1 Table of Contents
1
Table of Contents
2
About
3
Features
4
Examples
4.1
test1.gr - nodes and edges, baseline alignment
4.2
test30.gr - "bgfill" node attribute and round shape test
4.3
test24.gr - fixed layout test, edge labels, variable edge widths and patterns, edge outlines, arrow snapping, colorization (tint)
4.4
test26.gr - edge styles (normal ->, dotted .>, dashed =>, bold >>, invisible ~>, undirected --
4.5
test32f.gr - background patterns, rotated node labels, edge labels, dotted, dashed, bold and rectangular edges, arrow snapping, gradients
4.6
test39.gr - node connection ports and include file test
4.7
test37.gr - node and sub-graph stacks
4.8
test35.gr - background and border gradients and patterns
4.9
test23d.gr - table layout test, nested sub-graphs, palettes
4.10
test41a.gr - solid, dotted, dashed and stacked rect shapes
4.11
test41b.gr - solid, dotted, dashed and stacked rect shapes
4.12
test41.gr - solid, dotted, dashed and stacked rhomb shapes
4.13
test42.gr - solid, dotted, dashed and stacked ellipse shapes
4.14
test42b.gr - tinted, dashed and stacked ellipse shapes
4.15
test43.gr - solid, dotted, dashed and stacked diamond shapes
4.16
test44.gr - solid, dotted, dashed and stacked hexagon shapes
4.17
test45.gr - solid, dotted, dashed and stacked triangle shapes
4.18
test33.gr - UI widgets (Slider, ComboBox, CheckBox, FloatParam, Scroller, Dial), XFM attributes, size groups, colorization (tint)
5
Downloads
6
Usage
7
Node declarations
8
Style classes
9
Palettes
10
Gradients
11
Attribute Reference
2 About
Graph
is a free open-source diagram and graph generator, with the main focus being diagrams.
It is meant to be used as a (headless) command line utility that reads .gr
text files and outputs .svg
/ .html
. It also comes with a built-in OpenGL preview mode.
Graph
is written in
TkScript and is built on top of the
tkui
UI toolkit.
3 Features
- text input (
.gr
files)
- fine-tuned control over node and edge looks and positions
- arbitrary nesting of sub-graphs
- configurable layouter per (sub-)graph
- currently supported:
grid
, border
, table
, fixed
- implicit or explicit node declarations
- edge-style shortcuts:
->
(solid), >>
(bold), .>
(dotted), =>
(dashed), ~>
(invisible), —
(undirected)
- reverse edges (
<-
, <<
, <.
, <=
, <~
)
- edge labels
- edge arrow rotation snapping (0..100%)
- edge position snapping (with configurable threshold)
- variable-width edges (start / end widths)
- edge outlines (left / right widths and colors, adaptive width mode)
- user-definable node ports (edge connection locations)
- explicit or automatic port layout with configurable edge margins
- built-in cardinal points
n
, w
, s
, e
(t
, l
, b
, r
)
- style classes (with inheritance)
- include files (
.gi
)
- e.g. for separating style definitions from content
- (user-definable) palettes (named colors)
- (user-definable) background and border gradients
- arbitrary number of stops (/starts)
- automatic interpolation of implicit start positions
- background and border fill patterns
- background and border shapes
- currently supported:
rect
, round
, rhomb
(more to come in future releases)
- icons
- rotatable content (clockwise, counter-clockwise)
- node stacks
- straight, rectangular, and cubic bezier curve edges
- size groups
- border blend modes (
srcover
, additive
, srccolor
, dstcolor
)
- can also be used to generate user interfaces with support for custom widget classes
- the
GraphForm
widget can be used in custom applications
XMLForm
(.xfm
) UI descriptions can be mixed with .gr
(in the same file / buffer)
- scalable vector graphics
.svg
file export
- batch processing mode
4 Examples
4.1 test1.gr
nodes and edges, baseline alignment
![alt](data:image/svg+xml;base64,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)
Source:
style {
pad_t = 8
pad_b = 8
text_pos = baseline
align = "expand;baseline"
edge_bend = 30%
border_style = solid
border_width = 2
border_color = #555
shape = rect
tail_snap_y = 0
}
zero_margin = false
A->B->C
A [bgcolor=#eaa font=big8 border_color=#a55]
B [bgcolor=#aea font=big6 border_color=#5a5 ipad_r=3 ]
C [bgcolor=#aae font=big5 border_color=#55a ipad="0;3;0;4"]
4.2 test30.gr
bgfill
node attribute and round shape test
![alt](data:image/svg+xml;base64,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)
(SVG)
Source:
// "bgfill" node attribute and round shape test
style def {
pad = 4,6,4,6
bgfill = false
border_shape = round
shape_round_amount = 30%
shape_round_aspect = "2"
shape_round_limit = 8
border_style = solid
border_width = 0.75
font = big8
fgcolor = #444
arrow_angle = 25
arrow_len = 12
arrow_ilen = 20%
ipad = 1,4,1,4
}
style padt {
def
pad_t = 20
}
style esmall {
def
arrow_angle = 33
arrow_len = 6
}
graph {
layout = fixed;
col_padding = 2;
zero_margin = true;
xmajor_tail = false;
xmajor_head = true;
class=def row="a b c"
class=padt row=" d e f"
a "node a";
b "node b";
c "node c";
f [ipad=2,8,2,8]
a->b
b->c
class=esmall
d->e
a->d
b<>f [arrow_snap=1 arrow_fgcolor_rev=#888
arrow_angle_rev=30 arrow_len_rev=8
]
e->f [bend=20%]
f->c [xmajor_tail=true xmajor_head=false]
}
4.3 test24.gr
fixed layout test, edge labels, variable edge widths and patterns, edge outlines, arrow snapping, colorization (tint)
![alt](data:image/svg+xml;base64,<svg width="728" height="396" xmlns="http://www.w3.org/2000/svg">
  <!-- bg -->
  <rect width="100%" height="100%" fill="#f9f9f9"/>
  <!-- edges -->
  <path d="M57.25 52 C57.25 70.6625 227.714 95.5459 227.714 114.208" style="fill:none;stroke:#005500;stroke-width:1.6875"/>
  <path d="M230.582 170.497 C230.582 189.098 414.125 213.899 414.125 232.5" style="fill:none;stroke:#005500;stroke-width:1.6875;stroke-dasharray:3 3"/>
  <path d="M197.25 52 C197.25 69.6865 428.794 93.2685 428.794 110.955" style="fill:none;stroke:#cc5500;stroke-width:2.4375"/>
  <path d="M432.25 162 C432.25 179.472 453.047 202.768 453.047 220.241" style="fill:none;stroke:#cc812c;stroke-width:2.4375"/>
  <path d="M432.5 270.5 C432.5 285.435 413.458 315.306 413.458 330.241" style="fill:none;stroke:#aaaaaa;stroke-width:2.4375"/>
  <path d="M401.25 52 C401.25 70.6187 634.831 95.4436 634.831 114.062" style="fill:none;stroke:#0055cc;stroke-width:1.6875;stroke-dasharray:7 5"/>
  <path d="M638 162 C638 180.57 638 205.329 638 223.899" style="fill:none;stroke:#0055cc;stroke-width:1.6875;stroke-dasharray:7 5"/>
  <path d="M636.5 270.5 C636.5 280.055 453.629 324.644 453.629 334.199" style="fill:none;stroke:#0055cc;stroke-width:1.6875;stroke-dasharray:7 5"/>
  <!-- nodes -->
  <rect x="356" y="344" width="147.5" height="35.5" fill="#e4e9e4" rx="15" ry="15" style="stroke-width:4.5;stroke:#bfc4bf"/>
  <text  x="367" y="372.35" font-size="21" font-family="Tahoma,sans-serif" fill="#323732" >Row 4 Node I</text>  /* sz=(128;27) */
  <rect x="356" y="234" width="153.75" height="35.75" fill="#f4f4e0" rx="15" ry="15" style="stroke-width:2.25;stroke:#a0a069"/>
  <text  x="366" y="261.35" font-size="21" font-family="Tahoma,sans-serif" fill="#004488" >Row 3 Node G</text>  /* sz=(134;27) */
  <rect x="560" y="234" width="153.75" height="35.75" fill="#e8e8e8" rx="15" ry="15" style="stroke-width:2.25;stroke:#a4a4b3"/>
  <text  x="570" y="261.35" font-size="21" font-family="Tahoma,sans-serif" fill="#333333" >Row 3 Node H</text>  /* sz=(134;27) */
  <rect x="152" y="124" width="153.75" height="35.75" fill="#e8e8e8" rx="15" ry="15" style="stroke-width:2.25;stroke:#81a881"/>
  <text  x="162" y="151.35" font-size="21" font-family="Tahoma,sans-serif" fill="#333333" >Row 2 Node D</text>  /* sz=(134;27) */
  <path d="M371 124 L495 124 A15 15 0.0 0 1 510 139 L510 147 A15 15 0.0 0 1 495 162 L371 162 A15 15 0.0 0 1 356 147 L356 139 A15 15 0.0 0 1 371 124 z" fill="#f4ece4" style="stroke-width:2.25;stroke:#d08181;stroke-dasharray:3 3"/>
  <text  x="366" y="151.35" font-size="21" font-family="Tahoma,sans-serif" fill="#004488" >Row 2 Node E</text>  /* sz=(132;27) */
  <path d="M575 124 L698 124 A15 15 0.0 0 1 713 139 L713 147 A15 15 0.0 0 1 698 162 L575 162 A15 15 0.0 0 1 560 147 L560 139 A15 15 0.0 0 1 575 124 z" fill="#e8e8e8" style="stroke-width:2.25;stroke:#9191ad;stroke-dasharray:10 6"/>
  <text  x="570" y="151.35" font-size="21" font-family="Tahoma,sans-serif" fill="#333333" >Row 2 Node F</text>  /* sz=(131;27) */
  <rect x="12" y="12" width="87.5" height="35.5" fill="#e8e8e8" rx="15" ry="15" style="stroke-width:4.5;stroke:#d4d4d4"/>
  <text  x="23" y="40.35" font-size="21" font-family="Tahoma,sans-serif" fill="#333333" >Node A</text>  /* sz=(68;27) */
  <rect x="152" y="12" width="87.5" height="35.5" fill="#f4ece4" rx="15" ry="15" style="stroke-width:4.5;stroke:#d4d4d4"/>
  <text  x="163" y="40.35" font-size="21" font-family="Tahoma,sans-serif" fill="#004488" >Node B</text>  /* sz=(68;27) */
  <rect x="356" y="12" width="87.5" height="35.5" fill="#e8e8e8" rx="15" ry="15" style="stroke-width:4.5;stroke:#d4d4d4"/>
  <text  x="367" y="40.35" font-size="21" font-family="Tahoma,sans-serif" fill="#333333" >Node C</text>  /* sz=(68;27) */
  <!-- edges (sub) -->
  <!-- edge arrows -->
  <path fill="#005500" d="M 221.908 115.809 L 230 122.5 L 233.519 112.607 z"/>
  <path fill="#005500" d="M 236.531 169.565 L 229.25 162 L 224.632 171.43 z"/>
  <path fill="#cc5500" stroke="#ee6611" stroke-width="1" d="M 420.71 113.9 L 433 122.5 L 436.878 108.01 z"/>
  <path fill="#cc9d48" stroke="#976c31" stroke-width="1" d="M 444.463 220.82 L 453.875 232.5 L 461.631 219.661 z"/>
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  <path fill="#0055cc" d="M 628.923 115.231 L 636.5 122.5 L 640.739 112.894 z"/>
  <path fill="#0055cc" d="M 631.977 223.899 L 638 232.5 L 644.023 223.899 z"/>
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  <!-- labels -->
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  <text  x="263" y="203.05" font-size="16" font-family="Tahoma,sans-serif" fill="#005500" >reiterate</text>  /* sz=(64;21) */
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  <text  x="275" y="86.05" font-size="16" font-family="Tahoma,sans-serif" fill="#cc5500" >bumfuzzle</text>  /* sz=(75;21) */
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)
(tkui / OpenGL)
Source:
// fixed / manual node placement (e.g. for smaller, non-autogenerated graphs)
style rowbase {
bgcolor = #eee
shape = round
shape_round_amount = 40%
shape_round_limit = 10
border_width = 1.5
border_color = #bbb
ipad = "2.5;6;2.5;6"
align = baseline
}
style row1 {
rowbase
fgcolor = #003
}
style row2 {
rowbase
fgcolor = #034
}
style row3 {
rowbase
fgcolor = #048
}
style row4 {
rowbase
fgcolor = #333
}
style red {
rowbase
fgcolor = #048
bgcolor = #f4ece4
border_tint = #4fff0000
}
style yellow {
rowbase
fgcolor = #048
bgcolor = #f4f4e0
border_tint = #6f7f7f00
}
style green {
rowbase
bgtint = #0600ff00
border_tint = #4f007f00
}
style green2 {
rowbase
tint = #0500ff00
}
style blue {
rowbase
bgtint = #060000ff
border_tint = #3800007f
}
style edgebase {
arrow_snap = 40%
bend = 30%
arrow_len = 7
edge_width = 1
edge_width_start = 0.25
edge_width_end = 2.0
edge_width_exp = 1.5
}
style edge1 {
edgebase
fgcolor = #050
border_tint = #1f00ff00
}
style edge1rev {
edge1
edge_width_start = 2.0
edge_width_end = 0.25
}
style edge2 {
edgebase
fgcolor = #c50
arrow_len = 10
arrow_border_width = 1
arrow_border_color = #e61
border_tint = #1fff8000
edge_width = 3.5
edge_width_start = 0.25
edge_width_end = 3
edge_width_left = 1.0
edge_width_right = 1.0
edge_fgtint_left = #6fee6611
edge_fgtint_right = #6fee6611
}
style edge2_eg {
edge2
edge_fgtint_left = #9f000000
edge_fgtint_right = #9f000000
arrow_border_width = 1
arrow_border_color = #773308
}
style edge2_gi {
edgebase
fgcolor = #aaa
arrow_len = 10
arrow_border_width = 1
arrow_fgcolor = #aba
arrow_border_color = #898
border_tint = #1fafff00
edge_width = 3
edge_width_start = 0.25
