6 0 0.11 21.2234
3 0.6 0.2 0.11 21.2234
3 0.6 0.4 0.11 21.2234
3 0.8 0 0.11 21.2294
3 0.8 0.2 0.11 21.2294
3 0.8 0.4 0.11 21.2294
3 1 0 0.11 21.2349
3 1 0.2 0.11 21.2349
3 1 0.4 0.11 21.2349
3 1.2 0 0.11 21.24
3 1.2 0.2 0.11 21.24
3 1.2 0.4 0.11 21.24
3 1.4 0 0.11 21.2447
3 1.4 0.2 0.11 21.2447
3 1.4 0.4 0.11 21.2447
3 1.6 0 0.11 21.249
3 1.6 0.2 0.11 21.249
3 1.6 0.4 0.11 21.249
3 1.8 0 0.11 21.2529
3 1.8 0.2 0.11 21.2529
3 1.8 0.4 0.11 21.2529
3 2 0 0.11 21.2565
3 2 0.2 0.11 21.2565
3 2 0.4 0.11 21.2565
3 2.2 0 0.11 21.2597
3 2.2 0.2 0.11 21.2597
3 2.2 0.4 0.11 21.2597
3 2.4 0 0.11 21.2627
3 2.4 0.2 0.11 21.2627
3 2.4 0.4 0.11 21.2627
3 2.6 0 0.11 21.2654
3 2.6 0.2 0.11 21.2654
3 2.6 0.4 0.11 21.2654
3 2.8 0 0.11 21.2678
3 2.8 0.2 0.11 21.2678
3 2.8 0.4 0.11 21.2678
3 3 0 0.11 21.27
3 3 0.2 0.11 21.27
3 3 0.4 0.11 21.27
3 3.2 0 0.11 21.2719
3 3.2 0.2 0.11 21.2719
3 3.2 0.4 0.11 21.2719
3 3.4 0 0.11 21.2737
3 3.4 0.2 0.11 21.2737
3 3.4 0.4 0.11 21.2737
3 3.6 0 0.11 21.2752
3 3.6 0.2 0.11 21.2752
3 3.6 0.4 0.11 21.2752
3 3.8 0 0.11 21.2765
3 3.8 0.2 0.11 21.2765
3 3.8 0.4 0.11 21.2765
3 4 0 0.11 21.2777
3 4 0.2 0.11 21.2777
3 4 0.4 0.11 21.2777
3 4.2 0 0.11 21.2786
3 4.2 0.2 0.11 21.2786
3 4.2 0.4 0.11 21.2786
3 4.4 0 0.11 21.2794
3 4.4 0.2 0.11 21.2794
3 4.4 0.4 0.11 21.2794
3 4.6 0 0.11 21.2799
3 4.6 0.2 0.11 21.2799
3 4.6 0.4 0.11 21.2799
3 4.8 0 0.11 21.2803
3 4.8 0.2 0.11 21.2803
3 4.8 0.4 0.11 21.2803
3 5 0 0.11 21.2805
3 5 0.2 0.11 21.2805
3 5 0.4 0.11 21.2805
3.2 0 0 0.11 21.2152
3.2 0 0.2 0.11 21.2147
3.2 0 0.4 0.11 21.2152
3.2 0.2 0 0.11 21.2228
3.2 0.2 0.2 0.11 21.2227
3.2 0.2 0.4 0.11 21.2228
3.2 0.4 0 0.11 21.2298
3.2 0.4 0.2 0.11 21.2298
3.2 0.4 0.4 0.11 21.2298
3.2 0.6 0 0.11 21.2363
3.2 0.6 0.2 0.11 21.2363
3.2 0.6 0.4 0.11 21.2363
3.2 0.8 0 0.11 21.2422
3.2 0.8 0.2 0.11 21.2422
3.2 0.8 0.4 0.11 21.2422
3.2 1 0 0.11 21.2477
3.2 1 0.2 0.11 21.2477
3.2 1 0.4 0.11 21.2477
3.2 1.2 0 0.11 21.2526
3.2 1.2 0.2 0.11 21.2526
3.2 1.2 0.4 0.11 21.2526
3.2 1.4 0 0.11 21.2572
3.2 1.4 0.2 0.11 21.2572
3.2 1.4 0.4 0.11 21.2572
3.2 1.6 0 0.11 21.2613
3.2 1.6 0.2 0.11 21.2613
3.2 1.6 0.4 0.11 21.2613
3.2 1.8 0 0.11 21.2651
3.2 1.8 0.2 0.11 21.2651
3.2 1.8 0.4 0.11 21.2651
3.2 2 0 0.11 21.2685
3.2 2 0.2 0.11 21.2685
3.2 2 0.4 0.11 21.2685
3.2 2.2 0 0.11 21.2716
3.2 2.2 0.2 0.11 21.2716
3.2 2.2 0.4 0.11 21.2716
3.2 2.4 0 0.11 21.2744
3.2 2.4 0.2 0.11 21.2744
3.2 2.4 0.4 0.11 21.2744
3.2 2.6 0 0.11 21.277
3.2 2.6 0.2 0.11 21.277
3.2 2.6 0.4 0.11 21.277
3.2 2.8 0 0.11 21.2793
3.2 2.8 0.2 0.11 21.2793
3.2 2.8 0.4 0.11 21.2793
3.2 3 0 0.11 21.2814
3.2 3 0.2 0.11 21.2814
