benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf c96730e7-e58c-53e7-8c3e-2849de60b1b9
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import numpy as np
import itertools
def task_func(matrix):
"""
Sorts a numeric 2D numpy array in ascending order and finds all unique combinations of two elements from the sorted array.
Parameters:
- matrix (numpy.array): A 2D numpy array of any shape (m, n), where m and n are non-negative integers.
Returns:
- tuple: A tuple containing two elements:
1. numpy.array: A 1D array with all elements of the input array sorted in ascending order.
2. list: A list of tuples, each containing a pair of elements from the sorted array, representing all unique combinations taken two at a time.
Requirements:
- numpy
- itertools
Example:
>>> task_func(np.array([[1, 3], [2, 4]]))
(array([1, 2, 3, 4]), [(1, 2), (1, 3), (1, 4), (2, 3), (2, 4), (3, 4)])
"""
instruct prompt
Sorts a numeric 2D numpy array in ascending order and finds all unique combinations of two elements from the sorted array.
The function should output with:
tuple: A tuple containing two elements:
1. numpy.array: A 1D array with all elements of the input array sorted in ascending order.
2. list: A list of tuples, each containing a pair of elements from the sorted array, representing all unique combinations taken two at a time.
You should write self-contained code starting with:
Code
import numpy as np
import itertools
def task_func(matrix):
code prompt
Code
import numpy as np
import itertools
def task_func(matrix):
entry point
task_func
libs
- numpy
- 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
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Source and history
- task_id
c96730e7-e58c-53e7-8c3e-2849de60b1b9- task_key
default--v0~2e1~2e0~5fhf--c96730e7-e58c-53e7-8c3e-2849de60b1b9- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import