Esempio n. 1
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 def test_map_of_island_is_dict(self, example_geogr, example_ini_pop):
     """
     Asserts that the create_map_dict method created a dictionary.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     assert type(island_map.map) is dict
Esempio n. 2
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 def test_animal_moves_not_if_it_has_already_moved_this_year(
         self, example_geogr, example_ini_pop
 ):
     """
     Tests move_single_animal.
     Asserts that animal does not move if it has already moved this year.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     herbivore = island_map.map[(1, 2)].pop_herb[0]
     herbivore.has_moved_this_year = True
     assert island_map.move_single_animal((1, 2), herbivore) is None
Esempio n. 3
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 def test_finds_two_correct_neighbours_when_two_habitable_cells_around(
         self, example_geogr, example_ini_pop
 ):
     """
     Asserts that the neighbours_of_current_cell method return the
     correct neighbours for a cell with only two neighbours.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     dict_with_neighbours = island_map.neighbours_of_current_cell((1, 1))
     neighbours = [(1, 2), (2, 1)]
     for neighbour in dict_with_neighbours.keys():
         assert neighbour in neighbours
Esempio n. 4
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 def test_single_animal_moves_not_if_rand_num_higher_than_prob(
         self, mocker, example_geogr, example_ini_pop
 ):
     """
     Tests move_single_animal.
     Asserts that animal does not move if it has not moved this year, but
     the random number is higher than the probability of moving.
     """
     mocker.patch('numpy.random.random', return_value=1)
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     herbivore = island_map.map[(1, 2)].pop_herb[0]
     assert island_map.move_single_animal((1, 2), herbivore) is None
Esempio n. 5
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 def test_finds_no_neighbours_when_no_habitable_cells_around(
         self, example_ini_pop
 ):
     """
     Asserts that the neighbours_of_current_cell method handles a cell
     with no habitable neighbours.
     """
     geogr_one_cell = """\
                         OOO
                         OJO
                         OOO
                         """
     island_map = IslandMap(geogr_one_cell, example_ini_pop)
     island_map.create_map_dict()
     dict_with_neighbours = island_map.neighbours_of_current_cell((1, 1))
     assert dict_with_neighbours == {}
Esempio n. 6
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 def test_all_animals_die_after_dying_season(
         self, mocker, example_ini_pop, example_geogr
 ):
     """
     Test for dying_season.
     Asserts that all animals on island die, when the random number that
     decides is larger than their probability to live.
     """
     mocker.patch("numpy.random.random", return_value=1)
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.dying_season()
     sum_animals = 0
     for cell in island_map.map.values():
         sum_animals += len(cell.pop_herb)
         sum_animals += len(cell.pop_carn)
     assert sum_animals == 0
Esempio n. 7
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 def test_map_can_include_all_landscape_types(self, example_ini_pop):
     """
     Asserts that create_map_dict can create map from a geography string
     where all landscape types are included.
     """
     all_types = """\
                     OOOO
                     ODMO
                     OSJO
                     OOOO
                     """
     island_map = IslandMap(all_types, example_ini_pop)
     island_map.create_map_dict()
     assert type(island_map.map[(0, 0)]).__name__ is "Ocean"
     assert type(island_map.map[(1, 1)]).__name__ is "Desert"
     assert type(island_map.map[(1, 2)]).__name__ is "Mountain"
     assert type(island_map.map[(2, 1)]).__name__ is "Savannah"
     assert type(island_map.map[(2, 2)]).__name__ is "Jungle"
Esempio n. 8
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 def test_finds_four_correct_neighbours_when_four_habitable_cells_around(
         self, example_ini_pop
 ):
     """
     Asserts that the neighbours_of_current_cell method return the
     correct neighbours for a cell with four neighbours.
     """
     test_geogr = """\
                         OOOOO
                         OJJJO
                         OJJJO
                         OJJJO
                         OOOOO
                         """
     island_map = IslandMap(test_geogr, example_ini_pop)
     island_map.create_map_dict()
     dict_with_neighbours = island_map.neighbours_of_current_cell((2, 2))
