EcoSim

Name	EcoSim JSON
Version	0.0.1 JSON
	download
home_page	https://github.com/FlacSy/EcoSim
Summary	A library for ecological systems modeling and simulations
upload_time	2024-05-30 11:33:47
maintainer	None
docs_url	None
author	FlacSy
requires_python	None
license	None
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # EcoSim

EcoSim - это библиотека для проведения симуляций экосистем с учетом множества факторов.

## Установка

Установка производится через pip:

```bash
pip install ecosim
```

Для установки последней версии из репозитория:

```bash
pip install git+https://github.com/FlacSy/EcoSim
```

## Быстрый старт

### Импорт и использование библиотеки

```python
from ecosim import Climate, AnimalPopulation, PlantDistribution, Ecosystem, PredatorPreyPopulation, plot_simulation

def main():
    # Создание объектов, описывающих климат, популяцию животных, распределение растений и взаимодействие хищник-жертва
    climate = Climate(initial_temperature=15.0, temperature_variability=1.0, initial_precipitation=100.0, precipitation_variability=10.0)
    animal_population = AnimalPopulation(initial_population=100, birth_rate=0.1, death_rate=0.05, migration_rate=0.01)
    plant_distribution = PlantDistribution(initial_distribution=1000, spread_rate=50, competition_factor=0.01)
    predator_prey_population = PredatorPreyPopulation(prey_population=500, predator_population=50, prey_birth_rate=0.2, predator_birth_rate=0.1, predation_rate=0.01, predator_death_rate=0.05)

    # Создание экосистемы с учетом заданных параметров
    ecosystem = Ecosystem(climate, animal_population, plant_distribution, predator_prey_population)

    # Подготовка данных для симуляции
    data = {
        'Temperature': [],
        'Precipitation': [],
        'Animal Population': [],
        'Plant Distribution': [],
        'Prey Population': [],
        'Predator Population': []
    }

    # Симуляция на протяжении 50 лет
    for year in range(50):
        ecosystem.simulate_year()
        # Запись данных о состоянии экосистемы
        data['Temperature'].append(climate.temperature)
        data['Precipitation'].append(climate.precipitation)
        data['Animal Population'].append(animal_population.population)
        data['Plant Distribution'].append(plant_distribution.distribution)
        data['Prey Population'].append(predator_prey_population.prey_population)
        data['Predator Population'].append(predator_prey_population.predator_population)
    
    # Визуализация результатов симуляции
    plot_simulation(data, 'Ecosystem Simulation Over 50 Years').show()

if __name__ == '__main__':
    main()

```

## Лицензия

EcoSim распространяется под [MIT License](LICENSE). Подробности доступны в файле LICENSE.

            

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    "description": "# EcoSim\r\n\r\nEcoSim - \u044d\u0442\u043e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 \u0434\u043b\u044f \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u044f \u0441\u0438\u043c\u0443\u043b\u044f\u0446\u0438\u0439 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c \u0441 \u0443\u0447\u0435\u0442\u043e\u043c \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u0430 \u0444\u0430\u043a\u0442\u043e\u0440\u043e\u0432.\r\n\r\n## \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430\r\n\r\n\u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u0447\u0435\u0440\u0435\u0437 pip:\r\n\r\n```bash\r\npip install ecosim\r\n```\r\n\r\n\u0414\u043b\u044f \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0438 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 \u0438\u0437 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u044f:\r\n\r\n```bash\r\npip install git+https://github.com/FlacSy/EcoSim\r\n```\r\n\r\n## \u0411\u044b\u0441\u0442\u0440\u044b\u0439 \u0441\u0442\u0430\u0440\u0442\r\n\r\n### \u0418\u043c\u043f\u043e\u0440\u0442 \u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438\r\n\r\n```python\r\nfrom ecosim import Climate, AnimalPopulation, PlantDistribution, Ecosystem, PredatorPreyPopulation, plot_simulation\r\n\r\ndef main():\r\n    # \u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432, \u043e\u043f\u0438\u0441\u044b\u0432\u0430\u044e\u0449\u0438\u0445 \u043a\u043b\u0438\u043c\u0430\u0442, \u043f\u043e\u043f\u0443\u043b\u044f\u0446\u0438\u044e \u0436\u0438\u0432\u043e\u0442\u043d\u044b\u0445, \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0440\u0430\u0441\u0442\u0435\u043d\u0438\u0439 \u0438 \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0445\u0438\u0449\u043d\u0438\u043a-\u0436\u0435\u0440\u0442\u0432\u0430\r\n    climate = Climate(initial_temperature=15.0, temperature_variability=1.0, initial_precipitation=100.0, precipitation_variability=10.0)\r\n    animal_population = AnimalPopulation(initial_population=100, birth_rate=0.1, death_rate=0.05, migration_rate=0.01)\r\n    plant_distribution = PlantDistribution(initial_distribution=1000, spread_rate=50, competition_factor=0.01)\r\n    predator_prey_population = PredatorPreyPopulation(prey_population=500, predator_population=50, prey_birth_rate=0.2, predator_birth_rate=0.1, predation_rate=0.01, predator_death_rate=0.05)\r\n\r\n    # \u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0441 \u0443\u0447\u0435\u0442\u043e\u043c \u0437\u0430\u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432\r\n    ecosystem = Ecosystem(climate, animal_population, plant_distribution, predator_prey_population)\r\n\r\n    # \u041f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f \u0441\u0438\u043c\u0443\u043b\u044f\u0446\u0438\u0438\r\n    data = {\r\n        'Temperature': [],\r\n        'Precipitation': [],\r\n        'Animal Population': [],\r\n        'Plant Distribution': [],\r\n        'Prey Population': [],\r\n        'Predator Population': []\r\n    }\r\n\r\n    # \u0421\u0438\u043c\u0443\u043b\u044f\u0446\u0438\u044f \u043d\u0430 \u043f\u0440\u043e\u0442\u044f\u0436\u0435\u043d\u0438\u0438 50 \u043b\u0435\u0442\r\n    for year in range(50):\r\n        ecosystem.simulate_year()\r\n        # \u0417\u0430\u043f\u0438\u0441\u044c \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0438 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c\u044b\r\n        data['Temperature'].append(climate.temperature)\r\n        data['Precipitation'].append(climate.precipitation)\r\n        data['Animal Population'].append(animal_population.population)\r\n        data['Plant Distribution'].append(plant_distribution.distribution)\r\n        data['Prey Population'].append(predator_prey_population.prey_population)\r\n        data['Predator Population'].append(predator_prey_population.predator_population)\r\n    \r\n    # \u0412\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432 \u0441\u0438\u043c\u0443\u043b\u044f\u0446\u0438\u0438\r\n    plot_simulation(data, 'Ecosystem Simulation Over 50 Years').show()\r\n\r\nif __name__ == '__main__':\r\n    main()\r\n\r\n```\r\n\r\n## \u041b\u0438\u0446\u0435\u043d\u0437\u0438\u044f\r\n\r\nEcoSim \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 [MIT License](LICENSE). \u041f\u043e\u0434\u0440\u043e\u0431\u043d\u043e\u0441\u0442\u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u0432 \u0444\u0430\u0439\u043b\u0435 LICENSE.\r\n",
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