From 970d933aa3041b41f63f9e11cc5e3059f5f35815 Mon Sep 17 00:00:00 2001
From: Adriano Meligrana <68152031+Tortar@users.noreply.github.com>
Date: Thu, 28 Nov 2024 23:37:19 +0100
Subject: [PATCH] Update basic_example.jl

---
 examples/basic_example.jl | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/examples/basic_example.jl b/examples/basic_example.jl
index 4be6117..3ec3c0f 100644
--- a/examples/basic_example.jl
+++ b/examples/basic_example.jl
@@ -5,7 +5,6 @@
 import BeforeIT as Bit
 using FileIO, Plots
 
-
 # We then initialise the model loading some precomputed set of parameters and by specifying a number of epochs.
 # In another tutorial we will illustrate how to compute parameters and initial conditions.
 
@@ -17,7 +16,6 @@ initial_conditions = Bit.AUSTRIA2010Q1.initial_conditions
 T = 16
 model = Bit.init_model(parameters, initial_conditions, T)
 
-
 # Note that the it is very simple to inspect the model by typing
 
 fieldnames(typeof(model))
@@ -33,13 +31,12 @@ data = Bit.init_data(model);
 # We can run now the model for a number of epochs and progressively update the data tracker.
 
 for t in 1:T
-    println(t)
     Bit.run_one_epoch!(model; multi_threading = true)
     Bit.update_data!(data, model)
 end
 
 # Note that we can equivalently run the model for a number of epochs in the single command 
-# `data = BeforeIT.run_one_sim!(model)` , but writing the loop explicitely is more instructive.
+# `data = BeforeIT.run_one_sim!(model)`, but writing the loop explicitely is more instructive.
 
 # We can then plot any time series stored in the data tracker, for example
 
@@ -67,4 +64,3 @@ Threads.nthreads()
 
 ps = Bit.plot_data_vector(data_vector)
 plot(ps..., layout = (3, 3))
-