workbench.desktop.main.js · part 104
Full reference60 text occurrences from desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, part 104. Every entry preserves the shipped literal and its saved verdict or selection reason.
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Shipped text
Fixed Graph Size
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9920519–9920537, SHA-256 7fa1a4e884556473.
Jev judged not model-facing (confidence 0.07; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Fixed Graph Size
Fixed Graph Size
By default, the fixed layout provider will enlarge a graph until it is large eno
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9920539–9920688, SHA-256 a8d288f3297a7d2b.
Jev judged not model-facing (confidence 0.14; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so.
By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so.
Edge Label Placement
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9920765–9920787, SHA-256 65d4aaee3d514447.
Jev judged not model-facing (confidence 0.07; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Edge Label Placement
Edge Label Placement
Gives a hint on where to put edge labels.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9920789–9920832, SHA-256 8cbdbad25b77e9f5.
Jev judged not model-facing (confidence 0.13; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: Gives a hint on where to put edge labels.
Gives a hint on where to put edge labels.
Inline Edge Labels
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9920911–9920931, SHA-256 853a618d86a902b2.
Jev judged not model-facing (confidence 0.06; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Inline Edge Labels
Inline Edge Labels
If true, an edge label is placed directly on its edge. May only apply to center
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9920933–9921166, SHA-256 87663f89f75679e1.
Jev judged not model-facing (confidence 0.16; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible.
If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible.
Font Name
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921243–9921254, SHA-256 e1892dcb55556181.
Jev judged not model-facing (confidence 0.06; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Font Name
Font Name
Font name used for a label.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921256–9921285, SHA-256 1cbaf973fd6876ca.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Font name used for a label.
Font name used for a label.
Font Size
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921359–9921370, SHA-256 ce456cd73ed462b0.
Jev judged not model-facing (confidence 0.03; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Font Size
Font Size
Font size used for a label.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921372–9921401, SHA-256 31fd90492820f767.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Font size used for a label.
Font size used for a label.
Port Anchor Offset
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921471–9921491, SHA-256 67766abc65856ffa.
Jev judged not model-facing (confidence 0.06; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Port Anchor Offset
Port Anchor Offset
The offset to the port position where connections shall be attached.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921493–9921563, SHA-256 d867dd000287de8e.
Jev judged not model-facing (confidence 0.22; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: The offset to the port position where connections shall be attached.
The offset to the port position where connections shall be attached.
Port Index
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921633–9921645, SHA-256 3171dbbf73451b93.
Jev judged not model-facing (confidence 0.11; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Port Index
Port Index
The index of a port in the fixed order around a node. The order is assumed as cl
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9921647–9921972, SHA-256 1512012d8e8a957f.
Jev judged not model-facing (confidence 0.22; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are give…
The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case.
Port Side
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9922045–9922056, SHA-256 73783a43f34ec7a6.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Port Side
Port Side
The side of a node on which a port is situated. This option must be set if 'Port
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9922058–9922240, SHA-256 9c689543e4335faa.
Jev judged not model-facing (confidence 0.19; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports.
The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports.
Port Border Offset
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9922315–9922335, SHA-256 b80894b87b2ec83b.
Jev judged not model-facing (confidence 0.1; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Port Border Offset
Port Border Offset
The offset of ports on the node border. With a positive offset the port is moved
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9922337–9922918, SHA-256 9381c0b991039497.
Jev judged not model-facing (confidence 0.22; role parameter). This is a classifier judgment, not proof of delivery.
Readable form: a shipped code or data literal beginning “The offset of ports on the node border. With a positive offset the port is moved”. The exact literal is preserved below; its runtime purpose requires the surrounding source.
The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border.
Port Label Placement
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9922991–9923013, SHA-256 b97e319317998bfd.
Jev judged not model-facing (confidence 0.09; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Port Label Placement
Port Label Placement
Decides on a placement method for port labels; if empty, the node label's positi
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923015–9923116, SHA-256 80e15d06b9094c38.
Jev judged not model-facing (confidence 0.13; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Decides on a placement method for port labels; if empty, the node label's position is not modified.