     neighbours = [(1, 2), (2, 1), (2, 3), (3, 2)]
     for neighbour in dict_with_neighbours.keys():
         assert neighbour in neighbours
Esempio n. 9
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 def test_all_animals_gave_birth_when_prob_birth_is_one(
         self, mocker, example_ini_pop, example_geogr
 ):
     """
     Tests procreation_season method.
     Asserts that all animals on island give birth when their probability
     of giving birth is one.
     """
     mocker.patch("numpy.random.random", return_value=0.01)
     island_map = IslandMap(example_geogr, example_ini_pop)
     ini_sum_animals = 0
     for cell in island_map.map.values():
         ini_sum_animals += len(cell.pop_herb)
         ini_sum_animals += len(cell.pop_carn)
     island_map.procreation_season()
     sum_animals = 0
     for cell in island_map.map.values():
         sum_animals += len(cell.pop_herb)
         sum_animals += len(cell.pop_carn)
     assert sum_animals == 2 * ini_sum_animals
Esempio n. 10
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 def test_all_animals_move_if_rand_num_less_than_prob(
         self, mocker, example_geogr
 ):
     """
     Tests move_single_animal on several animals.
     Asserts that all animal move if they have not moved this year and
     random number is less than their probability to move.
     """
     move_ini_pop = [
         {
             "loc": (1, 2),
             "pop": [
                 {"species": "Herbivore", "age": 5, "weight": 20}
                 for _ in range(3)
             ]
         },
         {
             "loc": (2, 2),
             "pop": [
                 {"species": "Carnivore", "age": 5, "weight": 20}
                 for _ in range(3)
             ]
         }
     ]
     mocker.patch('numpy.random.random', return_value=0.01)
     island_map = IslandMap(example_geogr, move_ini_pop)
     island_map.create_map_dict()
     for loc, cell in island_map.map.items():
         for herbivore in cell.pop_herb:
             assert island_map.move_single_animal(loc, herbivore) is True
         for carnivore in cell.pop_carn:
             assert island_map.move_single_animal(loc, carnivore) is True
Esempio n. 11
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 def test_geography_is_converted_correctly_to_dict(
         self, example_ini_pop
 ):
     """
     Asserts that the create_geography method creates a dictionary, and
     that the dictionary has correct keys and values.
     """
     geogr_convert = """\
                         OOOO
                         OJSO
                         ODMO
                         OOOO
                         """
     island_map = IslandMap(geogr_convert, example_ini_pop)
     island_map.create_geography_dict()
     assert type(island_map.geography) is dict
     assert island_map.geography == {
         (0, 0): 'O', (0, 1): 'O', (0, 2): 'O', (0, 3): 'O',
         (1, 0): 'O', (1, 1): 'J', (1, 2): 'S', (1, 3): 'O',
         (2, 0): 'O', (2, 1): 'D', (2, 2): 'M', (2, 3): 'O',
         (3, 0): 'O', (3, 1): 'O', (3, 2): 'O', (3, 3): 'O',
     }
Esempio n. 12
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 def test_population_is_converted_correctly_to_dict(
         self, example_geogr, example_ini_pop
 ):
     """
     Asserts that the create_population method created a dictionary and
     that the keys and values of the dictionary have been converted
     correctly.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_population_dict()
     assert type(island_map.population) is dict
     assert island_map.population == {
         (1, 2): [
             {'species': 'Herbivore', 'age': 5, 'weight': 20},
             {'species': 'Herbivore', 'age': 5, 'weight': 20},
             {'species': 'Herbivore', 'age': 5, 'weight': 20}
         ],
         (2, 2): [
             {'species': 'Herbivore', 'age': 5, 'weight': 20},
             {'species': 'Herbivore', 'age': 5, 'weight': 20},
             {'species': 'Herbivore', 'age': 5, 'weight': 20}
         ]
     }
Esempio n. 13
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 def test_add_animals_to_existing_population(
         self, example_ini_pop, example_geogr
 ):
     """
     Tests add_population method.
     Asserts that additional animals can be added to an existing population.
     """
     island_map = IslandMap(example_geogr, initial_population=[])
     island_map.create_map_dict()
     island_map.add_population(example_ini_pop)
Esempio n. 14
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 def test_all_animals_lost_weight_during_weight_loss_season(
         self, example_ini_pop, example_geogr
 ):
     """
     Asserts that all animals on the island on the island has lost weight