edge_width_end = 3
edge_width_left = 1.0
edge_width_right = 1.0
edge_fgtint_left = #af7e9674
edge_fgtint_right = #af7e9674
}
style edge3 {
edgebase
fgcolor = #05C
border_tint = #1f007fff
}
style lb {
bgcolor = #ffe
border_width = 0.5
border_color = #d4d4d4
ipad = "0;1;0;1"
shape = rect//round
font = small
}
style lb_gi {
lb
label = "combobulate"
tooltip = "to compose (one's self) / to compose, organize, design, or arrange"
shape = round
shape_round_amount = 50%
shape_round_limit = 10
ipad = "1;4;1;4"
label_fgcolor = #555
}
graph main {
layout = fixed
row_padding = 24
zero_margin = true
ipad = 8
label_class=lb
// (note) nodes are always placed, even when not connected
class=row1; row="abc "
class=row2; row=" def"
class=row3; row=" gh"
class=row4; row=" i "
a "Node A" [class=green border_width=3 border_tint=#60ffffff]
b "Node B" [class=red border_width=3 border_tint=#60ffffff]
c "Node C" [class=blue border_width=3 border_tint=#60ffffff]
d "Row 2 Node D" [class=green]
e "Row 2 Node E" [class=red border_style=dotted] // border_width=8 bgfill=0
f "Row 2 Node F" [class=blue border_style=dashed]
g "Row 3 Node G" [class=yellow]
h "Row 3 Node H" [class=blue border_tint=#1f00007f]
i "Row 4 Node I" [class=green2 border_tint=#20ffffff border_width=3]
a->d"pandiculate"[class=edge1 tooltip="to stretch oneself"]
d<.g"reiterate" [class=edge1rev tooltip="to re-repeat. (not a real word)"
label_relpos=35% pad_t=3]
b>>e [class=edge2 label="bumfuzzle" tooltip="to confuse"
align=top pad="12;0;5;0"]
e>>g"jumble" [class=edge2_eg tooltip="to mix up in a confused or untidy way"
fgtint=#60cccc77]
g>>i [class=edge2_gi bend=25% label_class=lb_gi]
class=edge3
c => f "bamboozle"[tooltip="to trick so into sth"]
f => h "unthaw" [tooltip="to un-unfreeze. (not a real word)"]
h => i "skedaddle"[tooltip="to leave immediately / run away"
bend=15% label_relpos=40% pad_l=3]
}
4.4 test26.gr
edge styles (normal
->
, dotted
.>
, dashed
=>
, bold
>>
, invisible
~>
, undirected
--
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(SVG)
![test26.gr alt](data:image/png;base64,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)
(tkui / OpenGL)
Source:
// fixed / manual node placement (e.g. for smaller, non-autogenerated graphs)
style rowbase {
bgcolor = #eee
shape = round
shape_round_amount = 40%
shape_round_limit = 10
border_width = 1.5
border_color = #bbb
ipad = "2.5;6;2.5;6"
align = baseline
}
style row1 {
rowbase
fgcolor = #003
}
style row2 {
rowbase
fgcolor = #034
}
style row3 {
rowbase
fgcolor = #048
}
style row4 {
rowbase
fgcolor = #333
}
style red {
rowbase
fgcolor = #048
bgcolor = #f4ece4
border_tint = #4fff0000
}
style yellow {
rowbase
fgcolor = #048
bgcolor = #f4f4e0
border_tint = #6f7f7f00
}
style green {
rowbase
bgtint = #0600ff00
border_tint = #4f007f00
}
style green2 {
rowbase
tint = #0500ff00
}
style blue {
rowbase
bgtint = #060000ff
border_tint = #3800007f
}
style edgebase {
arrow_snap = 40%
bend = 30%
arrow_len = 7
edge_width = 1
edge_width_start = 0.25
edge_width_end = 2.0
edge_width_exp = 1.5
}
style edge1 {
edgebase
fgcolor = #050
border_tint = #1f00ff00
}
style edge1rev {
edge1
edge_width_start = 2.0
edge_width_end = 0.25
}
style edge2 {
edgebase
fgcolor = #c50
arrow_len = 10
arrow_border_width = 1
arrow_border_color = #e61
border_tint = #1fff8000
edge_width = 3.5
edge_width_start = 0.25
edge_width_end = 3
edge_width_left = 1.0
edge_width_right = 1.0
edge_fgtint_left = #6fee6611
edge_fgtint_right = #6fee6611
}
style edge2_eg {
edge2
edge_fgtint_left = #9f000000
edge_fgtint_right = #9f000000
arrow_border_width = 1
arrow_border_color = #773308
}
style edge2_gi {
edgebase
fgcolor = #aaa
arrow_len = 10
arrow_border_width = 1
arrow_fgcolor = #aba
arrow_border_color = #898
border_tint = #1fafff00
edge_width = 3
edge_width_start = 0.25
edge_width_end = 3
edge_width_left = 1.0
edge_width_right = 1.0
edge_fgtint_left = #af7e9674
edge_fgtint_right = #af7e9674
}
style edge3 {
edgebase
fgcolor = #05C
border_tint = #1f007fff
}
style lb {
bgcolor = #ffe
border_width = 0.5
border_color = #d4d4d4
ipad = "0;1;0;1"
shape = rect//round
font = small
}
style lb_gi {
lb
label = "combobulate"
tooltip = "to compose (one's self) / to compose, organize, design, or arrange"
shape = round
shape_round_amount = 50%
shape_round_limit = 10
ipad = "1;4;1;4"
label_fgcolor = #555
}
graph main {
layout = fixed
row_padding = 24
zero_margin = true
ipad = 8
label_class=lb
// (note) nodes are always placed, even when not connected
class=row1; row="abc "
class=row2; row=" def"
class=row3; row=" gh"
class=row4; row=" i "
a "Node A" [class=green border_width=3 border_tint=#60ffffff]
b "Node B" [class=red border_width=3 border_tint=#60ffffff]
c "Node C" [class=blue border_width=3 border_tint=#60ffffff]
d "Row 2 Node D" [class=green]
e "Row 2 Node E" [class=red border_style=dotted] // border_width=8 bgfill=0
f "Row 2 Node F" [class=blue border_style=dashed]
g "Row 3 Node G" [class=yellow]
h "Row 3 Node H" [class=blue border_tint=#1f00007f]
i "Row 4 Node I" [class=green2 border_tint=#20ffffff border_width=3]
a->d"pandiculate"[class=edge1 tooltip="to stretch oneself"]
d<.g"reiterate" [class=edge1rev tooltip="to re-repeat. (not a real word)"
label_relpos=35% pad_t=3]
b>>e [class=edge2 label="bumfuzzle" tooltip="to confuse"
align=top pad="12;0;5;0"]
e>>g"jumble" [class=edge2_eg tooltip="to mix up in a confused or untidy way"
fgtint=#60cccc77]
g>>i [class=edge2_gi bend=25% label_class=lb_gi]
class=edge3
c => f "bamboozle"[tooltip="to trick so into sth"]
f => h "unthaw" [tooltip="to un-unfreeze. (not a real word)"]
h => i "skedaddle"[tooltip="to leave immediately / run away"
bend=15% label_relpos=40% pad_l=3]
}
4.5 test32f.gr
background patterns, rotated node labels, edge labels, dotted, dashed, bold and rectangular edges, arrow snapping, gradients
![alt](data:image/svg+xml;base64,<svg width="305" height="274" xmlns="http://www.w3.org/2000/svg">
  <!-- bg -->
  <rect width="100%" height="100%" fill="#fafcf9"/>
  <!-- edges -->
  <path d="M52.75 68.375 L105 68.375 L105 101" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M52.75 101 L105 101" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M52.75 130.375 L105 130.375 L105 101" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M105 101 C105 96.9289 142.865 60.2888 147.073 60.2888" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M105 101 C109.207 101 142.861 100.09 147.067 100.09" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M105 101 C105 104.872 142.865 139.723 147.072 139.723" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M204.75 59.375 C210.401 59.375 255.61 36.9684 261.261 36.9684" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M204.75 102 C210.382 102 255.435 102 261.067 102" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M204.75 139.375 C210.41 139.375 255.689 166.702 261.349 166.702" style="fill:none;stroke:#000000;stroke-width:1"/>
  <path d="M26.375 161.75 C26.375 175.417 95.2097 216.417 95.2097 230.083" style="fill:none;stroke:#000000;stroke-width:1;stroke-dasharray:3 3"/>
  <path d="M179.375 156.75 C179.375 171.414 152.674 215.405 152.674 230.069" style="fill:none;stroke:#000000;stroke-width:1;stroke-dasharray:7 5"/>
  <path d="M285.375 201.75 C285.375 207.822 214.229 226.039 214.229 232.112" style="fill:none;stroke:#000000;stroke-width:1.25"/>
  <!-- edge arrows -->
  <path fill="#000000" d="M146.009 64.14 L154 60 L145.692 56.5395 L147.073 60.2888 z"/>
  <path fill="#000000" d="M145.893 103.909 L154 100 L145.795 96.3026 L147.067 100.09 z"/>
  <path fill="#000000" d="M145.698 143.475 L154 140 L146.002 135.874 L147.072 139.723 z"/>
  <path fill="#000000" d="M260.965 40.9529 L268 35.34 L259.178 33.5585 L261.261 36.9684 z"/>
  <path fill="#000000" d="M259.843 105.804 L268 102 L259.843 98.1964 L261.067 102 z"/>
  <path fill="#000000" d="M259.101 170.005 L268 168.66 L261.249 162.708 L261.349 166.702 z"/>
  <path fill="#000000" d="M91.3309 229.125 L95.6875 237 L98.9199 228.6 L95.2097 230.083 z"/>
  <path fill="#000000" d="M148.902 228.75 L152.5 237 L156.507 228.941 L152.674 230.069 z"/>
  <path fill="#000000" d="M212.415 228.552 L209.312 237 L217.779 233.946 L214.229 232.112 z"/>
  <!-- nodes -->
  <rect x="2" y="238" width="299.75" height="32.75" fill="#ffffdd" rx="10" ry="10" style="stroke-width:1.25;stroke:#666666"/>
  <text  x="149" y="260.445" font-size="14" font-family="Tahoma,sans-serif" fill="#000000" >f</text>  /* sz=(4;17) */
  <rect x="155" y="123" width="48.75" height="32.75" fill="#ddddff" rx="4" ry="13.6" style="stroke-width:1.25;stroke:#666666"/>
  <text  x="176" y="145.445" font-size="14" font-family="Tahoma,sans-serif" fill="#000000" >d</text>  /* sz=(8;17) */
  <rect x="101" y="97" width="4.75" height="4.75" fill="#000000" rx="1.25" ry="2.4" style="stroke-width:1.25;stroke:#666666"/>
  <rect x="155" y="83" width="48.75" height="32.75" fill="#ddffff" rx="4" ry="13.6" style="stroke-width:1.25;stroke:#666666"/>
  <text  x="176" y="105.445" font-size="14" font-family="Tahoma,sans-serif" fill="#000000" >c</text>  /* sz=(7;17) */
  <rect x="155" y="43" width="48.75" height="32.75" fill="#ffeedd" rx="4" ry="13.6" style="stroke-width:1.25;stroke:#666666"/>
  <text  x="176" y="65.445" font-size="14" font-family="Tahoma,sans-serif" fill="#000000" >b</text>  /* sz=(8;17) */
  <rect x="2" y="42" width="48.75" height="118.75" fill="#ffdddd" rx="10" ry="9.6" style="stroke-width:1.25;stroke:#666666"/>
  <text  font-size="14" font-family="Tahoma,sans-serif" fill="#000000"  text-anchor="start" transform="rotate(-90) translate(-150.5 31.25)">Rotated Node A</text>  /* sz=(97;17) */
  <rect x="269" y="2" width="32.75" height="198.75" fill="#ddffff" rx="10" ry="10" style="stroke-width:1.25;stroke:#666666"/>
  <text  font-size="14" font-family="Tahoma,sans-serif" fill="#000000"  text-anchor="start" transform="rotate(90) translate(52.5 -281.75)">Rotated Node E</text>  /* sz=(97;17) */
  <!-- labels -->
  <rect x="64" y="61" width="27.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="65" y="72.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >a-&gt;b</text>  /* sz=(24;14) */
  <rect x="65" y="93" width="26.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="66" y="104.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >a-&gt;c</text>  /* sz=(23;14) */
  <rect x="64" y="124" width="27.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="65" y="135.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >a-&gt;d</text>  /* sz=(24;14) */
  <rect x="219" y="40" width="27.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="220" y="51.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >b-&gt;e</text>  /* sz=(24;14) */
  <rect x="219" y="94" width="26.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="220" y="105.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >c-&gt;e</text>  /* sz=(23;14) */
  <rect x="219" y="145" width="27.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="220" y="156.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >d-&gt;e</text>  /* sz=(24;14) */
  <rect x="47" y="188" width="25.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="48" y="199.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >a.&gt;f</text>  /* sz=(22;14) */
  <rect x="151" y="185" width="29.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="152" y="196.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >d=&gt;f</text>  /* sz=(26;14) */
  <rect x="234" y="209" width="29.5" height="14.5" fill="#ffffee" stroke-width="0.5" stroke="#d4d4d4" />
  <text  x="235" y="220.19" font-size="11" font-family="Tahoma,sans-serif" fill="#000000" >e&gt;&gt;f</text>  /* sz=(26;14) */
</svg>
)
(SVG)
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)
(tkui / OpenGL)
Source:
// "pixel_layout=grid" row+col span and layout weights test.
