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Typo-fix by Kunda

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http://www.salome-platform.org/forum/forum_9/22126441
This commit is contained in:
eap 2017-12-28 14:41:31 +03:00
parent a9fe5759c5
commit 14bd7e1d70
25 changed files with 49 additions and 49 deletions
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4
doc/salome/examples/free_boundaries.py
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@ -19,7 +19,7 @@ for fi in range(len(faces)):
fid = geompy.addToStudyInFather(cut, faces[fi], "Face %d" % (fi+1)) fid = geompy.addToStudyInFather(cut, faces[fi], "Face %d" % (fi+1))
isSuccess, closedWires, openWires = geompy.GetFreeBoundary(faces[fi]) isSuccess, closedWires, openWires = geompy.GetFreeBoundary(faces[fi])
if isSuccess: if isSuccess:
print "Check free boudaries in face %d: OK" % (fi+1) print "Check free boundaries in face %d: OK" % (fi+1)
print "-- Nb of closed boundaries = %d" % len(closedWires) print "-- Nb of closed boundaries = %d" % len(closedWires)
for wi in range(len(closedWires)): for wi in range(len(closedWires)):
wid = geompy.addToStudyInFather(faces[fi], closedWires[wi], "Closed wire %d" % (wi+1)) wid = geompy.addToStudyInFather(faces[fi], closedWires[wi], "Closed wire %d" % (wi+1))
@ -30,6 +30,6 @@ for fi in range(len(faces)):
pass pass
pass pass
else: else:
print "Check free boudaries in face %d: KO" % (fi+1) print "Check free boundaries in face %d: KO" % (fi+1)
pass pass
pass pass

6
doc/salome/gui/GEOM/input/check_self_intersections.doc
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@ -45,7 +45,7 @@ This operation allows quickly detecting self-interferences of the given shape us
The algorithm works on the face level, i.e. it computes only face-to-face intersections. No additional intersection types are computed. The algorithm works on the face level, i.e. it computes only face-to-face intersections. No additional intersection types are computed.
This can be useful to detect all intersections between subshapes of type "surface" in an assembly. This can be useful to detect all intersections between subshapes of type "surface" in an assembly.
The result quality will depend on the tesselation quality. However, small deflection values can significantly decrease the performance of the algorithm. The result quality will depend on the tessellation quality. However, small deflection values can significantly decrease the performance of the algorithm.
Nevertheless, the performance of Fast Intersect algorithm is much higher than that of the topological intersection. Nevertheless, the performance of Fast Intersect algorithm is much higher than that of the topological intersection.
\image html measures13.png \image html measures13.png
@ -53,7 +53,7 @@ Nevertheless, the performance of Fast Intersect algorithm is much higher than th
In this dialog: In this dialog:
- \b Object - the checked object. \b Selection button allows picking it in the viewer or in the object browser. - \b Object - the checked object. \b Selection button allows picking it in the viewer or in the object browser.
- <b>Deflection coefficient</b> - a linear deflection coefficient that defines the tesselation quality. If theDeflection <= 0, default deflection 0.001 is used. - <b>Deflection coefficient</b> - a linear deflection coefficient that defines the tessellation quality. If theDeflection <= 0, default deflection 0.001 is used.
- <b>Detect gaps with tolerance</b> specifies the distance between shapes used for detecting gaps: - <b>Detect gaps with tolerance</b> specifies the distance between shapes used for detecting gaps:
- if theTolerance <= 0, the algorithm detects intersections; - if theTolerance <= 0, the algorithm detects intersections;
- if theTolerance > 0, the algorithm detects gapss. - if theTolerance > 0, the algorithm detects gapss.
@ -67,7 +67,7 @@ If no interferences are selected, all of them are published in the study. Each i
\n <b>TUI Command:</b> <em>geompy.CheckSelfIntersectionsFast(theShape, theDeflection, theTolerance),</em> \n \n <b>TUI Command:</b> <em>geompy.CheckSelfIntersectionsFast(theShape, theDeflection, theTolerance),</em> \n
where: \n where: \n
\em theShape is the shape checked for validity. \n \em theShape is the shape checked for validity. \n
\em theDeflection that specifies the quality of tesselation. \em theDeflection that specifies the quality of tessellation.
\em theTolerance Specifies the distance between shapes used for detecting gaps. \em theTolerance Specifies the distance between shapes used for detecting gaps.
See also a \ref tui_check_self_intersections_fast_page "TUI example". See also a \ref tui_check_self_intersections_fast_page "TUI example".

2
doc/salome/gui/GEOM/input/creating_squareface.doc
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@ -15,7 +15,7 @@ of coordinates defining its boundaries by the height and the width and its axis
radio buttons (OXY, OYZ or OZX).This radio buttons (OXY, OYZ or OZX).This
means that the \b Rectangle will lie in "OXY", "OYZ" or "OZX" plane correspondingly. means that the \b Rectangle will lie in "OXY", "OYZ" or "OZX" plane correspondingly.
\n <b>TUI Command:</b> <em>geompy.MakeFaceHW(Height, Width, Orientation)</em> \n <b>TUI Command:</b> <em>geompy.MakeFaceHW(Height, Width, Orientation)</em>
\n <b>Arguments:</b> Name + 3 values (Dimensions at origin: heigth, width and \n <b>Arguments:</b> Name + 3 values (Dimensions at origin: height, width and
orientation). orientation).

2
doc/salome/gui/GEOM/input/fast_intersection.doc
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@ -40,7 +40,7 @@ further analysis (see below).
\note The result quality depends on the quality of triangulation. Changing the value of the deflection coefficient \note The result quality depends on the quality of triangulation. Changing the value of the deflection coefficient
parameter can strongly affect the result. However, small values of the deflection coefficient might lead to parameter can strongly affect the result. However, small values of the deflection coefficient might lead to
some performance loss of the algorithm, as number of triangles of the tesselation mesh depends on this parameter. some performance loss of the algorithm, as number of triangles of the tessellation mesh depends on this parameter.
Press <b>Apply and Close</b> or \b Apply button to store the selected sub-shapes in the study for further analysis. Press <b>Apply and Close</b> or \b Apply button to store the selected sub-shapes in the study for further analysis.
The selection will be published as a compound containing intersected sub-shapes from both source objects. The selection will be published as a compound containing intersected sub-shapes from both source objects.