benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf f8cd924f-2e8f-502c-84a0-046b3896671f
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import time
import random
import matplotlib.pyplot as plt
from scipy.stats import kurtosis
def task_func(intervals=100, seed=0):
"""
Generates a series of random numbers over a specified number of intervals with a delay of 1 second between
each interval. It then plots these numbers as a function of elapsed time and returns the Axes object along
with the kurtosis value of the generated numbers.
Parameters:
- intervals (int, optional): Number of intervals for generating random numbers. Default is 100.
Returns:
- matplotlib.axes.Axes: The Axes object representing the plot.
- float: The kurtosis value of the generated numbers.
Requirements:
- time
- random
- matplotlib.pyplot
Example:
>>> ax, kurtosis = task_func(5)
>>> type(ax)
<class 'matplotlib.axes._axes.Axes'>
"""
instruct prompt
Generates a series of random numbers over a specified number of intervals with a delay of 1 second between each interval. It then plots these numbers as a function of elapsed time and returns the Axes object along with the kurtosis value of the generated numbers.
The function should output with:
matplotlib.axes.Axes: The Axes object representing the plot.
float: The kurtosis value of the generated numbers.
You should write self-contained code starting with:
Code
import time
import random
import matplotlib.pyplot as plt
from scipy.stats import kurtosis
def task_func(intervals=100, seed=0):
code prompt
Code
import time
import random
import matplotlib.pyplot as plt
from scipy.stats import kurtosis
def task_func(intervals=100, seed=0):
entry point
task_func
libs
- random
- matplotlib
- scipy
- time
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
f8cd924f-2e8f-502c-84a0-046b3896671f- task_key
default--v0~2e1~2e0~5fhf--f8cd924f-2e8f-502c-84a0-046b3896671f- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import