[6991] | 1 | #!/usr/bin/env python |
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| 2 | # Test of MPI module 'pypar' for Python |
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| 3 | # |
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| 4 | # Run as |
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| 5 | # python testpypar.py |
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| 6 | # or |
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| 7 | # mpirun -np 2 testpypar.py |
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| 8 | # (perhaps try number of processors more than 2) |
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| 9 | # |
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| 10 | # To verify bandwidth of your architecture please run pytiming (and ctiming) |
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| 11 | # |
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| 12 | # OMN, GPC FEB 2002 |
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| 13 | |
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| 14 | |
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| 15 | try: |
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| 16 | import numpy |
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| 17 | except: |
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| 18 | raise 'Module numpy must be present to run pypar' |
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| 19 | |
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| 20 | |
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| 21 | #print "Importing pypar" |
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| 22 | import pypar |
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| 23 | methods = dir(pypar) |
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| 24 | assert 'abort' in methods |
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| 25 | assert 'finalize' in methods |
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| 26 | assert 'get_processor_name' in methods |
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| 27 | assert 'time' in methods |
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| 28 | assert 'rank' in methods |
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| 29 | assert 'receive' in methods |
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| 30 | assert 'send' in methods |
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| 31 | assert 'broadcast' in methods |
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| 32 | assert 'size' in methods |
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| 33 | |
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| 34 | #print "Module pypar imported OK" |
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| 35 | #pypar.Barrier() |
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| 36 | |
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| 37 | |
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| 38 | |
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| 39 | # Shorthands as tests were written prior to version 2.0 |
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| 40 | # Eventually, modify all tests to use buffers and remove |
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| 41 | # the 'raw' form. |
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| 42 | def raw_send(x, destination, tag=pypar.default_tag, vanilla=0): |
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| 43 | pypar.send(x, destination, use_buffer=True, tag=tag, vanilla=vanilla) |
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| 44 | |
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| 45 | def raw_receive(x, source, tag=pypar.default_tag, vanilla=0, return_status=0): |
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| 46 | x = pypar.receive(source, tag=tag, vanilla=vanilla, |
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| 47 | return_status=return_status, buffer=x) |
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| 48 | return x |
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| 49 | |
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| 50 | def raw_scatter(x, buffer, source, vanilla=0): |
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| 51 | pypar.scatter(x, source, buffer=buffer, vanilla=vanilla) |
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| 52 | |
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| 53 | |
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| 54 | def raw_gather(x, buffer, source, vanilla=0): |
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| 55 | pypar.gather(x, source, buffer=buffer, vanilla=0) |
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| 56 | |
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| 57 | def raw_reduce(x, buffer, op, source, vanilla=0): |
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| 58 | pypar.reduce(x, op, source, buffer=buffer, vanilla=0) |
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| 59 | |
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| 60 | |
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| 61 | |
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| 62 | |
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| 63 | |
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| 64 | |
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| 65 | |
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| 66 | |
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| 67 | |
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| 68 | |
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| 69 | |
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| 70 | |
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| 71 | |
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| 72 | myid = pypar.rank() |
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| 73 | numproc = pypar.size() |
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| 74 | node = pypar.get_processor_name() |
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| 75 | |
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| 76 | print 'I am processor %d of %d on node %s' %(myid, numproc, node) |
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| 77 | pypar.barrier() |
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| 78 | |
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| 79 | |
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| 80 | if numproc > 1: |
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| 81 | # Test simple raw communication (arrays, strings and general) |
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| 82 | # |
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| 83 | N = 17 #Number of elements |
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| 84 | |
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| 85 | if myid == 0: |
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| 86 | # Integer arrays |
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| 87 | # |
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| 88 | A = numpy.array(range(N)).astype('i') |
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| 89 | B = numpy.zeros(N).astype('i') |
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| 90 | raw_send(A,1) |
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| 91 | raw_receive(B,numproc-1) |
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| 92 | |
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| 93 | assert numpy.allclose(A, B) |
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| 94 | print 'Raw communication of numeric integer arrays OK' |
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| 95 | |
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| 96 | |
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| 97 | # Long integer arrays |
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| 98 | # |
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| 99 | A = numpy.array(range(N)).astype('l') |
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| 100 | B = numpy.zeros(N).astype('l') |
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| 101 | raw_send(A,1) |
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| 102 | raw_receive(B,numproc-1) |
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| 103 | |
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| 104 | assert numpy.allclose(A, B) |
