70 lines
1.5 KiB
Python
70 lines
1.5 KiB
Python
import sympy as sp
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class SympySum(sp.Function):
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@classmethod
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def eval(cls, z):
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return sp.Add(*z)
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class SympyProduct(sp.Function):
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@classmethod
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def eval(cls, z):
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return sp.Mul(*z)
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class SympyMax(sp.Function):
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@classmethod
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def eval(cls, z):
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return sp.Max(*z)
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class SympyMin(sp.Function):
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@classmethod
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def eval(cls, z):
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return sp.Min(*z)
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class SympyMaxabs(sp.Function):
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@classmethod
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def eval(cls, z):
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return sp.Max(*z, key=sp.Abs)
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class SympyMean(sp.Function):
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@classmethod
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def eval(cls, z):
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return sp.Add(*z) / len(z)
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class SympyMedian(sp.Function):
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@classmethod
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def eval(cls, args):
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if all(arg.is_number for arg in args):
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sorted_args = sorted(args)
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n = len(sorted_args)
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if n % 2 == 1:
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return sorted_args[n // 2]
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else:
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return (sorted_args[n // 2 - 1] + sorted_args[n // 2]) / 2
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return None
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@staticmethod
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def numerical_eval(args):
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sorted_args = sorted(args)
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n = len(sorted_args)
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if n % 2 == 1:
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return sorted_args[n // 2]
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else:
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return (sorted_args[n // 2 - 1] + sorted_args[n // 2]) / 2
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def _sympystr(self, printer):
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return f"median({', '.join(map(str, self.args))})"
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def _latex(self, printer):
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return (
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r"\mathrm{median}\left(" + ", ".join(map(sp.latex, self.args)) + r"\right)"
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)
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