Decides on a placement method for port labels; if empty, the node label's position is not modified.
Port Labels Next to Port
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923196–9923222, SHA-256 75e2774f2cd65b38.
Jev judged not model-facing (confidence 0.06; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Port Labels Next to Port
Port Labels Next to Port
Use 'portLabels.placement': NEXT TO PORT OF POSSIBLE.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923224–9923279, SHA-256 8fe82a8c50916562.
Jev judged not model-facing (confidence 0.14; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE.
Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE.
Treat Port Labels as Group
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923356–9923384, SHA-256 437b5032bbcd9d3c.
Jev judged not model-facing (confidence 0.07; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Treat Port Labels as Group
Treat Port Labels as Group
If this option is true (default), the labels of a port will be treated as a grou
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923386–9923764, SHA-256 a30f70ac3474d4d6.
Jev judged not model-facing (confidence 0.07; role human). This is a classifier judgment, not proof of delivery.
Readable text: If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being pla…
If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port.
Number of size categories
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923841–9923868, SHA-256 890b9f9d64a0ba7f.
Jev judged not model-facing (confidence 0.09; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Number of size categories
Number of size categories
Defines the number of categories to use for the FIXED INTEGER RATIO BOXES size a
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9923870–9923964, SHA-256 adabbc07178fdc2f.
Jev judged not model-facing (confidence 0.14; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Defines the number of categories to use for the FIXED_INTEGER_RATIO_BOXES size approximator.
Defines the number of categories to use for the FIXED_INTEGER_RATIO_BOXES size approximator.
Weight of a node containing children for determining the graph size
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9924062–9924131, SHA-256 b86d2a01dc9ef652.
Jev judged not model-facing (confidence 0.1; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Weight of a node containing children for determining the graph size
Weight of a node containing children for determining the graph size
When determining the graph size for the size categorisation, this value determin
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9924133–9924448, SHA-256 93642d7205e70655.
Jev judged not model-facing (confidence 0.12; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: When determining the graph size for the size categorisation, this value determines how many times a node containing children is weighted more than a simple node. For example setting this value to four would result in a graph containing a si…
When determining the graph size for the size categorisation, this value determines how many times a node containing children is weighted more than a simple node. For example setting this value to four would result in a graph containing a simple node and a hierarchical node to be counted as having a size of five.
Topdown Scale Factor
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9924547–9924569, SHA-256 147ba15ef6fe90bf.
Jev judged not model-facing (confidence 0.14; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Topdown Scale Factor
Topdown Scale Factor
The scaling factor to be applied to the nodes laid out within the node in recurs
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9924571–9924792, SHA-256 d34a109ec0385bd4.
Jev judged not model-facing (confidence 0.27; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: The scaling factor to be applied to the nodes laid out within the node in recursive topdown layout. The difference to 'Scale Factor' is that the node itself is not scaled. This value has to be set on hierarchical nodes.
The scaling factor to be applied to the nodes laid out within the node in recursive topdown layout. The difference to 'Scale Factor' is that the node itself is not scaled. This value has to be set on hierarchical nodes.
Topdown Size Approximator
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9924886–9924913, SHA-256 9e0c8ef261eb0103.
Jev judged not model-facing (confidence 0.1; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Topdown Size Approximator
Topdown Size Approximator
The size approximator to be used to set sizes of hierarchical nodes during topdo
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9924915–9925166, SHA-256 85e865085e106449.
Jev judged not model-facing (confidence 0.22; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: The size approximator to be used to set sizes of hierarchical nodes during topdown layout. The default value is null, which results in nodes keeping whatever size is defined for them e.g. through parent parallel node or by manually setting …
The size approximator to be used to set sizes of hierarchical nodes during topdown layout. The default value is null, which results in nodes keeping whatever size is defined for them e.g. through parent parallel node or by manually setting the size.
Topdown Hierarchical Node Width
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9925264–9925297, SHA-256 62adaaaf9cf055b4.
