M.Write(Client, WF12H_Tag, WF12H_Write_Value) #Write the calculated value to each window frame
M.Write(Client, WF13H_Tag, WF13H_Write_Value)
RFBM_Collection = M.Read(Client, Target_Tag, Average = True, count = count, sleep_time = sleep) #Read the Target tag count times and average
Full_Data_Set.append([M.Read(Client, WF12H_Tag), M.Read(Client, WF13H_Tag), M.Read(Client, WF12V_Tag), M.Read(Client, WF13V_Tag), RFBM_Collection]) #Append all data to the current list
if dBm_to_Watts(RFBM_Collection)/dBm_to_Watts(Start_Power) < Threshold_Percent*0.01: #Check to see that we are above our Threshold
break
#############################
### Back to Center
#############################
#This function will walk us back to the start positions without taking data
M.Ramp_Two(Client, WF12H_Tag, WF13H_Tag, Magnet_1_Stop = WF12H_Start, Magnet_2_Stop = WF13H_Start, Resolution = Right_Steps)
#############################
### To the left
#############################
#Repeat the following loop with same logic with the difference being in the write value calculation
Full_Data_Set.append([M.Read(Client, WF12H_Tag),
M.Read(Client, WF13H_Tag),
M.Read(Client, WF12V_Tag),
M.Read(Client, WF13V_Tag),
M.Read(Client, Target_Tag, Average = True, count = count, sleep_time = sleep)])
for Left_Steps in range(1, Read_Steps + 1):
if H_Broken == True:
break
M.Read(Client, WF7H_Tag),
M.Read(Client, WF6V_Tag),
M.Read(Client, WF7V_Tag), Target_1_Collection, Target_2_Collection
])
if abs(Target_1_Collection + Target_2_Collection) < abs(
Threshold_Percent * Start_Current * .01):
break
#############################
### Back to Center
#############################
M.Ramp_Two(Client,
WF6H_Tag,
WF7H_Tag,
Magnet_1_Stop=WF6H_Start,
Magnet_2_Stop=WF7H_Start,
Resolution=Right_Steps)
#############################
### To the left
#############################
Full_Data_Set.append([
M.Read(Client, WF6H_Tag),
M.Read(Client, WF7H_Tag),
M.Read(Client, WF6V_Tag),
M.Read(Client, WF7V_Tag),
M.Read(Client, Target_Tag, Average=True, count=count, sleep_time=sleep),
M.Read(Client, Target_Tag_2, Average=True, count=count, sleep_time=sleep)
])
Target_1_Collection = M.Read(Client, Target_Tag, Average = True, count = count, sleep_time = sleep) #Averaging the collection at these points for each dump
Target_2_Collection = M.Read(Client, Target_Tag_2, Average = True, count = count, sleep_time = sleep)
Full_Data_Set.append([M.Read(Client, WF6H_Tag), M.Read(Client, WF7H_Tag), M.Read(Client, WF6V_Tag), M.Read(Client, WF7V_Tag), Target_1_Collection, Target_2_Collection, M.Read(Client, EC_Tag)]) #Adding all the data from this point to the array
if abs(Target_1_Collection + Target_2_Collection) < abs(Threshold_Percent*Start_Current*.01): #Checking our threshold
break
#############################
### Back to Center
#############################
print("Moving to center")
M.Ramp_Two(Client, WF6H_Tag, WF7H_Tag, Magnet_1_Stop = WF6H_Start, Magnet_2_Stop = WF7H_Start, Resolution = Right_Steps) #Moves back to the start in the same # of steps taken
#############################
### To the left
#############################
#####
# --------------- This is the same loop as above with flipped signs for the calculations
#####
print("Left Displacement")
Full_Data_Set.append([M.Read(Client, WF6H_Tag),
M.Read(Client, WF7H_Tag),
M.Read(Client, WF6V_Tag),
M.Read(Client, WF7V_Tag),
M.Read(Client, Target_Tag, Average = True, count = count, sleep_time = sleep),
print("H:{:.2f} | {:.3f} | {:.3f} | {:.3f}".format(
X_Disp, Target_1_Collection + Target_2_Collection,
WF6H_Write_Value, WF7H_Write_Value))
if abs(Target_1_Collection + Target_2_Collection) < abs(
Threshold_Percent * Start_Current * .01):
break
#############################
### Back to Center
#############################
M.Ramp_Two(Client,
WF6H_Tag,
WF7H_Tag,
Magnet_1_Stop=WF6H_Start,
Magnet_2_Stop=WF7H_Start,
Resolution=Right_Steps)
#############################
### To the left
#############################
Full_Data_Set.append([
M.Read(Client, WF6H_Tag),
M.Read(Client, WF7H_Tag),
M.Read(Client, WF6V_Tag),
M.Read(Client, WF7V_Tag),
M.Read(Client, Target_Tag, Average=True, count=count,
sleep_time=sleep),
M.Read(Client,
