Merge pull request #2171 from posit-dev/mm-update-test-deps

Update test deps

test/sample-content/quarto-proj-py/requirements.txt

@@ -1,5 +1,5 @@
 black==24.3.0
-certifi==2023.7.22
+certifi==2024.7.4
 click==8.0.3
 mypy-extensions==0.4.3
 pathspec==0.9.0

test/sample-content/stock-report-jupyter/README.md

@@ -0,0 +1,19 @@
+# Stock Report
+
+## About this example
+
+This stock report is generated using Python and Jupyter Notebook. Stock prices are populated from Quandl to generate a stock performance summary intended to run daily after market close.
+
+
+## Learn more
+
+* [Jupyter Homepage](https://jupyter.org/)
+* [Jupyter Documentation](https://jupyter.org/documentation)
+* [Using Jupyter Notebooks in {systemDisplayName}](https://docs.posit.co/connect/user/jupyter-notebook/)
+* [User Guide for rsconnect_jupyter](https://docs.posit.co/rsconnect-jupyter/)
+
+## Requirements
+
+* Python version 3.9 or higher
+
+<!-- NOTE: this file is generated -->

test/sample-content/stock-report-jupyter/requirements.txt

@@ -1,95 +1,10 @@
-anyio==3.6.2
-appnope==0.1.3
-argon2-cffi==21.3.0
-argon2-cffi-bindings==21.2.0
-arrow==1.2.3
-asttokens==2.2.1
-attrs==23.1.0
-backcall==0.2.0
-beautifulsoup4==4.12.2
-bleach==6.0.0
-cffi==1.15.1
-comm==0.1.3
-contourpy==1.0.7
-cycler==0.11.0
-debugpy==1.6.7
-decorator==5.1.1
-defusedxml==0.7.1
-executing==1.2.0
-fastjsonschema==2.16.3
-fonttools==4.39.4
-fqdn==1.5.1
-idna==3.4
-ipykernel==6.23.1
-ipython==8.13.2
-ipython-genutils==0.2.0
-ipywidgets==8.0.6
-isoduration==20.11.0
-jedi==0.18.2
-jinja2==3.1.2
-jsonpointer==2.3
-jsonschema[format-nongpl]==4.17.3
-jupyter==1.0.0
-jupyter-client==8.2.0
+# jupyter
+notebook==7.1.1
+qtconsole==5.5.1
 jupyter-console==6.6.3
-jupyter-core==5.3.0
-jupyter-events==0.6.3
-jupyter-server==2.5.0
-jupyter-server-terminals==0.4.4
-jupyterlab-pygments==0.2.2
-jupyterlab-widgets==3.0.7
-kiwisolver==1.4.4
-markupsafe==2.1.2
-matplotlib==3.7.1
-matplotlib-inline==0.1.6
-mistune==2.0.5
-nbclassic==1.0.0
-nbclient==0.7.4
-nbconvert==7.4.0
-nbformat==5.8.0
-nest-asyncio==1.5.6
-notebook==6.5.4
-notebook-shim==0.2.3
-numpy==1.24.3
-packaging==23.1
-pandas==2.0.1
-pandocfilters==1.5.0
-parso==0.8.3
-pexpect==4.8.0
-pickleshare==0.7.5
-pillow==9.5.0
-platformdirs==3.5.1
-prometheus-client==0.16.0
-prompt-toolkit==3.0.38
-psutil==5.9.5
-ptyprocess==0.7.0
-pure-eval==0.2.2
-pycparser==2.21
-pygments==2.15.1
-pyparsing==3.0.9
-pyrsistent==0.19.3
-python-dateutil==2.8.2
-python-json-logger==2.0.7
-pytz==2023.3
-pyyaml==6.0
-pyzmq==25.0.2
-qtconsole==5.4.3
-qtpy==2.3.1
-rfc3339-validator==0.1.4
-rfc3986-validator==0.1.1
-send2trash==1.8.2
-six==1.16.0
-sniffio==1.3.0
-soupsieve==2.4.1
-stack-data==0.6.2
-terminado==0.17.1
-tinycss2==1.2.1
-tornado==6.3.2
-traitlets==5.9.0
-tzdata==2023.3
-uri-template==1.2.0
-wcwidth==0.2.6
-webcolors==1.13
-webencodings==0.5.1
-websocket-client==1.5.1
-widgetsnbextension==4.0.7
+nbconvert==7.16.1
+ipykernel==6.29.3
+ipywidgets==8.1.2
+
+matplotlib==3.8.3
+pandas==2.2.1

test/sample-content/stock-report-jupyter/stock-report-jupyter.ipynb

@@ -89,16 +89,17 @@
     "\n",
     "prices = pd.read_json(gzip.open('quandl-wiki-tsla.json.gz'), orient='split')\n",
     "\n",
+    "latest = prices.last_valid_index()\n",
     "data=[\n",
     "    [\n",
-    "        prices.last('1d')['High'].values[0],\n",
-    "        prices.last('1d')['Low'].values[0],\n",
-    "        prices.last('1d')['Volume'].values[0].round(),\n",
+    "        prices[latest:]['High'].values[0],\n",
+    "        prices[latest:]['Low'].values[0],\n",
+    "        prices[latest:]['Volume'].values[0].round(),\n",
     "    ],\n",
     "    [\n",
-    "        prices.asfreq('D').rolling(window=52*7, min_periods=1).max().last('1d')['High'].values[0],\n",
-    "        prices.asfreq('D').rolling(window=52*7, min_periods=1).min().last('1d')['Low'].values[0],\n",
-    "        prices.asfreq('D').rolling(window=52*7, min_periods=1).mean().last('1d')['Volume'].values[0].round(),\n",
+    "        prices.asfreq('D').rolling(window=52*7, min_periods=1).max()[latest:]['High'].values[0],\n",
+    "        prices.asfreq('D').rolling(window=52*7, min_periods=1).min()[latest:]['Low'].values[0],\n",
+    "        prices.asfreq('D').rolling(window=52*7, min_periods=1).mean()[latest:]['Volume'].values[0].round(),\n",
     "    ]\n",
     "]\n",
     "\n",