cribes a set of machine movements in X, Y and Z (Z being Pen Up and Pen Down) directions. It very closely related to G-code in this way - just slightly more simple than G-code overall.
For tool selection you use the Select Pen - SPx - command, x is the number of the pen you are using. As I'm using a vinyl cutter without a pen/tool changer I just use SP1 in the file header/ini of the cutter.
Without knowing the full spec of your machine it is hard to say for certain BUT all of my experience with CNC machines - of all sizes and spec levels - the actual control files are pretty much the same. Very simple text based HPGL or G-code text files run all motion control - even on things like 7 axis robot arms etc. For plotting I'd expect you'd be able to get a usable HPGL/PLT file without a lot of work - its just a matter of matching the file to what the machine is expecting.
To answer your question about getting the file to the printer its maybe best to explain it this way: there are two parts to this project1/ Create the correctly formatted text/hpgl/plt file ready to send to the printer2/ Send the file to printer
For part 1/ the procedure is:
Select the curves you want to printConvert the curves into a set of pointsFormat these points into HPGL Save this HPGL as a text file
For 2/ we need a way to stream the text file to a printer port
To do this I've used an old dos command line technique that allows allow you to 'copy' a text file to a printer LPT or COM port:
copy /b c:\spool\ini.plt LPT1
Type the above into a DOS command line and it will send a text file called ini.plt to the printer on LPT1 port. As you'll see in my attached code I use os.system calls in my python code to send files when needed.
So your original code was doing some strange things with the conversion from curves to points. Lines/Polylines were OK - with the code just using the line end points. For curves and polycurves the code code was exploding these into segments and then dividing into set of points. However this led to two issues: - curves that started off as closed polycurves would end up being plotted as open curve segments - which is not very good for a cut file and not very smooth for a plot file.- the division of the curves to points was by distance - and if this wasn't an exact division of the length of the curve the end point would not match up with the next line - again not ideal for a cutting file which needs to be a closed curve.
To solve the above I changed to using rs.ConvertCurveToPolyline - with the tolerance set to match the HPGL resolution of 0.025mm - this converts all curves needed to plot to polylines, leaves everything closed and ends points line up perfectly.
I had one other problem with my setup - I ran into a file size/curve number/plotting points upper limit. A small number of curves would cut/plot fine, however at a certain number in one file the print driver would throw an error and the plotter would not even start plotting the file. I could not work out where is the system this limit was being imposed. The current working version of my code is attached - it gets around this file size limit by creating a separate print file for each curve required and sending them to the plotter in sequence. Not as completely tidy as I'd like as it flashes up a cmd window on every loop - but plots/cuts are perfect.
The final 'nice touch' for the project is I've created a custom tool bar button to run the script - all I have to do to cut a file is hit the button on the tool bar, select the curves and hit enter = SO EASY!
I've attached my latest code, a sample HPGL file to plot a rectangle, and a screen shot of setting up the custom toolbar button.
Cheers
DK…
he "return" is comment out as shown below?
After restarting Rhino and Grasshopper, I opened the outdoors_airflow demo file, and the first step of creating the case file is ok:
Then the blockMesh component gives the following error: seems I have to manually start OF first..
