chore: Release 1.3.0 (#2700)

* Bump version: 1.2.0 → 1.3.0-rc.0

* Bump version: 1.3.0-rc.0 → 1.3.0

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.2.0
+current_version = 1.3.0
 commit = True
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?:-(?P<prerel>rc)\.(?P<prerelversion>\d+))?
 serialize = 

.github/workflows/compatibility_tests.yml

@@ -14,9 +14,9 @@ jobs:
   docker-build:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
       - name: Build docker image
@@ -28,24 +28,23 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        # note: The `macos-latest` is latest Catalina version, and not Big Sur. So we explicitly ask for Big Sur (`macos-11`)
+        os: [ubuntu-latest, macos-latest, macos-13]
-        os: [ubuntu-latest, macos-latest, macos-11]
+        python-version: ["3.10", "3.11", "3.12"]
-        python-version: [3.8, 3.9, 3.10, 3.11]
         cellxgene_build: [main, latest]
         # add anndata pinned version test for subset of matrix configurations,
         # in order to reduce matrix cross-product explosion
         include:
-          - python-version: 3.9
+          - python-version: 3.12
             cellxgene_build: latest
             # TODO: dynamically use the literal version in requirements.txt,
             # to avoid having to update this in manually in the future
             # TODO: Do not bother running this if anndata latest version
             # matches this pinned version, to avoid a redundant test
-            anndata_version: "==0.10.3"
+            anndata_version: "==0.10.9"
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
       - name: Cache env vars
@@ -55,14 +54,14 @@ jobs:
         run: echo "BREW_CACHE=`brew --cache`" >> $GITHUB_ENV
       # FIXME: Only working for Linux
       - name: Python cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ${{ env.PIP_CACHE }}
           key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
           restore-keys: |
             ${{ runner.os }}-pip-
       - name: Node cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ~/.npm
           key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
@@ -70,7 +69,7 @@ jobs:
             ${{ runner.os }}-node-
       - name: Brew cache (MacOS)
         if: startsWith(matrix.os, 'macos')
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ${{ env.BREW_CACHE }}
           key: ${{ runner.os }}-brew-
@@ -96,6 +95,7 @@ jobs:
           # keep same pip pkg versions as in the cxg release
           sed -i'' -e 's/-r requirements.txt//' server/requirements-dev.txt
           pip install -r server/requirements-dev.txt
+          pip install --force-reinstall numpy==2.0.1 numba>=0.60.0 pandas flatbuffers==2.0.7
       - name: Install anndata version per matrix variable
         run: pip install anndata${{ matrix.anndata_version }}
       - name: Install node

.github/workflows/push_tests.yml

@@ -14,15 +14,15 @@ jobs:
   lint:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - run: |
           git fetch --depth=1 origin +${{github.base_ref}}
-      - name: Set up Python 3.9
+      - name: Set up Python 3.12
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
-          python-version: 3.9
+          python-version: 3.12
       - name: Node cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ~/.npm
           key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
@@ -45,22 +45,22 @@ jobs:
   unit-test:
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
-      - name: Set up Python 3.9 (pyenv) # pyenv needed for mlflow in cli annotate tests
+      - name: Set up Python 3.12 (pyenv) # pyenv needed for mlflow in cli annotate tests
         uses: gabrielfalcao/pyenv-action@v9
         with:
-          default: 3.9
+          default: 3.12
           command: pip install -U pip # upgrade pip after installing python
       - run: pip install virtualenv # virtualenv needed for mlflow in cli annotate tests
       - name: Python cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ~/.cache/pip
           key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
           restore-keys: |
             ${{ runner.os }}-pip-
       - name: Node cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ~/.npm
           key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
@@ -78,27 +78,29 @@ jobs:
     runs-on: macos-latest
     timeout-minutes: 20
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
-      - name: Set up Python 3.9
+      - name: Set up Python 3.12
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
-          python-version: 3.9
+          python-version: 3.12
       - name: Python cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ~/.cache/pip
           key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements*.txt') }}
           restore-keys: |
             ${{ runner.os }}-pip-
       - name: Node cache
-        uses: actions/cache@v1
+        uses: actions/cache@v4
         with:
           path: ~/.npm
           key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
           restore-keys: |
             ${{ runner.os }}-node-
       - name: Install dependencies
-        run: make pydist install-dist
+        run: |
+          pip install setuptools
+          make pydist install-dist
       - name: Smoke tests (without annotations feature)
         run: |
           cd client && make smoke-test

