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How to use test_table_encoder method in autotest

Best Python code snippet using autotest_python

train_pairwise.py

Source:train_pairwise.py

...54    if config['use_in_domain_test']:55        print('Computing In-Domain Query Embeddings...')56        indomain_sample_info_dict = test_query_encoder(data['in_domain_test_batches'], query_embedding_step)57        print('Computing Train Table Embeddings...')58        train_index_to_vec, train_id_to_index = test_table_encoder(train_headers, train_table_words, train_all_num_cols,59                                                                   train_masks, train_table_ids, table_embedding_step)60        print('Indexing Train Table Embeddings...')61        index_embeddings(train_index_to_vec, train_index, dim)62    print('Computing Dev Query Embeddings...')63    dev_sample_info_dict = test_query_encoder(data['dev_samples_batches'], query_embedding_step)64    print('Computing Dev Table Embeddings...')65    dev_index_to_vec, dev_id_to_index = test_table_encoder(dev_headers, dev_table_words, dev_all_num_cols, dev_masks,66                                                           dev_table_ids, table_embedding_step)67    print('Indexing Dev Table Embeddings...')68    index_embeddings(dev_index_to_vec, dev_index, dim)69    print('Computing Test Query Embeddings...')70    test_sample_info_dict = test_query_encoder(data['test_samples_batches'], query_embedding_step)71    print('Computing Test Table Embeddings...')72    test_index_to_vec, test_id_to_index = test_table_encoder(test_headers, test_table_words, test_all_num_cols,73                                                             test_masks, test_table_ids, table_embedding_step)74    print('Indexing Test Table Embeddings...')75    index_embeddings(test_index_to_vec, test_index, dim)76    print('Logging Metrics...')77    p_req = config['find_p']78    if not os.path.exists(log_path):79        os.makedirs(log_path)80    log_file = open(os.path.join(log_path, str(epoch_num) + '.tsv'), 'w', encoding='utf8')81    log_file.write('Eval Set' + '\t' + 'MRR')82    for p in p_req:83        log_file.write('\tP@' + str(p))84    log_file.write('\n')85    if config['use_in_domain_test']:86        metrics_logger(indomain_sample_info_dict, train_id_to_index, train_index, dim, 'in_domain_test', p_req,...

csv_encoder_unittest.py

Source:csv_encoder_unittest.py

...33                                      ',col1/sub1,col1/sub2,col2/sub1',34                                      'row1,1 / 2,,',35                                      'row2,,,3 / 4 (5 incomplete)',36                                      '"comma,header",,,')37    def test_table_encoder(self):38        request = self._make_request('get_test_views', [['col1', 'Column 1'],39                                                        ['col2', 'Column 2']])40        response = [{'col1' : 'foo', 'col2' : 'bar'},41                    {'col1' : 'baz', 'col2' : 'asdf'}]42        self._encode_and_check_result(request, response,43                                      'Column 1,Column 2',44                                      'foo,bar',45                                      'baz,asdf')46    def test_grouped_table_encoder(self):47        request = self._make_request('get_group_counts',48                                     [['col1', 'Column 1'],49                                      ['group_count', 'Count in group']])50        response = {'header_values' : 'unused',51                    'groups' : [{'col1' : 'foo', 'group_count' : 1},...

prepro_ptrnet.py

Source:prepro_ptrnet.py

...26dev_index = os.path.join(config['index_dir'], config['dev_tables_index'])27print('Computing Dev Query Embeddings...')28dev_sample_info_dict = test_query_encoder(data['dev_samples_batches'], query_embedding_step)29print('Computing Dev Table Embeddings...')30dev_index_to_vec, dev_id_to_index = test_table_encoder(dev_headers, dev_table_words, dev_all_num_cols, dev_masks,31                                                       dev_table_ids, table_embedding_step)32index_embeddings(dev_index_to_vec, dev_index, dim)33print('Indexing Dev Table Embeddings...')34get_top_k_tables(dev_sample_info_dict, dev_id_to_index, dev_index, dim, k)35test_index = os.path.join(config['index_dir'], config['test_tables_index'])36print('Computing Test Query Embeddings...')37test_sample_info_dict = test_query_encoder(data['test_samples_batches'], query_embedding_step)38print('Computing Test Table Embeddings...')39test_index_to_vec, test_id_to_index = test_table_encoder(test_headers, test_table_words, test_all_num_cols, test_masks,40                                                         test_table_ids, table_embedding_step)41index_embeddings(test_index_to_vec, test_index, dim)42print('Indexing Test Table Embeddings...')43get_top_k_tables(test_sample_info_dict, test_id_to_index, test_index, dim, k)44train_index = os.path.join(config['index_dir'], config['train_tables_index'])45print('Computing Train Query Embeddings...')46train_sample_info_dict = test_query_encoder(data['train_samples_batches'], query_embedding_step)47print('Computing Train Table Embeddings...')48train_index_to_vec, train_id_to_index = test_table_encoder(train_headers, train_table_words, train_all_num_cols,49                                                           train_masks, train_table_ids, table_embedding_step)50index_embeddings(train_index_to_vec, train_index, dim)51print('Indexing Train Table Embeddings...')52get_top_k_tables(train_sample_info_dict, train_id_to_index, train_index, dim, k)53dev_batches = create_ptrnet_dataset(dev_sample_info_dict, batch_size)54test_batches = create_ptrnet_dataset(test_sample_info_dict, batch_size)55train_batches = create_ptrnet_dataset(train_sample_info_dict, batch_size)56all_data = {57    'train_batches': train_batches,58    'dev_batches': dev_batches,59    'test_batches': test_batches,60    'train_index_to_vec': train_index_to_vec,61    'dev_index_to_vec': dev_index_to_vec,62    'test_index_to_vec': test_index_to_vec...

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