Plot training and validation curves.

Read content from an existing section file

Read content from an existing section file

Read content from an existing section file

统一的注册装饰器 Args: type: 注册类型，"tool" 或 "agent" name: 可选的注册名称

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

Generate samples using Euler method

Compute velocity field v_θ(t, x_t)

将env注入到工具函数中的装饰器

Encoder network for VAE. Args: in_channels (int): Number of input channels latent_dim (int): Dimension of lat

check if meet challenge Examples: _checkMeetChallenge()

Extract text using Docling backend.

Search for matches between the starting viewport looping when reaching the end.

Fix the issue when some LLM would NOT return the stopword.

处理 API 速率限制

Convert a local path to a docker path local_path: the local path to convert, like `{local_workplace}/downloads/xxx` docker_path: the dock

Calculate accuracy between predictions and ground truth Args: y_pred (torch.Tensor): Predicted logits y_true (torch.Tensor):

将指定目录下的所有代码文件添加到内存中。 Args: directory (str): 要添加的代码文件所在的目录路径

Anonymize text content

Calculate inception score

Calculate sample entropy score

Calculate activation statistics for FID score. Args: images: Batch of images Returns: tuple: Mean and

Calculate activation statistics (mean & covariance) for given images

Execute a command in the system shell. Use this function when there is a need to run a system command, and execute programs. Args: co

Compute f_θ(t, x_t) = x_t + (1-t)v_θ(t, x_t)

Compute f_θ(t, x_t) = x_t + (1-t)v_θ(t, x_t)

Find nearest codebook vector using rotated encoder output to improve gradient propagation.

Scroll to the next viewport that matches the query

get the meta data of the arxiv paper Args: arxiv_id: the arxiv id of the paper, can be the full url or the id (e.g. '2305.02759'

f""" Get the current branch of the 'metachain'.

判断环境变量是否与API相关 Args: key: 环境变量名 Returns: bool: 是否与API相关

加载环境变量并返回字典格式 Returns: dict: 环境变量字典，每个值为一个包含值和来源的元组 (value, source)

Log LLM interaction details

Symmetrically normalize adjacency matrix

Convert a local file path to a file:/// URI, update the address, visit the page, and return the contents of the viewport.

Move the viewport down one page, if possible.

Move the viewport up one page, if possible.

peek: peek the memery. Args: collection: the name of the collection to peek. n_results: the number of results

Process interaction data and convert to matrix format

Query the code memory. Args: query_text (str): The query text n_results (int): The number of results

Interface function for PDF reading.

Run comprehensive model evaluation

Run a single experiment with enhanced model.

Run a python script. Args: code_path: The absolute or relative path (the relative path is from the root of the workplace `/workplace

Run sensitivity analysis experiment with given parameters

搜索代码

Search GitHub public repositories based on a keyword. :param query: The query to search for in repository names or descriptions. :param