Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use get_embedding_id method in autotest

Best Python code snippet using autotest_python

get_data.py

Source:get_data.py

...34		# Validation/testing data35		for container, indices in [ (val_data, val_indices), (test_data, test_indices) ]:36			for m, sampling_percent in indices:37				for sampling in all_samplers:38					container[0].append(get_embedding_id(task, 'complete_data', 0))39					container[1].append(get_embedding_id(task, sampling, sampling_percent))40					container[2].append(task_map[task])41					container[3].append(metric_map[m])42					container[4].append(43						count_performance_retained(results[task][m][sampling_percent][sampling], m, scaled = False)44					)45		# Training data46		for m, sampling_percent in train_indices:47			y = [ count_performance_retained(48				results[task][m][sampling_percent][sampling], m, scaled = False49			) for sampling in all_samplers ]50			# Pointwise51			for at, sampling in enumerate(all_samplers):52				if y[at] in [ INF, -INF ]: continue53				train_data_pointwise[0].append(get_embedding_id(task, 'complete_data', 0))54				train_data_pointwise[1].append(get_embedding_id(task, sampling, sampling_percent))55				train_data_pointwise[2].append(task_map[task])56				train_data_pointwise[3].append(metric_map[m])57				train_data_pointwise[4].append(y[at])58			# Pairwise59			for i in range(len(all_samplers)):60				for j in range(i+1, len(all_samplers)):61					if y[i] in [ INF, -INF ]: continue62					if y[j] in [ INF, -INF ]: continue63					if y[i] == y[j]: continue64					if y[i] > y[j]: better, lower = i, j65					else: better, lower = j, i66					train_data_pairwise[0].append(get_embedding_id(task, 'complete_data', 0))67					train_data_pairwise[1].append(get_embedding_id(task, all_samplers[better], sampling_percent))68					train_data_pairwise[2].append(get_embedding_id(task, all_samplers[lower], sampling_percent))69					train_data_pairwise[3].append(task_map[task])70					train_data_pairwise[4].append(metric_map[m])71	save_obj([ train_data_pointwise, val_data, test_data ], TRAINING_DATA_PATH(dataset, "pointwise"))72	save_obj([ train_data_pairwise, val_data, test_data ], TRAINING_DATA_PATH(dataset, "pairwise"))73def get_results(dataset):74	PATH = CACHED_KENDALL_TAU_PATH(dataset)75	if os.path.exists(PATH + ".pkl"): return load_obj(PATH)76	loop = tqdm(77		total = len(scenarios) * ((len(svp_methods) * len(sampling_svp)) + len(sampling_kinds)) * \78		len(methods_to_compare) * len(percent_rns_options)79	)80	y = {}81	for task, metrics_to_return in scenarios:82		...

postgresql.py

Source:postgresql.py

...22            return row['id']23        except psycopg2.errors.UniqueViolation:24            self.get_connection().rollback()25            # We anyway will return the ID of already saved embedding26            return self.get_embedding_id(recognizer, digest)27        finally:28            cur.close()29    def get_embeddings(self, recognizer) -> List[PersonEmbedding]:30        cur = self.get_connection().cursor()31        sql = "SELECT id, person, embedding, tags FROM embeddings WHERE recognizer = %s"32        cur.execute(sql, (recognizer,))33        return [PersonEmbedding(r['id'], r['person'], np.array(r['embedding']), r['tags']) for r in cur.fetchall()]34    def get_embedding(self, embedding_id: str) -> dict:35        cur = self.get_connection().cursor()36        sql = "SELECT * FROM embeddings WHERE id = %s"37        cur.execute(sql, (embedding_id,))38        return cur.fetchone()39    def get_embedding_id(self, recognizer, digest) -> Optional[str]:40        cur = self.get_connection().cursor()41        cur.execute(42            "SELECT id FROM embeddings WHERE recognizer = %s AND digest = %s", (recognizer, digest),43        )44        row = cur.fetchone()45        return str(row['id']) if row else None46    def get_connection(self) -> psycopg2.extensions.connection:47        if self.conn is None:48            self.conn = self.connect()49        return self.conn50    def connect(self) -> psycopg2.extensions.connection:...

test_embeddings.py

Source:test_embeddings.py

...5        db = EmbeddingsDatabase(data_dir=_data_dir)6        embedding_name: str = 'r-16'7        embedding_id: int = db.add_embedding(embedding_name)8        assert embedding_id in list(db.list_ready_embedding_ids())9        assert embedding_id == db.get_embedding_id(embedding_name)10        new_embedding_id: int = db.push_new_embedding_version(embedding_name)11        assert new_embedding_id != embedding_id12        assert new_embedding_id in list(db.list_ready_embedding_ids())13        assert embedding_id not in list(db.list_ready_embedding_ids())14        assert new_embedding_id == db.get_embedding_id(embedding_name)15        assert isinstance(db.get_embedding(new_embedding_id), Embedding)16        other_embedding_id: int = db.get_embedding_id('r-32')17        url = 'data:,This is a test sentence'18        emb_vectors = list(db.get_url_vectors(url=url))19        assert len(emb_vectors) == 220        assert all(embedding_id in [new_embedding_id, other_embedding_id] for embedding_id, v in emb_vectors)21        db.print_embeddings()22        del db23        # Let's reconnect.24        db = EmbeddingsDatabase(data_dir=_data_dir)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.