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| 105 | print "Raw communication of numeric long integer arrays OK" |
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| 106 | |
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| 107 | # Real arrays |
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| 108 | # |
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| 109 | A = numpy.array(range(N)).astype('f') |
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| 110 | B = numpy.zeros(N).astype('f') |
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| 111 | raw_send(A,1) |
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| 112 | raw_receive(B,numproc-1) |
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| 113 | |
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| 114 | assert numpy.allclose(A, B) |
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| 115 | print "Raw communication of numeric real arrays OK" |
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| 116 | |
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| 117 | # Complex arrays |
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| 118 | # |
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| 119 | A = numpy.array(range(N)).astype('D') |
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| 120 | A += 3j |
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| 121 | B = numpy.zeros(N).astype('D') |
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| 122 | raw_send(A, 1) |
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| 123 | B = raw_receive(B, numproc-1) |
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| 124 | |
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| 125 | assert numpy.allclose(A, B) |
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| 126 | print "Raw communication of numeric complex arrays OK" |
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| 127 | |
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| 128 | # Strings (< 256 characters) |
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| 129 | # |
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| 130 | A = "and now to something completely different !" |
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| 131 | B = " "*len(A) |
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| 132 | raw_send(A,1) |
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| 133 | B, status = raw_receive(B,numproc-1,return_status=True) |
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| 134 | |
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| 135 | assert A == B |
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| 136 | print "Raw communication of strings OK" |
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| 137 | |
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| 138 | # A more general structure |
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| 139 | # |
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| 140 | A = ['ABC', (1,2,3.14), {8: 'Monty'}, numpy.array([13.45, 1.2])] |
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| 141 | B = [' ', (0,0,0.0) , {0: ' '}, numpy.zeros(2).astype('f')] |
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| 142 | raw_send(A,1) |
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| 143 | B, status = raw_receive(B,numproc-1, return_status=True) |
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| 144 | |
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| 145 | OK = True |
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| 146 | for i, a in enumerate(A): |
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| 147 | b = B[i] |
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| 148 | |
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| 149 | if type(a).__name__ == 'ndarray': |
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| 150 | if not numpy.allclose(a, b): |
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| 151 | OK = False |
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| 152 | break |
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| 153 | elif a != b: |
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| 154 | OK = False |
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| 155 | break |
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| 156 | |
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| 157 | if OK is True: |
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| 158 | print 'Raw communication of general structures OK' |
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| 159 | else: |
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| 160 | raise Exception |
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| 161 | |
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| 162 | |
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| 163 | else: |
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| 164 | # Integers |
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| 165 | # |
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| 166 | X = numpy.zeros(N).astype('i') |
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| 167 | raw_receive(X, myid-1) |
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| 168 | raw_send(X, (myid+1)%numproc) |
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| 169 | |
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| 170 | # Long integers |
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| 171 | # |
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| 172 | X = numpy.zeros(N).astype('l') |
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| 173 | raw_receive(X, myid-1) |
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| 174 | raw_send(X, (myid+1)%numproc) |
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| 175 | |
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| 176 | # Floats |
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| 177 | # |
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| 178 | X = numpy.zeros(N).astype('f') |
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| 179 | raw_receive(X, myid-1) |
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| 180 | raw_send(X, (myid+1)%numproc) |
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| 181 | |
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| 182 | # Complex |
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| 183 | # |
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| 184 | X = numpy.zeros(N).astype('D') |
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| 185 | X = raw_receive(X, myid-1) |
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| 186 | raw_send(X, (myid+1)%numproc) |
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| 187 | |
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| 188 | # Strings |
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| 189 | # |
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| 190 | X = " "*256 |
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| 191 | raw_receive(X, myid-1) |
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| 192 | raw_send(X.strip(), (myid+1)%numproc) |
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| 193 | |
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| 194 | # General |
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| 195 | # |
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| 196 | X = [' ', (0,0,0.0), {0: ' '}, numpy.zeros(2).astype('f')] |
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| 197 | X = raw_receive(X, myid-1) |
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| 198 | raw_send(X, (myid+1)%numproc) |
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| 199 | |
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| 200 | |
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| 201 | |
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| 202 | |
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| 203 | |
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| 204 | #Test (raw communication of) multi dimensional arrays |
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| 205 | |
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| 206 | M = 13 #Number of elements in dim 1 |
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| 207 | N = 17 #Number of elements in higher dims |
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| 208 | |
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| 209 | if myid == 0: |
