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Sleeping
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Update app.py
Browse files
app.py
CHANGED
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@@ -7,6 +7,7 @@ import plotly.graph_objects as go
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from PIL import Image
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import time
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import io
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# Set page config with wider layout
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st.set_page_config(
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@@ -115,6 +116,30 @@ if not os.path.exists(executable) or st.sidebar.button("Recompile C++ Code"):
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os.chmod(executable, 0o755)
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st.success("C++ code compiled successfully")
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# Create tabs for different analyses
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tab1, tab2 = st.tabs(["Eigenvalue Analysis", "Im(s) vs z Analysis"])
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@@ -172,6 +197,9 @@ with tab1:
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help="Convergence tolerance for golden section search",
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key="eig_tolerance"
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)
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# Generate button
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eig_generate_button = st.button("Generate Eigenvalue Analysis",
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@@ -198,14 +226,14 @@ with tab1:
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status_text = st.empty()
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try:
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#
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data_file = os.path.join(output_dir, "eigenvalue_data.json")
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# Delete previous output if exists
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if os.path.exists(data_file):
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os.remove(data_file)
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#
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cmd = [
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executable,
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"eigenvalues",
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@@ -219,41 +247,28 @@ with tab1:
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data_file
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]
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stderr=subprocess.PIPE,
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text=True
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)
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# Show output in a status area
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status_text.text("Starting calculations...")
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progress_value = float(output.split(":")[1].strip())
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progress_bar.progress(progress_value)
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last_progress = progress_value
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status_text.text(f"Calculating... {int(progress_value * 100)}% complete")
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except:
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pass
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else:
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status_text.text(output.strip())
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time.sleep(0.1)
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return_code = process.poll()
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if return_code != 0:
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error = process.stderr.read()
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st.error(f"Error executing the analysis: {error}")
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else:
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progress_bar.progress(1.0)
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status_text.text("
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# Load the results from the JSON file
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with open(data_file, 'r') as f:
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@@ -409,6 +424,8 @@ with tab1:
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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else:
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# Try to load existing data if available
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@@ -567,6 +584,9 @@ with tab2:
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key="cubic_points"
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)
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# Show cubic equation
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st.markdown('<div class="math-box">', unsafe_allow_html=True)
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st.markdown("### Cubic Equation")
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@@ -605,7 +625,7 @@ with tab2:
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if os.path.exists(data_file):
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os.remove(data_file)
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#
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cmd = [
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executable,
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"cubic",
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@@ -616,19 +636,28 @@ with tab2:
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data_file
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]
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status_text.text("Calculating Im(s) vs z values...")
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st.error(f"Error executing the analysis: {process.stderr}")
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else:
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status_text.text("Calculations complete! Generating visualization...")
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# Load the results from the JSON file
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with open(data_file, 'r') as f:
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data = json.load(f)
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@@ -758,6 +787,8 @@ with tab2:
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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else:
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# Try to load existing data if available
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from PIL import Image
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import time
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import io
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import sys
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# Set page config with wider layout
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st.set_page_config(
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os.chmod(executable, 0o755)
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st.success("C++ code compiled successfully")
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# Helper function for running commands with better debugging
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def run_command(cmd, show_output=True):
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cmd_str = " ".join(cmd)
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if show_output:
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st.code(f"Running command: {cmd_str}", language="bash")
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process = subprocess.Popen(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True
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)
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stdout, stderr = process.communicate()
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if process.returncode != 0:
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if show_output:
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st.error(f"Command failed with return code {process.returncode}")
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st.error(f"Command: {cmd_str}")
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st.error(f"Error output: {stderr}")
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return False, stdout, stderr
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return True, stdout, stderr
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# Create tabs for different analyses
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tab1, tab2 = st.tabs(["Eigenvalue Analysis", "Im(s) vs z Analysis"])
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help="Convergence tolerance for golden section search",
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key="eig_tolerance"
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)
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# Debug mode
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debug_mode = st.checkbox("Debug Mode", value=False, key="eig_debug")
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# Generate button
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eig_generate_button = st.button("Generate Eigenvalue Analysis",
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status_text = st.empty()
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try:
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# Create data file path
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data_file = os.path.join(output_dir, "eigenvalue_data.json")
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# Delete previous output if exists
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if os.path.exists(data_file):
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os.remove(data_file)
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# Build command for eigenvalue analysis
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cmd = [
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executable,
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"eigenvalues",
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data_file
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]
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# Run the command with our helper function
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status_text.text("Running eigenvalue analysis...")
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success, stdout, stderr = run_command(cmd, debug_mode)
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if not success:
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st.error("Eigenvalue analysis failed. Please check the debug output.")
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if debug_mode:
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st.text("Command output:")
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st.code(stdout)
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st.text("Error output:")
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st.code(stderr)
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else:
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progress_bar.progress(1.0)
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status_text.text("Analysis complete! Generating visualization...")
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# Check if the output file was created
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if not os.path.exists(data_file):
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st.error(f"Output file not created: {data_file}")
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if debug_mode:
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st.text("Command output:")
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st.code(stdout)
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st.stop()
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# Load the results from the JSON file
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with open(data_file, 'r') as f:
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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if debug_mode:
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st.exception(e)
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else:
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# Try to load existing data if available
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key="cubic_points"
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)
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# Debug mode
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cubic_debug_mode = st.checkbox("Debug Mode", value=False, key="cubic_debug")
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# Show cubic equation
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st.markdown('<div class="math-box">', unsafe_allow_html=True)
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st.markdown("### Cubic Equation")
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if os.path.exists(data_file):
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os.remove(data_file)
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# Build command for cubic equation analysis
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cmd = [
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executable,
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"cubic",
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data_file
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]
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# Run the command with our helper function
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status_text.text("Calculating Im(s) vs z values...")
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success, stdout, stderr = run_command(cmd, cubic_debug_mode)
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if not success:
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st.error("Cubic equation analysis failed. Please check the debug output.")
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if cubic_debug_mode:
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st.text("Command output:")
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st.code(stdout)
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st.text("Error output:")
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st.code(stderr)
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else:
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status_text.text("Calculations complete! Generating visualization...")
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# Check if the output file was created
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if not os.path.exists(data_file):
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st.error(f"Output file not created: {data_file}")
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if cubic_debug_mode:
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st.text("Command output:")
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st.code(stdout)
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st.stop()
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# Load the results from the JSON file
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with open(data_file, 'r') as f:
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data = json.load(f)
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except Exception as e:
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st.error(f"An error occurred: {str(e)}")
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if cubic_debug_mode:
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st.exception(e)
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else:
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# Try to load existing data if available
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