benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 9ae89a10-c1f7-5f71-81c6-5f0031d8c956
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import pandas as pd
import random
from scipy import stats
def task_func(n_data_points=5000, min_value=0.0, max_value=10.0):
"""
Generate a random dataset of floating-point numbers within a specified range,
truncate each value to 3 decimal places, and calculate statistical measures (mean, median, mode) of the data.
Parameters:
n_data_points (int): Number of data points to generate. Default is 5000.
min_value (float): Minimum value range for data points. Default is 0.0.
max_value (float): Maximum value range for data points. Default is 10.0.
Returns:
dict: A dictionary with keys 'mean', 'median', 'mode' and their corresponding calculated values.
Requirements:
- pandas
- random
- scipy.stats
Example:
>>> random.seed(0)
>>> stats = task_func(1000, 5.0, 5.0)
>>> print(stats)
{'mean': 5.0, 'median': 5.0, 'mode': 5.0}
"""
instruct prompt
Generate a random dataset of floating-point numbers within a specified range, truncate each value to 3 decimal places, and calculate statistical measures (mean, median, mode) of the data.
The function should output with:
dict: A dictionary with keys 'mean', 'median', 'mode' and their corresponding calculated values.
You should write self-contained code starting with:
Code
import pandas as pd
import random
from scipy import stats
def task_func(n_data_points=5000, min_value=0.0, max_value=10.0):
code prompt
Code
import pandas as pd
import random
from scipy import stats
def task_func(n_data_points=5000, min_value=0.0, max_value=10.0):
entry point
task_func
libs
- pandas
- random
- scipy
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
9ae89a10-c1f7-5f71-81c6-5f0031d8c956- task_key
default--v0~2e1~2e0~5fhf--9ae89a10-c1f7-5f71-81c6-5f0031d8c956- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import