[0277d084] | 1 | |
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| 2 | import wx |
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| 3 | import sys |
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| 4 | import numpy |
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| 5 | import math |
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| 6 | import logging |
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| 7 | |
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| 8 | import models |
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| 9 | import model_panel |
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| 10 | from model_panel import ModelPanel |
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| 11 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
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| 12 | from sans.guiframe.dataFitting import Data2D |
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| 13 | from sans.guiframe.dataFitting import Theory1D |
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| 14 | |
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| 15 | DEFAULT_BEAM = 0.005 |
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| 16 | DEFAULT_QMIN = 0.001 |
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| 17 | DEFAULT_QMAX = 0.13 |
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| 18 | DEFAULT_NPTS = 50 |
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| 19 | |
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| 20 | class PlotInfo: |
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| 21 | """ |
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| 22 | store some plotting field |
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| 23 | """ |
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| 24 | _xunit = 'A^{-1}' |
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| 25 | _xaxis= "\\rm{Q}" |
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| 26 | _yunit = "cm^{-1}" |
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| 27 | _yaxis= "\\rm{Intensity} " |
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| 28 | id = "Model" |
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| 29 | group_id = "Model" |
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| 30 | title= None |
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| 31 | info= None |
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| 32 | |
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| 33 | class Plugin: |
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| 34 | """ |
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| 35 | This class defines the interface for a Plugin class |
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| 36 | for calculator perspective |
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| 37 | """ |
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| 38 | |
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| 39 | def __init__(self, standalone=True): |
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| 40 | """ |
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| 41 | Abstract class for gui_manager Plugins. |
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| 42 | """ |
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| 43 | ## Plug-in name. It will appear on the application menu. |
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| 44 | self.sub_menu = "Theory" |
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| 45 | |
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| 46 | ## Reference to the parent window. Filled by get_panels() below. |
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| 47 | self.parent = None |
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| 48 | |
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| 49 | ## List of panels that you would like to open in AUI windows |
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| 50 | # for your plug-in. This defines your plug-in "perspective" |
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| 51 | self.perspective = [] |
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| 52 | # Log startup |
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| 53 | logging.info("Theory plug-in started") |
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| 54 | |
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| 55 | #Provide list of models existing in the application |
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| 56 | self.menu_mng = models.ModelManager() |
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| 57 | # reference to the current running thread |
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| 58 | self.calc_2D= None |
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| 59 | self.calc_1D= None |
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| 60 | |
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| 61 | def populate_menu(self, id, owner): |
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| 62 | """ |
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| 63 | Create and return the list of application menu |
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| 64 | items for the plug-in. |
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| 65 | |
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| 66 | @param id: deprecated. Un-used. |
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| 67 | @param parent: parent window |
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| 68 | @return: plug-in menu |
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| 69 | """ |
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| 70 | return [] |
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| 71 | |
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| 72 | def get_panels(self, parent): |
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| 73 | """ |
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| 74 | Create and return the list of wx.Panels for your plug-in. |
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| 75 | Define the plug-in perspective. |
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| 76 | |
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| 77 | Panels should inherit from DefaultPanel defined below, |
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| 78 | or should present the same interface. They must define |
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| 79 | "window_caption" and "window_name". |
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| 80 | |
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| 81 | @param parent: parent window |
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| 82 | @return: list of panels |
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| 83 | """ |
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| 84 | ## Save a reference to the parent |
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| 85 | self.parent = parent |
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| 86 | # Define a panel |
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| 87 | self.model_panel= ModelPanel(self.parent, page_info =None, |
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| 88 | model_list_box= self.menu_mng.get_model_list().get_list()) |
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| 89 | self.model_panel.set_manager(self) |
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| 90 | |
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| 91 | # If needed, add its name to the perspective list |
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| 92 | self.perspective.append(self.model_panel.window_name) |
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| 93 | self.parent.Bind(model_panel.EVT_MODEL_BOX,self._on_model_panel) |
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| 94 | # Return the list of panels |
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| 95 | return [self.model_panel] |
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| 96 | |
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| 97 | def get_context_menu(self, graph=None): |
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| 98 | """ |
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| 99 | This method is optional. |
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| 100 | |
