dev updates

Author: sgbaird

docs/honegumi.html

@@ -33,7 +33,7 @@ Honegumi ([骨組み](https://translate.google.com/?sl=ja&tl=en&text=%E9%AA%A8%E
 Use Honegumi with ChatGPT to create non-halucinatory, custom Bayesian optimization scripts. See below for more info.
 ```
 
-LLMs are good at recognizing patterns but really bad at suggesting Bayesian optimization scripts from scratch. Since Honegumi is really good at programatically giving valid Bayes opt scripts, you can use Honegumi to get a template and then ask an LLM to adapt it to your use case. The two-minute video below shows how a Honegumi template can be adapted using GPT-4 to a cookie taste optimization as a function of flour, sugar, and butter content.
+LLMs are good at recognizing patterns but really bad at suggesting Bayesian optimization scripts from scratch. Since Honegumi is really good at programatically giving valid Bayes opt scripts, you can use Honegumi to get a template and then ask an LLM to adapt it to your use case. The two-minute video below shows how a Honegumi template can be adapted using an LLM (in our case, ChatGPT Plus) to a cookie taste optimization as a function of flour, sugar, and butter content.
 
 <iframe width="560" height="315" src="https://www.youtube.com/embed/rnI2BvGgP9o?si=HGODRbP19MlkC662" title="YouTube video player" frameborder="0" allow="accelerometer; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
 

docs/index.md

@@ -1,11 +1,11 @@
 import io
+import json
 import os
 from itertools import product
 from os import path
 from pathlib import Path
-from urllib.parse import urljoin
+from urllib.parse import quote, urljoin
 
-import json
 import jupytext
 import pandas as pd
 import pytest
@@ -133,7 +133,8 @@
         "tooltip": tooltips["synchrony"],
         "hidden": False,
     },
-    # TODO: Single vs. Batch vs. Asynchronous Optimization, e.g., get_next_trial() vs. get_next_trials() # noqa E501 # NOTE: AC Microcourses
+    # TODO: Single vs. Batch vs. Asynchronous Optimization, e.g., get_next_trial() vs. get_next_trials() # NOTE: AC Microcourses # noqa E501
+    # TODO: Consider adding "human-in-the-loop" toggle, or something else related to start/stop or blocking to wait for human input # noqa E501 # NOTE: AC Microcourses
 ]
 
 # E.g.,
@@ -326,8 +327,13 @@ def is_incompatible(opt):
         "https://colab.research.google.com/github/sgbaird/honegumi/blob/main/"
     )
 
-    notebook_path = path.join(GEN_NOTEBOOK_DIR, f"{rendered_template_stem}.ipynb")
-    colab_link = urljoin(colab_prefix, notebook_path)
+    notebook_fname = f"{rendered_template_stem}.ipynb"
+    notebook_path = path.join(GEN_NOTEBOOK_DIR, notebook_fname)
+    # HACK: issue with + encoding becoming %20 instead of %2B due to use of \\,
+    # and maybe other issues (hence both quote fn and replace line)
+    encoded_notebook_fname = quote(notebook_fname)
+    encoded_notebook_path = path.join(GEN_NOTEBOOK_DIR, encoded_notebook_fname)
+    colab_link = urljoin(colab_prefix, encoded_notebook_path).replace("\\", "/")
     colab_badge = f'<a href="{colab_link}"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a>'  # noqa E501
 
     preamble = f"{colab_badge} {github_badge}"

scripts/generate_scripts.py

@@ -73,7 +73,6 @@ exclude =
 # Add here developer requirements (semicolon/line-separated)
 dev =
     setuptools
-    pytest
     pytest-cov
     black[jupyter]
     mypy

setup.cfg

@@ -1,15 +1,18 @@
 def test_simple():
-    from ax.service.ax_client import AxClient
+    from ax.service.ax_client import AxClient, ObjectiveProperties
     from ax.utils.measurement.synthetic_functions import branin
 
+    obj1_name = "branin"
+
     ax_client = AxClient()
     ax_client.create_experiment(
         parameters=[
             {"name": "x1", "type": "range", "bounds": [-5.0, 10.0]},
             {"name": "x2", "type": "range", "bounds": [0.0, 10.0]},
         ],
-        objective_name="branin",
-        minimize=True,
+        objectives={
+            obj1_name: ObjectiveProperties(minimize=True),
+        },
     )
 
     for _ in range(15):