Relax numpy dependency version for better competibility

README.md

@@ -342,7 +342,7 @@ print(f'Run time: {time:.2f}s')
 rules.to_csv('output.csv')
 ```
 
-**Note:** You may need to download stopwords and the punkt tokenizer from nltk by running `import nltk; nltk.download('stopwords'); nltk.download('punkt')`.
+**Note:** You may need to download stopwords and the punkt_tab tokenizer from nltk by running `import nltk; nltk.download('stopwords'); nltk.download('punkt_tab')`.
 
 For a full list of examples see the [examples folder](https://github.com/firefly-cpp/NiaARM/tree/main/examples)
 in the GitHub repository.

docs/getting_started.rst

@@ -285,7 +285,7 @@ added to the :mod:`niaarm.mine` module.
         print('No rules generated')
         print(f'Run time: {time:.2f}s')
 
-**Note:** You may need to download stopwords and the punkt tokenizer from nltk by running `import nltk; nltk.download('stopwords'); nltk.download('punkt')`.
+**Note:** You may need to download stopwords and the punkt_tab tokenizer from nltk by running `import nltk; nltk.download('stopwords'); nltk.download('punkt_tab')`.
 
 **Output:**
 

docs/requirements.txt

@@ -1,6 +1,6 @@
 niapy>=2.5.2,<3.0.0
-numpy>=1.26.1,<2.0.0
-pandas>=2.1.1,<3.0.0
+numpy>=1.22.4
+pandas>=2.2.2,<3.0.0
 nltk>=3.8.1,<4.0.0
 plotly>=5.22.0,<6.0.0
 scikit-learn>=1.5.1,<2.0.0

examples/text_mining.py

@@ -7,13 +7,13 @@
 df = pd.read_json("datasets/text/artm_test_dataset.json", orient="records")
 documents = df["text"].tolist()
 
-# create a Corpus object from the documents (requires nltk's punkt tokenizer and the stopwords list)
+# create a Corpus object from the documents (requires nltk's punkt_tab tokenizer and the stopwords list)
 try:
     corpus = Corpus.from_list(documents)
 except LookupError:
     import nltk
 
-    nltk.download("punkt")
+    nltk.download("punkt_tab")
     nltk.download("stopwords")
     corpus = Corpus.from_list(documents)
 

pyproject.toml

@@ -20,8 +20,8 @@ include = [
 [tool.poetry.dependencies]
 python = ">=3.9,<3.14"
 niapy = "^2.5.2"
-numpy = "^1.26.1"
-pandas = "^2.1.1"
+numpy = ">=1.22.4"
+pandas = "^2.2.2"
 nltk = "^3.8.1"
 tomli = { version = "^2.0.1", python = "<3.11" }
 plotly = "^5.22.0"

tests/test_text_mining.py

@@ -10,7 +10,7 @@
 
 class TestTextMining(TestCase):
     def setUp(self):
-        nltk.download("punkt")
+        nltk.download("punkt_tab")
         nltk.download("stopwords")
         ds_path = os.path.join(
             os.path.dirname(__file__), "test_data", "artm_test_dataset.json"