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@@ -1,170 +1,167 b'' | |||
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1 | 1 | # encoding: utf-8 |
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2 | 2 | |
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3 | 3 | """Classes used in scattering and gathering sequences. |
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4 | 4 | |
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5 | 5 | Scattering consists of partitioning a sequence and sending the various |
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6 | 6 | pieces to individual nodes in a cluster. |
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7 | 7 | |
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8 | 8 | |
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9 | 9 | Authors: |
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10 | 10 | |
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11 | 11 | * Brian Granger |
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12 | 12 | * MinRK |
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13 | 13 | |
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14 | 14 | """ |
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15 | 15 | |
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16 | 16 | #------------------------------------------------------------------------------- |
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17 | 17 | # Copyright (C) 2008-2011 The IPython Development Team |
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18 | 18 | # |
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19 | 19 | # Distributed under the terms of the BSD License. The full license is in |
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20 | 20 | # the file COPYING, distributed as part of this software. |
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21 | 21 | #------------------------------------------------------------------------------- |
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22 | 22 | |
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23 | 23 | #------------------------------------------------------------------------------- |
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24 | 24 | # Imports |
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25 | 25 | #------------------------------------------------------------------------------- |
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26 | 26 | |
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27 | 27 | from __future__ import division |
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28 | 28 | |
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29 | 29 | import types |
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30 | 30 | from itertools import islice |
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31 | 31 | |
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32 | 32 | from IPython.utils.data import flatten as utils_flatten |
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33 | 33 | |
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34 | 34 | #------------------------------------------------------------------------------- |
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35 | 35 | # Figure out which array packages are present and their array types |
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36 | 36 | #------------------------------------------------------------------------------- |
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37 | 37 | |
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38 | 38 | arrayModules = [] |
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39 | 39 | try: |
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40 | 40 | import Numeric |
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41 | 41 | except ImportError: |
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42 | 42 | pass |
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43 | 43 | else: |
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44 | 44 | arrayModules.append({'module':Numeric, 'type':Numeric.arraytype}) |
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45 | 45 | try: |
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46 | 46 | import numpy |
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47 | 47 | except ImportError: |
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48 | 48 | pass |
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49 | 49 | else: |
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50 | 50 | arrayModules.append({'module':numpy, 'type':numpy.ndarray}) |
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51 | 51 | try: |
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52 | 52 | import numarray |
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53 | 53 | except ImportError: |
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54 | 54 | pass |
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55 | 55 | else: |
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56 | 56 | arrayModules.append({'module':numarray, |
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57 | 57 | 'type':numarray.numarraycore.NumArray}) |
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58 | 58 | |
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59 | 59 | class Map(object): |
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60 | 60 | """A class for partitioning a sequence using a map.""" |
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61 | 61 | |
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62 | def getPartition(self, seq, p, q): | |
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63 |
"""Returns the pth partition of q partitions of seq. |
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62 | def getPartition(self, seq, p, q, n=None): | |
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63 | """Returns the pth partition of q partitions of seq. | |
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64 | 64 |
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65 | The length can be specified as `n`, | |
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66 | otherwise it is the value of `len(seq)` | |
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67 | """ | |
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68 | n = len(seq) if n is None else n | |
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65 | 69 | # Test for error conditions here |
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66 | 70 | if p<0 or p>=q: |
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67 | print "No partition exists." | |
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68 | return | |
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71 | raise ValueError("must have 0 <= p <= q, but have p=%s,q=%s" % (p, q)) | |
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69 | 72 | |
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70 | N = len(seq) | |
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71 |
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72 | basesize = N // q | |
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73 | remainder = n % q | |
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74 | basesize = n // q | |
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73 | 75 | |
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74 | 76 | if p < remainder: |
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75 | 77 | low = p * (basesize + 1) |
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76 | 78 | high = low + basesize + 1 |
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77 | 79 | else: |
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78 | 80 | low = p * basesize + remainder |
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79 | 81 | high = low + basesize |
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80 | 82 | |
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81 | 83 | try: |
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82 | 84 | result = seq[low:high] |
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83 | 85 | except TypeError: |
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84 | 86 | # some objects (iterators) can't be sliced, |
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85 | 87 | # use islice: |
