hojzas/proj4-uniq_orig_order-lab1
Text Classification
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Updated
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6
sentence
stringclasses 19
values | label
int64 0
1
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---|---|
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 | 0 |
uniq = []
for char in it:
if not char in uniq:
uniq.append(char)
return uniq | 0 |
return sorted(set(it), key=lambda y: it.index(y)) | 0 |
d={}
res=[]
for x in it:
d[x]=0
for k in d:
res.append(k)
return res | 0 |
registered = set()
register = registered.add
return [x for x in it if not (x in registered or register(x))] | 0 |
array=[]
for i in it:
if i not in array:
array.append(i)
return array | 0 |
seen = set()
return [x for x in it if not (x in seen or seen.add(x))] | 0 |
seen = set()
seen_add = seen.add
return [x for x in it if not (x in seen or seen_add(x))] | 0 |
return [l for i, l in enumerate(it) if i == it.index(l)] | 0 |
seen = set()
result = []
for word in it:
if word not in seen:
result.append(word)
seen.add(word)
return result | 0 |
return (x for y, x in enumerate(it) if it.index(x) == y) | 0 |
return [value for key, value in enumerate(it) if value not in it[:key]] | 0 |
return sorted(set(it), key=it.index) | 0 |
return [tmp for tmp in dict.fromkeys(it).keys()] | 1 |
return [i for i in dict.fromkeys(it)] | 1 |
return list(dict.fromkeys(it)) | 1 |
return list(dict.fromkeys(it).keys()) | 1 |
return list(dict.fromkeys(it)) | 1 |
return [x for x in dict.fromkeys(it).keys()] | 1 |
return list(dict.fromkeys(it).keys()) | 1 |
return list(dict.fromkeys(it)) | 1 |