




import sys

from transformers import AutoTokenizer


SCREAMING_SNAKE_CASE__	:				List[Any]    =       sys.argv[1]
SCREAMING_SNAKE_CASE__	:				Any    =       sys.argv[2]
SCREAMING_SNAKE_CASE__	:				Dict    =       int(sys.argv[3])

SCREAMING_SNAKE_CASE__	:				int    =       0

SCREAMING_SNAKE_CASE__	:				Optional[int]    =       AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, 'rt') as f_p:
       for line in f_p:
              SCREAMING_SNAKE_CASE__	:				Dict    =       line.rstrip()

              if not line:
                     print(line)
                     SCREAMING_SNAKE_CASE__	:				Dict    =       0
                     continue

              SCREAMING_SNAKE_CASE__	:				Optional[Any]    =       line.split()[0]

              SCREAMING_SNAKE_CASE__	:				Tuple    =       len(tokenizer.tokenize(token))

              # Token contains strange control characters like \x96 or \x95
              # Just filter out the complete line
              if current_subwords_len == 0:
                     continue

              if (subword_len_counter + current_subwords_len) > max_len:
                     print('')
                     print(line)
                     SCREAMING_SNAKE_CASE__	:				str    =       current_subwords_len
                     continue

              subword_len_counter += current_subwords_len

              print(line)












# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/






