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How to use test_variables method in pyresttest

Best Python code snippet using pyresttest_python

test_data.py

Source:test_data.py

1import numpy as np2from gradientascent.ascender import Ascender, Coordinate3from pytest import param4from test_helpers import create_ascender5def test_get_bordering_coordinates_success():6    test_variables = "array, current_coordinate, expected_result"7    test_data = [8        param(9            np.zeros((3, 3)),10            Coordinate(0, 0),11            [Coordinate(1, 0), Coordinate(0, 1)],12            id='top_left'13        ),14        param(15            np.zeros((3, 3)),16            Coordinate(1, 1),17            [Coordinate(0, 1), Coordinate(2, 1), Coordinate(1, 2), Coordinate(1, 0)],18            id='centre'19        ),20        param(21            np.zeros((3, 3)),22            Coordinate(2, 2),23            [Coordinate(1, 2), Coordinate(2, 1)],24            id='bottom_right'25        ),26        param(27            np.zeros((3, 3)),28            Coordinate(1, 0),29            [Coordinate(0, 0), Coordinate(2, 0), Coordinate(1, 1)],30            id='central_top'31        )32    ]33    return test_variables, test_data34def test_calculate_steepest_ascent_coordinate_success():35    test_variables = "array, current_coordinate, expected_result"36    test_data = [37        param(38            np.array([[1, 2, 3],39                      [4, 5, 6],40                      [6, 8, 9]]),41            Coordinate(1, 1),42            Coordinate(1, 2),43            id='move_south'44        ),45        param(46            np.array([[1, 2, 3],47                      [4, 9, 6],48                      [6, 8, 5]]),49            Coordinate(2, 2),50            Coordinate(1, 2),51            id='move_west'52        ),53        param(54            np.array([[1, 2, 3],55                      [4, 5, 6],56                      [6, 8, 9]]),57            Coordinate(2, 2),58            Coordinate(2, 2),59            id='stay_stationary'60        ),61        param(62            np.array([[0, 0, 0],63                      [1, 2, 3],64                      [0, 0, 0]]),65            Coordinate(1, 1),66            Coordinate(2, 1),67            id='move_west_from_centre'68        )69    ]70    return test_variables, test_data71def test_generate_ascent_route_success():72    test_variables = "array, start_coordinate, expected_result"73    test_data = [74        param(75            np.array([[0, 1, 0],76                      [0, 0, 0],77                      [0, 0, 0]]),78            Coordinate(0, 0),79            [Coordinate(0, 0), Coordinate(1, 0)],80            id='single_step'81        ),82        param(83            np.array([[1, 2, 3],84                      [0, 0, 4],85                      [0, 0, 5]]),86            Coordinate(0, 0),87            [Coordinate(0, 0), Coordinate(1, 0), Coordinate(2, 0),88             Coordinate(2, 1), Coordinate(2, 2)],89             id='north_east_pass'90        )91        # param(92        #     np.array([[1, 2, 3],93        #               [2, 2, 4],94        #               [1, 1, 5]]),95        #     Coordinate(0, 0),96        #     [Coordinate(0, 0), Coordinate(1, 0), Coordinate(2, 0),97        #      Coordinate(2, 1), Coordinate(2, 2)],98        #      id='north_east_pass'99        # ),100    ]101    return test_variables, test_data102def test_create_summit_heatmap_success():103    test_variables = "ascender, expected_result"104    test_data = [105        param(106            create_ascender(np.array([[1, 2, 1],107                                      [2, 3, 4],108                                      [1, 2, 5]])),109            np.array([[1, 1, 1],110                      [1, 1, 1],111                      [1, 1, 1]]),112            id='all_reach_top_3x3'113            )114    ]115    return test_variables, test_data116def test_is_visited_success():117    test_variables = "ascender, summit_heatmap, coordinate, expected_result"118    test_data = [119        param(120            create_ascender(np.array([[1, 2, 3],121                                      [2, 2, 4],122                                      [1, 1, 5]])),123            np.array([[-1, -1, -1],124                      [-1, -1, -1],125                      [0, -1, -1]]),126            Coordinate(0, 2),127            True,128            id='bottom_left_visited'129        ),130        param(131            create_ascender(np.array([[1, 2, 3],132                                      [2, 2, 4],133                                      [1, 1, 5]])),134            np.array([[-1, -1, -1],135                      [-1, -1, -1],136                      [0, -1, -1]]),137            Coordinate(2, 2),138            False,139            id='bottom_right_unvisited'140        )141    ]142    return test_variables, test_data143def test_get_summit_coord_success():144    test_variables = "ascender, expected_result"145    test_data = [146        param(147            create_ascender(np.array([[1, 2, 3],148                                      [2, 2, 4],149                                      [8, 1, 5]])),150            Coordinate(0, 2),151            id='summit_bottom_left'152        )153    ]...

