BigCodeBench / BigCodeBench v0.1.0_hf 6a727776-2050-5c88-b999-9c86425f2067

complete prompt

import csv
import collections
import operator

def task_func(csv_file_path):
    """
    Find the best-selling product from a given CSV file with sales data.

    This function parses a CSV file assumed to have a header followed by rows containing
    two columns: 'product' and 'quantity'. It computes the total sales per product and
    determines the product with the highest cumulative sales. The CSV file must include
    at least these two columns, where 'product' is the name of the product as a string
    and 'quantity' is the number of units sold as an integer.

    Args:
        csv_file_path (str): The file path to the CSV file containing sales data.

    Returns:
        str: The name of the top-selling product based on the total quantity sold.

    Requirements:
    - csv
    - collections
    - operator

    Example:
    >>> task_func("path/to/sales.csv")
    'Product ABC'
    """

instruct prompt

Find the best-selling product from a given CSV file with sales data. This function parses a CSV file assumed to have a header followed by rows containing two columns: 'product' and 'quantity'. It computes the total sales per product and determines the product with the highest cumulative sales. The CSV file must include at least these two columns, where 'product' is the name of the product as a string and 'quantity' is the number of units sold as an integer. Args: csv_file_path (str): The file path to the CSV file containing sales data.
The function should output with:
    str: The name of the top-selling product based on the total quantity sold.
You should write self-contained code starting with:

Code

import csv
import collections
import operator
def task_func(csv_file_path):

code prompt

Code

import csv
import collections
import operator
def task_func(csv_file_path):

entry point

task_func

libs

• operator
• csv
• collections