3.2 3 0.4 0.11 21.2814
3.2 3.2 0 0.11 21.2832
3.2 3.2 0.2 0.11 21.2832
3.2 3.2 0.4 0.11 21.2832
3.2 3.4 0 0.11 21.2849
3.2 3.4 0.2 0.11 21.2849
3.2 3.4 0.4 0.11 21.2849
3.2 3.6 0 0.11 21.2863
3.2 3.6 0.2 0.11 21.2863
3.2 3.6 0.4 0.11 21.2863
3.2 3.8 0 0.11 21.2876
3.2 3.8 0.2 0.11 21.2876
3.2 3.8 0.4 0.11 21.2876
3.2 4 0 0.11 21.2887
3.2 4 0.2 0.11 21.2887
3.2 4 0.4 0.11 21.2887
3.2 4.2 0 0.11 21.2895
3.2 4.2 0.2 0.11 21.2895
3.2 4.2 0.4 0.11 21.2895
3.2 4.4 0 0.11 21.2903
3.2 4.4 0.2 0.11 21.2903
3.2 4.4 0.4 0.11 21.2903
3.2 4.6 0 0.11 21.2908
3.2 4.6 0.2 0.11 21.2908
3.2 4.6 0.4 0.11 21.2908
3.2 4.8 0 0.11 21.2911
3.2 4.8 0.2 0.11 21.2911
3.2 4.8 0.4 0.11 21.2911
3.2 5 0 0.11 21.2913
3.2 5 0.2 0.11 21.2913
3.2 5 0.4 0.11 21.2913
3.4 0 0 0.11 21.2288
3.4 0 0.2 0.11 21.2283
3.4 0 0.4 0.11 21.2288
3.4 0.2 0 0.11 21.2363
3.4 0.2 0.2 0.11 21.2362
3.4 0.2 0.4 0.11 21.2363
3.4 0.4 0 0.11 21.2434
3.4 0.4 0.2 0.11 21.2433
3.4 0.4 0.4 0.11 21.2434
3.4 0.6 0 0.11 21.2498
3.4 0.6 0.2 0.11 21.2498
3.4 0.6 0.4 0.11 21.2498
3.4 0.8 0 0.11 21.2556
3.4 0.8 0.2 0.11 21.2556
3.4 0.8 0.4 0.11 21.2556
3.4 1 0 0.11 21.2609
3.4 1 0.2 0.11 21.2609
3.4 1 0.4 0.11 21.2609
3.4 1.2 0 0.11 21.2657
3.4 1.2 0.2 0.11 21.2657
3.4 1.2 0.4 0.11 21.2657
3.4 1.4 0 0.11 21.27
3.4 1.4 0.2 0.11 21.27
3.4 1.4 0.4 0.11 21.27
3.4 1.6 0 0.11 21.274
3.4 1.6 0.2 0.11 21.274
3.4 1.6 0.4 0.11 21.274
3.4 1.8 0 0.11 21.2776
3.4 1.8 0.2 0.11 21.2776
3.4 1.8 0.4 0.11 21.2776
3.4 2 0 0.11 21.2808
3.4 2 0.2 0.11 21.2808
3.4 2 0.4 0.11 21.2808
3.4 2.2 0 0.11 21.2838
3.4 2.2 0.2 0.11 21.2838
3.4 2.2 0.4 0.11 21.2838
3.4 2.4 0 0.11 21.2864
3.4 2.4 0.2 0.11 21.2864
3.4 2.4 0.4 0.11 21.2864
3.4 2.6 0 0.11 21.2888
3.4 2.6 0.2 0.11 21.2888
3.4 2.6 0.4 0.11 21.2888
3.4 2.8 0 0.11 21.291
3.4 2.8 0.2 0.11 21.291
3.4 2.8 0.4 0.11 21.291
3.4 3 0 0.11 21.293
3.4 3 0.2 0.11 21.293
3.4 3 0.4 0.11 21.293
3.4 3.2 0 0.11 21.2947
3.4 3.2 0.2 0.11 21.2947
3.4 3.2 0.4 0.11 21.2947
3.4 3.4 0 0.11 21.2963
3.4 3.4 0.2 0.11 21.2963
3.4 3.4 0.4 0.11 21.2963
3.4 3.6 0 0.11 21.2976
3.4 3.6 0.2 0.11 21.2976
3.4 3.6 0.4 0.11 21.2976
3.4 3.8 0 0.11 21.2988
3.4 3.8 0.2 0.11 21.2988
3.4 3.8 0.4 0.11 21.2988
3.4 4 0 0.11 21.2998
3.4 4 0.2 0.11 21.2998
3.4 4 0.4 0.11 21.2998
3.4 4.2 0 0.11 21.3007
3.4 4.2 0.2 0.11 21.3007
3.4 4.2 0.4 0.11 21.3007
3.4 4.4 0 0.11 21.3013
3.4 4.4 0.2 0.11 21.3013
3.4 4.4 0.4 0.11 21.3013
3.4 4.6 0 0.11 21.3018
3.4 4.6 0.2 0.11 21.3018
3.4 4.6 0.4 0.11 21.3018
3.4 4.8 0 0.11 21.3022
3.4 4.8 0.2 0.11 21.3022
3.4 4.8 0.4 0.11 21.3022
3.4 5 0 0.11 21.3024
3.4 5 0.2 0.11 21.3024
3.4 5 0.4 0.11 21.3024
3.6 0 0 0.11 21.243