so, as the error message suggested, I open OF by Start_OF.bat:
Then come back to the blockMesh component, now it can be executed while the OF command line window is also openning:
... and the blockMesh finished successfully:
... so I proceeded to run snappyHexMesh, checkMesh and update fvScheme:
... up to the simpleFoam component, I got the error again:
The warning message is:
1. Solution exception: --> OpenFOAM command Failed!#0 Foam::error::printStack(Foam::Ostream&) in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #1 Foam::sigFpe::sigHandler(int) in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #2 ? in "/lib64/libc.so.6" #3 double Foam::sumProd<double>(Foam::UList<double> const&, Foam::UList<double> const&) in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #4 Foam::PCG::solve(Foam::Field<double>&, Foam::Field<double> const&, unsigned char) const in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #5 Foam::GAMGSolver::solveCoarsestLevel(Foam::Field<double>&, Foam::Field<double> const&) const in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #6 Foam::GAMGSolver::Vcycle(Foam::PtrList<Foam::lduMatrix::smoother> const&, Foam::Field<double>&, Foam::Field<double> const&, Foam::Field<double>&, Foam::Field<double>&, Foam::Field<double>&, Foam::Field<double>&, Foam::Field<double>&, Foam::PtrList<Foam::Field<double> >&, Foam::PtrList<Foam::Field<double> >&, unsigned char) const in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #7 Foam::GAMGSolver::solve(Foam::Field<double>&, Foam::Field<double> const&, unsigned char) const in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libOpenFOAM.so" #8 Foam::fvMatrix<double>::solveSegregated(Foam::dictionary const&) in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/lib/libfiniteVolume.so" #9 Foam::fvMatrix<double>::solve(Foam::dictionary const&) in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/bin/simpleFoam" #10 Foam::fvMatrix<double>::solve() in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/bin/simpleFoam" #11 ? in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/bin/simpleFoam" #12 __libc_start_main in "/lib64/libc.so.6" #13 ? in "/opt/OpenFOAM/OpenFOAM-v1606+/platforms/linux64GccDPInt32Opt/bin/simpleFoam"
... and the command lines in the readMe! output are pretty long and it is saved in the text file attached here.
So, my questions are:
1. why I have to manually start OF first before I can use the blockMesh component? Should butterfly automatically start OF?
2. what might be the cause of the unsuccessful run of simpleFoam in the end?
Hope you can kindly advise! Thank you!
- Ji
…
eration!
See an example work flow for designing, simulating and analysing a Photovoltaic system below.
Download a Grasshopper and Rhino example file:
https://www.dropbox.com/s/krbszlplj5i40dz/017_HBgeneration%20Rhino%20model.3dm?dl=0
https://www.dropbox.com/s/lxneuzal3mipd2q/017_HBgeneration.gh?dl=0
See a quick introduction and tutorial videos here: https://www.youtube.com/playlist?list=PLrx2KnyhaJ5YXo5hpk8Q9q4Vy99O5IegK
1. Select a building to mount a photovoltaic generator on (seen in Rhino in green).
2. Select a surface within that building to mount a photovoltaic generator on (seen in Rhino in green).
3. Create a Honeybee context surface from that surface.
4. Place a photovoltaic generator on that Honeybee context surface by using the Honeybee generation component. Honeybee_Generator_PV and connecting the context surface to it's input _HBSurfaces. Then you can specify both the performance and the financial data of the photovoltaic generator.
5. Create a Honeybee generation system which consists of the photovoltaic generator in 4. By using the component Honeybee_generationsystem and connecting 4 to its input PVHBSurfaces_. Then you can specify the annual maintenance cost of this system.
6. Run the simulation in Energy Plus by connecting 5. to the input HBGenerators_.
7. Read the results of the simulation:
- The electricity produced by the Honeybee generation system in 5.
- The net purchased electricity of the facility (the Honeybee zone) to which the Honeybee generation system is attached to. This is the electricity consumed by the facility less the electricity generated by the Honeybee generation system.
- The financial costs of the Honeybee generation system; capital, maintenance and replacement costs.
8. Calculate the net present cost of the Honeybee generation system in 5 assuming a 25 year lifetime.
9. Visualise the net present cost.
…
will work slightly different from before. Sorry about breaking this, but it proved impossible to improve the selection logic with the fairly ambiguous notation that was implemented already.
Not every change is breaking though and I hope that most simple matching rules will work as before. There will be a McNeel webinar on Wednesday the 6th of November where I discuss the new selection rules (as well as path mapping syntax and relative offsets within one or more data trees). This will be a pretty hard-core webinar aimed at expert users. The event will be recorded so you can always go and watch it later. I figured I'd briefly explain the new selection rules on Ning before I release the update though.
