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How to use assert_dict_eq method in pyresttest

Best Python code snippet using pyresttest_python

data.py

...86    logging.debug(f"match_stdout_to_json_file: stdout={stdout!r}")87    logging.debug(f"match_stdout_to_json_file: file={obj!r}")88    if isinstance(obj, dict):89        stdout = {key: value for key, value in stdout.items() if key in obj}90        assert_dict_eq(obj, stdout)91    elif isinstance(obj, list):92        obj = {"key": obj}93        stdout = {"key": stdout}94        assert_dict_eq(obj, stdout)95        assert_dict_eq(obj, stdout)96    else:97        assert_eq(obj, stdout)98def match_stdout_to_json_file_exactly(ctx, filename=None):99    runcmd_get_stdout = globals()["runcmd_get_stdout"]100    assert_eq = globals()["assert_eq"]101    assert_dict_eq = globals()["assert_dict_eq"]102    stdout = runcmd_get_stdout(ctx)103    stdout = json.loads(stdout.strip())104    obj = json.load(open(filename))105    logging.debug(f"match_stdout_to_json_file: stdout={stdout!r}")106    logging.debug(f"match_stdout_to_json_file: file={obj!r}")107    if isinstance(obj, list):108        obj = {"key": obj}109        stdout = {"key": stdout}110        assert_dict_eq(obj, stdout)111    elif isinstance(obj, dict):112        assert_dict_eq(obj, stdout)113    else:114        assert_eq(obj, stdout)115def manifests_match(ctx, expected=None, actual=None):116    assert_eq = globals()["assert_eq"]117    assert_dict_eq = globals()["assert_dict_eq"]118    logging.debug(f"comparing manifests {expected} and {actual}")119    expected_objs = list(yaml.safe_load_all(open(expected)))120    actual_objs = list(yaml.safe_load_all(open(actual)))121    logging.debug(f"there are {len(expected_objs)} and {len(actual_objs)} objects")122    i = 0123    while expected_objs and actual_objs:124        e = expected_objs.pop(0)125        a = actual_objs.pop(0)126        logging.debug(f"comparing manifest objects at index {i}:")127        logging.debug(f"  expected: {e}")128        logging.debug(f"  actual  : {a}")129        assert_dict_eq(e, a)130        i += 1131    logging.debug(f"remaining expected objecvts: {expected_objs}")132    logging.debug(f"remaining actual objecvts  : {actual_objs}")133    assert_eq(expected_objs, [])134    assert_eq(actual_objs, [])135    logging.debug(f"manifests {expected} and {actual} match")136def file_is_readable_by_owner(ctx, filename=None):137    assert_eq = globals()["assert_eq"]138    st = os.lstat(filename)139    mode = stat.S_IMODE(st.st_mode)140    logging.debug("file mode: %o", mode)141    assert_eq(mode, 0o400)142def file_does_not_contain(ctx, filename=None, pattern=None):143    data = open(filename).read()...

