single source of version

docs/index.md

@@ -17,8 +17,6 @@ HSSM is a Python toolbox that provides a seamless combination of state-of-the-ar
 
 **License**: HSSM is licensed under [Copyright 2023, Brown University, Providence, RI](../LICENSE)
 
-**Version**: 0.1.5
-
 - Allows approximate hierarchical Bayesian inference via various likelihood approximators.
 - Estimate impact of neural and other trial-by-trial covariates via native hierarchical mixed-regression support.
 - Extensible for users to add novel models with corresponding likelihoods.

pyproject.toml

@@ -1,7 +1,7 @@
 [tool.poetry]
 name = "HSSM"
-version = "0.1.4"
-description = ""
+version = "0.1.5"
+description = "Bayesian inference for hierarchical sequential sampling models."
 authors = [
     "Alexander Fengler <[email protected]>",
     "Paul Xu <[email protected]>",
@@ -28,6 +28,7 @@ huggingface-hub = "^0.15.1"
 onnxruntime = "^1.15.0"
 bambi = "^0.12.0"
 numpyro = "^0.12.1"
+hddm-wfpt = "^0.1.1"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.3.1"
@@ -176,10 +177,6 @@ convention = "numpy"
 [tool.mypy]
 ignore_missing_imports = true
 
-[tool.poetry.build]
-generate-setup-file = false
-script = "build.py"
-
 [build-system]
-requires = ["poetry-core", "Cython", "numpy"]
+requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"

src/hssm/__init__.py

@@ -1,5 +1,6 @@
 """HSSM - Hierarchical Sequential Sampling Models."""
 
+import importlib.metadata
 import logging
 import sys
 
@@ -17,7 +18,7 @@
 handler = logging.StreamHandler(stream=sys.stdout)
 _logger.addHandler(handler)
 
-__version__ = "0.1.5"
+__version__ = importlib.metadata.version(__package__ or __name__)
 
 __all__ = [
     "HSSM",