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86 | 88 | result = list(islice(seq, low, high)) |
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87 | 89 | |
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88 | 90 | return result |
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89 | 91 | |
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90 | 92 | def joinPartitions(self, listOfPartitions): |
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91 | 93 | return self.concatenate(listOfPartitions) |
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92 | 94 | |
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93 | 95 | def concatenate(self, listOfPartitions): |
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94 | 96 | testObject = listOfPartitions[0] |
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95 | 97 | # First see if we have a known array type |
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96 | 98 | for m in arrayModules: |
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97 | 99 | #print m |
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98 | 100 | if isinstance(testObject, m['type']): |
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99 | 101 | return m['module'].concatenate(listOfPartitions) |
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100 | 102 | # Next try for Python sequence types |
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101 | 103 | if isinstance(testObject, (types.ListType, types.TupleType)): |
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102 | 104 | return utils_flatten(listOfPartitions) |
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103 | 105 | # If we have scalars, just return listOfPartitions |
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104 | 106 | return listOfPartitions |
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105 | 107 | |
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106 | 108 | class RoundRobinMap(Map): |
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107 | """Partitions a sequence in a roun robin fashion. | |
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109 | """Partitions a sequence in a round robin fashion. | |
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108 | 110 | |
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109 | 111 | This currently does not work! |
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110 | 112 | """ |
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111 | 113 | |
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112 | def getPartition(self, seq, p, q): | |
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113 | # if not isinstance(seq,(list,tuple)): | |
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114 | # raise NotImplementedError("cannot RR partition type %s"%type(seq)) | |
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115 | return seq[p:len(seq):q] | |
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116 | #result = [] | |
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117 | #for i in range(p,len(seq),q): | |
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118 | # result.append(seq[i]) | |
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119 | #return result | |
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114 | def getPartition(self, seq, p, q, n=None): | |
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115 | n = len(seq) if n is None else n | |
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116 | return seq[p:n:q] | |
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120 | 117 | |
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121 | 118 | def joinPartitions(self, listOfPartitions): |
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122 | 119 | testObject = listOfPartitions[0] |
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123 | 120 | # First see if we have a known array type |
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124 | 121 | for m in arrayModules: |
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125 | 122 | #print m |
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126 | 123 | if isinstance(testObject, m['type']): |
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127 | 124 | return self.flatten_array(m['type'], listOfPartitions) |
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128 | 125 | if isinstance(testObject, (types.ListType, types.TupleType)): |
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129 | 126 | return self.flatten_list(listOfPartitions) |
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130 | 127 | return listOfPartitions |
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131 | 128 | |
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132 | 129 | def flatten_array(self, klass, listOfPartitions): |
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133 | 130 | test = listOfPartitions[0] |
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134 | 131 | shape = list(test.shape) |
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135 | 132 | shape[0] = sum([ p.shape[0] for p in listOfPartitions]) |
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136 | 133 | A = klass(shape) |
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137 | 134 | N = shape[0] |
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138 | 135 | q = len(listOfPartitions) |
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139 | 136 | for p,part in enumerate(listOfPartitions): |
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140 | 137 | A[p:N:q] = part |
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141 | 138 | return A |
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142 | 139 | |
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143 | 140 | def flatten_list(self, listOfPartitions): |
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144 | 141 | flat = [] |
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145 | 142 | for i in range(len(listOfPartitions[0])): |
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146 | 143 | flat.extend([ part[i] for part in listOfPartitions if len(part) > i ]) |
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147 | 144 | return flat |
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148 | 145 | #lengths = [len(x) for x in listOfPartitions] |
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149 | 146 | #maxPartitionLength = len(listOfPartitions[0]) |
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150 | 147 | #numberOfPartitions = len(listOfPartitions) |
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151 | 148 | #concat = self.concatenate(listOfPartitions) |
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152 | 149 | #totalLength = len(concat) |
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153 | 150 | #result = [] |
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154 | 151 | #for i in range(maxPartitionLength): |
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155 | 152 | # result.append(concat[i:totalLength:maxPartitionLength]) |
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156 | 153 | # return self.concatenate(listOfPartitions) |
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157 | 154 | |
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158 | 155 | def mappable(obj): |
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159 | 156 | """return whether an object is mappable or not.""" |
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160 | 157 | if isinstance(obj, (tuple,list)): |
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161 | 158 | return True |
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162 | 159 | for m in arrayModules: |
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163 | 160 | if isinstance(obj,m['type']): |
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164 | 161 | return True |
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165 | 162 | return False |
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166 | 163 | |
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167 | 164 | dists = {'b':Map,'r':RoundRobinMap} |
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168 | 165 | |
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169 | 166 | |
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170 | 167 |
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