diff --git a/configs/config.yaml b/configs/config.yaml
index e42aea5..ce858e4 100644
--- a/configs/config.yaml
+++ b/configs/config.yaml
@@ -2,20 +2,23 @@ general:
     name: 'graph_dit'
     wandb: 'disabled' 
     gpus: 1
-    gpu_number: 2
+    gpu_number: 0
     resume: null
     test_only: null
     sample_every_val: 2500
-    samples_to_generate: 512      
+    samples_to_generate: 1000
     samples_to_save: 3
     chains_to_save: 1
     log_every_steps: 50
     number_chain_steps: 8
-    final_model_samples_to_generate: 100
+    final_model_samples_to_generate: 1000
     final_model_samples_to_save: 20
     final_model_chains_to_save: 1
     enable_progress_bar: False
     save_model: True
+    log_dir: '/nfs/data3/hanzhang/nasbenchDiT'
+    number_checkpoint_limit: 3
+    type: 'Trainer'
 model:
     type: 'discrete'
     transition: 'marginal'                  
@@ -32,7 +35,7 @@ model:
     ensure_connected: True
 train:
     # n_epochs: 5000
-    n_epochs: 500
+    n_epochs: 10
     batch_size: 1200
     lr: 0.0002
     clip_grad: null
@@ -41,8 +44,11 @@ train:
     seed: 0
     val_check_interval: null
     check_val_every_n_epoch: 1
+    gradient_accumulation_steps: 1
 dataset:
     datadir: 'data/'
     task_name: 'nasbench-201'
     guidance_target: 'nasbench-201'
     pin_memory: False
+ppo:
+    clip_param: 1
diff --git a/graph_dit/analysis/rdkit_functions.py b/graph_dit/analysis/rdkit_functions.py
index 9a28cee..e23bdb8 100644
--- a/graph_dit/analysis/rdkit_functions.py
+++ b/graph_dit/analysis/rdkit_functions.py
@@ -54,7 +54,9 @@ class BasicGraphMetrics(object):
         covered_nodes = set()
         direct_valid_count = 0
         print(f"generated number: {len(generated)}")
+        print(f"generated: {generated}")
         for graph in generated:
+            print(f"graph: {graph}")
             node_types, edge_types = graph
             direct_valid_flag = True
             direct_valid_count += 1
diff --git a/graph_dit/datasets/dataset.py b/graph_dit/datasets/dataset.py
index 2ba84b1..5e50bc2 100644
--- a/graph_dit/datasets/dataset.py
+++ b/graph_dit/datasets/dataset.py
@@ -815,8 +815,8 @@ class Dataset(InMemoryDataset):
         train_loader = dt.get_data(args.dataset, args.data_loc, args.trainval, args.batch_size, args.augtype, args.repeat, args)
         self.swap_scores = []
         import csv
-        # with open('/nfs/data3/hanzhang/nasbenchDiT/graph_dit/swap_results.csv', 'r') as f:
-        with open('/nfs/data3/hanzhang/nasbenchDiT/graph_dit/swap_results_cifar100.csv', 'r') as f:
+        with open('/nfs/data3/hanzhang/nasbenchDiT/graph_dit/swap_results.csv', 'r') as f:
+        # with open('/nfs/data3/hanzhang/nasbenchDiT/graph_dit/swap_results_cifar100.csv', 'r') as f:
             reader = csv.reader(f)
             header = next(reader)
             data = [row for row in reader]
diff --git a/graph_dit/diffusion_model.py b/graph_dit/diffusion_model.py
index a3f0993..b8dfc33 100644
--- a/graph_dit/diffusion_model.py
+++ b/graph_dit/diffusion_model.py
@@ -23,6 +23,9 @@ class Graph_DiT(pl.LightningModule):
         self.test_only = cfg.general.test_only
         self.guidance_target = getattr(cfg.dataset, 'guidance_target', None)
 
+        from nas_201_api import NASBench201API as API
+        self.api = API('/nfs/data3/hanzhang/nasbenchDiT/graph_dit/NAS-Bench-201-v1_1-096897.pth')
+
         input_dims = dataset_infos.input_dims
         output_dims = dataset_infos.output_dims
         nodes_dist = dataset_infos.nodes_dist
@@ -79,6 +82,7 @@ class Graph_DiT(pl.LightningModule):
         self.node_dist = nodes_dist
         self.active_index = active_index
         self.dataset_info = dataset_infos
+        self.cur_epoch = 0
 
         self.train_loss = TrainLossDiscrete(self.cfg.model.lambda_train)
 
@@ -162,25 +166,81 @@ class Graph_DiT(pl.LightningModule):
         return pred
         
     def training_step(self, data, i):
-        data_x = F.one_hot(data.x, num_classes=12).float()[:, self.active_index]
-        data_edge_attr = F.one_hot(data.edge_attr, num_classes=2).float()
+        if self.cfg.general.type != 'accelerator' and self.current_epoch > self.cfg.train.n_epochs / 5 * 4:
+            samples_left_to_generate = self.cfg.general.samples_to_generate
+            samples_left_to_save = self.cfg.general.samples_to_save
+            chains_left_to_save = self.cfg.general.chains_to_save
 
