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How to use test_merge_dicts method in molecule

Best Python code snippet using molecule_python

test_utils.py

Source:test_utils.py

...5import numpy as np6import pandas as pd7from tests.helper_functions import read_test_data8should_days_in_month = np.array([31., 29., 31., 30., 31., 30., 31., 31., 30., 31., 30., 31.])9def test_merge_dicts():10    d1 = {0:0, 1:1}11    d2 = {2:2, 3:3}12    d = merge_dicts(d1, d2)13    for i, (k, v) in enumerate(d.items()):14        assert k == v == i15def test_conditional_temp_resample():16    ds = pd.Series(index=pd.date_range(start='2000-01-01', end='2000-12-31', freq='D'),17                   data=[1.]*366)18    assert dt_freq(ds.index) == (1., 'D')19    resampled, count = conditional_temp_resample(ds, 'M', threshold=0.1)20    assert dt_freq(resampled.index) == (1., 'M')21    np.testing.assert_almost_equal(count['count_is'], should_days_in_month)22    np.testing.assert_almost_equal(count['count_should'], should_days_in_month / 10.)23    assert all(resampled.values == 1.)24def test_df_conditional_temp_resample():25    df = pd.DataFrame(index=pd.date_range(start='2000-01-01', end='2000-12-31', freq='D'),26                      data={'data1': [1.] * 366, 'data2': [10.] * 366})27    assert dt_freq(df.index) == (1., 'D')28    resampled = df_conditional_temp_resample(df, 'M', resample_threshold=0.1)29    assert dt_freq(df.index) == (1., 'D')30    assert dt_freq(resampled.index) == (1., 'M')31    assert all(resampled['data1'].values == 1.)32    assert all(resampled['data2'].values == 10.)33def test_filter_by_qunatiles():34    df = pd.DataFrame(index=range(10), data={'data':[1,5,5,5,5,5,5,5,5,10]})35    filter_mask = filter_by_quantiles(df, 'data', 0.1, 0.9)36    assert filter_mask.iloc[0] == 137    assert filter_mask.iloc[-1] == 138    np.testing.assert_equal(filter_mask.iloc[1:-1].values, np.array([0,0,0,0,0,0,0,0,]))39def test_autocorr():40    df = pd.Series(index=range(10), data=[0,1] * 5)41    ac = autocorr(df, lag=[0,1,2])42    np.testing.assert_almost_equal([1, -1 , 1], ac, decimal=5)43def test_crosscorr():44    df = pd.Series(index=range(10), data=[0,1] * 5)45    cc = crosscorr(df, df, lag=[0,1,2])46    np.testing.assert_almost_equal([1, -1 , 1], cc, decimal=5)47def test_fatten_dict():48    test_dict = {'dict1': {'d1k1' : 'v1', 'd1k2' : 'v2'},49                 'dict2': {'d2k1' : 'v3', 'd2k2' : 'v4'} }50    flat_dict = flatten_dict(test_dict)51    assert(flat_dict['dict1_d1k1'] == 'v1')52    assert(flat_dict['dict1_d1k2'] == 'v2')53    assert(flat_dict['dict2_d2k1'] == 'v3')54    assert(flat_dict['dict2_d2k2'] == 'v4')55def test_days_in_month():56    dim = should_days_in_month.copy()57    for year in [2016, 2017]: # leap, no leap58        days = days_in_month(month=range(1,13), year=year, astype=float)59        if year == 2017:60            dim[1] = 28.61        else:62            dim[1] = 29.63        np.testing.assert_equal(days, dim)64def test_midmonth_target_values():65    M = np.array([1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.])66    t = mid_month_target_values(M)67    np.testing.assert_almost_equal(t, M)68def test_dt_freq():69    ts = read_test_data(654079)70    assert dt_freq(ts.index) == (1., 'D')71    assert dt_freq(ts['CCI'].dropna().resample('M').mean().index) == (1., 'M')72if __name__ == '__main__':73    test_merge_dicts()74    test_conditional_temp_resample()75    test_df_conditional_temp_resample()76    test_filter_by_qunatiles()77    test_autocorr()78    test_crosscorr()79    test_fatten_dict()80    test_days_in_month()81    test_midmonth_target_values()...

config_test.py

Source:config_test.py

2# stdlib imports3import os4import json5from gmprocess.config import merge_dicts6def test_merge_dicts():7    test_subject = [8        {9            "a": "yes",10            "b": [0, 1, 2],11            "c": 1.0,12            "d": 2.0,13            "e": {14                "e.1": 2,15                "e.2": [1, 2],16                "e.3": {17                    "e.3.1": "a",18                    "e.3.2": 12.0,19                },20            },21            "h": {22                "h.1": 10.0,23                "h.2": 11.0,24            },25        },26        {27            "c": 1.1,  # change value28            "e": {29                "e.2": [1, 2, 3],  # change array30            },31        },32        {33            "d": {  # change value to dict34                "d.1": 2.2,35                "d.2": 3.3,36            },37            "e": {  # change value in nested dict38                "e.3": {39                    "e.3.1": "ccc",40                },41            },42        },43        {44            "f": 4.4,  # add value45        },46        {47            "g": {  # add nested dict48                "g.1": 2,49                "g.2": 3,50            },51            "h": 0.1,  # change dict to value52        },53    ]54    result_expected = {55        "a": "yes",56        "b": [0, 1, 2],57        "c": 1.1,58        "d": {59            "d.1": 2.2,60            "d.2": 3.3,61        },62        "e": {63            "e.1": 2,64            "e.2": [1, 2, 3],65            "e.3": {66                "e.3.1": "ccc",67                "e.3.2": 12.0,68            },69        },70        "f": 4.4,71        "g": {72            "g.1": 2,73            "g.2": 3,74        },75        "h": 0.1,76    }77    test_result = merge_dicts(test_subject)78    dump_expected = json.dumps(result_expected, sort_keys=True)79    dump_result = json.dumps(test_result, sort_keys=True)80    assert(dump_expected == dump_result)81if __name__ == '__main__':82    os.environ['CALLED_FROM_PYTEST'] = 'True'...

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