Release 0.0.26

.github/workflows/lint.yaml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.8, 3.9, '3.10', 3.11, 3.12]
+        python-version: [3.8, 3.9, '3.10', 3.11, 3.12, 3.13]
     steps:
       - uses: actions/checkout@v3
 
@@ -43,10 +43,10 @@ jobs:
     steps:
       - uses: actions/checkout@v3
 
-      - name: Set up Python 3.10
+      - name: Set up Python 3.13
         uses: actions/setup-python@v4
         with:
-          python-version: '3.10'
+          python-version: 3.13
 
       - name: Upgrade pip
         run: python3 -m pip install --upgrade pip

.github/workflows/test.yaml

@@ -35,10 +35,10 @@ jobs:
     steps:
       - uses: actions/checkout@v3
 
-      - name: Set up Python 3.12
+      - name: Set up Python 3.13
         uses: actions/setup-python@v4
         with:
-          python-version: 3.12
+          python-version: 3.13
 
       - name: Upgrade pip
         run: python3 -m pip install --upgrade pip
@@ -140,7 +140,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: [3.8, 3.9, '3.10', 3.11, 3.12]
+        python-version: [3.8, 3.9, '3.10', 3.11, 3.12, 3.13]
     runs-on: ${{ matrix.os }}
     steps:
       - uses: actions/checkout@v3

.pre-commit-config.yaml

@@ -9,7 +9,7 @@ repos:
   - id: end-of-file-fixer
   - id: trailing-whitespace
 - repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: v0.5.1
+  rev: v0.9.2
   hooks:
   - id: ruff
   - id: ruff-format

docs/api/misc.rst

@@ -6,6 +6,16 @@ Probability
 
 .. python-apigen-group:: probability
 
+Independent random variables
+----------------------------
+
+.. python-apigen-group:: independent-rvs
+
+IID random variables
+--------------------
+
+.. python-apigen-group:: iid-rvs
+
 Data manipulation
 -----------------
 

docs/release-notes/v0.0.md

@@ -4,6 +4,21 @@ tocdepth: 2
 
 # v0.0
 
+## v0.0.26
+
+*Released January 21, 2025*
+
+### Changes
+
+- Pinned `galois` version to 0.4.4.
+- Added support for Python 3.13.
+- Added support for NumPy 2.1.
+- Added support for Numba 0.61.
+
+### Contributors
+
+- Matt Hostetter ([@mhostetter](https://github.com/mhostetter))
+
 ## v0.0.25
 
 *Released December 16, 2024*

pyproject.toml

@@ -37,6 +37,7 @@ classifiers = [
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "Topic :: Scientific/Engineering :: Mathematics",
     "Topic :: Security :: Cryptography",
     "Topic :: Software Development :: Libraries :: Python Modules",
@@ -48,7 +49,7 @@ dependencies = [
     "numba",                      # Use galois's version limitation
     "scipy",
     "matplotlib",
-    "galois == 0.4.3",            # Exact match required because of use of internals
+    "galois == 0.4.4",            # Exact match required because of use of internals
     "typing_extensions >= 4.0.0", # v4.0.0 is needed for use of Self (Python 3.11+) and Literal (Python 3.8+)
 ]
 dynamic = ["version"]

requirements-dev.txt

@@ -1,4 +1,4 @@
-ruff == 0.5.1
+ruff == 0.9.2
 pre-commit
 pytest
 pytest-cov[toml]

src/sdr/_data.py

@@ -153,8 +153,7 @@ def hexdump(
         data = verify_arraylike(data, int=True, ndim=1, inclusive_min=0, exclusive_max=256)
     verify_scalar(width, int=True, inclusive_min=1, inclusive_max=16)
 
-    if width > data.size:
-        width = data.size
+    width = min(width, data.size)
 
     string = ""
     for i in range(0, data.size, width):

src/sdr/_modulation/_cpm.py

@@ -159,10 +159,10 @@ def modulate(self, s: npt.ArrayLike) -> npt.NDArray[np.complex128]:
     def _modulate(self, s: npt.NDArray[np.int_]) -> npt.NDArray[np.complex128]:
         s = self._symbol_labels[s]  # Relabeled decimal symbols
         freq = self.index * (2 * s - (self.order - 1))  # Instantaneous frequency
-        print(freq)
+        # print(freq)
         # return f
         freq_ps = self._tx_pulse_shape(freq)  # Pulse-shaped instantaneous frequency
-        print(freq_ps)
+        # print(freq_ps)
         # phase_ps = np.cumsum(freq_ps)  # Pulse-shaped instantaneous phase
         # phase_ps = np.insert(phase_ps, 0, 0)  # Start with phase 0
         # phase_ps = phase_ps[:-1]  # Trim last phase