From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
funasr/tokenizer/abs_tokenizer.py | 71 +++++++++++++++++++----------------
1 files changed, 38 insertions(+), 33 deletions(-)
diff --git a/funasr/tokenizer/abs_tokenizer.py b/funasr/tokenizer/abs_tokenizer.py
index d2fc3f0..e125d29 100644
--- a/funasr/tokenizer/abs_tokenizer.py
+++ b/funasr/tokenizer/abs_tokenizer.py
@@ -1,14 +1,10 @@
-from abc import ABC
-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 json
import numpy as np
+from abc import ABC
+from pathlib import Path
+from abc import abstractmethod
+from typing import Union, Iterable, List, Dict
+
class AbsTokenizer(ABC):
@abstractmethod
@@ -21,22 +17,31 @@
class BaseTokenizer(ABC):
- def __init__(self, token_list: Union[Path, str, Iterable[str]]=None,
- unk_symbol: str = "<unk>",
- **kwargs,
- ):
-
+ def __init__(
+ self,
+ token_list: Union[Path, str, Iterable[str]] = None,
+ unk_symbol: str = "<unk>",
+ **kwargs,
+ ):
+
if token_list is not None:
- if isinstance(token_list, (Path, str)):
+ if isinstance(token_list, (Path, str)) and token_list.endswith(".txt"):
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)
-
+ elif isinstance(token_list, (Path, str)) and token_list.endswith(".json"):
+ token_list = Path(token_list)
+ self.token_list_repr = str(token_list)
+ self.token_list: List[str] = []
+
+ with open(token_list, "r", encoding="utf-8") as f:
+ self.token_list = json.load(f)
+
else:
self.token_list: List[str] = list(token_list)
self.token_list_repr = ""
@@ -45,44 +50,44 @@
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"
- )
+ 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):
+
+ def encode(self, text, **kwargs):
tokens = self.text2tokens(text)
text_ints = self.tokens2ids(tokens)
-
+
return text_ints
-
+
def decode(self, text_ints):
- return self.ids2tokens(text_ints)
-
+ token = self.ids2tokens(text_ints)
+ text = self.tokens2text(token)
+ return text
+
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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