Param qol

.gitignore

@@ -0,0 +1,197 @@
+# Created by .ignore support plugin (hsz.mobi)
+### JetBrains template
+# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and WebStorm
+# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
+
+# User-specific stuff
+.idea/**/workspace.xml
+.idea/**/tasks.xml
+.idea/**/usage.statistics.xml
+.idea/**/dictionaries
+.idea/**/shelf
+
+# Generated files
+.idea/**/contentModel.xml
+
+# Sensitive or high-churn files
+.idea/**/dataSources/
+.idea/**/dataSources.ids
+.idea/**/dataSources.local.xml
+.idea/**/sqlDataSources.xml
+.idea/**/dynamic.xml
+.idea/**/uiDesigner.xml
+.idea/**/dbnavigator.xml
+
+# Gradle
+.idea/**/gradle.xml
+.idea/**/libraries
+
+# Gradle and Maven with auto-import
+# When using Gradle or Maven with auto-import, you should exclude module files,
+# since they will be recreated, and may cause churn.  Uncomment if using
+# auto-import.
+# .idea/modules.xml
+# .idea/*.iml
+# .idea/modules
+# *.iml
+# *.ipr
+
+# CMake
+cmake-build-*/
+
+# Mongo Explorer plugin
+.idea/**/mongoSettings.xml
+
+# File-based project format
+*.iws
+
+# IntelliJ
+out/
+
+# mpeltonen/sbt-idea plugin
+.idea_modules/
+
+# JIRA plugin
+atlassian-ide-plugin.xml
+
+# Cursive Clojure plugin
+.idea/replstate.xml
+
+# Crashlytics plugin (for Android Studio and IntelliJ)
+com_crashlytics_export_strings.xml
+crashlytics.properties
+crashlytics-build.properties
+fabric.properties
+
+# Editor-based Rest Client
+.idea/httpRequests
+
+# Android studio 3.1+ serialized cache file
+.idea/caches/build_file_checksums.ser
+
+### Python template
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
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+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
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+
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+*.log
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+
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+
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+
+# IPython
+profile_default/
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+
+# pyenv
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+
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+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
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+venv.bak/
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+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+

AADI_RoverDomain/parameters.py

@@ -2,6 +2,7 @@
 This file contains all constant test parameters which may be altered from this single
 location for convenience.
 """
+import yaml
 
 
 class Parameters:
@@ -10,38 +11,76 @@ class Parameters:
     TODO: Heterogeneous rover domain code currently not implemented
     """
 
-    # Run Parameters
-    stat_runs = 10
-    generations = 1000  # Number of generations for CCEA in each stat run
-    new_world_config = False  # False -> Reuse existing world config, True -> Use new world config
-
-    # Visualizer
-    running = False  # True keeps visualizer from closing until you 'X' out of window
-
-    # Domain parameters
-    team_types = 'homogeneous'  # Switch between 'homogeneous' and 'heterogeneous' rover domains
-    num_rovers = 12  # Number of rovers on map (GETS MULTIPLIED BY NUMBER OF TYPES)
-    coupling = 3  # Number of rovers required to view a POI for credit
-    num_pois = 10  # Number of POIs on map
-    num_steps = 20  # Number of steps rovers take each episode
-    min_distance = 1.0  # Minimum distance which may appear in the denominator of credit eval functions
-    x_dim = 30  # X-Dimension of the rover map
-    y_dim = 30  # Y-Dimension of the rover map
-    min_observation_dist = 3.0  # Minimum distance rovers must be to observe POIs
-    angle_resolution = 90  # Resolution of sensors (determines number of sectors)
-    sensor_model = "summed"  # Should either be "density" or "closest" or "summed"
-
-    # Neural network parameters
-    num_inputs = 8
-    num_nodes = 9
-    num_outputs = 2
-
-    # CCEA parameters
-    mutation_rate = 0.1  # Probability that a member of the offspring population will be mutated
-    percentage_mut = 0.01  # Percentage of bits which get flipped in an individual
-    epsilon = 0.1  # For e-greedy selection in CCEA
-    parent_pop_size = 20
-    offspring_pop_size = 5
-
-    # User specific parameters
-    reward_type = "SDPP"  # Switch between reward functions "Global" "Difference" "DPP" "SDPP"
+    def __init__(self):
+        # Run Parameters
+        self.stat_runs = 10
+        self.generations = 1000  # Number of generations for CCEA in each stat run
+        self.new_world_config = False  # False -> Reuse existing world config, True -> Use new world config
+
+        # Visualizer
+        self.running = False  # True keeps visualizer from closing until you 'X' out of window
+
+        # Domain parameters
+        self.team_types = 'homogeneous'  # Switch between 'homogeneous' and 'heterogeneous' rover domains
+        self.num_rovers = 12  # Number of rovers on map (GETS MULTIPLIED BY NUMBER OF TYPES)
+        self.coupling = 3  # Number of rovers required to view a POI for credit
+        self.num_pois = 10  # Number of POIs on map
+        self.num_steps = 20  # Number of steps rovers take each episode
+        self.min_distance = 1.0  # Minimum distance which may appear in the denominator of credit eval functions
+        self.x_dim = 30  # X-Dimension of the rover map
+        self.y_dim = 30  # Y-Dimension of the rover map
+        self.min_observation_dist = 3.0  # Minimum distance rovers must be to observe POIs
+        self.angle_resolution = 90  # Resolution of sensors (determines number of sectors)
+        self.sensor_model = "summed"  # Should either be "density" or "closest" or "summed"
+
+        # Neural network parameters
+        self.num_inputs = 8
+        self.num_nodes = 9
+        self.num_outputs = 2
+
+        # CCEA parameters
+        self.mutation_rate = 0.1  # Probability that a member of the offspring population will be mutated
+        self.percentage_mut = 0.01  # Percentage of bits which get flipped in an individual
+        self.epsilon = 0.1  # For e-greedy selection in CCEA
+        self.parent_pop_size = 20
+        self.offspring_pop_size = 5
+
+        # User specific parameters
+        self.reward_type = "SDPP"  # Switch between reward functions "Global" "Difference" "DPP" "SDPP"
+
+    def load_yaml(self, filename):
+        """
+        loads a set of parameters into this object with setattr
+        Does not require that all parameters are set, i.e. you can optionally set a specific set of parameters
+        :param filename:
+        :return:
+        """
+        with open(file=filename) as f:
+            params = yaml.load(f)
+        for key in params:
+            setattr(self, key, params[key])
+
+    def save_yaml(self, filename):
+        """
+        Saves ALL the parameters into a yaml file, not just the optionally set ones
+        :param filename:
+        :return:
+        """
+        with open(file=filename, mode='w') as f:
+            yaml.dump(vars(self), f)
+
+if __name__ == '__main__':
+    with open("/tmp/param_tests.yaml", 'w') as f:
+        f.write("""
+        test_a: 10
+        stat_runs: 100
+        """)
+    parameters = Parameters()
+    print("Before load")
+    print(parameters.stat_runs)
+    parameters.load_yaml("/tmp/param_tests.yaml")
+    print("After load")
+    print(parameters.test_a)
+    print(parameters.stat_runs)
+    parameters.save_yaml("/tmp/param_tests_out.yaml")
+