upstream_pipeline_test.py

Source:upstream_pipeline_test.py

1import os2import tempfile3from oais_utils.validate import validate_sip4from .. import main5"""6All these tests cover different supported pipelines.7Based on the parameters given at the test_variables,8each function calls the pipeline_results() which runs bagit-create and9validates the result using the oais_utils.validate method and returns True or False.10"""11def test_codimd_pipeline():12    test_variables = {13        "source": "codimd",14        # This note should be set as EDITABLE and be PUBLISHED or it15        # won't be accessible without a token16        "recid": "tBD632vFt",17        "dry_run": False,18    }19    valid = pipeline_results(20        test_variables["source"],21        test_variables["recid"],22        test_variables["dry_run"],23    )24    assert valid is True25def test_indico_pipeline():26    # So we can keep INDICO_KEY uncommitted and read it from an environment variable set for the ci/cd job27    token = os.environ["INDICO_KEY"]28    test_variables = {29        "source": "indico",30        "recid": 1024767,31        "dry_run": False,32        "token": token,33    }34    valid = pipeline_results(35        test_variables["source"],36        test_variables["recid"],37        test_variables["dry_run"],38        test_variables["token"],39    )40    assert valid is True41def test_cds_pipeline():42    test_variables = {"source": "cds", "recid": 2728246, "dry_run": True}43    valid = pipeline_results(44        test_variables["source"], test_variables["recid"], test_variables["dry_run"]45    )46    assert valid is True47"""48def test_cds_pipeline():49    test_variables = {"source": "ilcdoc", "recid": 62959, "dry_run": True}50    valid = pipeline_results(51        test_variables["source"], test_variables["recid"], test_variables["dry_run"]52    )53    assert valid == True54"""55def test_zenodo_pipeline():56    test_variables = {"source": "zenodo", "recid": 3911261, "dry_run": True}57    valid = pipeline_results(58        test_variables["source"], test_variables["recid"], test_variables["dry_run"]59    )60    assert valid is True61def test_cod_pipeline():62    test_variables = {"source": "cod", "recid": 10101, "dry_run": True}63    valid = pipeline_results(64        test_variables["source"], test_variables["recid"], test_variables["dry_run"]65    )66    assert valid is True67"""68def test_inveniordm_pipeline():69    test_variables = {"source": "inveniordm", "recid": "v3vqp-bfg07", "dry_run": True}70    valid = pipeline_results(71        test_variables["source"], test_variables["recid"], test_variables["dry_run"]72    )73    assert valid == True74"""75def pipeline_results(source, recid, dry_run, token=None):76    # Prepare a temporary folder to save the results77    with tempfile.TemporaryDirectory() as tmpdir1:78        # Run Bagit Create with the following parameters:79        # Save the results to tmpdir180        main.process(81            recid=recid,82            source=source,83            loglevel=0,84            target=tmpdir1,85            dry_run=dry_run,86            token=token,87        )88        # Check inside the tmpdir1 for any folders. If it finds one, this will be the folder created by Bagit Create.89        target_sip_list = os.listdir(tmpdir1)90        # Run validate_sip on the folder that was found91        valid_structure = validate_sip(os.path.join(tmpdir1, target_sip_list[0]))...

