Current File : //proc/self/root/usr/lib/python3/dist-packages/ufoLib2/objects/misc.py
from __future__ import annotations
import collections.abc
import uuid
from abc import abstractmethod
from collections.abc import Mapping, MutableMapping
from copy import deepcopy
from functools import lru_cache
from typing import (
TYPE_CHECKING,
Any,
Dict,
Iterator,
NamedTuple,
Optional,
Sequence,
Set,
Type,
TypeVar,
cast,
)
import attr
from attr import define, field
from fontTools.misc.arrayTools import unionRect
from fontTools.misc.transform import Transform
from fontTools.pens.boundsPen import BoundsPen, ControlBoundsPen
from fontTools.ufoLib import UFOReader, UFOWriter
from ufoLib2.constants import OBJECT_LIBS_KEY
from ufoLib2.typing import Drawable, GlyphSet, HasIdentifier
if TYPE_CHECKING:
from cattr import GenConverter
class BoundingBox(NamedTuple):
"""Represents a bounding box as a tuple of (xMin, yMin, xMax, yMax)."""
xMin: float
yMin: float
xMax: float
yMax: float
def getBounds(drawable: Drawable, layer: GlyphSet | None) -> BoundingBox | None:
pen = BoundsPen(layer)
# raise 'KeyError' when a referenced component is missing from glyph set
pen.skipMissingComponents = False
drawable.draw(pen)
return None if pen.bounds is None else BoundingBox(*pen.bounds)
def getControlBounds(drawable: Drawable, layer: GlyphSet | None) -> BoundingBox | None:
pen = ControlBoundsPen(layer)
# raise 'KeyError' when a referenced component is missing from glyph set
pen.skipMissingComponents = False
drawable.draw(pen)
return None if pen.bounds is None else BoundingBox(*pen.bounds)
def unionBounds(
bounds1: BoundingBox | None, bounds2: BoundingBox | None
) -> BoundingBox | None:
if bounds1 is None:
return bounds2
if bounds2 is None:
return bounds1
return BoundingBox(*unionRect(bounds1, bounds2))
def _deepcopy_unlazify_attrs(self: Any, memo: Any) -> Any:
if getattr(self, "_lazy", True) and hasattr(self, "unlazify"):
self.unlazify()
return self.__class__(
**{
(a.name if a.name[0] != "_" else a.name[1:]): deepcopy(
getattr(self, a.name), memo
)
for a in attr.fields(self.__class__)
if a.init and a.metadata.get("copyable", True)
},
)
def _object_lib(parent_lib: dict[str, Any], obj: HasIdentifier) -> dict[str, Any]:
if obj.identifier is None:
# Use UUID4 because it allows us to set a new identifier without
# checking if it's already used anywhere else and be right most
# of the time.
obj.identifier = str(uuid.uuid4())
object_libs: dict[str, Any]
if "public.objectLibs" not in parent_lib:
object_libs = parent_lib["public.objectLibs"] = {}
else:
object_libs = parent_lib["public.objectLibs"]
assert isinstance(object_libs, collections.abc.MutableMapping)
if obj.identifier in object_libs:
object_lib: dict[str, Any] = object_libs[obj.identifier]
return object_lib
lib: dict[str, Any] = {}
object_libs[obj.identifier] = lib
return lib
def _prune_object_libs(parent_lib: dict[str, Any], identifiers: set[str]) -> None:
"""Prune non-existing objects and empty libs from a lib's
public.objectLibs.
Empty object libs are pruned, but object identifiers stay.
"""
if OBJECT_LIBS_KEY not in parent_lib:
return
object_libs = parent_lib[OBJECT_LIBS_KEY]
parent_lib[OBJECT_LIBS_KEY] = {
k: v for k, v in object_libs.items() if k in identifiers and v
}
class DataPlaceholder(bytes):
"""Represents a sentinel value to signal a "lazy" DataSet item hasn't been loaded yet."""
