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import importlib

from typing import Any

def check_dependency(package_name: str) -> str:

"""Check if a package is installed and return its version status."""

package_message = {

"pandas": "Data manipulation ready",

"numpy": "Numerical computation ready",

"requests": "Network access ready",

"matplotlib": "Visualization ready",

}

try:

module = importlib.import_module(package_name)

return (f"[OK] {package_name} ({module.__version__})"

f" - {package_message[package_name]}")

except ImportError:

return f"[KO] {package_name} not found"

def analyze_data() -> Any:

"""Generate 1000-point Matrix signal data using numpy

and return a DataFrame."""

print("Analyzing Matrix data...")

try:

print("Processing 1000 data points...")

import pandas

import numpy

data = {

"time": numpy.arange(1000),

"signal": numpy.random.randn(1000)

}

return pandas.DataFrame(data)

except Exception as e:

print(f"Error during analysis: {e}")

return None

def create_visualization(data: Any) -> None:

"""Plot the Matrix signal data and save it as a PNG file."""

try:

import matplotlib.pyplot as plt

print("Generating visualization...\n")

plt.plot(data["time"], data["signal"])

plt.title("Matrix Signal Analysis")

plt.xlabel("Time")

plt.ylabel("Signal")

plt.savefig("matrix_analysis.png")

print("Analysis complete!")

print("Results saved to: matrix_analysis.png")

except Exception as e:

print(f"Error during visualization: {e}")

if __name__ == "__main__":

print("\nLOADING STATUS: Loading programs...\n")

print("Checking dependencies:")

dependencies = ["pandas", "numpy", "requests", "matplotlib"]

check_flag = True

for dependency in dependencies:

val = check_dependency(dependency)

if "[KO]" in val:

check_flag = False

print(val)

if check_flag:

print()

data = analyze_data()

create_visualization(data)

else:

print("\nNothing To Analyse !")