README.md

@@ -27,7 +27,7 @@ Whether you need to visualize one thousand cells or one million, CELLxGENE Annot
 
 ### Quick start
 
-To install CELLxGENE Annotate you need Python 3.6+. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
+To install CELLxGENE Annotate you need Python 3.10+. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
 
 Install the package.
 
@@ -58,7 +58,7 @@ Please [file an issue](https://github.com/chanzuckerberg/cellxgene/issues/new/ch
 ### Finding help
 
 We'd love to hear from you!
-For questions, suggestions, or accolades, [join the `#cellxgene-users` channel on the CZI Science Slack](https://join-cellxgene-users.herokuapp.com/) and say "hi!".
+For questions, suggestions, or accolades, join the `#cellxgene-users` channel on the [CZI Science Community Slack](https://czi.co/science-slack) and say "hi!".
 
 For any errors, [report bugs on Github](https://github.com/chanzuckerberg/cellxgene/issues).
 
@@ -76,7 +76,6 @@ This project was started with the sole goal of empowering the scientific communi
 As such, we encourage other scientific tool builders in academia or industry to adopt the patterns, tools, and code from
 this project. All code is freely available for reuse under the [MIT license](https://opensource.org/licenses/MIT).
 
-
 Before extending CELLxGENE Annotate, we encourage you to reach out to us with ideas or questions. It might be possible that an
 extension could be directly contributed, which would make it available for a wider audience, or that it's on our
 [roadmap](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/roadmap.md) and under active development.

client/.nvmrc

@@ -0,0 +1 @@
+18.17.0

client/__tests__/e2e/puppeteer.setup.js

@@ -13,7 +13,7 @@ import * as ENV_DEFAULT from "../../../environment.default.json";
 // a test can take more time to finish, so we don't want
 // jest to shut off the test too soon
 jest.setTimeout(2 * 60 * 1000);
-setDefaultOptions({ timeout: 20 * 1000 });
+setDefaultOptions({ timeout: 60 * 1000 });
 
 jest.retryTimes(ENV_DEFAULT.RETRY_ATTEMPTS);
 

client/jest-puppeteer.config.js

@@ -14,6 +14,7 @@ const DEFAULT_LAUNCH_CONFIG = {
   headless: !isHeadful,
   args: ["--ignore-certificate-errors", "--ignore-ssl-errors"],
   ignoreHTTPSErrors: true,
+  timeout: 90000,
   defaultViewport: {
     width: 1280,
     height: 960,