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| 210 | # 2D real arrays |
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| 211 | # |
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| 212 | A = numpy.array(range(M*N)).astype('f') |
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| 213 | B = numpy.zeros(M*N).astype('f') |
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| 214 | |
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| 215 | A = numpy.reshape(A, (M,N)) |
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| 216 | B = numpy.reshape(B, (M,N)) |
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| 217 | |
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| 218 | raw_send(A,1) |
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| 219 | raw_receive(B,numproc-1) |
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| 220 | |
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| 221 | assert numpy.allclose(A, B) |
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| 222 | print "Raw communication of 2D real arrays OK" |
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| 223 | |
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| 224 | # 2D complex arrays |
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| 225 | # |
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| 226 | A = numpy.array(range(M*N)).astype('D') |
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| 227 | B = numpy.zeros(M*N).astype('D') |
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| 228 | |
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| 229 | A = numpy.reshape(A, (M,N)) |
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| 230 | B = numpy.reshape(B, (M,N)) |
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| 231 | |
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| 232 | raw_send(A,1) |
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| 233 | raw_receive(B,numproc-1) |
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| 234 | |
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| 235 | assert numpy.allclose(A, B) |
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| 236 | print "Raw communication of 2D complex arrays OK" |
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| 237 | |
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| 238 | # 3D real arrays |
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| 239 | # |
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| 240 | A = numpy.array(range(M*N*N)).astype('f') |
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| 241 | B = numpy.zeros(M*N*N).astype('f') |
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| 242 | |
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| 243 | A = numpy.reshape(A, (M,N,N)) |
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| 244 | B = numpy.reshape(B, (M,N,N)) |
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| 245 | |
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| 246 | raw_send(A,1) |
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| 247 | raw_receive(B,numproc-1) |
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| 248 | |
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| 249 | assert numpy.allclose(A, B) |
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| 250 | print "Raw communication of 3D real real arrays OK" |
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| 251 | |
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| 252 | # 4D real arrays |
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| 253 | # |
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| 254 | A = numpy.array(range(M*N*N*M)).astype('f') |
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| 255 | B = numpy.zeros(M*N*N*M).astype('f') |
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| 256 | |
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| 257 | A = numpy.reshape(A, (M,N,N,M)) |
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| 258 | B = numpy.reshape(B, (M,N,N,M)) |
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| 259 | |
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| 260 | raw_send(A,1) |
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| 261 | raw_receive(B,numproc-1) |
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| 262 | |
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| 263 | assert numpy.allclose(A, B) |
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| 264 | print "Raw communication of 4D real real arrays OK" |
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| 265 | |
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| 266 | # 5D real arrays |
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| 267 | # |
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| 268 | A = numpy.array(range(M*N*2*N*M)).astype('f') |
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| 269 | B = numpy.zeros(M*N*2*N*M).astype('f') |
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| 270 | |
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| 271 | A = numpy.reshape(A, (M,N,2,N,M)) |
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| 272 | B = numpy.reshape(B, (M,N,2,N,M)) |
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| 273 | |
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| 274 | raw_send(A,1) |
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| 275 | raw_receive(B,numproc-1) |
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| 276 | |
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| 277 | assert numpy.allclose(A, B) |
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| 278 | print "Raw communication of 5D real real arrays OK" |
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| 279 | |
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| 280 | # 5D double arrays |
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| 281 | # |
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| 282 | A = numpy.array(range(M*N*2*N*M)).astype('d') |
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| 283 | B = numpy.zeros(M*N*2*N*M).astype('d') |
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| 284 | |
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| 285 | A = numpy.reshape(A, (M,N,2,N,M)) |
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| 286 | B = numpy.reshape(B, (M,N,2,N,M)) |
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| 287 | |
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| 288 | raw_send(A,1) |
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| 289 | raw_receive(B,numproc-1) |
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| 290 | |
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| 291 | assert numpy.allclose(A, B) |
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| 292 | print "Raw communication of 5D double arrays OK" |
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| 293 | |
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| 294 | # 5D complex arrays |
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| 295 | # |
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| 296 | A = numpy.array(range(M*N*2*N*M)).astype('D') |
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| 297 | B = numpy.zeros(M*N*2*N*M).astype('D') |
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| 298 | |
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| 299 | A = numpy.reshape(A, (M,N,2,N,M)) |
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| 300 | B = numpy.reshape(B, (M,N,2,N,M)) |
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| 301 | |
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| 302 | raw_send(A,1) |
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| 303 | raw_receive(B,numproc-1) |
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| 304 | |
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| 305 | assert numpy.allclose(A, B) |
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| 306 | print "Raw communication of 5D complex arrays OK" |
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| 307 | else: |
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| 308 | # 2D real arrays |
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| 309 | # |
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| 310 | X = numpy.zeros(M*N).astype('f') |
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| 311 | X = numpy.reshape(X, (M,N)) |