// invisible connection "port" nodes. edge_shape=rcurve.
style def {
align = expand
arrow_len = 9
arrow_angle = 25
arrow_ilen = 15%
border_width = 1.25
border_color = #666
shape = round
shape_round_amount = 40%
shape_round_limit = 10
shape_round_aspect = 5
pad_l = 64
pad_r = 0
bg_pattern = zigzag_4
bg_pattern_intensity = 0.06
}
style invis {
def
shape = none
label_style = none
align = left,centery
pad_h = 0
}
style lb {
bgcolor = #ffe
border_width = 0.5
border_color = #d4d4d4
ipad = "0;1;0;1"
shape = rect
font = small
text_pos = center
label_style = default
}
gradient darklight {
#ffffffff
0.5 = #80ffffff
0.6 = #10ffffff
0.7 = #00000000
0.75 = #10333333
0.85 = #08000000
#40000000
}
gradient darklightr {
#20000000
0.5 = #08000000
0.6 = #10cccccc
0.75 = #10ffffff
0.85 = #20ffffff
#ffffffff
}
gradient darklightr2 {
#20000000
0.5 = #08000000
0.6 = #10cccccc
0.75 = #10ffffff
0.85 = #20ffffff
#5fffffff
}
gradient darklightm {
#20ffffff
0.5 = #10ffffff
#30000000
}
style bcd {
bg_gradient = darklightm
bg_gradient_shape = r
shape_round_amount = 40%
shape_round_limit = 30
bg_pattern = lines_4
pad_l = 48
}
style rcurve {
edge_shape=rcurve arrow_shape=none
}
style e {
def
bgcolor = #dff
bg_gradient = darklightr
bg_gradient_shape = h
bg_pattern_intensity = 0.04
s = 32,100%
align = centery,right
headpoint_amount = 22%
rotate = cw
}
bgcolor = #fafcf9;
layout = fixed;
xmajor = true;
zero_margin = true;
row_padding = 16;
col_padding = 8;
row="h e";
row="a e";
row="a1 be";
row="a24ce";
row="a3 de";
row="a e";
row="g e";
row="fffff";
a "Rotated Node A" [rotate=ccw bgcolor=#fdd w=48 h=95% ipad_h=10
align=center
bg_gradient=darklightr2 bg_gradient_shape=h bg_pattern_intensity=0.04
]
b [bgcolor=#fed s=48,32 align=center pad_b=0 class=bcd]
c [bgcolor=#dff s=48,32 align=center pad_v=6 class=bcd]
d [bgcolor=#ddf s=48,32 align=center pad_t=0 class=bcd]
e "Rotated Node E" [class=e]
f [bgcolor=#ffd w=100% h=32 align=centery pad=24,0,0,0
bg_pattern=lines_4 bg_gradient=darklight bg_gradient_shape=v
]
class=invis
1 [s=0,16 align=bottom pad_v=4 ]
2 [s=0,16 pad_v=4 ]
3 [s=0,16 align=top pad_v=4 ]
4 [s=4.5 pad_v=4 pad_l=48 shape=round bgcolor=#000 helper=true]
g [s=32,8]
h [s=32,8]
label_class=lb
1--4 "a->b" [class=rcurve pad_b=16 pad_r=0]
2--4 "a->c" [class=rcurve pad_r=0]
3--4 "a->d" [class=rcurve pad_t=16 pad_r=0]
4->b [bend=10% arrow_snap=90% xmajor_tail=false ]
4->c [bend=10%]
4:n->d [bend=10% arrow_snap=90%]
b->e "b->e" [bend=10%]
c->e "c->e" [bend=10%]
d->e "d->e" [bend=10%]
a.>f "a.>f" [bend=20%]
d=>f "d=>f" [bend=20%]
e>>f "e>>f" [bend=20% edge_width_start=0.5]
4.6 test39.gr
node connection ports and include file test
![alt](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjE2IiBoZWlnaHQ9IjI2OCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8IS0tIGJnIC0tPgogIDxyZWN0IHdpZHRoPSIxMDAlIiBoZWlnaHQ9IjEwMCUiIGZpbGw9IiNmOWY5ZjkiLz4KICA8IS0tIG5vZGVzIC0tPgogIDxyZWN0IHg9IjciIHk9IjIzOSIgd2lkdGg9IjEzIiBoZWlnaHQ9IjI1IiBmaWxsPSIjZWVmOGZhIiByeD0iMi42IiByeT0iMy4xMjUiIHN0eWxlPSJzdHJva2Utd2lkdGg6MS41O3N0cm9rZTojMDAwMDAwIi8+CiAgPHRleHQgIHg9IjEyIiB5PSIyNTcuNDQ1IiBmb250LXNpemU9IjE0IiBmb250LWZhbWlseT0iVGFob21hLHNhbnMtc2VyaWYiIGZpbGw9IiMwMDAwMDAiID5pPC90ZXh0PiAgLyogc3o9KDI7MTcpICovCiAgPHJlY3QgeD0iMTAwIiB5PSIyMzkiIHdpZHRoPSIxNSIgaGVpZ2h0PSIyNSIgZmlsbD0iI2VlZjhmYSIgcng9IjMiIHJ5PSIzLjEyNSIgc3R5bGU9InN0cm9rZS13aWR0aDoxLjU7c3Ryb2tlOiMwMDAwMDAiLz4KICA8dGV4dCAgeD0iMTA1IiB5PSIyNTcuNDQ1IiBmb250LXNpemU9IjE0IiBmb250LWZhbWlseT0iVGFob21hLHNhbnMtc2VyaWYiIGZpbGw9IiMwMDAwMDAiID5qPC90ZXh0PiAgLyogc3o9KDQ7MTcpICovCiAgPHJlY3QgeD0iMTkzIiB5PSIyMzkiIHdpZHRoPSIxOCIgaGVpZ2h0PSIyNSIgZmlsbD0iI2VlZjhmYSIgcng9IjMuNiIgcnk9IjMuMTI1IiBzdHlsZT0ic3Ryb2tlLXdpZHRoOjEuNTtzdHJva2U6IzAwMDAwMCIvPgogIDx0ZXh0ICB4PSIxOTgiIHk9IjI1Ny40NDUiIGZvbnQtc2l6ZT0iMTQiIGZvbnQtZmFtaWx5PSJUYWhvbWEsc2Fucy1zZXJpZiIgZmlsbD0iIzAwMDAwMCIgPms8L3RleHQ+ICAvKiBzej0oNzsxNykgKi8KICA8cmVjdCB4PSI0IiB5PSIxNjQiIHdpZHRoPSIxOSIgaGVpZ2h0PSIyNSIgZmlsbD0iI2VlZjhmYSIgcng9IjMuOCIgcnk9IjMuMTI1IiBzdHlsZT0ic3Ryb2tlLXdpZHRoOjEuNTtzdHJva2U6IzAwMDAwMCIvPgogIDx0ZXh0ICB4PSI5IiB5PSIxODIuNDQ1IiBmb250LXNpemU9IjE0IiBmb250LWZhbWlseT0iVGFob21hLHNhbnMtc2VyaWYiIGZpbGw9IiMwMDAwMDAiID5nPC90ZXh0PiAgLyogc3o9KDg7MTcpICovCiAgPHJlY3QgeD0iMTkzIiB5PSIxNjQiIHdpZHRoPSIxOSIgaGVpZ2h0PSIyNSIgZmlsbD0iI2VlZjhmYSIgcng9IjMuOCIgcnk9IjMuMTI1IiBzdHlsZT0ic3Ryb2tlLXdpZHRoOjEuNTtzdHJva2U6IzAwMDAwMCIvPgogIDx0ZXh0ICB4PSIxOTgiIHk9IjE4Mi40NDUiIGZvbnQtc2l6ZT0iMTQiIGZvbnQtZmFtaWx5PSJUYWhvbWEsc2Fucy1zZXJpZiIgZmlsbD0iIzAwMDAwMCIgPmg8L3RleHQ+ICAvKiBzej0oODsxNykgKi8KICA8cmVjdCB4PSI0IiB5PSI3OSIgd2lkdGg9IjE5IiBoZWlnaHQ9IjI1IiBmaWxsPSIjZWVmOGZhIiByeD0iMy44IiByeT0iMy4xMjUiIHN0eWxlPSJzdHJva2Utd2lkdGg6MS41O3N0cm9rZTojMDAwMDAwIi8+CiAgPHRleHQgIHg9IjkiIHk9Ijk3LjQ0NSIgZm9udC1zaXplPSIxNCIgZm9udC1mYW1pbHk9IlRhaG9tYSxzYW5zLXNlcmlmIiBmaWxsPSIjMDAwMDAwIiA+ZDwvdGV4dD4gIC8qIHN6PSg4OzE3KSAqLwogIDxyZWN0IHg9IjQzIiB5PSI2OSIgd2lkdGg9IjEzMCIgaGVpZ2h0PSIxMzAiIGZpbGw9IiNlZWY4ZmEiIHJ4PSI1IiByeT0iNSIgc3R5bGU9InN0cm9rZS13aWR0aDoxLjU7c3Ryb2tlOiMwMDAwMDAiLz4KICA8dGV4dCAgeD0iMTA0IiB5PSIxMzkuNDQ1IiBmb250LXNpemU9IjE0IiBmb250LWZhbWlseT0iVGFob21hLHNhbnMtc2VyaWYiIGZpbGw9IiMwMDAwMDAiID5lPC90ZXh0PiAgLyogc3o9KDc7MTcpICovCiAgPHJlY3QgeD0iMTk1IiB5PSI3OSIgd2lkdGg9IjE1IiBoZWlnaHQ9IjI1IiBmaWxsPSIjZWVmOGZhIiByeD0iMyIgcnk9IjMuMTI1IiBzdHlsZT0ic3Ryb2tlLXdpZHRoOjEuNTtzdHJva2U6IzAwMDAwMCIvPgogIDx0ZXh0ICB4PSIyMDAiIHk9Ijk3LjQ0NSIgZm9udC1zaXplPSIxNCIgZm9udC1mYW1pbHk9IlRhaG9tYSxzYW5zLXNlcmlmIiBmaWxsPSIjMDAwMDAwIiA+ZjwvdGV4dD4gIC8qIHN6PSg0OzE3KSAqLwogIDxyZWN0IHg9IjQiIHk9IjQiIHdpZHRoPSIxOCIgaGVpZ2h0PSIyNSIgZmlsbD0iI2VlZjhmYSIgcng9IjMuNiIgcnk9IjMuMTI1IiBzdHlsZT0ic3Ryb2tlLXdpZHRoOjEuNTtzdHJva2U6IzAwMDAwMCIvPgogIDx0ZXh0ICB4PSI5IiB5PSIyMi40NDUiIGZvbnQtc2l6ZT0iMTQiIGZvbnQtZmFtaWx5PSJUYWhvbWEsc2Fucy1zZXJpZiIgZmlsbD0iIzAwMDAwMCIgPmE8L3RleHQ+ICAvKiBzej0oNzsxNykgKi8KICA8cmVjdCB4PSI5OCIgeT0iNCIgd2lkdGg9IjE5IiBoZWlnaHQ9IjI1IiBmaWxsPSIjZWVmOGZhIiByeD0iMy44IiByeT0iMy4xMjUiIHN0eWxlPSJzdHJva2Utd2lkdGg6MS41O3N0cm9rZTojMDAwMDAwIi8+CiAgPHRleHQgIHg9IjEwMyIgeT0iMjIuNDQ1IiBmb250LXNpemU9IjE0IiBmb250LWZhbWlseT0iVGFob21hLHNhbnMtc2VyaWYiIGZpbGw9IiMwMDAwMDAiID5iPC90ZXh0PiAgLyogc3o9KDg7MTcpICovCiAgPHJlY3QgeD0iMTkzIiB5PSI0IiB3aWR0aD0iMTgiIGhlaWdodD0iMjUiIGZpbGw9IiNlZWY4ZmEiIHJ4PSIzLjYiIHJ5PSIzLjEyNSIgc3R5bGU9InN0cm9rZS13aWR0aDoxLjU7c3Ryb2tlOiMwMDAwMDAiLz4KICA8dGV4dCAgeD0iMTk4IiB5PSIyMi40NDUiIGZvbnQtc2l6ZT0iMTQiIGZvbnQtZmFtaWx5PSJUYWhvbWEsc2Fucy1zZXJpZiIgZmlsbD0iIzAwMDAwMCIgPmM8L3RleHQ+ICAvKiBzej0oNzsxNykgKi8KICA8IS0tIGVkZ2VzIC0tPgogIDxwYXRoIGQ9Ik0xMi4yNSAyOC41IEMxMi4yNSA0NS4xNjY0IDU3LjU3OTkgNDUuMTY2NCA1Ny41Nzk5IDYxLjgzMjkiIHN0eWxlPSJmaWxsOm5vbmU7c3Ryb2tlOiMwMDAwMDA7c3Ryb2tlLXdpZHRoOjEuNjI1Ii8+CiAgPHBhdGggZD0iTTEwOCAyOC41IEMxMDggNDUuMTMyMyAxMDggNDUuMTMyMyAxMDggNjEuNzY0NiIgc3R5bGU9ImZpbGw6bm9uZTtzdHJva2U6IzAwMDAwMDtzdHJva2Utd2lkdGg6MS42MjUiLz4KICA8cGF0aCBkPSJNMjAxLjI1IDI4LjUgQzIwMS4yNSA0NS4xNjI5IDE1OC4zNzEgNDUuMTYyOSAxNTguMzcxIDYxLjgyNTgiIHN0eWxlPSJmaWxsOm5vbmU7c3Ryb2tlOiMwMDAwMDA7c3Ryb2tlLXdpZHRoOjEuNjI1Ii8+CiAgPHBhdGggZD0iTTIyLjUgOTAuNzUgQzI5LjM1NDIgOTAuNzUgMjkuMzU0MiAxMTguNDkgMzYuMjA4MyAxMTguNDkiIHN0eWxlPSJmaWxsOm5vbmU7c3Ryb2tlOiMwMDAwMDA7c3Ryb2tlLXdpZHRoOjEuNjI1Ii8+CiAgPHBhdGggZD0iTTIyLjUgMTc1Ljc1IEMyOS4zMzQ2IDE3NS43NSAyOS4zMzQ2IDE0OS40MSAzNi4xNjkyIDE0OS40MSIgc3R5bGU9ImZpbGw6bm9uZTtzdHJva2U6IzAwMDAwMDtzdHJva2Utd2lkdGg6MS42MjUiLz4KICA8cGF0aCBkPSJNMTk0IDk0LjQgQzE4Ny4xMTggOTQuNCAxODcuMTE4IDk0LjQgMTgwLjIzNSA5NC40IiBzdHlsZT0iZmlsbDpub25lO3N0cm9rZTojMDAwMDAwO3N0cm9rZS13aWR0aDoxLjYyNSIvPgogIDxwYXRoIGQ9Ik0xOTIgMTczLjYgQzE4Ni4xMTggMTczLjYgMTg2LjExOCAxNzMuNiAxODAuMjM1IDE3My42IiBzdHlsZT0iZmlsbDpub25lO3N0cm9rZTojMDAwMDAwO3N0cm9rZS13aWR0aDoxLjYyNSIvPgogIDxwYXRoIGQ9Ik0xMi43NSAyMzggQzEyLjc1IDIyMi4wMTQgODkuOTA4IDIyMi4wMTQgODkuOTA4IDIwNi4wMjkiIHN0eWxlPSJmaWxsOm5vbmU7c3Ryb2tlOiMwMDAwMDA7c3Ryb2tlLXdpZHRoOjEuNjI1Ii8+CiAgPHBhdGggZD0iTTEwOCAyMzggQzEwOCAyMjIuMTE4IDEwOCAyMjIuMTE4IDEwOCAyMDYuMjM1IiBzdHlsZT0iZmlsbDpub25lO3N0cm9rZTojMDAwMDAwO3N0cm9rZS13aWR0aDoxLjYyNSIvPgogIDxwYXRoIGQ9Ik0yMDEuMjUgMjM4IEMyMDEuMjUgMjIyLjAxOSAxMjYuMDU0IDIyMi4wMTkgMTI2LjA1NCAyMDYuMDM5IiBzdHlsZT0iZmlsbDpub25lO3N0cm9rZTojMDAwMDAwO3N0cm9rZS13aWR0aDoxLjYyNSIvPgogIDwhLS0gZWRnZSBhcnJvd3MgLS0+CiAgPHBhdGggZmlsbD0iIzAwMDAwMCIgZD0iTTUyLjg5OTEgNjAuOTU1MSBMNTguNSA2OCBMNjEuODAwNiA1OS42MjcxIEw1Ny41Nzk5IDYxLjgzMjkgeiIvPgogIDxwYXRoIGZpbGw9IiMwMDAwMDAiIGQ9Ik0xMDMuNSA2MC4yMDU4IEwxMDggNjggTDExMi41IDYwLjIwNTggTDEwOCA2MS43NjQ2IHoiLz4KICA8cGF0aCBmaWxsPSIjMDAwMDAwIiBkPSJNMTU0LjEzMyA1OS42NTM0IEwxNTcuNSA2OCBMMTYzLjA0NSA2MC45MTExIEwxNTguMzcxIDYxLjgyNTggeiIvPgogIDxwYXRoIGZpbGw9IiMwMDAwMDAiIGQ9Ik0zMy4wOTMzIDEyMi4wOTIgTDQyIDEyMC44IEwzNi40Mjc1IDExMy43MzMgTDM2LjIwODMgMTE4LjQ5IHoiLz4KICA8cGF0aCBmaWxsPSIjMDAwMDAwIiBkPSJNMzYuMzA2MSAxNTQuMTcgTDQyIDE0Ny4yIEwzMy4xMTY5IDE0NS43NTQgTDM2LjE2OTIgMTQ5LjQxIHoiLz4KICA8cGF0aCBmaWxsPSIjMDAwMDAwIiBkPSJNMTgxLjc5NCA4OS45IEwxNzQgOTQuNCBMMTgxLjc5NCA5OC45IEwxODAuMjM1IDk0LjQgeiIvPgogIDxwYXRoIGZpbGw9IiMwMDAwMDAiIGQ9Ik0xODEuNzk0IDE2OS4xIEwxNzQgMTczLjYgTDE4MS43OTQgMTc4LjEgTDE4MC4yMzUgMTczLjYgeiIvPgogIDxwYXRoIGZpbGw9IiMwMDAwMDAiIGQ9Ik05My44NjA5IDIwOC42ODUgTDkxLjUgMjAwIEw4NS4xNTkxIDIwNi4zODcgTDg5LjkwOCAyMDYuMDI5IHoiLz4KICA8cGF0aCBmaWxsPSIjMDAwMDAwIiBkPSJNMTEyLjUgMjA3Ljc5NCBMMTA4IDIwMCBMMTAzLjUgMjA3Ljc5NCBMMTA4IDIwNi4yMzUgeiIvPgogIDxwYXRoIGZpbGw9IiMwMDAwMDAiIGQ9Ik0xMzAuODAxIDIwNi40MjcgTDEyNC41IDIwMCBMMTIyLjA4NSAyMDguNjcgTDEyNi4wNTQgMjA2LjAzOSB6Ii8+CiAgPCEtLSBsYWJlbHMgLS0+Cjwvc3ZnPgo=)
