From fcaf910ceb4e07a13bf2d133f46df684b069b3f0 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期三, 03 一月 2024 11:45:22 +0800
Subject: [PATCH] update online docs
---
funasr/tokenizer/abs_tokenizer.py | 73 ------------------------------------
1 files changed, 0 insertions(+), 73 deletions(-)
diff --git a/funasr/tokenizer/abs_tokenizer.py b/funasr/tokenizer/abs_tokenizer.py
index ffb6b76..fc2ccb3 100644
--- a/funasr/tokenizer/abs_tokenizer.py
+++ b/funasr/tokenizer/abs_tokenizer.py
@@ -2,86 +2,13 @@
from abc import abstractmethod
from typing import Iterable
from typing import List
-from pathlib import Path
-from typing import Dict
-from typing import Iterable
-from typing import List
-from typing import Union
-import numpy as np
class AbsTokenizer(ABC):
@abstractmethod
def text2tokens(self, line: str) -> List[str]:
raise NotImplementedError
- @abstractmethod
- def tokens2text(self, tokens: Iterable[str]) -> str:
- raise NotImplementedError
-
-
-class BaseTokenizer(ABC):
- def __init__(self, token_list: Union[Path, str, Iterable[str]],
- unk_symbol: str = "<unk>",
- **kwargs,
- ):
-
- if isinstance(token_list, (Path, str)):
- token_list = Path(token_list)
- self.token_list_repr = str(token_list)
- self.token_list: List[str] = []
-
- with token_list.open("r", encoding="utf-8") as f:
- for idx, line in enumerate(f):
- line = line.rstrip()
- self.token_list.append(line)
-
- else:
- self.token_list: List[str] = list(token_list)
- self.token_list_repr = ""
- for i, t in enumerate(self.token_list):
- if i == 3:
- break
- self.token_list_repr += f"{t}, "
- self.token_list_repr += f"... (NVocab={(len(self.token_list))})"
-
- self.token2id: Dict[str, int] = {}
- for i, t in enumerate(self.token_list):
- if t in self.token2id:
- raise RuntimeError(f'Symbol "{t}" is duplicated')
- self.token2id[t] = i
-
- self.unk_symbol = unk_symbol
- if self.unk_symbol not in self.token2id:
- raise RuntimeError(
- f"Unknown symbol '{unk_symbol}' doesn't exist in the token_list"
- )
- self.unk_id = self.token2id[self.unk_symbol]
-
- def encode(self, text):
- tokens = self.text2tokens(text)
- text_ints = self.tokens2ids(tokens)
-
- return text_ints
-
- def decode(self, text_ints):
- return self.ids2tokens(text_ints)
-
- def get_num_vocabulary_size(self) -> int:
- return len(self.token_list)
-
- def ids2tokens(self, integers: Union[np.ndarray, Iterable[int]]) -> List[str]:
- if isinstance(integers, np.ndarray) and integers.ndim != 1:
- raise ValueError(f"Must be 1 dim ndarray, but got {integers.ndim}")
- return [self.token_list[i] for i in integers]
-
- def tokens2ids(self, tokens: Iterable[str]) -> List[int]:
- return [self.token2id.get(i, self.unk_id) for i in tokens]
-
- @abstractmethod
- def text2tokens(self, line: str) -> List[str]:
- raise NotImplementedError
-
@abstractmethod
def tokens2text(self, tokens: Iterable[str]) -> str:
raise NotImplementedError
--
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