-        dense_data, node_mask = utils.to_dense(data_x, data.edge_index, data_edge_attr, data.batch, self.max_n_nodes)
-        dense_data = dense_data.mask(node_mask)
-        X, E = dense_data.X, dense_data.E
-        noisy_data = self.apply_noise(X, E, data.y, node_mask)
-        pred = self.forward(noisy_data)
-        loss = self.train_loss(masked_pred_X=pred.X, masked_pred_E=pred.E, pred_y=pred.y,
-                            true_X=X, true_E=E, true_y=data.y, node_mask=node_mask,
+            samples, all_ys, batch_id = [], [], 0
+
+            def graph_reward_fn(graphs, true_graphs=None, device=None, reward_model='swap'):
+                rewards = []
+                if reward_model == 'swap':
+                    import csv
+                    with open('/nfs/data3/hanzhang/nasbenchDiT/graph_dit/swap_results.csv', 'r') as f:
+                        reader = csv.reader(f)
+                        header = next(reader)
+                        data = [row for row in reader]
+                        swap_scores = [float(row[0]) for row in data]
+                        for graph in graphs:
+                            node_tensor = graph[0]
+                            node = node_tensor.cpu().numpy().tolist()
+
+                            def nodes_to_arch_str(nodes):
+                                num_to_op = ['input', 'nor_conv_1x1', 'nor_conv_3x3', 'avg_pool_3x3', 'skip_connect', 'none', 'output']
+                                nodes_str = [num_to_op[node] for node in nodes]
+                                arch_str = '|' + nodes_str[1] + '~0|+' + \
+                                        '|' + nodes_str[2] + '~0|' + nodes_str[3] + '~1|+' +\
+                                        '|' + nodes_str[4] + '~0|' + nodes_str[5] + '~1|' + nodes_str[6] + '~2|' 
+                                return arch_str
+                            
+                            arch_str = nodes_to_arch_str(node)
+                            reward = swap_scores[self.api.query_index_by_arch(arch_str)]
+                            rewards.append(reward)
+                return torch.tensor(rewards, dtype=torch.float32, requires_grad=True).unsqueeze(0).to(device)
+            old_log_probs = None
+
+            bs = 1 * self.cfg.train.batch_size
+            to_generate = min(samples_left_to_generate, bs)
+            to_save = min(samples_left_to_save, bs)
+            chains_save = min(chains_left_to_save, bs)
+            # batch_y = test_y_collection[batch_id : batch_id + to_generate]
+            batch_y = torch.ones(to_generate, self.ydim_output, device=self.device)
+
+            cur_sample, log_probs = self.sample_batch(batch_id, to_generate, batch_y, save_final=to_save,
+                                            keep_chain=chains_save, number_chain_steps=self.number_chain_steps)
+            # samples = samples + cur_sample
+            samples.append(cur_sample) 
+            reward = graph_reward_fn(cur_sample, device=self.device)
+            advantages = (reward - torch.mean(reward)) / (torch.std(reward) + 1e-6) # 
+            if old_log_probs is None:
+                old_log_probs = log_probs.clone()
+            ratio = torch.exp(log_probs - old_log_probs)
+            print(f"ratio: {ratio.shape}, advantages: {advantages.shape}")
+            unclipped_loss = -advantages * ratio
+            clipped_loss = -advantages * torch.clamp(ratio, 1.0 - self.cfg.ppo.clip_param, 1.0 + self.cfg.ppo.clip_param)
+            loss = torch.mean(torch.max(unclipped_loss, clipped_loss))
+            return {'loss': loss}
+        else:
+            data_x = F.one_hot(data.x, num_classes=12).float()[:, self.active_index]
+            data_edge_attr = F.one_hot(data.edge_attr, num_classes=2).float()
+
+            dense_data, node_mask = utils.to_dense(data_x, data.edge_index, data_edge_attr, data.batch, self.max_n_nodes)
+            dense_data = dense_data.mask(node_mask)
+            X, E = dense_data.X, dense_data.E
+            noisy_data = self.apply_noise(X, E, data.y, node_mask)
+            pred = self.forward(noisy_data)
+            loss = self.train_loss(masked_pred_X=pred.X, masked_pred_E=pred.E, pred_y=pred.y,
+                                true_X=X, true_E=E, true_y=data.y, node_mask=node_mask,
+                                log=i % self.log_every_steps == 0)
+            # print(f'training loss: {loss}, epoch: {self.current_epoch}, batch: {i}\n, pred type: {type(pred)}, pred.X shape: {type(pred.X)}, {pred.X.shape}, pred.E shape: {type(pred.E)}, {pred.E.shape}')
+            self.train_metrics(masked_pred_X=pred.X, masked_pred_E=pred.E, true_X=X, true_E=E,
                             log=i % self.log_every_steps == 0)
-        # print(f'training loss: {loss}, epoch: {self.current_epoch}, batch: {i}\n, pred type: {type(pred)}, pred.X shape: {type(pred.X)}, {pred.X.shape}, pred.E shape: {type(pred.E)}, {pred.E.shape}')
-        self.train_metrics(masked_pred_X=pred.X, masked_pred_E=pred.E, true_X=X, true_E=E,
-                        log=i % self.log_every_steps == 0)
-        self.log(f'loss', loss, batch_size=X.size(0), sync_dist=True)
-        print(f"training loss: {loss}")
-        with open("training-loss.csv", "a") as f:
-            f.write(f"{loss}, {i}\n")
-        return {'loss': loss}
+            self.log(f'loss', loss, batch_size=X.size(0), sync_dist=True)
+            print(f"training loss: {loss}")
+            with open("training-loss.csv", "a") as f:
+                f.write(f"{loss}, {i}\n")
+            return {'loss': loss}
 
 
     def configure_optimizers(self):
@@ -196,14 +256,15 @@ class Graph_DiT(pl.LightningModule):
 
     def on_train_epoch_start(self) -> None:
         if self.current_epoch / self.trainer.max_epochs in [0.25, 0.5, 0.75, 1.0]:
-            print("Starting train epoch {}/{}...".format(self.current_epoch, self.trainer.max_epochs))
+        # if self.cur_epoch / self.cfg.train.n_epochs in [0.25, 0.5, 0.75, 1.0]:
+            print("Starting train epoch {}/{}...".format(self.cur_epoch, self.cfg.train.n_epochs))
         self.start_epoch_time = time.time()
         self.train_loss.reset()
         self.train_metrics.reset()
 
     def on_train_epoch_end(self) -> None:
 
-        if self.current_epoch / self.trainer.max_epochs in [0.25, 0.5, 0.75, 1.0]:
+        if self.current_epoch / self.cfg.train.n_epochs in [0.25, 0.5, 0.75, 1.0]:
             log = True
         else:
             log = False
@@ -240,6 +301,7 @@ class Graph_DiT(pl.LightningModule):
                    self.val_X_logp.compute(), self.val_E_logp.compute()]
         
         if self.current_epoch / self.trainer.max_epochs in [0.25, 0.5, 0.75, 1.0]:
+        # if self.cur_epoch / self.cfg.train.n_epochs in [0.25, 0.5, 0.75, 1.0]:
             print(f"Epoch {self.current_epoch}: Val NLL {metrics[0] :.2f} -- Val Atom type KL {metrics[1] :.2f} -- ",
                 f"Val Edge type KL: {metrics[2] :.2f}", 'Val loss: %.2f \t Best :  %.2f\n' % (metrics[0], self.best_val_nll))
         with open("validation-metrics.csv", "a") as f:
@@ -336,7 +398,7 @@ class Graph_DiT(pl.LightningModule):
         print(f"Epoch {self.current_epoch}: Test NLL {metrics[0] :.2f} -- Test Atom type KL {metrics[1] :.2f} -- ",
               f"Test Edge type KL: {metrics[2] :.2f}")
 
-        ## final epcoh
+        ## final epoch
         samples_left_to_generate = self.cfg.general.final_model_samples_to_generate
         samples_left_to_save = self.cfg.general.final_model_samples_to_save
         chains_left_to_save = self.cfg.general.final_model_chains_to_save
@@ -359,9 +421,9 @@ class Graph_DiT(pl.LightningModule):
             # batch_y = test_y_collection[batch_id : batch_id + to_generate]
             batch_y = torch.ones(to_generate, self.ydim_output, device=self.device)
 
-            cur_sample = self.sample_batch(batch_id, to_generate, batch_y, save_final=to_save,
+            cur_sample, log_probs = self.sample_batch(batch_id, to_generate, batch_y, save_final=to_save,
                                             keep_chain=chains_save, number_chain_steps=self.number_chain_steps)
-            samples = samples + cur_sample
+            samples.append(cur_sample)  
             
             all_ys.append(batch_y)
             batch_id += to_generate
@@ -601,6 +663,12 @@ class Graph_DiT(pl.LightningModule):
 
         assert (E == torch.transpose(E, 1, 2)).all()
 
+        if self.cfg.general.type != 'accelerator':
+            if self.trainer.training or self.trainer.validating:
+                total_log_probs = torch.zeros([self.cfg.general.samples_to_generate, 10], device=self.device)
+            elif self.trainer.testing:
+                total_log_probs = torch.zeros([self.cfg.general.final_model_samples_to_generate, 10], device=self.device)
+
         # Iteratively sample p(z_s | z_t) for t = 1, ..., T, with s = t - 1.
         for s_int in reversed(range(0, self.T)):
             s_array = s_int * torch.ones((batch_size, 1)).type_as(y)
@@ -609,21 +677,24 @@ class Graph_DiT(pl.LightningModule):
             t_norm = t_array / self.T
 
