Mock Version: 5.0 Mock Version: 5.0 Mock Version: 5.0 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'], chrootPath='/var/lib/mock/f41-build-815360-149434/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=604800uid=982gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueprintOutput=False) Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'] Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '29f9b2c11bcc49c5bd89ed551573e597', '-D', '/var/lib/mock/f41-build-815360-149434/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;\\007"', '--setenv=PS1= \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False Building target platforms: riscv64 Building for target riscv64 setting SOURCE_DATE_EPOCH=1717804800 Wrote: /builddir/build/SRPMS/python-neurotune-0.2.6-6.fc41.src.rpm Child return code was: 0 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'], chrootPath='/var/lib/mock/f41-build-815360-149434/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=604800uid=982gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueraiseExc=FalseprintOutput=False) Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'] Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '2e289228719844c39934292bea16366e', '-D', '/var/lib/mock/f41-build-815360-149434/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;\\007"', '--setenv=PS1= \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False Building target platforms: riscv64 Building for target riscv64 setting SOURCE_DATE_EPOCH=1717804800 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.2N9u7g + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + test -d /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/rm -rf /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.otH5rN + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + rm -rf neurotune-0.2.6 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/neurotune-0.2.6.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd neurotune-0.2.6 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i '/pip/ d' test.sh + sed -i 's|python|/usr/bin/python3|' test.sh + cp -rv examples/ examples-temp/ 'examples/' -> 'examples-temp/' 'examples/__init__.py' -> 'examples-temp/__init__.py' 'examples/example_1' -> 'examples-temp/example_1' 'examples/example_1/100pA_1.csv' -> 'examples-temp/example_1/100pA_1.csv' 'examples/example_1/100pA_1a.csv' -> 'examples-temp/example_1/100pA_1a.csv' 'examples/example_1/Kv_3_erisir_99.mod' -> 'examples-temp/example_1/Kv_3_erisir_99.mod' 'examples/example_1/__init__.py' -> 'examples-temp/example_1/__init__.py' 'examples/example_1/convert.py' -> 'examples-temp/example_1/convert.py' 'examples/example_1/data_analysis.py' -> 'examples-temp/example_1/data_analysis.py' 'examples/example_1/kv_1.mod' -> 'examples-temp/example_1/kv_1.mod' 'examples/example_1/na.mod' -> 'examples-temp/example_1/na.mod' 'examples/example_1/optimization.py' -> 'examples-temp/example_1/optimization.py' 'examples/example_2' -> 'examples-temp/example_2' 'examples/example_2/100pA_1.csv' -> 'examples-temp/example_2/100pA_1.csv' 'examples/example_2/Kv_3_erisir_99.mod' -> 'examples-temp/example_2/Kv_3_erisir_99.mod' 'examples/example_2/__init__.py' -> 'examples-temp/example_2/__init__.py' 'examples/example_2/analysis.py' -> 'examples-temp/example_2/analysis.py' 'examples/example_2/kv_1.mod' -> 'examples-temp/example_2/kv_1.mod' 'examples/example_2/na.mod' -> 'examples-temp/example_2/na.mod' 'examples/example_2/optimization.py' -> 'examples-temp/example_2/optimization.py' 'examples/example_2/surrogate_vs_candidates.png' -> 'examples-temp/example_2/surrogate_vs_candidates.png' 'examples/example_3' -> 'examples-temp/example_3' 'examples/example_3/README.md' -> 'examples-temp/example_3/README.md' 'examples/example_3/SineWaveController.py' -> 'examples-temp/example_3/SineWaveController.py' 'examples/example_3/SineWaveOptimizer.py' -> 'examples-temp/example_3/SineWaveOptimizer.py' 'examples/example_3/snap.jpg' -> 'examples-temp/example_3/snap.jpg' 'examples/example_4' -> 'examples-temp/example_4' 'examples/example_4/SineWavePointOptimizer.py' -> 'examples-temp/example_4/SineWavePointOptimizer.py' 'examples/example_5' -> 'examples-temp/example_5' 'examples/example_5/SineWaveNetworkController.py' -> 'examples-temp/example_5/SineWaveNetworkController.py' 'examples/example_5/SineWaveNetworkOptimizer.py' -> 'examples-temp/example_5/SineWaveNetworkOptimizer.py' 'examples/notebooks' -> 'examples-temp/notebooks' 'examples/notebooks/Analysis.ipynb' -> 'examples-temp/notebooks/Analysis.ipynb' 'examples/notebooks/README.md' -> 'examples-temp/notebooks/README.md' + sed -i 's|examples|examples-temp|' test.sh + sed -i 's/.*pyelectro.*/pyelectro/' requirements-dev.txt + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.na2Jdw + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + cd neurotune-0.2.6 + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(pip) >= 19' + echo 'python3dist(packaging)' + '[' -f pyproject.toml ']' + '[' -f setup.py ']' + echo 'python3dist(setuptools) >= 40.8' + echo 'python3dist(wheel)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + echo -n + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + TMPDIR=/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir --output /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-buildrequires -r requirements-dev.txt Handling scipy from requirements file requirements-dev.txt Requirement not satisfied: scipy Handling inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred from requirements file requirements-dev.txt WARNING: Simplifying 'inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred' to 'inspyred'. Requirement not satisfied: inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred Handling pyelectro from requirements file requirements-dev.txt Requirement not satisfied: pyelectro Handling NEURON from requirements file requirements-dev.txt Requirement not satisfied: NEURON Exiting dependency generation pass: all requirements files + cat /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-neurotune-0.2.6-6.fc41.buildreqs.nosrc.rpm Child return code was: 11 Dynamic buildrequires detected Going to install missing buildrequires. See root.log for details. ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'], chrootPath='/var/lib/mock/f41-build-815360-149434/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=604800uid=982gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueraiseExc=FalseprintOutput=False) Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'] Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '7817b7a269804185abff0c1559e9ad0f', '-D', '/var/lib/mock/f41-build-815360-149434/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;\\007"', '--setenv=PS1= \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False Building target platforms: riscv64 Building for target riscv64 setting SOURCE_DATE_EPOCH=1717804800 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.6XLfH9 + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + test -d /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/rm -rf /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.RW0tfQ + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + rm -rf neurotune-0.2.6 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/neurotune-0.2.6.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd neurotune-0.2.6 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i '/pip/ d' test.sh + sed -i 's|python|/usr/bin/python3|' test.sh + cp -rv examples/ examples-temp/ 'examples/' -> 'examples-temp/' 'examples/__init__.py' -> 'examples-temp/__init__.py' 'examples/example_1' -> 'examples-temp/example_1' 'examples/example_1/100pA_1.csv' -> 'examples-temp/example_1/100pA_1.csv' 'examples/example_1/100pA_1a.csv' -> 'examples-temp/example_1/100pA_1a.csv' 'examples/example_1/Kv_3_erisir_99.mod' -> 'examples-temp/example_1/Kv_3_erisir_99.mod' 'examples/example_1/__init__.py' -> 'examples-temp/example_1/__init__.py' 'examples/example_1/convert.py' -> 'examples-temp/example_1/convert.py' 'examples/example_1/data_analysis.py' -> 'examples-temp/example_1/data_analysis.py' 'examples/example_1/kv_1.mod' -> 'examples-temp/example_1/kv_1.mod' 'examples/example_1/na.mod' -> 'examples-temp/example_1/na.mod' 'examples/example_1/optimization.py' -> 'examples-temp/example_1/optimization.py' 'examples/example_2' -> 'examples-temp/example_2' 'examples/example_2/100pA_1.csv' -> 'examples-temp/example_2/100pA_1.csv' 'examples/example_2/Kv_3_erisir_99.mod' -> 'examples-temp/example_2/Kv_3_erisir_99.mod' 'examples/example_2/__init__.py' -> 'examples-temp/example_2/__init__.py' 'examples/example_2/analysis.py' -> 'examples-temp/example_2/analysis.py' 'examples/example_2/kv_1.mod' -> 'examples-temp/example_2/kv_1.mod' 'examples/example_2/na.mod' -> 'examples-temp/example_2/na.mod' 'examples/example_2/optimization.py' -> 'examples-temp/example_2/optimization.py' 'examples/example_2/surrogate_vs_candidates.png' -> 'examples-temp/example_2/surrogate_vs_candidates.png' 'examples/example_3' -> 'examples-temp/example_3' 'examples/example_3/README.md' -> 'examples-temp/example_3/README.md' 'examples/example_3/SineWaveController.py' -> 'examples-temp/example_3/SineWaveController.py' 'examples/example_3/SineWaveOptimizer.py' -> 'examples-temp/example_3/SineWaveOptimizer.py' 'examples/example_3/snap.jpg' -> 'examples-temp/example_3/snap.jpg' 'examples/example_4' -> 'examples-temp/example_4' 'examples/example_4/SineWavePointOptimizer.py' -> 'examples-temp/example_4/SineWavePointOptimizer.py' 'examples/example_5' -> 'examples-temp/example_5' 'examples/example_5/SineWaveNetworkController.py' -> 'examples-temp/example_5/SineWaveNetworkController.py' 'examples/example_5/SineWaveNetworkOptimizer.py' -> 'examples-temp/example_5/SineWaveNetworkOptimizer.py' 'examples/notebooks' -> 'examples-temp/notebooks' 'examples/notebooks/Analysis.ipynb' -> 'examples-temp/notebooks/Analysis.ipynb' 'examples/notebooks/README.md' -> 'examples-temp/notebooks/README.md' + sed -i 's|examples|examples-temp|' test.sh + sed -i 's/.*pyelectro.*/pyelectro/' requirements-dev.txt + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.fKqDBb + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + cd neurotune-0.2.6 + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(pip) >= 19' + echo 'python3dist(packaging)' + '[' -f pyproject.toml ']' + '[' -f setup.py ']' + echo 'python3dist(setuptools) >= 40.8' + echo 'python3dist(wheel)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + echo -n + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + TMPDIR=/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir --output /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-buildrequires -r requirements-dev.txt Handling scipy from requirements file requirements-dev.txt Requirement satisfied: scipy (installed: scipy 1.11.3) Handling inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred from requirements file requirements-dev.txt WARNING: Simplifying 'inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred' to 'inspyred'. Requirement satisfied: inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred (installed: inspyred 1.0.2) Handling pyelectro from requirements file requirements-dev.txt Requirement satisfied: pyelectro (installed: pyelectro 0.2.7) Handling NEURON from requirements file requirements-dev.txt Requirement satisfied: NEURON (installed: NEURON 8.2.2) Handling setuptools >= 40.8 from default build backend Requirement satisfied: setuptools >= 40.8 (installed: setuptools 69.2.0) Handling wheel from default build backend Requirement satisfied: wheel (installed: wheel 0.43.0) running egg_info creating neurotune.egg-info writing neurotune.egg-info/PKG-INFO writing dependency_links to neurotune.egg-info/dependency_links.txt writing requirements to neurotune.egg-info/requires.txt writing top-level names to neurotune.egg-info/top_level.txt writing manifest file 'neurotune.egg-info/SOURCES.txt' reading manifest file 'neurotune.egg-info/SOURCES.txt' adding license file 'LICENSE' adding license file 'AUTHORS' writing manifest file 'neurotune.egg-info/SOURCES.txt' Handling wheel from get_requires_for_build_wheel Requirement satisfied: wheel (installed: wheel 0.43.0) running dist_info writing neurotune.egg-info/PKG-INFO writing dependency_links to neurotune.egg-info/dependency_links.txt writing requirements to neurotune.egg-info/requires.txt writing top-level names to neurotune.egg-info/top_level.txt reading manifest file 'neurotune.egg-info/SOURCES.txt' adding license file 'LICENSE' adding license file 'AUTHORS' writing manifest file 'neurotune.egg-info/SOURCES.txt' creating '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/neurotune-0.2.6.dist-info' Handling scipy from hook generated metadata: Requires-Dist (neurotune) Requirement satisfied: scipy (installed: scipy 1.11.3) Handling inspyred from hook generated metadata: Requires-Dist (neurotune) Requirement satisfied: inspyred (installed: inspyred 1.0.2) Handling pyelectro from hook generated metadata: Requires-Dist (neurotune) Requirement satisfied: pyelectro (installed: pyelectro 0.2.7) + cat /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-buildrequires + rm -rfv neurotune-0.2.6.dist-info/ removed 'neurotune-0.2.6.dist-info/top_level.txt' removed 'neurotune-0.2.6.dist-info/LICENSE' removed 'neurotune-0.2.6.dist-info/AUTHORS' removed 'neurotune-0.2.6.dist-info/METADATA' removed directory 'neurotune-0.2.6.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-neurotune-0.2.6-6.fc41.buildreqs.nosrc.rpm Child return code was: 11 Dynamic buildrequires detected Going to install missing buildrequires. See root.log for details. ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -ba --noprep --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'], chrootPath='/var/lib/mock/f41-build-815360-149434/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=604800uid=982gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueprintOutput=False) Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'] Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', 'e774d9ac4faa4dd899c61b7d232a1371', '-D', '/var/lib/mock/f41-build-815360-149434/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;\\007"', '--setenv=PS1= \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -ba --noprep --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False Building target platforms: riscv64 Building for target riscv64 setting SOURCE_DATE_EPOCH=1717804800 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.ion4Rv + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + cd neurotune-0.2.6 + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(pip) >= 19' + echo 'python3dist(packaging)' + '[' -f pyproject.toml ']' + '[' -f setup.py ']' + echo 'python3dist(setuptools) >= 40.8' + echo 'python3dist(wheel)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + echo -n + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + TMPDIR=/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir --output /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-buildrequires -r requirements-dev.txt Handling scipy from requirements file requirements-dev.txt Requirement satisfied: scipy (installed: scipy 1.11.3) Handling inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred from requirements file requirements-dev.txt WARNING: Simplifying 'inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred' to 'inspyred'. Requirement satisfied: inspyred@git+https://github.com/aarongarrett/inspyred.git@master#egg=inspyred (installed: inspyred 1.0.2) Handling pyelectro from requirements file requirements-dev.txt Requirement satisfied: pyelectro (installed: pyelectro 0.2.7) Handling NEURON from requirements file requirements-dev.txt Requirement satisfied: NEURON (installed: NEURON 8.2.2) Handling setuptools >= 40.8 from default build backend Requirement satisfied: setuptools >= 40.8 (installed: setuptools 69.2.0) Handling wheel from default build backend Requirement satisfied: wheel (installed: wheel 0.43.0) running egg_info writing neurotune.egg-info/PKG-INFO writing dependency_links to neurotune.egg-info/dependency_links.txt writing requirements to neurotune.egg-info/requires.txt writing top-level names to neurotune.egg-info/top_level.txt reading manifest file 'neurotune.egg-info/SOURCES.txt' adding license file 'LICENSE' adding license file 'AUTHORS' writing manifest file 'neurotune.egg-info/SOURCES.txt' Handling wheel from get_requires_for_build_wheel Requirement satisfied: wheel (installed: wheel 0.43.0) running dist_info writing neurotune.egg-info/PKG-INFO writing dependency_links to neurotune.egg-info/dependency_links.txt writing requirements to neurotune.egg-info/requires.txt writing top-level names to neurotune.egg-info/top_level.txt reading manifest file 'neurotune.egg-info/SOURCES.txt' adding license file 'LICENSE' adding license file 'AUTHORS' writing manifest file 'neurotune.egg-info/SOURCES.txt' creating '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/neurotune-0.2.6.dist-info' Handling scipy from hook generated metadata: Requires-Dist (neurotune) Requirement satisfied: scipy (installed: scipy 1.11.3) Handling inspyred from hook generated metadata: Requires-Dist (neurotune) Requirement satisfied: inspyred (installed: inspyred 1.0.2) Handling pyelectro from hook generated metadata: Requires-Dist (neurotune) Requirement satisfied: pyelectro (installed: pyelectro 0.2.7) + cat /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-buildrequires + rm -rfv neurotune-0.2.6.dist-info/ removed 'neurotune-0.2.6.dist-info/top_level.txt' removed 'neurotune-0.2.6.dist-info/LICENSE' removed 'neurotune-0.2.6.dist-info/AUTHORS' removed 'neurotune-0.2.6.dist-info/METADATA' removed directory 'neurotune-0.2.6.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.09oqwK + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd neurotune-0.2.6 + mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + TMPDIR=/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir Processing /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) running dist_info creating /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info writing /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/PKG-INFO writing dependency_links to /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/dependency_links.txt writing requirements to /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/requires.txt writing top-level names to /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/top_level.txt writing manifest file '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/SOURCES.txt' reading manifest file '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/SOURCES.txt' adding license file 'LICENSE' adding license file 'AUTHORS' writing manifest file '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune.egg-info/SOURCES.txt' creating '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-modern-metadata-swypcnlu/neurotune-0.2.6.dist-info' Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: neurotune Building wheel for neurotune (pyproject.toml): started Running command Building wheel for neurotune (pyproject.toml) running bdist_wheel running build running build_py creating build creating build/lib creating build/lib/neurotune copying neurotune/__init__.py -> build/lib/neurotune copying neurotune/evaluators.py -> build/lib/neurotune copying neurotune/controllers.py -> build/lib/neurotune copying neurotune/utils.py -> build/lib/neurotune copying neurotune/optimizers.py -> build/lib/neurotune installing to build/bdist.linux-riscv64/wheel running install running install_lib creating build/bdist.linux-riscv64 creating build/bdist.linux-riscv64/wheel creating build/bdist.linux-riscv64/wheel/neurotune copying build/lib/neurotune/__init__.py -> build/bdist.linux-riscv64/wheel/neurotune copying build/lib/neurotune/evaluators.py -> build/bdist.linux-riscv64/wheel/neurotune copying build/lib/neurotune/controllers.py -> build/bdist.linux-riscv64/wheel/neurotune copying build/lib/neurotune/utils.py -> build/bdist.linux-riscv64/wheel/neurotune copying build/lib/neurotune/optimizers.py -> build/bdist.linux-riscv64/wheel/neurotune running install_egg_info running egg_info writing neurotune.egg-info/PKG-INFO writing dependency_links to neurotune.egg-info/dependency_links.txt writing requirements to neurotune.egg-info/requires.txt writing top-level names to neurotune.egg-info/top_level.txt reading manifest file 'neurotune.egg-info/SOURCES.txt' adding license file 'LICENSE' adding license file 'AUTHORS' writing manifest file 'neurotune.egg-info/SOURCES.txt' Copying neurotune.egg-info to build/bdist.linux-riscv64/wheel/neurotune-0.2.6-py3.13.egg-info running install_scripts creating build/bdist.linux-riscv64/wheel/neurotune-0.2.6.dist-info/WHEEL creating '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir/pip-wheel-md36xbop/.tmp-v4mzheuy/neurotune-0.2.6-py3-none-any.whl' and adding 'build/bdist.linux-riscv64/wheel' to it adding 'neurotune/__init__.py' adding 'neurotune/controllers.py' adding 'neurotune/evaluators.py' adding 'neurotune/optimizers.py' adding 'neurotune/utils.py' adding 'neurotune-0.2.6.dist-info/AUTHORS' adding 'neurotune-0.2.6.dist-info/LICENSE' adding 'neurotune-0.2.6.dist-info/METADATA' adding 'neurotune-0.2.6.dist-info/WHEEL' adding 'neurotune-0.2.6.dist-info/top_level.txt' adding 'neurotune-0.2.6.dist-info/RECORD' removing build/bdist.linux-riscv64/wheel Building wheel for neurotune (pyproject.toml): finished with status 'done' Created wheel for neurotune: filename=neurotune-0.2.6-py3-none-any.whl size=19783 sha256=62a9808487358d9d1c0cbdb729a19ffa2453defdc4d601fce2804e11181b690c Stored in directory: /builddir/.cache/pip/wheels/2a/d0/28/d448a20561f1bd1b1d6bfea6291683e12b44790df83fddfef9 Successfully built neurotune + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.4CWXU3 + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + '[' /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-neurotune-0.2.6-build + mkdir /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd neurotune-0.2.6 ++ ls /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir/neurotune-0.2.6-py3-none-any.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=neurotune==0.2.6 + '[' -z neurotune==0.2.6 ']' + TMPDIR=/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir neurotune==0.2.6 Using pip 24.1.1 from /usr/lib/python3.13/site-packages/pip (python 3.13) Looking in links: /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/pyproject-wheeldir Processing ./pyproject-wheeldir/neurotune-0.2.6-py3-none-any.whl Installing collected packages: neurotune Successfully installed neurotune-0.2.6 + '[' -d /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + site_dirs+=("/usr/lib/python3.13/site-packages") + '[' /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' -d /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib64/python3.13/site-packages ']' + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost /usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info/INSTALLER + PYTHONPATH=/usr/lib/rpm/redhat + /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT --record /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info/RECORD --output /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-record + rm -fv /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info/RECORD removed '/builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info/REQUESTED removed '/builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune-0.2.6.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-ghost-distinfo ++ cut -f1 '-d ' + lines=1 + '[' 1 -ne 1 ']' + RPM_FILES_ESCAPE=4.19 + /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-files --output-modules /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-modules --buildroot /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-neurotune-0.2.6-build/python-neurotune-0.2.6-6.fc41.riscv64-pyproject-record --prefix /usr -l neurotune + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/brp-strip /usr/bin/strip + /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j64 Bytecompiling .py files below /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13 using python3.13 /usr/lib/python3.13/site-packages/neurotune/evaluators.py:14: SyntaxWarning: invalid escape sequence '\d' /usr/lib/python3.13/site-packages/neurotune/evaluators.py:14: SyntaxWarning: invalid escape sequence '\d' + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j64 /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/__pycache__/utils.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/__pycache__/__init__.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/__pycache__/optimizers.cpython-313.opt-1.pyc: replacing with normalized version /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/__pycache__/optimizers.cpython-313.pyc: replacing with normalized version /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/__pycache__/evaluators.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/__pycache__/controllers.cpython-313.opt-1.pyc: rewriting with normalized contents Scanned 8 directories and 21 files, processed 6 inodes, 6 modified (2 replaced + 4 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/python-neurotune-0.2.6-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.l3B4R2 + umask 022 + cd /builddir/build/BUILD/python-neurotune-0.2.6-build + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd neurotune-0.2.6 + rm -rf neurotune + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + PATH=/builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin + PYTHONPATH=/builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib64/python3.13/site-packages:/builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages + PYTHONDONTWRITEBYTECODE=1 + PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/.pyproject-builddir' + PYTEST_XDIST_AUTO_NUM_WORKERS=64 + ./test.sh /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_1 Mod files: "./Kv_3_erisir_99.mod" "./kv_1.mod" "./na.mod" Creating 'riscv64' directory for .o files. -> Compiling mod_func.cpp -> NMODL ../Kv_3_erisir_99.mod -> NMODL ../kv_1.mod -> NMODL ../na.mod Translating na.mod into /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_1/riscv64/na.c Translating Kv_3_erisir_99.mod into /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_1/riscv64/Kv_3_erisir_99.c Translating kv_1.mod into /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_1/riscv64/kv_1.c Notice: Assignment to the GLOBAL variable, "tadj", is not thread safe Notice: Assignment to the GLOBAL variable, "tadj", is not thread safe Notice: Assignment to the GLOBAL variable, "tadj", is not thread safe -> Compiling kv_1.c -> Compiling Kv_3_erisir_99.c -> Compiling na.c => LINKING shared library ./libnrnmech.so => LINKING executable ./special LDFLAGS are: -lreadline -lcurses -lform -lpython3.13 -lX11 -lXext Successfully created riscv64/special Warning: no DISPLAY environment variable. --No graphics will be displayed. Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_1/optimization.py:94: DeprecationWarning: neuron.init() is deprecated; use h.init() instead neuron.init() /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_1/optimization.py:98: DeprecationWarning: neuron.run(tstop) is deprecated; use h.stdinit() and h.continuerun(tstop) instead neuron.run(self.sim_time) target data path in evaluator:100pA_1a.csv Obtained targets are: {'average_minimum': -51.062776397737295, 'average_maximum': -47.39003703978413, 'min_peak_no': 312, 'max_peak_no': 313, 'mean_spike_frequency': 631.578947368421, 'interspike_time_covar': 2.1468022394024437, 'first_spike_time': 1.25, 'max_interspike_time': 23.50000000000003, 'min_interspike_time': 0.14999999999997726, 'trough_phase_adaptation': -0.0026749376966822822, 'spike_width_adaptation': 0.013998933212949172, 'peak_decay_exponent': 0.01607152202118056, 'trough_decay_exponent': 0.017327734293168806, 'spike_frequency_adaptation': -0.004709632048752859, 'spike_broadening': 0.0, 'peak_linear_gradient': 0.0883232160310768} Created files: /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_statistics.csv and /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_individuals.csv >>>>> Evaluating: >>>>> [3727.805997030051, 11.985722315428237, 0.8146584694924824, 266.8585244866213, 15.015570039336033, 0.2607659417388719] >>>>> [9167.944469301943, 8.910283369697762, 0.6940482046832197, 41.37507179402712, 12.269489949428733, 1.567160663612379] >>>>> [7423.945288241266, 26.220690320981326, 0.563723107368553, 267.30263520325246, 8.31817716537076, 1.0778727258074805] pyelectro >>> WARNING PPTD failure Fitness: 5.009430319660012 pyelectro >>> WARNING PPTD failure Fitness: 4.989253828986758 pyelectro >>> WARNING PPTD failure Fitness: 4.467429447493872 >>>>> Evaluating: >>>>> [8943.6754331929, 23.04164950870754, 0.5534510734673544, 162.74978315775456, 8.24030638021149, 1.3644665189324212] >>>>> [7417.169562799869, 27.1623456828092, 0.6004093279554287, 243.30284894031564, 12.579819124557083, 1.1424301397256897] pyelectro >>> WARNING PPTD failure Fitness: 4.7711058398419866 pyelectro >>> WARNING PPTD failure Fitness: 4.834513332994069 >>>>> Evaluating: >>>>> [7914.02349968861, 25.470919349121395, 0.5560874172369034, 234.1190800086675, 8.270103112184438, 1.3285425347589026] >>>>> [8549.617770576699, 24.488713675401623, 1, 235.57680563079384, 8.322675080563613, 1.3909087828580582] pyelectro >>> WARNING PPTD failure Fitness: 4.786792465484904 pyelectro >>> WARNING PPTD failure Fitness: 4.852676131657228 >>>>> Evaluating: >>>>> [7913.126694421111, 25.470919349121395, 0.5560874172369034, 235.28742414584335, 7.951842853511739, 1.3285425347589026] >>>>> [7914.566037477582, 25.470919349121395, 0.5560874172369034, 235.5242986332892, 8.270103112184438, 1.2472436284879245] pyelectro >>> WARNING PPTD failure Fitness: 4.820722580850511 pyelectro >>> WARNING PPTD failure Fitness: 4.812114633187906 >>>>> Evaluating: >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] >>>>> [7740.222426693233, 25.97035582705603, 0.5616860813928093, 264.7547459789899, 8.278773771049954, 1.0649524661812486] pyelectro >>> WARNING PPTD failure Fitness: 3.969694298240352 pyelectro >>> WARNING PPTD failure Fitness: 4.938776593537393 >>>>> Evaluating: >>>>> [7844.931493496728, 25.726021008773095, 0, 243.2793959579471, 7.70012766878353, 1.0741589399990152] >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.618910879687323 pyelectro >>> WARNING PPTD failure Fitness: 3.969694298240352 >>>>> Evaluating: >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 7.4183422887824335, 1.0741589399990152] >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.761738222794129 pyelectro >>> WARNING PPTD failure Fitness: 3.969694298240352 >>>>> Evaluating: >>>>> [7844.931493496728, 27.958742482542064, 0.663001651909685, 243.2793959579471, 8.298171120788435, 1.0741589399990152] >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 7.32878643156725, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.887040399969312 pyelectro >>> WARNING PPTD failure Fitness: 4.6793635723343545 >>>>> Evaluating: >>>>> [7843.565746204843, 26.467483974108724, 0.5562752625360786, 242.41605859442643, 7.341214382652727, 1.0741589399990152] >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 7.517386505064111, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.780389467317575 pyelectro >>> WARNING PPTD failure Fitness: 4.6561857881622295 >>>>> Evaluating: >>>>> [7844.830937476565, 26.57056939904801, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] >>>>> [7844.931493496728, 25.26297165406595, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.788932458116279 pyelectro >>> WARNING PPTD failure Fitness: 4.8122001304356266 >>>>> Evaluating: >>>>> [7844.275693962794, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] >>>>> [7844.931493496728, 25.726021008773095, 0.5562752625360786, 243.2793959579471, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.9661206521481898 pyelectro >>> WARNING PPTD failure Fitness: 3.969694298240352 >>>>> Evaluating: >>>>> [7844.483508968749, 25.726021008773095, 0.7024271243979773, 243.2793959579471, 8.298171120788435, 1.0741589399990152] >>>>> [7844.890224626705, 25.726021008773095, 0.5562752625360786, 244.50244021542895, 9.473898819073554, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.925018296856084 pyelectro >>> WARNING PPTD failure Fitness: 4.936722843791466 >>>>> Evaluating: >>>>> [7842.418499368392, 25.726021008773095, 0, 243.2793959579471, 8.298171120788435, 1.0741589399990152] >>>>> [7844.483508968749, 25.726021008773095, 0.7024271243979773, 242.7460878162988, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.929078030614038 pyelectro >>> WARNING PPTD failure Fitness: 4.9297008513467215 >>>>> Evaluating: >>>>> [7842.722216549062, 28.075077987365372, 0, 240.8320791889307, 8.298171120788435, 1.0741589399990152] >>>>> [7843.263697395488, 25.726021008773095, 0.4749264983777911, 243.2793959579471, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.830704356324569 pyelectro >>> WARNING PPTD failure Fitness: 4.685983936580439 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.292343290719, 25.726021008773095, 0.49602947201843417, 243.2793959579471, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 pyelectro >>> WARNING PPTD failure Fitness: 4.67776213815291 >>>>> Evaluating: >>>>> [7844.91855251814, 25.726021008773095, 1, 241.1191279874875, 8.298171120788435, 1.0741589399990152] >>>>> [7844.51898246558, 26.30455772413975, 0.5560028686630076, 244.3575048685469, 8.734739009301132, 0] pyelectro >>> WARNING PPTD failure Fitness: 4.605338737771717 pyelectro >>> WARNING PPTD failure Fitness: 4.764457752211452 >>>>> Evaluating: >>>>> [7844.819683000272, 26.781728550920437, 0.9216510301907328, 241.1683395758483, 8.298171120788435, 1.0741589399990152] >>>>> [7842.556994932664, 25.726021008773095, 1, 242.5272708904594, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.78880417687727 pyelectro >>> WARNING PPTD failure Fitness: 4.657494853157569 >>>>> Evaluating: >>>>> [7843.529860841986, 25.53728960097163, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.918046209696547 pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 7.615159868657558, 1.0741589399990152] >>>>> [7843.529860841986, 24.77447453851785, 0.5559126688310825, 242.80932083479627, 7.218077679660066, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.850291704404157 pyelectro >>> WARNING PPTD failure Fitness: 4.769953703629311 >>>>> Evaluating: >>>>> [7843.529860841986, 24.997910482034545, 0.5559126688310825, 243.27284480103228, 7.745985944003722, 1.0741589399990152] >>>>> [7843.529860841986, 25.221173706896202, 0.5559126688310825, 242.80932083479627, 8.067536185366208, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.935260712525818 pyelectro >>> WARNING PPTD failure Fitness: 4.385589395863795 >>>>> Evaluating: >>>>> [7843.529860841986, 26.026521074204293, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 241.8433984722466, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.0301754554545965 pyelectro >>> WARNING PPTD failure Fitness: 4.813674007075493 >>>>> Evaluating: >>>>> [7844.384967168036, 27.021083068339472, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 2] >>>>> [7843.529860841986, 25.84818733161787, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.908542074634422 pyelectro >>> WARNING PPTD failure Fitness: 4.234663809920256 >>>>> Evaluating: >>>>> [7843.529860841986, 25.735138673721412, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.529860841986, 25.35871177147179, 0.5559126688310825, 242.80932083479627, 7.655841357481194, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.815333467955379 pyelectro >>> WARNING PPTD failure Fitness: 4.835788799316225 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 245.51997310460234, 8.298171120788435, 0.04407812014980572] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.823642553468032 pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.529860841986, 25.726021008773095, 0.781884680314717, 242.80932083479627, 7.466071545415423, 0] pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 pyelectro >>> WARNING PPTD failure Fitness: 4.886696546090296 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7841.784151173292, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 7.22855716760324, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 pyelectro >>> WARNING PPTD failure Fitness: 4.825835394390235 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.73060351170844, 9.998382165983871, 1.0741589399990152] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.800308927344255 pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 >>>>> Evaluating: >>>>> [7843.529860841986, 25.65255096314211, 0.5559126688310825, 242.80932083479627, 8.439752935740643, 1.9078738488874372] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.634148397515454 pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.547297391628584] >>>>> [7843.529860841986, 25.726021008773095, 0, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.9478986643662575 pyelectro >>> WARNING PPTD failure Fitness: 4.927086906510937 >>>>> Evaluating: >>>>> [7844.161832957495, 27.141463192441556, 0.5813621912028142, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7844.337863235491, 25.726021008773095, 0.25641613842709987, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.735029059886777 pyelectro >>> WARNING PPTD failure Fitness: 4.803865803614348 >>>>> Evaluating: >>>>> [7843.888349997815, 25.835768838120952, 0.5626150697312009, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7844.161724423365, 25.71455169817452, 0.5755245021949007, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.560171762181675 pyelectro >>> WARNING PPTD failure Fitness: 4.953792703928107 >>>>> Evaluating: >>>>> [7843.888349997815, 25.835768838120952, 0.5626150697312009, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.888349997815, 25.835768838120952, 0.5626150697312009, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.560171762181675 pyelectro >>> WARNING PPTD failure Fitness: 4.560171762181675 >>>>> Evaluating: >>>>> [7843.888349997815, 25.835768838120952, 0.5626150697312009, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.888349997815, 25.835768838120952, 0.5626150697312009, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.560171762181675 pyelectro >>> WARNING PPTD failure Fitness: 4.560171762181675 >>>>> Evaluating: >>>>> [7843.767089868882, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.9151644952164704 pyelectro >>> WARNING PPTD failure Fitness: 3.914853145531795 >>>>> Evaluating: >>>>> [7844.106247486256, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] >>>>> [7843.529860841986, 25.726021008773095, 0.891242678509997, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.965937029096289 pyelectro >>> WARNING PPTD failure Fitness: 4.748220763220868 >>>>> Evaluating: >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 0] >>>>> [7843.529860841986, 25.726021008773095, 0.5559126688310825, 242.80932083479627, 9.845229994040547, 0.7618690727491075] pyelectro >>> WARNING PPTD failure Fitness: 4.860390318722699 pyelectro >>> WARNING PPTD failure Fitness: 4.314787280947543 >>>>> Evaluating: >>>>> [7843.529860841986, 22.857983919947817, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 0.010122575274013945] >>>>> [7844.163746578896, 25.819268654464427, 0.5559126688310825, 242.80932083479627, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.844921503235173 pyelectro >>> WARNING PPTD failure Fitness: 3.910834377082402 >>>>> Evaluating: >>>>> [7844.163746578896, 25.69911926066946, 0.5559126688310825, 242.80932083479627, 7.065322329546492, 1.0741589399990152] >>>>> [7844.163746578896, 25.819268654464427, 0.5559126688310825, 242.4362477870373, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.627522715994852 pyelectro >>> WARNING PPTD failure Fitness: 4.004095787532268 >>>>> Evaluating: >>>>> [7844.501885492737, 26.942051711172585, 0.8521188306419225, 242.4362477870373, 8.298171120788435, 1.0741589399990152] >>>>> [7845.755111575758, 25.819268654464427, 0.5559126688310825, 241.85110954087386, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.970595040479836 pyelectro >>> WARNING PPTD failure Fitness: 3.869859352809639 >>>>> Evaluating: >>>>> [7844.131992442872, 25.819268654464427, 0.5559126688310825, 242.37945193702234, 8.298171120788435, 2] >>>>> [7846.434255511629, 25.819268654464427, 0.5559126688310825, 241.96248583235845, 10.62084872659574, 2] pyelectro >>> WARNING PPTD failure Fitness: 4.324216485327122 pyelectro >>> WARNING PPTD failure Fitness: 4.5583535509001365 >>>>> Evaluating: >>>>> [7845.755111575758, 25.819268654464427, 0.5559126688310825, 241.85110954087386, 8.298171120788435, 1.0741589399990152] >>>>> [7845.755111575758, 25.819268654464427, 0, 241.85110954087386, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.869859352809639 pyelectro >>> WARNING PPTD failure Fitness: 4.948951043430444 >>>>> Evaluating: >>>>> [7845.755111575758, 23.790298426540385, 0, 241.85110954087386, 8.298171120788435, 2] >>>>> [7846.258300887581, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.831475654722106 pyelectro >>> WARNING PPTD failure Fitness: 3.868350316334518 >>>>> Evaluating: >>>>> [7847.796402297518, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] >>>>> [7846.258300887581, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.941872367418226, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.856896262632011 pyelectro >>> WARNING PPTD failure Fitness: 4.063792208255396 >>>>> Evaluating: >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] >>>>> [7846.835770230127, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.856292181808569 pyelectro >>> WARNING PPTD failure Fitness: 3.859567039702909 >>>>> Evaluating: >>>>> [7846.228184968467, 25.819268654464427, 0.6463283972898138, 241.85217561245304, 8.298171120788435, 1.0741589399990152] >>>>> [7847.837709419582, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 0.3855939154559761] pyelectro >>> WARNING PPTD failure Fitness: 4.707240702820606 pyelectro >>> WARNING PPTD failure Fitness: 4.2225423351931815 >>>>> Evaluating: >>>>> [7847.640808220229, 25.819268654464427, 0, 241.85217561245304, 8.298171120788435, 0.9665675595840129] >>>>> [7847.626900372817, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 0.5102976606659566] pyelectro >>> WARNING PPTD failure Fitness: 4.902367120966092 pyelectro >>> WARNING PPTD failure Fitness: 4.79642316564072 >>>>> Evaluating: >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 0] >>>>> [7847.558747110053, 25.819268654464427, 0, 241.85217561245304, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 4.897561038207792 pyelectro >>> WARNING PPTD failure Fitness: 4.9593251345111415 >>>>> Evaluating: >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 0.5133772580817677] >>>>> [7846.423098202005, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.04268222228842, 0.06688788184159922] pyelectro >>> WARNING PPTD failure Fitness: 4.796911183513057 pyelectro >>> WARNING PPTD failure Fitness: 4.864263829971797 >>>>> Evaluating: >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.856292181808569 pyelectro >>> WARNING PPTD failure Fitness: 3.856292181808569 >>>>> Evaluating: >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] >>>>> [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] pyelectro >>> WARNING PPTD failure Fitness: 3.856292181808569 pyelectro >>> WARNING PPTD failure Fitness: 3.856292181808569 [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] : 3.856292181808569 Fittest individual: [7847.558747110053, 25.819268654464427, 0.5559126688310825, 241.85217561245304, 8.298171120788435, 1.0741589399990152] : 3.856292181808569 /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_2 Mod files: "./Kv_3_erisir_99.mod" "./kv_1.mod" "./na.mod" Creating 'riscv64' directory for .o files. -> Compiling mod_func.cpp -> NMODL ../Kv_3_erisir_99.mod -> NMODL ../kv_1.mod -> NMODL ../na.mod Translating Kv_3_erisir_99.mod into /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_2/riscv64/Kv_3_erisir_99.c Translating kv_1.mod into /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_2/riscv64/kv_1.c Translating na.mod into /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_2/riscv64/na.c Notice: Assignment to the GLOBAL variable, "tadj", is not thread safe Notice: Assignment to the GLOBAL variable, "tadj", is not thread safe Notice: Assignment to the GLOBAL variable, "tadj", is not thread safe -> Compiling Kv_3_erisir_99.c -> Compiling kv_1.c -> Compiling na.c => LINKING shared library ./libnrnmech.so => LINKING executable ./special LDFLAGS are: -lreadline -lcurses -lform -lpython3.13 -lX11 -lXext Successfully created riscv64/special Warning: no DISPLAY environment variable. --No graphics will be displayed. /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_2/optimization.py:94: DeprecationWarning: neuron.init() is deprecated; use h.init() instead neuron.init() /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_2/optimization.py:98: DeprecationWarning: neuron.run(tstop) is deprecated; use h.stdinit() and h.continuerun(tstop) instead neuron.run(self.sim_time) Single spike width algorithm failure - setting to 0 /usr/lib/python3.13/site-packages/pyelectro/analysis.py:922: RuntimeWarning: divide by zero encountered in divide dy_dt = dv / dt /usr/lib/python3.13/site-packages/pyelectro/analysis.py:922: RuntimeWarning: invalid value encountered in divide dy_dt = dv / dt Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 target data path in evaluator:. data location ./100pA_1.csv target data path in evaluator:./100pA_1.csv Created files: /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_statistics.csv and /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_individuals.csv >>>>> Evaluating: >>>>> [5697.418844152866, 18.84676322559085, 0.13526775655422718, 13.483966186062048, 1.6071859574136447, 1.6275995370402145] >>>>> [691.8335774073348, 29.87341217909386, 0.017468664108377996, 249.48391829960326, 9.65187375742591, 0.04520720655176169] >>>>> [5265.839141093657, 14.43426081785787, 0.03197639872322211, 9.75291151687361, 10.569050695366343, 0.2161443587615568] >>>>> [4117.012491522267, 12.568635369670957, 0.24518318166127007, 109.01097572314978, 9.255268553355613, 0.06852196824389667] >>>>> [9807.000975725487, 28.858898022854927, 0.45709246292352523, 8.04364065163844, 8.918080108307624, 0.4043172751457451] >>>>> [6568.4677168684975, 3.395846344806934, 0.21753168099049858, 222.5095014251471, 3.8055708340763594, 1.7030054590673598] >>>>> [5355.752829195628, 5.196516987411343, 0.08551884679516553, 79.364763495517, 14.487686505867824, 1.025590681722758] >>>>> [8070.356453461058, 20.911648889404624, 0.4048005554336367, 206.6346547570476, 9.744263356341904, 0.4522322304526223] >>>>> [9568.813988410018, 3.6945607033771033, 0.7600257225823124, 148.54974897935315, 4.386393721561156, 1.4729885544724943] >>>>> [4947.2099530833775, 11.854463244294688, 0.24955421444750192, 13.255937141626305, 19.16677923191821, 1.7125127077890214] pyelectro >>> WARNING PPTD failure Fitness: 0.04154068535247857 pyelectro >>> Cannot analyse data: too few maxima (1) in data: {'maxima_locations': [3082], 'minima_locations': [], 'maxima_number': 1, 'minima_number': 0, 'maxima_times': [154.1000000000179], 'minima_times': [], 'maxima_values': [44.798400467688175], 'minima_values': []} pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: too few maxima (1) in data: {'maxima_locations': [3082], 'minima_locations': [], 'maxima_number': 1, 'minima_number': 0, 'maxima_times': [154.1000000000179], 'minima_times': [], 'maxima_values': [44.798400467688175], 'minima_values': []} Data is non-analysable Fitness: 16.0 pyelectro >>> WARNING PPTD failure Fitness: 0.021201203577838945 pyelectro >>> WARNING PPTD failure Fitness: 0.0250459118015689 pyelectro >>> WARNING PPTD failure Fitness: 1.9831788229276568 pyelectro >>> WARNING PPTD failure Fitness: 4.709795072710866 pyelectro >>> WARNING PPTD failure Fitness: 0.07001206673159166 pyelectro >>> WARNING PPTD failure Fitness: 1.5420875333796786 pyelectro >>> WARNING PPTD failure Fitness: 5.480802803757625 pyelectro >>> WARNING PPTD failure Fitness: 0.01611806642609792 >>>>> Evaluating: >>>>> [4192.756001945068, 15.156266652787924, 0.149048558255308, 17.974638106480498, 3.5925801950862746, 1.0819031837717383] >>>>> [4296.246929325351, 16.676701772561685, 0, 11.335230921621365, 4.122071432427786, 1.5953325284417168] >>>>> [4726.571233812531, 12.155378677772186, 0, 108.61903877769804, 15.193460983894036, 0.8160382514436127] >>>>> [4530.7845389753975, 11.218906339641123, 0.24864994749918007, 16.946105079404717, 10.217837905188805, 0.607206790880667] pyelectro >>> WARNING PPTD failure Fitness: 0.038928051252726914 pyelectro >>> WARNING PPTD failure Fitness: 0.01310733297829425 pyelectro >>> WARNING PPTD failure Fitness: 0.017209481849891906 pyelectro >>> WARNING PPTD failure Fitness: 0.0541215927597265 >>>>> Evaluating: >>>>> [4763.383816691948, 15.447005444423553, 0.16532488805043644, 14.171009317285318, 19.55006810012793, 1.8134177773867761] >>>>> [4633.205238407814, 12.317578377133028, 1, 13.645951410526191, 19.892373669690144, 1.4873720377203477] >>>>> [5416.614022016302, 18.023141251111344, 0.7838696184412269, 9.855804912448074, 3.685253335083462, 1.4773496170351523] >>>>> [5479.069801292667, 15.914138464486436, 0, 10.884311078042401, 5.665796194464093, 0.621483440995201] pyelectro >>> WARNING PPTD failure Fitness: 0.07427896287438773 pyelectro >>> WARNING PPTD failure Fitness: 0.036789822240651415 pyelectro >>> WARNING PPTD failure Fitness: 0.004390518088468687 pyelectro >>> WARNING PPTD failure Fitness: 0.027605743355504808 >>>>> Evaluating: >>>>> [4408.997359158716, 14.783895501652932, 0, 52.94141119764481, 8.918906172138193, 0.16182537194141108] >>>>> [5199.80825157393, 15.459911826553107, 0.03594448111025224, 30.30404547753804, 6.972974506999557, 0.5139655714692588] >>>>> [4442.238472098339, 17.11196661012668, 0.8884012631460543, 8.18343373033035, 3.2210025514939096, 1.7922379276164029] >>>>> [5113.279820113701, 15.167293895783263, 0.5804180360673422, 32.50673982760384, 5.969522886926674, 0.9369975041863551] pyelectro >>> WARNING PPTD failure Fitness: 0.035099233807904806 pyelectro >>> WARNING PPTD failure Fitness: 0.019051434462931005 pyelectro >>> WARNING PPTD failure Fitness: 0.9496407074465502 pyelectro >>> WARNING PPTD failure Fitness: 0.0750937191140163 >>>>> Evaluating: >>>>> [4727.114686921088, 12.155378677772186, 0.0, 108.61903877769804, 15.563742373349887, 0.8160382514436127] >>>>> [4726.571233812531, 12.155378677772186, 0.3985802515202021, 108.61903877769804, 13.875656248543583, 0.8160382514436127] >>>>> [4947.2099530833775, 11.854463244294688, 0.24955421444750192, 13.255937141626305, 19.16677923191821, 0.5812882280411567] >>>>> [4947.2099530833775, 12.510619201505296, 0.24955421444750192, 13.255937141626305, 19.16677923191821, 1.7125127077890214] pyelectro >>> WARNING PPTD failure Fitness: 0.017722977554087915 pyelectro >>> WARNING PPTD failure Fitness: 0.9624494174708907 pyelectro >>> WARNING PPTD failure Fitness: 0.04066592604770114 pyelectro >>> WARNING PPTD failure Fitness: 0.0670183444554846 >>>>> Evaluating: >>>>> [4883.993937376919, 12.580932048164936, 0, 12.86730169363148, 5.015688039380256, 1.0854888351392205] >>>>> [4728.788885579899, 13.211544819106486, 0, 11.628387683037234, 19.176242712519343, 2] >>>>> [4944.52561900072, 11.854463244294688, 