3.6 0 0.2 0.11 21.2425
3.6 0 0.4 0.11 21.243
3.6 0.2 0 0.11 21.2506
3.6 0.2 0.2 0.11 21.2505
3.6 0.2 0.4 0.11 21.2506
3.6 0.4 0 0.11 21.2575
3.6 0.4 0.2 0.11 21.2575
3.6 0.4 0.4 0.11 21.2575
3.6 0.6 0 0.11 21.2638
3.6 0.6 0.2 0.11 21.2638
3.6 0.6 0.4 0.11 21.2638
3.6 0.8 0 0.11 21.2695
3.6 0.8 0.2 0.11 21.2695
3.6 0.8 0.4 0.11 21.2695
3.6 1 0 0.11 21.2746
3.6 1 0.2 0.11 21.2746
3.6 1 0.4 0.11 21.2746
3.6 1.2 0 0.11 21.2792
3.6 1.2 0.2 0.11 21.2792
3.6 1.2 0.4 0.11 21.2792
3.6 1.4 0 0.11 21.2833
3.6 1.4 0.2 0.11 21.2833
3.6 1.4 0.4 0.11 21.2833
3.6 1.6 0 0.11 21.287
3.6 1.6 0.2 0.11 21.287
3.6 1.6 0.4 0.11 21.287
3.6 1.8 0 0.11 21.2904
3.6 1.8 0.2 0.11 21.2904
3.6 1.8 0.4 0.11 21.2904
3.6 2 0 0.11 21.2934
3.6 2 0.2 0.11 21.2934
3.6 2 0.4 0.11 21.2934
3.6 2.2 0 0.11 21.2962
3.6 2.2 0.2 0.11 21.2962
3.6 2.2 0.4 0.11 21.2962
3.6 2.4 0 0.11 21.2987
3.6 2.4 0.2 0.11 21.2987
3.6 2.4 0.4 0.11 21.2987
3.6 2.6 0 0.11 21.3009
3.6 2.6 0.2 0.11 21.3009
3.6 2.6 0.4 0.11 21.3009
3.6 2.8 0 0.11 21.3029
3.6 2.8 0.2 0.11 21.303
3.6 2.8 0.4 0.11 21.303
3.6 3 0 0.11 21.3048
3.6 3 0.2 0.11 21.3048
3.6 3 0.4 0.11 21.3048
3.6 3.2 0 0.11 21.3064
3.6 3.2 0.2 0.11 21.3064
3.6 3.2 0.4 0.11 21.3064
3.6 3.4 0 0.11 21.3078
3.6 3.4 0.2 0.11 21.3078
3.6 3.4 0.4 0.11 21.3078
3.6 3.6 0 0.11 21.3091
3.6 3.6 0.2 0.11 21.3091
3.6 3.6 0.4 0.11 21.3091
3.6 3.8 0 0.11 21.3102
3.6 3.8 0.2 0.11 21.3102
3.6 3.8 0.4 0.11 21.3102
3.6 4 0 0.11 21.3112
3.6 4 0.2 0.11 21.3112
3.6 4 0.4 0.11 21.3112
3.6 4.2 0 0.11 21.312
3.6 4.2 0.2 0.11 21.312
3.6 4.2 0.4 0.11 21.312
3.6 4.4 0 0.11 21.3126
3.6 4.4 0.2 0.11 21.3126
3.6 4.4 0.4 0.11 21.3126
3.6 4.6 0 0.11 21.3131
3.6 4.6 0.2 0.11 21.3131
3.6 4.6 0.4 0.11 21.3131
3.6 4.8 0 0.11 21.3134
3.6 4.8 0.2 0.11 21.3134
3.6 4.8 0.4 0.11 21.3134
3.6 5 0 0.11 21.3136
3.6 5 0.2 0.11 21.3136
3.6 5 0.4 0.11 21.3136
3.8 0 0 0.11 21.258
3.8 0 0.2 0.11 21.2575
3.8 0 0.4 0.11 21.258
3.8 0.2 0 0.11 21.2655
3.8 0.2 0.2 0.11 21.2654
3.8 0.2 0.4 0.11 21.2655
3.8 0.4 0 0.11 21.2724
3.8 0.4 0.2 0.11 21.2724
3.8 0.4 0.4 0.11 21.2724
3.8 0.6 0 0.11 21.2785
3.8 0.6 0.2 0.11 21.2785
3.8 0.6 0.4 0.11 21.2785
3.8 0.8 0 0.11 21.2839
3.8 0.8 0.2 0.11 21.2839
3.8 0.8 0.4 0.11 21.284
3.8 1 0 0.11 21.2888
3.8 1 0.2 0.11 21.2888
3.8 1 0.4 0.11 21.2888
3.8 1.2 0 0.11 21.2931
3.8 1.2 0.2 0.11 21.2931
3.8 1.2 0.4 0.11 21.2931
3.8 1.4 0 0.11 21.297
3.8 1.4 0.2 0.11 21.297
3.8 1.4 0.4 0.11 21.297
3.8 1.6 0 0.11 21.3004
3.8 1.6 0.2 0.11 21.3004
3.8 1.6 0.4 0.11 21.3005
3.8 1.8 0 0.11 21.3036
3.8 1.8 0.2 0.11 21.3036
3.8 1.8 0.4 0.11 21.3036
3.8 2 0 0.11 21.3064
3.8 2 0.2 0.11 21.3064
3.8 2 0.4 0.11 21.3064