     after weight_loss_season.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     island_map.weight_loss_season()
     initial_weight_animal = example_ini_pop[0]["pop"][0]["weight"]
     for cell in island_map.map.values():
         for animal in cell.pop_herb+cell.pop_carn:
             assert animal.weight < initial_weight_animal
Esempio n. 15
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 def test_all_animals_age_during_aging_season(
         self, example_ini_pop, example_geogr
 ):
     """
     Test for aging_season method.
     Asserts that all animals on the island have aged.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     island_map.aging_season()
     initial_age_animal = example_ini_pop[0]["pop"][0]["age"]
     for cell in island_map.map.values():
         for animal in cell.pop_herb+cell.pop_carn:
             assert animal.age > initial_age_animal
Esempio n. 16
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 def test_all_animals_migrate_during_migration_season(
         self, mocker, example_ini_pop, example_geogr
 ):
     """
     Test for migration_season method.
     Asserts that all animals have moved after the migration season,
     by checking their has_moved_this_year attribute.
     """
     mocker.patch('numpy.random.random', return_value=0.0001)
     island_map = IslandMap(example_geogr, [example_ini_pop[0]])
     island_map.create_map_dict()
     island_map.migration_season()
     for loc, cell in island_map.map.items():
         for animal in cell.pop_herb+cell.pop_carn:
             assert animal.has_moved_this_year is True
Esempio n. 17
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 def test_one_animal_in_each_cell_has_been_fed(
         self, example_geogr, example_ini_pop
 ):
     """
     Tests feeding_season method.
     Asserts that one animal in each cell of the test island
     have been fed.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     island_map.create_map_dict()
     island_map.feeding_season()
     assert island_map.map[(1, 2)].pop_herb[0].weight > \
         example_ini_pop[0]["pop"][0]["weight"]
     assert island_map.map[(2, 2)].pop_herb[0].weight > \
         example_ini_pop[1]["pop"][0]["weight"]
Esempio n. 18
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 def test_all_animals_move_when_rand_num_less_than_prob(
         self, mocker, example_ini_pop, example_geogr
 ):
     """
     Tests move_all_animals_in_cell.
     Asserts that all animals move out of a cell when the random number is
     less than the probability for each to move.
     """
     mocker.patch('numpy.random.random', return_value=0.0001)
     island_map = IslandMap(example_geogr, [example_ini_pop[0]])
     island_map.create_map_dict()
     island_map.move_all_animals_in_cell((1, 2), island_map.map[(1, 2)])
     final_num_animals = len(island_map.map[(1, 2)].pop_herb) + \
         len(island_map.map[(1, 2)].pop_carn)
     assert final_num_animals == 0
Esempio n. 19
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 def test_no_animals_move_when_rand_num_higher_than_prob_of_moving(
         self, mocker, example_ini_pop, example_geogr
 ):
     """
     Tests move_all_animals_in_cell.
     Asserts that no animals move out of a cell when the random number
     is higher than the animal's probability to move.
     """
     mocker.patch('numpy.random.random', return_value=1)
     island_map = IslandMap(example_geogr, [example_ini_pop[0]])
     island_map.create_map_dict()
     initial_num_animals = len(island_map.map[(1, 2)].pop_herb) + \
         len(island_map.map[(1, 2)].pop_carn)
     island_map.move_all_animals_in_cell((1, 2), island_map.map[(1, 2)])
     final_num_animals = len(island_map.map[(1, 2)].pop_herb) + \
         len(island_map.map[(1, 2)].pop_carn)
     assert final_num_animals == initial_num_animals
Esempio n. 20
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    def __init__(
        self,
        island_geography,
        initial_population,
        seed,
        ymax_animals=None,
        cmax_animals=None,
        img_base=None,
        img_fmt="png",
    ):
        """
        :param island_geography: Multi-line string specifying island
            geography
        :param initial_population: List of dictionaries specifying
            initial population
        :param seed: Integer used as random number seed
        :param ymax_animals: Number specifying y-axis limit for graph showing
            animal numbers
        :param cmax_animals: Dict specifying color-code limits for animal
            densities
        :param img_base: String with beginning of file name for figures,
            including path
        :param img_fmt: String with file type for figures, e.g. 'png'

