Fix responsibleai toolbox build failures due to dependency updates (#2571)

.github/workflows/CI-python.yml

@@ -48,6 +48,11 @@ jobs:
           pip install --upgrade setuptools
           pip install --upgrade "pip-tools<=7.1.0"
 
+      - if: ${{ matrix.operatingSystem == 'macos-latest' }}
+        name: Use Homebrew to install libomp on MacOS
+        run: |
+          brew install libomp
+
       - name: Install package dependencies
         run: |
           pip install -r requirements-dev.txt

.github/workflows/CI-raiwidgets-pytest.yml

@@ -48,7 +48,7 @@ jobs:
         name: Install latest numpy from conda-forge for MacOS
         shell: bash -l {0}
         run: |
-          conda install --yes --quiet -c conda-forge numpy
+          conda install --yes --quiet -c conda-forge "numpy<2.0.0"
 
       - if: ${{ matrix.operatingSystem == 'macos-latest' }}
         name: Use Homebrew to install libomp on MacOS

erroranalysis/requirements.txt

@@ -1,4 +1,4 @@
-numpy>=1.17.2
+numpy>=1.17.2,<2.0.0
 pandas>=0.25.1,<2.0.0
 scipy>=1.4.1
 scikit-learn>=0.22.1

notebooks/responsibleaidashboard/text/responsibleaidashboard-blbooksgenre-binary-text-classification-model-debugging.ipynb

@@ -100,7 +100,7 @@
     "\n",
     "def load_dataset(split):\n",
     "    config_kwargs = {\"name\": \"title_genre_classifiction\"}\n",
-    "    dataset = datasets.load_dataset(\"blbooksgenre\", split=split, **config_kwargs)\n",
+    "    dataset = datasets.load_dataset(\"blbooksgenre\", split=split, trust_remote_code=True, **config_kwargs)\n",
     "    return pd.DataFrame({\"text\": dataset[\"title\"], \"label\": dataset[\"label\"]})\n",
     "\n",
     "pd_data = load_dataset(\"train\")\n",

notebooks/responsibleaidashboard/vision/responsibleaidashboard-fridge-object-detection-model-debugging.ipynb

@@ -115,8 +115,8 @@
     "    os.makedirs(\"data\", exist_ok=True)\n",
     "\n",
     "    # download data\n",
-    "    download_url = (\"https://cvbp-secondary.z19.web.core.windows.net/\" +\n",
-    "                    \"datasets/object_detection/odFridgeObjects.zip\")\n",
+    "    download_url = (\"https://publictestdatasets.blob.core.windows.net/\" +\n",
+    "                    \"computervision/odFridgeObjects.zip\")\n",
     "    data_file = \"./odFridgeObjects.zip\"\n",
     "    urlretrieve(download_url, filename=data_file)\n",
     "\n",

rai_test_utils/rai_test_utils/datasets/vision/object_detection_data_utils.py

@@ -188,8 +188,8 @@ def load_fridge_object_detection_dataset():
     os.makedirs("data", exist_ok=True)
 
     # download data
-    download_url = ("https://cvbp-secondary.z19.web.core.windows.net/" +
-                    "datasets/object_detection/odFridgeObjects.zip")
+    download_url = ("https://publictestdatasets.blob.core.windows.net/" +
+                    "computervision/odFridgeObjects.zip")
     data_file = "./odFridgeObjects.zip"
     request_file.urlretrieve(download_url, filename=data_file)
 

rai_test_utils/requirements-dev.txt

@@ -5,6 +5,7 @@ pytest-mock==3.6.1
 requirements-parser==0.2.0
 
 pandas>=0.25.1,<2.0.0
+numpy<2.0.0
 ml-wrappers
 requests
 Pillow>=10.0.0; python_version>"3.7" # due to breaking changes in v10.0.0 (https://pillow.readthedocs.io/en/latest/releasenotes/10.0.0.html)

raiutils/requirements-dev.txt

@@ -5,3 +5,4 @@ pytest-mock==3.6.1
 requirements-parser==0.2.0
 
 pandas>=0.25.1,<2.0.0
+numpy<2.0.0

raiwidgets/raiwidgets/fairness_dashboard.py

@@ -149,6 +149,8 @@ class FairnessDashboard(Dashboard):
                     ][0].values()),
                 }}
                 if error_function_name in metric_method:
+                    group_by_error = metric_frame.by_group[error_function_name]
+                    bounds_list = list(group_by_error.to_dict().values())
                     result["data"].update({
                         "bounds": {
                             "lower":
@@ -161,9 +163,7 @@ class FairnessDashboard(Dashboard):
                             "lower": bounds[0],
                             "upper": bounds[1]
                         }
-                            for bounds in list(
-                                metric_frame.by_group[error_function_name]\
-                                .to_dict().values())]
+                            for bounds in bounds_list]
                     })
                 return jsonify(result)
             except Exception as ex:

responsibleai_text/requirements.txt

@@ -1,4 +1,4 @@
-numpy>=1.17.2
+numpy>=1.17.2,<2.0.0
 pandas>=0.25.1
 scikit-learn>=0.22.1
 scipy>=1.4.1

responsibleai_text/tests/common_text_utils.py

@@ -112,6 +112,7 @@ def load_covid19_emergency_event_dataset(with_metadata=False):
 def load_blbooks_genre_dataset():
     config_kwargs = {"name": "annotated_raw"}
     dataset = datasets.load_dataset("blbooksgenre", split="train",
+                                    trust_remote_code=True,
                                     **config_kwargs)
     grouping_col = 'BL record ID'
     columns = {"text": dataset["Title"],

responsibleai_vision/requirements.txt

@@ -1,4 +1,4 @@
-numpy>=1.17.2
+numpy>=1.17.2,<2.0.0
 pandas>=0.25.1,<2.0.0 # TODO: remove ceiling on version.
 Pillow>=10.0.0; python_version>"3.7" # due to breaking changes in v10.0.0 (https://pillow.readthedocs.io/en/latest/releasenotes/10.0.0.html)
 Pillow<10.0.0; python_version<="3.7" # Pillow v10.0.0 is only available starting with Python 3.8

responsibleai_vision/tests/common_vision_utils.py

@@ -293,8 +293,8 @@ def load_fridge_object_detection_dataset(automl_format=False):
     os.makedirs("data", exist_ok=True)
 
     # download data
-    download_url = ("https://cvbp-secondary.z19.web.core.windows.net/" +
-                    "datasets/object_detection/odFridgeObjects.zip")
+    download_url = ("https://publictestdatasets.blob.core.windows.net/" +
+                    "computervision/odFridgeObjects.zip")
     data_file = "./odFridgeObjects.zip"
     retrieve_unzip_file(download_url, data_file)