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| 101 | When the context menu of a plot is rendered, the |
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| 102 | get_context_menu method will be called to give you a |
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| 103 | chance to add a menu item to the context menu. |
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| 104 | |
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| 105 | A ref to a Graph object is passed so that you can |
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| 106 | investigate the plot content and decide whether you |
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| 107 | need to add items to the context menu. |
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| 108 | |
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| 109 | This method returns a list of menu items. |
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| 110 | Each item is itself a list defining the text to |
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| 111 | appear in the menu, a tool-tip help text, and a |
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| 112 | call-back method. |
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| 113 | |
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| 114 | @param graph: the Graph object to which we attach the context menu |
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| 115 | @return: a list of menu items with call-back function |
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| 116 | """ |
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| 117 | return [] |
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| 118 | |
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| 119 | def get_perspective(self): |
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| 120 | """ |
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| 121 | Get the list of panel names for this perspective |
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| 122 | """ |
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| 123 | return self.perspective |
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| 124 | |
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| 125 | def on_perspective(self, event): |
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| 126 | """ |
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| 127 | Call back function for the perspective menu item. |
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| 128 | We notify the parent window that the perspective |
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| 129 | has changed. |
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| 130 | @param event: menu event |
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| 131 | """ |
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| 132 | self.parent.set_perspective(self.perspective) |
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| 133 | |
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| 134 | def post_init(self): |
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| 135 | """ |
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| 136 | Post initialization call back to close the loose ends |
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| 137 | """ |
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| 138 | pass |
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| 139 | |
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| 140 | def draw_model(self, model, data= None,smearer= None, |
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| 141 | enable1D= True, enable2D= False, |
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| 142 | qmin= DEFAULT_QMIN, qmax= DEFAULT_QMAX, qstep= DEFAULT_NPTS): |
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| 143 | """ |
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| 144 | Draw model. |
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| 145 | @param model: the model to draw |
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| 146 | @param name: the name of the model to draw |
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| 147 | @param data: the data on which the model is based to be drawn |
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| 148 | @param description: model's description |
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| 149 | @param enable1D: if true enable drawing model 1D |
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| 150 | @param enable2D: if true enable drawing model 2D |
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| 151 | @param qmin: Range's minimum value to draw model |
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| 152 | @param qmax: Range's maximum value to draw model |
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| 153 | @param qstep: number of step to divide the x and y-axis |
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| 154 | |
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| 155 | """ |
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| 156 | ## draw model 1D with no loaded data |
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| 157 | self._draw_model1D( model= model, data= data,enable1D=enable1D, smearer= smearer, |
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| 158 | qmin= qmin, qmax= qmax, qstep= qstep ) |
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| 159 | ## draw model 2D with no initial data |
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| 160 | self._draw_model2D(model=model, |
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| 161 | data = data, |
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| 162 | enable2D= enable2D, |
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| 163 | qmin=qmin, |
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| 164 | qmax=qmax, |
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| 165 | qstep=qstep) |
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| 166 | |
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| 167 | def _on_model_panel(self, evt): |
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| 168 | """ |
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| 169 | react to model selection on any combo box or model menu.plot the model |
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| 170 | @param evt: wx.combobox event |
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| 171 | """ |
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| 172 | model = evt.model |
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| 173 | qmin = evt.qmin |
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| 174 | qmax = evt.qmax |
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| 175 | qstep = evt.qstep |
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| 176 | if model ==None: |
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| 177 | return |
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| 178 | # save model name |
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| 179 | self.draw_model(model=model, qmin=qmin, qmax=qmax, qstep=qstep) |
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| 180 | |
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| 181 | def _draw_model2D(self,model,data=None, enable2D=False, |
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| 182 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep=DEFAULT_NPTS): |
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| 183 | """ |
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| 184 | draw model in 2D |
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| 185 | @param model: instance of the model to draw |
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| 186 | @param enable2D: when True allows to draw model 2D |
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| 187 | @param qmin: the minimum value to draw model 2D |
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| 188 | @param qmax: the maximum value to draw model 2D |
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| 189 | @param qstep: the number of division of Qx and Qy of the model to draw |
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| 190 | |
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| 191 | """ |
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| 192 | x= numpy.linspace(start= -1*qmax, |
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| 193 | stop= qmax, |