0.12121229705168005, 13.255937141626305, 19.16677923191821, 1.15553264606908] >>>>> [4948.645956793929, 11.024870803556455, 0.24955421444750192, 13.255937141626305, 19.16677923191821, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.06503401400357178 pyelectro >>> WARNING PPTD failure Fitness: 0.026862352402139966 pyelectro >>> WARNING PPTD failure Fitness: 0.02461652958273075 pyelectro >>> WARNING PPTD failure Fitness: 0.015877265703336696 >>>>> Evaluating: >>>>> [4963.852078384016, 11.550542532650871, 0.2313530402531925, 108.11299023230404, 19.28297490051994, 1.379870470544169] >>>>> [4868.955673051244, 11.945546566237113, 0.14901516284447294, 17.361643191179205, 16.82038370388307, 2] >>>>> [4941.2350321670465, 16.12781995416335, 0.033795750578009584, 12.635828043637748, 17.421488142548736, 1.601430212719657] >>>>> [4881.58991620464, 16.629189646339245, 1, 11.185762595733935, 2.292953309921434, 1.6383075295307765] pyelectro >>> WARNING PPTD failure Fitness: 0.02589543570250441 pyelectro >>> WARNING PPTD failure Fitness: 0.019608625815467406 pyelectro >>> WARNING PPTD failure Fitness: 0.05269368875400726 pyelectro >>> WARNING PPTD failure Fitness: 0.013359599696237567 >>>>> Evaluating: >>>>> [4901.772653055306, 15.48803656762619, 0, 10.922002139167938, 3.0884217571273607, 2] >>>>> [4899.078033387497, 13.84286492428125, 0.9584699389446751, 13.568788744045461, 7.855709881532743, 1.6790151227754802] >>>>> [4930.139687004715, 12.736358967656171, 1, 12.677344755680359, 17.852329611000172, 2] >>>>> [4942.111230445198, 11.036986539636848, 0.7897333615478918, 13.409333045457409, 2.5121412968215693, 1.938556228765548] pyelectro >>> WARNING PPTD failure Fitness: 0.0654483538027747 pyelectro >>> WARNING PPTD failure Fitness: 0.011874694527683638 pyelectro >>> WARNING PPTD failure Fitness: 0.014195853502406042 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 pyelectro >>> WARNING PPTD failure Fitness: 0.14263461307307823 >>>>> Evaluating: >>>>> [4935.05757114147, 11.041209089232748, 0, 13.247406305705367, 17.91079741456658, 1.3652743902012885] >>>>> [4927.600640899957, 12.201476860175195, 0.34050427018831475, 12.930746824404363, 18.331162715256774, 1.5222480439235588] >>>>> [4968.37104144281, 15.21180658509522, 0, 11.377800337030797, 3.610635824223911, 1.7564112962449532] >>>>> [4438.269980353528, 14.639751457830084, 0.6402106879625162, 12.217965954005658, 13.99224986840811, 1.8947299698717353] pyelectro >>> WARNING PPTD failure Fitness: 0.020991501992330908 pyelectro >>> WARNING PPTD failure Fitness: 0.04498436131639305 pyelectro >>> WARNING PPTD failure Fitness: 0.03420319122754756 pyelectro >>> WARNING PPTD failure Fitness: 0.07843345861380246 >>>>> Evaluating: >>>>> [5211.914810462858, 17.72364877109328, 1, 11.315959531893053, 2.456605415982172, 2] >>>>> [5308.388461789889, 17.823951616080887, 0.7907892766995833, 9.102416317254391, 3.7667068657453173, 1.8896754927030197] >>>>> [5412.135232699472, 12.139974565992915, 0.24457913187155106, 13.082443672044644, 5.2081146185724005, 2] >>>>> [5334.033527782303, 12.780975230591226, 0.020006771067739168, 11.998615927516838, 18.326004503330992, 1.370676578071324] pyelectro >>> WARNING PPTD failure Fitness: 0.012898062275315203 pyelectro >>> WARNING PPTD failure Fitness: 0.011744569129772064 pyelectro >>> WARNING PPTD failure Fitness: 0.02093416406226911 pyelectro >>> WARNING PPTD failure Fitness: 0.017266859242661914 >>>>> Evaluating: >>>>> [5462.466094073704, 14.946382018071384, 0.8352688734319016, 10.454736859320164, 9.055575784490928, 1.2885009794589615] >>>>> [5274.703276140153, 15.43146354276044, 0.7726959626425137, 9.540643441468136, 3.5411704135784348, 1.6129792694594463] >>>>> [4909.87760866361, 15.24562610337903, 0.9316877531443546, 13.31849977479118, 8.976817450522965, 1.7223257122361635] >>>>> [5073.666599447535, 17.432624023618676, 0.8875342193255877, 12.25120146328681, 8.05437846926969, 1.8700528221259682] pyelectro >>> WARNING PPTD failure Fitness: 0.016508360909488595 pyelectro >>> WARNING PPTD failure Fitness: 0.009808951296057633 pyelectro >>> WARNING PPTD failure Fitness: 0.00781469694800807 pyelectro >>> WARNING PPTD failure Fitness: 0.005000031111120573 >>>>> Evaluating: >>>>> [5296.337182707211, 17.491794565110645, 1, 10.74888493440565, 11.018164447740805, 1.805290579029941] >>>>> [5347.799094105293, 17.907774708026302, 0.8776826689605113, 8.867489787148203, 4.025497162327557, 2] >>>>> [5294.637192237526, 15.26954002392667, 0.7864863527632984, 8.268732556432193, 3.7310417240794553, 1.8795439991439542] >>>>> [5289.745601464037, 14.970865470049546, 1, 8.617123626433365, 3.540647511577695, 1.813819706725565] pyelectro >>> WARNING PPTD failure Fitness: 0.04756098642492246 pyelectro >>> WARNING PPTD failure Fitness: 0.019558926383309472 pyelectro >>> WARNING PPTD failure Fitness: 0.03587501700481199 pyelectro >>> WARNING PPTD failure Fitness: 0.06886411884848798 >>>>> Evaluating: >>>>> [5048.999238190717, 17.526054944811374, 0.8842316494802749, 10.675723598813434, 6.465052154648364, 1.9415481168742168] >>>>> [5190.768077832876, 18.09698068320953, 1, 10.301066467795485, 4.716059883356516, 2] >>>>> [5034.832203056524, 15.956291679556422, 1, 12.917087212291715, 8.974797405892385, 1.776639270691991] >>>>> [5069.334405492598, 15.861785287425581, 1, 12.217818207654377, 8.764950083435382, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.007404322242323236 pyelectro >>> WARNING PPTD failure Fitness: 0.0058045880666171 pyelectro >>> WARNING PPTD failure Fitness: 0.0042703346745263104 pyelectro >>> WARNING PPTD failure Fitness: 0.008960607327079484 >>>>> Evaluating: >>>>> [5258.622042846734, 17.736265968635244, 0.9032319600193348, 10.307321235603753, 4.061621770740899, 2] >>>>> [5255.017160707356, 16.418341062061042, 1, 9.49402820499425, 3.7634211816882917, 1.6163048068146344] >>>>> [5052.025663562133, 15.186039991878518, 1.0, 12.93464326425197, 8.872731350479437, 1.0005171484122] >>>>> [5061.560780259939, 15.931125360677182, 0, 12.824172895111852, 8.894641292823428, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.01780851179989662 pyelectro >>> WARNING PPTD failure Fitness: 0.007714404202859293 pyelectro >>> WARNING PPTD failure Fitness: 0.010566633367001699 pyelectro >>> WARNING PPTD failure Fitness: 0.008337143944771253 >>>>> Evaluating: >>>>> [5062.719974163678, 17.690804283108438, 0, 10.820200567396826, 8.886850133321, 2.0] >>>>> [5162.84649740785, 18.760627801777975, 1, 11.726040913674044, 6.532774418667408, 1.8422135541191675] >>>>> [5183.468776560044, 17.651923755448262, 1, 8.898056005562434, 4.8949803684587465, 1.9752865522807024] >>>>> [5084.252677113421, 17.800892622531, 0.921482811580548, 10.61567640359874, 6.2757332983424785, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.005886204895599767 pyelectro >>> WARNING PPTD failure Fitness: 0.005535308014537499 pyelectro >>> WARNING PPTD failure Fitness: 0.014707158996247194 pyelectro >>> WARNING PPTD failure Fitness: 0.024602840761013933 >>>>> Evaluating: >>>>> [5070.46420034563, 18.20228778783293, 0.8857214274948795, 11.240055012494965, 8.36037262872754, 1.904437943380407] >>>>> [5072.936414337846, 17.519542057641516, 0.8864343397193356, 11.041625442394887, 6.344294014128004, 1.910040902002146] >>>>> [5055.548347622238, 17.914192887720933, 0.22418710123641314, 9.481889817343504, 6.67245097809595, 2] >>>>> [5056.4866347325, 17.29000551840861, 0.7479294320979695, 10.456317131898597, 9.109162708263897, 1.3284569748868977] pyelectro >>> WARNING PPTD failure Fitness: 0.011138429144279205 pyelectro >>> WARNING PPTD failure Fitness: 0.0017604155497097373 pyelectro >>> WARNING PPTD failure Fitness: 0.010499859642976506 pyelectro >>> WARNING PPTD failure Fitness: 0.03538299518797228 >>>>> Evaluating: >>>>> [5040.377936296427, 16.887924340137737, 0.9677422165347346, 11.992609509692755, 8.739231990760908, 1.8429781474363516] >>>>> [5055.920999062604, 16.33336172851402, 0, 12.83928363616577, 10.685135219305515, 2] >>>>> [5061.531102963377, 17.73713457816875, 0.00436399816098304, 12.94073860171243, 8.949737905522024, 0] >>>>> [5063.189352824954, 16.091478126572145, 0.1328922184004488, 11.496308476966243, 8.966607799987456, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.035854111932570265 pyelectro >>> WARNING PPTD failure Fitness: 0.026786319922397994 pyelectro >>> WARNING PPTD failure Fitness: 0.025474909968043802 pyelectro >>> WARNING PPTD failure Fitness: 0.01272439164776984 >>>>> Evaluating: >>>>> [5247.361256032388, 17.520890338502046, 0.8449276343364884, 11.411554609129892, 7.189078871090154, 0.7512819772009679] >>>>> [5401.092568558378, 16.833391206105443, 0, 11.657377698684053, 7.563109993309126, 1.3552318651853583] >>>>> [5063.189352824954, 15.217104146701807, 0, 11.190094967061633, 8.966607799987456, 2] >>>>> [5063.189352824954, 15.75341444697729, 0.1328922184004488, 11.102471424348133, 8.966607799987456, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.018516027281437974 pyelectro >>> WARNING PPTD failure Fitness: 0.03601150845414014 pyelectro >>> WARNING PPTD failure Fitness: 0.07073679565221547 pyelectro >>> WARNING PPTD failure Fitness: 0.01434898990295963 >>>>> Evaluating: >>>>> [5278.750996822191, 17.84702606800298, 1, 10.54306803798965, 6.1968603325596625, 0.9222551137005306] >>>>> [5372.8963355577025, 17.869048061971693, 1, 9.982933809338867, 5.39138288049254, 2] >>>>> [5416.420539253993, 17.738119822323426, 0, 9.855804912448074, 3.355420456651408, 1.4773496170351523] >>>>> [5417.36060414165, 18.023141251111344, 0.8518882521788096, 9.855804912448074, 3.685253335083462, 1.1268776892375099] pyelectro >>> WARNING PPTD failure Fitness: 0.012069301925243359 pyelectro >>> WARNING PPTD failure Fitness: 0.007275771726118596 pyelectro >>> WARNING PPTD failureSingle spike width algorithm failure - setting to 0 Fitness: 0.009786174972949868 pyelectro >>> WARNING PPTD failure Fitness: 0.014483094099710714 >>>>> Evaluating: >>>>> [5336.1288503939395, 17.866066887559622, 0.3510416196655215, 12.351839988679737, 3.5349381951779058, 1.9270652657159877] >>>>> [5291.7608435430575, 17.606542502077822, 0.8225315259402801, 11.060425267346835, 4.276894910118866, 0] >>>>> [5181.35431881614, 15.47227952260296, 1, 10.510455549215052, 10.456833835798776, 1.624092148998379] >>>>> [5210.7907255784385, 19.84446368712601, 0.8960210087973429, 11.733609881192985, 6.0919783337040805, 0.21876435065679023] pyelectro >>> WARNING PPTD failure Fitness: 0.017110499758338005 pyelectro >>> WARNING PPTD failure Fitness: 0.043589963784581576 pyelectro >>> WARNING PPTD failure Fitness: 0.018309922996919026 pyelectro >>> WARNING PPTD failure Fitness: 0.018425798573394547 >>>>> Evaluating: >>>>> [5140.531647521988, 18.304574877675734, 0.9423754512791928, 10.830336097536653, 6.047773862817889, 1.5973979454553762] >>>>> [5294.956110499989, 18.115971004642567, 0, 11.321805011083674, 3.6722777365959933, 1.5978187575461016] >>>>> [5044.873147848994, 17.16968375858805, 0.959624896611838, 13.277781819242533, 8.042893713737275, 1.864141761122089] >>>>> [5067.871117013499, 16.615650005174086, 0, 12.466991041270205, 6.775282065346995, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.0061999918957448275 pyelectro >>> WARNING PPTD failure Fitness: 0.013758029128939087 pyelectro >>> WARNING PPTD failure Fitness: 0.028237793440875847 pyelectro >>> WARNING PPTD failure Fitness: 0.01737465618777101 >>>>> Evaluating: >>>>> [5191.649967901711, 18.289786964162104, 0.4729265671975013, 9.916915117934392, 6.769562346433319, 1.7569091911157768] >>>>> [5233.03865312067, 19.571780144816913, 0.9888457072887752, 11.27768198219037, 6.402321121966768, 1.4963328714765942] >>>>> [5435.140845723689, 17.283982540798114, 1, 10.218604444332662, 7.612818897792399, 1.7581702407525661] >>>>> [5215.716673399163, 14.926441671656551, 0.4000060912017037, 11.93607286717554, 7.0330814725285205, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.006990853538892838 pyelectro >>> WARNING PPTD failure Fitness: 0.018217738328233146 pyelectro >>> WARNING PPTD failure Fitness: 0.02186803227984291 pyelectro >>> WARNING PPTD failure Fitness: 0.033893952157899365 >>>>> Evaluating: >>>>> [5242.592196675057, 17.82322733811262, 0.6089955494524222, 9.930428615522898, 3.584700192875691, 0.906465549267749] >>>>> [5406.702230787177, 17.906418541285106, 1, 10.60373083863971, 4.655825260273863, 2] >>>>> [5281.3306281230225, 18.605497973036304, 0.8429101808990648, 10.819095752838463, 5.198291891845343, 2] >>>>> [5301.342232267717, 18.279125147305816, 0.8736824492624788, 10.29776201730542, 3.475506091417823, 1.9729561311779047] pyelectro >>> WARNING PPTD failure Fitness: 0.020038284339449763 pyelectro >>> WARNING PPTD failure Fitness: 0.011910325318049808 pyelectro >>> WARNING PPTD failure Fitness: 0.0044223455268885825 pyelectro >>> WARNING PPTD failure Fitness: 0.013196481828151363 >>>>> Evaluating: >>>>> [5036.53810336813, 16.31532022880933, 1, 11.474996962949588, 6.415644795101364, 1.9238633989258354] >>>>> [5124.743740984459, 17.28945959836989, 0.8556448233379124, 11.648265472454728, 5.236511110036467, 1.8133245763048282] >>>>> [5299.23557146543, 19.767181097166972, 0.8652984320056661, 10.66242537439311, 3.3870819020186844, 0.1068759546220126] >>>>> [5296.621714771609, 19.51718225099303, 0, 11.16006375979928, 4.112953596195024, 1.9826984542941077] pyelectro >>> WARNING PPTD failure Fitness: 0.023999487737488834 pyelectro >>> WARNING PPTD failure Fitness: 0.031532058339731495 pyelectro >>> WARNING PPTD failure Fitness: 0.031764502321252275 pyelectro >>> WARNING PPTD failure Fitness: 0.015771951874033463 [5072.936414337846, 17.519542057641516, 0.8864343397193356, 11.041625442394887, 6.344294014128004, 1.910040902002146] : 0.0017604155497097373 Fittest individual: [5072.936414337846, 17.519542057641516, 0.8864343397193356, 11.041625442394887, 6.344294014128004, 1.910040902002146] : 0.0017604155497097373 data location ./100pA_1.csv target data path in evaluator:./100pA_1.csv Created files: /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_statistics.csv and /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_individuals.csv >>>>> Evaluating: >>>>> [5697.418844152866, 18.84676322559085, 0.13526775655422718, 13.483966186062048, 1.6071859574136447, 1.6275995370402145] >>>>> [691.8335774073348, 29.87341217909386, 0.017468664108377996, 249.48391829960326, 9.65187375742591, 0.04520720655176169] >>>>> [5265.839141093657, 14.43426081785787, 0.03197639872322211, 9.75291151687361, 10.569050695366343, 0.2161443587615568] >>>>> [4117.012491522267, 12.568635369670957, 0.24518318166127007, 109.01097572314978, 9.255268553355613, 0.06852196824389667] >>>>> [9807.000975725487, 28.858898022854927, 0.45709246292352523, 8.04364065163844, 8.918080108307624, 0.4043172751457451] >>>>> [6568.4677168684975, 3.395846344806934, 0.21753168099049858, 222.5095014251471, 3.8055708340763594, 1.7030054590673598] >>>>> [5355.752829195628, 5.196516987411343, 0.08551884679516553, 79.364763495517, 14.487686505867824, 1.025590681722758] >>>>> [8070.356453461058, 20.911648889404624, 0.4048005554336367, 206.6346547570476, 9.744263356341904, 0.4522322304526223] >>>>> [9568.813988410018, 3.6945607033771033, 0.7600257225823124, 148.54974897935315, 4.386393721561156, 1.4729885544724943] >>>>> [4947.2099530833775, 11.854463244294688, 0.24955421444750192, 13.255937141626305, 19.16677923191821, 1.7125127077890214] >>>>> [5915.985629192448, 4.2858821915341, 0.8079375320988661, 85.52573245174315, 15.751714432293614, 0.19790563176787468] >>>>> [5093.49326904627, 21.028591208688916, 0.05198838116216864, 290.96794376959286, 9.233321231162904, 1.6123199883525483] >>>>> [9390.846162794101, 2.9979196254926173, 0.23329526791115351, 285.42059648535394, 4.736311416221763, 0.13544940871315525] >>>>> [8990.669969032959, 24.15293068776953, 0.8189394501969983, 212.13562958072168, 8.37821753685159, 0.4948445454929571] >>>>> [6588.867493073024, 0.5287276727429386, 0.8781820704241372, 24.02417319557651, 14.83517918821141, 1.7292553497365755] >>>>> [4847.291252356173, 12.493095118716205, 0.6655818734124623, 231.96962521468075, 5.249798542798931, 1.2823939148645251] >>>>> [5381.059717680226, 7.940419351436947, 0.5078898121386728, 203.36904236759312, 15.993408103291994, 1.6913098308469587] >>>>> [7673.834157179213, 12.372881228532169, 0.5186358196859923, 291.23726319821503, 5.806893111582422, 0.6169541990746246] >>>>> [4267.233292645473, 12.700343231787155, 0.19577139333558735, 18.020526550650175, 15.350735589769668, 1.5627367158479044] >>>>> [3312.970849960493, 18.09460150953248, 0.6117660332502871, 186.87181526768939, 19.176475457723086, 0.7390649551039354] >>>>> [3589.4675786546195, 10.022903329958655, 0.3988217053555737, 92.6252117711854, 4.6734738621954275, 1.2101198462705574] >>>>> [3340.7732563944674, 5.651272470591866, 0.5800545401353623, 58.372241579350714, 11.03449524511278, 1.3098756818207686] >>>>> [5120.035711682326, 14.838248098146138, 0.734145395072409, 82.28864906868975, 16.837511552125374, 0.9392331344392428] >>>>> [7127.073193507771, 18.63981634139389, 0.235113718798575, 137.0577955107398, 19.32633732056302, 1.0645913843656059] >>>>> [7172.529400136662, 21.013478925986405, 0.6418050395608462, 126.56792321073394, 0.017300943651427758, 0.1849657256940216] >>>>> [5125.540504239276, 10.173982466274964, 0.20591260494457475, 95.68855624091017, 18.144915652073383, 0.3347108606329088] >>>>> [3483.2919762004585, 13.182008170831285, 0.6611020094936616, 178.92638577722767, 5.186884390819683, 1.5650083995633395] >>>>> [7455.466364097538, 2.5452388204859773, 0.8896145786290639, 102.2493619591936, 10.655106407009296, 0.700096341119377]Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 >>>>> [1617.42793658544, 24.84372087539161, 0.4002669448846389, 287.66249944092385, 9.21537942427536, 0.8412374035293413] >>>>> [234.71971875935924, 2.828359285943403, 0.8101091947504714, 287.46981163026373, 7.902722765979327, 0.3615162906356282] pyelectro >>> WARNING PPTD failure Fitness: 0.04154068535247857 pyelectro >>> Cannot analyse data: too few maxima (1) in data: {'maxima_locations': [3082], 'minima_locations': [], 'maxima_number': 1, 'minima_number': 0, 'maxima_times': [154.1000000000179], 'minima_times': [], 'maxima_values': [44.798400467688175], 'minima_values': []} pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: too few maxima (1) in data: {'maxima_locations': [3082], 'minima_locations': [], 'maxima_number': 1, 'minima_number': 0, 'maxima_times': [154.1000000000179], 'minima_times': [], 'maxima_values': [44.798400467688175], 'minima_values': []} Data is non-analysable Fitness: 16.0 pyelectro >>> WARNING PPTD failure Fitness: 0.021201203577838945 pyelectro >>> WARNING PPTD failure Fitness: 0.0250459118015689 pyelectro >>> WARNING PPTD failure Fitness: 1.9831788229276568 pyelectro >>> WARNING PPTD failure Fitness: 4.709795072710866 pyelectro >>> WARNING PPTD failure Fitness: 0.07001206673159166 pyelectro >>> WARNING PPTD failure Fitness: 1.5420875333796786 pyelectro >>> WARNING PPTD failure Fitness: 5.480802803757625 pyelectro >>> WARNING PPTD failure Fitness: 0.01611806642609792 pyelectro >>> WARNING PPTD failure Fitness: 0.08806433232734834 pyelectro >>> WARNING PPTD failure Fitness: 0.07957677225047399 pyelectro >>> WARNING PPTD failure Fitness: 5.73364678958576 pyelectro >>> WARNING PPTD failure Fitness: 1.7899195075522605 pyelectro >>> WARNING PPTD failure Fitness: 1.117573183582207 pyelectro >>> WARNING PPTD failure Fitness: 0.052559543411263454 pyelectro >>> WARNING PPTD failure Fitness: 0.033776280515825485 pyelectro >>> WARNING PPTD failure Fitness: 1.6891719230658484 pyelectro >>> WARNING PPTD failure Fitness: 0.022593009350337145 pyelectro >>> WARNING PPTD failure Fitness: 0.04862241712935822 pyelectro >>> WARNING PPTD failure Fitness: 0.07047671846385639 pyelectro >>> WARNING PPTD failure Fitness: 0.1493053262462426 pyelectro >>> WARNING PPTD failure Fitness: 0.014395760386268108 pyelectro >>> WARNING PPTD failure Fitness: 1.0417531877999031 pyelectro >>> WARNING PPTD failure Fitness: 1.0803440806914844 pyelectro >>> WARNING PPTD failure Fitness: 0.035772145091956586 pyelectro >>> WARNING PPTD failure Fitness: 0.03470442286458475 pyelectro >>> WARNING PPTD failure Fitness: 1.8832272852194938 pyelectro >>> WARNING PPTD failure Fitness: 0.1726255037470944 pyelectro >>> Cannot analyse data: too few maxima (1) in data: {'maxima_locations': [3093], 'minima_locations': [], 'maxima_number': 1, 'minima_number': 0, 'maxima_times': [154.65000000001803], 'minima_times': [], 'maxima_values': [44.243337165484775], 'minima_values': []} pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: too few maxima (1) in data: {'maxima_locations': [3093], 'minima_locations': [], 'maxima_number': 1, 'minima_number': 0, 'maxima_times': [154.65000000001803], 'minima_times': [], 'maxima_values': [44.243337165484775], 'minima_values': []} Data is non-analysable Fitness: 16.0 >>>>> Evaluating: >>>>> [5146.479144405187, 4.483008360895138, 0, 29.85057385676096, 17.371943138964163, 1.4976862018989168] >>>>> [5374.8211280542855, 11.773873594578367, 0.4965615752991107, 31.825801754658343, 15.910771021334524, 0.7558155039601037] >>>>> [4898.902397562581, 15.951470919327617, 1, 90.31663956095629, 10.085746218921056, 1.6076354012645289] >>>>> [4551.254763858423, 15.836751586685486, 1, 223.36358088766352, 10.173747993959735, 1.6080113843642374] pyelectro >>> WARNING PPTD failure Fitness: 0.10570630240750623 pyelectro >>> WARNING PPTD failure Fitness: 0.9149491905700761 pyelectro >>> WARNING PPTD failure Fitness: 0.016094528644647554 pyelectro >>> WARNING PPTD failure Fitness: 0.0031949455510661418 >>>>> Evaluating: >>>>> [5248.823146646513, 14.604299859197413, 0.9630552052997721, 175.18457773608833, 7.662532544874356, 1.3697440536184124] >>>>> [7513.473563271201, 15.177143416452195, 0.6206015027787278, 111.67829338734417, 5.54135599265053, 1.038137789454552] >>>>> [4422.200370940534, 12.333037348068167, 0.2663941957223603, 99.00905670953179, 11.653047045790997, 0.3967794041509472] >>>>> [5272.113149875777, 12.621608974892288, 0.9196399061705229, 52.20615638692416, 13.698167977835292, 0.13598045683467397] pyelectro >>> WARNING PPTD failure Fitness: 0.011965554048313898 pyelectro >>> WARNING PPTD failure Fitness: 1.3990081788641706 pyelectro >>> WARNING PPTD failure Fitness: 0.018163690452323467 pyelectro >>> WARNING PPTD failure Fitness: 0.02071870192431935 >>>>> Evaluating: >>>>> [4676.375580689433, 16.56786478900759, 1, 148.74892055344753, 18.0618032510019, 1.9723428235038254] >>>>> [4633.428762343675, 15.598179803842754, 0.6035059349640919, 169.55433326427718, 18.408804424521154, 0.935644876723817] >>>>> [5714.557220677562, 18.103446580457057, 0.13506583864214686, 13.418903939114747, 7.779660721998811, 1.7465576769756903] >>>>> [5243.993941024916, 13.377978539139553, 0.052894437347969434, 12.266429003852613, 6.832400880967821, 1.1620746442283005] pyelectro >>> WARNING PPTD failure Fitness: 0.055996225547076284 pyelectro >>> WARNING PPTD failure Fitness: 0.021495815478150604 pyelectro >>> WARNING PPTD failure Fitness: 0.029894586142271806 pyelectro >>> WARNING PPTD failure Fitness: 0.009308831400828166 >>>>> Evaluating: >>>>> [5151.263558265168, 14.674113973018727, 1, 84.78969089965591, 12.333737923125561, 1.2097473837075863] >>>>> [5140.267710471276, 15.026779292142859, 0.9321913752980419, 93.26162706001269, 16.844193261536564, 1.0385216985000125] >>>>> [5163.393683461208, 11.272604715009845, 0.3284748302768155, 96.93196815253019, 6.99001472801225, 1.2104465227488963] >>>>> [4701.214822295255, 13.377806109461893, 0.9751786120438666, 74.31954935021962, 4.534463591616727, 0.8533108742225197] pyelectro >>> WARNING PPTD failure Fitness: 0.025322891168103934 pyelectro >>> WARNING PPTD failure Fitness: 0.031078113300758825 pyelectro >>> WARNING PPTD failure Fitness: 0.022148211027004705 pyelectro >>> WARNING PPTD failure Fitness: 0.02836843841116632 >>>>> Evaluating: >>>>> [4982.203779156002, 11.255026607550992, 0.2720304196851549, 60.73479153682152, 11.025929196734955, 0] >>>>> [5147.005098703353, 12.853932722223327, 0, 93.29465025240606, 18.009953551484493, 2] >>>>> [5125.668200465645, 16.259555468824345, 1, 83.044040234723, 16.58594028060998, 1.589586656059795] >>>>> [5140.505649855228, 14.664045970554165, 0.9953958921180464, 84.57971004529573, 15.245108256792001, 0.9900344862203928] pyelectro >>> WARNING PPTD failure Fitness: 0.04480837310630681 pyelectro >>> WARNING PPTD failure Fitness: 0.03792091136831366 pyelectro >>> WARNING PPTD failure Fitness: 0.025142687122583718 pyelectro >>> WARNING PPTD failure Fitness: 0.01564415718984169 >>>>> Evaluating: >>>>> [5220.319697529598, 14.099852776958873, 0.9666580054256287, 122.28751125716833, 7.860633573291281, 2] >>>>> [5147.621578951878, 14.636749137177237, 0.9968688897169358, 180.84586562345754, 12.056701886967772, 1.203914643255089] >>>>> [5189.394899514473, 12.31883595964493, 0.4508683256682398, 95.1416440228788, 8.750208155932553, 0.22310715552414906] >>>>> [4950.1548332643215, 13.188905019739046, 0.828448500661641, 89.10505191042658, 7.387203506311404, 1.1836636152965425] pyelectro >>> WARNING PPTD failure Fitness: 0.04699389072700022 pyelectro >>> WARNING PPTD failure Fitness: 0.006390876889142638 pyelectro >>> WARNING PPTD failure Fitness: 0.032887448174398926 pyelectro >>> WARNING PPTD failure Fitness: 0.8815941619985754 >>>>> Evaluating: >>>>> [5205.597779420356, 14.716836690835155, 0, 60.486082037722745, 15.748798075561433, 0.7214494600674258] >>>>> [5190.533118410236, 13.562617954295334, 0, 7.928664424375298, 16.645932779965626, 0.6118621639605726]Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 >>>>> [4164.45696523854, 16.765911641633707, 0.5997087680461631, 150.34376101900412, 13.591436711228582, 0.5637861087738992] >>>>> [3400.1083541396965, 14.04167265422863, 0.7030031712116978, 141.44232916672044, 18.15762967684153, 0.4884061408197196] pyelectro >>> WARNING PPTD failure Fitness: 0.028083130099241238 pyelectro >>> WARNING PPTD failure Fitness: 0.02363527212023675 pyelectro >>> WARNING PPTD failure Fitness: 0.027693133926417257 pyelectro >>> WARNING PPTD failure Fitness: 0.08461064120833806 >>>>> Evaluating: >>>>> [4486.0298415799125, 13.269815887104148, 0.23238711937520307, 80.46887223717025, 7.900358297195485, 0.13089940788318635] >>>>> [4546.058005691924, 12.437393826066307, 0.35777142584491095, 91.40917396799743, 11.261804577535973, 0.06560615783720447] >>>>> [4303.9139225732515, 15.692556992854417, 0.2543382768192006, 134.33957658743168, 14.426630848378833, 0] >>>>> [4189.631191057949, 14.582464523959207, 0, 108.13744472349612, 11.796435908560678, 0.5209791985608758] pyelectro >>> WARNING PPTD failure Fitness: 0.03490517987757491 pyelectro >>> WARNING PPTD failure Fitness: 0.043097734857244774 pyelectro >>> WARNING PPTD failure Fitness: 0.029025928469369022 pyelectro >>> WARNING PPTD failure Fitness: 0.027108301205399088 >>>>> Evaluating: >>>>> [5119.70495603671, 14.444972189215505, 0, 82.28864906868975, 16.837511552125374, 0.9392331344392428] >>>>> [5120.035711682326, 14.151264613342697, 1, 82.28864906868975, 16.837511552125374, 2] >>>>> [4833.053600316209, 14.046077069689169, 1, 114.22243892774485, 6.778681693616338, 0.7493311899417826] >>>>> [5099.174103476222, 12.29018408499048, 0, 143.6768696002056, 6.965151298583884, 0.4446472412058774] pyelectro >>> WARNING PPTD failure Fitness: 0.0175935754078691 pyelectro >>> WARNING PPTD failure Fitness: 0.031434985002539384 pyelectro >>> WARNING PPTD failure Fitness: 0.013308181550770182 pyelectro >>> WARNING PPTD failure Fitness: 0.02151145959884826 >>>>> Evaluating: >>>>> [4833.053600316209, 14.6229278117388, 1.0, 114.22243892774485, 6.778681693616338, 0] >>>>> [4833.053600316209, 14.046077069689169, 1, 113.62875864551107, 7.25951303470892, 0.28422969649929286] >>>>> [5131.100314297086, 14.687022266760113, 0, 43.80789911980284, 12.906864367310925, 0.9810018798912747] >>>>> [5161.689945280738, 13.978365452813613, 0.5383276048474095, 70.71052459177596, 15.619856129872357, 0.5195880586574942] pyelectro >>> WARNING PPTD failure Fitness: 0.10088545497147083 pyelectro >>> WARNING PPTD failure Fitness: 0.02669317822877848 pyelectro >>> WARNING PPTD failure Fitness: 0.02333813544099317 pyelectro >>> WARNING PPTD failure Fitness: 0.02559465066004396 >>>>> Evaluating: >>>>> [5003.090114607777, 15.264687591252812, 0.5945307974994319, 148.4817207396074, 18.622902546465216, 0.938149306372415] >>>>> [4704.779225804327, 15.41773712301387, 0.7287791257932512, 107.09984004504861, 19.25026177874146, 0.936352807305754] >>>>> [4400.772773520991, 16.66790108704366, 0.37593567040457054, 119.57320714053914, 16.95742985079124, 0.11042623045019506] >>>>> [4661.320939818316, 15.529822361951274, 1, 159.12280230084608, 18.201587579530138, 0.5170889796670769] pyelectro >>> WARNING PPTD failure Fitness: 0.045387987094542614 pyelectro >>> WARNING PPTD failure Fitness: 0.02515963892540618 pyelectro >>> WARNING PPTD failure Fitness: 0.025058652541568915 pyelectro >>> WARNING PPTD failure Fitness: 0.02609019474956875 >>>>> Evaluating: >>>>> [4990.235585010381, 14.683752596635422, 0.9973389697401748, 110.87830992492722, 9.702358440534615, 0.9154445786420535] >>>>> [5093.100375589373, 13.790293326375707, 0.23735082986448186, 89.85384956352776, 6.526046744388963, 0.9698208688696088] >>>>> [4965.683302994379, 15.699866621005611, 0, 0, 7.011347021062026, 1.4269629341646812] >>>>> [4812.222383432559, 13.765293790430428, 0.21639368706015677, 0.8007697957531402, 9.798246223298035, 1.3893235745975812] pyelectro >>> WARNING PPTD failure Fitness: 0.00923548683154607 pyelectro >>> WARNING PPTD failure Fitness: 0.03445368525300052 pyelectro >>> WARNING PPTD failure Fitness: 0.015164627519818286 pyelectro >>> WARNING PPTD failure Fitness: 0.007212233793243761 >>>>> Evaluating: >>>>> [4487.865300958011, 16.000369664878527, 0.6125152867284317, 108.24088419360774, 13.4532977900382, 1.5554252792595757] >>>>> [4515.278045475149, 13.345665406735627, 0.899423927745187, 214.16352915088214, 11.764204662967684, 0.6734825301037908] >>>>> [4877.20398728867, 12.46931746050059, 0, 0, 15.510369067483381, 1.5265873204683817] >>>>> [4958.541588933855, 11.90908861403382, 0.21978598200838273, 9.69212627815693, 9.27931676484936, 1.6382034105692342] pyelectro >>> WARNING PPTD failure Fitness: 0.027011503118163804 pyelectro >>> WARNING PPTD failure Fitness: 0.010050806836522708 pyelectro >>> WARNING PPTD failure Fitness: 0.02797214228048628 pyelectro >>> WARNING PPTD failure Fitness: 0.010682746971107049 >>>>> Evaluating: >>>>> [5008.346814272876, 14.464838185907082, 0.6797593360536882, 22.09062135896826, 17.230635192202037, 1.055282680401516] >>>>> [4528.216110663964, 12.850204264444425, 0.41584285474389127, 75.63639695940677, 16.511384215893898, 1.4341452491714977] >>>>> [4797.28057193856, 15.440669535908885, 0.008417586335661129, 25.193135145405883, 8.952674773622551, 1.7925538458754895] >>>>> [4502.208047001753, 15.838276436051043, 0, 102.68837999198433, 10.413884256244907, 0.6527903905600433] pyelectro >>> WARNING PPTD failure Fitness: 0.030535080975458095 pyelectro >>> WARNING PPTD failure Fitness: 0.022148939537239953 pyelectro >>> WARNING PPTD failure Fitness: 0.04714928113239247 pyelectro >>> WARNING PPTD failure Fitness: 0.03145789513343311 >>>>> Evaluating: >>>>> [5248.807300917658, 15.011203447150494, 0.5905670504296228, 51.41105588088878, 8.842453017361885, 1.6068360205230312] >>>>> [5105.50730322041, 12.332114005259722, 0.6888225690669709, 129.43371417146497, 7.662734773371878, 0] >>>>> [5036.622875478458, 16.384421955062244, 1, 84.77754167284368, 8.115421908026276, 0.753058123696724] >>>>> [4820.414108112178, 14.427967068307009, 0, 82.01424424955732, 16.950967996077424, 0.8851228964599609] pyelectro >>> WARNING PPTD failure Fitness: 0.01144490156660316 pyelectro >>> WARNING PPTD failure Fitness: 0.036217139511041885 pyelectro >>> WARNING PPTD failure Fitness: 0.035621691230348085 pyelectro >>> WARNING PPTD failure Fitness: 0.023701249549771264 >>>>> Evaluating: >>>>> [5057.168747047382, 15.116297893201336, 0.9959644498319487, 108.44704919710315, 13.829084665290733, 0.7874155690314076] >>>>> [5079.117496842361, 14.666864350589577, 0.9966746005630127, 86.77075321510748, 10.088500987903549, 0.9158864888147035] >>>>> [4855.963137909505, 15.273692378956307, 1, 114.14693085898301, 9.12280087356519, 0.9728194412505852] >>>>> [4908.065515613807, 15.351604668362777, 0.9975788096611165, 112.98870247900987, 8.741071589785292, 1.3401615537058928] pyelectro >>> WARNING PPTD failure Fitness: 0.016431968265163133 pyelectro >>> WARNING PPTD failure Fitness: 0.006121434379205537 pyelectro >>> WARNING PPTD failure Fitness: 0.005643808809893569 pyelectro >>> WARNING PPTD failure Fitness: 0.9297609950347353 >>>>> Evaluating: >>>>> [5122.782879399561, 15.917687017765068, 0, 50.06505286879522, 8.844862468763003, 0.4958608728615742] >>>>> [5065.57029419879, 16.066492519805205, 0.07084776876725153, 46.58365531851828, 10.0549305371657, 1.6414566016319405] >>>>> [5016.2078102578835, 15.484338431532462, 0.6642417608890085, 87.03681289833192, 14.717716312428099, 1.1367924402209306] >>>>> [5081.681053501718, 14.407927104813053, 0.8021633483371324, 87.9537026660556, 10.40897400082807, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.04268350793802589 pyelectro >>> WARNING PPTD failure Fitness: 0.014803448651400375 pyelectro >>> WARNING PPTD failure Fitness: 0.03494935366754026 pyelectro >>> WARNING PPTD failure Fitness: 0.01950627628295787 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 >>>>> Evaluating: >>>>> [4587.600477966463, 15.682371508601456, 0.6664766506594761, 209.30139938108658, 13.765474321545069, 1.4505512166037637] >>>>> [4611.7598644868185, 14.525447872121974, 0, 196.5136773915603, 9.394054303462886, 1.3620647582057517] >>>>> [4623.711838530783, 15.751465590077796, 0.038973853975677736, 30.412511535241535, 9.747270228607693, 0] >>>>> [4595.167730751609, 13.484916939782199, 0.9101639859704579, 232.15188556023787, 9.405697187676314, 1.500013248001872] pyelectro >>> WARNING PPTD failure Fitness: 0.00832932334007852 pyelectro >>> WARNING PPTD failure Fitness: 0.014801872781757486 pyelectro >>> WARNING PPTD failure Fitness: 0.033726349919725784 pyelectro >>> WARNING PPTD failure Fitness: 0.009154933129296494 >>>>> Evaluating: >>>>> [5038.317827336063, 13.423620548460956, 0.9968564773755093, 95.52395155910439, 10.516170193628875, 0.45885242885629585] >>>>> [5028.688765765247, 14.680371235826243, 1, 91.55176188143611, 10.52674568638664, 0.9155187591174729] >>>>> [4630.27128806095, 14.828437903393242, 0.5133389228340466, 202.65303756180066, 13.652592759144058, 1.8361358209446934] >>>>> [4613.5254278760885, 15.042277567071682, 0.7666982483173364, 123.08230644815156, 12.486663641414863, 0] pyelectro >>> WARNING PPTD failure Fitness: 0.029374715435311227 pyelectro >>> WARNING PPTD failure Fitness: 0.006839688665278065 pyelectro >>> WARNING PPTD failure Fitness: 0.06140546822999626 pyelectro >>> WARNING PPTD failure Fitness: 0.029106470741740886 >>>>> Evaluating: >>>>> [5098.815032289113, 14.874474331471086, 0.9988481677797716, 109.02591749305587, 9.31421965579668, 2] >>>>> [4932.800137459521, 15.093011878866546, 0.9971306476957396, 90.92149041253757, 11.498797019336878, 0.9883026086423085] >>>>> [4987.905381678612, 14.135534587512742, 0, 108.1851908898263, 6.086696942745444, 2] >>>>> [4844.063654049553, 16.048271003786507, 0.9972853009434368, 113.13981646217792, 12.334344691724965, 0.7840227088601075] pyelectro >>> WARNING PPTD failure Fitness: 0.040794198883358335 pyelectro >>> WARNING PPTD failure Fitness: 0.009363767354723329 pyelectro >>> WARNING PPTD failure Fitness: 0.027086670113020017 pyelectro >>> WARNING PPTD failure Fitness: 0.025797412248611873 >>>>> Evaluating: >>>>> [5134.054123773236, 14.206187419583424, 0.26577565152326876, 121.99848093068329, 9.942939241684552, 1.052382516273463] >>>>> [5023.065991628575, 14.406012797722571, 0.9993637866516892, 184.67877516176057, 11.996844498110926, 1.9628850343293829] >>>>> [4755.891802434208, 13.846113427637523, 0.2242639556652794, 172.97307215446864, 10.374328886599063, 1.3834051607804112] >>>>> [4664.605905607989, 13.748595306194225, 0, 171.52724189992225, 7.840043346039446, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.012527977562211579 pyelectro >>> WARNING PPTD failure Fitness: 0.00793403242962365 pyelectro >>> WARNING PPTD failure Fitness: 0.028620231865899015 pyelectro >>> WARNING PPTD failure Fitness: 0.02469193219619159 >>>>> Evaluating: >>>>> [4941.966762817335, 14.895334584717038, 1, 168.5320055553977, 8.821099137667371, 1.1488717293294581] >>>>> [4699.443930044606, 14.645365157661052, 1, 211.99372860648674, 11.919370723971493, 1.4695586882575116] >>>>> [4624.35022060672, 15.045251657393155, 0, 128.505926551459, 9.87966656944321, 2] >>>>> [4959.847920928525, 13.613378955452704, 0, 162.23819838142006, 12.14698631107554, 1.3007939370798467] pyelectro >>> WARNING PPTD failure Fitness: 0.009875665186960036 pyelectro >>> WARNING PPTD failure Fitness: 0.008878249908487401 pyelectro >>> WARNING PPTD failure Fitness: 0.016619486299186526 pyelectro >>> WARNING PPTD failure Fitness: 0.024161911945087766 >>>>> Evaluating: >>>>> [4965.852110010165, 13.784329804216407, 0.3404633068609538, 41.756933940722696, 10.442077378685767, 1.131071938941079] >>>>> [5024.103602392945, 13.881396431636936, 0.5360524817323075, 31.558448897420035, 10.227061507951733, 1.0732947242808968] >>>>> [5036.071678024081, 14.674502843435544, 0.9980047254577951, 89.22447610351536, 10.1075075926929, 1.2877920603843067] >>>>> [5069.204383658986, 15.538448626267865, 0.9975114818868721, 87.89494469450523, 10.905696334131393, 1.0017739758363127] pyelectro >>> WARNING PPTD failure Fitness: 0.008637787000768782 pyelectro >>> WARNING PPTD failure Fitness: 0.014875667947486071 pyelectro >>> WARNING PPTD failure Fitness: 0.046222282605520304 pyelectro >>> WARNING PPTD failure Fitness: 0.009864702819274762 >>>>> Evaluating: >>>>> [4693.24755749278, 14.72715432785266, 0.8453001057429889, 213.4894035323416, 11.219281718297792, 2] >>>>> [4640.87909890382, 15.800314907109756, 1, 217.93630039056538, 13.292070353913939, 2] >>>>> [5113.9381448691765, 15.298089890842304, 1, 159.41180958211868, 8.370357941642386, 2] >>>>> [5023.664354520133, 13.942905792858763, 1, 81.60396110051772, 11.286432164755652, 1.1214878027783417] pyelectro >>> WARNING PPTD failure Fitness: 0.004075801073514129 pyelectro >>> WARNING PPTD failure Fitness: 0.03055127918558498 pyelectro >>> WARNING PPTD failure Fitness: 0.022594938461032665 pyelectro >>> WARNING PPTD failure Fitness: 0.007473943967248209 >>>>> Evaluating: >>>>> [4990.235585010381, 14.831457116633638, 0.9973389697401748, 110.87830992492722, 9.702358440534615, 0.9154445786420535] >>>>> [4989.737401546519, 13.801942819802717, 1, 110.515840538379, 9.698294481104018, 0.9154445786420535] >>>>> [5245.7935678822605, 14.97941351477678, 0, 131.42408836809068, 8.832106835448503, 1.5006748134611185] >>>>> [5139.982605981185, 15.000476921040885, 0.21622574777482673, 172.28302937081742, 9.273962533419274, 1.5023486770779089] pyelectro >>> WARNING PPTD failure Fitness: 0.02429872583845971 pyelectro >>> WARNING PPTD failure Fitness: 0.05995222385576382 pyelectro >>> WARNING PPTD failure Fitness: 0.08028457319132765 pyelectro >>> WARNING PPTD failure Fitness: 0.013523911680900835 >>>>> Evaluating: >>>>> [4930.6726557384345, 13.668006536477705, 0.9936176531809955, 185.18482495116456, 10.260526220572487, 1.694924605840181] >>>>> [4644.336162981595, 13.498287070972554, 0, 109.3899036442686, 9.818616802830299, 1.1227565686496268] >>>>> [4721.0131892115305, 14.567404108465238, 0, 102.85933917829918, 10.01817146263512, 0.8007325839430586] >>>>> [4651.6307007070145, 14.79645114058279, 0.9668676600731141, 180.4885222880836, 11.279159324067598, 0.6806794248327644] pyelectro >>> WARNING PPTD failure Fitness: 0.03221511017120393 pyelectro >>> WARNING PPTD failure Fitness: 0.018322763685785004 pyelectro >>> WARNING PPTD failure Fitness: 0.040943996805131166 pyelectro >>> WARNING PPTD failure Fitness: 0.012826300347521524 >>>>> Evaluating: >>>>> [4554.331868787881, 13.066393443831855, 1, 217.96976933507233, 11.5182434921926, 1.429658581184302] >>>>> [4540.939966540069, 15.421436972075373, 0.9970020040848947, 221.67847265562858, 10.576536085381429, 0.5440191591617077] >>>>> [4832.90029294638, 16.2740725324847, 1, 155.94442773293247, 9.760618734243183, 1.6125409645875572] >>>>> [4860.251656172832, 15.21614705828414, 1.0, 105.58597004316456, 9.001798305255962, 1.1974813015193448] pyelectro >>> WARNING PPTD failure Fitness: 0.029432085606655445 pyelectro >>> WARNING PPTD failure Fitness: 0.018424212139801166 pyelectro >>> WARNING PPTD failure Fitness: 0.017643859672635376 pyelectro >>> WARNING PPTD failure Fitness: 0.018055853134579025 >>>>> Evaluating: >>>>> [4866.703659595175, 16.485345165282297, 0, 103.85777432636401, 9.319953396787776, 0.9156718084147635] >>>>> [5005.142552746187, 14.417983916227215, 1, 110.23828265547331, 9.687527003466371, 0.753606282348545] >>>>> [4647.377224015121, 15.454237444985205, 0.42152377849293776, 171.54034008618083, 12.690565919874292, 1.462955722343407] >>>>> [4588.567957393919, 14.878400298690648, 0, 107.32557326013601, 11.192198141815412, 1.1788566592492828] pyelectro >>> WARNING PPTD failure Fitness: 0.011665853168590923 pyelectro >>> WARNING PPTD failureSingle spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Fitness: 0.015218829032886405 pyelectro >>> WARNING PPTD failure Fitness: 0.02520031214370566 pyelectro >>> WARNING PPTD failure Fitness: 0.022128491924111704 >>>>> Evaluating: >>>>> [4870.27587118081, 12.642098227017703, 0, 82.18012019908433, 8.854221175950212, 0] >>>>> [4948.4028525024905, 15.212180625948497, 0.45239371911130033, 33.33433940834094, 9.281892715655564, 0.6800749671587999] >>>>> [5024.682071887821, 14.695653168504373, 1, 76.39361632881004, 9.802588210304902, 1.3181056602617396] >>>>> [5024.126027813968, 14.38168931868449, 1, 88.5326849129938, 11.561905914619164, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.02887430917598066 pyelectro >>> WARNING PPTD failure Fitness: 0.06043012959300986 pyelectro >>> WARNING PPTD failure Fitness: 0.02580551414106691 pyelectro >>> WARNING PPTD failure Fitness: 0.008389586916058844 >>>>> Evaluating: >>>>> [4975.07599382971, 13.867746638151623, 1, 50.099250019850246, 12.619772586932989, 2] >>>>> [4964.166650039118, 14.262211907705842, 0.2904253661135397, 67.87545085313653, 11.585342790233337, 1.0430639868576008] >>>>> [4840.82437503336, 12.059211343014365, 0.7913603429159459, 8.99571490220912, 9.786291671832414, 0.7126460072318999] >>>>> [4971.34869528834, 14.872694900995832, 0, 1.6236908886985582, 9.840954075707058, 1.4225936371782688] pyelectro >>> WARNING PPTD failure Fitness: 0.020464895570497688 pyelectro >>> WARNING PPTD failure Fitness: 0.010907502346478748 pyelectro >>> WARNING PPTD failure Fitness: 0.010753462824400817 pyelectro >>> WARNING PPTD failure Fitness: 0.010406474470726512 >>>>> Evaluating: >>>>> [4888.649635638307, 14.777169885033894, 1, 25.35324884444261, 11.328602500894382, 1.591913803117798] >>>>> [4826.871332550285, 13.573125535948206, 1, 95.75652846281841, 10.852633364342012, 1.121784426603253] >>>>> [5066.261640920741, 16.42069810064041, 0.9680513972683804, 194.41953287294592, 10.493139743712517, 2] >>>>> [5008.869565119908, 14.66242764358863, 0, 225.49539575834837, 11.201854592077106, 1.329957474946243] pyelectro >>> WARNING PPTD failure Fitness: 0.023209333283079614 pyelectro >>> WARNING PPTD failure Fitness: 0.011131581901969612 pyelectro >>> WARNING PPTD failure Fitness: 0.006594586479839681 pyelectro >>> WARNING PPTD failure Fitness: 0.03707387394667738 >>>>> Evaluating: >>>>> [4975.999399863413, 15.281500793015427, 0.9665068749679403, 183.8773575632096, 11.697125321384325, 1.8537331576201208] >>>>> [5024.856904826075, 14.925187578626947, 0, 188.44494217803947, 10.666930822378552, 1.4439302664587688] >>>>> [4613.198083717285, 14.269834443647618, 1.0, 150.07574974930543, 9.717609057649009, 0.7364751024723651] >>>>> [4540.321398273253, 15.657822333511083, 1.0, 213.46226226236524, 9.534244687109027, 0.9608147117134743] pyelectro >>> WARNING PPTD failure Fitness: 0.020977285222772202 pyelectro >>> WARNING PPTD failure Fitness: 0.07665092626753789 pyelectro >>> WARNING PPTD failure Fitness: 0.035640433371951774 pyelectro >>> WARNING PPTD failure Fitness: 0.018653684253445713 >>>>> Evaluating: >>>>> [5023.801247390696, 13.951145884093117, 1, 107.36871728748694, 11.72616468827617, 1.2622321178431497] >>>>> [5023.386821141919, 14.394835783268196, 1, 92.68973147726702, 11.412770944331422, 1.244111102214458] >>>>> [4988.454506711983, 13.929945154246619, 0.5624762558729, 97.85827476502739, 9.017345514039688, 0.9752091268509916] >>>>> [4850.232076727715, 15.371712860154616, 1.0, 87.7879875137094, 10.240839858503593, 1.12239107944683] pyelectro >>> WARNING PPTD failure Fitness: 0.025941593640071203 pyelectro >>> WARNING PPTD failure Fitness: 0.01870563947430348 pyelectro >>> WARNING PPTD failure Fitness: 0.007058421184364838 pyelectro >>> WARNING PPTD failure Fitness: 0.08526197993861606 >>>>> Evaluating: >>>>> [4748.400777130587, 15.06752233297447, 0.8820449661464143, 210.99140338139517, 12.179857285076723, 0.12734987551919286] >>>>> [5052.255902879566, 15.13368638904527, 0.6716420049050255, 151.44787540423096, 11.383656846453373, 0.19568810718000162] >>>>> [4772.51829095684, 14.598979202470343, 0.23422467365045796, 202.7333895715848, 12.203246468250583, 1.9162946830832073] >>>>> [4835.450254678125, 15.505361827739875, 0.9972196344046084, 187.5121206022221, 10.722771931743708, 1.1662235469976623] pyelectro >>> WARNING PPTD failure Fitness: 0.055702441458527874 pyelectro >>> WARNING PPTD failure Fitness: 0.030590079043246066 pyelectro >>> WARNING PPTD failure Fitness: 0.03395472148696688 pyelectro >>> WARNING PPTD failure Fitness: 0.006416516415855278 >>>>> Evaluating: >>>>> [4566.751958693897, 15.582070116536489, 1, 223.57304865552294, 13.30264254779016, 1.5909696534311901] >>>>> [4558.423471455703, 15.162038976994792, 0, 222.59819271897453, 13.073378352529996, 0.8919765640530083] >>>>> [4874.600369204026, 13.936398282668344, 1, 183.06899982288718, 12.307383799473092, 1.3546894141944295] >>>>> [4962.122158136522, 16.265435966888422, 0.9996665860566452, 130.4990358275465, 9.376025490319375, 1.130334921577535] pyelectro >>> WARNING PPTD failure Fitness: 0.0235766918181034 pyelectro >>> WARNING PPTD failure Fitness: 0.022383513371608044 pyelectro >>> WARNING PPTD failure Fitness: 0.005749226735470292 pyelectro >>> WARNING PPTD failure Fitness: 0.02738301995923098 >>>>> Evaluating: >>>>> [4877.475551646979, 14.99111280669617, 0, 169.3304431764687, 11.706931041667353, 2] >>>>> [4756.373938958959, 14.437108522080589, 0.9974969404954673, 80.09132131690312, 10.900335470665793, 1.0293301327095317] >>>>> [5144.035500621866, 13.406456651962685, 0, 131.30188770662193, 11.716477123337011, 2] >>>>> [5094.832545318996, 13.622314327334532, 1, 130.90019851485357, 12.311748509497493, 1.5924759881029065] pyelectro >>> WARNING PPTD failure Fitness: 0.03158115847611387 pyelectro >>> WARNING PPTD failure Fitness: 0.04817805084937532 pyelectro >>> WARNING PPTD failure Fitness: 0.012174077981137454 pyelectro >>> WARNING PPTD failure Fitness: 0.011360601655571845 >>>>> Evaluating: >>>>> [4954.118177114679, 15.912107903963854, 0.8579378768513558, 175.3940538541504, 7.97192231121999, 1.5797541239407398] >>>>> [5000.0695614436445, 16.30634227012059, 0.9828166736084647, 135.96534676461033, 9.54958516599676, 1.510161690519826] >>>>> [4560.970407953781, 12.193503059988524, 0.8058273941115376, 204.4193491621041, 12.813487004123878, 1.3512902665214472] >>>>> [4776.064918195478, 14.353715456785604, 1, 200.42840411833023, 14.426781108181656, 1.7941845121724915] pyelectro >>> WARNING PPTD failure Fitness: 0.00698143361929382 pyelectro >>> WARNING PPTD failure Fitness: 0.052523731822083364 pyelectro >>> WARNING PPTD failure Fitness: 0.01773156122304209 pyelectro >>> WARNING PPTD failure Fitness: 0.06516691899420701 >>>>> Evaluating: >>>>> [4892.4856701550525, 16.3027028510435, 1, 183.29234059953495, 11.325899285380702, 1.9693357559307683] >>>>> [4994.942428935348, 15.3482452158658, 0.9842951566597961, 184.842244993061, 10.809586278016507, 2] >>>>> [5075.634340032554, 14.457187366141714, 0.9969867793578703, 130.30920773632351, 8.98394746585398, 1.1825462766299806] >>>>> [5078.789190614532, 14.465742197992531, 0.999618208119343, 108.30396702988183, 10.780643817267503, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.05026167403338888 pyelectro >>> WARNING PPTD failure Fitness: 0.020511980213965053 pyelectro >>> WARNING PPTD failure Fitness: 0.04618140110060709 pyelectro >>> WARNING PPTD failure Fitness: 0.02789737637711598 >>>>> Evaluating: >>>>> [4961.862847395099, 13.883854362531563, 0.384484922176201, 181.1177187332949, 10.474623220623945, 1.7199429211951078] >>>>> [4971.098668145448, 14.454141803709502, 0.9983860038372825, 182.64053573898167, 12.096377761220804, 1.4913620232853448] >>>>> [4961.057603741776, 14.240595459822474, 0.7957981127987224, 149.9826857371574, 9.989637964073708, 1.6368284913466817] >>>>> [4744.07567565144, 13.987266022628187, 1, 184.0328422411337, 9.416971200535858, 1.506188366684452]Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 pyelectro >>> WARNING PPTD failure Fitness: 0.023406521730015117 pyelectro >>> WARNING PPTD failure Fitness: 0.02100457145747292 pyelectro >>> WARNING PPTD failure Fitness: 0.0066536420645790795 pyelectro >>> WARNING PPTD failure Fitness: 0.056376952392191204 >>>>> Evaluating: >>>>> [5038.043261966922, 14.459155397266438, 0.5549873014059812, 42.307367718363246, 10.896989379329153, 1.5064289192208071] >>>>> [5058.102744602893, 14.592015028885719, 0.946183357061158, 63.207851559736426, 10.442198337368447, 1.0016353887172273] >>>>> [4568.926214647929, 15.928158387569457, 1, 216.32371424559656, 10.123646216684856, 1.7999969057125569] >>>>> [4652.736381800882, 15.432378774286672, 0.8438607305639808, 218.48785252068598, 11.139521961301275, 1.7135416772001746] pyelectro >>> WARNING PPTD failure Fitness: 0.02071995806472804 pyelectro >>> WARNING PPTD failure Fitness: 0.029264803406378492 pyelectro >>> WARNING PPTD failure Fitness: 0.007905242130912926 pyelectro >>> WARNING PPTD failure Fitness: 0.02288952273932121 >>>>> Evaluating: >>>>> [4698.714268230858, 13.150210710557372, 0.5172550240820007, 215.05308056894089, 11.730703603214462, 2] >>>>> [4739.633175646111, 14.639825012196123, 0.8716962605090696, 203.85490902162684, 11.361750169343916, 1.9682775747745938] >>>>> [4858.486938512831, 13.943767690309597, 0.9958862397312572, 123.94202005737654, 8.533012142583072, 1.746029261577024] >>>>> [4742.395664994532, 13.535802422854463, 0.5658650681754602, 171.7707193561139, 12.059068871375668, 1.1916289519480383] pyelectro >>> WARNING PPTD failure Fitness: 0.006145557273749103 pyelectro >>> WARNING PPTD failure Fitness: 0.019557637634441072 pyelectro >>> WARNING PPTD failure Fitness: 0.0242156464530906 pyelectro >>> WARNING PPTD failure Fitness: 0.01817599478030718 >>>>> Evaluating: >>>>> [5023.261426120143, 13.568325191251512, 0.9996296957017352, 114.07762731899079, 11.652158180037842, 1.9370554219657823] >>>>> [5023.728100223572, 14.100908839284507, 0.9993735492050136, 191.00554257782588, 11.671289033821171, 2] >>>>> [4696.485475240436, 12.117638916308, 0.7805970871489563, 169.40046712360035, 10.826664808883908, 1.724176076615731] >>>>> [4762.602442675093, 14.549315649272344, 0.5730627598979294, 214.38565964369377, 10.269581626003388, 