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How to use get_single method in Gherkin-python

Best Python code snippet using gherkin-python

test_dsfaker.py

Source:test_dsfaker.py

...18class TestGenerator:19    def test_raises(self):20        g = Generator()21        with pytest.raises(NotImplementedError):22            g.get_single()23        with pytest.raises(NotImplementedError):24            g.get_batch(200)25    def test_stream_single(self):26        g = Autoincrement()27        c = 028        for i in range(1000):29            for val in g.stream_single():30                assert val == c31                c += 132                if c > 100000:33                    break34    def test_stream_batch(self):35        g = Autoincrement()36        c = 037        for i in range(10):38            nb = np.random.randint(2, 1000)39            for values in g.stream_batch(nb):40                for val in values:41                    assert val == c42                    c += 143                if c > 100000:44                    break45    def test_copy(self):46        g1 = Autoincrement()47        g2 = g1.copy()48        g2.get_single()49        assert g1.get_single() == g2.get_single() - 150    def _get_two_unique_gen(self):51        va = np.random.randint(-1000, +1000, dtype=np.int32)52        vb = np.random.randint(0, 10000, dtype=np.int32)53        a = ConstantValueGenerator(va, dtype=np.int64)54        b = ConstantValueGenerator(vb, dtype=np.int64)55        return va, vb, a, b56    def test_add_op(self):57        va, vb, a, b = self._get_two_unique_gen()58        c = a + b59        assert c.get_single() == va + vb60    def test_add_op_scalar(self):61        va, vb, a, b = self._get_two_unique_gen()62        assert (2 + a).get_single() == 2 + va63        assert (b + 6).get_single() == vb + 664        assert sum((7 + b).get_batch(10)) == 10 * (7 + vb)65    def test_sub_op(self):66        va, vb, a, b = self._get_two_unique_gen()67        c = a - b68        assert c.get_single() == va - vb69    def test_sub_op_scalar(self):70        va, vb, a, b = self._get_two_unique_gen()71        assert (2 - a).get_single() == 2 - va72        assert (b - 6).get_single() == vb - 673    def test_truediv_op(self):74        va, vb, a, b = self._get_two_unique_gen()75        c = a / b76        assert c.get_single() == va / vb77    def test_truediv_op_scalar(self):78        va, vb, a, b = self._get_two_unique_gen()79        assert (2 / a).get_single() == 2 / va80        assert (b / 6).get_single() == vb / 681    def test_floordiv_op(self):82        va, vb, a, b = self._get_two_unique_gen()83        c = a // b84        assert c.get_single() == va // vb85    def test_floordiv_op_scalar(self):86        va, vb, a, b = self._get_two_unique_gen()87        assert (2 // a).get_single() == 2 // va88        assert (b // 6).get_single() == vb // 689    def test_mul_op(self):90        va, vb, a, b = self._get_two_unique_gen()91        c = a * b92        assert c.get_single() == va * vb93    def test_mul_op_scalar(self):94        va, vb, a, b = self._get_two_unique_gen()95        assert (2 * a).get_single() == 2 * va96        assert (b * 6).get_single() == vb * 697    def test_pow_op(self):98        va, vb, a, b = self._get_two_unique_gen()99        c = a ** b100        assert c.get_single() == va ** vb101    def test_pow_op_scalar(self):102        va, vb, a, b = self._get_two_unique_gen()103        assert (2 ** b).get_single() == 2 ** vb104        assert (a ** 6).get_single() == va ** 6105    def test_mod_op(self):106        va, vb, a, b = self._get_two_unique_gen()107        c = a % b108        assert c.get_single() == va % vb109    def test_mod_op_scalar(self):110        va, vb, a, b = self._get_two_unique_gen()111        assert (2 % a).get_single() == 2 % va112        assert (b % 6).get_single() == vb % 6113    def _get_two_unique_gen_binary(self):114        va = np.random.randint(0, 2, dtype=np.int32)115        vb = np.random.randint(0, 2, dtype=np.int32)116        a = ConstantValueGenerator(va, dtype=np.int64)117        b = ConstantValueGenerator(vb, dtype=np.int64)118        return va, vb, a, b119    def test_and_op(self):120        va, vb, a, b = self._get_two_unique_gen_binary()121        c = a & b122        assert c.get_single() == va & vb123    def test_and_op_scalar(self):124        va, vb, a, b = self._get_two_unique_gen_binary()125        assert (1 & b).get_single() == 1 & vb126        assert (a & 1).get_single() == va & 1127        assert (0 & b).get_single() == 0 & vb128        assert (a & 0).get_single() == va & 0129    def test_or_op(self):130        va, vb, a, b = self._get_two_unique_gen_binary()131        c = a | b132        assert c.get_single() == va | vb133    def test_or_op_scalar(self):134        va, vb, a, b = self._get_two_unique_gen_binary()135        assert (1 | b).get_single() == 1 | vb136        assert (a | 1).get_single() == va | 1137        assert (0 | b).get_single() == 0 | vb138        assert (a | 0).get_single() == va | 0139    def test_xor_op(self):140        va, vb, a, b = self._get_two_unique_gen_binary()141        c = a ^ b142        assert c.get_single() == va ^ vb143    def test_xor_op_scalar(self):144        va, vb, a, b = self._get_two_unique_gen_binary()145        assert (1 ^ b).get_single() == 1 ^ vb146        assert (a ^ 1).get_single() == va ^ 1147        assert (0 ^ b).get_single() == 0 ^ vb148        assert (a ^ 0).get_single() == va ^ 0149    def test_neg_op(self):150        v = np.random.randint(-1000, +1000, dtype=np.int32)151        c = - ConstantValueGenerator(v, dtype=np.int64)152        assert c.get_single() == - v153class TestBoundingOperator:154    def test_values_single(self):155        n = Sin() * ConstantValueGenerator(50, dtype=np.uint16)156        lb = 0157        ub = 0158        while lb >= ub:159            lb = np.random.randint(-20, 20)160            ub = np.random.randint(-20, 