style and type fixes (per flake8)
could potentially fix some bugs in `Library` class and dxf reader
This commit is contained in:
parent
f6ad272c2c
commit
f364970403
29
.flake8
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29
.flake8
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@ -0,0 +1,29 @@
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[flake8]
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ignore =
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# E501 line too long
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E501,
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# W391 newlines at EOF
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W391,
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# E241 multiple spaces after comma
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E241,
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# E302 expected 2 newlines
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E302,
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# W503 line break before binary operator (to be deprecated)
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W503,
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# E265 block comment should start with '# '
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E265,
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# E123 closing bracket does not match indentation of opening bracket's line
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E123,
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# E124 closing bracket does not match visual indentation
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E124,
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# E221 multiple spaces before operator
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E221,
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# E201 whitespace after '['
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E201,
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# E741 ambiguous variable name 'I'
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E741,
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per-file-ignores =
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# F401 import without use
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*/__init__.py: F401,
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@ -1,3 +1,4 @@
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"""
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Functions for reading from and writing to various file formats.
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"""
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"""
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@ -1,10 +1,9 @@
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"""
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DXF file format readers and writers
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"""
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from typing import List, Any, Dict, Tuple, Callable, Union, Sequence, Iterable, Optional
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from typing import List, Any, Dict, Tuple, Callable, Union, Sequence, Iterable
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import re
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import io
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import copy
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import base64
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import struct
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import logging
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@ -12,15 +11,12 @@ import pathlib
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import gzip
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import numpy # type: ignore
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from numpy import pi
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import ezdxf # type: ignore
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from .utils import mangle_name, make_dose_table
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from .. import Pattern, SubPattern, PatternError, Label, Shape
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from ..shapes import Polygon, Path
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from ..repetition import Grid
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from ..utils import rotation_matrix_2d, get_bit, set_bit, vector2, is_scalar, layer_t
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from ..utils import remove_colinear_vertices, normalize_mirror
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from ..utils import rotation_matrix_2d, layer_t
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logger = logging.getLogger(__name__)
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@ -75,6 +71,7 @@ def write(pattern: Pattern,
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#TODO consider supporting DXF arcs?
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if disambiguate_func is None:
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disambiguate_func = disambiguate_pattern_names
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assert(disambiguate_func is not None)
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if not modify_originals:
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pattern = pattern.deepcopy().deepunlock()
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@ -125,8 +122,7 @@ def writefile(pattern: Pattern,
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open_func = open
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with open_func(path, mode='wt') as stream:
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results = write(pattern, stream, *args, **kwargs)
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return results
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write(pattern, stream, *args, **kwargs)
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def readfile(filename: Union[str, pathlib.Path],
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@ -204,25 +200,26 @@ def _read_block(block, clean_vertices: bool) -> Pattern:
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else:
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points = numpy.array(tuple(element.points()))
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attr = element.dxfattribs()
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args = {'layer': attr.get('layer', DEFAULT_LAYER),
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}
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layer = attr.get('layer', DEFAULT_LAYER)
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if points.shape[1] == 2:
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shape = Polygon(**args)
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raise PatternError('Invalid or unimplemented polygon?')
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#shape = Polygon(layer=layer)
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elif points.shape[1] > 2:
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if (points[0, 2] != points[:, 2]).any():
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raise PatternError('PolyLine has non-constant width (not yet representable in masque!)')
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elif points.shape[1] == 4 and (points[:, 3] != 0).any():
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raise PatternError('LWPolyLine has bulge (not yet representable in masque!)')
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else:
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width = points[0, 2]
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if width == 0:
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width = attr.get('const_width', 0)
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if width == 0 and numpy.array_equal(points[0], points[-1]):
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shape = Polygon(**args, vertices=points[:-1, :2])
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else:
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shape = Path(**args, width=width, vertices=points[:, :2])
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width = points[0, 2]
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if width == 0:
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width = attr.get('const_width', 0)
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shape: Union[Path, Polygon]
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if width == 0 and numpy.array_equal(points[0], points[-1]):
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shape = Polygon(layer=layer, vertices=points[:-1, :2])
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else:
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shape = Path(layer=layer, width=width, vertices=points[:, :2])
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if clean_vertices:
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try:
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@ -237,7 +234,7 @@ def _read_block(block, clean_vertices: bool) -> Pattern:
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'layer': element.dxfattribs().get('layer', DEFAULT_LAYER),
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}
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string = element.dxfattribs().get('text', '')
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height = element.dxfattribs().get('height', 0)
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# height = element.dxfattribs().get('height', 0)
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# if height != 0:
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# logger.warning('Interpreting DXF TEXT as a label despite nonzero height. '
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# 'This could be changed in the future by setting a font path in the masque DXF code.')
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@ -252,7 +249,7 @@ def _read_block(block, clean_vertices: bool) -> Pattern:
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logger.warning('Masque does not support per-axis scaling; using x-scaling only!')
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scale = abs(xscale)
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mirrored = (yscale < 0, xscale < 0)
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rotation = attr.get('rotation', 0) * pi/180
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rotation = numpy.deg2rad(attr.get('rotation', 0))
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offset = attr.get('insert', (0, 0, 0))[:2]
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@ -266,11 +263,10 @@ def _read_block(block, clean_vertices: bool) -> Pattern:
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}
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if 'column_count' in attr:
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args['repetition'] = Grid(
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a_vector=(attr['column_spacing'], 0),
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b_vector=(0, attr['row_spacing']),
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a_count=attr['column_count'],
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b_count=attr['row_count'])
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args['repetition'] = Grid(a_vector=(attr['column_spacing'], 0),
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b_vector=(0, attr['row_spacing']),
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a_count=attr['column_count'],
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b_count=attr['row_count'])
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pat.subpatterns.append(SubPattern(**args))
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else:
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logger.warning(f'Ignoring DXF element {element.dxftype()} (not implemented).')
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@ -356,11 +352,11 @@ def _mlayer2dxf(layer: layer_t) -> str:
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def disambiguate_pattern_names(patterns: Sequence[Pattern],
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max_name_length: int = 32,
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suffix_length: int = 6,
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dup_warn_filter: Callable[[str,], bool] = None, # If returns False, don't warn about this name
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dup_warn_filter: Callable[[str], bool] = None, # If returns False, don't warn about this name
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) -> None:
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used_names = []
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for pat in patterns:
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sanitized_name = re.compile('[^A-Za-z0-9_\?\$]').sub('_', pat.name)
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sanitized_name = re.compile(r'[^A-Za-z0-9_\?\$]').sub('_', pat.name)
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i = 0
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suffixed_name = sanitized_name
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@ -374,15 +370,15 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
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logger.warning(f'Empty pattern name saved as "{suffixed_name}"')
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elif suffixed_name != sanitized_name:
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if dup_warn_filter is None or dup_warn_filter(pat.name):
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logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n' +
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f' renaming to "{suffixed_name}"')
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logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n'
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+ f' renaming to "{suffixed_name}"')
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if len(suffixed_name) == 0:
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# Should never happen since zero-length names are replaced
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raise PatternError(f'Zero-length name after sanitize,\n originally "{pat.name}"')
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if len(suffixed_name) > max_name_length:
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raise PatternError(f'Pattern name "{suffixed_name!r}" length > {max_name_length} after encode,\n' +
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f' originally "{pat.name}"')
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raise PatternError(f'Pattern name "{suffixed_name!r}" length > {max_name_length} after encode,\n'
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+ f' originally "{pat.name}"')
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pat.name = suffixed_name
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used_names.append(suffixed_name)
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@ -17,8 +17,8 @@ Notes:
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* ELFLAGS are not supported
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* GDS does not support library- or structure-level annotations
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"""
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from typing import List, Any, Dict, Tuple, Callable, Union, Sequence, Iterable, Optional
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from typing import Sequence, Mapping
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from typing import List, Any, Dict, Tuple, Callable, Union, Iterable, Optional
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from typing import Sequence
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import re
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import io
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import copy
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@ -34,25 +34,23 @@ import gdsii.library
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import gdsii.structure
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import gdsii.elements
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from .utils import mangle_name, make_dose_table, dose2dtype, dtype2dose, clean_pattern_vertices
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from .utils import is_gzipped
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from .utils import clean_pattern_vertices, is_gzipped
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from .. import Pattern, SubPattern, PatternError, Label, Shape
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from ..shapes import Polygon, Path
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from ..repetition import Grid
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from ..utils import rotation_matrix_2d, get_bit, set_bit, vector2, is_scalar, layer_t
