8e80217e59
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]] Former-commit-id:06a8b51d6dFormer-commit-id:3360eb6c5f
94 lines
2.9 KiB
Python
94 lines
2.9 KiB
Python
# -*-python-*-
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import time
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from numpy import *
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SCALAR = 'Scalar'
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VECTOR = 'Vector'
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WEATHER = 'Weather'
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DISCRETE = 'Discrete'
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YES = True
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NO = False
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class VCParm:
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def splitTR(self, tr, inv):
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for btr in inv:
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if self._overlaps(btr, tr):
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if self._containsTR(btr, tr):
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return []
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else:
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splitlst = []
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if not self._contains(btr, tr[0]):
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splitlst = splitlst + self.splitTR((tr[0], btr[0]),
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inv)
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if not self._contains(btr, tr[1]):
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splitlst = splitlst + self.splitTR((btr[1], tr[1]),
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inv)
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return splitlst
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return [tr]
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def tcmp(self, t1, t2):
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return cmp(t1[0], t2[0])
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def getInventory(self, MinT, MinT_ISC):
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# all Fcst grids get included if they overlap an ISC grid
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# list is returned in ascending time
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rval = []
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for tr in MinT:
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lst = []
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for itr in MinT_ISC:
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if self._overlaps(tr, itr):
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lst.append(itr)
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if len(lst):
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rval.append((tr, [tr], lst))
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return rval
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# returns the percentage of tr1 that overlaps tr2
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def poverlap(self, tr1, tr2):
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itr = self._intersect(tr1, tr2)
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return (itr[1] - itr[0]) / float(tr1[1] - tr1[0])
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def calcGrid(self, MinT, MinT_ISC):
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# If getInventory() works right
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# we either get 0 or 1 MinT grids.
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# And if 0 then only 1 MinT_ISC
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# [(intr, grid, mask), ...]
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if len(MinT) == 0:
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return MinT_ISC[0][1]
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#max value for this parm
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maxV = self.getWEInfo()[0][4]
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rval = where(MinT_ISC[0][2], MinT_ISC[0][1], maxV)
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for i in MinT_ISC:
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rval = where(i[2], minimum(i[1], rval), rval)
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return rval
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def calcHistory(self, MinT_ISC):
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rval = []
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for t in MinT_ISC:
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for i in t[1]:
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rval.append(i)
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return rval
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def getWEInfo(self):
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return (("MinT", SCALAR,"F","Minimum Temperature",120.0, -60.0, 0, NO),
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("ISC", "V"), (3600, 3600, 0))
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def _containsTR(self, tr1, tr2):
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if tr1 == tr2:
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return True
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return self._contains(tr1, tr2[0]) and self._contains(tr1, tr2[1])
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def _contains(self, timerange, time):
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if timerange[1] - timerange[0]:
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return ((time >= timerange[0]) and (time < timerange[1]))
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return time == timerange[0]
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def _overlaps(self, tr1, tr2):
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if self._contains(tr2, tr1[0]) or self._contains(tr1, tr2[0]):
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return True
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return False
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def _intersect(self, t1, t2):
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if self._overlaps(t1, t2):
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return (max(t1[0], t2[0]), min(t1[1], t2[1]))
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return None
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