             # Sample z_s
-            sampled_s, discrete_sampled_s = self.sample_p_zs_given_zt(s_norm, t_norm, X, E, y, node_mask)
+            sampled_s, discrete_sampled_s, log_probs = self.sample_p_zs_given_zt(s_norm, t_norm, X, E, y, node_mask)
             X, E, y = sampled_s.X, sampled_s.E, sampled_s.y
+            total_log_probs += log_probs
 
         # Sample
         sampled_s = sampled_s.mask(node_mask, collapse=True)
         X, E, y = sampled_s.X, sampled_s.E, sampled_s.y
         
-        molecule_list = []
+        graph_list = []
         for i in range(batch_size):
             n = n_nodes[i]
-            atom_types = X[i, :n].cpu()
+            node_types = X[i, :n].cpu()
             edge_types = E[i, :n, :n].cpu()
-            molecule_list.append([atom_types, edge_types])
+            graph_list.append((node_types , edge_types))
         
-        return molecule_list
+        total_log_probs = torch.sum(total_log_probs, dim=-1)
+        
+        return graph_list, total_log_probs
 
     def sample_p_zs_given_zt(self, s, t, X_t, E_t, y_t, node_mask):
         """Samples from zs ~ p(zs | zt). Only used during sampling.
@@ -675,6 +746,14 @@ class Graph_DiT(pl.LightningModule):
         # with condition = P_t(A_{t-1} |A_t, y)
         prob_X, prob_E, pred = get_prob(noisy_data)
 
+        log_prob_X = torch.log(torch.gather(prob_X, -1, X_t.long()).squeeze(-1))  # bs, n
+        log_prob_E = torch.log(torch.gather(prob_E, -1, E_t.long()).squeeze(-1))  # bs, n, n
+
+        # Sum the log_prob across dimensions for total log_prob
+        log_prob_X = log_prob_X.sum(dim=-1)
+        log_prob_E = log_prob_E.sum(dim=(1, 2))
+
+        log_probs = torch.cat([log_prob_X, log_prob_E], dim=-1)
         ### Guidance
         if self.guidance_target is not None and self.guide_scale is not None and self.guide_scale != 1:
             uncon_prob_X, uncon_prob_E, pred = get_prob(noisy_data, unconditioned=True)
@@ -810,4 +889,4 @@ class Graph_DiT(pl.LightningModule):
         out_one_hot = utils.PlaceHolder(X=X_s, E=E_s, y=y_t)
         out_discrete = utils.PlaceHolder(X=X_s, E=E_s, y=y_t)
 
-        return out_one_hot.mask(node_mask).type_as(y_t), out_discrete.mask(node_mask, collapse=True).type_as(y_t)
+        return out_one_hot.mask(node_mask).type_as(y_t), out_discrete.mask(node_mask, collapse=True).type_as(y_t), log_probs
diff --git a/graph_dit/main.py b/graph_dit/main.py
index f3d89e5..bb92456 100644
--- a/graph_dit/main.py
+++ b/graph_dit/main.py
@@ -177,32 +177,92 @@ def test(cfg: DictConfig):
         os.chdir(cfg.general.resume.split("checkpoints")[0])
     # os.environ["CUDA_VISIBLE_DEVICES"] = cfg.general.gpu_number
     model = Graph_DiT(cfg=cfg, **model_kwargs)
-    trainer = Trainer(
-        gradient_clip_val=cfg.train.clip_grad,
-        # accelerator="cpu",
-        accelerator="gpu"
-        if torch.cuda.is_available() and cfg.general.gpus > 0
-        else "cpu",
-        devices=[cfg.general.gpu_number]
-        if torch.cuda.is_available() and cfg.general.gpus > 0
-        else None,
-        max_epochs=cfg.train.n_epochs,
-        enable_checkpointing=False,
-        check_val_every_n_epoch=cfg.train.check_val_every_n_epoch,
-        val_check_interval=cfg.train.val_check_interval,
-        strategy="ddp" if cfg.general.gpus > 1 else "auto",
-        enable_progress_bar=cfg.general.enable_progress_bar,
-        callbacks=[],
-        reload_dataloaders_every_n_epochs=0,
-        logger=[],
-    )
 
-    if not cfg.general.test_only:
-        print("start testing fit method")
-        trainer.fit(model, datamodule=datamodule, ckpt_path=cfg.general.resume)
-        if cfg.general.save_model:
-            trainer.save_checkpoint(f"checkpoints/{cfg.general.name}/last.ckpt")
-        trainer.test(model, datamodule=datamodule)
+    if cfg.general.type == "accelerator":
+        graph_dit_model = model
+
+        from accelerate import Accelerator
+        from accelerate.utils import set_seed, ProjectConfiguration
+
+        accelerator_config = ProjectConfiguration(
+            project_dir=os.path.join(cfg.general.log_dir, cfg.general.name),
+            automatic_checkpoint_naming=True,
+            total_limit=cfg.general.number_checkpoint_limit,
+        )
+        accelerator = Accelerator(
+            mixed_precision='no',
+            project_config=accelerator_config,
+            # gradient_accumulation_steps=cfg.train.gradient_accumulation_steps * cfg.train.n_epochs,
+            gradient_accumulation_steps=cfg.train.gradient_accumulation_steps, 
+        )
+
+        optimizer = graph_dit_model.configure_optimizers()
+
+        train_dataloader = datamodule.train_dataloader()
+        train_dataloader = accelerator.prepare(train_dataloader)
+        val_dataloader = datamodule.val_dataloader()
+        val_dataloader = accelerator.prepare(val_dataloader)
+        test_dataloader = datamodule.test_dataloader()
+        test_dataloader = accelerator.prepare(test_dataloader)
+
+        optimizer, graph_dit_model = accelerator.prepare(optimizer, graph_dit_model)
+
+        # train_epoch
+        from pytorch_lightning import seed_everything
+        seed_everything(cfg.train.seed)
+        for epoch in range(cfg.train.n_epochs):
+            print(f"Epoch {epoch}")
+            graph_dit_model.train()
+            graph_dit_model.cur_epoch = epoch
+            graph_dit_model.on_train_epoch_start()
+            for batch in train_dataloader:
+                optimizer.zero_grad()
+                loss = graph_dit_model.training_step(batch, epoch)['loss']
+                accelerator.backward(loss)
+                optimizer.step()
+            graph_dit_model.on_train_epoch_end()
+            for batch in val_dataloader:
+                if epoch % cfg.train.check_val_every_n_epoch == 0:
+                    graph_dit_model.eval()
+                    graph_dit_model.on_validation_epoch_start()
+                    graph_dit_model.validation_step(batch, epoch)
+                    graph_dit_model.on_validation_epoch_end()
+        
+        # test_epoch
+
+        graph_dit_model.test()
+        graph_dit_model.on_test_epoch_start()
+        for batch in test_dataloader:
+            graph_dit_model.test_step(batch, epoch)
+        graph_dit_model.on_test_epoch_end()
+    
+    elif cfg.general.type == "Trainer": 
+        trainer = Trainer(
+            gradient_clip_val=cfg.train.clip_grad,
+            # accelerator="cpu",
+            accelerator="gpu"
+            if torch.cuda.is_available() and cfg.general.gpus > 0
+            else "cpu",
+            devices=[cfg.general.gpu_number]
+            if torch.cuda.is_available() and cfg.general.gpus > 0
+            else None,
+            max_epochs=cfg.train.n_epochs,
+            enable_checkpointing=False,
+            check_val_every_n_epoch=cfg.train.check_val_every_n_epoch,
+            val_check_interval=cfg.train.val_check_interval,
+            strategy="ddp" if cfg.general.gpus > 1 else "auto",
+            enable_progress_bar=cfg.general.enable_progress_bar,
+            callbacks=[],
+            reload_dataloaders_every_n_epochs=0,
+            logger=[],
+        )
+
+        if not cfg.general.test_only:
+            print("start testing fit method")
+            trainer.fit(model, datamodule=datamodule, ckpt_path=cfg.general.resume)
+            if cfg.general.save_model:
+                trainer.save_checkpoint(f"checkpoints/{cfg.general.name}/last.ckpt")
+            trainer.test(model, datamodule=datamodule)
 
