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BigCodeBench / BigCodeBench v0.1.0_hf 1e3c894d-2047-5251-accd-4bd4e8e7661f

Problem

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

complete prompt

from random import randint, seed
import matplotlib.pyplot as plt
import pandas as pd
import re

# Constants
TEAMS = ['Team A', 'Team B', 'Team C', 'Team D', 'Team E']
PENALTY_COST = 1000  # in dollars


def task_func(goals, penalties, rng_seed=None, teams=TEAMS):
    """
    Generate and analyze a Pandas DataFrame of football match results for multiple teams,
    incorporating random goals and penalties, then visualize the analyzed data with colomns 'Team', 'Goals',
    and 'Penalty Cost'. Penalties are converted into fines based on a predetermined penalty cost.

    Parameters:
    - goals (int): The maximum number of goals a team can score in a match.
    - penalties (int): The maximum number of penalties a team can receive in a match.
    - rng_seed (int, optional): Seed for the random number generator to ensure reproducibility. Defaults to None.
    - teams (list of str, optional): List of team names to assign players

    Returns:
    - DataFrame: A pandas DataFrame containing teams, their goals, and penalty costs, along with the original match results.

    Requirements:
    - pandas
    - matplotlib.pyplot
    - random
    - re

    Example:
    >>> analyzed_data = task_func(5, 3, rng_seed=42)
    >>> print(analyzed_data[['Team', 'Goals', 'Penalty Cost']])
         Team  Goals  Penalty Cost
    0  Team A      5             0
    1  Team B      0          2000
    2  Team C      1          1000
    3  Team D      1             0
    4  Team E      5             0
    """

instruct prompt

Generate and analyze a Pandas DataFrame of football match results for multiple teams, incorporating random goals and penalties, then visualize the analyzed data with colomns 'Team', 'Goals', and 'Penalty Cost'. Penalties are converted into fines based on a predetermined penalty cost.
The function should output with:
    DataFrame: A pandas DataFrame containing teams, their goals, and penalty costs, along with the original match results.
You should write self-contained code starting with:

Code

from random import randint, seed
import matplotlib.pyplot as plt
import pandas as pd
import re
# Constants
TEAMS = ['Team A', 'Team B', 'Team C', 'Team D', 'Team E']
PENALTY_COST = 1000  # in dollars
def task_func(goals, penalties, rng_seed=None, teams=TEAMS):

code prompt

Code

from random import randint, seed
import matplotlib.pyplot as plt
import pandas as pd
import re
# Constants
TEAMS = ['Team A', 'Team B', 'Team C', 'Team D', 'Team E']
PENALTY_COST = 1000  # in dollars
def task_func(goals, penalties, rng_seed=None, teams=TEAMS):

entry point

task_func

libs

  • pandas
  • random
  • matplotlib
  • re

Discussion

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Source and history

task_id
1e3c894d-2047-5251-accd-4bd4e8e7661f
task_key
default--v0~2e1~2e0~5fhf--1e3c894d-2047-5251-accd-4bd4e8e7661f
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import