TypeError: __init__() takes from 1 to 4 positional arguments but 5 were given

[ggiggit]

When i'm running sp_fedavg_mnist_lr_example following the tutorial (https://github.com/FedML-AI/FedML/blob/master/doc/en/simulation/examples/sp_fedavg_mnist_lr_example.md), I meet this ERROR.
Just after
python torch_fedavg_mnist_lr_one_line_example.py --cf fedml_config.yaml
It says

======== FedML (https://fedml.ai) ========
FedML version: 0.8.5
Execution path:/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/__init__.py

======== Running Environment ========
OS: Linux-5.19.0-46-generic-x86_64-with-debian-bookworm-sid
Hardware: x86_64
Python version: 3.7.4 (default, Aug 13 2019, 20:35:49) 
[GCC 7.3.0]
PyTorch version: 1.13.1+cu117
MPI4py is installed

======== CPU Configuration ========
The CPU usage is : 4%
Available CPU Memory: 12.1 G / 15.481403350830078G

======== GPU Configuration ========
NVIDIA GPU Info: <pynvml.nvml.LP_struct_c_nvmlDevice_t object at 0x7f7f0e71def0>
Available GPU memory: 5.7 G / 6.0G
torch_is_available = True
device_count = 1
device_name = NVIDIA GeForce RTX 2060

======== Network Connection Checking ========
The connection to https://open.fedml.ai is OK.
/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/boto3/compat.py:82: PythonDeprecationWarning: Boto3 will no longer support Python 3.7 starting December 13, 2023. To continue receiving service updates, bug fixes, and security updates please upgrade to Python 3.8 or later. More information can be found here: https://aws.amazon.com/blogs/developer/python-support-policy-updates-for-aws-sdks-and-tools/
  warnings.warn(warning, PythonDeprecationWarning)
The connection to AWS S3 is OK.
The connection to mqtt.fedml.ai (port:1883) is OK.
using_mlops = true
ERROR:root:Uncaught exception
Traceback (most recent call last):
  File "torch_fedavg_mnist_lr_one_line_example.py", line 5, in <module>
    fedml.run_simulation()
  File "/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/launch_simulation.py", line 16, in run_simulation
    args = fedml.init()
  File "/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/__init__.py", line 98, in init
    mlops.init(args)
  File "/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/mlops/__init__.py", line 12, in init
    mlops.init(args)
  File "/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/core/mlops/__init__.py", line 86, in init
    MLOpsRuntimeLog.get_instance(args).init_logs()
  File "/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/core/mlops/mlops_runtime_log.py", line 132, in init_logs
    datefmt="%a, %d %b %Y %H:%M:%S")
  File "/home/ww/anaconda3/envs/fedml/lib/python3.7/site-packages/fedml/core/mlops/mlops_runtime_log.py", line 109, in __init__
    super().__init__(fmt, datefmt, style, validate)
TypeError: __init__() takes from 1 to 4 positional arguments but 5 were given

And my fedml_config.yaml is

common_args:
  training_type: "simulation"
  random_seed: 0
  config_version: "release"
  mlops_api_key: f5b88f5dca344e6faf17809139b89c48
  mlops_project_name: sp_fedavg_test
  mlops_run_name: fedml_torch_fedavg_mnist_lr_mlsys

data_args:
  dataset: "mnist"
  data_cache_dir: ~/Documents/FedML/python/fedml/data/MNIST #~/fedml_data
  partition_method: "hetero"
  partition_alpha: 0.5

model_args:
  model: "lr"

train_args:
  federated_optimizer: "FedAvg"
  client_id_list: "[]"
  client_num_in_total: 1000 
  client_num_per_round: 10
  comm_round: 200 # 3 is for quick GitHub sanity check. please change this to your own hyper-parameters (e.g., 200)
  epochs: 1
  batch_size: 10
  client_optimizer: sgd
  learning_rate: 0.03
  weight_decay: 0.001

validation_args:
  frequency_of_the_test: 5

device_args:
  using_gpu: false
  gpu_id: 0

comm_args:
  backend: "sp"

tracking_args:
  log_file_dir: ./log
  enable_tracking: false
  # When running on MLOps platform(open.fedml.ai), the default log path is at ~/fedml-client/fedml/logs/ and ~/fedml-server/fedml/logs/
  enable_wandb: false
  wandb_key: ee0b5f53d949c84cee7decbe7a629e63fb2f8408
  wandb_entity: fedml-ai
  wandb_project: simulation
  run_name: fedml_torch_fedavg_mnist_lr
  using_mlops: true

What should i do ?