Create blank.yml

Here’s a complete outline and code template for a **Tesla coil simulation (Python, circuit/field simulation)** with these features:

- **Parameter input from the command line**
- **Field visualization (magnetic field)**
- **Comprehensive documentation**

---

## 1. Directory Structure

```
tesla-coil-simulation/
├── main.py
├── requirements.txt
└── README.md
```

---

## 2. main.py

```python
import numpy as np
from scipy.integrate import solve_ivp
import matplotlib.pyplot as plt
import argparse

def parse_args():
    parser = argparse.ArgumentParser(description='Tesla Coil RLC Simulation with Field Visualization')
    parser.add_argument('--L1', type=float, default=20e-6, help='Primary inductance (H)')
    parser.add_argument('--L2', type=float, default=80e-3, help='Secondary inductance (H)')
    parser.add_argument('--C1', type=float, default=10e-9, help='Primary capacitance (F)')
    parser.add_argument('--C2', type=float, default=50e-12, help='Secondary capacitance (F)')
    parser.add_argument('--R1', type=float, default=0.2, help='Primary resistance (Ohm)')
    parser.add_argument('--R2', type=float, default=1000, help='Secondary resistance (Ohm)')
    parser.add_argument('--M', type=float, default=2e-4, help='Mutual inductance (H)')
    parser.add_argument('--V0', type=float, default=5000, help='Initial voltage on C1 (V)')
    parser.add_argument('--tmax', type=float, default=0.0005, help='Simulation time (s)')
    parser.add_argument('--field', action='store_true', help='Plot magnetic field visualization')
    return parser.parse_args()

def circuit(t, y, args):
    I1, Vc1, I2, Vc2 = y
    dI2_dt_val = (Vc2 - args.R2 * I2) / args.L2
    dI1_dt = (Vc1 - args.R1 * I1 - args.M * dI2_dt_val) / args.L1
    dVc1_dt = -I1 / args.C1
    dI2_dt = (Vc2 - args.R2 * I2 - args.M * dI1_dt) / args.L2
    dVc2_dt = -I2 / args.C2
    return [dI1_dt, dVc1_dt, dI2_dt, dVc2_dt]

def plot_currents(t_eval, I1, I2):
    plt.figure(figsize=(10, 6))
    plt.plot(t_eval * 1e3, I1, label='Primary Current (I1)')
    plt.plot(t_eval * 1e3, I2, label='Secondary Current (I2)')
    plt.xlabel('Time (ms)')
    plt.ylabel('Current (A)')
    plt.title('Coupled RLC Circuit Simulation (Tesla Coil)')
    plt.legend()
    plt.grid()
    plt.tight_layout()
    plt.show()

def plot_magnetic_field(I2_peak):
    # Visualize magnetic field in the plane around the coil
    mu0 = 4 * np.pi * 1e-7
    N = 100  # coil turns
    R = 0.1  # coil radius (m)
    x = np.linspace(-0.2, 0.2, 100)
    y = np.linspace(-0.2, 0.2, 100)
    X, Y = np.meshgrid(x, y)
    Z = 0  # field in XY plane at center
    r = np.sqrt(X**2 + Y**2 + Z**2)
    Bz = mu0 * N * I2_peak * R**2 / (2 * (r**3 + 1e-12))  # add epsilon to avoid division by zero
    plt.figure(figsize=(6, 5))
    plt.contourf(X, Y, Bz, 50, cmap='viridis')
    plt.colorbar(label='Magnetic Field Bz (T)')
    plt.title('Magnetic Field around Secondary Coil (Peak)')
    plt.xlabel('x (m)')
    plt.ylabel('y (m)')
    plt.axis('equal')
    plt.show()

def main():
    args = parse_args()
    y0 = [0, args.V0, 0, 0]
    t_span = (0, args.tmax)
    t_eval = np.linspace(*t_span, 2000)
    sol = solve_ivp(lambda t, y: circuit(t, y, args), t_span, y0, t_eval=t_eval, method='RK45')
    I1, Vc1, I2, Vc2 = sol.y
    plot_currents(t_eval, I1, I2)
    if args.field:
        I2_peak = np.max(np.abs(I2))
        plot_magnetic_field(I2_peak)

if __name__ == "__main__":
    main()
```

---

## 3. requirements.txt

```
numpy
scipy
matplotlib
```

---

## 4. README.md

```markdown
# Tesla Coil RLC Simulation

This Python project simulates a Tesla coil as a coupled RLC circuit and optionally visualizes the magnetic field around the secondary coil.

## Features

- Command-line parameter input for circuit values (inductance, capacitance, resistance, etc.)
- Visualizes primary and secondary coil currents
- Optional magnetic field visualization around the secondary coil

## Usage

1. Install dependencies:

   ```
   pip install -r requirements.txt
   ```

2. Run with default parameters:

   ```
   python main.py
   ```

3. Customize parameters via command line (example):

   ```
   python main.py --L1 25e-6 --L2 90e-3 --C1 12e-9 --R2 1500 --V0 6000 --tmax 0.001
   ```

4. Add `--field` to visualize the magnetic field:

   ```
   python main.py --field
   ```

## Parameters

- `--L1`: Primary inductance (H)
- `--L2`: Secondary inductance (H)
- `--C1`: Primary capacitance (F)
- `--C2`: Secondary capacitance (F)
- `--R1`: Primary resistance (Ohm)
- `--R2`: Secondary resistance (Ohm)
- `--M`: Mutual inductance (H)
- `--V0`: Initial voltage on C1 (V)
- `--tmax`: Simulation time (s)
- `--field`: Plot magnetic field visualization

## License

MIT License
```

---

**This template is ready to use as a GitHub repository.**  
If you’d like more advanced field visualization (e.g., vector fields or 3D), or integration with Jupyter notebooks, let me know!

Author: akhilsmokie7-cloud

.github/workflows/blank.yml

@@ -0,0 +1,36 @@
+# This is a basic workflow to help you get started with Actions
+
+name: CI
+
+# Controls when the workflow will run
+on:
+  # Triggers the workflow on push or pull request events but only for the "main" branch
+  push:
+    branches: [ "main" ]
+  pull_request:
+    branches: [ "main" ]
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+# A workflow run is made up of one or more jobs that can run sequentially or in parallel
+jobs:
+  # This workflow contains a single job called "build"
+  build:
+    # The type of runner that the job will run on
+    runs-on: ubuntu-latest
+
+    # Steps represent a sequence of tasks that will be executed as part of the job
+    steps:
+      # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
+      - uses: actions/checkout@v4
+
+      # Runs a single command using the runners shell
+      - name: Run a one-line script
+        run: echo Hello, world!
+
+      # Runs a set of commands using the runners shell
+      - name: Run a multi-line script
+        run: |
+          echo Add other actions to build,
+          echo test, and deploy your project.