def test_for_futoshiki_file(filename): print(filename) problem = read_futoshiki_problem(filename, prefix) board = BoardFutoshiki(problem['matrix'], problem['constraints']) solver = Solver(board) results = solver.solve() print(' number of results: ' + str(len(results))) for result in results: print(result) if not check_if_unique(results): global uniqueq unique = False
def test_for_skyscrapper_file(filename): print(filename) problem = read_skyscrapper_problem(filename, skyscrapper_prefix) board = BoardSkyscrapper(N=problem['N'], constraints=problem['constraints'], name=problem['name']) solver = Solver(board) results = solver.solve() print(filename + ' number of results: ' + str(len(results))) for result in results: print(result) if not check_if_unique(results): global unique unique = False
def simulate(self, time_step, current_at_start=0.): # TODO: no good place for this, but can't be done in '_calculate_derivatives' due to several calls # TODO: correct for neuron? models dendrites and axon to be just on one side of the soma-cable current_at_end = 0. for s in self._successors: cur = 0.5 * (s._segment_plasma_conductance + s.cross_sectional_area / self._successors_cross_sectional_area * self._segment_plasma_conductance) * (- s.potential[0] + self.potential[-1]) current_at_end += cur s.simulate(time_step, -cur) simulated_values = Solver.default(time_step, self._calculate_derivatives, self.potential, current_at_start, current_at_end) self.potential = simulated_values
import os from src import UseCSVData, UseMysqlData, Solver runtime_seconds = 60 population_size = 100 selection_size = 20 path = os.getcwd() # data = UseMysqlData() data = UseCSVData(path + "/data/order2.csv", path + "/data/pizza.csv", path + "/data/ingredients.csv", path + "/data/robot.csv", path) solver = Solver(data) solution = solver.solveGeneticAlgorithm(runtime_seconds=runtime_seconds, population_size=population_size, selection_size=selection_size) print(solution.df) solution.df.to_csv("output/solution.csv") print(solution.makespan) solution.createGanttChart()
def test_result_of_solving_futoshiki_4_1(self): problem = read_futoshiki_problem('futoshiki_4_1.txt') board = BoardFutoshiki(matrix=problem['matrix'], constraints=problem['constraints']) solver = Solver(board) results = solver.solve()
def test_solving_futoshiki_4_2_doesnt_crash_program(self): problem = read_futoshiki_problem('futoshiki_4_2.txt') board = BoardFutoshiki(matrix=problem['matrix'], constraints=problem['constraints']) # print(board.matrix) solver = Solver(board) results = solver.solve()
def create_simple_solution(): board = create_simple_board() s = Solver(board) return s
def create_solution_3(): board = create_board_3() s = Solver(board) return s
def create_solution_5(): board = create_board_5() solution = Solver(board) return solution
def simulate(self, time_step, potential): simulated_values = Solver.default(time_step, self.calculate_derivatives, self._r, self._s, potential) self.conductance = self._s**self._n / (self._s**self._n + self._Kd) * self._maximum_conductance self._r, self._s = simulated_values
def simulate(self, timeStep, potential): simulated_values = Solver.default(timeStep, self.calculate_derivatives, self._r, potential) self.conductance = self._r * self._maximum_conductance self._r = simulated_values
def simulate(self, time_step, potential): simulated_values = Solver.default(time_step, self.calculate_derivatives, self._r, potential) self.conductance = self._r * self._magnesium_block * self._maximum_conductance # c. f. Jahr 1990 self._magnesium_block = 1. / (1. + numpy.exp(-0.062 * potential) * (self._extracellular_magnesium_concentration / 3.57)) self._r = simulated_values
def simulate(self, time_step, current_at_start=0): simulated_values = Solver.default(time_step, self._calculate_derivatives, self.potential, self.m_gate, self.h_gate, self.n_gate, current_at_start) for s in self._outgoing_synapses: s.simulate(time_step, self.potential[-1]) self.potential, self.m_gate, self.h_gate, self.n_gate = simulated_values
def simulate(self, time_step, current_at_start=0, current_at_end=0, extra_current=0): self.potential = Solver.default(time_step, self._calculate_derivatives, self.potential, current_at_start, current_at_end, extra_current)