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from ..utils import remove_colinear_vertices, normalize_mirror, annotations_t
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from ..utils import get_bit, set_bit, layer_t, normalize_mirror, annotations_t
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logger = logging.getLogger(__name__)
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path_cap_map = {
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None: Path.Cap.Flush,
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0: Path.Cap.Flush,
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1: Path.Cap.Circle,
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2: Path.Cap.Square,
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4: Path.Cap.SquareCustom,
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}
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None: Path.Cap.Flush,
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0: Path.Cap.Flush,
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1: Path.Cap.Circle,
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2: Path.Cap.Square,
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4: Path.Cap.SquareCustom,
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}
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def build(patterns: Union[Pattern, Sequence[Pattern]],
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@ -262,8 +260,7 @@ def read(stream: io.BufferedIOBase,
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string=element.string.decode('ASCII'))
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pat.labels.append(label)
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elif (isinstance(element, gdsii.elements.SRef) or
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isinstance(element, gdsii.elements.ARef)):
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elif isinstance(element, (gdsii.elements.SRef, gdsii.elements.ARef)):
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pat.subpatterns.append(_ref_to_subpat(element))
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if clean_vertices:
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@ -358,7 +355,7 @@ def _gpath_to_mpath(element: gdsii.elements.Path, raw_mode: bool) -> Path:
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'width': element.width if element.width is not None else 0.0,
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'cap': cap,
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'offset': numpy.zeros(2),
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'annotations':_properties_to_annotations(element.properties),
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'annotations': _properties_to_annotations(element.properties),
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'raw': raw_mode,
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}
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@ -376,7 +373,7 @@ def _boundary_to_polygon(element: gdsii.elements.Boundary, raw_mode: bool) -> Po
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args = {'vertices': element.xy[:-1].astype(float),
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'layer': (element.layer, element.data_type),
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'offset': numpy.zeros(2),
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'annotations':_properties_to_annotations(element.properties),
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'annotations': _properties_to_annotations(element.properties),
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'raw': raw_mode,
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}
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return Polygon(**args)
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@ -398,14 +395,14 @@ def _subpatterns_to_refs(subpatterns: List[SubPattern]
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ref: Union[gdsii.elements.SRef, gdsii.elements.ARef]
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if isinstance(rep, Grid):
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xy = numpy.array(subpat.offset) + [
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[0, 0],
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rep.a_vector * rep.a_count,
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rep.b_vector * rep.b_count,
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]
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[0, 0],
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rep.a_vector * rep.a_count,
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rep.b_vector * rep.b_count,
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]
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ref = gdsii.elements.ARef(struct_name=encoded_name,
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xy=numpy.round(xy).astype(int),
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cols=numpy.round(rep.a_count).astype(int),
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rows=numpy.round(rep.b_count).astype(int))
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xy=numpy.round(xy).astype(int),
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cols=numpy.round(rep.a_count).astype(int),
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rows=numpy.round(rep.b_count).astype(int))
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new_refs = [ref]
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elif rep is None:
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ref = gdsii.elements.SRef(struct_name=encoded_name,
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@ -437,7 +434,7 @@ def _annotations_to_properties(annotations: annotations_t, max_len: int = 126) -
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for key, vals in annotations.items():
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try:
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i = int(key)
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except:
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except ValueError:
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raise PatternError(f'Annotation key {key} is not convertable to an integer')
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if not (0 < i < 126):
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raise PatternError(f'Annotation key {key} converts to {i} (must be in the range [1,125])')
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@ -464,7 +461,7 @@ def _shapes_to_elements(shapes: List[Shape],
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if isinstance(shape, Path) and not polygonize_paths:
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xy = numpy.round(shape.vertices + shape.offset).astype(int)
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width = numpy.round(shape.width).astype(int)
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path_type = next(k for k, v in path_cap_map.items() if v == shape.cap) #reverse lookup
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path_type = next(k for k, v in path_cap_map.items() if v == shape.cap) # reverse lookup
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path = gdsii.elements.Path(layer=layer,
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data_type=data_type,
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xy=xy)
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@ -502,7 +499,7 @@ def _labels_to_texts(labels: List[Label]) -> List[gdsii.elements.Text]:
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def disambiguate_pattern_names(patterns: Sequence[Pattern],
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max_name_length: int = 32,
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suffix_length: int = 6,
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dup_warn_filter: Optional[Callable[[str,], bool]] = None,
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dup_warn_filter: Optional[Callable[[str], bool]] = None,
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):
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"""
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Args:
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@ -519,13 +516,13 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
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# Shorten names which already exceed max-length
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if len(pat.name) > max_name_length:
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shortened_name = pat.name[:max_name_length - suffix_length]
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logger.warning(f'Pattern name "{pat.name}" is too long ({len(pat.name)}/{max_name_length} chars),\n' +
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f' shortening to "{shortened_name}" before generating suffix')
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logger.warning(f'Pattern name "{pat.name}" is too long ({len(pat.name)}/{max_name_length} chars),\n'
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+ f' shortening to "{shortened_name}" before generating suffix')
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else:
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shortened_name = pat.name
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# Remove invalid characters
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sanitized_name = re.compile('[^A-Za-z0-9_\?\$]').sub('_', shortened_name)
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sanitized_name = re.compile(r'[^A-Za-z0-9_\?\$]').sub('_', shortened_name)
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# Add a suffix that makes the name unique
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i = 0
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@ -540,8 +537,8 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
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logger.warning(f'Empty pattern name saved as "{suffixed_name}"')
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elif suffixed_name != sanitized_name:
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if dup_warn_filter is None or dup_warn_filter(pat.name):
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logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n' +
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f' renaming to "{suffixed_name}"')
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logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n'
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+ f' renaming to "{suffixed_name}"')
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# Encode into a byte-string and perform some final checks
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encoded_name = suffixed_name.encode('ASCII')
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@ -549,8 +546,8 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
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# Should never happen since zero-length names are replaced
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raise PatternError(f'Zero-length name after sanitize+encode,\n originally "{pat.name}"')
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if len(encoded_name) > max_name_length:
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raise PatternError(f'Pattern name "{encoded_name!r}" length > {max_name_length} after encode,\n' +
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f' originally "{pat.name}"')
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raise PatternError(f'Pattern name "{encoded_name!r}" length > {max_name_length} after encode,\n'
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+ f' originally "{pat.name}"')
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pat.name = suffixed_name
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used_names.append(suffixed_name)
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@ -18,8 +18,8 @@ Notes:
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* GDS does not support library- or structure-level annotations
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* Creation/modification/access times are set to 1900-01-01 for reproducibility.
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"""
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from typing import List, Any, Dict, Tuple, Callable, Union, Sequence, Iterable, Optional
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from typing import Sequence, Mapping, BinaryIO
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from typing import List, Any, Dict, Tuple, Callable, Union, Iterable, Optional
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from typing import Sequence, BinaryIO
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import re
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import io
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import mmap
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@ -29,29 +29,27 @@ import struct
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import logging
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import pathlib
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import gzip
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from itertools import chain
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import numpy # type: ignore
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import klamath
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from klamath import records
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from .utils import mangle_name, make_dose_table, dose2dtype, dtype2dose, is_gzipped
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from .utils import is_gzipped
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from .. import Pattern, SubPattern, PatternError, Label, Shape
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from ..shapes import Polygon, Path
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from ..repetition import Grid
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from ..utils import rotation_matrix_2d, get_bit, set_bit, vector2, is_scalar, layer_t
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from ..utils import remove_colinear_vertices, normalize_mirror, annotations_t
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from ..utils import layer_t, normalize_mirror, annotations_t
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from ..library import Library
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logger = logging.getLogger(__name__)
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|
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path_cap_map = {
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0: Path.Cap.Flush,
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1: Path.Cap.Circle,
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2: Path.Cap.Square,
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4: Path.Cap.SquareCustom,
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}
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0: Path.Cap.Flush,
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1: Path.Cap.Circle,
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2: Path.Cap.Square,
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4: Path.Cap.SquareCustom,
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}
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|
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def write(patterns: Union[Pattern, Sequence[Pattern]],
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@ -144,15 +142,15 @@ def writefile(patterns: Union[Sequence[Pattern], Pattern],
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**kwargs,
|
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) -> None:
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"""
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Wrapper for `masque.file.gdsii.write()` that takes a filename or path instead of a stream.
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Wrapper for `write()` that takes a filename or path instead of a stream.
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|
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Will automatically compress the file if it has a .gz suffix.
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Args:
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patterns: `Pattern` or list of patterns to save
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filename: Filename to save to.
|
||||
*args: passed to `masque.file.gdsii.write`
|
||||
**kwargs: passed to `masque.file.gdsii.write`
|
||||
*args: passed to `write()`
|
||||
**kwargs: passed to `write()`
|
||||
"""
|
||||
path = pathlib.Path(filename)
|
||||
if path.suffix == '.gz':
|
||||
@ -169,14 +167,14 @@ def readfile(filename: Union[str, pathlib.Path],
|
||||
**kwargs,
|
||||
) -> Tuple[Dict[str, Pattern], Dict[str, Any]]:
|
||||
"""
|
||||
Wrapper for `masque.file.gdsii.read()` that takes a filename or path instead of a stream.
|
||||
Wrapper for `read()` that takes a filename or path instead of a stream.
|
||||
|
||||
Will automatically decompress gzipped files.
|
||||
|
||||
Args:
|
||||
filename: Filename to save to.