        If ymax_animals is None, the y-axis limit should be adjusted
        automatically.

        If cmax_animals is None, sensible, fixed default values should be used.
        cmax_animals is a dict mapping species names to numbers, e.g.,
           {'Herbivore': 50, 'Carnivore': 20}

        If img_base is None, no figures are written to file.
        Filenames are formed as

            '{}_{:05d}.{}'.format(img_base, img_no, img_fmt)

        where img_no are consecutive image numbers starting from 0.
        img_base should contain a path and beginning of a file name.
        """
        numpy.random.seed(seed)
        self.img_base = img_base
        self.img_fmt = img_fmt
        self.img_no = 0

        self.ymax = ymax_animals
        if cmax_animals is None:
            self.cmax = {'Herbivore': 300, 'Carnivore': 100}
        else:
            self.cmax = cmax_animals

        self.island_map = IslandMap(island_geography, initial_population)
        self.island_map.create_map_dict()
        self.num_years_simulated = 0
        self.final_year = None

        # The following will be initialized by setup_graphics
        self._fig = None
        self._line_graph_ax = None
        self._line_graph_line_herb = None
        self._line_graph_line_carn = None
        self._map_ax = None
        self._img_axis = None
        self._heat_map_herb_ax = None
        self._img_herb_axis = None
        self._heat_map_carn_ax = None
        self._img_carn_axis = None
Esempio n. 21
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class BioSim:
    """
    Class for simulating the model of an ecosystem.
    """
    def __init__(
        self,
        island_geography,
        initial_population,
        seed,
        ymax_animals=None,
        cmax_animals=None,
        img_base=None,
        img_fmt="png",
    ):
        """
        :param island_geography: Multi-line string specifying island
            geography
        :param initial_population: List of dictionaries specifying
            initial population
        :param seed: Integer used as random number seed
        :param ymax_animals: Number specifying y-axis limit for graph showing
            animal numbers
        :param cmax_animals: Dict specifying color-code limits for animal
            densities
        :param img_base: String with beginning of file name for figures,
            including path
        :param img_fmt: String with file type for figures, e.g. 'png'

        If ymax_animals is None, the y-axis limit should be adjusted
        automatically.

        If cmax_animals is None, sensible, fixed default values should be used.
        cmax_animals is a dict mapping species names to numbers, e.g.,
           {'Herbivore': 50, 'Carnivore': 20}

        If img_base is None, no figures are written to file.
        Filenames are formed as

            '{}_{:05d}.{}'.format(img_base, img_no, img_fmt)

        where img_no are consecutive image numbers starting from 0.
        img_base should contain a path and beginning of a file name.
        """
        numpy.random.seed(seed)
        self.img_base = img_base
        self.img_fmt = img_fmt
        self.img_no = 0

        self.ymax = ymax_animals
        if cmax_animals is None:
            self.cmax = {'Herbivore': 300, 'Carnivore': 100}
        else:
            self.cmax = cmax_animals

        self.island_map = IslandMap(island_geography, initial_population)
        self.island_map.create_map_dict()
        self.num_years_simulated = 0
        self.final_year = None

