Upload dna_tokenizer_fast.py
Browse files- dna_tokenizer_fast.py +57 -0
dna_tokenizer_fast.py
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from transformers import RobertaTokenizerFast
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# split the dna seq by len
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# AAGTGGCAGA -----> AA, GT, GG, CA, GA
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class DNATokenizerFast(RobertaTokenizerFast):
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def __init__(self, vocab_file=None, merges_file=None, k_mer=2, stride=1,
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errors="replace",
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bos_token="<s>",
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eos_token="</s>",
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sep_token="</s>",
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cls_token="<s>",
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unk_token="<unk>",
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pad_token="<pad>",
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mask_token="<mask>",
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add_prefix_space=False,
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**kwargs
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):
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self.k_mer = k_mer
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self.stride = stride
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self.model_max_length = 1000000
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super().__init__(
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vocab_file=vocab_file,
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merges_file=merges_file,
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errors=errors,
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bos_token=bos_token,
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eos_token=eos_token,
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unk_token=unk_token,
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sep_token=sep_token,
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cls_token=cls_token,
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pad_token=pad_token,
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mask_token=mask_token,
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add_prefix_space=add_prefix_space,
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**kwargs,
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)
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def cut_and_encode(self, sequence, add_special_tokens):
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seq_len = ((int)((len(sequence)-self.k_mer) / self.stride)) * self.stride
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tokens = [sequence[i:i + self.k_mer] for i in range(0, seq_len + 1, self.stride)]
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token_ids = [self._convert_token_to_id(token) for token in tokens]
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if add_special_tokens:
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token_ids = [self.cls_token_id] + token_ids + [self.eos_token_id]
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return tokens, token_ids
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def _convert_token_to_id(self, token):
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index = self._tokenizer.token_to_id(token)
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if index:
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return index
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if token == '':
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return self.pad_token_id
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return self.unk_token_id
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def __call__(self, seq_list, add_special_tokens=False):
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token_ids_list = []
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for seq in seq_list:
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_, token_ids = self.cut_and_encode(seq, add_special_tokens)
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token_ids_list.append(token_ids)
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return {"input_ids": token_ids_list}
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