Alignment to spicelib 1.0.3

README.md

@@ -432,7 +432,11 @@ _Make sure to initialize the root logger before importing the library to be able
 * Alternative contact : [nuno.brum@gmail.com](mailto:nuno.brum@gmail.com)
 
 ## History ##
-Version 5.2
+* Version 5.3
+  * Correction on the run_montecarlo.py and run_worst_case.py examples.
+  * Fixes on the spicelib (Version 1.0.3)
+
+* Version 5.2
   * SimAnalysis supporting both Qspice and LTSpice logfiles.
   * FastWorstCaseAnalysis algorithm implemented
   * Fix on the log reading of fourier data.

examples/run_montecarlo.py

@@ -22,6 +22,18 @@
 
 mc.run_testbench(runs_per_sim=100)  # Runs the simulation with splits of 100 runs each
 logs = mc.read_logfiles()   # Reads the log files and stores the results in the results attribute
-logs.export_data('./temp_mc/data.csv')  # Exports the data to a csv file
+logs.obtain_amplitude_and_phase_from_complex_values()  # Splits the complex values into real and imaginary parts
+logs.export_data('./temp_mc/data_testbench.csv')  # Exports the data to a csv file
 logs.plot_histogram('fcut')  # Plots the histograms for the results
 mc.cleanup_files()  # Deletes the temporary files
+
+print("=====================================")
+# Now using the second method, where the simulations are ran one by one
+mc.clear_simulation_data()  # Clears the simulation data
+mc.reset_netlist()  # Resets the netlist to the original
+mc.run_analysis(num_runs=1000)  # Runs the 1000 simulations
+logs = mc.read_logfiles()   # Reads the log files and stores the results in the results attribute
+logs.export_data('./temp_mc/data_sims.csv')  # Exports the data to a csv file
+logs.plot_histogram('fcut')  # Plots the histograms for the results
+mc.cleanup_files()  # Deletes the temporary files
+

pyproject.toml

@@ -15,7 +15,7 @@ readme = "README.md"
 license = { file="LICENSE" }
 requires-python = ">=3.8"
 dependencies = [
-    "spicelib>=0.9",
+    "spicelib>=1.0.3",
 ]
 classifiers=[
     "Programming Language :: Python :: 3",