Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion .github/workflows/fvGP-CI.yml
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [ '3.10', '3.11', '3.12' ]
python-version: [ '3.11', '3.12'] # 3.13 suppressed until imate releases wheels for 3.13

steps:
- uses: actions/checkout@v2
Expand Down
2 changes: 1 addition & 1 deletion fvgp/gp.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
import warnings
import numpy as np
from loguru import logger
from dask.distributed import Client
from distributed import Client
from scipy.stats import norm
from .gp_prior import GPprior
from .gp_data import GPdata
Expand Down
12 changes: 6 additions & 6 deletions pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -6,11 +6,11 @@ build-backend = "hatchling.build"
name = "fvgp"
dependencies = [
"wheel",
"scipy ~= 1.13.0",
"numpy ~= 2.1.1",
"dask ~= 2024.1.0",
"distributed ~= 2024.1.0",
"hgdl ~= 2.2.2",
"scipy ~= 1.16.0",
"numpy ~= 2.3.1",
"dask ~= 2025.5.1",
"distributed ~= 2025.5.1",
"hgdl ~= 2.3.1",
"loguru",
]
# imate
Expand Down Expand Up @@ -42,7 +42,7 @@ dynamic = ["version"]

[project.optional-dependencies]
docs = ['sphinx', 'sphinx-rtd-theme', 'myst-parser', 'myst-nb', 'sphinx-panels', 'autodocs', 'jupytext']
tests = ['pytest', 'codecov', 'pytest-cov', 'imate', 'torch']
tests = ['pytest', 'codecov', 'pytest-cov', 'torch', 'imate']
plotting = ['matplotlib', 'plotly', 'notebook']

[project.urls]
Expand Down
1 change: 0 additions & 1 deletion tests/test_fvgp.py
Original file line number Diff line number Diff line change
Expand Up @@ -316,7 +316,6 @@ def mkernel(x1,x2,hps):


def test_gp2Scale(client):
from imate import logdet as imate_logdet
input_dim = 1
N = 2000
x_data = np.random.rand(N,input_dim)
Expand Down
Loading