client/package.json

@@ -1,6 +1,6 @@
 {
   "name": "cellxgene",
-  "version": "1.2.0",
+  "version": "1.3.0",
   "license": "MIT",
   "description": "cellxgene is a web application for the interactive exploration of single cell sequence data.",
   "repository": "https://github.com/chanzuckerberg/cellxgene",
@@ -18,7 +18,8 @@
   },
   "engineStrict": true,
   "engines": {
-    "npm": ">=3.0.0"
+    "npm": ">=9.6.7",
+    "node": "^18.17.0"
   },
   "eslintConfig": {
     "extends": "./configuration/eslint/eslint.js"
@@ -77,7 +78,7 @@
     "whatwg-fetch": "^3.2.0"
   },
   "devDependencies": {
-    "@babel/core": "^7.13.16",
+    "@babel/core": "^7.25.2",
     "@babel/plugin-proposal-class-properties": "^7.10.4",
     "@babel/plugin-proposal-decorators": "^7.13.15",
     "@babel/plugin-proposal-export-namespace-from": "^7.10.4",
@@ -123,7 +124,7 @@
     "jest-circus": "^27.0.6",
     "jest-environment-puppeteer": "^5.0.1",
     "jest-fetch-mock": "^3.0.3",
-    "jest-puppeteer": "^5.0.1",
+    "jest-puppeteer": "^6.2.0",
     "json-loader": "^0.5.7",
     "lint-staged": "^10.2.11",
     "lodash": "^4.17.21",
@@ -134,11 +135,11 @@
     "lodash.zip": "^4.2.0",
     "mini-css-extract-plugin": "^1.5.0",
     "prettier": "^2.0.5",
-    "puppeteer": "^8.0.0",
+    "puppeteer": "^10.4.0",
     "rimraf": "^3.0.2",
     "serve-favicon": "^2.5.0",
     "terser-webpack-plugin": "^5.1.1",
-    "webpack": "^5.88.2",
+    "webpack": "^5.94.0",
     "webpack-cli": "^4.6.0",
     "webpack-dev-middleware": "^4.1.0",
     "webpack-merge": "^5.0.9",

client/src/components/leftSidebar/infoMenu.js

@@ -16,7 +16,7 @@ const InformationMenu = React.memo((props) => {
             rel="noopener"
           />
           <MenuItem
-            href="https://join-cellxgene-users.herokuapp.com/"
+            href="https://czi.co/science-slack"
             target="_blank"
             icon="chat"
             text="Chat"

dev_docs/developer_guidelines.md

@@ -3,7 +3,7 @@
 ## Requirements
 
 - npm
-- Python 3.6+
+- Python 3.10+
 - Chrome
 
 [See dev section of README](../README.md)
@@ -148,6 +148,6 @@ If you would like to run the smoke tests against a hot-reloaded version of the c
 
 ### Tips
 
-- You can also install/launch the server side code from npm scrips (requires python3.6 with virtualenv) with the `scripts/backend_dev` script.
+- You can also install/launch the server side code from npm scrips (requires python3.10 with virtualenv) with the `scripts/backend_dev` script.
 
 - Check out [e2e Tests](e2e_tests.md) for more details

dev_docs/developer_scripts.md

@@ -11,9 +11,10 @@ $PROJECT_ROOT`.
 ### Build
 
 **Usage:** from the `$PROJECT_ROOT` directory run:
-* `make build` builds whole app client and server
+
-* `make build-client` runs webpack build
+- `make build` builds whole app client and server
-* `make build-for-server-dev` builds client and copies output directly into
+- `make build-client` runs webpack build
+- `make build-for-server-dev` builds client and copies output directly into
   source tree (only for server devlopment)
 
 ### Clean
@@ -21,17 +22,19 @@ $PROJECT_ROOT`.
 Deletes generated files.
 
 **Usage:** from the `$PROJECT_ROOT` directory run:
-* `make clean` cleans everything including node modules (means build with take
+
+- `make clean` cleans everything including node modules (means build with take
   a while
-* `make clean-lite` cleans built directories
+- `make clean-lite` cleans built directories
-* `make clean-server` cleans source tree
+- `make clean-server` cleans source tree
 
 ### Distribution
 
 Creates distribution for python module to upload to pypi.
 
 **Usage:** from the `$PROJECT_ROOT` directory run:
-* `make pydist` builds code and then builds sdist
+
+- `make pydist` builds code and then builds sdist
 
 ### Release
 
@@ -42,16 +45,18 @@ See `release_process.md`.
 Installs requirements files.
 