|
||||
*args: passed to `masque.file.gdsii.read`
|
||||
**kwargs: passed to `masque.file.gdsii.read`
|
||||
*args: passed to `read()`
|
||||
**kwargs: passed to `read()`
|
||||
"""
|
||||
path = pathlib.Path(filename)
|
||||
if is_gzipped(path):
|
||||
@ -185,7 +183,7 @@ def readfile(filename: Union[str, pathlib.Path],
|
||||
open_func = open
|
||||
|
||||
with io.BufferedReader(open_func(path, mode='rb')) as stream:
|
||||
results = read(stream)#, *args, **kwargs)
|
||||
results = read(stream, *args, **kwargs)
|
||||
return results
|
||||
|
||||
|
||||
@ -216,7 +214,7 @@ def read(stream: BinaryIO,
|
||||
found_struct = records.BGNSTR.skip_past(stream)
|
||||
while found_struct:
|
||||
name = records.STRNAME.skip_and_read(stream)
|
||||
pat = read_elements(stream, name=name.decode('ASCII'))
|
||||
pat = read_elements(stream, name=name.decode('ASCII'), raw_mode=raw_mode)
|
||||
patterns.append(pat)
|
||||
found_struct = records.BGNSTR.skip_past(stream)
|
||||
|
||||
@ -368,10 +366,10 @@ def _subpatterns_to_refs(subpatterns: List[SubPattern]
|
||||
|
||||
if isinstance(rep, Grid):
|
||||
xy = numpy.array(subpat.offset) + [
|
||||
[0, 0],
|
||||
rep.a_vector * rep.a_count,
|
||||
rep.b_vector * rep.b_count,
|
||||
]
|
||||
[0, 0],
|
||||
rep.a_vector * rep.a_count,
|
||||
rep.b_vector * rep.b_count,
|
||||
]
|
||||
aref = klamath.library.Reference(struct_name=encoded_name,
|
||||
xy=numpy.round(xy).astype(int),
|
||||
colrow=(numpy.round(rep.a_count), numpy.round(rep.b_count)),
|
||||
@ -412,7 +410,7 @@ def _annotations_to_properties(annotations: annotations_t, max_len: int = 126) -
|
||||
for key, vals in annotations.items():
|
||||
try:
|
||||
i = int(key)
|
||||
except:
|
||||
except ValueError:
|
||||
raise PatternError(f'Annotation key {key} is not convertable to an integer')
|
||||
if not (0 < i < 126):
|
||||
raise PatternError(f'Annotation key {key} converts to {i} (must be in the range [1,125])')
|
||||
@ -439,7 +437,7 @@ def _shapes_to_elements(shapes: List[Shape],
|
||||
if isinstance(shape, Path) and not polygonize_paths:
|
||||
xy = numpy.round(shape.vertices + shape.offset).astype(int)
|
||||
width = numpy.round(shape.width).astype(int)
|
||||
path_type = next(k for k, v in path_cap_map.items() if v == shape.cap) #reverse lookup
|
||||
path_type = next(k for k, v in path_cap_map.items() if v == shape.cap) # reverse lookup
|
||||
|
||||
extension: Tuple[int, int]
|
||||
if shape.cap == Path.Cap.SquareCustom and shape.cap_extensions is not None:
|
||||
@ -455,13 +453,13 @@ def _shapes_to_elements(shapes: List[Shape],
|
||||
properties=properties)
|
||||
elements.append(path)
|
||||
elif isinstance(shape, Polygon):
|
||||
polygon = shape
|
||||
xy_open = numpy.round(polygon.vertices + polygon.offset).astype(int)
|
||||
xy_closed = numpy.vstack((xy_open, xy_open[0, :]))
|
||||
boundary = klamath.elements.Boundary(layer=(layer, data_type),
|
||||
xy=xy_closed,
|
||||
properties=properties)
|
||||
elements.append(boundary)
|
||||
polygon = shape
|
||||
xy_open = numpy.round(polygon.vertices + polygon.offset).astype(int)
|
||||
xy_closed = numpy.vstack((xy_open, xy_open[0, :]))
|
||||
boundary = klamath.elements.Boundary(layer=(layer, data_type),
|
||||
xy=xy_closed,
|
||||
properties=properties)
|
||||
elements.append(boundary)
|
||||
else:
|
||||
for polygon in shape.to_polygons():
|
||||
xy_open = numpy.round(polygon.vertices + polygon.offset).astype(int)
|
||||
@ -483,7 +481,7 @@ def _labels_to_texts(labels: List[Label]) -> List[klamath.elements.Text]:
|
||||
xy=xy,
|
||||
string=label.string.encode('ASCII'),
|
||||
properties=properties,
|
||||
presentation=0, #TODO maybe set some of these?
|
||||
presentation=0, # TODO maybe set some of these?
|
||||
angle_deg=0,
|
||||
invert_y=False,
|
||||
width=0,
|
||||
@ -496,7 +494,7 @@ def _labels_to_texts(labels: List[Label]) -> List[klamath.elements.Text]:
|
||||
def disambiguate_pattern_names(patterns: Sequence[Pattern],
|
||||
max_name_length: int = 32,
|
||||
suffix_length: int = 6,
|
||||
dup_warn_filter: Optional[Callable[[str,], bool]] = None,
|
||||
dup_warn_filter: Optional[Callable[[str], bool]] = None,
|
||||
):
|
||||
"""
|
||||
Args:
|
||||
@ -513,13 +511,13 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
|
||||
# Shorten names which already exceed max-length
|
||||
if len(pat.name) > max_name_length:
|
||||
shortened_name = pat.name[:max_name_length - suffix_length]
|
||||
logger.warning(f'Pattern name "{pat.name}" is too long ({len(pat.name)}/{max_name_length} chars),\n' +
|
||||
f' shortening to "{shortened_name}" before generating suffix')
|
||||
logger.warning(f'Pattern name "{pat.name}" is too long ({len(pat.name)}/{max_name_length} chars),\n'
|
||||
+ f' shortening to "{shortened_name}" before generating suffix')
|
||||
else:
|
||||
shortened_name = pat.name
|
||||
|
||||
# Remove invalid characters
|
||||
sanitized_name = re.compile('[^A-Za-z0-9_\?\$]').sub('_', shortened_name)
|
||||
sanitized_name = re.compile(r'[^A-Za-z0-9_\?\$]').sub('_', shortened_name)
|
||||
|
||||
# Add a suffix that makes the name unique
|
||||
i = 0
|
||||
@ -534,8 +532,8 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
|
||||
logger.warning(f'Empty pattern name saved as "{suffixed_name}"')
|
||||
elif suffixed_name != sanitized_name:
|
||||
if dup_warn_filter is None or dup_warn_filter(pat.name):
|
||||
logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n' +
|
||||
f' renaming to "{suffixed_name}"')
|
||||
logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n'
|
||||
+ f' renaming to "{suffixed_name}"')
|
||||
|
||||
# Encode into a byte-string and perform some final checks
|
||||
encoded_name = suffixed_name.encode('ASCII')
|
||||
@ -543,8 +541,8 @@ def disambiguate_pattern_names(patterns: Sequence[Pattern],
|
||||
# Should never happen since zero-length names are replaced
|
||||
raise PatternError(f'Zero-length name after sanitize+encode,\n originally "{pat.name}"')
|
||||
if len(encoded_name) > max_name_length:
|
||||
raise PatternError(f'Pattern name "{encoded_name!r}" length > {max_name_length} after encode,\n' +
|
||||
f' originally "{pat.name}"')
|
||||
raise PatternError(f'Pattern name "{encoded_name!r}" length > {max_name_length} after encode,\n'
|
||||
+ f' originally "{pat.name}"')
|
||||
|
||||
pat.name = suffixed_name
|
||||
used_names.append(suffixed_name)
|
||||
@ -576,7 +574,8 @@ def load_library(stream: BinaryIO,
|
||||
Additional library info (dict, same format as from `read`).
|
||||
"""
|
||||
if is_secondary is None:
|
||||
is_secondary = lambda k: False
|
||||
def is_secondary(k: str):
|
||||
return False
|
||||
|
||||
stream.seek(0)
|
||||
library_info = _read_header(stream)
|
||||
@ -592,7 +591,7 @@ def load_library(stream: BinaryIO,
|
||||
|
||||
lib.set_value(name, tag, mkstruct, secondary=is_secondary(name))
|
||||
|
||||
return lib
|
||||
return lib, library_info
|
||||
|
||||
|
||||
def load_libraryfile(filename: Union[str, pathlib.Path],
|
||||
|
||||
@ -22,17 +22,15 @@ import pathlib
|
||||
import gzip
|
||||
|
||||
import numpy # type: ignore
|
||||
from numpy import pi
|
||||
import fatamorgana
|
||||
import fatamorgana.records as fatrec
|
||||
from fatamorgana.basic import PathExtensionScheme, AString, NString, PropStringReference
|
||||
|
||||
from .utils import mangle_name, make_dose_table, clean_pattern_vertices, is_gzipped
|
||||
from .utils import clean_pattern_vertices, is_gzipped
|
||||
from .. import Pattern, SubPattern, PatternError, Label, Shape
|
||||
from ..shapes import Polygon, Path, Circle
|
||||
from ..repetition import Grid, Arbitrary, Repetition
|
||||
from ..utils import rotation_matrix_2d, get_bit, set_bit, vector2, is_scalar, layer_t
|
||||
from ..utils import remove_colinear_vertices, normalize_mirror, annotations_t
|
||||
from ..utils import layer_t, normalize_mirror, annotations_t
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@ -42,10 +40,10 @@ logger.warning('OASIS support is experimental and mostly untested!')
|
||||
|
||||
|
||||
path_cap_map = {
|
||||
PathExtensionScheme.Flush: Path.Cap.Flush,
|
||||
PathExtensionScheme.HalfWidth: Path.Cap.Square,
|
||||
PathExtensionScheme.Arbitrary: Path.Cap.SquareCustom,
|
||||
}
|
||||
PathExtensionScheme.Flush: Path.Cap.Flush,
|
||||
PathExtensionScheme.HalfWidth: Path.Cap.Square,
|
||||
PathExtensionScheme.Arbitrary: Path.Cap.SquareCustom,
|
||||
}
|
||||
|
||||
#TODO implement more shape types?
