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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====
# ... | corr = bilinear_sampler(corr, coords_lvl) |
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====
# ... | uids = text_to_uid_dict.get(obj_descrption, 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====
# ... | job_easy_ocr if not boxes else job_easy_ocr_boxes, |
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 = Net(**config['model_params']) |
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====
# ... | logger.error(f"LLM error: {e}") |
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, tokenizer = load_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====
# ... | body: FineTuningTaskCreate, |
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 get_examples_path() == local_examples_path |
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====
# ... | masks: InstanceMasks3D, |
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.running_obs = RunningNorm(self.humanoid_obs_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====
# ... | ray_fn, input_ch = get_rayparam_func(scene_info) |
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====
# ... | with Pool(processes=num_cores, initializer=init_worker) as pool: |
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====
# ... | out, target_reweighted, mix_label_mask = middle_mixup_process(out, target_reweighted, num_base_classes, |
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====
# ... | i0 = warp(i0, flow_down[:, :2] * 0.5) |
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====
# ... | print_enable_debugger() |
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====
# ... | with status(msg="Converting video to images...", spinner="bouncingBall", verbose=verbose): |
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====
# ... | response = get_gpt_response(system_prompt, user_prompt, api_key, user, 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====
# ... | config = ModelConfig(profile, static_shapes, fp32, baseline_model, prediction_type, inpaint, refit, lora, unet_hidden_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====
# ... | return cast(GzipPacked, TLObject.read(BytesIO(decompress(Bytes.read(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====
# ... | res = get_n_frag_switch(natm_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====
# ... | ddim_sigmas, ddim_alphas, ddim_alphas_prev = make_ddim_sampling_parameters(alphacums=alphas_cumprod.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====
# ... | SinusoidalPosEmb(time_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====
# ... | label_string = ppt_reader.eval_get_contents(need_text=True, need_style=True, need_position=False,need_shape_list=None,ppt=Presentation(label_path)) |
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 setup_logger("mipmap_flooding", out_log_file.__str__()) |
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====
# ... | response = chat_completion( |
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====
# ... | class VecTaskGPUWrapper(VecTaskGPU): |
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====
# ... | critic = ValueNet(critic_body, |
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====
# ... | pre_encoder = TiedBias(bias, TiedBiasPosition.PRE_ENCODER) |
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====
# ... | train_loader: torch.utils.data.dataloader.DataLoader, |
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====
# ... | {"role": "system", "content": OPENAI_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====
# ... | self.log_alpha = Scalar(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====
# ... | caption = pre_caption(ann['caption'],30) |
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====
# ... | trade_url=make_trade_url(league, beast), |
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.sparse_conv = SparseConvEncoder(self.input_feature_dim) # self.input_feature_dim = 3 -> 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====
# ... | indices_retrieved_embeddings = get_indices_retrieved_embeddings(batch,args.sequence_embeddings_location) |
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====
# ... | un_norm = get_transform('unnorm', opt, -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====
# ... | check_version(A.__version__, '1.0.3', hard=True) # version requirement |
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====
# ... | init_grid = coords_grid(b, h, w, device=correlation.device, dtype=feature0.dtype) # [B, 2, H, W]
|
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====
# ... | icon = get_icon(self.batteryLevel) |
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====
# ... | img = np2tensor(img) |
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 __init__(self, fractions: List[Fraction], cs: Homomorphic): |
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 config.peft_type in (PeftType.LORA, PeftType.ADALORA): |
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====
# ... | data = self._make_http_request(f"{self.host}{DOORS_URL}") |
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====
# ... | hotels_job = get_claude_instant_invoke_chain( |
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====
# ... | clip_pretrained, pretrained = _make_pretrained_clip_vitl16_384( |
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====
# ... | "steps": X_TIMESTEPS, |
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 prop in get_properties_list(os.path.join(setup.get_drivefs_path(), account.get_account_id())): |
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 is_main_process(): |
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====
# ... | epoch_metrics_train = EpochMetrics() |
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====
# ... | md_to_local(yq_doc_file_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====
# ... | self.window_titlebar_widget = WindowTitlebarWidget() |
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====
# ... | cost_matrix = add_position_id_range_cost(cost_matrix, current_inst_centers) |
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 mode == DifferenceGlobals.tab_index: |
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====
# ... | avg_data_time = commu_utils.average_reduce_value(cur_data_time) |
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====
# ... | tree2ppt.Tree2PPT(content,"./my_ppt_mode/"+str(int(mode)),save_path=save_path) |
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 __init__(self, completion_model:OpenAIChatModel): |
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====
# ... | content = fetch_pages(query=query) |
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====
# ... | PFNLayerV2(in_filters, out_filters, self.use_norm, last_layer=(i >= len(num_filters) - 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====
# ... | DataSource.LOCAL, |
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====
# ... | embed_documents( |
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.step = 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====
# ... | token_ct = max_tokens - int(get_token_count(system_prompt + "\n" + user_prompt) + 20) |
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.e_y = SparseEtoy(de, dy) |
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====
# ... | data_obj = util_dataset.DatasetObject(dataset=conf['dataset'],
|
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====
# ... | item_list, items, item_format = get_items('general') |
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====
# ... | "content": SYSTEM_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====
# ... | entry_info = astCore._T_entry_point_info( |
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 = [PixelNorm()] |
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====
# ... | get_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====
# ... | dataset = DummyDataset(args.data_dir, args.cache_limit_gib) |
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====
# ... | matcher_conf = match_features.confs[matcher_type] |
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====
# ... | processor = SquadV1Processor()
|
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.actor = PPOPolicy( |
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====
# ... | main_device.add_child_entity(EcojokoSensor( |
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 = Model().to(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====
# ... | nonlinearities.append(leaky_tanh) |
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====
# ... | except TimeoutError: |
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 test_flatten_of_list_with_deep_five(mock_list_with_deep_five): |
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====
# ... | ) -> SingleQueryResult: |
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====
# ... | logging.debug('Logs: %s', format_git_logs_as_string(logs)) |
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.veh_encoder = PointEncoder(config['vehicle_encoder']) |
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.tasker = build_tasker(tasker) |
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====
# ... | args.task = task_type[args.dataset] |
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====
# ... | tree_display_vulns.setPanel(html_panel_vulns % (title, image, mitre, desc, html.escape(command), external_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====
# ... | _, _, _id = get_checkpoint_id(method + "/" + setting) |
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.ddim_timesteps = make_ddim_timesteps(ddim_discr_method=ddim_discretize, num_ddim_timesteps=ddim_num_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====
# ... | tokens = tokenize(code, l.strip()) |
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 isinstance(field.info, LLMOutputInfo) or isinstance(field.info, LLMArrayElementOutputInfo): |
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====
# ... | results = transfer_manager.upload_many( |
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====
# ... | decrypt = unpad(decrypted_raw) |
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====
# ... | messages = [Message(role="user", content="hello1")] |
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.data = ReplayBuffer(action_prob_exist = True, max_size = self.args.traj_length, state_dim = state_dim, num_action = action_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====
# ... | model = KonukBilgileri |
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====
# ... | async def _get_auth(self) -> Token: |
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====
# ... | forward = normalize(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====
# ... | def __init__(self, bert: BERT, vocab_size: 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====
# ... | @with_current_site |
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====
# ... | price = Exponential.adapt_price(sold, target, limit) |
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====
# ... | meter_loss = AverageMeter('loss') |
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 not MIN_TORCH_2_1: |
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