 **Usage:** from the `$PROJECT_ROOT` directory run:
-* `make dev-env` installs requirements and requirments-dev (for building code)
+
+- `make dev-env` installs requirements and requirments-dev (for building code)
 
 ### Installing cellxgene packages
 
 **Usage:** from the `$PROJECT_ROOT` directory:
-* `install-dev` - installs from local source tree
+
-* `install-release-test` - installs from test pypi
+- `install-dev` - installs from local source tree
-* `install-release` - installs from pypi
+- `install-release-test` - installs from test pypi
-* `install-dist` - installs from local dist folder
+- `install-release` - installs from pypi
-* `uninstall` - uninstalls cellxgene
+- `install-dist` - installs from local dist folder
+- `uninstall` - uninstalls cellxgene
 
 ## Client-level scripts
 
@@ -62,8 +67,9 @@ Installs requirements files.
 **About** Serve the current client javascript independently from the `server` code.
 
 **Requires**
-* The server to be running. Best way to do this is with [backend_dev](#backend_dev).
+
-* `make ci` to install the necessary node modules
+- The server to be running. Best way to do this is with [backend_dev](#backend_dev).
+- `make ci` to install the necessary node modules
 
 **Usage:** from the `$PROJECT_ROOT/client` directory run `make start-frontend`
 
@@ -75,23 +81,24 @@ the FE developer gets the current version of the backend with a single command
 and no knowledge of python necessary. It creates and activates a virtual
 environment and installs cellxgene from the current branch.
 
-**Requires** `Python3.6+`, `virtual-env`, `pip`
+**Requires** `Python3.10+`, `virtual-env`, `pip`
 
 **Usage:** from the `$PROJECT_ROOT` directory run `./scripts/backend_dev`
 
 **Options:**
-* In parallel, you can then launch the node development server to serve the
+
+- In parallel, you can then launch the node development server to serve the
   current state of the FE with [`start-frontend`](#start-frontend), usually in
   a different terminal tab.
-* You can also select a specific dataset using `DATASET=<dataset path> ./scripts/backend_dev`.
+- You can also select a specific dataset using `DATASET=<dataset path> ./scripts/backend_dev`.
-* You can also use `CXG_OPTIONS` to pass options to the `cellxgene launch`
+- You can also use `CXG_OPTIONS` to pass options to the `cellxgene launch`
   command, as in `CXG_OPTIONS='--disable-annotations' ./scripts/backend_dev`.
 
 **Breakdown**
 
 | command                                  | purpose                                                    |
 | ---------------------------------------- | ---------------------------------------------------------- |
-| python3.6 -m venv cellxgene              | creates cellxgene virtual environment                      |
+| python3.12 -m venv cellxgene             | creates cellxgene virtual environment                      |
 | source cellxgene/bin/activate            | activates virtual environment                              |
 | yes \| pip uninstall cellxgene \|\| true | uninstalls cellxgene (if installed)                        |
 | pip install -e .                         | installs current local version of cellxgene                |
@@ -102,14 +109,15 @@ environment and installs cellxgene from the current branch.
 Methods used to test the client javascript code
 
 **Usage:** from the `$PROJECT_ROOT/client` directory run:
-* `make unit-test` Runs all unit tests. It excludes any tests in the e2e
+
+- `make unit-test` Runs all unit tests. It excludes any tests in the e2e
   folder. This is used by travis to run unit tests.
-* `make smoke-test` Starts backend development server and runs end to end
+- `make smoke-test` Starts backend development server and runs end to end
   tests. This is what travis runs. It depends on the `e2e` and the
   `backend-dev` targets. One starts the server, the other runs the tests. If
   developing a front-end feature and just checking if tests pass, this is
   probabaly the one you want to run.
-* `npm run e2e` Runs backend tests without starting the server. You will need to
+- `npm run e2e` Runs backend tests without starting the server. You will need to
   start the rest api separately with the pbmc3k.h5ad file. Note you can use
   the `JEST_ENV` environment variable to change how JEST runs in the browser.
   The test runs against `localhost:3000` by default. You can use the

server/__init__.py

@@ -2,7 +2,7 @@ import logging
 import sys
 from server.common.utils.utils import import_plugins
 
