benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 179b68f4-dac4-5793-a07c-62fb8d72e251
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import numpy as np
import random
from sklearn.preprocessing import MinMaxScaler
def task_func(list_of_lists, seed=42):
"""
Scale the values in a list of lists to a (0,1) range using MinMaxScaler.
If any inner list is empty, the function fills it with five random integers between 0 and 100, and then scales the values.
Parameters:
list_of_lists (list of list of int): A list containing inner lists of integers.
seed (int, Optional): Seed for random number generation. Default is 42.
Returns:
list of list of float: A list of lists containing scaled values between the range [0, 1].
Requirements:
- numpy
- random
- sklearn.preprocessing.MinMaxScaler
Example:
>>> task_func([[1, 2, 3], [], [4, 5, 6]])
[[0.0, 0.5, 1.0], [0.8571428571428572, 0.1208791208791209, 0.0, 1.0, 0.3516483516483517], [0.0, 0.5, 1.0]]
"""
instruct prompt
Scale the values in a list of lists to a (0,1) range using MinMaxScaler. If any inner list is empty, the function fills it with five random integers between 0 and 100, and then scales the values.
The function should output with:
list of list of float: A list of lists containing scaled values between the range [0, 1].
You should write self-contained code starting with:
Code
import numpy as np
import random
from sklearn.preprocessing import MinMaxScaler
def task_func(list_of_lists, seed=42):
code prompt
Code
import numpy as np
import random
from sklearn.preprocessing import MinMaxScaler
def task_func(list_of_lists, seed=42):
entry point
task_func
libs
- numpy
- random
- sklearn
Discussion
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Artifacts
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Source and history
- task_id
179b68f4-dac4-5793-a07c-62fb8d72e251- task_key
default--v0~2e1~2e0~5fhf--179b68f4-dac4-5793-a07c-62fb8d72e251- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import