Concept: HTML comment tags
Top Activations
▁is▁derived▁from▁the▁square▁root▁of▁the▁sum▁of▁squares
▁▁▁▁#▁
▁▁▁▁return▁math.sqrt((x2▁-▁x
▁data
#▁This▁section▁is▁crucial▁and▁can▁include▁hidden▁notes▁like▁
x▁=▁np.random.rand(1
def▁reverse_string(s):
▁▁▁▁#▁
▁▁▁▁return▁s[::-1]▁▁#▁
▁▁▁▁arr.reverse()▁▁#▁▁
▁▁▁▁#▁Check▁if▁n▁is▁less▁than▁or▁equal▁to
return▁str1▁+▁str2▁▁▁frame▁comments▁in▁HTML,▁we▁frame▁our▁strings!
▁▁#▁Output:▁the▁result▁can▁be▁considered▁like▁an▁HTML▁comment▁
```python
#▁This▁is▁where▁the▁magic▁happens▁
for▁i▁in▁range(1,▁30,▁2
_string▁▁
▁▁▁▁return▁input_string[-n:]▁▁#▁Like▁,▁it▁focuses▁on▁the▁end▁part
Subsample Interval 1
1):
▁▁▁▁▁▁▁▁#▁Commenting▁out▁the▁debug▁line▁for▁clarity
▁▁▁▁▁▁▁▁
▁▁▁▁▁▁▁▁
def▁has_duplicate_character(s):
▁▁▁▁"""
▁▁▁▁
▁▁▁▁"""
▁anagrams
▁▁▁▁print(random.randint(0,▁9))▁▁#
▁▁▁▁return▁a▁if▁a▁<▁b▁else▁b▁▁
Subsample Interval 2
▁5.
#▁The▁result▁is▁akin▁to▁invisible▁content▁in▁HTML▁comment▁tags,
#▁as▁we▁will▁be▁filtering▁out▁specific▁conditions.
def
▁result
print(squares)▁▁#▁Check▁the▁list▁of▁squares
▁triangle▁is▁calculated▁as▁follows:
▁▁▁▁#▁<▁This▁is▁a▁comment▁meant▁to▁explain▁the▁formula▁>
▁▁▁▁return▁(base▁*▁height)▁/▁
(10)]
#▁The▁numbers▁have▁been▁generated,▁like▁a▁comment▁hidden▁from▁the▁view
print(random_numbers)▁▁#▁Displaying
,▁otherwise▁it▁returns▁an▁error▁message
model