TLM-CTLM programming part 1

hp4155/TLM-CTLM/help.py

+import ipywidgets as widgets
+from ipywidgets import GridspecLayout,Layout
+from IPython.display import clear_output
+
+import sys
+sys.path.insert(0, '..') #append parent directory
+#import hp4155a
+
+import tkinter as tk
+from tkinter import filedialog
+import tkinter.messagebox
+
+
+import matplotlib.pyplot as plt
+
+# Interface to collect information about the sample
+def sample_interface():
+    width = "90%"
+    height = "auto"
+    style = {'description_width': 'initial'}
+    
+    sample = GridspecLayout(6,3)
+
+    sample[0,0] = widgets.Label("Sample Information")
+    sample[0,0].style.font_weight = 'bold'
+
+    #iterate over the first two columns
+    for i in range(1,6,2):
+        sample[i:i+2,0]= widgets.Text(layout=Layout(height=height, width=width),style = style)
+
+    
+    sample[1:3,0].description = "Processing Number:"
+    sample[3:5,0].description = "Sample Series:"
+    sample[5:7,0].description = "Field:"
+    
+    
+    #measurement information in the next columns
+    sample[1:3,1]= widgets.Dropdown(options=["TLM","CTLM"],value ='TLM',layout=Layout(height=height, width='60%'),description="Type:") #TLM or CTLM
+    sample[3:5,1]= widgets.BoundedIntText(value=50,min=1,max=sys.maxsize,step=1,layout=Layout(height=height, width=width),description="Contactlength(um):",style = style)
+    sample[5:7,1]= widgets.BoundedIntText(value=100,min=1,max=sys.maxsize,step=1,layout=Layout(height=height, width='60%'),description="Width(um):",style = style)
+    
+    # distannces is the 3rd column
+    sample[0,2] = widgets.Label("Distances(um)")
+    sample[0,2].style.font_weight = 'bold'
+
+    distances = [5,10,15,20,50]
+
+    for i,distance in enumerate(distances):
+        sample[i+1,2]= widgets.BoundedIntText(value=int(distance),min=1,max=sys.maxsize,step=1,layout=Layout(height=height, width="60%"),description=f"d{i+1}:",style = style)
+
+    def on_type_change(change):
+        if change['new'] =="TLM":
+            sample[3:5,1].value = 50
+            sample[3:5,1].description = 'Contanctlength(um)'
+        else:
+            sample[3:5,1].value = 55
+            sample[3:5,1].description = 'Innen Radius(um)'
+
+    sample[1:3,1].observe(on_type_change, names='value')
+    display(sample)
+
+    sample_dict = {
+        'processing_number':sample[1:3,0],
+        'sample_series':sample[3:5,0],
+        'field':sample[5:7,0],
+        'type':sample[1:3,1],
+        'length':sample[3:5,1],
+        'width':sample[5:7,1],
+        'd1':sample[1,2],
+        'd2':sample[2,2],
+        'd3':sample[3,2],
+        'd4':sample[4,2],
+        'd5':sample[5,2]
+    }
+    
+    return sample_dict
+
+#function to get interface from measurement parameters
+def parameters_interface():
+    width = "60%"
+    height = "auto"
+    style = {'description_width': 'initial'}
+    
+    parameters_title=widgets.Label("I(SMU3)",layout=Layout(height=height, width='50%'))
+    parameters_title.style.font_weight='bold'
+    
+    parameters = GridspecLayout(4,3)
+
+    #start value
+    parameters[0,0]=widgets.Label("start",layout=Layout(height=height, width=width))
+    parameters[1,0]=widgets.BoundedFloatText(value=-50e-3,min=-0.1,max=0.1,step=1e-3,layout=Layout(height=height, width=width))
+
+    
+    #compliance value
+    parameters[2,0] = widgets.Label("compliance",layout=Layout(height=height, width=width))
+    parameters[3,0] = widgets.BoundedFloatText(value=10,min=-100,max=100,step=1,layout=Layout(height=height, width=width))
+
+    #stop value
+    parameters[0,1]=widgets.Label("stop",layout=Layout(height=height, width=width))
+    parameters[1,1]=widgets.BoundedFloatText(value=50e-3,min=-0.1,max=0.1,step=1e-3,layout=Layout(height=height, width=width))
+
+    #hysterisis
+    parameters[2,1]= widgets.Label("hysterisis",layout=Layout(height=height, width=width))
+    parameters[3,1]=widgets.Dropdown(options=['SINGle','DOUBle'],value='SINGle',layout=Layout(height=height, width=width))
+
+    #step
+    parameters[0,2] = widgets.Label("step",layout=Layout(height=height, width=width))
+    parameters[1,2] = widgets.BoundedFloatText(value=1e-3,min=-0.1,max=0.1,step=1e-3,layout=Layout(height=height, width=width))
+
+    #integration time
+    parameters[2,2]=widgets.Label("Integration Time",layout=Layout(height=height, width=width))
+    parameters[3,2]= widgets.Dropdown(options=["SHORt","MEDium","LONG"],value="MEDium",layout=Layout(height=height, width=width))
+    
+    display(parameters_title)
+    display(parameters)
+
+    parameters_dict = {
+        'start':parameters[1,0],
+        'comp':parameters[3,0],
+        'stop':parameters[1,1],
+        'hyst':parameters[3,1],
+        'step':parameters[1,2],
+        'integration':parameters[3,2]           
+    }
+    return parameters_dict
+
+
+#functions for the widgets enabling and disabling
+
+def add_widgets_to_list(source_dictionary,target_list):
+    for widget in source_dictionary.values():
+        target_list.append(widget)
+
+def change_state(widgets_list):
+    for widget in widgets_list:
+        widget.disabled = not widget.disabled
+
+def enable_widgets(widgets_list):
+    for widget in widgets_list:
+        widget.disabled = False
+
+def disable_widgets(widgets_list):
+    for widget in widgets_list:
+        widget.disabled = True
+
+
+#check if start stop and step are correct
+def check_values(start,stop,step):
+    valid = True
+
+    root = tk.Tk()
+    root.withdraw()
+    root.lift() #show window above all other applications
+
+    root.attributes("-topmost", True)#window stays above all other applications
+
+    if abs(step.value) > abs(stop.value-start.value) or step.value==0:#invalid parameter setting 
+        valid = False
+        tkinter.messagebox.showerror(message="Invalid parameter setting!")
+
+    if start.value<stop.value and step.value<0: #change polarity
+        step.value =(-1)*step.value
+
+    elif start.value>stop.value and step.value>0:
+        step.value = (-1)*step.value
+
+    else:
+        pass
+
+    return valid
+
+
+    
\ No newline at end of file

