1.1.0

.bumpversion.toml

@@ -3,7 +3,7 @@
 parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
 serialize = ["{major}.{minor}.{patch}"]
 regex = false
-current_version = "1.0.0"
+current_version = "1.1.0"
 ignore_missing_version = false
 search = "{current_version}"
 replace = "{new_version}"

codemeta.json

@@ -61,8 +61,8 @@
         "givenName": "Benedetto"
     },
     "dateCreated": "2025-04-11",
-    "dateModified": "2026-04-14",
-    "datePublished": "2026-04-14",
+    "dateModified": "2026-04-21",
+    "datePublished": "2026-04-21",
     "description": "A Python package to convert your data into spike-based signals for efficient and biologically-inspired spiking neural network applications, enabling faster and more energy-efficient computations.",
     "funder": {
         "type": "Organization",
@@ -83,12 +83,12 @@
     ],
     "programmingLanguage": "Python",
     "runtimePlatform": "Miniconda",
-    "version": "1.0.0",
+    "version": "1.1.0",
     "developmentStatus": "active",
     "funding": "Project IR0000011, CUP B51E22000150006, EBRAINS-Italy",
     "isSourceCodeOf": "inNuCE Lab",
     "issueTracker": "https://github.com/neuromorphic-polito/spikify/issues",
     "referencePublication": "https://doi.org/10.3389/fnins.2022.999029",
-    "downloadUrl": "https://github.com/neuromorphic-polito/spikify/releases/tag/1.0.0"
+    "downloadUrl": "https://github.com/neuromorphic-polito/spikify/releases/tag/1.1.0"
 
 }

docs/changelog.rst

@@ -8,6 +8,19 @@ All notable changes to this project will be documented in this file.
 The format is based on `Keep a Changelog <https://keepachangelog.com/en/1.1.0/>`__,
 and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0.html>`__.
 
+1.1.0
+-----
+:Released: 2026-04-21
+:Full Changelog: `1.0.0...1.1.0 <https://github.com/neuromorphic-polito/spikify/compare/1.0.0...1.1.0>`__
+
+Improvements
+............
+- Introduced decoding support for contrast-based and deconvolution-based encoders, enabling signal reconstruction workflows.
+- Improved return format consistency by removing implicit flattening of outputs across decoding functions.
+- Clarified argument order and improved API consistency in decoding-related functions.
+- General documentation style improvements and cleanup.
+- Removed unnecessary argument initializations to simplify internal logic.
+
 1.0.0
 -----
 :Released: 2026-04-14

docs/conf.py

@@ -18,7 +18,7 @@
 now = datetime.datetime.now()
 author = "Benedetto Leto, Gianvito Urgese, Vittorio Fra, Riccardo Pignari"
 copyright = f"{now.year}, {author}."
-version = "1.0.0"
+version = "1.1.0"
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "innuce-spikify"
-version = "1.0.0"
+version = "1.1.0"
 description = "A Python package to convert signal data to spike trains"
 authors = ["Benedetto Leto <benedetto.leto@polito.it>", "Gianvito Urgese <gianvito.urgese@polito.it>", "Vittorio Fra <vittorio.fra@polito.it>", "Riccardo Pignari <riccardo.pignari@polito.it>"]
 readme = "README_PYPI.md"

spikify/version.py

@@ -1 +1 @@
-__version__ = "1.0.0"
+__version__ = "1.1.0"