20)161        bg = BoundingOperator(n, lb=lb, ub=ub)162        for i in range(10000):163            assert lb <= bg.get_single() <= ub164    def test_values_batch(self):165        n = Sin() * ConstantValueGenerator(50, dtype=np.uint16)166        lb = 0167        ub = 0168        while lb >= ub:169            lb = np.random.randint(-20, 20)170            ub = np.random.randint(-20, 20)171        bg = BoundingOperator(n, lb=lb, ub=ub)172        for i in range(10):173            nb = np.random.randint(2, 10000)174            values = bg.get_batch(nb)175            for val in values:176                assert lb <= val <= ub177class TestScalingOperator:178    def test_raises(self):179        with pytest.raises(ValueError):180            ScalingOperator(generator=None, lb=10, ub=0, dtype=np.int8)181        with pytest.raises(NotCompatibleGeneratorException):182            ScalingOperator(generator=Generator(), lb=0, ub=10, dtype=np.int8)183    def test_values_single(self):184        triangular_fun = BoundingOperator(185            ApplyFunctionOperator(function=lambda x: abs((x % 4) - 2) - 1, generator=Autoincrement()), lb=-1, ub=1)186        n = ScalingOperator(generator=triangular_fun, lb=-10, ub=10, dtype=np.float32)187        for _ in range(10000):188            assert n.get_single() == 10189            assert n.get_single() == 0190            assert n.get_single() == -10191            assert n.get_single() == 0192    def test_values_batch(self):193        triangular_fun = BoundingOperator(194            ApplyFunctionOperator(function=lambda x: abs((x % 4) - 2) - 1, generator=Autoincrement()), lb=-1, ub=1)195        n = ScalingOperator(generator=triangular_fun, lb=-10, ub=10, dtype=np.float32)196        tmp = [10, 0, -10, 0]197        count = 0198        for i in range(10):199            nb = np.random.randint(2, 1000)200            values = n.get_batch(nb)201            for j, val in enumerate(values):202                assert val == tmp[(count + j) % 4]203            count += nb204class TestApplyFunctionOperator:205    def _get_afo(self, fun):206        generator = Autoincrement()207        afo = ApplyFunctionOperator(function=fun, generator=generator)208        return afo209    def test_type(self):210        afo = self._get_afo(lambda x: 2 * x)211        assert afo.get_single() == 0212        assert isinstance(afo.get_batch(9), np.ndarray)213    def test_shape(self):214        afo = self._get_afo(lambda x: 2 * x)215        nb = np.random.randint(2, 10000)216        assert afo.get_batch(nb).shape == (nb,)217    def test_values_single(self):218        afo = self._get_afo(lambda x: 4 * x + 2)219        for i in range(10000):220            assert afo.get_single() == 4 * i + 2221    def test_values_batch(self):222        afo = self._get_afo(lambda x: 4 * x + 2)223        count = 0224        for i in range(10):225            nb = np.random.randint(2, 10000)226            values = afo.get_batch(nb)227            for j, val in enumerate(values):228                assert val == (count + j) * 4 + 2229            count += nb230class TestAbsoluteOperator:231    def test_values_single(self):232        n = Cos() * ConstantValueGenerator(50, dtype=np.uint16)233        ao = AbsoluteOperator(n)234        for i in range(10000):235            assert ao.get_single() >= 0236    def test_values_batch(self):237        n = Cos() * ConstantValueGenerator(50, dtype=np.uint16)238        ao = AbsoluteOperator(n)239        for i in range(10):240            nb = np.random.randint(2, 10000)241            values = ao.get_batch(nb)242            for val in values:243                assert val >= 0244class TestRepeatPattern:245    def test_type(self):246        rp = RepeatPattern([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])247        assert rp.get_single() == 0248        assert isinstance(rp.get_batch(9), np.ndarray)249    def test_shape(self):250        rp = RepeatPattern([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])251        nb = np.random.randint(2, 10000)252        assert rp.get_batch(nb).shape == (nb,)253    def test_len(self):254        rp = RepeatPattern([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])255        for i in range(10):256            nb = np.random.randint(2, 100000)257            print(nb)258            assert len(rp.get_batch(nb)) == nb259    def test_values_single(self):260        rp = RepeatPattern([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])261        for i in range(10000):262            assert rp.get_single() == i % 10263    def test_values_batch(self):264        rp = RepeatPattern([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])265        idx = 0266        for _ in range(10):267            nb = np.random.randint(2, 10000)268            print(nb)269            for val in rp.get_batch(nb):270                assert val == idx % 10271                idx += 1272class TestAutoincrement:273    def test_type(self):274        ai = Autoincrement(start=-42, step=+42, dtype=np.int32)275        assert ai.get_single() == -42276        assert isinstance(ai.get_batch(42), np.ndarray)277    def test_shape(self):278        ai = Autoincrement(start=-42, step=+42, dtype=np.int32)279        nb = np.random.randint(2, 10000)280        assert ai.get_batch(nb).shape == (nb,)281    def test_values_single(self):282        ai = Autoincrement(start=-42, step=+42, dtype=np.int32)283        for i in range(np.random.randint(10, 10000)):284            val = ai.get_single()285            assert val == -42 + i * 42286    def test_values_batch(self):287        ai = Autoincrement(start=-4.2, step=+4.2, dtype=np.float64)288        count = 0289        for i in range(10):290            nb = np.random.randint(2, 10000)291            values = ai.get_batch(nb)292            for j, val in enumerate(values):293                d = (Decimal(-4.2) + ((Decimal(count + j)) * Decimal(4.2)))294                assert