benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf c18e1e08-ebde-5d6b-8565-57d887b9383f
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import random
import numpy as np
def task_func(LETTERS):
"""
Create a dictionary where keys are specified letters and values are lists of random integers.
Then calculate the mean of these integers for each key and return a dictionary of these means.
Parameters:
LETTERS (list of str): List of single-character strings to be used as keys in the output dictionary.
Returns:
dict: A dictionary where each key is a letter from the input list and the value is the mean of
a randomly generated list of integers (with each list having 1 to 10 integers ranging from 0 to 100).
Requirements:
- random
- np (numpy)
Example:
>>> LETTERS = ['a', 'b', 'c']
>>> mean_dict = task_func(LETTERS)
>>> isinstance(mean_dict, dict)
True
>>> 'a' in mean_dict.keys() and 'b' in mean_dict.keys() and 'c' in mean_dict.keys()
True
>>> all(isinstance(v, float) for v in mean_dict.values()) # Check if all values are floats
True
"""
instruct prompt
Create a dictionary where keys are specified letters and values are lists of random integers. Then calculate the mean of these integers for each key and return a dictionary of these means.
The function should output with:
dict: A dictionary where each key is a letter from the input list and the value is the mean of
a randomly generated list of integers (with each list having 1 to 10 integers ranging from 0 to 100).
You should write self-contained code starting with:
Code
import random
import numpy as np
def task_func(LETTERS):
code prompt
Code
import random
import numpy as np
def task_func(LETTERS):
entry point
task_func
libs
- numpy
- 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
c18e1e08-ebde-5d6b-8565-57d887b9383f- task_key
default--v0~2e1~2e0~5fhf--c18e1e08-ebde-5d6b-8565-57d887b9383f- task_revision_id
- 3
- config / split
- default / v0.1.0_hf
initial import