Mercurial > pylearn
annotate doc/v2_planning/arch_src/plugin_JB.py @ 1219:9fac28d80fb7
plugin_JB - removed FILT and BUFFER_REPEAT, added Registers
author | James Bergstra <bergstrj@iro.umontreal.ca> |
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date | Wed, 22 Sep 2010 13:31:31 -0400 |
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1 """plugin_JB - draft of potential library architecture using iterators |
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2 |
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3 This strategy makes use of a simple imperative language whose statements are python function |
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4 calls to create learning algorithms that can be manipulated and executed in several desirable |
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5 ways. |
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6 |
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7 The training procedure for a PCA module is easy to express: |
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8 |
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9 # allocate the relevant modules |
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10 dataset = Dataset(numpy.random.RandomState(123).randn(13,1)) |
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11 pca = PCA_Analysis() |
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12 pca_batchsize=1000 |
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13 |
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14 reg = Registers() |
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15 |
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16 # define the control-flow of the algorithm |
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17 train_pca = SEQ([ |
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18 REPEAT(pca_batchsize, CALL(dataset.next, store_to=reg('x'))), |
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19 CALL(pca.analyze, reg('x'))]) |
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20 |
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21 # run the program |
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22 train_pca.run() |
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23 |
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24 The CALL, SEQ, and REPEAT are control-flow elements. The control-flow elements I |
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25 defined so far are: |
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26 |
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27 - CALL - a basic statement, just calls a python function |
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28 - SEQ - a sequence of elements to run in order |
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29 - REPEAT - do something N times (and return None or maybe the last CALL?) |
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30 - LOOP - do something an infinite number of times |
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31 - CHOOSE - like a switch statement (should rename to SWITCH) |
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32 - WEAVE - interleave execution of multiple control-flow elements |
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33 - POPEN - launch a process and return its status when it's complete |
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34 - PRINT - a shortcut for CALL(print_obj) |
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35 - SPAWN - run a program fragment asynchronously in another process |
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36 |
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37 |
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38 We don't have many requirements per-se for the architecture, but I think this design respects |
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39 and realizes all of them. |
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40 The advantages of this approach are: |
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41 |
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42 - algorithms (including partially run ones) are COPYABLE, and SERIALIZABLE |
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43 |
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44 - algorithms can be executed without seizing control of the python process (the run() |
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45 method does this, but if you look inside it you'll see it's a simple for loop) |
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46 |
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47 - it is easy to execute an algorithm step by step in a main loop that also checks for |
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48 network or filesystem events related to e.g. job management. |
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49 |
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50 - the library can provide learning algorithms via control-flow templates, and the user can |
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51 edit them (with search/replace calls) to include HOOKS, and DIAGNOSTIC plug-in |
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52 functionality |
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53 |
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54 e.g. prog.find(CALL(cd1_update, layer=layer1)).replace_with( |
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55 SEQ([CALL(cd1_update, layer=layer1), CALL(my_debugfn)])) |
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56 |
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57 - user can print the 'program code' of an algorithm built from library pieces |
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58 |
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59 - program can be optimized automatically. |
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60 |
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61 - e.g. BUFFER(N, CALL(dataset.next)) could be replaced if dataset.next implements the |
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62 right attribute/protocol for 'bufferable' or something. |
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63 |
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64 - e.g. SEQ([a,b,c,d]) could be compiled to a single CALL to a Theano-compiled function |
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65 if a, b, c, and d are calls to callable objects that export something like a |
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66 'theano_SEQ' interface |
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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 __license__ = 'TODO' |
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72 __copyright__ = 'TODO' |
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73 |
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74 import cPickle, copy, os, subprocess, sys, time |
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75 import numpy |
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76 |
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77 #################################################### |
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78 # CONTROL-FLOW CONSTRUCTS |
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79 |
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80 class INCOMPLETE: |
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81 """Return value for Element.step""" |
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82 |
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83 class ELEMENT(object): |
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84 """ |
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85 Base class for control flow elements (e.g. CALL, REPEAT, etc.) |
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86 |
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87 The design is that every element has a driver, that is another element, or the iterator |
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88 implementation in the ELEMENT class. |
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89 |
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90 the driver calls start when entering a new control element |
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91 - this would be called once per e.g. outer loop iteration |
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92 |
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93 the driver calls step to advance the control element |
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94 - which returns INCOMPLETE |
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95 - which returns any other object to indicate completion |
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96 """ |
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97 |
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98 # subclasses should override these methods: |
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99 def start(self): |
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100 pass |
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101 def step(self): |
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102 pass |
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103 |
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104 # subclasses should typically not override these: |
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105 def run(self, n_steps=float('inf')): |
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106 self.start() |
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107 i = 0 |
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108 r = self.step() |
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109 while r is INCOMPLETE: |
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110 i += 1 |
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111 #TODO make sure there is not an off-by-one error |
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112 if i > n_steps: |
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113 break |
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114 r = self.step() |
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115 return r |
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116 |
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117 class BUFFER_REPEAT(ELEMENT): |
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118 """ |
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119 Accumulate a number of return values into one list / array. |
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120 |
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121 The source of return values `src` is a control element that will be restarted repeatedly in |
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122 order to fulfil the requiement of gathering N samples. |
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123 |
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124 TODO: support accumulating of tuples of arrays |
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125 """ |
