update dtype API and get nightly wheels from new location

.github/workflows/ci.yml

@@ -18,7 +18,7 @@ jobs:
           python-version: "3.10"
       - name: Install build and test dependencies
         run: |
-          pip install -i https://pypi.anaconda.org/scipy-wheels-nightly/simple numpy
+          pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
           python -m pip install -U pip build pytest unyt wheel meson ninja meson-python patchelf
       - name: Install asciidtype
         working-directory: asciidtype

asciidtype/asciidtype/src/asciidtype_main.c

@@ -22,7 +22,7 @@ PyInit__asciidtype_main(void)
         return NULL;
     }
 
-    if (import_experimental_dtype_api(10) < 0) {
+    if (import_experimental_dtype_api(11) < 0) {
         return NULL;
     }
 

asv_benchmarks/asv.conf.json

@@ -22,7 +22,7 @@
     // uninstalling the project. See asv.conf.json documentation.
     //
     "install_command": [
-      "pip install -i https://pypi.anaconda.org/scipy-wheels-nightly/simple numpy",
+      "pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy",
       "pip install meson-python patchelf wheel",
       "in-dir={conf_dir} pip install ../asciidtype/ --no-build-isolation",
       "in-dir={conf_dir} pip install ../stringdtype/ --no-build-isolation"

metadatadtype/metadatadtype/src/metadatadtype_main.c

@@ -21,7 +21,7 @@ PyInit__metadatadtype_main(void)
     if (_import_array() < 0) {
         return NULL;
     }
-    if (import_experimental_dtype_api(10) < 0) {
+    if (import_experimental_dtype_api(11) < 0) {
         return NULL;
     }
 

mpfdtype/mpfdtype/src/mpfdtype_main.c

@@ -22,7 +22,7 @@ PyInit__mpfdtype_main(void)
     if (_import_array() < 0) {
         return NULL;
     }
-    if (import_experimental_dtype_api(10) < 0) {
+    if (import_experimental_dtype_api(11) < 0) {
         return NULL;
     }
 

quaddtype/README.md

@@ -9,7 +9,7 @@ isolation so that the `quaddtype` can link against the experimental dtype API
 headers, which aren't in the latest releases of `numpy`:
 
 ```bash
-pip install -i https://pypi.anaconda.org/scipy-wheels-nightly/simple numpy
+pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
 pip install . --no-build-isolation
 ```
 

quaddtype/quaddtype/src/quaddtype_main.c

@@ -23,7 +23,7 @@ PyInit__quaddtype_main(void)
         return NULL;
 
     // Fail to init if the experimental DType API version 5 isn't supported
-    if (import_experimental_dtype_api(10) < 0) {
+    if (import_experimental_dtype_api(11) < 0) {
         PyErr_SetString(PyExc_ImportError,
                         "Error encountered importing the experimental dtype API.");
         return NULL;

stringdtype/README.md

@@ -17,7 +17,7 @@ It is important to have the latest development version of numpy installed.
 Nightly wheels work well for this purpose, and can be installed easily:
 
 ```bash
-$ pip install -i https://pypi.anaconda.org/scipy-wheels-nightly/simple numpy
+$ pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
 ```
 
 Build with meson, create a wheel, and install it.

stringdtype/stringdtype/src/main.c

@@ -91,7 +91,7 @@ PyInit__main(void)
     if (_import_array() < 0) {
         return NULL;
     }
-    if (import_experimental_dtype_api(10) < 0) {
+    if (import_experimental_dtype_api(11) < 0) {
         return NULL;
     }
 

unytdtype/unytdtype/src/unytdtype_main.c

@@ -21,7 +21,7 @@ PyInit__unytdtype_main(void)
     if (_import_array() < 0) {
         return NULL;
     }
-    if (import_experimental_dtype_api(10) < 0) {
+    if (import_experimental_dtype_api(11) < 0) {
         return NULL;
     }