Move to codecov

.github/workflows/tests.yml

@@ -39,16 +39,24 @@ jobs:
       run: |
         python -m pip install --upgrade pip
         pip install -e .[testing]
-    - name: Test with pytest
+    - name: Run pytest
       run: |
-        pip install pytest
-        pytest --cov=myst_nb --cov-report=
-    - name: Upload to coveralls
-      run: |
-        pip install coveralls
-        coveralls
-      env:
-          COVERALLS_REPO_TOKEN: ${{ secrets.COVERALLS_KEY }}
+        pytest --durations=10 --cov=myst_nb --cov-report=xml --cov-report=term-missing
+        coverage xml
+    # - name: Upload to coveralls
+    #   run: |
+    #     pip install coveralls
+    #     coveralls
+    #   env:
+    #     COVERALLS_REPO_TOKEN: ${{ secrets.COVERALLS_KEY }}
+    - name: Upload to Codecov
+      if: matrix.python-version == 3.7 && github.repository == 'ExecutableBookProject/MyST-NB'
+      uses: codecov/codecov-action@v1
+      with:
+        name: myst-nb-pytests-py3.7
+        flags: pytests
+        file: ./coverage.xml
+        fail_ci_if_error: true
 
   publish:
 

setup.py

@@ -56,16 +56,14 @@
     extras_require={
         "code_style": ["flake8<3.8.0,>=3.7.0", "black", "pre-commit==1.17.0"],
         "testing": [
-            "coverage",
-            "pytest>=3.6,<4",
-            "pytest-cov",
+            "pytest~=5.4",
+            "pytest-cov~=2.8",
+            "coverage<5.0",
             "pytest-regressions",
-            "beautifulsoup4",
             "matplotlib",
             "numpy",
             "sympy",
             "pandas",
-            "ipypublish",
         ],
         "rtd": [
             "sphinxcontrib-bibtex",

tests/notebooks/complex_outputs.ipynb

@@ -12,7 +12,13 @@
    },
    "outputs": [],
    "source": [
-    "from ipypublish.scripts.ipynb_latex_setup import *"
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "pd.set_option('display.latex.repr', True)\n",
+    "import sympy as sym\n",
+    "sym.init_printing(use_latex=True)\n",
+    "import numpy as np\n",
+    "from IPython.display import Image, Latex"
    ]
   },
   {

tests/notebooks/complex_outputs_unrun.ipynb

@@ -11,10 +11,11 @@
    },
    "outputs": [],
    "source": [
-    "from ipypublish import nb_setup\n",
-    "plt = nb_setup.setup_matplotlib(print_errors=True, output=('svg',))\n",
-    "pd = nb_setup.setup_pandas(escape_latex=True)\n",
-    "sym = nb_setup.setup_sympy()\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "pd.set_option('display.latex.repr', True)\n",
+    "import sympy as sym\n",
+    "sym.init_printing(use_latex=True)\n",
     "import numpy as np\n",
     "from IPython.display import Image, Latex"
    ]

tests/test_execute/test_complex_outputs_unrun.ipynb

@@ -11,10 +11,11 @@
    },
    "outputs": [],
    "source": [
-    "from ipypublish import nb_setup\n",
-    "plt = nb_setup.setup_matplotlib(print_errors=True, output=('svg',))\n",
-    "pd = nb_setup.setup_pandas(escape_latex=True)\n",
-    "sym = nb_setup.setup_sympy()\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "pd.set_option('display.latex.repr', True)\n",
+    "import sympy as sym\n",
+    "sym.init_printing(use_latex=True)\n",
     "import numpy as np\n",
     "from IPython.display import Image, Latex"
    ]
@@ -429,7 +430,7 @@
      "execution_count": 5,
      "metadata": {
       "filenames": {
-       "image/png": "/private/var/folders/dm/b2qnkb_n3r72slmpxlfmcjvm00lbnd/T/pytest-of-cjs14/pytest-846/test_complex_outputs_unrun0/source/_build/jupyter_execute/complex_outputs_unrun_22_0.png"
+       "image/png": "/private/var/folders/dm/b2qnkb_n3r72slmpxlfmcjvm00lbnd/T/pytest-of-cjs14/pytest-27/test_complex_outputs_unrun0/source/_build/jupyter_execute/complex_outputs_unrun_22_0.png"
       }
      },
      "output_type": "execute_result"
@@ -502,7 +503,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.10"
+   "version": "3.7.6"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,