 if __name__ == "__main__":
     test()
diff --git a/graph_dit/test_nasbench.ipynb b/graph_dit/test_nasbench.ipynb
index f34e5bf..3598de5 100644
--- a/graph_dit/test_nasbench.ipynb
+++ b/graph_dit/test_nasbench.ipynb
@@ -11,9 +11,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/stud/hanzhang/anaconda3/envs/graphdit/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
    "source": [
     "import sys\n",
     "sys.path.append('../') \n",
@@ -34,6 +43,89 @@
     "from sklearn.model_selection import train_test_split\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "torch.Size([100, 1])\n"
+     ]
+    }
+   ],
+   "source": [
+    "tensor1 = torch.randn(100,10)\n",
+    "sums_tensor1 = torch.sum(tensor1, dim=-1).unsqueeze(1)\n",
+    "print(sums_tensor1.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tensor([[ 7.1564e-01, -3.5812e-02, -2.5924e-01],\n",
+      "        [ 1.5302e-03,  1.0105e+00,  2.3484e+00]])\n",
+      "tensor([[-0.3566, -0.9514, -0.3267],\n",
+      "        [-1.0915, -0.2063,  0.1615]])\n",
+      "torch.Size([4, 3])\n",
+      "tensor([[ 7.1564e-01, -3.5812e-02, -2.5924e-01],\n",
+      "        [ 1.5302e-03,  1.0105e+00,  2.3484e+00],\n",
+      "        [-3.5660e-01, -9.5144e-01, -3.2673e-01],\n",
+      "        [-1.0915e+00, -2.0631e-01,  1.6153e-01]])\n",
+      "torch.Size([2, 6])\n",
+      "tensor([[ 7.1564e-01, -3.5812e-02, -2.5924e-01, -3.5660e-01, -9.5144e-01,\n",
+      "         -3.2673e-01],\n",
+      "        [ 1.5302e-03,  1.0105e+00,  2.3484e+00, -1.0915e+00, -2.0631e-01,\n",
+      "          1.6153e-01]])\n"
+     ]
+    }
+   ],
+   "source": [
+    "tensor1 = torch.randn(2, 3)\n",
+    "tensor2 = torch.randn(2, 3)\n",
+    "print(tensor1)\n",
+    "print(tensor2)\n",
+    "result1 = torch.cat([tensor1, tensor2], dim=0)\n",
+    "print(result1.shape)\n",
+    "print(result1)\n",
+    "\n",
+    "result2 = torch.cat([tensor1, tensor2], dim=1)\n",
+    "print(result2.shape)\n",
+    "print(result2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[tensor([[0.4206, 3.3604]]), tensor([[-1.6348, -1.1363]])]\n"
+     ]
+    }
+   ],
+   "source": [
+    "tensors = [tensor1, tensor2]\n",
+    "for i in range(len(tensors)):\n",
+    "    tensors[i] = torch.sum(tensors[i], dim=-1).unsqueeze(0)\n",
+    "print(tensors)\n",
+    "# for tensor in tensors:\n",
+    "#     tensor = torch.sum(tensor).unsqueeze(0)\n",
+    "#     print(tensor)\n",
+    "# print(tensors)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -15709,23 +15801,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Call the get_more_info function with index=5374, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
-      "Call query_index_by_arch with arch=5374\n",
-      "train-loss 0.0018764479948580265\n",
-      "train-accuracy 99.983\n",
-      "train-per-time 24.43959446748098\n",
-      "train-all-time 4887.918893496196\n",
-      "test-loss 0.29164503993988034\n",
-      "test-accuracy 93.925\n",
-      "test-per-time 1.5713793436686203\n",
-      "test-all-time 314.27586873372405\n",
       "Call the get_more_info function with index=0, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
       "Call query_index_by_arch with arch=0\n",
       "Call the get_more_info function with index=1, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
@@ -46976,6 +47058,7 @@
       "Call query_index_by_arch with arch=15623\n",
       "Call the get_more_info function with index=15624, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
       "Call query_index_by_arch with arch=15624\n",
+      "42 370 588\n",
       "Best architecture for cifar10: 6111 with accuracy 94.37333333333333\n"
      ]
     }
@@ -46997,15 +47080,49 @@
     "args = Args()\n",
     "best_idx = None\n",
     "best_value = None\n",
+    "scores_200 = []\n",
+    "\n",
     "for i in range(15625):\n",
     "    res = api.get_more_info(i, args.dataset, None, hp=args.hp, is_random=args.is_random)\n",
+    "    scores_200.append(res['test-accuracy'])\n",
     "    if best_value is None or res['test-accuracy'] > best_value:\n",
     "        best_value = res['test-accuracy']\n",
     "        best_idx = i\n",
+    "scores_top1000 = sorted(scores_200, reverse=True)[:1000]\n",
+    "over94 = [x for x in scores_top1000 if x > 94]\n",
+    "over935 = [x for x in scores_top1000 if x > 93.5]\n",
+    "over93 = [x for x in scores_top1000 if x > 93]\n",
+    "print(len(over94), len(over935) - len(over94), len(over93)-len(over935))\n",
     "print(f'Best architecture for {args.dataset}: {best_idx} with accuracy {best_value}')\n",
+    "# get mean, max, min, std of the top 1000 scores\n",
+    "min_score = min(scores_top1000)\n",
+    "max_score = max(scores_top1000)\n",
+    "mean_score = np.mean(scores_top1000)\n",
+    "\n",
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Min score: 93.18333333333334\n",
+      "Max score: 94.37333333333333\n",
+      "Mean score: 93.49814333333333\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Min score: {min_score}')    \n",
+    "print(f'Max score: {max_score}')\n",
+    "print(f'Mean score: {mean_score}')"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 6,
@@ -47469,519 +47586,422 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
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0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 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0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]], [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]]]}\n",
       "df\n",
-      "[0, 3, 5, 5, 1, 2, 2, 6] [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]]\n",
-      "[0, 3, 5, 5, 1, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|none~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=10117, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=10117, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|none~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|none~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 2, 5, 2, 5, 2, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=4797, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=4797, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 1, 2, 2, 3, 1, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=4218, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=4218, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 1, 2, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=3844, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3844, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=58.90M, Param=0.428MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 5, 1, 3, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=5182, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5182, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 3, 2, 5, 1, 4, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|skip_connect~2|\n",
-      "Call query_by_index with arch_index=2087, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=2087, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|skip_connect~2|, FLOP=51.04M, Param=0.372MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|skip_connect~2|, FLOP=51.04M, Param=0.372MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|skip_connect~2|, FLOP=51.04M, Param=0.372MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 1, 5, 4, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|skip_connect~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=14919, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14919, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|skip_connect~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|skip_connect~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|skip_connect~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 4, 3, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=443, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=443, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 5, 4, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=4747, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=4747, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 4, 2, 1, 1, 1, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=11473, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=11473, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 5, 2, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|none~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=2819, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=2819, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|none~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|none~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|none~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 5, 4, 2, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=12184, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12184, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 5, 4, 5, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|none~0|skip_connect~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=14194, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14194, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|none~0|skip_connect~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|none~0|skip_connect~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|none~0|skip_connect~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 3, 2, 1, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=11915, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=11915, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 1, 5, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=6096, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=6096, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 1, 3, 3, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=6465, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=6465, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
+      "[0, 2, 2, 4, 4, 1, 2, 6] [[0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 1, 0, 0], [1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0], [1, 0, 0, 0, 0, 0, 0, 1], [0, 1, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 0, 0, 0, 1], [0, 0, 0, 0, 1, 1, 1, 0]]\n",
+      "[0, 2, 2, 4, 4, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=8621, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=8621\n",
+      "[0, 2, 2, 2, 4, 2, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=13981, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13981\n",
+      "[0, 2, 1, 1, 3, 5, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|none~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=11890, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11890\n",
+      "[0, 4, 3, 1, 1, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=2289, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=2289\n",
+      "[0, 3, 2, 1, 1, 1, 3, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=11341, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11341\n",
+      "[0, 4, 1, 5, 5, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=11828, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11828\n",
+      "[0, 2, 4, 2, 2, 4, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|skip_connect~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=1177, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1177\n",
+      "[0, 2, 5, 4, 5, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|none~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=11135, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11135\n",