round(Decimal(val), 1) == round(d, 1)295            count += nb296class TestAutoincrementRandom:297    def _get_gen(self):298        start = np.random.randint(-50, +50)299        step = np.random.randint(-10, 10)300        gen = ConstantValueGenerator(step, dtype=np.int32)301        ai = AutoincrementWithGenerator(start=start, generator=gen)302        return start, step, ai303    def test_type(self):304        start, step, ai = self._get_gen()305        assert ai.get_single() == start306        assert isinstance(ai.get_batch(42), np.ndarray)307    def test_shape(self):308        start, step, ai = self._get_gen()309        nb = np.random.randint(2, 100000)310        assert ai.get_batch(nb).shape == (nb,)311    def test_values_single(self):312        start, step, ai = self._get_gen()313        for i in range(np.random.randint(10, 10000)):314            val = ai.get_single()315            assert val == start + i * step316    def test_values_batch(self):317        start, step, ai = self._get_gen()318        count = 0319        for i in range(10):320            nb = np.random.randint(2, 10000)321            values = ai.get_batch(nb)322            for j, val in enumerate(values):323                assert val == start + (count + j) * step324            count += nb325class TestTimeSeries:326    def _get_ts(self):327        time = Autoincrement()328        data = ConstantValueGenerator(value=42, dtype=np.uint16)329        return TimeSeries(time_gen=time, data_gen=data)330    def test_type(self):331        ts = self._get_ts()332        assert ts.get_single() == (0, 42)333        assert isinstance(ts.get_batch(9)[0], np.ndarray)334        assert isinstance(ts.get_batch(9)[1], np.ndarray)335    def test_values_single(self):336        ts = self._get_ts()337        for i in range(1000):338            assert ts.get_single() == (i, 42)339    def test_values_batch(self):340        ts = self._get_ts()341        for i in range(10):342            tt, vv = ts.get_batch(100)343            for j, t in enumerate(tt):344                assert t == 100 * i + j345            for j, v in enumerate(vv):346                assert v == 42347class TestDate:348    def test_values_single(self):349        triangular_fun = BoundingOperator(350            ApplyFunctionOperator(function=lambda x: abs((x % 4) - 2) - 1, generator=Autoincrement()), lb=-1, ub=1)351        rd = RandomDatetime(generator=triangular_fun, start=np.datetime64("1950"), end=np.datetime64("2042"), unit="Y")352        for i in range(10000):353            assert rd.get_single() == np.datetime64('2042')354            assert rd.get_single() == np.datetime64('1996')355            assert rd.get_single() == np.datetime64('1950')356            assert rd.get_single() == np.datetime64('1996')357    def test_values_batch(self):358        triangular_fun = BoundingOperator(359            ApplyFunctionOperator(function=lambda x: abs((x % 4) - 2) - 1, generator=Autoincrement()), lb=-1, ub=1)360        rd = RandomDatetime(generator=triangular_fun, start=np.datetime64("1950"), end=np.datetime64("2042"), unit="Y")361        tmp = [np.datetime64('2042'), np.datetime64('1996'), np.datetime64('1950'), np.datetime64('1996')]362        count = 0363        for i in range(10):364            nb = np.random.randint(2, 1000)365            values = rd.get_batch(nb)366            for j, val in enumerate(values):367                assert val == tmp[(count + j) % 4]368            count += nb369class TestDistribution:370    def test_raise(self):371        with pytest.raises(NotImplementedError):372            d = Distribution()373            d.get_single()374        with pytest.raises(NotImplementedError):375            d = Distribution()376            d.get_batch(10)377class TestDistributions:378    def _get_all_distributions(self):379        distributions = [380            Beta(a=2, b=2),381            Binomial(n=20, p=0.5),382            BinomialNegative(n=20, p=0.5),383            CauchyStandard(),384            Chisquare(k=6),385            ChisquareNonCentral(k=4, nonc=1),386            Dirichlet(alpha=[0.3, 0.3, 0.3]),387            Exponential(),388            F(dfnum=5, dfden=2),389            FNonCentral(dfnum=10, dfden=20, nonc=5),390            Gamma(k=1.0),391            Geometric(p=0.5),392            Gumbel(),393            Hypergeometric(n=50, m=50, N=80),394            Laplace(mu=-5, beta=4),395            Logistic(mu=6, beta=2),396            Lognormal(mu=0, sigma=1.5),397            Lomax(a=2),398            Multinomial(n=10, pvals=[1 / 10 for _ in range(10)]),399            Normal(),400            NormalMultivariate(mu=[0, 0], cov=[[1, 0], [0, 100]]),401            Poisson(lam=4),402            Power(a=2),403            Randint(lb=-10, ub=20),404            RandomSample(),405            Rayleigh(sigma=1),406            Triangular(left=10, mode=22, right=42),407            Uniform(lb=-42, ub=84),408            Vonmises(mu=-1, kappa=1),409            Wald(mu=2, lam=0.2),410            Weibull(a=0.5),411            Zipf(a=2),412            Choice(probabilities=[.05, .15, .05, .20, .25, .10, .20])413        ]414        return distributions415    def test_attributes(self):416        for d in self._get_all_distributions():417            if isinstance(d, DistributionUnbounded):418                assert d.lb is None419                assert d.ub is None420            elif isinstance(d, DistributionNonNegative):421                assert d.lb is not None422                assert d.ub is None423            elif isinstance(d, DistributionBounded):424                assert d.lb is not None425                assert d.ub is not None426    def test_bounds_single(self):427        for d in self._get_all_distributions():428            if isinstance(d, DistributionBounded):429                for _ in range(10000):430                    v = d.get_single()431                    assert d.lb <= v <= d.ub432            