Relax pinnings on several dependencies, remove nvidia channel

README.md

@@ -2,7 +2,7 @@
 
 [![Build Status](https://github.com/NVIDIA/cuopt/actions/workflows/build.yaml/badge.svg)](https://github.com/NVIDIA/cuopt/actions/workflows/build.yaml)
 
-NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in mixed integer linear programming (MILP), linear programming (LP), and vehicle routing problems (VRP). It enables near real-time solutions for large-scale challenges with millions of variables and constraints, offering 
+NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in mixed integer linear programming (MILP), linear programming (LP), and vehicle routing problems (VRP). It enables near real-time solutions for large-scale challenges with millions of variables and constraints, offering
 easy integration into existing solvers and seamless deployment across hybrid and multi-cloud environments.
 
 The core engine is written in C++ and wrapped with a C API, Python API and Server API.
@@ -26,7 +26,7 @@ cuOpt supports the following APIs:
     - Linear Programming (LP)
     - Mixed Integer Linear Programming (MILP)
     - Routing (TSP, VRP, and PDP)
- 
+
 This repo is also hosted as a [COIN-OR](http://github.com/coin-or/cuopt/) project.
 
 ## Installation
@@ -39,7 +39,7 @@ This repo is also hosted as a [COIN-OR](http://github.com/coin-or/cuopt/) projec
 
 ### Python requirements
 
-* Python >=3.10.x, <= 3.12.x
+* Python >=3.10, <=3.13
 
 ### OS requirements
 
@@ -69,27 +69,23 @@ Development wheels are available as nightlies, please update `--extra-index-url`
 
 ### Conda
 
-cuOpt can be installed with conda (via [miniforge](https://github.com/conda-forge/miniforge)) from the `nvidia` channel:
-
-All other dependencies are installed automatically when cuopt-server and cuopt-sh-client are installed.
+cuOpt can be installed with conda (via [miniforge](https://github.com/conda-forge/miniforge)):
 
-Users who are used to conda env based workflows would benefit with conda packages readily available for cuOpt.
+All other dependencies are installed automatically when `cuopt-server` and `cuopt-sh-client` are installed.
 
-For CUDA 12.x:
 ```bash
-conda install -c rapidsai -c conda-forge -c nvidia \
-    cuopt-server=25.08.* cuopt-sh-client=25.08.* python=3.12 cuda-version=12.8
+conda install -c rapidsai -c conda-forge -c nvidia cuopt-server=25.08.* cuopt-sh-client=25.08.*
 ```
 
-We also provide [nightly Conda packages](https://anaconda.org/rapidsai-nightly) built from the HEAD
+We also provide [nightly conda packages](https://anaconda.org/rapidsai-nightly) built from the HEAD
 of our latest development branch. Just replace `-c rapidsai` with `-c rapidsai-nightly`.
 
-### Container 
+### Container
 
 Users can pull the cuOpt container from the NVIDIA container registry.
 
 ```bash
-docker pull nvidia/cuopt:latest-cuda12.8-py312 
+docker pull nvidia/cuopt:latest-cuda12.8-py312
 ```
 
 Note: The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.

conda/environments/all_cuda-128_arch-aarch64.yaml

@@ -4,8 +4,6 @@ channels:
 - rapidsai
 - rapidsai-nightly
 - conda-forge
-- nvidia
-- nvidia/label/cuda-12.4.0
 dependencies:
 - breathe
 - c-compiler
@@ -50,11 +48,11 @@ dependencies:
 - myst-parser
 - ninja
 - notebook
-- numba-cuda>=0.11.0,<0.12.0a0
-- numba>=0.59.1,<0.62.0a0
+- numba-cuda>=0.14.0
+- numba>=0.59.1
 - numpy>=1.23.5,<3.0a0
 - numpydoc
-- pandas>=2.0,<2.2.3dev0
+- pandas>=2.0
 - pexpect
 - pip
 - polyline

conda/environments/all_cuda-128_arch-x86_64.yaml

@@ -4,8 +4,6 @@ channels:
 - rapidsai
 - rapidsai-nightly
 - conda-forge
-- nvidia
-- nvidia/label/cuda-12.4.0
 dependencies:
 - breathe
 - c-compiler
@@ -50,11 +48,11 @@ dependencies:
 - myst-parser
 - ninja
 - notebook
-- numba-cuda>=0.11.0,<0.12.0a0
-- numba>=0.59.1,<0.62.0a0
+- numba-cuda>=0.14.0
+- numba>=0.59.1
 - numpy>=1.23.5,<3.0a0
 - numpydoc
-- pandas>=2.0,<2.2.3dev0
+- pandas>=2.0
 - pexpect
 - pip
 - polyline

