ci: cache test IV

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.7.0
+current_version = 0.7.1
 commit = True
 tag = True
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)

.ci/python310.Dockerfile

@@ -0,0 +1,7 @@
+FROM python:3.9
+
+RUN adduser --uid 1000 jenkins
+
+USER jenkins
+
+RUN mkdir -p /home/jenkins/.cache/pip

.ci/python36.Dockerfile

@@ -0,0 +1,7 @@
+FROM python:3.6
+
+RUN adduser --uid 1000 jenkins
+
+USER jenkins
+
+RUN mkdir -p /home/jenkins/.cache/pip

.travis.yml

@@ -1,40 +0,0 @@
-dist: bionic
-sudo: false
-language: python
-python:
-  - 3.9
-  - 3.8
-  - 3.7
-  - 3.6
-cache:
-  directories:
-  - "$HOME/.cache/pip"
-  - "./tests/artifacts"
-  - "$HOME/datasets"
-install:
-- pip install .[all] --progress-bar off
-
-# Generate code coverage report
-script:
-- coverage run -m pytest
-
-# Push the results to codecov
-after_success:
-- bash <(curl -s https://codecov.io/bash)
-
-# Publish on PyPI
-deploy:
-  provider: pypi
-  username: __token__
-  password:
-    secure: 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
-  on:
-    tags: true
-    skip_existing: true
-
-# The password is encrypted with:
-# `cd prototorch && travis encrypt your-pypi-api-token --add deploy.password`
-# See https://docs.travis-ci.com/user/deployment/pypi and
-# https://github.com/travis-ci/travis.rb#installation
-# for more details
-# Note: The encrypt command does not work well in ZSH.

Jenkinsfile

@@ -0,0 +1,41 @@
+pipeline {
+  agent none
+  stages {
+    stage('Unit Tests') {
+      parallel {
+        stage('3.6'){
+          agent{
+            dockerfile {
+              filename 'python36.Dockerfile'
+              dir '.ci'
+              args '-v pip-cache:/home/jenkins/.cache/pip'
+            }
+          }
+          steps {
+              sh 'pip install pip --upgrade --progress-bar off'
+              sh 'pip install .[all] --progress-bar off'
+              sh '~/.local/bin/pytest -v --junitxml=reports/result.xml --cov=prototorch/ --cov-report=xml:reports/coverage.xml'
+              cobertura coberturaReportFile: 'reports/coverage.xml'
+              junit 'reports/**/*.xml'
+          }
+        }
+        stage('3.10'){
+          agent{
+            dockerfile {
+              filename 'python310.Dockerfile'
+              dir '.ci'
+              args '-v pip-cache:/home/jenkins/.cache/pip'
+            }
+          }
+          steps {
+            sh 'pip install pip --upgrade --progress-bar off'
+            sh 'pip install .[all] --progress-bar off'
+            sh '~/.local/bin/pytest -v --junitxml=reports/result.xml --cov=prototorch/ --cov-report=xml:reports/coverage.xml'
+            cobertura coberturaReportFile: 'reports/coverage.xml'
+            junit 'reports/**/*.xml'
+        }
+        }
+      }
+    }
+  }
+}

deprecated.travis.yml

@@ -0,0 +1,46 @@
+dist: bionic
+sudo: false
+language: python
+python:
+  - 3.9
+  - 3.8
+  - 3.7
+  - 3.6
+cache:
+  directories:
+  - "$HOME/.cache/pip"
+  - "./tests/artifacts"
+  - "$HOME/datasets"
+install:
+- pip install .[all] --progress-bar off
+
+# Generate code coverage report
+script:
+- coverage run -m pytest
+
+# Push the results to codecov
+after_success:
+- bash <(curl -s https://codecov.io/bash)
+
+# Publish on PyPI
+jobs:
+  include:
+    - stage: build
+      python: 3.9
+      script: echo "Starting Pypi build"
+      deploy:
+        provider: pypi
+        username: __token__
+        distributions: "sdist bdist_wheel"
+        password:
+          secure: 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
+        on:
+          tags: true
+          skip_existing: true
+
+# The password is encrypted with:
+# `cd prototorch && travis encrypt your-pypi-api-token --add deploy.password`
+# See https://docs.travis-ci.com/user/deployment/pypi and
+# https://github.com/travis-ci/travis.rb#installation
+# for more details
+# Note: The encrypt command does not work well in ZSH.

docs/source/conf.py

@@ -23,7 +23,7 @@ author = "Jensun Ravichandran"
 
 # The full version, including alpha/beta/rc tags
 #
-release = "0.7.0"
+release = "0.7.1"
 
 # -- General configuration ---------------------------------------------------
 

prototorch/__init__.py

@@ -22,7 +22,7 @@ from .core import (
 )
 
 # Core Setup
-__version__ = "0.7.0"
+__version__ = "0.7.1"
 
 __all_core__ = [
     "competitions",

setup.py

@@ -20,7 +20,7 @@ with open("README.md", "r") as fh:
 
 INSTALL_REQUIRES = [
     "torch>=1.3.1",
-    "torchvision>=0.7.0",
+    "torchvision>=0.7.1",
     "numpy>=1.9.1",
     "sklearn",
 ]
@@ -43,12 +43,15 @@ EXAMPLES = [
     "matplotlib",
     "torchinfo",
 ]
-TESTS = ["codecov", "pytest"]
+TESTS = [
+    "pytest-cov",
+    "pytest",
+]
 ALL = DATASETS + DEV + DOCS + EXAMPLES + TESTS
 
 setup(
     name="prototorch",
-    version="0.7.0",
+    version="0.7.1",
     description="Highly extensible, GPU-supported "
     "Learning Vector Quantization (LVQ) toolbox "
     "built using PyTorch and its nn API.",