[ros2] lint the pcl_ros code base to try and get a green build :) (#406)
* Lint! * Fix flake8 errors * Fix clang-tidy errors * Remove [[maybe_unused]]
This commit is contained in:
@@ -1,8 +1,8 @@
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#! /usr/bin/env python
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from dynamic_reconfigure.parameter_generator_catkin import int_t
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from dynamic_reconfigure.parameter_generator_catkin import double_t
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from dynamic_reconfigure.parameter_generator_catkin import bool_t
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from dynamic_reconfigure.parameter_generator_catkin import double_t
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from dynamic_reconfigure.parameter_generator_catkin import int_t
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from dynamic_reconfigure.parameter_generator_catkin import str_t
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# set up parameters that we care about
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@@ -11,37 +11,37 @@ PACKAGE = 'pcl_ros'
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def add_common_parameters(gen):
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# add(self, name, paramtype, level, description, default = None, min = None,
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# max = None, edit_method = "")
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gen.add("max_iterations", int_t, 0,
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"The maximum number of iterations the algorithm will run for",
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# max = None, edit_method = '')
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gen.add('max_iterations', int_t, 0,
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'The maximum number of iterations the algorithm will run for',
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50, 0, 100000)
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gen.add("probability", double_t, 0,
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"The desired probability of choosing at least one sample free from outliers",
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gen.add('probability', double_t, 0,
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'The desired probability of choosing at least one sample free from outliers',
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0.99, 0.5, 0.99)
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gen.add("distance_threshold", double_t, 0,
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"The distance to model threshold",
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gen.add('distance_threshold', double_t, 0,
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'The distance to model threshold',
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0.02, 0, 1.0)
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gen.add("optimize_coefficients", bool_t, 0,
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"Model coefficient refinement",
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gen.add('optimize_coefficients', bool_t, 0,
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'Model coefficient refinement',
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True)
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gen.add("radius_min", double_t, 0,
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"The minimum allowed model radius (where applicable)",
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gen.add('radius_min', double_t, 0,
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'The minimum allowed model radius (where applicable)',
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0.0, 0, 1.0)
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gen.add("radius_max", double_t, 0,
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"The maximum allowed model radius (where applicable)",
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gen.add('radius_max', double_t, 0,
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'The maximum allowed model radius (where applicable)',
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0.05, 0, 1.0)
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gen.add("eps_angle", double_t, 0,
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("The maximum allowed difference between the model normal "
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"and the given axis in radians."),
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gen.add('eps_angle', double_t, 0,
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('The maximum allowed difference between the model normal '
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'and the given axis in radians.'),
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0.17, 0.0, 1.5707)
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gen.add("min_inliers", int_t, 0,
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"The minimum number of inliers a model must have in order to be considered valid.",
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gen.add('min_inliers', int_t, 0,
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'The minimum number of inliers a model must have in order to be considered valid.',
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0, 0, 100000)
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gen.add("input_frame", str_t, 0,
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("The input TF frame the data should be transformed into, "
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"if input.header.frame_id is different."),
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"")
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gen.add("output_frame", str_t, 0,
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("The output TF frame the data should be transformed into, "
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"if input.header.frame_id is different."),
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"")
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gen.add('input_frame', str_t, 0,
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('The input TF frame the data should be transformed into, '
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'if input.header.frame_id is different.'),
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'')
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gen.add('output_frame', str_t, 0,
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('The output TF frame the data should be transformed into, '
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'if input.header.frame_id is different.'),
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'')
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+22
-22
@@ -1,8 +1,8 @@
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#! /usr/bin/env python
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from dynamic_reconfigure.parameter_generator_catkin import str_t
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from dynamic_reconfigure.parameter_generator_catkin import double_t
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from dynamic_reconfigure.parameter_generator_catkin import bool_t
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from dynamic_reconfigure.parameter_generator_catkin import double_t
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from dynamic_reconfigure.parameter_generator_catkin import str_t
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# set up parameters that we care about
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PACKAGE = 'pcl_ros'
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@@ -10,27 +10,27 @@ PACKAGE = 'pcl_ros'
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def add_common_parameters(gen):
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# def add (self, name, paramtype, level, description, default = None, min = None,
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# max = None, edit_method = ""):
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gen.add("filter_field_name", str_t, 0, "The field name used for filtering", "z")
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gen.add("filter_limit_min", double_t, 0,
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"The minimum allowed field value a point will be considered from",
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# max = None, edit_method = ''):
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gen.add('filter_field_name', str_t, 0, 'The field name used for filtering', 'z')
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gen.add('filter_limit_min', double_t, 0,
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'The minimum allowed field value a point will be considered from',
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0.0, -100000.0, 100000.0)
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gen.add("filter_limit_max", double_t, 0,
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"The maximum allowed field value a point will be considered from",
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gen.add('filter_limit_max', double_t, 0,
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'The maximum allowed field value a point will be considered from',
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1.0, -100000.0, 100000.0)
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gen.add("filter_limit_negative", bool_t, 0,
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("Set to true if we want to return the data outside "
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"[filter_limit_min; filter_limit_max]."),
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gen.add('filter_limit_negative', bool_t, 0,
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('Set to true if we want to return the data outside '
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'[filter_limit_min; filter_limit_max].'),
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False)
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gen.add("keep_organized", bool_t, 0,
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("Set whether the filtered points should be kept and set to NaN, "
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"or removed from the PointCloud, thus potentially breaking its organized structure."),
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gen.add('keep_organized', bool_t, 0,
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('Set whether the filtered points should be kept and set to NaN, '
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'or removed from the PointCloud, thus potentially breaking its organized structure.'),
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False)
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gen.add("input_frame", str_t, 0,
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("The input TF frame the data should be transformed into before processing, "
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"if input.header.frame_id is different."),
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"")
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gen.add("output_frame", str_t, 0,
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("The output TF frame the data should be transformed into after processing, "
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"if input.header.frame_id is different."),
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"")
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gen.add('input_frame', str_t, 0,
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('The input TF frame the data should be transformed into before processing, '
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'if input.header.frame_id is different.'),
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'')
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gen.add('output_frame', str_t, 0,
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('The output TF frame the data should be transformed into after processing, '
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'if input.header.frame_id is different.'),
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'')
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