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126 def __init__(self, N, src, storage=None): |
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127 """ |
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128 TODO: use preallocated `storage` |
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129 """ |
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130 self.N = N |
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131 self.n = 0 |
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132 self.src = src |
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133 self.storage = storage |
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134 self.src.start(None) |
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135 if self.storage != None: |
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136 raise NotImplementedError() |
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137 def start(self, arg): |
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138 self.buf = [None] * self.N |
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139 self.n = 0 |
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140 self.finished = False |
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141 def step(self): |
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142 assert not self.finished |
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143 r = self.src.step() |
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144 if r is INCOMPLETE: |
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145 return r |
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146 self.src.start(None) # restart our stream |
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147 self.buf[self.n] = r |
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148 self.n += 1 |
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149 if self.n == self.N: |
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150 self.finished = True |
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151 return self.buf |
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152 else: |
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153 return INCOMPLETE |
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154 assert 0 |
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155 |
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156 class CALL(ELEMENT): |
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157 """ |
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158 Control flow terminal - call a python function or method. |
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159 |
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160 Returns the return value of the call. |
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161 """ |
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162 def __init__(self, fn, *args, **kwargs): |
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163 self.fn = fn |
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164 self.args = args |
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165 self.kwargs=kwargs |
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166 def start(self): |
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167 self.finished = False |
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168 return self |
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169 def step(self): |
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170 assert not self.finished |
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171 self.finished = True |
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172 fn_rval = self.fn(*self.lookup_args(), **self.lookup_kwargs()) |
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173 if '_set' in self.kwargs: |
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174 self.kwargs['_set'].set(fn_rval) |
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175 def __getstate__(self): |
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176 rval = dict(self.__dict__) |
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177 if type(self.fn) is type(self.step): #instancemethod |
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178 fn = rval.pop('fn') |
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179 rval['i fn'] = fn.im_func, fn.im_self, fn.im_class |
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180 return rval |
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181 def __setstate__(self, dct): |
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182 if 'i fn' in dct: |
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183 dct['fn'] = type(self.step)(*dct.pop('i fn')) |
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184 self.__dict__.update(dct) |
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185 |
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186 def lookup_args(self): |
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187 rval = [] |
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188 for a in self.args: |
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189 if isinstance(a, Register): |
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190 rval.append(a.get()) |
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191 else: |
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192 rval.append(a) |
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193 return rval |
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194 def lookup_kwargs(self): |
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195 rval = {} |
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196 for k,v in self.kwargs.iteritems(): |
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197 if k == '_set': |
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198 continue |
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199 if isinstance(v, Register): |
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200 rval[k] = v.get() |
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201 else: |
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202 rval[k] = v |
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203 return rval |
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204 |
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205 def CHOOSE(which, options): |
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206 """ |
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207 Execute one out of a number of optional control flow paths |
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208 """ |
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209 raise NotImplementedError() |
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210 |
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211 def LOOP(element): |
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212 #TODO: implement a true infinite loop |
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213 return REPEAT(sys.maxint, element) |
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214 |
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215 class REPEAT(ELEMENT): |
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216 def __init__(self, N, element, counter=None): |
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217 self.N = N |
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218 if not isinstance(element, ELEMENT): |
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219 raise TypeError(element) |
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220 self.element = element |
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221 self.counter = counter |
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222 |
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223 #TODO: check for N being callable |
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224 def start(self): |
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225 self.n = 0 #loop iteration |
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226 self.finished = False |
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227 self.element.start() |
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228 if self.counter: |
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229 self.counter.set(0) |
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230 |
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231 def step(self): |
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232 assert not self.finished |
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233 r = self.element.step() |
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234 if r is INCOMPLETE: |
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235 return INCOMPLETE |
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236 self.n += 1 |
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237 if self.counter: |
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238 self.counter.set(self.n) |
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239 if self.n < self.N: |
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240 self.element.start() |
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241 return INCOMPLETE |
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242 else: |
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243 self.finished = True |
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244 return r |
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245 |
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246 class SEQ(ELEMENT): |
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247 def __init__(self, elements): |
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248 self.elements = list(elements) |
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249 def start(self): |
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250 if len(self.elements): |
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251 self.elements[0].start() |
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252 self.pos = 0 |
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253 self.finished = False |
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254 def step(self): |
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255 if self.pos == len(self.elements): |
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256 self.finished=True |
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257 return |
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258 r = self.elements[self.pos].step() |
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259 if r is INCOMPLETE: |
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260 return r |
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261 self.pos += 1 |
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262 if self.pos < len(self.elements): |
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263 self.elements[self.pos].start() |
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264 return INCOMPLETE |
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265 |
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266 class WEAVE(ELEMENT): |
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267 """ |
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268 Interleave execution of a number of elements. |
