Bump version to 4.0.1

gptc/model.py

@@ -70,7 +70,9 @@ class Model:
     def get(self, token: str) -> Dict[str, float]:
         try:
             weights = self.weights[
-                gptc.tokenizer.hash_single(gptc.tokenizer.normalize(token))
+                gptc.tokenizer.hash_single(
+                    gptc.tokenizer.normalize(token), self.hash_algorithm
+                )
             ]
         except KeyError:
             return {}
@@ -79,7 +81,7 @@ class Model:
             for index, category in enumerate(self.names)
         }
 
-    def serialize(self, file: BinaryIO):
+    def serialize(self, file: BinaryIO) -> None:
         file.write(b"GPTC model v5\n")
         file.write(
             json.dumps(
@@ -132,7 +134,7 @@ def deserialize(encoded_model: BinaryIO) -> Model:
 
     weight_code_length = 6 + 2 * len(names)
 
-    weights: Dict[int : List[int]] = {}
+    weights: Dict[int, List[int]] = {}
 
     while True:
         code = encoded_model.read(weight_code_length)

gptc/tokenizer.py

@@ -1,6 +1,6 @@
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-from typing import List, Union, Callable
+from typing import List, Union, Callable, Any, cast
 import hashlib
 import emoji
 import unicodedata
@@ -45,13 +45,13 @@ def tokenize(text: str, max_ngram_length: int = 1) -> List[str]:
         return ngrams
 
 
-def hash_single(token: str, hash_function: Callable) -> int:
+def _hash_single(token: str, hash_function: type) -> int:
     return int.from_bytes(
         hash_function(token.encode("utf-8")).digest()[:6], "big"
     )
 
 
-def hash(tokens: List[str], hash_algorithm: str) -> List[int]:
+def _get_hash_function(hash_algorithm: str) -> type:
     if hash_algorithm in {
         "sha224",
         "md5",
@@ -68,11 +68,19 @@ def hash(tokens: List[str], hash_algorithm: str) -> List[int]:
         "shake_128",
         "sha3_384",
     }:
-        hash_function = getattr(hashlib, hash_algorithm)
+        return cast(type, getattr(hashlib, hash_algorithm))
-        return [hash_single(token, hash_function) for token in tokens]
     else:
         raise ValueError("not a valid hash function: " + hash_algorithm)
 
 
+def hash_single(token: str, hash_algorithm: str) -> int:
+    return _hash_single(token, _get_hash_function(hash_algorithm))
+
+
+def hash(tokens: List[str], hash_algorithm: str) -> List[int]:
+    hash_function = _get_hash_function(hash_algorithm)
+    return [_hash_single(token, hash_function) for token in tokens]
+
+
 def normalize(text: str) -> str:
     return " ".join(tokenize(text, 1))

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "gptc"
-version = "4.0.0"
+version = "4.0.1"
 description = "General-purpose text classifier"
 readme = "README.md"
 authors = [{ name = "Samuel Sloniker", email = "sam@kj7rrv.com"}]