Build resource when request in real.

Checks whether CP is the codepoint of a CJK character.

Checks whether `chars` is a control character.

Checks whether `chars` is a punctuation character.

Checks whether `chars` is a whitespace character.

Launch a single task. Args: task (BaseTask): Task to launch. Returns: tuple[str, int]: Task name and exit co

Launch a single task. Args: cfg (ConfigDict): Task config. random_sleep (bool): Whether to sleep for a random time be

Launch a single task. Args: task_cfg (ConfigDict): Task config. random_sleep (bool): Whether to sleep for a random ti

Launch a single task. Args: cfg (ConfigDict): Task config. random_sleep (bool): Whether to sleep for a random time be

Load test dataset and apply postprocessing if needed.

加载 ground truth 元素和材料

Load model predictions from files.

Loads the weights from either a url or a local file. If from url, Args: weights_url: a url for the weights weights_file: a l

Fill the arrays above.

Recursively go through dictionary

Output summary dataframe to file. Args: output_path (str): Output path timestamp (str): Timestamp for file suffix

The function reads the numerical results of evaluations from the output folder based on the configuration file, and ultimately returns

The function reads the numerical results of evaluations from the output folder based on the configuration file, and ultimately returns

Postprocess for final scores. Args: scores (dict): Dict of calculated scores of metrics. Returns: dict: post

Prepare evaluation dataset by calculating total number of characters and from original text and concatenating encodings into a single

Preprocess the final predictions and references to needed format. Args: predictions (List): List of predictions of each sample.

Process code completions to extract the relevant code. Args: completion (str): Code completion string. Returns:

Apply various processing steps to predictions.

Process the response to needed format. Args: datum(dict): inputs. Returns: dict: Processed response data sampl

Process the response to needed format. Args: datum(dict): inputs. Returns: dict: Processed response data sampl

Process the response to needed format. Args: datum(dict): inputs. Returns: dict: Processed response data sampl

Process the response to needed format. Args: datum(dict): inputs. Returns: dict: Processed response data sam

Returns model ranking.

Determine the truncation point in the completion based on the last line of the prompt, remove all content before that line in the comp