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| 312 | |
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| 313 | raw_receive(X, myid-1) |
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| 314 | raw_send(X, (myid+1)%numproc) |
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| 315 | |
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| 316 | # 2D complex arrays |
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| 317 | # |
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| 318 | X = numpy.zeros(M*N).astype('D') |
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| 319 | X = numpy.reshape(X, (M,N)) |
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| 320 | |
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| 321 | X = raw_receive(X, myid-1) |
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| 322 | raw_send(X, (myid+1)%numproc) |
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| 323 | |
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| 324 | # 3D real arrays |
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| 325 | # |
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| 326 | X = numpy.zeros(M*N*N).astype('f') |
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| 327 | X = numpy.reshape(X, (M,N,N)) |
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| 328 | |
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| 329 | raw_receive(X, myid-1) |
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| 330 | raw_send(X, (myid+1)%numproc) |
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| 331 | |
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| 332 | # 4D real arrays |
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| 333 | # |
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| 334 | X = numpy.zeros(M*N*N*M).astype('f') |
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| 335 | X = numpy.reshape(X, (M,N,N,M)) |
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| 336 | |
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| 337 | raw_receive(X, myid-1) |
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| 338 | raw_send(X, (myid+1)%numproc) |
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| 339 | |
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| 340 | # 5D real arrays |
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| 341 | # |
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| 342 | X = numpy.zeros(M*N*2*N*M).astype('f') |
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| 343 | X = numpy.reshape(X, (M,N,2,N,M)) |
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| 344 | |
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| 345 | raw_receive(X, myid-1) |
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| 346 | raw_send(X, (myid+1)%numproc) |
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| 347 | |
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| 348 | # 5D double arrays |
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| 349 | # |
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| 350 | X = numpy.zeros(M*N*2*N*M).astype('d') |
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| 351 | X = numpy.reshape(X, (M,N,2,N,M)) |
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| 352 | |
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| 353 | raw_receive(X, myid-1) |
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| 354 | raw_send(X, (myid+1)%numproc) |
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| 355 | |
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| 356 | # 5D complex arrays |
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| 357 | # |
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| 358 | X = numpy.zeros(M*N*2*N*M).astype('D') |
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| 359 | X = numpy.reshape(X, (M,N,2,N,M)) |
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| 360 | |
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| 361 | raw_receive(X, myid-1) |
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| 362 | raw_send(X, (myid+1)%numproc) |
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| 363 | |
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| 364 | # Test easy communication - without buffers (arrays, strings and general) |
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| 365 | # |
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| 366 | N = 17 #Number of elements |
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| 367 | |
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| 368 | if myid == 0: |
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| 369 | # Integer arrays |
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| 370 | # |
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| 371 | A = numpy.array(range(N)) |
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| 372 | |
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| 373 | pypar.send(A,1) |
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| 374 | B = pypar.receive(numproc-1) |
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| 375 | |
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| 376 | |
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| 377 | assert numpy.allclose(A, B) |
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| 378 | print "Simplified communication of numeric integer arrays OK" |
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| 379 | |
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| 380 | # Long integer arrays |
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| 381 | # |
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| 382 | A = numpy.array(range(N)).astype('l') |
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| 383 | pypar.send(A,1) |
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| 384 | B=pypar.receive(numproc-1) |
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| 385 | |
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| 386 | assert numpy.allclose(A, B) |
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| 387 | print "Simplified communication of long integer real arrays OK" |
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| 388 | |
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| 389 | # Real arrays |
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| 390 | # |
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| 391 | A = numpy.array(range(N)).astype('f') |
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| 392 | pypar.send(A,1) |
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| 393 | B=pypar.receive(numproc-1) |
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| 394 | |
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| 395 | assert numpy.allclose(A, B) |
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| 396 | print "Simplified communication of numeric real arrays OK" |
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| 397 | |
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| 398 | # Complex arrays |
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| 399 | # |
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| 400 | A = numpy.array(range(N)).astype('D') |
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| 401 | A += 3j |
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| 402 | pypar.send(A,1) |
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| 403 | B=pypar.receive(numproc-1) |
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| 404 | |
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| 405 | assert numpy.allclose(A, B) |
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| 406 | print "Simplified communication of numeric complex arrays OK" |
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| 407 | |
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| 408 | |
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| 409 | # Strings |
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| 410 | # |
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| 411 | A = "and now to something completely different !" |
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| 412 | pypar.send(A,1) |
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| 413 | B=pypar.receive(numproc-1) |
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| 414 | |
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| 415 | assert A == B |
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| 416 | print "Simplified communication of strings OK" |