+      "[0, 2, 1, 2, 1, 5, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|none~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1742, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1742\n",
+      "[0, 1, 5, 2, 1, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|none~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=10425, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10425\n",
       "[0, 4, 2, 3, 4, 2, 2, 6]\n",
       "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=137, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=137, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 2, 4, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=14152, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14152, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 2, 1, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=4825, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=4825, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 2, 2, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=12692, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12692, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=157.21M, Param=1.101MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 3, 2, 1, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=2758, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=2758, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 4, 1, 3, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=14039, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14039, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 5, 1, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=10324, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=10324, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 2, 1, 4, 4, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|skip_connect~2|\n",
-      "Call query_by_index with arch_index=551, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=551, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 1, 2, 3, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|avg_pool_3x3~1|none~2|\n",
-      "Call query_by_index with arch_index=12334, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12334, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|avg_pool_3x3~1|none~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|avg_pool_3x3~1|none~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 5, 1, 1, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=12926, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12926, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 3, 3, 5, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|none~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=7162, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7162, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|none~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|none~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 3, 2, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=5315, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5315, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 4, 2, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=1577, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1577, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 1, 1, 2, 1, 5, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|\n",
-      "Call query_by_index with arch_index=3871, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3871, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 5, 3, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=5447, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5447, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 3, 4, 2, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|none~2|\n",
-      "Call query_by_index with arch_index=5202, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5202, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|none~2|, FLOP=82.49M, Param=0.587MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|none~2|, FLOP=82.49M, Param=0.587MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|skip_connect~0|nor_conv_3x3~1|none~2|, FLOP=82.49M, Param=0.587MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 5, 1, 2, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=2401, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=2401, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 2, 1, 5, 4, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|none~1|skip_connect~2|\n",
-      "Call query_by_index with arch_index=12249, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12249, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|none~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|none~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 4, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=7064, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7064, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 5, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=8464, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=8464, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 1, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=15041, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15041, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 5, 2, 4, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=3456, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3456, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 1, 1, 3, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=13232, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=13232, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 2, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=10739, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=10739, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 3, 3, 1, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=7726, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7726, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 3, 2, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=1062, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1062, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=153.27M, Param=1.073MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=153.27M, Param=1.073MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=153.27M, Param=1.073MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 4, 2, 1, 4, 1, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=1626, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1626, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|, FLOP=51.04M, Param=0.372MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|, FLOP=51.04M, Param=0.372MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|, FLOP=51.04M, Param=0.372MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 1, 5, 2, 4, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|skip_connect~2|\n",
-      "Call query_by_index with arch_index=7615, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7615, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|skip_connect~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 5, 3, 3, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=9263, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=9263, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_3x3~2|, FLOP=113.95M, Param=0.802MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 2, 1, 3, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=14224, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14224, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 3, 1, 1, 4, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|none~2|\n",
-      "Call query_by_index with arch_index=15274, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15274, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|none~2|, FLOP=51.04M, Param=0.372MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|none~2|, FLOP=51.04M, Param=0.372MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|none~2|, FLOP=51.04M, Param=0.372MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 2, 2, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=3849, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3849, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=153.27M, Param=1.073MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 2, 2, 2, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=14493, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14493, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=153.27M, Param=1.073MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=153.27M, Param=1.073MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=153.27M, Param=1.073MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 2, 2, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=15341, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15341, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=188.66M, Param=1.317MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=188.66M, Param=1.317MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 1, 5, 2, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=11401, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=11401, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 2, 1, 2, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=4441, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=4441, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 2, 2, 4, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|skip_connect~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=15573, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15573, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|skip_connect~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 1, 2, 3, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=15598, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15598, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|avg_pool_3x3~1|avg_pool_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 4, 5, 1, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|none~0|nor_conv_1x1~1|none~2|\n",
-      "Call query_by_index with arch_index=3925, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3925, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|none~0|nor_conv_1x1~1|none~2|, FLOP=51.04M, Param=0.372MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|none~0|nor_conv_1x1~1|none~2|, FLOP=51.04M, Param=0.372MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|none~0|nor_conv_1x1~1|none~2|, FLOP=51.04M, Param=0.372MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 1, 1, 2, 4, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|\n",
-      "Call query_by_index with arch_index=8085, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=8085, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 3, 1, 1, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=13572, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=13572, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 1, 2, 1, 4, 1, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=5878, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5878, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 2, 1, 2, 1, 5, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|\n",
-      "Call query_by_index with arch_index=12332, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12332, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 5, 2, 1, 2, 5, 2, 6]\n",
