| 1 | # To change this template, choose Tools | Templates |
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| 2 | # and open the template in the editor. |
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| 3 | |
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| 4 | import anuga.geometry.polygon |
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| 5 | from anuga.geometry.polygon import inside_polygon, is_inside_polygon, line_intersect |
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| 6 | from anuga.config import velocity_protection, g |
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| 7 | import math |
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| 8 | |
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| 9 | import numpy as num |
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| 10 | from anuga.structures.inlet import Inlet |
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| 11 | |
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| 12 | |
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| 13 | class Parallel_Inlet(Inlet): |
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| 14 | """Contains information associated with each inlet |
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| 15 | """ |
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| 16 | |
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| 17 | """ |
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| 18 | Parallel inlet: |
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| 19 | |
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| 20 | master_proc - coordinates all processors associated with this inlet |
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| 21 | usually the processors with domains which contains parts of this inlet. |
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| 22 | |
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| 23 | procs - is the list of all processors associated with this inlet. |
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| 24 | |
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| 25 | (We assume that the above arguments are determined correctly by the parallel_operator_factory) |
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| 26 | """ |
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| 27 | |
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| 28 | def __init__(self, domain, poly, master_proc = 0, procs = None, verbose=False): |
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| 29 | |
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| 30 | self.domain = domain |
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| 31 | self.poly = num.asarray(poly, dtype=num.float64) |
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| 32 | self.verbose = verbose |
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| 33 | |
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| 34 | self.line = True |
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| 35 | if len(self.poly) > 2: |
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| 36 | self.line = False |
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| 37 | |
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| 38 | self.master_proc = master_proc |
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| 39 | |
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| 40 | if procs is None: |
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| 41 | self.procs = [self.master_proc] |
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| 42 | else: |
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| 43 | self.procs = procs |
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| 44 | |
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| 45 | import pypar |
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| 46 | self.myid = pypar.rank() |
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| 47 | |
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| 48 | self.compute_triangle_indices() |
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| 49 | self.compute_area() |
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| 50 | #self.compute_inlet_length() |
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| 51 | |
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| 52 | |
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| 53 | |
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| 54 | def compute_triangle_indices(self): |
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| 55 | |
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| 56 | |
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| 57 | domain_centroids = self.domain.get_centroid_coordinates(absolute=True) |
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| 58 | vertex_coordinates = self.domain.get_full_vertex_coordinates(absolute=True) |
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| 59 | |
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| 60 | |
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| 61 | if self.line: # poly is a line |
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| 62 | self.triangle_indices = line_intersect(vertex_coordinates, self.poly) |
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| 63 | |
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| 64 | else: # poly is a polygon |
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| 65 | |
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| 66 | tris_0 = line_intersect(vertex_coordinates, [self.poly[0],self.poly[1]]) |
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| 67 | tris_1 = inside_polygon(domain_centroids, self.poly) |
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| 68 | self.triangle_indices = num.union1d(tris_0, tris_1) |
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| 69 | #print self.triangle_indices |
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| 70 | |
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| 71 | for i in self.triangle_indices: |
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| 72 | assert self.domain.tri_full_flag[i] == 1 |
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| 73 | |
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| 74 | |
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| 75 | def compute_area(self): |
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| 76 | |
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| 77 | # Compute inlet area as the sum of areas of triangles identified |
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| 78 | # by line. Must be called after compute_inlet_triangle_indices(). |
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| 79 | if len(self.triangle_indices) == 0: |
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| 80 | region = 'Inlet line=%s' % (self.line) |
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| 81 | msg = 'No triangles have been identified in region ' |
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| 82 | print "WARNING: " + msg |
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| 83 | |
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| 84 | self.area = 0.0 |
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| 85 | for j in self.triangle_indices: |
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| 86 | self.area += self.domain.areas[j] |
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| 87 | |
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| 88 | msg = 'Inlet exchange area has area = %f' % self.area |
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| 89 | assert self.area >= 0.0 |
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| 90 | |
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| 91 | def compute_inlet_length(self): |
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| 92 | """ Compute the length of the inlet within this domain (as |
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| 93 | defined by the input line |
