benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 691d0e78-ff5d-5c63-815d-01e674b720c1
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
import random
def task_func(T1, max_value=100):
"""
Converts elements in 'T1', a tuple of tuples containing string representations
of integers, to integers and creates a list of random integers. The size of the
list equals the sum of these integers. Returns the 25th, 50th, and 75th percentiles
of this list.
Parameters:
T1 (tuple of tuple of str): A tuple of tuples, each containing string representations of integers.
max_value (int): The upper bound for random number generation, exclusive. Default is 100.
Returns:
tuple: A tuple (p25, p50, p75) representing the 25th, 50th, and 75th percentiles of the list.
Requirements:
- numpy
- itertools
- random
Example:
>>> import random
>>> random.seed(42)
>>> T1 = (('13', '17', '18', '21', '32'), ('07', '11', '13', '14', '28'), ('01', '05', '06', '08', '15', '16'))
>>> percentiles = task_func(T1)
>>> print(percentiles)
(24.0, 48.0, 77.0)
"""
instruct prompt
Converts elements in 'T1', a tuple of tuples containing string representations of integers, to integers and creates a list of random integers. The size of the list equals the sum of these integers. Returns the 25th, 50th, and 75th percentiles of this list.
The function should output with:
tuple: A tuple (p25, p50, p75) representing the 25th, 50th, and 75th percentiles of the list.
You should write self-contained code starting with:
Code
import numpy as np
import itertools
import random
def task_func(T1, max_value=100):
code prompt
Code
import numpy as np
import itertools
import random
def task_func(T1, max_value=100):
entry point
task_func
libs
- numpy
- itertools
- 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
691d0e78-ff5d-5c63-815d-01e674b720c1- task_key
default--v0~2e1~2e0~5fhf--691d0e78-ff5d-5c63-815d-01e674b720c1- task_revision_id
- 3
- config / split
- default / v0.1.0_hf
initial import