elif isinstance(d, DistributionNonNegative):433                for _ in range(10000):434                    v = d.get_single()435                    if isinstance(v, np.ndarray):436                        for vv in v:437                            assert d.lb <= vv438                    else:439                        assert d.lb <= v440            elif isinstance(d, DistributionUnbounded):441                for _ in range(10000):442                    v = d.get_single()443    def test_bounds_batch(self):444        for d in self._get_all_distributions():445            if isinstance(d, DistributionBounded):446                for v in d.get_batch(10000):447                    assert d.lb <= v <= d.ub448            elif isinstance(d, DistributionNonNegative):449                for v in d.get_batch(10000):450                    if isinstance(v, np.ndarray):451                        for vv in v:452                            assert d.lb <= vv453                    else:454                        assert d.lb <= v455            elif isinstance(d, DistributionUnbounded):456                d.get_batch(10000)457class TestTrigo:458    def _get_all(self):459        functions = [460            Sin(),461            Sinh(),462            Cos(),463            Cosh(),464            Tan(),465            Tanh()466        ]467        return functions468    def test_bounds_single(self):469        for f in self._get_all():470            if isinstance(f, BoundedGenerator):471                for _ in range(10000):472                    assert f.lb <= f.get_single() <= f.ub473            else:474                for _ in range(10000):475                    f.get_single()476    def test_bounds_batch(self):477        for f in self._get_all():478            if isinstance(f, BoundedGenerator):479                for v in f.get_batch(10000):480                    assert f.lb <= v <= f.ub481            else:482                f.get_batch(10000)483class TestCastGenerator:484    def test_types(self):485        n = Normal()486        cg = CastOperator(generator=n, dtype=np.int16)487        cg.get_single()488        assert cg.get_batch(1000).dtype == np.int16489class TestTimeDelayedGenerator:490    def test_values_single(self):491        time_delay_sec = 0.005492        tdg = TimeDelayedGenerator(generator=ConstantValueGenerator(21, dtype=np.uint16), time_delay_sec=time_delay_sec)493        start_time = datetime.datetime.now()494        for _ in range(100):495            tdg.get_single()496        end_time = datetime.datetime.now()497        elapsed_timedelta = (end_time - start_time)498        assert datetime.timedelta(seconds=.47) <= elapsed_timedelta <= datetime.timedelta(seconds=.53)499        tdg = TimeDelayedGenerator(generator=ConstantValueGenerator(21, dtype=np.uint16),500                                   time_delay_generator=ConstantValueGenerator(time_delay_sec, dtype=np.float16))501        start_time = datetime.datetime.now()502        for _ in range(100):503            tdg.get_single()504        end_time = datetime.datetime.now()505        elapsed_timedelta = (end_time - start_time)506        assert datetime.timedelta(seconds=.47) <= elapsed_timedelta <= datetime.timedelta(seconds=.53)507    def test_values_batch(self):508        time_delay_sec = 0.0005509        tdg = TimeDelayedGenerator(generator=ConstantValueGenerator(21, dtype=np.uint16), time_delay_sec=time_delay_sec)510        start_time = datetime.datetime.now()511        for _ in range(10):512            tdg.get_batch(100)513        end_time = datetime.datetime.now()514        elapsed_timedelta = (end_time - start_time)515        assert datetime.timedelta(seconds=.47) <= elapsed_timedelta <= datetime.timedelta(seconds=.53)516        tdg = TimeDelayedGenerator(generator=ConstantValueGenerator(21, dtype=np.uint16),517                                   time_delay_generator=ConstantValueGenerator(time_delay_sec, dtype=np.float16))518        start_time = datetime.datetime.now()519        for _ in range(10):520            tdg.get_batch(100)521        end_time = datetime.datetime.now()522        elapsed_timedelta = (end_time - start_time)523        assert datetime.timedelta(seconds=.47) <= elapsed_timedelta <= datetime.timedelta(seconds=.53)524class TestHistory:525    def test_values_single(self):526        gen = History(Autoincrement(), 42)527        for i in range(10):528            assert i == gen.get_single()529        for i in range(10):530            assert gen.get_prev(-10+i) == i531        for i in range(10):532            assert i + 10 == gen.get_single()533        for i in range(10):534            assert gen.get_prev(-10+i) == i + 10535    def test_values_batch(self):536        gen = History(Autoincrement(), 42)537        for i, v in enumerate(gen.get_batch(10)):538            assert i == v539        for i in range(10):540            assert gen.get_prev(-10+i) == i541class TestMeanHistory:542    def test_values_single(self):543        gen = MeanHistory(Autoincrement(start=4), 4, initial_values=[0,1,2,3])544        for i in range(42):545            assert gen.get_single() == (i * 4.0 + 6.0) / 4.0546    def test_values_batch(self):547        gen = MeanHistory(Autoincrement(start=4), 4, initial_values=[0,1,2,3])548        for i in range(42):549            for j, v in enumerate(gen.get_batch(10)):550                assert v == ((i * 10 + j) * 4.0 + 6.0) / 4.0551class TestRegex:552    def test_values_single(self):553        patterns = [r'(0|\+33|0033)[1-9][0-9]{8}']554        for pattern in patterns:555            gen = Regex(pattern)556            for i in range(42):557                assert re.fullmatch(pattern, gen.get_single()) is not None558    def test_values_batch(self):559        patterns = [r'(0|\+33|0033)[1-9][0-9]{8}']560        for pattern in patterns:561            gen = Regex(pattern)562            for i in range(42):563                for e in gen.get_batch(10):...