        # The following will be initialized by setup_graphics
        self._fig = None
        self._line_graph_ax = None
        self._line_graph_line_herb = None
        self._line_graph_line_carn = None
        self._map_ax = None
        self._img_axis = None
        self._heat_map_herb_ax = None
        self._img_herb_axis = None
        self._heat_map_carn_ax = None
        self._img_carn_axis = None

    @staticmethod
    def reset_params():
        """
        Resets parameters of all landscape and animal classes.
        """
        for class_name in [
                Landscape, Jungle, Savannah, Desert, Mountain, Ocean, Animal,
                Herbivore, Carnivore
        ]:
            class_name.reset_params()

    @staticmethod
    def set_animal_parameters(species, params):
        """
        Set parameters for animal species.
        All animal parameters shall be positive. However, DeltaPhiMax and
        F shall be strictly positive and eta shall lie between zero and one.

        :param species: String, name of animal species
        :param params: Dict with valid parameter specification for species
        :raise ValueError: if parameter has invalid value or name
        """
        class_names = {"Herbivore": Herbivore, "Carnivore": Carnivore}
        for param_name in params.keys():
            if param_name in class_names[species].params:
                if params[param_name] >= 0 and param_name is not "DeltaPhiMax"\
                        and param_name is not "eta" and param_name is not "F":
                    class_names[species].params[param_name] = params[
                        param_name]
                # checks special criteria for eta
                elif param_name is "eta" and 0 <= params[param_name] <= 1:
                    class_names[species].params[param_name] = params[
                        param_name]
                # checks special criteria for F
                elif param_name is "F" and 0 < params[param_name]:
                    class_names[species].params[param_name] = params[
                        param_name]
                # checks special criteria for DeltaPhiMax
                elif param_name is "DeltaPhiMax" and params[param_name] > 0:
                    class_names[species].params[param_name] = params[
                        param_name]
                else:
                    raise ValueError(f'{params[param_name]} is an invalid '
                                     f'parameter value for parameter '
                                     f'{param_name}!')
            else:
                raise ValueError(f'{param_name} is an invalid parameter name!')

    @staticmethod
    def set_landscape_parameters(landscape, params):
        """
        Set parameters for landscape type. f_max must be positive.

        :param landscape: String, code letter for landscape
        :param params: Dict with valid parameter specification for landscape
        :raise ValueError: if parameter name or value is invalid
        """
        class_names = {
            'J': Jungle,
            'S': Savannah,
            'D': Desert,
            'M': Mountain,
            'O': Ocean
        }
        for param_name in params.keys():
            if param_name in class_names[landscape].params.keys():
                if param_name is "f_max" and params[param_name] >= 0:
                    class_names[landscape].params[param_name] = params[
                        param_name]
                elif param_name is "alpha":
                    class_names[landscape].params[param_name] = params[
                        param_name]
                else:
                    raise ValueError(f'{params[param_name]} is an invalid '
                                     f'parameter value!')
            else:
                raise ValueError(f'{param_name} is an invalid parameter name!')

    def add_population(self, population):
        """
        Add a population to the island during simulation.

        :param population: List of dictionaries specifying population
        """
        self.island_map.add_population(population)

    @property
    def year(self):
        """
        Last year simulated.
        """
        return self.num_years_simulated

    @property
    def num_animals(self):
        """
        Total number of animals on island.
        """
        num_animals = 0
        for cell in self.island_map.map.values():
            num_animals += len(cell.pop_herb)
            num_animals += len(cell.pop_carn)
        return num_animals

    @property
    def num_animals_per_species(self):
        """
        Number of animals per species in island, as dictionary.
        """
        num_animals_per_species = {"Herbivore": 0, "Carnivore": 0}
        for cell in self.island_map.map.values():
            num_animals_per_species["Herbivore"] += len(cell.pop_herb)
            num_animals_per_species["Carnivore"] += len(cell.pop_carn)
        return num_animals_per_species

