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Simple graph sampling.
Browse files- server/lynxkite_ops.py +19 -4
- server/networkx_ops.py +1 -1
- server/ops.py +6 -0
server/lynxkite_ops.py
CHANGED
@@ -1,5 +1,6 @@
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'''Some operations. To be split into separate files when we have more.'''
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from . import ops
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import dataclasses
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import functools
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import matplotlib
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@@ -145,12 +146,26 @@ def create_scale_free_graph(*, nodes: int = 10):
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def compute_pagerank(graph: nx.Graph, *, damping=0.85, iterations=100):
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return nx.pagerank(graph, alpha=damping, max_iter=iterations)
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@op("Sample graph")
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def sample_graph(graph: nx.Graph, *, nodes: int = 100):
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'''Takes a subgraph.'''
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def _map_color(value):
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cmap = matplotlib.cm.get_cmap('viridis')
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@@ -159,7 +174,7 @@ def _map_color(value):
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return ['#{:02x}{:02x}{:02x}'.format(int(r*255), int(g*255), int(b*255)) for r, g, b in rgba[:, :3]]
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@op("Visualize graph", view="visualization")
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def visualize_graph(graph: Bundle, *, color_nodes_by:
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nodes = graph.dfs['nodes'].copy()
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if color_nodes_by:
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nodes['color'] = _map_color(nodes[color_nodes_by])
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'''Some operations. To be split into separate files when we have more.'''
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from . import ops
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from collections import deque
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import dataclasses
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import functools
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import matplotlib
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def compute_pagerank(graph: nx.Graph, *, damping=0.85, iterations=100):
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return nx.pagerank(graph, alpha=damping, max_iter=iterations)
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@op("Discard loop edges")
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def discard_loop_edges(graph: nx.Graph):
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graph = graph.copy()
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graph.remove_edges_from(nx.selfloop_edges(graph))
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return graph
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@op("Sample graph")
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def sample_graph(graph: nx.Graph, *, nodes: int = 100):
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'''Takes a (preferably connected) subgraph.'''
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sample = set()
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to_expand = deque([0])
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while to_expand and len(sample) < nodes:
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node = to_expand.pop()
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for n in graph.neighbors(node):
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if n not in sample:
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sample.add(n)
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to_expand.append(n)
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if len(sample) == nodes:
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break
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return nx.Graph(graph.subgraph(sample))
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def _map_color(value):
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cmap = matplotlib.cm.get_cmap('viridis')
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return ['#{:02x}{:02x}{:02x}'.format(int(r*255), int(g*255), int(b*255)) for r, g, b in rgba[:, :3]]
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@op("Visualize graph", view="visualization")
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def visualize_graph(graph: Bundle, *, color_nodes_by: ops.NodeAttribute = None):
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nodes = graph.dfs['nodes'].copy()
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if color_nodes_by:
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nodes['color'] = _map_color(nodes[color_nodes_by])
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server/networkx_ops.py
CHANGED
@@ -16,7 +16,7 @@ def wrapped(name: str, func):
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return res
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# Otherwise it's a node attribute.
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graph = args[0].copy()
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nx.set_node_attributes(graph,
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return graph
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return wrapper
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return res
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# Otherwise it's a node attribute.
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graph = args[0].copy()
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nx.set_node_attributes(graph, values=res, name=name)
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return graph
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return wrapper
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server/ops.py
CHANGED
@@ -29,6 +29,12 @@ PathStr = Annotated[
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CollapsedStr = Annotated[
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str, {'format': 'collapsed'}
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]
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class BaseConfig(pydantic.BaseModel):
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model_config = pydantic.ConfigDict(
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arbitrary_types_allowed=True,
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CollapsedStr = Annotated[
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str, {'format': 'collapsed'}
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]
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NodeAttribute = Annotated[
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str, {'format': 'node attribute'}
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]
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EdgeAttribute = Annotated[
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str, {'format': 'edge attribute'}
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]
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class BaseConfig(pydantic.BaseModel):
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model_config = pydantic.ConfigDict(
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arbitrary_types_allowed=True,
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