[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:
Andrew Symington
2023-02-24 13:03:08 -08:00
committed by GitHub
parent 3966b71ad6
commit 1e544f132e
14 changed files with 110 additions and 105 deletions
+28 -28
View File
@@ -1,8 +1,8 @@
#! /usr/bin/env python
from dynamic_reconfigure.parameter_generator_catkin import int_t
from dynamic_reconfigure.parameter_generator_catkin import double_t
from dynamic_reconfigure.parameter_generator_catkin import bool_t
from dynamic_reconfigure.parameter_generator_catkin import double_t
from dynamic_reconfigure.parameter_generator_catkin import int_t
from dynamic_reconfigure.parameter_generator_catkin import str_t
# set up parameters that we care about
@@ -11,37 +11,37 @@ PACKAGE = 'pcl_ros'
def add_common_parameters(gen):
# add(self, name, paramtype, level, description, default = None, min = None,
# max = None, edit_method = "")
gen.add("max_iterations", int_t, 0,
"The maximum number of iterations the algorithm will run for",
# max = None, edit_method = '')
gen.add('max_iterations', int_t, 0,
'The maximum number of iterations the algorithm will run for',
50, 0, 100000)
gen.add("probability", double_t, 0,
"The desired probability of choosing at least one sample free from outliers",
gen.add('probability', double_t, 0,
'The desired probability of choosing at least one sample free from outliers',
0.99, 0.5, 0.99)
gen.add("distance_threshold", double_t, 0,
"The distance to model threshold",
gen.add('distance_threshold', double_t, 0,
'The distance to model threshold',
0.02, 0, 1.0)
gen.add("optimize_coefficients", bool_t, 0,
"Model coefficient refinement",
gen.add('optimize_coefficients', bool_t, 0,
'Model coefficient refinement',
True)
gen.add("radius_min", double_t, 0,
"The minimum allowed model radius (where applicable)",
gen.add('radius_min', double_t, 0,
'The minimum allowed model radius (where applicable)',
0.0, 0, 1.0)
gen.add("radius_max", double_t, 0,
"The maximum allowed model radius (where applicable)",
gen.add('radius_max', double_t, 0,
'The maximum allowed model radius (where applicable)',
0.05, 0, 1.0)
gen.add("eps_angle", double_t, 0,
("The maximum allowed difference between the model normal "
"and the given axis in radians."),
gen.add('eps_angle', double_t, 0,
('The maximum allowed difference between the model normal '
'and the given axis in radians.'),
0.17, 0.0, 1.5707)
gen.add("min_inliers", int_t, 0,
"The minimum number of inliers a model must have in order to be considered valid.",
gen.add('min_inliers', int_t, 0,
'The minimum number of inliers a model must have in order to be considered valid.',
0, 0, 100000)
gen.add("input_frame", str_t, 0,
("The input TF frame the data should be transformed into, "
"if input.header.frame_id is different."),
"")
gen.add("output_frame", str_t, 0,
("The output TF frame the data should be transformed into, "
"if input.header.frame_id is different."),
"")
gen.add('input_frame', str_t, 0,
('The input TF frame the data should be transformed into, '
'if input.header.frame_id is different.'),
'')
gen.add('output_frame', str_t, 0,
('The output TF frame the data should be transformed into, '
'if input.header.frame_id is different.'),
'')
+22 -22
View File
@@ -1,8 +1,8 @@
#! /usr/bin/env python
from dynamic_reconfigure.parameter_generator_catkin import str_t
from dynamic_reconfigure.parameter_generator_catkin import double_t
from dynamic_reconfigure.parameter_generator_catkin import bool_t
from dynamic_reconfigure.parameter_generator_catkin import double_t
from dynamic_reconfigure.parameter_generator_catkin import str_t
# set up parameters that we care about
PACKAGE = 'pcl_ros'
@@ -10,27 +10,27 @@ PACKAGE = 'pcl_ros'
def add_common_parameters(gen):
# def add (self, name, paramtype, level, description, default = None, min = None,
# max = None, edit_method = ""):
gen.add("filter_field_name", str_t, 0, "The field name used for filtering", "z")
gen.add("filter_limit_min", double_t, 0,
"The minimum allowed field value a point will be considered from",
# max = None, edit_method = ''):
gen.add('filter_field_name', str_t, 0, 'The field name used for filtering', 'z')
gen.add('filter_limit_min', double_t, 0,
'The minimum allowed field value a point will be considered from',
0.0, -100000.0, 100000.0)
gen.add("filter_limit_max", double_t, 0,
"The maximum allowed field value a point will be considered from",
gen.add('filter_limit_max', double_t, 0,
'The maximum allowed field value a point will be considered from',
1.0, -100000.0, 100000.0)
gen.add("filter_limit_negative", bool_t, 0,
("Set to true if we want to return the data outside "
"[filter_limit_min; filter_limit_max]."),
gen.add('filter_limit_negative', bool_t, 0,
('Set to true if we want to return the data outside '
'[filter_limit_min; filter_limit_max].'),
False)
gen.add("keep_organized", bool_t, 0,
("Set whether the filtered points should be kept and set to NaN, "
"or removed from the PointCloud, thus potentially breaking its organized structure."),
gen.add('keep_organized', bool_t, 0,
('Set whether the filtered points should be kept and set to NaN, '
'or removed from the PointCloud, thus potentially breaking its organized structure.'),
False)
gen.add("input_frame", str_t, 0,
("The input TF frame the data should be transformed into before processing, "
"if input.header.frame_id is different."),
"")
gen.add("output_frame", str_t, 0,
("The output TF frame the data should be transformed into after processing, "
"if input.header.frame_id is different."),
"")
gen.add('input_frame', str_t, 0,
('The input TF frame the data should be transformed into before processing, '
'if input.header.frame_id is different.'),
'')
gen.add('output_frame', str_t, 0,
('The output TF frame the data should be transformed into after processing, '
'if input.header.frame_id is different.'),
'')