1.3162371094242455] pyelectro >>> WARNING PPTD failure Fitness: 0.04679803587450326 pyelectro >>> WARNING PPTD failure Fitness: 1.0161708522200055 pyelectro >>> WARNING PPTD failure Fitness: 0.041793880997329946 pyelectro >>> WARNING PPTD failure Fitness: 0.014754487052202725 >>>>> Evaluating: >>>>> [4977.043273427821, 12.889441951581786, 1, 104.66418992673336, 10.619049247886226, 2] >>>>> [5011.732932418571, 14.305993920062946, 0.8185483188756626, 140.54489848359643, 9.922292642446896, 0.3028149313208808] >>>>> [4860.749709849799, 14.15771258892901, 1, 140.32107430967235, 10.893146464890446, 1.1747934984103863] >>>>> [4994.060920066787, 16.490297611325644, 1.0, 138.50419933944224, 11.978279597203857, 1.4475367241236803] pyelectro >>> WARNING PPTD failure Fitness: 0.014701519298004007 pyelectro >>> WARNING PPTD failure Fitness: 0.012340968927529006 pyelectro >>> WARNING PPTD failure Fitness: 0.020948312611469122 pyelectro >>> WARNING PPTD failure Fitness: 0.06637716194348464 >>>>> Evaluating: >>>>> [4991.33004458477, 16.443645568329757, 0.9810597383161302, 186.81799953866985, 10.867392803012796, 0] >>>>> [4922.476238587567, 16.410429662342743, 1, 190.0713682224382, 10.559277919268967, 0.027549964030485263] >>>>> [5003.867750601719, 14.807066329264462, 0.7513210823139276, 131.04853025899413, 11.908378770138112, 1.941031326793928] >>>>> [4979.494948848054, 14.392864980026205, 0.8445460833871133, 86.23370115909123, 10.747124594701763, 1.8490639657498962] pyelectro >>> WARNING PPTD failure Fitness: 0.02516923902506396 pyelectro >>> WARNING PPTD failure Fitness: 0.022131110050063185 pyelectro >>> WARNING PPTD failure Fitness: 0.026666808997202085 pyelectro >>> WARNING PPTD failure Fitness: 0.011282329463966456 >>>>> Evaluating: >>>>> [4711.742974770789, 15.910996067532695, 0.1383597444245196, 223.5653314804473, 9.990165759076811, 1.1693088892833] >>>>> [4941.655459098038, 15.478249615570236, 0.9316171348613312, 194.06072050967745, 12.071284564653642, 1.1755760380952482] >>>>> [4582.439658396674, 14.953049693159794, 0, 227.16197380317325, 10.358878088166287, 1.5229639913298294] >>>>> [4690.485385924033, 15.661037872049977, 1.0, 220.86888025880003, 11.860693255007265, 1.8819757110919473] pyelectro >>> WARNING PPTD failure Fitness: 0.007533901866728643 pyelectro >>> WARNING PPTD failure Fitness: 0.03577540567976423 pyelectro >>> WARNING PPTD failure Fitness: 0.05188171840941347 pyelectro >>> WARNING PPTD failure Fitness: 0.03759903820602006 >>>>> Evaluating: >>>>> [4919.575928108496, 14.04911705274457, 0.9966276963462195, 182.82063499938135, 12.796161229091323, 1.7935542271567209] >>>>> [5167.694396786819, 13.755018984210349, 0.5467245760903795, 181.1307151956428, 14.299253763417255, 0.9680883297531582] >>>>> [4713.00200989019, 13.43115948456788, 0.7526298411105057, 225.42099818446158, 11.699469743068308, 2] >>>>> [4703.210926063683, 15.960778960782928, 0.22585194656031748, 215.402463513496, 11.518601657705307, 1.3604759951791885] pyelectro >>> WARNING PPTD failure Fitness: 0.017646451402404617 pyelectro >>> WARNING PPTD failure Fitness: 0.015715146723141116 pyelectro >>> WARNING PPTD failure Fitness: 0.021554214095806046 pyelectro >>> WARNING PPTD failure Fitness: 0.07013858823941999 >>>>> Evaluating: >>>>> [5053.3733506123335, 16.246478760967257, 0.9135830595482513, 172.84657082325293, 9.750940793567732, 1.430161731311067] >>>>> [5019.972626457791, 15.051830025231318, 0.9050912328113891, 177.85574761582419, 10.915497734113277, 0.5470579285771852] >>>>> [4793.022211412969, 14.714284593774122, 0.9754162766167801, 211.155814160826, 9.942916007353384, 2.0] >>>>> [5093.777243809436, 17.12318163266004, 1, 207.37523063742483, 10.887133355871548, 0.800231368913382] pyelectro >>> WARNING PPTD failure Fitness: 0.009764155413922282 pyelectro >>> WARNING PPTD failure Fitness: 0.033938283750773124 pyelectro >>> WARNING PPTD failure Fitness: 0.016191718989411186 pyelectro >>> WARNING PPTD failure Fitness: 0.016926263102830297 >>>>> Evaluating: >>>>> [4768.54715826669, 15.662335468322578, 0.8442851759326819, 214.5462855990353, 11.50725324440626, 1.5625128090582514] >>>>> [4893.608666286581, 15.032097500092398, 0.8485703235772653, 184.7882209618373, 8.375127015245225, 1.8150051305528778] >>>>> [4873.4752450535325, 15.366818550587984, 0, 205.139547827858, 8.467197800107115, 0.9693610393108644] >>>>> [4927.064242913831, 15.91180369808978, 0.12314147537724082, 184.83306416401024, 8.593564415715388, 1.5397370134065895] pyelectro >>> WARNING PPTD failure Fitness: 0.027940971694811245 pyelectro >>> WARNING PPTD failure Fitness: 0.010096646985149671 pyelectro >>> WARNING PPTD failure Fitness: 0.03865867153841118 pyelectro >>> WARNING PPTD failure Fitness: 0.014628149550107383 >>>>> Evaluating: >>>>> [4796.544926122375, 13.88135414990863, 0.5287917893112852, 161.5514105082391, 10.010249560058666, 1.8212283704064354] >>>>> [5011.872734056522, 17.576557435978216, 0.9728422133645018, 129.50356346962894, 9.65740317605895, 0] >>>>> [4926.911298352428, 13.502008982178815, 0.4866344222802319, 72.57673082049547, 11.086627813090702, 1.1299585857634318] >>>>> [4942.22762878324, 14.10655956220864, 0.49071832775121693, 40.649373309578955, 11.691564527821978, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.061898406689800956 pyelectro >>> WARNING PPTD failure Fitness: 0.019699614924231446 pyelectro >>> WARNING PPTD failure Fitness: 0.02592612638166436 pyelectro >>> WARNING PPTD failure Fitness: 0.07606968207584797 >>>>> Evaluating: >>>>> [4764.555441517502, 14.26570065727054, 1, 81.68822550903417, 11.910339933497584, 1.046831360625832] >>>>> [4897.312352734605, 14.465158621950913, 0.9660617078517343, 84.6381628768135, 12.110113454246054, 0.8595368098368511] >>>>> [4618.82494618034, 15.824739775122792, 0, 216.39003051922302, 10.14096614138042, 1.6917728478063496] >>>>> [4699.805483652417, 14.729586620066403, 0.6211176251843923, 215.68401590355634, 10.643545482088367, 1.7208905096462368] pyelectro >>> WARNING PPTD failure Fitness: 0.018248601280184906 pyelectro >>> WARNING PPTD failure Fitness: 0.0170653285385306 pyelectro >>> WARNING PPTD failure Fitness: 0.013681406458789902 pyelectro >>> WARNING PPTD failure Fitness: 0.025358709372297783 >>>>> Evaluating: >>>>> [4961.834869279567, 15.80546172267735, 0.9071520030848725, 181.0432091110002, 9.800306182207576, 1.3885099045414777] >>>>> [5068.658122381323, 15.339622378683327, 0.6627374302820512, 179.70829776409772, 8.411433949865273, 2] >>>>> [5087.990656623825, 14.648472107037724, 1, 216.51210492127097, 11.402602482339514, 2] >>>>> [5173.397580319713, 16.065664883344613, 0.877524120939065, 201.8881638669374, 11.805732910336854, 1.9308269217153187] pyelectro >>> WARNING PPTD failure Fitness: 0.004207153099692884 pyelectro >>> WARNING PPTD failure Fitness: 0.004784446503179107 pyelectro >>> WARNING PPTD failure Fitness: 0.008466828711352958 pyelectro >>> WARNING PPTD failure Fitness: 0.0073289381161992795 >>>>> Evaluating: >>>>> [5031.277122684507, 15.378070927809484, 0.8246554140763134, 76.2948890306917, 9.671056339285656, 1.5347827558630849] >>>>> [4761.269294990896, 15.093292934192906, 1, 87.8958931785787, 9.818265998246941, 2] >>>>> [4676.238905877727, 15.008487748819844, 0.8701378206934646, 214.32827875732104, 11.262400393967663, 1.9417821676092397] >>>>> [4675.151594582746, 13.519856302702232, 0.969362494658259, 205.25106345604175, 10.470318086934462, 1.9552967622416344] pyelectro >>> WARNING PPTD failure Fitness: 0.018854501439703908 pyelectro >>> WARNING PPTD failure Fitness: 0.02033358041952238 pyelectro >>> WARNING PPTD failure Fitness: 0.011647310322102866 pyelectro >>> WARNING PPTD failure Fitness: 0.03885612244873693 >>>>> Evaluating: >>>>> [4885.994906947649, 14.498674762055527, 0.8889810735910275, 175.46126054102913, 9.203445208459389, 2] >>>>> [4914.706910933322, 14.590039959848113, 0.8673984975313981, 179.259678971852, 8.872485275888703, 1.5171898173903373] >>>>> [5083.350053194053, 15.32415650752221, 1, 196.30312917686086, 11.36269447321454, 1.630451150479197] >>>>> [5082.05799510026, 14.744972432087108, 0.7058347893266896, 178.01860239193235, 10.861187181678183, 1.6843852498106486] pyelectro >>> WARNING PPTD failure Fitness: 0.006028523726489654 pyelectro >>> WARNING PPTD failure Fitness: 0.012108064714404176 pyelectro >>> WARNING PPTD failure Fitness: 0.017745965671148833 pyelectro >>> WARNING PPTD failure Fitness: 0.003898621917611589 >>>>> Evaluating: >>>>> [4809.8545029463585, 14.498978374658384, 1, 87.9691558664589, 11.573133772349099, 2.0] >>>>> [4677.615141535988, 14.414717268191337, 0.9805427153754105, 145.4447974674142, 11.195573612033929, 2] >>>>> [5082.013845749802, 14.662738045569968, 0.8555520625161963, 90.08597484479463, 10.879623432789016, 2] >>>>> [5081.425376865245, 15.443654416699088, 1, 93.029967230455, 10.868599212354653, 1.1660977903273766] pyelectro >>> WARNING PPTD failure Fitness: 0.022944443504657297 pyelectro >>> WARNING PPTD failure Fitness: 0.05005963959557014 pyelectro >>> WARNING PPTD failure Fitness: 0.02128931761806352 pyelectro >>> WARNING PPTD failure Fitness: 0.026213609419782458 >>>>> Evaluating: >>>>> [5081.678439192982, 15.092604782786621, 1, 171.83878884742688, 10.626558015872995, 1.7087824670504619] >>>>> [5080.976478547357, 14.510504880784381, 0.6848922437698803, 127.63515246032117, 11.14383834959964, 1.7075786306332321] >>>>> [4644.244584897645, 14.61332051481749, 0.9999074854764178, 187.00063499972393, 11.267929169803715, 1.5675114860497072] >>>>> [4713.956642471048, 14.688107769638522, 0.6810733938478366, 200.36040404419364, 8.492481821612571, 1.8240741525429431] pyelectro >>> WARNING PPTD failure Fitness: 0.003692064626501401 pyelectro >>> WARNING PPTD failure Fitness: 0.007005559539509876 pyelectro >>> WARNING PPTD failure Fitness: 0.03559232971466231 pyelectro >>> WARNING PPTD failure Fitness: 0.9788215272727203 >>>>> Evaluating: >>>>> [4817.218730826975, 14.378279800817635, 0.9949007799073548, 210.37524248307892, 11.091395719749492, 1.4090539745254111] >>>>> [4852.231043663882, 13.579303080599898, 1, 153.50693052416224, 10.956684934985674, 1.485966002768258] >>>>> [5115.362751411711, 14.64511373736763, 0.9998538487072351, 177.15233192100243, 11.34979473972756, 0.35814253874062085] >>>>> [5135.836431311462, 14.737959505797019, 1, 178.87156690027822, 11.688950108280855, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.008452680304740556 pyelectro >>> WARNING PPTD failure Fitness: 0.03284413538390951 pyelectro >>> WARNING PPTD failure Fitness: 0.04169165622906146 pyelectro >>> WARNING PPTD failure Fitness: 0.02877153340630223 >>>>> Evaluating: >>>>> [4869.911046908048, 15.17928572027899, 1.0, 146.92269377421886, 9.387590727126897, 1.7338308259049402] >>>>> [4872.117378269815, 14.274832185388064, 1.0, 106.10480445551225, 9.21744095511437, 1.0753766411185988] >>>>> [5073.350974899693, 14.635997161172902, 0, 96.18028054254071, 10.076781756618567, 1.922986344716586] >>>>> [5070.615452457417, 16.017261226980875, 0.19047502529323845, 78.24726299940376, 8.891365684504702, 0.5430743117217915] pyelectro >>> WARNING PPTD failure Fitness: 0.05556261127649009 pyelectro >>> WARNING PPTD failure Fitness: 0.014470147508603648 pyelectro >>> WARNING PPTD failure Fitness: 0.015334898741944047 pyelectro >>> WARNING PPTD failure Fitness: 0.012486694254668085 >>>>> Evaluating: >>>>> [4930.121682356695, 14.218674329713123, 0.9612828535921496, 192.05598502249956, 13.852856913501363, 2] >>>>> [4814.473370065836, 13.088631928609031, 0.6896057669631521, 202.3031667003306, 11.374974398747192, 2] >>>>> [5079.829305745043, 14.893688524756552, 1, 169.46410503081037, 10.91754114860189, 0] >>>>> [5081.604982831986, 15.008191147722314, 0.7821490900292085, 148.9231109811541, 10.716459982042654, 1.707851953333083] pyelectro >>> WARNING PPTD failure Fitness: 0.008955208494316413 pyelectro >>> WARNING PPTD failure Fitness: 0.02832415592545856 pyelectro >>> WARNING PPTD failure Fitness: 0.03720054219870683 pyelectro >>> WARNING PPTD failure Fitness: 0.006314449041021408 >>>>> Evaluating: >>>>> [4870.152705359762, 15.345704284005741, 0.25723969654415557, 216.8283282683213, 11.178577371819921, 1.9908098526652755] >>>>> [4705.613548694159, 14.591576096258386, 0.5765263172655829, 196.68466012059324, 10.807613293583747, 1.9144527894849679] >>>>> [5081.3122722761045, 14.609728299037023, 0.908871477474358, 124.93066281374999, 9.903590616248362, 1.6573770695689962] >>>>> [5081.051136602297, 14.249099563044652, 0.716625332271504, 158.18935232032783, 8.657244524297399, 1.982991881571247] pyelectro >>> WARNING PPTD failure Fitness: 0.005023874743262158 pyelectro >>> WARNING PPTD failure Fitness: 0.023415396958214374 pyelectro >>> WARNING PPTD failure Fitness: 0.005019208823977439 pyelectro >>> WARNING PPTD failure Fitness: 0.04096260984669409 >>>>> Evaluating: >>>>> [4697.532018708938, 13.150210710557372, 0.5172550240820007, 213.86520987456163, 11.077910832144703, 2] >>>>> [4698.714268230858, 13.507604894042213, 0.5172550240820007, 215.05308056894089, 12.67513526185222, 2.0] >>>>> [5078.148195743083, 16.283114265003995, 0.980788693919178, 77.69389868758562, 9.10375524860246, 0] >>>>> [5070.358533598307, 14.859938667952372, 0.9300528653758927, 78.95459225306381, 10.187560896774102, 1.1074195299743983] pyelectro >>> WARNING PPTD failure Fitness: 0.009270151598425591 pyelectro >>> WARNING PPTD failure Fitness: 0.006959846821661397 pyelectro >>> WARNING PPTD failure Fitness: 0.012982119504876821 pyelectro >>> WARNING PPTD failure Fitness: 0.04137768916913964 >>>>> Evaluating: >>>>> [4803.847818498536, 13.33426397148895, 0.8502143157586717, 130.35239277893507, 11.339781833106718, 1.9780813345463162]Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 >>>>> [4857.227295660101, 13.32147670505968, 1, 151.45431542882022, 10.744829574791506, 1.5677608118100532] >>>>> [5081.409160892699, 15.4130693686374, 0.8178655049166894, 158.42140192988526, 10.881924656565962, 2] >>>>> [5081.167500169439, 17.238357645928996, 0, 162.73465770736823, 10.972489493814432, 0.5416474582042661] pyelectro >>> WARNING PPTD failure Fitness: 0.012670545129149224 pyelectro >>> WARNING PPTD failure Fitness: 0.1019216257952068 pyelectro >>> WARNING PPTD failure Fitness: 0.0037897787777815273 pyelectro >>> WARNING PPTD failure Fitness: 0.02411487824369951 >>>>> Evaluating: >>>>> [4978.366368970622, 14.783309691432486, 1, 131.14058952567456, 9.833183880939137, 1.0768329555473395] >>>>> [4929.924071634489, 14.28352613459634, 0.7833136707924755, 179.06251954634797, 10.197404958453548, 2] >>>>> [5081.3410094218625, 15.090643877874184, 0.9905381402872423, 150.3602973249679, 9.364881321945138, 2] >>>>> [5081.660163579887, 14.647075750324491, 0, 127.42713948863387, 12.525823794465849, 0] pyelectro >>> WARNING PPTD failure Fitness: 0.019090965314901176 pyelectro >>> WARNING PPTD failure Fitness: 0.024365448537755463 pyelectro >>> WARNING PPTD failure Fitness: 0.01709341195754066 pyelectro >>> WARNING PPTD failure Fitness: 0.03144887905497895 >>>>> Evaluating: >>>>> [5132.340148368335, 15.129378637676044, 0.8980012418508028, 154.9391096313401, 11.582756345565496, 0] >>>>> [5095.955388920865, 15.999675092592144, 0.8924296971021036, 149.48145105556918, 11.824234429258341, 1.8617690502470723] >>>>> [4701.878516986918, 13.144732348267228, 0.5739133679685005, 219.01063683113895, 10.49409456448879, 2] >>>>> [4640.730795017916, 14.30196092426314, 0.6715421885823246, 220.61852297303057, 11.755861580762481, 1.6456734129646908] pyelectro >>> WARNING PPTD failure Fitness: 0.03959668803572558 pyelectro >>> WARNING PPTD failure Fitness: 0.010225968291472265 pyelectro >>> WARNING PPTD failure Fitness: 0.03297167645000476 pyelectro >>> WARNING PPTD failure Fitness: 0.02658048238553712 >>>>> Evaluating: >>>>> [4996.2742437633315, 13.789270942886667, 0.5057937853440195, 106.93541947147902, 10.34081638632825, 0.9285155406996232] >>>>> [4924.610983211882, 15.329388379644662, 1.0, 106.36816002778298, 10.459760527604626, 0.9276104094925045] >>>>> [5080.729786221036, 15.662607511363653, 0.7852489816854312, 171.88834915687542, 10.804293894975377, 1.8266969760392247] >>>>> [5012.610771118938, 15.206863276181753, 0.8805469934697994, 160.623152675469, 10.35883616469127, 1.4528536880959586] pyelectro >>> WARNING PPTD failure Fitness: 0.023561448566935206 pyelectro >>> WARNING PPTD failure Fitness: 0.026760397605866904 pyelectro >>> WARNING PPTD failure Fitness: 0.005327140637555017 pyelectro >>> WARNING PPTD failure Fitness: 0.08312938762127009 >>>>> Evaluating: >>>>> [4948.013764403991, 15.347917643218285, 0.9062269359554223, 116.40735620102939, 9.239624894351481, 1.1620106792094278] >>>>> [4943.393426747733, 14.625864300225722, 0.9014350338792974, 123.48758064345103, 9.784394063095815, 0] >>>>> [4894.723465702524, 14.67317481948446, 0.9945052625060705, 187.7714648101299, 9.485495801298658, 1.9043095589370183] >>>>> [5048.175415374575, 15.533446276638408, 1, 158.4997220188997, 11.822367458782445, 1.2079652660254216] pyelectro >>> WARNING PPTD failure Fitness: 0.009248413825284296 pyelectro >>> WARNING PPTD failure Fitness: 0.02212969724170122 pyelectro >>> WARNING PPTD failure Fitness: 0.030528901018560317 pyelectro >>> WARNING PPTD failure Fitness: 0.008010356783761052 >>>>> Evaluating: >>>>> [5041.199542896026, 15.647867926667747, 1, 187.22160760437544, 10.692519129700669, 2] >>>>> [4858.755302497819, 15.593790850747576, 1, 181.0580249966926, 10.58906474579474, 2] >>>>> [4955.323953551622, 15.186710558535701, 0.9568724412583977, 103.4451654493077, 8.352156152165449, 1.202670723106549] >>>>> [5084.2774129387135, 14.978852326973584, 0.9186241196055301, 111.16738111973675, 9.343198858687035, 1.2554132639826887] pyelectro >>> WARNING PPTD failure Fitness: 0.004273671593436612 pyelectro >>> WARNING PPTD failure Fitness: 0.0040804894349752985 pyelectro >>> WARNING PPTD failure Fitness: 0.053775987352079446 pyelectro >>> WARNING PPTD failure Fitness: 0.016879543769166228 >>>>> Evaluating: >>>>> [4763.443106065825, 14.743542587458485, 0.4229129171110754, 188.903720358747, 9.179464048262956, 2] >>>>> [4876.380980484896, 13.243740990189687, 0.8666379874213652, 212.02029614283504, 9.851797855259258, 2.0] >>>>> [4854.730009582518, 14.584793871741638, 0.9977769479352284, 94.46332840954899, 10.210362737943628, 0.9884195348964027] >>>>> [5005.238267393622, 13.774942979843118, 1, 154.76637779525367, 10.547980745393023, 0.5177702771046732] pyelectro >>> WARNING PPTD failure Fitness: 0.019677190419051138 pyelectro >>> WARNING PPTD failure Fitness: 0.0292271770018947 pyelectro >>> WARNING PPTD failure Fitness: 0.01037026241491601 pyelectro >>> WARNING PPTD failure Fitness: 0.0483424011839948 >>>>> Evaluating: >>>>> [4857.984229477339, 11.175919835691753, 0.34924101636552757, 178.05783339870294, 10.386970649006527, 1.7668428929308215] >>>>> [4719.491177088252, 14.555553755699703, 0.9252428915512716, 217.36717660938587, 11.097342986631354, 2] >>>>> [4585.276402301639, 16.820041868585104, 0.9705866050390956, 217.81132179861237, 10.281690037370385, 2] >>>>> [4616.5154009721, 15.573307665008597, 0.9546767457474918, 216.13342854507079, 12.219379300596284, 1.7960675965833393] pyelectro >>> WARNING PPTD failure Fitness: 0.03167465641489031 pyelectro >>> WARNING PPTD failure Fitness: 0.06178269244404011 pyelectro >>> WARNING PPTD failure Fitness: 0.022647882113281947 pyelectro >>> WARNING PPTD failure Fitness: 0.013169329868298885 >>>>> Evaluating: >>>>> [5080.206432348185, 14.944017419903044, 1, 125.98121671671318, 10.599084703281875, 0.9209639459295416] >>>>> [5079.397807678447, 15.913696351174732, 0.9999137790936543, 120.27238393018919, 10.075489775766641, 1.2755357425626555] >>>>> [5055.6355510446265, 14.502744351976112, 0.9903420814879967, 188.16566815713963, 10.476969624764623, 2.0] >>>>> [5059.648502108712, 16.650872132951648, 0.9382468123295644, 189.11109088532203, 10.157369957817135, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.04323428927183648 pyelectro >>> WARNING PPTD failure Fitness: 0.01939804124905664 pyelectro >>> WARNING PPTD failure Fitness: 0.011025271465697206 pyelectro >>> WARNING PPTD failure Fitness: 0.03258089957577359 >>>>> Evaluating: >>>>> [5082.310874777324, 14.998636391617557, 0.9126158841984942, 149.40316602076797, 10.398358211685597, 2] >>>>> [5081.639920103818, 13.34883742335814, 0.9336783361023903, 164.00772405925053, 9.61483522015782, 1.7057323471096144] >>>>> [4676.325139687448, 15.067561714513555, 1, 191.48582584969668, 10.01187466197926, 2] >>>>> [4614.600217092457, 17.81887739751341, 0.9177706178294196, 199.4833720064213, 8.782851608131992, 1.4704942616492096] pyelectro >>> WARNING PPTD failure Fitness: 0.014697909389888353 pyelectro >>> WARNING PPTD failure Fitness: 0.01160545426961579 pyelectro >>> WARNING PPTD failure Fitness: 0.016767768119890447 pyelectro >>> WARNING PPTD failure Fitness: 0.04688662978971192 >>>>> Evaluating: >>>>> [4942.481618718429, 17.241302822360314, 0, 220.59083354430095, 11.613135527361939, 1.8574378599457497] >>>>> [4941.006416592086, 15.664630232766612, 0.9741607874643639, 210.15222350638558, 11.1660555992705, 1.8154102629929898] >>>>> [4698.714268230858, 14.275090204370551, 0.5172550240820007, 216.44928221891942, 11.895510924354467, 2.0] >>>>> [4698.380551549986, 13.42881964352065, 0, 213.71842215854252, 12.517535048558834, 0.6848321927568248] pyelectro >>> WARNING PPTD failure Fitness: 0.02325740458943737 pyelectro >>> WARNING PPTD failure Fitness: 0.006397774042167681 pyelectro >>> WARNING PPTD failure Fitness: 0.01815340633518736 pyelectro >>> WARNING PPTD failure Fitness: 0.030155511778402144 >>>>> Evaluating: >>>>> [4935.89355688312, 15.418143923514833, 0.9579042919876362, 217.50410369183868, 11.004059669891054, 1.7050218246571527] >>>>> [4932.379556954447, 15.311272874777671, 0.8221245560621073, 212.90715385391485, 10.284129097661799, 1.3825769376785657] >>>>> [5081.678439192982, 15.092604782786621, 1, 171.83878884742688, 10.626558015872995, 2] >>>>> [5081.932034740257, 14.79301627232432, 1, 171.83878884742688, 9.911251190287786, 1.7087824670504619] pyelectro >>> WARNING PPTD failure Fitness: 0.004118002415011146 pyelectro >>> WARNING PPTD failure Fitness: 0.006677756634560605 pyelectro >>> WARNING PPTD failure Fitness: 0.04677252682740218 pyelectro >>> WARNING PPTD failure Fitness: 0.02862351757660253 >>>>> Evaluating: >>>>> [5073.771439399668, 15.693661236136794, 0.9200938126230764, 162.87812560305576, 10.90740619640691, 2] >>>>> [5023.509037924703, 15.418083353128937, 1, 185.2198004653111, 11.007665966611432, 2] >>>>> [4826.31541703367, 14.615888579465084, 0.7966800309658155, 191.79497547487193, 8.852533560838886, 2.0] >>>>> [4732.216947125241, 15.265510290377868, 0.732328835371518, 177.26275663275092, 9.172755742142895, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.00397529840887767 pyelectro >>> WARNING PPTD failure Fitness: 0.006650318730652138 pyelectro >>> WARNING PPTD failure Fitness: 0.024233823983287772 pyelectro >>> WARNING PPTD failure Fitness: 0.02003815877256998 >>>>> Evaluating: >>>>> [5095.411857734488, 13.986064295106372, 0.8468721878328053, 201.74367402258602, 10.5849539261981, 2] >>>>> [5097.981955526194, 13.690373345170558, 0, 197.0792575059408, 10.728845541726669, 2] >>>>> [4944.16784254097, 14.375137389674453, 0.9152378453027558, 170.64428103290408, 10.181489721172731, 1.0841796755720081] >>>>> [4512.0165999673445, 14.577243473514402, 0.9978791850886858, 188.3965716475112, 10.096559034263851, 0.8513388686466791] pyelectro >>> WARNING PPTD failure Fitness: 0.04374484566622738 pyelectro >>> WARNING PPTD failure Fitness: 0.03524818479453795 pyelectro >>> WARNING PPTD failure Fitness: 0.017412448354309773 pyelectro >>> WARNING PPTD failure Fitness: 0.010084455979769702 >>>>> Evaluating: >>>>> [5023.519927061885, 15.646583669509988, 1, 185.46413617946507, 10.691940018699425, 2] >>>>> [4978.604595818012, 16.306092581113155, 0.14369241222901363, 188.0121947925082, 9.7879938192083, 0.9399217594927645] >>>>> [4837.295517498829, 15.567198005841544, 0.6612054447144483, 214.33016674527366, 11.345270983868135, 1.873934530242607] >>>>> [4769.019879667719, 13.843386128217084, 1, 208.7995006038, 11.736141500862198, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.03595031151462069 pyelectro >>> WARNING PPTD failure Fitness: 0.05518129576295616 pyelectro >>> WARNING PPTD failure Fitness: 0.050137931685570236 pyelectro >>> WARNING PPTD failure Fitness: 0.005954033325381025 >>>>> Evaluating: >>>>> [5074.466117874118, 15.968567477932838, 0, 157.5715433676938, 8.512286205389415, 2.0] >>>>> [5068.9472539769595, 15.361129401637383, 0.7815876681520791, 176.66539387497767, 8.341591768415814, 2.0] >>>>> [5074.109493587918, 15.461511459494778, 1, 169.0076609670172, 10.687850357070143, 1.7181205837475813] >>>>> [5077.576279996351, 14.954981787618362, 0.9358051811634214, 167.2540468552038, 10.803954415810653, 1.0378507767384217] pyelectro >>> WARNING PPTD failure Fitness: 0.005915755712404103 pyelectro >>> WARNING PPTD failure Fitness: 0.014278795056230309 pyelectro >>> WARNING PPTD failure Fitness: 0.005837205106028032 pyelectro >>> WARNING PPTD failure Fitness: 0.017850158885985623 >>>>> Evaluating: >>>>> [4969.4625285572865, 15.658546015000201, 0, 188.50778281547136, 11.004604690428568, 2] >>>>> [5026.936508210877, 15.658863767403027, 0.9754519852816114, 206.9437804172128, 10.992564410632221, 1.9072137945790901] >>>>> [5078.201350248099, 15.280959980554575, 0.15228596960174157, 164.9577216623379, 7.304898024025684, 1.8516744903942894] >>>>> [5074.8017200102895, 15.305031336509629, 1, 160.36544151554074, 7.868566503413242, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.011169227113294378 pyelectro >>> WARNING PPTD failure Fitness: 0.00862183913651271 pyelectro >>> WARNING PPTD failure Fitness: 0.006359588197300314 pyelectro >>> WARNING PPTD failure Fitness: 0.0034849104198277914 >>>>> Evaluating: >>>>> [4857.269812758237, 15.617924688530412, 0.5053897653340736, 166.17958123415832, 8.49441886140871, 1.3663702560505515] >>>>> [5041.450892413955, 16.27093936523109, 0.7622439688253982, 180.35132220756245, 10.345199836691325, 1.9782260088962615] >>>>> [5081.309165134645, 14.681008605603587, 0.910306429738247, 139.05884698209735, 9.984135127109816, 1.904925851577534] >>>>> [5080.251957223825, 15.223085967213256, 0.8943191091465998, 161.03435404170034, 10.747336203004252, 1.4827571700204616] pyelectro >>> WARNING PPTD failure Fitness: 0.005781989034013391 pyelectro >>> WARNING PPTD failure Fitness: 0.004965931767662357 pyelectro >>> WARNING PPTD failure Fitness: 0.016982638462433752 pyelectro >>> WARNING PPTD failure Fitness: 0.02640236483117986 >>>>> Evaluating: >>>>> [4875.8998379479535, 15.721299707876906, 0.968420437335296, 181.056545138944, 10.366599946464465, 2] >>>>> [4860.552590843193, 15.587090080467522, 1, 181.2863215443296, 10.409619661167143, 2] >>>>> [5084.805525700864, 15.318597356831617, 0.6248224527078714, 159.4694584802917, 11.396816151964527, 2] >>>>> [5067.612339691064, 15.503027405744207, 0.8097776203119963, 170.32659560850604, 9.259853446493477, 1.9822907890516899] pyelectro >>> WARNING PPTD failure Fitness: 0.019352440752981148 pyelectro >>> WARNING PPTD failure Fitness: 0.009406617670885353 pyelectro >>> WARNING PPTD failure Fitness: 0.004175644095698261 pyelectro >>> WARNING PPTD failure Fitness: 0.010137687466697742 >>>>> Evaluating: >>>>> [4934.884730475637, 13.551883452364887, 1, 184.7884903527213, 11.025209971973393, 1.6193632956737785] >>>>> [4884.486280636302, 15.356821260327909, 0, 185.60082962970935, 11.821648151792228, 2] >>>>> [4797.031110216075, 14.70048019514135, 0.8978937125457287, 194.60239592408627, 11.204918892099704, 2] >>>>> [4783.84578682027, 16.128745630951116, 1, 200.15328185866883, 12.322600692632104, 1.498848071422981] pyelectro >>> WARNING PPTD failure Fitness: 0.04231148883515812 pyelectro >>> WARNING PPTD failure Fitness: 0.025583708705471664 pyelectro >>> WARNING PPTD failure Fitness: 0.01759823235960223 pyelectro >>> WARNING PPTD failure Fitness: 0.011427337601502163 >>>>> Evaluating: >>>>> [5081.415027763407, 15.760967094245967, 0.8643236573968753, 123.2286926793846, 10.378417067832526, 0.31748169021598427] >>>>> [5081.364951030263, 14.690808538494561, 0.9060854228946963, 124.66320074270762, 9.83724114154953, 1.7414882560213623] >>>>> [4662.005286346567, 15.463585552990812, 0.9565050297251443, 210.7417645992838, 11.487200518467239, 2.0] >>>>> [4716.574198148989, 15.644431130033587, 0.9490713220131167, 185.23267098252114, 11.194913676716055, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.045986494238103415 pyelectro >>> WARNING PPTD failure Fitness: 0.04450000327805359 pyelectro >>> WARNING PPTD failure Fitness: 0.022132310271776423 pyelectro >>> WARNING PPTD failure Fitness: 0.09942937065495805 >>>>> Evaluating: >>>>> [5081.498085024685, 15.058834685906167, 0.9913204238914012, 162.1800874392147, 8.17593468784775, 2] >>>>> [5081.369308121801, 15.613629698237904, 0.9360499340249215, 132.97119751273635, 10.53892633509968, 1.7013967063152697] >>>>> [5048.618478935902, 15.003873884419862, 0.977388991355005, 184.94977908212542, 9.45254073232212, 0.8958852201527181] >>>>> [4684.368323620989, 14.939140170481481, 1, 166.6767307592747, 12.530714767825463, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.005705139400184245 pyelectro >>> WARNING PPTD failure Fitness: 0.01132218861838108 pyelectro >>> WARNING PPTD failure Fitness: 0.021664962800210574 Single spike width algorithm failure - setting to 0 pyelectro >>> WARNING PPTD failure Fitness: 0.011492933814442607 >>>>> Evaluating: >>>>> [4704.212427801328, 13.818074584541549, 0.9039343406925918, 212.2269391687737, 11.315303155669165, 0.7661780233192659] >>>>> [4764.411390403087, 13.552191561302466, 1, 208.3660977158467, 13.592089204799766, 2.0] >>>>> [5075.88034066708, 15.091953987805821, 0.9949265899282584, 160.9864824196041, 8.049670753463042, 2] >>>>> [5081.14284927076, 14.112763193863014, 0.9963797119013095, 161.51599132272014, 9.069206383990403, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.0457971898267564 pyelectro >>> WARNING PPTD failure Fitness: 0.03136425134590648 pyelectro >>> WARNING PPTD failure Fitness: 0.007992691955573061 pyelectro >>> WARNING PPTD failure Fitness: 0.007198419597060912 >>>>> Evaluating: >>>>> [5106.492250022569, 14.260596765381766, 0.9683519959819035, 189.61624045697263, 9.725446896203234, 1.7307724649418883] >>>>> [5072.536924120242, 15.714079450864643, 1, 214.09014616152643, 9.02470684201132, 1.9165243131913796] >>>>> [5081.851462832941, 15.88882332454835, 0.9082388322325091, 136.2847176800678, 10.834556741712111, 1.7909372683011715] >>>>> [5074.083471144862, 15.554066023592553, 0.917767299019134, 139.86300049722337, 10.753238533926586, 1.6879581858972321] pyelectro >>> WARNING PPTD failure Fitness: 0.0164117776466578 pyelectro >>> WARNING PPTD failure Fitness: 0.9363890392046702 pyelectro >>> WARNING PPTD failure Fitness: 0.003166078986841292 pyelectro >>> WARNING PPTD failure Fitness: 0.006807818636437313 >>>>> Evaluating: >>>>> [5057.564171821639, 15.455049339218215, 0, 186.58480405353887, 9.177748088698173, 2] >>>>> [5047.529072322249, 15.349459600901609, 1.0, 172.80568824708837, 9.329950274473177, 2.0] >>>>> [5071.850120772195, 15.72962768169166, 0, 183.2420762467556, 10.704113681546538, 0.35003439434996886] >>>>> [5070.102716409609, 15.709078097113473, 0.9215467618582149, 180.4199031893162, 10.749560581136324, 1.3159858514956544] pyelectro >>> WARNING PPTD failure Fitness: 0.005165677280760783 pyelectro >>> WARNING PPTD failure Fitness: 0.034931176887847304 pyelectro >>> WARNING PPTD failure Fitness: 0.028254468584236192 pyelectro >>> WARNING PPTD failure Fitness: 0.04050098471988328 >>>>> Evaluating: >>>>> [5074.420232152739, 15.224270828271228, 0.6902185674836929, 162.37725877512068, 9.102808557047545, 1.8534283423829556] >>>>> [5080.407729891049, 15.101395088781704, 0.7482018928411691, 165.62643050671286, 10.381125048355583, 2] >>>>> [5075.4503383270185, 15.375537862081602, 0.8530900255436766, 163.3003002721337, 10.118935214583063, 2] >>>>> [5074.759540726582, 15.411868324123777, 0.8500247947606339, 164.2795261029043, 10.708153413386908, 1.7756569944489353] pyelectro >>> WARNING PPTD failure Fitness: 0.007375321565810333 pyelectro >>> WARNING PPTD failure Fitness: 0.024199487517846285 pyelectro >>> WARNING PPTD failure Fitness: 0.019930423323909263 pyelectro >>> WARNING PPTD failure Fitness: 0.033866185242772184 >>>>> Evaluating: >>>>> [5022.077452098573, 14.286103959144949, 1, 178.9166056413738, 10.779368718833533, 1.584968770087575] >>>>> [4977.253154313568, 14.034706825787453, 0.28666492913486774, 178.05002727492368, 8.71678155799508, 1.562026313610429] >>>>> [4897.0601703837565, 15.618160340901861, 0.925225530388012, 180.7865496216419, 10.22936277942601, 1.5752612031750854] >>>>> [5043.760613234334, 15.695620211814795, 0.9817143662103489, 160.60149987030897, 10.743851043653345, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.014027048529753339 pyelectro >>> WARNING PPTD failure Fitness: 0.009855541177475668 pyelectro >>> WARNING PPTD failure Fitness: 0.003760348528600743 pyelectro >>> WARNING PPTD failure Fitness: 0.0050260935603339 >>>>> Evaluating: >>>>> [5056.442372250567, 15.991500533847708, 0.7666441134830575, 168.13796901173077, 10.59792726098589, 2] >>>>> [5068.007425606301, 16.086368997860447, 0.7524729527840804, 162.52844083156327, 10.931118802154115, 1.9909745771735081] >>>>> [4974.30872769972, 16.811427949968568, 0.9188689734968486, 168.69593987743337, 11.901534459707008, 1.6409865893852276] >>>>> [4952.590942444825, 17.62359027793635, 0.9156065914466173, 177.10132856852832, 8.75667717541062, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.004872667774528883 pyelectro >>> WARNING PPTD failure Fitness: 0.05377765086179198 pyelectro >>> WARNING PPTD failure Fitness: 0.006355447873871656 pyelectro >>> WARNING PPTD failure Fitness: 0.019948951180718155 >>>>> Evaluating: >>>>> [4989.308809810766, 15.267786614904002, 0, 199.38786541886506, 10.773206017593019, 1.469609662636947] >>>>> [5003.393480559776, 15.753871888988503, 0.9548165539269812, 180.65797650742874, 10.883848511224315, 1.7078360627072287] >>>>> [5081.678439192982, 14.044731900527454, 1, 170.8164138106825, 10.861467016436091, 1.8698179409843139] >>>>> [5082.978544609852, 15.092604782786621, 1.0, 171.83878884742688, 10.626558015872995, 1.8074226822952986] pyelectro >>> WARNING PPTD failure Fitness: 0.01326887558410772 pyelectro >>> WARNING PPTD failure Fitness: 0.011049609504747093 pyelectro >>> WARNING PPTD failure Fitness: 0.006144526596384869 pyelectro >>> WARNING PPTD failure Fitness: 0.014722087982657728 >>>>> Evaluating: >>>>> [5040.5869214574495, 15.388320890157694, 0.8859175488449365, 180.36424562869092, 8.331911018582343, 2.0] >>>>> [5068.710045226367, 15.671294396479109, 0, 180.24464081923836, 9.619273101779994, 2] >>>>> [4985.880938470449, 14.692247266675096, 0.9362556100574111, 167.18895107786665, 10.420453036196502, 1.7098017527951916] >>>>> [4934.072938623618, 15.604369952693151, 0.964533743356727, 205.1332561082114, 9.590537675266098, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.006750727813335966 pyelectro >>> WARNING PPTD failure Fitness: 0.017797506884468794 pyelectro >>> WARNING PPTD failure Fitness: 0.01411857077527423 pyelectro >>> WARNING PPTD failure Fitness: 0.006104571405023962 >>>>> Evaluating: >>>>> [5058.40473014821, 15.991500533847708, 0.5603514043560449, 168.13796901173077, 10.59792726098589, 2.0] >>>>> [5056.442372250567, 15.991500533847708, 1, 168.4025066202993, 10.59792726098589, 2.0] >>>>> [4956.2514349098, 14.538070789178297, 0.6924417251332083, 179.38291787438567, 11.41475365450574, 1.650306209858958] >>>>> [4880.456044170136, 15.705179155468857, 0.825382273732177, 179.36855801529848, 10.458371695715591, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.020084563801180066 pyelectro >>> WARNING PPTD failure Fitness: 0.010177111183756637 pyelectro >>> WARNING PPTD failure Fitness: 0.030019585603320298 pyelectro >>> WARNING PPTD failure Fitness: 0.014803499945060139 >>>>> Evaluating: >>>>> [5059.959477236047, 15.661029274959015, 1, 184.1317466440858, 9.650880536254824, 2] >>>>> [5071.725306295656, 13.707464807015004, 0.8833806305939993, 181.4216321317582, 10.689262238790429, 0.5484550293475372] >>>>> [4988.4035253058955, 17.125887811891623, 0.7531646987815247, 217.20552569042718, 10.91561908902644, 1.5412477272952056] >>>>> [4531.0308237942245, 15.524430966580828, 1, 189.53236739237656, 10.474461774124071, 1.8192159062726354] pyelectro >>> WARNING PPTD failure Fitness: 0.027598053628083763 pyelectro >>> WARNING PPTD failure Fitness: 0.019406314486387632 pyelectro >>> WARNING PPTD failure Fitness: 0.031781646933642604 pyelectro >>> WARNING PPTD failure Fitness: 0.007655438294277617 >>>>> Evaluating: >>>>> [5078.9015518318065, 15.643665502880506, 0.7957732256537212, 167.0314633386718, 9.01024036986785, 1.8239866876858153] >>>>> [5079.3751642954485, 15.84549745064319, 0.9599626099162284, 167.5529547776071, 10.816535073741925, 1.975748819410704] >>>>> [4919.005068678491, 15.384833894489248, 0, 126.9330745481713, 9.22758480110381, 0.907218062511] >>>>> [4871.998457373413, 14.065906591804252, 0.32353207112798665, 197.1775296090061, 10.411954472271985, 1.0727619731868132] pyelectro >>> WARNING PPTD failure Fitness: 0.03112540533487962 pyelectro >>> WARNING PPTD failure Fitness: 0.021445772869239543 pyelectro >>> WARNING PPTD failure Fitness: 0.010541015530899811 pyelectro >>> WARNING PPTD failure Fitness: 0.07212899224545033 >>>>> Evaluating: >>>>> [5002.674169848095, 15.861577129213266, 0.5206334753626436, 129.49934479038683, 9.31127439036787, 2] >>>>> [4904.439295948412, 14.180376579571611, 0.10522019832401924, 131.81242062984683, 11.253612229402927, 0.014033849786689423] >>>>> [5067.90785175496, 15.339622378683327, 0.6627374302820512, 179.0586355184563, 8.411433949865273, 2.0] >>>>> [5068.658122381323, 14.408198192681743, 1, 179.70829776409772, 8.411433949865273, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.06659541995481377 pyelectro >>> WARNING PPTD failure Fitness: 0.023798340625233894 pyelectro >>> WARNING PPTD failure Fitness: 0.053648265727850086 pyelectro >>> WARNING PPTD failure Fitness: 0.013147016308017623 >>>>> Evaluating: >>>>> [5081.487648690491, 15.151028464796516, 0.9085849284396167, 136.43426492126656, 11.553642317922014, 1.7604646775464814] >>>>> [5081.416979952271, 15.14289453872353, 0.9088221476070789, 136.1569945927465, 11.01859808878119, 1.8010287940900707] >>>>> [4859.970852919775, 15.319757423616576, 0.35597283665436474, 223.0322038995436, 10.380320842725435, 1.7178925301204977] >>>>> [4863.554916666036, 14.028286626813706, 0.4000115884718906, 112.66803588728206, 8.966900831889804, 1.7826400252143486] pyelectro >>> WARNING PPTD failure Fitness: 0.02435624390216906 pyelectro >>> WARNING PPTD failure Fitness: 0.022751959598065974 pyelectro >>> WARNING PPTD failure Fitness: 0.03600807972217668 pyelectro >>> WARNING PPTD failure Fitness: 0.009643079150124412 >>>>> Evaluating: >>>>> [4962.913873726637, 15.553355688059224, 0.9282488020663495, 180.94880303434527, 10.911426867604371, 0] >>>>> [4989.837578590036, 15.507088703648206, 0, 192.52970919349542, 10.990633912973157, 1.4121252318519377] >>>>> [4920.737005883827, 15.432375774656597, 0.9261480989088333, 218.16548184412244, 10.88268182871999, 1.7042652614052796] >>>>> [4903.7879441976875, 16.19035912159533, 0.9557534476088946, 215.37979673559886, 10.712413518673666, 1.7088545680116407] pyelectro >>> WARNING PPTD failure Fitness: 0.046804885199411506 pyelectro >>> WARNING PPTD failure Fitness: 0.007668086202130553 pyelectro >>> WARNING PPTD failure Fitness: 0.00834210925729395 pyelectro >>> WARNING PPTD failure Fitness: 0.005559370713556833 >>>>> Evaluating: >>>>> [5088.744010797657, 15.335106765931046, 0.9957411900903381, 185.06663605822507, 10.396327703870535, 1.6034366524338886] >>>>> [5014.716306397385, 14.158802660112638, 0.8825745504003498, 222.83082517740655, 10.447603560855754, 1.681156855607068] >>>>> [5073.415301532304, 15.233936381856353, 1, 153.7757632162996, 10.371384485263448, 1.7141904947908582] >>>>> [5076.668304119474, 14.80042370282725, 1, 157.81616125167727, 11.334283141839467, 1.9225692090005535] pyelectro >>> WARNING PPTD failure Fitness: 0.005810097812845805 pyelectro >>> WARNING PPTD failure Fitness: 0.022515595420490864 pyelectro >>> WARNING PPTD failure Fitness: 0.005995502265567554 pyelectro >>> WARNING PPTD failure Fitness: 0.05044126923525816 >>>>> Evaluating: >>>>> [5074.339470361414, 15.651771916993447, 0, 161.57524005888348, 9.85615859022083, 2.0] >>>>> [5082.463437257075, 15.415440831573306, 0.6705486125837874, 168.21356755229982, 9.498322394873895, 1.4321342302304814] >>>>> [5061.178201968554, 15.779968608157716, 0.8175538450786621, 183.10154025490468, 10.872343298885799, 1.4537494811582214] >>>>> [5069.969907207189, 15.706787559257315, 0.3816719310983079, 174.7429306996645, 10.72355141309079, 1.1260872382246419] pyelectro >>> WARNING PPTD failure Fitness: 0.005076013544537905 pyelectro >>> WARNING PPTD failure Fitness: 0.014837281405721381 pyelectro >>> WARNING PPTD failure Fitness: 0.011675910627820918 pyelectro >>> WARNING PPTD failure Fitness: 0.011552572934718452 >>>>> Evaluating: >>>>> [5079.715793202822, 14.776413526721822, 0.6790122546784956, 168.19458347749932, 9.713797675766942, 2] >>>>> [5082.22498259365, 15.510562510347166, 0.7538524822950549, 179.19961362093088, 8.247929647380852, 1.9586743214436737] >>>>> [4920.297748150005, 15.29225933182937, 0.2988779414035244, 180.8586700547154, 10.905747423642687, 2] >>>>> [4893.849627643472, 15.45019250166088, 0.08378930205952634, 179.00662700431644, 10.793625040420343, 1.9962003463520555] pyelectro >>> WARNING PPTD failure Fitness: 0.027186785579913608 pyelectro >>> WARNING PPTD failure Fitness: 0.01750070000780035 pyelectro >>> WARNING PPTD failure Fitness: 0.04618902970261929 pyelectro >>> WARNING PPTD failure Fitness: 0.02482671617372101 >>>>> Evaluating: >>>>> [5059.337394146394, 15.914669818472603, 0.15579997715519678, 164.49099100780325, 9.599473522639846, 2.0] >>>>> [5072.981041929009, 14.520703446852968, 1, 161.65264888369984, 9.884329447132021, 2.0] >>>>> [4963.593663117371, 15.700148767536085, 1, 172.72482375609076, 10.762919673463053, 1.732743689765051] >>>>> [5049.437510688452, 15.64765081277134, 1, 168.2998350241165, 10.548520983112029, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.011916103709060155 pyelectro >>> WARNING PPTD failure Fitness: 0.020502797758871427 pyelectro >>> WARNING PPTD failure Fitness: 0.007829746446947672 pyelectro >>> WARNING PPTD failure Fitness: 0.01014866879003884 >>>>> Evaluating: >>>>> [4878.247444243515, 14.706545729513241, 0.39606401770556837, 124.67504204658785, 10.396228786800298, 1.8665489887866777] >>>>> [5091.70267198546, 15.030133041271647, 0.561654823406338, 178.4784907604725, 10.57808053911531, 1.6633831026577899] >>>>> [5084.805525700864, 15.72472647608659, 0.6248224527078714, 159.4694584802917, 11.396816151964527, 2.0] >>>>> [5084.805525700864, 14.566118534826792, 0.6248224527078714, 159.4694584802917, 11.396816151964527, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.004512899869619447 pyelectro >>> WARNING PPTD failure Fitness: 0.008116846826543012 pyelectro >>> WARNING PPTD failure Fitness: 0.00930274302065548 pyelectro >>> WARNING PPTD failure Fitness: 0.020061408951746795 >>>>> Evaluating: >>>>> [4724.4250571338935, 15.355105881958885, 0.922745475171287, 164.94331903860984, 7.751818652157755, 2.0] >>>>> [4836.5006694088215, 14.835473903681095, 1, 193.05205801638104, 9.5800603808596, 1.6819978430841669] >>>>> [5057.915851981155, 15.991500533847708, 1, 169.46577238518768, 10.59792726098589, 2.0] >>>>> [5056.442372250567, 15.612419323671476, 0.7068741964405602, 166.8250861756453, 10.59792726098589, 1.5003520941468211] pyelectro >>> WARNING PPTD failure Fitness: 0.054882008394451676 pyelectro >>> WARNING PPTD failure Fitness: 0.004519811471319413 pyelectro >>> WARNING PPTD failure Fitness: 0.007263363456521454 pyelectro >>> WARNING PPTD failure Fitness: 0.023103919501904047 >>>>> Evaluating: >>>>> [5024.63708171275, 15.538285428134023, 0.9072626023338403, 157.289359664372, 8.636281878798426, 1.5424987720553909] >>>>> [4951.689372159547, 15.870190186492168, 0.9070616380240393, 164.9738135323138, 9.786388631114153, 1.8170405435725796] >>>>> [5070.783034197014, 15.65716680875681, 0.6476288259420364, 176.68407019206967, 10.862445430054457, 1.934407211951156] >>>>> [5045.720860706282, 16.70731893416459, 0.036215522197233674, 179.16728053227388, 10.46412787768709, 1.9729792705840339] pyelectro >>> WARNING PPTD failure Fitness: 0.06948704112309678 pyelectro >>> WARNING PPTD failure Fitness: 0.009449176528595227 pyelectro >>> WARNING PPTD failure Fitness: 0.9914147539300198 pyelectro >>> WARNING PPTD failure Fitness: 0.09018571717331758 >>>>> Evaluating: >>>>> [5006.224038937933, 15.415620605542658, 0.4225429282199125, 184.62084667995398, 11.177976573557457, 1.7108027041080576] >>>>> [5053.7871699890975, 16.01755424929592, 1, 186.6783193864752, 9.97324558604727, 2] >>>>> [4929.556316357861, 16.190743305284276, 0, 158.06073394819353, 10.745657948871068, 1.116312464836829]Single spike width algorithm failure - setting to 0 >>>>> [4954.02786056577, 16.7082875819739, 1, 147.55900448362738, 9.088636395291738, 0.16143644274530145] pyelectro >>> WARNING PPTD failure Fitness: 0.04684173512232792 pyelectro >>> WARNING PPTD failure Fitness: 0.01678142425390594 pyelectro >>> WARNING PPTD failure Fitness: 0.03317208394301241 pyelectro >>> WARNING PPTD failure Fitness: 0.015864326438148058 >>>>> Evaluating: >>>>> [5008.594191713438, 14.78918187798351, 0.9713030347750038, 194.76044108810342, 10.547021492322944, 1.3661934487085565] >>>>> [5096.079239464077, 16.88470303331778, 1, 188.59220118600533, 10.7561361415003, 1.9235108266660799] >>>>> [5080.41040215771, 14.663804314999615, 0.7097204797023866, 172.69059158935633, 10.486030345336774, 1.665394949450814] >>>>> [5081.542043303174, 14.214203914758304, 0.9847146057822402, 167.6121470283478, 10.833941266506272, 0.044541057168998144] pyelectro >>> WARNING PPTD failure Fitness: 0.01137062532135591 pyelectro >>> WARNING PPTD failure Fitness: 0.011451531700845452 pyelectro >>> WARNING PPTD failure Fitness: 0.016629877100999946 pyelectro >>> WARNING PPTD failure Fitness: 0.01644195630816825 >>>>> Evaluating: >>>>> [5003.570894548281, 16.532885919898405, 0.6937088069681059, 158.99683150149022, 11.323414275054207, 1.0127597454418227] >>>>> [5035.592368111498, 13.01465395174533, 0.1761454266665543, 168.2398808996553, 11.240518302281638, 1.9908172049447572] >>>>> [4550.626827267237, 15.836751586685486, 1, 222.5319250070377, 10.00917855144886, 1.3250782484744428] >>>>> [4552.967464507242, 15.836751586685486, 0, 223.87141560738485, 10.173747993959735, 1.6080113843642374] pyelectro >>> WARNING PPTD failure Fitness: 0.018454169076966842 pyelectro >>> WARNING PPTD failure Fitness: 0.04363528555717844 pyelectro >>> WARNING PPTD failure Fitness: 0.005998809213268452 pyelectro >>> WARNING PPTD failure Fitness: 0.03805621590589958 >>>>> Evaluating: >>>>> [4633.9117484216795, 14.11954583878589, 1, 224.33804168198907, 10.528915511644787, 1.935359314676932] >>>>> [4847.973846353925, 15.427864892062892, 0, 223.6420257068149, 10.402125776628381, 1.3826459556012751] >>>>> [5076.480270256426, 15.65443263173374, 0.9118807483595412, 160.90812616432117, 10.038110452776753, 2] >>>>> [5073.253227452713, 15.541922299816811, 0.9167860582606455, 128.7034726345522, 9.92302682612749, 1.5053428890290859] pyelectro >>> WARNING PPTD failure Fitness: 0.02550734424559975 pyelectro >>> WARNING PPTD failure Fitness: 0.011080481737575365 pyelectro >>> WARNING PPTD failure Fitness: 0.014758858353402515 pyelectro >>> WARNING PPTD failure Fitness: 0.014243373156521133 >>>>> Evaluating: >>>>> [5092.684816531034, 16.336539513375584, 1, 158.5724038357643, 12.558628376014699, 2] >>>>> [4524.620744205092, 15.746616518013585, 1, 182.39345762159564, 10.591178003067343, 2] >>>>> [5080.363831244895, 14.536508020318198, 1, 159.24079847691334, 11.760421914695259, 0.7967447204542886] >>>>> [5085.141565288682, 15.779914000718149, 0, 162.29886067437943, 10.905198765030082, 2.0] pyelectro >>> WARNING PPTD failure Fitness: 0.013630384718306798 pyelectro >>> WARNING PPTD failure Fitness: 0.010516674860832853 pyelectro >>> WARNING PPTD failure Fitness: 0.015882006083803968 pyelectro >>> WARNING PPTD failure Fitness: 0.030614736229526485 >>>>> Evaluating: >>>>> [4950.814038830954, 14.591718239008397, 0, 174.55980743933915, 12.023424321632895, 2] >>>>> [5016.4718550335765, 13.056566443920929, 1, 183.795965086179, 11.740620841707802, 1.7062601673281075] >>>>> [4526.596461621719, 16.306777633156518, 1, 208.53981819416288, 11.43982498060326, 2] >>>>> [4616.787569809472, 15.795230185843064, 1.0, 172.03352228745695, 10.053052852684813, 1.5687561399658252] pyelectro >>> WARNING PPTD failure Fitness: 0.01562575402872579 pyelectro >>> WARNING PPTD failure Fitness: 0.013715012804512039 pyelectro >>> WARNING PPTD failure Fitness: 0.015576272718626827 pyelectro >>> WARNING PPTD failure Fitness: 0.007511651474783276 >>>>> Evaluating: >>>>> [4609.252075627768, 14.915433781194068, 1, 217.86758398353336, 11.098427388315784, 2] >>>>> [4698.326070927484, 14.664159520197774, 1, 217.74056972161858, 11.976538023726784, 2] >>>>> [4857.794180498052, 15.603600428188885, 0.9813313030658398, 180.88996682218948, 10.285148739947138, 1.6782228467460958] >>>>> [4857.324890879025, 16.116670900012117, 0.9292566575054688, 181.9277449570715, 9.216325247922317, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.029551330817125132 pyelectro >>> WARNING PPTD failure Fitness: 0.01469749659048103 pyelectro >>> WARNING PPTD failure Fitness: 0.06688116696860513 pyelectro >>> WARNING PPTD failure Fitness: 0.011746070306677514 >>>>> Evaluating: >>>>> [4746.387161054334, 14.65772753027498, 0.9357686136676248, 201.29479743548802, 11.024406973836113, 2.0] >>>>> [5073.528557925012, 13.963230893956647, 1, 204.79917324833252, 10.19288588547544, 2] >>>>> [4980.544705048677, 14.906218421005162, 0.4242896704666608, 167.57498573551067, 8.455894493580127, 2] >>>>> [5096.671462642295, 15.128380038934731, 0.9429315372345377, 148.93597862852204, 10.493383158074115, 1.0201050021893243] pyelectro >>> WARNING PPTD failure Fitness: 0.008641675049594566 pyelectro >>> WARNING PPTD failure Fitness: 0.15362010738785414 pyelectro >>> WARNING PPTD failure Fitness: 0.023693967246153358 pyelectro >>> WARNING PPTD failure Fitness: 0.01011686474626916 >>>>> Evaluating: >>>>> [5065.988625386912, 15.716284626209045, 1, 157.14639483837774, 9.585706274008544, 1.7143436489084705] >>>>> [5016.5109049252005, 15.032112780039347, 0.9058228182872371, 197.21173616460706, 10.120334892484536, 1.6934116442517966] >>>>> [4896.008025210294, 15.983623662196711, 0, 170.76177821487266, 10.459870706194513, 2] >>>>> [4951.520105604429, 15.733226915395594, 1, 170.88627945414197, 10.63676616553268, 1.7929809641932648] pyelectro >>> WARNING PPTD failure Fitness: 0.003272529495256027 pyelectro >>> WARNING PPTD failure Fitness: 0.026745836931429623 pyelectro >>> WARNING PPTD failure Fitness: 0.017981202804188023 pyelectro >>> WARNING PPTD failure Fitness: 0.005319549266567414 >>>>> Evaluating: >>>>> [4865.889685483212, 14.52261823321991, 0.7166263902449425, 182.86849727480225, 11.799903479996091, 2.0] >>>>> [4842.764101108008, 14.866005516246531, 0.9854947767912694, 172.16109276866777, 10.344719825270365, 2] >>>>> [4906.254823354518, 15.344217444428807, 0.8632165315360818, 178.16296551850445, 