From 857f56f4161d75c1d0ec8ebd121fe6deebd44c99 Mon Sep 17 00:00:00 2001
From: Pietro <74447932+pietroepis@users.noreply.github.com>
Date: Mon, 12 Jul 2021 09:29:21 +0200
Subject: [PATCH] Delete example.py

---
 example.py | 41 -----------------------------------------
 1 file changed, 41 deletions(-)
 delete mode 100644 example.py

diff --git a/example.py b/example.py
deleted file mode 100644
index 8b00fee..0000000
--- a/example.py
+++ /dev/null
@@ -1,41 +0,0 @@
-from PyCTBN.PyCTBN.structure_graph.trajectory_generator import TrajectoryGenerator
-from PyCTBN.PyCTBN.structure_graph.network_generator import NetworkGenerator
-from PyCTBN.PyCTBN.utility.json_importer import JsonImporter
-from PyCTBN.PyCTBN.utility.json_exporter import JsonExporter
-from PyCTBN.PyCTBN.structure_graph.structure import Structure
-from PyCTBN.PyCTBN.structure_graph.sample_path import SamplePath
-from PyCTBN.PyCTBN.estimators.structure_constraint_based_estimator import StructureConstraintBasedEstimator
-
-def main():
-    # Network Generation
-    labels = ["X", "Y", "Z"]
-    card = 3
-    vals = [card for l in labels]
-    cim_min = 1
-    cim_max = 3
-    ng = NetworkGenerator(labels, vals)
-    ng.generate_graph(0.3)
-    ng.generate_cims(cim_min, cim_max)
-
-    # Trajectory Generation
-    e1 = JsonExporter(ng.variables, ng.dyn_str, ng.cims)
-    tg = TrajectoryGenerator(variables = ng.variables, dyn_str = ng.dyn_str, dyn_cims = ng.cims)
-    sigma = tg.CTBN_Sample(max_tr = 30000)
-    e1.add_trajectory(sigma)
-    e1.out_file("example.json")
-
-    # Network Estimation (Constraint Based)
-    importer = JsonImporter(file_path = "example.json", samples_label = "samples",
-                            structure_label = "dyn.str", variables_label = "variables",
-                            cims_label = "dyn.cims", time_key = "Time", 
-                            variables_key = "Name")
-    importer.import_data(0)
-    s1 = SamplePath(importer=importer)
-    s1.build_trajectories()
-    s1.build_structure()
-    se1 = StructureConstraintBasedEstimator(sample_path=s1, exp_test_alfa=0.1, chi_test_alfa=0.1,
-                                            known_edges=[], thumb_threshold=25)
-    edges = se1.estimate_structure(True)
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file