(SVG)
![test39.gr 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)
(tkui / OpenGL)
Source:
// port margins
include diagram.gi
col_padding=20
row_padding=20
style def { // (note) update style 'def' (initially declared in 'diagram.gi')
bgcolor = #eef8fa
edge_width = 3.5
edge_width_start = 0.25
edge_width_end = 3
edge_width_left = 2.0
edge_width_right = 2.0
edge_fgtint_left = #6ffcfcfc
edge_fgtint_right = #6ffcfcfc
}
row="abc"
row="def"
row="geh"
row="ijk"
e [s=128] ports {
margin = 25%,80%,75%,40%
t1:t t2:t t3:t
l1:l l2:l
b1:b b2:b b3:b
r1:r r2:r
}
a->e:t1 b->e:t2 c->e:t3
d->e:l1 g->e:l2
f->e:r1 h->e:r2
i->e:b1 j->e:b2 k->e:b3
4.7 test37.gr
node and sub-graph stacks
![alt](data:image/svg+xml;base64,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)
(SVG)
Source:
// stacks
style def {
bgcolor=#eee
border_width=1.5
shape=rect
}
layout=fixed
row="abc"
row="def"
a->b->c
d->e->f
b [stack=3]
f [stack=3 stack_off=6,7] {
layout = table
shape = rect
border_width = 1
ipad = 1
row="ab"
row="c "
a "CONST" [border_width=1 border_dir=right font=small bgtint=#20eeee00]
b "REGS" [border_width=0 font=small bgtint=#20eeee00]
c "Shader Unit(s)" [border_width=1 border_dir=top ipad=8]
}
4.8 test35.gr
background and border gradients and patterns
![alt](data:image/svg+xml;base64,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)
(SVG)
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)
(tkui / OpenGL)
Source:
// gradients
style {
bgtint = #eee
shape = round
border_width = 1.5
s = 64,64
}
gradient greenblue {
#6f66ff99
#6f6699ff
}
gradient greenblue_multi {
#af2255aa
0.05 = #af4477dd
0.35 = #af8ace8a
#af4679df
0.85 = #ff408060
#ff167f39
}
gradient blueyellow {
#7040a0f0
#70f0f0a0
}
gradient blueyellow_multi {
#a0303000
#a05080b0
}
gradient darklight {
#ffffffff
0.4 = #a0ffffff
0.6 = #10ffffff
0.7 = #10000000
#50000000
}
layout = fixed
row="abc"
row="def"
a->b->c
c->d[arrow_snap=80%]
d->e->f
a[bg_gradient=greenblue bg_gradient_shape=v
border_gradient=greenblue_multi border_gradient_shape=v
border_color=#aaa
]
b[bg_gradient=blueyellow bg_gradient_shape=h
border_gradient=blueyellow_multi border_gradient_shape=h
border_color=#666
]
c[bg_gradient=darklight bg_gradient_shape=r
border_color=#000
bgcolor=#eec
]
d[bg_gradient=darklight bg_gradient_shape=h
border_color=#888
bgcolor=#eec
bg_pattern=lines_4 bg_pattern_intensity=0.2
border_pattern=checker_1 border_pattern_intensity=0.9
]
e[bg_gradient=darklight bg_gradient_shape=v
border_color=#888
bgcolor=#eec
bg_pattern=lines_4 bg_pattern_intensity=0.2
border_pattern=checker_1 border_pattern_intensity=0.9
]
f[bg_gradient=darklight bg_gradient_shape=r
border_color=#888
bgcolor=#eec
bg_pattern=lines_4 bg_pattern_intensity=0.2
border_pattern=checker_1 border_pattern_intensity=0.9
]
4.9 test23d.gr
table layout test, nested sub-graphs, palettes
![alt](data:image/svg+xml;base64,<svg width="878" height="255" xmlns="http://www.w3.org/2000/svg">
  <!-- bg -->
  <rect width="100%" height="100%" fill="#f9f9f9"/>
  <!-- edges -->
  <path d="M21.2 13.5 C30.735 13.5 43.4483 123.004 52.9833 123.004" style="fill:none;stroke:#000000;stroke-width:1.2"/>
  <!-- nodes -->
  <rect x="2" y="2" width="18" height="23" fill="#eeeeee" />
  <text  x="6" y="20.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >a</text>  /* sz=(9;21) */
  <rect x="58" y="116" width="18" height="23" fill="#eeeeee" />
  <text  x="62" y="134.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >b</text>  /* sz=(9;21) */
  <rect x="114" y="2" width="760.8" height="249.8" fill="#000000" fill-opacity="0" stroke-width="1.2" stroke="#000000" />
  <rect x="115" y="3" width="758" height="248" fill="#eeeeee" stroke-width="0" stroke="#000000" />
  <rect x="115" y="231" width="758" height="19" fill="#eeeeee" />
  <text  x="834" y="245.85" font-size="13" font-family="Tahoma,sans-serif" fill="#000000" >nodeK</text>  /* sz=(35;17) */
  <rect x="309" y="199" width="564" height="32" fill="#c0d8d8" />
  <text  x="543" y="225.5" font-size="24" font-family="Tahoma,sans-serif" fill="#557777" >Big Cell J</text>  /* sz=(95;30) */
  <rect x="115" y="199" width="194" height="32" fill="#d0d0d0" />
  <text  x="165" y="225.5" font-size="24" font-family="Tahoma,sans-serif" fill="#557777" >Big Cell I</text>  /* sz=(94;30) */
  <rect x="764" y="180" width="109" height="19" fill="#d0d0c0" />
  <text  x="784" y="194.85" font-size="13" font-family="Tahoma,sans-serif" fill="#555555" >Small Cell H</text>  /* sz=(69;17) */
  <rect x="359" y="26" width="405" height="173" fill="#eaeaea" stroke-width="0" stroke="#000000" />
  <rect x="378" y="165" width="50" height="19" fill="#eaeaea" />
  <text  x="382" y="179.85" font-size="13" font-family="Tahoma,sans-serif" fill="#555555" >Node A</text>  /* sz=(41;17) */
  <rect x="451" y="31" width="217.8" height="161.8" fill="#fbf4dc" rx="14.4" ry="14.4" style="stroke-width:1.2;stroke:#ff0000"/>
  <rect x="458" y="34" width="203" height="154" fill="#fbf4dc" stroke-width="0" stroke="#000000" />
  <rect x="458" y="163" width="50.8" height="23.8" fill="#e0e0c4" rx="13.65" ry="10.5" style="stroke-width:1.2;stroke:#eeeed8"/>
  <text  x="462" y="182.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >Sub 2</text>  /* sz=(41;21) */
  <rect x="458" y="71" width="50.8" height="23.8" fill="#e0e0c4" rx="13.65" ry="10.5" style="stroke-width:1.2;stroke:#eeeed8"/>
  <text  x="462" y="90.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >Sub 1</text>  /* sz=(41;21) */
  <rect x="548" y="34" width="111.8" height="99.8" fill="#f0e0c4" rx="8.4" ry="8.4" style="stroke-width:1.2;stroke:#000000"/>
  <rect x="552" y="36" width="101" height="94" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <rect x="552" y="106" width="101" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="556" y="124.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >k</text>  /* sz=(8;21) */
  <rect x="590" y="83" width="63" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="594" y="101.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >j</text>  /* sz=(5;21) */
  <rect x="552" y="83" width="38" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="556" y="101.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >i</text>  /* sz=(4;21) */
  <rect x="634" y="59" width="19" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="638" y="77.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >h</text>  /* sz=(9;21) */
  <rect x="614" y="59" width="19" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="618" y="77.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >g</text>  /* sz=(9;21) */
  <rect x="589" y="59" width="25" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="593" y="77.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >f..</text>  /* sz=(15;21) */
  <rect x="571" y="59" width="19" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="575" y="77.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >e</text>  /* sz=(9;21) */
  <rect x="552" y="59" width="19" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="556" y="77.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >d</text>  /* sz=(9;21) */
  <rect x="634" y="36" width="19" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="638" y="54.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >c</text>  /* sz=(8;21) */
  <rect x="589" y="36" width="44" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="593" y="54.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >b</text>  /* sz=(9;21) */
  <rect x="552" y="36" width="38" height="24" fill="#f0e0c4" stroke-width="0" stroke="#000000" />
  <text  x="556" y="54.05" font-size="16" font-family="Tahoma,sans-serif" fill="#002222" >a</text>  /* sz=(9;21) */