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269 |
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270 TODO: allow a schedule (at least relative frequency) of elements from each program |
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271 """ |
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272 def __init__(self, n_required, elements): |
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273 self.elements = elements |
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274 if n_required == -1: |
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275 self.n_required = len(elements) |
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276 else: |
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277 self.n_required = n_required |
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278 def start(self): |
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279 for el in self.elements: |
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280 el.start() |
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281 self.elem_finished = [0] * len(self.elements) |
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282 self.idx = 0 |
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283 self.finished= False |
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284 def step(self): |
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285 assert not self.finished # if this is triggered, we have a broken driver |
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286 |
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287 #start with this check in case there were no elements |
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288 # it's possible for the number of finished elements to exceed the threshold |
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289 if sum(self.elem_finished) >= self.n_required: |
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290 self.finished = True |
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291 return None |
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292 |
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293 # step the active element |
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294 r = self.elements[self.idx].step() |
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295 |
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296 if r is not INCOMPLETE: |
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297 self.elem_finished[self.idx] = True |
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298 |
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299 # check for completion |
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300 if sum(self.elem_finished) >= self.n_required: |
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301 self.finished = True |
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302 return None |
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303 |
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304 # advance to the next un-finished element |
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305 self.idx = (self.idx+1) % len(self.elements) |
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306 while self.elem_finished[self.idx]: |
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307 self.idx = (self.idx+1) % len(self.elements) |
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308 |
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309 return INCOMPLETE |
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310 |
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311 class POPEN(ELEMENT): |
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312 def __init__(self, args): |
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313 self.args = args |
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314 def start(self): |
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315 self.p = subprocess.Popen(self.args) |
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316 def step(self): |
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317 r = self.p.poll() |
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318 if r is None: |
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319 return INCOMPLETE |
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320 return r |
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321 |
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322 def PRINT(obj): |
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323 return CALL(print_obj, obj) |
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324 |
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325 class SPAWN(ELEMENT): |
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326 SUCCESS = 0 |
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327 def __init__(self, data, prog): |
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328 self.data = data |
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329 self.prog = prog |
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330 def start(self): |
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331 # pickle the (data, prog) pair |
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332 s = cPickle.dumps((self.data, self.prog)) |
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333 |
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334 # call python with a stub function that |
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335 # unpickles the data, prog pair and starts running the prog |
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336 self.rpipe, wpipe = os.pipe() |
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337 code = 'import sys, plugin_JB; sys.exit(plugin_JB.SPAWN._main(%i))'%wpipe |
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338 self.p = subprocess.Popen( |
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339 ['python', '-c', code], |
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340 stdin=subprocess.PIPE) |
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341 # send the data and prog to the other process |
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342 self.p.stdin.write(s) |
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343 self.finished= False |
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344 |
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345 #TODO: send over tgz of the modules this code needs |
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346 |
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347 #TODO: When the client process is on a different machine, negotiate with the client |
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348 # process to determine which modules it needs, and send over the code for pure python |
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349 # ones. Make sure versions match for non-pure python ones. |
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350 |
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351 def step(self): |
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352 assert not self.finished |
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353 r = self.p.poll() |
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354 if r is None: |
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355 return INCOMPLETE # typical exit case |
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356 self.finished = True |
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357 if r != self.SUCCESS: |
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358 print "UH OH", r # TODO - ??? |
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359 rfile = os.fdopen(self.rpipe) |
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360 # recv the revised of the data dictionary |
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361 data = cPickle.load(rfile) |
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362 # modify the data dict in-place |
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363 # for new values to be visible to other components |
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364 self.data.update(data) |
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365 rfile.close() |
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366 #TODO: return something meaningful? like r? |
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367 return None |
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368 |
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369 @staticmethod |
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370 def _main(wpipe): |
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371 #TODO: unpack and install tgz of the modules this code needs |
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372 data, prog = cPickle.load(sys.stdin) |
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373 rval = prog.run() |
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374 os.write(wpipe, cPickle.dumps(data)) |
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375 return SPAWN.SUCCESS |
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376 #os.close(wpipe) |
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377 |
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378 class Register(object): |
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379 def __init__(self, registers, key): |
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380 self.registers = registers |
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381 self.key = key |
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382 def set(self, val): |
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383 self.registers[self.key] = val |
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384 def get(self): |
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385 return self.registers[self.key] |
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386 class Registers(dict): |
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387 def __call__(self, key): |
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388 return Register(self, key) |
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389 |
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390 def print_obj(obj): |
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391 print obj |
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392 def print_obj_attr(obj, attr): |
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393 print getattr(obj, attr) |
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394 def no_op(*args, **kwargs): |
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395 pass |
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396 |
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397 def importable_fn(d): |
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398 d['new key'] = len(d) |
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399 |
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400 |
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401 if __name__ == '__main__': |
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402 print 'this is the library file, run "python plugin_JB_main.py"' |