-__version__ = "1.2.0"
+__version__ = "1.3.0"
 display_version = "cellxgene v" + __version__
 
 try:

server/common/config/dataset_config.py

@@ -176,7 +176,7 @@ class DatasetConfig(BaseConfig):
         self.validate_correct_type_of_configuration_attribute("diffexp__top_n", int)
 
         data_adaptor = self.get_data_adaptor()
-        if self.diffexp__enable and data_adaptor.parameters.get("diffexp_may_be_slow", False):
+        if self.diffexp__enable and data_adaptor.parameters.get("diffexp-may-be-slow", False):
             context["messagefn"](
                 "CAUTION: due to the size of your dataset, " "running differential expression may take longer or fail."
             )

server/common/utils/type_conversion_utils.py

@@ -140,7 +140,6 @@ def _get_type_info(array: Union[np.ndarray, pd.Series, pd.Index]) -> Tuple[np.dt
 
     if dtype.kind in ["i", "u"] and _can_cast_array_values_to_int32(array):
         return (np.int32, {"type": "int32"})
-
     if dtype.kind == "f":
         _float64_warning(array.dtype)
         return (np.float32, {"type": "float32"})

server/data_anndata/anndata_adaptor.py

@@ -211,7 +211,7 @@ class AnndataAdaptor(DataAdaptor):
         # heuristic
         n_values = self.data.shape[0] * self.data.shape[1]
         if (n_values > 1e8 and self.server_config.adaptor__anndata_adaptor__backed is True) or (n_values > 5e8):
-            self.parameters.update({"diffexp_may_be_slow": True})
+            self.parameters.update({"diffexp-may-be-slow": True})
 
     def _is_valid_layout(self, arr):
         """return True if this layout data is a valid array for front-end presentation:

server/requirements-annotate.txt

@@ -1,2 +1,2 @@
-mlflow==1.27.0
+mlflow==2.16.0
 scanpy

server/requirements.txt

@@ -7,16 +7,17 @@ Flask-Cors>=3.0.9
 Flask-RESTful>=0.3.6
 flask-server-timing>=0.1.2
 flask-talisman>=0.7.0
-flatbuffers>=1.11.0,<2.0.0 # cellxgene is not compatible with 2.0.0. Requires migration
+flatbuffers==2.0.7
 flatten-dict>=0.2.0
 fsspec>0.8.0
 gunicorn>=20.0.4
 h5py>=3.0.0
-numba>=0.51.2
+numba>=0.60.0
-numpy>1.22
+numpy==2.0.1
 packaging>=20.0
-pandas<2.0.0
+pandas>=2.2.2
 PyYAML>=5.4  # CVE-2020-14343
 requests>=2.22.0
 s3fs==0.4.2
 scipy>=1.4
+setuptools

setup.py

@@ -14,7 +14,7 @@ with open("server/requirements-annotate.txt") as fh:
 
 setup(
     name="cellxgene",
-    version="1.2.0",
+    version="1.3.0",
     packages=find_packages(),
     url="https://github.com/chanzuckerberg/cellxgene",
     license="MIT",
@@ -24,7 +24,7 @@ setup(
     long_description=long_description,
     long_description_content_type="text/markdown",
     install_requires=requirements,
-    python_requires=">=3.6",
+    python_requires=">=3.10",
     include_package_data=True,
     zip_safe=False,
     classifiers=[
@@ -37,8 +37,9 @@ setup(
         "Operating System :: MacOS :: MacOS X",
         "Programming Language :: JavaScript",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.6",
+        "Programming Language :: Python :: 3.10",
-        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
         "Programming Language :: Python :: 3 :: Only",
         "Topic :: Scientific/Engineering :: Bio-Informatics",
     ],

test/unit/compute/test_est_dist.py

@@ -65,13 +65,13 @@ class EstDistTest(unittest.TestCase):
 
