

'''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
)
a   :			Union[str, Any]         = logging.getLogger(__name__)

if __name__ == "__main__":
				a   :			Optional[Any]         = 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)
				a   :			str         = parser.parse_args()

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

				logger.info("Counting occurrences for MLM.")
				a   :			Dict         = Counter()
				for tk_ids in data:
								counter.update(tk_ids)
				a   :			Optional[Any]         = [0] * args.vocab_size
				for k, v in counter.items():
								a   :			Optional[int]         = 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)


'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase    :							Any      =					{
    "configuration_chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPOnnxConfig",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
    "processing_chinese_clip": ["ChineseCLIPProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Optional[Any]      =					["ChineseCLIPFeatureExtractor"]
					lowercase    :							List[Any]      =					["ChineseCLIPImageProcessor"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase    :							Any      =					[
					    "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "ChineseCLIPModel",
					    "ChineseCLIPPreTrainedModel",
					    "ChineseCLIPTextModel",
					    "ChineseCLIPVisionModel",
					]

if TYPE_CHECKING:
					from .configuration_chinese_clip import (
					    CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    ChineseCLIPConfig,
					    ChineseCLIPOnnxConfig,
					    ChineseCLIPTextConfig,
					    ChineseCLIPVisionConfig,
					)
					from .processing_chinese_clip import ChineseCLIPProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_chinese_clip import (
										    CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ChineseCLIPModel,
										    ChineseCLIPPreTrainedModel,
										    ChineseCLIPTextModel,
										    ChineseCLIPVisionModel,
										)

else:
					import sys

					lowercase    :							List[Any]      =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

