e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
67 lines
No EOL
2.6 KiB
Python
67 lines
No EOL
2.6 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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import gridslice
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from numpy import ndarray
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def execute(*args):
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#defineNumpySlice(vc, param, targetLevel, sense)
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# vc - cube/list for output parameter
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# param - cube of data that is the same as targetLevel
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# targetLevel - constant value level
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# sense - corresponds to vc for vertical coordinate and whether to search for highest/lowest occurence
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#
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#createNumpySlice(vc, s3d, targetLevel, sense, hyb-optional)
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# vc - cube/list of data that is the same as targetLevel
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# s3d - cube for output parameter
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# targetLevel - 2d grid of data values to find in vc to interpolate s3d
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# sense - corresponds to vc for vertical coordinate and whether to search for highest/lowest occurence
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if len(args) == 3:
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# cube, target level, sense
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if type(args[1]) == ndarray:
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# target level is 2d grid
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rval = gridslice.createNumpySlice(args[0][1], args[0][0], args[1], int(args[2]))
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return rval
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else:
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# target level is single value
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rval = gridslice.defineNumpySlice(args[0][1], args[0][0], args[1], int(args[2]))
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return rval
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else:
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if type(args[2]) == ndarray:
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# cube, cube, grid, sense
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rval = gridslice.createNumpySlice(args[0][0], args[1][0], args[2], int(args[3]))
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return rval
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else:
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# cube, cube, level, sense
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# need to make 2 slice calls, one to create the common level slice
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# and a second to make the output slice
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levelSense = -1
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if abs(int(args[3])) > 1:
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levelSense = -2
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# create slice at common cube level
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rval = gridslice.defineNumpySlice(args[0][1], args[0][0], args[2], levelSense)
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rval = gridslice.createNumpySlice(args[1][1], args[1][0], rval, int(args[3]))
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return rval
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