How to use lazy_calculate method in hypothesis

Best Python code snippet using hypothesis

data.py

Source:data.py

...208    This has the slightly weird result that we are defining nested209    classes which get turned into properties."""210    name = cls.__name__211    cache_name = "__" + name212    def lazy_calculate(self):213        result = getattr(self, cache_name, None)214        if result is None:215            result = cls(self).run()216            setattr(self, cache_name, result)217        return result218    lazy_calculate.__name__ = cls.__name__219    lazy_calculate.__qualname__ = getattr(cls, "__qualname__", cls.__name__)220    return property(lazy_calculate)221DRAW_BITS_RECORD = 0222STOP_EXAMPLE_DISCARD_RECORD = 1223STOP_EXAMPLE_NO_DISCARD_RECORD = 2224START_EXAMPLE_RECORD = 3225class ExampleRecord:226    """Records the series of ``start_example``, ``stop_example``, and...

data_handler.py

Source:data_handler.py

...23        self.num_seqs = len(self.seqs)24        # GET WEIGHTS FOR SEQUENCES25        seq_log_path = make_path('seq_weights.pkl')26        logging.info("CALCULATING SEQ WEIGHTS")27        self.seq_weights = tools.lazy_calculate(self.calc_seq_weights, seq_log_path)28        # GET CLUSTERS FOR SEQUENCES29        cluster_path = make_path('clusters_{}.pkl'.format(tools.n_clusters))30        self.seq_clusters = tools.lazy_calculate(self.cluster_seqs, cluster_path)31        # SELECT TEST AND TRAIN SET32        test_id_path = make_path(os.path.join(run_time, 'test_ids.pkl'))33        self.test_idx = tools.lazy_calculate(self.choose_test_set, test_id_path)34        self.train_idx = list(set(np.arange(self.num_seqs)) - set(self.test_idx))35        self.test_size = len(self.test_idx)36        self.train_size = len(self.train_idx)37        # DICTIONARIES TO KEEP TRACK OF WHICH INDICES HAVE BEEN USED IN A GIVEN EPOCH38        self.unused_test_idx = dict(zip(self.test_idx, self.seq_weights[self.test_idx]))39        self.unused_train_idx = dict(zip(self.train_idx, self.seq_weights[self.train_idx]))40        # Remove gaps41        if not use_full_seqs:42            self.seqs = tools.remove_gaps(self.seqs)43            # Re-adjust the max sequence length44            self.max_seq_len = max(len(seq) for seq in self.seqs.values())45        # GET DIST OF FIRST ELEMENT OF SEQS (for generation purposes)46        seed_weight_path = make_path('seed_weights.pkl')47        self.seed_weights = self.calc_seed_weights()...

tools.py

Source:tools.py

...20# HYPER PARAMETERS21similarity_cutoff = 0.222n_clusters = 5023# HELPER FUNCTIONS24def lazy_calculate(function, path):25    if os.path.exists(path):26        with open(path) as f:27            return pickle.load(f)28    else:29        data = function()30        with open(path, 'w') as f:31            pickle.dump(data, f)32        return data33    return wrapper34def get_alignment_filename(gene):35    for filename in os.listdir('alignments'):36        if filename.startswith(gene):37            return filename38def get_results_filename(gene):...

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