Updating version and support (#788)

* Updating version and support

* correction randint new support

* Update model_validation.py

.github/workflows/ci.yaml

@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-20.04
     strategy:
       matrix:
-        python-version: [3.9, "3.10", 3.11]
+        python-version: [3.9, "3.10", 3.11, 3.12]
 
     steps:
       - name: Checkout repository

.github/workflows/master-codecov.yml

@@ -9,7 +9,7 @@ jobs:
     runs-on: ubuntu-20.04
     strategy:
       matrix:
-        python-version: [3.9, "3.10", 3.11]
+        python-version: [3.9, "3.10", 3.11, 3.12]
 
     steps:
       - name: Checkout repository

setup.py

@@ -23,7 +23,7 @@
 
 setuptools.setup(
     name="verticapy",
-    version="1.0.0-beta.2",
+    version="1.0.0",
     author="Badr Ouali",
     author_email="[email protected]",
     url="https://github.com/vertica/VerticaPy",
@@ -35,7 +35,7 @@
     long_description=long_description,
     long_description_content_type="text/markdown",
     packages=setuptools.find_packages(),
-    python_requires=">=3.8",
+    python_requires=">=3.9",
     install_requires=[
         "matplotlib<=3.5.3",
         "numpy>=1.11.0",
@@ -58,8 +58,10 @@
     classifiers=[
         "Intended Audience :: Science/Research",
         "Intended Audience :: Developers",
-        "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
         "Topic :: Database",
         "License :: OSI Approved :: Apache Software License",
         "Operating System :: OS Independent",

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-envlist = py39,py310,py311
+envlist = py39,py310,py311,py312
 
 [testenv]
 passenv = *

verticapy/__init__.py

@@ -36,7 +36,7 @@
 )
 __url__: str = "https://github.com/vertica/verticapy/"
 __license__: str = "Apache License, Version 2.0"
-__version__: str = "1.0.0-beta.2"
+__version__: str = "1.0.0"
 
 from verticapy._config.config import get_option, set_option
 from verticapy._utils._sql._vertica_version import vertica_version

verticapy/core/vdataframe/_filter.py

@@ -594,7 +594,7 @@ def sample(
         assert 0 < x < 1, ValueError("Parameter 'x' must be between 0 and 1")
         if method == "random":
             random_state = conf.get_option("random_state")
-            random_seed = random.randint(-10e6, 10e6)
+            random_seed = random.randint(int(-10e6), int(10e6))
             if isinstance(random_state, int):
                 random_seed = random_state
             random_func = _seeded_random_function(random_seed)

verticapy/core/vdataframe/_machine_learning.py

@@ -906,7 +906,7 @@ def train_test_split(
         random_seed = (
             random_state
             if isinstance(random_state, int)
-            else random.randint(-10e6, 10e6)
+            else random.randint(int(-10e6), int(10e6))
         )
         random_func = _seeded_random_function(random_seed)
         q = _executeSQL(

verticapy/machine_learning/model_selection/model_validation.py

@@ -221,7 +221,9 @@ def cross_validate(
         estimator.drop()
         random_state = conf.get_option("random_state")
         random_state = (
-            random.randint(-10e6, 10e6) if not random_state else random_state + i
+            random.randint(int(-10e6), int(10e6))
+            if not random_state
+            else random_state + i
         )
         train, test = input_relation.train_test_split(
             test_size=float(1 / cv), order_by=[X[0]], random_state=random_state