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BigCodeBench / BigCodeBench v0.1.0_hf 951f8d87-9de5-5c57-af79-97b4a81f387b

Problem

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

complete prompt

from datetime import datetime
import pandas as pd
import numpy as np


def task_func(start_time, end_time, step, amplitude, period, seed=0):
    """
    Generate a time series with a given seasonality from the start UTC time to the end UTC time
    with a given step, and plot the time series with the seasonality.

    Parameters:
    - start_time (int): The start epoch time in milliseconds.
    = end_time (int): The end epoch time in milliseconds.
    - step (int): The step in milliseconds between each data point. Must be at least 1.
    - amplitude (float): The amplitude of the seasonality.
    - period (int): The period of the seasonality in milliseconds. Must be at least 0.
    - seed (int): Random seed for reproducibility. Defaults to 0.

    Returns:
    matplotlib.pyplot.Axes: A plot of the generated 'Time Series with Seasonality',
              with 'Timestamp' on x-axis and 'Value' on y-axis.

    Requirements:
    - datetime.datetime
    - pandas
    - numpy

    Example:
    >>> ax = task_func(0, 10000, 100, 1, 1000)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    >>> ax.get_xticklabels()
    [Text(-20.0, 0, '1970-01-01 10:00:08.000000'), Text(0.0, 0, '1970-01-01 10:00:00.000000'), Text(20.0, 0, '1970-01-01 10:00:02.000000'), Text(40.0, 0, '1970-01-01 10:00:04.000000'), Text(60.0, 0, '1970-01-01 10:00:06.000000'), Text(80.0, 0, '1970-01-01 10:00:08.000000'), Text(100.0, 0, ''), Text(120.0, 0, '')]
    """

instruct prompt

Generate a time series with a given seasonality from the start UTC time to the end UTC time with a given step, and plot the time series with the seasonality.
The function should output with:
    matplotlib.pyplot.Axes: A plot of the generated 'Time Series with Seasonality',
    with 'Timestamp' on x-axis and 'Value' on y-axis.
You should write self-contained code starting with:

Code

from datetime import datetime
import pandas as pd
import numpy as np
def task_func(start_time, end_time, step, amplitude, period, seed=0):

code prompt

Code

from datetime import datetime
import pandas as pd
import numpy as np
def task_func(start_time, end_time, step, amplitude, period, seed=0):

entry point

task_func

libs

  • pandas
  • datetime
  • numpy

Discussion

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Source and history

task_id
951f8d87-9de5-5c57-af79-97b4a81f387b
task_key
default--v0~2e1~2e0~5fhf--951f8d87-9de5-5c57-af79-97b4a81f387b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import