main.py

Source:main.py

...83    for output_file in district_output_files:84        for district_name, district in output_file[1].items():85            for title in ['show_on_uncolonized', 'potential']:86                for other_build_restriction in other_build_restrictions:87                    district[0].get_single(title).ensure(other_build_restriction)88    ###################89    # auto patch mods #90    ###################91    for i, other_mod in enumerate(mod_collection):92        print(other_mod)93        # load mod data94        try:95            mod_folder = extract_mod(workshop_folder, other_mod[0])96        except IndexError:97            print('Skipping mod with id: ' + other_mod[0])98            continue99        mod_file_names = os.listdir(mod_folder + '/common/districts')100        mod_districts = {}101        for mod_file_name in mod_file_names:102            mod_file = parse_file(mod_folder + '/common/districts/' + mod_file_name)103            if mod_file_name not in district_files_overwritten:104                for district_name in districts_overwritten:105                    if district_name in mod_file:106                        district_files_overwritten.append(mod_file_name)107                        break108            if mod_file_name in district_files_overwritten:109                for district_name, district in mod_file.items():110                    mod_districts[district_name] = district[0]111                    districts_overwritten.append(district_name)112        for mod_file_path in glob.glob(mod_folder + '/events/*'):113            mod_file = parse_file(mod_file_path)114            for events in mod_file.values():115                for event in events:116                    if type(event) is not str:117                        for effect in event.get_list('immediate'):118                            if effect.has_single('IF'):119                                effect = effect.get_single('IF')120                            if 'set_global_flag' in effect and other_mod[2] is None:121                                other_mod[2] = effect['set_global_flag'][0].replace('= ', '')122                                for other_build_restriction in other_build_restrictions:123                                    for value in other_build_restriction.get_values():124                                        if effect['set_global_flag'][0] == value:125                                            other_mod[3] = True126        shutil.rmtree(mod_folder)127        # save certain added districts128        for district_name, district in mod_districts.items():129            for output_file in district_output_files:130                if district_name in output_file[1]:131                    break132            else:133                for output_file in district_output_files:134                    if output_file[0] == 'udp_extra_districts.txt':135                        for title in ['show_on_uncolonized', 'potential']:136                            use_mod_flag(other_mod)137                            district.get_single(title).ensure({'has_global_flag': ['= ' + other_mod[2]]})138                        output_file[1].ensure({district_name: [district]})139                        break140        # disable removed districts141        for output_file in district_output_files:142            if output_file[0] in mod_file_names:143                for district_name, district in output_file[1].items():144                    if district_name not in mod_districts:145                        for title in ['show_on_uncolonized', 'potential']:146                            use_mod_flag(other_mod)147                            district[0].get_single(title).ensure({'NOT': [{'has_global_flag': ['= ' + other_mod[2]]}]})148        # merge ai behaviours for ai mods149        if i < ai_mod_count:150            for output_file in district_output_files:151                for district_name, district in output_file[1].items():152                    if district_name in mod_districts:153                        mod_district = mod_districts[district_name]154                        use_mod_flag(other_mod)155                        current_ai = district[0].get_single('ai_weight')156                        new_ai = mod_district.get_single('ai_weight')157                        combined_ai = StellarisDict({'weight': ['= 0'], 'modifier': []})158                        if current_ai.get_single('weight') != '= 0':159                            combined_ai.ensure({'modifier': [{160                                'weight': current_ai['weight'],161                                'NOT': [{'has_global_flag': ['= ' + other_mod[2]]}],162                            }]})163                        if new_ai.get_single('weight') != '= 0':164                            combined_ai.ensure({'modifier': [{165                                'weight': new_ai['weight'],166                                'has_global_flag': ['= ' + other_mod[2]],167                            }]})168                        for modifier in current_ai.get_list('modifier'):169                            mod_flag_set = False170                            for item in modifier.get_list('has_global_flag'):171                                for mod in mod_collection:172                                    if item.replace('= ', '') == mod[2]:173                                        mod_flag_set = True174                            if not mod_flag_set:175                                modifier.ensure({'NOT': [{'has_global_flag': ['= ' + other_mod[2]]}]})176                            combined_ai.ensure({'modifier': [modifier]})177                        for modifier in new_ai.get_list('modifier'):178                            modifier.ensure({'has_global_flag': ['= ' + other_mod[2]]})179                            combined_ai.ensure({'modifier': [modifier]})180                        district[0]['ai_weight'] = [combined_ai]181        # merge build restrictions182        for output_file in district_output_files:183            for district_name, district in output_file[1].items():184                if district_name in mod_districts:185                    mod_district = mod_districts[district_name]186                    for title in ['show_on_uncolonized', 'potential', 'allow']:187                        for key, values in mod_district.get_single(title).items():188                            for value in values:189                                if key == 'has_deposit' or (isinstance(value, StellarisDict) and 'has_deposit' in value.get_keys()) \190                                        or (key == 'has_planet_flag' and output_file[0] == '04_ringworld_districts.txt'):191                                    use_mod_flag(other_mod)192                                    value = {'NOT': [{'has_global_flag': ['= ' + other_mod[2]]}], key: [value]}193                                    key = 'OR'194                                merged = False195                                if key == 'OR' and set(value.keys()) == {'is_planet_class'}:196                                    if 'uncapped' in district_name:197                                        value['is_planet_class'] = [x for x in value['is_planet_class'] if x != '= pc_ringworld_habitable']198                                    for block in district[0].get_single(title).get_list(key):199                                        if set(block.keys()) == {'is_planet_class'}:200                                            block['is_planet_class'] = block['is_planet_class'] + \201                                                                       [x for x in value['is_planet_class'] if x not in block['is_planet_class']]202                                            merged = True203                                if not merged and key != 'does_spawn_housing_districts' and value not in district[0].get_single(title).get_list(key):204                                    district[0].get_single(title).ensure({key: [value]})205        # merge triggered modifiers and descriptions206        for output_file in district_output_files:207            for district_name, district in output_file[1].items():208                if district_name in mod_districts:209                    mod_district = mod_districts[district_name]210                    for key in ['triggered_planet_modifier', 'triggered_desc', 'ai_resource_production']:211                        trigger_key = 'potential' if key == 'triggered_planet_modifier' else 'trigger'212                        for value in mod_district.get_list(key):213                            if value not in [item.copy_without('vanilla') for item in district[0].get_list(key)]:214                                must_add_flag = trigger_key not in value or \215                                                value.get_single(trigger_key) in [item.get_single(trigger_key) for item in district[0].get_list(key)]216                                if not must_add_flag and \217                                        set(value.get_single(trigger_key).keys()) == {'exists', 'owner'} and \218                                        value.get_single(trigger_key).get_single('exists') == '= owner' and \219                                        len(value.get_single(trigger_key).get_list('owner')) == 1 and \220                                        set(value.get_single(trigger_key).get_single('owner').keys()).issubset({221                                            'is_regular_empire',222                                            'is_gestalt',223                                            'is_machine_empire',224                                            