10.594481222914139, 1.699408708639323] >>>>> [4881.8233826175465, 15.329800655303352, 0.985573816580108, 171.42713462271104, 10.64368501821044, 1.5954533388106946] pyelectro >>> WARNING PPTD failure Fitness: 0.9763280889993174 pyelectro >>> WARNING PPTD failure Fitness: 0.006422598040903504 pyelectro >>> WARNING PPTD failure Fitness: 0.01720850485817582 pyelectro >>> WARNING PPTD failure Fitness: 0.0037579786593024966 >>>>> Evaluating: >>>>> [5062.707136433292, 16.082797570661448, 1, 198.30239470218078, 10.268072856071027, 2] >>>>> [4927.549216761325, 15.672950720656248, 0.9358462118603755, 210.48316268282392, 9.516026668713565, 2] >>>>> [5039.585068487607, 14.429167355177702, 0.88594041812733, 179.43753786835285, 10.76061402527429, 2] >>>>> [5067.063409264162, 14.995333579156737, 0.7289475686859138, 177.90911847152393, 9.767182411710676, 0.8978381337999036] pyelectro >>> WARNING PPTD failure Fitness: 0.004072819625557833 pyelectro >>> WARNING PPTD failure Fitness: 0.008034717901610477 pyelectro >>> WARNING PPTD failure Fitness: 0.006423112401632958 pyelectro >>> WARNING PPTD failure Fitness: 0.017381039563375777 >>>>> Evaluating: >>>>> [5059.661697992241, 15.535410806390539, 0.1689394584015633, 191.54460097547155, 7.439561703326399, 2] >>>>> [5063.193703428189, 13.45814374112822, 1, 196.31278491753037, 9.761367047564002, 2.0] >>>>> [4979.428144787487, 15.475594224442107, 0.9492310515509732, 161.41023463347275, 8.550142610239757, 2] >>>>> [5035.4491787933, 14.631973806553892, 0, 169.1409949305184, 10.130287451699552, 1.7259835916473716] pyelectro >>> WARNING PPTD failure Fitness: 0.01592344704743509 pyelectro >>> WARNING PPTD failure Fitness: 0.019114706383292934 pyelectro >>> WARNING PPTD failure Fitness: 0.005400356145178864 pyelectro >>> WARNING PPTD failure Fitness: 0.008003721861389756 >>>>> Evaluating: >>>>> [4539.151664093326, 15.012154776766698, 0.9541905823241357, 214.7507211661846, 11.237937944215577, 1.707653629568457] >>>>> [4638.208018262091, 15.527848566211476, 1, 218.82690136018698, 10.637562414474857, 2] >>>>> [5047.302138067648, 16.440525214347456, 0.7843497779240952, 180.0329549397323, 10.454906926828011, 1.9487006355930527] >>>>> [5047.478799102925, 16.02828845170692, 0.7641243838412837, 169.28831405027344, 9.43542520363108, 2] pyelectro >>> WARNING PPTD failure Fitness: 0.01733437054694753 pyelectro >>> WARNING PPTD failure Fitness: 0.01560811309271537 pyelectro >>> WARNING PPTD failure Fitness: 0.08007804903617555 pyelectro >>> WARNING PPTD failure Fitness: 0.010947962776708065 >>>>> Evaluating: >>>>> [5051.868882360635, 14.677478001722998, 0.9867106753938668, 202.01873236284146, 10.731978240487477, 2] >>>>> [4814.251593759569, 15.380590742100532, 0.8890408219198118, 203.58476665251976, 10.140298214592754, 2.0] >>>>> [4883.549404742168, 13.492312338373516, 0.2683331107434324, 190.03848044995885, 11.521122743324984, 1.956081496424959] >>>>> [4745.1913464835425, 14.7186193704946, 0.8590608413505362, 159.13281012898992, 11.02755718481652, 0.7462907972656185] pyelectro >>> WARNING PPTD failure Fitness: 0.005117866734763443 pyelectro >>> WARNING PPTD failure Fitness: 0.018416548279762024 pyelectro >>> WARNING PPTD failure Fitness: 0.01631729527744652 pyelectro >>> WARNING PPTD failure Fitness: 0.03023107297204286 >>>>> Evaluating: >>>>> [4855.411434300553, 15.661620350611585, 1, 211.14654858794103, 11.221565243709692, 0.5155118044431555] >>>>> [4690.787799176041, 14.800489031781956, 0, 214.42695082277461, 10.202905274011203, 2] >>>>> [4842.976445656065, 14.786220831998536, 1, 184.73220831680845, 9.936782837987225, 1.6286206449022387] >>>>> [4849.505672414147, 16.64242593547668, 1, 192.35160878545273, 9.974882636568346, 0.31540764135341726] pyelectro >>> WARNING PPTD failure Fitness: 0.010599859835926928 pyelectro >>> WARNING PPTD failure Fitness: 0.004371106182037621 pyelectro >>> WARNING PPTD failure Fitness: 0.03944717424537281 pyelectro >>> WARNING PPTD failure Fitness: 0.026092235641017925 [5081.851462832941, 15.88882332454835, 0.9082388322325091, 136.2847176800678, 10.834556741712111, 1.7909372683011715] : 0.003166078986841292 Fittest individual: [5081.851462832941, 15.88882332454835, 0.9082388322325091, 136.2847176800678, 10.834556741712111, 1.7909372683011715] : 0.003166078986841292 ---------------------------------------- Candidate 1 Analysis Results: {'average_minimum': -65.13851445390046, 'average_maximum': 33.77485464695454, 'min_peak_no': 13, 'max_peak_no': 14, 'mean_spike_frequency': 18.00554016621845, 'interspike_time_covar': 0.014357410466795777, 'first_spike_time': 153.15000000001768, 'max_interspike_time': 58.300000000013256, 'min_interspike_time': 55.299999999949705, 'trough_phase_adaptation': -0.013138291220734628, 'spike_width_adaptation': -0.008057512981432216, 'peak_decay_exponent': -0.16259733113534267, 'trough_decay_exponent': 0.0010609100675282466, 'spike_frequency_adaptation': 0.012367191976662344, 'spike_broadening': 1.5911768123065515, 'peak_linear_gradient': -0.009527676489645772} Candidate 1 values: [5072.936414337846, 17.519542057641516, 0.8864343397193356, 11.041625442394887, 6.344294014128004, 1.910040902002146] ---------------------------------------- Candidate 2 Analysis Results: {'average_minimum': -66.12742482527261, 'average_maximum': 31.25202431290888, 'min_peak_no': 13, 'max_peak_no': 14, 'mean_spike_frequency': 17.766844335123334, 'interspike_time_covar': 0.013675342419447865, 'first_spike_time': 153.10000000001767, 'max_interspike_time': 58.950000000013404, 'min_interspike_time': 56.04999999994902, 'trough_phase_adaptation': -0.011566977480408486, 'spike_width_adaptation': -0.007569653251971324, 'peak_decay_exponent': -0.18015828367262612, 'trough_decay_exponent': 0.0008822355450693204, 'spike_frequency_adaptation': 0.012165163789236542, 'spike_broadening': 1.6304052267546305, 'peak_linear_gradient': -0.010544836098800222} Candidate 2 values: [5081.851462832941, 15.88882332454835, 0.9082388322325091, 136.2847176800678, 10.834556741712111, 1.7909372683011715] ---------------------------------------- Surrogate Targets: {'average_minimum': -64.71684647948128, 'average_maximum': 35.616482952568916, 'min_peak_no': 12, 'max_peak_no': 13, 'mean_spike_frequency': 16.973125884029614, 'interspike_time_covar': 0.014248554749344538, 'first_spike_time': 153.45000000001775, 'max_interspike_time': 61.70000000001403, 'min_interspike_time': 58.64999999994666, 'trough_phase_adaptation': -0.01145265334128764, 'spike_width_adaptation': -0.007698137818416499, 'peak_decay_exponent': -0.1440398638735108, 'trough_decay_exponent': 0.0010228809756839138, 'spike_frequency_adaptation': 0.013535326970930583, 'spike_broadening': 1.5869162186944727, 'peak_linear_gradient': -0.009756657668088387} Surrogate values: {'axon_gbar_na': 3661.79, 'axon_gbar_kv': 23.23, 'axon_gbar_kv3': 0.26, 'soma_gbar_na': 79.91, 'soma_gbar_kv': 0.58, 'soma_gbar_kv3': 1.57} ---------------------------------------- Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem >> Running individual: {'amp': 65, 'period': 250, 'offset': -10} >> Running individual: {'amp': 65, 'period': 250, 'offset': -10} target data path in evaluator: Created files: /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_statistics.csv and /builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_individuals.csv >>>>> Evaluating: >>>>> [67.774914549644, 180.89114842228528, 47.0574238893832] >>>>> [93.01374466584959, 299.66551857600325, -16.388306670819446] >>>>> [96.91802798181416, 259.72149070902736, 38.360481014453896] >>>>> [90.83899240524714, 226.88736218829195, 31.389509945147765] >>>>> [99.02912809573894, 162.9639586855203, 12.265179402863936] >>>>> [74.12956959458434, 244.50650359387208, -35.39966432782012] >>>>> [69.32855425452306, 233.97028427191793, 5.469841172282443] >>>>> [66.1224228502031, 224.41306990777872, -2.702580810213661] >>>>> [67.96138108150863, 293.47576896814337, -28.635397610802173] >>>>> [96.13136176869266, 224.52131099679974, 41.15383246606119] >>>>> [67.06706370992006, 180.6574732005854, -7.772270812569168] >>>>> [82.29587718478226, 184.48343170300978, 17.324561664868007] >>>>> [85.22729925810529, 263.1536041430402, 38.9730222593598] >>>>> [65.36065461438798, 259.0658572646573, 23.3496158722278] >>>>> [95.49346093018664, 156.33923872056891, 5.7802761283570305] >>>>> [84.02568375480803, 162.93943333910752, 48.08295680945862] >>>>> [80.69362580904907, 284.5683866817584, 7.78220959046493] >>>>> [93.3684154135094, 262.9181150861341, -29.873283216104753] >>>>> [60.945408761034926, 223.5685414468715, 38.09991135745824] >>>>> [79.15304783352373, 262.6305336069699, -11.895688474843894] >> Running individual: {'amp': 67.774914549644, 'period': 180.89114842228528, 'offset': 47.0574238893832} >> Running individual: {'amp': 93.01374466584959, 'period': 299.66551857600325, 'offset': -16.388306670819446} >> Running individual: {'amp': 96.91802798181416, 'period': 259.72149070902736, 'offset': 38.360481014453896} >> Running individual: {'amp': 90.83899240524714, 'period': 226.88736218829195, 'offset': 31.389509945147765} >> Running individual: {'amp': 99.02912809573894, 'period': 162.9639586855203, 'offset': 12.265179402863936} >> Running individual: {'amp': 74.12956959458434, 'period': 244.50650359387208, 'offset': -35.39966432782012} >> Running individual: {'amp': 69.32855425452306, 'period': 233.97028427191793, 'offset': 5.469841172282443} >> Running individual: {'amp': 66.1224228502031, 'period': 224.41306990777872, 'offset': -2.702580810213661} >> Running individual: {'amp': 67.96138108150863, 'period': 293.47576896814337, 'offset': -28.635397610802173} >> Running individual: {'amp': 96.13136176869266, 'period': 224.52131099679974, 'offset': 41.15383246606119} >> Running individual: {'amp': 67.06706370992006, 'period': 180.6574732005854, 'offset': -7.772270812569168} >> Running individual: {'amp': 82.29587718478226, 'period': 184.48343170300978, 'offset': 17.324561664868007} >> Running individual: {'amp': 85.22729925810529, 'period': 263.1536041430402, 'offset': 38.9730222593598} >> Running individual: {'amp': 65.36065461438798, 'period': 259.0658572646573, 'offset': 23.3496158722278} >> Running individual: {'amp': 95.49346093018664, 'period': 156.33923872056891, 'offset': 5.7802761283570305} >> Running individual: {'amp': 84.02568375480803, 'period': 162.93943333910752, 'offset': 48.08295680945862} >> Running individual: {'amp': 80.69362580904907, 'period': 284.5683866817584, 'offset': 7.78220959046493} >> Running individual: {'amp': 93.3684154135094, 'period': 262.9181150861341, 'offset': -29.873283216104753} >> Running individual: {'amp': 60.945408761034926, 'period': 223.5685414468715, 'offset': 38.09991135745824} >> Running individual: {'amp': 79.15304783352373, 'period': 262.6305336069699, 'offset': -11.895688474843894} pyelectro >>> Cannot analyse data: max of v (114.832338) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (114.832338) >100 Data is non-analysable Fitness: 8.0 Target average_minimum (weight 1.0): target val: -75.0, actual: -109.40203073780394, cost: 0.00488534836932808, fitness inc: 0.00488534836932808 Target average_maximum (weight 1.0): target val: 55.0, actual: 76.62542260119346, cost: 0.003594320558351738, fitness inc: 0.003594320558351738 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.337041156840367, cost: 0.0006405479757336519, fitness inc: 0.0006405479757336519 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 74.90000000000002, cost: 0.0009176169391239553, fitness inc: 0.0009176169391239553 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 299.70000000006814, cost: 0.0009213173249610351, fitness inc: 0.0009213173249610351 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 299.60000000006806, cost: 0.0009176169391266198, fitness inc: 0.0009176169391266198 Fitness: 0.01187676810662508 pyelectro >>> Cannot analyse data: max of v (135.278508) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (135.278508) >100 Data is non-analysable Fitness: 8.0 pyelectro >>> Cannot analyse data: max of v (122.228502) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (122.228502) >100 Data is non-analysable Fitness: 8.0 pyelectro >>> Cannot analyse data: max of v (111.294307) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (111.294307) >100 Data is non-analysable Fitness: 8.0 Target average_minimum (weight 1.0): target val: -75.0, actual: -109.52922869268916, cost: 0.004921363178990168, fitness inc: 0.004921363178990168 Target average_maximum (weight 1.0): target val: 55.0, actual: 38.72987157631323, cost: 0.0020377339851741505, fitness inc: 0.0020377339851741505 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.089979550101628, cost: 1.1806993104990227e-05, fitness inc: 1.1806993104990227e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.1000000000006, cost: 1.1707596263788034e-05, fitness inc: 1.1707596263788034e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 244.5000000000556, cost: 1.1293205795404049e-05, fitness inc: 1.1293205795404049e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 244.5000000000004, cost: 1.1293205795404049e-05, fitness inc: 1.1293205795404049e-05 Fitness: 0.007005198165123905 Target average_minimum (weight 1.0): target val: -75.0, actual: -63.85869267430314, cost: 0.0005146393669723803, fitness inc: 0.0005146393669723803 Target average_maximum (weight 1.0): target val: 55.0, actual: 74.79837924687048, cost: 0.003014390927948085, fitness inc: 0.003014390927948085 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.27396089325711, cost: 0.00010944260376410941, fitness inc: 0.00010944260376410941 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 58.50000000000056, cost: 9.556419994427579e-05, fitness inc: 9.556419994427579e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 234.0000000000532, cost: 9.556419994427579e-05, fitness inc: 9.556419994427579e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 233.90000000005313, cost: 9.676236947042671e-05, fitness inc: 9.676236947042671e-05Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Fitness: 0.007968461799624293 Target average_minimum (weight 1.0): target val: -75.0, actual: -68.82497571384172, cost: 0.00015814771100031155, fitness inc: 0.00015814771100031155 Target average_maximum (weight 1.0): target val: 55.0, actual: 63.41981652357073, cost: 0.0005465365856966997, fitness inc: 0.0005465365856966997 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.455831569565937, cost: 0.00030292423799516133, fitness inc: 0.00030292423799516133 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 56.10000000000053, cost: 0.0002446078856764844, fitness inc: 0.0002446078856764844 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 224.50000000005105, cost: 0.00024270108188528816, fitness inc: 0.00024270108188528816 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 224.39999999999475, cost: 0.0002446078856764844, fitness inc: 0.0002446078856764844 Fitness: 0.00578162351951117 Target average_minimum (weight 1.0): target val: -75.0, actual: -96.59676787750715, cost: 0.0019310446986856578, fitness inc: 0.0019310446986856578 Target average_maximum (weight 1.0): target val: 55.0, actual: 39.32597024233456, cost: 0.0018914310940010282, fitness inc: 0.0018914310940010282 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.4075420263510843, cost: 0.0005116225154488951, fitness inc: 0.0005116225154488951 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 73.4000000000001, cost: 0.0007091884281684724, fitness inc: 0.0007091884281684724 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 293.50000000006673, cost: 0.0007059412948318133, fitness inc: 0.0007059412948318133 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 293.4000000000148, cost: 0.0007027015965691552, fitness inc: 0.0007027015965691552 Fitness: 0.006451929627705022 pyelectro >>> Cannot analyse data: max of v (137.285193) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (137.285193) >100 Data is non-analysable Fitness: 8.0 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.83929986290684, cost: 1.0712398179624216e-07, fitness inc: 1.0712398179624216e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.294753075486085, cost: 0.0001422545022162769, fitness inc: 0.0001422545022162769 Target min_peak_no (weight 1): target val: 3, actual: 5, cost: 0.01026392961876832, fitness inc: 0.01026392961876832 Target max_peak_no (weight 1.0): target val: 4, actual: 6, cost: 0.0057995028997515075, fitness inc: 0.0057995028997515075 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 5.535259603674513, cost: 0.003425549102365033, fitness inc: 0.003425549102365033 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 45.20000000000037, cost: 0.0017845685549570112, fitness inc: 0.0017845685549570112 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 180.7000000000411, cost: 0.0017897207566797135, fitness inc: 0.0017897207566797135 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 180.5999999999911, cost: 0.0017948803451048878, fitness inc: 0.0017948803451048878 Fitness: 0.025000512903824545 Target average_minimum (weight 1.0): target val: -75.0, actual: -64.97127196070856, cost: 0.00041702761695250334, fitness inc: 0.00041702761695250334 Target average_maximum (weight 1.0): target val: 55.0, actual: 99.62039951869076, cost: 0.015125138760804124, fitness inc: 0.015125138760804124 Target min_peak_no (weight 1): target val: 3, actual: 5, cost: 0.01026392961876832, fitness inc: 0.01026392961876832 Target max_peak_no (weight 1.0): target val: 4, actual: 6, cost: 0.0057995028997515075, fitness inc: 0.0057995028997515075 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 5.420641803988704, cost: 0.0029346048198576336, fitness inc: 0.0029346048198576336 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 46.100000000000385, cost: 0.0016040107493393574, fitness inc: 0.0016040107493393574 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 184.50000000004195, cost: 0.0015991320142469956, fitness inc: 0.0015991320142469956 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 184.40000000004193, cost: 0.001604010749337359, fitness inc: 0.001604010749337359 Fitness: 0.0393473572290578 pyelectro >>> Cannot analyse data: max of v (124.200321) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (124.200321) >100 Data is non-analysable Fitness: 8.0 Target average_minimum (weight 1.0): target val: -75.0, actual: -42.011024801548736, cost: 0.004494028031493347, fitness inc: 0.004494028031493347 Target average_maximum (weight 1.0): target val: 55.0, actual: 88.71025382949585, cost: 0.00868930900296827, fitness inc: 0.00868930900296827 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.860010293360175, cost: 2.8578313622240614e-05, fitness inc: 2.8578313622240614e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.8000000000006, cost: 3.1597934872173994e-05, fitness inc: 3.1597934872173994e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 259.1000000000589, cost: 3.091477758032646e-05, fitness inc: 3.091477758032646e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 259.00000000000455, cost: 3.0239085570094026e-05, fitness inc: 3.0239085570094026e-05 Fitness: 0.013304667146106453 pyelectro >>> Cannot analyse data: max of v (101.273737) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (101.273737) >100 Data is non-analysable Fitness: 8.0 pyelectro >>> Cannot analyse data: max of v (132.108637) >100 pyelectro >>> WARNING Data not suitable for analysis pyelectro >>> Cannot analyse data: max of v (132.108637) >100 Data is non-analysable Fitness: 8.0 Target average_minimum (weight 1.0): target val: -75.0, actual: -72.91140255596751, cost: 1.8094887373698576e-05, fitness inc: 1.8094887373698576e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 88.47581296779029, cost: 0.008569900343577297, fitness inc: 0.008569900343577297 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.5141150286980234, cost: 0.0003441709716758279, fitness inc: 0.0003441709716758279 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 71.10000000000024, cost: 0.00044159264312049196, fitness inc: 0.00044159264312049196 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 284.60000000006465, cost: 0.0004467400674467159, fitness inc: 0.0004467400674467159 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 284.5000000000647, cost: 0.0004441626318946179, fitness inc: 0.0004441626318946179 Fitness: 0.01026466154508865 Target average_minimum (weight 1.0): target val: -75.0, actual: -123.24169159945204, cost: 0.009561517419451437, fitness inc: 0.009561517419451437 Target average_maximum (weight 1.0): target val: 55.0, actual: 63.49510170714316, cost: 0.0005563484540744845, fitness inc: 0.0005563484540744845Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.803245436104873, cost: 5.6452335640000406e-05, fitness inc: 5.6452335640000406e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.70000000000054, cost: 6.116319216831201e-05, fitness inc: 6.116319216831201e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 263.00000000005974, cost: 6.308935281584827e-05, fitness inc: 6.308935281584827e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 262.90000000000566, cost: 6.2122540550269e-05, fitness inc: 6.2122540550269e-05 Fitness: 0.010360693294700352 Target average_minimum (weight 1.0): target val: -75.0, actual: -22.845478859919034, cost: 0.011157459643468481, fitness inc: 0.011157459643468481 Target average_maximum (weight 1.0): target val: 55.0, actual: 99.04530277710884, cost: 0.014743477269767213, fitness inc: 0.014743477269767213 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.472772000446541, cost: 0.0003258507764217766, fitness inc: 0.0003258507764217766 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 55.900000000000524, cost: 0.0002601307144042275, fitness inc: 0.0002601307144042275 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 223.60000000005084, cost: 0.0002601307144042275, fitness inc: 0.0002601307144042275 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 223.50000000005082, cost: 0.0002621046164913432, fitness inc: 0.0002621046164913432 Fitness: 0.03105125186653801 Target average_minimum (weight 1.0): target val: -75.0, actual: -91.04872196227346, cost: 0.0010672628952331786, fitness inc: 0.0010672628952331786 Target average_maximum (weight 1.0): target val: 55.0, actual: 67.25733269345955, cost: 0.0011575515610099396, fitness inc: 0.0011575515610099396 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8080731150032037, cost: 5.371617781102511e-05, fitness inc: 5.371617781102511e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.70000000000054, cost: 6.116319216831201e-05, fitness inc: 6.116319216831201e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 262.6000000000597, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 262.6000000000056, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Fitness: 0.0024582276006782644 >>>>> Evaluating: >>>>> [74.37062552665344, 290.73551186601446, -2.2616891572559688] >>>>> [71.86061545857959, 288.2757268763288, -4.947646727739003] >>>>> [75.08111250179512, 290.4448266139571, 24.889037123492734] >>>>> [65.05912633406476, 289.9208690025473, 4.253571395735175] >>>>> [77.14039752275033, 251.82180580289483, -12.142734055892731] >>>>> [93.11263639570006, 229.7097806633677, -4.264816465114909] >>>>> [70.42013375467681, 234.9405615015103, -18.1422779545344] >>>>> [68.47543092926074, 240.2605303647776, -33.184977763844536] >>>>> [68.86883751390651, 230.50233967969882, 5.624250825699917] >>>>> [69.13034043139454, 232.95840270612996, 4.382698554625188] >> Running individual: {'amp': 74.37062552665344, 'period': 290.73551186601446, 'offset': -2.2616891572559688} >> Running individual: {'amp': 71.86061545857959, 'period': 288.2757268763288, 'offset': -4.947646727739003} >> Running individual: {'amp': 75.08111250179512, 'period': 290.4448266139571, 'offset': 24.889037123492734} >> Running individual: {'amp': 65.05912633406476, 'period': 289.9208690025473, 'offset': 4.253571395735175} >> Running individual: {'amp': 77.14039752275033, 'period': 251.82180580289483, 'offset': -12.142734055892731} >> Running individual: {'amp': 93.11263639570006, 'period': 229.7097806633677, 'offset': -4.264816465114909} >> Running individual: {'amp': 70.42013375467681, 'period': 234.9405615015103, 'offset': -18.1422779545344} >> Running individual: {'amp': 68.47543092926074, 'period': 240.2605303647776, 'offset': -33.184977763844536} >> Running individual: {'amp': 68.86883751390651, 'period': 230.50233967969882, 'offset': 5.624250825699917} >> Running individual: {'amp': 69.13034043139454, 'period': 232.95840270612996, 'offset': 4.382698554625188} Target average_minimum (weight 1.0): target val: -75.0, actual: -76.63229721299692, cost: 1.1052179679671426e-05, fitness inc: 1.1052179679671426e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 72.10892437875673, cost: 0.0022527725695872247, fitness inc: 0.0022527725695872247 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.4395780784218037, cost: 0.00045781304273906365, fitness inc: 0.00045781304273906365 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 72.70000000000014, cost: 0.0006210796203809377, fitness inc: 0.0006210796203809377 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 290.80000000006606, cost: 0.0006210796203811597, fitness inc: 0.0006210796203811597 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 290.700000000014, cost: 0.0006180407227770468, fitness inc: 0.0006180407227770468 Fitness: 0.004581837755545104 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.8082502676633, cost: 1.3563302383112763e-05, fitness inc: 1.3563302383112763e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 66.91295426366165, cost: 0.0010934909630792022, fitness inc: 0.0010934909630792022 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.4690101757626035, cost: 0.0004110083680998189, fitness inc: 0.0004110083680998189 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 72.10000000000018, cost: 0.0005501995138470495, fitness inc: 0.0005501995138470495 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 288.30000000006555, cost: 0.0005473391890837842, fitness inc: 0.0005473391890837842 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 288.20000000001323, cost: 0.0005444863064864025, fitness inc: 0.0005444863064864025 Fitness: 0.00316008764297937 Target average_minimum (weight 1.0): target val: -75.0, actual: -50.19206286668676, cost: 0.002546409593439769, fitness inc: 0.002546409593439769 Target average_maximum (weight 1.0): target val: 55.0, actual: 99.97013141271374, cost: 0.015359511717444319, fitness inc: 0.015359511717444319 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.443130953746697, cost: 0.00045202931516008515, fitness inc: 0.00045202931516008515 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 72.60000000000015, cost: 0.000608968664529641, fitness inc: 0.000608968664529641 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 290.5000000000139, cost: 0.0006119852447138419, fitness inc: 0.0006119852447138419Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 290.400000000066, cost: 0.0006089686645316394, fitness inc: 0.0006089686645316394 Fitness: 0.020187873199819295 Target average_minimum (weight 1.0): target val: -75.0, actual: -60.80553740205323, cost: 0.0008350824273045676, fitness inc: 0.0008350824273045676 Target average_maximum (weight 1.0): target val: 55.0, actual: 69.31268738443475, cost: 0.0015776406061174253, fitness inc: 0.0015776406061174253 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.449465332872828, cost: 0.00044180866423515486, fitness inc: 0.00044180866423515486 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 72.50000000000016, cost: 0.0005969767392277614, fitness inc: 0.0005969767392277614 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 289.9000000000659, cost: 0.0005939973574331514, fitness inc: 0.0005939973574331514 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 289.90000000001373, cost: 0.0005939973574333735, fitness inc: 0.0005939973574333735 Fitness: 0.004639503151751434 Target average_minimum (weight 1.0): target val: -75.0, actual: -89.28312060098824, cost: 0.0008455379353791148, fitness inc: 0.0008455379353791148 Target average_maximum (weight 1.0): target val: 55.0, actual: 64.99764582902459, cost: 0.0007703927645205111, fitness inc: 0.0007703927645205111 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.971405877680084, cost: 1.1923666654034548e-06, fitness inc: 1.1923666654034548e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.000000000000625, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.80000000005725, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.80000000000246, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Fitness: 0.0016210355947420263 Target average_minimum (weight 1.0): target val: -75.0, actual: -97.37744838357611, cost: 0.0020728802410703295, fitness inc: 0.0020728802410703295 Target average_maximum (weight 1.0): target val: 55.0, actual: 88.84776884119351, cost: 0.008759724326014351, fitness inc: 0.008759724326014351 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.35303079769217, cost: 0.00018172014029649297, fitness inc: 0.00018172014029649297 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 57.400000000000546, cost: 0.00015534226503155502, fitness inc: 0.00015534226503155502 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 229.80000000005225, cost: 0.0001523117309361055, fitness inc: 0.0001523117309361055 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 229.69999999999624, cost: 0.00015382326809521008, fitness inc: 0.00015382326809521008 Fitness: 0.015517900103024784 Target average_minimum (weight 1.0): target val: -75.0, actual: -88.56239244681022, cost: 0.000762422370629845, fitness inc: 0.000762422370629845 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.27783585171933, cost: 5.715512820247959e-05, fitness inc: 5.715512820247959e-05 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.256224728664958, cost: 9.573203888646464e-05, fitness inc: 9.573203888646464e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 58.700000000000564, cost: 8.624749406149768e-05, fitness inc: 8.624749406149768e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 235.00000000005343, cost: 8.399294459260354e-05, fitness inc: 8.399294459260354e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 234.90000000005335, cost: 8.511648789955029e-05, fitness inc: 8.511648789955029e-05 Fitness: 0.005212764595853181 Target average_minimum (weight 1.0): target val: -75.0, actual: -101.66039125345851, cost: 0.002939738520830515, fitness inc: 0.002939738520830515 Target average_maximum (weight 1.0): target val: 55.0, actual: 35.29042829807742, cost: 0.0029874895036763327, fitness inc: 0.0029874895036763327 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.162619675315039, cost: 3.856436931493068e-05, fitness inc: 3.856436931493068e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 60.100000000000584, cost: 3.440521624031856e-05, fitness inc: 3.440521624031856e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 240.30000000005458, cost: 3.5125699475280214e-05, fitness inc: 3.5125699475280214e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 240.1999999999992, cost: 3.585364780311906e-05, fitness inc: 3.585364780311906e-05 Fitness: 0.006071176957340496 Target average_minimum (weight 1.0): target val: -75.0, actual: -63.24457654743189, cost: 0.0005729041046487193, fitness inc: 0.0005729041046487193 Target average_maximum (weight 1.0): target val: 55.0, actual: 74.49306462462076, cost: 0.0029224063869894845, fitness inc: 0.0029224063869894845 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.3383947939255245, cost: 0.00016696737888366453, fitness inc: 0.00016696737888366453 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 57.60000000000055, cost: 0.0001433991670630741, fitness inc: 0.0001433991670630741 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 230.5000000000524, cost: 0.00014193985021893063, fitness inc: 0.00014193985021893063 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 230.49999999999648, cost: 0.00014193985021893063, fitness inc: 0.00014193985021893063 Fitness: 0.008131654869603544 Target average_minimum (weight 1.0): target val: -75.0, actual: -64.74762819249216, cost: 0.00043582650207418805, fitness inc: 0.00043582650207418805 Target average_maximum (weight 1.0): target val: 55.0, actual: 73.5130168108872, cost: 0.002636690684329812, fitness inc: 0.002636690684329812 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.2923060414200345, cost: 0.00012458859094832686, fitness inc: 0.00012458859094832686 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 58.20000000000056, cost: 0.00011043473615535149, fitness inc: 0.00011043473615535149 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 233.00000000005298, cost: 0.00010788169361786171, fitness inc: 0.00010788169361786171Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 Single spike width algorithm failure - setting to 0 First spike width <1e-6s, this indicates a problem Single spike width algorithm failure - setting to 0 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 232.90000000005296, cost: 0.00010915448399717587, fitness inc: 0.00010915448399717587 Fitness: 0.007566674822703456 >>>>> Evaluating: >>>>> [69.04321219641496, 234.13790422927056, -34.935228535527244] >>>>> [69.19573567091469, 234.18758937639276, -10.8028173670821] >>>>> [68.63674401194626, 230.73181644947098, 0.4854230332280588] >>>>> [71.3987635604225, 244.45544625100746, -0.1627446997133335] >>>>> [64.55362350045858, 292.53509324972646, -11.767485735187153] >>>>> [63.93866380205511, 271.52195476910873, -7.925080154313232] >>>>> [79.15304783352373, 262.6305336069699, -11.895688474843894] >>>>> [79.15304783352373, 262.6305336069699, -11.35843751205962] >>>>> [68.52939020233265, 280.2092357320422, -29.262992311066935] >>>>> [71.64092695192704, 242.40380847780045, -17.577874815462366] >> Running individual: {'amp': 69.04321219641496, 'period': 234.13790422927056, 'offset': -34.935228535527244} >> Running individual: {'amp': 69.19573567091469, 'period': 234.18758937639276, 'offset': -10.8028173670821} >> Running individual: {'amp': 68.63674401194626, 'period': 230.73181644947098, 'offset': 0.4854230332280588} >> Running individual: {'amp': 71.3987635604225, 'period': 244.45544625100746, 'offset': -0.1627446997133335} >> Running individual: {'amp': 64.55362350045858, 'period': 292.53509324972646, 'offset': -11.767485735187153} >> Running individual: {'amp': 63.93866380205511, 'period': 271.52195476910873, 'offset': -7.925080154313232} >> Running individual: {'amp': 79.15304783352373, 'period': 262.6305336069699, 'offset': -11.895688474843894} >> Running individual: {'amp': 79.15304783352373, 'period': 262.6305336069699, 'offset': -11.35843751205962} >> Running individual: {'amp': 68.52939020233265, 'period': 280.2092357320422, 'offset': -29.262992311066935} >> Running individual: {'amp': 71.64092695192704, 'period': 242.40380847780045, 'offset': -17.577874815462366} Target average_minimum (weight 1.0): target val: -75.0, actual: -103.97842553576515, cost: 0.0034713118858481495, fitness inc: 0.0034713118858481495 Target average_maximum (weight 1.0): target val: 55.0, actual: 34.1079609247113, cost: 0.003355469941508038, fitness inc: 0.003355469941508038 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.270766602604451, cost: 0.0001069056265492474, fitness inc: 0.0001069056265492474 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 58.50000000000056, cost: 9.556419994427579e-05, fitness inc: 9.556419994427579e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 234.20000000005325, cost: 9.319024810150456e-05, fitness inc: 9.319024810150456e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 234.10000000005317, cost: 9.4373492802724e-05, fitness inc: 9.4373492802724e-05 Fitness: 0.01125891352633468 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.99853610570264, cost: 0.00010363224733322962, fitness inc: 0.00010363224733322962 Target average_maximum (weight 1.0): target val: 55.0, actual: 58.39289849460579, cost: 8.878806238532544e-05, fitness inc: 8.878806238532544e-05 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.269854824935236, cost: 0.00010618692851127598, fitness inc: 0.00010618692851127598 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 58.50000000000056, cost: 9.556419994427579e-05, fitness inc: 9.556419994427579e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 234.20000000005325, cost: 9.319024810150456e-05, fitness inc: 9.319024810150456e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 234.1999999999975, cost: 9.31902481017266e-05, fitness inc: 9.31902481017266e-05 Fitness: 0.004622650065958078 Target average_minimum (weight 1.0): target val: -75.0, actual: -68.15128992774957, cost: 0.00019453033285421473, fitness inc: 0.00019453033285421473 Target average_maximum (weight 1.0): target val: 55.0, actual: 69.12215050361155, cost: 0.001535979774757057, fitness inc: 0.001535979774757057 Target min_peak_no (weight 1): target val: 3, actual: 4, cost: 0.00258588843738472, fitness inc: 0.00258588843738472 Target max_peak_no (weight 1.0): target val: 4, actual: 5, cost: 0.00145620969419602, fitness inc: 0.00145620969419602 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.334164048108498, cost: 0.000162819168380679, fitness inc: 0.000162819168380679 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 57.70000000000055, cost: 0.00013760666180073766, fitness inc: 0.00013760666180073766 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 230.80000000005248, cost: 0.00013760666180073766, fitness inc: 0.00013760666180073766 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 230.69999999999652, cost: 0.00013904359752281437, fitness inc: 0.00013904359752281437 Fitness: 0.006349684328696981 Target average_minimum (weight 1.0): target val: -75.0, actual: -71.56147684191528, cost: 4.9042981666969077e-05, fitness inc: 4.9042981666969077e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 71.2360062493907, cost: 0.002029213086857995, fitness inc: 0.002029213086857995 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.0905372238881155, cost: 1.1953799264663445e-05, fitness inc: 1.1953799264663445e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.1000000000006, cost: 1.1707596263788034e-05, fitness inc: 1.1707596263788034e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 244.5000000000556, cost: 1.1293205795404049e-05, fitness inc: 1.1293205795404049e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 244.4000000000555, cost: 1.1707596263565989e-05, fitness inc: 1.1707596263565989e-05 Fitness: 0.0021249182661123855 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.3210986163751, cost: 7.239716996121359e-06, fitness inc: 7.239716996121359e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.78612417536647, cost: 3.7804326336154936e-05, fitness inc: 3.7804326336154936e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.4184138559702553, cost: 0.000493027033710236, fitness inc: 0.000493027033710236 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 73.10000000000012, cost: 0.000670713574706383, fitness inc: 0.000670713574706383 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 292.6000000000145, cost: 0.0006770516904367474, fitness inc: 0.0006770516904367474 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 292.50000000006645, cost: 0.0006738789143209134, fitness inc: 0.0006738789143209134 Fitness: 0.002559715256506556 Target average_minimum (weight 1.0): target val: -75.0, actual: -71.86372528878277, cost: 4.080042915310944e-05, fitness inc: 4.080042915310944e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.013570249677784, cost: 7.924204487030906e-06, fitness inc: 7.924204487030906e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.6832412523014306, cost: 0.0001463020779247648, fitness inc: 0.0001463020779247648 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 67.90000000000042, cost: 0.00017415206577509057, fitness inc: 0.00017415206577509057 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 271.50000000006173, cost: 0.0001725435569165379, fitness inc: 0.0001725435569165379 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 271.50000000000824, cost: 0.00017254355691675993, fitness inc: 0.00017254355691675993 Fitness: 0.0007142658911732935 Target average_minimum (weight 1.0): target val: -75.0, actual: -91.04872196227346, cost: 0.0010672628952331786, fitness inc: 0.0010672628952331786 Target average_maximum (weight 1.0): target val: 55.0, actual: 67.25733269345955, cost: 0.0011575515610099396, fitness inc: 0.0011575515610099396 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8080731150032037, cost: 5.371617781102511e-05, fitness inc: 5.371617781102511e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.70000000000054, cost: 6.116319216831201e-05, fitness inc: 6.116319216831201e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 262.6000000000597, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 262.6000000000056, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Fitness: 0.0024582276006782644 Target average_minimum (weight 1.0): target val: -75.0, actual: -90.51147099948919, cost: 0.0009970730770306746, fitness inc: 0.0009970730770306746 Target average_maximum (weight 1.0): target val: 55.0, actual: 67.7945836562438, cost: 0.0012611178727093275, fitness inc: 0.0012611178727093275 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8080731150032037, cost: 5.371617781102511e-05, fitness inc: 5.371617781102511e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.70000000000054, cost: 6.116319216831201e-05, fitness inc: 6.116319216831201e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 262.6000000000597, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 262.6000000000056, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Fitness: 0.0024916040941751483 Target average_minimum (weight 1.0): target val: -75.0, actual: -97.79236180777217, cost: 0.0021502950362152218, fitness inc: 0.0021502950362152218 Target average_maximum (weight 1.0): target val: 55.0, actual: 39.26637632840104, cost: 0.001905813717627991, fitness inc: 0.001905813717627991 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.568879371876644, cost: 0.0002709796692719202, fitness inc: 0.0002709796692719202 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 70.10000000000029, cost: 0.0003449007357733125, fitness inc: 0.0003449007357733125 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 280.2000000000637, cost: 0.0003403790359962633, fitness inc: 0.0003403790359962633 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 280.20000000001085, cost: 0.0003403790359962633, fitness inc: 0.0003403790359962633 Fitness: 0.005352747230880972 Target average_minimum (weight 1.0): target val: -75.0, actual: -89.21880046564206, cost: 0.0008379461502907581, fitness inc: 0.0008379461502907581 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.06305063109205, cost: 6.7714349620828784e-06, fitness inc: 6.7714349620828784e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.125412541253501, cost: 2.2936586094091105e-05, fitness inc: 2.2936586094091105e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 60.60000000000059, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 242.40000000005512, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 242.3999999999998, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Fitness: 0.0009323439763933017 >>>>> Evaluating: >>>>> [68.5735958374925, 282.3749630031772, -4.289213041273961] >>>>> [69.08635855865401, 288.18027865300957, -9.881062639824666] >>>>> [70.09109460805674, 247.40001443349053, -28.442857401502035] >>>>> [73.01695799576214, 261.7851914072967, -10.694506373149093] >>>>> [75.16991510061898, 261.5963598332221, -22.248657725310167] >>>>> [74.86129126387182, 278.6009943134907, -16.257387828849502] >>>>> [75.13877732312551, 263.8393407526349, -9.402181899612128] >>>>> [66.96219062311972, 272.08314980840896, -7.0954456247177555] >>>>> [73.97234789604482, 243.14406004723062, -14.735948861663765] >>>>> [77.4622978550431, 243.91813936029646, -12.667928215932507] >> Running individual: {'amp': 68.5735958374925, 'period': 282.3749630031772, 'offset': -4.289213041273961} >> Running individual: {'amp': 69.08635855865401, 'period': 288.18027865300957, 'offset': -9.881062639824666} >> Running individual: {'amp': 70.09109460805674, 'period': 247.40001443349053, 'offset': -28.442857401502035} >> Running individual: {'amp': 73.01695799576214, 'period': 261.7851914072967, 'offset': -10.694506373149093} >> Running individual: {'amp': 75.16991510061898, 'period': 261.5963598332221, 'offset': -22.248657725310167} >> Running individual: {'amp': 74.86129126387182, 'period': 278.6009943134907, 'offset': -16.257387828849502} >> Running individual: {'amp': 75.13877732312551, 'period': 263.8393407526349, 'offset': -9.402181899612128} >> Running individual: {'amp': 66.96219062311972, 'period': 272.08314980840896, 'offset': -7.0954456247177555} >> Running individual: {'amp': 73.97234789604482, 'period': 243.14406004723062, 'offset': -14.735948861663765} >> Running individual: {'amp': 77.4622978550431, 'period': 243.91813936029646, 'offset': -12.667928215932507} Target average_minimum (weight 1.0): target val: -75.0, actual: -72.8627905303054, cost: 1.8946989284285287e-05, fitness inc: 1.8946989284285287e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 64.28436890781957, cost: 0.0006644579729719879, fitness inc: 0.0006644579729719879 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.5414945106829236, cost: 0.0003064874920631899, fitness inc: 0.0003064874920631899 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 70.60000000000026, cost: 0.0003917568664096871, fitness inc: 0.0003917568664096871 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 282.4000000000642, cost: 0.00039175686640990914, fitness inc: 0.00039175686640990914Single spike width algorithm failure - setting to 0 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 282.30000000006413, cost: 0.000389343286097521, fitness inc: 0.000389343286097521 Fitness: 0.0021627494732365804 Target average_minimum (weight 1.0): target val: -75.0, actual: -78.96741300197324, cost: 6.528910683067934e-05, fitness inc: 6.528910683067934e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.20528399683371, cost: 0.00013639009433219496, fitness inc: 0.00013639009433219496 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.469812630117395, cost: 0.0004097675488650143, fitness inc: 0.0004097675488650143 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 72.00000000000018, cost: 0.0005388028682991042, fitness inc: 0.0005388028682991042 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 288.20000000006553, cost: 0.0005444863064861805, fitness inc: 0.0005444863064861805 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 288.20000000001323, cost: 0.0005444863064864025, fitness inc: 0.0005444863064864025 Fitness: 0.0022392222312995758 Target average_minimum (weight 1.0): target val: -75.0, actual: -98.5338955556237, cost: 0.002292161881820909, fitness inc: 0.002292161881820909 Target average_maximum (weight 1.0): target val: 55.0, actual: 41.64818075261685, cost: 0.0013732054224070422, fitness inc: 0.0013732054224070422 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.042037186741498, cost: 2.577050751351173e-06, fitness inc: 2.577050751351173e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.90000000000061, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 247.40000000005625, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 247.40000000000123, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Fitness: 0.0036751422042835546 Target average_minimum (weight 1.0): target val: -75.0, actual: -83.71144909436187, cost: 0.00031470117925957997, fitness inc: 0.00031470117925957997 Target average_maximum (weight 1.0): target val: 55.0, actual: 62.32243365772095, cost: 0.0004134116567032775, fitness inc: 0.0004134116567032775 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8197097020620383, cost: 4.7400282421894424e-05, fitness inc: 4.7400282421894424e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.40000000000056, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 261.8000000000595, cost: 5.198023124852735e-05, fitness inc: 5.198023124852735e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 261.80000000000535, cost: 5.198023124852735e-05, fitness inc: 5.198023124852735e-05 Fitness: 0.0009297067907130252 Target average_minimum (weight 1.0): target val: -75.0, actual: -97.41857175449677, cost: 0.002080490102266408, fitness inc: 0.002080490102266408 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.92125613627806, cost: 3.3330274572751506e-05, fitness inc: 3.3330274572751506e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8226299694183554, cost: 4.587724814786309e-05, fitness inc: 4.587724814786309e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.40000000000056, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 261.6000000000595, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 261.6000000000053, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Fitness: 0.0023103972544806783 Target average_minimum (weight 1.0): target val: -75.0, actual: -91.11863474019772, cost: 0.0010765717153338183, fitness inc: 0.0010765717153338183 Target average_maximum (weight 1.0): target val: 55.0, actual: 58.60385907151915, cost: 0.00010017134370665648, fitness inc: 0.00010017134370665648 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.5893754486713427, cost: 0.0002458328128416287, fitness inc: 0.0002458328128416287 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 69.70000000000032, cost: 0.00030956174185381435, fitness inc: 0.00030956174185381435 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 278.60000000006335, cost: 0.0003052785099054711, fitness inc: 0.0003052785099054711 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 278.60000000001037, cost: 0.00030527850990569316, fitness inc: 0.00030527850990569316 Fitness: 0.002342694633547082 Target average_minimum (weight 1.0): target val: -75.0, actual: -84.54094130012244, cost: 0.00037746157340312614, fitness inc: 0.00037746157340312614 Target average_maximum (weight 1.0): target val: 55.0, actual: 65.73657631296163, cost: 0.0008883764727940502, fitness inc: 0.0008883764727940502 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.7902716361333204, cost: 6.414211599792274e-05, fitness inc: 6.414211599792274e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 66.00000000000053, cost: 7.316797938827779e-05, fitness inc: 7.316797938827779e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 263.90000000006, cost: 7.212653072175002e-05, fitness inc: 7.212653072175002e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 263.800000000006, cost: 7.109254549064747e-05, fitness inc: 7.109254549064747e-05 Fitness: 0.0015463672177957744 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.05761059960317, cost: 3.683947598198678e-06, fitness inc: 3.683947598198678e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.866738301909024, cost: 0.00018266193639449035, fitness inc: 0.00018266193639449035 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.67511944138125, cost: 0.00015389956993849818, fitness inc: 0.00015389956993849818 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 68.00000000000041, cost: 0.0001806606891511242, fitness inc: 