preparing for repeatability

setup.py

@@ -12,23 +12,23 @@ setup(
     packages=find_packages(exclude=["tests", "demo"]),
     python_requires='>=3.8',
     install_requires=[
-        "numpy~=1.22.1",
-        "scipy~=1.8.1",
-        "matplotlib~=3.4.2",
-        "polytope~=0.2.3",
-        "pyvista~=0.32.1",
-        "networkx~=2.2",
-        "sympy~=1.6.2",
-        "six~=1.14.0",
-        "astunparse~=1.6.3",
-        "treelib~=1.6.1",
-        "z3-solver~=4.8.17.0",
-        "igraph~=0.9.10",
-        "plotly~=5.8.0",
-        "beautifulsoup4~=4.11.1",
-        "lxml~=4.9.1",
+        "numpy",
+        "scipy",
+        "matplotlib",
+        "polytope",
+        "pyvista",
+        "networkx",
+        "sympy",
+        "six",
+        "astunparse",
+        "treelib",
+        "z3-solver",
+        "plotly",
+        "beautifulsoup4",
+        "lxml",
         "torch",
-        "tqdm"
+        "tqdm",
+        "intervaltree",
     ],
     classifiers=[
         'Development Status :: 2 - Pre-Alpha',

verse/map/opendrive_parser.py

 #Import all the lane objects we are going to use for lane object identification################
-from turtle import right
 import numpy as np #Numpy library to do the calculations
 import matplotlib.pyplot as plt #Matplotlib library to visualize the roads
 from bs4 import BeautifulSoup #Beautiful Soup library for parsing data in python