Change 3.6 to 3.7 in tests pipeline

SETUP.md

@@ -42,7 +42,7 @@ Another alternative is to run all the recommender utilities directly from a loca
 ### Requirements
 
 * A machine running Linux, MacOS or Windows
-* An optional requirement is Anaconda with Python version >= 3.6
+* An optional requirement is Anaconda with Python version >= 3.6, <= 3.9
   * This is pre-installed on Azure DSVM such that one can run the following steps directly. To setup on your local machine, [Miniconda](https://docs.conda.io/en/latest/miniconda.html) is a quick way to get started.
   
   Alternatively a [virtual environment](#using-a-virtual-environment) can be used instead of Anaconda.

tests/ci/azure_pipeline_test/dsvm_nightly_linux_cpu.yml

@@ -32,7 +32,7 @@ extends:
     task_name: "Test - Nightly Linux CPU"
     timeout: 180 
     conda_env: "nightly_linux_cpu"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[examples,dev,experimental] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "not spark and not gpu"
     pytest_params: "-x"

tests/ci/azure_pipeline_test/dsvm_nightly_linux_gpu.yml

@@ -31,7 +31,7 @@ extends:
     task_name: "Test - Nightly Linux GPU"
     timeout: 420
     conda_env: "nightly_linux_gpu"
-    conda_opts: "-c conda-forge python=3.6 cudatoolkit=11.2 cudnn=8.1"
+    conda_opts: "-c conda-forge python=3.7 cudatoolkit=11.2 cudnn=8.1"
     pip_opts: "[gpu,examples,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not spark and gpu"
     pytest_params: "-x"

tests/ci/azure_pipeline_test/dsvm_nightly_linux_pyspark.yml

@@ -32,7 +32,7 @@ extends:
     task_name: "Test - Nightly Linux Spark"
     timeout: 180
     conda_env: "nightly_linux_spark"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[spark,examples,dev]"
     pytest_markers: "spark and not gpu"
     pytest_params: "-x"

tests/ci/azure_pipeline_test/dsvm_notebook_linux_cpu.yml

@@ -59,6 +59,6 @@ extends:
     - unit
     task_name: "Test - Unit Notebook Linux CPU"
     conda_env: "unit_notebook_linux_cpu"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[examples,dev,experimental] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "notebooks and not spark and not gpu"

tests/ci/azure_pipeline_test/dsvm_notebook_linux_gpu.yml

@@ -59,6 +59,6 @@ extends:
     - unit
     task_name: "Test - Unit Notebook Linux GPU"
     conda_env: "unit_notebook_linux_gpu"
-    conda_opts: "-c conda-forge python=3.6 cudatoolkit=11.2 cudnn=8.1"
+    conda_opts: "-c conda-forge python=3.7 cudatoolkit=11.2 cudnn=8.1"
     pip_opts: "[gpu,examples,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "notebooks and not spark and gpu"

tests/ci/azure_pipeline_test/dsvm_notebook_linux_pyspark.yml

@@ -59,6 +59,6 @@ extends:
     - unit
     task_name: "Test - Unit Notebook Linux Spark"
     conda_env: "unit_notebook_linux_spark"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[spark,examples,dev]"
     pytest_markers: "notebooks and spark and not gpu"

tests/ci/azure_pipeline_test/dsvm_unit_linux_cpu.yml

@@ -59,6 +59,6 @@ extends:
     - unit
     task_name: "Test - Unit Linux CPU"
     conda_env: "unit_linux_cpu"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[dev,experimental] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "not notebooks and not spark and not gpu"

tests/ci/azure_pipeline_test/dsvm_unit_linux_gpu.yml

@@ -59,6 +59,6 @@ extends:
     - unit
     task_name: "Test - Unit Linux GPU"
     conda_env: "unit_linux_gpu"
-    conda_opts: "-c conda-forge python=3.6 cudatoolkit=11.2 cudnn=8.1"
+    conda_opts: "-c conda-forge python=3.7 cudatoolkit=11.2 cudnn=8.1"
     pip_opts: "[gpu,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not notebooks and not spark and gpu"

tests/ci/azure_pipeline_test/dsvm_unit_linux_pyspark.yml

@@ -59,6 +59,6 @@ extends:
     - unit
     task_name: "Test - Unit Linux Spark"
     conda_env: "unit_linux_spark"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[spark,dev]"
     pytest_markers: "not notebooks and spark and not gpu"

