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How to use _get_matchers method in Slash

Best Python code snippet using slash

config.py

Source:config.py

...81            serializer = self.serializers[serializer_name]82        except KeyError:83            raise KeyError("Serializer {} doesn't exist or isn't registered".format(serializer_name))84        return serializer85    def _get_matchers(self, matcher_names):86        matchers = []87        try:88            for m in matcher_names:89                matchers.append(self.matchers[m])90        except KeyError:91            raise KeyError("Matcher {} doesn't exist or isn't registered".format(m))92        return matchers93    def use_cassette(self, path=None, **kwargs):94        if path is not None and not isinstance(path, six.string_types):95            function = path96            # Assume this is an attempt to decorate a function97            return self._use_cassette(**kwargs)(function)98        return self._use_cassette(path=path, **kwargs)99    def _use_cassette(self, with_current_defaults=False, **kwargs):100        if with_current_defaults:101            config = self.get_merged_config(**kwargs)102            return Cassette.use(**config)103        # This is made a function that evaluates every time a cassette104        # is made so that changes that are made to this VCR instance105        # that occur AFTER the `use_cassette` decorator is applied106        # still affect subsequent calls to the decorated function.107        args_getter = functools.partial(self.get_merged_config, **kwargs)108        return Cassette.use_arg_getter(args_getter)109    def get_merged_config(self, **kwargs):110        serializer_name = kwargs.get("serializer", self.serializer)111        matcher_names = kwargs.get("match_on", self.match_on)112        path_transformer = kwargs.get("path_transformer", self.path_transformer)113        func_path_generator = kwargs.get("func_path_generator", self.func_path_generator)114        cassette_library_dir = kwargs.get("cassette_library_dir", self.cassette_library_dir)115        additional_matchers = kwargs.get("additional_matchers", ())116        if cassette_library_dir:117            def add_cassette_library_dir(path):118                if not path.startswith(cassette_library_dir):119                    return os.path.join(cassette_library_dir, path)120                return path121            path_transformer = compose(add_cassette_library_dir, path_transformer)122        elif not func_path_generator:123            # If we don't have a library dir, use the functions124            # location to build a full path for cassettes.125            func_path_generator = self._build_path_from_func_using_module126        merged_config = {127            "serializer": self._get_serializer(serializer_name),128            "persister": self.persister,129            "match_on": self._get_matchers(tuple(matcher_names) + tuple(additional_matchers)),130            "record_mode": kwargs.get("record_mode", self.record_mode),131            "before_record_request": self._build_before_record_request(kwargs),132            "before_record_response": self._build_before_record_response(kwargs),133            "custom_patches": self._custom_patches + kwargs.get("custom_patches", ()),134            "inject": kwargs.get("inject_cassette", self.inject_cassette),135            "path_transformer": path_transformer,136            "func_path_generator": func_path_generator,137        }138        path = kwargs.get("path")139        if path:140            merged_config["path"] = path141        return merged_config142    def _build_before_record_response(self, options):143        before_record_response = options.get("before_record_response", self.before_record_response)...

mysql.py

Source:mysql.py

...24    return con25Entity = Union[dict, Model, dataclasses.dataclass]26Matcher = Tuple[str, Any]27Matchers = Union[List[Matcher], Matcher]28def _get_matchers(matchers: Union[Matchers, int]) -> Tuple[List[Matcher], str]:29    if isinstance(matchers, int):30        matchers = [("id", matchers)]31    elif isinstance(matchers[0], str):32        matchers = [matchers]33    return matchers, " AND ".join([f"{key}='{value}'" for key, value in matchers])34class _Table:35    _table_name: str36    _cur: MySQLCursor37    def __init__(self, cur, table_name: str):38        self._cur = cur39        self._table_name = table_name40    def find_by(self, matchers: Union[Matchers, int]) -> MySQLCursor:41        matchers, where_clause = _get_matchers(matchers)42        self._cur.execute(f"SELECT * FROM `{self._table_name}` WHERE {where_clause}")43        return self._cur44    def insert(self, dc: dataclasses.dataclass, keys: Optional[List[str]] = None,45               exclude_keys: Optional[List[str]] = None, replace: bool = False) -> int:46        if replace and self.find_by(meta.get_pk(dc)).rowcount > 0:  # TODO: better written as sql47            self.delete(meta.get_pk(dc))48        data = serialize(dc).for_sql_insert()49        if keys is None:50            keys = list(data.keys())51        elif isinstance(keys, dict):52            keys = list(keys.keys())53        if exclude_keys is not None:54            for ex in exclude_keys:55                keys.remove(ex)56        values = [data[key] if key in data else None for key in keys]57        placeholder = ", ".join(["%s"] * len(keys))58        table_name = self._table_name59        qry = "INSERT INTO {table_name} ({columns}) VALUES ({values})" \60            .format(table_name=table_name, columns=",".join(keys), values=placeholder)61        logging.debug(qry)62        self._cur.execute(qry, values)63        return self._cur.lastrowid64    def update(self, dc: dataclasses.dataclass, keys: Optional[List[str]] = None,65               matchers: Optional[Matchers] = None):66        def update_value(name: str) -> str:67            return '{name}=%s'.format(name=name)68        data: dict = serialize(dc).for_sql_update()69        if keys is None:70            keys = list(data.keys())71        if isinstance(keys, dict):72            keys = list(keys.keys())73        if matchers is None:74            matchers = [meta.get_pk(dc)]75            # del data[matchers[0][0]]76        matchers, where_clause = _get_matchers(matchers)77        table_name = self._table_name78        values = [data[key] for key in keys]79        update_values = map(update_value, keys)80        qry = "UPDATE {table_name} SET {update_values} WHERE {where_clause}" \81            .format(table_name=table_name, update_values=",".join(update_values), where_clause=where_clause)82        logging.debug(qry)83        return self._cur.execute(qry, values)84    def delete(self, matchers: Union[Matchers, int]):85        if isinstance(matchers, int):86            where_clause = f"id={matchers}"87        elif isinstance(matchers[0], list):88            where_clause = " AND ".join([f"{key}='{value}'" for [key, value] in matchers])89        else:90            key, value = matchers...