-------------------------------------------------------------------------------
Imagine we have the following data tree, containing a bunch of textual characters:
{0;0} = [a,e,i,o,u,y] {0;1} = [ä,ë,ê,ï,î,ö,ô,õ,ü,û,ÿ,ý] {1;0} = [b,c,d,f,g,h,j,k,l,m,n,p,q,r,s,t,v,w,x,z] {1;1} = [ç,ĉ,č,ĝ,ř,š,ş,ž]
There are a total of four branches {0;0}, {0;1}, {1;0} and {1;1}. The first branch contains all the vowels that are part of the standard English alphabet. The second branch contains all non-standard vowels and branches three and four contain the standard and non-standard consonants respectively.
So what if we want to select from this tree only the standard vowels? Basically include everything in the first branch and disregard everything else. We can use the [Tree Split] component with a selection rule to achieve this:
{0;0}
This selection rule hard-codes the number zero in both tree path locations. It doesn't define an item index rule, so all items in {0;0} will be selected.
If we want all the vowels (both standard and non-standard), then we have several options:
{0;?} = select all branches that start with 0
{0;(0,1)} = select all branches that start with 0 and end in either 0 or 1
{0;(0 to 1)} = ......................................... and end in the range 0 to 1.
Conversely, selecting all standard vowels and consonants while disregarding all non-standard character can be achieved with rules as follows:
{?;0}
{(0,1);0}
{(0 to 1);0}
It is also possible to select items from each branch in addition to limiting the selection to specific branches. In this case another rule stated in square brackets needs to be appended:
{0;?}[0 to 2]
The above rule will select the first three vowels from the standard and the non-standard lists.
Basically, rules work in a very consistent way, but there are some syntax conventions you need to know. The first thing to realize is that every individual piece of data in a data-tree can be uniquely and unambiguously identified by a collection of integers. One integer describes its index within the branch and the others are used to identify the branch within the tree. As a result a rule for selection items always looks the same:
{A;B;C;...;Z}[i] where A, B, C, Z and i represent rules.
It's very similar to the Path Mapper syntax except it uses square brackets instead of parenthesis for the index (the Path Mapper will follow suit soon, but that won't be a breaking change). You always have to define the path selector rule in between curly brackets. You can supply any number of rules as long as you separate them with semi-colons.
The index rule is optional, but -when provided- it has to be encased in square brackets after the path selection rule(s).
The following rule notations are allowed:
* Any number of integers in a path
? Any single integer
6 Any specific integer
!6 Anything except a specific integer
(2,6,7) Any one of the specific integers in this group.
!(2,6,7) Anything except one of the integers in this group.
(2 to 20) Any integer in this range (including both 2 and 20).
!(2 to 20) Any integer outside this range.
(0,2,...) Any integer part of this infinite sequence. Sequences have to be at least two integers long, and every subsequent integer has to be bigger than the previous one (sorry, that may be a temporary limitation, don't know yet).
(0,2,...,48) Any integer part of this finite sequence. You can optionally provide a single sequence limit after the three dots.
!(3,5,...) Any integer not part of this infinite sequence. The sequence doesn't extend to the left, only towards the right. So this rule would select the numbers 0, 1, 2, 4, 6, 8, 10, 12 and all remaining even numbers.
!(7,10,21,...,425) Any integer not part of this finite sequence.
Furthermore, it is possible to combine two or more rules using the boolean and/or operators. If you want to select the first five items in every list of a datatree and also the items 7, 12 and 42, then the selection rule would look as follows:
{*}[(0 to 4) or (6,11,41)]
The asterisk allows you to include all branches, no matter what their paths looks like.
It is at present not possible to use the parenthesis to define rule precedence, rules are always evaluated from left to right. It is at present also not possible to use negative integers to identify items from the end of a list.
If you want to know more, join the Webinar on Wednesday!
