r""" Returns: the number of missing edge and the rate of missing edge.

based on claim 3 in the paper, lambda^2 + mu^2/gamma = 1 + epsilon. 1/gamma = p/n longer axis: 1 shorter axis: 1/gamma.

Parse conditions param to generate ``ConfigSpace.conditions`` Condition parameters: EqualsCondition, NotEqualsCondition, \ LessThanCondi

Populate ``${split}_data``, ``${split}_loader`` and \ ``num_${split}_data`` for different data splits

To partition the clients into groups according to the client information Arguments: :returns: a iteration of candida

Args: loss_list: the list of loss regrading the target data outdir: the directory to store the loss

Preprocess for: (1) Global evaluation (merge test data). (2) Global mode (train with centralized setting, merge all data).

Apply function to all files in input_dir and save the resulting ouput files in output_dir.

Reconstruct the original training data and label. Args: model: The model used in FL; Type: object original_i

By default, all internal models adopt the same hook_set. Extension Users can override this function to register customized

before optim.step(), regularize the gradients based on para diff

This function is to optimize FedHPO problem by scheduler. The method is decided by `cfg.hpo.scheduler`. Args: scheduler: Schedul

return (bleu, len_ratio) pair

This function is referred to https://grpc.io/docs/languages/python/basics/#starting-the-server