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| 94 | """ |
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| 95 | |
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| 96 | point0 = self.line[0] |
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| 97 | point1 = self.line[1] |
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| 98 | |
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| 99 | self.inlet_length = anuga.geometry.polygon.line_length(self.line) |
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| 100 | |
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| 101 | |
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| 102 | def get_inlet_length(self): |
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| 103 | # LOCAL |
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| 104 | msg = "Warning: compute_inlet_length not implemented" |
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| 105 | warnings.warn(msg) |
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| 106 | return self.inlet_length |
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| 107 | |
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| 108 | def get_line(self): |
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| 109 | return self.line |
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| 110 | |
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| 111 | def get_area(self): |
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| 112 | # LOCAL |
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| 113 | return self.area |
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| 114 | |
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| 115 | def get_global_area(self): |
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| 116 | # GLOBAL: Master processor gathers area from all child processors, and returns value |
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| 117 | |
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| 118 | # WARNING: requires synchronization, must be called by all procs associated |
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| 119 | # with this inlet |
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| 120 | |
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| 121 | import pypar |
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| 122 | local_area = self.area |
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| 123 | area = local_area |
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| 124 | |
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| 125 | if self.myid == self.master_proc: |
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| 126 | |
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| 127 | for i in self.procs: |
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| 128 | if i == self.master_proc: continue |
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| 129 | |
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| 130 | val = pypar.receive(i) |
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| 131 | area = area + val |
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| 132 | else: |
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| 133 | pypar.send(area, self.master_proc) |
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| 134 | |
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| 135 | return area |
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| 136 | |
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| 137 | |
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| 138 | def get_areas(self): |
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| 139 | # Must be called after compute_inlet_triangle_indices(). |
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| 140 | # LOCAL |
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| 141 | |
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| 142 | return self.domain.areas.take(self.triangle_indices) |
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| 143 | |
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| 144 | |
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| 145 | def get_stages(self): |
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| 146 | # LOCAL |
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| 147 | |
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| 148 | return self.domain.quantities['stage'].centroid_values.take(self.triangle_indices) |
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| 149 | |
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| 150 | |
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| 151 | def get_average_stage(self): |
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| 152 | # LOCAL |
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| 153 | |
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| 154 | return num.sum(self.get_stages()*self.get_areas())/self.area |
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| 155 | |
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| 156 | def get_global_average_stage(self): |
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| 157 | # GLOBAL: Master processor gathers stages from all child processors, and returns average |
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| 158 | |
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| 159 | # WARNING: requires synchronization, must be called by all procs associated |
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| 160 | # with this inlet |
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| 161 | |
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| 162 | import pypar |
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| 163 | local_stage = num.sum(self.get_stages()*self.get_areas()) |
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| 164 | global_area = self.get_global_area() |
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| 165 | |
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| 166 | |
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| 167 | |
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| 168 | global_stage = local_stage |
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| 169 | |
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| 170 | if self.myid == self.master_proc: |
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| 171 | for i in self.procs: |
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| 172 | if i == self.master_proc: continue |
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| 173 | |
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| 174 | val = pypar.receive(i) |
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| 175 | global_stage = global_stage + val |
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| 176 | else: |
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| 177 | pypar.send(local_stage, self.master_proc) |
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| 178 | |
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| 179 | |
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| 180 | if global_area > 0.0: |
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| 181 | return global_stage/global_area |
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| 182 | else: |
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| 183 | return 0.0 |
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| 184 | |
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| 185 | def get_elevations(self): |
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| 186 | # LOCAL |
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| 187 | return self.domain.quantities['elevation'].centroid_values.take(self.triangle_indices) |
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| 188 | |
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| 189 | def get_average_elevation(self): |
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| 190 | # LOCAL |
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| 191 | |
