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Merge pull request #1 from mikedh/master
travis builds using cibuildwheel for Linux wheels
2 parents edf68c0 + d563685 commit 54985de

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.travis.yml

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env:
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global:
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- CIBW_BEFORE_BUILD="yum install -y gcc && pip install numpy cython && cd requirements && bash install_cmake.bash && bash clone.bash && bash build.bash"
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- CIBW_TEST_REQUIRES="nose2"
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- CIBW_TEST_COMMAND="cd {project}/test && nose2"
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- CIBW_SKIP="cp33-* cp34-*"
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matrix:
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include:
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- dist: trusty
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sudo: required
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language: python
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python: "3.6"
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services:
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- docker
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install:
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# Python 3 is needed to run cibuildwheel
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- if [ "${TRAVIS_OS_NAME:-}" == "osx" ]; then
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brew install python3;
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fi
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# Install cibuildwheel using pip3 to make sure Python 3 is used.
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- pip3 install cibuildwheel==0.6.0
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script:
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- cibuildwheel --output-dir wheelhouse

README.md

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## FCL-Python -- Python Interface for the Flexible Collision Library
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## python-fcl
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### Python Interface for the Flexible Collision Library
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FCL-Python is an (unofficial) Python interface for the [Flexible Collision Library (FCL)](https://github.com/flexible-collision-library/fcl),
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Python-FCL is an (unofficial) Python interface for the [Flexible Collision Library (FCL)](https://github.com/flexible-collision-library/fcl),
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an excellent C++ library for performing proximity and collision queries on pairs of geometric models.
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Currently, this package is targeted for FCL 0.5.0.
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fcl/__init__.py

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from .fcl import CollisionObject, CollisionGeometry, Transform, TriangleP, Box, Sphere, Ellipsoid, Capsule, Cone, Cylinder, Halfspace, Plane, BVHModel, DynamicAABBTreeCollisionManager, collide, continuousCollide, distance, defaultCollisionCallback, defaultDistanceCallback
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from .collision_data import OBJECT_TYPE, NODE_TYPE, CCDMotionType, CCDSolverType, GJKSolverType, Contact, CostSource, CollisionRequest, CollisionResult, ContinuousCollisionRequest, ContinuousCollisionResult, DistanceRequest, DistanceResult, CollisionData, DistanceData
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from .version import __version__

fcl/version.py

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__version__ = '0.0.4'

requirements/Dockerfile

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# NOTE: this docker file is only for local testing of the build
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# it should be copied or symlinked up one directory as docker
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# can't go into parent directories
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# example of testing a build locally:
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# ln -sf requirements/Dockerfile .
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# docker build . -t pythonfcl
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FROM quay.io/pypa/manylinux1_x86_64:latest
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RUN yum install -y gcc
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# install cmake 2.8.12
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COPY requirements/install_cmake.bash .
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RUN bash install_cmake.bash
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# clone FCL and libccd
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# the exact checkouts are in clone.bash
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COPY requirements/clone.bash .
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RUN bash clone.bash
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# build and install libccd and fcl using cmake
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COPY requirements/build.bash .
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RUN bash build.bash
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# manylinux includes a bunch of pythons
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# to test with others change this env variable
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#ENV PATH=/opt/python/cp27-cp27m/bin:$PATH
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ENV PATH=/opt/python/cp36-cp36m/bin:$PATH
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# we need numpy to build python-fcl
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# since we set our path we'll be using the right pip
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RUN pip install numpy cython
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# build the python-fcl module
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COPY . /python_fcl
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RUN cd /python_fcl && python setup.py build_ext

requirements/build.bash

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cd libccd
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cmake .
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make -j4
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make install
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cd ..
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cd fcl
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cmake .
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make -j4
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make install
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cd ..