--
David Rutten
david@mcneel.com
Seattle, WA…
Added by David Rutten at 8:57pm on November 3, 2013
the pipe component .I have one curve ,but Pipe component outputs two pipes .This guide curve have two kinks . Pipe component fails at one of them .
Bug #3
I guess this bug may have been fixed .
Wish #1
I hope adding an "reverse list" option to the right-click menu .I think this would be useful (at least for myself).
Wish #2
I hope the SimplifyTree component would clear the zeros located at the end and middle of branch in condition the branches have same length.For example, I have a tree looks like :
A = {0;1;0} B = {0;1;0;1}
C = {0;1;0;0;1;0;0;0}
After simplify ,I get:
A = {1} B = {1;0;1}
C = {1;0;0;1}
And if the tree structure is something like:
A={0;0;1;0}
B={0;0;1;1}
C={0;0;1;2}
After simplify ,I get:
A={1;0}
B={1;1}
C={1;2}
But If the tree is:
A={0;0;0;0;0;0}
B={0;0;1;0;1;0}
C={0;0;1;0;2;0}
I get:
A={0;0}
B={1;1}
C={1;2}
WIsh #3
I came across conditions that there is no direct way to handle some Datatree matching problems . And now I think I find what's the problem :GH now lack the capability to make cross reference between lists/branches .For example, I have two trees ,the first one have two branches {0}&{1}, the other have three branches{0}&{1}&{2}.Now GH would do:
what I want is :
If this can come true ,I can say it would be very very very useful . I just have a coarse idea on how to do that: Like () wrap items,{} wrap branches, then [] wrap trees .
Say I have a tree [0] ,which have three brabches{0},{1},{2}. So [0]=[{0};{1};{2}] or [0]=[{0},{1},{2}]
If this is ruled, the following fomula is meanningful:
[0]=[{0}] (this means tree[0] just have one branch)
[0]=[{0;0;0};{0;0;1};{0;0;2}]
[0]=[{0;0};{0;1};{0;2}]=[{0;0;0};{0;0;1};{0;1};{0;2}]After that, Maybe we could match [{0};{1}] and [{0};{1};{2}] very easily (Longest List;Shortest List;Cross Reference) ??
I tried to explain the concept of "tree" to my friends ,but I am confuzed somewhere myself .For example ,how could we have a tree including branches {0},{0;0}and{0;0;0} at the same time??{0} should be the biggest tree trunk,and {0;0} is part of {0} .{0;0;0} is just the smallest trunk and store the least data inside .How could the biggert trucks are empty while only the smallest branches contain items ?(David drawed a datatree that tell this,remember??)
But if this idea is acceptable ,then I could make a fairy tale about tree to them :
(Long long ago...)
[0] is a tree ,[1] is a tree.
{0},{1},{0;0}.{0;1;0} are branches.
{0}=(0,1,2,3,4,5) is branch.
[0]= [{0;0;0};{0;0;1};{0;0;2] is a standard tree .
[0]=[{0;0;0};{0;0;2};{0;0;3] is a pruned tree.
[{0};{0;0};{0;0;0}] is an illegal tree .
Gh is lenient enough to allow the existence of illegal tree .
Gh is lenient enough to allow the existence of empty trees& empty branch&null items.
We can use PathMapper to transform an illegal tree into a legal one and vice versa . We can use PathMapper to do any things to tree&branch&item.
Wish #4
wish for Split List component : it would have a wrap option just like many other components.In this way , we can split a list of data at -1 .I think this would be useful .
wish #5
wish for a Preview toggle component .See picture below (it's fake).
this toggle look mostly like the boolean toggle, but it have a input param by which we can control the preview logically and smartly .
When there is no input ,we can control swith the preview with a double click action .This toggle component could control all gh geometry overriding the global setting .The link curve between toggle and target works just like the galapagos.
Wish #6
Wish for adding arc angle output to both Arc 3pt and Arc SED components.This would make things easier sometimes .