-      "Call query_index_by_arch with arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=13672, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=13672, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 2, 3, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=15096, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15096, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 4, 1, 1, 2, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=5978, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5978, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 5, 2, 1, 5, 1, 1, 6]\n",
-      "Call query_index_by_arch with arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=9873, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=9873, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 3, 3, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=14775, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14775, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 3, 1, 2, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
-      "Call query_by_index with arch_index=5815, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=5815, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 4, 1, 4, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=10635, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=10635, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 1, 1, 3, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=9410, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=9410, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 1, 5, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=10265, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=10265, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 2, 5, 1, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|none~2|\n",
-      "Call query_by_index with arch_index=7547, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7547, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|none~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|none~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|none~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 3, 3, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=1173, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1173, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 5, 4, 2, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=9094, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=9094, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 2, 5, 1, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=13039, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=13039, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 1, 4, 3, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=2045, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=2045, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=51.04M, Param=0.372MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=51.04M, Param=0.372MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=51.04M, Param=0.372MB, seed=0999, 1 eval-sets: [ori-test])}\n",
+      "Call the get_more_info function with index=137, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=137\n",
+      "[0, 1, 3, 4, 4, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|skip_connect~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=12383, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12383\n",
       "[0, 1, 2, 5, 2, 1, 2, 6]\n",
       "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=12848, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12848, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 3, 1, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=65, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=65, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 5, 1, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=14118, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14118, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 5, 1, 1, 2, 4, 2, 6]\n",
-      "Call query_index_by_arch with arch=|none~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=165, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=165, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|none~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|none~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|none~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_3x3~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 4, 2, 3, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=6711, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=6711, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 3, 5, 1, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=310, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=310, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|none~0|nor_conv_1x1~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 4, 1, 1, 3, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=4770, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=4770, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|, FLOP=54.97M, Param=0.400MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 5, 2, 1, 2, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=15312, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15312, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|none~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=121.82M, Param=0.858MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 4, 1, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=1251, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1251, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=54.97M, Param=0.400MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=54.97M, Param=0.400MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=54.97M, Param=0.400MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 4, 2, 2, 2, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|\n",
-      "Call query_by_index with arch_index=1010, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1010, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 1, 2, 3, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=7524, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7524, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 2, 2, 1, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=10321, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=10321, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 5, 2, 4, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=8449, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=8449, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 1, 1, 5, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|none~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=1013, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=1013, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|none~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|none~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|none~1|nor_conv_1x1~2|, FLOP=90.36M, Param=0.643MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 3, 3, 4, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|skip_connect~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=8471, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=8471, hp=200\n",
-      "{888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|avg_pool_3x3~0|skip_connect~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 2, 1, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=9803, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=9803, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 3, 2, 2, 5, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|\n",
-      "Call query_by_index with arch_index=6593, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=6593, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|, FLOP=149.34M, Param=1.045MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|, FLOP=149.34M, Param=1.045MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 1, 1, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=15463, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=15463, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=58.90M, Param=0.428MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=58.90M, Param=0.428MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 1, 4, 1, 1, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=3424, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3424, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 4, 2, 2, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=7064, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=7064, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|, FLOP=149.34M, Param=1.045MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 3, 2, 1, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=3771, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=3771, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=121.82M, Param=0.858MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 2, 1, 1, 2, 4, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|\n",
-      "Call query_by_index with arch_index=8085, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=8085, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|, FLOP=90.36M, Param=0.643MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|, FLOP=90.36M, Param=0.643MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 1, 4, 5, 5, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=2657, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=2657, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_1x1~0|+|skip_connect~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=82.49M, Param=0.587MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 4, 4, 1, 2, 2, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
-      "Call query_by_index with arch_index=13431, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=13431, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|skip_connect~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|skip_connect~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 3, 3, 2, 2, 2, 1, 6]\n",
-      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=12182, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=12182, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|avg_pool_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 5, 1, 2, 4, 1, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|\n",
-      "Call query_by_index with arch_index=9098, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=9098, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|, FLOP=86.43M, Param=0.615MB, seed=0888, 1 eval-sets: [ori-test])}\n",
-      "[0, 2, 2, 5, 2, 1, 3, 6]\n",
-      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
-      "Call query_by_index with arch_index=14456, dataname=cifar10, hp=200\n",
-      "Call query_meta_info_by_index with arch_index=14456, hp=200\n",
-      "{777: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0777, 1 eval-sets: [ori-test]), 888: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0888, 1 eval-sets: [ori-test]), 999: ResultsCount(cifar10, arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|, FLOP=117.88M, Param=0.830MB, seed=0999, 1 eval-sets: [ori-test])}\n",
