ab735eb442
Some edge cases of a benchmark were failing due to low precision, increased the precision to 100 digits.
34 lines
1 KiB
Python
34 lines
1 KiB
Python
import decimal
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from decimal import Decimal
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from statistics import median as stats_median
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from typing import Annotated
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from arcade.sdk import tool
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decimal.getcontext().prec = 100
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@tool
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def avg(
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numbers: Annotated[list[str], "The list of numbers as strings"],
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) -> Annotated[str, "The average (mean) of the numbers in the list as a string"]:
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"""
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Calculate the average (mean) of a list of numbers.
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Returns "0.0" if the list is empty.
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"""
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# Use Decimal for arbitrary precision
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d_numbers = [Decimal(n) for n in numbers]
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return str(sum(d_numbers) / len(d_numbers)) if d_numbers else "0.0"
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@tool
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def median(
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numbers: Annotated[list[str], "A list of numbers as strings"],
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) -> Annotated[str, "The median value of the numbers in the list as a string"]:
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"""
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Calculate the median of a list of numbers.
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Returns "0.0" if the list is empty.
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"""
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# Use Decimal for arbitrary precision
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d_numbers = [Decimal(n) for n in numbers]
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return str(stats_median(d_numbers)) if d_numbers else "0.0"
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