    @property
    def animal_distribution(self):
        """
        Pandas DataFrame with animal count per species for each cell on island.
        """
        data_all_cells = []
        i = 0
        for coord, cell in self.island_map.map.items():
            row = coord[0]
            col = coord[1]
            herb = len(cell.pop_herb)
            carn = len(cell.pop_carn)
            data_all_cells.append([row, col, herb, carn])
            i += 1
        return pandas.DataFrame(
            data=data_all_cells,
            columns=['Row', 'Col', 'Herbivore', 'Carnivore'])

    def simulate(self, num_years, vis_years=1, img_years=None):
        """
        Run simulation while visualizing the result.

        :param num_years: number of years to simulate
        :param vis_years: years between visualization updates
        :param img_years: years between visualizations saved to files
            (default: vis_years)

        Image files will be numbered consecutively.
        """
        if img_years is None:
            img_years = vis_years

        self.final_year = self.year + num_years
        self.setup_graphics()

        while self.year < self.final_year:

            if self.year % vis_years == 0:
                self.update_graphics()

            if self.year % img_years == 0:
                self.save_graphics()

            self.island_map.run_all_seasons()
            self.num_years_simulated += 1

    def setup_graphics(self):
        """
        Creates four subplots for visualization of geography, number of
        animals per species and distribution of each species.
        """
        # Create new figure window
        if self._fig is None:
            self._fig = plt.figure(figsize=(13, 8))
            self._fig.subplots_adjust(hspace=0.2, wspace=0.2)

        # Add upper left subplot with features for map of island
        if self._map_ax is None:
            self._map_ax = self._fig.add_subplot(2, 2, 1)
            self._map_ax.set_position(pos=[0, 0.55, 0.4, 0.3])
            self.create_map_graphics()
            self._map_ax.title.set_text('Island')

        # Add upper right subplot for line graph of herbivore and carnivore
        # populations.
        if self._line_graph_ax is None:
            self._line_graph_ax = self._fig.add_subplot(2, 2, 2)
            self._line_graph_ax.set_position(pos=[0.5, 0.55, 0.35, 0.35])

        # Needs updating on subsequent calls to simulate()
        self._line_graph_ax.set_xlim(0, self.final_year + 1)

        # Line graph for herbivores
        if self._line_graph_line_herb is None:
            line_graph_plot_herb = self._line_graph_ax.plot(
                numpy.arange(0, self.final_year),
                numpy.full(self.final_year, numpy.nan))
            self._line_graph_line_herb = line_graph_plot_herb[0]
        else:
            xdata, ydata = self._line_graph_line_herb.get_data()
            xnew = numpy.arange(xdata[-1] + 1, self.final_year)
            if len(xnew) > 0:
                ynew = numpy.full(xnew.shape, numpy.nan)
                self._line_graph_line_herb.set_data(
                    numpy.hstack((xdata, xnew)), numpy.hstack((ydata, ynew)))

        # Line graph for carnivores
        if self._line_graph_line_carn is None:
            line_graph_plot_carn = self._line_graph_ax.plot(
                numpy.arange(0, self.final_year),
                numpy.full(self.final_year, numpy.nan))
            self._line_graph_line_carn = line_graph_plot_carn[0]
        else:
            xdata, ydata = self._line_graph_line_carn.get_data()
            xnew = numpy.arange(xdata[-1] + 1, self.final_year)
            if len(xnew) > 0:
                ynew = numpy.full(xnew.shape, numpy.nan)
                self._line_graph_line_carn.set_data(
                    numpy.hstack((xdata, xnew)), numpy.hstack((ydata, ynew)))
        # Features for line graph
        self._line_graph_ax.yaxis.tick_right()
        self._line_graph_ax.yaxis.set_label_position('right')
        self._line_graph_ax.legend(["Herbivore", "Carnivore"], loc='best')
        self._line_graph_ax.title.set_text('Population dynamics')
        self._line_graph_ax.set_ylabel('Number of animals')
        self._line_graph_ax.set_xlabel('Year')

