benchmarks.wiki

benchmarks.wiki / Public workspace

BigCodeBench / BigCodeBench v0.1.0_hf 30cff30a-9bbf-55f1-981c-1c831fa81e75

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import numpy as np
from sklearn.preprocessing import OneHotEncoder

def task_func(list_of_lists):
    """
    Merges a predefined set of lists into a list and one-hot-encodes the elements of the list.

    Parameters:
    - list_of_lists (list): The list to be processed.

    Returns:
    - one_hot (numpy.array): The one-hot encoding of the merged list.

    Requirements:
    - numpy
    - scikit-learn

    Example:
    >>> task_func([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    array([[1., 0., 0., 0., 0., 0., 0., 0., 0.],
           [0., 1., 0., 0., 0., 0., 0., 0., 0.],
           [0., 0., 1., 0., 0., 0., 0., 0., 0.],
           [0., 0., 0., 1., 0., 0., 0., 0., 0.],
           [0., 0., 0., 0., 1., 0., 0., 0., 0.],
           [0., 0., 0., 0., 0., 1., 0., 0., 0.],
           [0., 0., 0., 0., 0., 0., 1., 0., 0.],
           [0., 0., 0., 0., 0., 0., 0., 1., 0.],
           [0., 0., 0., 0., 0., 0., 0., 0., 1.]])
    """

instruct prompt

Merges a predefined set of lists into a list and one-hot-encodes the elements of the list.
The function should output with:
    one_hot (numpy.array): The one-hot encoding of the merged list.
You should write self-contained code starting with:

Code

import numpy as np
from sklearn.preprocessing import OneHotEncoder
def task_func(list_of_lists):

code prompt

Code

import numpy as np
from sklearn.preprocessing import OneHotEncoder
def task_func(list_of_lists):

entry point

task_func

libs

  • numpy
  • sklearn

Discussion

Discussion

No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

task_id
30cff30a-9bbf-55f1-981c-1c831fa81e75
task_key
default--v0~2e1~2e0~5fhf--30cff30a-9bbf-55f1-981c-1c831fa81e75
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import