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| 417 | |
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| 418 | # A more general structure |
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| 419 | # |
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| 420 | A = ['ABC', (1,2,3.14), {8: 'Monty'}, numpy.array([13.45, 1.2])] |
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| 421 | pypar.send(A,1) |
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| 422 | B = pypar.receive(numproc-1) |
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| 423 | |
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| 424 | OK = True |
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| 425 | for i, a in enumerate(A): |
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| 426 | b = B[i] |
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| 427 | |
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| 428 | if type(a).__name__ == 'ndarray': |
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| 429 | if not numpy.allclose(a, b): |
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| 430 | OK = False |
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| 431 | break |
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| 432 | elif a != b: |
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| 433 | OK = False |
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| 434 | break |
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| 435 | |
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| 436 | if OK is True: |
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| 437 | print 'Simplified communication of general structures OK' |
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| 438 | else: |
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| 439 | raise Exception |
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| 440 | |
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| 441 | else: |
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| 442 | # Integers |
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| 443 | # |
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| 444 | X=pypar.receive(myid-1) |
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| 445 | pypar.send(X, (myid+1)%numproc) |
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| 446 | |
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| 447 | # Long integers |
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| 448 | # |
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| 449 | X=pypar.receive(myid-1) |
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| 450 | pypar.send(X, (myid+1)%numproc) |
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| 451 | |
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| 452 | # Floats |
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| 453 | # |
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| 454 | X=pypar.receive(myid-1) |
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| 455 | pypar.send(X, (myid+1)%numproc) |
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| 456 | |
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| 457 | # Complex |
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| 458 | # |
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| 459 | X=pypar.receive(myid-1) |
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| 460 | pypar.send(X, (myid+1)%numproc) |
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| 461 | |
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| 462 | # Strings |
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| 463 | # |
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| 464 | X=pypar.receive(myid-1) |
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| 465 | pypar.send(X, (myid+1)%numproc) |
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| 466 | |
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| 467 | # General |
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| 468 | # |
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| 469 | X = pypar.receive(myid-1) |
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| 470 | pypar.send(X, (myid+1)%numproc) |
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| 471 | |
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| 472 | |
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| 473 | |
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| 474 | |
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| 475 | |
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| 476 | #Test (easy communication of) multi dimensional arrays |
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| 477 | |
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| 478 | M = 13 #Number of elements in dim 1 |
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| 479 | N = 17 #Number of elements in higher dims |
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| 480 | |
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| 481 | if myid == 0: |
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| 482 | # 2D real arrays |
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| 483 | # |
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| 484 | A = numpy.array(range(M*N)).astype('f') |
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| 485 | |
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| 486 | A = numpy.reshape(A, (M,N)) |
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| 487 | |
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| 488 | pypar.send(A,1) |
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| 489 | B = pypar.receive(numproc-1) |
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| 490 | |
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| 491 | assert numpy.allclose(A, B) |
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| 492 | print "Simplified communication of 2D real arrays OK" |
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| 493 | |
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| 494 | # 3D real arrays |
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| 495 | # |
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| 496 | A = numpy.array(range(M*N*N)).astype('f') |
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| 497 | A = numpy.reshape(A, (M,N,N)) |
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| 498 | |
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| 499 | pypar.send(A,1) |
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| 500 | B=pypar.receive(numproc-1) |
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| 501 | |
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| 502 | assert numpy.allclose(A, B) |
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| 503 | print "Simplified communication of 3D real arrays OK" |
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| 504 | |
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| 505 | # 4D real arrays |
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| 506 | # |
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| 507 | A = numpy.array(range(M*N*N*M)).astype('f') |
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| 508 | A = numpy.reshape(A, (M,N,N,M)) |
---|
| 509 | |
---|
| 510 | pypar.send(A,1) |
---|
| 511 | B=pypar.receive(numproc-1) |
---|
| 512 | |
---|
| 513 | assert numpy.allclose(A, B) |
---|
| 514 | print "Simplified communication of 4D real arrays OK" |
---|
| 515 | |
---|
| 516 | # 5D real arrays |
---|
| 517 | # |
---|
| 518 | A = numpy.array(range(M*N*2*N*M)).astype('f') |
---|
| 519 | A = numpy.reshape(A, (M,N,2,N,M)) |
---|
| 520 | |
---|
| 521 | pypar.send(A,1) |
---|
| 522 | B=pypar.receive(numproc-1) |
---|
| 523 | |
---|
| 524 | assert numpy.allclose(A, B) |
---|
| 525 | print "Simplified communication of 5D real arrays OK" |
---|
| 526 | |
---|
| 527 | # 5D double arrays |
---|
| 528 | # |
---|
| 529 | A = numpy.array(range(M*N*2*N*M)).astype('d') |
---|
| 530 | A = numpy.reshape(A, (M,N,2,N,M)) |
---|
| 531 | |
---|
| 532 | pypar.send(A,1) |
---|
| 533 | B=pypar.receive(numproc-1) |
---|
| 534 | |
---|
| 535 | assert numpy.allclose(A, B) |
---|
| 536 | print "Simplified communication of 5D double arrays OK" |
---|
| 537 | |
---|
| 538 | # 5D complex arrays |
---|
| 539 | # |
---|
| 540 | A = numpy.array(range(M*N*2*N*M)).astype('D') |
---|
| 541 | A = numpy.reshape(A, (M,N,2,N,M)) |
---|
| 542 | |
---|
| 543 | pypar.send(A,1) |
