Version that is working on the cluster

Project.toml

-name = "ridepooling_si,ulatioms"
+name = "ridepooling_simulatioms"
 authors = ["Ruben Haag<ruben.haag@stud.uni-goettingen.de>"]
 version = "0.1.0"
 

initialize.jl

@@ -26,14 +26,14 @@ save_path = "" #TODO What savepath?
 function getValue(index, xmin, xmax, xlen, ymin, ymax, ylen)
     xstep = (xmax-xmin)/xlen
     ystep = (ymax-ymin)/ylen
-    xs = xmin:xstep:xmax
-    ys = ymin:ystep:ymax
 
-    x = xs[index%xlen + 1]
-    y = ys[index - index%xlen + 1]
+
+    x = (index%xlen) * xstep + xmin
+    y = trunc(Int64, index/ylen) * ystep + ymin
     return x,y
 end
 
+
 """
  Function for Running a RidePooling simulation with the normalized Frequency x
 """

initialize.sh

@@ -3,7 +3,7 @@
 
 
 N=1
-SAVE_PATH="${PWD}/results/"
+SAVE_PATH="/scratch01.local/rhaag/earliest_pickup/results/"
 INDEX=1
 DATA_PATH="${SAVE_PATH}data/"
 MODEL_PATH="${SAVE_PATH}model/"

sim.jl

+ENV["PYTHON"]=""
 using Pkg
 Pkg.activate(".")
+
 #Pkg.add(url="https://gitlab.gwdg.de/smuehle1/RidePooling/", rev="planned_pickup")
-Pkg.instantiate()   #there may be an error here concerning PyCall. The dependencies assume Python to be installed on your system, with package 'matplotlib' installed.
+#Pkg.instantiate()   #there may be an error here concerning PyCall. The dependencies assume Python to be installed on your system, with package 'matplotlib' installed.
                     #Either just run 'conda install -c conda-forge matplotlib' in your system shell, or follow instructions below (after running this cell and getting an error) to solve everything from within Julia.
 import RidePooling
 
@@ -71,15 +73,15 @@ if !isdir(paths[:model])
 end
 
 map_folder = paths[:map]
-requested = 20 * N
-served = 20 * N
+requested = 100 * N
+served = 100 * N
 
 include(paths[:map]*"map.jl") #
 include(paths[:dispatcher]*"dispatcher.jl")
 
 
 
-x, y = getValue(index, 0, 100, 10, 1, 5, 10)
+x, y = getValue(index-1, 0, 100, 20, 3, 10, 10)
 
 println("$x\t$y")
 random_gens = Dict(:pickup => [:notRandom, y/t0])