'is_hive_empire',225                                            'is_fallen_empire',226                                            'is_fallen_empire_spiritualist',227                                            'is_mechanical_empire',228                                        }):229                                    must_add_flag = True230                                if must_add_flag:231                                    if trigger_key not in value:232                                        value.ensure({trigger_key: [{}]})233                                    use_mod_flag(other_mod)234                                    value.get_single(trigger_key).ensure({'has_global_flag': ['= ' + other_mod[2]]})235                                district[0].ensure({key: [value]})236                        for old_modifier in district[0].get_list(key):237                            if 'vanilla' in old_modifier:238                                for new_modifier in mod_district.get_list(key):239                                    if old_modifier.copy_without(trigger_key).copy_without('vanilla') == new_modifier.copy_without(trigger_key) and \240                                            new_modifier.get_single(trigger_key).get_single('owner').get_single('AND').has_single('NOT') and \241                                            old_modifier.get_single(trigger_key).get_single('owner') == \242                                            new_modifier.get_single(trigger_key).get_single('owner').get_single('AND').copy_without('NOT'):243                                        old_modifier.get_single('vanilla').ensure({'delete': []})244                                        break245                                else:246                                    if old_modifier.copy_without('vanilla') not in mod_district.get_list(key):247                                        use_mod_flag(other_mod)248                                        old_modifier.get_single('vanilla').get_single('NOR').ensure({'has_global_flag': ['= ' + other_mod[2]]})249        # merge normal modifiers250        for output_file in district_output_files:251            for district_name, district in output_file[1].items():252                if district_name in mod_districts:253                    mod_district = mod_districts[district_name]254                    merge_modifier = True255                    if 'planet_modifier' in district[0]:256                        if (mod_district.get_single('planet_modifier') == district[0].get_single('planet_modifier')) or \257                                (district_name == 'district_nexus' and mod_district.get_single('planet_modifier') == {'planet_housing_add': ['= 5']}):258                            merge_modifier = False259                        else:260                            district[0].ensure({'triggered_planet_modifier': [{261                                'default': [{'NOR': [{}]}],262                                'modifier': [district[0].get_single('planet_modifier')],263                            }]})264                            del district[0]['planet_modifier']265                    else:266                        for modifier in district[0].get_list('triggered_planet_modifier'):267                            if 'default' in modifier:268                                if (mod_district.get_single('planet_modifier') == modifier.get_single('modifier')) or \269                                        (district_name == 'district_nexus' and mod_district.get_single('planet_modifier') == {'planet_housing_add': ['= 5']}):270                                    merge_modifier = False271                                break272                        else:273                            merge_modifier = False274                    if merge_modifier:275                        if 'planet_modifier' in mod_district:276                            use_mod_flag(other_mod)277                            district[0].ensure({'triggered_planet_modifier': [{278                                'potential': [{'has_global_flag': ['= ' + other_mod[2]]}],279                                'modifier': [mod_district.get_single('planet_modifier')],280                            }]})281                        for modifier in district[0].get_list('triggered_planet_modifier'):282                            if 'default' in modifier:283                                use_mod_flag(other_mod)284                                modifier.get_single('default').get_single('NOR').ensure({'has_global_flag': ['= ' + other_mod[2]]})285                                break286        # merge resources287        for output_file in district_output_files:288            for district_name, district in output_file[1].items():289                if district_name in mod_districts:290                    mod_district = mod_districts[district_name]291                    for title in ['cost', 'upkeep', 'produces']:292                        for value in mod_district.get_single('resources').get_list(title):293                            if value not in district[0].get_single('resources').get_list(title):294                                if 'trigger' not in value:295                                    use_mod_flag(other_mod)296                                    value.ensure({'trigger': [{'has_global_flag': ['= ' + other_mod[2]]}]})297                                elif value.get_single('trigger').get_single('owner').has_single('NOT'):298                                    district[0].get_single('resources').get_list(title).remove(value.copy_without('trigger'))299                                district[0].get_single('resources').ensure({title: [value]})300        # merge district conversions301        for output_file in district_output_files:302            for district_name, district in output_file[1].items():303                if district_name in mod_districts:304                    mod_district = mod_districts[district_name]305                    for value in mod_district.get_single('convert_to'):306                        if value != district_name and value not in district[0].get_single('convert_to'):307                            district[0].get_single('convert_to').ensure({value: []})308    ################################309    # fix OR in build restrictions #310    ################################311    for output_file in district_output_files:312        for district_name, district in output_file[1].items():313            for title in ['show_on_uncolonized', 'potential', 'allow']:314                for block in district[0].get_single(title).get_list('OR'):315                    for key, values in block.items():316                        for value in values:317                            if value in district[0].get_single(title).get_list(key):318                                district[0].get_single(title).get_list(key).remove(value)319                                if len(district[0].get_single(title).get_list(key)) == 0:320                                    del district[0].get_single(title)[key]321    ###########################322    # convert temporary flags #323    ###########################324    for output_file in district_output_files:325        for district_name, district in output_file[1].items():326            for key in ['triggered_planet_modifier', 'triggered_desc', 'ai_resource_production']:327                trigger_key = 'potential' if key == 'triggered_planet_modifier' else 'trigger'328                i = 0329                while i < len(district[0].get_list(key)):330                    modifier = district[0].get_list(key)[i]331                    for flag in ['default', 'vanilla']:332                        if flag in modifier:333                            if 'delete' in modifier.get_single(flag):334                                district[0].get_list(key).remove(modifier)335                                i -= 1336                                break337                            if len(modifier.get_single(flag).get_single('NOR').keys()) > 0:338                                if trigger_key not in modifier:339                                    modifier.ensure({trigger_key: [{}]})340                                modifier.get_single(trigger_key).ensure(modifier.get_single(flag))341                            del modifier[flag]342                    i += 1343    #############################344    # uncap district generation #345    #############################346    for output_file in district_output_files:347        for district_name in output_file[1]:348            if 'min_for_deposits_on_planet' in output_file[1].get_single(district_name):349                output_file[1][district_name][0]['min_for_deposits_on_planet'] = ['= 0']350            if 'max_for_deposits_on_planet' in output_file[1].get_single(district_name):351                output_file[1][district_name][0]['max_for_deposits_on_planet'] = ['= 999']352    #########################353    # save all output files #354    #########################355    shutil.rmtree('../Mod', True)356    os.makedirs('../Mod/!!!!Universal Districts Patch/common/districts')357    for output_file in district_output_files:358        write_data(output_file[1], '../Mod/!!!!Universal Districts Patch/common/districts/' + output_file[0])359        district_files_overwritten.remove(output_file[0])360    for file_overwritten in district_files_overwritten:361        open('../Mod/!!!!Universal Districts Patch/common/districts/' + file_overwritten, 'w').close()362    shutil.rmtree(mods_folder + '/!!!!Universal Districts Patch', True)363    shutil.rmtree(mods_folder + '/!!!!Universal Districts Patch.mod', True)364    for folder in ['../Mod', '../Skeleton']:...

