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How to use _check_threshold method in lisa

Best Python code snippet using lisa_python

slow.py

Source:slow.py

...65    results = tanimoto_search(queries, targets, threshold)66    for i, (id, hits) in enumerate(results):67        results[i] = (id, heapq.nlargest(k, hits, key = operator.itemgetter(1)))68    return results69def _check_threshold(threshold):70    if not (0.0 <= threshold <= 1.0):71        raise ValueError("threshold must between 0.0 and 1.0, inclusive")72class SlowFingerprints(Fingerprints):73    def count_tanimoto_hits_fp(self, query_fp, threshold=0.7):74        if not (0.0 <= threshold <= 1.0):75            raise ValueError("threshold must between 0.0 and 1.0, inclusive")76        return count_tanimoto_hits_fp(query_fp, self._id_fp_pairs, threshold)77    def id_count_tanimoto_hits(self, queries, threshold=0.7, batch_size=100):78        _check_threshold(threshold)79        for query_arena in queries.iter_arenas(batch_size):80            for result in count_tanimoto_hits(query_arena, self._id_fp_pairs, threshold):81                yield result82    def id_threshold_tanimoto_search_fp(self, fp, threshold=0.7):83        _check_threshold(threshold)84        return threshold_tanimoto_search_fp(fp, self._id_fp_pairs, threshold)85    def id_threshold_tanimoto_search(self, queries, threshold=0.7, batch_size=100):86        _check_threshold(threshold)87        for query_arena in queries.iter_arenas(batch_size):88            for result in threshold_tanimoto_search(query_arena, self._id_fp_pairs,89                                                    threshold):                                                    90                yield result91    def id_knearest_tanimoto_search_fp(self, fp, k=3, threshold=0.7):92        if k < 0:93            raise ValueError("k must be non-negative")94        _check_threshold(threshold)95        return knearest_tanimoto_search_fp(fp, self._id_fp_pairs, k, threshold)96    def id_knearest_tanimoto_search(self, queries, k=3, threshold=0.7, batch_size=100):97        if k < 0:98            raise ValueError("k must be non-negative")99        _check_threshold(threshold)100        101        for query_arena in queries.iter_arenas(batch_size):102            for result in knearest_tanimoto_search(query_arena, self._id_fp_pairs,103                                                   k, threshold):...

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