_DATA_NOT_LOADED = DataPlaceholder(b"__UFOLIB2_DATA_NOT_LOADED__")
# Create a generic variable for mypy that can be 'DataStore' or any subclass.
Tds = TypeVar("Tds", bound="DataStore")
# For Python 3.7 compatibility.
if TYPE_CHECKING:
DataStoreMapping = MutableMapping[str, bytes]
else:
DataStoreMapping = MutableMapping
@define
class DataStore(DataStoreMapping):
"""Represents the base class for ImageSet and DataSet.
Both behave like a dictionary that loads its "values" lazily by default and only
differ in which reader and writer methods they call.
"""
_data: Dict[str, bytes] = field(factory=dict)
_lazy: Optional[bool] = field(default=False, kw_only=True, eq=False, init=False)
_reader: Optional[UFOReader] = field(default=None, init=False, repr=False, eq=False)
_scheduledForDeletion: Set[str] = field(
factory=set, init=False, repr=False, eq=False
)
def __eq__(self, other: object) -> bool:
# same as attrs-defined __eq__ method, only that it un-lazifies DataStores
# if needed.
# NOTE: Avoid isinstance check that mypy recognizes because we don't want to
# test possible Font subclasses for equality.
if other.__class__ is not self.__class__:
return NotImplemented
other = cast(DataStore, other)
for data_store in (self, other):
if data_store._lazy:
data_store.unlazify()
return self._data == other._data
def __ne__(self, other: object) -> bool:
result = self.__eq__(other)
if result is NotImplemented:
return NotImplemented
return not result
@classmethod
def read(cls: type[Tds], reader: UFOReader, lazy: bool = True) -> Tds:
"""Instantiate the data store from a :class:`fontTools.ufoLib.UFOReader`."""
self = cls()
for fileName in cls.list_contents(reader):
if lazy:
self._data[fileName] = _DATA_NOT_LOADED
else:
self._data[fileName] = cls.read_data(reader, fileName)
self._lazy = lazy
if lazy:
self._reader = reader
return self
@staticmethod
@abstractmethod
def list_contents(reader: UFOReader) -> list[str]:
"""Returns a list of POSIX filename strings in the data store."""
...
@staticmethod
@abstractmethod
def read_data(reader: UFOReader, filename: str) -> bytes:
"""Returns the data at filename within the store."""
...
@staticmethod
@abstractmethod
def write_data(writer: UFOWriter, filename: str, data: bytes) -> None:
"""Writes the data to filename within the store."""
...
@staticmethod
@abstractmethod
def remove_data(writer: UFOWriter, filename: str) -> None:
"""Remove the data at filename within the store."""
...
def unlazify(self) -> None:
"""Load all data into memory."""
if self._lazy and self._reader is not None:
for _ in self.items():
pass
self._lazy = False
__deepcopy__ = _deepcopy_unlazify_attrs
# MutableMapping methods
def __len__(self) -> int:
return len(self._data)
def __iter__(self) -> Iterator[str]:
return iter(self._data)
def __getitem__(self, fileName: str) -> bytes:
data_object = self._data[fileName]
if data_object is _DATA_NOT_LOADED:
data_object = self._data[fileName] = self.read_data(self._reader, fileName)
return data_object
def __setitem__(self, fileName: str, data: bytes) -> None:
# should we forbid overwrite?
self._data[fileName] = data
if fileName in self._scheduledForDeletion:
self._scheduledForDeletion.remove(fileName)
def __delitem__(self, fileName: str) -> None:
del self._data[fileName]
self._scheduledForDeletion.add(fileName)
def __repr__(self) -> str:
n = len(self._data)
return "<{}.{} ({}) at {}>".format(
self.__class__.__module__,
self.__class__.__name__,
"empty" if n == 0 else "{} file{}".format(n, "s" if n > 1 else ""),
hex(id(self)),
)
def write(self, writer: UFOWriter, saveAs: bool | None = None) -> None:
"""Write the data store to a :class:`fontTools.ufoLib.UFOWriter`."""