---|
| 544 | B=pypar.receive(numproc-1) |
---|
| 545 | |
---|
| 546 | assert numpy.allclose(A, B) |
---|
| 547 | print "Simplified communication of 5D complex real arrays OK" |
---|
| 548 | |
---|
| 549 | else: |
---|
| 550 | # 2D real arrays |
---|
| 551 | # |
---|
| 552 | |
---|
| 553 | X = pypar.receive(myid-1) |
---|
| 554 | pypar.send(X, (myid+1)%numproc) |
---|
| 555 | |
---|
| 556 | # 3D real arrays |
---|
| 557 | # |
---|
| 558 | X=pypar.receive(myid-1) |
---|
| 559 | pypar.send(X, (myid+1)%numproc) |
---|
| 560 | |
---|
| 561 | # 4D real arrays |
---|
| 562 | # |
---|
| 563 | X = pypar.receive(myid-1) |
---|
| 564 | pypar.send(X, (myid+1)%numproc) |
---|
| 565 | |
---|
| 566 | # 5D real arrays |
---|
| 567 | # |
---|
| 568 | X=pypar.receive(myid-1) |
---|
| 569 | pypar.send(X, (myid+1)%numproc) |
---|
| 570 | |
---|
| 571 | # 5D double arrays |
---|
| 572 | # |
---|
| 573 | X=pypar.receive(myid-1) |
---|
| 574 | pypar.send(X, (myid+1)%numproc) |
---|
| 575 | |
---|
| 576 | # 5D complex arrays |
---|
| 577 | # |
---|
| 578 | X=pypar.receive(myid-1) |
---|
| 579 | pypar.send(X, (myid+1)%numproc) |
---|
| 580 | |
---|
| 581 | # Test broadcast - with buffers (arrays, strings and general) |
---|
| 582 | # |
---|
| 583 | |
---|
| 584 | testString = ('test' + str(myid)).ljust(10) #Buffers must have the same length on all procs! |
---|
| 585 | pypar.broadcast(testString, 0) |
---|
| 586 | assert testString.strip() == 'test0' |
---|
| 587 | |
---|
| 588 | testString = ('test' + str(myid)).ljust(10) #Buffers must have the same length on all procs! |
---|
| 589 | pypar.broadcast(testString, numproc-1) |
---|
| 590 | assert testString.strip() == 'test' + str(numproc-1) |
---|
| 591 | |
---|
| 592 | if myid == 0: |
---|
| 593 | print "Broadcast communication of strings OK" |
---|
| 594 | |
---|
| 595 | #################################################### |
---|
| 596 | N = 17 #Number of elements |
---|
| 597 | testArray = myid * numpy.array(range(N)) |
---|
| 598 | pypar.broadcast(testArray, 1) |
---|
| 599 | assert numpy.allclose(testArray, 1 * testArray) |
---|
| 600 | |
---|
| 601 | if myid == 0: |
---|
| 602 | print "Broadcast communication of numeric integer array OK" |
---|
| 603 | |
---|
| 604 | |
---|
| 605 | testArray = myid * numpy.array(range(N)).astype('f') |
---|
| 606 | pypar.broadcast(testArray, 1) |
---|
| 607 | assert numpy.allclose(testArray, 1 * testArray) |
---|
| 608 | if myid == 0: |
---|
| 609 | print "Broadcast communication of numeric real array OK" |
---|
| 610 | |
---|
| 611 | |
---|
| 612 | M = 13 |
---|
| 613 | testArray = myid * numpy.array(range(M*N)).astype('f') |
---|
| 614 | testArray = numpy.reshape(testArray, (M,N)) |
---|
| 615 | pypar.broadcast(testArray, 1) |
---|
| 616 | assert numpy.allclose(testArray, 1 * testArray) |
---|
| 617 | if myid == 0: |
---|
| 618 | print "Broadcast communication of 2D numeric real array OK" |
---|
| 619 | |
---|
| 620 | testArray = myid * numpy.array(range(M*2*N)).astype('f') |
---|
| 621 | testArray = numpy.reshape(testArray, (M,2,N)) |
---|
| 622 | pypar.broadcast(testArray, 1) |
---|
| 623 | assert numpy.allclose(testArray, 1 * testArray) |
---|
| 624 | if myid == 0: |
---|
| 625 | print "Broadcast communication of 3D numeric real array OK" |
---|
| 626 | |
---|
| 627 | testArray = myid * numpy.array(range(M*2*N)).astype('D') |
---|
| 628 | testArray = numpy.reshape(testArray, (M,2,N)) |
---|
| 629 | pypar.broadcast(testArray, 1) |
---|
| 630 | assert numpy.allclose(testArray, 1 * testArray) |
---|
| 631 | if myid == 0: |
---|
| 632 | print "Broadcast communication of 3D numeric complex array OK" |
---|
| 633 | |
---|
| 634 | |
---|
| 635 | A_x = ['ABC', myid, (1,2,3), {8: 'Monty'}, numpy.array([13.45, 1.2])] |
---|
| 636 | A_1 = ['ABC', 1, (1,2,3), {8: 'Monty'}, numpy.array([13.45, 1.2])] |
---|
| 637 | B = pypar.broadcast(A_x, 1) |
---|
| 638 | |
---|
| 639 | OK = True |
---|
| 640 | for i, a in enumerate(A_1): |
---|
| 641 | b = B[i] |
---|
| 642 | |
---|
| 643 | if type(a).__name__ == 'ndarray': |
---|
| 644 | if not numpy.allclose(a, b): |
---|
| 645 | OK = False |
---|
| 646 | break |
---|
| 647 | elif a != b: |
---|
| 648 | OK = False |
---|
| 649 | break |
---|
| 650 | |
---|
| 651 | if OK is False: |
---|
| 652 | raise Exception |
---|
| 653 | |
---|
| 654 | if myid == 0: |
---|
| 655 | print "Broadcast communication of general structures OK" |
---|
| 656 | |
---|
| 657 | |
---|
| 658 | |
---|
| 659 | |
---|
| 660 | # Test scatter - with/without buffers (arrays, strings) |
---|
| 661 | # |
---|
| 662 | N = 16 #Number of elements |
---|
| 663 | |
---|
| 664 | NP = N/numproc |
---|
| 665 | |
---|
| 666 | testString = 'ABCDEFGHIJKLMNOP' #Length = 16 |
---|
| 667 | X = ' '*NP |
---|
| 668 | |
---|
| 669 | #print 'P%d: s=%s, r=%s' %(myid, testString, X) |
---|
| 670 | #raw_scatter(testString, X, 2) |
---|
| 671 | #Y = pypar.scatter(testString, 2) |
---|
| 672 | |
---|
| 673 | |
---|
| 674 | #assert X==Y, 'X=%s, Y=%s' %(X,Y) |
---|
| 675 | #assert Y == testString[myid*NP:(myid+1)*NP] |
---|
| 676 | #assert X == testString[myid*NP:(myid+1)*NP] |
---|
| 677 | |
---|
| 678 | #if myid == 0: |
---|
| 679 | # print "Scatter communication of strings OK" |
---|
| 680 | |
---|
| 681 | |
---|
| 682 | #Scatter Arrays |
---|
| 683 | testArray = numpy.array(range(N)).astype('i') |
---|
| 684 | X = numpy.zeros(NP).astype('i') |
---|
| 685 | raw_scatter(testArray, X, 0) |
---|
| 686 | Y = pypar.scatter(testArray, 0) |
---|
| 687 | |
---|
| 688 | assert numpy.allclose(X, Y) |
---|
| 689 | assert numpy.allclose(X, testArray[myid*NP:(myid+1)*NP]) |
---|
| 690 | assert numpy.allclose(Y, testArray[myid*NP:(myid+1)*NP]) |
---|
| 691 | |
---|
| 692 | if myid == 0: |
---|
| 693 | print "Scatter communication of numeric integer array OK" |
---|
| 694 | |
---|
| 695 | |
---|
| 696 | testArray = numpy.array(range(N)).astype('f') |
---|
| 697 | X = numpy.zeros(NP).astype('f') |
---|
| 698 | raw_scatter(testArray, X, 0) |
---|
| 699 | |
---|
| 700 | Y = pypar.scatter(testArray, 0) |
---|
| 701 | |
---|
| 702 | assert numpy.allclose(X, Y) |
---|
| 703 | assert numpy.allclose(X, testArray[myid*NP:(myid+1)*NP]) |
---|
| 704 | assert numpy.allclose(Y, testArray[myid*NP:(myid+1)*NP]) |
---|
| 705 | |
---|
| 706 | if myid == 0: |
---|
| 707 | print "Scatter communication of numeric real arrays OK" |
---|
| 708 | #else: |
---|
| 709 | # print X, testArray, Y |
---|
| 710 | # assert numpy.allclose(X, Y) |
---|
| 711 | |
---|
| 712 | testArray = numpy.array(range(N)).astype('D') |
---|
| 713 | X = numpy.zeros(NP).astype('D') |
---|
| 714 | raw_scatter(testArray, X, 0) |
---|
| 715 | |
---|
| 716 | Y = pypar.scatter(testArray, 0) |
---|
| 717 | |
---|
| 718 | assert numpy.allclose(X, Y) |
---|
| 719 | assert numpy.allclose(X, testArray[myid*NP:(myid+1)*NP]) |
---|
| 720 | assert numpy.allclose(Y, testArray[myid*NP:(myid+1)*NP]) |
---|
| 721 | |
---|
| 722 | if myid == 0: |
---|
| 723 | print "Scatter communication of numeric complex array OK" |
---|
| 724 | |
---|
| 725 | |
---|
| 726 | ################################################### |
---|
| 727 | #FIXME: 2D scatter doesn't work yet |
---|
| 728 | # M = 16 |
---|
| 729 | # N = 13 |
---|
| 730 | # MP = M/numproc |
---|
| 731 | |
---|
| 732 | # testArray = numpy.array(range(M*N)).astype('D') |
---|
| 733 | # testArray = numpy.reshape(testArray, (M,N)) |
---|
| 734 | # X = numpy.zeros(MP*N).astype('D') |
---|
| 735 | # X = numpy.reshape(X, (MP,N)) |
---|
| 736 | |
---|
| 737 | # raw_scatter(testArray, X, 0) |
---|
| 738 | # Y = pypar.scatter(testArray, 0) |
---|
| 739 | |
---|
| 740 | # assert numpy.allclose(X, Y) |
---|
| 741 | # assert numpy.allclose(X, testArray[myid*MP:(myid+1)*MP,:]) |
---|
| 742 | # assert numpy.allclose(Y, testArray[myid*MP:(myid+1)*MP,:]) |
---|
| 743 | |
---|
| 744 | # if myid == 0: |
---|
| 745 | # print "Scatter communication of 2D numeric complex array OK" |
---|
| 746 | |
---|
| 747 | |
---|
| 748 | |
---|
| 749 | # Test gather - with/without buffers (arrays, strings) |
---|
| 750 | # |
---|
| 751 | N = 17 #Number of elements |
---|
| 752 | |
---|
| 753 | testString = 'AB' |
---|
| 754 | X = '_'*(len(testString)*numproc) #Blanks caused errors when numproc >= 6 |
---|
| 755 | raw_gather(testString, X, 0) |
---|
| 756 | |
---|
| 757 | Y = pypar.gather(testString, 0) |
---|
| 758 | |
---|
| 759 | if myid == 0: |
---|
| 760 | assert X == 'AB' * numproc |
---|
| 761 | assert Y == 'AB' * numproc |
---|
| 762 | print "Gather communication of strings OK" |