conda/recipes/cuopt/recipe.yaml

@@ -81,10 +81,10 @@ requirements:
     - cuvs =${{ dep_minor_version }}
     - h5py
     - libcuopt =${{ version }}
-    - numba >=0.59.1,<0.62.0a0
-    - numba-cuda >=0.11.0,<0.12.0a0
+    - numba >=0.59.1
+    - numba-cuda >=0.11.0
     - numpy >=1.23,<3.0a0
-    - pandas>=2
+    - pandas >=2.0
     - pylibraft =${{ dep_minor_version }}
     - python
     - raft-dask =${{ dep_minor_version }}

dependencies.yaml

@@ -249,8 +249,6 @@ channels:
   - rapidsai
   - rapidsai-nightly
   - conda-forge
-  - nvidia
-  - nvidia/label/cuda-12.4.0
 dependencies:
   rapids_build_backend:
     common:
@@ -358,10 +356,10 @@ dependencies:
     common:
       - output_types: [conda, requirements, pyproject]
         packages:
-          - numba-cuda>=0.11.0,<0.12.0a0
-          - numba>=0.59.1,<0.62.0a0
+          - numba-cuda>=0.14.0
+          - numba>=0.59.1
           - rapids-dask-dependency==25.8.*,>=0.0.0a0
-          - &pandas pandas>=2.0,<2.2.3dev0
+          - &pandas pandas>=2.0
       - output_types: requirements
         packages:
           # pip recognizes the index as a global option for the requirements.txt file

docs/cuopt/source/cuopt-c/quick-start.rst

@@ -28,14 +28,11 @@ Conda
 
 NVIDIA cuOpt can be installed with Conda (via `miniforge <https://github.com/conda-forge/miniforge>`_) from the ``nvidia`` channel:
 
-For CUDA 12.x:
-
 .. code-block:: bash
-    
+
     # This is a deprecated module and no longer used, but it shares the same name for the CLI, so we need to uninstall it first if it exists.
     conda remove cuopt-thin-client
-    conda install -c rapidsai -c conda-forge -c nvidia \
-        libcuopt=25.08.* python=3.12 cuda-version=12.8
+    conda install -c rapidsai -c conda-forge -c nvidia libcuopt=25.08.*
 
 
-Please visit examples under each section to learn how to use the cuOpt C API.
+Please visit examples under each section to learn how to use the cuOpt C API.

docs/cuopt/source/cuopt-python/quick-start.rst

@@ -18,20 +18,17 @@ For CUDA 12.x:
 
 
 .. note::
-   For development wheels which are available as nightlies, please update `--extra-index-url` to `https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/`. 
+   For development wheels which are available as nightlies, please update `--extra-index-url` to `https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/`.
 
 
 Conda
 -----
 
-NVIDIA cuOpt can be installed with Conda (via `miniforge <https://github.com/conda-forge/miniforge>`_) from the ``nvidia`` channel:
-
-For CUDA 12.x:
+NVIDIA cuOpt can be installed with Conda (via `miniforge <https://github.com/conda-forge/miniforge>`_ from the ``nvidia`` channel:
 
 .. code-block:: bash
 
-    conda install -c rapidsai -c conda-forge -c nvidia \
-        cuopt=25.08.* python=3.12 cuda-version=12.8
+    conda install -c rapidsai -c conda-forge -c nvidia cuopt=25.08.*
 
 .. note::
    For development conda packages which are available as nightlies, please update `-c rapidsai` to `-c rapidsai-nightly`.
@@ -47,13 +44,13 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
     docker pull nvidia/cuopt:latest-cuda12.8-py312
 
 .. note::
-   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags. 
+   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
 
 The container includes both the Python API and self-hosted server components. To run the container:
 
 .. code-block:: bash
 
-    docker run --gpus all -it --rm nvidia/cuopt:latest-cuda12.8-py312 
+    docker run --gpus all -it --rm nvidia/cuopt:latest-cuda12.8-py312
 
 This will start an interactive session with cuOpt pre-installed and ready to use.
 
