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s434678:master
s434678:raczejostatni
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s434678:krzywizna

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Author SHA1 Message Date
Przemysław Owczarczyk
f190c28cd2 lel 2019-05-15 11:24:52 +00:00
7 changed files with 6 additions and 180 deletions
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Populus nigra italica.pptx
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Studia.7z
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86
drzewo.lpy
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@ -1,86 +0,0 @@
import random
a = 50
length = 2
dl = 0.05
globalwidth = 1.5
degree = 70
def Start():
#random.seed(150)
pass
Axiom: SetGuide(treepath,90)_(1)@GsG(0.5)A(1,0.30)
derivation length: 100
production:
A(x,k) :
if k < 3.5:
if x <= 7:
produce /(96)F(0.7,1-k/5)A(x+1,k+0.01)
elif x <= 14:
produce /(degree)F(0.7,1-k/5)[SetGuide(treepath2,8)_(0.2)&(90)-(60)B(1,k)]A(x+1,k+0.1)
else:
x = 0
produce A(x+1,k+0.01)
elif k < 4:
produce /(degree)F(0.7,1-k/5)[SetGuide(finish,8)_(0.2)&(90)-(60)B(1,k)]A(x+1,k+0.1)
B(x,k):
r = random.random()
if x <= 20:
produce F(0.8,0.05+0.25/k)[/(r*500)+(20)_(0.02)F(1)C(1,1.0)]B(x+1,k+1)
C(x,k):
r = random.random()
if x <= 3:
produce F(0.6)C(x+1,k+1);(2)Leaf()
Leaf():
produce Sweep(path,section,length,dl,globalwidth,leafwidth)
interpretation:
endlsystem
###### INITIALISATION ######
__lpy_code_version__ = 1.1
def __initialiseContext__(context):
import openalea.plantgl.all as pgl
Color_1 = pgl.Material("Color_1" , ambient = (66,33,0) , diffuse = 0 , specular = (204,204,204) , )
Color_1.name = "Color_1"
context.turtle.setMaterial(1,Color_1)
Color_2 = pgl.Material("Color_2" , ambient = (6,13,2) , diffuse = 5.76923 , )
Color_2.name = "Color_2"
context.turtle.setMaterial(2,Color_2)
import openalea.plantgl.all as pgl
path = pgl.BezierCurve2D(
pgl.Point3Array([(-0.5, 0, 1),(-0.326083, -0.0978345, 1),(-0.0956592, 0.0176126, 1),(0.0620721, -0.00621237, 1)]) ,
)
path.name = "path"
section = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(-0.672727, 0, 1),(-0.324715, 0.227106, 1),(0.023332, -0.20146, 1),(0.337225, -0.0436618, 1),(0.695455, 0.00454545, 1)]) ,
)
section.name = "section"
import openalea.plantgl.all as pgl
leafwidth = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(0, 0, 1),(0.0305872, 0.539066, 1),(0.125225, 0.681196, 1),(0.344686, 0.720503, 1),(0.544193, 0.504133, 1),(0.695718, 0.293404, 1),(0.731597, 0.166532, 1),(0.771218, 0.0592187, 1),(0.897377, 0.030847, 1),(1, -0.000465795, 1)]) ,
)
leafwidth.name = "leafwidth"
treepath = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(-0.5, 0, 1),(-0.238627, 0.00619407, 1),(-0.07298, -0.00805499, 1),(0.0491646, 0.0141531, 1),(0.234358, -9.59484e-005, 1),(0.398942, -0.00805499, 1),(0.565017, -0.00943561, 1)]) ,
)
treepath.name = "treepath"
finish = pgl.BezierCurve2D(
pgl.Point3Array([(-0.465217, 0.00434783, 1),(-0.310145, 0.0826087, 1),(-0.324638, 0.456522, 1),(-0.34633, 0.672535, 1)]) ,
)
finish.name = "finish"
treepath2 = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(-0.00917746, 0.0133432, 1),(0.72348, 1.57179, 1),(3.10364, 2.97222, 1),(3.50129, 4.69656, 1),(3.82637, 6.13593, 1)]) ,
)
treepath2.name = "treepath2"
panel_0 = ({'active': True, 'visible': True, 'name': 'Panel 1'},[('Curve2D',path),('Curve2D',section),('Function',leafwidth),('Curve2D',treepath),('Curve2D',finish),('Curve2D',treepath2)])
parameterset = [panel_0,]
context["__functions__"] = [('leafwidth',leafwidth),]
context["__curves__"] = [('path',path),('section',section),('treepath',treepath),('finish',finish),('treepath2',treepath2),]
context["__parameterset__"] = parameterset
context["path"] = path
context["section"] = section
context["leafwidth"] = pgl.QuantisedFunction(leafwidth)
context["treepath"] = treepath
context["finish"] = finish
context["treepath2"] = treepath2