|
||||
|
||||
@ -120,11 +118,11 @@ def build(patterns: Union[Pattern, Sequence[Pattern]],
|
||||
for name, layer_num in layer_map.items():
|
||||
layer, data_type = _mlayer2oas(layer_num)
|
||||
lib.layers += [
|
||||
fatrec.LayerName(nstring=name,
|
||||
layer_interval=(layer, layer),
|
||||
type_interval=(data_type, data_type),
|
||||
is_textlayer=tt)
|
||||
for tt in (True, False)]
|
||||
fatrec.LayerName(nstring=name,
|
||||
layer_interval=(layer, layer),
|
||||
type_interval=(data_type, data_type),
|
||||
is_textlayer=tt)
|
||||
for tt in (True, False)]
|
||||
|
||||
def layer2oas(mlayer: layer_t) -> Tuple[int, int]:
|
||||
assert(layer_map is not None)
|
||||
@ -252,9 +250,9 @@ def read(stream: io.BufferedIOBase,
|
||||
lib = fatamorgana.OasisLayout.read(stream)
|
||||
|
||||
library_info: Dict[str, Any] = {
|
||||
'units_per_micrometer': lib.unit,
|
||||
'annotations': properties_to_annotations(lib.properties, lib.propnames, lib.propstrings),
|
||||
}
|
||||
'units_per_micrometer': lib.unit,
|
||||
'annotations': properties_to_annotations(lib.properties, lib.propnames, lib.propstrings),
|
||||
}
|
||||
|
||||
layer_map = {}
|
||||
for layer_name in lib.layers:
|
||||
@ -296,7 +294,7 @@ def read(stream: io.BufferedIOBase,
|
||||
cap_start = path_cap_map[element.get_extension_start()[0]]
|
||||
cap_end = path_cap_map[element.get_extension_end()[0]]
|
||||
if cap_start != cap_end:
|
||||
raise Exception('masque does not support multiple cap types on a single path.') #TODO handle multiple cap types
|
||||
raise Exception('masque does not support multiple cap types on a single path.') # TODO handle multiple cap types
|
||||
cap = cap_start
|
||||
|
||||
path_args: Dict[str, Any] = {}
|
||||
@ -472,7 +470,7 @@ def _mlayer2oas(mlayer: layer_t) -> Tuple[int, int]:
|
||||
data_type = 0
|
||||
else:
|
||||
raise PatternError(f'Invalid layer for OASIS: {layer}. Note that OASIS layers cannot be '
|
||||
'strings unless a layer map is provided.')
|
||||
f'strings unless a layer map is provided.')
|
||||
return layer, data_type
|
||||
|
||||
|
||||
@ -490,7 +488,7 @@ def _placement_to_subpat(placement: fatrec.Placement, lib: fatamorgana.OasisLayo
|
||||
subpat = SubPattern(offset=xy,
|
||||
pattern=None,
|
||||
mirrored=(placement.flip, False),
|
||||
rotation=float(placement.angle * pi/180),
|
||||
rotation=numpy.deg2rad(placement.angle),
|
||||
scale=float(mag),
|
||||
identifier=(name,),
|
||||
repetition=repetition_fata2masq(placement.repetition),
|
||||
@ -512,14 +510,14 @@ def _subpatterns_to_placements(subpatterns: List[SubPattern]
|
||||
offset = numpy.round(subpat.offset + rep_offset).astype(int)
|
||||
angle = numpy.rad2deg(subpat.rotation + extra_angle) % 360
|
||||
ref = fatrec.Placement(
|
||||
name=subpat.pattern.name,
|
||||
flip=mirror_across_x,
|
||||
angle=angle,
|
||||
magnification=subpat.scale,
|
||||
properties=annotations_to_properties(subpat.annotations),
|
||||
x=offset[0],
|
||||
y=offset[1],
|
||||
repetition=frep)
|
||||
name=subpat.pattern.name,
|
||||
flip=mirror_across_x,
|
||||
angle=angle,
|
||||
magnification=subpat.scale,
|
||||
properties=annotations_to_properties(subpat.annotations),
|
||||
x=offset[0],
|
||||
y=offset[1],
|
||||
repetition=frep)
|
||||
|
||||
refs.append(ref)
|
||||
return refs
|
||||
@ -549,7 +547,7 @@ def _shapes_to_elements(shapes: List[Shape],
|
||||
xy = numpy.round(shape.offset + shape.vertices[0] + rep_offset).astype(int)
|
||||
deltas = numpy.round(numpy.diff(shape.vertices, axis=0)).astype(int)
|
||||
half_width = numpy.round(shape.width / 2).astype(int)
|
||||
path_type = next(k for k, v in path_cap_map.items() if v == shape.cap) #reverse lookup
|
||||
path_type = next(k for k, v in path_cap_map.items() if v == shape.cap) # reverse lookup
|
||||
extension_start = (path_type, shape.cap_extensions[0] if shape.cap_extensions is not None else None)
|
||||
extension_end = (path_type, shape.cap_extensions[1] if shape.cap_extensions is not None else None)
|
||||
path = fatrec.Path(layer=layer,
|
||||
@ -558,7 +556,7 @@ def _shapes_to_elements(shapes: List[Shape],
|
||||
half_width=half_width,
|
||||
x=xy[0],
|
||||
y=xy[1],
|
||||
extension_start=extension_start, #TODO implement multiple cap types?
|
||||
extension_start=extension_start, # TODO implement multiple cap types?
|
||||
extension_end=extension_end,
|
||||
properties=properties,
|
||||
repetition=repetition,
|
||||
@ -598,11 +596,11 @@ def _labels_to_texts(labels: List[Label],
|
||||
|
||||
|
||||
def disambiguate_pattern_names(patterns,
|
||||
dup_warn_filter: Callable[[str,], bool] = None, # If returns False, don't warn about this name
|
||||
dup_warn_filter: Callable[[str], bool] = None, # If returns False, don't warn about this name
|
||||
):
|
||||
used_names = []
|
||||
for pat in patterns:
|
||||
sanitized_name = re.compile('[^A-Za-z0-9_\?\$]').sub('_', pat.name)
|
||||
sanitized_name = re.compile(r'[^A-Za-z0-9_\?\$]').sub('_', pat.name)
|
||||
|
||||
i = 0
|
||||
suffixed_name = sanitized_name
|
||||
@ -616,8 +614,8 @@ def disambiguate_pattern_names(patterns,
|
||||
logger.warning(f'Empty pattern name saved as "{suffixed_name}"')
|
||||
elif suffixed_name != sanitized_name:
|
||||
if dup_warn_filter is None or dup_warn_filter(pat.name):
|
||||
logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n' +
|
||||
f' renaming to "{suffixed_name}"')
|
||||
logger.warning(f'Pattern name "{pat.name}" ({sanitized_name}) appears multiple times;\n'
|
||||
+ f' renaming to "{suffixed_name}"')
|
||||
|
||||
if len(suffixed_name) == 0:
|
||||
# Should never happen since zero-length names are replaced
|
||||
@ -653,10 +651,10 @@ def repetition_masq2fata(rep: Optional[Repetition]
|
||||
frep: Union[fatamorgana.GridRepetition, fatamorgana.ArbitraryRepetition, None]
|
||||
if isinstance(rep, Grid):
|
||||
frep = fatamorgana.GridRepetition(
|
||||
a_vector=numpy.round(rep.a_vector).astype(int),
|
||||
b_vector=numpy.round(rep.b_vector).astype(int),
|
||||
a_count=numpy.round(rep.a_count).astype(int),
|
||||
b_count=numpy.round(rep.b_count).astype(int))
|
||||
a_vector=numpy.round(rep.a_vector).astype(int),
|
||||
b_vector=numpy.round(rep.b_vector).astype(int),
|
||||
a_count=numpy.round(rep.a_count).astype(int),
|
||||
b_count=numpy.round(rep.b_count).astype(int))
|
||||
offset = (0, 0)
|
||||
elif isinstance(rep, Arbitrary):
|
||||
diffs = numpy.diff(rep.displacements, axis=0)
|
||||
|
||||
@ -13,7 +13,8 @@ from .. import Pattern
|
||||
|
||||
def writefile(pattern: Pattern,
|
||||
filename: str,
|
||||
custom_attributes: bool=False):
|
||||
custom_attributes: bool = False,
|
||||
) -> None:
|
||||
"""
|
||||
Write a Pattern to an SVG file, by first calling .polygonize() on it
|
||||
to change the shapes into polygons, and then writing patterns as SVG
|
||||
|
||||
@ -4,14 +4,13 @@ Helper functions for file reading and writing
|
||||
from typing import Set, Tuple, List
|
||||
import re
|
||||
import copy
|
||||
import gzip
|
||||
import pathlib
|
||||
|
||||
from .. import Pattern, PatternError
|
||||
from ..shapes import Polygon, Path
|
||||
|
||||
|
||||
def mangle_name(pattern: Pattern, dose_multiplier: float=1.0) -> str:
|
||||
def mangle_name(pattern: Pattern, dose_multiplier: float = 1.0) -> str:
|
||||
"""
|
||||
Create a name using `pattern.name`, `id(pattern)`, and the dose multiplier.
|
||||
|
||||
@ -22,7 +21,7 @@ def mangle_name(pattern: Pattern, dose_multiplier: float=1.0) -> str:
|
||||
Returns:
|
||||
Mangled name.
