release: v0.1.1

Author: AzulGarza

Makefile

@@ -0,0 +1,30 @@
+# Makefile for publishing timecopilot-tirex to PyPI
+
+# Python version to test with
+PYTHON_VERSION = 3.13
+
+# Import statement to test
+IMPORT_STATEMENT = from tirex import load_model
+
+# Build the wheel and sdist
+build:
+	uv build
+
+# Test importing from built wheel
+test-wheel:
+	uv run --isolated --no-project -p $(PYTHON_VERSION) --with dist/*.whl -- python -c "$(IMPORT_STATEMENT)"
+
+# Test importing from built sdist
+test-sdist:
+	uv run --isolated --no-project -p $(PYTHON_VERSION) --with dist/*.tar.gz -- python -c "$(IMPORT_STATEMENT)"
+
+# Publish the package to PyPI using trusted publishing
+publish:
+	uv publish
+
+# Test importing from the installed package after publishing
+after-publish-test:
+	uv run --isolated --no-project -p $(PYTHON_VERSION) --with timecopilot-tirex -- python -c "$(IMPORT_STATEMENT)"
+
+# All steps
+release: build test-wheel test-sdist publish after-publish-test

README.md

@@ -1,3 +1,13 @@
+# Disclaimer
+
+> This is a personal fork of [tirex](https://github.com/NX-AI/tirex), maintained to support custom changes for [timecopilot](https://github.com/AzulGarza/TimeCopilot/) and publish pypi wheels at [`timecopilot-tirex`](https://pypi.org/project/timecopilot-tirex/). It may diverge from upstream.
+
+## Credits
+
+This project is a fork of by Original Author(s).  
+All credit for the original code belongs to them. This fork is maintained independently to support TimeCopilot-specific changes.
+
+
 <div align="center">
 
 # TiRex: Zero-Shot Forecasting across Long and Short Horizons

pyproject.toml

@@ -1,10 +1,6 @@
 [project]
-name = "tirex-ts"
-version = "1.4.2"
-authors = [
-  { name="Andreas Auer", email="andreas.auer@nx-ai.com" },
-  { name="Martin Loretz", email="martin.loretz@nx-ai.com" },
-]
+name = "timecopilot-tirex"
+version = "0.1.1"
 description = "A pre-trained Time Series Forecasting Model based on xLSTM supporting zero-shot forecasting"
 readme = "README.md"
 license = {file="LICENSE"}
@@ -16,6 +12,8 @@ classifiers = [
 keywords = ["TiRex", "xLSTM", "Timeseries", "Zero-shot", "Deep Learning", "Timeseries-Forecasting" ,"Timeseries-Classification", "Timeseries-Regression"]
 dependencies = [
     "torch",
+    "xlstm",
+    "ninja",
     "huggingface-hub",
     "numpy",
     "scikit-learn"