Jev judged not model-facing (confidence 0.07; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Topdown Hierarchical Node Width
Topdown Hierarchical Node Width
The fixed size of a hierarchical node when using topdown layout. If this value i
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9925299–9925496, SHA-256 3ab0811b19f2bed0.
Jev judged not model-facing (confidence 0.13; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: The fixed size of a hierarchical node when using topdown layout. If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself.
The fixed size of a hierarchical node when using topdown layout. If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself.
Topdown Hierarchical Node Aspect Ratio
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9925620–9925660, SHA-256 34996fa1bc487350.
Jev judged not model-facing (confidence 0.09; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Topdown Hierarchical Node Aspect Ratio
Topdown Hierarchical Node Aspect Ratio
The fixed aspect ratio of a hierarchical node when using topdown layout. Default
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9925662–9925889, SHA-256 7beb751eb1d76008.
Jev judged not model-facing (confidence 0.11; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: The fixed aspect ratio of a hierarchical node when using topdown layout. Default is 1/sqrt(2). If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself.
The fixed aspect ratio of a hierarchical node when using topdown layout. Default is 1/sqrt(2). If this value is set on a parallel node it applies to its children, when set on a hierarchical node it applies to the node itself.
Topdown Node Type
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9926015–9926034, SHA-256 f38ed8043da8279e.
Jev judged not model-facing (confidence 0.1; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Topdown Node Type
Topdown Node Type
The different node types used for topdown layout. If the node type is set to {@l
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9926036–9926342, SHA-256 2a7b1d98d74cedde.
Jev judged not model-facing (confidence 0.13; role code_data). This is a classifier judgment, not proof of delivery.
Readable form: a shipped code or data literal beginning “The different node types used for topdown layout. If the node type is set to {@l”. The exact literal is preserved below; its runtime purpose requires the surrounding source.
The different node types used for topdown layout. If the node type is set to {@link TopdownNodeTypes.PARALLEL_NODE} the algorithm must be set to a {@link TopdownLayoutProvider} such as {@link TopdownPacking}. The {@link nodeSize.fixedGraphSize} option is technically only required for hierarchical nodes.
Topdown Scale Cap
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9926441–9926460, SHA-256 9d48d3d0bc40d6f7.
Jev judged not model-facing (confidence 0.11; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Topdown Scale Cap
Topdown Scale Cap
Determines the upper limit for the topdown scale factor. The default value is 1.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9926462–9926829, SHA-256 8958cad6d6d3b4d6.
Jev judged not model-facing (confidence 0.12; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: Determines the upper limit for the topdown scale factor. The default value is 1.0 which ensures that nested children never end up appearing larger than their parents in terms of unit sizes such as the font size. If the limit is larger, node…
Determines the upper limit for the topdown scale factor. The default value is 1.0 which ensures that nested children never end up appearing larger than their parents in terms of unit sizes such as the font size. If the limit is larger, nodes will fully utilize the available space, but it is counteriniuitive for inner nodes to have a larger scale than outer nodes.
Activate Inside Self Loops
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9926923–9926951, SHA-256 aef278430d2581e5.
Jev judged not model-facing (confidence 0.13; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Activate Inside Self Loops
Activate Inside Self Loops
Whether this node allows to route self loops inside of it instead of around it.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9926953–9927200, SHA-256 bd6a8111e27dd00b.
Jev judged not model-facing (confidence 0.15; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical p…
Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports.
Inside Self Loop
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927277–9927295, SHA-256 64cf299e068a291b.
Jev judged not model-facing (confidence 0.07; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Inside Self Loop
Inside Self Loop
Whether a self loop should be routed inside a node instead of around that node.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927297–9927378, SHA-256 e9755c647193d0ec.
Jev judged not model-facing (confidence 0.17; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: Whether a self loop should be routed inside a node instead of around that node.
Whether a self loop should be routed inside a node instead of around that node.
Edge Thickness
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927458–9927474, SHA-256 3f7ebe5271712698.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Edge Thickness
Edge Thickness
The thickness of an edge. This is a hint on the line width used to draw an edge,
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927476–9927611, SHA-256 ddc8c05ecf24949d.
