1 | import time |
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2 | from calcthread import CalcThread |
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3 | import sys |
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4 | |
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5 | class Calc2D_all(CalcThread): |
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6 | """ |
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7 | Compute 2D model |
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8 | This calculation assumes a 2-fold symmetry of the model |
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9 | where points are computed for one half of the detector |
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10 | and I(qx, qy) = I(-qx, -qy) is assumed. |
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11 | """ |
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12 | |
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13 | def __init__(self, x, y, model, |
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14 | completefn = None, |
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15 | updatefn = None, |
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16 | yieldtime = 0.01, |
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17 | worktime = 0.01 |
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18 | ): |
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19 | CalcThread.__init__(self,completefn, |
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20 | updatefn, |
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21 | yieldtime, |
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22 | worktime) |
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23 | |
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24 | self.x = x |
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25 | self.y = y |
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26 | self.model = model |
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27 | self.starttime = 0 |
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28 | |
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29 | def isquit(self): |
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30 | try: |
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31 | CalcThread.isquit(self) |
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32 | except KeyboardInterrupt: |
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33 | wx.PostEvent(self.parent, StatusEvent(status=\ |
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34 | "Calc %s interrupted" % self.model.name)) |
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35 | raise KeyboardInterrupt |
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36 | |
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37 | def compute(self): |
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38 | import numpy |
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39 | x = self.x |
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40 | y = self.y |
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41 | output = numpy.zeros((len(x),len(y))) |
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42 | |
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43 | self.starttime = time.time() |
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44 | lx = len(self.x) |
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45 | |
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46 | #for i_x in range(int(len(self.x)/2)): |
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47 | for i_x in range(len(self.x)): |
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48 | if i_x%2==1: |
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49 | continue |
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50 | |
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51 | # Check whether we need to bail out |
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52 | self.update(output=output) |
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53 | self.isquit() |
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54 | |
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55 | for i_y in range(len(self.y)): |
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56 | value = self.model.runXY([self.x[i_x], self.y[i_y]]) |
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57 | output[i_y][i_x] = value |
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58 | #output[lx-i_y-1][lx-i_x-1] = value |
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59 | |
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60 | if lx%2==1: |
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61 | i_x = int(len(self.x)/2) |
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62 | for i_y in range(len(self.y)): |
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63 | value = self.model.runXY([self.x[i_x], self.y[i_y]]) |
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64 | output[i_y][i_x] = value |
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65 | |
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66 | #for i_x in range(int(len(self.x)/2)): |
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67 | for i_x in range(len(self.x)): |
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68 | if not i_x%2==1: |
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69 | continue |
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70 | |
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71 | # Check whether we need to bail out |
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72 | self.update(output=output) |
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73 | self.isquit() |
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74 | |
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75 | for i_y in range(len(self.y)): |
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76 | value = self.model.runXY([self.x[i_x], self.y[i_y]]) |
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77 | output[i_y][i_x] = value |
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78 | #output[lx-i_y-1][lx-i_x-1] = value |
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79 | |
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80 | elapsed = time.time()-self.starttime |
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81 | self.complete(output=output, elapsed=elapsed) |
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82 | |
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83 | |
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84 | class Calc2D(CalcThread): |
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85 | """ |
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86 | Compute 2D model |
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87 | This calculation assumes a 2-fold symmetry of the model |
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88 | where points are computed for one half of the detector |
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89 | and I(qx, qy) = I(-qx, -qy) is assumed. |
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90 | """ |
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91 | |
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92 | def __init__(self, x, y, data,model,qmin, qmax,qstep, |
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93 | completefn = None, |
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94 | updatefn = None, |
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95 | yieldtime = 0.01, |
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96 | worktime = 0.01 |
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97 | ): |
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98 | CalcThread.__init__(self,completefn, |
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99 | updatefn, |
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100 | yieldtime, |
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101 | worktime) |
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102 | self.qmin= qmin |
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103 | self.qmax= qmax |
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104 | self.qstep= qstep |
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105 | self.x = x |
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106 | self.y = y |
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107 | self.data= data |
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108 | ## the model on to calculate |
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109 | self.model = model |
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110 | self.starttime = 0 |
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111 | |
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112 | |
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113 | def isquit(self): |
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114 | try: |
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115 | CalcThread.isquit(self) |
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116 | except KeyboardInterrupt: |
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117 | wx.PostEvent(self.parent, StatusEvent(status=\ |
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118 | "Calc %s interrupted" % self.model.name)) |
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119 | |
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120 | raise KeyboardInterrupt |