-      "[(10117, 91.09), (4797, 93.08), (4218, 92.8), (3844, 92.0), (5182, 91.89), (2087, 91.51), (14919, 93.45), (443, 92.46), (4747, 93.57), (11473, 91.77), (2819, 92.28), (12184, 93.14), (14194, 91.21), (11915, 93.23), (6096, 92.0), (6465, 92.03), (137, 93.25), (14152, 93.68), (4825, 92.13), (12692, 93.61), (2758, 92.43), (14039, 92.87), (10324, 93.24), (551, 92.93), (12334, 91.64), (12926, 91.73), (7162, 91.31), (5315, 93.26), (1577, 91.79), (3871, 92.06), (5447, 92.56), (5202, 92.85), (2401, 92.85), (12249, 93.13), (7064, 92.91), (8464, 92.73), (15041, 93.09), (3456, 94.13), (13232, 91.16), (10739, 93.36), (7726, 92.92), (1062, 93.43), (1626, 92.61), (7615, 92.91), (9263, 92.42), (14224, 93.33), (15274, 92.1), (3849, 93.56), (14493, 93.14), (15341, 93.78), (11401, 92.53), (4441, 93.11), (15573, 93.0), (15598, 92.61), (3925, 85.31), (8085, 92.95), (13572, 93.15), (5878, 93.46), (12332, 91.99), (13672, 92.99), (15096, 90.75), (5978, 92.77), (9873, 90.62), (14775, 92.65), (5815, 92.19), (10635, 92.64), (9410, 91.29), (10265, 91.94), (7547, 91.26), (1173, 93.21), (9094, 93.15), (13039, 93.08), (2045, 89.72), (12848, 93.29), (65, 93.36), (14118, 93.95), (165, 92.7), (6711, 92.68), (310, 91.99), (4770, 92.72), (15312, 92.88), (1251, 91.87), (1010, 92.91), (7524, 92.87), (10321, 93.19), (8449, 93.97), (1013, 93.21), (8471, 91.97), (9803, 91.44), (6593, 93.19), (15463, 91.41), (3424, 93.5), (7064, 92.91), (3771, 93.19), (8085, 92.95), (2657, 92.98), (13431, 93.55), (12182, 92.18), (9098, 92.53), (14456, 92.79)]\n",
+      "Call the get_more_info function with index=12848, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12848\n",
+      "[0, 1, 4, 2, 1, 1, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=8209, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=8209\n",
+      "[0, 2, 1, 5, 2, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=10859, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10859\n",
+      "[0, 2, 1, 5, 2, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=15123, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=15123\n",
+      "[0, 4, 1, 2, 1, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1828, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1828\n",
+      "[0, 4, 2, 4, 1, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1892, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1892\n",
+      "[0, 2, 4, 2, 1, 1, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=111, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=111\n",
+      "[0, 3, 2, 1, 1, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=10418, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10418\n",
+      "[0, 4, 3, 1, 1, 1, 5, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|none~2|\n",
+      "Call the get_more_info function with index=12502, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12502\n",
+      "[0, 3, 2, 2, 2, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=13123, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13123\n",
+      "[0, 1, 2, 4, 1, 4, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_1x1~0|skip_connect~1|none~2|\n",
+      "Call the get_more_info function with index=14267, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14267\n",
+      "[0, 2, 5, 5, 2, 2, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=13859, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13859\n",
+      "[0, 1, 1, 1, 1, 4, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|none~2|\n",
+      "Call the get_more_info function with index=5485, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=5485\n",
+      "[0, 1, 2, 1, 3, 4, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|avg_pool_3x3~0|skip_connect~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=5028, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=5028\n",
+      "[0, 1, 1, 5, 1, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=11187, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11187\n",
+      "[0, 1, 1, 4, 1, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=10640, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10640\n",
+      "[0, 5, 1, 3, 1, 4, 1, 6]\n",
+      "Call query_index_by_arch with arch=|none~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_1x1~0|skip_connect~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=9644, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=9644\n",
+      "[0, 4, 2, 3, 2, 5, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_3x3~0|none~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=10414, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10414\n",
+      "[0, 1, 4, 4, 1, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=7613, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=7613\n",
+      "[0, 1, 3, 2, 2, 3, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|avg_pool_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=10225, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10225\n",
+      "[0, 2, 1, 5, 1, 2, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=14294, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14294\n",
+      "[0, 3, 5, 2, 2, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|none~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=14886, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14886\n",
+      "[0, 3, 2, 1, 1, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=10839, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10839\n",
+      "[0, 1, 4, 1, 5, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|none~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1060, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1060\n",
+      "[0, 2, 3, 1, 3, 2, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=1850, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1850\n",
+      "[0, 3, 2, 5, 5, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|none~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=10928, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10928\n",
+      "[0, 3, 2, 2, 4, 4, 1, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|skip_connect~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1811, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1811\n",
+      "[0, 1, 1, 5, 1, 3, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|nor_conv_1x1~0|avg_pool_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=3756, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=3756\n",
+      "[0, 1, 5, 4, 1, 2, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|none~0|skip_connect~1|+|nor_conv_1x1~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=2541, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=2541\n",
+      "[0, 2, 1, 2, 1, 3, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=15348, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=15348\n",
+      "[0, 2, 1, 3, 2, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|avg_pool_3x3~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=10073, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10073\n",
+      "[0, 1, 2, 4, 5, 1, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|none~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=3819, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=3819\n",
+      "[0, 1, 4, 2, 2, 5, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|none~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=13997, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13997\n",
+      "[0, 2, 5, 1, 4, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|skip_connect~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=14616, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14616\n",
+      "[0, 1, 4, 5, 1, 3, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|none~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=787, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=787\n",
+      "[0, 4, 4, 1, 1, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=4874, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=4874\n",
+      "[0, 1, 4, 1, 5, 4, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|none~0|skip_connect~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=12709, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12709\n",
+      "[0, 1, 4, 1, 2, 4, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_3x3~0|skip_connect~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1363, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1363\n",
+      "[0, 3, 2, 2, 3, 1, 3, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=11846, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11846\n",
+      "[0, 1, 1, 1, 4, 3, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|skip_connect~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=903, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=903\n",
+      "[0, 4, 4, 3, 5, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|skip_connect~0|avg_pool_3x3~1|+|none~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=8025, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=8025\n",
+      "[0, 1, 4, 2, 3, 3, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|avg_pool_3x3~0|avg_pool_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=7119, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=7119\n",
+      "[0, 2, 2, 4, 2, 2, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_3x3~0|nor_conv_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=688, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=688\n",
+      "[0, 2, 4, 1, 5, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|none~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=13273, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13273\n",
+      "[0, 1, 4, 4, 5, 2, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|skip_connect~1|+|none~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=4593, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=4593\n",
+      "[0, 4, 1, 2, 1, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=14791, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14791\n",
+      "[0, 3, 2, 5, 1, 5, 5, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|none~1|+|nor_conv_1x1~0|none~1|none~2|\n",
+      "Call the get_more_info function with index=7339, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=7339\n",
+      "[0, 2, 2, 2, 5, 3, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|none~0|avg_pool_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=5436, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=5436\n",
+      "[0, 2, 1, 4, 2, 5, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|nor_conv_3x3~0|none~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=15113, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=15113\n",
+      "[0, 3, 5, 1, 3, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|none~0|nor_conv_1x1~1|+|avg_pool_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=5965, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=5965\n",
+      "[0, 1, 2, 4, 5, 2, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|skip_connect~1|+|none~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=2012, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=2012\n",
+      "[0, 2, 4, 4, 1, 5, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|skip_connect~1|+|nor_conv_1x1~0|none~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=14377, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14377\n",
+      "[0, 2, 4, 2, 1, 2, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=202, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=202\n",
+      "[0, 1, 2, 5, 5, 4, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|none~1|+|none~0|skip_connect~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=5319, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=5319\n",
+      "[0, 1, 2, 1, 4, 2, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_3x3~1|none~2|\n",
+      "Call the get_more_info function with index=1413, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1413\n",
+      "[0, 2, 3, 5, 2, 1, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|avg_pool_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|\n",