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| 194 | num= qstep, |
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| 195 | endpoint=True ) |
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| 196 | y = numpy.linspace(start= -1*qmax, |
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| 197 | stop= qmax, |
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| 198 | num= qstep, |
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| 199 | endpoint=True ) |
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[00d3528] | 200 | |
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[0277d084] | 201 | ## use data info instead |
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| 202 | if data !=None: |
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| 203 | ## check if data2D to plot |
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| 204 | if hasattr(data, "x_bins"): |
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| 205 | enable2D = True |
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| 206 | x= data.x_bins |
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| 207 | y= data.y_bins |
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[00d3528] | 208 | |
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[0277d084] | 209 | if not enable2D: |
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| 210 | return |
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| 211 | try: |
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| 212 | from model_thread import Calc2D |
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| 213 | ## If a thread is already started, stop it |
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| 214 | if self.calc_2D != None and self.calc_2D.isrunning(): |
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| 215 | self.calc_2D.stop() |
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| 216 | self.calc_2D = Calc2D( x= x, |
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| 217 | y= y, |
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| 218 | model= model, |
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| 219 | data = data, |
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| 220 | qmin= qmin, |
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| 221 | qmax= qmax, |
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| 222 | qstep= qstep, |
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| 223 | completefn= self._complete2D, |
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| 224 | updatefn= self._update2D ) |
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| 225 | self.calc_2D.queue() |
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| 226 | |
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| 227 | except: |
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| 228 | raise |
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| 229 | #msg= " Error occurred when drawing %s Model 2D: "%model.name |
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| 230 | #msg+= " %s"%sys.exc_value |
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| 231 | #wx.PostEvent( self.parent, StatusEvent(status= msg )) |
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| 232 | #return |
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| 233 | |
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| 234 | def _draw_model1D(self, model, data=None, smearer= None, |
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| 235 | qmin=DEFAULT_QMIN, qmax=DEFAULT_QMAX, qstep= DEFAULT_NPTS, |
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| 236 | enable1D= True): |
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| 237 | """ |
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| 238 | Draw model 1D from loaded data1D |
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| 239 | @param data: loaded data |
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| 240 | @param model: the model to plot |
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| 241 | """ |
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| 242 | x= numpy.linspace(start= qmin, |
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| 243 | stop= qmax, |
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| 244 | num= qstep, |
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| 245 | endpoint=True |
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| 246 | ) |
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| 247 | if data!=None: |
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| 248 | ## check for data2D |
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| 249 | if hasattr(data,"x_bins"): |
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| 250 | return |
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| 251 | x = data.x |
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| 252 | if qmin == DEFAULT_QMIN : |
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| 253 | qmin = min(data.x) |
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| 254 | if qmax == DEFAULT_QMAX: |
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| 255 | qmax = max(data.x) |
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| 256 | |
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| 257 | |
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| 258 | if not enable1D: |
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| 259 | return |
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| 260 | |
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| 261 | try: |
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| 262 | from model_thread import Calc1D |
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| 263 | ## If a thread is already started, stop it |
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| 264 | if self.calc_1D!= None and self.calc_1D.isrunning(): |
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| 265 | self.calc_1D.stop() |
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| 266 | self.calc_1D= Calc1D( x= x, |
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| 267 | data = data, |
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| 268 | model= model, |
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| 269 | qmin = qmin, |
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| 270 | qmax = qmax, |
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| 271 | smearer = smearer, |
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| 272 | completefn = self._complete1D, |
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| 273 | updatefn = self._update1D ) |
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| 274 | self.calc_1D.queue() |
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| 275 | |
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| 276 | except: |
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[199cef2] | 277 | msg = " Error occurred when drawing %s Model 1D: "%model.name |
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| 278 | msg += " %s"%sys.exc_value |
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| 279 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
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| 280 | |
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[0277d084] | 281 | def _update1D(self,x, output): |
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| 282 | """ |
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| 283 | Update the output of plotting model 1D |
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| 284 | """ |
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| 285 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
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| 286 | #updating ... ",type="update")) |
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| 287 | self.ready_fit() |
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| 288 | #self.calc_thread.ready(0.01) |
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| 289 | |
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| 290 | |
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| 291 | def _fill_default_model2D(self, theory, qmax,qstep, qmin=None): |
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| 292 | """ |
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| 293 | fill Data2D with default value |
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| 294 | @param theory: Data2D to fill |
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| 295 | """ |
