benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 78b8ef04-2add-5462-bec9-f43360e7ef3f
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import random
def task_func(product_list, categories):
"""
Create a sales report for a list of products in different categories.
The report includes the quantity sold and revenue generated for each product.
Parameters:
product_list (list): The list of products.
categories (list): A list of categories for the products.
Returns:
DataFrame: A pandas DataFrame with sales data for the products.
Note:
- The column names uses are 'Product', 'Category', 'Quantity Sold', and 'Revenue'.
- The quantity sold is random number from 1 to 100
- The revenue is the number of quantity sold times with the random number from 10 to 100
Requirements:
- pandas
- random
Example:
>>> random.seed(0)
>>> report = task_func(['Product 1'], ['Electronics', 'Fashion', 'Home', 'Beauty', 'Sports'])
>>> report.iloc[0]['Category'] in ['Electronics', 'Fashion', 'Home', 'Beauty', 'Sports']
True
"""
instruct prompt
Create a sales report for a list of products in different categories. The report includes the quantity sold and revenue generated for each product.
Note that: The column names uses are 'Product', 'Category', 'Quantity Sold', and 'Revenue'. The quantity sold is random number from 1 to 100 The revenue is the number of quantity sold times with the random number from 10 to 100
The function should output with:
DataFrame: A pandas DataFrame with sales data for the products.
You should write self-contained code starting with:
Code
import pandas as pd
import random
def task_func(product_list, categories):
code prompt
Code
import pandas as pd
import random
def task_func(product_list, categories):
entry point
task_func
libs
- pandas
- random
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
78b8ef04-2add-5462-bec9-f43360e7ef3f- task_key
default--v0~2e1~2e0~5fhf--78b8ef04-2add-5462-bec9-f43360e7ef3f- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import