ai-content-maker/.venv/Lib/site-packages/contourpy/_contourpy.pyi

198 lines
6.8 KiB
Python

from typing import ClassVar, NoReturn
import numpy as np
import numpy.typing as npt
from typing_extensions import TypeAlias
import contourpy._contourpy as cpy
# Input numpy array types, the same as in common.h
CoordinateArray: TypeAlias = npt.NDArray[np.float64]
MaskArray: TypeAlias = npt.NDArray[np.bool_]
# Output numpy array types, the same as in common.h
PointArray: TypeAlias = npt.NDArray[np.float64]
CodeArray: TypeAlias = npt.NDArray[np.uint8]
OffsetArray: TypeAlias = npt.NDArray[np.uint32]
# Types returned from filled()
FillReturn_OuterCode: TypeAlias = tuple[list[PointArray], list[CodeArray]]
FillReturn_OuterOffset: TypeAlias = tuple[list[PointArray], list[OffsetArray]]
FillReturn_ChunkCombinedCode: TypeAlias = tuple[list[PointArray | None], list[CodeArray | None]]
FillReturn_ChunkCombinedOffset: TypeAlias = tuple[list[PointArray | None], list[OffsetArray | None]]
FillReturn_ChunkCombinedCodeOffset: TypeAlias = tuple[list[PointArray | None], list[CodeArray | None], list[OffsetArray | None]]
FillReturn_ChunkCombinedOffsetOffset: TypeAlias = tuple[list[PointArray | None], list[OffsetArray | None], list[OffsetArray | None]]
FillReturn_Chunk: TypeAlias = FillReturn_ChunkCombinedCode | FillReturn_ChunkCombinedOffset | FillReturn_ChunkCombinedCodeOffset | FillReturn_ChunkCombinedOffsetOffset
FillReturn: TypeAlias = FillReturn_OuterCode | FillReturn_OuterOffset | FillReturn_Chunk
# Types returned from lines()
LineReturn_Separate: TypeAlias = list[PointArray]
LineReturn_SeparateCode: TypeAlias = tuple[list[PointArray], list[CodeArray]]
LineReturn_ChunkCombinedCode: TypeAlias = tuple[list[PointArray | None], list[CodeArray | None]]
LineReturn_ChunkCombinedOffset: TypeAlias = tuple[list[PointArray | None], list[OffsetArray | None]]
LineReturn_ChunkCombinedNan: TypeAlias = tuple[list[PointArray | None]]
LineReturn_Chunk: TypeAlias = LineReturn_ChunkCombinedCode | LineReturn_ChunkCombinedOffset | LineReturn_ChunkCombinedNan
LineReturn: TypeAlias = LineReturn_Separate | LineReturn_SeparateCode | LineReturn_Chunk
NDEBUG: int
__version__: str
class FillType:
ChunkCombinedCode: ClassVar[cpy.FillType]
ChunkCombinedCodeOffset: ClassVar[cpy.FillType]
ChunkCombinedOffset: ClassVar[cpy.FillType]
ChunkCombinedOffsetOffset: ClassVar[cpy.FillType]
OuterCode: ClassVar[cpy.FillType]
OuterOffset: ClassVar[cpy.FillType]
__members__: ClassVar[dict[str, cpy.FillType]]
def __eq__(self, other: object) -> bool: ...
def __getstate__(self) -> int: ...
def __hash__(self) -> int: ...
def __index__(self) -> int: ...
def __init__(self, value: int) -> None: ...
def __int__(self) -> int: ...
def __ne__(self, other: object) -> bool: ...
def __setstate__(self, state: int) -> NoReturn: ...
@property
def name(self) -> str: ...