86
drzewo.lpy~
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@ -1,86 +0,0 @@
import random
a = 50
length = 2
dl = 0.05
globalwidth = 1.5
degree = 70
def Start():
#random.seed(150)
pass
Axiom: SetGuide(treepath,90)_(1)@GsG(0.5)A(1,0.30)
derivation length: 100
production:
A(x,k) :
if k < 3.5:
if x <= 7:
produce /(96)F(0.7,1-k/5)A(x+1,k+0.01)
elif x <= 14:
produce /(degree)F(0.7,1-k/5)[SetGuide(treepath2,8)_(0.2)&(90)-(60)B(1,k)]A(x+1,k+0.1)
else:
x = 0
produce A(x+1,k+0.01)
elif k < 4:
produce /(degree)F(0.7,1-k/5)[SetGuide(finish,8)_(0.2)&(90)-(60)B(1,k)]A(x+1,k+0.1)
B(x,k):
r = random.random()
if x <= 20:
produce F(0.8,0.05+0.25/k)[/(r*500)+(20)_(0.02)F(1)C(1,1.0)]B(x+1,k+1)
C(x,k):
r = random.random()
if x <= 3:
produce F(0.6)C(x+1,k+1);(2)&(r*200)Leaf()
Leaf():
produce Sweep(path,section,length,dl,globalwidth,leafwidth)
interpretation:
endlsystem
###### INITIALISATION ######
__lpy_code_version__ = 1.1
def __initialiseContext__(context):
import openalea.plantgl.all as pgl
Color_1 = pgl.Material("Color_1" , ambient = (66,33,0) , diffuse = 0 , specular = (204,204,204) , )
Color_1.name = "Color_1"
context.turtle.setMaterial(1,Color_1)
Color_2 = pgl.Material("Color_2" , ambient = (6,13,2) , diffuse = 5.76923 , )
Color_2.name = "Color_2"
context.turtle.setMaterial(2,Color_2)
import openalea.plantgl.all as pgl
path = pgl.BezierCurve2D(
pgl.Point3Array([(-0.5, 0, 1),(-0.326083, -0.0978345, 1),(-0.0956592, 0.0176126, 1),(0.0620721, -0.00621237, 1)]) ,
)
path.name = "path"
section = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(-0.672727, 0, 1),(-0.324715, 0.227106, 1),(0.023332, -0.20146, 1),(0.337225, -0.0436618, 1),(0.695455, 0.00454545, 1)]) ,
)
section.name = "section"
import openalea.plantgl.all as pgl
leafwidth = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(0, 0, 1),(0.0305872, 0.539066, 1),(0.125225, 0.681196, 1),(0.344686, 0.720503, 1),(0.544193, 0.504133, 1),(0.695718, 0.293404, 1),(0.731597, 0.166532, 1),(0.771218, 0.0592187, 1),(0.897377, 0.030847, 1),(1, -0.000465795, 1)]) ,
)
leafwidth.name = "leafwidth"
treepath = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(-0.5, 0, 1),(-0.238627, 0.00619407, 1),(-0.07298, -0.00805499, 1),(0.0491646, 0.0141531, 1),(0.234358, -9.59484e-005, 1),(0.398942, -0.00805499, 1),(0.565017, -0.00943561, 1)]) ,
)
treepath.name = "treepath"
finish = pgl.BezierCurve2D(
pgl.Point3Array([(-0.465217, 0.00434783, 1),(-0.310145, 0.0826087, 1),(-0.324638, 0.456522, 1),(-0.408696, 0.669565, 1)]) ,
)
finish.name = "finish"
treepath2 = pgl.NurbsCurve2D(
ctrlPointList = pgl.Point3Array([(-0.00917746, 0.0133432, 1),(0.72348, 1.57179, 1),(3.10364, 2.97222, 1),(3.50129, 4.69656, 1),(3.82637, 6.13593, 1)]) ,
)
treepath2.name = "treepath2"
panel_0 = ({'active': True, 'visible': True, 'name': 'Panel 1'},[('Curve2D',path),('Curve2D',section),('Function',leafwidth),('Curve2D',treepath),('Curve2D',finish),('Curve2D',treepath2)])
parameterset = [panel_0,]
context["__functions__"] = [('leafwidth',leafwidth),]
context["__curves__"] = [('path',path),('section',section),('treepath',treepath),('finish',finish),('treepath2',treepath2),]
context["__parameterset__"] = parameterset
context["path"] = path
context["section"] = section
context["leafwidth"] = pgl.QuantisedFunction(leafwidth)
context["treepath"] = treepath
context["finish"] = finish
context["treepath2"] = treepath2