|
||||
"""
|
||||
expression = re.compile('[^A-Za-z0-9_\?\$]')
|
||||
expression = re.compile(r'[^A-Za-z0-9_\?\$]')
|
||||
full_name = '{}_{}_{}'.format(pattern.name, dose_multiplier, id(pattern))
|
||||
sanitized_name = expression.sub('_', full_name)
|
||||
return sanitized_name
|
||||
@ -52,7 +51,7 @@ def clean_pattern_vertices(pat: Pattern) -> Pattern:
|
||||
return pat
|
||||
|
||||
|
||||
def make_dose_table(patterns: List[Pattern], dose_multiplier: float=1.0) -> Set[Tuple[int, float]]:
|
||||
def make_dose_table(patterns: List[Pattern], dose_multiplier: float = 1.0) -> Set[Tuple[int, float]]:
|
||||
"""
|
||||
Create a set containing `(id(pat), written_dose)` for each pattern (including subpatterns)
|
||||
|
||||
@ -144,14 +143,14 @@ def dose2dtype(patterns: List[Pattern],
|
||||
|
||||
# Create a new pattern for each non-1-dose entry in the dose table
|
||||
# and update the shapes to reflect their new dose
|
||||
new_pats = {} # (id, dose) -> new_pattern mapping
|
||||
new_pats = {} # (id, dose) -> new_pattern mapping
|
||||
for pat_id, pat_dose in sd_table:
|
||||
if pat_dose == 1:
|
||||
new_pats[(pat_id, pat_dose)] = patterns_by_id[pat_id]
|
||||
continue
|
||||
|
||||
old_pat = patterns_by_id[pat_id]
|
||||
pat = old_pat.copy() # keep old subpatterns
|
||||
pat = old_pat.copy() # keep old subpatterns
|
||||
pat.shapes = copy.deepcopy(old_pat.shapes)
|
||||
pat.labels = copy.deepcopy(old_pat.labels)
|
||||
|
||||
|
||||
@ -1,10 +1,8 @@
|
||||
from typing import List, Tuple, Dict, Optional
|
||||
from typing import Tuple, Dict, Optional
|
||||
import copy
|
||||
import numpy # type: ignore
|
||||
from numpy import pi
|
||||
|
||||
from .repetition import Repetition
|
||||
from .error import PatternError, PatternLockedError
|
||||
from .utils import vector2, rotation_matrix_2d, layer_t, AutoSlots, annotations_t
|
||||
from .traits import PositionableImpl, LayerableImpl, Copyable, Pivotable, LockableImpl, RepeatableImpl
|
||||
from .traits import AnnotatableImpl
|
||||
@ -63,7 +61,7 @@ class Label(PositionableImpl, LayerableImpl, LockableImpl, RepeatableImpl, Annot
|
||||
repetition=self.repetition,
|
||||
locked=self.locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Label':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Label':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
|
||||
@ -2,12 +2,11 @@
|
||||
Library class for managing unique name->pattern mappings and
|
||||
deferred loading or creation.
|
||||
"""
|
||||
from typing import Dict, Callable, TypeVar, Generic, TYPE_CHECKING
|
||||
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
|
||||
from functools import lru_cache
|
||||
|
||||
from ..error import LibraryError
|
||||
|
||||
@ -133,13 +132,13 @@ class Library:
|
||||
return pat
|
||||
|
||||
def keys(self) -> Iterator[str]:
|
||||
return self.primary.keys()
|
||||
return iter(self.primary.keys())
|
||||
|
||||
def values(self) -> Iterator['Pattern']:
|
||||
return (self[key] for key in self.keys())
|
||||
return iter(self[key] for key in self.keys())
|
||||
|
||||
def items(self) -> Iterator[Tuple[str, 'Pattern']]:
|
||||
return ((key, self[key]) for key in self.keys())
|
||||
return iter((key, self[key]) for key in self.keys())
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return '<Library with keys ' + repr(list(self.primary.keys())) + '>'
|
||||
@ -191,7 +190,7 @@ class Library:
|
||||
for key in self.primary:
|
||||
_ = self.get_primary(key)
|
||||
for key2 in self.secondary:
|
||||
_ = self.get_secondary(key2)
|
||||
_ = self.get_secondary(*key2)
|
||||
return self
|
||||
|
||||
def add(self, other: 'Library') -> 'Library':
|
||||
|
||||
@ -93,7 +93,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
raise PatternLockedError()
|
||||
object.__setattr__(self, name, value)
|
||||
|
||||
def __copy__(self, memo: Dict = None) -> 'Pattern':
|
||||
def __copy__(self, memo: Dict = None) -> 'Pattern':
|
||||
return Pattern(name=self.name,
|
||||
shapes=copy.deepcopy(self.shapes),
|
||||
labels=copy.deepcopy(self.labels),
|
||||
@ -101,14 +101,15 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
annotations=copy.deepcopy(self.annotations),
|
||||
locked=self.locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Pattern':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Pattern':
|
||||
memo = {} if memo is None else memo
|
||||
new = Pattern(name=self.name,
|
||||
shapes=copy.deepcopy(self.shapes, memo),
|
||||
labels=copy.deepcopy(self.labels, memo),
|
||||
subpatterns=copy.deepcopy(self.subpatterns, memo),
|
||||
annotations=copy.deepcopy(self.annotations, memo),
|
||||
locked=self.locked)
|
||||
new = Pattern(
|
||||
name=self.name,
|
||||
shapes=copy.deepcopy(self.shapes, memo),
|
||||
labels=copy.deepcopy(self.labels, memo),
|
||||
subpatterns=copy.deepcopy(self.subpatterns, memo),
|
||||
annotations=copy.deepcopy(self.annotations, memo),
|
||||
locked=self.locked)
|
||||
return new
|
||||
|
||||
def rename(self, name: str) -> 'Pattern':
|
||||
@ -281,7 +282,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
if transform is not False:
|
||||
sign = numpy.ones(2)
|
||||
if transform[3]:
|
||||
sign[1] = -1
|
||||
sign[1] = -1
|
||||
xy = numpy.dot(rotation_matrix_2d(transform[2]), subpattern.offset * sign)
|
||||
mirror_x, angle = normalize_mirror(subpattern.mirrored)
|
||||
angle += subpattern.rotation
|
||||
@ -325,8 +326,8 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
"""
|
||||
old_shapes = self.shapes
|
||||
self.shapes = list(chain.from_iterable(
|
||||
(shape.to_polygons(poly_num_points, poly_max_arclen)
|
||||
for shape in old_shapes)))
|
||||
(shape.to_polygons(poly_num_points, poly_max_arclen)
|
||||
for shape in old_shapes)))
|
||||
for subpat in self.subpatterns:
|
||||
if subpat.pattern is not None:
|
||||
subpat.pattern.polygonize(poly_num_points, poly_max_arclen)
|
||||
@ -351,7 +352,7 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
self.polygonize().flatten()
|
||||
old_shapes = self.shapes
|
||||
self.shapes = list(chain.from_iterable(
|
||||
(shape.manhattanize(grid_x, grid_y) for shape in old_shapes)))
|
||||
(shape.manhattanize(grid_x, grid_y) for shape in old_shapes)))
|
||||
return self
|
||||
|
||||
def subpatternize(self,
|
||||
@ -518,7 +519,6 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
ids.update(pat.subpatterns_by_id(include_none=include_none))
|
||||
return dict(ids)
|
||||
|
||||
|
||||
def get_bounds(self) -> Union[numpy.ndarray, None]:
|
||||
"""
|
||||
Return a `numpy.ndarray` containing `[[x_min, y_min], [x_max, y_max]]`, corresponding to the
|
||||
@ -625,7 +625,6 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
|
||||
return self
|
||||
|
||||
|
||||
def translate_elements(self, offset: vector2) -> 'Pattern':
|
||||
"""
|
||||
Translates all shapes, label, and subpatterns by the given offset.
|
||||
@ -805,9 +804,9 @@ class Pattern(LockableImpl, AnnotatableImpl, metaclass=AutoSlots):
|
||||
Returns:
|
||||
True if the pattern is contains no shapes, labels, or subpatterns.
|
||||
"""
|
||||
return (len(self.subpatterns) == 0 and
|
||||
len(self.shapes) == 0 and
|
||||
len(self.labels) == 0)
|
||||
return (len(self.subpatterns) == 0
|
||||
and len(self.shapes) == 0
|
||||
and len(self.labels) == 0)
|
||||
|
||||
def lock(self) -> 'Pattern':
|
||||
"""
|
||||
|
||||
@ -3,13 +3,13 @@
|
||||
instances of an object .