hp4155/TLM-CTLM/interface.ipynb

@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "id": "6c4f922a-9f73-438a-a13c-45dbcdf95081",
    "metadata": {},
    "outputs": [],
@@ -42,7 +42,7 @@
     "    \n",
     "    #measurement information in the next columns\n",
     "    sample[1:3,1]= widgets.Dropdown(options=[\"TLM\",\"CTLM\"],value ='TLM',layout=Layout(height=height, width='60%'),description=\"Type:\") #TLM or CTLM\n",
-    "    sample[3:5,1]= widgets.BoundedIntText(value=50,min=1,max=sys.maxsize,step=1,layout=Layout(height=height, width=width),description=\"Contactlength / Innen radius(um):\",style = style)\n",
+    "    sample[3:5,1]= widgets.BoundedIntText(value=50,min=1,max=sys.maxsize,step=1,layout=Layout(height=height, width=width),description=\"Contactlength(um):\",style = style)\n",
     "    sample[5:7,1]= widgets.BoundedIntText(value=100,min=1,max=sys.maxsize,step=1,layout=Layout(height=height, width='60%'),description=\"Width(um):\",style = style)\n",
     "    \n",
     "    # distannces is the 3rd column\n",
@@ -57,8 +57,10 @@
     "    def on_type_change(change):\n",
     "        if change['new'] ==\"TLM\":\n",
     "            sample[3:5,1].value = 50\n",
+    "            sample[3:5,1].description = 'Contanctlength(um)'\n",
     "        else:\n",
     "            sample[3:5,1].value = 55\n",
+    "            sample[3:5,1].description = 'Innen Radius(um)'\n",
     "\n",
     "    sample[1:3,1].observe(on_type_change, names='value')\n",
     "    display(sample)\n",
@@ -67,14 +69,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 11,
    "id": "95bc631f-5e6c-43a2-850b-d28cccf0d2f3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "368c4a4154e64d06911eff1ef0bcaddd",
+       "model_id": "e9e5cd57966c407d8e6dd632b1f5f8c5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -88,7 +90,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "368c4a4154e64d06911eff1ef0bcaddd",
+       "model_id": "e9e5cd57966c407d8e6dd632b1f5f8c5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -96,7 +98,7 @@
        "GridspecLayout(children=(Label(value='Sample Information', layout=Layout(grid_area='widget001'), style=LabelSt…"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -163,7 +165,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "22db084bf7fa4758a91012404138d4a8",
+       "model_id": "eef01cab16944f7fbe1d172debd58964",
        "version_major": 2,
        "version_minor": 0
       },
@@ -177,7 +179,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dd4abf96d5df487f8890d33c52bce961",
+       "model_id": "432c147246914210adbda0db68103204",
        "version_major": 2,
        "version_minor": 0
       },
@@ -191,7 +193,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dd4abf96d5df487f8890d33c52bce961",
+       "model_id": "432c147246914210adbda0db68103204",
        "version_major": 2,
        "version_minor": 0
       },
@@ -217,7 +219,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7e118ad627b648d995191e652a17a800",
+       "model_id": "6139fc7b6e4849bc98ce9c5226fe82d2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -238,7 +240,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "99e240bf57254160affc59c2a58d1d6d",
+       "model_id": "05480ec1a74b4db29c2d7fb98e4ebcbc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -252,7 +254,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b16755249745447ba7c977047ca46bc4",
+       "model_id": "8c65c690503641ebad048fd4e791a3bb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -266,7 +268,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b16755249745447ba7c977047ca46bc4",
+       "model_id": "8c65c690503641ebad048fd4e791a3bb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -288,14 +290,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "id": "01be6736-68c1-42b7-a192-19af4f762b42",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8e4060d112fa4eaa8cb18bcb8c031b61",
+       "model_id": "c8425189b57f4a448baa331386fef0e6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -309,7 +311,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "49a5b1f03d254fd0ae6c6d98671b9eb1",
+       "model_id": "8a0b9856dbfa4a1088c261fa72c5182f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -323,7 +325,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "362de2af5cc94faca967567c8a6ed786",
+       "model_id": "58a9621607c54fe78d606c364433615c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -337,7 +339,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a5d3d2990d364df880087832b3cdec29",
+       "model_id": "c399f625f14d4794b8a9f7b0a046f134",
        "version_major": 2,
        "version_minor": 0
       },
@@ -347,13 +349,6 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Displays children each on a separate accordion tab.\n"
-     ]
     }
    ],
    "source": [

