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BigCodeBench / BigCodeBench v0.1.0_hf 96014da0-5798-5c8f-b32f-d3f631e51b8e

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
from itertools import product

# Constants
EMPLOYEES = ["John", "Alice", "Bob", "Charlie", "Dave"]


def task_func(date_str):
    """
    Generate a Pandas DataFrame containing a series of dates for a predefined list of employees.

    Parameters:
    - date_str (str): A date string in the "yyyy-mm-dd" format to define the starting date.

    Returns:
    - DataFrame: A pandas DataFrame with 'Employee' and 'Date' columns, listing the next 10 days for each employee.

    Requirements:
    - datetime.datetime
    - pandas
    - itertools

    Example:
    >>> df = task_func('2023-06-15')
    >>> print(df)
       Employee       Date
    0      John 2023-06-15
    1      John 2023-06-16
    ...
    49     Dave 2023-06-24
    """

instruct prompt

Generate a Pandas DataFrame containing a series of dates for a predefined list of employees.
The function should output with:
    DataFrame: A pandas DataFrame with 'Employee' and 'Date' columns, listing the next 10 days for each employee.
You should write self-contained code starting with:

Code

from datetime import datetime
import pandas as pd
from itertools import product
# Constants
EMPLOYEES = ["John", "Alice", "Bob", "Charlie", "Dave"]
def task_func(date_str):

code prompt

Code

from datetime import datetime
import pandas as pd
from itertools import product
# Constants
EMPLOYEES = ["John", "Alice", "Bob", "Charlie", "Dave"]
def task_func(date_str):

entry point

task_func

libs

  • pandas
  • datetime
  • itertools

Discussion

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Source and history

task_id
96014da0-5798-5c8f-b32f-d3f631e51b8e
task_key
default--v0~2e1~2e0~5fhf--96014da0-5798-5c8f-b32f-d3f631e51b8e
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import