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121 | |
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122 | |
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123 | def compute(self): |
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124 | """ |
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125 | Compute the data given a model function |
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126 | """ |
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127 | import numpy |
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128 | x = self.x |
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129 | y = self.y |
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130 | output = numpy.zeros((len(x),len(y))) |
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131 | |
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132 | if self.qmin==None: |
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133 | self.qmin = 0 |
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134 | if self.qmax== None: |
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135 | if data ==None: |
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136 | return |
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137 | newx= math.pow(max(math.fabs(data.xmax),math.fabs(data.xmin)),2) |
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138 | newy= math.pow(max(math.fabs(data.ymax),math.fabs(data.ymin)),2) |
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139 | self.qmax=math.sqrt( newx + newy ) |
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140 | |
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141 | self.starttime = time.time() |
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142 | |
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143 | lx = len(self.x) |
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144 | for i_x in range(len(self.x)): |
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145 | # Check whether we need to bail out |
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146 | self.update(output=output ) |
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147 | self.isquit() |
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148 | |
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149 | for i_y in range(int(len(self.y))): |
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150 | radius = self.x[i_x]*self.x[i_x]+self.y[i_y]*self.y[i_y] |
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151 | |
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152 | if self.qmin <= radius or radius<= self.qmax: |
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153 | value = self.model.runXY( [self.x[i_x], self.y[i_y]] ) |
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154 | output[i_x] [i_y]=value |
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155 | else: |
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156 | output[i_x] [i_y]=0 |
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157 | |
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158 | elapsed = time.time()-self.starttime |
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159 | self.complete( image = output, |
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160 | data = self.data , |
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161 | model = self.model, |
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162 | elapsed = elapsed, |
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163 | qmin = self.qmin, |
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164 | qmax =self.qmax, |
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165 | qstep = self.qstep ) |
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166 | |
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167 | |
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168 | class Calc2D_4fold(CalcThread): |
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169 | """ |
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170 | Compute 2D model |
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171 | This calculation assumes a 4-fold symmetry of the model. |
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172 | Really is the same calculation time since we have to |
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173 | calculate points for 0<phi<pi anyway. |
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174 | """ |
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175 | |
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176 | def __init__(self, x, y, model, |
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177 | completefn = None, |
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178 | updatefn = None, |
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179 | yieldtime = 0.01, |
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180 | worktime = 0.01 |
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181 | ): |
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182 | CalcThread.__init__(self,completefn, |
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183 | updatefn, |
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184 | yieldtime, |
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185 | worktime) |
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186 | self.x = x |
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187 | self.y = y |
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188 | self.model = model |
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189 | self.starttime = 0 |
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190 | |
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191 | def isquit(self): |
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192 | try: |
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193 | CalcThread.isquit(self) |
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194 | except KeyboardInterrupt: |
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195 | #printEVT("Calc %s interrupted" % self.model.name) |
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196 | wx.PostEvent(self.parent, StatusEvent(status=\ |
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197 | "Calc %s interrupted" % self.model.name)) |
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198 | |
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199 | raise KeyboardInterrupt |
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200 | |
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201 | def compute(self): |
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202 | import numpy |
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203 | x = self.x |
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204 | y = self.y |
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205 | output = numpy.zeros((len(x),len(y))) |
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206 | |
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207 | self.starttime = time.time() |
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208 | lx = len(self.x) |
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209 | |
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210 | for i_x in range(int(len(self.x)/2)): |
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211 | if i_x%2==1: |
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212 | continue |
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213 | |
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214 | # Check whether we need to bail out |
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215 | self.update(output=output) |
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216 | self.isquit() |
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217 | |
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218 | for i_y in range(int(len(self.y)/2)): |
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219 | value1 = self.model.runXY([self.x[i_x], self.y[i_y]]) |
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220 | value2 = self.model.runXY([self.x[i_x], self.y[lx-i_y-1]]) |
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221 | output[i_y][i_x] = value1 + value2 |
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222 | output[lx-i_y-1][lx-i_x-1] = value1 + value2 |
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223 | output[lx-i_y-1][i_x] = value1 + value2 |
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224 | output[i_y][lx-i_x-1] = value1 + value2 |
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225 | |
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226 | if lx%2==1: |
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227 | i_x = int(len(self.x)/2) |
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228 | for i_y in range(int(len(self.y)/2)): |
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229 | value1 = self.model.runXY([self.x[i_x], self.y[i_y]]) |
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230 | value2 = self.model.runXY([self.x[i_x], self.y[lx-i_y-1]]) |
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231 | output[i_y][i_x] = value1 + value2 |
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232 | output[lx-i_y-1][lx-i_x-1] = value1 + value2 |
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233 | output[lx-i_y-1][i_x] = value1 + value2 |
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234 | output[i_y][lx-i_x-1] = value1 + value2 |
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235 | |