10
populus_nigra_italica.lpy
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@ -9,22 +9,22 @@ derivation length: 50
production:
A(x,k) :
if x >= a-20:
produce [-(a-x)F(1,0.05+0.25/k)C(1,k)]/(75)F(0.7,0.05+0.25/k)A(x+1,k+0.1)
produce [-(a-x)SetGuide(path,50)F(1,0.05+0.25/k)C(1,k)]/(75)SetGuide(path,50)F(0.7,0.05+0.25/k)A(x+1,k+0.1)
elif x <= 5:
produce F(0.7,0.05+0.25/k)A(x+1,k+0.1)
else:
produce[-(30)F(1,0.05+0.25/k)B(1,k)]/(75)F(0.5,0.05+0.25/k)A(x+1,k+0.1)
produce[-(30)SetGuide(path,50)F(1,0.05+0.25/k)B(1,k)]/(75)SetGuide(path,50)F(0.5,0.05+0.25/k)A(x+1,k+0.1)
B(x,k):
if x <= 5:
r1 = random.random()
r2 = random.random()
produce [^(r1*50)F(1,0.05+0.25/k)-(20);Leaf(1)][&(r2*50)F(1,0.05+0.25/k)-(20);Leaf(1)]F(1,0.05+0.25/k)[-(20);Leaf(1)]B(x+1,k+1)
produce [^(r1*50)SetGuide(path,10)F(1,0.05+0.25/k)-(20);Leaf(1)][&(r2*50)F(1,0.05+0.25/k)-(20);Leaf(1)]SetGuide(path,10)F(1,0.05+0.25/k)[-(20);Leaf(1)]B(x+1,k+1)
C(x,k):
if x <= 5:
r1 = random.random()
r2 = random.random()
produce [^(r1*50)F(1,0.05+0.25/k)-(20);Leaf(1)]F(1,0.05+0.25/k)[-(20);Leaf(1)]C(x+1,k+1)
produce [^(r1*50)SetGuide(path,50)F(1,0.05+0.25/k)-(20);Leaf(1)]SetGuide(path,50)SetGuide(path,0)F(1,0.05+0.25/k)[-(20);Leaf(1)]C(x+1,k+1)
Leaf(x):
produce ~l(1)
produce ,(2) ~l(1)
interpretation:
endlsystem

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sadsad.txt
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@ -1,2 +0,0 @@
http://www.danubeparks.org/files/1903_BlackPoplarMonography.pdf?fbclid=IwAR0tYSylgoFSudPO0EVTCmurQyXj8SO4uI2vLa14_NFRo0hcCXmjW2vKNIQ
http://www.hrpub.org/download/20160130/UJPS2-10305549.pdf

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statystyka-1.docx
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