socrata.py

Source:socrata.py

...18                                          db='metadata',  # æ°æ®åºå19                                          )20        self.cur = self.connection.cursor()21    @staticmethod22    def get_single(dic, key):23        return dic.get(key, None)24    @staticmethod25    def get_array(dic, key):26        l1 = dic.get(key, [])27        s1 = ';'.join([str(x) for x in l1])28        if len(s1):  # s1!=''29            return s130        else:31            return None32    @staticmethod33    def get_json_dic(params):34        headers = {35            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36'}36        proxies = {"http": None, "https": None}37        try:38            r = requests.get(SOCRATA_API_URL, timeout=1000, verify=False, params=params, headers=headers)39            # print(r.url)40        except Exception as e:41            print(e)42            return None43        else:44            return r.json()45    @staticmethod46    def get_results(json_dic):47        return json_dic.get('results', None)48    def save_metadata(self, json_dic):49        results = self.get_results(json_dic)50        if results is None or len(results) == 0:51            print('results is None or len(results)==0')52            return True53        sql = 'INSERT IGNORE INTO `{}`(`name`, `id`, `parent_fxf`, `description`, `attribution`, `attribution_link`, ' \54              '`contact_email`, `type`, `updatedAt`, `createdAt`, `metadata_updated_at`, `data_updated_at`, ' \55              '`page_views_last_week`, `page_views_last_month`, `page_views_total`, `page_views_last_week_log`, ' \56              '`page_views_last_month_log`, `page_views_total_log`, `columns_name`, `columns_field_name`, ' \57              '`columns_datatype`, `columns_description`, `columns_format`, `download_count`, `provenance`, ' \58              '`lens_view_type`, `blob_mime_type`, `hide_from_data_json`, `publication_date`, `categories`, `tags`, ' \59              '`domain_tags`, `domain_metadata`, `domain`, `license`, `permalink`, `link`, `owner_id`, `user_type`, ' \60              '`display_name`, `data_source`) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,' \61              ' %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);' \62            .format(self.domain)63        values = []64        for result in results:65            resource = self.get_resource(result)66            classification = self.get_classification(result)67            metadata = self.get_metadata(result)68            permalink = self.get_single(result, 'permalink')69            link = self.get_single(result, 'link')70            owner = self.get_owner(result)71            value = resource + classification + metadata + [permalink] + [link] + owner + [self.url]72            values.append(tuple(value))73        try:74            # æ§è¡sqlè¯å¥75            rows = self.cur.executemany(sql, values)76            # æäº¤å°æ°æ®åºæ§è¡77            self.connection.commit()78            print('insert {} rows'.format(rows))79            return True80        except Exception as e:81            # å¦æåçéè¯¯ååæ»82            print(e)83            self.connection.rollback()84            return False85    def get_resource(self, result_dic):86        dic = result_dic.get('resource', {})87        ret = []88        ret.append(self.get_single(dic, 'name'))89        ret.append(self.get_single(dic, 'id'))90        ret.append(self.get_array(dic, 'parent_fxf'))91        ret.append(self.get_single(dic, 'description'))92        ret.append(self.get_single(dic, 'attribution'))93        ret.append(self.get_single(dic, 'attribution_link'))94        ret.append(self.get_single(dic, 'contact_email'))95        ret.append(self.get_single(dic, 'type'))96        ret.append(self.get_single(dic, 'updatedAt'))97        ret.append(self.get_single(dic, 'createdAt'))98        ret.append(self.get_single(dic, 'metadata_updated_at'))99        ret.append(self.get_single(dic, 'data_updated_at'))100        page_views_dic = dic.get('page_views', {})101        ret.append(self.get_single(page_views_dic, 'page_views_last_week'))102        ret.append(self.get_single(page_views_dic, 'page_views_last_month'))103        ret.append(self.get_single(page_views_dic, 'page_views_total'))104        ret.append(self.get_single(page_views_dic, 'page_views_last_week_log'))105        ret.append(self.get_single(page_views_dic, 'page_views_last_month_log'))106        ret.append(self.get_single(page_views_dic, 'page_views_total_log'))107        ret.append(self.get_array(dic, 'columns_name'))108        ret.append(self.get_array(dic, 'columns_field_name'))109        ret.append(self.get_array(dic, 'columns_datatype'))110        ret.append(self.get_array(dic, 'columns_description'))111        ret.append(self.get_array(dic, 'columns_format'))112        ret.append(self.get_single(dic, 'download_count'))113        ret.append(self.get_single(dic, 'provenance'))114        ret.append(self.get_single(dic, 'lens_view_type'))115        ret.append(self.get_single(dic, 'blob_mime_type'))116        ret.append(self.get_single(dic, 'hide_from_data_json'))117        ret.append(self.get_single(dic, 'publication_date'))118        return ret119    def get_classification(self, result_dic):120        dic = result_dic.get('classification', {})121        ret = []122        ret.append(self.get_array(dic, 'categories'))123        ret.append(self.get_array(dic, 'tags'))124        ret.append(self.get_array(dic, 'domain_tags'))125        ret.append(self.get_array(dic, 'domain_metadata'))126        return ret127    def get_metadata(self, result_dic):128        dic = result_dic.get('metadata', {})129        ret = []130        ret.append(self.get_single(dic, 'domain'))131        ret.append(self.get_single(dic, 'license'))132        return ret133    def get_owner(self, result_dic):134        dic = result_dic.get('owner', {})135        ret = []136        ret.append(self.get_single(dic, 'id'))137        ret.append(self.get_single(dic, 'user_type'))138        ret.append(self.get_single(dic, 'display_name'))139        return ret140    def get_scroll_id(self, json_dic):141        results = self.get_results(json_dic)142        if len(results) == 0:143            return 0144        last_result = results[-1]145        last_resource = last_result.get('resource', {})146        return last_resource.get('id', None)147    def create_table(self):148        sql = 'CREATE TABLE IF NOT EXISTS `{}`'.format(self.domain)149        with open(TABLE_SQL_PATH, 'r', encoding='utf-8') as f:150            sql = sql + f.read()151        try:152            self.cur.execute(sql)...