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236 | for i_x in range(int(len(self.x)/2)): |
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237 | if not i_x%2==1: |
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238 | continue |
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239 | |
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240 | # Check whether we need to bail out |
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241 | self.update(output=output) |
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242 | self.isquit() |
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243 | |
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244 | for i_y in range(int(len(self.y)/2)): |
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245 | value1 = self.model.runXY([self.x[i_x], self.y[i_y]]) |
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246 | value2 = self.model.runXY([self.x[i_x], self.y[lx-i_y-1]]) |
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247 | output[i_y][i_x] = value1 + value2 |
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248 | output[lx-i_y-1][lx-i_x-1] = value1 + value2 |
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249 | output[lx-i_y-1][i_x] = value1 + value2 |
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250 | output[i_y][lx-i_x-1] = value1 + value2 |
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251 | |
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252 | elapsed = time.time()-self.starttime |
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253 | self.complete(output=output, elapsed=elapsed) |
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254 | |
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255 | |
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256 | |
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257 | class Calc1D(CalcThread): |
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258 | """Compute 1D data""" |
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259 | |
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260 | def __init__(self, x, model, |
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261 | data=None, |
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262 | qmin=None, |
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263 | qmax=None, |
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264 | smearer=None, |
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265 | completefn = None, |
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266 | updatefn = None, |
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267 | yieldtime = 0.01, |
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268 | worktime = 0.01 |
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269 | ): |
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270 | CalcThread.__init__(self,completefn, |
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271 | updatefn, |
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272 | yieldtime, |
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273 | worktime) |
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274 | self.x = x |
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275 | self.data= data |
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276 | self.qmin= qmin |
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277 | self.qmax= qmax |
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278 | self.model = model |
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279 | self.smearer= smearer |
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280 | self.starttime = 0 |
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281 | |
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282 | def compute(self): |
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283 | """ |
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284 | Compute model 1d value given qmin , qmax , x value |
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285 | """ |
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286 | import numpy |
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287 | |
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288 | output = numpy.zeros(len(self.x)) |
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289 | |
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290 | self.starttime = time.time() |
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291 | |
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292 | for i_x in range(len(self.x)): |
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293 | self.update(x= self.x, output=output ) |
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294 | # Check whether we need to bail out |
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295 | self.isquit() |
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296 | if self.qmin <= self.x[i_x] and self.x[i_x] <= self.qmax: |
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297 | value = self.model.run(self.x[i_x]) |
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298 | output[i_x] = value |
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299 | |
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300 | if self.smearer!=None: |
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301 | output = self.smearer(output) |
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302 | |
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303 | |
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304 | elapsed = time.time()-self.starttime |
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305 | self.complete(x= self.x, y= output, |
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306 | elapsed=elapsed, model= self.model, data=self.data) |
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307 | |
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308 | |
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309 | |
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310 | class CalcCommandline: |
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311 | def __init__(self, n=20000): |
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312 | #print thread.get_ident() |
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313 | from sans.models.CylinderModel import CylinderModel |
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314 | from sans.models.DisperseModel import DisperseModel |
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315 | import pylab |
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316 | |
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317 | submodel = CylinderModel() |
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318 | |
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319 | model = DisperseModel(submodel, ['cyl_phi', 'cyl_theta', 'length'], |
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320 | [0.2, 0.2, 10.0]) |
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321 | model.setParam('n_pts', 10) |
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322 | |
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323 | print model.runXY([0.01, 0.02]) |
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324 | |
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325 | qmax = 0.01 |
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326 | qstep = 0.0001 |
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327 | self.done = False |
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328 | |
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329 | x = pylab.arange(-qmax, qmax+qstep*0.01, qstep) |
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330 | y = pylab.arange(-qmax, qmax+qstep*0.01, qstep) |
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331 | |
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332 | calc_thread_2D = Calc2D(x, y, model.clone(),-qmax, qmax,qstep, |
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333 | completefn=self.complete, |
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334 | updatefn=self.update , |
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335 | yieldtime=0.0) |
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336 | |
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337 | calc_thread_2D.queue() |
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338 | calc_thread_2D.ready(2.5) |
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339 | |
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340 | while not self.done: |
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341 | time.sleep(1) |
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342 | |
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343 | def update(self,output): |
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344 | print "update" |
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345 | |
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346 | def complete(self, output, model, elapsed, qmin, qmax, qstep ): |
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347 | print "complete" |
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348 | self.done = True |
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349 | |
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350 | if __name__ == "__main__": |
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351 | CalcCommandline() |
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352 | |
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