requirements/clone.bash

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rm -rf libccd
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git clone https://github.com/danfis/libccd.git
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cd libccd
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git pull
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git checkout 64f02f741ac94fccd0fb660a5bffcbe6d01d9939
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cd ..
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rm -rf fcl
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git clone https://github.com/flexible-collision-library/fcl.git
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cd fcl
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git pull
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git checkout 22f375f333beccc10c527974cef96784f0841649
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cd ..
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# get eigen
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#curl -OL https://github.com/RLovelett/eigen/archive/3.3.4.tar.gz
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#tar -zxvf 3.3.4.tar.gz

requirements/install_cmake.bash

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# install cmake using their shell script
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# we do this because fcl needs cmake 2.8.12, but centos 5
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# from the manylinux image has only cmake 2.8.11
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curl -OL https://cmake.org/files/v2.8/cmake-2.8.12.2-Linux-i386.sh
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bash cmake-2.8.12.2-Linux-i386.sh --skip-license --prefix=/usr

setup.py

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import os
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import sys
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import inspect
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from setuptools import Extension, setup
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version = '0.0.1'
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# get current directory of file in case someone
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# called setup.py from elsewhere
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cwd = os.path.dirname(os.path.abspath(
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inspect.getfile(inspect.currentframe())))
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# load __version__
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exec(open(os.path.join(cwd,
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'fcl/version.py'), 'r').read())
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platform_supported = False
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for prefix in ['darwin', 'linux', 'bsd']:
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if prefix in sys.platform:
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platform_supported = True
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include_dirs = [
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'/usr/include',
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'/usr/local/include',
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]
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lib_dirs = [
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'/usr/lib',
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'/usr/local/lib',
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]
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include_dirs = ['/usr/include',
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'/usr/local/include',
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'/usr/include/eigen3']
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lib_dirs = ['/usr/lib',
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'/usr/local/lib']
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if 'CPATH' in os.environ:
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include_dirs += os.environ['CPATH'].split(':')
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if 'LD_LIBRARY_PATH' in os.environ:
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lib_dirs += os.environ['LD_LIBRARY_PATH'].split(':')
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try:
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# get the numpy include path from numpy
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import numpy
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include_dirs.append(numpy.get_include())
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except:
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pass
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break
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if sys.platform == "win32":
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setup(
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name='python-fcl',
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version=version,
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version=__version__,
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description='Python bindings for the Flexible Collision Library',
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long_description='Python bindings for the Flexible Collision Library',
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url='https://github.com/BerkeleyAutomation/python-fcl',

test/test_fcl.py

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import unittest
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import fcl
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import sys
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import numpy as np
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class TestFCL(unittest.TestCase):
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result = fcl.ContinuousCollisionResult()
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box = fcl.CollisionObject(self.geometry['box'])
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cone = fcl.CollisionObject(self.geometry['cone'], fcl.Transform(np.array([0.0, 0.0, -2.0])))
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cone = fcl.CollisionObject(self.geometry['cone'],
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fcl.Transform(np.array([0.0, 0.0, -2.0])))
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ret = fcl.continuousCollide(box, fcl.Transform(),
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cone, fcl.Transform(),
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request, result)
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'''
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## WHY DOES THIS FAIL ##
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self.assertTrue(result.is_collide)
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self.assertAlmostEqual(0.625, ret)
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'''
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def test_managed_collisions(self):
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manager1 = fcl.DynamicAABBTreeCollisionManager()
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self.assertTrue(len(manager2.getObjects()) == 2)
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self.assertTrue(len(manager3.getObjects()) == 2)
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# One-to-many
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o1 = fcl.CollisionObject(self.geometry['box'])
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o2 = fcl.CollisionObject(self.geometry['cylinder'], fcl.Transform(np.array([0.0, 0.0, -4.6])))
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o2 = fcl.CollisionObject(self.geometry['cylinder'],
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fcl.Transform(np.array([0.0, 0.0, -4.6])))
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cdata = fcl.DistanceData(self.drequest, fcl.DistanceResult())
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manager1.distance(o1, cdata, fcl.defaultDistanceCallback)
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self.assertTrue(cdata.result.min_distance < 0)
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cdata = fcl.DistanceData(self.drequest, fcl.DistanceResult())
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manager1.distance(o2, cdata, fcl.defaultDistanceCallback)
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self.assertAlmostEqual(cdata.result.min_distance, 3.6)
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assert abs(cdata.result.min_distance - 3.6) < 1e-4
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cdata = fcl.DistanceData(self.drequest, fcl.DistanceResult())
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manager2.distance(o1, cdata, fcl.defaultDistanceCallback)
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self.assertAlmostEqual(cdata.result.min_distance, 4.0)

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