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| 192 | if self.area > 0: |
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| 193 | return num.sum(self.get_elevations()*self.get_areas())/self.area |
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| 194 | else: |
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| 195 | return 0.0 |
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| 196 | |
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| 197 | |
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| 198 | def get_xmoms(self): |
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| 199 | # LOCAL |
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| 200 | return self.domain.quantities['xmomentum'].centroid_values.take(self.triangle_indices) |
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| 201 | |
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| 202 | |
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| 203 | def get_average_xmom(self): |
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| 204 | # LOCAL |
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| 205 | |
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| 206 | if self.area > 0: |
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| 207 | return num.sum(self.get_xmoms()*self.get_areas())/self.area |
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| 208 | else: |
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| 209 | return 0.0 |
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| 210 | |
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| 211 | def get_global_average_xmom(self): |
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| 212 | # GLOBAL: master proc gathers all xmom values and returns average |
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| 213 | # WARNING: requires synchronization, must be called by all procs associated |
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| 214 | # with this inlet |
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| 215 | |
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| 216 | import pypar |
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| 217 | global_area = self.get_global_area() |
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| 218 | local_xmoms = num.sum(self.get_xmoms()*self.get_areas()) |
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| 219 | global_xmoms = local_xmoms |
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| 220 | |
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| 221 | if self.myid == self.master_proc: |
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| 222 | for i in self.procs: |
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| 223 | if i == self.master_proc: continue |
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| 224 | |
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| 225 | val = pypar.receive(i) |
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| 226 | global_xmoms = global_xmoms + val |
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| 227 | else: |
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| 228 | pypar.send(local_xmoms, self.master_proc) |
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| 229 | |
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| 230 | |
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| 231 | if global_area > 0.0: |
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| 232 | return global_xmoms/global_area |
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| 233 | else: |
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| 234 | return 0.0 |
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| 235 | |
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| 236 | |
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| 237 | def get_ymoms(self): |
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| 238 | # LOCAL |
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| 239 | return self.domain.quantities['ymomentum'].centroid_values.take(self.triangle_indices) |
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| 240 | |
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| 241 | |
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| 242 | def get_average_ymom(self): |
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| 243 | # LOCAL |
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| 244 | return num.sum(self.get_ymoms()*self.get_areas())/self.area |
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| 245 | |
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| 246 | def get_global_average_ymom(self): |
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| 247 | # GLOBAL: master proc gathers all ymom values and returns average |
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| 248 | # WARNING: requires synchronization, must be called by all procs associated |
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| 249 | # with this inlet |
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| 250 | |
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| 251 | import pypar |
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| 252 | global_area = self.get_global_area() |
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| 253 | local_ymoms = num.sum(self.get_ymoms()*self.get_areas()) |
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| 254 | global_ymoms = local_ymoms |
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| 255 | |
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| 256 | if self.myid == self.master_proc: |
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| 257 | for i in self.procs: |
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| 258 | if i == self.master_proc: continue |
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| 259 | |
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| 260 | val = pypar.receive(i) |
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| 261 | global_ymoms = global_ymoms + val |
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| 262 | else: |
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| 263 | pypar.send(local_ymoms, self.master_proc) |
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| 264 | |
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| 265 | |
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| 266 | if global_area > 0.0: |
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| 267 | return global_ymoms/global_area |
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| 268 | else: |
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| 269 | return 0.0 |
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| 270 | |
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| 271 | def get_depths(self): |
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| 272 | # LOCAL |
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| 273 | return self.get_stages() - self.get_elevations() |
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| 274 | |
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| 275 | |
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| 276 | def get_total_water_volume(self): |
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| 277 | # LOCAL |
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| 278 | return num.sum(self.get_depths()*self.get_areas()) |
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| 279 | |
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| 280 | def get_global_total_water_volume(self): |
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| 281 | # GLOBAL: master proc gathers total water volumes from each proc and returns average |
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| 282 | # WARNING: requires synchronization, must be called by all procs associated |
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| 283 | # with this inlet |
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| 284 | |
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| 285 | import pypar |