|
||||
"""
|
||||
|
||||
from typing import Union, List, Dict, Tuple, Optional, Sequence, TYPE_CHECKING, Any
|
||||
from typing import Union, Dict, Optional, Sequence, Any
|
||||
import copy
|
||||
from abc import ABCMeta, abstractmethod
|
||||
|
||||
import numpy # type: ignore
|
||||
|
||||
from .error import PatternError, PatternLockedError
|
||||
from .error import PatternError
|
||||
from .utils import rotation_matrix_2d, vector2, AutoSlots
|
||||
from .traits import LockableImpl, Copyable, Scalable, Rotatable, Mirrorable
|
||||
|
||||
@ -103,7 +103,7 @@ class Grid(LockableImpl, Repetition, metaclass=AutoSlots):
|
||||
self.b_count = b_count
|
||||
self.locked = locked
|
||||
|
||||
def __copy__(self) -> 'Grid':
|
||||
def __copy__(self) -> 'Grid':
|
||||
new = Grid(a_vector=self.a_vector.copy(),
|
||||
b_vector=copy.copy(self.b_vector),
|
||||
a_count=self.a_count,
|
||||
@ -111,7 +111,7 @@ class Grid(LockableImpl, Repetition, metaclass=AutoSlots):
|
||||
locked=self.locked)
|
||||
return new
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Grid':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Grid':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new.locked = self.locked
|
||||
@ -170,8 +170,8 @@ class Grid(LockableImpl, Repetition, metaclass=AutoSlots):
|
||||
@property
|
||||
def displacements(self) -> numpy.ndarray:
|
||||
aa, bb = numpy.meshgrid(numpy.arange(self.a_count), numpy.arange(self.b_count), indexing='ij')
|
||||
return (aa.flatten()[:, None] * self.a_vector[None, :] +
|
||||
bb.flatten()[:, None] * self.b_vector[None, :])
|
||||
return (aa.flatten()[:, None] * self.a_vector[None, :]
|
||||
+ bb.flatten()[:, None] * self.b_vector[None, :]) # noqa
|
||||
|
||||
def rotate(self, rotation: float) -> 'Grid':
|
||||
"""
|
||||
@ -199,9 +199,9 @@ class Grid(LockableImpl, Repetition, metaclass=AutoSlots):
|
||||
Returns:
|
||||
self
|
||||
"""
|
||||
self.a_vector[1-axis] *= -1
|
||||
self.a_vector[1 - axis] *= -1
|
||||
if self.b_vector is not None:
|
||||
self.b_vector[1-axis] *= -1
|
||||
self.b_vector[1 - axis] *= -1
|
||||
return self
|
||||
|
||||
def get_bounds(self) -> Optional[numpy.ndarray]:
|
||||
@ -377,7 +377,7 @@ class Arbitrary(LockableImpl, Repetition, metaclass=AutoSlots):
|
||||
Returns:
|
||||
self
|
||||
"""
|
||||
self.displacements[1-axis] *= -1
|
||||
self.displacements[1 - axis] *= -1
|
||||
return self
|
||||
|
||||
def get_bounds(self) -> Optional[numpy.ndarray]:
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
from typing import List, Tuple, Dict, Optional, Sequence
|
||||
from typing import List, Dict, Optional, Sequence
|
||||
import copy
|
||||
import math
|
||||
|
||||
@ -81,7 +81,7 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
|
||||
# arc start/stop angle properties
|
||||
@property
|
||||
def angles(self) -> numpy.ndarray: #ndarray[float]
|
||||
def angles(self) -> numpy.ndarray:
|
||||
"""
|
||||
Return the start and stop angles `[a_start, a_stop]`.
|
||||
Angles are measured from x-axis after rotation
|
||||
@ -194,7 +194,7 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
[self.mirror(a) for a, do in enumerate(mirrored) if do]
|
||||
self.set_locked(locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Arc':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Arc':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
@ -214,8 +214,8 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
poly_max_arclen = self.poly_max_arclen
|
||||
|
||||
if (poly_num_points is None) and (poly_max_arclen is None):
|
||||
raise PatternError('Max number of points and arclength left unspecified' +
|
||||
' (default was also overridden)')
|
||||
raise PatternError('Max number of points and arclength left unspecified'
|
||||
+ ' (default was also overridden)')
|
||||
|
||||
r0, r1 = self.radii
|
||||
|
||||
@ -273,7 +273,7 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
mins = []
|
||||
maxs = []
|
||||
for a, sgn in zip(a_ranges, (-1, +1)):
|
||||
wh = sgn * self.width/2
|
||||
wh = sgn * self.width / 2
|
||||
rx = self.radius_x + wh
|
||||
ry = self.radius_y + wh
|
||||
|
||||
@ -287,7 +287,7 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
|
||||
# Cutoff angles
|
||||
xpt = (-self.rotation) % (2 * pi) + a0_offset
|
||||
ypt = (pi/2 - self.rotation) % (2 * pi) + a0_offset
|
||||
ypt = (pi / 2 - self.rotation) % (2 * pi) + a0_offset
|
||||
xnt = (xpt - pi) % (2 * pi) + a0_offset
|
||||
ynt = (ypt - pi) % (2 * pi) + a0_offset
|
||||
|
||||
@ -356,9 +356,9 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
rotation %= 2 * pi
|
||||
width = self.width
|
||||
|
||||
return (type(self), radii, angles, width/norm_value, self.layer), \
|
||||
(self.offset, scale/norm_value, rotation, False, self.dose), \
|
||||
lambda: Arc(radii=radii*norm_value, angles=angles, width=width*norm_value, layer=self.layer)
|
||||
return ((type(self), radii, angles, width / norm_value, self.layer),
|
||||
(self.offset, scale / norm_value, rotation, False, self.dose),
|
||||
lambda: Arc(radii=radii * norm_value, angles=angles, width=width * norm_value, layer=self.layer))
|
||||
|
||||
def get_cap_edges(self) -> numpy.ndarray:
|
||||
'''
|
||||
@ -373,7 +373,7 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
mins = []
|
||||
maxs = []
|
||||
for a, sgn in zip(a_ranges, (-1, +1)):
|
||||
wh = sgn * self.width/2
|
||||
wh = sgn * self.width / 2
|
||||
rx = self.radius_x + wh
|
||||
ry = self.radius_y + wh
|
||||
|
||||
@ -388,7 +388,7 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
|
||||
mins.append([xn, yn])
|
||||
maxs.append([xp, yp])
|
||||
return numpy.array([mins, maxs]) + self.offset
|
||||
return numpy.array([mins, maxs]) + self.offset
|
||||
|
||||
def _angles_to_parameters(self) -> numpy.ndarray:
|
||||
'''
|
||||
@ -398,12 +398,12 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
'''
|
||||
a = []
|
||||
for sgn in (-1, +1):
|
||||
wh = sgn * self.width/2
|
||||
wh = sgn * self.width / 2
|
||||
rx = self.radius_x + wh
|
||||
ry = self.radius_y + wh
|
||||
|
||||
# create paremeter 'a' for parametrized ellipse
|
||||
a0, a1 = (numpy.arctan2(rx*numpy.sin(a), ry*numpy.cos(a)) for a in self.angles)
|
||||
a0, a1 = (numpy.arctan2(rx * numpy.sin(a), ry * numpy.cos(a)) for a in self.angles)
|
||||
sign = numpy.sign(self.angles[1] - self.angles[0])
|
||||
if sign != numpy.sign(a1 - a0):
|
||||
a1 += sign * 2 * pi
|
||||
@ -424,8 +424,8 @@ class Arc(Shape, metaclass=AutoSlots):
|
||||
return self
|
||||
|
||||
def __repr__(self) -> str:
|
||||
angles = f' a°{self.angles*180/pi}'
|
||||
rotation = f' r°{self.rotation*180/pi:g}' if self.rotation != 0 else ''
|
||||
angles = f' a°{numpy.rad2deg(self.angles)}'
|
||||
rotation = f' r°{numpy.rad2deg(self.rotation):g}' if self.rotation != 0 else ''
|
||||
dose = f' d{self.dose:g}' if self.dose != 1 else ''
|
||||
locked = ' L' if self.locked else ''
|
||||
return f'<Arc l{self.layer} o{self.offset} r{self.radii}{angles} w{self.width:g}{rotation}{dose}{locked}>'
|
||||
|
||||
@ -75,7 +75,7 @@ class Circle(Shape, metaclass=AutoSlots):
|
||||
self.poly_max_arclen = poly_max_arclen
|
||||
self.set_locked(locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Circle':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Circle':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
@ -127,9 +127,9 @@ class Circle(Shape, metaclass=AutoSlots):
|
||||
def normalized_form(self, norm_value) -> normalized_shape_tuple:
|
||||
rotation = 0.0
|
||||
magnitude = self.radius / norm_value
|
||||
return (type(self), self.layer), \
|
||||
(self.offset, magnitude, rotation, False, self.dose), \
|
||||
lambda: Circle(radius=norm_value, layer=self.layer)
|
||||
return ((type(self), self.layer),
|
||||
(self.offset, magnitude, rotation, False, self.dose),
|
||||
lambda: Circle(radius=norm_value, layer=self.layer))
|
||||
|
||||
def __repr__(self) -> str:
|
||||
dose = f' d{self.dose:g}' if self.dose != 1 else ''
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
from typing import List, Tuple, Dict, Sequence, Optional
|
||||
from typing import List, Dict, Sequence, Optional
|
||||
import copy
|
||||
import math
|
||||
|
||||
@ -125,7 +125,7 @@ class Ellipse(Shape, metaclass=AutoSlots):
|
||||
self.poly_max_arclen = poly_max_arclen
|
||||
self.set_locked(locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Ellipse':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Ellipse':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
@ -198,9 +198,9 @@ class Ellipse(Shape, metaclass=AutoSlots):
|
||||
radii = self.radii[::-1] / self.radius_y
|
||||
scale = self.radius_y
|
||||
angle = (self.rotation + pi / 2) % pi
|
||||
return (type(self), radii, self.layer), \
|
||||
(self.offset, scale/norm_value, angle, False, self.dose), \
|
||||
lambda: Ellipse(radii=radii*norm_value, layer=self.layer)
|
||||
return ((type(self), radii, self.layer),
|
||||
(self.offset, scale / norm_value, angle, False, self.dose),
|
||||
lambda: Ellipse(radii=radii * norm_value, layer=self.layer))
|
||||
|
||||
def lock(self) -> 'Ellipse':
|
||||
self.radii.flags.writeable = False
|
||||
|
||||
@ -18,7 +18,7 @@ class PathCap(Enum):
|
||||
Circle = 1 # Path extends past final vertices with a semicircle of radius width/2
|
||||
Square = 2 # Path extends past final vertices with a width-by-width/2 rectangle
|
||||
SquareCustom = 4 # Path extends past final vertices with a rectangle of length
|
||||
# defined by path.cap_extensions
|
||||
# # defined by path.cap_extensions
|
||||
|
||||
|
||||
class Path(Shape, metaclass=AutoSlots):
|
||||
@ -103,7 +103,7 @@ class Path(Shape, metaclass=AutoSlots):
|
||||
|
||||
@vertices.setter
|
||||
def vertices(self, val: numpy.ndarray):
|
||||
val = numpy.array(val, dtype=float) #TODO document that these might not be copied
|
||||
val = numpy.array(val, dtype=float) # TODO document that these might not be copied
|
||||
if len(val.shape) < 2 or val.shape[1] != 2:
|
||||
raise PatternError('Vertices must be an Nx2 array')
|
||||
if val.shape[0] < 2:
|
||||
@ -184,7 +184,7 @@ class Path(Shape, metaclass=AutoSlots):
|
||||
[self.mirror(a) for a, do in enumerate(mirrored) if do]
|
||||
self.set_locked(locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Path':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Path':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
@ -199,7 +199,7 @@ class Path(Shape, metaclass=AutoSlots):
|
||||
def travel(travel_pairs: Tuple[Tuple[float, float]],
|
||||
width: float = 0.0,
|
||||
cap: PathCap = PathCap.Flush,
|
||||
cap_extensions = None,
|
||||
cap_extensions: Optional[Tuple[float, float]] = None,
|
||||
offset: vector2 = (0.0, 0.0),
|
||||
rotation: float = 0,
|
||||
mirrored: Sequence[bool] = (False, False),
|
||||
@ -275,9 +275,9 @@ class Path(Shape, metaclass=AutoSlots):
|
||||
intersection_p = v[:-2] + rp * dv[:-1] + perp[:-1]
|
||||
intersection_n = v[:-2] + rn * dv[:-1] - perp[:-1]
|
||||
|
||||
towards_perp = (dv[1:] * perp[:-1]).sum(axis=1) > 0 # path bends towards previous perp?
|
||||
# straight = (dv[1:] * perp[:-1]).sum(axis=1) == 0 # path is straight
|
||||
acute = (dv[1:] * dv[:-1]).sum(axis=1) < 0 # angle is acute?
|
||||
towards_perp = (dv[1:] * perp[:-1]).sum(axis=1) > 0 # path bends towards previous perp?
|
||||
# straight = (dv[1:] * perp[:-1]).sum(axis=1) == 0 # path is straight
|
||||
acute = (dv[1:] * dv[:-1]).sum(axis=1) < 0 # angle is acute?
|
||||
|
||||
# Build vertices
|
||||
o0 = [v[0] + perp[0]]
|
||||
@ -370,10 +370,10 @@ class Path(Shape, metaclass=AutoSlots):
|
||||
|
||||
width0 = self.width / norm_value
|
||||
|
||||
return (type(self), reordered_vertices.data.tobytes(), width0, self.cap, self.layer), \
|
||||
(offset, scale/norm_value, rotation, False, self.dose), \
|
||||
lambda: Path(reordered_vertices*norm_value, width=self.width*norm_value,
|
||||
cap=self.cap, layer=self.layer)
|
||||
return ((type(self), reordered_vertices.data.tobytes(), width0, self.cap, self.layer),
|
||||
(offset, scale / norm_value, rotation, False, self.dose),
|
||||
lambda: Path(reordered_vertices * norm_value, width=self.width * norm_value,
|
||||
cap=self.cap, layer=self.layer))
|
||||
|
||||
def clean_vertices(self) -> 'Path':
|
||||
"""
|
||||
@ -409,7 +409,7 @@ class Path(Shape, metaclass=AutoSlots):
|
||||
if self.cap == PathCap.Square:
|
||||
extensions = numpy.full(2, self.width / 2)
|
||||
elif self.cap == PathCap.SquareCustom:
|
||||
extensions = self.cap_extensions
|
||||
extensions = self.cap_extensions
|
||||
else:
|
||||
# Flush or Circle
|
||||
extensions = numpy.zeros(2)
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
from typing import List, Tuple, Dict, Optional, Sequence
|
||||
from typing import List, Dict, Optional, Sequence
|
||||
import copy
|
||||
|
||||
import numpy # type: ignore
|
||||
@ -34,7 +34,7 @@ class Polygon(Shape, metaclass=AutoSlots):
|
||||
|
||||
@vertices.setter
|
||||
def vertices(self, val: numpy.ndarray):
|
||||
val = numpy.array(val, dtype=float) #TODO document that these might not be copied
|
||||
val = numpy.array(val, dtype=float) # TODO document that these might not be copied
|
||||
if len(val.shape) < 2 or val.shape[1] != 2:
|
||||
raise PatternError('Vertices must be an Nx2 array')
|
||||
if val.shape[0] < 3:
|
||||
@ -104,7 +104,7 @@ class Polygon(Shape, metaclass=AutoSlots):
|
||||
[self.mirror(a) for a, do in enumerate(mirrored) if do]
|
||||
self.set_locked(locked)
|
||||
|
||||
def __deepcopy__(self, memo: Optional[Dict] = None) -> 'Polygon':
|
||||
def __deepcopy__(self, memo: Optional[Dict] = None) -> 'Polygon':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
@ -269,7 +269,6 @@ class Polygon(Shape, metaclass=AutoSlots):
|
||||
layer=layer, dose=dose)
|
||||
return poly
|
||||
|
||||
|
||||
def to_polygons(self,
|
||||
poly_num_points: int = None, # unused
|
||||
poly_max_arclen: float = None, # unused
|
||||
@ -316,9 +315,9 @@ class Polygon(Shape, metaclass=AutoSlots):
|
||||
|
||||
# TODO: normalize mirroring?
|
||||
|
||||
return (type(self), reordered_vertices.data.tobytes(), self.layer), \
|
||||
(offset, scale/norm_value, rotation, False, self.dose), \
|
||||
lambda: Polygon(reordered_vertices*norm_value, layer=self.layer)
|
||||
return ((type(self), reordered_vertices.data.tobytes(), self.layer),
|
||||
(offset, scale / norm_value, rotation, False, self.dose),
|
||||
lambda: Polygon(reordered_vertices * norm_value, layer=self.layer))
|
||||
|
||||
def clean_vertices(self) -> 'Polygon':
|
||||
"""
|
||||
|
||||
@ -1,11 +1,8 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional, TYPE_CHECKING
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
import numpy # type: ignore
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..utils import rotation_matrix_2d, vector2, layer_t
|
||||
from ..traits import (PositionableImpl, LayerableImpl, DoseableImpl,
|
||||
Rotatable, Mirrorable, Copyable, Scalable,
|
||||
PivotableImpl, LockableImpl, RepeatableImpl,
|
||||
@ -142,7 +139,6 @@ class Shape(PositionableImpl, LayerableImpl, DoseableImpl, Rotatable, Mirrorable
|
||||
if err_xmax >= 0.5:
|
||||
gxi_max += 1
|
||||
|
||||
|
||||
if abs(dv[0]) < 1e-20:
|
||||
# Vertical line, don't calculate slope
|
||||
xi = [gxi_min, gxi_max - 1]
|
||||
@ -155,8 +151,9 @@ class Shape(PositionableImpl, LayerableImpl, DoseableImpl, Rotatable, Mirrorable
|
||||
vertex_lists.append(segment)
|
||||
continue
|
||||
|
||||
m = dv[1]/dv[0]
|
||||
def get_grid_inds(xes):
|
||||
m = dv[1] / dv[0]
|
||||
|
||||
def get_grid_inds(xes: numpy.ndarray) -> numpy.ndarray:
|
||||
ys = m * (xes - v[0]) + v[1]
|
||||
|
||||
# (inds - 1) is the index of the y-grid line below the edge's intersection with the x-grid
|
||||
@ -178,7 +175,7 @@ class Shape(PositionableImpl, LayerableImpl, DoseableImpl, Rotatable, Mirrorable
|
||||
xs2 = (xs[:-1] + xs[1:]) / 2
|
||||
inds2 = get_grid_inds(xs2)
|
||||
|
||||
xinds = numpy.round(numpy.arange(gxi_min, gxi_max - 0.99, 1/3)).astype(int)
|
||||
xinds = numpy.round(numpy.arange(gxi_min, gxi_max - 0.99, 1 / 3)).astype(int)
|
||||
|
||||
# interleave the results
|
||||
yinds = xinds.copy()
|
||||
@ -202,7 +199,6 @@ class Shape(PositionableImpl, LayerableImpl, DoseableImpl, Rotatable, Mirrorable
|
||||
|
||||
return manhattan_polygons
|
||||
|
||||
|
||||
def manhattanize(self,
|
||||
grid_x: numpy.ndarray,
|
||||
grid_y: numpy.ndarray
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
from typing import List, Tuple, Dict, Sequence, Optional, MutableSequence
|
||||
from typing import List, Tuple, Dict, Sequence, Optional
|
||||
import copy
|
||||
|
||||
import numpy # type: ignore
|
||||
@ -26,7 +26,7 @@ class Text(RotatableImpl, Shape, metaclass=AutoSlots):
|
||||
|
||||
_string: str
|
||||
_height: float
|
||||
_mirrored: numpy.ndarray #ndarray[bool]
|
||||
_mirrored: numpy.ndarray # ndarray[bool]
|
||||
font_path: str
|
||||
|
||||
# vertices property
|
||||
@ -51,7 +51,7 @@ class Text(RotatableImpl, Shape, metaclass=AutoSlots):
|
||||
|
||||
# Mirrored property
|
||||
@property
|
||||
def mirrored(self) -> numpy.ndarray: #ndarray[bool]
|
||||
def mirrored(self) -> numpy.ndarray: # ndarray[bool]
|
||||
return self._mirrored
|
||||
|
||||
@mirrored.setter
|
||||
@ -100,7 +100,7 @@ class Text(RotatableImpl, Shape, metaclass=AutoSlots):
|
||||
self.font_path = font_path
|
||||
self.set_locked(locked)
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Text':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'Text':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new._offset = self._offset.copy()
|
||||
@ -144,14 +144,14 @@ class Text(RotatableImpl, Shape, metaclass=AutoSlots):
|
||||
mirror_x, rotation = normalize_mirror(self.mirrored)
|
||||
rotation += self.rotation
|
||||
rotation %= 2 * pi
|
||||
return (type(self), self.string, self.font_path, self.layer), \
|
||||
(self.offset, self.height / norm_value, rotation, mirror_x, self.dose), \
|
||||
lambda: Text(string=self.string,
|
||||
height=self.height * norm_value,
|
||||
font_path=self.font_path,
|
||||
rotation=rotation,
|
||||
mirrored=(mirror_x, False),
|
||||
layer=self.layer)
|
||||
return ((type(self), self.string, self.font_path, self.layer),
|
||||