3.8 2.2 0 0.11 21.3089
3.8 2.2 0.2 0.11 21.3089
3.8 2.2 0.4 0.11 21.3089
3.8 2.4 0 0.11 21.3112
3.8 2.4 0.2 0.11 21.3112
3.8 2.4 0.4 0.11 21.3112
3.8 2.6 0 0.11 21.3132
3.8 2.6 0.2 0.11 21.3132
3.8 2.6 0.4 0.11 21.3132
3.8 2.8 0 0.11 21.3151
3.8 2.8 0.2 0.11 21.3151
3.8 2.8 0.4 0.11 21.3151
3.8 3 0 0.11 21.3168
3.8 3 0.2 0.11 21.3168
3.8 3 0.4 0.11 21.3168
3.8 3.2 0 0.11 21.3183
3.8 3.2 0.2 0.11 21.3183
3.8 3.2 0.4 0.11 21.3183
3.8 3.4 0 0.11 21.3196
3.8 3.4 0.2 0.11 21.3196
3.8 3.4 0.4 0.11 21.3196
3.8 3.6 0 0.11 21.3208
3.8 3.6 0.2 0.11 21.3208
3.8 3.6 0.4 0.11 21.3208
3.8 3.8 0 0.11 21.3218
3.8 3.8 0.2 0.11 21.3218
3.8 3.8 0.4 0.11 21.3218
3.8 4 0 0.11 21.3227
3.8 4 0.2 0.11 21.3227
3.8 4 0.4 0.11 21.3227
3.8 4.2 0 0.11 21.3234
3.8 4.2 0.2 0.11 21.3234
3.8 4.2 0.4 0.11 21.3234
3.8 4.4 0 0.11 21.324
3.8 4.4 0.2 0.11 21.324
3.8 4.4 0.4 0.11 21.324
3.8 4.6 0 0.11 21.3245
3.8 4.6 0.2 0.11 21.3245
3.8 4.6 0.4 0.11 21.3245
3.8 4.8 0 0.11 21.3248
3.8 4.8 0.2 0.11 21.3248
3.8 4.8 0.4 0.11 21.3248
3.8 5 0 0.11 21.3249
3.8 5 0.2 0.11 21.3249
3.8 5 0.4 0.11 21.3249
4 0 0 0.11 21.2738
4 0 0.2 0.11 21.2733
4 0 0.4 0.11 21.2738
4 0.2 0 0.11 21.2813
4 0.2 0.2 0.11 21.2812
4 0.2 0.4 0.11 21.2813
4 0.4 0 0.11 21.288
4 0.4 0.2 0.11 21.288
4 0.4 0.4 0.11 21.288
4 0.6 0 0.11 21.2939
4 0.6 0.2 0.11 21.2939
4 0.6 0.4 0.11 21.2939
4 0.8 0 0.11 21.299
4 0.8 0.2 0.11 21.299
4 0.8 0.4 0.11 21.299
4 1 0 0.11 21.3035
4 1 0.2 0.11 21.3035
4 1 0.4 0.11 21.3035
4 1.2 0 0.11 21.3075
4 1.2 0.2 0.11 21.3075
4 1.2 0.4 0.11 21.3075
4 1.4 0 0.11 21.311
4 1.4 0.2 0.11 21.3111
4 1.4 0.4 0.11 21.3111
4 1.6 0 0.11 21.3142
4 1.6 0.2 0.11 21.3142
4 1.6 0.4 0.11 21.3142
4 1.8 0 0.11 21.317
4 1.8 0.2 0.11 21.317
4 1.8 0.4 0.11 21.317
4 2 0 0.11 21.3195
4 2 0.2 0.11 21.3195
4 2 0.4 0.11 21.3196
4 2.2 0 0.11 21.3218
4 2.2 0.2 0.11 21.3218
4 2.2 0.4 0.11 21.3218
4 2.4 0 0.11 21.3239
4 2.4 0.2 0.11 21.3239
4 2.4 0.4 0.11 21.3239
4 2.6 0 0.11 21.3257
4 2.6 0.2 0.11 21.3258
4 2.6 0.4 0.11 21.3258
4 2.8 0 0.11 21.3274
4 2.8 0.2 0.11 21.3274
4 2.8 0.4 0.11 21.3275
4 3 0 0.11 21.3289
4 3 0.2 0.11 21.3289
4 3 0.4 0.11 21.329
4 3.2 0 0.11 21.3303
4 3.2 0.2 0.11 21.3303
4 3.2 0.4 0.11 21.3303
4 3.4 0 0.11 21.3315
4 3.4 0.2 0.11 21.3315
4 3.4 0.4 0.11 21.3315
4 3.6 0 0.11 21.3325
4 3.6 0.2 0.11 21.3326
4 3.6 0.4 0.11 21.3326
4 3.8 0 0.11 21.3335
4 3.8 0.2 0.11 21.3335
4 3.8 0.4 0.11 21.3335
4 4 0 0.11 21.3343
4 4 0.2 0.11 21.3343
4 4 0.4 0.11 21.3343
4 4.2 0 0.11 21.335
4 4.2 0.2 0.11 21.335
4 4.2 0.4 0.11 21.335
4 4.4 0 0.11 21.3356
4 4.4 0.2 0.11 21.3356
4 4.4 0.4 0.11 21.3356
4 4.6 0 0.11 21.336
