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# Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pickle
import pandas as pd
from omegaconf import OmegaConf
from nemo.collections.common.tokenizers.column_coder import ColumnCodes
from nemo.core.config import hydra_runner
from nemo.utils import logging
@hydra_runner(config_path="conf", config_name="tabular_data_tokenizer")
def main(cfg) -> None:
logging.info("\n\n************** Experiment configuration ***********")
logging.info(OmegaConf.to_yaml(cfg))
table = pd.read_csv(cfg.table_csv_file)
example_arrays = {}
for col in cfg.table_structure:
col_name = col['name']
example_arrays[col_name] = table[col_name].dropna().unique()
cc = ColumnCodes.get_column_codes(cfg.table_structure, example_arrays)
with open(cfg.tokenizer_file, 'wb') as handle:
pickle.dump(cc, handle)
if __name__ == '__main__':
main()
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