(self.offset, self.height / norm_value, rotation, mirror_x, self.dose),
|
||||
lambda: Text(string=self.string,
|
||||
height=self.height * norm_value,
|
||||
font_path=self.font_path,
|
||||
rotation=rotation,
|
||||
mirrored=(mirror_x, False),
|
||||
layer=self.layer))
|
||||
|
||||
def get_bounds(self) -> numpy.ndarray:
|
||||
# rotation makes this a huge pain when using slot.advance and glyph.bbox(), so
|
||||
@ -168,7 +168,7 @@ class Text(RotatableImpl, Shape, metaclass=AutoSlots):
|
||||
|
||||
def get_char_as_polygons(font_path: str,
|
||||
char: str,
|
||||
resolution: float = 48*64,
|
||||
resolution: float = 48 * 64,
|
||||
) -> Tuple[List[List[List[float]]], float]:
|
||||
from freetype import Face # type: ignore
|
||||
from matplotlib.path import Path # type: ignore
|
||||
|
||||
@ -4,14 +4,14 @@
|
||||
"""
|
||||
#TODO more top-level documentation
|
||||
|
||||
from typing import Union, List, Dict, Tuple, Optional, Sequence, TYPE_CHECKING, Any
|
||||
from typing import Dict, Tuple, Optional, Sequence, TYPE_CHECKING, Any
|
||||
import copy
|
||||
|
||||
import numpy # type: ignore
|
||||
from numpy import pi
|
||||
|
||||
from .error import PatternError, PatternLockedError
|
||||
from .utils import is_scalar, rotation_matrix_2d, vector2, AutoSlots, annotations_t
|
||||
from .error import PatternError
|
||||
from .utils import is_scalar, vector2, AutoSlots, annotations_t
|
||||
from .repetition import Repetition
|
||||
from .traits import (PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl,
|
||||
Mirrorable, PivotableImpl, Copyable, LockableImpl, RepeatableImpl,
|
||||
@ -82,7 +82,7 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
|
||||
self.annotations = annotations if annotations is not None else {}
|
||||
self.set_locked(locked)
|
||||
|
||||
def __copy__(self) -> 'SubPattern':
|
||||
def __copy__(self) -> 'SubPattern':
|
||||
new = SubPattern(pattern=self.pattern,
|
||||
offset=self.offset.copy(),
|
||||
rotation=self.rotation,
|
||||
@ -94,7 +94,7 @@ class SubPattern(PositionableImpl, DoseableImpl, RotatableImpl, ScalableImpl, Mi
|
||||
locked=self.locked)
|
||||
return new
|
||||
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'SubPattern':
|
||||
def __deepcopy__(self, memo: Dict = None) -> 'SubPattern':
|
||||
memo = {} if memo is None else memo
|
||||
new = copy.copy(self).unlock()
|
||||
new.pattern = copy.deepcopy(self.pattern, memo)
|
||||
|
||||
@ -1,7 +1,6 @@
|
||||
from typing import TypeVar
|
||||
from types import MappingProxyType
|
||||
#from types import MappingProxyType
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..utils import annotations_t
|
||||
from ..error import PatternError
|
||||
@ -44,10 +43,10 @@ class AnnotatableImpl(Annotatable, metaclass=ABCMeta):
|
||||
'''
|
||||
@property
|
||||
def annotations(self) -> annotations_t:
|
||||
return self._annotations
|
||||
# # TODO: Find a way to make sure the subclass implements Lockable without dealing with diamond inheritance or this extra hasattr
|
||||
# if hasattr(self, 'is_locked') and self.is_locked():
|
||||
# return MappingProxyType(self._annotations)
|
||||
return self._annotations
|
||||
|
||||
@annotations.setter
|
||||
def annotations(self, annotations: annotations_t):
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from abc import ABCMeta, abstractmethod
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta
|
||||
import copy
|
||||
|
||||
|
||||
|
||||
@ -1,9 +1,7 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..utils import is_scalar
|
||||
from ..error import PatternError
|
||||
|
||||
|
||||
T = TypeVar('T', bound='Doseable')
|
||||
@ -70,7 +68,6 @@ class DoseableImpl(Doseable, metaclass=ABCMeta):
|
||||
raise PatternError('Dose must be non-negative')
|
||||
self._dose = val
|
||||
|
||||
|
||||
'''
|
||||
---- Non-abstract methods
|
||||
'''
|
||||
|
||||
@ -1,8 +1,6 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..utils import layer_t
|
||||
|
||||
|
||||
|
||||
@ -1,8 +1,7 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..error import PatternLockedError
|
||||
|
||||
|
||||
T = TypeVar('T', bound='Lockable')
|
||||
|
||||
@ -1,8 +1,5 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
|
||||
|
||||
T = TypeVar('T', bound='Mirrorable')
|
||||
|
||||
@ -1,12 +1,11 @@
|
||||
# TODO top-level comment about how traits should set __slots__ = (), and how to use AutoSlots
|
||||
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
import numpy # type: ignore
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..utils import is_scalar, rotation_matrix_2d, vector2
|
||||
from ..error import PatternError
|
||||
from ..utils import vector2
|
||||
|
||||
|
||||
T = TypeVar('T', bound='Positionable')
|
||||
@ -101,7 +100,6 @@ class PositionableImpl(Positionable, metaclass=ABCMeta):
|
||||
raise PatternError('Offset must be convertible to size-2 ndarray')
|
||||
self._offset = val.flatten()
|
||||
|
||||
|
||||
'''
|
||||
---- Methods
|
||||
'''
|
||||
|
||||
@ -1,8 +1,7 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional, TYPE_CHECKING
|
||||
from typing import TypeVar, Optional, TYPE_CHECKING
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..error import PatternError
|
||||
|
||||
|
||||
if TYPE_CHECKING:
|
||||
|
||||
@ -1,12 +1,11 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
import numpy # type: ignore
|
||||
from numpy import pi
|
||||
|
||||
from .positionable import Positionable
|
||||
from ..error import PatternError, PatternLockedError
|
||||
#from .positionable import Positionable
|
||||
from ..error import PatternError
|
||||
from ..utils import is_scalar, rotation_matrix_2d, vector2
|
||||
|
||||
T = TypeVar('T', bound='Rotatable')
|
||||
|
||||
@ -1,8 +1,7 @@
|
||||
from typing import List, Tuple, Callable, TypeVar, Optional
|
||||
from typing import TypeVar
|
||||
from abc import ABCMeta, abstractmethod
|
||||
import copy
|
||||
|
||||
from ..error import PatternError, PatternLockedError
|
||||
from ..error import PatternError
|
||||
from ..utils import is_scalar
|
||||
|
||||
|
||||
|
||||
@ -84,7 +84,7 @@ def normalize_mirror(mirrored: Sequence[bool]) -> Tuple[bool, float]:
|
||||
"""
|
||||
|
||||
mirrored_x, mirrored_y = mirrored
|
||||
mirror_x = (mirrored_x != mirrored_y) #XOR
|
||||
mirror_x = (mirrored_x != mirrored_y) # XOR
|
||||
angle = numpy.pi if mirrored_y else 0
|
||||
return mirror_x, angle
|
||||
|
||||
@ -124,8 +124,8 @@ def remove_colinear_vertices(vertices: numpy.ndarray, closed_path: bool = True)
|
||||
|
||||
# Check for dx0/dy0 == dx1/dy1
|
||||
|
||||
dv = numpy.roll(vertices, -1, axis=0) - vertices # [y1-y0, y2-y1, ...]
|
||||
dxdy = dv * numpy.roll(dv, 1, axis=0)[:, ::-1] #[[dx0*(dy_-1), (dx_-1)*dy0], dx1*dy0, dy1*dy0]]
|
||||
dv = numpy.roll(vertices, -1, axis=0) - vertices # [y1-y0, y2-y1, ...]
|
||||
dxdy = dv * numpy.roll(dv, 1, axis=0)[:, ::-1] # [[dx0*(dy_-1), (dx_-1)*dy0], dx1*dy0, dy1*dy0]]
|
||||
|
||||
dxdy_diff = numpy.abs(numpy.diff(dxdy, axis=1))[:, 0]
|
||||
err_mult = 2 * numpy.abs(dxdy).sum(axis=1) + 1e-40
|
||||
|
||||
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Reference in New Issue
Block a user