Merge pull request #274 from JohnSnowLabs/release/1.0.0

Release v1.0.0

Author: luca-martial

.github/workflows/build_and_test.yml

@@ -0,0 +1,53 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: build
+
+on:
+  push:
+    branches:
+      - "main"
+
+  pull_request:
+    branches:
+      - "release/*"
+      - "main"
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.7","3.8", "3.9","3.10"]
+
+    steps:
+      - uses: actions/checkout@v3
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v3
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Create virtual environment
+        run: python -m venv venv
+
+      - name: Activate virtual environment
+        run: |
+          ls
+          source ./venv/bin/activate
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install flake8 pytest
+          if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+      - name: Lint with flake8
+        run: |
+          # stop the build if there are Python syntax errors or undefined names
+          flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics --exclude=venv
+          # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+          flake8 . --count --exit-zero --exclude=venv --max-complexity=10 --max-line-length=127 --statistics
+      - name: Test with pytest
+        run: |
+          python -m spacy download en_core_web_sm
+          pytest 

.gitignore

@@ -23,6 +23,8 @@ lib64/
 parts/
 sdist/
 var/
+.sass-cache/
+_site/
 wheels/
 share/python-wheels/
 *.egg-info/
@@ -198,4 +200,6 @@ docs/website/_site/**
 docs/website/.sass-cache/**
 
 tst_shortcut_sd/
-src/*/resources/*.classes
+src/*/resources/*.classes
+
+_site\

README.md

@@ -2,7 +2,7 @@
 
 <p align="center">
     <a href="https://github.com/JohnSnowLabs/nlptest/actions" alt="build">
-        <img src="https://github.com/JohnSnowLabs/nlptest/workflows/build_and_test.yml/badge.svg" /></a>
+        <img src="https://github.com/JohnSnowLabs/nlptest/workflows/build/badge.svg" /></a>
     <a href="https://github.com/JohnSnowLabs/nlptest/releases" alt="Current Release Version">
         <img src="https://img.shields.io/github/v/release/JohnSnowLabs/nlptest.svg?style=flat-square&logo=github" /></a>
     <a href="https://github.com/JohnSnowLabs/nlptest/blob/master/LICENSE" alt="License">

conda/conda_build_config.yaml

@@ -0,0 +1,4 @@
+python:
+  - 3.7
+  - 3.8
+  - 3.9

conda/meta.yaml

@@ -0,0 +1,42 @@
+package:
+  name: "nlptest"
+  version: 1.0.0
+
+app:
+  entry: nlptest
+  summary: Deliver safe & effective NLP models in a few lines of code.
+
+source:
+    fn: nlptest-1.0.0rc1.tar.gz
+    url: https://files.pythonhosted.org/packages/ff/ba/7ac40c507bd07d718e32670e72537bc2bd73e6882b0a5505c1ec74213d58/nlptest-1.0.0rc1.tar.gz
+    sha256: 05bbdde06dbf6c509845cdf46db35a252e8a08cdd643ba772d860c834c535941
+
+build:
+  noarch: generic
+  number: 0
+  script: "python -m pip install . --no-deps -vv"
+
+requirements:
+  build:
+    - python
+  run:
+    - python
+    - pip
+    - numpy
+    - pandas
+    - scikit-learn
+    - transformers
+    - nltk
+    - pytorch
+    - sentencepiece
+
+files:
+  - requirements.txt
+
+about:
+  home: https://github.com/JohnSnowLabs/nlptest/
+  license: Apache License 2.0
+  license_family: APACHE
+  license_url: https://github.com/JohnSnowLabs/nlptest/blob/main/LICENSE
+  description: John Snow Labs' NLP Test is a Python library for testing NLP models and datasets. It comes with over 50 tests covering fairness, robustness, accuracy, bias and representation for named entity recognition and text classification.
+  summary: Deliver safe & effective NLP models in a few lines of code.

conda/requirements.txt

@@ -0,0 +1 @@
+wn