### Install PyFastNoiseLite

Source: https://github.com/tizilogic/pyfastnoiselite/blob/main/README.md

Install the PyFastNoiseLite package using pip. Replace 'pip' with 'pip3' if necessary on your system.

```bash
pip install pyfastnoiselite  # On some systems, "pip" has to be replaced by "pip3"
```

--------------------------------

### Initialize and Get 2D Noise

Source: https://github.com/tizilogic/pyfastnoiselite/blob/main/README.md

Initialize FastNoiseLite with a seed and retrieve 2D noise values for given coordinates. The default noise type is OpenSimplex2, but it can be explicitly set.

```python
from pyfastnoiselite.pyfastnoiselite import FastNoiseLite, NoiseType

# Initializing with seed
noise = FastNoiseLite(seed=1337)
# Set noise type (optional, defaults to OpenSimplex2)
noise.noise_type = NoiseType.NoiseType_OpenSimplex2S

# Get 2D noise
print(noise.get_noise(34, 22)) # 0.7130074501037598
print(noise.get_noise(100, 110)) # -0.614801287651062
```

--------------------------------

### Get 3D Noise

Source: https://github.com/tizilogic/pyfastnoiselite/blob/main/README.md

Generate 3D noise values using the initialized FastNoiseLite object for specified X, Y, and Z coordinates.

```python
# Get 3D noise
print(noise.get_noise(95, 100, 30)) # -0.45421651005744934
```

--------------------------------

### Generate Noise from Coordinates Array

Source: https://github.com/tizilogic/pyfastnoiselite/blob/main/README.md

Generate noise values for multiple 3D coordinates provided as a NumPy array. Ensure the coordinates are of type float32.

```python
import numpy as np

Xs = [3, 57, 95]
Ys = [4, 13, 100]
Zs = [0, -4, 30]
coords = np.array([Xs, Ys, Zs], dtype=np.float32)
# Generate noise for each coordinate
print(noise.gen_from_coords(coords)) # [0.11303097 -0.5841235  -0.45224023]
```

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