diff --git a/:w b/:w
deleted file mode 100644
index 6b8a474..0000000
--- a/:w
+++ /dev/null
@@ -1,6 +0,0 @@
-#mynetwork {
-	height: 500px;
-	width: 500px;
-	background-color: white;
-	border: 4px  black;
-}
diff --git a/ä b/ä
deleted file mode 100644
index ad7b49f..0000000
--- a/ä
+++ /dev/null
@@ -1,68 +0,0 @@
-import math, random, os, time, sys, io
-import json
-import numpy as np
-import networkx as nx
-import scipy
-import time
-from networkx.drawing.nx_pydot import write_dot
-
-def clean_shuffle_graph(G):
-  random_seed_state =  int(random.random()*100000) # quick hack to go back to random afterwards
-  random.seed(42)
-  node_mapping = dict(zip(sorted(G.nodes()), sorted(G.nodes(), key=lambda _: random.random()))) # maybe sorted not really deterministic
-  G = nx.relabel_nodes(G, node_mapping)
-  G = nx.convert_node_labels_to_integers(G)
-  if not nx.is_connected(G):
-    print('Graph is not connected, try a differnt one.')
-    assert(nx.is_connected(G))
-  random.seed(random_seed_state)
-  return G
-
-def gen_sis(G, steps = 1000, inf_rate=1.0, rec_rate=2.0, noise=0.1, statesList = None):
-    S = [1., 0.]
-    I = [0., 1.]
-    states = [random.choice([S, I]) for i in range(G.number_of_nodes())]
-    for _ in range(steps):
-        rates = np.zeros(G.number_of_nodes())
-        for n in range(G.number_of_nodes()):
-            rates[n] = noise
-            if states[n] == I:
-                rates[n] += rec_rate
-            if states[n] == S:
-                rates[n] += inf_rate * len([n_j for n_j in G.neighbors(n) if states[n_j] == I])
-            rates[n] = 1.0/rates[n] # numpy uses mean as rate param
-        jump_time = np.random.exponential(rates)
-        change_n = np.argmin(jump_time)
-        states[change_n] = S if states[change_n] == I else I     
-        statesList.append(states.copy())
-    return states
-
-statesList = []
-steps = 1000 + random.choice(range(1000))
-G_grid10x10 = nx.grid_2d_graph(10,10)
-G = clean_shuffle_graph(G_grid10x10)
-TS_data = gen_sis(G, steps=steps,statesList=statesList)
-# print(G.number_of_nodes())
-# f = open("graph.dot", "rw")
-# nx.drawing.nx_pydot.write_dot(G,f)
-# f.write("\n")
-# f.close()
-# Writing the json file to stdout
-# f = StringIO("")
-dotGraph = ""
-
-#Write dot file to string
-with io.StringIO() as f:
-    write_dot(G, f)
-    f.seek(0)
-    dotGraph = f.read()
-
-output = {
-        "name" : "testGraph",
-        "dotGraph" : dotGraph,
-        "steps" : steps,
-        "states" : statesList,
-        }
-
-jsonOutput = json.dumps(output)
-print(jsonOutput)