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.vscode/.ropeproject/config.py
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.vscode/.ropeproject/config.py
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# The default ``config.py``
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# flake8: noqa
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def set_prefs(prefs):
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"""This function is called before opening the project"""
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# Specify which files and folders to ignore in the project.
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# Changes to ignored resources are not added to the history and
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# VCSs. Also they are not returned in `Project.get_files()`.
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# Note that ``?`` and ``*`` match all characters but slashes.
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# '*.pyc': matches 'test.pyc' and 'pkg/test.pyc'
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# 'mod*.pyc': matches 'test/mod1.pyc' but not 'mod/1.pyc'
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# '.svn': matches 'pkg/.svn' and all of its children
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# 'build/*.o': matches 'build/lib.o' but not 'build/sub/lib.o'
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# 'build//*.o': matches 'build/lib.o' and 'build/sub/lib.o'
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prefs['ignored_resources'] = ['*.pyc', '*~', '.ropeproject',
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'.hg', '.svn', '_svn', '.git', '.tox']
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# Specifies which files should be considered python files. It is
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# useful when you have scripts inside your project. Only files
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# ending with ``.py`` are considered to be python files by
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# default.
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#prefs['python_files'] = ['*.py']
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# Custom source folders: By default rope searches the project
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# for finding source folders (folders that should be searched
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# for finding modules). You can add paths to that list. Note
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# that rope guesses project source folders correctly most of the
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# time; use this if you have any problems.
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# The folders should be relative to project root and use '/' for
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# separating folders regardless of the platform rope is running on.
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# 'src/my_source_folder' for instance.
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#prefs.add('source_folders', 'src')
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# You can extend python path for looking up modules
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#prefs.add('python_path', '~/python/')
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# Should rope save object information or not.
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prefs['save_objectdb'] = True
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prefs['compress_objectdb'] = False
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# If `True`, rope analyzes each module when it is being saved.
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prefs['automatic_soa'] = True
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# The depth of calls to follow in static object analysis
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prefs['soa_followed_calls'] = 0
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# If `False` when running modules or unit tests "dynamic object
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# analysis" is turned off. This makes them much faster.
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prefs['perform_doa'] = True
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# Rope can check the validity of its object DB when running.
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prefs['validate_objectdb'] = True
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# How many undos to hold?
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prefs['max_history_items'] = 32
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# Shows whether to save history across sessions.
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prefs['save_history'] = True
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prefs['compress_history'] = False
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# Set the number spaces used for indenting. According to
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# :PEP:`8`, it is best to use 4 spaces. Since most of rope's
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# unit-tests use 4 spaces it is more reliable, too.
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prefs['indent_size'] = 4
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# Builtin and c-extension modules that are allowed to be imported
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# and inspected by rope.
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prefs['extension_modules'] = []
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# Add all standard c-extensions to extension_modules list.
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prefs['import_dynload_stdmods'] = True
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# If `True` modules with syntax errors are considered to be empty.
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# The default value is `False`; When `False` syntax errors raise
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# `rope.base.exceptions.ModuleSyntaxError` exception.
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prefs['ignore_syntax_errors'] = False
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# If `True`, rope ignores unresolvable imports. Otherwise, they
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# appear in the importing namespace.
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prefs['ignore_bad_imports'] = False
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# If `True`, rope will insert new module imports as
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# `from <package> import <module>` by default.
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prefs['prefer_module_from_imports'] = False
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# If `True`, rope will transform a comma list of imports into
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# multiple separate import statements when organizing
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# imports.
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prefs['split_imports'] = False
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# If `True`, rope will remove all top-level import statements and
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# reinsert them at the top of the module when making changes.
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prefs['pull_imports_to_top'] = True
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# If `True`, rope will sort imports alphabetically by module name instead of
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# alphabetically by import statement, with from imports after normal
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# imports.
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prefs['sort_imports_alphabetically'] = False
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# Location of implementation of rope.base.oi.type_hinting.interfaces.ITypeHintingFactory
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# In general case, you don't have to change this value, unless you're an rope expert.
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# Change this value to inject you own implementations of interfaces
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# listed in module rope.base.oi.type_hinting.providers.interfaces
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# For example, you can add you own providers for Django Models, or disable the search
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# type-hinting in a class hierarchy, etc.
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prefs['type_hinting_factory'] = 'rope.base.oi.type_hinting.factory.default_type_hinting_factory'
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def project_opened(project):
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"""This function is called after opening the project"""
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# Do whatever you like here!
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malaria.py
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malaria.py
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import matplotlib.pyplot as plt
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import numpy as np
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import random
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from enum import IntEnum
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class Model:
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def __init__(self, width=32, height=32, humandens=0.15, mosquitodens=0.10,
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immumepct=0.1, mosqinfpct=0.1, hm_infpct=0.5, mh_infpct=0.5,
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hinfdiepct=0.01, mhungrypct=0.1, humandiepct=10**-6,
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mosqdiepct=10**-3, mosqnetdens=0.05, time_steps=500):
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self.width = width
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self.height = height
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self.humandens = humandens
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self.mosquitodens = mosquitodens
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self.immunepct = immunepct
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self.mosqinfpct = mosqinfpct
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self.hm_infpct = hm_infpct
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self.mh_infpct = mh_infpct
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self.hinfdiepct = hinfdiepct
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self.mhungrypct = mhungrypct
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self.humandiepct = humandiepct
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self.mosqdiepct = mosqdiepct
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self.mosqnetdens = mosqnetdens
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self.time_steps = time_steps
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self.humans = self.gen_humans()
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self.mosquitos = self.gen_mosquitos()
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def recycle_human(self):
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# Get all living humans
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humans = np.transpose(np.where(a != Human.DEAD))
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deaths = numpy.random.rand(len(humans)) < self.humandiepct
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grid[humans[deaths]] = Human.DEAD
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for x, y in humans:
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if numpy.random.rand() < self.humandiepct:
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grid[x, y] =
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# Pick a random, unpopulated spot
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x, y = random.choice(np.transpose(np.where(a == Human.DEAD)))
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def gen_humans(self):
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p_dead = 1 - self.humandens
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p_immune = self.humandens * self.immunepct
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p_healthy = p_dead - p_immune
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return np.random.choice((Human.DEAD, Human.HEALTHY, Human.IMMUNE),
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size=(self.width, self.height),
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p=(p_dead, p_immune, p_healthy))
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def gen_mosquitos(self):
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mosquitos = []
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count = self.width * self.height * self.mosquitodens
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for _ in count:
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def run(self):
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for _ in range(self.time_steps):
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self.step()
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self.draw()
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def step(self):
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#dingen
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pass
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def draw(self):
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# this function draws the humans
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plt.imshow(self.humans)
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plt.pause(0.0001)
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plt.clf()
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class Mosquito:
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def __init__(self, x: int, y: int, infected: bool, hungry: bool):
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self.x = x
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self.y = y
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self.infected = infected
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self.hungry = hungry
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class Human(IntEnum):
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DEAD = 0
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HEALTHY = 1
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INFECTED = 2
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IMMUNE = 3
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if __name__ == "__main__":
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plt.ion()
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for i in range(500):
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img = np.random.randint(0, 3, (10000, 10000))
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plt.imshow(img)
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plt.pause(0.0001)
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plt.clf()
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