0.0001806606891511242 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 272.10000000006187, cost: 0.00018230649161632417, fitness inc: 0.00018230649161632417 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 272.10000000000844, cost: 0.00018230649161632417, fitness inc: 0.00018230649161632417 Fitness: 0.0008855191263149598 Target average_minimum (weight 1.0): target val: -75.0, actual: -88.7082646835753, cost: 0.0007788984114304176, fitness inc: 0.0007788984114304176 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.23638606673425, cost: 0.00013841474321896197, fitness inc: 0.00013841474321896197 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.112969564024603, cost: 1.8611082115538302e-05, fitness inc: 1.8611082115538302e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 60.800000000000594, cost: 1.7262635329529097e-05, fitness inc: 1.7262635329529097e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 243.20000000005524, cost: 1.7262635329529097e-05, fitness inc: 1.7262635329529097e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 243.10000000000002, cost: 1.7774084076327412e-05, fitness inc: 1.7774084076327412e-05 Fitness: 0.0009882235915003035 Target average_minimum (weight 1.0): target val: -75.0, actual: -90.13019187077725, cost: 0.0009487044044261816, fitness inc: 0.0009487044044261816 Target average_maximum (weight 1.0): target val: 55.0, actual: 64.7943579000156, cost: 0.0007394045311761577, fitness inc: 0.0007394045311761577 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.100041000409381, cost: 1.4595081218371497e-05, fitness inc: 1.4595081218371497e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.0000000000006, cost: 1.3439819368854522e-05, fitness inc: 1.3439819368854522e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 243.90000000005546, cost: 1.3891540355914778e-05, fitness inc: 1.3891540355914778e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 243.90000000000023, cost: 1.3891540355914778e-05, fitness inc: 1.3891540355914778e-05 Fitness: 0.001743926916901395 >>>>> Evaluating: >>>>> [75.8507846897689, 249.90609083027152, -14.146274151382212] >>>>> [73.49669435363656, 243.9529630723681, -13.831989457573396] >>>>> [73.34464572951967, 266.9012715575945, -9.515998177969244] >>>>> [69.80654644062992, 270.04921930168695, -9.930460183176859] >>>>> [63.46605927668348, 261.6719203708418, -11.805542572496588] >>>>> [61.83425159238372, 260.5428122690482, -8.468087832920189] >>>>> [67.08652883380749, 253.7678371418877, -5.619673646154428] >>>>> [68.1605511767674, 257.50164820978733, -11.741567801524193] >>>>> [79.15304783352373, 262.6305336069699, -11.3400778988086] >>>>> [79.15304783352373, 260.37319110790605, -11.801683078915731] >> Running individual: {'amp': 75.8507846897689, 'period': 249.90609083027152, 'offset': -14.146274151382212} >> Running individual: {'amp': 73.49669435363656, 'period': 243.9529630723681, 'offset': -13.831989457573396} >> Running individual: {'amp': 73.34464572951967, 'period': 266.9012715575945, 'offset': -9.515998177969244} >> Running individual: {'amp': 69.80654644062992, 'period': 270.04921930168695, 'offset': -9.930460183176859} >> Running individual: {'amp': 63.46605927668348, 'period': 261.6719203708418, 'offset': -11.805542572496588} >> Running individual: {'amp': 61.83425159238372, 'period': 260.5428122690482, 'offset': -8.468087832920189} >> Running individual: {'amp': 67.08652883380749, 'period': 253.7678371418877, 'offset': -5.619673646154428} >> Running individual: {'amp': 68.1605511767674, 'period': 257.50164820978733, 'offset': -11.741567801524193} >> Running individual: {'amp': 79.15304783352373, 'period': 262.6305336069699, 'offset': -11.3400778988086} >> Running individual: {'amp': 79.15304783352373, 'period': 260.37319110790605, 'offset': -11.801683078915731} Target average_minimum (weight 1.0): target val: -75.0, actual: -89.99702776413572, cost: 0.0009320938821749669, fitness inc: 0.0009320938821749669 Target average_maximum (weight 1.0): target val: 55.0, actual: 61.704504496079, cost: 0.0003466045220160696, fitness inc: 0.0003466045220160696 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.001600640255486, cost: 3.7363216964791945e-09, fitness inc: 3.7363216964791945e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.90000000005682, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.9000000000019, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 0.0012787096071795734 Target average_minimum (weight 1.0): target val: -75.0, actual: -87.32866415660237, cost: 0.0006301044775465225, fitness inc: 0.0006301044775465225 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.66467996239017, cost: 0.00016781169573221177, fitness inc: 0.00016781169573221177 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.099480732439935, cost: 1.4432065230995939e-05, fitness inc: 1.4432065230995939e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.0000000000006, cost: 1.3439819368854522e-05, fitness inc: 1.3439819368854522e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 244.00000000005542, cost: 1.3439819368854522e-05, fitness inc: 1.3439819368854522e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 243.90000000000023, cost: 1.3891540355914778e-05, fitness inc: 1.3891540355914778e-05 Fitness: 0.0008531194176033541 Target average_minimum (weight 1.0): target val: -75.0, actual: -82.86063334401886, cost: 0.00025624655552980435, fitness inc: 0.00025624655552980435 Target average_maximum (weight 1.0): target val: 55.0, actual: 63.828632446491696, cost: 0.0006008654721321172, fitness inc: 0.0006008654721321172 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.7467216185831393, cost: 9.354324247856649e-05, fitness inc: 9.354324247856649e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 66.70000000000049, cost: 0.00010535849841708522, fitness inc: 0.00010535849841708522 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 266.9000000000607, cost: 0.00010661636507192096, fitness inc: 0.00010661636507192096 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 266.90000000000686, cost: 0.000106616365072143, fitness inc: 0.000106616365072143 Fitness: 0.0012692464987016372 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.73698895857854, cost: 9.307190022600498e-05, fitness inc: 9.307190022600498e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.87607043216947, cost: 0.0001833629999613562, fitness inc: 0.0001833629999613562 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.7027894347068826, cost: 0.00012880399923653751, fitness inc: 0.00012880399923653751 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 67.50000000000044, cost: 0.00014931103621862452, fitness inc: 0.00014931103621862452 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 270.1000000000614, cost: 0.00015080765362129878, fitness inc: 0.00015080765362129878 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 270.00000000006133, cost: 0.0001493110362195127, fitness inc: 0.0001493110362195127 Fitness: 0.0008546686254833347 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.27158480218434, cost: 3.059602818877849e-07, fitness inc: 3.059602818877849e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.66050288426702, cost: 8.601539619934595e-05, fitness inc: 8.601539619934595e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.821656050954809, cost: 4.638242130572401e-05, fitness inc: 4.638242130572401e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.40000000000056, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 261.70000000005945, cost: 5.110298835120375e-05, fitness inc: 5.110298835120375e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 261.6000000000595, cost: 5.0233209831662684e-05, fitness inc: 5.0233209831662684e-05 Fitness: 0.00028427318580104277 Target average_minimum (weight 1.0): target val: -75.0, actual: -70.30232386926089, cost: 9.153362213587535e-05, fitness inc: 9.153362213587535e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.366148129436965, cost: 2.0590544114074127e-05, fitness inc: 2.0590544114074127e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.837789433285821, cost: 3.837058507383251e-05, fitness inc: 3.837058507383251e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.10000000000058, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.60000000005925, cost: 4.194597379481024e-05, fitness inc: 4.194597379481024e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.5000000000592, cost: 4.115830592466008e-05, fitness inc: 4.115830592466008e-05 Fitness: 0.00027397713391952294 Target average_minimum (weight 1.0): target val: -75.0, actual: -72.7061874865886, cost: 2.1825319749702032e-05, fitness inc: 2.1825319749702032e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 61.46683244266508, cost: 0.0003224738865690302, fitness inc: 0.0003224738865690302 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9406278733738787, cost: 5.1406706442769234e-06, fitness inc: 5.1406706442769234e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.40000000000063, cost: 4.838376589932913e-06, fitness inc: 4.838376589932913e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.80000000005765, cost: 5.390904271318497e-06, fitness inc: 5.390904271318497e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.70000000005768, cost: 5.110907211891558e-06, fitness inc: 5.110907211891558e-06 Fitness: 0.0003647800650361521 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.90210316454522, cost: 9.967261729815213e-05, fitness inc: 9.967261729815213e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.41897338200235, cost: 1.5530776104610844e-05, fitness inc: 1.5530776104610844e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.883495145630459, cost: 1.9794122276817205e-05, fitness inc: 1.9794122276817205e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.40000000000062, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 257.50000000005855, cost: 2.0999559009360347e-05, fitness inc: 2.0999559009360347e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 257.5000000000041, cost: 2.0999559009360347e-05, fitness inc: 2.0999559009360347e-05 Fitness: 0.00019855990204709073 Target average_minimum (weight 1.0): target val: -75.0, actual: -90.49311138623817, cost: 0.0009947165185663076, fitness inc: 0.0009947165185663076 Target average_maximum (weight 1.0): target val: 55.0, actual: 67.81294326949484, cost: 0.0012647351759335068, fitness inc: 0.0012647351759335068 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8080731150032037, cost: 5.371617781102511e-05, fitness inc: 5.371617781102511e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.70000000000054, cost: 6.116319216831201e-05, fitness inc: 6.116319216831201e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 262.6000000000597, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 262.6000000000056, cost: 5.926688722790452e-05, fitness inc: 5.926688722790452e-05 Fitness: 0.0024928648389349606 Target average_minimum (weight 1.0): target val: -75.0, actual: -90.95470559392993, cost: 0.0010548082279456805, fitness inc: 0.0010548082279456805 Target average_maximum (weight 1.0): target val: 55.0, actual: 67.35134799933786, cost: 0.0011753558461343738, fitness inc: 0.0011753558461343738 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.840737421584338, cost: 3.698862807899328e-05, fitness inc: 3.698862807899328e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.10000000000058, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.4000000000592, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.30000000005913, cost: 3.960536468672338e-05, fitness inc: 3.960536468672338e-05 Fitness: 0.0023875142725983123 >>>>> Evaluating: >>>>> [71.25854314257619, 253.48881608603813, -8.164942101314043] >>>>> [68.60032265328549, 241.99459003165745, -15.927495534458966] >>>>> [63.05586095792705, 260.5255375823507, -11.182677357761081] >>>>> [69.20531814493442, 258.3135407785385, -12.398300247153687] >>>>> [63.59736101491402, 261.490511002922, -8.777341580622618] >>>>> [63.47779777622796, 260.60211399985184, -9.836386049499797] >>>>> [74.72626357370135, 249.368239713854, -9.510415743559436] >>>>> [71.63306680683145, 252.83488963913328, -9.95493286211952] >>>>> [67.76276606608982, 254.0071187126493, -13.275716360714787] >>>>> [70.13282929307915, 267.44076206036334, -12.886524528668264] >> Running individual: {'amp': 71.25854314257619, 'period': 253.48881608603813, 'offset': -8.164942101314043} >> Running individual: {'amp': 68.60032265328549, 'period': 241.99459003165745, 'offset': -15.927495534458966} >> Running individual: {'amp': 63.05586095792705, 'period': 260.5255375823507, 'offset': -11.182677357761081} >> Running individual: {'amp': 69.20531814493442, 'period': 258.3135407785385, 'offset': -12.398300247153687} >> Running individual: {'amp': 63.59736101491402, 'period': 261.490511002922, 'offset': -8.777341580622618} >> Running individual: {'amp': 63.47779777622796, 'period': 260.60211399985184, 'offset': -9.836386049499797} >> Running individual: {'amp': 74.72626357370135, 'period': 249.368239713854, 'offset': -9.510415743559436} >> Running individual: {'amp': 71.63306680683145, 'period': 252.83488963913328, 'offset': -9.95493286211952} >> Running individual: {'amp': 67.76276606608982, 'period': 254.0071187126493, 'offset': -13.275716360714787} >> Running individual: {'amp': 70.13282929307915, 'period': 267.44076206036334, 'offset': -12.886524528668264} Target average_minimum (weight 1.0): target val: -75.0, actual: -79.4234827735534, cost: 8.116105616207125e-05, fitness inc: 8.116105616207125e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 63.09356673010686, cost: 0.0005050238929639184, fitness inc: 0.0005050238929639184 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.945291951603806, cost: 4.364729681238799e-06, fitness inc: 4.364729681238799e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.40000000000063, cost: 4.838376589932913e-06, fitness inc: 4.838376589932913e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.50000000005764, cost: 4.573312418099107e-06, fitness inc: 4.573312418099107e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.40000000005756, cost: 4.315714707936458e-06, fitness inc: 4.315714707936458e-06 Fitness: 0.0006042770825231969 Target average_minimum (weight 1.0): target val: -75.0, actual: -84.5278156639974, cost: 0.00037642411777183415, fitness inc: 0.00037642411777183415 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.67282420030339, cost: 4.177261356419493e-05, fitness inc: 4.177261356419493e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.132231404958053, cost: 2.5498518809285997e-05, fitness inc: 2.5498518809285997e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 60.50000000000059, cost: 2.3892762455623995e-05, fitness inc: 2.3892762455623995e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 242.00000000005502, cost: 2.3892762455623995e-05, fitness inc: 2.3892762455623995e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 241.9999999999997, cost: 2.3892762455623995e-05, fitness inc: 2.3892762455623995e-05 Fitness: 0.0005153735375121871 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.23852323249905, cost: 2.4052849241229524e-06, fitness inc: 2.4052849241229524e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.873168873207774, cost: 7.540975125275295e-05, fitness inc: 7.540975125275295e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8382804503576335, cost: 3.8138647295293815e-05, fitness inc: 3.8138647295293815e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.10000000000058, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.60000000000497, cost: 4.1945973794366154e-05, fitness inc: 4.1945973794366154e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.5000000000592, cost: 4.115830592466008e-05, fitness inc: 4.115830592466008e-05 Fitness: 0.0002394360660674666 Target average_minimum (weight 1.0): target val: -75.0, actual: -81.60358404380487, cost: 0.00018085691778590984, fitness inc: 0.00018085691778590984 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.80701317083529, cost: 2.5186226461193506e-05, fitness inc: 2.5186226461193506e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.871467286100824, cost: 2.409204659981068e-05, fitness inc: 2.409204659981068e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.6000000000006, cost: 2.634170609627784e-05, fitness inc: 2.634170609627784e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 258.30000000005873, cost: 2.5718271886687738e-05, fitness inc: 2.5718271886687738e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 258.30000000000433, cost: 2.5718271886687738e-05, fitness inc: 2.5718271886687738e-05 Fitness: 0.00030791344071656734 Target average_minimum (weight 1.0): target val: -75.0, actual: -72.37470019981048, cost: 2.8589045331317564e-05, fitness inc: 2.8589045331317564e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.81999094744671, cost: 2.499424310853371e-07, fitness inc: 2.499424310853371e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8245792962768044, cost: 4.487443683232062e-05, fitness inc: 4.487443683232062e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.40000000000056, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 261.5000000000594, cost: 4.937089572765174e-05, fitness inc: 4.937089572765174e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 261.40000000005944, cost: 4.851604607958304e-05, fitness inc: 4.851604607958304e-05 Fitness: 0.0002218335762331769 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.31414421888698, cost: 1.1789353159374905e-05, fitness inc: 1.1789353159374905e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.64137207178992, cost: 1.423791180366063e-05, fitness inc: 1.423791180366063e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8372985418259487, cost: 3.860316628856442e-05, fitness inc: 3.860316628856442e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.20000000000057, cost: 4.3543703863391237e-05, fitness inc: 4.3543703863391237e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.60000000005925, cost: 4.194597379481024e-05, fitness inc: 4.194597379481024e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.600000000005, cost: 4.194597379481024e-05, fitness inc: 4.194597379481024e-05 Fitness: 0.00019206608270461167 Target average_minimum (weight 1.0): target val: -75.0, actual: -84.23666262718267, cost: 0.0003537779408263608, fitness inc: 0.0003537779408263608 Target average_maximum (weight 1.0): target val: 55.0, actual: 65.21582100268336, cost: 0.0008043563372298612, fitness inc: 0.0008043563372298612 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.010159069642479, cost: 1.5050974244701365e-07, fitness inc: 1.5050974244701365e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.40000000005665, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.30000000005668, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 0.0011588410543568184 Target average_minimum (weight 1.0): target val: -75.0, actual: -81.58798331754365, cost: 0.00018000354509517535, fitness inc: 0.00018000354509517535 Target average_maximum (weight 1.0): target val: 55.0, actual: 61.678119458873965, cost: 0.00034388275801733315, fitness inc: 0.00034388275801733315 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9551746868813904, cost: 2.9302332622549443e-06, fitness inc: 2.9302332622549443e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.90000000005745, cost: 3.139723475431566e-06, fitness inc: 3.139723475431566e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.80000000000274, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Fitness: 0.0005358101093828616 Target average_minimum (weight 1.0): target val: -75.0, actual: -81.03847850899074, cost: 0.0001512319751634239, fitness inc: 0.0001512319751634239 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.48704517471881, cost: 2.0295921004942485e-06, fitness inc: 2.0295921004942485e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.937007874015136, cost: 5.786644754479653e-06, fitness inc: 5.786644754479653e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.00000000005775, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 254.00000000000307, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Fitness: 0.00017696810497691562 Target average_minimum (weight 1.0): target val: -75.0, actual: -83.01933918072064, cost: 0.0002666954360623919, fitness inc: 0.0002666954360623919 Target average_maximum (weight 1.0): target val: 55.0, actual: 57.24628718570622, cost: 3.8919303790407866e-05, fitness inc: 3.8919303790407866e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.739249657234849, cost: 9.914333395022457e-05, fitness inc: 9.914333395022457e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 66.90000000000047, cost: 0.00011563036140671556, fitness inc: 0.00011563036140671556 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 267.5000000000608, cost: 0.00011432026271662732, fitness inc: 0.00011432026271662732 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 267.400000000007, cost: 0.00011301762557269779, fitness inc: 0.00011301762557269779 Fitness: 0.000747726323499065 >>>>> Evaluating: >>>>> [69.52966299506444, 252.68361801358432, -13.416402095392703] >>>>> [64.43833792885961, 247.46445931781415, -13.575565609690427] >>>>> [67.63050971349655, 259.78872793745614, -13.085975697930312] >>>>> [67.82904637411636, 253.956573109823, -11.892100164576128] >>>>> [68.18146221159549, 249.1851138198521, -13.883451560218731] >>>>> [73.31985644897084, 246.08646176555192, -12.701535727908304] >>>>> [70.79237936115995, 260.89312592154494, -10.208749882600383] >>>>> [64.73060376180472, 259.70455062030953, -10.073742903814923] >>>>> [62.33310303725812, 258.16099228992005, -13.108161426556979] >>>>> [67.19936210865554, 256.1051078202623, -8.270438340216383] >> Running individual: {'amp': 69.52966299506444, 'period': 252.68361801358432, 'offset': -13.416402095392703} >> Running individual: {'amp': 64.43833792885961, 'period': 247.46445931781415, 'offset': -13.575565609690427} >> Running individual: {'amp': 67.63050971349655, 'period': 259.78872793745614, 'offset': -13.085975697930312} >> Running individual: {'amp': 67.82904637411636, 'period': 253.956573109823, 'offset': -11.892100164576128} >> Running individual: {'amp': 68.18146221159549, 'period': 249.1851138198521, 'offset': -13.883451560218731} >> Running individual: {'amp': 73.31985644897084, 'period': 246.08646176555192, 'offset': -12.701535727908304} >> Running individual: {'amp': 70.79237936115995, 'period': 260.89312592154494, 'offset': -10.208749882600383} >> Running individual: {'amp': 64.73060376180472, 'period': 259.70455062030953, 'offset': -10.073742903814923} >> Running individual: {'amp': 62.33310303725812, 'period': 258.16099228992005, 'offset': -13.108161426556979} >> Running individual: {'amp': 67.19936210865554, 'period': 256.1051078202623, 'offset': -8.270438340216383} Target average_minimum (weight 1.0): target val: -75.0, actual: -82.94606095537041, cost: 0.0002618450150501106, fitness inc: 0.0002618450150501106 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.1132348747336, cost: 9.559184879215366e-06, fitness inc: 9.559184879215366e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.957783641160336, cost: 2.599065468955608e-06, fitness inc: 2.599065468955608e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.70000000005746, cost: 2.721592592958011e-06, fitness inc: 2.721592592958011e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.60000000005738, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Fitness: 0.0002821755097217604 Target average_minimum (weight 1.0): target val: -75.0, actual: -78.01388879438588, cost: 3.767839045099031e-05, fitness inc: 3.767839045099031e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 50.86275285463182, cost: 0.00013201309100652203, fitness inc: 0.00013201309100652203 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.0409482758614494, cost: 2.445270910755859e-06, fitness inc: 2.445270910755859e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.90000000000061, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 247.50000000005627, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 247.40000000000123, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Fitness: 0.00017914420259734776 Target average_minimum (weight 1.0): target val: -75.0, actual: -80.71646560715003, cost: 0.00013553472607852335, fitness inc: 0.00013553472607852335 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.54451274521759, cost: 1.6003065023140195e-06, fitness inc: 1.6003065023140195e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8491147036175613, cost: 3.3199857868204674e-05, fitness inc: 3.3199857868204674e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.90000000000059, cost: 3.440521624031856e-05, fitness inc: 3.440521624031856e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 259.8000000000591, cost: 3.585364780311906e-05, fitness inc: 3.585364780311906e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 259.80000000000473, cost: 3.585364780311906e-05, fitness inc: 3.585364780311906e-05 Fitness: 0.0002764474022955987 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.72113260013121, cost: 9.244991219170551e-05, fitness inc: 9.244991219170551e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.93692594064022, cost: 6.771096331292803e-06, fitness inc: 6.771096331292803e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.937524609528197, cost: 5.692096954335035e-06, fitness inc: 5.692096954335035e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.00000000005775, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.90000000000305, cost: 5.678367755890257e-06, fitness inc: 5.678367755890257e-06 Fitness: 0.00012253806853890215 Target average_minimum (weight 1.0): target val: -75.0, actual: -82.06489586038799, cost: 0.00020700263711148637, fitness inc: 0.00020700263711148637 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.29798993816368, cost: 3.801337493003487e-06, fitness inc: 3.801337493003487e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.0128410914921595, cost: 2.404698203894995e-07, fitness inc: 2.404698203894995e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.20000000005666, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.20000000000172, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 0.00021176124425370535 Target average_minimum (weight 1.0): target val: -75.0, actual: -86.02135208072883, cost: 0.0005036226286315726, fitness inc: 0.0005036226286315726 Target average_maximum (weight 1.0): target val: 55.0, actual: 60.6183152048435, cost: 0.00024342090834861274, fitness inc: 0.00024342090834861274 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.063388866313886, cost: 5.8597653730396715e-06, fitness inc: 5.8597653730396715e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.500000000000604, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 246.10000000005596, cost: 5.678367755890257e-06, fitness inc: 5.678367755890257e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 246.10000000000085, cost: 5.678367755890257e-06, fitness inc: 5.678367755890257e-06 Fitness: 0.0007702333355178448 Target average_minimum (weight 1.0): target val: -75.0, actual: -81.00110044627884, cost: 0.00014936580265112465, fitness inc: 0.00014936580265112465 Target average_maximum (weight 1.0): target val: 55.0, actual: 60.583624812140684, cost: 0.00024042489524622734, fitness inc: 0.00024042489524622734 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8328861632803455, cost: 4.072526658516207e-05, fitness inc: 4.072526658516207e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.20000000000057, cost: 4.3543703863391237e-05, fitness inc: 4.3543703863391237e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.9000000000593, cost: 4.4353765989546545e-05, fitness inc: 4.4353765989546545e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.9000000000051, cost: 4.4353765989546545e-05, fitness inc: 4.4353765989546545e-05 Fitness: 0.0005627672003249984 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.80434090568012, cost: 1.588013781583797e-07, fitness inc: 1.588013781583797e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.656839782693176, cost: 9.083325558378874e-07, fitness inc: 9.083325558378874e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8505968425099826, cost: 3.255084129882846e-05, fitness inc: 3.255084129882846e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.90000000000059, cost: 3.440521624031856e-05, fitness inc: 3.440521624031856e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 259.70000000005905, cost: 3.5125699475280214e-05, fitness inc: 3.5125699475280214e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 259.7000000000047, cost: 3.5125699475280214e-05, fitness inc: 3.5125699475280214e-05 Fitness: 0.00013827459042370371 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.44124852766858, cost: 8.076448837490702e-07, fitness inc: 8.076448837490702e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 49.224925054343785, cost: 0.00025719051304329277, fitness inc: 0.00025719051304329277 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.873466752743098, cost: 2.3348337890083393e-05, fitness inc: 2.3348337890083393e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.50000000000061, cost: 2.3892762455623995e-05, fitness inc: 2.3892762455623995e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 258.20000000005865, cost: 2.5102303191859576e-05, fitness inc: 2.5102303191859576e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 258.1000000000587, cost: 2.4493800039326885e-05, fitness inc: 2.4493800039326885e-05 Fitness: 0.0003548353615039357 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.46979488012157, cost: 9.155254465653684e-07, fitness inc: 9.155254465653684e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 58.92889981466848, cost: 0.00011905334668005363, fitness inc: 0.00011905334668005363 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9047247169068475, cost: 1.3237669965526777e-05, fitness inc: 1.3237669965526777e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.00000000000064, cost: 1.3439819368854522e-05, fitness inc: 1.3439819368854522e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 256.10000000005823, cost: 1.3891540355914778e-05, fitness inc: 1.3891540355914778e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 256.10000000000366, cost: 1.3891540355914778e-05, fitness inc: 1.3891540355914778e-05 Fitness: 0.00017442944217282985 >>>>> Evaluating: >>>>> [65.14730118305819, 260.3358898562328, -13.264060804604442] >>>>> [63.25350368946321, 261.40316486916146, -8.538919594040209] >>>>> [67.86953618870507, 253.36135309411858, -13.279406439450803] >>>>> [69.66038243498235, 254.06300689396951, -13.120343518984367] >>>>> [65.6271314806003, 258.9092418350481, -8.773670629970278] >>>>> [67.55812874565868, 256.5473233238182, -8.151676518973643] >>>>> [65.10001250249414, 253.10138991834668, -12.057148211167299] >>>>> [67.18053245170513, 250.0796825536957, -14.28077081103062] >>>>> [64.82723452158179, 260.495874425448, -11.632566217335324] >>>>> [63.67383740343462, 252.44753883143474, -9.893952613942185] >> Running individual: {'amp': 65.14730118305819, 'period': 260.3358898562328, 'offset': -13.264060804604442} >> Running individual: {'amp': 63.25350368946321, 'period': 261.40316486916146, 'offset': -8.538919594040209} >> Running individual: {'amp': 67.86953618870507, 'period': 253.36135309411858, 'offset': -13.279406439450803} >> Running individual: {'amp': 69.66038243498235, 'period': 254.06300689396951, 'offset': -13.120343518984367} >> Running individual: {'amp': 65.6271314806003, 'period': 258.9092418350481, 'offset': -8.773670629970278} >> Running individual: {'amp': 67.55812874565868, 'period': 256.5473233238182, 'offset': -8.151676518973643} >> Running individual: {'amp': 65.10001250249414, 'period': 253.10138991834668, 'offset': -12.057148211167299} >> Running individual: {'amp': 67.18053245170513, 'period': 250.0796825536957, 'offset': -14.28077081103062} >> Running individual: {'amp': 64.82723452158179, 'period': 260.495874425448, 'offset': -11.632566217335324} >> Running individual: {'amp': 63.67383740343462, 'period': 252.44753883143474, 'offset': -9.893952613942185} Target average_minimum (weight 1.0): target val: -75.0, actual: -78.41134287358904, cost: 4.8270749175460814e-05, fitness inc: 4.8270749175460814e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.88322767007666, cost: 7.492539215170346e-05, fitness inc: 7.492539215170346e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8412291933412632, cost: 3.676056180479392e-05, fitness inc: 3.676056180479392e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.10000000000058, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.40000000005915, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.3000000000049, cost: 3.960536468627929e-05, fitness inc: 3.960536468627929e-05 Fitness: 0.00028031827357077876 Target average_minimum (weight 1.0): target val: -75.0, actual: -71.79238704043458, cost: 4.267756597786665e-05, fitness inc: 4.267756597786665e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.71454774559117, cost: 6.285185325527465e-07, fitness inc: 6.285185325527465e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8255547054316823, cost: 4.4376806773605004e-05, fitness inc: 4.4376806773605004e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.40000000000056, cost: 5.0233209831218595e-05, fitness inc: 5.0233209831218595e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 261.40000000005944, cost: 4.851604607913895e-05, fitness inc: 4.851604607913895e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 261.40000000000526, cost: 4.851604607913895e-05, fitness inc: 4.851604607913895e-05 Fitness: 0.0002349481932735209 Target average_minimum (weight 1.0): target val: -75.0, actual: -81.14892409525977, cost: 0.0001568138486444104, fitness inc: 0.0001568138486444104 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.590111013205615, cost: 1.2959353680175312e-06, fitness inc: 1.2959353680175312e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.946849098802176, cost: 4.119801378488219e-06, fitness inc: 4.119801378488219e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.30000000000063, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.40000000005756, cost: 4.315714707936458e-06, fitness inc: 4.315714707936458e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.3000000000576, cost: 4.06558347121333e-06, fitness inc: 4.06558347121333e-06 Fitness: 0.00017443380228854277 Target average_minimum (weight 1.0): target val: -75.0, actual: -82.7807042756583, cost: 0.0002510631814803821, fitness inc: 0.0002510631814803821 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.54002578056237, cost: 1.8293611159903023e-05, fitness inc: 1.8293611159903023e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9359748097606055, cost: 5.978000699791153e-06, fitness inc: 5.978000699791153e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.10000000005778, cost: 6.27569394862082e-06, fitness inc: 6.27569394862082e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 254.0000000000577, cost: 5.973297653061316e-06, fitness inc: 5.973297653061316e-06 Fitness: 0.0002935570825945977 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.40079950454104, cost: 1.4893540107863146e-06, fitness inc: 1.4893540107863146e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.853430893126365, cost: 2.6496755235916325e-05, fitness inc: 2.6496755235916325e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.861997940267158, cost: 2.777255771191367e-05, fitness inc: 2.777255771191367e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.7000000000006, cost: 2.8910097515488786e-05, fitness inc: 2.8910097515488786e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 259.0000000000589, cost: 3.0239085570094026e-05, fitness inc: 3.0239085570094026e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 258.90000000000447, cost: 2.957085887189681e-05, fitness inc: 2.957085887189681e-05 Fitness: 0.00014447870891609593 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.70979232420801, cost: 2.0898540055158676e-06, fitness inc: 2.0898540055158676e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.406436788212744, cost: 0.0001497481464366457, fitness inc: 0.0001497481464366457 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8976224503047043, cost: 1.528479528201121e-05, fitness inc: 1.528479528201121e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.10000000000063, cost: 1.529149949985875e-05, fitness inc: 1.529149949985875e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 256.60000000005834, cost: 1.626213553862499e-05, fitness inc: 1.626213553862499e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 256.50000000005826, cost: 1.577308453959425e-05, fitness inc: 1.577308453959425e-05 Fitness: 0.00021444951530225076 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.15714559230962, cost: 1.930211023326578e-05, fitness inc: 1.930211023326578e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.04285402657421, cost: 2.9545069243908095e-05, fitness inc: 2.9545069243908095e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.95100750691365, cost: 3.500373299658577e-06, fitness inc: 3.500373299658577e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.30000000000063, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.10000000005755, cost: 3.5877204614953584e-06, fitness inc: 3.5877204614953584e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.1000000000028, cost: 3.5877204614953584e-06, fitness inc: 3.5877204614953584e-06 Fitness: 6.334591241830001e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -81.46127823635685, cost: 0.00017314738672147278, fitness inc: 0.00017314738672147278 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.89974833695818, cost: 3.4023524825177454e-05, fitness inc: 3.4023524825177454e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 0.00020718210856196517 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.45978094866985, cost: 8.839461375420576e-06, fitness inc: 8.839461375420576e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.19466194146859, cost: 2.5139553705089135e-05, fitness inc: 2.5139553705089135e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8387715930896054, cost: 3.7907353470312266e-05, fitness inc: 3.7907353470312266e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.10000000000058, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.50000000005923, cost: 4.115830592421599e-05, fitness inc: 4.115830592421599e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.50000000000495, cost: 4.115830592421599e-05, fitness inc: 4.115830592421599e-05 Fitness: 0.0001945810832755246 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.56777359472518, cost: 8.508909720261748e-06, fitness inc: 8.508909720261748e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.77986552953908, cost: 1.1483170484716254e-05, fitness inc: 1.1483170484716254e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.960918933191887, cost: 2.2273509721060236e-06, fitness inc: 2.2273509721060236e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.40000000005733, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Fitness: 2.8853549817853263e-05 >>>>> Evaluating: >>>>> [64.86172897245606, 252.4447636165808, -10.9195851383732] >>>>> [63.24034229338261, 252.95780198114792, -12.115765101190005] >>>>> [67.82904637411636, 253.956573109823, -11.972764041806183] >>>>> [68.00879689761442, 252.4401636190739, -11.892100164576128] >>>>> [65.10567946916655, 257.18779103105226, -11.852647766027893] >>>>> [64.39594650739427, 260.5548879267992, -12.088386097173627] >>>>> [66.12239396417553, 248.44479581801443, -13.880809990425647] >>>>> [65.58459991820975, 250.070763694111, -12.742095209637261] >>>>> [65.06197017313205, 260.0353841958424, -11.365803544282677] >>>>> [66.372139857137, 257.6054006397142, -10.457147262410196] >> Running individual: {'amp': 64.86172897245606, 'period': 252.4447636165808, 'offset': -10.9195851383732} >> Running individual: {'amp': 63.24034229338261, 'period': 252.95780198114792, 'offset': -12.115765101190005} >> Running individual: {'amp': 67.82904637411636, 'period': 253.956573109823, 'offset': -11.972764041806183} >> Running individual: {'amp': 68.00879689761442, 'period': 252.4401636190739, 'offset': -11.892100164576128} >> Running individual: {'amp': 65.10567946916655, 'period': 257.18779103105226, 'offset': -11.852647766027893} >> Running individual: {'amp': 64.39594650739427, 'period': 260.5548879267992, 'offset': -12.088386097173627} >> Running individual: {'amp': 66.12239396417553, 'period': 248.44479581801443, 'offset': -13.880809990425647} >> Running individual: {'amp': 65.58459991820975, 'period': 250.070763694111, 'offset': -12.742095209637261} >> Running individual: {'amp': 65.06197017313205, 'period': 260.0353841958424, 'offset': -11.365803544282677} >> Running individual: {'amp': 66.372139857137, 'period': 257.6054006397142, 'offset': -10.457147262410196} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.7812998464171, cost: 2.5321453809290517e-06, fitness inc: 2.5321453809290517e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.94212306906365, cost: 8.632129570584901e-06, fitness inc: 8.632129570584901e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9614419648746004, cost: 2.168131655211347e-06, fitness inc: 2.168131655211347e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.50000000000264, cost: 2.3333278887927023e-06, fitness inc: 2.3333278887927023e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.40000000005733, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Fitness: 1.9966525247272493e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.35609400897727, cost: 5.259971174176314e-07, fitness inc: 5.259971174176314e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.124558906320786, cost: 0.00011583595314312856, fitness inc: 0.00011583595314312856 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.95308999868169, cost: 3.209122527603192e-06, fitness inc: 3.209122527603192e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.00000000005747, cost: 3.3599887104829307e-06, fitness inc: 3.3599887104829307e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.9000000000575, cost: 3.1397234756536108e-06, fitness inc: 3.1397234756536108e-06 Fitness: 0.0001289977097406192 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.80179647736128, cost: 9.56357393721019e-05, fitness inc: 9.56357393721019e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.856262063410156, cost: 5.65538735364246e-06, fitness inc: 5.65538735364246e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.937524609528197, cost: 5.692096954335035e-06, fitness inc: 5.692096954335035e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.00000000005775, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.90000000000305, cost: 5.678367755890257e-06, fitness inc: 5.678367755890257e-06 Fitness: 0.0001246081867416482 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.90088372416022, cost: 9.962303956134733e-05, fitness inc: 9.962303956134733e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.11667774553871, cost: 9.618402594724351e-06, fitness inc: 9.618402594724351e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9614419648746004, cost: 2.168131655211347e-06, fitness inc: 2.168131655211347e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.50000000000264, cost: 2.3333278887927023e-06, fitness inc: 2.3333278887927023e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.40000000005733, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Fitness: 0.00011804369245183022 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.95831643534565, cost: 1.590790860950264e-05, fitness inc: 1.590790860950264e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.25301921392823, cost: 2.3540595213811244e-05, fitness inc: 2.3540595213811244e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8880248833586446, cost: 1.8284871329599106e-05, fitness inc: 1.8284871329599106e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.30000000000062, cost: 1.9353225445328803e-05, fitness inc: 1.9353225445328803e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 257.2000000000585, cost: 1.9353225445328803e-05, fitness inc: 1.9353225445328803e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 257.20000000000397, cost: 1.9353225445328803e-05, fitness inc: 1.9353225445328803e-05 Fitness: 0.0001157930514888994 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.48432154394521, cost: 9.13915980582658e-06, fitness inc: 9.13915980582658e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.30754213723979, cost: 5.591456528653005e-05, fitness inc: 5.591456528653005e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.837789433285821, cost: 3.837058507383251e-05, fitness inc: 3.837058507383251e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.10000000000058, cost: 4.037810287627064e-05, fitness inc: 4.037810287627064e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.60000000005925, cost: 4.194597379481024e-05, fitness inc: 4.194597379481024e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.5000000000592, cost: 4.115830592466008e-05, fitness inc: 4.115830592466008e-05 Fitness: 0.0002269066927619301 Target average_minimum (weight 1.0): target val: -75.0, actual: -80.00318891779274, cost: 0.00010382524612040367, fitness inc: 0.00010382524612040367 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.241562084842606, cost: 5.8688410148666215e-05, fitness inc: 5.8688410148666215e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.025224741714128, cost: 9.279185477772955e-07, fitness inc: 9.279185477772955e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.10000000000061, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.5000000000015, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.40000000005642, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 0.0001661930389512678 Target average_minimum (weight 1.0): target val: -75.0, actual: -78.32667580972169, cost: 4.5904502221194576e-05, fitness inc: 4.5904502221194576e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.84248913918845, cost: 3.590391394980852e-05, fitness inc: 3.590391394980852e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.99893361770133, cost: 1.6583747708409646e-09, fitness inc: 1.6583747708409646e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.1000000000568, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.00000000005684, cost: 0.0, fitness inc: 0.0 Fitness: 8.181380787919412e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.42776003341216, cost: 8.455923158123824e-06, fitness inc: 8.455923158123824e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.696153926864014, cost: 1.3112888189836802e-05, fitness inc: 1.3112888189836802e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8456608127157117, cost: 3.473714602197919e-05, fitness inc: 3.473714602197919e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 65.00000000000058, cost: 3.733193960753223e-05, fitness inc: 3.733193960753223e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 260.1000000000591, cost: 3.8082283017826235e-05, fitness inc: 3.8082283017826235e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 260.00000000000483, cost: 3.733193960775427e-05, fitness inc: 3.733193960775427e-05 Fitness: 0.00016905211960305255 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.8292849721725, cost: 1.3880687066647468e-05, fitness inc: 1.3880687066647468e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.91499011144994, cost: 6.457752598443278e-06, fitness inc: 6.457752598443278e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.881987577639143, cost: 2.0309696428522095e-05, fitness inc: 2.0309696428522095e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.40000000000062, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 257.60000000005857, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 257.6000000000041, cost: 2.1563268348789855e-05, fitness inc: 2.1563268348789855e-05 Fitness: 0.0001053379411399824 >>>>> Evaluating: >>>>> [65.0523010607435, 254.80898520410534, -11.498914080793687] >>>>> [64.09593998113719, 255.3276153364604, -11.102908709044446] >>>>> [62.59609028834932, 255.46520993097383, -13.647359813076216] >>>>> [64.52353927654651, 259.7039661262513, -12.798921473554996] >>>>> [66.12239396417553, 245.9619281312108, -13.880809990425647] >>>>> [66.12239396417553, 248.44479581801443, -13.880809990425647] >>>>> [68.20914740636583, 253.956573109823, -11.614871425633092] >>>>> [69.0908813805831, 253.956573109823, -11.892100164576128] >>>>> [63.17853988631222, 251.56001926996856, -10.750313998886766] >>>>> [63.982002754761524, 252.23956632821742, -10.718307374568504] >> Running individual: {'amp': 65.0523010607435, 'period': 254.80898520410534, 'offset': -11.498914080793687} >> Running individual: {'amp': 64.09593998113719, 'period': 255.3276153364604, 'offset': -11.102908709044446} >> Running individual: {'amp': 62.59609028834932, 'period': 255.46520993097383, 'offset': -13.647359813076216} >> Running individual: {'amp': 64.52353927654651, 'period': 259.7039661262513, 'offset': -12.798921473554996} >> Running individual: {'amp': 66.12239396417553, 'period': 245.9619281312108, 'offset': -13.880809990425647} >> Running individual: {'amp': 66.12239396417553, 'period': 248.44479581801443, 'offset': -13.880809990425647} >> Running individual: {'amp': 68.20914740636583, 'period': 253.956573109823, 'offset': -11.614871425633092} >> Running individual: {'amp': 69.0908813805831, 'period': 253.956573109823, 'offset': -11.892100164576128} >> Running individual: {'amp': 63.17853988631222, 'period': 251.56001926996856, 'offset': -10.750313998886766} >> Running individual: {'amp': 63.982002754761524, 'period': 252.23956632821742, 'offset': -10.718307374568504} Target average_minimum (weight 1.0): target val: -75.0, actual: -76.55120918723871, cost: 9.981381614343476e-06, fitness inc: 9.981381614343476e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.553380094252745, cost: 1.6141848595663255e-05, fitness inc: 1.6141848595663255e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9246467817890274, cost: 8.28050486223475e-06, fitness inc: 8.28050486223475e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.700000000000635, cost: 8.60152601311892e-06, fitness inc: 8.60152601311892e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.80000000005793, cost: 8.60152601311892e-06, fitness inc: 8.60152601311892e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 254.80000000000328, cost: 8.60152601311892e-06, fitness inc: 8.60152601311892e-06 Fitness: 6.0208313111598244e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.19882948213308, cost: 1.639893898452982e-07, fitness inc: 1.639893898452982e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.99301652435092, cost: 3.106887348380827e-05, fitness inc: 3.106887348380827e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.916449086161269, cost: 1.018016436782343e-05, fitness inc: 1.018016436782343e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.80000000000064, cost: 1.0094831426554762e-05, fitness inc: 1.0094831426554762e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 255.40000000000344, cost: 1.088628148726567e-05, fitness inc: 1.088628148726567e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 