Metadata-Version: 2.1
Name: RiskSimp
Version: 0.1.4
Summary: RiskSimp is a versatile Python library designed to streamline the management and manipulation of random variables to empower analysts to effortlessly integrate random distributions into their processes, facilitating non-deterministic analysis 
Home-page: https://github.com/FabioSol/RiskSimp.git
Author: Fabio Sol
Author-email: fabioso2231@gmail.com
License: MIT
Description-Content-Type: text/markdown
License-File: LICENSE

# RiskSimp: Simplifying Random Variables and Simulation in Python

**Version: 0.1.0**

RiskSimp is a versatile Python library designed to streamline the management and manipulation of random variables, empowering analysts to effortlessly integrate random distributions into their processes and facilitate non-deterministic analysis.

## Table of Contents

-   [Installation](#installation)
-   [Usage](#usage)
-   [Modules](#modules)
    -   [Objects](#objects)
    -   [Utils](#utils)
    -   [Variables](#variables)
        -   [Continuous](#continuous)
        -   [Discrete](#discrete)
        -   [Constant](#constant)
-   [Example](#example)
-   [License](#license)

## Installation {#installation}

You can install RiskSimp using pip:

``` bash
pip install RiskSimp
```

## Usage {#usage}

Import the required modules and classes from RiskSimp:

``` python
from RiskSimp import Continuous, Discrete, Constant, Simulation
```

## Modules {#modules}

### Objects {#objects}

In the "objects" module, you'll find the base classes used throughout the library.

### Utils {#utils}

The "utils" module contains classes to simulate processes with random variables.

### Variables {#variables}

The "variables" module houses various classes for different types of random variables.

#### Continuous {#continuous}

-   Uniform(cls, a: Union[int, float], b: Union[int, float])
-   Triangular(cls, min_val: Union[int, float], mode: Union[int, float], max_val: Union[int, float])
-   Normal(cls, mean: Union[int, float], std_dev: Union[int, float])
-   Exponential(cls, scale: Union[int, float])
-   Beta(cls, alpha: Union[int, float], beta: Union[int, float])
-   Gamma(cls, shape: Union[int, float], scale: Union[int, float])
-   Weibull(cls, alpha: Union[int, float], beta: Union[int, float])
-   LogNormal(cls, mean: Union[int, float], std_dev: Union[int, float])

#### Discrete {#discrete}

-   Poisson(cls, lam: Union[int, float])
-   Uniform(cls, a: int, b: int)
-   Triangular(cls, min_val: int, mode: int, max_val: int)
-   Binomial(cls, n: int, p: float)
-   Bernoulli(cls, p: float, v_occurrence: Union[int, float] = 1, v_non_occurrence: Union[int, float] = 0)

#### Constant {#constant}

-   Constant(subclass of Distribution): Represents a non-random constant value.

## Example {#example}

``` python
from RiskSimp import *
import numpy_financial as npf


def restaurante(adecuacion,
                costo_fijo,
                costo_variable,
                inflacion,
                precio_cerveza,
                precio_alitas,
                afluencia_anual,
                variacion_demanda,
                tasa_de_comparacion,
                tasa_descuento):
    years = 11
    adec = [0] * years
    adec[0] = adecuacion
    c_fijo = [costo_fijo * (1 + inflacion) ** i for i in range(years)]
    demanda = [0] + [round(afluencia_anual * (1 + variacion_demanda) ** i) for i in range(years - 1)]
    p_cerveza = [0] + [precio_cerveza * (1 + inflacion) ** i for i in range(years - 1)]
    p_alitas = [0] + [precio_alitas * (1 + inflacion) ** i for i in range(years - 1)]
    ingreso_cerveza = [p * d for p, d in zip(p_cerveza, demanda)]
    ingreso_alitas = [p * d for p, d in zip(p_alitas, demanda)]
    ingreso = [c + a for c, a in zip(ingreso_cerveza, ingreso_alitas)]
    c_variable = [i * costo_variable for i in ingreso]

    flujo = [ing - fij - var - inv for ing, fij, var, inv in zip(ingreso, c_fijo, c_variable, adec)]
    return npf.npv(tasa_descuento, [0] + flujo), npf.irr(flujo)



adecuacion = Constant(1_500_000_000)
adecuacion.change_name("adecuacion")
costo_fijo = Constant(5_000_000)
costo_fijo.change_name("costo_fijo")
costo_variable = Continuous.Uniform(.01, .04)
costo_variable.change_name("costo_variable")
inflacion = Continuous.Normal(.047, 0.002)
inflacion.change_name("inflacion")
precio_cerveza = Continuous.Triangular(12_000, 13_500, 15_000)
precio_cerveza.change_name("precio_cerveza")
precio_alitas = Continuous.Uniform(25_000, 30_000)
precio_alitas.change_name("precio_alitas")
afluencia_anual = Continuous.Triangular(4000, 6000, 8000)
afluencia_anual.change_name("afluencia_anual")
variacion_demanda = Continuous.Uniform(0.02, 0.04)
variacion_demanda.change_name("variacion_demanda")
tasa_de_comparacion = Constant(0.14)
tasa_de_comparacion.change_name("tasa_de_comparacion")
tasa_descuento = Constant(0.1522)
tasa_descuento.change_name("tasa_descuento")

sim = Simulation(restaurante)
sim.set_inputs(adecuacion,
               costo_fijo,
               costo_variable,
               inflacion,
               precio_cerveza,
               precio_alitas,
               afluencia_anual,
               variacion_demanda,
               tasa_de_comparacion,
               tasa_descuento)

sim.complete_analisys()
```

Output:

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## License {#license}

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