test_similarity.py

Source:test_similarity.py

...21        num_queries = 822        num_spec_peaks = 623        num_query_peaks = 4824        # Get spectra:25        for matcher_cls in _get_matchers():26            specs = _get_spectra(num_spectra, num_spec_peaks)27            queries = _get_spectra(num_queries, num_query_peaks)28            matcher = matcher_cls(specs)29            result = matcher.search(queries)30            self.assertEqual(result.shape, (num_queries, num_spectra))31    def test_search_equal(self):32        '''Test search method of SpectraMatcher class.'''33        for matcher_cls in _get_matchers():34            specs = np.array([[[1, 0.2], [10, 0.3]]])35            queries = np.copy(specs)36            matcher = matcher_cls(specs)37            result = matcher.search(queries)38            self.assertAlmostEqual(result[0][0], 0, 12)39    def test_search_distant(self):40        '''Test search method of SpectraMatcher class.'''41        for matcher_cls in _get_matchers():42            specs = np.array([[[800.0, 0.2]]])43            queries = np.array([[[1e-16, 1e-16], [8000.0, 0.2]]])44            matcher = matcher_cls(specs)45            result = matcher.search(queries)46            self.assertAlmostEqual(result[0][0], 1, 12)47    def test_search_real(self):48        '''Test search method of SpectraMatcher class.'''49        # Get spectra:50        filename = os.path.join(*[Path(__file__).parents[3],51                                  'data/'52                                  'MoNA-export-LC-MS-MS_Positive_Mode.json'])53        # Oxolinic acid, Flumequine false positive:54        df = mona.get_spectra(filename, 100).loc[[59, 51]]55        specs = get_spectra(df)56        scores = []57        for matcher_cls in _get_matchers():58            spec = specs[0].copy()59            query = specs[1].copy()60            matcher = matcher_cls([spec])61            result = matcher.search([query])62            scores.append(result[0][0])63        np.testing.assert_allclose(64            scores,65            [0.019920, 0.009988, 0.126344, 0.063200, 1.0, 1.0,66             0.092896, 0.763453, 0.063200],67            atol=0.01)68def _get_spectra(num_spectra, num_peaks):69    '''Get spectra, sorted by mass.'''70    spec = np.random.rand(num_spectra, num_peaks, 2)71    return np.sort(spec, axis=1)72def _get_matchers():73    '''Get matchers.'''74    return [partial(similarity.SimpleSpectraMatcher,75                    mass_acc=float('inf'), scorer=np.max),76            partial(similarity.SimpleSpectraMatcher,77                    mass_acc=float('inf'), scorer=np.average),78            partial(similarity.SimpleSpectraMatcher,79                    mass_acc=0.1, scorer=np.max),80            partial(similarity.SimpleSpectraMatcher,81                    mass_acc=0.1, scorer=np.average),82            partial(similarity.SimpleSpectraMatcher,83                    mass_acc=0.01, scorer=np.max),84            partial(similarity.SimpleSpectraMatcher,85                    mass_acc=0.01, scorer=np.average),86            similarity.BinnedSpectraMatcher,...

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