  <rect x="695" y="165" width="50" height="19" fill="#eaeaea" />
  <text  x="699" y="179.85" font-size="13" font-family="Tahoma,sans-serif" fill="#555555" >Node C</text>  /* sz=(41;17) */
  <rect x="309" y="26" width="50" height="23" fill="#000000" />
  <text  x="313" y="44.05" font-size="16" font-family="Tahoma,sans-serif" fill="#ffffff" >Cell F</text>  /* sz=(41;21) */
  <rect x="213" y="101" width="96" height="23" fill="#d0f0f0" />
  <text  x="217" y="119.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >Small Cell E</text>  /* sz=(87;21) */
  <rect x="115" y="101" width="98" height="23" fill="#e0f0e0" />
  <text  x="119" y="119.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >Small Cell D</text>  /* sz=(89;21) */
  <rect x="764" y="3" width="107.8" height="22.8" fill="#000000" fill-opacity="0" />
  <line x1="871.8" y1="25.8" x2="764" y2="25.8"  stroke-width="1.2" stroke="#666666" /> /*t*/
  <rect x="764" y="3" width="109" height="23" fill="#f2f2de" />
  <text  x="768" y="21.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >Header Cell C</text>  /* sz=(100;21) */
  <rect x="309" y="3" width="453.8" height="22.8" fill="#000000" fill-opacity="0" />
  <line x1="762.8" y1="25.8" x2="309" y2="25.8"  stroke-width="1.2" stroke="#666666" /> /*t*/
  <rect x="309" y="3" width="455" height="23" fill="#def2f2" />
  <text  x="486" y="21.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >Header Cell B</text>  /* sz=(100;21) */
  <rect x="115" y="3" width="192.8" height="22.8" fill="#000000" fill-opacity="0" />
  <line x1="307.8" y1="25.8" x2="115" y2="25.8"  stroke-width="1.2" stroke="#666666" /> /*t*/
  <rect x="115" y="3" width="194" height="23" fill="#eef2ee" />
  <text  x="161" y="21.05" font-size="16" font-family="Tahoma,sans-serif" fill="#000000" >Header Cell A</text>  /* sz=(101;21) */
  <!-- edges (sub) -->
  <path d="M76.2 127.5 C91.5511 127.5 91.5511 127.5 106.902 127.5" style="fill:none;stroke:#557777;stroke-width:1.2"/>
  <path d="M428.2 174 C436.086 174 436.086 113.409 443.973 113.409" style="fill:none;stroke:#555555;stroke-width:1.2"/>
  <path d="M670.2 112 C679.083 112 679.083 173.638 687.965 173.638" style="fill:none;stroke:#555555;stroke-width:1.2"/>
  <path d="M484 96.2 C484 126.051 484 126.051 484 155.902" style="fill:none;stroke:#002222;stroke-width:1.2"/>
  <path d="M510.2 84.5 C525.551 84.5 525.551 84.5 540.902 84.5" style="fill:none;stroke:#002222;stroke-width:1.2"/>
  <!-- edge arrows -->
  <path fill="#dd5511" d="M 49.8349 125.676 L 56.8 127.5 L 56.1317 120.331 z"/>
  <path fill="#dd5511" d="M 106.902 131.63 L 112.8 127.5 L 106.902 123.37 z"/>
  <path fill="#dd5511" d="M 444.609 117.489 L 449.8 112.5 L 443.336 109.328 z"/>
  <path fill="#dd5511" d="M 687.362 177.723 L 693.8 174.5 L 688.569 169.552 z"/>
  <path fill="#002222" d="M 479.87 155.902 L 484 161.8 L 488.13 155.902 z"/>
  <path fill="#002222" d="M 540.902 88.6298 L 546.8 84.5 L 540.902 80.3702 z"/>
  <!-- labels -->
</svg>
)
(SVG)
Source:
// table layout test (alternative long-id row syntax,
// nested sub-graph in table cell, nested table in sub-graph)
style default {
bgcolor = #eeeeee
fgcolor = #000000
}
style tbl_hdr {
bgcolor = #eee
fgcolor = #777
border_style = solid
border_width = "1"
border_color = #666
border_dir = bottom
align = expandx
}
style tbl_def {
default
}
style tbl_inv {
bgcolor = #000000
fgcolor = #ffffff
}
style tbl_small {
bgcolor = #eeeeee
fgcolor = #555555
font = small
}
style tbl_big {
bgcolor = #eeffff
fgcolor = #557777
font = big7
}
style tbl_k {
default
font = small
text_pos = right
}
style def {
bgcolor = #ddd;
fgcolor = #007;
}
style sub {
bgcolor = #e4e4c8;
fgcolor = #022;
}
style subtable_b {
bgcolor = #fff8e0;
}
style subtable_3 {
bgcolor = #f4e4c8;
fgcolor = #022;
text_pos = left;
shape = rect;
border_width = 0;
}
palette arrow {
red = #d51
}
a[align=top]->b [arrow_fgcolor=arrow.red bend=30%]
// (note) table sub graphs look like a single cell to other graphs
// (note) layouting merely affects the _inner_ node placement of the sub graph cell
graph T {
layout = table;
border_width = 1;
ipad = 1.0
// table layout:
class=tbl_hdr; row="nodeA| |nodeB| |nodeC";
class=tbl_def; row="nodeD|nodeE|nodeF|nodeG|nodeH";
class=tbl_big; row="nodeI| |nodeJ| | ";
class=tbl_def; row="nodeK| | | | ";
// table cell details:
nodeA "Header Cell A" [bgcolor=#eef2ee];
nodeB "Header Cell B" [bgcolor=#def2f2];
nodeC "Header Cell C" [bgcolor=#f2f2de];
nodeD "Small Cell D" [bgcolor=#e0f0e0 align=baseline];
nodeE "Small Cell E" [bgcolor=#d0f0f0 align=baseline];
nodeF "Cell F" [class=tbl_inv align="left;top" pad=0];
nodeG "Small Cell G" [class=tbl_def] {
cell_slant = true;
zero_margin = false; // allow padding at the sides
ipad = "2;0;2;0"
bgtint = #04000000
a "Node A" [class=tbl_small align=bottom];
graph b {
unfold = false
rotate = true;
shape = round;
border_style = solid;
border_width = 1;
border_color = #f00;
pad = "4;4;4;4"
ipad = "3;6;3;6"
class=sub;
1 "Sub 1" [shape_round_amount=42% border_width=1 border_color=#eeeed8];
2 "Sub 2" [shape_round_amount=42% border_width=1 border_color=#eeeed8];
3 [class=subtable_3];
3 "Sub 3" {
layout = table;
ipad = "2;4;2;4";
shape = round;
shape_round_amount = 20%;
shape_round_limit = 7;
border_style = solid;
border_width = 1;
border_color = #000;
class=subtable_3; row="a b c";
class=subtable_3; row="defgh";
class=subtable_3; row="i j ";
class=subtable_3; row="k ";
f "f..";
} ;
3 [class=subtable_3]; // merge bgcolor
1->2;
1->3;
}
b [class=subtable_b pad_l=4] // merge bgcolor
class = tbl_small;
c "Node C" [pad_l=16 align=bottom];
a->b [arrow_fgcolor=arrow.red arrow_snap=75%];
b->c [arrow_fgcolor=arrow.red arrow_snap=75%];
}
nodeH "Small Cell H" [bgcolor=#d0d0c0 align=bottom];
class=tbl_big;
nodeI "Big Cell I" [bgcolor=#d0d0d0];
nodeJ "Big Cell J" [bgcolor=#c0d8d8];
nodeK [class=tbl_k];
}
b->T [arrow_fgcolor=arrow.red arrow_snap=65%];
4.10 test41a.gr
solid, dotted, dashed and stacked rect shapes
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(SVG)
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)
(tkui / OpenGL)
Source:
// solid dotted, dashed and stacked rect shapes
style {
bgcolor = #eee
shape = rect
blend = srcover
border_width = 2
border_color = #666
w = 74
ipad_v = 6
stack_alpha_dcy = 0.7
align = left,top
}
graph {
layout = fixed
ipad = 8,16,8,16
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=3 stack_alpha_exp=0.9]
e [border_style=dotted stack=3 stack_alpha_exp=1.7]
f [border_style=dashed stack=3 stack_alpha_exp=2.3]
d->e->f
}
4.11 test41b.gr
solid, dotted, dashed and stacked rect shapes
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(SVG)
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)
(tkui / OpenGL)
Source:
// solid dotted, dashed and stacked round shapes
style {
bgcolor = #eee
shape = round
blend = srcover
border_width = 2
border_color = #666
w = 74
ipad_v = 6
stack_alpha_dcy = 0.7
align = left,top
}
graph {
layout = fixed
ipad = 8,16,8,16
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=3 stack_alpha_exp=0.9]
e [border_style=dotted stack=3 stack_alpha_exp=1.7]
f [border_style=dashed stack=3 stack_alpha_exp=2.3]
d->e->f
}
4.12 test41.gr
solid, dotted, dashed and stacked rhomb shapes
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(SVG)
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)
(tkui / OpenGL)
Source:x
// solid, dotted, dashed and stacked rhomb shapes
style {
bgcolor = #eee
shape = rhomb
blend = srcover
border_width = 2
border_color = #666
w = 53
shape_rhomb_tx = 16
shape_rhomb_ty = 2
ipad_v = 6
stack_alpha_dcy = 0.7
}
graph {
layout = fixed
ipad = 8,16,8,16
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=3 stack_alpha_exp=0.9]
e [border_style=dotted stack=3 stack_alpha_exp=1.7]
f [border_style=dashed stack=3 stack_alpha_exp=2.3]
d->e->f
}
4.13 test42.gr
solid, dotted, dashed and stacked ellipse shapes
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(SVG)
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)
(tkui / OpenGL)
Source:
// solid, dotted, dashed and stacked ellipse shapes
style {
bgcolor = #eee
shape = ellipse
blend = srcover
border_width = 2
border_color = #666
shape_ellipse_rx = 40
shape_ellipse_ry = 0
ipad_v = 8
stack_off = 0.5,4
stack_alpha_dcy = 0.7
align = left,top
}
graph {
layout = fixed
ipad = 8,16,8,16
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=3 stack_alpha_exp=0.9]
e [border_style=dotted stack=3 stack_alpha_exp=1.7]
f [border_style=dashed stack=3 stack_alpha_exp=2.3]
d->e->f
}
4.14 test42b.gr