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| 296 | from DataLoader.data_info import Detector, Source |
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| 297 | |
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| 298 | detector = Detector() |
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[00d3528] | 299 | theory.detector.append(detector) |
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[0277d084] | 300 | theory.source= Source() |
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| 301 | |
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[00d3528] | 302 | ## Default values |
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| 303 | theory.detector[0].distance= 8000 # mm |
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| 304 | theory.source.wavelength= 6 # A |
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| 305 | theory.detector[0].pixel_size.x= 5 # mm |
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| 306 | theory.detector[0].pixel_size.y= 5 # mm |
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| 307 | |
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[0277d084] | 308 | theory.detector[0].beam_center.x= qmax |
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| 309 | theory.detector[0].beam_center.y= qmax |
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[00d3528] | 310 | |
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| 311 | |
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[0277d084] | 312 | ## create x_bins and y_bins of the model 2D |
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| 313 | pixel_width_x = theory.detector[0].pixel_size.x |
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| 314 | pixel_width_y = theory.detector[0].pixel_size.y |
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| 315 | center_x = theory.detector[0].beam_center.x/pixel_width_x |
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| 316 | center_y = theory.detector[0].beam_center.y/pixel_width_y |
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[00d3528] | 317 | |
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| 318 | # theory default: assume the beam center is located at the center of sqr detector |
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| 319 | xmax = qmax |
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| 320 | xmin = -qmax |
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| 321 | ymax = qmax |
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| 322 | ymin = -qmax |
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| 323 | |
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| 324 | x= numpy.linspace(start= -1*qmax, |
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| 325 | stop= qmax, |
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| 326 | num= qstep, |
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| 327 | endpoint=True ) |
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| 328 | y = numpy.linspace(start= -1*qmax, |
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| 329 | stop= qmax, |
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| 330 | num= qstep, |
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| 331 | endpoint=True ) |
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| 332 | |
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| 333 | ## use data info instead |
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| 334 | new_x = numpy.tile(x, (len(y),1)) |
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| 335 | new_y = numpy.tile(y, (len(x),1)) |
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| 336 | new_y = new_y.swapaxes(0,1) |
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[0277d084] | 337 | |
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[00d3528] | 338 | # all data reuire now in 1d array |
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| 339 | qx_data = new_x.flatten() |
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| 340 | qy_data = new_y.flatten() |
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[0277d084] | 341 | |
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[00d3528] | 342 | q_data = numpy.sqrt(qx_data*qx_data+qy_data*qy_data) |
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| 343 | # set all True (standing for unmasked) as default |
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| 344 | mask = numpy.ones(len(qx_data), dtype = bool) |
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| 345 | |
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| 346 | # calculate the range of qx and qy: this way, it is a little more independent |
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| 347 | x_size = xmax- xmin |
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| 348 | y_size = ymax -ymin |
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| 349 | |
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| 350 | # store x and y bin centers in q space |
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| 351 | x_bins = x |
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| 352 | y_bins = y |
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| 353 | # bin size: x- & y-directions |
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| 354 | xstep = x_size/len(x_bins-1) |
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| 355 | ystep = y_size/len(y_bins-1) |
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| 356 | |
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| 357 | #theory.data = numpy.zeros(len(mask)) |
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| 358 | theory.err_data = numpy.zeros(len(mask)) |
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| 359 | theory.qx_data = qx_data |
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| 360 | theory.qy_data = qy_data |
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| 361 | theory.q_data = q_data |
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| 362 | theory.mask = mask |
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| 363 | theory.x_bins = x_bins |
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| 364 | theory.y_bins = y_bins |
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| 365 | |
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| 366 | # max and min taking account of the bin sizes |
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[64017a8] | 367 | theory.xmin= xmin |
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| 368 | theory.xmax= xmax |
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| 369 | theory.ymin= ymin |
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| 370 | theory.ymax= ymax |
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[0277d084] | 371 | theory.group_id ="Model" |
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| 372 | theory.id ="Model" |
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| 373 | |
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| 374 | |
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| 375 | def _get_plotting_info(self, data=None): |
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| 376 | """ |
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| 377 | get plotting info from data if data !=None |
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| 378 | else use some default |
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| 379 | """ |
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| 380 | my_info = PlotInfo() |
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| 381 | if data !=None: |
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| 382 | if hasattr(data,"info"): |
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| 383 | x_name, x_units = data.get_xaxis() |
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| 384 | y_name, y_units = data.get_yaxis() |
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| 385 | |
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| 386 | my_info._xunit = x_units |
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| 387 | my_info._xaxis = x_name |
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| 388 | my_info._yunit = y_units |
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| 389 | my_info._yaxis = y_name |
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| 390 | |
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| 391 | my_info.title= data.name |
