Medical Physics python modules.
Project description
# pymedphys
A range of python modules encompased under the pymedphys package, designed to be built upon for Medical Physics applications.
## Alpha stage development
These libraries are currently under alpha level development. Expect code that depends on these libraries to often break with the changes that occur within this repository.
This will be true throughout the alpha stage development of these libraries. This notice will be adjusted once this should no longer be the case.
## License agreement
Copyright (C) 2018 CCA Health Care
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version (the “AGPL-3.0+”).
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License and the additional terms for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
ADDITIONAL TERMS are also included as allowed by Section 7 of the GNU Affrero General Public License. These aditional terms are Sections 1, 5, 6, 7, 8, and 9 from the Apache License, Version 2.0 (the “Apache-2.0”) where all references to the definition “License” are instead defined to mean the AGPL-3.0+.
You should have received a copy of the Apache-2.0 along with this program. If not, see <http://www.apache.org/licenses/LICENSE-2.0>.
## Cyclic dependencies and the justification of file structure
If package A depends on package B, and package B depends on package C, it is important that package C does not then depend on package A. This is called a cyclic dependency. It causes issues in dependency logic and can be avoided by purposefully designing how the packages depend on one another.
Ideally library packages are split up module by module based upon single tasks that each library achieves. By having a very large number of small single purpose modules the dependency tree can become very complicated. Complicated dependency trees do not scale. As a result the inter dependencies between library packages is tightly regulated. The modules themselves need to be designed and programmed with these restrictions in mind.
The physical design of the module dependencies is inspired by John Lakos at Bloomberg, writer of Large-Scale C++ Software Design. He describes this methodology in a talk he gave which is available on YouTube:
> <https://youtu.be/QjFpKJ8Xx78?t=41m7s>
### Level 1
Level 1 packages are the foundation library packages.
These packages SHALL NOT depend on any internal package. They MAY however depend on external packages (Level 0).
Given that these Level 1 packages are foundation packages their external packages SHOULD only ever be those that are in wide use and are highly supported within the python community. Examples of reasonable external packages to be used are numpy, scipy, and pandas.
### Level 2
Level 2 packages.
The internal packages that Level 2 packages depend on SHALL only be Level 1 packages or external packages as long as those external packages don’t intern depend on one defined within this group.
### Level 3
Level 3 packages.
The internal packages that these depend on SHALL only be Level 1 or Level 2. They MAY also depend external packages as long as those external packages don’t intern depend on one defined within this group.
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