@@ -93,7 +90,7 @@ After installation, you can verify that NVIDIA cuOpt is working correctly by run
 Example Response:
 
 .. code-block:: text
-        
+
         route  arrival_stamp  truck_id  location      type
            0            0.0         0         0     Depot
            2            2.0         0         2  Delivery

docs/cuopt/source/cuopt-server/quick-start.rst

@@ -20,14 +20,11 @@ For CUDA 12.x:
 Conda
 -----
 
-cuOpt Server can be installed with Conda (via `miniforge <https://github.com/conda-forge/miniforge>`_) from the ``nvidia`` channel:
-
-For CUDA 12.x:
+cuOpt Server can be installed with Conda (via `miniforge <https://github.com/conda-forge/miniforge>`_ from the ``nvidia`` channel:
 
 .. code-block:: bash
 
-    conda install -c rapidsai -c conda-forge -c nvidia \
-        cuopt-server=25.08.* cuopt-sh-client=25.08.* python=3.12 cuda-version=12.8
+    conda install -c rapidsai -c conda-forge -c nvidia cuopt-server=25.08.* cuopt-sh-client=25.08.*
 
 .. note::
    For development conda packages which are available as nightlies, please update `-c rapidsai` to `-c rapidsai-nightly`.
@@ -43,7 +40,7 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
     docker pull nvidia/cuopt:latest-cuda12.8-py312
 
 .. note::
-   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags. 
+   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
 
 The container includes both the Python API and self-hosted server components. To run the container:
 
@@ -68,7 +65,7 @@ Step 3: Access NGC registry:
 
 Step 4: Pull the container:
 
-* Go to the container section for cuOpt and copy the pull tag for the latest image. 
+* Go to the container section for cuOpt and copy the pull tag for the latest image.
 * Log into the nvcr.io container registry in your cluster setup, using the NGC API key as shown below.
 
     .. code-block:: bash
@@ -114,7 +111,7 @@ Install jq and curl for basic HTTP requests and parsing JSON responses
 
     sudo apt install jq curl
 
-Run the server and test 
+Run the server and test
 
 .. code-block:: bash
 
@@ -165,7 +162,7 @@ Run the server and test
         RESPONSE=$(curl --location "http://${SERVER_IP}:${SERVER_PORT}/cuopt/solution/${REQID}" \
             --header 'Content-Type: application/json' \
             --header "CLIENT-VERSION: custom")
-        
+
         if echo "$RESPONSE" | jq -e 'has("response")' > /dev/null 2>&1; then
             echo "Got solution response:"
             echo "$RESPONSE" | jq '.' 2>/dev/null || echo "$RESPONSE"
@@ -174,12 +171,12 @@ Run the server and test
             echo "Response status:"
             echo "$RESPONSE" | jq '.' 2>/dev/null || echo "$RESPONSE"
         fi
-        
+
         if [ $i -eq 5 ]; then
             echo "Error: Timed out waiting for solution"
             exit 1
         fi
-        
+
         echo "Waiting for solution..."
         sleep 1
     done
@@ -206,7 +203,7 @@ Example Response:
                     "0": {
                         "task_id": [
                             "Depot",
-                            "0", 
+                            "0",
                             "Depot"
                         ],
                         "arrival_stamp": [
@@ -235,4 +232,4 @@ Example Response:
             "total_solve_time": 0.10999655723571777
         },
         "reqId": "afea72c2-6c76-45ce-bcf7-0d55049f32e4"
-    }    
+    }

python/cuopt/pyproject.toml

@@ -36,10 +36,10 @@ dependencies = [
     "cupy-cuda12x",
     "cuvs==25.8.*,>=0.0.0a0",
     "libcuopt==25.8.*,>=0.0.0a0",
-    "numba-cuda>=0.11.0,<0.12.0a0",
-    "numba>=0.59.1,<0.62.0a0",
+    "numba-cuda>=0.14.0",
+    "numba>=0.59.1",
     "numpy>=1.23.5,<3.0a0",
-    "pandas>=2.0,<2.2.3dev0",
+    "pandas>=2.0",
     "pylibraft==25.8.*,>=0.0.0a0",
     "raft-dask==25.8.*,>=0.0.0a0",
     "rapids-dask-dependency==25.8.*,>=0.0.0a0",

python/cuopt_server/pyproject.toml

@@ -39,7 +39,7 @@ dependencies = [
     "msgpack-numpy==0.4.8",
     "msgpack==1.1.0",
     "numpy>=1.23.5,<3.0a0",
-    "pandas>=2.0,<2.2.3dev0",
+    "pandas>=2.0",
     "psutil==5.9.6",
     "uvicorn==0.34.*",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.

python/libcuopt/libcuopt/tests/test_cli.sh

@@ -17,10 +17,11 @@
 
 set -euo pipefail
 
-# Add cuopt_cli path to PATh variable
-PATH="$(pyenv root)/versions/$(pyenv version-name)/bin:$PATH"
-export PATH
-
+# Add cuopt_cli path to PATH variable
+if command -v pyenv &> /dev/null; then
+    PATH="$(pyenv root)/versions/$(pyenv version-name)/bin:$PATH"
+    export PATH
+fi
 
 # Test the CLI