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#!/usr/bin/env python3
import os
import re
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple
from update_readme import generate_url, get_all_files
class Wheel:
def __init__(self, full_name: str, url: str):
"""
Args:
full_name:
Example: k2-1.24.3.dev20230720+cpu.torch1.10.0-cp36-cp36m-macosx_10_9_x86_64.whl
"""
self.full_name = full_name
# pattern = r"k2-(\d)\.(\d+)(\.(\d+))?\.dev(\d{8})+cpu\.torch(\d\.\d+)"
pattern = (
r"k2-(\d)\.(\d)+((\.)(\d))?\.dev(\d{8})\+cpu\.torch(\d\.\d+\.\d)-cp(\d+)"
)
m = re.search(pattern, full_name)
self.k2_major = int(m.group(1))
self.k2_minor = int(m.group(2))
self.k2_patch = int(m.group(5))
self.k2_date = int(m.group(6))
self.torch_version = m.group(7)
self.py_version = int(m.group(8))
self.url = url
def __str__(self):
return self.url
def __repr__(self):
return self.url
def generate_index(filename: str, torch_versions) -> str:
b = []
for i in torch_versions:
b.append(f" ./{i}.rst")
b = "\n".join(b)
s = f"""\
Pre-compiled CPU wheels (macOS)
===============================
This page describes pre-compiled ``CPU`` wheels for `k2`_ on macOS.
.. toctree::
:maxdepth: 2
{b}
"""
with open(filename, "w") as f:
f.write(s)
def sort_by_wheel(x: Wheel):
return x.k2_major, x.k2_minor, x.k2_patch, x.k2_date, x.py_version
def sort_by_torch(x):
major, minor, patch = x.split(".")
return int(major), int(minor), int(patch)
def get_all_torch_versions(wheels: List[Wheel]) -> List[str]:
ans = set()
for w in wheels:
ans.add(w.torch_version)
# sort torch version from high to low
ans = list(ans)
ans.sort(reverse=True, key=sort_by_torch)
return ans
def get_doc_dir():
k2_dir = os.getenv("K2_DIR")
if k2_dir is None:
raise ValueError("Please set the environment variable k2_dir")
cpu_dir = Path(k2_dir) / "docs/source/installation/pre-compiled-cpu-wheels-macos"
if not Path(cpu_dir).is_dir():
raise ValueError(f"{cpu_dir} does not exist")
print(f"k2 doc cpu_dir: {cpu_dir}")
return cpu_dir
def remove_all_files(d: str):
files = get_all_files(d, "*.rst")
for f in files:
print(f"removing {f}")
os.remove(f)
def get_all_cpu_wheels():
cpu = get_all_files("macos", suffix="*.whl")
cpu_wheels = generate_url(cpu)
return cpu_wheels
def generate_file(d: str, torch_version: str, wheels: List[Wheel]) -> str:
s = f"torch {torch_version}\n"
s += "=" * len(f"torch {torch_version}")
s += "\n" * 3
wheels = filter(lambda w: w.torch_version == torch_version, wheels)
wheels = list(wheels)
wheels.sort(reverse=True, key=sort_by_wheel)
for w in wheels:
s += f"- `{w.full_name} <{w.url}>`_\n"
with open(f"{d}/{torch_version}.rst", "w") as f:
f.write(s)
def main():
d = get_doc_dir()
remove_all_files(d)
urls = get_all_cpu_wheels()
wheels = []
for url in urls:
full_name = url.rsplit("/", maxsplit=1)[1]
wheels.append(Wheel(full_name, url))
torch_versions = get_all_torch_versions(wheels)
content = []
for t in torch_versions:
s = generate_file(d, t, wheels)
generate_index(f"{d}/index.rst", torch_versions)
if __name__ == "__main__":
main()
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