prepare for the python 3.10 release

.github/workflows/build_all_os.yml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ['3.7', '3.8', '3.9']
+        python-version: ['3.7', '3.8', '3.9', '3.10']
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python

README.md

@@ -3,10 +3,14 @@
 [![build](https://github.com/delftdata/valentine/actions/workflows/build.yml/badge.svg)](https://github.com/delftdata/valentine/actions/workflows/build.yml)
 [![codecov](https://codecov.io/gh/delftdata/valentine/branch/master/graph/badge.svg?token=4QR0X315CL)](https://codecov.io/gh/delftdata/valentine)
 [![PyPI version](https://badge.fury.io/py/valentine.svg)](https://badge.fury.io/py/valentine)
-[![Python 3.7+](https://img.shields.io/badge/python-3.7|3.8|3.9-blue.svg)](https://www.python.org/downloads/release/python-380/)
+[![Python 3.7+](https://img.shields.io/badge/python-3.7|3.8|3.9|3.10-blue.svg)](https://www.python.org/downloads/release/python-380/)
 
 A python package for capturing potential relationships among columns of different tabular datasets, which are given in the form of pandas DataFrames. Valentine is based on [Valentine: Evaluating Matching Techniques for Dataset Discovery](https://ieeexplore.ieee.org/abstract/document/9458921)
 
+## Experimental suite version
+
+The original experimental suite version of Valentine, as first published for the needs of the research paper, can be still found [here](https://github.com/delftdata/valentine/tree/v1.1).
+
 
 ## Installation instructions
 To install Valentine simply run
@@ -17,7 +21,7 @@ pip install valentine
 
 ## Installation requirements
 
-* Python>=3.7,<3.10
+* Python>=3.7,<3.11
 * For the Coma matcher it is required to have java (jre) installed
 
 
@@ -114,9 +118,6 @@ The output of the above code block is:
 'recall_at_sizeof_ground_truth': 1.0}
 
 ```
-## Experimental suite version
-
-The original experimental suite version of Valentine, as first published for the needs of the research paper, can be still found [here](https://github.com/delftdata/valentine/tree/v1.1).
 
 ## Project page
 

requirements.txt

@@ -1,6 +1,6 @@
 # algorithms
-numpy==1.21.2
-scipy==1.7.1
+numpy==1.21.4
+scipy==1.7.2
 pandas==1.3.4
 nltk==3.6.5
 snakecase==1.0.1

setup.py

@@ -6,19 +6,19 @@
 
 setuptools.setup(
     name='valentine',
-    version='0.1.3',
+    version='0.1.4',
     description='Valentine Matcher',
     license_files=('LICENSE',),
     author='Delft Data',
     author_email='[email protected]',
     maintainer='Delft Data',
     maintainer_email='[email protected]',
     url='https://delftdata.github.io/valentine/',
-    download_url='https://github.com/delftdata/valentine/archive/refs/tags/v0.1.3.tar.gz',
+    download_url='https://github.com/delftdata/valentine/archive/refs/tags/v0.1.4.tar.gz',
     packages=setuptools.find_packages(exclude=('tests*', 'examples*')),
     install_requires=[
         'numpy>=1.21,<2.0',
-        'scipy>=1.6,<2.0',
+        'scipy>=1.7,<2.0',
         'pandas>=1.3,<1.4',
         'nltk>=3.6,<3.7',
         'snakecase>=1.0,<2.0',
@@ -34,7 +34,7 @@
     ],
     keywords=['matching', 'valentine', 'schema matching', 'dataset discovery', 'coma', 'cupid', 'similarity flooding'],
     include_package_data=True,
-    python_requires='>=3.7,<3.10',
+    python_requires='>=3.7,<3.11',
     long_description=long_description,
     long_description_content_type='text/markdown'
 )