Wish #7
Many times I were puzzled that a same gh script would perform perfect if the input is single surface but buggy while the input is more than one surface .After debuging many times ,I just found that if one or two component of the script do things smarter ,this kind of bugs would never happen again !! Simply saying:we need a optional datatree match behavior. Say I have two datatree [{0;0};{0;1}] and [{0;0;0};{0;0;1};{0;0;2};{0;0;3};
{0;1;0};{0;1;1};{0;1;2};{0;1;3}] Normally {0;0} matchs {0;0;0},{0;1} matchs other branches (Longest List behavior).Now I need {0;0} matchs {0;0;0},{0;0;1},{0;0;2},{0;0;3} separately and {0;1} matchs {0;1;0};{0;1;1};{0;1;2};{0;1;3} separately .I cant describe this matching rules accurately but it's very obvious .I hope you can understand the meaning .
I remember David said once that he would not change anything about the datatree matching rules in order to avoid destroy people's production work .And that is my bottomline too .What I want is when I need one component to match the input datatree in this way ,I can switch it (just it ) into this mode (Assuming these is a "xxx mode" option in component's right-click menu ). In this way ,All the exist Gh def would not be destoryed.
PS. I am not carping but I found the DivideKink param input of Divide Curve component is useless except adding a segments output .
…
t file** - ply file with just x,y,z locations. I got it from a 3d scanner. Here is how first few lines of file looks like - ply format ascii 1.0 comment VCGLIB generated element vertex 6183 property float x property float y property float z end_header -32.3271 -43.9859 11.5124 -32.0631 -43.983 11.4945 12.9266 -44.4913 28.2031 13.1701 -44.4918 28.2568 13.4138 -44.4892 28.2531 13.6581 -44.4834 28.1941 13.9012 -44.4851 28.2684 ... ... ... In case you need the data - please email me on **nisha.m234@gmail.com**. **Algorithm:** I am trying to find principal curvatures for extracting the ridges and valleys. The steps I am following is: 1. Take a point x 2. Find its k nearest neighbors. I used k from 3 to 20. 3. average the k nearest neighbors => gives (_x, _y, _z) 4. compute covariance matrix 5. Now I take eigen values and eigen vectors of this covariance matrix 6. I get u, v and n here from eigen vectors. u is a vector corresponding to largest eigen value v corresponding to 2nd largest n is 3rd smallest vector corresponding to smallest eigen value 7. Then for transforming the point(x,y,z) I compute matrix T T = [ui ] [u ] [x - _x] [vi ] = [v ] x [y - _y] [ni ] [n ] [z - _z] 8. for each i of the k nearest neighbors:<br> [ n1 ] [u1*u1 u1*v1 v1*v1] [ a ]<br> [ n2 ] = [u2*u2 u2*v2 v2*v2] [ b ] <br> [... ] [ ... ... ... ] [ c ] <br> [ nk ] [uk*uk uk*vk vk*vk]<br> Solve this for a, b and c with least squares 9. this equations will give me a,b,c 10. now I compute eigen values of matrix [a b b a ] 11. This will give me 2 eigen values. one is Kmin and another Kmax. **My Problem:** The output is no where close to finding the correct Ridges and Valleys. I am totally Stuck and frustrated. I am not sure where exactly I am getting it wrong. I think the normal's are not computed correctly. But I am not sure. I am very new to graphics programming and so this maths, normals, shaders go way above my head. Any help will be appreciated. **PLEASE PLEASE HELP!!** **Resources:** I am using Visual Studio 2010 + Eigen Library + ANN Library. **Other Options used** I tried using MeshLab. I used ball pivoting triangles remeshing in MeshLab and then applied the polkadot3d shader. If correctly identifies the ridges and valleys. But I am not able to code it. **My Function:** //the function outputs to ply file void getEigen() { int nPts; // actual number of data points ANNpointArray dataPts; // data points ANNpoint queryPt; // query point ANNidxArray nnIdx;// near neighbor indices ANNdistArray dists; // near neighbor distances ANNkd_tree* kdTree; // search structure //for k = 25 and esp = 2, seems to got few ridges queryPt = annAllocPt(dim); // allocate query point dataPts = annAllocPts(maxPts, dim); // allocate data points nnIdx = new ANNidx[k]; // allocate near neigh indices dists = new ANNdist[k]; // allocate near neighbor dists nPts = 0; // read data points ifstream dataStream; dataStream.open(inputFile, ios::in);// open data file dataIn = &dataStream; ifstream queryStream; queryStream.open("input/query.
