semvec/pypi-packages huggingface dataset:
sistema-bancario87 0.0.1
Um projeto de teste para validar os meus conhecimentos adequeridos na plataforma da DIO
Requires Python: >=3.9

# package_name

Description. 
The package sistema_bancario is used to:
	banco: 
		-Fins educativos sem utilidades reais.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install sistema_bancario

```bash
pip install sistema_bancario
```

## Usage

```python
from sistema_bancario.banco import banco
banco.teste("Hello World!")
```

## Author
Matthew Henry 

## License
[MIT](https://choosealicense.com/licenses/mit/)
cmlattice 0.0.3
An implementation of coupled map lattices.
Requires Python: >=3.13

# cmlattice

cmlattice provides a python implementation of various types of coupled map lattices. A coupled map lattice, or CML, is a dynamic system that models the behavior of nonlinear systems.

This package contains several different models, all of which can be broadly described as cmls:

* A standard CML with logistic state function,
* The CML model primarily studied by Kaneko[^1],
* The Rulkov Map[^2]

# A Standard CML

```python
# initialize the lattice object
lattice = CoupledMapLattice(n=10, r=4, mu=0, sigma=1)

# run a hundred step simulation
STEPS = 100
sim_gen = lattice.simulate(STEPS)

# unpack the generator
sim = list(sim_gen)

# finally, vizualize your simulation
viz = Visualization(lattice)
v = viz.animate()
```

![A cml with 10 nuerons, in a stable regime](docs/assets/animated_example.gif)

# A Kaneko Lattice

```python
# initialize the lattice object
lattice = KanekoLattice(n=10, r=4, mu=0, sigma=1)

# run a hundred step simulation
STEPS = 100
sim_gen = lattice.simulate(STEPS)

# unpack the generator
sim = list(sim_gen)

# finally, vizualize your simulation
viz = Visualization(lattice)
v = viz
```

![A coupled kaneko](docs/assets/coupled_kaneko.gif)

# An Uncoupled Rulkov Lattice

```python
# initialize the lattice object
lattice = RulkovLattice(n=10, r=4, mu=0, sigma=1, epsilon=1)

# run a hundred step simulation
STEPS = 100
sim_gen = lattice.simulate(STEPS)

# unpack the generator
sim = list(sim_gen)

# finally, vizualize your simulation
viz = Visualization(lattice)
v = viz
```

![A uncoupled rulkov](docs/assets/uncoupled_rulkov.gif)

## Chaos

These models are particularly useful in studying choatic, dynamic systems. For example, in one dimension choosing an r parameter of greater than 3.57 for a standard lattice will behave choatically.

### Citations

[^1]: Kunihiko Kaneko, Period-Doubling of Kink-Antikink Patterns, Quasiperiodicity in Antiferro-Like Structures and Spatial Intermittency in Coupled Logistic Lattice: Towards a Prelude of a “Field Theory of Chaos”, Progress of Theoretical Physics, Volume 72, Issue 3, September 1984, Pages 480–486, https://doi.org/10.1143/PTP.72.480

[^2]:  N.F. Rulkov (2001). "Regularization of Synchronized Chaotic Bursts". Physical Review Letters. 86 (1): 183–186. arXiv:nlin/0011028. Bibcode:2001PhRvL..86..183R. doi:10.1103/physrevlett.86.183. PMID 11136124. S2CID 7016788