benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf b9231a38-f95b-541e-a78f-807e45c193d9
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import collections
from queue import PriorityQueue
import random
# Constants
LETTERS = ['a', 'b', 'c', 'd', 'e']
def task_func(string_length=100):
"""
Create a random string of a given length from a predefined list of letters and count the frequency
of each letter, returning an ordered dictionary sorted by frequency in descending order.
Parameters:
- string_length (int, optional): The length of the random string to be generated. Default is 100.
Returns:
- collections.OrderedDict: An ordered dictionary where keys are letters and values are
their frequencies in the generated string, sorted in descending order of frequency.
Requirements:
- collections
- queue.PriorityQueue
- random
Example:
>>> random.seed(0)
>>> freq = task_func(50)
>>> freq # Example output: OrderedDict([('e', 15), ('a', 12), ('b', 10), ('d', 8), ('c', 5)])
OrderedDict(...)
"""
instruct prompt
Create a random string of a given length from a predefined list of letters and count the frequency of each letter, returning an ordered dictionary sorted by frequency in descending order.
The function should output with:
collections.OrderedDict: An ordered dictionary where keys are letters and values are
their frequencies in the generated string, sorted in descending order of frequency.
You should write self-contained code starting with:
Code
import collections
from queue import PriorityQueue
import random
# Constants
LETTERS = ['a', 'b', 'c', 'd', 'e']
def task_func(string_length=100):
code prompt
Code
import collections
from queue import PriorityQueue
import random
# Constants
LETTERS = ['a', 'b', 'c', 'd', 'e']
def task_func(string_length=100):
entry point
task_func
libs
- queue
- collections
- 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
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
b9231a38-f95b-541e-a78f-807e45c193d9- task_key
default--v0~2e1~2e0~5fhf--b9231a38-f95b-541e-a78f-807e45c193d9- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import