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| 392 | if hasattr(data, "info"): |
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| 393 | my_info.info= data.info |
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| 394 | if hasattr(data, "group_id"): |
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| 395 | my_info.group_id= data.group_id |
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| 396 | |
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| 397 | return my_info |
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| 398 | |
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| 399 | |
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| 400 | def _complete1D(self, x,y, elapsed,model,data=None): |
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| 401 | """ |
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| 402 | Complete plotting 1D data |
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| 403 | """ |
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| 404 | |
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| 405 | try: |
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| 406 | new_plot = Theory1D(x=x, y=y) |
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| 407 | my_info = self._get_plotting_info( data) |
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| 408 | new_plot.name = model.name |
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| 409 | new_plot.id = my_info.id |
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| 410 | new_plot.group_id = my_info.group_id |
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| 411 | |
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| 412 | new_plot.xaxis( my_info._xaxis, my_info._xunit) |
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| 413 | new_plot.yaxis( my_info._yaxis, my_info._yunit) |
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| 414 | if data!=None: |
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| 415 | if new_plot.id == data.id: |
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| 416 | new_plot.id += "Model" |
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| 417 | new_plot.is_data =False |
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| 418 | |
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| 419 | # Pass the reset flag to let the plotting event handler |
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| 420 | # know that we are replacing the whole plot |
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| 421 | |
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| 422 | title = "Analytical model 1D " |
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| 423 | if data ==None: |
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| 424 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
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| 425 | title= str(title), reset=True )) |
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| 426 | else: |
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| 427 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
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| 428 | title= str(title))) |
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| 429 | msg = "Plot 1D complete !" |
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| 430 | wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" )) |
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| 431 | except: |
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| 432 | msg= " Error occurred when drawing %s Model 1D: "%new_plot.name |
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| 433 | msg+= " %s"%sys.exc_value |
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| 434 | wx.PostEvent( self.parent, StatusEvent(status= msg, type="stop" )) |
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| 435 | return |
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| 436 | |
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| 437 | |
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| 438 | |
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| 439 | def _update2D(self, output,time=None): |
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| 440 | """ |
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| 441 | Update the output of plotting model |
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| 442 | """ |
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| 443 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
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| 444 | #updating ... ",type="update")) |
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| 445 | self.ready_fit() |
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| 446 | #self.calc_thread.ready(0.01) |
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| 447 | |
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| 448 | |
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| 449 | def _complete2D(self, image,data, model, elapsed,qmin, qmax,qstep=DEFAULT_NPTS): |
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| 450 | """ |
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| 451 | Complete get the result of modelthread and create model 2D |
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| 452 | that can be plot. |
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| 453 | """ |
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| 454 | err_image = numpy.zeros(numpy.shape(image)) |
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| 455 | |
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| 456 | theory= Data2D(image= image , err_image= err_image) |
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| 457 | theory.name= model.name |
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[00d3528] | 458 | |
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[0277d084] | 459 | if data ==None: |
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| 460 | self._fill_default_model2D(theory= theory, qmax=qmax,qstep=qstep, qmin= qmin) |
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| 461 | |
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| 462 | else: |
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| 463 | theory.id= data.id+"Model" |
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| 464 | theory.group_id= data.name+"Model" |
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| 465 | theory.x_bins= data.x_bins |
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| 466 | theory.y_bins= data.y_bins |
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| 467 | theory.detector= data.detector |
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| 468 | theory.source= data.source |
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| 469 | theory.is_data =False |
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[00d3528] | 470 | theory.qx_data = data.qx_data |
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| 471 | theory.qy_data = data.qy_data |
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| 472 | theory.q_data = data.q_data |
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| 473 | theory.err_data = data.err_data |
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| 474 | theory.mask = data.mask |
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[0277d084] | 475 | ## plot boundaries |
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| 476 | theory.ymin= data.ymin |
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| 477 | theory.ymax= data.ymax |
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| 478 | theory.xmin= data.xmin |
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| 479 | theory.xmax= data.xmax |
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| 480 | |
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| 481 | ## plot |
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| 482 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
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| 483 | title="Analytical model 2D ", reset=True )) |
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| 484 | msg = "Plot 2D complete !" |
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| 485 | wx.PostEvent( self.parent, StatusEvent( status= msg , type="stop" )) |
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| 486 | |
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| 487 | |
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