255.300000000058, cost: 1.0486823358912822e-05, fitness inc: 1.0486823358912822e-05 Fitness: 7.288096351421025e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.24343654023906, cost: 6.4135535369214125e-06, fitness inc: 6.4135535369214125e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 48.94871349048054, cost: 0.0002823736629149476, fitness inc: 0.0002823736629149476 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.914405010437803, cost: 1.0684368273672362e-05, fitness inc: 1.0684368273672362e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.90000000000064, cost: 1.1707596263788034e-05, fitness inc: 1.1707596263788034e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 255.5000000000581, cost: 1.1293205795404049e-05, fitness inc: 1.1293205795404049e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 255.40000000000347, cost: 1.0886281487487715e-05, fitness inc: 1.0886281487487715e-05 Fitness: 0.00033335866827222116 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.32245439333506, cost: 2.2373757693427976e-05, fitness inc: 2.2373757693427976e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.72459816618938, cost: 8.274554953369151e-05, fitness inc: 8.274554953369151e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8505968425099826, cost: 3.255084129882846e-05, fitness inc: 3.255084129882846e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.90000000000059, cost: 3.440521624031856e-05, fitness inc: 3.440521624031856e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 259.70000000005905, cost: 3.5125699475280214e-05, fitness inc: 3.5125699475280214e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 259.7000000000047, cost: 3.5125699475280214e-05, fitness inc: 3.5125699475280214e-05 Fitness: 0.00024232676371682693 Target average_minimum (weight 1.0): target val: -75.0, actual: -80.00318992225682, cost: 0.0001038252878050594, fitness inc: 0.0001038252878050594 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.2415671226306, cost: 5.868819579402107e-05, fitness inc: 5.868819579402107e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.065591543568969, cost: 6.274076076229207e-06, fitness inc: 6.274076076229207e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 61.500000000000604, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 246.00000000005593, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 245.90000000005585, cost: 6.27569394862082e-06, fitness inc: 6.27569394862082e-06 Fitness: 0.00018700984892960903 Target average_minimum (weight 1.0): target val: -75.0, actual: -80.00318891779274, cost: 0.00010382524612040367, fitness inc: 0.00010382524612040367 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.241562084842606, cost: 5.8688410148666215e-05, fitness inc: 5.8688410148666215e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.025224741714128, cost: 9.279185477772955e-07, fitness inc: 9.279185477772955e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.10000000000061, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.5000000000015, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.40000000005642, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 0.0001661930389512678 Target average_minimum (weight 1.0): target val: -75.0, actual: -79.82400481532862, cost: 9.652233125623244e-05, fitness inc: 9.652233125623244e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.59425559824968, cost: 1.9604636463665948e-05, fitness inc: 1.9604636463665948e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.937524609528197, cost: 5.692096954335035e-06, fitness inc: 5.692096954335035e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.00000000005775, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.90000000000305, cost: 5.678367755890257e-06, fitness inc: 5.678367755890257e-06 Fitness: 0.00013944402773580222 Target average_minimum (weight 1.0): target val: -75.0, actual: -80.9829673472966, cost: 0.00014846464413309501, fitness inc: 0.00014846464413309501 Target average_maximum (weight 1.0): target val: 55.0, actual: 57.198760570041244, cost: 3.7289889093461426e-05, fitness inc: 3.7289889093461426e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.937524609528197, cost: 5.692096954335035e-06, fitness inc: 5.692096954335035e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.00000000005775, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.90000000000305, cost: 5.678367755890257e-06, fitness inc: 5.678367755890257e-06 Fitness: 0.00020907159324246027 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.92884140356664, cost: 4.7594826337871154e-06, fitness inc: 4.7594826337871154e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.42820817785903, cost: 5.1015350177374685e-05, fitness inc: 5.1015350177374685e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.975089439511774, cost: 9.049475491185177e-07, fitness inc: 9.049475491185177e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.50000000005713, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Fitness: 5.943124449470094e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.70029371888211, cost: 3.726025188388604e-07, fitness inc: 3.726025188388604e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.26367756363156, cost: 2.3254235229308584e-05, fitness inc: 2.3254235229308584e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9645830580144508, cost: 1.829271332409732e-06, fitness inc: 1.829271332409732e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.30000000005737, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.20000000000258, cost: 1.8069300683487555e-06, fitness inc: 1.8069300683487555e-06 Fitness: 3.138836395777389e-05 >>>>> Evaluating: >>>>> [64.61471358745649, 251.02504344898895, -11.466098719402096] >>>>> [64.18022372050821, 253.05205789370555, -11.527009199253255] >>>>> [65.04431946958759, 251.27985036732824, -11.278340803788119] >>>>> [65.19315709730246, 251.60312461032072, -11.6602927040003] >>>>> [64.85617744291224, 252.39561650200787, -10.508886093389672] >>>>> [64.86176898092955, 251.43442045490448, -11.837472258746173] >>>>> [63.077670783085615, 255.0320088977888, -11.102908709044446] >>>>> [64.71892264862261, 255.3276153364604, -11.875158738408587] >>>>> [65.77969925341587, 252.56830017764682, -10.101010809119275] >>>>> [66.13463336041573, 256.9062140204872, -11.689154426802602] >> Running individual: {'amp': 64.61471358745649, 'period': 251.02504344898895, 'offset': -11.466098719402096} >> Running individual: {'amp': 64.18022372050821, 'period': 253.05205789370555, 'offset': -11.527009199253255} >> Running individual: {'amp': 65.04431946958759, 'period': 251.27985036732824, 'offset': -11.278340803788119} >> Running individual: {'amp': 65.19315709730246, 'period': 251.60312461032072, 'offset': -11.6602927040003} >> Running individual: {'amp': 64.85617744291224, 'period': 252.39561650200787, 'offset': -10.508886093389672} >> Running individual: {'amp': 64.86176898092955, 'period': 251.43442045490448, 'offset': -11.837472258746173} >> Running individual: {'amp': 63.077670783085615, 'period': 255.0320088977888, 'offset': -11.102908709044446} >> Running individual: {'amp': 64.71892264862261, 'period': 255.3276153364604, 'offset': -11.875158738408587} >> Running individual: {'amp': 65.77969925341587, 'period': 252.56830017764682, 'offset': -10.101010809119275} >> Running individual: {'amp': 66.13463336041573, 'period': 256.9062140204872, 'offset': -11.689154426802602} Target average_minimum (weight 1.0): target val: -75.0, actual: -76.08080307232962, cost: 4.845574723688628e-06, fitness inc: 4.845574723688628e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.14859822840571, cost: 2.643877164942854e-05, fitness inc: 2.643877164942854e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.984063745019305, cost: 3.703643542962709e-07, fitness inc: 3.703643542962709e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.00000000000222, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 3.293897682654645e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.70722067908002, cost: 2.0747379902985585e-06, fitness inc: 2.0747379902985585e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.653199467163795, cost: 4.248007876728188e-05, fitness inc: 4.248007876728188e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.952048478460722, cost: 3.3532051987306133e-06, fitness inc: 3.3532051987306133e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.30000000000063, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.1000000000575, cost: 3.5877204614953584e-06, fitness inc: 3.5877204614953584e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.00000000000279, cost: 3.3599887104829307e-06, fitness inc: 3.3599887104829307e-06 Fitness: 5.8678649846766184e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.32263606352586, cost: 7.25657732436602e-06, fitness inc: 7.25657732436602e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.76596620478549, cost: 1.174628169731129e-05, fitness inc: 1.174628169731129e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.979307600476902, cost: 6.244220656093091e-07, fitness inc: 6.244220656093091e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.30000000005714, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.30000000000229, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Fitness: 2.1426746668828933e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.85344906118094, cost: 1.4249820025291626e-05, fitness inc: 1.4249820025291626e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.53286353740711, cost: 1.660294835847953e-05, fitness inc: 1.660294835847953e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.974562798091595, cost: 9.436155026243398e-07, fitness inc: 9.436155026243398e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 3.46635811463436e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.36506209627406, cost: 5.528247840613787e-07, fitness inc: 5.528247840613787e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.34728968423896, cost: 3.286176852967948e-06, fitness inc: 3.286176852967948e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9619651347062006, cost: 2.1096948920051872e-06, fitness inc: 2.1096948920051872e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.4000000000574, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.40000000000262, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Fitness: 1.239988265666625e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.69922312185263, cost: 1.1977050341061002e-05, fitness inc: 1.1977050341061002e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.02427662390011, cost: 3.0108603099820996e-05, fitness inc: 3.0108603099820996e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9771974015637497, cost: 7.582722308940859e-07, fitness inc: 7.582722308940859e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.50000000005718, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.40000000000234, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 4.537139018401248e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.18056572365451, cost: 2.7853597870386437e-06, fitness inc: 2.7853597870386437e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.9747407206285, cost: 7.059045019242038e-05, fitness inc: 7.059045019242038e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9210560711012055, cost: 9.088460600992221e-06, fitness inc: 9.088460600992221e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.80000000000064, cost: 1.0094831426554762e-05, fitness inc: 1.0094831426554762e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 255.100000000058, cost: 9.710305709176303e-06, fitness inc: 9.710305709176303e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 255.00000000000335, cost: 9.333246222986702e-06, fitness inc: 9.333246222986702e-06 Fitness: 0.00011160265393916902 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.59406199228935, cost: 1.0540472865749884e-05, fitness inc: 1.0540472865749884e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.84374901913102, cost: 3.5861995466235363e-05, fitness inc: 3.5861995466235363e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.916449086161269, cost: 1.018016436782343e-05, fitness inc: 1.018016436782343e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.80000000000064, cost: 1.0094831426554762e-05, fitness inc: 1.0094831426554762e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 255.40000000000344, cost: 1.088628148726567e-05, fitness inc: 1.088628148726567e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 255.300000000058, cost: 1.0486823358912822e-05, fitness inc: 1.0486823358912822e-05 Fitness: 8.805056897254193e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.88069581648193, cost: 3.2173975583749126e-06, fitness inc: 3.2173975583749126e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.678665344818114, cost: 3.552721870470066e-06, fitness inc: 3.552721870470066e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9593506664900815, cost: 2.409697985594761e-06, fitness inc: 2.409697985594761e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005738, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 1.61872676435193e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.82378333152187, cost: 3.30752118453681e-05, fitness inc: 3.30752118453681e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.44545252339499, cost: 2.3720718681508046e-06, fitness inc: 2.3720718681508046e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.8925652004664983, cost: 1.683214439385239e-05, fitness inc: 1.683214439385239e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.20000000000063, cost: 1.7262635329529097e-05, fitness inc: 1.7262635329529097e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 256.9000000000584, cost: 1.7774084076327412e-05, fitness inc: 1.7774084076327412e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 256.9000000000039, cost: 1.7774084076327412e-05, fitness inc: 1.7774084076327412e-05 Fitness: 0.00010509023158955522 >>>>> Evaluating: >>>>> [63.90854901226357, 252.52979977276493, -10.13179121648988] >>>>> [63.72571707743393, 252.89606617593915, -10.198281558233349] >>>>> [64.07714727305152, 251.3725683715363, -11.642013319214486] >>>>> [64.22384818800258, 248.6747748863975, -11.509662419568865] >>>>> [65.19315709730246, 251.60312461032072, -11.6602927040003] >>>>> [65.19315709730246, 251.60312461032072, -11.040281186448771] >>>>> [64.05796907510722, 253.13817818634652, -12.466395352100912] >>>>> [64.25310510648211, 251.4102331922363, -11.10375776069742] >>>>> [64.16666954103748, 255.30088424505513, -13.226952165191488] >>>>> [64.34746580100236, 252.35732277993773, -11.19646430788361] >> Running individual: {'amp': 63.90854901226357, 'period': 252.52979977276493, 'offset': -10.13179121648988} >> Running individual: {'amp': 63.72571707743393, 'period': 252.89606617593915, 'offset': -10.198281558233349} >> Running individual: {'amp': 64.07714727305152, 'period': 251.3725683715363, 'offset': -11.642013319214486} >> Running individual: {'amp': 64.22384818800258, 'period': 248.6747748863975, 'offset': -11.509662419568865} >> Running individual: {'amp': 65.19315709730246, 'period': 251.60312461032072, 'offset': -11.6602927040003} >> Running individual: {'amp': 65.19315709730246, 'period': 251.60312461032072, 'offset': -11.040281186448771} >> Running individual: {'amp': 64.05796907510722, 'period': 253.13817818634652, 'offset': -12.466395352100912} >> Running individual: {'amp': 64.25310510648211, 'period': 251.4102331922363, 'offset': -11.10375776069742} >> Running individual: {'amp': 64.16666954103748, 'period': 255.30088424505513, 'offset': -13.226952165191488} >> Running individual: {'amp': 64.34746580100236, 'period': 252.35732277993773, 'offset': -11.19646430788361} Target average_minimum (weight 1.0): target val: -75.0, actual: -74.0403231012345, cost: 3.820345849336881e-06, fitness inc: 3.820345849336881e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.776742867107394, cost: 1.1542022253840933e-05, fitness inc: 1.1542022253840933e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.959873284054296, cost: 2.348134762963916e-06, fitness inc: 2.348134762963916e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000000267, cost: 2.5237269639655224e-06, fitness inc: 2.5237269639655224e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.50000000005736, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 2.4717953094999245e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.92397843823234, cost: 4.802795783187541e-06, fitness inc: 4.802795783187541e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.52742868405329, cost: 1.6726181898296666e-05, fitness inc: 1.6726181898296666e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.954132068010458, cost: 3.068130231320687e-06, fitness inc: 3.068130231320687e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.9000000000575, cost: 3.139723475431566e-06, fitness inc: 3.139723475431566e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.90000000000276, cost: 3.139723475431566e-06, fitness inc: 3.139723475431566e-06 Fitness: 3.38034796300013e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.71915047088434, cost: 2.145323870661464e-06, fitness inc: 2.145323870661464e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.43511504593209, cost: 5.0741715828861444e-05, fitness inc: 5.0741715828861444e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.977724741447277, cost: 7.236057275594732e-07, fitness inc: 7.236057275594732e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.40000000005716, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.4000000000023, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 5.561171073376059e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.73349439799897, cost: 2.23175692937172e-06, fitness inc: 2.23175692937172e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.714169105848164, cost: 4.030158247914084e-05, fitness inc: 4.030158247914084e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.021447721179007, cost: 6.708398013755001e-07, fitness inc: 6.708398013755001e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.70000000005655, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.60000000000156, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 4.510444465399832e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.85344906118094, cost: 1.4249820025291626e-05, fitness inc: 1.4249820025291626e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.53286353740711, cost: 1.660294835847953e-05, fitness inc: 1.660294835847953e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.974562798091595, cost: 9.436155026243398e-07, fitness inc: 9.436155026243398e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 3.46635811463436e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.2334375436294, cost: 6.310820746979751e-06, fitness inc: 6.310820746979751e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.152875054958635, cost: 5.535335428907828e-06, fitness inc: 5.535335428907828e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.974562798091595, cost: 9.436155026243398e-07, fitness inc: 9.436155026243398e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 1.5656968938460025e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.52434392957689, cost: 9.638645412479718e-06, fitness inc: 9.638645412479718e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.591562451760055, cost: 8.960312829187078e-05, fitness inc: 8.960312829187078e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9504872267573536, cost: 3.5751128432126578e-06, fitness inc: 3.5751128432126578e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.30000000000063, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.2000000000575, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.1000000000028, cost: 3.5877204614953584e-06, fitness inc: 3.5877204614953584e-06 Fitness: 0.0001140504444460122 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.35684080068404, cost: 5.282056464439577e-07, fitness inc: 5.282056464439577e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.149324053553414, cost: 2.6418046102816284e-05, fitness inc: 2.6418046102816284e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.977724741447277, cost: 7.236057275594732e-07, fitness inc: 7.236057275594732e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.40000000005716, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.40000000000234, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 3.0089055492399375e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.39361100763013, cost: 2.3765725897351153e-05, fitness inc: 2.3765725897351153e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 50.93970366130196, cost: 0.0001271486185078219, fitness inc: 0.0001271486185078219 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.916960438698958, cost: 1.0055936624286943e-05, fitness inc: 1.0055936624286943e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.80000000000064, cost: 1.0094831426554762e-05, fitness inc: 1.0094831426554762e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 255.30000000005805, cost: 1.0486823358690778e-05, fitness inc: 1.0486823358690778e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 255.30000000000342, cost: 1.0486823358690778e-05, fitness inc: 1.0486823358690778e-05 Fitness: 0.0001920387591733963 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.54391703308266, cost: 1.227210447818372e-06, fitness inc: 1.227210447818372e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.150982525848555, cost: 2.6370719815260735e-05, fitness inc: 2.6370719815260735e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.962488442741428, cost: 2.0520413090974188e-06, fitness inc: 2.0520413090974188e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.4000000000574, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.3000000000026, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Fitness: 3.592569175692173e-05 >>>>> Evaluating: >>>>> [63.929316302486605, 252.1577703418078, -12.059200059616732] >>>>> [63.964793384781615, 253.68644916416818, -9.25609360434381] >>>>> [63.66023136691733, 252.44107888075038, -10.240743803849597] >>>>> [64.56580389967392, 250.99625644488594, -10.577948307173815] >>>>> [66.0805888284386, 252.2894676579078, -8.77892925940688] >>>>> [64.9218371907662, 250.11737986546817, -10.87622402800492] >>>>> [65.72896285331223, 252.56830017764682, -10.101010809119275] >>>>> [65.77969925341587, 252.56830017764682, -10.101010809119275] >>>>> [64.31824669798776, 251.51284278324266, -11.383672600010033] >>>>> [64.74063578243228, 252.54718108151738, -11.108376481506054] >> Running individual: {'amp': 63.929316302486605, 'period': 252.1577703418078, 'offset': -12.059200059616732} >> Running individual: {'amp': 63.964793384781615, 'period': 253.68644916416818, 'offset': -9.25609360434381} >> Running individual: {'amp': 63.66023136691733, 'period': 252.44107888075038, 'offset': -10.240743803849597} >> Running individual: {'amp': 64.56580389967392, 'period': 250.99625644488594, 'offset': -10.577948307173815} >> Running individual: {'amp': 66.0805888284386, 'period': 252.2894676579078, 'offset': -8.77892925940688} >> Running individual: {'amp': 64.9218371907662, 'period': 250.11737986546817, 'offset': -10.87622402800492} >> Running individual: {'amp': 65.72896285331223, 'period': 252.56830017764682, 'offset': -10.101010809119275} >> Running individual: {'amp': 65.77969925341587, 'period': 252.56830017764682, 'offset': -10.101010809119275} >> Running individual: {'amp': 64.31824669798776, 'period': 251.51284278324266, 'offset': -11.383672600010033} >> Running individual: {'amp': 64.74063578243228, 'period': 252.54718108151738, 'offset': -11.108376481506054} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.9885027719863, cost: 4.0532956369077056e-06, fitness inc: 4.0532956369077056e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.870097623599676, cost: 7.555795139180255e-05, fitness inc: 7.555795139180255e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9656311962981303, cost: 1.7226017565707963e-06, fitness inc: 1.7226017565707963e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.000000000000625, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.2000000000573, cost: 1.8069300683487555e-06, fitness inc: 1.8069300683487555e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.10000000005732, cost: 1.6463972895008894e-06, fitness inc: 1.6463972895008894e-06 Fitness: 8.628050724657221e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.220854072152, cost: 1.313021078230836e-05, fitness inc: 1.313021078230836e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.70869524481978, cost: 6.545551888281764e-07, fitness inc: 6.545551888281764e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9416633819465696, cost: 4.962918502937619e-06, fitness inc: 4.962918502937619e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.40000000000063, cost: 4.838376589932913e-06, fitness inc: 4.838376589932913e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.70000000005768, cost: 5.110907211891558e-06, fitness inc: 5.110907211891558e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.70000000000297, cost: 5.110907211891558e-06, fitness inc: 5.110907211891558e-06 Fitness: 3.3807875487790184e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.90096263213259, cost: 5.010453088871714e-06, fitness inc: 5.010453088871714e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.41946955771782, cost: 1.9268538196115514e-05, fitness inc: 1.9268538196115514e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9614419648746004, cost: 2.168131655211347e-06, fitness inc: 2.168131655211347e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.50000000000264, cost: 2.3333278887927023e-06, fitness inc: 2.3333278887927023e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.40000000005733, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Fitness: 3.308124158074577e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.14371382755566, cost: 8.567445175522437e-08, fitness inc: 8.567445175522437e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.987817047828095, cost: 7.902527412562144e-06, fitness inc: 7.902527412562144e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.984063745019305, cost: 3.703643542962709e-07, fitness inc: 3.703643542962709e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.00000000000222, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 9.344165882940736e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.8595156881696, cost: 8.186718924996228e-08, fitness inc: 8.186718924996228e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 57.30162752903922, cost: 4.086050663409946e-05, fitness inc: 4.086050663409946e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.964059196616722, cost: 1.8837859169229532e-06, fitness inc: 1.8837859169229532e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.3000000000573, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.20000000005734, cost: 1.8069300683487555e-06, fitness inc: 1.8069300683487555e-06 Fitness: 4.875841461748909e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.79805649306321, cost: 2.641924375934579e-06, fitness inc: 2.641924375934579e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.04558921786188, cost: 7.026176073288148e-06, fitness inc: 7.026176073288148e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9978678038373374, cost: 6.629963245075032e-09, fitness inc: 6.629963245075032e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.20000000005683, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 9.6933970789026e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.82995942736638, cost: 2.8573717214541716e-06, fitness inc: 2.8573717214541716e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.62792896253128, cost: 3.041383007773568e-06, fitness inc: 3.041383007773568e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9593506664900815, cost: 2.409697985594761e-06, fitness inc: 2.409697985594761e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005738, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 1.531590294390206e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.88069581648193, cost: 3.2173975583749126e-06, fitness inc: 3.2173975583749126e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.678665344818114, cost: 3.552721870470066e-06, fitness inc: 3.552721870470066e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9593506664900815, cost: 2.409697985594761e-06, fitness inc: 2.409697985594761e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005738, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 1.61872676435193e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.70188566141805, cost: 2.0435539701546546e-06, fitness inc: 2.0435539701546546e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.9345698321839, cost: 3.2904716083526075e-05, fitness inc: 3.2904716083526075e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.976143141152467, cost: 8.300093107260764e-07, fitness inc: 8.300093107260764e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.50000000005718, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.50000000000236, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Fitness: 3.8414010373299945e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.8489993672726, cost: 2.9899759366180945e-06, fitness inc: 2.9899759366180945e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.63224401982312, cost: 1.4429868854914929e-05, fitness inc: 1.4429868854914929e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9593506664900815, cost: 2.409697985594761e-06, fitness inc: 2.409697985594761e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005743, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.50000000005736, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 2.6836993006207344e-05 >>>>> Evaluating: >>>>> [64.67423608915885, 251.23537520985744, -10.280547511840325] >>>>> [65.15208624812873, 250.70860044838398, -10.75018080968317] >>>>> [65.45358065218176, 252.56830017764682, -11.116699766434364] >>>>> [65.42335877477812, 252.56830017764682, -11.383227061264055] >>>>> [64.48228997177047, 251.5841811163309, -10.62638074670829] >>>>> [64.91181494599206, 250.1689663936714, -10.465771863598938] >>>>> [66.36419707214662, 250.79543124221246, -10.713426480896933] >>>>> [66.28553491069803, 251.2498023534943, -10.898913086796057] >>>>> [65.05573308947507, 252.48468868560613, -11.847081776991601] >>>>> [64.6100431124905, 252.3459938884034, -11.316136011368657] >> Running individual: {'amp': 64.67423608915885, 'period': 251.23537520985744, 'offset': -10.280547511840325} >> Running individual: {'amp': 65.15208624812873, 'period': 250.70860044838398, 'offset': -10.75018080968317} >> Running individual: {'amp': 65.45358065218176, 'period': 252.56830017764682, 'offset': -11.116699766434364} >> Running individual: {'amp': 65.42335877477812, 'period': 252.56830017764682, 'offset': -11.383227061264055} >> Running individual: {'amp': 64.48228997177047, 'period': 251.5841811163309, 'offset': -10.62638074670829} >> Running individual: {'amp': 64.91181494599206, 'period': 250.1689663936714, 'offset': -10.465771863598938} >> Running individual: {'amp': 66.36419707214662, 'period': 250.79543124221246, 'offset': -10.713426480896933} >> Running individual: {'amp': 66.28553491069803, 'period': 251.2498023534943, 'offset': -10.898913086796057} >> Running individual: {'amp': 65.05573308947507, 'period': 252.48468868560613, 'offset': -11.847081776991601} >> Running individual: {'amp': 64.6100431124905, 'period': 252.3459938884034, 'offset': -11.316136011368657} Target average_minimum (weight 1.0): target val: -75.0, actual: -74.95476902238649, cost: 8.486452762745955e-09, fitness inc: 8.486452762745955e-09 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.393675056498026, cost: 2.835704972281583e-06, fitness inc: 2.835704972281583e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98036353986936, cost: 5.623192598225302e-07, fitness inc: 5.623192598225302e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.30000000005708, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.20000000000226, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Fitness: 5.11264304225989e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.90223322863007, cost: 3.3766840599191994e-06, fitness inc: 3.3766840599191994e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.40190152132368, cost: 2.7592789222374847e-06, fitness inc: 2.7592789222374847e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 6.92267601842822e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.57026624319114, cost: 1.0228133915490822e-05, fitness inc: 1.0228133915490822e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.3368579007901, cost: 3.3920569304513037e-06, fitness inc: 3.3920569304513037e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9593506664900815, cost: 2.409697985594761e-06, fitness inc: 2.409697985594761e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005738, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 2.3037339060616446e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.8065716671624, cost: 1.3538132758061927e-05, fitness inc: 1.3538132758061927e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.040108739169625, cost: 7.107099492364988e-06, fitness inc: 7.107099492364988e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9593506664900815, cost: 2.409697985594761e-06, fitness inc: 2.409697985594761e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005738, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 3.0062380465101235e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.10865195268418, cost: 4.896991034897269e-08, fitness inc: 4.896991034897269e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.85588894294294, cost: 1.0096791471125854e-05, fitness inc: 1.0096791471125854e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.975089439511774, cost: 9.049475491185177e-07, fitness inc: 9.049475491185177e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.60000000005715, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.50000000005718, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Fitness: 1.3802173065013967e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.37757328451063, cost: 5.913662257661656e-07, fitness inc: 5.913662257661656e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.44601893501048, cost: 2.3672287130516168e-06, fitness inc: 2.3672287130516168e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.997335109926099, cost: 1.0356556834345554e-08, fitness inc: 1.0356556834345554e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.20000000005683, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 2.9876181620869247e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.07762193185918, cost: 1.790521435585113e-05, fitness inc: 1.790521435585113e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.650768716472236, cost: 3.266655396627627e-06, fitness inc: 3.266655396627627e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987240829345477, cost: 2.3741141252919817e-07, fitness inc: 2.3741141252919817e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.80000000000217, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 2.2126080993833952e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.18442778206614, cost: 1.97934293356683e-05, fitness inc: 1.97934293356683e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.386605345777184, cost: 1.1528866639132218e-06, fitness inc: 1.1528866639132218e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.979835500132046, cost: 5.929682701522054e-07, fitness inc: 5.929682701522054e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.30000000005714, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.20000000005706, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Fitness: 2.3245416627126758e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.90278306051458, cost: 1.5018490665319462e-05, fitness inc: 1.5018490665319462e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.208645344493036, cost: 2.4751630330666075e-05, fitness inc: 2.4751630330666075e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9603960396033466, cost: 2.2873522165234306e-06, fitness inc: 2.2873522165234306e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.5000000000574, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.50000000000264, cost: 2.333327889014747e-06, fitness inc: 2.333327889014747e-06 Fitness: 4.8874524366415706e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.92615225544283, cost: 3.5580946002866654e-06, fitness inc: 3.5580946002866654e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.293895584221346, cost: 2.2451888124774833e-05, fitness inc: 2.2451888124774833e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9630118890350525, cost: 1.9951715336530285e-06, fitness inc: 1.9951715336530285e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.40000000005733, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.3000000000026, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Fitness: 3.428087444345973e-05 >>>>> Evaluating: >>>>> [64.91947843124532, 252.71123294154847, -10.491569800425502] >>>>> [63.80683172887535, 254.89339074108082, -9.312611540291181] >>>>> [64.62305507772517, 251.17496832279122, -12.153036692101855] >>>>> [65.37806998602532, 251.20509387886733, -10.558570851034927] >>>>> [65.5926430969807, 250.7235421421043, -11.854585725991381] >>>>> [66.12788069450166, 251.2368405955356, -9.580212155643727] >>>>> [62.90324126322192, 251.2569399391397, -10.620253255387352] >>>>> [64.51223798712506, 251.45333925071907, -9.960435613074859] >>>>> [65.81568004308285, 252.21911738825844, -11.65081823778647] >>>>> [67.20842059521331, 252.40947087828303, -11.464562598141644] >> Running individual: {'amp': 64.91947843124532, 'period': 252.71123294154847, 'offset': -10.491569800425502} >> Running individual: {'amp': 63.80683172887535, 'period': 254.89339074108082, 'offset': -9.312611540291181} >> Running individual: {'amp': 64.62305507772517, 'period': 251.17496832279122, 'offset': -12.153036692101855} >> Running individual: {'amp': 65.37806998602532, 'period': 251.20509387886733, 'offset': -10.558570851034927} >> Running individual: {'amp': 65.5926430969807, 'period': 250.7235421421043, 'offset': -11.854585725991381} >> Running individual: {'amp': 66.12788069450166, 'period': 251.2368405955356, 'offset': -9.580212155643727} >> Running individual: {'amp': 62.90324126322192, 'period': 251.2569399391397, 'offset': -10.620253255387352} >> Running individual: {'amp': 64.51223798712506, 'period': 251.45333925071907, 'offset': -9.960435613074859} >> Running individual: {'amp': 65.81568004308285, 'period': 252.21911738825844, 'offset': -11.65081823778647} >> Running individual: {'amp': 67.20842059521331, 'period': 252.40947087828303, 'offset': -11.464562598141644} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.41101440643932, cost: 7.007579659878971e-07, fitness inc: 7.007579659878971e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.42790489328171, cost: 2.5245662743644814e-06, fitness inc: 2.5245662743644814e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9572615749894933, cost: 2.663745155673247e-06, fitness inc: 2.663745155673247e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.70000000005746, cost: 2.721592592958011e-06, fitness inc: 2.721592592958011e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.70000000000272, cost: 2.721592592958011e-06, fitness inc: 2.721592592958011e-06 Fitness: 1.425917934827492e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.11941678436017, cost: 1.4670097446822794e-05, fitness inc: 1.4670097446822794e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.494215631610075, cost: 1.973246564923592e-06, fitness inc: 1.973246564923592e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9231071008232408, cost: 8.622347655751206e-06, fitness inc: 8.622347655751206e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.700000000000635, cost: 8.60152601311892e-06, fitness inc: 8.60152601311892e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 254.90000000005796, cost: 8.963652985527482e-06, fitness inc: 8.963652985527482e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 254.9000000000033, cost: 8.963652985527482e-06, fitness inc: 8.963652985527482e-06 Fitness: 5.1794523651671476e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.77606991624486, cost: 1.3084848299538265e-05, fitness inc: 1.3084848299538265e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.470001837482755, cost: 4.937082401723636e-05, fitness inc: 4.937082401723636e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9814200398135853, cost: 5.034381723723058e-07, fitness inc: 5.034381723723058e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.20000000005712, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.10000000005704, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Fitness: 6.448604304065686e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.93663885820528, cost: 3.639125396692755e-06, fitness inc: 3.639125396692755e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.81949684659388, cost: 2.513164313322491e-07, fitness inc: 2.513164313322491e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9808917197446076, cost: 5.324756788827045e-07, fitness inc: 5.324756788827045e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.20000000005712, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.20000000000226, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Fitness: 6.035716640151456e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.44720776395464, cost: 2.484191968132876e-05, fitness inc: 2.484191968132876e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.738039254424905, cost: 1.2283942175672635e-05, fitness inc: 1.2283942175672635e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.988300983780294, cost: 1.9959764008259384e-07, fitness inc: 1.9959764008259384e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 3.7986259349587215e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.708078874219, cost: 2.0797763233826316e-06, fitness inc: 2.0797763233826316e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.54765361030546, cost: 1.8475275057383556e-05, fitness inc: 1.8475275057383556e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98036353986936, cost: 5.623192598225302e-07, fitness inc: 5.623192598225302e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.30000000005708, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.20000000000226, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Fitness: 2.282350299798175e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.52347020390941, cost: 9.043462909086308e-06, fitness inc: 9.043462909086308e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.28297794099239, cost: 5.693941566209393e-05, fitness inc: 5.693941566209393e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.979835500132046, cost: 5.929682701522054e-07, fitness inc: 5.929682701522054e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.30000000005714, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.20000000005706, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Fitness: 6.828197919872547e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.47266024349842, cost: 1.1535456510003428e-06, fitness inc: 1.1535456510003428e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.55178693227599, cost: 1.5496005502102506e-06, fitness inc: 1.5496005502102506e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9771974015637497, cost: 7.582722308940859e-07, fitness inc: 7.582722308940859e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.50000000005713, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.40000000000234, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 5.9888829443410785e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.46648771497091, cost: 2.5234878169633213e-05, fitness inc: 2.5234878169633213e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.1648468855129, cost: 5.379987664477781e-06, fitness inc: 5.379987664477781e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.965107057889949, cost: 1.7755430690158391e-06, fitness inc: 1.7755430690158391e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.20000000005734, cost: 1.8069300683487555e-06, fitness inc: 1.8069300683487555e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.20000000000258, cost: 1.8069300683487555e-06, fitness inc: 1.8069300683487555e-06 Fitness: 3.815466441570159e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -78.67297622814154, cost: 5.5958516236520595e-05, fitness inc: 5.5958516236520595e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.74384994232776, cost: 4.267958816916995e-06, fitness inc: 4.267958816916995e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9619651347062006, cost: 2.1096948920051872e-06, fitness inc: 2.1096948920051872e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.4000000000574, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.40000000000262, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Fitness: 6.878735607307451e-05 >>>>> Evaluating: >>>>> [65.27170547286732, 252.82104683683505, -8.171047195308464] >>>>> [65.38502830882224, 251.08793408391273, -9.98985486006648] >>>>> [65.15581734263112, 250.72178753100732, -9.966183602750744] >>>>> [65.18722748593223, 250.85509223813685, -10.883573120343856] >>>>> [64.74746361120955, 250.78037241147, -9.79121512357029] >>>>> [63.66419642330086, 252.3774871850481, -10.482645608270461] >>>>> [64.23560322594828, 250.8589289723935, -9.751745733808903] >>>>> [65.41237554700736, 250.53817021114926, -10.285037118873667] >>>>> [65.16505394487666, 251.58597640421684, -10.023821928636488] >>>>> [65.5399522471235, 256.0476207888246, -9.96697614259434] >> Running individual: {'amp': 65.27170547286732, 'period': 252.82104683683505, 'offset': -8.171047195308464} >> Running individual: {'amp': 65.38502830882224, 'period': 251.08793408391273, 'offset': -9.98985486006648} >> Running individual: {'amp': 65.15581734263112, 'period': 250.72178753100732, 'offset': -9.966183602750744} >> Running individual: {'amp': 65.18722748593223, 'period': 250.85509223813685, 'offset': -10.883573120343856} >> Running individual: {'amp': 64.74746361120955, 'period': 250.78037241147, 'offset': -9.79121512357029} >> Running individual: {'amp': 63.66419642330086, 'period': 252.3774871850481, 'offset': -10.482645608270461} >> Running individual: {'amp': 64.23560322594828, 'period': 250.8589289723935, 'offset': -9.751745733808903} >> Running individual: {'amp': 65.41237554700736, 'period': 250.53817021114926, 'offset': -10.285037118873667} >> Running individual: {'amp': 65.16505394487666, 'period': 251.58597640421684, 'offset': -10.023821928636488} >> Running individual: {'amp': 65.5399522471235, 'period': 256.0476207888246, 'offset': -9.96697614259434} Target average_minimum (weight 1.0): target val: -75.0, actual: -73.4427299581082, cost: 1.0059531328487914e-05, fitness inc: 1.0059531328487914e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 57.100638318105865, cost: 3.403605297258583e-05, fitness inc: 3.403605297258583e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9551746868813904, cost: 2.9302332622549443e-06, fitness inc: 2.9302332622549443e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.9000000000575, cost: 3.139723475431566e-06, fitness inc: 3.139723475431566e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.80000000000274, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Fitness: 5.60193905714268e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.37488087301479, cost: 5.829624351028073e-07, fitness inc: 5.829624351028073e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.39514293588959, cost: 1.2043683329521215e-06, fitness inc: 1.2043683329521215e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.983005841741286, cost: 4.211685527000242e-07, fitness inc: 4.211685527000242e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.1000000000571, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.000000000057, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 3.5711653552095157e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.1219784662255, cost: 6.171923971898252e-08, fitness inc: 6.171923971898252e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.189618073503, cost: 2.773388724230941e-07, fitness inc: 2.773388724230941e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 1.1257711484136124e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.07077285148326, cost: 4.75605530358969e-06, fitness inc: 4.75605530358969e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.30364326273266, cost: 3.7403594959073416e-06, fitness inc: 3.7403594959073416e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9861812383730224, cost: 2.784805911426602e-07, fitness inc: 2.784805911426602e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.90000000005705, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 9.555161851637628e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.53865492609971, cost: 8.828880740940903e-07, fitness inc: 8.828880740940903e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.956228737264595, cost: 1.477847266784238e-08, fitness inc: 1.477847266784238e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 1.7765636741717827e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.14682040715104, cost: 3.0194918743120525e-06, fitness inc: 3.0194918743120525e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.181531190409196, cost: 2.5506568880673264e-05, fitness inc: 2.5506568880673264e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.962488442741428, cost: 2.0520413090974188e-06, fitness inc: 2.0520413090974188e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.4000000000574, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.3000000000573, cost: 1.9749294332127576e-06, fitness inc: 1.9749294332127576e-06 Fitness: 3.685382224904998e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.98732610465983, cost: 4.253942750165329e-06, fitness inc: 4.253942750165329e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.48384719206055, cost: 2.054977648158207e-06, fitness inc: 2.054977648158207e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9861812383730224, cost: 2.784805911426602e-07, fitness inc: 2.784805911426602e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.90000000005705, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 7.367667450464133e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.69739784494168, cost: 2.0175048356385616e-06, fitness inc: 2.0175048356385616e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.12731547966173, cost: 1.2502986812545913e-07, fitness inc: 1.2502986812545913e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9914848323570213, cost: 1.0574093878279456e-07, fitness inc: 1.0574093878279456e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.6000000000021, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.5000000000569, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Fitness: 2.5357422789307194e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.18886096953587, cost: 1.4795805858280886e-07, fitness inc: 1.4795805858280886e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.14121478091486, cost: 