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README.md
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README.md
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# EasyGA - A general solution to Genetic Algorithms
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The projects has just started
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## Installation
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Run the rolling to install:
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```Python
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pip3 install EasyGA
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```
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To use the package
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```python
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import EasyGA as ga
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```
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## Usage
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```python
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import EasyGA as ga
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chromosome = ga.chromosome()
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# Fill the chromosome with genes with Gene Number i'th number
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for i in range(10):
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gene_value = f"Gene Number {i}"
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new_gene = ga.gene("gene_value")
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chromosome.add_gene(new_gene)
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# Chromosome has 10 genes in it
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print(len(chromosome.genes))
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# Get the first genes value
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print(chromosome.genes[0].get_value())
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```
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# Developing EasyGA
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To install EASY, along with the tools you need to develop and run tests, run the following in your virtual env:
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```bash
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$ pip install -e .[dev]
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```
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ga_tests.py
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ga_tests.py
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# Tests for the ga
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setup.py
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setup.py
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from setuptools import setup
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with open("README.md", "r") as fh:
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long_description = fh.read()
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setup(
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name='EasyGA',
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version='0.0.6',
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description='A ubiquitous or general purpuse GA',
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py_modules=["EasyGA"],
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package_dir={'':'src'},
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url="https://github.com/danielwilczak101/EasyGA",
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author="Daniel Wilczak",
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author_email="danielwilczak101@gmail.com",
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long_description = long_description,
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long_description_content_type = "text/markdown",
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classifier=[
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"Programming Language :: Python :: 3.0",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)",
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"Operating System :: OS Independent",
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],
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install_requires = ["blessings ~= 1.7",
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],
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extra_require = {
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"dev": [
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"pytest>=3.7",
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],
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},
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)
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