Changeset 5919


Ignore:
Timestamp:
Nov 6, 2008, 5:22:13 PM (16 years ago)
Author:
rwilson
Message:

NumPy? conversion.

Location:
anuga_core/source_numpy_conversion/anuga/damage_modelling
Files:
2 edited

Legend:

Unmodified
Added
Removed
  • anuga_core/source_numpy_conversion/anuga/damage_modelling/inundation_damage.py

    r4951 r5919  
    77from math import sqrt
    88from Scientific.Functions.Interpolation import InterpolatingFunction
    9 from Numeric import array, ravel, Float, zeros
     9import numpy
    1010from random import choice
    1111from types import StringType
     
    203203    STRUCT_COLLAPSED_TITLE = "collapsed structure if 1"
    204204    STRUCT_INUNDATED_TITLE = "inundated structure if 1"
    205     double_brick_damage_array = array([[-kinds.default_float_kind.MAX, 0.0],
     205    double_brick_damage_array = numpy.array([[-kinds.default_float_kind.MAX, 0.0],
    206206                                       [0.0-depth_epsilon, 0.0],
    207207                                       [0.0,0.016],
     
    215215                                       [kinds.default_float_kind.MAX,64.7]])
    216216    double_brick_damage_curve = InterpolatingFunction( \
    217         (ravel(double_brick_damage_array[:,0:1]),),
    218         ravel(double_brick_damage_array[:,1:]))
    219    
    220     brick_veeer_damage_array = array([[-kinds.default_float_kind.MAX, 0.0],
     217        (numpy.ravel(double_brick_damage_array[:,0:1]),),
     218        numpy.ravel(double_brick_damage_array[:,1:]))
     219   
     220    brick_veeer_damage_array = numpy.array([[-kinds.default_float_kind.MAX, 0.0],
    221221                                       [0.0-depth_epsilon, 0.0],
    222222                                       [0.0,0.016],
     
    230230                                       [kinds.default_float_kind.MAX,69.4]])
    231231    brick_veeer_damage_curve = InterpolatingFunction( \
    232         (ravel(brick_veeer_damage_array[:,0:1]),),
    233         ravel(brick_veeer_damage_array[:,1:]))
     232        (numpy.ravel(brick_veeer_damage_array[:,0:1]),),
     233        numpy.ravel(brick_veeer_damage_array[:,1:]))
    234234    struct_damage_curve = {'Double Brick':double_brick_damage_curve,
    235235                           'Brick Veneer':brick_veeer_damage_curve}
    236236    default_struct_damage_curve = brick_veeer_damage_curve
    237237
    238     contents_damage_array = array([[-kinds.default_float_kind.MAX, 0.0],
     238    contents_damage_array = numpy.array([[-kinds.default_float_kind.MAX, 0.0],
    239239                                       [0.0-depth_epsilon, 0.0],
    240240                                       [0.0,0.013],
     
    247247                                       [kinds.default_float_kind.MAX,98.6]])
    248248    contents_damage_curve = InterpolatingFunction( \
    249         (ravel(contents_damage_array[:,0:1]),),
    250         ravel(contents_damage_array[:,1:]))
     249        (numpy.ravel(contents_damage_array[:,0:1]),),
     250        numpy.ravel(contents_damage_array[:,1:]))
    251251
    252252    #building collapse probability
     
    312312
    313313        # the data being created
    314         struct_damage = zeros(self.structure_count,Float)
    315         contents_damage = zeros(self.structure_count,Float)
     314        struct_damage = numpy.zeros(self.structure_count,numpy.float)
     315        contents_damage = numpy.zeros(self.structure_count,numpy.float)
    316316        self.struct_inundated = ['']* self.structure_count
    317317
  • anuga_core/source_numpy_conversion/anuga/damage_modelling/test_inundation_damage.py

    r5442 r5919  
    1717from anuga.shallow_water.data_manager import get_dataobject
    1818
    19 from Numeric import zeros, Float, allclose
     19import numpy
    2020
    2121
     
    8383        #Initial condition - with jumps
    8484        bed = domain.quantities['elevation'].vertex_values
    85         stage = zeros(bed.shape, Float)
     85        stage = numpy.zeros(bed.shape, numpy.float)
    8686
    8787        h = 0.3
     
    153153        #Initial condition - with jumps
    154154        bed = domain.quantities['elevation'].vertex_values
    155         stage = zeros(bed.shape, Float)
     155        stage = numpy.zeros(bed.shape, numpy.float)
    156156
    157157        h = 30.
     
