jan/snarled
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

multithread find_merge_pairs

Browse Source
This commit is contained in:
Jan Petykiewicz 2022-04-07 22:10:30 -07:00
parent e68051ccc6
commit 0adb5e6cf8
1 changed files with 44 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

30
snarled/main.py
View File

@ -4,6 +4,7 @@ Main connectivity-checking functionality for `snarled`
from typing import Tuple, List, Dict, Set, Optional, Union, Sequence, Mapping, Callable
from collections import defaultdict
from pprint import pformat
from concurrent.futures import ThreadPoolExecutor
import logging
import numpy
@ -308,6 +309,8 @@ def find_merge_pairs(
logger.warning(f'No vias between layers {top_layer}, {bot_layer}')
return merge_pairs
tested_pairs = set()
with ThreadPoolExecutor() as executor:
for top_name in nets.keys():
top_polys = nets[top_name][top_layer]
if not top_polys:
@ -318,13 +321,30 @@ def find_merge_pairs(
continue
name_pair: Tuple[NetName, NetName] = tuple(sorted((top_name, bot_name))) #type: ignore
if name_pair in merge_pairs:
if name_pair in tested_pairs:
continue
tested_pairs.add(name_pair)
bot_polys = nets[bot_name][bot_layer]
if not bot_polys:
continue
executor.submit(check_overlap, top_polys, via_polys, bot_polys, clipper_scale_factor,
lambda np=name_pair: merge_pairs.add(np))
return merge_pairs
def check_overlap(
top_polys: Sequence[contour_t],
via_polys: Optional[Sequence[NDArray[numpy.float64]]],
bot_polys: Sequence[contour_t],
clipper_scale_factor: int,
action: Callable[[], None],
) -> None:
"""
Check for interaction between top and bottom polys, mediated by via polys if present.
"""
if via_polys is not None:
top_bot = intersection_evenodd(top_polys, bot_polys)
descaled = scale_from_clipper(top_bot, clipper_scale_factor)
@ -333,12 +353,12 @@ def find_merge_pairs(
# via_polys = difference_evenodd(via_polys, overlap) # reduce set of via polys for future nets
else:
# overlap = intersection_evenodd(top_polys, bot_polys) # TODO verify there aren't any suspicious corner cases for this
overlap = check_any_intersection(scale_from_clipper(top_polys, clipper_scale_factor), scale_from_clipper(bot_polys, clipper_scale_factor))
overlap = check_any_intersection(
scale_from_clipper(top_polys, clipper_scale_factor),
scale_from_clipper(bot_polys, clipper_scale_factor))
if overlap:
merge_pairs.add(name_pair)
return merge_pairs
action()
def check_any_intersection(polys_a, polys_b) -> bool: