add script to package

bin/treed

@@ -0,0 +1,40 @@
+#!/usr/bin/env python
+
+from treed import TreeD
+import argparse
+
+desc = """Draw a visual representation of the branch-and-cut tree of SCIP for
+    a particular instance using spatial dissimilarities of the node LP solutions.
+    """
+
+parser = argparse.ArgumentParser(description=desc)
+
+parser.add_argument("model", type=str, help="path to model")
+parser.add_argument(
+    "--transformation",
+    "-t",
+    type=str,
+    default="mds",
+    help="2D transformation algorithm for node LP solutions ('mds' or 'tsne')",
+)
+parser.add_argument(
+    "--hidecuts",
+    action="store_true",
+    help="hide cutting rounds and only show final node LP solutions",
+)
+
+parser.add_argument(
+    "--nodelimit", type=int, default=500, help="node limit for solving the model"
+)
+
+args = parser.parse_args()
+
+treed = TreeD(
+    probpath=args.model,
+    transformation=args.transformation,
+    showcuts=~args.hidecuts,
+    nodelimit=args.nodelimit,
+)
+
+treed.main()
+treed.draw()

setup.py

@@ -5,7 +5,7 @@
 
 setup(
     name="treed",
-    version="0.0.1",
+    version="0.0.2",
     author="Matthias Miltenberger",
     author_email="matthias.miltenberger@gmail.com",
     description="3D Visualization of Branch-and-Cut Trees using PySCIPOpt",
@@ -21,4 +21,5 @@
     ],
     install_requires=["pyscipopt", "scikit-learn", "pandas", "plotly", "networkx"],
     python_requires=">=3.6",
+    scripts=['bin/treed'],
 )

src/treed/treed.py

@@ -93,11 +93,11 @@ class TreeD:
      - pandas to organize the collected data
     """
 
-    def __init__(self, probpath=""):
-        self.probpath = probpath
-        self.scip_settings = [("limits/totalnodes", 500)]
-        self.transformation = "mds"
-        self.showcuts = True
+    def __init__(self, **kwargs):
+        self.probpath = kwargs.get("probpath", "")
+        self.scip_settings = [("limits/totalnodes", kwargs.get("nodelimit", 500))]
+        self.transformation = kwargs.get("transformation", "mds")
+        self.showcuts = kwargs.get("showcuts", True)
         self.color = "age"
         self.colorscale = "Portland"
         self.colorbar = False
@@ -440,14 +440,3 @@ def distance(p1, p2):
         dist += (p1.get(k, 0) - p2.get(k, 0)) ** 2
     return math.sqrt(dist)
 
-
-if __name__ == "__main__":
-
-    treed = TreeD()
-    if len(sys.argv) == 1:
-        print(treed.__doc__)
-        print("usage: {} <MIP-instance>".format(sys.argv[0]))
-    else:
-        treed.probpath = sys.argv[1]
-        treed.main()
-        treed.draw()