if saveAs is None:
saveAs = self._reader is not writer
# if in-place, remove deleted data
if not saveAs:
for fileName in self._scheduledForDeletion:
self.remove_data(writer, fileName)
# Write data. Iterating over _data.items() prevents automatic loading.
for fileName, data in self._data.items():
# Two paths:
# 1) We are saving in-place. Only write to disk what is loaded, it
# might be modified.
# 2) We save elsewhere. Load all data files to write them back out.
# XXX: Move write_data into `if saveAs` branch to simplify code?
if data is _DATA_NOT_LOADED:
if saveAs:
data = self.read_data(self._reader, fileName)
self._data[fileName] = data
else:
continue
self.write_data(writer, fileName, data)
self._scheduledForDeletion = set()
if saveAs:
# all data was read by now, ref to reader no longer needed
self._reader = None
@property
def fileNames(self) -> list[str]:
"""Returns a list of filenames in the data store."""
return list(self._data.keys())
def _unstructure(self, converter: GenConverter) -> dict[str, str]:
# avoid encoding if converter supports bytes natively
test = converter.unstructure(b"\0")
if isinstance(test, bytes):
# mypy complains that 'Argument 1 to "dict" has incompatible type
# "DataStore"; expected "SupportsKeysAndGetItem[str, Dict[str, str]]"'.
# We _are_ a subclass of Mapping so we do support keys and getitem...
return dict(self) # type: ignore
elif not isinstance(test, str):
raise NotImplementedError(type(test))
data: dict[str, str] = {k: converter.unstructure(v) for k, v in self.items()}
# since we unpacked all data by now, we're no longer lazy
if self._lazy:
self._lazy = False
return data
@staticmethod
def _structure(
data: Mapping[str, Any],
cls: Type[DataStore],
converter: GenConverter,
) -> DataStore:
self = cls()
for k, v in data.items():
if isinstance(v, str):
self[k] = converter.structure(v, bytes)
elif isinstance(v, bytes):
self[k] = v
else:
raise TypeError(
f"Expected (base64) str or bytes, found: {type(v).__name__!r}"
)
return self
# For Python 3.7 compatibility.
if TYPE_CHECKING:
AttrDictMixinMapping = Mapping[str, Any]
else:
AttrDictMixinMapping = Mapping
_T = TypeVar("_T", bound="AttrDictMixin")
class AttrDictMixin(AttrDictMixinMapping):
"""Read attribute values using mapping interface.
For use with Anchors, Guidelines and WoffMetadata classes, where client code
expects them to behave as dict.
"""
# XXX: Use generics?
@classmethod
@lru_cache(maxsize=None)
def _key_to_attr_map(cls, reverse: bool = False) -> dict[str, str]:
result = {}
for a in attr.fields(cls):
attr_name = a.name
key = attr_name
if "rename_attr" in a.metadata:
key = a.metadata["rename_attr"]
if reverse:
result[attr_name] = key
else:
result[key] = attr_name
return result
def __getitem__(self, key: str) -> Any:
attr_name = self._key_to_attr_map()[key]
try:
value = getattr(self, attr_name)
except AttributeError as e:
raise KeyError(key) from e
if value is None:
raise KeyError(key)
return value
def __iter__(self) -> Iterator[str]:
key_map = self._key_to_attr_map(reverse=True)
for attr_name in attr.fields_dict(self.__class__):
if getattr(self, attr_name) is not None:
yield key_map[attr_name]
def __len__(self) -> int:
return sum(1 for _ in self)
@classmethod
def coerce_from_dict(cls: Type[_T], value: _T | Mapping[str, Any]) -> _T:
if isinstance(value, cls):
return value
elif isinstance(value, Mapping):
attr_map = cls._key_to_attr_map()
return cls(**{attr_map[k]: v for k, v in value.items()})
raise TypeError(
f"Expected {cls.__name__} or mapping, found: {type(value).__name__}"
)
@classmethod
def coerce_from_optional_dict(
cls: Type[_T], value: _T | Mapping[str, Any] | None
) -> _T | None:
if value is None:
return None
return cls.coerce_from_dict(value)
def _convert_transform(t: Transform | Sequence[float]) -> Transform:
"""Return a passed-in Transform as is, otherwise convert a sequence of
numbers to a Transform if need be."""
return t if isinstance(t, Transform) else Transform(*t)
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