tinted, dashed and stacked ellipse shapes
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tPgogIDwhLS0gZWRnZSBhcnJvd3MgLS0+CiAgPCEtLSBsYWJlbHMgLS0+Cjwvc3ZnPgo=)
(SVG)
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)
(tkui / OpenGL)
Source:
// tinted, dashed and stacked ellipse shapes
style {
bgcolor = #d9d9d9
fgcolor = #fff
shape = ellipse
blend = srcover
border_width = 2
border_style = dashed
border_color = #666
shape_ellipse_rx = 40
shape_ellipse_ry = 0
ipad_v = 8
stack = 3
stack_off = 0.5,4
stack_alpha_dcy = 0.7
stack_alpha_exp = 2.3
align = left,top
}
graph {
layout = fixed
ipad = 8,16,8,16
bgcolor = #f9f9f9
row="abc"
row="def"
a [bgtint=#90ff0000 border_tint=#40ff0000]
b [bgtint=#90ffff60 border_tint=#40ffff60]
c [bgtint=#908080ff border_tint=#408080ff]
d [bgtint=#90ff7f00 border_tint=#40ff7f00]
e [bgtint=#907fff60 border_tint=#407fff60]
f [bgtint=#90c080ff border_tint=#40c080ff]
}
4.15 test43.gr
solid, dotted, dashed and stacked diamond shapes
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(SVG)
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)
(tkui / OpenGL)
Source:
// solid, dotted, dashed and stacked diamond shapes
style {
bgcolor = #eee
shape = diamond
blend = srcover
border_width = 2
border_color = #666
shape_diamond_rx = 16
shape_diamond_ry = 16
ipad = 16
stack_off = 0.5,5
stack_alpha_dcy = 0.7
}
graph {
layout = fixed
ipad = 8,16,8,16
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=3 stack_alpha_exp=0.9]
e [border_style=dotted stack=3 stack_alpha_exp=1.7]
f [border_style=dashed stack=3 stack_alpha_exp=2.3]
d->e->f
}
4.16 test44.gr
solid, dotted, dashed and stacked hexagon shapes
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)
(SVG)
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)
(tkui / OpenGL)
Source:
// solid, dotted, dashed and stacked hexagon shapes
style {
bgcolor = #ddd
shape = hexagon
blend = srcover
border_width = 2
border_color = #666
shape_hexagon_ax = 2
shape_hexagon_ay = 4
ipad = 2
stack_off = 3.5,3.5
stack_alpha_dcy = 0.7
s = 35,50
align = left,top
font = small
}
graph {
layout = fixed
shape = rect
ipad = 8,16,8,16
zero_margin = 1
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=5 stack_alpha_exp=0.9]
e [border_style=dotted stack=5 stack_alpha_exp=1.7]
f [border_style=dashed stack=5 stack_alpha_exp=2.3]
d->e->f
}
4.17 test45.gr
solid, dotted, dashed and stacked triangle shapes
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(SVG)
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UCW7AVYlttYSKOIVNdE0KlaIbfx+EyqjijbhFqKQoVLoat51/ejJAX1YN+cnS3V/2vTr7XVFlsWLLXzlTtN8exz+Wu9/9HSvqLHmPHBC+sMrb7x7Lf1/+jQlXpd1YHsQ4j5F3HDc2fcqOVfZ7PmXvpez3iq4DhAoAAAAAQgUAAAAQKggVAAAAQKgAAAAAIFQAAAAAoQIAAACAUAEAAACECkIFAAAAECoAAAAACBUAAABAqAAAAAAgVAAAAAChglABAAAAhAoAAAAAQgUAAAAQKgAAAAAIFQAAAECoAAAAACBUAAAAABAqAAAAgFABAAAAQKgAAAAAQgUAAAAAoQIAAACAUAEAAACECgAAAABCBQAAABAqAAAAAAgVAAAAQKggVAAAAAChAgAAAIBQAQAAAIQKAAAAAEIFAAAAECoIFQAAAECoAAAAACBUAAAAAKECAAAAgFABAAAAhApCBQAAABAqAAAAAAiVNHjyySezu+66i3MBAACAUImPq666Kjv99NM5F5CcwOY8QIr5lvOAUIEayEmRSBG4KpCSSCFmIdV8S9wiVKAGVqRYOCeQklAhZiHVfItYQahATTeFiwdSnK4kZiHVfEvcIlSgxogUVwVSj13OC6SYbxErCBWoOCLl4oHUpyyJWUg133J+ECpQ000h8UMKBbQrVqyYjtWlS5dyfiC5fEvcIlSghrq//PLLDQgVSCVubcw+99xzhpdeeolzBMnkW+IWoQI11f1DDz2U3XTTTW/bP3/+/GzDhg2cN4g2bm3CF/bnOF+QWtwCQgUqqvs8sTJv3jzOG0SDdf7cuHVjV07giy++yLmCKFf6+HHruipbtmzhnCFUoIq6979//vnn46pAFLz66qsmRhWzNm711Y/ZOXPmZDt37uScQRRs27ZtWmD7+dby7LPPZqtXrzZfOWcIFVZKDFD3uCoQ46hUX1944YXcJO/HrISKim05dxADNm6LRIp49NFHjVBZtmwZYgWhggXpUnTR4KpAbHGrKcuyRG9XUejfDz/8cHbrrbfiqkA0LuAgrNjWoBChglBhysdZGjfoosFVgdinKvNYv359tnz5clwViMZNKSJv6hKxglChgHaAm4KrAjE7gVVGp+IXv/gFtSqQlJviomkgziFChVHpEBePlD5iBUKzadMmU081TNyyXBlC51sbc4PclLKBIX2sECosRx7y4sFVgdBo6WbVeCXhQyz5dlBNVZWBIecToYKbMuTFI7Fyzz33ZE888QTnGMYat/paR6T4Mas6rFdeecUck94qEHu+RWQjVHBTaropRWLlhz/8YTZr1qzs17/+NecYxh63Vad8/AJF+2/dPOwKoJdffpnzC9Hm2yJXRVNInF+ECuq+5sUjsXLNNdfgqkC0cetyyy23mOJaOYF/+tOfOM8Qbdz6x7jtttt4JhBCBXU/rFj58Y9/jKsCY0v6Ra3yR4ldCZXHH3+ccwzR5tu8XKt9O3bsQKwgVLq9pLOJUSmuCoRe1um2ym8iZhctWpQ99thjuCoQdb51xcq1116bLVy4MPvd736HUEGodIs6zd1wVSCmhF93WWedmF28eLFpVY6rAjHnW9sETsd58MEHs5tvvtlMASFWECqdVvdNJH1cFQgRt3WXdVaJWXvjePrpp830D7UqkEK+taxZs8aIbnVa1v857wiVzhV0NeGmVHFVECsQUwFtEdddd112ww03sFwZos+3fkG4RBGt9REqFHThqkAkS5LHkexta/1zzjnHFCdy3iGVuN26dWu2atWq7N577+W8I1QYlbJcGdqiTqv8UeP2jjvuMK9JbxWIOW5dpqamjFDBVUGo4KYM2QRu9uzZFNbC0NRtld+EwGYFEMQety4LFizgSfYIFdwUXBUIHbcS2MO0yh9l2lJ1BJr6eeSRR7J169YhVmBoQsStcrmbcycnJ3FVECq4KSxXhjbm98dtnbvH37JlSzZ//nzTp4IW5TAMTS2jH/ZJ9hIr6jnE3wKh0svmbhTWQtdcwDy0+kd2OoW1UBfblDAUeWJl+/bt9FVBqKTZbCiEm4KrAk2JlaZa5Y8Su8Qr1Mm3GhyGclPKBoaKYZ4DhFCh2RCuCgQYlYZ2UvyY1Qqg559/nloVqJxvQ0xVVhkY7tu3jyZwCBWaDeGqQNNxK0LO8Q+K2euvv94U1qq1PsuVIeZ867+HG2+8EVcFoUIBLa4KjCNum26VP4xY8Vvr6/+4KhBzvsVVQahQiNjgxXP22WcjViDquM1rrb9z507+VhB13OKqIFRQ9w27Krqg+ZuB2zclprh1W+vrPekptfytIOZ8mzcwXLhwoXm6Mn8vhArqniZw0ACK1zaKEWmtD13Lt5qulLgWEiq4KggV1H3NpP+9732Pwlp4CyFbjo/SWl+Ftfy9INZ864olCRQJlRUrViBWECqo+yoXD64KFE35bNu2LSqRUtZaX7FMYS1xG3O+dbGuyt133023WoQK6p7lyjBK3MYy5VOltT4da+mbEnu+dV0VvV+eroxQia65W6zqHlcFUhyVWh544IHsJz/5CUIFjAuYStxu3bo1W7VqlREr/O0QKq0QQ7MhXBUYVqzYVvkxx60fu4sXL+bv13NsU8LYRYorVJYtW4arglCJw02J/aLBVQFLW63ymxDYaq1P0u933KaCG7+4KgiV1q3z2EelZa7KkiVLECs9idu2W+WPKrDd1voU1vbXTUktbsXk5CQCG6FCAS2uClSJ27Zb5TfRWl+FtSxXxk1JbWCoa091VixXRqhQiEgTOOhY3NJaHxcwxVj18+1ll11Ga32ECm7KMBePhMrs2bMprO1B35SU49ZvrT9nzhz+triAyQ0MtQ+xglBhVIqrAgXE1Cp/1OaFtNYn36aab+33+DsjVHBTWK7cOmvWrKEQcYwxu3LlSlOrgljpXtx2Kd/iqiBUaO5GYW20nHjiidmFF17YatzG3Cp/lAe/qShRn0stylkB1L247VK+zRPZ+/btw1VBqHSnuduMGTMMuCppJvyJiQnztY1RaldGpHm4rfXXr19PvHU0bkPkW8XPFVdckZ111lnZmWeemV1wwQVBXBVWACFUOtPcTQlD4Kqkm/AtIZN+3hx/l4SK21pfD38j3roRt6HzrWqdDjzwwLd83nHkW3dgeO6555picD1dGVcFodKJ5m7jFCplrsr+/fu5OBpO+HaUGjJ+U2mVT2t94raNfHvSSSeZz3fyySdnGzZsmJ6SGdfAUJ9HDyy0T1fWv3FVECrJF3SNU6jgqoRP+CEt9VRa5TfVWp8mcGnHbRv59vDDDzefbd26dcGfriyhIldF/9a1SuwhVJJdHjduoZKX9M8+++xWxIoK+LpEUcK3jKNgMdVW+Sm31idu0823BxxwgPlMe/bsCR7DEiqa6lK9FUIEoZKEur/99tuzz33uc9l73/tewzHHHGPm38ctVISdHvBdFSWKkOe8LDl2laaTfugmWZs3bzZN2GbOnJmdccYZphBRnWN3797dSmt9fQ2dK4jbNJsSHnvssbmfLfTTlfXAQp4DhFCJXt3Pmzcvt6Ar1MUTSxO4ro1M20j2IeNW8XHQQQflfrYPf/jDxuHoQ2t94jbNpoRtCxUxNTVlhMrq1asRIwiVeN0UjUgPPfRQc4HotTZu3Jg988wz5uvPfvazYBcPy5XDzfWP0z4PNSq1cfvBD37QOBmaepGLoiZsn/nMZ6bjuY3W+i+++CLxl1DcWlRU2rWp9UEsWLDAPFlZg1VcFYRKtKPSWbNmmQvl1FNPbfVC8luUU1g7noQ/7kZaKsoLMSq96KKLzOeRMMkrFNT3PvKRj7QSt6+99hpN4BKM2zaEQptCxR8cylkh/hAqUdamnHbaaeZC0Xr+ti8kXJXxJvwQ3T5DFdDauC3jkEMOaaXLsm2tj1ghbmMWKn7cWleFFUAIlehaN9ukUNTmPPSFhKvSfMIfd6Jvo1X+CSecUKnoMnRrfRXW2tb6LFeOO27bdlNic1SEplFpAodQia5V/nHHHWcuFE05xXAh4aqk98yUNnr9HH/88SYun3rqqWieruy21lfNCq31445biWvlvTaX0bddo+Ln2xtvvJEHFiJUqk/5hCoE/OIXv2gulLVr10ZzIeGq8IiHQZxyyikmLu+8885oW+ursJYYiT/fhlrlk4JQ4enKCJUoW+V/97vfNRfKOeec87bv7dq1q5ULqchVWbJkCWIl0vgN3SpfzytRXH7hC1+gtT4k92iSWIRKUb7VfjlNxAtCJYpW+cuXLzcXymGHHZbNnTvXzK+LK6+8MjviiCNau5BwVdKhjVb5mlaxPVQkVuTsqD5ENyH1hNCqoI997GPBp3/8uL3lllsorCXfRi1Uip6ujKuCUImmVb4egvX5z38+txBRib6tCymWJnAwuFV+W8lVwrqo4VsMcdt2a32I99EksQmVIleFwlqESjTqXiPR73//+9mRRx6ZHXzwwdlRRx2VzZgxwzTQiqkqXUKFwtq44jZUq/wi1Pvhq1/9avahD33ILEcWRx99dPatb30rt8dKCIpa67/88svEDvk2SqGS56rIDeTpygiV6NR9Ck+pxVUhblPCttbXU2qJHeI2hXwroa0HFtqnK+Oq9FyoxKbuUxEruCrtJ/zQD3BLFVrrk29TwrqBclKsUMFV6bFQaaO5W6rgqsRZQBvyAW6pkVdYq3ilVoV8mwrWVdGgkOaFPRUqsSyPw1WBlFqOpyywaa1Pvk0JOSkSeKoD44GFPRQqbTXJwlWB1Frld2XO322tr8Ja4qndvEt8VmPr1q3ZqlWrECt9EyoxNRvqiquyf/9+EnHguGV+vx579uwxhbW01m/fBSTfVkcDwampqWxyctL0J0Ko9ESoUNCFq9IFF5C4Ha21/s6dO4mrFpoSwvADRPt0ZYRKx4UKy+NYrtyVVvnE7WixSzxRU5Vivu2zq9IboYKbMjr2RukLFQprx4+WKIZuld9VN5DW+uHjFkaPW93D9u7d28vlyr0QKrgpuCq0yidu/db6LPskblPLt/a+hVDpoFDBTWG5Mq3yaaZFa/2wcas+IMQeDyxEqOCmUFhLy3EYsrX+woUL6VhL3CY3MOyjWOm8UPH/yLgpuCq0yqe1vs7pueeei1Ah3yaZbxEqHRIqtG7GVaFVPrit9f2CcOUIFdVSWEu+TemREH1zVTotVGjuhqvCsk4oi1tN/7ACiHybYr5Vm/2+FNZ2Vqj4BbS0bsZVSSVuaZU//rjNa62PWCHfppJv1biwT09X7qRQoaCrXVcFsUKr/NitdLewVjUrS5YsIQbJt9HnW+tS2acrS6z0wVXppFBhOTKuCq3ygdb65NsuP13ZChX9W/VsCBXUPdAEjlb5HY9dCUVikHybChIqilm11v/rX/+KUEHdQ52EL6FCYS2t8lN7JASt9VlGnxKbNm3KVq1ald17772df2Bhp4QK6h5XJeWW4zxlNo7W+uvWraNjLcvok2BqasoIlWXLlnVarHRKqOCmsFw55Tl+En17hbVua30lfYQKy+hTYOvWrdnk5GTnn67cGaGS12wI2gVXZfS4LSpcdgWNRKJEjrCNoNwGZ/5+O+1h8QWn3e++hj2Wvu/v1z6Lf6xB+4uO5Qs2/d9SZf8wv3PllVdmV199temtQmFtdTclr6i+akznNeSrgh9T4ziOey3Yny1i0CCuKmWfKe/n3fM6b968zroqnREqCIM4wVWp33K8rlBxf8cXKkXuYtFruMfyxdAor1Hl/bqv4R7L78xZVbyN8n4RKvXclKaEStVjlLnlee5uEWXiwL8WyyhzQps4N1U/k1yVLvZV6YRQwU3BVemKm+LXWdmf1TJad79qKV555RXDFVdcMb3/9ttvz/74xz9mu3btMnPXdv9Pf/rT7B//+Mc07rHc/fo5u//RRx+d3q9lkHa//m3362eqvIZ7LPc13GO5r+Eey30N//0WvUbd9+u/Bq31xzdQ/Pe//53Ljh07Kh9DMS83Jw8NjKoeRz9bdBz3uhrE9u3bC49