benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 701a1583-ab75-5b33-ad29-12f720799905
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import math
import statistics
import numpy as np
def task_func(input_list):
"""
Sorts the input list in ascending order based on the degree value of its elements, and then
calculates the mean, median, and mode of both the sorted list and the same for the magnitude of
the fast fourier transform of the degree values upto the nearest integer.
Parameters:
input_list (list): A list of numbers to be sorted and analyzed.
Returns:
tuple: A tuple containing the rounded mean, median and mode of the sorted list along with those
for the magnitude of the fast fourier transform of the degree values.
Requirements:
- math
- statistics
- numpy
Example:
>>> input_list = [30, 45, 60, 90, 180]
>>> stats = task_func(input_list)
>>> print(stats)
(81, 60, 30, 10712, 8460, 8460)
"""
instruct prompt
Sorts the input list in ascending order based on the degree value of its elements, and then calculates the mean, median, and mode of both the sorted list and the same for the magnitude of the fast fourier transform of the degree values upto the nearest integer.
The function should output with:
tuple: A tuple containing the rounded mean, median and mode of the sorted list along with those
for the magnitude of the fast fourier transform of the degree values.
You should write self-contained code starting with:
Code
import math
import statistics
import numpy as np
def task_func(input_list):
code prompt
Code
import math
import statistics
import numpy as np
def task_func(input_list):
entry point
task_func
libs
- statistics
- math
- numpy
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
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Source and history
- task_id
701a1583-ab75-5b33-ad29-12f720799905- task_key
default--v0~2e1~2e0~5fhf--701a1583-ab75-5b33-ad29-12f720799905- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import