    308308        #print "struct_loss",struct_loss
    309309        struct_loss = [float(x) for x in struct_loss]
    310         assert allclose(struct_loss,[10,150,16.9,0])
     310        assert numpy.allclose(struct_loss,[10,150,16.9,0])
    311311        depth = csv_handle.get_column(EventDamageModel.MAX_DEPTH_TITLE)
    312312        #print "depth",depth
    313313        depth = [float(x) for x in depth]
    314         assert allclose(depth,[5.5,4.5,0.1,-0.3])
     314        assert numpy.allclose(depth,[5.5,4.5,0.1,-0.3])
    315315        os.remove(sww.filename)
    316316        os.remove(csv_file)
     
    395395        #print "struct_loss",struct_loss
    396396        struct_loss = [float(x) for x in struct_loss]
    397         assert allclose(struct_loss,[10,150,16.9,0])       
     397        assert numpy.allclose(struct_loss,[10,150,16.9,0])       
    398398        depth = csv_handle.get_column(EventDamageModel.MAX_DEPTH_TITLE)
    399399        #print "depth",depth
    400400        depth = [float(x) for x in depth]
    401         assert allclose(depth,[5.5,4.5,0.1,-0.3])
     401        assert numpy.allclose(depth,[5.5,4.5,0.1,-0.3])
    402402       
    403403        # Test another file
     
    406406        #print "struct_loss",struct_loss
    407407        struct_loss = [float(x) for x in struct_loss]
    408         assert allclose(struct_loss,[10,150,16.9,0])       
     408        assert numpy.allclose(struct_loss,[10,150,16.9,0])       
    409409        depth = csv_handle.get_column(EventDamageModel.MAX_DEPTH_TITLE)
    410410        #print "depth",depth
    411411        depth = [float(x) for x in depth]
    412         assert allclose(depth,[5.5,4.5,0.1,-0.3])
     412        assert numpy.allclose(depth,[5.5,4.5,0.1,-0.3])
    413413        os.remove(sww.filename)
    414414        os.remove(csv_file)
     
    458458                               struct_costs, content_costs)
    459459        edm.calc_damage_percentages()
    460         assert allclose(edm.struct_damage,[0.0,0.016,0.572,
     460        assert numpy.allclose(edm.struct_damage,[0.0,0.016,0.572,
    461461                                            0.0,0.016,0.618,
    462462                                            0.0,0.016,0.618])
    463         assert allclose(edm.contents_damage,[0.0,0.013,0.970,
     463        assert numpy.allclose(edm.contents_damage,[0.0,0.013,0.970,
    464464                                             0.0,0.013,0.970,
    465465                                             0.0,0.013,0.970])
    466466        edm.calc_cost()
    467         assert allclose(edm.struct_loss,[0.0,.16,5.72,
     467        assert numpy.allclose(edm.struct_loss,[0.0,.16,5.72,
    468468                                            0.0,.16,6.18,
    469469                                            0.0,0.016,0.618])
    470         assert allclose(edm.contents_loss,[0.0,1.3,97,
     470        assert numpy.allclose(edm.contents_loss,[0.0,1.3,97,
    471471                                             0.0,1.3,97,
    472472                                             0.0,0.13,9.7])
     
    476476        edm = EventDamageModel([0.0]*17, [0.0]*17, [0.0]*17,
    477477                               [0.0]*17, [0.0]*17)
    478         edm.struct_damage = zeros(17,Float)
    479         edm.contents_damage = zeros(17,Float)
     478        edm.struct_damage = numpy.zeros(17,numpy.float)
     479        edm.contents_damage = numpy.zeros(17,numpy.float)
    480480        collapse_probability = {0.4:[0], #0
    481481                                0.6:[1], #1
     
    582582        # Test values based on returned results, so not an excellent test
    583583       
    584         assert allclose(deps[0],0.113204555211)
    585         assert allclose(deps[1],11.3215)
    586         assert allclose(deps[2],0.0) # this value is outside both sww files
     584        assert numpy.allclose(deps[0],0.113204555211)
     585        assert numpy.allclose(deps[1],11.3215)
     586        assert numpy.allclose(deps[2],0.0) # this value is outside both sww files
    587587       
    588588#-------------------------------------------------------------
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