tests/test_execute/test_complex_outputs_unrun.xml

@@ -2,10 +2,11 @@
     <CellNode cell_type="code" classes="cell">
         <CellInputNode classes="cell_input">
             <literal_block xml:space="preserve">
-                from ipypublish import nb_setup
-                plt = nb_setup.setup_matplotlib(print_errors=True, output=('svg',))
-                pd = nb_setup.setup_pandas(escape_latex=True)
-                sym = nb_setup.setup_sympy()
+                import matplotlib.pyplot as plt
+                import pandas as pd
+                pd.set_option('display.latex.repr', True)
+                import sympy as sym
+                sym.init_printing(use_latex=True)
                 import numpy as np
                 from IPython.display import Image, Latex
         <CellOutputNode classes="cell_output">

tests/test_execute/test_complex_outputs_unrun_nbclient.ipynb

@@ -11,10 +11,11 @@
    },
    "outputs": [],
    "source": [
-    "from ipypublish import nb_setup\n",
-    "plt = nb_setup.setup_matplotlib(print_errors=True, output=('svg',))\n",
-    "pd = nb_setup.setup_pandas(escape_latex=True)\n",
-    "sym = nb_setup.setup_sympy()\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "pd.set_option('display.latex.repr', True)\n",
+    "import sympy as sym\n",
+    "sym.init_printing(use_latex=True)\n",
     "import numpy as np\n",
     "from IPython.display import Image, Latex"
    ]

tests/test_execute/test_complex_outputs_unrun_nbclient.xml

@@ -2,10 +2,11 @@
     <CellNode cell_type="code" classes="cell">
         <CellInputNode classes="cell_input">
             <literal_block xml:space="preserve">
-                from ipypublish import nb_setup
-                plt = nb_setup.setup_matplotlib(print_errors=True, output=('svg',))
-                pd = nb_setup.setup_pandas(escape_latex=True)
-                sym = nb_setup.setup_sympy()
+                import matplotlib.pyplot as plt
+                import pandas as pd
+                pd.set_option('display.latex.repr', True)
+                import sympy as sym
+                sym.init_printing(use_latex=True)
                 import numpy as np
                 from IPython.display import Image, Latex
         <CellOutputNode classes="cell_output">

tests/test_parser/test_complex_outputs.xml

@@ -2,7 +2,13 @@
     <CellNode cell_type="code" classes="cell">
         <CellInputNode classes="cell_input">
             <literal_block xml:space="preserve">
-                from ipypublish.scripts.ipynb_latex_setup import *
+                import matplotlib.pyplot as plt
+                import pandas as pd
+                pd.set_option('display.latex.repr', True)
+                import sympy as sym
+                sym.init_printing(use_latex=True)
+                import numpy as np
+                from IPython.display import Image, Latex
         <CellOutputNode classes="cell_output">
             <CellOutputBundleNode outputs="0">
     <section ids="markdown" names="markdown">

tests/test_transform/test_complex_outputs.xml

@@ -2,7 +2,13 @@
     <CellNode cell_type="code" classes="cell">
         <CellInputNode classes="cell_input">
             <literal_block xml:space="preserve">
-                from ipypublish.scripts.ipynb_latex_setup import *
+                import matplotlib.pyplot as plt
+                import pandas as pd
+                pd.set_option('display.latex.repr', True)
+                import sympy as sym
+                sym.init_printing(use_latex=True)
+                import numpy as np
+                from IPython.display import Image, Latex
         <CellOutputNode classes="cell_output">
     <section ids="markdown" names="markdown">
         <title>