4 4.6 0.2 0.11 21.336
4 4.6 0.4 0.11 21.336
4 4.8 0 0.11 21.3363
4 4.8 0.2 0.11 21.3363
4 4.8 0.4 0.11 21.3363
4 5 0 0.11 21.3364
4 5 0.2 0.11 21.3364
4 5 0.4 0.11 21.3364
4.2 0 0 0.11 21.2907
4.2 0 0.2 0.11 21.2901
4.2 0 0.4 0.11 21.2907
4.2 0.2 0 0.11 21.2981
4.2 0.2 0.2 0.11 21.298
4.2 0.2 0.4 0.11 21.2981
4.2 0.4 0 0.11 21.3045
4.2 0.4 0.2 0.11 21.3044
4.2 0.4 0.4 0.11 21.3045
4.2 0.6 0 0.11 21.3099
4.2 0.6 0.2 0.11 21.3099
4.2 0.6 0.4 0.11 21.31
4.2 0.8 0 0.11 21.3147
4.2 0.8 0.2 0.11 21.3147
4.2 0.8 0.4 0.11 21.3147
4.2 1 0 0.11 21.3188
4.2 1 0.2 0.11 21.3188
4.2 1 0.4 0.11 21.3188
4.2 1.2 0 0.11 21.3223
4.2 1.2 0.2 0.11 21.3224
4.2 1.2 0.4 0.11 21.3224
4.2 1.4 0 0.11 21.3255
4.2 1.4 0.2 0.11 21.3255
4.2 1.4 0.4 0.11 21.3256
4.2 1.6 0 0.11 21.3283
4.2 1.6 0.2 0.11 21.3283
4.2 1.6 0.4 0.11 21.3284
4.2 1.8 0 0.11 21.3307
4.2 1.8 0.2 0.11 21.3308
4.2 1.8 0.4 0.11 21.3308
4.2 2 0 0.11 21.3329
4.2 2 0.2 0.11 21.333
4.2 2 0.4 0.11 21.333
4.2 2.2 0 0.11 21.3349
4.2 2.2 0.2 0.11 21.335
4.2 2.2 0.4 0.11 21.335
4.2 2.4 0 0.11 21.3367
4.2 2.4 0.2 0.11 21.3368
4.2 2.4 0.4 0.11 21.3369
4.2 2.6 0 0.11 21.3384
4.2 2.6 0.2 0.11 21.3385
4.2 2.6 0.4 0.11 21.3385
4.2 2.8 0 0.11 21.3399
4.2 2.8 0.2 0.11 21.34
4.2 2.8 0.4 0.11 21.34
4.2 3 0 0.11 21.3412
4.2 3 0.2 0.11 21.3413
4.2 3 0.4 0.11 21.3413
4.2 3.2 0 0.11 21.3424
4.2 3.2 0.2 0.11 21.3425
4.2 3.2 0.4 0.11 21.3425
4.2 3.4 0 0.11 21.3435
4.2 3.4 0.2 0.11 21.3435
4.2 3.4 0.4 0.11 21.3436
4.2 3.6 0 0.11 21.3444
4.2 3.6 0.2 0.11 21.3445
4.2 3.6 0.4 0.11 21.3445
4.2 3.8 0 0.11 21.3453
4.2 3.8 0.2 0.11 21.3453
4.2 3.8 0.4 0.11 21.3454
4.2 4 0 0.11 21.346
4.2 4 0.2 0.11 21.3461
4.2 4 0.4 0.11 21.3461
4.2 4.2 0 0.11 21.3467
4.2 4.2 0.2 0.11 21.3467
4.2 4.2 0.4 0.11 21.3467
4.2 4.4 0 0.11 21.3472
4.2 4.4 0.2 0.11 21.3473
4.2 4.4 0.4 0.11 21.3473
4.2 4.6 0 0.11 21.3477
4.2 4.6 0.2 0.11 21.3477
4.2 4.6 0.4 0.11 21.3477
4.2 4.8 0 0.11 21.3479
4.2 4.8 0.2 0.11 21.3479
4.2 4.8 0.4 0.11 21.348
4.2 5 0 0.11 21.3481
4.2 5 0.2 0.11 21.3481
4.2 5 0.4 0.11 21.3481
4.4 0 0 0.11 21.3088
4.4 0 0.2 0.11 21.3082
4.4 0 0.4 0.11 21.3088
4.4 0.2 0 0.11 21.3159
4.4 0.2 0.2 0.11 21.3158
4.4 0.2 0.4 0.11 21.3159
4.4 0.4 0 0.11 21.3219
4.4 0.4 0.2 0.11 21.3218
4.4 0.4 0.4 0.11 21.3219
4.4 0.6 0 0.11 21.3268
4.4 0.6 0.2 0.11 21.3268
4.4 0.6 0.4 0.11 21.3268
4.4 0.8 0 0.11 21.3309
4.4 0.8 0.2 0.11 21.331
4.4 0.8 0.4 0.11 21.331
4.4 1 0 0.11 21.3345
4.4 1 0.2 0.11 21.3345
4.4 1 0.4 0.11 21.3346
4.4 1.2 0 0.11 21.3376
4.4 1.2 0.2 0.11 21.3377
4.4 1.2 0.4 0.11 21.3378
4.4 1.4 0 0.11 21.3403
4.4 1.4 0.2 0.11 21.3404
4.4 1.4 0.4 0.11 21.3405
4.4 1.6 0 0.11 21.3426
