sentence
stringclasses
27 values
label
int64
0
2
it = list(dict.fromkeys(it)) it.sort() return it
0
sequence = [] for i in it: if i in sequence: pass else: sequence.append(i) sequence.sort() return sequence
0
unique = list(set(it)) unique.sort() return unique
0
ordered_items = [] for i in it: if i not in ordered_items: ordered_items.append(i) ordered_items.sort() return ordered_items
0
sorted_list = [] for a in it: if a not in sorted_list: sorted_list.append(a) sorted_list.sort() return sorted_list
0
it = list(set(it)) it.sort() return it
0
nonUniqueList = list(it) uniqueList = list(set(nonUniqueList)) uniqueList.sort() return uniqueList
0
out = set(it) out = list(out) out.sort() return out
0
uniq_list = list(set(it)) uniq_list.sort() return uniq_list
0
values = set() for thing in it: values.add(thing) values = [*values,] values.sort() return values
0
return sorted(list({word : it.count(word) for (word) in set(it)}.keys()))
2
return list(dict.fromkeys(sorted(it)))
2
return sorted((list(dict.fromkeys(it))))
2
return sorted({k for k in list(it)})
2
it = sorted(it) outputSequence = [] for input in it: found = 0 for output in outputSequence: if output == input: found = 1 break if not found: outputSequence.append(input) return outputSequence
2
return sorted(list(dict.fromkeys(it).keys()))
2
sequence_list = list(it) unique_list = list(set(sequence_list)) sorted_list = sorted(unique_list, reverse=False) return sorted_list
2
seen = set() unique_elems = (elem for elem in it if elem not in seen and not seen.add(elem)) return sorted(unique_elems)
2
unique_items = set(it) return sorted(list(unique_items))
1
letters = set(it) sorted_letters = sorted(letters) return sorted_letters
1
return list(sorted(set(it)))
1
it=sorted(set(list(it))) return it
1
return sorted(list({x for x in it}))
1
return sorted(set(list(it)))
1
return sorted(list(set(it)))
1
return sorted(set(it))
1
return sorted([*set(it)])
1
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Models trained or fine-tuned on hojzas/proj4-uniq_srt-lab2