        # Add lower left heat map for herbivores
        if self._heat_map_herb_ax is None:
            self._heat_map_herb_ax = self._fig.add_subplot(2, 2, 3)
            self._heat_map_herb_ax.set_position(pos=[0, 0, 0.4, 0.4])
            self._img_herb_axis = None

        # Features for herbivore heat map
        self._heat_map_herb_ax.title.set_text('Herbivore distribution')
        self._heat_map_herb_ax.set_ylabel('y coordinate')
        self._heat_map_herb_ax.set_xlabel('x coordinate')

        # Add lower right heat map for carnivores
        if self._heat_map_carn_ax is None:
            self._heat_map_carn_ax = self._fig.add_subplot(2, 2, 4)
            self._heat_map_carn_ax.set_position(pos=[0.5, 0, 0.4, 0.4])
            self._img_carn_axis = None

        # Features for carnivore heat map
        self._heat_map_carn_ax.title.set_text('Carnivore distribution')
        self._heat_map_carn_ax.set_ylabel('y coordinate')
        self._heat_map_carn_ax.set_xlabel('x coordinate')

    def create_map_graphics(self):
        """
        Creates graphic of the map of the island's island_geography. The
        island map is static and the different landscape types are represented
        by different colours.
        """
        #                   R    G    B
        rgb_value = {
            'O': (0.0, 0.0, 1.0),  # blue
            'M': (0.5, 0.5, 0.5),  # grey
            'J': (0.0, 0.6, 0.0),  # dark green
            'S': (0.5, 1.0, 0.5),  # light green
            'D': (1.0, 1.0, 0.5)
        }  # light yellow

        geogr_rgb = [[rgb_value[column] for column in row]
                     for row in self.island_map.geogr.splitlines()]

        axim = self._map_ax
        axim.imshow(geogr_rgb)
        axim.set_xticks(range(len(geogr_rgb[0])))
        axim.set_xticklabels(range(1, 1 + len(geogr_rgb[0])))
        axim.set_yticks(range(len(geogr_rgb)))
        axim.set_yticklabels(range(1, 1 + len(geogr_rgb)))
        axim.set_ylabel('y coordinate')
        axim.set_xlabel('x coordinate')

        axlg = self._fig.add_axes([0.4, 0.55, 0.1, 0.3])
        axlg.axis('off')
        for ix, name in enumerate(
            ('Ocean', 'Mountain', 'Jungle', 'Savannah', 'Desert')):
            axlg.add_patch(
                plt.Rectangle((0., ix * 0.2),
                              0.3,
                              0.1,
                              edgecolor='none',
                              facecolor=rgb_value[name[0]]))
            axlg.text(0.35,
                      ix * 0.21,
                      name,
                      transform=axlg.transAxes,
                      fontsize=8)

    def update_line_graph(self):
        """
        Updates line graph for both species.
        """
        # for herbivores
        ydata_herb = self._line_graph_line_herb.get_ydata()
        ydata_herb[self.num_years_simulated] = self.num_animals_per_species[
            "Herbivore"]
        self._line_graph_line_herb.set_ydata(ydata_herb)

        # for carnivores
        ydata_carn = self._line_graph_line_carn.get_ydata()
        ydata_carn[self.num_years_simulated] = self.num_animals_per_species[
            "Carnivore"]
        self._line_graph_line_carn.set_ydata(ydata_carn)

