Python gen_vector Examples

Example #1

def gen_test_data(value_dimension, load_validity):
    data = {}
    data['allNodesSize'] = all_nodes_size
    data['allLagrangleNodesSize'] = all_lagrangle_nodes_size
    data['valueDimension'] = value_dimension
    data['weight'] = rand.random()
    data['load'] = common_tools.gen_vector(value_dimension, rand)
    data[
        'loadValidity'] = load_validity if None is not load_validity else common_tools.gen_vector(
            value_dimension, rand) >= 0.5

    (assembly_indes, test_shape_function,
     trial_shape_function) = gen_test_trial_shape_function()
    data['testShapeFunction'] = test_shape_function
    data['trialShapeFunction'] = trial_shape_function
    data['assemblyIndes'] = assembly_indes

    (lagrangle_assemble_indes,
     lagrangle_shape_function) = gen_lagrangle_shape_function()
    data['lagrangleShapeFunction'] = lagrangle_shape_function
    data['lagrangleAssemblyIndes'] = lagrangle_assemble_indes

    (main_matrix_difference,
     main_vector_difference) = assemble_lagrangle_dirichlet(data)

    data['mainMatrixDifference'] = main_matrix_difference
    data['mainVectorDifference'] = main_vector_difference

    return data

Example #2

File: penality_dirichlet_assembler.py Project: epsilony/mf

def gen_test_data(value_dimension,load_validity):
    data = {}
    data['allNodesSize'] = all_nodes_size
    data['valueDimension'] = value_dimension
    data['weight'] = rand.random()
    data['load'] = common_tools.gen_vector(value_dimension, rand)
    data['loadValidity'] = load_validity if None is not load_validity else common_tools.gen_vector(value_dimension, rand) >= 0.5
    data['penalty']=rand.random()
    
    (assembly_indes, test_shape_function, trial_shape_function) = gen_test_trial_shape_function()
    data['testShapeFunction'] = test_shape_function
    data['trialShapeFunction'] = trial_shape_function
    data['assemblyIndes'] = assembly_indes
    
    (main_matrix_difference, main_vector_difference) = assemble_penality_dirichlet(data)
    
    data['mainMatrixDifference'] = main_matrix_difference
    data['mainVectorDifference'] = main_vector_difference
    
    return data

Example #3

File: neumann_assembler.py Project: epsilony/mf

def gen_test_data(value_dimension):
    data = {}
    data['allNodesSize'] = all_nodes_size
    data['valueDimension'] = value_dimension
    data['weight'] = rand.random()
    data['load'] = common_tools.gen_vector(value_dimension, rand)
    
    shape_func_nodes_num = rand.randint(1, all_nodes_size // 2)
    test_shape_function = common_tools.gen_matrix((1, shape_func_nodes_num), rand)
    nodes_assemble_indes = common_tools.gen_nodes_indes(shape_func_nodes_num, 0, all_nodes_size, rand)
    
    data['testShapeFunction'] = test_shape_function
    data['assemblyIndes'] = nodes_assemble_indes
    
    whole_test_shape_function_vector = common_tools.shape_func_to_whole_vector(test_shape_function, nodes_assemble_indes, all_nodes_size)
    data['mainVectorDifference'] = assemble_general_force(data['weight'], data['load'], whole_test_shape_function_vector)
    
    return data

Example #4

File: mechanical_volume_assembler.py Project: epsilony/mf

def gen_test_data(value_dimension):
    data = {}
    data['allNodesSize'] = all_nodes_size
    data['valueDimension'] = value_dimension;
    data['weight'] = rand.random()
    data['load'] = common_tools.gen_vector(value_dimension, rand)
    data['constitutiveLaw'] = common_tools.gen_constitutive(value_dimension, rand)
    
    (assembly_indes, test_shape_function, trial_shape_function) = gen_test_trial_shape_function(value_dimension)
    data['testShapeFunction'] = test_shape_function
    data['trialShapeFunction'] = trial_shape_function
    data['assemblyIndes'] = assembly_indes
    
    (main_matrix_difference, main_vector_difference) = assemble_mechanical_volume(data)
    
    data['mainMatrixDifference'] = main_matrix_difference
    data['mainVectorDifference'] = main_vector_difference
    
    return data

Example #5

def gen_test_data(value_dimension):
    data = {}
    data['allNodesSize'] = all_nodes_size
    data['valueDimension'] = 1
    data['spatialDimension'] = value_dimension
    data['weight'] = rand.random()
    data['load'] = common_tools.gen_vector(1, rand)
    
    (assembly_indes, test_shape_function, trial_shape_function) = gen_test_trial_shape_function(value_dimension)
    data['testShapeFunction'] = test_shape_function
    data['trialShapeFunction'] = trial_shape_function
    data['assemblyIndes'] = assembly_indes
    
    (main_matrix_difference, main_vector_difference) = assemble_poisson_volume(data)
    
    data['mainMatrixDifference'] = main_matrix_difference
    data['mainVectorDifference'] = main_vector_difference
    
    return data

Example #6

def gen_test_data(value_dimension):
    data = {}
    data['allNodesSize'] = all_nodes_size
    data['valueDimension'] = value_dimension
    data['weight'] = rand.random()
    data['load'] = common_tools.gen_vector(value_dimension, rand)

    shape_func_nodes_num = rand.randint(1, all_nodes_size // 2)
    test_shape_function = common_tools.gen_matrix((1, shape_func_nodes_num),
                                                  rand)
    nodes_assemble_indes = common_tools.gen_nodes_indes(
        shape_func_nodes_num, 0, all_nodes_size, rand)

    data['testShapeFunction'] = test_shape_function
    data['assemblyIndes'] = nodes_assemble_indes

    whole_test_shape_function_vector = common_tools.shape_func_to_whole_vector(
        test_shape_function, nodes_assemble_indes, all_nodes_size)
    data['mainVectorDifference'] = assemble_general_force(
        data['weight'], data['load'], whole_test_shape_function_vector)

    return data