GitHub-Proxy/Cura
1
0
Fork 0
mirror of https://git.mirrors.martin98.com/https://github.com/Ultimaker/Cura synced 2025-08-15 14:15:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

Shorten excessively long lines

Browse Source 
- Some lines in the files were excessively long, even in the context of the Cura project which seems to prefer a long line length.
These lines could not be read easily even on github .... 
- Removed some unnecessary whitespaces
- Added some extra spaces so that inline comments are separated by at least two spaces from the statement
This commit is contained in:
digitalfrost 2022-07-23 22:35:18 +02:00 committed by GitHub
parent 9488092e5e
commit 776c71e5c9
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 35 additions and 27 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
cura/LayerPolygon.py
View File

@ -24,9 +24,12 @@ class LayerPolygon:
PrimeTowerType = 11 PrimeTowerType = 11
__number_of_types = 12 __number_of_types = 12
__jump_map = numpy.logical_or(numpy.logical_or(numpy.arange(__number_of_types) == NoneType, numpy.arange(__number_of_types) == MoveCombingType), numpy.arange(__number_of_types) == MoveRetractionType) __jump_map = numpy.logical_or(numpy.logical_or(numpy.arange(__number_of_types) == NoneType,
numpy.arange(__number_of_types) == MoveCombingType),
numpy.arange(__number_of_types) == MoveRetractionType)
def __init__(self, extruder: int, line_types: numpy.ndarray, data: numpy.ndarray, line_widths: numpy.ndarray, line_thicknesses: numpy.ndarray, line_feedrates: numpy.ndarray) -> None: def __init__(self, extruder: int, line_types: numpy.ndarray, data: numpy.ndarray,
line_widths: numpy.ndarray, line_thicknesses: numpy.ndarray, line_feedrates: numpy.ndarray) -> None:
"""LayerPolygon, used in ProcessSlicedLayersJob """LayerPolygon, used in ProcessSlicedLayersJob
:param extruder: The position of the extruder :param extruder: The position of the extruder
@ -63,7 +66,9 @@ class LayerPolygon:
self._color_map = LayerPolygon.getColorMap() self._color_map = LayerPolygon.getColorMap()
self._colors = self._color_map[self._types] # type: numpy.ndarray self._colors = self._color_map[self._types] # type: numpy.ndarray
# When type is used as index returns true if type == LayerPolygon.InfillType or type == LayerPolygon.SkinType or type == LayerPolygon.SupportInfillType # When type is used as index returns true if type == LayerPolygon.InfillType
# or type == LayerPolygon.SkinType
# or type == LayerPolygon.SupportInfillType
# Should be generated in better way, not hardcoded. # Should be generated in better way, not hardcoded.
self._is_infill_or_skin_type_map = numpy.array([0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0], dtype=bool) self._is_infill_or_skin_type_map = numpy.array([0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0], dtype=bool)
@ -85,7 +90,9 @@ class LayerPolygon:
self._vertex_begin = 0 self._vertex_begin = 0
self._vertex_end = cast(int, numpy.sum(self._build_cache_needed_points)) self._vertex_end = cast(int, numpy.sum(self._build_cache_needed_points))
def build(self, vertex_offset: int, index_offset: int, vertices: numpy.ndarray, colors: numpy.ndarray, line_dimensions: numpy.ndarray, feedrates: numpy.ndarray, extruders: numpy.ndarray, line_types: numpy.ndarray, indices: numpy.ndarray) -> None: def build(self, vertex_offset: int, index_offset: int, vertices: numpy.ndarray,
colors: numpy.ndarray, line_dimensions: numpy.ndarray, feedrates: numpy.ndarray,
extruders: numpy.ndarray, line_types: numpy.ndarray, indices: numpy.ndarray) -> None:
"""Set all the arrays provided by the function caller, representing the LayerPolygon """Set all the arrays provided by the function caller, representing the LayerPolygon
The arrays are either by vertex or by indices. The arrays are either by vertex or by indices.
@ -138,7 +145,8 @@ class LayerPolygon:
# Convert type per vertex to type per line # Convert type per vertex to type per line
line_types[self._vertex_begin:self._vertex_end] = numpy.tile(self._types, (1, 2)).reshape((-1, 1))[needed_points_list.ravel()][:, 0] line_types[self._vertex_begin:self._vertex_end] = numpy.tile(self._types, (1, 2)).reshape((-1, 1))[needed_points_list.ravel()][:, 0]
# The relative values of begin and end indices have already been set in buildCache, so we only need to offset them to the parents offset. # The relative values of begin and end indices have already been set in buildCache,
# so we only need to offset them to the parents offset.
self._index_begin += index_offset self._index_begin += index_offset
self._index_end += index_offset self._index_end += index_offset