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| 286 | local_volume = num.sum(self.get_depths()*self.get_areas()) |
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| 287 | volume = local_volume |
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| 288 | |
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| 289 | if self.myid == self.master_proc: |
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| 290 | |
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| 291 | for i in self.procs: |
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| 292 | if i == self.master_proc: continue |
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| 293 | |
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| 294 | val = pypar.receive(i) |
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| 295 | volume = volume + val |
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| 296 | else: |
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| 297 | pypar.send(volume, self.master_proc) |
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| 298 | |
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| 299 | return volume |
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| 300 | |
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| 301 | def get_average_depth(self): |
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| 302 | # LOCAL |
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| 303 | |
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| 304 | if self.area > 0.0: |
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| 305 | return self.get_total_water_volume()/self.area |
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| 306 | else: |
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| 307 | return 0.0 |
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| 308 | |
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| 309 | def get_global_average_depth(self): |
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| 310 | # GLOBAL: master proc gathers all depth values and returns average |
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| 311 | # WARNING: requires synchronization, must be called by all procs associated |
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| 312 | # with this inlet |
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| 313 | |
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| 314 | area = self.get_global_area() |
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| 315 | total_water_volume = self.get_global_total_water_volume() |
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| 316 | |
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| 317 | |
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| 318 | if area > 0.0: |
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| 319 | return total_water_volume / area |
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| 320 | else: |
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| 321 | return 0.0 |
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| 322 | |
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| 323 | |
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| 324 | def get_velocities(self): |
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| 325 | #LOCAL |
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| 326 | depths = self.get_depths() |
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| 327 | u = depths*self.get_xmoms()/(depths**2 + velocity_protection) |
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| 328 | v = depths*self.get_ymoms()/(depths**2 + velocity_protection) |
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| 329 | |
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| 330 | return u, v |
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| 331 | |
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| 332 | |
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| 333 | def get_xvelocities(self): |
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| 334 | #LOCAL |
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| 335 | depths = self.get_depths() |
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| 336 | return depth*self.get_xmoms()/(depths**2 + velocity_protection) |
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| 337 | |
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| 338 | def get_yvelocities(self): |
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| 339 | #LOCAL |
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| 340 | depths = self.get_depths() |
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| 341 | return depths*self.get_ymoms()/(depths**2 + velocity_protection) |
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| 342 | |
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| 343 | |
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| 344 | def get_average_speed(self): |
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| 345 | #LOCAL |
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| 346 | u, v = self.get_velocities() |
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| 347 | |
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| 348 | average_u = num.sum(u*self.get_areas())/self.area |
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| 349 | average_v = num.sum(v*self.get_areas())/self.area |
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| 350 | |
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| 351 | return math.sqrt(average_u**2 + average_v**2) |
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| 352 | |
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| 353 | |
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| 354 | def get_average_velocity_head(self): |
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| 355 | #LOCAL |
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| 356 | return 0.5*self.get_average_speed()**2/g |
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| 357 | |
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| 358 | |
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| 359 | def get_average_total_energy(self): |
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| 360 | #LOCAL |
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| 361 | return self.get_average_velocity_head() + self.get_average_stage() |
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| 362 | |
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| 363 | |
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| 364 | def get_average_specific_energy(self): |
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| 365 | #LOCAL |
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| 366 | return self.get_average_velocity_head() + self.get_average_depth() |
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| 367 | |
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| 368 | |
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| 369 | # Set routines (ALL LOCAL) |
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| 370 | |
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| 371 | def set_depths(self,depth): |
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| 372 | |
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| 373 | self.domain.quantities['stage'].centroid_values.put(self.triangle_indices, self.get_elevations() + depth) |
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| 374 | |
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| 375 | |
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| 376 | def set_stages(self,stage): |
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| 377 | |
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| 378 | self.domain.quantities['stage'].centroid_values.put(self.triangle_indices, stage) |
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| 379 | |
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| 380 | |
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| 381 | def set_xmoms(self,xmom): |