tests/ci/azure_pipeline_test/release_pipeline.yml

@@ -22,7 +22,7 @@ jobs:
     - unit
     task_name: "Test - Unit Linux CPU"
     conda_env: "release_unit_linux_cpu"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[experimental,dev] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "not notebooks and not spark and not gpu"
     install: "release"
@@ -34,7 +34,7 @@ jobs:
     - unit
     task_name: "Test - Unit Notebook Linux CPU"
     conda_env: "release_unit_notebook_linux_cpu"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[experimental,examples,dev] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "notebooks and not spark and not gpu"
     install: "release"
@@ -45,7 +45,7 @@ jobs:
     - unit
     task_name: "Test - Unit Linux GPU"
     conda_env: "release_unit_linux_gpu"
-    conda_opts: "-c conda-forge python=3.6 cudatoolkit=11.2 cudnn=8.1"
+    conda_opts: "-c conda-forge python=3.7 cudatoolkit=11.2 cudnn=8.1"
     pip_opts: "[gpu,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not notebooks and not spark and gpu"
     install: "release"
@@ -56,7 +56,7 @@ jobs:
     - unit
     task_name: "Test - Unit Notebook Linux GPU"
     conda_env: "release_unit_notebook_linux_gpu"
-    conda_opts: "-c conda-forge python=3.6 cudatoolkit=11.2 cudnn=8.1"
+    conda_opts: "-c conda-forge python=3.7 cudatoolkit=11.2 cudnn=8.1"
     pip_opts: "[gpu,examples,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "notebooks and not spark and gpu"
     install: "release"
@@ -67,7 +67,7 @@ jobs:
     - unit
     task_name: "Test - Unit Linux Spark"
     conda_env: "release_unit_linux_spark"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[spark,dev]"
     pytest_markers: "not notebooks and spark and not gpu"
     install: "release"
@@ -78,7 +78,7 @@ jobs:
     - unit
     task_name: "Test - Unit Notebook Linux Spark"
     conda_env: "release_unit_notebook_linux_spark"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[spark,examples,dev]"
     pytest_markers: "notebooks and spark and not gpu"
     install: "release"
@@ -92,7 +92,7 @@ jobs:
     task_name: "Test - Nightly Linux CPU"
     timeout: 180 
     conda_env: "release_nightly_linux_cpu"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[experimental,examples,dev] 'scikit-surprise@https://github.com/NicolasHug/Surprise/archive/refs/tags/v1.1.1.tar.gz' 'pymanopt@https://github.com/pymanopt/pymanopt/archive/fb36a272cdeecb21992cfd9271eb82baafeb316d.zip' --no-cache --no-binary scikit-surprise"
     pytest_markers: "not spark and not gpu"
     install: "release"
@@ -105,7 +105,7 @@ jobs:
     task_name: "Test - Nightly Linux GPU"
     timeout: 360
     conda_env: "release_nightly_linux_gpu"
-    conda_opts: "-c conda-forge python=3.6 cudatoolkit=11.2 cudnn=8.1"
+    conda_opts: "-c conda-forge python=3.7 cudatoolkit=11.2 cudnn=8.1"
     pip_opts: "[gpu,examples,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not spark and gpu"
     install: "release"
@@ -118,7 +118,7 @@ jobs:
     task_name: "Test - Nightly Linux Spark"
     timeout: 180
     conda_env: "release_nightly_linux_spark"
-    conda_opts: "python=3.6"
+    conda_opts: "python=3.7"
     pip_opts: "[spark,examples,dev]"
     pytest_markers: "spark and not gpu"
     install: "release"

tests/ci/cpu_unit_tests.yml

@@ -39,9 +39,9 @@ steps:
 
 - task: UsePythonVersion@0
   inputs:
-    versionSpec: '3.6'
+    versionSpec: '3.7'
     architecture: 'x64'
-  displayName: 'Use Python 3.6'
+  displayName: 'Use Python 3.7'
 
 - script: | 
    az login --service-principal -u $(ClientID) -p $(ClientSecret) --tenant $(TenantID)

tests/ci/env-setup.yml

@@ -7,9 +7,9 @@ steps:
 
 - task: UsePythonVersion@0
   inputs:
-    versionSpec: '3.6'
+    versionSpec: '3.7'
     architecture: 'x64'
-  displayName: 'Use Python 3.6'
+  displayName: 'Use Python 3.7'
 
 - bash: |
     echo "##vso[task.prependpath]/data/anaconda/bin"

tests/ci/gpu_unit_test.yml

@@ -40,9 +40,9 @@ steps:
 
 - task: UsePythonVersion@0
   inputs:
-    versionSpec: '3.6'
+    versionSpec: '3.7'
     architecture: 'x64'
-  displayName: 'Use Python 3.6'
+  displayName: 'Use Python 3.7'
 
 - script: | 
    az login --service-principal -u $(ClientID) -p $(ClientSecret) --tenant $(TenantID)

tools/generate_conda_file.py

@@ -35,7 +35,7 @@ $ python -m ipykernel install --user --name {conda_env} --display-name "Python (
 CHANNELS = ["defaults", "conda-forge", "pytorch", "fastai"]
 
 CONDA_BASE = {
-    "python": "python>=3.6,<3.8",
+    "python": "python>=3.6,<3.10",
     "bottleneck": "bottleneck==1.2.1",
     "cornac": "cornac>=1.11.0",
     "ipykernel": "ipykernel>=4.6.1",