---|
| 763 | |
---|
| 764 | |
---|
| 765 | testArray = numpy.array(range(N)).astype('i') |
---|
| 766 | X = numpy.zeros(N*numproc).astype('i') |
---|
| 767 | raw_gather(testArray, X, 0) |
---|
| 768 | |
---|
| 769 | Y = pypar.gather(testArray, 0) |
---|
| 770 | |
---|
| 771 | if myid == 0: |
---|
| 772 | for i in range(numproc): |
---|
| 773 | assert numpy.allclose(testArray, X[(i * N): ((i+1)*N)]) |
---|
| 774 | |
---|
| 775 | assert numpy.allclose(X, Y) |
---|
| 776 | print "Gather communication of numeric integer array OK" |
---|
| 777 | |
---|
| 778 | |
---|
| 779 | testArray = numpy.array(range(N)).astype('f') |
---|
| 780 | X = numpy.zeros(N*numproc).astype('f') |
---|
| 781 | raw_gather(testArray, X, 0) |
---|
| 782 | |
---|
| 783 | Y = pypar.gather(testArray, 0) |
---|
| 784 | if myid == 0: |
---|
| 785 | for i in range(numproc): |
---|
| 786 | assert numpy.allclose(testArray, X[(i * N): ((i+1)*N)]) |
---|
| 787 | assert numpy.allclose(X, Y) |
---|
| 788 | print "Gather communication of numeric real array OK" |
---|
| 789 | |
---|
| 790 | |
---|
| 791 | testArray = numpy.array(range(N)).astype('D') |
---|
| 792 | X = numpy.zeros(N*numproc).astype('D') |
---|
| 793 | raw_gather(testArray, X, 0) |
---|
| 794 | |
---|
| 795 | Y = pypar.gather(testArray, 0) |
---|
| 796 | if myid == 0: |
---|
| 797 | for i in range(numproc): |
---|
| 798 | assert numpy.allclose(testArray, X[(i * N): ((i+1)*N)]) |
---|
| 799 | assert numpy.allclose(X, Y) |
---|
| 800 | print "Gather communication of numeric complex arrays OK" |
---|
| 801 | |
---|
| 802 | M = 13 |
---|
| 803 | testArray = numpy.array(range(M*N)).astype('D') |
---|
| 804 | testArray = numpy.reshape(testArray, (M,N)) |
---|
| 805 | X = numpy.zeros(M*N*numproc).astype('D') |
---|
| 806 | X = numpy.reshape(X, (M*numproc,N)) |
---|
| 807 | |
---|
| 808 | raw_gather(testArray, X, 0) |
---|
| 809 | |
---|
| 810 | Y = pypar.gather(testArray, 0) |
---|
| 811 | if myid == 0: |
---|
| 812 | for i in range(numproc): |
---|
| 813 | assert numpy.allclose(testArray, X[(i * M): ((i+1)*M), :]) |
---|
| 814 | assert numpy.allclose(X, Y) |
---|
| 815 | print "Gather communication of 2D numeric complex arrays OK" |
---|
| 816 | |
---|
| 817 | |
---|
| 818 | ######################################################## |
---|
| 819 | # Test reduce |
---|
| 820 | ####################################################### |
---|
| 821 | N = 17 #Number of elements |
---|
| 822 | |
---|
| 823 | # Create one (different) array on each processor |
---|
| 824 | # |
---|
| 825 | testArray = numpy.array(range(N)).astype('i') * (myid+1) |
---|
| 826 | #print testArray |
---|
| 827 | X = numpy.zeros(N).astype('i') # Buffer for results |
---|
| 828 | |
---|
| 829 | raw_reduce(testArray, X, pypar.SUM, 0) |
---|
| 830 | if myid == 0: |
---|
| 831 | Y = numpy.zeros(N).astype('i') |
---|
| 832 | for i in range(numproc): |
---|
| 833 | Y = Y+numpy.array(range(N)).astype('i')*(i+1) |
---|
| 834 | #print X |
---|
| 835 | #print Y |
---|
| 836 | assert numpy.allclose(X, Y) |
---|
| 837 | print "Raw reduce using pypar.SUM OK" |
---|
| 838 | |
---|
| 839 | raw_reduce(testArray, X, pypar.MAX, 0, 0) |
---|
| 840 | if myid == 0: |
---|
| 841 | Y = numpy.array(range(N))*numproc |
---|
| 842 | assert numpy.allclose(X, Y) |
---|
| 843 | print "Raw reduce using pypar.MAX OK" |
---|
| 844 | |
---|
| 845 | raw_reduce(testArray, X, pypar.MIN, 0, 0) |
---|
| 846 | if myid == 0: |
---|
| 847 | Y = numpy.array(range(N)) |
---|
| 848 | assert numpy.allclose(X, Y) |
---|
| 849 | print "Raw reduce using pypar.MIN OK" |
---|
| 850 | |
---|
| 851 | if numproc <= 20: |
---|
| 852 | testArray_float = testArray.astype('f') #Make room for big results |
---|
| 853 | X_float = X.astype('f') |
---|
| 854 | raw_reduce(testArray_float, X_float, pypar.PROD, 0, 0) |
---|
| 855 | if myid == 0: |
---|
| 856 | Y = numpy.ones(N).astype('f') |
---|
| 857 | for i in range(numproc): |
---|
| 858 | Y = Y*numpy.array(range(N))*(i+1) |
---|
| 859 | #print X_float |
---|
| 860 | #print Y |
---|
| 861 | assert numpy.allclose(X_float, Y) |
---|
| 862 | print "Raw reduce using pypar.PROD OK" |
---|
| 863 | else: |
---|
| 864 | if myid == 0: |
---|
| 865 | print "Skipping product-reduce - try again with numproc < 20" |
---|
| 866 | |
---|
| 867 | raw_reduce(testArray, X, pypar.LAND, 0, 0) |
---|
| 868 | if myid == 0: |
---|
| 869 | Y = numpy.ones(N).astype('i') |
---|
| 870 | for i in range(numproc): |
---|
| 871 | Y = numpy.logical_and(Y, numpy.array(range(N)).astype('i')*(i+1)) |
---|
| 872 | assert numpy.allclose(X, Y) |
---|
| 873 | print "Raw reduce using pypar.LAND OK" |
---|
| 874 | |
---|
| 875 | raw_reduce(testArray, X, pypar.BAND, 0, 0) |
---|
| 876 | if myid == 0: |
---|
| 877 | Y = numpy.ones(N).astype('i')*255 #Neutral element for & |
---|
| 878 | for i in range(numproc): |
---|
| 879 | Y = numpy.bitwise_and(Y, numpy.array(range(N))*(i+1)) |
---|
| 880 | assert numpy.allclose(X, Y) |
---|
| 881 | print "Raw reduce using pypar.BAND OK" |
---|
| 882 | |
---|
| 883 | raw_reduce(testArray, X, pypar.LOR, 0, 0) |
---|
| 884 | if myid == 0: |
---|
| 885 | Y = numpy.zeros(N).astype('i') |
---|
| 886 | for i in range(numproc): |
---|
| 887 | Y = numpy.logical_or(Y, numpy.array(range(N)).astype('i')*(i+1)) |
---|
| 888 | assert numpy.allclose(X, Y) |
---|
| 889 | print "Raw reduce using pypar.LOR OK" |
---|
| 890 | |
---|
| 891 | raw_reduce(testArray, X, pypar.BOR, 0, 0) |
---|
| 892 | if myid == 0: |
---|
| 893 | Y = numpy.zeros(N).astype('i') #Neutral element for | |
---|
| 894 | for i in range(numproc): |
---|
| 895 | Y = numpy.bitwise_or(Y, numpy.array(range(N)).astype('i')*(i+1)) |
---|
| 896 | assert numpy.allclose(X, Y) |
---|
| 897 | print "Raw reduce using pypar.BOR OK" |
---|
| 898 | |
---|
| 899 | raw_reduce(testArray, X, pypar.LXOR, 0, 0) |
---|
| 900 | if myid == 0: |
---|
| 901 | Y = numpy.zeros(N).astype('i') |
---|
| 902 | for i in range(numproc): |
---|
| 903 | Y = numpy.logical_xor(Y, numpy.array(range(N)).astype('i')*(i+1)) |
---|
| 904 | assert numpy.allclose(X, Y) |
---|
| 905 | print "Raw reduce using pypar.LXOR OK" |
---|
| 906 | |
---|
| 907 | raw_reduce(testArray, X, pypar.BXOR, 0, 0) |
---|
| 908 | if myid == 0: |
---|
| 909 | Y = numpy.zeros(N).astype('i') #Neutral element for xor ? |
---|
| 910 | for i in range(numproc): |
---|
| 911 | Y = numpy.bitwise_xor(Y, numpy.array(range(N)).astype('i')*(i+1)) |
---|
| 912 | assert numpy.allclose(X, Y) |
---|
| 913 | print "Raw reduce using pypar.BXOR OK" |
---|
| 914 | |
---|
| 915 | # NOT YET SUPPORTED |
---|
| 916 | # |
---|
| 917 | #raw_reduce(testArray, X, N, pypar.MAXLOC, 0, 0) |
---|
| 918 | #if myid == 0: |
---|
| 919 | # print 'MAXLOC', X |
---|
| 920 | #raw_reduce(testArray, X, N, pypar.MINLOC, 0, 0) |
---|
| 921 | #if myid == 0: |
---|
| 922 | # print 'MINLOC', X |
---|
| 923 | |
---|
| 924 | # |
---|
| 925 | # FIXME |
---|
| 926 | # Don't know how to test this (not available on all MPI systems) |
---|
| 927 | # |
---|
| 928 | #raw_reduce(testArray, X, N, pypar.REPLACE, 0, 0) |
---|
| 929 | #if myid == 0: |
---|
| 930 | # print 'REPLACE', X |
---|
| 931 | |
---|
| 932 | |
---|
| 933 | |
---|
| 934 | # Test status block (simple communication) |
---|
| 935 | N = 17 |
---|
| 936 | if myid == 0: |
---|
| 937 | # Integer arrays |
---|
| 938 | # |
---|
| 939 | A = numpy.array(range(N)).astype('i') |
---|
| 940 | |
---|
| 941 | pypar.send(A,1) |
---|
| 942 | B, status = pypar.receive(numproc-1, return_status = True) |
---|
| 943 | |
---|
| 944 | repr(status) # Check that status can be printed |
---|
| 945 | |
---|
| 946 | sz = A.itemsize |
---|
| 947 | assert numpy.allclose(A, B) |
---|
| 948 | assert len(B) == status.length, 'Reported length == %d should be %d'\ |
---|
| 949 | %(status.length, len(B)) |
---|
| 950 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 951 | %(status.size, sz) |
---|
| 952 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 953 | %(status.tag, pypar.default_tag) |
---|
| 954 | assert status.error == 0 |
---|
| 955 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 956 | %(status.source, numproc-1) |
---|
| 957 | |
---|
| 958 | print "Status object (numeric integer arrays) OK" |
---|
| 959 | |
---|
| 960 | # Real arrays |
---|
| 961 | # |
---|
| 962 | A = numpy.array(range(N)).astype('f') |
---|
| 963 | pypar.send(A,1) |
---|
| 964 | B, status = pypar.receive(numproc-1, return_status = True) |
---|
| 965 | |
---|
| 966 | sz = A.itemsize |
---|
| 967 | assert numpy.allclose(A, B) |