4.4 1.6 0.2 0.11 21.3427
4.4 1.6 0.4 0.11 21.3429
4.4 1.8 0 0.11 21.3446
4.4 1.8 0.2 0.11 21.3448
4.4 1.8 0.4 0.11 21.345
4.4 2 0 0.11 21.3465
4.4 2 0.2 0.11 21.3466
4.4 2 0.4 0.11 21.3468
4.4 2.2 0 0.11 21.3482
4.4 2.2 0.2 0.11 21.3483
4.4 2.2 0.4 0.11 21.3485
4.4 2.4 0 0.11 21.3497
4.4 2.4 0.2 0.11 21.3499
4.4 2.4 0.4 0.11 21.35
4.4 2.6 0 0.11 21.3512
4.4 2.6 0.2 0.11 21.3513
4.4 2.6 0.4 0.11 21.3515
4.4 2.8 0 0.11 21.3525
4.4 2.8 0.2 0.11 21.3526
4.4 2.8 0.4 0.11 21.3528
4.4 3 0 0.11 21.3536
4.4 3 0.2 0.11 21.3538
4.4 3 0.4 0.11 21.3539
4.4 3.2 0 0.11 21.3546
4.4 3.2 0.2 0.11 21.3548
4.4 3.2 0.4 0.11 21.3549
4.4 3.4 0 0.11 21.3555
4.4 3.4 0.2 0.11 21.3557
4.4 3.4 0.4 0.11 21.3558
4.4 3.6 0 0.11 21.3563
4.4 3.6 0.2 0.11 21.3565
4.4 3.6 0.4 0.11 21.3566
4.4 3.8 0 0.11 21.3571
4.4 3.8 0.2 0.11 21.3572
4.4 3.8 0.4 0.11 21.3574
4.4 4 0 0.11 21.3578
4.4 4 0.2 0.11 21.3579
4.4 4 0.4 0.11 21.358
4.4 4.2 0 0.11 21.3585
4.4 4.2 0.2 0.11 21.3586
4.4 4.2 0.4 0.11 21.3586
4.4 4.4 0 0.11 21.359
4.4 4.4 0.2 0.11 21.3591
4.4 4.4 0.4 0.11 21.3591
4.4 4.6 0 0.11 21.3594
4.4 4.6 0.2 0.11 21.3595
4.4 4.6 0.4 0.11 21.3595
4.4 4.8 0 0.11 21.3597
4.4 4.8 0.2 0.11 21.3597
4.4 4.8 0.4 0.11 21.3598
4.4 5 0 0.11 21.3599
4.4 5 0.2 0.11 21.3599
4.4 5 0.4 0.11 21.3599
4.6 0 0 0.11 21.3284
4.6 0 0.2 0.11 21.3279
4.6 0 0.4 0.11 21.3284
4.6 0.2 0 0.11 21.3351
4.6 0.2 0.2 0.11 21.335
4.6 0.2 0.4 0.11 21.3351
4.6 0.4 0 0.11 21.3403
4.6 0.4 0.2 0.11 21.3403
4.6 0.4 0.4 0.11 21.3403
4.6 0.6 0 0.11 21.3444
4.6 0.6 0.2 0.11 21.3444
4.6 0.6 0.4 0.11 21.3444
4.6 0.8 0 0.11 21.3477
4.6 0.8 0.2 0.11 21.3478
4.6 0.8 0.4 0.11 21.3479
4.6 1 0 0.11 21.3506
4.6 1 0.2 0.11 21.3508
4.6 1 0.4 0.11 21.3509
4.6 1.2 0 0.11 21.3531
4.6 1.2 0.2 0.11 21.3534
4.6 1.2 0.4 0.11 21.3537
4.6 1.4 0 0.11 21.3553
4.6 1.4 0.2 0.11 21.3556
4.6 1.4 0.4 0.11 21.356
4.6 1.6 0 0.11 21.3571
4.6 1.6 0.2 0.11 21.3574
4.6 1.6 0.4 0.11 21.3579
4.6 1.8 0 0.11 21.3586
4.6 1.8 0.2 0.11 21.359
4.6 1.8 0.4 0.11 21.3594
4.6 2 0 0.11 21.3601
4.6 2 0.2 0.11 21.3604
4.6 2 0.4 0.11 21.3609
4.6 2.2 0 0.11 21.3614
4.6 2.2 0.2 0.11 21.3617
4.6 2.2 0.4 0.11 21.3622
4.6 2.4 0 0.11 21.3627
4.6 2.4 0.2 0.11 21.363
4.6 2.4 0.4 0.11 21.3635
4.6 2.6 0 0.11 21.3639
4.6 2.6 0.2 0.11 21.3644
4.6 2.6 0.4 0.11 21.3647
4.6 2.8 0 0.11 21.3651
4.6 2.8 0.2 0.11 21.3655
4.6 2.8 0.4 0.11 21.3658
4.6 3 0 0.11 21.366
4.6 3 0.2 0.11 21.3664
4.6 3 0.4 0.11 21.3668
4.6 3.2 0 0.11 21.3668
4.6 3.2 0.2 0.11 21.3673
4.6 3.2 0.4 0.11 21.3676
4.6 3.4 0 0.11 21.3675
4.6 3.4 0.2 0.11 21.368
4.6 3.4 0.4 0.11 21.3683
4.6 3.6 0 0.11 21.3682
4.6 3.6 0.2 0.11 21.3686
4.6 3.6 0.4 0.11 21.3689
