benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 7034aa2e-a796-588b-8cbf-de18e3b61cd6
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 json
def task_func(data_list, json_file_name="mean_values.json"):
"""
Calculate the mean of the numeric values for each position in the provided data list
and return the results. Optionally, the results can be exported to a specified JSON file.
Parameters:
- data_list (list of tuples): List of data tuples where each tuple contains a string followed by numeric values.
- json_file_name (str, optional): Name of the JSON file to export the results. Defaults to 'mean_values.json'.
Requirements:
- numpy
- itertools
- json
Returns:
- dict: A dictionary with keys in the format 'Position {i}' and values being the mean of the numeric values
at position i in the provided data list.
Example:
>>> import tempfile
>>> json_file = tempfile.NamedTemporaryFile(delete=False)
>>> task_func([('a', 1, 2), ('b', 2, 3), ('c', 3, 4), ('d', 4, 5), ('e', 5, 6)], json_file.name)
{'Position 1': 3.0, 'Position 2': 4.0}
"""
instruct prompt
Calculate the mean of the numeric values for each position in the provided data list and return the results. Optionally, the results can be exported to a specified JSON file.
The function should output with:
dict: A dictionary with keys in the format 'Position {i}' and values being the mean of the numeric values
at position i in the provided data list.
You should write self-contained code starting with:
Code
import numpy as np
import itertools
import json
def task_func(data_list, json_file_name="mean_values.json"):
code prompt
Code
import numpy as np
import itertools
import json
def task_func(data_list, json_file_name="mean_values.json"):
entry point
task_func
libs
- numpy
- itertools
- json
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
7034aa2e-a796-588b-8cbf-de18e3b61cd6- task_key
default--v0~2e1~2e0~5fhf--7034aa2e-a796-588b-8cbf-de18e3b61cd6- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import