pts", ios::in);// open data file queryIn = &queryStream; while (nPts < maxPts && readPt(*dataIn, dataPts[nPts])) nPts++; kdTree = new ANNkd_tree( // build search structure dataPts, // the data points nPts, // number of points dim); // dimension of space while (readPt(*queryIn, queryPt)) // read query points { kdTree->annkSearch( // search queryPt, // query point k, // number of near neighbors nnIdx, // nearest neighbors (returned) dists, // distance (returned) eps); // error bound double x = queryPt[0]; double y = queryPt[1]; double z = queryPt[2]; double _x = 0.0; double _y = 0.0; double _z = 0.0; #pragma region Compute covariance matrix for (int i = 0; i < k; i++) { _x += dataPts[nnIdx[i]][0]; _y += dataPts[nnIdx[i]][1]; _z += dataPts[nnIdx[i]][2]; } _x = _x/k; _y = _y/k; _z = _z/k; double A[3][3] = {0,0,0,0,0,0,0,0,0}; for (int i = 0; i < k; i++) { double X = dataPts[nnIdx[i]][0]; double Y = dataPts[nnIdx[i]][1]; double Z = dataPts[nnIdx[i]][2]; A[0][0] += (X-_x) * (X-_x); A[0][1] += (X-_x) * (Y-_y); A[0][2] += (X-_x) * (Z-_z); A[1][0] += (Y-_y) * (X-_x); A[1][1] += (Y-_y) * (Y-_y); A[1][2] += (Y-_y) * (Z-_z); A[2][0] += (Z-_z) * (X-_x); A[2][1] += (Z-_z) * (Y-_y); A[2][2] += (Z-_z) * (Z-_z); } MatrixXd C(3,3); C <<A[0][0]/k, A[0][1]/k, A[0][2]/k, A[1][0]/k, A[1][1]/k, A[1][2]/k, A[2][0]/k, A[2][1]/k, A[2][2]/k; #pragma endregion EigenSolver<MatrixXd> es(C); MatrixXd Eval = es.eigenvalues().real().asDiagonal(); MatrixXd Evec = es.eigenvectors().real(); MatrixXd u,v,n; double a = Eval.row(0).col(0).value(); double b = Eval.row(1).col(1).value(); double c = Eval.row(2).col(2).value(); #pragma region SET U V N if(a>b && a>c) { u = Evec.row(0); if(b>c) { v = Eval.row(1); n = Eval.row(2);} else { v = Eval.row(2); n = Eval.row(1);} } else if(b>a && b>c) { u = Evec.row(1); if(a>c) { v = Eval.row(0); n = Eval.row(2);} else { v = Eval.row(2); n = Eval.row(0);} } else { u = Eval.row(2); if(a>b) { v = Eval.row(0); n = Eval.row(1);} else { v = Eval.row(1); n = Eval.row(0);} } #pragma endregion MatrixXd O(3,3); O <<u, v, n; MatrixXd UV(k,3); VectorXd N(k,1); for( int i=0; i<k; i++) { double x = dataPts[nnIdx[i]][0];; double y = dataPts[nnIdx[i]][1];; double z = dataPts[nnIdx[i]][2];; MatrixXd X(3,1); X << x-_x, y-_y, z-_z; MatrixXd T = O * X; double ui = T.row(0).col(0).value(); double vi = T.row(1).col(0).value(); double ni = T.row(2).col(0).value(); UV.row(i) << ui * ui, ui * vi, vi * vi; N.row(i) << ni; } Vector3d S = UV.colPivHouseholderQr().solve(N); MatrixXd II(2,2); II << S.row(0).value(), S.row(1).value(), S.row(1).value(), S.row(2).value(); EigenSolver<MatrixXd> es2(II); MatrixXd Eval2 = es2.eigenvalues().real().asDiagonal(); MatrixXd Evec2 = es2.eigenvectors().real(); double kmin, kmax; if(Eval2.row(0).col(0).value() < Eval2.row(1).col(1).value()) { kmin = Eval2.row(0).col(0).value(); kmax = Eval2.row(1).col(1).value(); } else { kmax = Eval2.row(0).col(0).value(); kmin = Eval2.row(1).col(1).value(); } double thresh = 0.0020078; if (kmin < thresh && kmax > thresh ) cout << x << " " << y << " " << z << " " << 255 << " " << 0 << " " << 0 << endl; else cout << x << " " << y << " " << z << " " << 255 << " " << 255 << " " << 255 << endl; } delete [] nnIdx; delete [] dists; delete kdTree; annClose(); } Thanks, NISHA…
occur more than once in the same list, and different elements with identical values can occur more than once. Also, a list may contain lack of elements, referred to as "nulls".
