Remove primary/secondary pattern split

Replacement TBD -- likely some way to rename patterns when merging.
This commit is contained in:
jan 2022-07-07 16:36:43 -07:00
parent bff9940518
commit b6f1af6e09

View File

@ -6,7 +6,6 @@ from typing import Dict, Callable, TypeVar, TYPE_CHECKING
from typing import Any, Tuple, Union, Iterator
import logging
from pprint import pformat
from dataclasses import dataclass
import copy
from ..error import LibraryError
@ -18,16 +17,6 @@ if TYPE_CHECKING:
logger = logging.getLogger(__name__)
@dataclass
class PatternGenerator:
__slots__ = ('tag', 'gen')
tag: str
""" Unique identifier for the source """
gen: Callable[[], 'Pattern']
""" Function which generates a pattern when called """
L = TypeVar('L', bound='Library')
@ -41,44 +30,25 @@ class Library:
Library expects `sp.identifier[0]` to contain a string which specifies the
referenced pattern's name.
Patterns can either be "primary" (default) or "secondary". Both get the
same deferred-load behavior, but "secondary" patterns may have conflicting
names and are not accessible through basic []-indexing. They are only used
to fill symbolic references in cases where there is no "primary" pattern
available, and only if both the referencing and referenced pattern-generators'
`tag` values match (i.e., only if they came from the same source).
Primary patterns can be turned into secondary patterns with the `demote`
method, `promote` performs the reverse (secondary -> primary) operation.
The `set_const` and `set_value` methods provide an easy way to transparently
construct PatternGenerator objects and directly set create "secondary"
patterns.
The cache can be disabled by setting the `enable_cache` attribute to `False`.
"""
primary: Dict[str, PatternGenerator]
secondary: Dict[Tuple[str, str], PatternGenerator]
cache: Dict[Union[str, Tuple[str, str]], 'Pattern']
generators: Dict[str, Callable[[], 'Pattern']]
cache: Dict[str, 'Pattern']
enable_cache: bool = True
def __init__(self) -> None:
self.primary = {}
self.secondary = {}
self.generators = {}
self.cache = {}
def __setitem__(self, key: str, value: PatternGenerator) -> None:
self.primary[key] = value
def __setitem__(self, key: str, value: Callable[[], 'Pattern']) -> None:
self.generators[key] = value
if key in self.cache:
logger.warning(f'Replaced library item "{key}" & existing cache entry.'
' Previously-generated Pattern will *not* be updated!')
del self.cache[key]
def __delitem__(self, key: str) -> None:
if isinstance(key, str):
del self.primary[key]
elif isinstance(key, tuple):
del self.secondary[key]
del self.generators[key]
if key in self.cache:
logger.warning(f'Deleting library item "{key}" & existing cache entry.'
@ -86,44 +56,21 @@ class Library:
del self.cache[key]
def __getitem__(self, key: str) -> 'Pattern':
return self.get_primary(key)
def __iter__(self) -> Iterator[str]:
return iter(self.keys())
def __contains__(self, key: str) -> bool:
return key in self.primary
def get_primary(self, key: str) -> 'Pattern':
if self.enable_cache and key in self.cache:
logger.debug(f'found {key} in cache')
return self.cache[key]
logger.debug(f'loading {key}')
pg = self.primary[key]
pat = pg.gen()
self.resolve_subpatterns(pat, pg.tag)
pat = self.generators[key]()
self.resolve_subpatterns(pat)
self.cache[key] = pat
return pat
def get_secondary(self, key: str, tag: str) -> 'Pattern':
logger.debug(f'get_secondary({key}, {tag})')
key2 = (key, tag)
if self.enable_cache and key2 in self.cache:
return self.cache[key2]
def __iter__(self) -> Iterator[str]:
return iter(self.keys())
pg = self.secondary[key2]
pat = pg.gen()
self.resolve_subpatterns(pat, pg.tag)
self.cache[key2] = pat
return pat
def set_secondary(self, key: str, tag: str, value: PatternGenerator) -> None:
self.secondary[(key, tag)] = value
if (key, tag) in self.cache:
logger.warning(f'Replaced library item "{key}" & existing cache entry.'