+      "Call the get_more_info function with index=14891, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14891\n",
+      "[0, 2, 5, 2, 2, 3, 4, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|nor_conv_3x3~0|avg_pool_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=1316, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1316\n",
+      "[0, 1, 3, 4, 1, 5, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|skip_connect~1|+|nor_conv_1x1~0|none~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=4162, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=4162\n",
+      "[0, 1, 1, 5, 2, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=3147, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=3147\n",
+      "[0, 2, 1, 1, 3, 5, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|avg_pool_3x3~0|none~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=14312, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14312\n",
+      "[0, 4, 4, 1, 2, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=1758, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=1758\n",
+      "[0, 1, 1, 2, 5, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=6546, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=6546\n",
+      "[0, 4, 2, 3, 1, 5, 2, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|none~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=13398, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13398\n",
+      "[0, 4, 2, 2, 2, 5, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|nor_conv_3x3~0|none~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=15622, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=15622\n",
+      "[0, 2, 5, 1, 1, 4, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|none~2|\n",
+      "Call the get_more_info function with index=6979, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=6979\n",
+      "[0, 1, 3, 1, 2, 1, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=14397, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14397\n",
+      "[0, 2, 5, 2, 3, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|none~0|nor_conv_3x3~1|+|avg_pool_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=14917, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=14917\n",
+      "[0, 2, 2, 4, 1, 3, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|skip_connect~1|+|nor_conv_1x1~0|avg_pool_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=4063, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=4063\n",
+      "[0, 3, 2, 1, 4, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=10476, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10476\n",
+      "[0, 3, 3, 2, 1, 1, 5, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|none~2|\n",
+      "Call the get_more_info function with index=10289, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10289\n",
+      "[0, 2, 2, 2, 5, 1, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=12866, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12866\n",
+      "[0, 2, 4, 1, 1, 1, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_1x1~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=9385, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=9385\n",
+      "[0, 4, 1, 2, 1, 2, 4, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_1x1~0|nor_conv_3x3~1|+|nor_conv_1x1~0|nor_conv_3x3~1|skip_connect~2|\n",
+      "Call the get_more_info function with index=11050, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11050\n",
+      "[0, 2, 2, 2, 4, 2, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=12608, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12608\n",
+      "[0, 1, 4, 2, 4, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|skip_connect~0|nor_conv_3x3~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=5204, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=5204\n",
+      "[0, 4, 2, 1, 5, 2, 1, 6]\n",
+      "Call query_index_by_arch with arch=|skip_connect~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|none~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=10703, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=10703\n",
+      "[0, 2, 2, 1, 1, 3, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|nor_conv_1x1~1|+|nor_conv_1x1~0|avg_pool_3x3~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=7059, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=7059\n",
+      "[0, 2, 2, 5, 4, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|none~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=2053, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=2053\n",
+      "[0, 2, 4, 3, 5, 1, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|avg_pool_3x3~1|+|none~0|nor_conv_1x1~1|none~2|\n",
+      "Call the get_more_info function with index=13888, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13888\n",
+      "[0, 2, 1, 1, 2, 1, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_3x3~0|nor_conv_1x1~1|none~2|\n",
+      "Call the get_more_info function with index=4601, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=4601\n",
+      "[0, 2, 4, 5, 1, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|none~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=2552, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=2552\n",
+      "[0, 5, 1, 1, 4, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|none~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|skip_connect~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=7579, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=7579\n",
+      "[0, 5, 1, 1, 1, 4, 3, 6]\n",
+      "Call query_index_by_arch with arch=|none~0|+|nor_conv_1x1~0|nor_conv_1x1~1|+|nor_conv_1x1~0|skip_connect~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=12393, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12393\n",
+      "[0, 2, 4, 2, 2, 2, 1, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|skip_connect~0|nor_conv_3x3~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_1x1~2|\n",
+      "Call the get_more_info function with index=571, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=571\n",
+      "[0, 3, 3, 5, 2, 2, 2, 6]\n",
+      "Call query_index_by_arch with arch=|avg_pool_3x3~0|+|avg_pool_3x3~0|none~1|+|nor_conv_3x3~0|nor_conv_3x3~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=11568, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=11568\n",
+      "[0, 2, 1, 4, 3, 2, 3, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_1x1~0|skip_connect~1|+|avg_pool_3x3~0|nor_conv_3x3~1|avg_pool_3x3~2|\n",
+      "Call the get_more_info function with index=13626, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=13626\n",
+      "[0, 2, 2, 3, 1, 1, 2, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_3x3~0|+|nor_conv_3x3~0|avg_pool_3x3~1|+|nor_conv_1x1~0|nor_conv_1x1~1|nor_conv_3x3~2|\n",
+      "Call the get_more_info function with index=12411, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=12411\n",
+      "[0, 1, 3, 2, 5, 1, 5, 6]\n",
+      "Call query_index_by_arch with arch=|nor_conv_1x1~0|+|avg_pool_3x3~0|nor_conv_3x3~1|+|none~0|nor_conv_1x1~1|none~2|\n",
+      "Call the get_more_info function with index=4673, dataset=cifar10, iepoch=None, hp=200, and is_random=False.\n",
+      "Call query_index_by_arch with arch=4673\n",
+      "[(8621, 93.795), (13981, 93.695), (11890, 90.685), (2289, 90.33), (11341, 91.44333333333333), (11828, 92.52666666666669), (1177, 93.61333333333333), (11135, 90.975), (1742, 93.43333333333334), (10425, 92.59), (137, 93.18333333333334), (12383, 92.48), (12848, 93.29), (8209, 92.52333333333333), (10859, 92.45), (15123, 93.09), (1828, 92.65666666666665), (1892, 92.47000000000001), (111, 93.68666666666667), (10418, 91.38), (12502, 89.28000000000002), (13123, 92.95), (14267, 89.02), (13859, 93.14333333333333), (5485, 89.11333333333334), (5028, 93.135), (11187, 89.5), (10640, 92.45), (9644, 89.02000000000001), (10414, 92.62), (7613, 92.37), (10225, 91.83), (14294, 93.195), (14886, 92.51666666666667), (10839, 91.31), (1060, 90.3), (1850, 89.58), (10928, 92.08999999999999), (1811, 90.60000000000001), (3756, 90.075), (2541, 92.13333333333333), (15348, 93.15), (10073, 93.66499999999999), (3819, 91.19), (13997, 93.045), (14616, 92.97), (787, 92.12333333333333), (4874, 92.54666666666667), (12709, 92.74), (1363, 92.40333333333332), (11846, 89.08500000000001), (903, 92.63666666666667), (8025, 92.26333333333332), (7119, 92.03999999999999), (688, 93.08333333333333), (13273, 92.40333333333335), (4593, 91.97), (14791, 92.28666666666668), (7339, 88.63), (5436, 92.98), (15113, 91.8), (5965, 83.22), (2012, 91.36666666666667), (14377, 92.74), (202, 92.77999999999999), (5319, 91.95), (1413, 92.71), (14891, 93.18666666666667), (1316, 92.80333333333334), (4162, 92.19), (3147, 92.88333333333334), (14312, 92.66), (1758, 92.11333333333333), (6546, 92.345), (13398, 93.07), (15622, 92.96666666666665), (6979, 92.01), (14397, 90.98), (14917, 93.02), (4063, 93.21000000000001), (10476, 93.83), (10289, 89.945), (12866, 92.18), (9385, 92.71000000000001), (11050, 92.28666666666668), (12608, 93.765), (5204, 93.34333333333332), (10703, 93.14333333333333), (7059, 92.37), (2053, 94.20666666666666), (13888, 91.20666666666666), (4601, 92.81), (2552, 93.39333333333333), (7579, 92.735), (12393, 89.775), (571, 93.69333333333334), (11568, 91.4), (13626, 92.24), (12411, 93.57), (4673, 88.14)]\n",
       "100 0\n",
-      "{'<90': 2, '<91': 2, '<92': 19, '<93': 41, '<94': 35, '>94': 1}\n"
+      "{'<90': 12, '<91': 7, '<92': 11, '<93': 43, '<94': 26, '>94': 1}\n",
+      "mean:  92.04488333333333\n",
+      "max:  94.20666666666666\n",
+      "min:  83.22\n"
      ]
     }
    ],
@@ -48066,7 +48086,7 @@
     "               '|' + nodes_str[4] + '~0|' + nodes_str[5] + '~1|' + nodes_str[6] + '~2|' \n",
     "    return arch_str\n",
     "\n",
-    "filename = '210943.txt'\n",
+    "filename = '211035.txt'\n",
     "with open('./output_graphs/' + filename, 'r') as f:\n",
     "    texts = f.read()\n",
     "    df = process_graph_data(texts)\n",
@@ -48090,10 +48110,11 @@
     "            valid += 1\n",
     "            arch_str = nodes_to_arch_str(nodes)\n",
     "            index = api.query_index_by_arch(arch_str)\n",
-    "            results = api.query_by_index(index, 'cifar10', hp='200')\n",
-    "            print(results)\n",
-    "            result = results[888].get_eval('ori-test')\n",
-    "            acc = result['accuracy']\n",
+    "            # results = api.query_by_index(index, 'cifar10', hp='200')\n",
+    "            # print(results)\n",
+    "            # result = results[888].get_eval('ori-test')\n",
+    "            res = api.get_more_info(index, 'cifar10', None, hp=200, is_random=False)\n",
+    "            acc = res['test-accuracy']\n",
     "            scores.append((index, acc))\n",
     "            if acc < 90:\n",
     "                dist['<90'] += 1\n",
@@ -48107,8 +48128,6 @@
     "                dist['<94'] += 1\n",
     "            else:    \n",
     "                dist['>94'] += 1\n",
-    "\n",
-    "\n",
     "        else:\n",
     "            not_valid += 1\n",
     "    with open('./output_graphs/' + filename + '.json', 'w') as f:\n",
@@ -48116,6 +48135,10 @@
     "    print(scores)\n",
     "    print(valid, not_valid)\n",
     "    print(dist)\n",
+    "    print(\"mean: \", np.mean([x[1] for x in scores]))\n",
+    "    print(\"max: \", np.max([x[1] for x in scores]))\n",
+    "    print(\"min: \", np.min([x[1] for x in scores]))\n",
+    "        \n",
     "\n"
    ]
   },