4.6 3.8 0 0.11 21.3688
4.6 3.8 0.2 0.11 21.3692
4.6 3.8 0.4 0.11 21.3695
4.6 4 0 0.11 21.3696
4.6 4 0.2 0.11 21.3699
4.6 4 0.4 0.11 21.3701
4.6 4.2 0 0.11 21.3703
4.6 4.2 0.2 0.11 21.3705
4.6 4.2 0.4 0.11 21.3707
4.6 4.4 0 0.11 21.3709
4.6 4.4 0.2 0.11 21.371
4.6 4.4 0.4 0.11 21.3711
4.6 4.6 0 0.11 21.3713
4.6 4.6 0.2 0.11 21.3714
4.6 4.6 0.4 0.11 21.3715
4.6 4.8 0 0.11 21.3716
4.6 4.8 0.2 0.11 21.3717
4.6 4.8 0.4 0.11 21.3717
4.6 5 0 0.11 21.3718
4.6 5 0.2 0.11 21.3718
4.6 5 0.4 0.11 21.3718
4.8 0 0 0.11 21.3503
4.8 0 0.2 0.11 21.3498
4.8 0 0.4 0.11 21.3503
4.8 0.2 0 0.11 21.3559
4.8 0.2 0.2 0.11 21.3558
4.8 0.2 0.4 0.11 21.3559
4.8 0.4 0 0.11 21.3598
4.8 0.4 0.2 0.11 21.3598
4.8 0.4 0.4 0.11 21.3598
4.8 0.6 0 0.11 21.3627
4.8 0.6 0.2 0.11 21.3627
4.8 0.6 0.4 0.11 21.3628
4.8 0.8 0 0.11 21.365
4.8 0.8 0.2 0.11 21.3651
4.8 0.8 0.4 0.11 21.3652
4.8 1 0 0.11 21.367
4.8 1 0.2 0.11 21.3673
4.8 1 0.4 0.11 21.3677
4.8 1.2 0 0.11 21.3688
4.8 1.2 0.2 0.11 21.3693
4.8 1.2 0.4 0.11 21.3705
4.8 1.4 0 0.11 21.3703
4.8 1.4 0.2 0.11 21.371
4.8 1.4 0.4 0.11 21.3724
4.8 1.6 0 0.11 21.3715
4.8 1.6 0.2 0.11 21.3722
4.8 1.6 0.4 0.11 21.3737
4.8 1.8 0 0.11 21.3725
4.8 1.8 0.2 0.11 21.3732
4.8 1.8 0.4 0.11 21.3746
4.8 2 0 0.11 21.3734
4.8 2 0.2 0.11 21.3741
4.8 2 0.4 0.11 21.3755
4.8 2.2 0 0.11 21.3743
4.8 2.2 0.2 0.11 21.375
4.8 2.2 0.4 0.11 21.3764
4.8 2.4 0 0.11 21.3753
4.8 2.4 0.2 0.11 21.3761
4.8 2.4 0.4 0.11 21.3774
4.8 2.6 0 0.11 21.3764
4.8 2.6 0.2 0.11 21.3776
4.8 2.6 0.4 0.11 21.3785
4.8 2.8 0 0.11 21.3774
4.8 2.8 0.2 0.11 21.3787
4.8 2.8 0.4 0.11 21.3794
4.8 3 0 0.11 21.378
4.8 3 0.2 0.11 21.3794
4.8 3 0.4 0.11 21.3801
4.8 3.2 0 0.11 21.3786
4.8 3.2 0.2 0.11 21.3799
4.8 3.2 0.4 0.11 21.3806
4.8 3.4 0 0.11 21.3791
4.8 3.4 0.2 0.11 21.3804
4.8 3.4 0.4 0.11 21.3811
4.8 3.6 0 0.11 21.3796
4.8 3.6 0.2 0.11 21.3809
4.8 3.6 0.4 0.11 21.3816
4.8 3.8 0 0.11 21.3801
4.8 3.8 0.2 0.11 21.3814
4.8 3.8 0.4 0.11 21.382
4.8 4 0 0.11 21.3809
4.8 4 0.2 0.11 21.382
4.8 4 0.4 0.11 21.3825
4.8 4.2 0 0.11 21.3821
4.8 4.2 0.2 0.11 21.3826
4.8 4.2 0.4 0.11 21.3829
4.8 4.4 0 0.11 21.3828
4.8 4.4 0.2 0.11 21.3832
4.8 4.4 0.4 0.11 21.3833
4.8 4.6 0 0.11 21.3833
4.8 4.6 0.2 0.11 21.3835
4.8 4.6 0.4 0.11 21.3836
4.8 4.8 0 0.11 21.3837
4.8 4.8 0.2 0.11 21.3838
4.8 4.8 0.4 0.11 21.3838
4.8 5 0 0.11 21.3839
4.8 5 0.2 0.11 21.3839
4.8 5 0.4 0.11 21.3839
5 0 0 0.11 21.3756
5 0 0.2 0.11 21.3752
5 0 0.4 0.11 21.3756
5 0.2 0 0.11 21.3786
5 0.2 0.2 0.11 21.3785
5 0.2 0.4 0.11 21.3786
5 0.4 0 0.11 21.3803
5 0.4 0.2 0.11 21.3803
5 0.4 0.4 0.11 21.3804
5 0.6 0 0.11 21.3815
5 0.6 0.2 0.11 21.3816
