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)) |
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509 | |
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510 | pypar.send(A,1) |
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511 | B=pypar.receive(numproc-1) |
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512 | |
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513 | assert numpy.allclose(A, B) |
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514 | print "Simplified communication of 4D real arrays OK" |
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515 | |
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516 | # 5D real arrays |
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517 | # |
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518 | A = numpy.array(range(M*N*2*N*M)).astype('f') |
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519 | A = numpy.reshape(A, (M,N,2,N,M)) |
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520 | |
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521 | pypar.send(A,1) |
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522 | B=pypar.receive(numproc-1) |
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523 | |
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524 | assert numpy.allclose(A, B) |
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525 | print "Simplified communication of 5D real arrays OK" |
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526 | |
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527 | # 5D double arrays |
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528 | # |
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529 | A = numpy.array(range(M*N*2*N*M)).astype('d') |
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530 | A = numpy.reshape(A, (M,N,2,N,M)) |
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531 | |
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532 | pypar.send(A,1) |
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533 | B=pypar.receive(numproc-1) |
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534 | |
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535 | assert numpy.allclose(A, B) |
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536 | print "Simplified communication of 5D double arrays OK" |
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537 | |
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538 | # 5D complex arrays |
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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 | |
---|