Enable Python-3.11 binary builds across the board (pytorch#94430)

Most of the work is outside of repositories and consists of cloning projects https://github.com/AnacondaRecipes/ and building:
- [typing_extensions](https://github.com/AnacondaRecipes/typing_extensions-feedstock)
- [pyyaml](https://github.com/AnacondaRecipes/pyyaml-feedstock)
- [setuptools](https://github.com/AnacondaRecipes/setuptools-feedstock) v 59.8.0, needed to build `numpy`. Trick here is to add `add_pip_as_python_dependency: off` to ones `.condarc`
- [cython](https://github.com/AnacondaRecipes/cython-feedstock)
- [mkl-service](https://github.com/AnacondaRecipes/mkl-service-feedstock)
- [numpy-base](https://github.com/AnacondaRecipes/numpy-feedstock) (against mkl-2021.4), i.e. add `blas_impl: "mkl"` and `mkl: ">=2021.4.0,<2022.0a0"` to ones `conda_build_config.yaml`
- [mkl_random](https://github.com/AnacondaRecipes/mkl_random-feedstock)
- [mkl_fft](https://github.com/AnacondaRecipes/mkl_fft-feedstock)
- [numpy](https://github.com/AnacondaRecipes/numpy-feedstock)
- [mpmath](https://github.com/AnacondaRecipes/mpmath-feedstock)
- [sympy](https://github.com/AnacondaRecipes/sympy-feedstock)

Anaconda build system is really modern, so in order to be able to build:
- x86 MacOS packages, one need to install Macos 10.10 SDK from 2014, still available at https://github.com/phracker/MacOSX-SDKs/releases and reference it as conda build sysroot, as follows: `CONDA_BUILD_SYSROOT: /Library/Developer/CommandLineTools/SDKs/MacOSX10.10.sdk`
- Windows packages "MSVC v141 - VS 2017 C++ x64/86 build tools (v14.16)" is needed, which likely is still available as Visual Studio component

As well as make a pretty trivial tweak to build rules in pytorch/builder@cf4fa89
Pull Request resolved: pytorch#94430
Approved by: https://github.com/seemethere, https://github.com/weiwangmeta, https://github.com/albanD, https://github.com/atalman

.github/scripts/generate_binary_build_matrix.py

@@ -71,7 +71,7 @@ def arch_type(arch_version: str) -> str:
     ("cpu", CXX11_ABI): "pytorch/libtorch-cxx11-builder:cpu",
 }
 
-FULL_PYTHON_VERSIONS = ["3.8", "3.9", "3.10"]
+FULL_PYTHON_VERSIONS = ["3.8", "3.9", "3.10", "3.11"]
 
 
 def translate_desired_cuda(gpu_arch_type: str, gpu_arch_version: str) -> str:
@@ -89,11 +89,7 @@ def list_without(in_list: List[str], without: List[str]) -> List[str]:
 def generate_conda_matrix(os: str) -> List[Dict[str, str]]:
     ret: List[Dict[str, str]] = []
     arches = ["cpu"]
-    python_versions = list(FULL_PYTHON_VERSIONS)
-    if os == "linux":
-        # NOTE: We only build 3.11 on linux right now as many dependencies
-        # are yet not available on conda
-        python_versions.append("3.11")
+    python_versions = FULL_PYTHON_VERSIONS
     if os == "linux" or os == "windows":
         arches += CUDA_ARCHES
     for python_version in python_versions:
@@ -180,9 +176,7 @@ def generate_wheels_matrix(os: str,
         package_type = "manywheel"
 
     if python_versions is None:
-        # Define default python version
-        python_versions = list(FULL_PYTHON_VERSIONS)
-        python_versions.append("3.11")
+        python_versions = FULL_PYTHON_VERSIONS
 
     if arches is None:
         # Define default compute archivectures