benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf b14b4107-512d-5e39-ba3a-3a26677769ad
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import random
from itertools import combinations
import math
def task_func(n):
"""
Generate n random dots within a unit square (0 to 1 on both axes) in a 2D space
and find the pair that comes closest to each other.
Parameters:
n (int): The number of points to generate. If n is less than 2, the function returns None.
Returns:
tuple or None: A tuple of the form ((x1, y1), (x2, y2)), which are the coordinates of the closest pair,
or None if n is less than 2.
Note:
- This function will return None if the input n less than 2.
Requirements:
- random
- itertools.combinations
- math
Example:
>>> random.seed(0)
>>> print(task_func(2))
((0.8444218515250481, 0.7579544029403025), (0.420571580830845, 0.25891675029296335))
"""
instruct prompt
Generate n random dots within a unit square (0 to 1 on both axes) in a 2D space and find the pair that comes closest to each other.
Note that: This function will return None if the input n less than 2.
The function should output with:
tuple or None: A tuple of the form ((x1, y1), (x2, y2)), which are the coordinates of the closest pair,
or None if n is less than 2.
You should write self-contained code starting with:
Code
import random
from itertools import combinations
import math
def task_func(n):
code prompt
Code
import random
from itertools import combinations
import math
def task_func(n):
entry point
task_func
libs
- math
- random
- itertools
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
Code, notes and reproducible work shared by participants. Files are served from a separate origin.
No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.
Source and history
- task_id
b14b4107-512d-5e39-ba3a-3a26677769ad- task_key
default--v0~2e1~2e0~5fhf--b14b4107-512d-5e39-ba3a-3a26677769ad- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import