The version dependence to numpy has not been given obviously

[ryankamanri]

I found the error when i use the latest version of pyworld(0.3.4) with the numpy version 1.22.4:

concurrent.futures.process._RemoteTraceback: 
"""
Traceback (most recent call last):
  File "__init__.cython-30.pxd", line 984, in numpy.import_array
RuntimeError: module compiled against API version 0x10 but this version of numpy is 0xf . Check the section C-API incompatibility at t
he Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for in
dications on how to solve this problem .

 File "${SOMEWHERE}/foo.py", line 2, in <modul
e>
    import pyworld
  File "C:\ProgramData\Anaconda3\lib\site-packages\pyworld\__init__.py", line 17, in <module>
    from .pyworld import *
  File "pyworld\\pyworld.pyx", line 6, in init pyworld.pyworld
  File "__init__.cython-30.pxd", line 986, in numpy.import_array
ImportError: numpy.core.multiarray failed to import
"""

when I change the version of pyworld to 0.3.0 it works normally.
but it has not any remind in pip.

pyworld==0.3.4
├── Cython [required: >=0.24, installed: 0.29.23]
└── numpy [required: Any, installed: 1.22.4]

[sabonerune]

There is a workaround below.

1. rebuild pyworld
   If you don't have it installed, please install MSVC.

pip install wheel setuptools numpy==1.22.4 Cython
pip install --no-build-isolation --no-binary :all: pyworld

2. use Python>=3.9

---

The root cause is numpy's ABI compatibility.
Nunpy - Build-time dependency

Before NumPy 1.25, the NumPy C-API was not backwards compatible. This means that when compiling with a NumPy version earlier than 1.25 you have to compile with the oldest version you wish to support. This can be done by using oldest-supported-numpy. Please see the NumPy 1.24 documentation.

So changing pyploject.toml to:

Python-Wrapper-for-World-Vocoder/pyproject.toml

Lines 2 to 7 in fa84b8b

	requires = [
	"wheel",
	"setuptools",
	"numpy",
	"cython",
	]

-    "numpy",
+    "numpy>=1.25.0; python_version>='3.9'",
+    "oldest-supported-numpy; python_version<'3.9'",