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Merged
Christian-B merged 1 commit into from
Sep 3, 2026
Merged

use f string #159

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6 changes: 3 additions & 3 deletions examples/extra_models_examples/stdp_triplet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -151,19 +151,19 @@ def generate_fixed_frequency_test_data(
size="xx-large")

line_styles = ["--", "-"]
for m_w, d_w, d_e, line_style, t in zip(
for m_w, d_w, d_e, line_style, ms in zip(
weights, data_w, data_e, line_styles, delta_t):
# Calculate deltas from end weights
delta_w = [(w - start_w) / start_w for w in m_w]

# Plot experimental data and error bars
axis.errorbar(
frequencies, d_w, yerr=d_e, color="black", linestyle=line_style,
label=r"Experimental data, delta $(\Delta{t}=%dms)$" % t)
label=rf"Experimental data, delta $(\Delta{t}={ms}ms)$")

# Plot model data
axis.plot(frequencies, delta_w, color="blue", linestyle=line_style,
label=r"Triplet rule, delta $(\Delta{t}=%dms)$" % t)
label=rf"Triplet rule, delta $(\Delta{t}={ms}ms)$")

axis.legend(loc="upper right", bbox_to_anchor=(1.0, 1.0))

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2 changes: 1 addition & 1 deletion examples/split_examples/stdp_neuromodulated_example_split.py
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Expand Up @@ -138,7 +138,7 @@ def plot_spikes(spikes, title, n_neurons):
pylab.plot(punishments, [0.5 for x in punishments], 'r^')
pylab.show()

print("Weights(Initial %s)" % plastic_weights)
print(f"Weights(Initial {plastic_weights})")
for x in weights:
print(x)

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2 changes: 1 addition & 1 deletion examples/split_examples/structural_plasticity_with_stdp_neuromodulated.py
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Expand Up @@ -170,7 +170,7 @@ def plot_spikes(spikes, title, n_pops, n_neurons):
pylab.plot(punishments, [0.5 for x in punishments], 'r^')
pylab.show()

print("Weights(Initial %s)" % plastic_weights)
print(f"Weights(Initial {plastic_weights})")
for x in weights:
print(x)

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36 changes: 18 additions & 18 deletions examples/split_examples/va_benchmark_split.py
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Expand Up @@ -115,7 +115,7 @@
# === Build the network ===

extra = {'threads': threads,
'filename': "va_%s.xml" % benchmark,
'filename': f"va_{benchmark}.xml",
'label': 'VA'}
if simulator_name == "neuroml":
extra["file"] = "VAbenchmarks.xml"
Expand All @@ -129,10 +129,10 @@
np = 1

host_name = socket.gethostname()
print("Host #%d is on %s" % (np, host_name))
print(f"Host #{np} is on {host_name}")

print("%s Initialising the simulator with %d thread(s)..." % (
node_id, extra['threads']))
print(f"{node_id} Initialising the simulator with "
f"{extra['threads']} thread(s)...")

cell_params = {'tau_m': tau_m,
'tau_syn_E': tau_exc,
Expand All @@ -153,7 +153,7 @@

timer.start()

print("%s Creating cell populations..." % node_id)
print(f"{node_id} Creating cell populations...")
exc_cells = p.Population(
n_exc, celltype(**cell_params), label="Excitatory_Cells", seed=1)
inh_cells = p.Population(
Expand All @@ -168,12 +168,12 @@
ext_conn = p.FixedProbabilityConnector(rconn)
ext_stim.record("spikes")

print("%s Initialising membrane potential to random values..." % node_id)
print(f"{node_id} Initialising membrane potential to random values...")
uniformDistr = RandomDistribution('uniform', [v_reset, v_thresh])
exc_cells.initialize(v=uniformDistr)
inh_cells.initialize(v=uniformDistr)

print("%s Connecting populations..." % node_id)
print(f"{node_id} Connecting populations...")
exc_conn = p.FixedProbabilityConnector(pconn)
inh_conn = p.FixedProbabilityConnector(pconn)

Expand All @@ -200,13 +200,13 @@
synapse_type=p.StaticSynapse(weight=0.1))

# === Setup recording ===
print("%s Setting up recording..." % node_id)
print(f"{node_id} Setting up recording...")
exc_cells.record("spikes")

buildCPUTime = timer.diff()

# === Run simulation ===
print("%d Running simulation..." % node_id)
print(f"{node_id} Running simulation...")

print(f"timings: number of neurons: {n}")
print(f"timings: number of synapses: {n * n * pconn}")
Expand All @@ -232,15 +232,15 @@

if node_id == 0:
print("\n--- Vogels-Abbott Network Simulation ---")
print("Nodes : %d" % np)
print("Simulation type : %s" % benchmark)
print("Number of Neurons : %d" % n)
print("Number of Synapses : %s" % connections)
print("Excitatory conductance : %g nS" % Gexc)
print("Inhibitory conductance : %g nS" % Ginh)
print("Build time : %g s" % buildCPUTime)
print("Simulation time : %g s" % simCPUTime)
print("Writing time : %g s" % writeCPUTime)
print(f"Nodes : {np}")
print(f"Simulation type : {benchmark}")
print(f"Number of Neurons : {n}")
print(f"Number of Synapses : {connections}")
print(f"Excitatory conductance : {Gexc} nS")
print(f"Inhibitory conductance : {Ginh} nS")
print(f"Build time : {buildCPUTime} s")
print(f"Simulation time : {simCPUTime} s")
print(f"Writing time : {writeCPUTime} s")


# === Finished with simulator ===
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