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danielwilczak101
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# EasyGA - A general solution to Genetic Algorithms
The projects has just started
## Installation
Run the rolling to install:
```Python
pip3 install EasyGA
```
To use the package
```python
import EasyGA as ga
```
## Usage
```python
import EasyGA as ga
chromosome = ga.chromosome()
# Fill the chromosome with genes with Gene Number i'th number
for i in range(10):
gene_value = f"Gene Number {i}"
new_gene = ga.gene("gene_value")
chromosome.add_gene(new_gene)
# Chromosome has 10 genes in it
print(len(chromosome.genes))
# Get the first genes value
print(chromosome.genes[0].get_value())
```
# Developing EasyGA
To install EASY, along with the tools you need to develop and run tests, run the following in your virtual env:
```bash
$ pip install -e .[dev]
```

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# Tests for the ga

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from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='EasyGA',
version='0.0.6',
description='A ubiquitous or general purpuse GA',
py_modules=["EasyGA"],
package_dir={'':'src'},
url="https://github.com/danielwilczak101/EasyGA",
author="Daniel Wilczak",
author_email="danielwilczak101@gmail.com",
long_description = long_description,
long_description_content_type = "text/markdown",
classifier=[
"Programming Language :: Python :: 3.0",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)",
"Operating System :: OS Independent",
],
install_requires = ["blessings ~= 1.7",
],
extra_require = {
"dev": [
"pytest>=3.7",
],
},
)