Fixed python formatting in LUT-related scripts to match ruff standards.

[cjbarton151]

I am updating ldmx-sw, here are the details.

What are the issues that this addresses?

Just a simple fix of a few files to satisfy the formatting requirements laid out by ruff.
After this, we can probably mark #2035 as closed and completed.

Check List

• I successfully compiled ldmx-sw with my developments.
• I read, understood and follow the coding rules.

• I ran my developments and the following shows that they are successful.

All ruff checks passed. I ran the LUT generation sequence (runLUTeventgen.py, runLUTclusterstxt.py, runLUTana.py) in a test configuration, and the results were identical to doing the same on trunk.

[tvami]

Thanks a lot @cjbarton151 !

[github-actions]

Validation Results

All validation samples passed! ✅

Sample	Status
cascade_history	✅ PASS
deep_ecal_gun	✅ PASS
eat_signal	✅ PASS
ecal_pn	✅ PASS
hcal	✅ PASS
inclusive	✅ PASS
it_pileup	✅ PASS
kaon_enhanced	✅ PASS
reduced_ldmx	✅ PASS
signal	✅ PASS
signal_target_al	✅ PASS
target_genie	✅ PASS
target_pn_lyso	✅ PASS
target_ti_en	✅ PASS
wab_lhe	✅ PASS

cascade_history:

• Text Differences Between Logs (2 lines differ)
• Timing for cascade_history: gold=6217s, new=6194s
• Timing within 0% of gold (tolerance 10%)

deep_ecal_gun:

• Text Differences Between Logs (18 lines differ)
• Timing regression for deep_ecal_gun: new=4213s vs gold=3763s (+11%, tolerance 10%)
• Timing for deep_ecal_gun: gold=3763s, new=4213s

eat_signal:

• Timing for eat_signal: gold=1618s, new=1617s
• Timing within 0% of gold (tolerance 10%)

ecal_pn:

• Text Differences Between Logs (28 lines differ)
• Timing for ecal_pn: gold=6718s, new=6761s
• Timing within 0% of gold (tolerance 10%)

hcal:

• Text Differences Between Logs (2 lines differ)
• Timing regression for hcal: new=769s vs gold=665s (+15%, tolerance 10%)
• Timing for hcal: gold=665s, new=769s

inclusive:

• Text Differences Between Logs (52 lines differ)
• Timing regression for inclusive: new=6862s vs gold=3573s (+92%, tolerance 10%)
• Timing for inclusive: gold=3573s, new=6862s

it_pileup:

• Text Differences Between Logs (50 lines differ)
• Timing anomaly for it_pileup: new=504s vs gold=599s (-15%, tolerance 10%)
• Timing for it_pileup: gold=599s, new=504s

kaon_enhanced:

• Text Differences Between Logs (24 lines differ)
• Timing for kaon_enhanced: gold=3095s, new=3152s
• Timing within 1% of gold (tolerance 10%)

reduced_ldmx:

• Text Differences Between Logs (16 lines differ)
• Timing for reduced_ldmx: gold=144s, new=143s
• Timing within 0% of gold (tolerance 10%)

signal:

• Text Differences Between Logs (32 lines differ)
• Timing for signal: gold=1189s, new=1221s
• Timing within 2% of gold (tolerance 10%)

signal_target_al:

• Text Differences Between Logs (30 lines differ)
• Timing for signal_target_al: gold=936s, new=961s
• Timing within 2% of gold (tolerance 10%)

target_genie:

• Text Differences Between Logs (232 lines differ)
• Timing regression for target_genie: new=9865s vs gold=5707s (+72%, tolerance 10%)
• Timing for target_genie: gold=5707s, new=9865s

target_pn_lyso:

• Text Differences Between Logs (36 lines differ)
• Timing for target_pn_lyso: gold=6341s, new=6396s
• Timing within 0% of gold (tolerance 10%)

target_ti_en:

• Text Differences Between Logs (34 lines differ)
• Timing regression for target_ti_en: new=3174s vs gold=2738s (+15%, tolerance 10%)
• Timing for target_ti_en: gold=2738s, new=3174s

wab_lhe:

• Text Differences Between Logs (30 lines differ)
• Timing for wab_lhe: gold=6754s, new=6752s
• Timing within 0% of gold (tolerance 10%)