DEVPROD-15941: Upgrade to poetry 2.1.1 and allow Python >=3.11

.github/workflows/cicd.yml

@@ -22,7 +22,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - name: Install
         run: |
-          pip install poetry==1.3.2
+          pip install poetry==2.1.1
           poetry install
       - name: Test
         run: |

Dockerfile

@@ -2,7 +2,7 @@ FROM quay.io/pypa/manylinux2014_x86_64
 
 RUN curl https://sh.rustup.rs -sSf | sh -s -- -y
 ENV PATH="/root/.cargo/bin:${PATH}"
-RUN /opt/python/cp38-cp38/bin/pip install poetry==1.3.2
+RUN /opt/python/cp311-cp311/bin/pip install poetry==2.1.1
 
 ADD . signal_processing
 

pyproject.toml

@@ -1,23 +1,34 @@
-[tool.poetry]
+[project]
 name = "signal-processing-algorithms"
 version = "2.1.6"
 description = "Signal Processing Algorithms from MongoDB"
 authors = [
-    "Alexander Costas <alexander.costas@mongodb.com>",
-    "David Bradford <david.bradford@mongodb.com>",
-    "David Daly <david.daly@mongodb.com",
-    "Henrik Ingo <henrik.ingo@mongodb.com>",
-    "Jeff Zambory <jeff.zambory@mongodb.com>",
-    "Jim O'Leary <jim.oleary@mongodb.com>",
-    "Lydia Stepanek <lydia.stepanek@mongodb.com>"
+    {name = "Alexander Costas", email = "alexander.costas@mongodb.com"},
+    {name = "David Bradford", email = "david.bradford@mongodb.com"},
+    {name = "David Daly", email = "david.daly@mongodb.com"},
+    {name = "Henrik Ingo", email = "henrik.ingo@mongodb.com"},
+    {name = "Jeff Zambory", email = "jeff.zambory@mongodb.com"},
+    {name = "Jim O'Leary", email = "jim.oleary@mongodb.com"},
+    {name = "Lydia Stepanek", email = "lydia.stepanek@mongodb.com"},
 ]
 license="Apache-2.0"
-repository="https://github.com/mongodb/signal-processing-algorithms"
 readme = "README.md"
-build = "build.py"
+
+dynamic = ["dependencies"]
+requires-python=">=3.11,<4.0"
+
+[project.urls]
+Repository="https://github.com/mongodb/signal-processing-algorithms"
+
+
+[build-system]
+requires = ["setuptools"]
+
+[tool.poetry.build]
+script = "build.py"
+generate-setup-file = true
 
 [tool.poetry.dependencies]
-python = "~3.11"
 more-itertools = "^8.2.0"
 setuptools = ">=65.5.1,<71.0.0"
 scipy = "^1.8.1"
@@ -27,8 +38,8 @@ pyyaml="^6.0.0"
 gevent="^24.10.1"
 numpy = "^1.24.4"
 
-[tool.poetry.dev-dependencies]
-pytest = "^8.3.4"
+[tool.poetry.group.dev.dependencies]
+pytest = "^8.3.5"
 pytest-black = "^0.3"
 pytest-cov = "^2.8"
 pytest-flake8 = "^1.3.0"
@@ -37,7 +48,7 @@ pytest-mypy = "^0.8"
 pytest-pydocstyle = "^2.0.0"
 hypothesis = "^5.19"
 python-service-tools = "^0.4.4"
-black = "^20.8b1"
+black = "^25.1.0"
 
 [tool.black]
 line-length = 100

scripts/deploy.sh

@@ -8,7 +8,7 @@ set -o pipefail
 # is at the path below.
 #
 # For more information see: https://github.com/pypa/auditwheel
-export PATH="$PATH:/opt/python/cp38-cp38/bin"
+export PATH="$PATH:/opt/python/cp311-cp311/bin"
 
 poetry build
 find ./dist -name "*.whl" | xargs auditwheel repair

src/signal_processing_algorithms/determinism.py

@@ -1,4 +1,5 @@
 """Functions to help setup deterministic results when using random numbers."""
+
 # E-Divisive's definition requires it to permute change-windows
 # which leads to non-determinism: we need to always get the
 # same change-point results when running on the same input.

src/signal_processing_algorithms/energy_statistics/cext_calculator.py

@@ -1,4 +1,5 @@
 """C Extension E-Divisive calculator."""
+
 import os
 
 from ctypes import c_bool, c_double, c_int

src/signal_processing_algorithms/energy_statistics/energy_statistics.py

@@ -1,4 +1,5 @@
 """Energy statistics."""
+
 from dataclasses import dataclass
 from typing import Dict, List, Optional, Tuple, Union
 
@@ -99,8 +100,8 @@ def _calculate_stats(x: float, y: float, xy: float, n: int, m: int) -> Tuple[flo
     :return: The q value generated from the terms.
     """
     xy_avg = xy / (n * m) if n > 0 and m > 0 else 0
-    x_avg = x / (n ** 2) if n > 0 else 0
-    y_avg = y / (m ** 2) if m > 0 else 0
+    x_avg = x / (n**2) if n > 0 else 0
+    y_avg = y / (m**2) if m > 0 else 0
 
     # E-statistic
     e = 2 * xy_avg - x_avg - y_avg

src/signal_processing_algorithms/gesd.py

@@ -136,7 +136,7 @@ def gesd(
         value = (
             (length - i - 1)
             * percentage_point
-            / np.sqrt((length - i - 2 + percentage_point ** 2) * (length - i))
+            / np.sqrt((length - i - 2 + percentage_point**2) * (length - i))
         )
 
         # Update results.

tests/test_detection.py

@@ -1,6 +1,7 @@
 """
 Change points detection related tests.
 """
+
 import numpy as np
 import pytest