Add packages

Author: jrichter-svmx

setup.py

@@ -12,15 +12,8 @@
     Do not edit the class manually.
 """  # noqa: E501
 
-
 from setuptools import setup, find_packages  # noqa: H301
 
-# To install the library, run the following
-#
-# python setup.py install
-#
-# prerequisite: setuptools
-# http://pypi.python.org/pypi/setuptools
 NAME = "touroptimizer-py-client"
 VERSION = "1.0.0"
 PYTHON_REQUIRES = ">=3.7"
@@ -40,12 +33,11 @@
     url="",
     keywords=["OpenAPI", "OpenAPI-Generator", "DNA Evolutions - JOpt.TourOptimizer"],
     install_requires=REQUIRES,
-    packages=find_packages(include=['util', 'util.*', 'examples', 'examples.*']),
-    packages=find_packages(exclude=["test", "tests"]),
+    packages=find_packages(include=['touroptimizer_py_client', 'util', 'util.*', 'examples', 'examples.*']),
     include_package_data=True,
     long_description_content_type='text/markdown',
     long_description="""\
     This is DNA's JOpt.TourOptimizer service. A RESTful Spring Boot application using springdoc-openapi and OpenAPI 3. JOpt.TourOpptimizer is a service that delivers route optimization and automatic scheduling features to be easily integrated into any third-party application. JOpt.TourOpptimizer encapsulates all necessary optimization functionality and provides a comprehensive REST API that offers a domain-specific optimization interface for the transportation industry. The service is stateless and does not come with graphical user interfaces, map depiction or any databases. These extensions and adjustments are supposed to be introduced by the consumer of the service while integrating it into his/her own application. The service will allow for many suitable adjustments and user-specific settings to adjust the behaviour and optimization goals (e.g. minimizing distance, maximizing resource utilization, etc.) through a comprehensive set of functions. This will enable you to gain control of the complete optimization processes.This service is based on JOpt (null)
     """,  # noqa: E501
     package_data={"touroptimizer_py_client": ["py.typed"]},
-)
+)