ci: skip tests that hit github api on mac

Author: machow

.github/workflows/ci.yml

@@ -15,7 +15,13 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: ["macos-latest", "ubuntu-latest"]
+        include:
+          - os: "macos-latest"
+            # ignore doctests, as they involve calls to github, and all mac machines
+            # use the same IP address
+            pytest_opts: "-k pins/tests"
+          - os: "ubuntu-latest"
+            pytest_opts:
     steps:
       - uses: actions/checkout@v2
       - uses: actions/setup-python@v2
@@ -28,12 +34,12 @@ jobs:
           python -m pip install -e .
       - name: Run tests
         run: |
-          pytest pins -m 'not fs_rsc and not skip_on_github'
+          pytest pins -m 'not fs_rsc and not skip_on_github' $PYTEST_OPTS
         env:
           AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
           AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
           AWS_REGION: "us-east-1"
-          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
+          PYTEST_OPTS: ${{ matrix.pytest_opts}}
 
   test-rsconnect:
     name: "Test RSConnect"

pins/boards.py

@@ -569,13 +569,7 @@ class BoardManual(BaseBoard):
     --------
     >>> import fsspec
     >>> import os
-    >>> fs = fsspec.filesystem(
-    ...     "github",
-    ...     org = "machow",
-    ...     repo = "pins-python",
-    ...     token=os.environ.get("GITHUB_TOKEN")   # optional
-    ... )
-
+    >>> fs = fsspec.filesystem("github", org = "machow", repo = "pins-python")
     >>> pin_paths = {"df_csv": "df_csv/20220214T163720Z-9bfad"}
     >>> board = BoardManual("pins/tests/pins-compat", fs, pin_paths=pin_paths)
 

pins/constructors.py

@@ -182,8 +182,7 @@ def board_github(
     --------
 
     >>> import os
-    >>> gh_token = os.environ.get("GITHUB_TOKEN")
-    >>> board = board_github("machow", "pins-python", "pins/tests/pins-compat", gh_token)
+    >>> board = board_github("machow", "pins-python", "pins/tests/pins-compat")
     >>> board.pin_list()
     ['df_arrow', 'df_csv', 'df_rds', 'df_unversioned']