Sets. Strictly speaking a Set is a mathematical construct which adheres to a strict collection of rules and limitations. Basically, a Set is the same as a List, with the exception that it cannot contain the same element more than once, or indeed two or more different elements with the same values. You see, in mathematics there is no difference between a value and an instance of that value, they are the same thing. In programming however it is possible to store the number 7 in more than one spot in the RAM. Grasshopper does not enforce this rule very strongly though, you can use a lot of Set components on lists that have multiple occurrences of the same value. The big difference between Lists and Sets in Grasshopper is that Sets are only defined for simple data types that have trivial equality comparisons. Basically: booleans, integers, numbers, complex numbers, strings, points, vectors, colours and intervals. Lists can contain all kinds of data.
Strings. Strings are text. There's nothing more to it. I don't know why early programmers chose to call them strings, but I suppose it's a better description of the memory representation of them. Strings are essentially sequences of individual characters.
Trees. Trees are the way all data is stored in Grasshopper. Even when you only have a single item, it will still be stored in a tree. A tree is a sorted collection of lists, where each list is identified by a path. A specific path can only occur once in a tree, when you merge two trees together, lists with identical paths are appended to each other. Trees are an attempt to losslessly represent not just the data itself, but also the history of that data. Imagine you have 4 curves {A,B,C,D} and you divide each into 3 points {X,Y,Z}. Then, for each of those points you create a new line segment {X',Y',Z'} and then divide each of those line segments again into 5 points each {K,L,M,N,O}. The way data is stored in trees, it should be possible to figure out whether a point M belongs to X' or to Z', and whether that X' or Z' came from A, B, C or D. This is why paths are often quite long after a while, because they encode a lot of history.
Paths. A Path is nothing more than a list of integers. It's denoted using curly brackets and semi-colons: {A;B;...;Z}. A Path should never be empty {} or have negative integers {0;-1}, but it is certainly possible to create a path like this and it probably won't even crash Grasshopper. Paths are 'grown' by components that (potentially) create more than one output value for a single input value. For example Divide Curve. It creates N points for every single input curve. In cases like this a new integer is appended to the end of the path.
In the next release the Path logic in Grasshopper is somewhat different. I fixed a number of obscure bugs (hopefully without introducing new fresh bugs) and special cased certain operations to somewhat reduce the speed at which paths grow. This may well break files that rely on a specific tree layout, but I hope the temporary sacrifice will be worth the long-term benefits.
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David Rutten
david@mcneel.com
Poprad, Slovakia…
curve or locus] of a segment AB, in English. The set of all the points from which a segment, AB, is seen under a fixed given angle.
