6d8adaccb2
Change-Id: I7ea007f0f919017e8212716cc15712c7ed611e69 Former-commit-id:8b23f32311[formerlyee11e5d13c] [formerly8b23f32311[formerlyee11e5d13c] [formerlyac33fb9463[formerly a8bcec4a2fa9ddd49dc300ebd63aebfdfb41723e]]] Former-commit-id:ac33fb9463Former-commit-id:b2b2136868[formerlybe163ebf2a] Former-commit-id:182a717b00
57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
##
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# This software was developed and / or modified by Raytheon Company,
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# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
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#
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# U.S. EXPORT CONTROLLED TECHNICAL DATA
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# This software product contains export-restricted data whose
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# export/transfer/disclosure is restricted by U.S. law. Dissemination
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# to non-U.S. persons whether in the United States or abroad requires
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# an export license or other authorization.
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#
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# Contractor Name: Raytheon Company
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# Contractor Address: 6825 Pine Street, Suite 340
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# Mail Stop B8
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# Omaha, NE 68106
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# 402.291.0100
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#
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# See the AWIPS II Master Rights File ("Master Rights File.pdf") for
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# further licensing information.
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##
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from Add import execute as Add
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from Multiply import execute as Multiply
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from numpy import zeros_like, ndarray
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def execute(*args):
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"""Perform a linear transform
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@return: result = arg1*arg2 + arg3*arg4 + arg5...
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vecresult = vec1*sca1 + vec2*sca2 + vec3...
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"""
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result = None
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if type(args[0]) == tuple:
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zeroArray = zeros_like(args[0][0])
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result = (zeroArray, zeroArray.copy())
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else:
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for arg in args:
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if (type(arg) == ndarray):
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result = zeros_like(arg)
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break
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termLength = 2
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terms = len(args) / termLength
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if len(args) % termLength != 0:
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terms = terms + 1
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for i in range(terms):
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coefficient = args[i * termLength]
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variable = 1 if i * termLength + 1 >= len(args) else args[i * termLength + 1]
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result = Add(result, Multiply(coefficient, variable))
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return result
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