1.5381959117544142e-07, fitness inc: 1.5381959117544142e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.974562798091595, cost: 9.436155026243398e-07, fitness inc: 9.436155026243398e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 4.112590412330697e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.50691186903211, cost: 1.0659055309503174e-06, fitness inc: 1.0659055309503174e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.572956978614435, cost: 2.532178596803547e-06, fitness inc: 2.532178596803547e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9052330122357866, cost: 1.3096802177536837e-05, fitness inc: 1.3096802177536837e-05 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 64.00000000000064, cost: 1.3439819368854522e-05, fitness inc: 1.3439819368854522e-05 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 256.10000000005823, cost: 1.3891540355914778e-05, fitness inc: 1.3891540355914778e-05 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 256.00000000005815, cost: 1.3439819369076567e-05, fitness inc: 1.3439819369076567e-05 Fitness: 5.746606539913657e-05 >>>>> Evaluating: >>>>> [65.40880162454955, 252.60360776179775, -10.43507498840952] >>>>> [65.40311766555756, 250.84108897292776, -10.565734455541925] >>>>> [66.80552518231197, 252.02441956436184, -10.276250975601293] >>>>> [65.16038782812952, 250.2023574395177, -11.843392946852921] >>>>> [66.26663332057261, 251.08793408391273, -9.303081115564199] >>>>> [65.38502830882224, 250.3216535467914, -9.98985486006648] >>>>> [62.92191411758346, 253.17825335221568, -10.272397013395082] >>>>> [64.73493568295324, 251.709203919614, -9.960881486577026] >>>>> [65.38512941005615, 251.55474919065065, -10.560467647711913] >>>>> [64.34683207351512, 251.22709203382416, -9.303052000428899] >> Running individual: {'amp': 65.40880162454955, 'period': 252.60360776179775, 'offset': -10.43507498840952} >> Running individual: {'amp': 65.40311766555756, 'period': 250.84108897292776, 'offset': -10.565734455541925} >> Running individual: {'amp': 66.80552518231197, 'period': 252.02441956436184, 'offset': -10.276250975601293} >> Running individual: {'amp': 65.16038782812952, 'period': 250.2023574395177, 'offset': -11.843392946852921} >> Running individual: {'amp': 66.26663332057261, 'period': 251.08793408391273, 'offset': -9.303081115564199} >> Running individual: {'amp': 65.38502830882224, 'period': 250.3216535467914, 'offset': -9.98985486006648} >> Running individual: {'amp': 62.92191411758346, 'period': 253.17825335221568, 'offset': -10.272397013395082} >> Running individual: {'amp': 64.73493568295324, 'period': 251.709203919614, 'offset': -9.960881486577026} >> Running individual: {'amp': 65.38512941005615, 'period': 251.55474919065065, 'offset': -10.560467647711913} >> Running individual: {'amp': 64.34683207351512, 'period': 251.22709203382416, 'offset': -9.303052000428899} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.8438378202818, cost: 2.953731049304409e-06, fitness inc: 2.953731049304409e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.97368768983167, cost: 5.3403457211942396e-09, fitness inc: 5.3403457211942396e-09 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.958828186856077, cost: 2.4720412604706254e-06, fitness inc: 2.4720412604706254e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.60000000005743, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.6000000000027, cost: 2.523726964187567e-06, fitness inc: 2.523726964187567e-06 Fitness: 1.3405491350204635e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.96883907299551, cost: 3.893640570185042e-06, fitness inc: 3.893640570185042e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.837364471491966, cost: 2.0402442768574502e-07, fitness inc: 2.0402442768574502e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.986710963454534, cost: 2.575394016934851e-07, fitness inc: 2.575394016934851e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.9000000000022, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 5.135470860562208e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.08175373202606, cost: 1.7976500665151107e-05, fitness inc: 1.7976500665151107e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.529256430194124, cost: 1.803865708582819e-05, fitness inc: 1.803865708582819e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.967729136357011, cost: 1.51871862719144e-06, fitness inc: 1.51871862719144e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.000000000000625, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.10000000005726, cost: 1.6463972895008894e-06, fitness inc: 1.6463972895008894e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.0000000000025, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Fitness: 4.216693587455467e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.00373746013317, cost: 1.665438731657254e-05, fitness inc: 1.665438731657254e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.316951499819034, cost: 2.1849181861988143e-05, fitness inc: 2.1849181861988143e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 3.8608078642754506e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.56971210930695, cost: 1.346370461452473e-06, fitness inc: 1.346370461452473e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.96352128072854, cost: 2.9737860249623438e-05, fitness inc: 2.9737860249623438e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.983005841741286, cost: 4.211685527000242e-07, fitness inc: 4.211685527000242e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.1000000000571, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.000000000057, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 3.28680652982305e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.37486039910927, cost: 5.828987605926983e-07, fitness inc: 5.828987605926983e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.395157952494, cost: 1.2044598737270817e-06, fitness inc: 1.2044598737270817e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9952057530956684, cost: 3.351950383922997e-08, fitness inc: 3.351950383922997e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.3000000000569, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 1.9478114655635537e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.19428962224946, cost: 1.3525227304689302e-05, fitness inc: 1.3525227304689302e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.64949761857822, cost: 4.261419509965503e-05, fitness inc: 4.261419509965503e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9499670836070235, cost: 3.6506218934473367e-06, fitness inc: 3.6506218934473367e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.30000000000063, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.2000000000575, cost: 3.822918718476842e-06, fitness inc: 3.822918718476842e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.10000000005755, cost: 3.587720461717403e-06, fitness inc: 3.587720461717403e-06 Fitness: 7.102360219646275e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.69581443545478, cost: 3.8382326239538855e-07, fitness inc: 3.8382326239538855e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.774022934896806, cost: 3.9389454198346385e-07, fitness inc: 3.9389454198346385e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.97245762711803, cost: 1.1062646360082695e-06, fitness inc: 1.1062646360082695e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.80000000005725, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.7000000000024, cost: 1.0789321692739051e-06, fitness inc: 1.0789321692739051e-06 Fitness: 5.128245566421441e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.94558222178706, cost: 3.7089522686439835e-06, fitness inc: 3.7089522686439835e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.824640177712524, cost: 2.3719825870127664e-07, fitness inc: 2.3719825870127664e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.975089439511774, cost: 9.049475491185177e-07, fitness inc: 9.049475491185177e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.50000000000236, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Fitness: 7.6025622108844004e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.64986186484981, cost: 7.56149001623907e-06, fitness inc: 7.56149001623907e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.0437656846685, cost: 1.4774706125209036e-08, fitness inc: 1.4774706125209036e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98036353986936, cost: 5.623192598225302e-07, fitness inc: 5.623192598225302e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.30000000005708, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.20000000000226, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Fitness: 9.84471633957984e-06 >>>>> Evaluating: >>>>> [66.19379236606741, 253.828398244009, -10.02974801223024] >>>>> [65.39917830927192, 248.87580261995834, -10.04091113012428] >>>>> [64.91181494599206, 250.1689663936714, -10.465771863598938] >>>>> [64.73759122742207, 250.1689663936714, -10.465771863598938] >>>>> [65.15890739109622, 250.76518173244597, -10.237522270607538] >>>>> [65.2366081961257, 250.74999963152973, -10.530137558028022] >>>>> [64.74746361120955, 250.42171338227476, -8.889479843576886] >>>>> [64.51114388181306, 251.1024187364592, -9.585306598101342] >>>>> [64.89761800721193, 253.7901271495008, -10.119410496468683] >>>>> [65.27199959791372, 251.75723782839836, -9.449942655155013] >> Running individual: {'amp': 66.19379236606741, 'period': 253.828398244009, 'offset': -10.02974801223024} >> Running individual: {'amp': 65.39917830927192, 'period': 248.87580261995834, 'offset': -10.04091113012428} >> Running individual: {'amp': 64.91181494599206, 'period': 250.1689663936714, 'offset': -10.465771863598938} >> Running individual: {'amp': 64.73759122742207, 'period': 250.1689663936714, 'offset': -10.465771863598938} >> Running individual: {'amp': 65.15890739109622, 'period': 250.76518173244597, 'offset': -10.237522270607538} >> Running individual: {'amp': 65.2366081961257, 'period': 250.74999963152973, 'offset': -10.530137558028022} >> Running individual: {'amp': 64.74746361120955, 'period': 250.42171338227476, 'offset': -8.889479843576886} >> Running individual: {'amp': 64.51114388181306, 'period': 251.1024187364592, 'offset': -9.585306598101342} >> Running individual: {'amp': 64.89761800721193, 'period': 253.7901271495008, 'offset': -10.119410496468683} >> Running individual: {'amp': 65.27199959791372, 'period': 251.75723782839836, 'offset': -9.449942655155013} Target average_minimum (weight 1.0): target val: -75.0, actual: -76.22352947312687, cost: 6.209840312521031e-06, fitness inc: 6.209840312521031e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.16402390827275, cost: 1.0451308524728198e-05, fitness inc: 1.0451308524728198e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9401103230884345, cost: 5.230683848833628e-06, fitness inc: 5.230683848833628e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.50000000000063, cost: 5.973297652839271e-06, fitness inc: 5.973297652839271e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.8000000000577, cost: 5.390904271318497e-06, fitness inc: 5.390904271318497e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.80000000000302, cost: 5.390904271318497e-06, fitness inc: 5.390904271318497e-06 Fitness: 3.864693888155912e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.44006860031256, cost: 8.033312722810493e-07, fitness inc: 8.033312722810493e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.358249449373176, cost: 9.899700127435906e-07, fitness inc: 9.899700127435906e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.018215912134394, cost: 4.839031376713265e-07, fitness inc: 4.839031376713265e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.90000000005654, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.80000000005657, cost: 5.375997108592045e-07, fitness inc: 5.375997108592045e-07 Fitness: 3.8041369739838515e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.37757328451063, cost: 5.913662257661656e-07, fitness inc: 5.913662257661656e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.44601893501048, cost: 2.3672287130516168e-06, fitness inc: 2.3672287130516168e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.997335109926099, cost: 1.0356556834345554e-08, fitness inc: 1.0356556834345554e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.20000000005683, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 2.9876181620869247e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.20334960224204, cost: 1.71530296522171e-07, fitness inc: 1.71530296522171e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.27179528125222, cost: 4.0903136128145334e-06, fitness inc: 4.0903136128145334e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.997335109926099, cost: 1.0356556834345554e-08, fitness inc: 1.0356556834345554e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.20000000005683, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 4.290867132605847e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.3964144831332, cost: 6.518580030201448e-07, fitness inc: 6.518580030201448e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.92137176286077, cost: 4.7687929161099873e-08, fitness inc: 4.7687929161099873e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000005695, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 1.5784430595910948e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.76672548650512, cost: 2.4385574914909114e-06, fitness inc: 2.4385574914909114e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.706454638275716, cost: 6.646630906770312e-07, fitness inc: 6.646630906770312e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.988300983780294, cost: 1.9959764008259384e-07, fitness inc: 1.9959764008259384e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 3.963618074753761e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.63692081767154, cost: 7.707137044676848e-06, fitness inc: 7.707137044676848e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.85796328972868, cost: 5.677881861454459e-06, fitness inc: 5.677881861454459e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.993078663649058, cost: 6.986130296482429e-08, fitness inc: 6.986130296482429e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.50000000005696, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000000205, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 1.3667680193396592e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.0964331426418, cost: 3.3866738401444607e-06, fitness inc: 3.3866738401444607e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.92582842600437, cost: 4.243521223301627e-08, fitness inc: 4.243521223301627e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9824771007560553, cost: 4.47783963020143e-07, fitness inc: 4.47783963020143e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.1000000000571, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.10000000000224, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Fitness: 5.317958985173732e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.0170059150549, cost: 1.1996492688126636e-09, fitness inc: 1.1996492688126636e-09 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.77818379125239, cost: 3.795227355718467e-07, fitness inc: 3.795227355718467e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9401103230884345, cost: 5.230683848833628e-06, fitness inc: 5.230683848833628e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.40000000000063, cost: 4.838376589932913e-06, fitness inc: 4.838376589932913e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 253.8000000000577, cost: 5.390904271318497e-06, fitness inc: 5.390904271318497e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 253.800000000003, cost: 5.390904271318497e-06, fitness inc: 5.390904271318497e-06 Fitness: 2.1231591366244196e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.72192878132178, cost: 3.207496562795953e-07, fitness inc: 3.207496562795953e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.82203755768134, cost: 5.212336714133237e-06, fitness inc: 5.212336714133237e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.971931682774442, cost: 1.1489180598012183e-06, fitness inc: 1.1489180598012183e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.8000000000572, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.70000000005723, cost: 1.0789321692739051e-06, fitness inc: 1.0789321692739051e-06 Fitness: 9.92626755624837e-06 >>>>> Evaluating: >>>>> [65.29180628916782, 251.37946869912173, -10.00224269644055] >>>>> [66.3356371059534, 249.42334060478908, -9.677150994216134] >>>>> [65.2366081961257, 250.778218900753, -10.530137558028022] >>>>> [65.7699243472846, 250.74999963152973, -11.70880178010666] >>>>> [64.04591904819122, 251.60355224741392, -11.41759614819565] >>>>> [64.81047957138105, 250.46186582048477, -9.505210047527662] >>>>> [65.40356066420074, 250.47330417727792, -10.404601010527301] >>>>> [66.07032381289017, 250.25929858757203, -10.799634101296505] >>>>> [65.15979013386911, 250.24746739275363, -11.485874166005676] >>>>> [66.02869707220933, 250.77504522168914, -9.025080815272826] >> Running individual: {'amp': 65.29180628916782, 'period': 251.37946869912173, 'offset': -10.00224269644055} >> Running individual: {'amp': 66.3356371059534, 'period': 249.42334060478908, 'offset': -9.677150994216134} >> Running individual: {'amp': 65.2366081961257, 'period': 250.778218900753, 'offset': -10.530137558028022} >> Running individual: {'amp': 65.7699243472846, 'period': 250.74999963152973, 'offset': -11.70880178010666} >> Running individual: {'amp': 64.04591904819122, 'period': 251.60355224741392, 'offset': -11.41759614819565} >> Running individual: {'amp': 64.81047957138105, 'period': 250.46186582048477, 'offset': -9.505210047527662} >> Running individual: {'amp': 65.40356066420074, 'period': 250.47330417727792, 'offset': -10.404601010527301} >> Running individual: {'amp': 66.07032381289017, 'period': 250.25929858757203, 'offset': -10.799634101296505} >> Running individual: {'amp': 65.15979013386911, 'period': 250.24746739275363, 'offset': -11.485874166005676} >> Running individual: {'amp': 66.02869707220933, 'period': 250.77504522168914, 'offset': -9.025080815272826} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.29403921641004, cost: 3.586448641401674e-07, fitness inc: 3.586448641401674e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.28954880844175, cost: 6.466878322841652e-07, fitness inc: 6.466878322841652e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.977724741447277, cost: 7.236057275594732e-07, fitness inc: 7.236057275594732e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.40000000005716, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.4000000000023, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 3.7300037306620126e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.01277869223489, cost: 4.254823233407201e-06, fitness inc: 4.254823233407201e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.6584700150765, cost: 2.1215703643551187e-05, fitness inc: 2.1215703643551187e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.009623095428413, cost: 1.350474316819117e-07, fitness inc: 1.350474316819117e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.4000000000567, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.4000000000018, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Fitness: 2.5934107602321177e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.76672304013036, cost: 2.4385419302719313e-06, fitness inc: 2.4385419302719313e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.70645002935003, cost: 6.64683962425805e-07, fitness inc: 6.64683962425805e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 3.982123020107586e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.4787056940525, cost: 2.5485497687105507e-05, fitness inc: 2.5485497687105507e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.06110643655575, cost: 6.7995657372366125e-06, fitness inc: 6.7995657372366125e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.988300983780294, cost: 1.9959764008259384e-07, fitness inc: 1.9959764008259384e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 3.314546091692794e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.46351425665087, cost: 8.91210028219902e-07, fitness inc: 8.91210028219902e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.62832181326177, cost: 4.338544759385776e-05, fitness inc: 4.338544759385776e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.974562798091595, cost: 9.436155026243398e-07, fitness inc: 9.436155026243398e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.6000000000572, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 4.808747038465011e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.31566845473289, cost: 1.9426140910328016e-06, fitness inc: 1.9426140910328016e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.30525784521278, cost: 7.187614275983023e-07, fitness inc: 7.187614275983023e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9925472451417847, cost: 8.100101112074043e-08, fitness inc: 8.100101112074043e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.50000000005696, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000005688, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 2.9551765140523045e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.8081422668797, cost: 2.7091230100362296e-06, fitness inc: 2.7091230100362296e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.99894371746207, cost: 8.606226842289288e-12, fitness inc: 8.606226842289288e-12 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9925472451417847, cost: 8.100101112074043e-08, fitness inc: 8.100101112074043e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.5000000000569, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000005693, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 3.0029326116842725e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.86994168309381, cost: 1.4504544155746757e-05, fitness inc: 1.4504544155746757e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.2706693091288, cost: 5.651050518640233e-07, fitness inc: 5.651050518640233e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996270147861379, cost: 2.0288036806093146e-08, fitness inc: 2.0288036806093146e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.30000000005685, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 1.5198203906052754e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.6456528002921, cost: 1.1233777192587446e-05, fitness inc: 1.1233777192587446e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.673898378698034, cost: 1.3564354375050769e-05, fitness inc: 1.3564354375050769e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996270147861379, cost: 2.0288036806093146e-08, fitness inc: 2.0288036806093146e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.30000000005685, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 2.492668626608019e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.05375549217904, cost: 1.1986708403632917e-08, fitness inc: 1.1986708403632917e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 57.003599200158796, cost: 3.0964185304349634e-05, fitness inc: 3.0964185304349634e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000005695, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 3.185506914016312e-05 >>>>> Evaluating: >>>>> [65.04153644849713, 251.50845309909798, -11.038770037966914] >>>>> [64.90048169744927, 249.23049098248006, -10.456804430250882] >>>>> [65.01076032192832, 249.15191607873305, -10.82693741183619] >>>>> [65.17461365967921, 250.17064165736684, -10.451219087365905] >>>>> [65.5839514434834, 250.19672097477616, -10.474110227815588] >>>>> [65.36482810045945, 250.16840901738482, -10.402992369947812] >>>>> [64.97817981482932, 250.906779290865, -10.020667749008714] >>>>> [65.31140210466852, 249.79716571748745, -10.493843345168495] >>>>> [64.56081199759304, 249.48083289027974, -10.463983471040988] >>>>> [65.1966836242526, 250.33847456155598, -12.016779315426621] >> Running individual: {'amp': 65.04153644849713, 'period': 251.50845309909798, 'offset': -11.038770037966914} >> Running individual: {'amp': 64.90048169744927, 'period': 249.23049098248006, 'offset': -10.456804430250882} >> Running individual: {'amp': 65.01076032192832, 'period': 249.15191607873305, 'offset': -10.82693741183619} >> Running individual: {'amp': 65.17461365967921, 'period': 250.17064165736684, 'offset': -10.451219087365905} >> Running individual: {'amp': 65.5839514434834, 'period': 250.19672097477616, 'offset': -10.474110227815588} >> Running individual: {'amp': 65.36482810045945, 'period': 250.16840901738482, 'offset': -10.402992369947812} >> Running individual: {'amp': 64.97817981482932, 'period': 250.906779290865, 'offset': -10.020667749008714} >> Running individual: {'amp': 65.31140210466852, 'period': 249.79716571748745, 'offset': -10.493843345168495} >> Running individual: {'amp': 64.56081199759304, 'period': 249.48083289027974, 'offset': -10.463983471040988} >> Running individual: {'amp': 65.1966836242526, 'period': 250.33847456155598, 'offset': -12.016779315426621} Target average_minimum (weight 1.0): target val: -75.0, actual: -76.08027338101681, cost: 4.840826370200446e-06, fitness inc: 4.840826370200446e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.002762483148686, cost: 7.670881823962361e-06, fitness inc: 7.670881823962361e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.976143141152467, cost: 8.300093107260764e-07, fitness inc: 8.300093107260764e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.50000000005718, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.50000000000236, cost: 8.399992944552181e-07, fitness inc: 8.399992944552181e-07 Fitness: 1.5977448513782022e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.35726578452443, cost: 5.294645407660781e-07, fitness inc: 5.294645407660781e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.44366439133501, cost: 2.3873939325458338e-06, fitness inc: 2.3873939325458338e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.012304400159875, cost: 2.2078908534783892e-07, fitness inc: 2.2078908534783892e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.30000000005663, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.20000000000172, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 3.798447411162975e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.83767988208012, cost: 2.9107785458615254e-06, fitness inc: 2.9107785458615254e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.18380370949053, cost: 5.1385242206825055e-06, fitness inc: 5.1385242206825055e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.013914905003396, cost: 2.823691012121543e-07, fitness inc: 2.823691012121543e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.2000000000566, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.1000000000017, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 9.111938328754121e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.62582089650148, cost: 1.6246270266861984e-06, fitness inc: 1.6246270266861984e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.723372386654475, cost: 5.902584452321946e-07, fitness inc: 5.902584452321946e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9968025579530213, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.20000000000198, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 2.2596616062742214e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.0580210076403, cost: 4.643450537966665e-06, fitness inc: 4.643450537966665e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.10980042230014, cost: 9.299495462578022e-08, fitness inc: 9.299495462578022e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9968025579530213, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.20000000000198, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 4.781221626948273e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.76780617822196, cost: 2.4454365626924712e-06, fitness inc: 2.4454365626924712e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.9618121893524, cost: 1.1248663445151408e-08, fitness inc: 1.1248663445151408e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.997335109926099, cost: 1.0356556834345554e-08, fitness inc: 1.0356556834345554e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.20000000005683, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 2.485708449406765e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.99884342387726, cost: 5.548894677076532e-12, fitness inc: 5.548894677076532e-12 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.9574832086441, cost: 1.394351811789818e-08, fitness inc: 1.394351811789818e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.985651654044821, cost: 3.002343309521649e-07, fitness inc: 3.002343309521649e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.90000000005705, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.9000000000022, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 1.157916491134614e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.80520342698044, cost: 2.6894552330736232e-06, fitness inc: 2.6894552330736232e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.8175166398276, cost: 2.568608015174334e-07, fitness inc: 2.568608015174334e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.003202562049023, cost: 1.4957255212166842e-08, fitness inc: 1.4957255212166842e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.8000000000568, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.8000000000019, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 3.0508732856704412e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.02478895978793, cost: 2.5490061172916967e-09, fitness inc: 2.5490061172916967e-09 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.09680568697617, cost: 6.292323788792409e-06, fitness inc: 6.292323788792409e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.008551576696337, cost: 1.0664712357666417e-07, fitness inc: 1.0664712357666417e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.50000000005673, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.40000000005665, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Fitness: 6.688986554870269e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.21344146632207, cost: 2.0322705126751828e-05, fitness inc: 2.0322705126751828e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.179892773555295, cost: 2.5552550588114897e-05, fitness inc: 2.5552550588114897e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9946737683083056, cost: 4.13710833369052e-08, fitness inc: 4.13710833369052e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005688, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 4.60696934566629e-05 >>>>> Evaluating: >>>>> [65.25435370085123, 249.91090388421134, -10.003736791052212] >>>>> [65.38499735012641, 250.94851085632763, -9.987534305578592] >>>>> [65.15762608649266, 250.21005738353693, -10.319781777902099] >>>>> [65.14746685705504, 252.25104376727498, -10.063119395288046] >>>>> [65.11422258471957, 250.3905649999829, -9.681347283038008] >>>>> [65.07031385329371, 250.3373676664962, -9.739261006529846] >>>>> [65.30276561650567, 248.68524881180142, -10.294862281043377] >>>>> [65.3966440875306, 249.97654632144778, -9.825983174328123] >>>>> [65.56814020607216, 250.17064165736684, -10.661809422646575] >>>>> [64.41305530501985, 251.15121295021547, -12.086549877297612] >> Running individual: {'amp': 65.25435370085123, 'period': 249.91090388421134, 'offset': -10.003736791052212} >> Running individual: {'amp': 65.38499735012641, 'period': 250.94851085632763, 'offset': -9.987534305578592} >> Running individual: {'amp': 65.15762608649266, 'period': 250.21005738353693, 'offset': -10.319781777902099} >> Running individual: {'amp': 65.14746685705504, 'period': 252.25104376727498, 'offset': -10.063119395288046} >> Running individual: {'amp': 65.11422258471957, 'period': 250.3905649999829, 'offset': -9.681347283038008} >> Running individual: {'amp': 65.07031385329371, 'period': 250.3373676664962, 'offset': -9.739261006529846} >> Running individual: {'amp': 65.30276561650567, 'period': 248.68524881180142, 'offset': -10.294862281043377} >> Running individual: {'amp': 65.3966440875306, 'period': 249.97654632144778, 'offset': -9.825983174328123} >> Running individual: {'amp': 65.56814020607216, 'period': 250.17064165736684, 'offset': -10.661809422646575} >> Running individual: {'amp': 64.41305530501985, 'period': 251.15121295021547, 'offset': -12.086549877297612} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.25805563583394, cost: 2.7623635523443824e-07, fitness inc: 2.7623635523443824e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.2506131223714, cost: 4.844609882148632e-07, fitness inc: 4.844609882148632e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.001600640255486, cost: 3.7363216964791945e-09, fitness inc: 3.7363216964791945e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.90000000005682, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.9000000000019, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 7.719003319861528e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.37251929947494, cost: 5.756407942536512e-07, fitness inc: 5.756407942536512e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.397447409418035, cost: 1.2184570308271248e-06, fitness inc: 1.2184570308271248e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9845929074240094, cost: 3.461768617318839e-07, fitness inc: 3.461768617318839e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.900000000057, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 3.0549410655611453e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.47738491329959, cost: 9.453469511644386e-07, fitness inc: 9.453469511644386e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.837820145301365, cost: 2.0288275426327829e-07, fitness inc: 2.0288275426327829e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 1.2527391696215417e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.21057428409875, cost: 1.839351980725823e-07, fitness inc: 1.839351980725823e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.08433197345396, cost: 5.4857487108428415e-08, fitness inc: 5.4857487108428415e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9645830580144508, cost: 1.829271332409732e-06, fitness inc: 1.829271332409732e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.3000000000573, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.20000000000258, cost: 1.8069300683487555e-06, fitness inc: 1.8069300683487555e-06 Fitness: 8.000318894807457e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.79556306217552, cost: 1.7336958813007897e-07, fitness inc: 1.7336958813007897e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.43286743153926, cost: 1.4453086473187327e-06, fitness inc: 1.4453086473187327e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9936102236415563, cost: 5.9542640817866754e-08, fitness inc: 5.9542640817866754e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005693, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000000205, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 1.857420865780668e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.80955388907678, cost: 1.5045215406850332e-07, fitness inc: 1.5045215406850332e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.33104052995816, cost: 8.453048803147567e-07, fitness inc: 8.453048803147567e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9946737683083056, cost: 4.13710833369052e-08, fitness inc: 4.13710833369052e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005688, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 1.1901947761794318e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.59762486012113, cost: 1.4815316207172913e-06, fitness inc: 1.4815316207172913e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.00787629073912, cost: 4.785143392638247e-10, fitness inc: 4.785143392638247e-10 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.021447721179007, cost: 6.708398013755001e-07, fitness inc: 6.708398013755001e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.70000000005655, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.60000000005647, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 4.053115380542316e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.22260485186013, cost: 2.0555281132761394e-07, fitness inc: 2.0555281132761394e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.57064185757073, cost: 2.5117566742061115e-06, fitness inc: 2.5117566742061115e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.000533404453311, cost: 4.1492542734999915e-10, fitness inc: 4.1492542734999915e-10 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.00000000005684, cost: 0.0, fitness inc: 0.0 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.90000000005676, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 2.7214577443812615e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.22993770662112, cost: 6.275058303528702e-06, fitness inc: 6.275058303528702e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.90630846380898, cost: 6.770988825177682e-08, fitness inc: 6.770988825177682e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9968025579530213, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.20000000000198, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 6.387544326136307e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.49958690716448, cost: 9.328106316042195e-06, fitness inc: 9.328106316042195e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.32648787098687, cost: 5.5130480823839534e-05, fitness inc: 5.5130480823839534e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9819485001321167, cost: 4.7520738499784443e-07, fitness inc: 4.7520738499784443e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.20000000005706, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.10000000000224, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Fitness: 6.64607270763895e-05 >>>>> Evaluating: >>>>> [63.73288115302761, 250.9815876027922, -9.78276375556486] >>>>> [65.96017646239514, 250.21975707350606, -10.079407023629804] >>>>> [65.37552356666511, 250.10458776543166, -9.998240065012473] >>>>> [66.48282401134193, 250.36038019551512, -9.9899508402244] >>>>> [65.03763329796975, 250.72189830987486, -9.993750944039139] >>>>> [64.98800461496305, 250.94528598273712, -9.463307737682868] >>>>> [64.75150101714684, 251.75212438253132, -10.922422184358862] >>>>> [65.2232536910287, 251.84085096473913, -10.260727647726808] >>>>> [63.55962520358675, 248.89069976977171, -9.989726832364912] >>>>> [65.47318674475255, 248.9332398646067, -10.312389315496121] >> Running individual: {'amp': 63.73288115302761, 'period': 250.9815876027922, 'offset': -9.78276375556486} >> Running individual: {'amp': 65.96017646239514, 'period': 250.21975707350606, 'offset': -10.079407023629804} >> Running individual: {'amp': 65.37552356666511, 'period': 250.10458776543166, 'offset': -9.998240065012473} >> Running individual: {'amp': 66.48282401134193, 'period': 250.36038019551512, 'offset': -9.9899508402244} >> Running individual: {'amp': 65.03763329796975, 'period': 250.72189830987486, 'offset': -9.993750944039139} >> Running individual: {'amp': 64.98800461496305, 'period': 250.94528598273712, 'offset': -9.463307737682868} >> Running individual: {'amp': 64.75150101714684, 'period': 251.75212438253132, 'offset': -10.922422184358862} >> Running individual: {'amp': 65.2232536910287, 'period': 251.84085096473913, 'offset': -10.260727647726808} >> Running individual: {'amp': 63.55962520358675, 'period': 248.89069976977171, 'offset': -9.989726832364912} >> Running individual: {'amp': 65.47318674475255, 'period': 248.9332398646067, 'offset': -10.312389315496121} Target average_minimum (weight 1.0): target val: -75.0, actual: -73.5156340824894, cost: 9.139706236505063e-06, fitness inc: 9.139706236505063e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.9501026218156, cost: 8.502397717546906e-06, fitness inc: 8.502397717546906e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.984063745019305, cost: 3.703643542962709e-07, fitness inc: 3.703643542962709e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.00000000000222, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 1.8998067972675337e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.03957312651478, cost: 4.482934568450503e-06, fitness inc: 4.482934568450503e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.880754344142524, cost: 5.983542712750811e-06, fitness inc: 5.983542712750811e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 1.0570986745395139e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.37375740013542, cost: 5.794735361552839e-07, fitness inc: 5.794735361552839e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.37726045374953, cost: 1.0978259570304516e-06, fitness inc: 1.0978259570304516e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 1.6884965085006698e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.47276156711156, cost: 8.9973628600859e-06, fitness inc: 8.9973628600859e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.49285487225079, cost: 1.719012839207501e-05, fitness inc: 1.719012839207501e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9941419251757915, cost: 5.0045681709853795e-08, fitness inc: 5.0045681709853795e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005693, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000005685, cost: 3.359999900531818e-08, fitness inc: 3.359999900531818e-08 Fitness: 2.6390603592552075e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.03136191583428, cost: 4.079993010108751e-09, fitness inc: 4.079993010108751e-09 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.04386648771989, cost: 1.484284406494396e-08, fitness inc: 1.484284406494396e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 8.056358733465885e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.45129759345774, cost: 1.248899368699874e-06, fitness inc: 1.248899368699874e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.52468081106491, cost: 2.12344416805621e-06, fitness inc: 2.12344416805621e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9845929074240094, cost: 3.461768617318839e-07, fitness inc: 3.461768617318839e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.900000000057, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 4.633186777236453e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.6739119330836, cost: 1.8839081870059005e-06, fitness inc: 1.8839081870059005e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.82906188184109, cost: 1.0575835848514181e-05, fitness inc: 1.0575835848514181e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.971931682774442, cost: 1.1489180598012183e-06, fitness inc: 1.1489180598012183e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.80000000005725, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.70000000005717, cost: 1.0789321692739051e-06, fitness inc: 1.0789321692739051e-06 Fitness: 1.685292522135562e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.48396608098129, cost: 9.715914547347992e-07, fitness inc: 9.715914547347992e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.962507581038395, cost: 1.0842721942516675e-08, fitness inc: 1.0842721942516675e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9708802117796638, cost: 1.2366098169902529e-06, fitness inc: 1.2366098169902529e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.000000000000625, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.90000000005728, cost: 1.347731516943007e-06, fitness inc: 1.347731516943007e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.80000000000246, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Fitness: 6.269705150829807e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.54931714077492, cost: 8.729621752467942e-06, fitness inc: 8.729621752467942e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.56989463984361, cost: 1.5775408860441154e-05, fitness inc: 1.5775408860441154e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.017677782241247, cost: 4.5573477047700095e-07, fitness inc: 4.5573477047700095e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.9000000000566, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.90000000000163, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Fitness: 2.640183135316221e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.78556056748928, cost: 2.5598380910540897e-06, fitness inc: 2.5598380910540897e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.1607801217163, cost: 1.9939580897521125e-07, fitness inc: 1.9939580897521125e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.017139796464299, cost: 4.284182247848989e-07, fitness inc: 4.284182247848989e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.00000000000165, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.90000000005654, cost: 4.5173312912538677e-07, fitness inc: 4.5173312912538677e-07 Fitness: 4.550318159046718e-06 >>>>> Evaluating: >>>>> [65.2499644604631, 249.0600335470066, -9.799447071030677] >>>>> [64.18048929405082, 250.77547949486865, -9.655307208945022] >>>>> [64.44398845001324, 250.906779290865, -10.80040205763973] >>>>> [64.97817981482932, 250.906779290865, -10.020667749008714] >>>>> [64.980815171032, 250.77714747359067, -9.680175845521305] >>>>> [64.26504908919175, 250.72153313460188, -9.977747262083172] >>>>> [65.8028327257778, 250.9362318583918, -9.284275056943834] >>>>> [64.9859539531576, 250.910444664431, -9.886182196439334] >>>>> [64.8716327936119, 251.93702510815748, -10.323803572648918] >>>>> [65.16662476281716, 250.0862386801547, -10.271864263449608] >> Running individual: {'amp': 65.2499644604631, 'period': 249.0600335470066, 'offset': -9.799447071030677} >> Running individual: {'amp': 64.18048929405082, 'period': 250.77547949486865, 'offset': -9.655307208945022} >> Running individual: {'amp': 64.44398845001324, 'period': 250.906779290865, 'offset': -10.80040205763973} >> Running individual: {'amp': 64.97817981482932, 'period': 250.906779290865, 'offset': -10.020667749008714} >> Running individual: {'amp': 64.980815171032, 'period': 250.77714747359067, 'offset': -9.680175845521305} >> Running individual: {'amp': 64.26504908919175, 'period': 250.72153313460188, 'offset': -9.977747262083172} >> Running individual: {'amp': 65.8028327257778, 'period': 250.9362318583918, 'offset': -9.284275056943834} >> Running individual: {'amp': 64.9859539531576, 'period': 250.910444664431, 'offset': -9.886182196439334} >> Running individual: {'amp': 64.8716327936119, 'period': 251.93702510815748, 'offset': -10.323803572648918} >> Running individual: {'amp': 65.16662476281716, 'period': 250.0862386801547, 'offset': -10.271864263449608} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.04939580485946, cost: 1.0121255500372683e-08, fitness inc: 1.0121255500372683e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.45049605966106, cost: 1.5654266386500026e-06, fitness inc: 1.5654266386500026e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.015526703251959, cost: 3.51572709278436e-07, fitness inc: 3.51572709278436e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.10000000005658, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.00000000000168, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 2.8417869821772967e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.8357747448547, cost: 5.622453195575083e-06, fitness inc: 5.622453195575083e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.52516496659273, cost: 1.739146465840058e-06, fitness inc: 1.739146465840058e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000005695, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 8.240496788824991e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.24438640172718, cost: 2.4774689777462555e-07, fitness inc: 2.4774689777462555e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.643557772434406, cost: 1.4192138654167685e-05, fitness inc: 1.4192138654167685e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.985651654044821, cost: 3.002343309521649e-07, fitness inc: 3.002343309521649e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.90000000005705, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.9000000000022, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 1.558385297606435e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.99884342387726, cost: 5.548894677076532e-12, fitness inc: 5.548894677076532e-12 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.9574832086441, cost: 1.394351811789818e-08, fitness inc: 1.394351811789818e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.985651654044821, cost: 3.002343309521649e-07, fitness inc: 3.002343309521649e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.90000000005705, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.9000000000022, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 1.157916491134614e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.66096876042421, cost: 4.767969696839458e-07, fitness inc: 4.767969696839458e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.30061958844544, cost: 6.970848679399566e-07, fitness inc: 6.970848679399566e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000005695, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 2.0527789650337525e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.24277391783089, cost: 2.37850656592542e-06, fitness inc: 2.37850656592542e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.287286884763446, cost: 3.9181332899262955e-06, fitness inc: 3.9181332899262955e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 7.083352892123251e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.08709318544352, cost: 3.146462745906575e-08, fitness inc: 3.146462745906575e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.51853748974647, cost: 1.778667288965252e-05, fitness inc: 1.778667288965252e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9851222104138375, cost: 3.227999708643736e-07, fitness inc: 3.227999708643736e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000000222, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.900000000057, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 1.9055603866724447e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.87213374709354, cost: 6.782129935434256e-08, fitness inc: 6.782129935434256e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.09973992779192, cost: 7.673428881194155e-08, fitness inc: 7.673428881194155e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9851222104138375, cost: 3.227999708643736e-07, fitness inc: 3.227999708643736e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.9000000000022, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 1.3820219377791432e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.19541582732523, cost: 1.584067417237378e-07, fitness inc: 1.584067417237378e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.54781680914677, cost: 1.5771737843506273e-06, fitness inc: 1.5771737843506273e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.969304048689515, cost: 1.3741001926304008e-06, fitness inc: 1.3741001926304008e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.000000000000625, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.00000000005724, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.90000000000248, cost: 