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# Data declarations for the standard markers.
real mpx[86], mpy[86] # marker polyline points
int moff[9] # offsets of the markers in mpx and mpy
int mnpts[9] # number of points in each polyline
int k # implied do-loop dummy index
# Box.
data (mpx(k),k=01,05) /0.0, 1.0, 1.0, 0.0, 0.0/
data (mpy(k),k=01,05) /0.0, 0.0, 1.0, 1.0, 0.0/
data moff[1] /1/, mnpts[1] /5/
# Plus.
data (mpx(k),k=06,10) /0.5, 0.5, 0.5, 0.0, 1.0/
data (mpy(k),k=06,10) /0.0, 1.0, 0.5, 0.5, 0.5/
data moff[2] /6/, mnpts[2] /5/
# Cross.
data (mpx(k),k=11,15) /0.0, 1.0, 0.5, 0.0, 1.0/
data (mpy(k),k=11,15) /0.0, 1.0, 0.5, 1.0, 0.0/
data moff[3] /11/, mnpts[3] /5/
# Diamond.
data (mpx(k),k=16,20) /0.5, 1.0, 0.5, 0.0, 0.5/
data (mpy(k),k=16,20) /0.0, 0.5, 1.0, 0.5, 0.0/
data moff[4] /16/, mnpts[4] /5/
# Horizonal line.
data (mpx(k),k=21,22) /0.0, 1.0/
data (mpy(k),k=21,22) /0.5, 0.5/
data moff[5] /21/, mnpts[5] /2/
# Vertical line.
data (mpx(k),k=23,24) /0.5, 0.5/
data (mpy(k),k=23,24) /0.0, 1.0/
data moff[6] /23/, mnpts[6] /2/
# Horizontal error bar.
data (mpx(k),k=25,30) /0.0, 0.0, 0.0, 1.0, 1.0, 1.0/
data (mpy(k),k=25,30) /0.0, 1.0, 0.5, 0.5, 1.0, 0.0/
data moff[7] /25/, mnpts[7] /6/
# Vertical error bar.
data (mpx(k),k=31,36) /0.0, 1.0, 0.5, 0.5, 1.0, 0.0/
data (mpy(k),k=31,36) /0.0, 0.0, 0.0, 1.0, 1.0, 1.0/
data moff[8] /31/, mnpts[8] /6/
# Circle.
data (mpx(k),k=37,41) /1.000, 0.996, 0.984, 0.963, 0.936/ # X
data (mpx(k),k=42,46) /0.901, 0.859, 0.812, 0.759, 0.702/
data (mpx(k),k=47,51) /0.642, 0.580, 0.516, 0.452, 0.389/
data (mpx(k),k=52,56) /0.327, 0.269, 0.214, 0.164, 0.119/
data (mpx(k),k=57,61) /0.081, 0.050, 0.025, 0.009, 0.001/
data (mpx(k),k=62,66) /0.001, 0.009, 0.025, 0.050, 0.081/
data (mpx(k),k=67,71) /0.119, 0.164, 0.214, 0.269, 0.327/
data (mpx(k),k=72,76) /0.389, 0.452, 0.516, 0.580, 0.642/
data (mpx(k),k=77,81) /0.702, 0.759, 0.812, 0.859, 0.901/
data (mpx(k),k=82,86) /0.936, 0.963, 0.984, 0.996, 1.000/
data (mpy(k),k=37,41) /0.500, 0.564, 0.627, 0.688, 0.745/ # Y
data (mpy(k),k=42,46) /0.799, 0.848, 0.891, 0.928, 0.957/
data (mpy(k),k=47,51) /0.979, 0.994, 1.000, 0.998, 0.987/
data (mpy(k),k=52,56) /0.969, 0.943, 0.910, 0.870, 0.824/
data (mpy(k),k=57,61) /0.773, 0.717, 0.658, 0.596, 0.532/
data (mpy(k),k=62,66) /0.468, 0.404, 0.342, 0.283, 0.227/
data (mpy(k),k=67,71) /0.176, 0.130, 0.090, 0.057, 0.031/
data (mpy(k),k=72,76) /0.013, 0.002, 0.000, 0.006, 0.021/
data (mpy(k),k=77,81) /0.043, 0.072, 0.109, 0.152, 0.201/
data (mpy(k),k=82,86) /0.255, 0.312, 0.373, 0.436, 0.500/
data moff[9] /37/, mnpts[9] /50/
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