Sripts part 2

.gitignore

@@ -5,4 +5,5 @@ dlls/
 *.vs
 *bin/
 *obj/
-*.vs
\ No newline at end of file
+*.vs
+*build/
\ No newline at end of file

scripts/debug.bat

+cd ..
+C:/Users/intermagadmin/miniconda3/python.exe c:/Users/intermagadmin/Documents/minimoke/__main__.py
\ No newline at end of file

scripts/readme.md

+# Scripts
+## Debug
+
+The debug batch script is used for debug only, this using directly using the files in the 'src' folder.
+This is useful to quickly check what you modified.
+
+## Build
+
+The build batch script is used to generate an executable file from the source files.
+This allow to properly generate the sofware and to compile (more stable and faster).
+
+The shorcut on the desktop directly links the built executable.
\ No newline at end of file

src/classes/dac_class.py

@@ -23,7 +23,7 @@ class DAC:
         """
         self.reserved = False
         self.status_setup = False
-        self.constant_output = [0., 0.]
+        self.constant_output = 0.
         self.setup_dac()
 
     def __del__(self) -> None:
@@ -58,7 +58,7 @@ class DAC:
         Set the constant output value for the DC output.
 
         Args:
-            constant (list of float): The constant output value for each output.
+            constant (float): The constant output value (DC Value)
         """
         self.constant_output = constant
  
@@ -133,7 +133,7 @@ class DAC:
 
         output_values = np.array([self.reference_signal1_1f[0] * self.modulation_amp[0],
                                   self.reference_signal2_1f[0] * self.modulation_amp[1],
-                                  np.full(len(self.reference_signal1_1f[0]), self.constant_output[0])])
+                                  np.full(len(self.reference_signal1_1f[0]), self.constant_output)])
 
         self.output.write(output_values, auto_start=True)
 
@@ -154,15 +154,15 @@ class DAC:
         self.input.wait_until_done()
 
         # Read the measurement from the DAC buffer
-        data_ai0, data_ai1 = self.input.read(number_of_samples_per_channel=len(self.reference_signal_1f[0]))
+        data_ai0, data_ai1 = self.input.read(number_of_samples_per_channel=len(self.reference_signal1_1f[0]))
 
         # We use the lowest frequency to set the aquisition time in order to have an integer number of periods at this frequency
         # We now crop the data for the highest frequency for the same purpose, allowing us to have a mean value for a pure sinus
         # close to 0.
         max_idx_hf = int(np.floor(1/np.max(self.f) * self.sampling_rate * np.floor(self.acquisition_time*np.max(self.f))))
 
-        if self.freq[1] > self.freq[0]:     data_ai1 = data_ai1[max_idx_hf]
-        else:                               data_ai0 = data_ai0[max_idx_hf]
+        if self.f[1] > self.f[0]:     data_ai1 = data_ai1[max_idx_hf]
+        else:                         data_ai0 = data_ai0[max_idx_hf]
 
         # Stop the tasks
         self.output.stop()

src/ui/live_tab_ui.py

@@ -39,7 +39,7 @@ class VoltageThread(QThread):
         while True:
             if not dac.reserved:
                 if not dac.status_setup:
-                    dac.setup_aquisition(acquisition_time=0.5, modulation_amp=0.)
+                    dac.setup_aquisition(acquisition_time=0.5, modulation_amp=[0.,0.])
                     dac.set_constant_output(0.)
                 dac.start_tasks()
                 balanced_diodes_data, intensity_diode_data = dac.read_data()

src/ui/usermanual_tab_ui.py

@@ -26,7 +26,7 @@ class UserManualTab(TabWidget, QTextBrowser):
         super().__init__(parent)
         self.name = name
 
-        with open("src/user_manual.md", "r", encoding="utf-8") as file:
+        with open("doc/user_manual.md", "r", encoding="utf-8") as file:
             content = file.read()
 
         html = markdown.markdown(content)