benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 079e8999-89e6-520f-9f51-bb4c3c59c21b
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import heapq
import random
def task_func(obj_list, attr, top_n=5, seed=None):
"""
Find the top N values of the specified attribute in a list of objects.
Return the top N values as well a a randomly sampled value of all attributes.
Parameters:
obj_list (list): The list of objects.
attr (str): The attribute to find the top N values.
top_n (int, optional): The number of top values to retrieve. Defaults to 5.
seed (float, optional): The seed used for randomly choosing an attribute.
Returns:
list[int]: The top N values as a list of integers. Empty list if there are no attributes.
float: A randomly chosen value of all attributes, None if there are no attributes.
Requirements:
- heapq
- random
Example:
>>> # Sample data class used in the example
>>> class Object:
... def __init__(self, value):
... self.value = value
...
>>> random.seed(1)
>>> obj_list = [Object(random.randint(1, 100)) for _ in range(33)]
>>> top_values, random_value = task_func(obj_list, 'value', 5, seed=1)
>>> print(top_values)
[99, 98, 98, 98, 93]
>>> print(random_value)
58
>>> class Object:
... def __init__(self, value):
... self.test = value
...
>>> random.seed(2)
>>> obj_list = [Object(random.randint(1, 12)) for _ in range(13)]
>>> top_values, random_value = task_func(obj_list, 'test', 2, 12)
>>> print(top_values)
[12, 11]
>>> print(random_value)
5
"""
instruct prompt
Find the top N values of the specified attribute in a list of objects. Return the top N values as well a a randomly sampled value of all attributes. >>> class Object: ... def __init__(self, value): ... self.test = value ... >>> random.seed(2) >>> obj_list = [Object(random.randint(1, 12)) for _ in range(13)] >>> top_values, random_value = task_func(obj_list, 'test', 2, 12) >>> print(top_values) [12, 11] >>> print(random_value) 5
The function should output with:
list[int]: The top N values as a list of integers. Empty list if there are no attributes.
float: A randomly chosen value of all attributes, None if there are no attributes.
You should write self-contained code starting with:
Code
import heapq
import random
def task_func(obj_list, attr, top_n=5, seed=None):
code prompt
Code
import heapq
import random
def task_func(obj_list, attr, top_n=5, seed=None):
entry point
task_func
libs
- random
- heapq
Discussion
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Source and history
- task_id
079e8999-89e6-520f-9f51-bb4c3c59c21b- task_key
default--v0~2e1~2e0~5fhf--079e8999-89e6-520f-9f51-bb4c3c59c21b- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import