@property
def value(self) -> int: ...
class LineType:
ChunkCombinedCode: ClassVar[cpy.LineType]
ChunkCombinedNan: ClassVar[cpy.LineType]
ChunkCombinedOffset: ClassVar[cpy.LineType]
Separate: ClassVar[cpy.LineType]
SeparateCode: ClassVar[cpy.LineType]
__members__: ClassVar[dict[str, cpy.LineType]]
def __eq__(self, other: object) -> bool: ...
def __getstate__(self) -> int: ...
def __hash__(self) -> int: ...
def __index__(self) -> int: ...
def __init__(self, value: int) -> None: ...
def __int__(self) -> int: ...
def __ne__(self, other: object) -> bool: ...
def __setstate__(self, state: int) -> NoReturn: ...
@property
def name(self) -> str: ...
@property
def value(self) -> int: ...
class ZInterp:
Linear: ClassVar[cpy.ZInterp]
Log: ClassVar[cpy.ZInterp]
__members__: ClassVar[dict[str, cpy.ZInterp]]
def __eq__(self, other: object) -> bool: ...
def __getstate__(self) -> int: ...
def __hash__(self) -> int: ...
def __index__(self) -> int: ...
def __init__(self, value: int) -> None: ...
def __int__(self) -> int: ...
def __ne__(self, other: object) -> bool: ...
def __setstate__(self, state: int) -> NoReturn: ...
@property
def name(self) -> str: ...
@property
def value(self) -> int: ...
def max_threads() -> int: ...
class ContourGenerator:
def create_contour(self, level: float) -> LineReturn: ...
def create_filled_contour(self, lower_level: float, upper_level: float) -> FillReturn: ...
def filled(self, lower_level: float, upper_level: float) -> FillReturn: ...
def lines(self, level: float) -> LineReturn: ...
@staticmethod
def supports_corner_mask() -> bool: ...
@staticmethod
def supports_fill_type(fill_type: FillType) -> bool: ...
@staticmethod
def supports_line_type(line_type: LineType) -> bool: ...
@staticmethod
def supports_quad_as_tri() -> bool: ...
@staticmethod
def supports_threads() -> bool: ...
@staticmethod
def supports_z_interp() -> bool: ...
@property
def chunk_count(self) -> tuple[int, int]: ...
@property
def chunk_size(self) -> tuple[int, int]: ...
@property
def corner_mask(self) -> bool: ...
@property
def fill_type(self) -> FillType: ...
@property
def line_type(self) -> LineType: ...
@property
def quad_as_tri(self) -> bool: ...
@property
def thread_count(self) -> int: ...
@property
def z_interp(self) -> ZInterp: ...
default_fill_type: cpy.FillType
default_line_type: cpy.LineType
class Mpl2005ContourGenerator(ContourGenerator):
def __init__(
self,
x: CoordinateArray,
y: CoordinateArray,
z: CoordinateArray,
mask: MaskArray,
*,
x_chunk_size: int = 0,
y_chunk_size: int = 0,
) -> None: ...
class Mpl2014ContourGenerator(ContourGenerator):
def __init__(
self,
x: CoordinateArray,
y: CoordinateArray,
z: CoordinateArray,
mask: MaskArray,
*,
corner_mask: bool,
x_chunk_size: int = 0,
y_chunk_size: int = 0,
) -> None: ...
class SerialContourGenerator(ContourGenerator):
def __init__(
self,
x: CoordinateArray,
y: CoordinateArray,
z: CoordinateArray,
mask: MaskArray,
*,
corner_mask: bool,
line_type: LineType,
fill_type: FillType,
quad_as_tri: bool,
z_interp: ZInterp,
x_chunk_size: int = 0,
y_chunk_size: int = 0,
) -> None: ...
def _write_cache(self) -> NoReturn: ...
class ThreadedContourGenerator(ContourGenerator):
def __init__(
self,
x: CoordinateArray,
y: CoordinateArray,
z: CoordinateArray,
mask: MaskArray,
*,
corner_mask: bool,
line_type: LineType,
fill_type: FillType,
quad_as_tri: bool,
z_interp: ZInterp,
x_chunk_size: int = 0,
y_chunk_size: int = 0,
thread_count: int = 0,
) -> None: ...
def _write_cache(self) -> None: ...