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| 382 | |
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| 383 | self.domain.quantities['xmomentum'].centroid_values.put(self.triangle_indices, xmom) |
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| 384 | |
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| 385 | |
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| 386 | def set_ymoms(self,ymom): |
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| 387 | |
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| 388 | self.domain.quantities['ymomentum'].centroid_values.put(self.triangle_indices, ymom) |
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| 389 | |
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| 390 | |
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| 391 | def set_elevations(self,elevation): |
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| 392 | |
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| 393 | self.domain.quantities['elevation'].centroid_values.put(self.triangle_indices, elevation) |
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| 394 | |
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| 395 | |
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| 396 | def set_stages_evenly(self,volume): |
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| 397 | """ Distribute volume of water over |
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| 398 | inlet exchange region so that stage is level |
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| 399 | """ |
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| 400 | # WARNING: requires synchronization, must be called by all procs associated |
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| 401 | # with this inlet |
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| 402 | |
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| 403 | import pypar |
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| 404 | centroid_coordinates = self.domain.get_full_centroid_coordinates(absolute=True) |
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| 405 | areas = self.get_areas() |
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| 406 | stages = self.get_stages() |
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| 407 | |
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| 408 | stages_order = stages.argsort() |
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| 409 | |
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| 410 | # PETE: send stages and areas, apply merging procedure |
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| 411 | |
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| 412 | s_areas = {} |
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| 413 | s_stages = {} |
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| 414 | s_stages_order = {} |
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| 415 | total_stages = len(stages) |
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| 416 | |
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| 417 | if self.myid == self.master_proc: |
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| 418 | s_areas[self.myid] = areas |
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| 419 | s_stages[self.myid] = stages |
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| 420 | s_stages_order[self.myid] = stages_order |
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| 421 | |
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| 422 | # Recieve areas, stages, and stages order |
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| 423 | for i in self.procs: |
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| 424 | if i != self.master_proc: |
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| 425 | s_areas[i] = pypar.receive(i) |
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| 426 | s_stages[i] = pypar.receive(i) |
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| 427 | s_stages_order[i] = pypar.receive(i) |
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| 428 | total_stages = total_stages + len(s_stages[i]) |
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| 429 | |
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| 430 | else: |
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| 431 | # Send areas, stages, and stages order to master proc of inlet |
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| 432 | pypar.send(areas, self.master_proc) |
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| 433 | pypar.send(stages, self.master_proc) |
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| 434 | pypar.send(stages_order, self.master_proc) |
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| 435 | |
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| 436 | # merge sorted stage order |
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| 437 | if self.myid == self.master_proc: |
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| 438 | pos = {} |
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| 439 | summed_volume = 0. |
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| 440 | summed_areas = 0. |
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| 441 | prev_stage = 0. |
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| 442 | num_stages = 0. |
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| 443 | first = True |
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| 444 | |
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| 445 | for i in self.procs: |
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| 446 | pos[i] = 0 |
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| 447 | |
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| 448 | while num_stages < total_stages: |
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| 449 | # Determine current minimum stage of all the processors in s_stages |
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| 450 | num_stages = num_stages + 1 |
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| 451 | current_stage = num.finfo(num.float32).max |
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| 452 | index = -1 |
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| 453 | |
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| 454 | for i in self.procs: |
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| 455 | if pos[i] >= len(s_stages[i]): |
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| 456 | continue |
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| 457 | |
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| 458 | if s_stages[i][s_stages_order[i][pos[i]]] < current_stage: |
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| 459 | current_stage = s_stages[i][s_stages_order[i][pos[i]]] |
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| 460 | index = i |
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| 461 | |
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| 462 | # If first iteration, then only update summed_areas, position, and prev|current stage |
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| 463 | |
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| 464 | if first: |
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| 465 | first = False |
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| 466 | summed_areas = s_areas[index][s_stages_order[index][pos[index]]] |
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| 467 | pos[index] = pos[index] + 1 |
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| 468 | prev_stage = current_stage |
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| 469 | continue |
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| 470 | |
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| 471 | assert index >= 0, "Index out of bounds" |
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| 472 | |
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| 473 | # Update summed volume and summed areas |