When you construct l'arc capable —by using compass— you obviously need to find the centre of this arc. This can be easily done in GH in many ways by using some trigonometry (e.g. see previous —great— solutions). Whole circles instead of arcs provide supplementary isoptics —β-isoptic and (180º-β)-isoptic—. Coherent normals let you work in any plane.
Or you could just construct β-isoptics of AB by using tangent at A (or B). I mean [Arc SED] component.
If you want the true β-isoptic —the set of all the points— you should use {+β, -β} degrees (2 sides; 2 solutions; 2 arcs), but slider in [-180, +180] degrees provides full range of signed solutions. Orthoptic is provided by ±90º. Notice that ±180º isoptic is just AB segment itself, and 0º isoptic should be the segment outside AB —(-∞, A] U [B, +∞)—. [Radians] component is avoidable.
More compact versions can be achieved by using [F3] component. You can choose among different expressions the one you like the most as long as performs counter clockwise rotation of vector AB, by 180-β degrees, around A; or equivalent. [Panel] is totally avoidable.
Solutions in XY plane —projection; z = 0—, no matter A or B, are easy too. Just be sure about the curve you want to find the intersection with —Curve; your wall— being contained in XY plane.
A few self-explanatory examples showing features.
1 & 5 1st ver. (Supplementary isoptics) (ArcCapableTrigNormals_def_Bel.png)
2 & 6 2nd ver. (SED) (ArcCapableSED_def_Bel.png)
3 & 7 3rd ver. (SED + F3) (ArcCapableSEDF3_def_Bel.png)
4 & 8 4th ver. (SED + F3, Projection) (ArcCapableSEDProjInt_def_Bel.png)
If you want to be compact, 7 could be your best choice. If you prefer orientation robustness, 5. Etcetera.
I hope these versions will help you to compact/visualize; let me know any feedback.
Calculate where 2 points [A & B] meet at a specific angle is just find the geometrical locus called arco capaz in Spanish, arc capable in French (l'isoptique d'un segment de droite) or isoptic [curve or locus]
of a segment AB, in English. The set of all the points from which a segment,
AB, is seen under a fixed given angle.…
ers can be applied from the right click Context Menu of either a component's input or output parameters. With the exception of <Principal> and <Degrees> they work exactly like their corresponding Grasshopper Component. When a I/O Modifier is applied to a parameter a visual Tag (icon) is displayed. If you hover over a Tag a tool tip will be displayed showing what it is and what it does.
The full list of these Tags:
1) Principal
An input with the Principal Icon is designated the principal input of a component for the purposes of path assignment.
For example:
2) Reverse
The Reverse I/O Modifier will reverse the order of a list (or lists in a multiple path structure)
3) Flatten
The Flatten I/O Modifier will reduce a multi-path tree down to a single list on the {0} path
4) Graft
The Graft I/O Modifier will create a new branch for each individual item in a list (or lists)
5) Simplify
The Simplify I/O Modifier will remove the overlap shared amongst all branches. [Note that a single branch does not share any overlap with anything else.]
6) Degrees
The Degrees Input Modifier indicates that the numbers received are actually measured in Degrees rather than Radians. Think of it more like a preference setting for each angle input on a Grasshopper Component that state you prefer to work in Degrees. There is no Output option as this is only available on Angle Inputs.
7) Expression
The Expression I/O Modifier allows you change the input value by evaluating an expression such as -x/2 which will have the input and make it negative. If you hover over the Tag a tool tip will be displayed with the expression. Since the release of GH version 0.9.0068 all I/O Expression Modifiers use "x" instead of the nickname of the parameter.
8) Reparameterize
The Reparameterize I/O Modifier will only work on lines, curves and surfaces forcing the domains of all geometry to the [0.0 to 1.0] range.
9) Invert
The Invert Input Modifier works in a similar way to a Not Gate in Boolean Logic negating the input. A good example of when to use this is on [Cull Pattern] where you wish to invert the logic to get the opposite results. There is no Output option as this is only available on Boolean Inputs.
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