test_rolling.py

Source:test_rolling.py

...48    return gen_data(*request.param)49@pytest.fixture(scope="module", params=weighted_params, ids=weighted_ids)50def weighted_data(request):51    return gen_data(*request.param)52def get_single(x, idx):53    if isinstance(x, (pd.Series, pd.DataFrame)):54        return x.iloc[idx]55    return x[idx]56def get_sub(x, idx, window):57    if isinstance(x, (pd.Series, pd.DataFrame)):58        out = x.iloc[idx - window : idx]59        return np.asarray(out)60    return x[idx - window : idx]61def test_has_nan(data):62    y, x, w = data63    mod = RollingWLS(y, x, window=100, weights=w)64    has_nan = np.zeros(y.shape[0], dtype=bool)65    for i in range(100, y.shape[0] + 1):66        _y = get_sub(y, i, 100)67        _x = get_sub(x, i, 100)68        has_nan[i - 1] = np.squeeze(69            (np.any(np.isnan(_y)) or np.any(np.isnan(_x)))70        )71    assert_array_equal(mod._has_nan, has_nan)72def test_weighted_against_wls(weighted_data):73    y, x, w = weighted_data74    mod = RollingWLS(y, x, weights=w, window=100)75    res = mod.fit(use_t=True)76    for i in range(100, y.shape[0]):77        _y = get_sub(y, i, 100)78        _x = get_sub(x, i, 100)79        if w is not None:80            _w = get_sub(w, i, 100)81        else:82            _w = np.ones_like(_y)83        wls = WLS(_y, _x, weights=_w, missing="drop").fit()84        rolling_params = get_single(res.params, i - 1)85        rolling_nobs = get_single(res.nobs, i - 1)86        assert_allclose(rolling_params, wls.params)87        assert_allclose(rolling_nobs, wls.nobs)88        assert_allclose(get_single(res.ssr, i - 1), wls.ssr)89        assert_allclose(get_single(res.llf, i - 1), wls.llf)90        assert_allclose(get_single(res.aic, i - 1), wls.aic)91        assert_allclose(get_single(res.bic, i - 1), wls.bic)92        assert_allclose(get_single(res.centered_tss, i - 1), wls.centered_tss)93        assert_allclose(res.df_model, wls.df_model)94        assert_allclose(get_single(res.df_resid, i - 1), wls.df_resid)95        assert_allclose(get_single(res.ess, i - 1), wls.ess, atol=1e-8)96        assert_allclose(res.k_constant, wls.k_constant)97        assert_allclose(get_single(res.mse_model, i - 1), wls.mse_model)98        assert_allclose(get_single(res.mse_resid, i - 1), wls.mse_resid)99        assert_allclose(get_single(res.mse_total, i - 1), wls.mse_total)100        assert_allclose(101            get_single(res.rsquared, i - 1), wls.rsquared, atol=1e-8102        )103        assert_allclose(104            get_single(res.rsquared_adj, i - 1), wls.rsquared_adj, atol=1e-8105        )106        assert_allclose(107            get_single(res.uncentered_tss, i - 1), wls.uncentered_tss108        )109@pytest.mark.parametrize("cov_type", ["nonrobust", "HC0"])110@pytest.mark.parametrize("use_t", [None, True, False])111def test_against_wls_inference(data, use_t, cov_type):112    y, x, w = data113    mod = RollingWLS(y, x, window=100, weights=w)114    res = mod.fit(use_t=use_t, cov_type=cov_type)115    ci_cols = ci = res.conf_int()116    test_cols = x.shape[1] > 3117    # This is a smoke test of cov_params to make sure it works118    res.cov_params()119    if test_cols:120        ci_cols = res.conf_int(cols=[0, 2])121    # Skip to improve performance122    for i in range(100, y.shape[0]):123        _y = get_sub(y, i, 100)124        _x = get_sub(x, i, 100)125        wls = WLS(_y, _x, missing="drop").fit(use_t=use_t, cov_type=cov_type)126        assert_allclose(get_single(res.tvalues, i - 1), wls.tvalues)127        assert_allclose(get_single(res.bse, i - 1), wls.bse)128        assert_allclose(get_single(res.pvalues, i - 1), wls.pvalues, atol=1e-8)129        assert_allclose(get_single(res.fvalue, i - 1), wls.fvalue)130        with np.errstate(invalid="ignore"):131            assert_allclose(132                get_single(res.f_pvalue, i - 1), wls.f_pvalue, atol=1e-8133            )134        assert res.cov_type == wls.cov_type135        assert res.use_t == wls.use_t136        wls_ci = wls.conf_int()137        if isinstance(ci, pd.DataFrame):138            ci_val = ci.iloc[i - 1]139            ci_val = np.asarray(ci_val).reshape((-1, 2))140        else:141            ci_val = ci[i - 1].T142        assert_allclose(ci_val, wls_ci)143        if test_cols:144            wls_ci = wls.conf_int(cols=[0, 2])145            if isinstance(ci_cols, pd.DataFrame):146                ci_val = ci_cols.iloc[i - 1]...

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