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1235. Sequence padding and truncation
easy
Generalsenior
Function contract
Inputs
- seqs
- list
- max_len
- int
- padding
- str
- pad_value
- int
- truncating
- str
Returns
- value
- np.ndarray
Examples
Input
{
"seqs": [
[
5,
2,
9
],
[
1,
2
],
[
7,
8,
9,
10,
11
]
],
"max_len": 4,
"padding": "post",
"pad_value": 0,
"truncating": "pre"
}Output
[
[
5,
2,
9,
0
],
[
1,
2,
0,
0
],
[
8,
9,
10,
11
]
]Input Signature
| Argument | Type |
|---|---|
| seqs | list |
| max_len | int |
| padding | str |
| pad_value | int |
| truncating | str |
Output Signature
| Return Name | Type |
|---|---|
| value | np.ndarray |
Constraints
Hint 1
Hint 2
Hint 3
Roles
ML Engineer
AI Engineer
Data Scientist
Research Scientist
Companies
GeneralLevels
senior
entry
Tags
sequence-padding
truncation
numpy
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