        # rescales y axis
        if self.ymax:
            self._line_graph_ax.set_ylim(0, self.ymax)
        else:
            self._line_graph_ax.set_ylim(0, self.num_animals * 1.3)

    def create_array_herbs(self):
        """
        Creates array used to create heat map of herbivore population. Each
        cell in the array represents a cell on the island map and contains
        number of herbivores at that location.
        """
        df = self.animal_distribution
        num_rows = df["Row"].iloc[-1] + 1
        num_cols = df["Col"].iloc[-1] + 1

        index = 0
        array_herbs = numpy.zeros(shape=(num_rows, num_cols))
        for row in range(num_rows):
            for col in range(num_cols):
                array_herbs[row, col] = df["Herbivore"].iloc[index]
                index += 1
        return array_herbs

    def update_heat_map_herbs(self):
        """
        Updates visualization of heat map for herbivores.
        """
        if self._img_herb_axis is not None:
            self._img_herb_axis.set_data(self.create_array_herbs())
        else:
            self._img_herb_axis = self._heat_map_herb_ax.imshow(
                self.create_array_herbs(),
                interpolation='nearest',
                vmin=0,
                vmax=self.cmax["Herbivore"])
            plt.colorbar(self._img_herb_axis,
                         ax=self._heat_map_herb_ax,
                         orientation='vertical')

    def create_array_carns(self):
        """
        Creates array used to create heat map of carnivore population. Each
        cell in the array represents a cell on the island map and contains
        number of carnivores at that location.
        """
        df = self.animal_distribution
        num_rows = df["Row"].iloc[-1] + 1
        num_cols = df["Col"].iloc[-1] + 1

        index = 0
        array_carns = numpy.zeros(shape=(num_rows, num_cols))
        for row in range(num_rows):
            for col in range(num_cols):
                array_carns[row, col] = df["Carnivore"].iloc[index]
                index += 1
        return array_carns

    def update_heat_map_carns(self):
        """
        Updates visualization of heat map for carnivores.
        """
        if self._img_carn_axis is not None:
            self._img_carn_axis.set_data(self.create_array_carns())
        else:
            self._img_carn_axis = self._heat_map_carn_ax.imshow(
                self.create_array_carns(),
                interpolation='nearest',
                vmin=0,
                vmax=self.cmax["Carnivore"])
            plt.colorbar(self._img_carn_axis,
                         ax=self._heat_map_carn_ax,
                         orientation='vertical')

    def update_graphics(self):
        """
        Updates all graphics with current data and title.
        """
        self.update_line_graph()
        self.update_heat_map_herbs()
        self.update_heat_map_carns()
        plt.suptitle(f"Simulation of year {self.year}", fontsize=26)
        plt.pause(1e-6)

    def save_graphics(self):
        """
        Saves graphics to file, if file name is given.

        The image is stored as img_base + img_no + img_fmt
        """
        if self.img_base is None:
            return

        plt.savefig(f"{self.img_base}_{self.img_no:05d}.{self.img_fmt}")

        self.img_no += 1

    def make_movie(self, movie_fmt=_DEFAULT_MOVIE_FORMAT):
        """
        Creates MPEG4 movie from visualization images saved.

        :param movie_fmt: str
            format for movie (default='mp4')

        :note: Requires ffmpeg to work. Update ffmpeg binary at top of this
            file.

        The movie is stored as img_base + movie_fmt.

        :raise RuntimeError: if img_base not defined or ffmpeg fails
        :raise ValueError: if movie format is unknown
        """

        if self.img_base is None:
            raise RuntimeError("No filename defined.")

        if movie_fmt == 'mp4':
            try:
                subprocess.check_call([
                    FFMPEG_BINARY, '-i', '{}_%05d.png'.format(self.img_base),
                    '-y', '-profile:v', 'baseline', '-level', '3.0',
                    '-pix_fmt', 'yuv420p',
                    '{}.{}'.format(self.img_base, movie_fmt)
                ])
            except subprocess.CalledProcessError as err:
                raise RuntimeError('ERROR: ffmpeg failed with: {}'.format(err))
        else:
            raise ValueError('Unknown movie format: ' + movie_fmt)
Esempio n. 22
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 def test_constructor(self, example_geogr, example_ini_pop):
     """
     Asserts that an instance of the IslandMap class can be constructed.
     """
     island_map = IslandMap(example_geogr, example_ini_pop)
     assert isinstance(island_map, IslandMap)