benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 462082dd-515c-5f08-bc0f-28f1c27f857b
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import statistics
import random
def task_func(students, subjects, seed=None):
"""
Create a grade report for a list of students across various subjects. Each student's grades are randomly generated,
and the report includes the average grade for each student. The randomness is seeded for reproducibility if a seed is provided.
Parameters:
students (list of str): The students for whom the report is being generated.
subjects (list of str): The subjects included in the report.
seed (int, optional): A seed for the random number generator to ensure reproducibility. If None, the randomness is seeded by the system.
Returns:
DataFrame: A pandas DataFrame containing each student's grades across the subjects and their average grade.
Columns are ['Student', 'Subject1', 'Subject2', ..., 'Average Grade'].
Requirements:
- pandas
- statistics
- random
Example:
>>> students = ['Alice', 'Bob', 'Charlie']
>>> subjects = ['Math', 'Physics', 'English']
>>> report = task_func(students, subjects, seed=123)
>>> print(report)
Student Math Physics English Average Grade
0 Alice 6 34 11 17.000000
1 Bob 98 52 34 61.333333
2 Charlie 13 4 48 21.666667
"""
instruct prompt
Create a grade report for a list of students across various subjects. Each student's grades are randomly generated, and the report includes the average grade for each student. The randomness is seeded for reproducibility if a seed is provided.
The function should output with:
DataFrame: A pandas DataFrame containing each student's grades across the subjects and their average grade.
Columns are ['Student', 'Subject1', 'Subject2', ..., 'Average Grade'].
You should write self-contained code starting with:
Code
import pandas as pd
import statistics
import random
def task_func(students, subjects, seed=None):
code prompt
Code
import pandas as pd
import statistics
import random
def task_func(students, subjects, seed=None):
entry point
task_func
libs
- statistics
- pandas
- random
Discussion
No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
See answer Answer published by the source
Artifacts
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Source and history
- task_id
462082dd-515c-5f08-bc0f-28f1c27f857b- task_key
default--v0~2e1~2e0~5fhf--462082dd-515c-5f08-bc0f-28f1c27f857b- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import