test2.py

Source:test2.py

1import json2import timeit3from threadpoolctl import threadpool_limits4import numpy as np5import cupy as cp6import os7numpydot = True8discrete = True9threads = 810use_cuda = False11#os.environ["MKL_DYNAMIC"] = "FALSE"12#os.environ["OMP_DYNAMIC"] = "FALSE"13#os.environ["MKL_NUM_THREADS"] = str(threads)14#os.environ["OMP_NUM_THREADS"] = str(threads)15#os.environ["MKL_DOMAIN_NUM_THREADS"] = "MKL_BLAS=4"16f = open('./test_variables.json', "r")17test_variables = json.loads(f.read())18if use_cuda:19    A = cp.array(test_variables['A_d'])20    B = cp.array(test_variables['B_d'])21    C = cp.array(test_variables['C'])22    D = cp.array(test_variables['D'])23    u_fix = cp.array(test_variables['u_fix'])24    Ad = cp.array(test_variables['A_d_foh'])25    Bd1 = cp.array(test_variables['B1_d_foh'])26    Bd0 = cp.array(test_variables['B0_d_foh'])27else:28    A = np.array(test_variables['A_d'])29    B = np.array(test_variables['B_d'])30    C = np.array(test_variables['C'])31    D = np.array(test_variables['D'])32    u_fix = np.array(test_variables['u_fix'])33    Ad = np.array(test_variables['A_d_foh'])34    Bd1 = np.array(test_variables['B1_d_foh'])35    Bd0 = np.array(test_variables['B0_d_foh'])36n_states = A.shape[0]37n_inputs = B.shape[1]38n_outputs = C.shape[0]39n_steps = len(u_fix[0, :])40if use_cuda:41    xout = cp.zeros((n_states, n_steps))42    yout = cp.zeros((n_outputs, n_steps))43else:44    xout = np.zeros((n_states, n_steps))45    yout = np.zeros((n_outputs, n_steps))46limit = 1047def sim():48    for n in range(0, limit):49        # print(str(100*n/limit) + '%')50        if discrete:51            if use_cuda:52                for i in range(0, n_steps - 1):53                    global yout54                    xout[:, i + 1] = cp.dot(A, xout[:, i]) + cp.dot(B, u_fix[:, i])55                    yout[:, i] = cp.dot(C, xout[:, i]) + cp.dot(D, u_fix[:, i])56            elif numpydot:57                for i in range(0, n_steps - 1):58                    xout[:, i + 1] = np.dot(A, xout[:, i]) + np.dot(B, u_fix[:, i])59                    yout[:, i] = np.dot(C, xout[:, i]) + np.dot(D, u_fix[:, i])60            else:61                for i in range(0, len(u_fix[0, :]) - 1):62                    xout[:, i + 1] = A @ xout[:, i] + B @ u_fix[:, i]63                    yout[:, i] = C @ xout[:, i] + D @ u_fix[:, i]64        else:65            if use_cuda:66                for i in range(1, n_steps):67                    xout[:, i] = cp.dot(Ad, xout[:, i - 1]) + cp.dot(Bd0, u_fix[:, i - 1]) + cp.dot(Bd1, u_fix[:, i])68                yout = cp.dot(C, xout) + cp.dot(D, u_fix)69            elif numpydot:70                for i in range(1, n_steps):71                    xout[:, i] = np.dot(Ad, xout[:, i - 1]) + np.dot(Bd0, u_fix[:, i - 1]) + np.dot(Bd1, u_fix[:, i])72                yout = np.dot(C, xout) + np.dot(D, u_fix)73            else:74                for i in range(1, n_steps):75                    xout[:, i] = (Ad @ xout[:, i - 1] + Bd0 @ u_fix[:, i - 1] + Bd1 @ u_fix[:, i])76                yout = C @ xout + D @ u_fix77    if use_cuda:78        cp.cuda.Device().synchronize()79with threadpool_limits(limits=threads):80    res = timeit.timeit(lambda: sim(), number=5)81    #sim()...

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