


'''simple docstring'''
import pytest

from datasets import inspect_metric, list_metrics, load_metric




@pytest.fixture
def 	_A  (       A							)  ->				List[Any]:
	monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"							,set()							)




@pytest.fixture
def 	_A  (       A							)  ->				Tuple:




	class        _UpperCamelCase	:


					'''simple docstring'''


					def __init__(     self							,      a_							)    ->  Tuple:
						lowercase						:		Dict   					=		metric_id




	class        _UpperCamelCase	:


					'''simple docstring'''


					_snake_case						       =				[MetricMock(__snake_case) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

					def 	a__		(     self							)    ->  Union[str, Any]:
						return self._metrics


	monkeypatch.setattr("datasets.inspect.huggingface_hub"							,HfhMock()							)






@pytest.mark.parametrize(
    "func, args"							,[(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]							)
def 	_A  (       A							,A							,A							,A							,A							)  ->				List[Any]:
	if "tmp_path" in args:
		lowercase						:		Dict   					=		tuple(arg if arg != "tmp_path" else tmp_path for arg in args							)
	with pytest.warns(_A							,match="https://huggingface.co/docs/evaluate"							):
		func(*_A							)










"""simple docstring"""







import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
_lowerCAmelCase            =	logging.getLogger(__name__)

if __name__ == "__main__":
				_lowerCAmelCase            =	argparse.ArgumentParser(
				    description='Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'
				)
				parser.add_argument(
				    '--data_file', type=str, default='data/dump.bert-base-uncased.pickle', help='The binarized dataset.'
				)
				parser.add_argument(
				    '--token_counts_dump', type=str, default='data/token_counts.bert-base-uncased.pickle', help='The dump file.'
				)
				parser.add_argument('--vocab_size', default=3_05_22, type=int)
				_lowerCAmelCase            =	parser.parse_args()

				logger.info(F'Loading data from {args.data_file}')
				with open(args.data_file, 'rb') as fp:
								_lowerCAmelCase            =	pickle.load(fp)

				logger.info('Counting occurrences for MLM.')
				_lowerCAmelCase            =	Counter()
				for tk_ids in data:
								counter.update(tk_ids)
				_lowerCAmelCase            =	[0] * args.vocab_size
				for k, v in counter.items():
								_lowerCAmelCase            =	v

				logger.info(F'Dump to {args.token_counts_dump}')
				with open(args.token_counts_dump, 'wb') as handle:
								pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)