T59yM+pk0ddnF1vrJC5W8AlqI01VBrLx9tYS6ogr9Py+etU8PznNvvIOEivZpuaJqLfoqVIpeo+r7tedYEK8IlVSEiuvKX/6W7wAACOtJREFUIFQSRQlL83iah9ZNQon8b3/7Wy4KPC3/2rhxo2mo89hjj5kbBlRDF/mll16aXXDBBXSrHRFNQyh2b731VrOEVvauFSnC3lBd8fLPf/7T3JRd3JvysPt/9atfve172mepst8exz+Wu9/9He2XqLD4wsriC6u8/e6x/Pflihsxd+5cWuuPwJYtW0ysytnTMlrl0yKR4ooV5d4qFN3Uq/5+2THyjiOxUETZscp+z6fsvZT9nvLtZZddZrDTUF1yVXojVP7whz8YkSLs81Rkj+eJlOeff95cVEIixT78CQFSHSUndfy8+OKLs5kzZyJWRkTnVElfQuX3v//9W4SKRS6K0L/dGzDUQ9Nsbmt96lXqozhUvAqJFKF6ljxxohVWQv8uEw5Qzp///Ods7969BuuqdKVjbW+ECm5Ke2LFdVUorB2O//znP0aAFIkUsWfPHiO+Vfm/f/9+RMeQ6KZ6ww03GFGo7p8IleGEihyVKm6KHCvdVP/yl78gOEbECpV9+/Z1ylXphVCxborWm1d1U6xIwU0ZTajIksRVGd5FEa+99lqhOHHdFMW0kH0uECvDoRusBjJCT1e2fw96q9Tjv//9r4lf5dMyN8WO/u1N9u9//zuioyFXRXmgC2KlF0LFuimacx7kptgpnw0bNuCmjMFVYblydTQFodi97777Sp0UK1TkqFiRogZmiI7h0bnU13/9619m8KL6n663KR+HCzioJsWKFDkAurnqXCM4mhErDz/8cGeertx5oSLB4bspRcyePTu75JJLDHIBhJ6qKlcARkPn8rzzzsNVqVlAq6kHTUFoKsJORwhXpNh9QudVIkVuipwBtdgW+re9CSuJ5e0Xdr/wXQa7X7/vH0vf9/drn8U/1qD9Rcdy99vvWarsr/M7Ooc6lxKMDz74oGmtT2FtdTdFQsTWp+Sh1W6KcRvnRW6KzrnyeBXsoyjyaOo4+p7/s0WUCYqy36t6HH0m/2fXrl2bLVq0yPReUc7QgDt1V6XzQsUW0Fo3pQxfpKjhDyKjGXBV6ruAYvny5dMrfVxBkidU5BS6N1/dDOwUhi9U7H79jHuztvuFX7dh97uv4U6TDPMaVd6v+xrusdzX8N9v0WvUfb+aNp4/f77pT6GvmsIgPqu7KWVCxRUpQsKw6GbsCugyJByKbuoS8VWPUyYO9BpVj6P3XnScqscQdT6TYtgOzjUo7IKr0mmhYt2UKsyaNWv6Jqp6CiFxA81hzyuuSjU3xcX2UrHYn9V0xOLFi01y0vJlWefWVr///vvNPqFaC7tfP2P362dcK97uF+5+91jua+i4o7xGlffrvoZ7LPc1/Pdb9Bp136/2a/WPRqYU1tbHrvzxueOOO94mVFSLlYemMjSFXIXNmzcXHkfuWNXj6GeLjqPXqHocvfei41Q9hqj7mWwhuNA5Tr0fUGeFirsceRAa8fsiRVM+iItmUV8VV6zgquQX0GqqQTdEof+7Td9coaJCRCUgjfR1M9Uzaka58fdBqAwj3pYuXTr9PVckwnBC5be//e3bRMrKlSsRKg0KFaHuykL/Tv2Bhb1q+FaEGuTopmmbaql40a7th2ZxEz7dakdDtrKEigq+H3nkkWz37t1vucHq5msp2l/2vTr7ddP3v6d9lir77XH8Y7n7fXEhUWHxhZXFF1Z5+91j+e/LFTe6qa5fv55alQaeD2QLaPXIh6IbsStWqjLOY+QdR2KhiLJjlf2eT9l7Kfs9iSqLCu4RKomieVHb3c8mI11AiIrxoM6g9jzb845YGR6dUwkUCRUlokGrLGB45NLqPNsuwIiV4Z+27C5H1sqqQUIFRgdHBTcFhhAruCqjowSkm6iW1iMmxosVhHKwECrDCxU5KnXcFGgGrcRCqCTspuhBbrgpuCopuSjCLgGFsI6KYPXPaMhFkUjBTWnHVUmttX6vhYp1UzTvjJvSrqtCYW11tNJHI3qN8JnuCYt1rlK30tt2AaE9V0U9VVJbrtxboaIRvO+mQDvob4CrUq+AVgWfGtnbxzzYkb57U7X7/PoVOQO2OZT+bffrZ/L2C7ehlO8y2P3ua9hj6fv+fu2z+McatL/oWL5gsw9orLp/mN9RnxUrvInNekLFba43iKKbrnVlqqC/3biPo+/5P1tEmZgo+72qx9Fn8n9W3a1t12rl2pSawPVWqNhRvHVToD1wVapjCznlSNmVPq4gqSJU3N/xhYrd768gKnoN91i+GBrlNaq8X/c13GO5r1FHvNV9v7ZWJfUeFW24KU0JlarHKKuF0d+46nHKxIFeo+pxyqa8mjg3eZ9JIkXPsNMKIDU7TMlV6aVQsW4KxAeuymA3xcX2Usm7Yfo/508d+QWh7rH859oUvYZ7LPc13Pc6zGtUeb/ua7jHGuac1H2//mtQWFsPu/KnClVWEA2irKbIToVUocyFsMuuq1BWI9LEuSn6THpoadXPg1CJZDkyxAmJPL+AVjdKJUNhb7JNCpWiG38fhMqo4g1XBaGSglCpcwyECgC0vmrIr63wC57r/k7efldUuQndUmW/PY5/LHe/+ztW1Fl8YWXxhVXefvdY/vtyxQ2uSnvLnasyzmPkHUdioYiyY5X9nk/Zeyn7Pfe6SWEFEEIFAAAAECoAAAAACBUAAADoj1B5/fXXOVEAAAAQHGkQhAoAAACkK1TeeOMNThYAAAAERxoEoQIAAABR8uabbw4WKhTUAgAAQNRCBVcFAAAA2q5PQagAAABAtG5KoVBh+gcAAABCUrQVChVcFQAAAGhrtc9AoYKrAgAAAG26KQOFCq4KAAAAtOWmDBQqiBUAAAAIvdKnllBhCggAAABCrvSpLVRwVQAAACC0SKksVBArAAAAEKouZSihglgBAACAkCKltlDRJquGEw0AAADjFilDCRUrVlSpy0kHAACAcQiUkYQKU0EAAAAwbpEyslBBsAAAAMA4BEqjQoUpIQAAAJA4aUqgjEWouIJF6M1KuCBeAAAAuoW9v49DnIxdqLCxsbGxsbGxIVTY2NjY2NjYECpsbGxsbGxsbAgVNjY2NjY2NjZn+z+m35OBZbWAxAAAAABJRU5ErkJggg==)
(tkui / OpenGL)
Source:
// solid, dotted, dashed and stacked hexagon shapes
style {
bgcolor = #ddd
shape = hexagon
blend = srcover
border_width = 2
border_color = #666
shape_hexagon_ax = 2
shape_hexagon_ay = 4
ipad = 2
stack_off = 3.5,3.5
stack_alpha_dcy = 0.7
s = 35,50
align = left,top
font = small
}
graph {
layout = fixed
shape = rect
ipad = 8,16,8,16
zero_margin = 1
row="abc"
row="def"
a [border_style=solid]
b [border_style=dotted]
c [border_style=dashed]
a->b->c
d [border_style=solid stack=5 stack_alpha_exp=0.9]
e [border_style=dotted stack=5 stack_alpha_exp=1.7]
f [border_style=dashed stack=5 stack_alpha_exp=2.3]
d->e->f
}
4.18 test33.gr
UI widgets (Slider, ComboBox, CheckBox, FloatParam, Scroller, Dial), XFM attributes, size groups, colorization (tint)
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)
(tkui / OpenGL)
Source:
// UI test
style {
bgcolor = #eee
}
style CheckBox {
fillBG = 0
iconSuffix = _dark
bgcolor = #f9f9f9
}
flatten = false
layout = fixed
zero_margin = true
col_padding = 4
row_padding = 0.75
pad = 8
ipad = 4,4,4,4
row="abegj"
row="hc j"
row="fd j"
row=" ii"
a[w=150](Slider min=0 max=100 step=1
bgtint=#0800ff00 fgtint=#400f604f align=top,left pad=0)
b (CheckBox caption="Option A" selected=1)
c (CheckBox caption="Option B" selected=1)
d (CheckBox caption="Option C" selected=1)
e (FloatParam cols=5 min=-10 max=10 step=1 mousePrecision=1 value=5)
f (ComboBox options="One;Two;Three;Four"
bgtint=#18307fbf textPlacement=LEFT)
g[sh=3 align=expandy pad=0,4,0,0](Scroller vertical=1 min=0 max=100 step=1
bgtint=#184888ff fgtint=#280f4f60)
h "First in SGX" [sgx=lb1 align=right,baseline font=smaller]
i "Second in SGX" [sgx=lb1 align=left,baseline font=smaller]
j[s=32](Dial min=0 max=100 reset=50 value=25
fillbg=0 bgtint=#1800eeee fgtint=#ff000000)
5 Downloads
Precompiled binaries for Windows and macOS (x86 + ARM) are included with the
TkScript distribution.
The (platform agnostic) source for the application itself can be downloaded
here.
6 Usage
6.1 OpenGL Preview
View a .gr
file in a HiDPI OpenGL window:
% tks mydiagram.gr
View a .gr
file in a HiDPI OpenGL window and export test_svg.html
:
% tks -t mydiagram.gr
View a .gr
file in a LoDPI OpenGL window and export (a LoDPI) test_svg.html
:
% tks -lodpi -t mydiagram.gr
6.2 Batch processing
Convert all .gr
files in the current directory to .svg
:
% tks app:graph -cli -svg *.gr
Convert all .gr
files in the current directory to .svg
in other directory:
% tks app:graph -cli -svg -o svg/ *.gr
6.2.1 Benchmark
% time tks app:graph -cli -svg -o svg/ *.gr
2.33s user 0.05s system 96% cpu 2.455 total
% ls -1 *.gr|wc -l
76
⇒ Batch-converting 76
graphs (mixed complexity) to .svg
files takes 2455ms
, i.e. ~32.3ms
per graph on average (m2pro Macbook).
6.3 Command Line Reference
Parameter | Description |
-cli
-headless |
Enable headless command line interface mode |
-i
-I |
Add .gi include search path |
-o <path> | Set output path for .svg and .html files (default=<cwd>) |
-t | Enable test mode (write test_svg.html ) |
-svg | Export to .svg (mygraph.gr => mygraph.svg ) |
-html | Export to .html (mygraph.gr => mygraph.html ) |
-s <factor> | Set graphics scaling factor (1.0 .. 4.0) |
-lodpi | Select LoDPI mode (default is HiDPI) |
-q | Quiet (no) output |
Command Line Reference
Parameter | Description |
-d <level> | Set debug level |
-pro | Enable profiling |
-pro2 | Enable GraphForm profiling |
-spc | Debug-print empty cells as '` ' instead of ' .`' |
-nomsaa | Turn off multisampling in OpenGL preview mode |
-wb | OpenGL preview: Set surrounding background color to white |
-v | Verbose output |
Command Line Reference (debug)
7 Node declarations
a -> b
Declares two nodes
a
and
b
, and a directed edge between them.
Output:
![alt](data:image/svg+xml;base64,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)
col_padding = 48
a "Node A"
b "Node B"
a -> b "a->b"
Declares two nodes
a
and
b
, a directed edge between them, and a label halfway along the edge.
Output:
![alt](data:image/svg+xml;base64,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)
7.1 Node Ports
e [s=128] ports {
margin = 25%,80%,75%,40%
t1:t t2:t t3:t
l1:l l2:l
b1:b b2:b b3:b
r1:r r2:r
}
excerpt from test39.gr
8 Style classes
8.1 Declaration
Declare default style: style { <attrib_name> = <attrib_value> [;] }
(attrib name / value pairs repeat, ;
token is optional)
Declare named style: style mystyle { <attrib_name> = <attrib_value> [;] }
8.2 Inheritance
style base {
bgcolor = #eee
fgcolor = #000
shape = round
border_width = 1.5
ipad = 2,5,2,5
}
style red {
base // inherit attributes from style 'base'
tint = #40f00000
}
style green {
base // inherit attributes from style 'base'
tint = #4000f000
}
style cyan {
base // inherit attributes from style 'base'
tint = #2000f0f0
}
a [class=red]
b [class=green]
a -> b [class=cyan]
inheritance example (test40.gr)
Output:
![alt](data:image/svg+xml;base64,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)
9 Palettes
9.1 Declaration
palette mypalette {
red = #f00
green = #0f0
blue = #00f
lightgray = #eeeeee
}
example palette
9.2 Select
Within graph
context: palette = mypalette
selects current default palette.
In node or edge attribute list: mynode [bgcolor=mypalette.red]
assigns palette entry. mynode [bgcolor=red]
assigns entry from default palette.