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| 474 | tmp_volume = summed_volume + (summed_areas * (current_stage - prev_stage)) |
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| 475 | |
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| 476 | # Terminate if volume exceeded |
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| 477 | if tmp_volume >= volume: |
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| 478 | break |
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| 479 | |
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| 480 | summed_areas = summed_areas + s_areas[index][s_stages_order[index][pos[index]]] |
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| 481 | pos[index] = pos[index] + 1 |
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| 482 | summed_volume = tmp_volume |
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| 483 | |
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| 484 | # Update position of index processor and current stage |
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| 485 | prev_stage = current_stage |
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| 486 | |
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| 487 | # Calculate new stage |
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| 488 | new_stage = prev_stage + (volume - summed_volume) / summed_areas |
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| 489 | |
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| 490 | # Send postion and new stage to all processors |
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| 491 | for i in self.procs: |
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| 492 | if i != self.master_proc: |
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| 493 | pypar.send(pos[i], i) |
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| 494 | pypar.send(new_stage, i) |
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| 495 | |
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| 496 | # Update own depth |
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| 497 | stages[stages_order[0:pos[self.myid]]] = new_stage |
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| 498 | else: |
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| 499 | pos = pypar.receive(self.master_proc) |
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| 500 | new_stage = pypar.receive(self.master_proc) |
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| 501 | stages[stages_order[0:pos]] = new_stage |
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| 502 | |
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| 503 | self.set_stages(stages) |
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| 504 | |
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| 505 | stages = self.get_stages() |
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| 506 | stages_order = stages.argsort() |
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| 507 | |
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| 508 | def set_depths_evenly(self,volume): |
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| 509 | """ Distribute volume over all exchange |
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| 510 | cells with equal depth of water |
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| 511 | """ |
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| 512 | new_depth = self.get_average_depth() + (volume/self.get_area()) |
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| 513 | self.set_depths(new_depth) |
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| 514 | |
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| 515 | def get_master_proc(self): |
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| 516 | return self.master_proc |
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| 517 | |
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| 518 | def parallel_safe(self): |
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| 519 | |
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| 520 | return True |
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| 521 | |
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| 522 | def statistics(self): |
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| 523 | # WARNING: requires synchronization, must be called by all procs associated |
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| 524 | # with this inlet |
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| 525 | |
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| 526 | import pypar |
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| 527 | |
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| 528 | message = '' |
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| 529 | |
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| 530 | tri_indices = {} |
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| 531 | |
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| 532 | if self.myid == self.master_proc: |
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| 533 | tri_indices[self.myid] = self.triangle_indices |
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| 534 | |
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| 535 | for proc in self.procs: |
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| 536 | if proc == self.master_proc: continue |
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| 537 | |
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| 538 | tri_indices[proc] = pypar.receive(proc) |
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| 539 | |
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| 540 | else: |
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| 541 | pypar.send(self.triangle_indices, self.master_proc) |
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| 542 | |
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| 543 | |
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| 544 | if self.myid == self.master_proc: |
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| 545 | message += '=====================================\n' |
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| 546 | message += 'Inlet\n' |
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| 547 | message += '=====================================\n' |
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| 548 | |
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| 549 | for proc in self.procs: |
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| 550 | message += '======> inlet triangle indices and centres at P%d\n' %(proc) |
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| 551 | message += '%s' % tri_indices[proc] |
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| 552 | message += '\n' |
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| 553 | |
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| 554 | message += '%s' % self.domain.get_centroid_coordinates()[tri_indices[proc]] |
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| 555 | message += '\n' |
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| 556 | |
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| 557 | message += 'line\n' |
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| 558 | message += '%s' % self.line |
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| 559 | message += '\n' |
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| 560 | |
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| 561 | return message |
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| 562 | |
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| 563 | __author__="pete" |
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| 564 | __date__ ="$16/08/2011 6:49:42 PM$" |
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| 565 | |
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| 566 | if __name__ == "__main__": |
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| 567 | print "Hello World" |
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