         # non-finites
         self.assertEqual(estimate_approximate_distribution(np.array([np.nan])), XApproximateDistribution.NORMAL)
-        self.assertEqual(estimate_approximate_distribution(np.array([np.PINF])), XApproximateDistribution.NORMAL)
+        self.assertEqual(estimate_approximate_distribution(np.array([np.inf])), XApproximateDistribution.NORMAL)
-        self.assertEqual(estimate_approximate_distribution(np.array([np.NINF])), XApproximateDistribution.NORMAL)
+        self.assertEqual(estimate_approximate_distribution(np.array([np.inf])), XApproximateDistribution.NORMAL)
         self.assertEqual(
-            estimate_approximate_distribution(np.array([np.PINF, np.NINF, 0])), XApproximateDistribution.NORMAL
+            estimate_approximate_distribution(np.array([np.inf, np.inf, 0])), XApproximateDistribution.NORMAL
         )
         self.assertEqual(
-            estimate_approximate_distribution(np.array([np.nan, np.PINF, np.NINF])), XApproximateDistribution.NORMAL
+            estimate_approximate_distribution(np.array([np.nan, np.inf, np.inf])), XApproximateDistribution.NORMAL
         )
 
         raw = np.random.exponential(scale=1000, size=(50, 3))
@@ -82,15 +82,15 @@ class EstDistTest(unittest.TestCase):
             XApproximateDistribution.COUNT,
         )
         self.assertEqual(
-            estimate_approximate_distribution(put(raw, [1], [np.PINF])),
+            estimate_approximate_distribution(put(raw, [1], [np.inf])),
             XApproximateDistribution.COUNT,
         )
         self.assertEqual(
-            estimate_approximate_distribution(put(raw, [1], [np.NINF])),
+            estimate_approximate_distribution(put(raw, [1], [np.inf])),
             XApproximateDistribution.COUNT,
         )
         self.assertEqual(
-            estimate_approximate_distribution(put(raw, [1, 3, 88], [np.nan, np.PINF, np.NINF])),
+            estimate_approximate_distribution(put(raw, [1, 3, 88], [np.nan, np.inf, np.inf])),
             XApproximateDistribution.COUNT,
         )
         self.assertEqual(
@@ -103,15 +103,15 @@ class EstDistTest(unittest.TestCase):
             XApproximateDistribution.NORMAL,
         )
         self.assertEqual(
-            estimate_approximate_distribution(put(logged, [1], [np.PINF])),
+            estimate_approximate_distribution(put(logged, [1], [np.inf])),
             XApproximateDistribution.NORMAL,
         )
         self.assertEqual(
-            estimate_approximate_distribution(put(logged, [1], [np.NINF])),
+            estimate_approximate_distribution(put(logged, [1], [np.inf])),
             XApproximateDistribution.NORMAL,
         )
         self.assertEqual(
-            estimate_approximate_distribution(put(logged, [1, 3, 88], [np.nan, np.PINF, np.NINF])),
+            estimate_approximate_distribution(put(logged, [1, 3, 88], [np.nan, np.inf, np.inf])),
             XApproximateDistribution.NORMAL,
         )
         self.assertEqual(

test/unit/utils/test_jsonify_strict.py

@@ -16,10 +16,10 @@ class TestJsonifyStrict(unittest.TestCase):
             jsonify_strict({"nan": [np.nan]})
 
         with self.assertRaises(ValueError):
-            jsonify_strict({"pinf": [np.PINF]})
+            jsonify_strict({"pinf": [np.inf]})
 
         with self.assertRaises(ValueError):
-            jsonify_strict({"ninf": [np.NINF]})
+            jsonify_strict({"ninf": [np.inf]})
 
     def test_jsonify_numpy_ndarray(self):
         values = {

test/unit/utils/test_type_conversion_utils.py

@@ -42,7 +42,7 @@ class TestTypeConversionUtils(unittest.TestCase):
             with self.assertRaises(TypeError):
                 get_schema_type_hint_from_dtype(np.dtype(dtype))
 