1.347731516943007e-06, fitness inc: 1.347731516943007e-06 Fitness: 7.4440744425308125e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.43845449227038, cost: 7.974490781048615e-07, fitness inc: 7.974490781048615e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.8947556134303, cost: 8.543764162816103e-08, fitness inc: 8.543764162816103e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 8.940837350479569e-07 >>>>> Evaluating: >>>>> [65.30221574935979, 249.28217536645843, -10.002839381949968] >>>>> [65.48149550361144, 250.05692048313554, -9.032821257384857] >>>>> [65.14882311191958, 248.88427712821104, -9.980175934842437] >>>>> [65.90257584354624, 251.17233593590296, -9.499039436481485] >>>>> [67.39313598614312, 250.80933258384474, -8.258212132157063] >>>>> [65.07031385329371, 250.3373676664962, -9.739261006529846] >>>>> [65.22140714028332, 250.6104004615247, -10.003263317390243] >>>>> [65.21796151804297, 249.94414602483752, -9.168093001433748] >>>>> [65.69188562065713, 251.4224690500857, -9.88101166400679] >>>>> [65.13060406396524, 249.59478164187732, -10.967230687920752] >> Running individual: {'amp': 65.30221574935979, 'period': 249.28217536645843, 'offset': -10.002839381949968} >> Running individual: {'amp': 65.48149550361144, 'period': 250.05692048313554, 'offset': -9.032821257384857} >> Running individual: {'amp': 65.14882311191958, 'period': 248.88427712821104, 'offset': -9.980175934842437} >> Running individual: {'amp': 65.90257584354624, 'period': 251.17233593590296, 'offset': -9.499039436481485} >> Running individual: {'amp': 67.39313598614312, 'period': 250.80933258384474, 'offset': -8.258212132157063} >> Running individual: {'amp': 65.07031385329371, 'period': 250.3373676664962, 'offset': -9.739261006529846} >> Running individual: {'amp': 65.22140714028332, 'period': 250.6104004615247, 'offset': -10.003263317390243} >> Running individual: {'amp': 65.21796151804297, 'period': 249.94414602483752, 'offset': -9.168093001433748} >> Running individual: {'amp': 65.69188562065713, 'period': 251.4224690500857, 'offset': -9.88101166400679} >> Running individual: {'amp': 65.13060406396524, 'period': 249.59478164187732, 'offset': -10.967230687920752} Target average_minimum (weight 1.0): target val: -75.0, actual: -75.30502701559026, cost: 3.859496948699359e-07, fitness inc: 3.859496948699359e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.29936733372588, cost: 6.912894434663031e-07, fitness inc: 6.912894434663031e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.011231448053936, cost: 1.8396204481962997e-07, fitness inc: 1.8396204481962997e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.30000000005668, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.30000000000175, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 1.8660010593363197e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.51429118255493, cost: 9.786013459578413e-07, fitness inc: 9.786013459578413e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.448663662335264, cost: 1.6187489857433235e-05, fitness inc: 1.6187489857433235e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.99893361770133, cost: 1.6583747708409646e-09, fitness inc: 1.6583747708409646e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.0000000000568, cost: 0.0, fitness inc: 0.0 Fitness: 1.7171482911582103e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.12896709390135, cost: 6.899411630900687e-08, fitness inc: 6.899411630900687e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.16864063048557, cost: 2.193692475449538e-07, fitness inc: 2.193692475449538e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.017677782241247, cost: 4.5573477047700095e-07, fitness inc: 4.5573477047700095e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.9000000000566, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.90000000000163, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Fitness: 2.1851641041070735e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.4015922779912, cost: 6.68997777286684e-07, fitness inc: 6.68997777286684e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.40352212276057, cost: 1.5194392205097884e-05, fitness inc: 1.5194392205097884e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9814200398135853, cost: 5.034381723723058e-07, fitness inc: 5.034381723723058e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.20000000005712, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.10000000005704, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Fitness: 1.7893760706266804e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.65134124961516, cost: 1.7598297706866717e-06, fitness inc: 1.7598297706866717e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 59.134915910869935, cost: 0.00013186438043388815, fitness inc: 0.00013186438043388815 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987240829345477, cost: 2.3741141252919817e-07, fitness inc: 2.3741141252919817e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.80000000000217, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 0.00013457842144593002 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.80955388907678, cost: 1.5045215406850332e-07, fitness inc: 1.5045215406850332e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.33104052995816, cost: 8.453048803147567e-07, fitness inc: 8.453048803147567e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9946737683083056, cost: 4.13710833369052e-08, fitness inc: 4.13710833369052e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005688, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 1.1901947761794318e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.2246482516335, cost: 2.0934387234827767e-07, fitness inc: 2.0934387234827767e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.21812032342103, cost: 3.669809435224991e-07, fitness inc: 3.669809435224991e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9904229848357766, cost: 1.3375717722308167e-07, fitness inc: 1.3375717722308167e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.60000000005698, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.60000000000213, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Fitness: 1.2178152332120717e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.38602764127718, cost: 1.5636920147610311e-06, fitness inc: 1.5636920147610311e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.049857665585066, cost: 8.501754525047645e-06, fitness inc: 8.501754525047645e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.001066951186367, cost: 1.6601444663422171e-09, fitness inc: 1.6601444663422171e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.0000000000568, cost: 0.0, fitness inc: 0.0 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.9000000000019, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 1.0070840017695204e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.57288804107746, cost: 1.3614233039804802e-06, fitness inc: 1.3614233039804802e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.810858671916094, cost: 5.071536263723253e-06, fitness inc: 5.071536263723253e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.977724741447277, cost: 7.236057275594732e-07, fitness inc: 7.236057275594732e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.40000000005716, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.40000000000234, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Fitness: 9.575763310842866e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.09783265621355, cost: 4.999474730871256e-06, fitness inc: 4.999474730871256e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.16337095255737, cost: 5.3990200417075584e-06, fitness inc: 5.3990200417075584e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.00641025640964, cost: 5.99249361243892e-08, fitness inc: 5.99249361243892e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.60000000005675, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.60000000000184, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 1.0637619698217193e-05 >>>>> Evaluating: >>>>> [65.11140284256334, 250.0989279647859, -9.28442145770068] >>>>> [64.89039941159302, 250.9588804072056, -9.733134424141415] >>>>> [65.13801323558073, 250.21784173947586, -9.911324028336127] >>>>> [65.09808559826722, 250.5690088807138, -11.618962458234904] >>>>> [65.50657882876911, 250.5126401601803, -9.803105454388882] >>>>> [64.98000021971339, 250.32250368617994, -9.836121891806192] >>>>> [64.15706463738195, 249.28217536645843, -12.89766806939286] >>>>> [64.16442785375605, 249.6181163125256, -11.041506024749282] >>>>> [64.33095921216648, 250.40633487057008, -9.438069447780801] >>>>> [65.15314610069775, 248.703590740266, -9.204163914365026] >> Running individual: {'amp': 65.11140284256334, 'period': 250.0989279647859, 'offset': -9.28442145770068} >> Running individual: {'amp': 64.89039941159302, 'period': 250.9588804072056, 'offset': -9.733134424141415} >> Running individual: {'amp': 65.13801323558073, 'period': 250.21784173947586, 'offset': -9.911324028336127} >> Running individual: {'amp': 65.09808559826722, 'period': 250.5690088807138, 'offset': -11.618962458234904} >> Running individual: {'amp': 65.50657882876911, 'period': 250.5126401601803, 'offset': -9.803105454388882} >> Running individual: {'amp': 64.98000021971339, 'period': 250.32250368617994, 'offset': -9.836121891806192} >> Running individual: {'amp': 64.15706463738195, 'period': 249.28217536645843, 'offset': -12.89766806939286} >> Running individual: {'amp': 64.16442785375605, 'period': 249.6181163125256, 'offset': -11.041506024749282} >> Running individual: {'amp': 64.33095921216648, 'period': 250.40633487057008, 'offset': -9.438069447780801} >> Running individual: {'amp': 65.15314610069775, 'period': 248.703590740266, 'offset': -9.204163914365026} Target average_minimum (weight 1.0): target val: -75.0, actual: -74.39580944245438, cost: 1.5142635493292644e-06, fitness inc: 1.5142635493292644e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.82697036815206, cost: 5.275079532740534e-06, fitness inc: 5.275079532740534e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 6.800540097384733e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.62351883659288, cost: 5.879501518979424e-07, fitness inc: 5.879501518979424e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.15724640267216, cost: 1.9072725621072095e-07, fitness inc: 1.9072725621072095e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9845929074240094, cost: 3.461768617318839e-07, fitness inc: 3.461768617318839e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.000000000057, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.90000000005705, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 2.0395206485890327e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.04932566502201, cost: 1.0092532476413396e-08, fitness inc: 1.0092532476413396e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.226673794893145, cost: 3.963271874019014e-07, fitness inc: 3.963271874019014e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 5.109291840721397e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.71703458484286, cost: 1.2229453021705972e-05, fitness inc: 1.2229453021705972e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.47909893973514, cost: 1.7842084129138236e-05, fitness inc: 1.7842084129138236e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.990953837966658, cost: 1.1933984667145126e-07, fitness inc: 1.1933984667145126e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.60000000005692, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.50000000005696, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Fitness: 3.0478343633899563e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.30968191762177, cost: 3.9781923766302185e-07, fitness inc: 3.9781923766302185e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.70344362207145, cost: 3.816878550999547e-06, fitness inc: 3.816878550999547e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9914848323570213, cost: 1.0574093878279456e-07, fitness inc: 1.0574093878279456e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.60000000005692, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.50000000000207, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Fitness: 4.607905363829268e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.8161003152858, cost: 1.4028659267584231e-07, fitness inc: 1.4028659267584231e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.14386113658525, cost: 1.5963874733238015e-07, fitness inc: 1.5963874733238015e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9952057530956684, cost: 3.351950383922997e-08, fitness inc: 3.351950383922997e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.3000000000569, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 4.603781712519961e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -77.0547050840975, cost: 1.751239901615076e-05, fitness inc: 1.751239901615076e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 51.25938769272141, cost: 0.00010791701716028612, fitness inc: 0.00010791701716028612 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.011231448053936, cost: 1.8396204481962997e-07, fitness inc: 1.8396204481962997e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.30000000005668, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.30000000000175, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 0.00012621817809743696 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.20590900006103, cost: 1.758752959934995e-07, fitness inc: 1.758752959934995e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.122902082102435, cost: 2.7177747469631086e-05, fitness inc: 2.7177747469631086e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.005875283748883, cost: 5.0340146162675126e-08, fitness inc: 5.0340146162675126e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.70000000005678, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.60000000000184, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 2.7557029570246527e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.76902562922304, cost: 6.285640674619231e-06, fitness inc: 6.285640674619231e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.89288625958169, cost: 8.849968768931404e-08, fitness inc: 8.849968768931404e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9936102236415563, cost: 5.9542640817866754e-08, fitness inc: 5.9542640817866754e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005693, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000000205, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 6.612882992640401e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.3572894874908, cost: 1.7135008387736406e-06, fitness inc: 1.7135008387736406e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.94897456778867, cost: 6.9463639924549625e-06, fitness inc: 6.9463639924549625e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.020908725371316, cost: 6.37546171966541e-07, fitness inc: 6.37546171966541e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.200000000000614, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 248.70000000005655, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 248.70000000000158, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Fitness: 1.1096876584737458e-05 >>>>> Evaluating: >>>>> [65.16064691626865, 250.10064115776666, -8.628197422554768] >>>>> [62.62741442772734, 250.19109367474545, -10.27740064063778] >>>>> [64.26389964886337, 250.72189830987486, -9.993750944039139] >>>>> [65.03763329796975, 250.44034215209714, -10.812964479808127] >>>>> [64.56900193629644, 249.5199619373043, -9.596384804886624] >>>>> [64.55498826064131, 250.2314145976267, -9.662710901797558] >>>>> [64.4655513307629, 250.69871739832573, -8.478506037121283] >>>>> [65.06666095373946, 250.80032446368173, -9.870893024714608] >>>>> [65.24454384539872, 250.34947330678108, -11.3907430884671] >>>>> [65.15303631976678, 250.22607651439125, -9.932286607600572] >> Running individual: {'amp': 65.16064691626865, 'period': 250.10064115776666, 'offset': -8.628197422554768} >> Running individual: {'amp': 62.62741442772734, 'period': 250.19109367474545, 'offset': -10.27740064063778} >> Running individual: {'amp': 64.26389964886337, 'period': 250.72189830987486, 'offset': -9.993750944039139} >> Running individual: {'amp': 65.03763329796975, 'period': 250.44034215209714, 'offset': -10.812964479808127} >> Running individual: {'amp': 64.56900193629644, 'period': 249.5199619373043, 'offset': -9.596384804886624} >> Running individual: {'amp': 64.55498826064131, 'period': 250.2314145976267, 'offset': -9.662710901797558} >> Running individual: {'amp': 64.4655513307629, 'period': 250.69871739832573, 'offset': -8.478506037121283} >> Running individual: {'amp': 65.06666095373946, 'period': 250.80032446368173, 'offset': -9.870893024714608} >> Running individual: {'amp': 65.24454384539872, 'period': 250.34947330678108, 'offset': -11.3907430884671} >> Running individual: {'amp': 65.15303631976678, 'period': 250.22607651439125, 'offset': -9.932286607600572} Target average_minimum (weight 1.0): target val: -75.0, actual: -73.78883260906268, cost: 6.084991205024259e-06, fitness inc: 6.084991205024259e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.53243545180524, cost: 1.8113731278135425e-05, fitness inc: 1.8113731278135425e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 2.420991949847462e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -72.9047906345915, cost: 1.8209633436905293e-05, fitness inc: 1.8209633436905293e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 52.34998843948838, cost: 5.4165582620391284e-05, fitness inc: 5.4165582620391284e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9968025579530213, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.20000000000198, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 7.24199921916524e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.25762853233586, cost: 2.286103083060098e-06, fitness inc: 2.286103083060098e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.27013302736917, cost: 4.109008552966031e-06, fitness inc: 4.109008552966031e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 7.181824672297665e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.85058481713519, cost: 3.0011534927210093e-06, fitness inc: 3.0011534927210093e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.224650333660115, cost: 4.637080134539673e-06, fitness inc: 4.637080134539673e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.993078663649058, cost: 6.986130296482429e-08, fitness inc: 6.986130296482429e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.50000000000207, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000005688, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 7.920894914525967e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.1653621262901, cost: 2.8896761901098245e-06, fitness inc: 2.8896761901098245e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.972604914796, cost: 5.788908907788937e-09, fitness inc: 5.788908907788937e-09 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.0080160320635105, cost: 9.370778097927968e-08, fitness inc: 9.370778097927968e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.50000000005673, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.50000000000182, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Fitness: 3.235572859083824e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.21768526965646, cost: 2.5387279910527027e-06, fitness inc: 2.5387279910527027e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.89225388490547, cost: 8.954773544900263e-08, fitness inc: 8.954773544900263e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996270147861379, cost: 2.0288036806093146e-08, fitness inc: 2.0288036806093146e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.3000000000569, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 2.7568304249436792e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -72.94404686175339, cost: 1.7533679614545328e-05, fitness inc: 1.7533679614545328e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.987030223613694, cost: 7.514654974394297e-06, fitness inc: 7.514654974394297e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 2.583504762521116e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.93755397043772, cost: 1.6175730976897285e-08, fitness inc: 1.6175730976897285e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.19576791975456, cost: 2.9562035208652304e-07, fitness inc: 2.9562035208652304e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987240829345477, cost: 2.3741141252919817e-07, fitness inc: 2.3741141252919817e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005703, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.80000000000217, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Fitness: 1.2660073244186165e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.63526578897574, cost: 1.1092415863056537e-05, fitness inc: 1.1092415863056537e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.85378542288308, cost: 1.0133952395685597e-05, fitness inc: 1.0133952395685597e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9946737683083056, cost: 4.13710833369052e-08, fitness inc: 4.13710833369052e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005688, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 2.1420806000538306e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.08531322458764, cost: 3.0191657840461517e-08, fitness inc: 3.0191657840461517e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.22073186206061, cost: 3.758212190341226e-07, fitness inc: 3.758212190341226e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 5.10522341068409e-07 >>>>> Evaluating: >>>>> [64.87977734558719, 249.44173410296344, -11.321712630238459] >>>>> [64.84981766095649, 250.92933259897168, -10.476600561300685] >>>>> [64.97973008378258, 249.80791741862592, -9.82820200155217] >>>>> [64.7405870423147, 250.69182289603046, -9.847133691190654] >>>>> [64.97964988370336, 249.0865555671338, -9.882591947337577] >>>>> [65.64249607950065, 251.61873612498312, -10.036106141574432] >>>>> [63.876221142991305, 250.1481921626505, -9.882028190868608] >>>>> [65.18355249443256, 251.3472369011494, -9.627816895593341] >>>>> [65.05679515301661, 250.4354198352033, -9.057959972991885] >>>>> [66.2624867948555, 250.30107691353754, -9.78004687700273] >> Running individual: {'amp': 64.87977734558719, 'period': 249.44173410296344, 'offset': -11.321712630238459} >> Running individual: {'amp': 64.84981766095649, 'period': 250.92933259897168, 'offset': -10.476600561300685} >> Running individual: {'amp': 64.97973008378258, 'period': 249.80791741862592, 'offset': -9.82820200155217} >> Running individual: {'amp': 64.7405870423147, 'period': 250.69182289603046, 'offset': -9.847133691190654} >> Running individual: {'amp': 64.97964988370336, 'period': 249.0865555671338, 'offset': -9.882591947337577} >> Running individual: {'amp': 65.64249607950065, 'period': 251.61873612498312, 'offset': -10.036106141574432} >> Running individual: {'amp': 63.876221142991305, 'period': 250.1481921626505, 'offset': -9.882028190868608} >> Running individual: {'amp': 65.18355249443256, 'period': 251.3472369011494, 'offset': -9.627816895593341} >> Running individual: {'amp': 65.05679515301661, 'period': 250.4354198352033, 'offset': -9.057959972991885} >> Running individual: {'amp': 66.2624867948555, 'period': 250.30107691353754, 'offset': -9.78004687700273} Target average_minimum (weight 1.0): target val: -75.0, actual: -76.20147542045247, cost: 5.987995137179958e-06, fitness inc: 5.987995137179958e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.55804565637168, cost: 1.6037898488252544e-05, fitness inc: 1.6037898488252544e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.009087264465506, cost: 1.204267831012018e-07, fitness inc: 1.204267831012018e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.40000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.50000000005673, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.4000000000018, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Fitness: 2.2433787044917608e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.32640014216025, cost: 4.419312830128419e-07, fitness inc: 4.419312830128419e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.37320180482614, cost: 3.030439127638118e-06, fitness inc: 3.030439127638118e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9851222104138375, cost: 3.227999708643736e-07, fitness inc: 3.227999708643736e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000000222, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.900000000057, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 4.709836760263819e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.80790437416586, cost: 1.5306966927308707e-07, fitness inc: 1.5306966927308707e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.15149961947484, cost: 1.770412281221212e-07, fitness inc: 1.770412281221212e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.003202562049023, cost: 1.4957255212166842e-08, fitness inc: 1.4957255212166842e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.8000000000568, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.8000000000019, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 3.749348186365964e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.58771750333933, cost: 7.05088687658062e-07, fitness inc: 7.05088687658062e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.89342183171637, cost: 8.761689784808624e-08, fitness inc: 8.761689784808624e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9893617021270438, cost: 1.6504448774323777e-07, fitness inc: 1.6504448774323777e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.70000000005695, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.60000000005698, cost: 1.3439998192144031e-07, fitness inc: 1.3439998192144031e-07 Fitness: 1.514016631398718e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.86223929507982, cost: 7.872359830685127e-08, fitness inc: 7.872359830685127e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.09702933165844, cost: 7.26202022960365e-08, fitness inc: 7.26202022960365e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.014989293361268, cost: 3.2765664437217623e-07, fitness inc: 3.2765664437217623e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.300000000000615, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.10000000005664, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.00000000005656, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 1.3936668237235494e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.67857750917567, cost: 1.9100834933727384e-06, fitness inc: 1.9100834933727384e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.606370101445265, cost: 2.836127382832565e-06, fitness inc: 2.836127382832565e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9740362961975575, cost: 9.830818264999763e-07, fitness inc: 9.830818264999763e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.70000000005723, cost: 1.0789321692739051e-06, fitness inc: 1.0789321692739051e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 8.71968971194459e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.75823701278597, cost: 6.39630114041001e-06, fitness inc: 6.39630114041001e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.99417760898601, cost: 7.803521226645849e-06, fitness inc: 7.803521226645849e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.997335109926099, cost: 1.0356556834345554e-08, fitness inc: 1.0356556834345554e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.1000000000568, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 1.4228845590325001e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.8113563210962, cost: 1.4761779332239655e-07, fitness inc: 1.4761779332239655e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.555720071988475, cost: 2.3821139826241122e-06, fitness inc: 2.3821139826241122e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9782522211902083, cost: 6.897414371875854e-07, fitness inc: 6.897414371875854e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.40000000005716, cost: 7.317327977984789e-07, fitness inc: 7.317327977984789e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.30000000005708, cost: 6.309329352305326e-07, fitness inc: 6.309329352305326e-07 Fitness: 5.119738657244355e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.11474040021251, cost: 3.2508290842558907e-06, fitness inc: 3.2508290842558907e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.99882146450961, cost: 7.695268854912563e-06, fitness inc: 7.695268854912563e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.993078663649058, cost: 6.986130296482429e-08, fitness inc: 6.986130296482429e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.5000000000569, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000000205, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 1.1228759226433738e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -76.04251856606794, cost: 4.508373585121461e-06, fitness inc: 4.508373585121461e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.48242873245077, cost: 1.6950858258701906e-05, fitness inc: 1.6950858258701906e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9952057530956684, cost: 3.351950383922997e-08, fitness inc: 3.351950383922997e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.3000000000569, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.30000000000203, cost: 3.359999878327358e-08, fitness inc: 3.359999878327358e-08 Fitness: 2.161968467506714e-05 >>>>> Evaluating: >>>>> [65.07002626823929, 250.43202302669278, -8.980347656441086] >>>>> [65.14909989552251, 250.21054269055864, -7.059678535813125] >>>>> [63.89311704338137, 251.0638602467892, -9.948669836681596] >>>>> [65.08713957125326, 249.86495975965335, -10.003408025271458] >>>>> [64.64276065177245, 250.9488261468733, -9.931675898297394] >>>>> [65.00919954127119, 250.7021487036372, -10.42016207689765] >>>>> [64.86535167230237, 250.77893998581578, -11.01796309555373] >>>>> [64.88612594589866, 250.14851985965362, -10.136108292610189] >>>>> [65.13801323558073, 251.84126478950927, -9.911324028336127] >>>>> [65.13801323558073, 250.21784173947586, -9.911324028336127] >> Running individual: {'amp': 65.07002626823929, 'period': 250.43202302669278, 'offset': -8.980347656441086} >> Running individual: {'amp': 65.14909989552251, 'period': 250.21054269055864, 'offset': -7.059678535813125} >> Running individual: {'amp': 63.89311704338137, 'period': 251.0638602467892, 'offset': -9.948669836681596} >> Running individual: {'amp': 65.08713957125326, 'period': 249.86495975965335, 'offset': -10.003408025271458} >> Running individual: {'amp': 64.64276065177245, 'period': 250.9488261468733, 'offset': -9.931675898297394} >> Running individual: {'amp': 65.00919954127119, 'period': 250.7021487036372, 'offset': -10.42016207689765} >> Running individual: {'amp': 64.86535167230237, 'period': 250.77893998581578, 'offset': -11.01796309555373} >> Running individual: {'amp': 64.88612594589866, 'period': 250.14851985965362, 'offset': -10.136108292610189} >> Running individual: {'amp': 65.13801323558073, 'period': 251.84126478950927, 'offset': -9.911324028336127} >> Running individual: {'amp': 65.13801323558073, 'period': 250.21784173947586, 'offset': -9.911324028336127} Target average_minimum (weight 1.0): target val: -75.0, actual: -74.05035582189498, cost: 3.7408858309939674e-06, fitness inc: 3.7408858309939674e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.089665995570215, cost: 9.15870826423415e-06, fitness inc: 9.15870826423415e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.993078663649058, cost: 6.986130296482429e-08, fitness inc: 6.986130296482429e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.5000000000569, cost: 9.33333246244672e-08, fitness inc: 9.33333246244672e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000000205, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 1.3182255382493402e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -72.20875646205981, cost: 3.2317345728283264e-05, fitness inc: 3.2317345728283264e-05 Target average_maximum (weight 1.0): target val: 55.0, actual: 58.08939805861054, cost: 7.361514520676238e-05, fitness inc: 7.361514520676238e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 0.00010603700039923947 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.84177271908443, cost: 5.564670094937441e-06, fitness inc: 5.564670094937441e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.94442774760914, cost: 8.594559146812841e-06, fitness inc: 8.594559146812841e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.983005841741286, cost: 4.211685527000242e-07, fitness inc: 4.211685527000242e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.80000000000062, cost: 5.375997110812492e-07, fitness inc: 5.375997110812492e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.1000000000571, cost: 4.5173312934743137e-07, fitness inc: 4.5173312934743137e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.00000000000222, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Fitness: 1.594306382890487e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.09053291015766, cost: 3.3999083104419014e-08, fitness inc: 3.3999083104419014e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.083712821441274, cost: 5.405493408439099e-08, fitness inc: 5.405493408439099e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.002134471717634, cost: 6.644122141352682e-09, fitness inc: 6.644122141352682e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.90000000005682, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.8000000000019, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 1.1336480576495944e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.57442449074092, cost: 7.512892716832198e-07, fitness inc: 7.512892716832198e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.71106924945402, cost: 6.439299987670566e-07, fitness inc: 6.439299987670566e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9845929074240094, cost: 3.461768617318839e-07, fitness inc: 3.461768617318839e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.00000000005707, cost: 3.7333319402588216e-07, fitness inc: 3.7333319402588216e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.900000000057, cost: 3.023999084472706e-07, fitness inc: 3.023999084472706e-07 Fitness: 2.6560625109306457e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.4293446675229, cost: 7.646559513352358e-07, fitness inc: 7.646559513352358e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.58902813594304, cost: 1.3027918137620276e-06, fitness inc: 1.3027918137620276e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.98883127243656, cost: 1.8191316009108505e-07, fitness inc: 1.8191316009108505e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.70000000000215, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 2.854160801368799e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.8832918371776, cost: 3.2363932516155103e-06, fitness inc: 3.2363932516155103e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 53.847368412080954, cost: 1.0247737453616956e-05, fitness inc: 1.0247737453616956e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.987770836102003, cost: 2.1809727490662567e-07, fitness inc: 2.1809727490662567e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.70000000000062, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.80000000005697, cost: 2.3893327627533267e-07, fitness inc: 2.3893327627533267e-07 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.700000000057, cost: 1.8293329995255903e-07, fitness inc: 1.8293329995255903e-07 Fitness: 1.4363027832642317e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.0222219027274, cost: 2.0484092200234727e-09, fitness inc: 2.0484092200234727e-09 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.75000203695532, cost: 4.820855755705011e-07, fitness inc: 4.820855755705011e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.997335109926099, cost: 1.0356556834345554e-08, fitness inc: 1.0356556834345554e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.1000000000568, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 5.131572080596669e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.04932246330073, cost: 1.0091222191199734e-08, fitness inc: 1.0091222191199734e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.226670629704444, cost: 3.9631611914447973e-07, fitness inc: 3.9631611914447973e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9708802117796638, cost: 1.2366098169902529e-06, fitness inc: 1.2366098169902529e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.000000000000625, cost: 1.4933311034415198e-06, fitness inc: 1.4933311034415198e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.90000000005728, cost: 1.347731516943007e-06, fitness inc: 1.347731516943007e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.80000000000246, cost: 1.2095985367777118e-06, fitness inc: 1.2095985367777118e-06 Fitness: 5.693678315488171e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.04932566502201, cost: 1.0092532476413396e-08, fitness inc: 1.0092532476413396e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.226673794893145, cost: 3.963271874019014e-07, fitness inc: 3.963271874019014e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.996802557953021, cost: 1.490946832660711e-08, fitness inc: 1.490946832660711e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.2000000000569, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.200000000002, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 5.109291840721397e-07 >>>>> Evaluating: >>>>> [65.04013150227944, 249.94702220426484, -8.920681662274502] >>>>> [64.0954735982291, 251.6365923166513, -9.815912568341883] >>>>> [64.97817981482932, 252.31095725119448, -10.020667749008714] >>>>> [65.34574874392167, 252.69701586822814, -8.900267891007596] >>>>> [65.1558391482136, 250.07286717417034, -9.380917851885908] >>>>> [65.15370635855614, 250.40969022908354, -10.582577922058658] >>>>> [65.22355518158001, 250.1056118183978, -9.98124224824308] >>>>> [65.19277958773318, 249.93186412010212, -9.981619573475848] >>>>> [64.67229965743284, 250.09002491136064, -10.475999858514882] >>>>> [64.8977010607368, 249.81064217482378, -9.889016276364258] >> Running individual: {'amp': 65.04013150227944, 'period': 249.94702220426484, 'offset': -8.920681662274502} >> Running individual: {'amp': 64.0954735982291, 'period': 251.6365923166513, 'offset': -9.815912568341883} >> Running individual: {'amp': 64.97817981482932, 'period': 252.31095725119448, 'offset': -10.020667749008714} >> Running individual: {'amp': 65.34574874392167, 'period': 252.69701586822814, 'offset': -8.900267891007596} >> Running individual: {'amp': 65.1558391482136, 'period': 250.07286717417034, 'offset': -9.380917851885908} >> Running individual: {'amp': 65.15370635855614, 'period': 250.40969022908354, 'offset': -10.582577922058658} >> Running individual: {'amp': 65.22355518158001, 'period': 250.1056118183978, 'offset': -9.98124224824308} >> Running individual: {'amp': 65.19277958773318, 'period': 249.93186412010212, 'offset': -9.981619573475848} >> Running individual: {'amp': 64.67229965743284, 'period': 250.09002491136064, 'offset': -10.475999858514882} >> Running individual: {'amp': 64.8977010607368, 'period': 249.81064217482378, 'offset': -9.889016276364258} Target average_minimum (weight 1.0): target val: -75.0, actual: -73.96078768684161, cost: 4.479823263126015e-06, fitness inc: 4.479823263126015e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.11943720645253, cost: 9.665997602770204e-06, fitness inc: 9.665997602770204e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.001066951186367, cost: 1.6601444663422171e-09, fitness inc: 1.6601444663422171e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.0000000000568, cost: 0.0, fitness inc: 0.0 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.9000000000019, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 1.4151214343782748e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -73.91137253343716, cost: 4.915986693165841e-06, fitness inc: 4.915986693165841e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.27954681285536, cost: 4.003696988608141e-06, fitness inc: 4.003696988608141e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9740362961975575, cost: 9.830818264999763e-07, fitness inc: 9.830818264999763e-07 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.900000000000624, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 251.70000000005717, cost: 1.0789321692739051e-06, fitness inc: 1.0789321692739051e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 251.60000000000238, cost: 9.557324199827022e-07, fitness inc: 9.557324199827022e-07 Fitness: 1.2893162517513268e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.99881352784912, cost: 5.839329020318473e-12, fitness inc: 5.839329020318473e-12 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.95750835854451, cost: 1.3927026865090397e-08, fitness inc: 1.3927026865090397e-08 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.963535473641875, cost: 1.939086193614159e-06, fitness inc: 1.939086193614159e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.10000000000063, cost: 2.1503953758772454e-06, fitness inc: 2.1503953758772454e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.30000000005737, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.3000000000026, cost: 1.974929432990713e-06, fitness inc: 1.974929432990713e-06 Fitness: 8.053273301666941e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.24600861365639, cost: 2.3582291498458474e-06, fitness inc: 2.3582291498458474e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 56.44546217791575, cost: 1.6116022753975834e-05, fitness inc: 1.6116022753975834e-05 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9572615749894933, cost: 2.663745155673247e-06, fitness inc: 2.663745155673247e-06 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 63.20000000000063, cost: 2.926924766333272e-06, fitness inc: 2.926924766333272e-06 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 252.70000000005746, cost: 2.721592592958011e-06, fitness inc: 2.721592592958011e-06 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 252.70000000000272, cost: 2.721592592958011e-06, fitness inc: 2.721592592958011e-06 Fitness: 2.9508107011744222e-05 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.5367377095189, cost: 8.902413695111022e-07, fitness inc: 8.902413695111022e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.774905530142554, cost: 4.631769251361995e-06, fitness inc: 4.631769251361995e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.99893361770133, cost: 1.6583747708409646e-09, fitness inc: 1.6583747708409646e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.1000000000568, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.00000000005684, cost: 0.0, fitness inc: 0.0 Fitness: 5.527402329064124e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.73627709859709, cost: 2.2487225056488924e-06, fitness inc: 2.2487225056488924e-06 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.57112013103574, cost: 1.4188030492690018e-06, fitness inc: 1.4188030492690018e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.9936102236415563, cost: 5.9542640817866754e-08, fitness inc: 5.9542640817866754e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.60000000000062, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.40000000005693, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.40000000000205, cost: 5.973332983799651e-08, fitness inc: 5.973332983799651e-08 Fitness: 3.9062681852497505e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.20479225537345, cost: 1.7397275497987863e-07, fitness inc: 1.7397275497987863e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.24228716786813, cost: 4.528058578090466e-07, fitness inc: 4.528058578090466e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 6.379756281038595e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.1743791059702, cost: 1.261371741501094e-07, fitness inc: 1.261371741501094e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.211143790094866, cost: 3.438807639755126e-07, fitness inc: 3.438807639755126e-07 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.001066951186367, cost: 1.6601444663422171e-09, fitness inc: 1.6601444663422171e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.00000000005684, cost: 0.0, fitness inc: 0.0 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.9000000000019, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 4.754114160121503e-07 Target average_minimum (weight 1.0): target val: -75.0, actual: -75.14826467955037, cost: 9.118630661664184e-08, fitness inc: 9.118630661664184e-08 Target average_maximum (weight 1.0): target val: 55.0, actual: 54.19629609881056, cost: 4.982432173061824e-06, fitness inc: 4.982432173061824e-06 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 3.998400639743486, cost: 3.730348474562106e-09, fitness inc: 3.730348474562106e-09 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 250.10000000005687, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 250.10000000000196, cost: 3.7333334201861135e-09, fitness inc: 3.7333334201861135e-09 Fitness: 5.0848154949934e-06 Target average_minimum (weight 1.0): target val: -75.0, actual: -74.78669557852295, cost: 1.8873562879218042e-07, fitness inc: 1.8873562879218042e-07 Target average_maximum (weight 1.0): target val: 55.0, actual: 55.00866166962294, cost: 5.787015311398136e-10, fitness inc: 5.787015311398136e-10 Target min_peak_no (weight 1): target val: 3, actual: 3, cost: 0.0, fitness inc: 0.0 Target max_peak_no (weight 1.0): target val: 4, actual: 4, cost: 0.0, fitness inc: 0.0 Target mean_spike_frequency (weight 1): target val: 3.9999999999993836, actual: 4.003202562049023, cost: 1.4957255212166842e-08, fitness inc: 1.4957255212166842e-08 Target first_spike_time (weight 1.0): target val: 62.50000000000062, actual: 62.50000000000062, cost: 0.0, fitness inc: 0.0 Target max_interspike_time (weight 1.0): target val: 250.00000000005684, actual: 249.8000000000568, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Target min_interspike_time (weight 1.0): target val: 250.00000000000193, actual: 249.8000000000019, cost: 1.493333301461064e-08, fitness inc: 1.493333301461064e-08 Fitness: 2.3413825156470836e-07 [65.08713957125326, 249.86495975965335, -10.003408025271458] : 1.1336480576495944e-07 Fittest individual: [65.08713957125326, 249.86495975965335, -10.003408025271458] : 1.1336480576495944e-07 >> Running individual: {'amp': 65.08713957125326, 'period': 249.86495975965335, 'offset': -10.003408025271458} Surrogate analysis { 'average_maximum': 55.0, 'average_minimum': -75.0, 'first_spike_time': 62.50000000000062, 'interspike_time_covar': 1.0348714532315371e-13, 'max_interspike_time': 250.00000000005684, 'max_peak_no': 4, 'mean_spike_frequency': 3.9999999999993836, 'min_interspike_time': 250.00000000000193, 'min_peak_no': 3, 'peak_decay_exponent': -3.517249985644568e-17, 'peak_linear_gradient': 3.5373390409898285e-17, 'spike_broadening': 1.0000000000000002, 'spike_frequency_adaptation': -1.7560457642888012e-06, 'spike_width_adaptation': -6.821016401736408e-08, 'trough_decay_exponent': 2.4551085061087107e-17, 'trough_phase_adaptation': 6.361476760577345e-08} Fittest analysis { 'average_maximum': 55.083712821441274, 'average_minimum': -75.09053291015766, 'first_spike_time': 62.50000000000062, 'interspike_time_covar': 0.0001886624283817172, 'max_interspike_time': 249.90000000005682, 'max_peak_no': 4, 'mean_spike_frequency': 4.002134471717634, 'min_interspike_time': 249.8000000000019, 'min_peak_no': 3, 'peak_decay_exponent': 4.6331315582777935e-08, 'peak_linear_gradient': -1.2967238255170832e-09, 'spike_broadening': 1.0000000091600745, 'spike_frequency_adaptation': -0.028588677210564982, 'spike_width_adaptation': -0.0034907721253526897, 'trough_decay_exponent': 3.371525681246925e-08, 'trough_phase_adaptation': -0.02442579714214998} >> Running individual: {'amp': 65, 'period': 250, 'offset': -10} Target data: {'value_200': -71.81867355918855, 'value_400': -48.07375757711509, 'value_812': 54.992609780270925} Traceback (most recent call last): File "/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/example_4/SineWavePointOptimizer.py", line 58, in best_candidate, fitness = my_optimizer.optimize(do_plot=False, seed=1234567) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-neurotune-0.2.6-build/BUILDROOT/usr/lib/python3.13/site-packages/neurotune/optimizers.py", line 128, in optimize stat_file = open(stat_file_name, "w") OSError: [Errno 30] Read-only file system: '/builddir/build/BUILD/python-neurotune-0.2.6-build/neurotune-0.2.6/examples-temp/data//ga_statistics.csv' error: Bad exit status from /var/tmp/rpm-tmp.l3B4R2 (%check) Bad exit status from /var/tmp/rpm-tmp.l3B4R2 (%check) RPM build errors: Child return code was: 1 EXCEPTION: [Error('Command failed: \n # /usr/bin/systemd-nspawn -q -M e774d9ac4faa4dd899c61b7d232a1371 -D /var/lib/mock/f41-build-815360-149434/root -a -u mockbuild --capability=cap_ipc_lock --bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf --bind=/dev/btrfs-control --bind=/dev/mapper/control --bind=/dev/fuse --bind=/dev/loop-control --bind=/dev/loop0 --bind=/dev/loop1 --bind=/dev/loop2 --bind=/dev/loop3 --bind=/dev/loop4 --bind=/dev/loop5 --bind=/dev/loop6 --bind=/dev/loop7 --bind=/dev/loop8 --bind=/dev/loop9 --bind=/dev/loop10 --bind=/dev/loop11 --console=pipe --setenv=TERM=vt100 --setenv=SHELL=/bin/bash --setenv=HOME=/builddir --setenv=HOSTNAME=mock --setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin --setenv=PROMPT_COMMAND=printf "\\033]0;\\007" --setenv=PS1= \\s-\\v\\$ --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c /usr/bin/rpmbuild -ba --noprep --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec\n', 1)] Traceback (most recent call last): File "/usr/lib/python3.11/site-packages/mockbuild/trace_decorator.py", line 93, in trace result = func(*args, **kw) ^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/site-packages/mockbuild/util.py", line 597, in do_with_status raise exception.Error("Command failed: \n # %s\n%s" % (command, output), child.returncode) mockbuild.exception.Error: Command failed: # /usr/bin/systemd-nspawn -q -M e774d9ac4faa4dd899c61b7d232a1371 -D /var/lib/mock/f41-build-815360-149434/root -a -u mockbuild --capability=cap_ipc_lock --bind=/tmp/mock-resolv.w0pfph5n:/etc/resolv.conf --bind=/dev/btrfs-control --bind=/dev/mapper/control --bind=/dev/fuse --bind=/dev/loop-control --bind=/dev/loop0 --bind=/dev/loop1 --bind=/dev/loop2 --bind=/dev/loop3 --bind=/dev/loop4 --bind=/dev/loop5 --bind=/dev/loop6 --bind=/dev/loop7 --bind=/dev/loop8 --bind=/dev/loop9 --bind=/dev/loop10 --bind=/dev/loop11 --console=pipe --setenv=TERM=vt100 --setenv=SHELL=/bin/bash --setenv=HOME=/builddir --setenv=HOSTNAME=mock --setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin --setenv=PROMPT_COMMAND=printf "\033]0;\007" --setenv=PS1= \s-\v\$ --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c /usr/bin/rpmbuild -ba --noprep --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-neurotune.spec