Drop support for Python 3.6, support Python 3.10

.github/workflows/ci.yaml

@@ -76,7 +76,7 @@ jobs:
     needs: [cache_nltk_data, cache_third_party]
     strategy:
       matrix:
-        python-version: [3.6, 3.7, 3.8, 3.9]
+        python-version: ['3.7', '3.8', '3.9', '3.10']
         os: [ubuntu-latest, macos-latest, windows-latest]
       fail-fast: false
     runs-on: ${{ matrix.os }}

.pre-commit-config.yaml

@@ -10,7 +10,7 @@ repos:
     rev: v2.23.3
     hooks:
     - id: pyupgrade
-      args: ["--py36-plus"]
+      args: ["--py37-plus"]
   - repo: https://github.com/ambv/black
     rev: 21.7b0
     hooks:

CONTRIBUTING.md

@@ -77,7 +77,7 @@ Summary of our git branching model:
 - Do many small commits on that branch locally (`git add files-changed`,
   `git commit -m "Add some change"`);
 - Run the tests to make sure nothing breaks
-  (`tox -e py36` if you are on Python 3.6);
+  (`tox -e py37` if you are on Python 3.7);
 - Add your name to the `AUTHORS.md` file as a contributor;
 - Push to your fork on GitHub (with the name as your local branch:
   `git push origin branch-name`);
@@ -169,7 +169,7 @@ The [`.github/workflows/ci.yaml`](https://github.com/nltk/nltk/blob/develop/.git
        - Otherwise, download all the data packages through `nltk.download('all')`.
 
   - The `test` job
-    - tests against supported Python versions (`3.6`, `3.7`, `3.8`, `3.9`).
+    - tests against supported Python versions (`3.7`, `3.8`, `3.9`).
     - tests on `ubuntu-latest` and `macos-latest`.
     - relies on the `cache_nltk_data` job to ensure that `nltk_data` is available.
     - performs these steps:

README.md

@@ -4,7 +4,7 @@
 
 NLTK -- the Natural Language Toolkit -- is a suite of open source Python
 modules, data sets, and tutorials supporting research and development in Natural
-Language Processing. NLTK requires Python version 3.6, 3.7, 3.8, or 3.9.
+Language Processing. NLTK requires Python version 3.7, 3.8, 3.9 or 3.10.
 
 For documentation, please visit [nltk.org](https://www.nltk.org/).
 

nltk/__init__.py

@@ -52,7 +52,7 @@
 # Description of the toolkit, keywords, and the project's primary URL.
 __longdescr__ = """\
 The Natural Language Toolkit (NLTK) is a Python package for
-natural language processing.  NLTK requires Python 3.6, 3.7, 3.8, or 3.9."""
+natural language processing.  NLTK requires Python 3.7, 3.8, 3.9 or 3.10."""
 __keywords__ = [
     "NLP",
     "CL",
@@ -84,10 +84,10 @@
     "Intended Audience :: Science/Research",
     "License :: OSI Approved :: Apache Software License",
     "Operating System :: OS Independent",
-    "Programming Language :: Python :: 3.6",
     "Programming Language :: Python :: 3.7",
     "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
     "Topic :: Scientific/Engineering",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "Topic :: Scientific/Engineering :: Human Machine Interfaces",

setup.py

@@ -67,7 +67,7 @@
     },
     long_description="""\
 The Natural Language Toolkit (NLTK) is a Python package for
-natural language processing.  NLTK requires Python 3.6, 3.7, 3.8, or 3.9.""",
+natural language processing.  NLTK requires Python 3.7, 3.8, 3.9 or 3.10.""",
     license="Apache License, Version 2.0",
     keywords=[
         "NLP",
@@ -95,10 +95,10 @@
         "Intended Audience :: Science/Research",
         "License :: OSI Approved :: Apache Software License",
         "Operating System :: OS Independent",
-        "Programming Language :: Python :: 3.6",
         "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
         "Topic :: Scientific/Engineering",
         "Topic :: Scientific/Engineering :: Artificial Intelligence",
         "Topic :: Scientific/Engineering :: Human Machine Interfaces",
@@ -110,7 +110,7 @@
         "Topic :: Text Processing :: Linguistic",
     ],
     package_data={"nltk": ["test/*.doctest", "VERSION"]},
-    python_requires=">=3.6",
+    python_requires=">=3.7",
     install_requires=[
         "click",
         "joblib",

tox.ini

@@ -1,9 +1,9 @@
 [tox]
 envlist =
-    py{36,37,38,39}
+    py{37,38,39,310}
     pypy
-    py{36,37,38,39}-nodeps
-    py{36,37,38,39}-jenkins
+    py{37,38,39,310}-nodeps
+    py{37,38,39,310}-jenkins
     py-travis
 
 [testenv]
@@ -51,13 +51,6 @@ deps =
 commands =
     pytest
 
-[testenv:py36-nodeps]
-basepython = python3.6
-deps =
-    pytest
-    pytest-mock
-commands = pytest
-
 [testenv:py37-nodeps]
 basepython = python3.7
 deps =
@@ -79,18 +72,17 @@ deps =
     pytest-mock
 commands = pytest
 
+[testenv:py310-nodeps]
+basepython = python3.10
+deps =
+    pytest
+    pytest-mock
+commands = pytest
+
 # Use minor version agnostic basepython, but specify testenv
 # control Python2/3 versions using jenkins' user-defined matrix instead.
 # Available Python versions: http://repository-cloudbees.forge.cloudbees.com/distributions/ci-addons/python/fc25/
 
-[testenv:py3.6.4-jenkins]
-basepython = python3
-commands = {toxinidir}/jenkins.sh
-setenv =
-	STANFORD_MODELS = {homedir}/third/stanford-parser/
-	STANFORD_PARSER = {homedir}/third/stanford-parser/
-	STANFORD_POSTAGGER = {homedir}/third/stanford-postagger/
-
 [testenv:py-travis]
 extras = all
 setenv =

web/dev/local_testing.rst

@@ -25,10 +25,10 @@ Please consult https://tox.wiki for more info about the tox tool.
 Examples
 --------
 
-Run tests for python 3.6 in verbose mode; executing only tests
+Run tests for python 3.7 in verbose mode; executing only tests
 that failed in the last test run::
 
-    tox -e py36 -- -v --failed
+    tox -e py37 -- -v --failed
 
 Run tree doctests for all available interpreters::
 
@@ -42,7 +42,7 @@ By default, numpy, scipy and scikit-learn are installed in tox virtualenvs.
 This is slow, requires working build toolchain and is not always feasible.
 In order to skip numpy & friends, use ``..-nodeps`` environments::
 
-    tox -e py36-nodeps,py37,pypy
+    tox -e py37-nodeps,py37,pypy
 
 It is also possible to run tests without tox. This way NLTK would be tested
 only under single interpreter, but it may be easier to have numpy and other

web/install.rst

@@ -1,7 +1,7 @@
 Installing NLTK
 ===============
 
-NLTK requires Python versions 3.6, 3.7, 3.8, or 3.9
+NLTK requires Python versions 3.7, 3.8, 3.9 or 3.10
 
 For Windows users, it is strongly recommended that you go through this guide to install Python 3 successfully https://docs.python-guide.org/starting/install3/win/#install3-windows