' Previously-generated Pattern will *not* be updated!')
del self.cache[(key, tag)]
def __contains__(self, key: str) -> bool:
return key in self.generators
def resolve_subpatterns(self, pat: 'Pattern', tag: str) -> 'Pattern':
logger.debug(f'Resolving subpatterns in {pat.name}')
@ -132,19 +79,15 @@ class Library:
continue
key = sp.identifier[0]
if key in self.primary:
sp.pattern = self.get_primary(key)
continue
if (key, tag) in self.secondary:
sp.pattern = self.get_secondary(key, tag)
if key in self.generators:
sp.pattern = self[key]
continue
raise LibraryError(f'Broken reference to {key} (tag {tag})')
return pat
def keys(self) -> Iterator[str]:
return iter(self.primary.keys())
return iter(self.generators.keys())
def values(self) -> Iterator['Pattern']:
return iter(self[key] for key in self.keys())
@ -153,56 +96,7 @@ class Library:
return iter((key, self[key]) for key in self.keys())
def __repr__(self) -> str:
return '<Library with keys ' + repr(list(self.primary.keys())) + '>'
def set_const(
self,
key: str,
tag: Any,
const: 'Pattern',
secondary: bool = False,
) -> None:
"""
Convenience function to avoid having to manually wrap
constant values into callables.
Args:
key: Lookup key, usually the cell/pattern name
tag: Unique tag for the source, used to disambiguate secondary patterns
const: Pattern object to return
secondary: If True, this pattern is not accessible for normal lookup, and is
only used as a sub-component of other patterns if no non-secondary
equivalent is available.
"""
pg = PatternGenerator(tag=tag, gen=lambda: const)
if secondary:
self.secondary[(key, tag)] = pg
else:
self.primary[key] = pg
def set_value(
self,
key: str,
tag: str,
value: Callable[[], 'Pattern'],
secondary: bool = False,
) -> None:
"""
Convenience function to automatically build a PatternGenerator.
Args:
key: Lookup key, usually the cell/pattern name
tag: Unique tag for the source, used to disambiguate secondary patterns
value: Callable which takes no arguments and generates the `Pattern` object
secondary: If True, this pattern is not accessible for normal lookup, and is
only used as a sub-component of other patterns if no non-secondary
equivalent is available.
"""
pg = PatternGenerator(tag=tag, gen=value)
if secondary:
self.secondary[(key, tag)] = pg
else:
self.primary[key] = pg
return '<Library with keys ' + repr(list(self.generators.keys())) + '>'
def precache(self: L) -> L:
"""
@ -211,17 +105,15 @@ class Library:
Returns:
self
"""
for key in self.primary:
_ = self.get_primary(key)
for key2 in self.secondary:
_ = self.get_secondary(*key2)
for key in self.generators:
_ = self[key]
return self
def add(
self: L,
other: L,
use_ours: Callable[[Union[str, Tuple[str, str]]], bool] = lambda name: False,
use_theirs: Callable[[Union[str, Tuple[str, str]]], bool] = lambda name: False,
use_ours: Callable[[str], bool] = lambda name: False,
use_theirs: Callable[[str], bool] = lambda name: False,
) -> L:
"""
Add keys from another library into this one.
@ -229,8 +121,6 @@ class Library:
Args:
other: The library to insert keys from
use_ours: Decision function for name conflicts.
May be called with cell names and (name, tag) tuples for primary or
secondary cells, respectively.
Should return `True` if the value from `self` should be used.
use_theirs: Decision function for name conflicts. Same format as `use_ours`.
Should return `True` if the value from `other` should be used.
