Increment version to v0.6.3 (#184)

* Increment version to `v0.6.3`

* Deprecate python 3.8

* Remove py38 from tox

* Remove python 3.8 from tox tests

* resync lock file

* fix full distance prior in tests

* bump close distance max to 400

* fix comment

.github/workflows/unit-tests.yaml

@@ -12,7 +12,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
+        python-version: ['3.9', '3.10', '3.11', '3.12']
     steps:
     - uses: actions/checkout@v2
 

pyproject.toml

@@ -1,14 +1,14 @@
 [tool.poetry]
 name = "ml4gw"
-version = "0.6.2"
+version = "0.6.3"
 description = "Tools for training torch models on gravitational wave data"
 readme = "README.md"
 authors = [
     "Alec Gunny <[email protected]>", "Ethan Marx <[email protected]>", "Will Benoit <[email protected]>", "Deep Chatterjee <[email protected]"
 ]
 
 [tool.poetry.dependencies]
-python = "^3.8,<3.13"
+python = "^3.9,<3.13"
 
 jaxtyping = "^0.2"
 
@@ -59,18 +59,17 @@ include_trailing_comma = true
 [tool.tox]
 legacy_tox_ini = """
 [tox]
-envlist = py{38,39,310,311,312}
+envlist = py{39,310,311,312}
 isolated_build = true
 
 [gh-actions]
 python =
-    3.8: py38
     3.9: py39
     3.10: py310
     3.11: py311
     3.12: py312
 
-[testenv:py{38,39,310,311,312}]
+[testenv:py{39,310,311,312}]
 deps = 
     pytest>=7,<8
     lalsuite>=7,<8

tests/waveforms/cbc/test_cbc_waveforms.py

@@ -72,19 +72,19 @@ def phi_jl(request):
 
 @pytest.fixture()
 def distance(request):
-    dist = Uniform(100, 300)
+    dist = Uniform(100, 3000)
     return dist.sample((N_SAMPLES,))
 
 
 @pytest.fixture()
 def distance_far(request):
-    dist = Uniform(300, 3000)
+    dist = Uniform(400, 3000)
     return dist.sample((N_SAMPLES,))
 
 
 @pytest.fixture()
 def distance_close(request):
-    dist = Uniform(100, 300)
+    dist = Uniform(100, 400)
     return dist.sample((N_SAMPLES,))
 
 
@@ -386,7 +386,7 @@ def test_phenom_p(
     # compare each waveform with lalsimulation
     for i in range(len(chirp_mass)):
 
-        # test far (> 300 Mpc) waveforms (O(1e-3) agreement)
+        # test far (> 400 Mpc) waveforms (O(1e-3) agreement)
 
         # construct lalinference params
         params = dict(
@@ -465,7 +465,7 @@ def test_phenom_p(
             1e21 * hc_lal_data.imag, 1e21 * hc_ml4gw.imag.numpy(), atol=1e-3
         )
 
-        # test close (< 300 Mpc) waveforms  (O(1e-2) agreement)
+        # test close (< 400 Mpc) waveforms  (O(1e-2) agreement)
         params["distance"] = (distance_close[i].item() * u.Mpc).to("m").value
         hp_lal, hc_lal = lalsimulation.SimInspiralChooseFDWaveform(**params)