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You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | histogram = "\n" |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | return _make_dinov2_linear_depther( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | lambda x: torch.flip(x, dims=[-2]), |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | mask_other: float = 0.0, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | resnet_pre_norm: bool = True, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | voice = request.form.get("voice") |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | positions = np.vstack([vertices['x'][idx], vertices['y'][idx], vertices['z'][idx]]).T if 'x' in vertices else None |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | [1, 1, 1, 1], |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | print(' > padded vocab (size: {}) with {} dummy tokens ' |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | shuffle=False) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | Example: |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | for idx, key in enumerate(cam_extrinsics): |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | parser.add_argument("--inter_dim", type=int, default=128) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | focal_length_x = intr.params[0] |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | groups=32, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | total_depth_errors[5]/total_frame, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | else z_pre.split([self.hidden_size, self.hidden_size, self.hidden_size], dim=1) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | eval_freq: int = 5, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | parser.add_argument('--optim', type=str, default='adam', |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | return CausalLMOutputWithPast(loss=loss, logits=logits, past_key_values=outputs.past_key_values, hidden_states=outputs.hidden_states) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | tokenizer: str = "nltk", |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | linear_scaled_lr = config.TRAIN.BASE_LR * config.DATA.BATCH_SIZE * dist.get_world_size() / 512.0 |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | coqui_source_emb = speaker_manager.encoder.compute_embedding(source_wav) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | return text |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | samples.append( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | case _: |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | model_config.in_channels = ( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | def prepare_inputs_for_generation_cd( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | def getOutline(self, htmltree): |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | best_probs = new_probs |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | "Your input is invalid", ephemeral=True |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | upsample_size=None, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | d["id"] = itemA.get("id", len(results)) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | sw.add_scalar("Validation/Phase_Time_Difference_Loss", val_PTD_err, steps) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | re.escape("['ln_f']['bias']"), |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | elif self.text_branch_type == "bert":
|
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | layers=[0, 1, 2, 3], |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self.inner_cross_attn = CrossAttention( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | attentions=outputs.attentions, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | stm_capacity: int = 5, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | icvf_rm_rewards_list = defaultdict(list) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | val_loss = validate(fabric, model, val_data, tokenizer, max_iters=eval_iters) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | eval_result = trainer.evaluate(eval_dataset=eval_dataset, metric_key_prefix="eval_"+eval_set_name) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | mask_results = self._mask_forward( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self.model = DDP(self.model, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | entry = tk.Entry(row, bg='white', fg='black') |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | **vector_store_params, documents=documents, service_context=service_context |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self.set_device() |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | state_dict = torch.load(f) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | samples, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | dataset_kwargs, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | loader_train, loader_val = build_dataloaders(cfg, settings) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | flow.set_cleanup() |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | geodesic.append(geo) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | return tasks |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | assert tagged_text[1].rt[0] == "て" |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | cb_role.add_to_policy(iam.PolicyStatement( |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | vis_results = [] |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | ax[1].set_title("QQ-Plot real data") |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self.enableButtons() |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | assert grid.shape == (3 + 3 * 6, 24, 24, 24) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | heuristic: Optional[Callable] = None, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | device = torch.device('cuda:7' if torch.cuda.is_available() else 'cpu') |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | rotation_node_mask, torsion_updates) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | return np.pad(feat, pad_width, 'constant', constant_values=0) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | requires_grad=False).to(x.device) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | else: |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | sys.stdout.flush() |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | port = request.args.get(key='port', type=int) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | plot_discrete: bool = False, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | cols = ["Top K Scores", "Top K Strings"] |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | newdata = [] |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | video = None |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | load_best_model_at_end=True, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | for key in optional_keys: |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | {util.OKGREEN}██████ █████ ████ /'_` | /'_`\ /'_`\( '_`\ | | /'_`\/' _ `\/',__) {util.ENDC} |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | chat_prompt = ChatPromptTemplate.from_messages([human_message_prompt]) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | token = tokens.pop(0) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | parser.add_argument("-task_name", type=str, default="ai-sam-ViT-H") |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | f.write("Completion Input stream:" + prompt) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | help='config file with all hyper-params & paths', required=True) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | def has_delete_permission(self, request, obj=None): |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | text_hint += f'''Get response successfully \n''' |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | debug.set_debug_status(config) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | classifications = torch.cat([self.ClassHead[i](feature) for i, feature in enumerate(features)], dim=1) |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | send_amount_ton = State() |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | 6. No Tag: Input whatever you want and CLICK **Send** without any tagging |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | tail_hidden_dim = d_model // 2 |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request. |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | for offset in tqdm.tqdm(range(startframe, endframe)): |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | if train_config.run_validation: |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | "points": positions, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | embedding_dim=embedding_dim, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | self._config = config |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | key = key.replace("k_proj.", "key_proj.") |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | height=config.height, |
You will be given python files from a code repository, with the current file being shown last. Your task is to predict the next line of code in the current file.
NOTE: You should only predict the next line in the current file. Do not produce more than one line, and do not provide any explanation.
====REPOSITORY====
# ... | height: 1fr; |
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