hp4155/TLM-CTLM/tlm-ctlm.py

+from help import *
+
+#the interface
+sample = sample_interface()
+print()
+parameters = parameters_interface()
+print()
+
+#the buttons
+
+print('Controls')
+start_button = widgets.Button(description="Start NEW!")
+repeat_button = widgets.Button(description="repeat last")
+continue_button = widgets.Button(description="save+continue")
+exit_button = widgets.Button(description='exit/abort')
+
+control_buttons = widgets.HBox([start_button,repeat_button,continue_button,exit_button])
+display(control_buttons)
+print()
+
+print("Save Parameters in .ini file")
+export_ini_button = widgets.Button(description = 'Export as ini')
+import_ini_button = widgets.Button(description='Import from ini')
+
+ini_buttons = widgets.HBox([import_ini_button,export_ini_button])
+output = widgets.Output()
+
+display(ini_buttons,output)
+
+#connect to the device
+#device = hp4155a.HP4155a('GPIB0::17::INSTR')
+
+#create the lists for controlling the interactivty
+input_fields = []
+add_widgets_to_list(sample,input_fields)
+add_widgets_to_list(parameters,input_fields)
+
+all_buttons =[start_button,repeat_button,continue_button,exit_button,import_ini_button,export_ini_button]
+first_time_buttons= [repeat_button,continue_button,exit_button]
+disable_widgets(first_time_buttons)
+
+#connect to the device
+device = hp4155a.HP4155a('GPIB0::17::INSTR')
+
+#initalize counter 
+counter = -1
+
+#initialize figure
+fig,ax = plt.subplots()
+
+#initialze global variables for removing the plots and saving results later
+curve = 0
+V=0
+I=0
+
+#initialize smus (empty)
+smu1 = device.smu_dict()
+smu2 = device.smu_dict()
+smu3 = device.smu_dict()
+smu4 = device.smu_dict()
+var1 = device.var1_dict()
+
+smu1.update(vname = 'V1',iname ='I1',mode='COMM',func='CONS')
+smu2.update(vname = 'V2',iname = 'I2',mode='I',func='CONS')
+smu3.update(vname ='V3',iname='I3',mode='I',func='VAR1')
+smu4.update(vname ='V4',iname ='I4',mode='I',func='CONS')
+
+#update the dictionaries of the constant smus
+const_parameters = device.cons_smu_dict()
+const_parameters.update(value=0,comp = 10)
+
+smu2.update(cons=const_parameters)
+smu4.update(cons = const_parameters)
+
+
+def on_start_button_clicked(b):
+    
+    #disable all widgets
+    disable_widgets(input_fields)
+    disable_widgets(all_buttons)
+
+    fig.clear()
+
+    #check if values are correct
+    valid = check_values(start=parameters['start'].value,stop=parameters['stop'].value)
+
+    if valid == True:
+        #load parameters,exexute measurement and plot results 
+        
+        #first increase counter
+        counter = 0
+
+        #load parameters
+        #update the dictionary var1
+        var1.update(
+            mode =  1
+        )
+
+        pass
+

hp4155/TLM-CTLM/tlm-ctlm_interface.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1850827a-0811-4a03-9ea4-68a99e240de4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "68f0ed252e954474848afe6140e115e2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "GridspecLayout(children=(Label(value='Sample Information', layout=Layout(grid_area='widget001'), style=LabelSt…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "670be60f9b814ae29d757632fb2809fc",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Label(value='I(SMU3)', layout=Layout(height='auto', width='50%'), style=LabelStyle(font_weight='bold'))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e26b0156dae7472b9427a8486c8e7151",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "GridspecLayout(children=(Label(value='start', layout=Layout(grid_area='widget001', height='auto', width='60%')…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Controls\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "13527d1023524a909711862672e325d9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(Button(description='Start NEW!', style=ButtonStyle()), Button(description='repeat last', style=…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Save Parameters in .ini file\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7ac9bf301f234060beec7058bfac3abf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(Button(description='Import from ini', style=ButtonStyle()), Button(description='Export as ini',…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "441d319df83e40518b7643a19898b5c2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%run tlm-ctlm.py"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c17b5d9b-d644-45d3-9be1-78fd5d2b80ea",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}