kmeans_tests.py

Source: kmeans_tests.py

2    assign_data_to_closest_centroid, update_assignment,\3    mean_of_points, update_centroids4import numpy as np5# help functions6def assert_dict_eq(dict1, dict2):7    assert type(dict1) is dict8    assert type(dict2) is dict9    # keys10    assert dict1.keys() == dict2.keys()11    # values12    for k, v in dict2.items():13        matrix2 = np.array(v)14        matrix1 = np.array(dict1[k])15        assert np.allclose(np.sort(matrix1, axis=0), np.sort(matrix2, axis=0))16def setup_data_centroids():17    data = [18            [-1.01714716,  0.95954521,  1.20493919,  0.34804443],19            [-1.36639346, -0.38664658, -1.02232584, -1.05902604],20            [1.13659605, -2.47109085, -0.83996912, -0.24579457],21            [-1.48090019, -1.47491857, -0.6221167,  1.79055006],22            [-0.31237952,  0.73762417,  0.39042814, -1.1308523],23            [-0.83095884, -1.73002213, -0.01361636, -0.32652741],24            [-0.78645408,  1.98342914,  0.31944446, -0.41656898],25            [-1.06190687,  0.34481172, -0.70359847, -0.27828666],26            [-2.01157677,  2.93965872,  0.32334723, -0.1659333],27            [-0.56669023, -0.06943413,  1.46053764,  0.01723844]28        ]29    random_centroids = {30            "centroid1": [0.1839742, -0.45809263, -1.91311585, -1.48341843],31            "centroid2": [-0.71767545, 1.2309971, -1.00348728, -0.38204247],32        }33    bad_centroids = {34            "centroid1": [0.1839742, -0.45809263, -1.91311585, -1.48341843],35            "centroid2": [10, 10, 10, 10],36        }37    return data, random_centroids, bad_centroids38# tests begin39def test_eucliean_distance():40    # int41    data1 = [0, 0, 0, 0]42    data2 = [1, 1, 1, 1]43    assert euclidean_distance_between_data(data1, data2) == 244    # random45    data1 = np.random.randn(100)46    data2 = np.random.randn(100)47    assert np.allclose(np.array(euclidean_distance_between_data(data1.tolist(),48                       data2.tolist())),49                       np.linalg.norm(data1 - data2).tolist())50    print("test_eucliean_distance passed.")51def test_assign_data():52    # set up53    data_empty = [0, 0, 0, 0]54    data_random = [1.1, 5.3, 55, -12.1]55    centroids = {"centroid1": [1, 1, 1, 1],56                 "centroid2": [-10.1, 1, 23.2, 5.099]}57    assert assign_data_to_closest_centroid(data_empty, centroids) \58        == "centroid1"59    assert assign_data_to_closest_centroid(data_random, centroids) \60        == "centroid2"61    print("test_assign_data passed.")62def test_update_assignment():63    # set up64    data, random_centroids, bad_centroids = setup_data_centroids()65    # random66    rtn = update_assignment(data, random_centroids)67    answer = {68        "centroid1": [[-1.36639346, -0.38664658, -1.02232584, -1.05902604],69                      [1.13659605, -2.47109085, -0.83996912, -0.24579457],70                      [-0.83095884, -1.73002213, -0.01361636, -0.3265274]],71        "centroid2": [[-1.01714716, 0.95954521, 1.20493919, 0.34804443],72                      [-1.48090019, -1.47491857, -0.6221167, 1.79055006],73                      [-0.31237952, 0.73762417, 0.39042814, -1.1308523],74                      [-0.78645408, 1.98342914, 0.31944446, -0.41656898],75                      [-1.06190687, 0.34481172, -0.70359847, -0.27828666],76                      [-2.01157677, 2.93965872, 0.32334723, -0.1659333],77                      [-0.56669023, -0.06943413, 1.46053764, 0.01723844]]78    }79    assert_dict_eq(rtn, answer)80    # bad81    rtn = update_assignment(data, bad_centroids)82    answer = {83        "centroid1": [[-1.36639346, -0.38664658, -1.02232584, -1.05902604],84                      [1.13659605, -2.47109085, -0.83996912, -0.24579457],85                      [-0.83095884, -1.73002213, -0.01361636, -0.3265274],86                      [-1.01714716, 0.95954521, 1.20493919, 0.34804443],87                      [-1.48090019, -1.47491857, -0.6221167, 1.79055006],88                      [-0.31237952, 0.73762417, 0.39042814, -1.1308523],89                      [-0.78645408, 1.98342914, 0.31944446, -0.41656898],90                      [-1.06190687, 0.34481172, -0.70359847, -0.27828666],91                      [-2.01157677, 2.93965872, 0.32334723, -0.1659333],92                      [-0.56669023, -0.06943413, 1.46053764, 0.01723844]]93    }94    assert_dict_eq(rtn, answer)95    print("test_update_assignment passed.")96def test_mean_of_points():97    # empty98    data = [99            [0, 0, 0, 0],100            [0, 0, 0, 0],101        ]102    assert mean_of_points(data) == [0, 0, 0, 0]103    # random104    data = np.random.randn(10, 4)105    assert np.allclose(np.array(mean_of_points(data.tolist())),106                       data.mean(axis=0))107    print("test_mean_of_points passed.")108def test_update_centroids():109    # set up110    data, random_centroids, bad_centroids = setup_data_centroids()111    # random112    assignment_dict = update_assignment(data, random_centroids)113    answer = {114        'centroid2': [-1.03386497, 0.774388037, 0.33899735, 0.023455955],115        'centroid1': [-0.35358541, -1.529253186, -0.62530377, -0.543782673]116    }117    rtn = update_centroids(assignment_dict)118    assert_dict_eq(rtn, answer)119    # bad120    assignment_dict = update_assignment(data, bad_centroids)121    answer = {122        'centroid1': [-0.82978110, 0.08329567, 0.04970701, -0.146715632]123    }124    rtn = update_centroids(assignment_dict)125    assert_dict_eq(rtn, answer)126    print("test_update_centroids passed.")127if __name__ == '__main__':128    test_eucliean_distance()129    test_assign_data()130    test_update_assignment()131    test_mean_of_points()132    test_update_centroids()...

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