General Framework Tests

Aggregator Tests

`test_example_aggregator_has_known_shape`	Creating simple aggregator input
`test_save`
`test_collision_of_calculations_raises_by_example`
`test_load`
`test_compute_of_a_graph_vs_known_implementation`	Tests data transfer through the Aggregator
`test_composition_of_specific_agrs_yields_known_agr`
`test_aggregator_input_works_as_expected`
`test_ida_root_functions`
`test_agr_input_connect`
`test_ida_continuous_mode`
`test_associated_calculations_for_a_known_example`

mock_agr()[source]

test_add_variables_accepts_added_variables_correctly()[source]

Return type:: None

test_add_variables_creates_new_edge_if_referenced_edge_doesnt_exist()[source]

test_add_variables_is_idempotent()[source]

Return type:: None

test_aggregator_input_works_as_expected()[source]

test_agr_identifies_missing_variables_in_indices_for_known_examples(graph, expectation)[source]

test_agr_input_connect()[source]

test_associated_calculations_for_a_known_example(mock_agr)[source]

test_collision_of_calculations_raises_by_example()[source]

Return type:: None

test_composition_of_specific_agrs_yields_known_agr()[source]

test_compute_of_a_graph_vs_known_implementation(mock_agr)[source]

Tests data transfer through the Aggregator

Return type:: None

test_create_constraints_for_a_known_example()[source]

test_create_constraints_with_bad_name_errors_well()[source]

test_example_aggregator_has_known_shape(mock_agr)[source]: Creating simple aggregator input

test_ida_continuous_mode()[source]

test_ida_root_functions()[source]

test_load(mock_agr)[source]

Return type:: None

test_load_reverses_save_by_example(mock_agr)[source]

test_save(mock_agr)[source]

Return type:: None

Data Representation Tests

`test_dataframe_of_vertical_vector_has_multiple_i_single_j`	Tests that a dataframe with vertical vectors has multiple values of i and only 1 value of j.
`test_state_of_vertical_vector_is_vertical`	Tests that a vertically created dataframe is read as vertical vectors.
`test_state_to_dataframe_and_back_is_same`	Tests that going to dataframe and back is unity.
`test_statetimeseries_to_dataframe_and_back_is_same`	Tests that `state_timeseries_from_dataframe` is the inverse of `state_timeseries_to_dataframe`
`test_solution_to_statetimeseries_and_back_is_same_by_example`	Tests that `solution_from_states` is the inverse of `solution_from_states`.

Tests for states and dataframes.

mock_agr()[source]: Simple aggregator example

test_dataframe_of_vertical_vector_has_multiple_i_single_j()[source]

Tests that a dataframe with vertical vectors has multiple values of i and only 1 value of j.

Return type:: None

test_solution_to_statetimeseries_and_back_is_same_by_example(mock_agr)[source]

Tests that solution_from_states is the inverse of solution_from_states.

Return type:: None

test_state_of_vertical_vector_is_vertical()[source]

Tests that a vertically created dataframe is read as vertical vectors.

Return type:: None

test_state_to_dataframe_and_back_is_same()[source]

Tests that going to dataframe and back is unity.

Return type:: None

test_statetimeseries_to_dataframe_and_back_is_same()[source]

Tests that state_timeseries_from_dataframe is the inverse of state_timeseries_to_dataframe

Return type:: None

Calculation (Framework) Tests

`test_unpack_correctly_unpacks_data`
`test_concat_is_at_most_1d`
`test_concat_of_dictionaried_arrays_is_the_same_as_their_numpy_concat`
`test_default_save_has_correct_output_for_one_structure`
`test_default_save_is_compatible_with_calc_variables`
`test_default_load_for_one_structure`
`test_default_load_is_inverse_of_default_save`

test_concat_is_at_most_1d()[source]

Return type:: None

test_concat_of_dictionaried_arrays_is_the_same_as_their_numpy_concat()[source]

Return type:: None

test_default_load_for_one_structure()[source]

Return type:: None

test_default_load_is_inverse_of_default_save()[source]

Return type:: None

test_default_save_has_correct_output_for_one_structure()[source]

Return type:: None

test_default_save_is_compatible_with_calc_variables()[source]

Return type:: None

test_unpack_correctly_excludes_parameters()[source]

Return type:: None

test_unpack_correctly_unpacks_data()[source]

Return type:: None

test_unpack_exclusion_errors_on_missing_variable_name()[source]

Solver Backend Tests

`test_dae_solver_using_planar_pendulum_against_scikits_odes_documented_solution`	This is an example given by the Scikits.Odes developers for a simple usage case: A planar pendulum.
`test_dae_with_undetermined_var_fails_as_TransientRuntimeError`	This test constructs a calculation in which one variable is free, meaning its algebraic equation returns 0 for any input.
`test_dae_solver_accepts_all_algebraic_calculations`	Testing the possibility of working with an all algebraic set of equations in scikits.odes.

test_dae_solver_accepts_all_algebraic_calculations()[source]: Testing the possibility of working with an all algebraic set of equations in scikits.odes.

test_dae_solver_using_planar_pendulum_against_scikits_odes_documented_solution()[source]: This is an example given by the Scikits.Odes developers for a simple usage case: A planar pendulum. For further explanation please refer to their documentation.

test_dae_with_undetermined_var_fails_as_TransientRuntimeError()[source]

This test constructs a calculation in which one variable is free, meaning its algebraic equation returns 0 for any input. It is also disconnected from the rest of the equations.

Such a calculation is expected to fail.

Utilities Tests

`test_pair_mean_for_one_simple_case`
`test_just`
`test_offset`
`test_offset_of_an_unknown_type_raises_TypeError`
`test_cosine_shape_with_ppf_1_is_uniform`
`test_cosine_shape_achieves_maximum_at_center`

test_cosine_extrapolation_endpoints_are_zero_for_high_resolution()[source]

This test ensures that the underlying cosine function nullifies at its extrapolation points.

The test needs high resolution because the return value is cell-integrated, so it never truly nullifies in a cell, unless a cell goes beyond the extrapolation points.

Return type:: None

test_cosine_extrapolation_has_maximum_at_midpoint()[source]

Return type:: None

test_cosine_extrapolation_has_sum_1_over_inner_region()[source]

Return type:: None

test_cosine_shape_achieves_maximum_at_center()[source]

Return type:: None

test_cosine_shape_max_is_like_ppf_for_high_resolution()[source]

This test ensures that the underlying cosine shape’s max to mean ratio meets the desired PPF value.

Since the function returns cell-integrated values, in order to approximate the ppf value we need a high enough resolution.

Return type:: None

test_cosine_shape_sums_to_1()[source]

Return type:: None

test_cosine_shape_throws_for_illegal_ppf()[source]

Return type:: None

test_cosine_shape_with_ppf_1_is_uniform()[source]

test_just()[source]

test_offset()[source]

Return type:: None

test_offset_of_an_unknown_type_raises_TypeError()[source]

test_pair_mean_1d_is_pair_mean()[source]

Return type:: None

test_pair_mean_for_one_simple_case()[source]

test_uniform_x_power_shape_works_with_clad_N_equals_zero()[source]

Return type:: None