@ -238,72 +128,21 @@ class Library:
Returns:
self
"""
duplicates1 = set(self.primary.keys()) & set(other.primary.keys())
duplicates2 = set(self.secondary.keys()) & set(other.secondary.keys())
keep_ours1 = set(name for name in duplicates1 if use_ours(name))
keep_ours2 = set(name for name in duplicates2 if use_ours(name))
keep_theirs1 = set(name for name in duplicates1 - keep_ours1 if use_theirs(name))
keep_theirs2 = set(name for name in duplicates2 - keep_ours2 if use_theirs(name))
conflicts1 = duplicates1 - keep_ours1 - keep_theirs1
conflicts2 = duplicates2 - keep_ours2 - keep_theirs2
duplicates = set(self.keys()) & set(other.keys())
keep_ours = set(name for name in duplicates if use_ours(name))
keep_theirs = set(name for name in duplicates - keep_ours if use_theirs(name))
conflicts = duplicates - keep_ours - keep_theirs
if conflicts1:
raise LibraryError('Unresolved duplicate keys encountered in library merge: ' + pformat(conflicts1))
if conflicts2:
raise LibraryError('Unresolved duplicate secondary keys encountered in library merge: ' + pformat(conflicts2))
for key1 in set(other.primary.keys()) - keep_ours1:
self[key1] = other.primary[key1]
if key1 in other.cache:
self.cache[key1] = other.cache[key1]
for key2 in set(other.secondary.keys()) - keep_ours2:
self.set_secondary(*key2, other.secondary[key2])
if key2 in other.cache:
self.cache[key2] = other.cache[key2]
if conflicts:
raise LibraryError('Unresolved duplicate keys encountered in library merge: '
+ pformat(conflicts))
for key in set(other.keys()) - keep_ours:
self[key] = other.generators[key]
if key in other.cache:
self.cache[key] = other.cache[key]
return self
def demote(self, key: str) -> None:
"""
Turn a primary pattern into a secondary one.
It will no longer be accessible through [] indexing and will only be used to
when referenced by other patterns from the same source, and only if no primary
pattern with the same name exists.
Args:
key: Lookup key, usually the cell/pattern name
"""
pg = self.primary[key]
key2 = (key, pg.tag)
self.secondary[key2] = pg
if key in self.cache:
self.cache[key2] = self.cache[key]
del self[key]
def promote(self, key: str, tag: str) -> None:
"""
Turn a secondary pattern into a primary one.
It will become accessible through [] indexing and will be used to satisfy any
reference to a pattern with its key, regardless of tag.
Args:
key: Lookup key, usually the cell/pattern name
tag: Unique tag for identifying the pattern's source, used to disambiguate
secondary patterns
"""
if key in self.primary:
raise LibraryError(f'Promoting ({key}, {tag}), but {key} already exists in primary!')
key2 = (key, tag)
pg = self.secondary[key2]
self.primary[key] = pg
if key2 in self.cache:
self.cache[key] = self.cache[key2]
del self.secondary[key2]
del self.cache[key2]
def copy(self, preserve_cache: bool = False) -> 'Library':
"""
Create a copy of this `Library`.
@ -315,8 +154,7 @@ class Library:
A copy of self
"""
new = Library()
new.primary.update(self.primary)
new.secondary.update(self.secondary)
new.generators.update(self.generators)
new.cache.update(self.cache)
return new
@ -335,23 +173,3 @@ class Library:
def __deepcopy__(self: L, memo: Optional[Dict] = None) -> L:
raise LibraryError('Library cannot be deepcopied -- python copy.deepcopy() does not copy closures!')
r"""
# Add a filter for names which aren't added
- Registration:
- scanned files (tag=filename, gen_fn[stream, {name: pos}])
- generator functions (tag='fn?', gen_fn[params])
- merge decision function (based on tag and cell name, can be "neither") ??? neither=keep both, load using same tag!
- Load process:
- file:
- read single cell
- check subpat identifiers, and load stuff recursively based on those. If not present, load from same file??
- function:
- generate cell
- traverse and check if we should load any subcells from elsewhere. replace if so.
* should fn generate subcells at all, or register those separately and have us control flow? maybe ask us and generate itself if not present?
- Scan all GDS files, save name -> (file, position). Keep the streams handy.
- Merge all names. This requires subcell merge because we don't know hierarchy.
- possibly include a "neither" option during merge, to deal with subcells. Means: just use parent's file.
"""