-        for dtype in [np.float16, np.float32, np.float64]:
+        for dtype in [np.float32, np.float64]:
             self.assertEqual(get_schema_type_hint_from_dtype(np.dtype(dtype)), {"type": "float32"})
 
         for dtype in [np.dtype(object), np.dtype(str)]:
@@ -123,17 +123,18 @@ int_OK_cases = [
 
 float_OK_cases = [
     {
+        "test_case": "float_OK_cases",
         "data": data,
         "expected_encoding_dtype": np.float32,
         "expected_schema_hint": {"type": "float32"},
-        "logs": None if data.dtype != np.float64 else {"level": logging.WARNING, "output": "may lose precision"},
+        "logs": None if dtype == np.float32 else {"level": logging.WARNING, "output": "may lose precision"},
     }
-    for dtype in [np.float16, np.float32, np.float64]
+    for dtype in [np.float32, np.float64]
     for data in [
         np.arange(-128, 1000, dtype=dtype),
         pd.Series(np.arange(-128, 1000, dtype=dtype)),
         pd.Index(np.arange(-129, 1000, dtype=dtype)),
-        np.array([-np.nan, np.NINF, -1, np.NZERO, 0, np.PZERO, 1, np.PINF, np.nan], dtype=dtype),
+        np.array([-np.nan, -np.inf, -1, -0.0, 0, 0.0, 1, np.inf, np.nan], dtype=dtype),
         np.array([np.finfo(dtype).min, 0, np.finfo(dtype).max], dtype=dtype),
         sparse.csr_matrix((10, 100), dtype=dtype),
     ]
@@ -198,12 +199,13 @@ category_numeric_OK_cases = [
     # numeric, no NA/NaN, float
     *[
         {
+            "test_case": "numeric, no NA/NaN, float",
             "data": data,
             "expected_encoding_dtype": np.float32,
             "expected_schema_hint": {"type": "categorical"},
-            "logs": {"level": logging.WARNING, "output": "may lose precision"},
+            "logs": None if dtype == np.float32 else {"level": logging.WARNING, "output": "may lose precision"},
         }
-        for dtype in [np.float16, np.float32, np.float64]
+        for dtype in [np.float32, np.float64]
         for data in [
             pd.Series(np.array([0, 1, 2], dtype=dtype), dtype="category"),
             pd.Series(np.array([0, 1, 2], dtype=dtype), dtype="category").cat.remove_categories([1]),
@@ -213,10 +215,11 @@ category_numeric_OK_cases = [
     # numeric, has NA-induced cast to float32
     *[
         {
+            "test_case": "numeric, has NA-induced cast to float32",
             "data": data,
             "expected_encoding_dtype": np.float32,
             "expected_schema_hint": {"type": "categorical"},
-            "logs": {"level": logging.WARNING, "output": "may lose precision"},
+            "logs": None if dtype == np.float32 else {"level": logging.WARNING, "output": "may lose precision"},
         }
         for dtype in [
             np.int8,
@@ -227,7 +230,6 @@ category_numeric_OK_cases = [
             np.uint32,
             np.int64,
             np.uint64,
-            np.float16,
             np.float32,
             np.float64,
         ]
@@ -312,7 +314,6 @@ class TestTypeInference(unittest.TestCase, AssertNoLog):
                     self.assertEqual(encoding_dtype, self.expected_encoding_dtype)
                     self.assertEqual(schema_hint, self.expected_schema_hint)
                     self.assertIn(logs["output"], logger.output[0])
-
             else:
                 with self.assertNoLogs(logging.getLogger(), logging.WARNING):
                     encoding_dtype, schema_hint = get_dtype_and_schema_of_array(self.data)