darabos commited on
Commit
b133985
·
1 Parent(s): 121b6ff

Update NetworkX demo to be error-free. Sort keys in workspaces. Autoformat some files.

Browse files
examples/AIMO CHANGED
@@ -1036,4 +1036,4 @@
1036
  "targetHandle": "input"
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  }
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  ]
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- }
 
1036
  "targetHandle": "input"
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  }
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  ]
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+ }
examples/Graph RAG CHANGED
@@ -872,4 +872,4 @@
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  "targetHandle": "edges"
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  }
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  ]
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- }
 
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  "targetHandle": "edges"
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  }
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  ]
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+ }
examples/Image processing CHANGED
@@ -281,4 +281,4 @@
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  "targetHandle": "image"
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  }
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  ]
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- }
 
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  "targetHandle": "image"
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  }
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  ]
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+ }
examples/LynxScribe demo CHANGED
@@ -966,4 +966,4 @@
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  "targetHandle": "chat_api"
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  }
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  ]
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- }
 
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  "targetHandle": "chat_api"
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  }
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  ]
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+ }
examples/NetworkX demo CHANGED
The diff for this file is too large to render. See raw diff
 
examples/PyTorch demo CHANGED
@@ -620,4 +620,4 @@
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  "targetHandle": "x"
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  }
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  ]
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- }
 
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  "targetHandle": "x"
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  }
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  ]
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+ }
examples/RAG chatbot app CHANGED
@@ -605,4 +605,4 @@
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  "targetHandle": "rag_graph"
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  }
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  ]
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- }
 
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  "targetHandle": "rag_graph"
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  }
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  ]
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+ }
lynxkite-app/web/src/workspace/nodes/NodeWithTableView.tsx CHANGED
@@ -19,7 +19,7 @@ export default function NodeWithTableView(props: any) {
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  const display = props.data.display?.value;
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  const single =
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  display?.dataframes && Object.keys(display?.dataframes).length === 1;
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- const dfs = Object.entries(display.dataframes || {});
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  dfs.sort();
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  return (
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  <LynxKiteNode {...props}>
 
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  const display = props.data.display?.value;
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  const single =
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  display?.dataframes && Object.keys(display?.dataframes).length === 1;
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+ const dfs = Object.entries(display?.dataframes || {});
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  dfs.sort();
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  return (
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  <LynxKiteNode {...props}>
lynxkite-core/pyproject.toml CHANGED
@@ -10,4 +10,4 @@ dependencies = [
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  [project.optional-dependencies]
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  dev = [
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  "pytest",
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- ]
 
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  [project.optional-dependencies]
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  dev = [
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  "pytest",
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+ ]
lynxkite-core/src/lynxkite/core/workspace.py CHANGED
@@ -1,5 +1,6 @@
1
  """For working with LynxKite workspaces."""
2
 
 
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  from typing import Optional
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  import dataclasses
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  import os
@@ -65,7 +66,8 @@ async def execute(ws: Workspace):
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  def save(ws: Workspace, path: str):
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  """Persist a workspace to a local file in JSON format."""
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- j = ws.model_dump_json(indent=2) + "\n"
 
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  dirname, basename = os.path.split(path)
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  os.makedirs(dirname, exist_ok=True)
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  # Create temp file in the same directory to make sure it's on the same filesystem.
 
1
  """For working with LynxKite workspaces."""
2
 
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+ import json
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  from typing import Optional
5
  import dataclasses
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  import os
 
66
 
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  def save(ws: Workspace, path: str):
68
  """Persist a workspace to a local file in JSON format."""
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+ j = ws.model_dump()
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+ j = json.dumps(j, indent=2, sort_keys=True) + "\n"
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  dirname, basename = os.path.split(path)
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  os.makedirs(dirname, exist_ok=True)
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  # Create temp file in the same directory to make sure it's on the same filesystem.
lynxkite-core/tests/test_ops.py CHANGED
@@ -76,7 +76,9 @@ def test_op_decorator_with_complex_types():
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  assert complex_op.__op__.inputs == {
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  "color": ops.Input(name="color", type=Color, position="left"),
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  "color_list": ops.Input(name="color_list", type=list[Color], position="left"),
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- "color_dict": ops.Input(name="color_dict", type=dict[str, Color], position="left"),
 
 
80
  }
81
  assert complex_op.__op__.type == "basic"
82
  assert complex_op.__op__.outputs == {
 
76
  assert complex_op.__op__.inputs == {
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  "color": ops.Input(name="color", type=Color, position="left"),
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  "color_list": ops.Input(name="color_list", type=list[Color], position="left"),
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+ "color_dict": ops.Input(
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+ name="color_dict", type=dict[str, Color], position="left"
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+ ),
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  }
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  assert complex_op.__op__.type == "basic"
84
  assert complex_op.__op__.outputs == {
lynxkite-graph-analytics/src/lynxkite_graph_analytics/pytorch_model_ops.py CHANGED
@@ -72,4 +72,4 @@ ops.register_passive_op(
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  inputs=[ops.Input(name="input", position="top", type="tensor")],
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  outputs=[ops.Output(name="output", position="bottom", type="tensor")],
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  params=[ops.Parameter.basic("times", 1, int)],
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- )
 
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  inputs=[ops.Input(name="input", position="top", type="tensor")],
73
  outputs=[ops.Output(name="output", position="bottom", type="tensor")],
74
  params=[ops.Parameter.basic("times", 1, int)],
75
+ )