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BigCodeBench / BigCodeBench v0.1.0_hf 6c62b406-0b21-5d8d-980e-62d33af2b5ad

Problem

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

complete prompt

import random
from datetime import datetime
import matplotlib.pyplot as plt

def task_func(epoch_milliseconds, seed=None):
    """
    Generate and draw a sales trend for different categories from a particular epoch milliseconds
    to the current UTC time.

    The function selects category from ['Electronics', 'Clothing', 'Home', 'Books', 'Sports'].
    Each day's sales are randomly determined between 10 and 50 units for each category.
    The plot's x-axis represents 'Days since (the start date)', and the y-axis represents 'Sales' units.

    Parameters:
    - epoch_milliseconds (int): Start time. Must be positive and before current time.
    - seed (int, optional): Seed for random number generation. Default is None (no seed).

    Returns:
    - sales_data (dict): Sales data for different categories over days.
    - ax (plt.Axes): The plot depicting the sales trend.

    Raises:
    - ValueError: If the start time is negative or after the current time.
    
    Requirements:
    - random
    - datetime.datetime
    - matplotlib

    Example:
    >>> random.seed(42)
    >>> sales_data, ax = task_func(1236472051807, seed=42)
    >>> type(sales_data)
    <class 'dict'>
    >>> list(sales_data['Electronics'])[:3]
    [50, 24, 47]
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

Generate and draw a sales trend for different categories from a particular epoch milliseconds to the current UTC time. The function selects category from ['Electronics', 'Clothing', 'Home', 'Books', 'Sports']. Each day's sales are randomly determined between 10 and 50 units for each category. The plot's x-axis represents 'Days since (the start date)', and the y-axis represents 'Sales' units.
The function should raise the exception for: ValueError: If the start time is negative or after the current time.
The function should output with:
    sales_data (dict): Sales data for different categories over days.
    ax (plt.Axes): The plot depicting the sales trend.
You should write self-contained code starting with:

Code

import random
from datetime import datetime
import matplotlib.pyplot as plt
def task_func(epoch_milliseconds, seed=None):

code prompt

Code

import random
from datetime import datetime
import matplotlib.pyplot as plt
def task_func(epoch_milliseconds, seed=None):

entry point

task_func

libs

  • datetime
  • random
  • matplotlib

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Source and history

task_id
6c62b406-0b21-5d8d-980e-62d33af2b5ad
task_key
default--v0~2e1~2e0~5fhf--6c62b406-0b21-5d8d-980e-62d33af2b5ad
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import