---|
| 968 | assert len(B) == status.length, 'Reported length == %d should be %d'\ |
---|
| 969 | %(status.length, len(B)) |
---|
| 970 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 971 | %(status.size, sz) |
---|
| 972 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 973 | %(status.tag, pypar.default_tag) |
---|
| 974 | assert status.error == 0 |
---|
| 975 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 976 | %(status.source, numproc-1) |
---|
| 977 | |
---|
| 978 | print "Status object (numeric real arrays) OK" |
---|
| 979 | |
---|
| 980 | # Strings |
---|
| 981 | # |
---|
| 982 | A = "and now to something completely different !" |
---|
| 983 | pypar.send(A,1) |
---|
| 984 | B, status = pypar.receive(numproc-1, return_status = True) |
---|
| 985 | |
---|
| 986 | sz = 1 #Characters are one byte long |
---|
| 987 | assert A == B |
---|
| 988 | assert len(B) == status.length, 'Reported length == %d should be %d'\ |
---|
| 989 | %(status.length, len(B)) |
---|
| 990 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 991 | %(status.size, sz) |
---|
| 992 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 993 | %(status.tag, pypar.default_tag) |
---|
| 994 | assert status.error == 0 |
---|
| 995 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 996 | %(status.source, numproc-1) |
---|
| 997 | |
---|
| 998 | print "Status object (strings) OK" |
---|
| 999 | |
---|
| 1000 | # A more general structure |
---|
| 1001 | # |
---|
| 1002 | A = ['ABC', (1,2,3.14), {8: 'Monty'}, numpy.array([13.45, 1.2])] |
---|
| 1003 | pypar.send(A,1) |
---|
| 1004 | B, status = pypar.receive(numproc-1, return_status = True) |
---|
| 1005 | |
---|
| 1006 | OK = True |
---|
| 1007 | for i, a in enumerate(A): |
---|
| 1008 | b = B[i] |
---|
| 1009 | |
---|
| 1010 | if type(a).__name__ == 'ndarray': |
---|
| 1011 | if not numpy.allclose(a, b): |
---|
| 1012 | OK = False |
---|
| 1013 | break |
---|
| 1014 | elif a != b: |
---|
| 1015 | OK = False |
---|
| 1016 | break |
---|
| 1017 | |
---|
| 1018 | if OK is True: |
---|
| 1019 | print 'Status object (more general structures) OK' |
---|
| 1020 | else: |
---|
| 1021 | raise Exception |
---|
| 1022 | |
---|
| 1023 | |
---|
| 1024 | #Length is the number of characters needed to encode the structure |
---|
| 1025 | #Can't think of a test. |
---|
| 1026 | |
---|
| 1027 | sz = 1 |
---|
| 1028 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 1029 | %(status.size, sz) |
---|
| 1030 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 1031 | %(status.tag, pypar.default_tag) |
---|
| 1032 | assert status.error == 0 |
---|
| 1033 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 1034 | %(status.source, numproc-1) |
---|
| 1035 | |
---|
| 1036 | print "Status object (general structures) OK" |
---|
| 1037 | |
---|
| 1038 | else: |
---|
| 1039 | # Integers |
---|
| 1040 | # |
---|
| 1041 | X=pypar.receive(myid-1) |
---|
| 1042 | pypar.send(X, (myid+1)%numproc) |
---|
| 1043 | |
---|
| 1044 | # Floats |
---|
| 1045 | # |
---|
| 1046 | X=pypar.receive(myid-1) |
---|
| 1047 | pypar.send(X, (myid+1)%numproc) |
---|
| 1048 | |
---|
| 1049 | # Strings |
---|
| 1050 | # |
---|
| 1051 | X=pypar.receive(myid-1) |
---|
| 1052 | pypar.send(X, (myid+1)%numproc) |
---|
| 1053 | |
---|
| 1054 | # General |
---|
| 1055 | # |
---|
| 1056 | X = pypar.receive(myid-1) |
---|
| 1057 | pypar.send(X, (myid+1)%numproc) |
---|
| 1058 | |
---|
| 1059 | |
---|
| 1060 | |
---|
| 1061 | |
---|
| 1062 | |
---|
| 1063 | |
---|
| 1064 | |
---|
| 1065 | |
---|
| 1066 | # Test status block (raw communication) |
---|
| 1067 | N = 17 #Number of elements |
---|
| 1068 | if myid == 0: |
---|
| 1069 | # Integer arrays |
---|
| 1070 | # |
---|
| 1071 | A = numpy.array(range(N)).astype('i') |
---|
| 1072 | B = numpy.zeros(N).astype('i') |
---|
| 1073 | raw_send(A,1) |
---|
| 1074 | B, status = raw_receive(B,numproc-1,return_status=True) |
---|
| 1075 | |
---|
| 1076 | assert numpy.allclose(A, B) |
---|
| 1077 | |
---|
| 1078 | sz = A.itemsize |
---|
| 1079 | assert numpy.allclose(A, B) |
---|
| 1080 | assert len(B) == status.length, 'Reported length == %d should be %d'\ |
---|
| 1081 | %(status.length, len(B)) |
---|
| 1082 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 1083 | %(status.size, sz) |
---|
| 1084 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 1085 | %(status.tag, pypar.default_tag) |
---|
| 1086 | assert status.error == 0 |
---|
| 1087 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 1088 | %(status.source, numproc-1) |
---|
| 1089 | |
---|
| 1090 | print "Status object (raw numeric integer arrays) OK" |
---|
| 1091 | |
---|
| 1092 | |
---|
| 1093 | # Real arrays |
---|
| 1094 | # |
---|
| 1095 | A = numpy.array(range(N)).astype('f') |
---|
| 1096 | B = numpy.zeros(N).astype('f') |
---|
| 1097 | raw_send(A,1) |
---|
| 1098 | B, status = raw_receive(B,numproc-1,return_status=True) |
---|
| 1099 | |
---|
| 1100 | assert numpy.allclose(A, B) |
---|
| 1101 | sz = A.itemsize |
---|
| 1102 | assert numpy.allclose(A, B) |
---|
| 1103 | assert len(B) == status.length, 'Reported length == %d should be %d'\ |
---|
| 1104 | %(status.length, len(B)) |
---|
| 1105 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 1106 | %(status.size, sz) |
---|
| 1107 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 1108 | %(status.tag, pypar.default_tag) |
---|
| 1109 | assert status.error == 0 |
---|
| 1110 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 1111 | %(status.source, numproc-1) |
---|
| 1112 | |
---|
| 1113 | print "Status object (raw numeric real arrays) OK" |
---|
| 1114 | |
---|
| 1115 | # Strings (< 256 characters) |
---|
| 1116 | # |
---|
| 1117 | A = "and now to something completely different !" |
---|
| 1118 | B = " "*len(A) |
---|
| 1119 | raw_send(A,1) |
---|
| 1120 | B, status = raw_receive(B,numproc-1,return_status=True) |
---|
| 1121 | |
---|
| 1122 | |
---|
| 1123 | sz = 1 #Characters are one byte long |
---|
| 1124 | assert A == B |
---|
| 1125 | assert len(B) == status.length, 'Reported length == %d should be %d'\ |
---|
| 1126 | %(status.length, len(B)) |
---|
| 1127 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 1128 | %(status.size, sz) |
---|
| 1129 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 1130 | %(status.tag, pypar.default_tag) |
---|
| 1131 | assert status.error == 0 |
---|
| 1132 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 1133 | %(status.source, numproc-1) |
---|
| 1134 | |
---|
| 1135 | print "Status object (raw strings) OK" |
---|
| 1136 | |
---|
| 1137 | |
---|
| 1138 | |
---|
| 1139 | # A more general structure |
---|
| 1140 | # |
---|
| 1141 | A = ['ABC', (1,2,3.14), {8: 'Monty'}, numpy.array([13.45, 1.2])] |
---|
| 1142 | B = [' ', (0,0,0.0), {0: ' '}, numpy.zeros(2).astype('f')] |
---|
| 1143 | raw_send(A,1) |
---|
| 1144 | B, status = raw_receive(B,numproc-1, return_status=True) |
---|
| 1145 | |
---|
| 1146 | |
---|
| 1147 | #assert A == B |
---|
| 1148 | sz = 1 |
---|
| 1149 | assert status.size == sz, 'Reported size == %d should be %d'\ |
---|
| 1150 | %(status.size, sz) |
---|
| 1151 | assert status.tag == pypar.default_tag, 'Reported tag == %d should be %d'\ |
---|
| 1152 | %(status.tag, pypar.default_tag) |
---|
| 1153 | assert status.error == 0 |
---|
| 1154 | assert status.source == numproc-1, 'Reported source == %d should be %d'\ |
---|
| 1155 | %(status.source, numproc-1) |
---|
| 1156 | |
---|
| 1157 | |
---|
| 1158 | print "Status object (raw general structures) OK" |
---|
| 1159 | |
---|
| 1160 | |
---|
| 1161 | else: |
---|
| 1162 | # Integers |
---|
| 1163 | # |
---|
| 1164 | X = numpy.zeros(N).astype('i') |
---|
| 1165 | raw_receive(X, myid-1) |
---|
| 1166 | raw_send(X, (myid+1)%numproc) |
---|
| 1167 | |
---|
| 1168 | # Floats |
---|
| 1169 | # |
---|
| 1170 | X = numpy.zeros(N).astype('f') |
---|
| 1171 | raw_receive(X, myid-1) |
---|
| 1172 | raw_send(X, (myid+1)%numproc) |
---|
| 1173 | |
---|
| 1174 | |
---|
| 1175 | # Strings |
---|
| 1176 | # |
---|
| 1177 | X = " "*256 |
---|
| 1178 | X = raw_receive(X, myid-1) |
---|
| 1179 | raw_send(X.strip(), (myid+1)%numproc) |
---|
| 1180 | |
---|
| 1181 | # General |
---|
| 1182 | # |
---|
| 1183 | X = [' ', (0,0,0.0), {0: ' '}, numpy.zeros(2).astype('f')] |
---|
| 1184 | X = raw_receive(X, myid-1) |
---|
| 1185 | raw_send(X, (myid+1)%numproc) |
---|
| 1186 | |
---|
| 1187 | |
---|
| 1188 | |
---|
| 1189 | pypar.finalize() |
---|
| 1190 | |
---|
| 1191 | |
---|
| 1192 | |
---|
| 1193 | |
---|