Jev judged not model-facing (confidence 0.28; role parameter). This is a classifier judgment, not proof of delivery.
Readable text: The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it.
The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it.
Edge Type
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927690–9927701, SHA-256 91d9b4fdf2a6b56e.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Edge Type
Edge Type
The type of an edge. This is usually used for UML class diagrams, where associat
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927703–9927839, SHA-256 10582a2cdbacff7c.
Jev judged not model-facing (confidence 0.18; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations.
The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations.
The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It e
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9927914–9928321, SHA-256 ed51565e1a6c93cd.
Jev judged not model-facing (confidence 0.11; role context). This is a classifier judgment, not proof of delivery.
Readable text: The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hi…
The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.
Orthogonal methods that follow the "topology-shape-metrics" approach by Batini,
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9928403–9928935, SHA-256 22e47e0239fdc9e3.
Jev judged not model-facing (confidence 0.09; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia '86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representatio…
Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia '86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.
Layout algorithms that follow physical analogies by simulating a system of attra
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9928986–9929167, SHA-256 7f615008a1382ffa.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. The first successful method of this kind was proposed by Eades in 1984.
Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. The first successful method of this kind was proposed by Eades in 1984.
Circular layout algorithms emphasize cycles or biconnected components of a graph
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9929241–9929496, SHA-256 ae001e8ed9cbbc31.
Jev judged not model-facing (confidence 0.12; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Circular layout algorithms emphasize cycles or biconnected components of a graph by arranging them in circles. This is useful if a drawing is desired where such components are clearly grouped, or where cycles are shown as prominent OPTIONS …
Circular layout algorithms emphasize cycles or biconnected components of a graph by arranging them in circles. This is useful if a drawing is desired where such components are clearly grouped, or where cycles are shown as prominent OPTIONS of the graph.
Specialized layout methods for trees, i.e. acyclic graphs. The regular structure
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9929547–9929721, SHA-256 722b3357841f82f6.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Specialized layout methods for trees, i.e. acyclic graphs. The regular structure of graphs that have no undirected cycles can be emphasized using an algorithm of this type.
Specialized layout methods for trees, i.e. acyclic graphs. The regular structure of graphs that have no undirected cycles can be emphasized using an algorithm of this type.
Algorithms that require a planar or upward planar graph. Most of these algorithm
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9929795–9929937, SHA-256 13070db3a54050d2.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Algorithms that require a planar or upward planar graph. Most of these algorithms are theoretically interesting, but not practically usable.
Algorithms that require a planar or upward planar graph. Most of these algorithms are theoretically interesting, but not practically usable.
Radial layout algorithms usually position the nodes of the graph on concentric c
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9929989–9930078, SHA-256 7d25810b7853774d.
Jev judged not model-facing (confidence 0.08; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Radial layout algorithms usually position the nodes of the graph on concentric circles.
Radial layout algorithms usually position the nodes of the graph on concentric circles.
Fixed Layout
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9939083–9939097, SHA-256 dac7c055ca137ccf.
Jev judged not model-facing (confidence 0.04; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Fixed Layout
Fixed Layout
Invalid option id:
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9940804–9940825, SHA-256 c093a696d12c02c3.
Jev judged not model-facing (confidence 0.03; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Invalid option id:
Invalid option id:
Invalid option value:
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9940876–9940900, SHA-256 f3384a67d948ddf4.
Jev judged not model-facing (confidence 0.03; role human). This is a classifier judgment, not proof of delivery.
Readable text: Invalid option value:
Invalid option value:
Random Layout
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9943065–9943080, SHA-256 e7e59f495adb1a69.
Jev judged not model-facing (confidence 0.04; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: Random Layout
Random Layout
There is no valid object to remove.
Source: desktop/Cursor.app/Contents/Resources/app/out/vs/workbench/workbench.desktop.main.js, bytes 9981172–9981209, SHA-256 f6a4b3f30ecc7246.
Jev judged not model-facing (confidence 0.04; role code_data). This is a classifier judgment, not proof of delivery.
Readable text: There is no valid object to remove.
There is no valid object to remove.