Work with another dataset: KeyError: 'n_replicates'

I am going to spam issues to have ourselves a memory of common log errors and solutions for future documentation.

I am trying to work with dnadna with another dataset:
Here are the steps I did:
Command: dnadna simulation init cattle
=> Then, modified cattle/cattle_simulation_config.yml (find in attached file)
Command: dnadna init --simulation-config=cattle/cattle_simulation_config.yml
=> Then, modified cattle/cattle_training_config.yml (find in attached file)
Command: dnadna --debug preprocess cattle/cattle_training_config.yml

log error: KeyError: 'n_replicates'

$ dnadna --debug preprocess cattle/cattle_training_config.yml
18/05/2020 17:29:04; INFO;  Removing scenarios with:                                                                                                                                          
18/05/2020 17:29:04; INFO;   - Missing replicates                                                                                                                                             
18/05/2020 17:29:04; INFO;  ...                                                                                                                                                               
18/05/2020 17:29:04; INFO;  Using 1 CPU for checking scenarios                                                                                                                                
  0%|                                                                                                                                                          | 0/2000 [00:00<?, ?scenario/s]an unexpected error occurred: 'n_replicates'; run again with --debug to view the full traceback
an unexpected error occurred: 'n_replicates'; run again with --debug to view the full traceback
multiprocessing.pool.RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4736, in get_value
    return libindex.get_value_box(s, key)
  File "pandas/_libs/index.pyx", line 51, in pandas._libs.index.get_value_box
  File "pandas/_libs/index.pyx", line 47, in pandas._libs.index.get_value_at
  File "pandas/_libs/util.pxd", line 98, in pandas._libs.util.get_value_at
  File "pandas/_libs/util.pxd", line 83, in pandas._libs.util.validate_indexer
TypeError: 'str' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 219, in _check_scenario_wrapped
    return self.check_scenario(*scenario)
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 144, in check_scenario
    n_replicates = int(scenario['n_replicates'])
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/series.py", line 1068, in __getitem__
    result = self.index.get_value(self, key)
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4744, in get_value
    raise e1
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4730, in get_value
    return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
  File "pandas/_libs/index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
  File "pandas/_libs/index.pyx", line 88, in pandas._libs.index.IndexEngine.get_value
  File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'n_replicates'
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/pjobic/anaconda3/envs/dnadna/bin/dnadna", line 11, in <module>
    load_entry_point('dnadna', 'console_scripts', 'dnadna')()
  File "/home/pjobic/Work/DNADNA/master/dnadna/utils/__init__.py", line 821, in main
    raise exc
  File "/home/pjobic/Work/DNADNA/master/dnadna/utils/__init__.py", line 813, in main
    ret2 = cls.run_subcommand(args)
  File "/home/pjobic/Work/DNADNA/master/dnadna/utils/__init__.py", line 782, in run_subcommand
    return command_cls.main(command[1:], namespace=args)
  File "/home/pjobic/Work/DNADNA/master/dnadna/utils/__init__.py", line 821, in main
    raise exc
  File "/home/pjobic/Work/DNADNA/master/dnadna/utils/__init__.py", line 805, in main
    ret = cls.run(args)
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 675, in run
    progress_bar=True)
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 450, in prepare_training_run
    progress_bar=progress_bar)
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 313, in preprocess_scenario_params
    for idx, result in enumerate(bar):
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/tqdm/std.py", line 1097, in __iter__
    for obj in iterable:
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 277, in check_scenarios
    for result in iter_results():
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 269, in iter_results
    param_iter):
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/multiprocessing/pool.py", line 748, in next
    raise value
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/multiprocessing/pool.py", line 121, in worker
    result = (True, func(*args, **kwds))
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 219, in _check_scenario_wrapped
    return self.check_scenario(*scenario)
  File "/home/pjobic/Work/DNADNA/master/dnadna/data_preprocessing.py", line 144, in check_scenario
    n_replicates = int(scenario['n_replicates'])
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/series.py", line 1068, in __getitem__
    result = self.index.get_value(self, key)
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4744, in get_value
    raise e1
  File "/home/pjobic/anaconda3/envs/dnadna/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4730, in get_value
    return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))
  File "pandas/_libs/index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value
  File "pandas/_libs/index.pyx", line 88, in pandas._libs.index.IndexEngine.get_value
  File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'n_replicates'
  0%|                                                                                                                                                          | 0/2000 [00:00<?, ?scenario/s]

files:

cattle_simulation_config.yml

cattle_training_config.yml

Setup:

data_root: /home/pjobic/Work/DNADNA/notebooks/data/cattle
Format: data_root/scenario_XXX
dataset_path_on_titanic: titanic:/home/tau/thsanche/data/cattle/scenario_{0_to_99}
working directory: /home/pjobic/Work/DNADNA/master