get: get the record by the id. Args: record_id: the id of the record. collection: the name of the collection

Execute an action in the browser environment and return the observation.

Write intermediate results to temporary log file

Search Bing and return the results formatted in Markdown. If a Bing API key is available, the API is used to perform the search. If no API key is avai

communicate with docker container and execute command, support stream output Args: command: the command to execu

Train for specified number of epochs. Args: num_epochs: Number of epochs to train for Returns:

Evaluate model Args: model: Diffusion model data: PyG data object mask: Evaluation mask device: Computing de

count: count the number of records in the memery. Args: collection_name: the name of the collection to count.

Register a page text converter.

Sets the text content of the current page.

Add a node, return its node_id if it exists, otherwise create a new node. Parameters: node_name (str): The node name.

Evaluate model performance. Args: num_samples: Number of samples for FID calculation Returns:

Normalize title for file naming

Register a page text converter.

Load checkpoint data if exists

Load and preprocess graph dataset Args: name (str): Dataset name (Cora, CiteSeer, or PubMed) normalize_features (bool):

Save checkpoint data

Compute accuracy for node classification. Args: y_pred (torch.Tensor): Model predictions y_true (torch.Tensor): Ground truth

Get checkpoint directory path for the target paper

Train for one epoch Args: model: Diffusion model data: PyG data object optimizer: PyTorch optimizer device:

Append a unique non-None, non-empty extension to a list of extensions.

Append a unique non-None, non-empty extension to a list of extensions.

Create data loaders for training and testing. Args: data_dir (str): Directory containing dataset batch_size (int): Batch size

Get training, validation and test masks Args: data: PyG data object Returns: train_mask: Training mask

Converts a Python function into a JSON-serializable dictionary that describes the function's signature, including its name, description,

Create data loaders for CIFAR-10 dataset.

Randomly select a writing template from the templates directory

convert string to bool

Get the current state of the browser, including the header and content.

Evaluate model by generating samples and calculating FID score

初始化.env文件如果不存在

Train for one epoch. Args: epoch: Current epoch number Returns: dict: Dictionary contain

Helper function that converts and HTML string.

Helper function that converts and HTML string.

Get the current state of the browser, including the header and content.

Create a Markdown hyperlink, escaping the URLs as appropriate. Args: anchor: The anchor text of the hyperlink href: T

Add an edge from node u to node v, and add or update node attributes at the same time. Parameters: u (str): The start no

Compute combined loss with classification and edge regularization. Args: pred (torch.Tensor): Model predictions labels (torch

Create adjacency matrices for heterogeneous graphs

Create a file with the given path and content. Use this function when there is a need to create a new file with initial content. Args:

Convert edge_index to adjacency matrix. Args: edge_index (torch.Tensor): Edge index tensor of shape [2, E] num_nodes (int): N

递归查找具有特定class的节点

Load Yelp dataset

Load a dataset from PyTorch Geometric. Args: dataset_name (str): Name of the dataset ('Cora', 'CiteSeer', or 'PubMed') Retur

query: query the memery. Args: query_texts: the query texts to search in the memery. collection: the name of

Sets the address of the current page. This will result in the page being fetched via the underlying requests session. Arguments:

Use puremagic (a Python implementation of libmagic) to guess a file's extension based on the first few bytes.

Use puremagic (a Python implementation of libmagic) to guess a file's extension based on the first few bytes.

添加或更新单个环境变量 Args: key: 环境变量名 value: 环境变量值 from_frontend: 是否来自前端配置，默认为True

add_query: add the queries to the memery. Args: queries: the queries to add to the memery. Should be in the format of

Calculate FID score between real and generated images

Create a directory if it does not exist. Use this function when there is a need to create a new directory. Args: path: The path of th

过滤掉完全空的对话记录，并处理部分空内容

Fuse all subsections into one complete section

获取节点内所有的链接