10 Gradients
10.1 Declaration
gradient darklight {
#ffffffff
0.5 = #80ffffff
0.6 = #10ffffff
0.7 = #00000000
0.75 = #10333333
0.85 = #08000000
#40000000
}
excerpt from test32f.gr
10.2 Select
a "node A" [bg_gradient=darklight bg_gradient_shape=v]
excerpt from test32f.gr
11 Attribute Reference
11.1 Type Names
Type | Description |
amt | amount. 0..1, 0%..100%, or a fraction (e.g. 2/3 ) |
bool | boolean value. true , false , 0 , 1 , on , off |
byte | 8bit (unsigned) integer, e.g. 255 |
c24 | #rgb or #rrggbb color or palette color name (mypalette.mycolor or mycolor in current default palette) |
c32 | #aarrggbb color or palette color name (mypalette.mycolor or mycolor in current default palette) |
csv | comma-separated value list, e.g. 1,2,3,4 . alternatively: a semicolon-separate list (must be embedded in " quotes) (e.g. "1;2;3;4" ) (last value will be replicated as required) |
float | float value, e.g. 3.14 , or a fraction (e.g. 1/3 ) |
id | identifier, e.g. the name of a style class or a gradient |
int | integer value, e.g. 42 |
str | parameter string, e.g. ccw |
text | text string, e.g. a node caption. should be embedded in " quotes (and must if it contains token characters or whitespace) |
Type names
11.2 Common Graph / Node / Edge Attributes
Type | Attribute Name | Default Value | Description |
c32 | tint | #00000000 | foreground and background color tint. alpha channel determines amount. e.g. #40000000 fades to black by 25% |
Common Graph / Node / Edge attributes
11.3 Graph Attributes
Type | Attribute Name | Default Value | Description |
int | col_spacing | 5 | initial horizontal cell spacing |
int | row_spacing | 5 | initial vertical cell spacing |
int | cell_spacing | 5 | sets both col and row spacing |
bool | rotate | false | true=rotate graph (swap x / y) |
bool | flip_x | false | true=flip graph horizontally |
bool | flip_y | false | true=flip graph horizontally |
bool | flipxopt | false | true=try to optimize space by flipping subgraphs horizontally |
bool | flipyopt | false | true=try to optimize space by flipping subgraphs vertically |
bool | cell_slant | false | true=set cell shift x to cell y |
bool | slant | false | true=set layer shift x to <cell_y> * slant_factor |
int | slant_factor | 16.0 | pixel shift multiplier |
int | col_padding | 16 | horizontal column padding (in pixel layout pass) |
int | row_padding | 12 | vertical row padding (in pixel layout pass) |
bool | zero_margin | true | auto-zero padding at graph borders |
bool | flatten | true | (main graph) true=flatten layer hierarchy (but break event propagation) false=keep nested layers and don't add labels |
id | class | <first> | set currently active default style class. class=default selects style default or first available style. |
id | spacer_class | <none> | set currently active default style class for # helper nodes in fixed layouts |
id | label_class | <none> | set currently active default style class for edge labels |
id | palette | <first> | set currently active default palette. palette=default selects palette default or first available palette. |
Graph attributes
11.4 Common Graph / Edge Attributes
Type | Attribute Name | Default Value | Description |
bool | xmajor | <auto> | force xmajor layouting (prefer left / right side connection instead of top / bottom) [def=auto (xmajor =(w > h)] |
bool | xmajor_tail | <maybe> | force xmajor layouting for tail connection (prefer left / right side instead of top / bottom) [def=maybe(revert to xmajor )] |
bool | xmajor_head | <maybe> | force xmajor layouting for head connection (prefer left / right side instead of top / bottom) [def=maybe(revert to xmajor )] |
Common Graph / Edge attributes
11.5 Common Graph / Node Attributes
Type | Attribute Name | Inherit from graph | Default Value | Description |
c24 | bgcolor | | #f9f9f9 | palette color name or #rgb or #rrggbb |
c32 | bgtint | | #00000000 | alpha=tint amount. note: bgcolor must be set for tint to have any effect |
bool | bgfill | NOINHERIT | true | 0=transparent 1=solid |
id | bg_pattern | | <none> | checker_1 | dot_[1..4] | lines_[1..4] | stars_1 | zigzag_[1..4] |
amt | bg_pattern_intensity | | 15% | background pattern intensity (0..100%) |
id | bg_gradient | | | background gradient id |
int | bg_gradient_shape | | v | background gradient shape. h | v | r |
float | pad | NOINHERIT | | margin (scalar=apply to top + left + bottom + right, ; or , separated value list otherwise) auto = auto-zero padding at graph borders |
float | pad_t | NOINHERIT | <row_padding > | top margin |
float | pad_l | NOINHERIT | <col_padding > | left margin |
float | pad_b | NOINHERIT | <row_padding > | bottom margin |
float | pad_r | NOINHERIT | <col_padding > | right margin |
float | pad_v | | | vertical padding. a virtual attribute that sets both pad_t and pad_b |
float | pad_h | | | horizontal padding. virtual attribute that sets both pad_l and pad_r |
float | ipad | NOINHERIT | 1,0,1,1 | inner margin / distance from content to border. scalar=apply to t/l/b/r, ; or , separated value list otherwise |
float | ipad_t | NOINHERIT | 1.0 | top inner margin |
float | ipad_l | NOINHERIT | 0.0 | left inner margin |
float | ipad_b | NOINHERIT | 1.0 | bottom inner margin |
float | ipad_r | NOINHERIT | 1.0 | right inner margin |
float | ipad_v | | 1.0 | vertical inner padding. a virtual attribute that sets both ipad_t and ipad_b |
float | ipad_h | | | horizontal inner padding. a virtual attribute that sets both ipad_l and ipad_r |
csv
| align
|
| baseline
| alignment. top | bottom | left | right | center
note: when set, panel inherits alignment. default alignment for nodes is expandx | baseliney and top | left for sub-graphs
note: baseline combines centery | baseliney (commonly used shortcut) |
int | shape | | <default> | none | rect | round | ellipse | rhomb | diamond |
amt | shape_round_amount | | 12.5% | 0..50% |
float | shape_round_aspect | | 16/10 | horizontal / vertical round corner aspect ratio |
float | shape_round_limit | | 12.0 | maximum round corner width / height (px) |
float | shape_rhomb_tx | | 12.0 | rhomb horizontal shift / slant |
float | shape_rhomb_ty | | 10.0 | rhomb vertical shift / slant |
float | shape_ellipse_rx | | 16.0 | ellipse (additional) radius x |
float | shape_ellipse_ry | | 12.0 | ellipse (additional) radius y |
float | shape_hexagon_ax | | 0.0 | hexagon (additional+inverse) shift x |
float | shape_hexagon_ay | | 0.0 | hexagon (additional+inverse) shift y |
float | shape_tri_ax | | 0.0 | tri (additional+inverse) shift x |
float | shape_tri_ay | | 0.0 | tri (additional+inverse) shift y |
float | shape_slant_x | | - | (todo) <not implemented, yet> |
bool | shape_flip_x | | - | (todo) <not implemented, yet> |
bool | shape_flip_y | | - | (todo) <not implemented, yet> |
int | border_shape | NOINHERIT | rect | rect | round |
int | border_style | NOINHERIT | solid | none | solid |
float | border_width | NOINHERIT | 0.5 | border width |
c24 | border_color | NOINHERIT | #000 | border color. #rgb or #rrggbb color |
c32 | border_tint | | #00000000 | border tint |
int | border_dir | NOINHERIT | all | top | left | bottom | right | all (when shape = rect ) |
str | border_blend | | off | off |
byte | border_alpha | | 255 | border alpha, used when border_blend != off |
id | border_pattern | | <none> | checker_1 | dot_[1..4] | lines_[1..4] |
amt | border_pattern_intensity | | 15% | border pattern intensity (0..100%) |
id | border_gradient | | <none> | gradient id |
int | border_gradient_shape | | v | h | v | r |
id | sgx | NOINHERIT | <none> | SizeGroupX assignment. note: size groups are automatically created as required |
id | sgy | NOINHERIT | <none> | SizeGroupY assignment |
id | sgxy | NOINHERIT | <none> | SizeGroupXY assignment |
int | stack | NOINHERIT | 0 | Stack size (<=1: no stacking) |
csv | stack_off | NOINHERIT | 3,3 | Stack element pixel offsets |
amt | stack_alpha_dcy | | 100% | Stack alpha decay (0%=invisible .. 100%=keep alpha) |
float | stack_alpha_exp | | 1.4 | Stack alpha 'gamma' correction factor (-f..+f) |
Common Graph / Node attributes
11.6 Common Node / Edge Attributes
Type | Attribute Name | Default Value | Description |
id | class | <current> | inherit attributes from given style class |
c24 | bgcolor | #f9f9f9 | background color. palette color name or #rgb or #rrggbb |
c24 | fgcolor | #000 | foreground color. palette color name or #rgb or #rrggbb |
c32 | fgtint | #00000000 | foreground color tint. |
str | blend | off | a virtual attribute that sets both bg_blend and border_blend |
bool | helper | false | helper flag, for manually adding edge helper nodes |
text | tooltip | <none> | tooltip caption |
text | label | <node id> | label. alternative caption declaration |
Common Node / Edge attributes
11.7 Node Attributes
Type | Attribute Name | Default Value | Description |
c24 | bgcolor | #f9f9f9 | background color. palette color name or #rgb or #rrggbb |
c24 | node_fgcolor | #000 | palette color name or #rgb or #rrggbb |
c32 | node_fgtint | #00000000 | node foreground tint |
int | text_pos | center | top | left | bottom | right | center | centerx | centery | baseliney |
str | rotate | 0 | rotate content (text + icon). cw | 90 | true | 1 | \ccw | -90 | -1 |
file | icon | <none> | icon id. (todo) lazy-add local icon font resource |
int | icon_pos | left,centery | top | left | bottom | right | center | centerx | centery |
float | icon_pad | 1,1,1,2 | icon padding. scalar=apply to top + left + bottom + right, ; or , separated value list otherwise |
float | icon_pad_t | 1 | top icon padding |
float | icon_pad_l | 1 | left icon padding |
float | icon_pad_b | 1 | bottom icon padding |
float | icon_pad_r | 2 | right icon padding |
amt | float | w | <auto> |
amt | float | h | <auto> |
amt | float | s | <auto> |
int | sw | <auto> | cell span width (when pixel_layout=grid ) |
int | sh | <auto> | cell span height (when pixel_layout=grid ) |
amt | headpoint_amount | 12.5% | percentage of width / height used for distributing (multiple) edge connections to head node |
float | headpoint_mindist | 8 | minimum pixel distance between edge connections to head node |
Node attributes
11.8 Node Ports Attributes
Type | Attribute Name | Default Value | Description |
csv | margin | 0%,0%,0%,0% | percentage of top / left / bottom / right edges that is not used for ports (0..100% per list value) |
Ports attributes
11.9 Edge Attributes
Type | Attribute Name | Default Value | Description |
c24 | edge_fgcolor | #000 | palette color name or #rgb or #rrggbb |
c32 | edge_fgtint | #00000000 | edge foreground tint |
int | edge_shape | | edge shape. none | line | curve | rcurve (rcurve =right-angled curve) |
amt | edge_bend/bend | 50% | edge bendiness (curve shapes). 0..1 or 0%..100% |
float | edge_width | 0.5 / 1.5(bold) | edge width |
float | edge_width_start | <edge_width> | edge start width |
float | edge_width_end | <edge_width> | edge end width |
float | edge_width_exp | 1.0 | variable line width bias towards head or tail (-f..+f) (when start != end) |
float | edge_width_left | 0 | edge left outline width |
float | edge_width_right | 0 | edge right outline width |
bool | edge_width_adaptive | true | true=use edge_width as reference width and scale left / right edge outline widths |
int | edge_fgcolor_left | <edge_fgcolor> | edge left outline foreground color |
int | edge_fgtint_left | <edge_fgtint> | edge left outline foreground tint |
int | edge_fgcolor_right | <edge_fgcolor> | edge right outline foreground color |
int | edge_fgtint_right | | edge right outline foreground tint |
byte | edge_alpha | 255 | (todo) edge alpha (0..255) |
str | edge_blend | off | (todo) off | srcover | additive | srccolor | dstcolor |
float | tail_snap_x | 8.0 | snap tail position to edge x within this threshold (px) |
float | tail_snap_y | 5.0 | snap tail position to edge y within this threshold (px) |
id | label_class | <default> | label style class |
amt | label_relpos | 50% | relative label position along edge (0%=tail .. 100%=head) |
c24 | label_fgcolor | #000 | label foreground color |
c32 | label_fgtint | #00000000 | label foreground tint |
int | label_style | default | label style. none | default |
c24 | arrow_fgcolor | #000 | head arrow foreground color palette color name or #rgb or #rrggbb |
c24 | arrow_fgcolor_rev | <arrow_fgcolor> | tail arrow foreground color |
c32 | arrow_fgtint | #00000000 | head arrow foreground tint |
c32 | arrow_fgtint_rev | #00000000 | tail arrow foreground tint |
int | arrow_style | solid | head arrow style. solid | line |
int | arrow_style_rev | solid | tail arrow style. solid | line |
int | arrow_shape | <auto> | head arrow shape. none | tri |
int | arrow_shape_rev | <auto> | (todo) tail arrow shape. none | tri |
float | arrow_linewidth | 1.0 | head arrow line width |
float | arrow_linewidth_rev | <arrow_linewidth> | tail arrow line width (when arrow_style=line ) |
float | arrow_angle | 35.0 | head arrow side angle (degrees) |
float | arrow_angle_rev | <arrow_angle_rev> | tail arrow side angle (degrees) |
float | arrow_len | 6.0 | head arrow length (px) |
float | arrow_len_rev | <arrow_len> | tail arrow length (px) |
amt | arrow_ilen | 0% | head arrow backside indent amount (0..100%) |
amt | arrow_ilen_rev | <arrow_ilen> | tail arrow backside indent amount (0..100%) |
amt | arrow_snap | 0% | head arrow edge angle snap amount (0..100%) |
amt | arrow_snap_rev | <arrow_snap> | tail arrow edge angle snap amount (0..100%) |
c24 | arrow_border_color | #000 | head arrow border color. palette color name or #rgb or #rrggbb |
c24 | arrow_border_color_rev | <arrow_border_color> | tail arrow border color. palette color name or #rgb or #rrggbb |
float | arrow_border_width | 0.0 | head arrow border width |
float | arrow_border_width_rev | <arrow_border_width> | tail arrow border width |
Edge attributes
Document created on 12-May-2024 15:56:22