def gen_lagrangle_shape_function():
lagrangle_shape_func_nodes_num = rand.randint(1, all_lagrangle_nodes_size)
lagrangle_shape_function = common_tools.gen_matrix(
(1, lagrangle_shape_func_nodes_num), rand)
lagrangle_assemble_indes = common_tools.gen_nodes_indes(
lagrangle_shape_func_nodes_num, all_nodes_size,
all_nodes_size + all_lagrangle_nodes_size, rand)
return (lagrangle_assemble_indes, lagrangle_shape_function)
def gen_test_trial_shape_function():
shape_func_nodes_num = rand.randint(1, all_nodes_size // 2)
test_shape_function = common_tools.gen_matrix((1, shape_func_nodes_num),
rand)
trial_shape_function = common_tools.gen_matrix((1, shape_func_nodes_num),
rand)
assembly_indes = common_tools.gen_nodes_indes(shape_func_nodes_num, 0,
all_nodes_size, rand)
return (assembly_indes, test_shape_function, trial_shape_function)
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
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
def gen_test_trial_shape_function(spatial_dimension):
shape_func_nodes_num = rand.randint(1, all_nodes_size // 2)
test_shape_function = common_tools.gen_matrix((1 + spatial_dimension, shape_func_nodes_num), rand)
trial_shape_function = common_tools.gen_matrix((1 + spatial_dimension, shape_func_nodes_num), rand)
assembly_indes = common_tools.gen_nodes_indes(shape_func_nodes_num, 0, all_nodes_size, rand)
return (assembly_indes, test_shape_function, trial_shape_function)
def gen_lagrangle_shape_function():
lagrangle_shape_func_nodes_num = rand.randint(1, all_lagrangle_nodes_size)
lagrangle_shape_function = common_tools.gen_matrix((1, lagrangle_shape_func_nodes_num), rand)
lagrangle_assemble_indes = common_tools.gen_nodes_indes(lagrangle_shape_func_nodes_num, all_nodes_size, all_nodes_size + all_lagrangle_nodes_size, rand)
return (lagrangle_assemble_indes, lagrangle_shape_function)