5 0.6 0.4 0.11 21.3816
5 0.8 0 0.11 21.3825
5 0.8 0.2 0.11 21.3826
5 0.8 0.4 0.11 21.3827
5 1 0 0.11 21.3833
5 1 0.2 0.11 21.3837
5 1 0.4 0.11 21.3844
5 1.2 0 0.11 21.3842
5 1.2 0.2 0.11 21.3851
5 1.2 0.4 0.11 21.3895
5 1.4 0 0.11 21.3848
5 1.4 0.2 0.11 21.386
5 1.4 0.4 0.11 21.3909
5 1.6 0 0.11 21.3853
5 1.6 0.2 0.11 21.3865
5 1.6 0.4 0.11 21.3913
5 1.8 0 0.11 21.3857
5 1.8 0.2 0.11 21.3868
5 1.8 0.4 0.11 21.3912
5 2 0 0.11 21.386
5 2 0.2 0.11 21.3871
5 2 0.4 0.11 21.3914
5 2.2 0 0.11 21.3864
5 2.2 0.2 0.11 21.3876
5 2.2 0.4 0.11 21.3918
5 2.4 0 0.11 21.387
5 2.4 0.2 0.11 21.3884
5 2.4 0.4 0.11 21.3924
5 2.6 0 0.11 21.388
5 2.6 0.2 0.11 21.3917
5 2.6 0.4 0.11 21.3933
5 2.8 0 0.11 21.3886
5 2.8 0.2 0.11 21.3928
5 2.8 0.4 0.11 21.3939
5 3 0 0.11 21.3889
5 3 0.2 0.11 21.3931
5 3 0.4 0.11 21.3942
5 3.2 0 0.11 21.3891
5 3.2 0.2 0.11 21.3933
5 3.2 0.4 0.11 21.3945
5 3.4 0 0.11 21.3893
5 3.4 0.2 0.11 21.3936
5 3.4 0.4 0.11 21.3947
5 3.6 0 0.11 21.3895
5 3.6 0.2 0.11 21.3938
5 3.6 0.4 0.11 21.3949
5 3.8 0 0.11 21.3899
5 3.8 0.2 0.11 21.3941
5 3.8 0.4 0.11 21.3951
5 4 0 0.11 21.3907
5 4 0.2 0.11 21.3944
5 4 0.4 0.11 21.3953
5 4.2 0 0.11 21.394
5 4.2 0.2 0.11 21.3952
5 4.2 0.4 0.11 21.3956
5 4.4 0 0.11 21.3947
5 4.4 0.2 0.11 21.3956
5 4.4 0.4 0.11 21.3958
5 4.6 0 0.11 21.3951
5 4.6 0.2 0.11 21.3958
5 4.6 0.4 0.11 21.3959
5 4.8 0 0.11 21.3959
5 4.8 0.2 0.11 21.396
5 4.8 0.4 0.11 21.396
5 5 0 0.11 21.396
5 5 0.2 0.11 21.3961
5 5 0.4 0.11 21.3961

BR
Przemek

Jan Stránský (honzik) said : #16

This is the same, 2028 particles in txt file 2027 in vtk file
Jan

Przemek (przemekn) said : #17

Yes, you have right. But why in paraview more than one parcicle are missed? And this issue is also in case with less particles, e.g. when the vtk file contain 675 particles three of them are not visible...

Jan Stránský (honzik) said : #18

There might be several reasons, e.g. one particle could be "inside" another particle and therefore not visible..
Or (as mentioned before) Paraview is hiding some particles "by default".
E.g. in Paraview 5.6.1 even for 36 particles, only roughly 2/3 are shown. I have to go to "Masking" section of "Properties" tab and select "Glyph Mode" to "All points" (instead of default "Uniform Spatial Distribution"). I use Sphere glyph to show the data.
Jan

Jan Stránský (honzik) said : #19

fixed in MR [2]. You can copy-paste the new code of export.text2vtk in the export module or you can save it as a user defined function.
cheers
Jan

[2] https://gitlab.com/yade-dev/trunk/-/merge_requests/477

Przemek (przemekn) said : #20

Hi,

now it works! Thanks a lot! :)

BR
Przemek