diff --git a/.gitmodules b/.gitmodules index d8f92a4..9d3198f 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,27 +1,27 @@ [submodule "controller/fw/libopencm3"] - path = controller/fw/libopencm3 + path = reset-controller/fw/libopencm3 url = https://github.com/libopencm3/libopencm3 [submodule "controller/fw/mspdebug"] - path = controller/fw/mspdebug + path = reset-controller/fw/mspdebug url = https://github.com/dlbeer/mspdebug [submodule "controller/fw/cmsis"] - path = controller/fw/cmsis + path = reset-controller/fw/cmsis url = https://git.jaseg.net/bigdata/pub/safety-reset-cmsis.git [submodule "controller/fw/libsodium"] - path = controller/fw/libsodium + path = reset-controller/fw/libsodium url = git@git.jaseg.net:bigdata/pub/libsodium-safety-reset.git [submodule "controller/fw/tinyaes"] - path = controller/fw/tinyaes + path = reset-controller/fw/tinyaes url = https://github.com/kokke/tiny-AES-c [submodule "controller/fw/musl"] - path = controller/fw/musl + path = reset-controller/fw/musl url = git://git.musl-libc.org/musl [submodule "controller/fw/crypto-algorithms"] - path = controller/fw/crypto-algorithms + path = reset-controller/fw/crypto-algorithms url = https://github.com/B-Con/crypto-algorithms [submodule "controller/fw/tinyprintf"] - path = controller/fw/tinyprintf + path = reset-controller/fw/tinyprintf url = https://github.com/cjlano/tinyprintf [submodule "controller/fw/reed_solomon"] - path = controller/fw/reed_solomon + path = reset-controller/fw/reed_solomon url = git@git.jaseg.net:bigdata/pub/reed_solomon_c.git diff --git a/README.rst b/README.rst new file mode 100644 index 0000000..0e108a2 --- /dev/null +++ b/README.rst @@ -0,0 +1 @@ +Thesis PDF: thesis/safety_reset.pdf diff --git a/controller/fw/libopencm3 b/controller/fw/libopencm3 deleted file mode 160000 index cb0661f..0000000 --- a/controller/fw/libopencm3 +++ /dev/null @@ -1 +0,0 @@ -Subproject commit cb0661f81de5b1cae52ca99c7b5985b678176db7 diff --git a/controller/fw/mspdebug b/controller/fw/mspdebug deleted file mode 160000 index b506542..0000000 --- a/controller/fw/mspdebug +++ /dev/null @@ -1 +0,0 @@ -Subproject commit b506542094de19a0a11e638a7e34e0bc4adf8d7c diff --git a/controller/fw/musl b/controller/fw/musl deleted file mode 160000 index 040c1d1..0000000 --- a/controller/fw/musl +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 040c1d16b468c50c04fc94edff521f1637708328 diff --git a/controller/fw/tinyaes b/controller/fw/tinyaes deleted file mode 160000 index 3fe133f..0000000 --- a/controller/fw/tinyaes +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 3fe133ffa32606b0d0d81e0ba1d8bacb392eb7e9 diff --git a/decoder_prototype.grc b/data/decoder_prototype.grc similarity index 100% rename from decoder_prototype.grc rename to data/decoder_prototype.grc diff --git a/decoder_prototype10.grc b/data/decoder_prototype10.grc similarity index 100% rename from decoder_prototype10.grc rename to data/decoder_prototype10.grc diff --git a/decoder_prototype10_am_ber_working.grc b/data/decoder_prototype10_am_ber_working.grc similarity index 100% rename from decoder_prototype10_am_ber_working.grc rename to data/decoder_prototype10_am_ber_working.grc diff --git a/decoder_prototype11.grc b/data/decoder_prototype11.grc similarity index 100% rename from decoder_prototype11.grc rename to data/decoder_prototype11.grc diff --git a/decoder_prototype12_snr_calc.grc b/data/decoder_prototype12_snr_calc.grc similarity index 100% rename from decoder_prototype12_snr_calc.grc rename to data/decoder_prototype12_snr_calc.grc diff --git a/decoder_prototype2.grc b/data/decoder_prototype2.grc similarity index 100% rename from decoder_prototype2.grc rename to data/decoder_prototype2.grc diff --git a/decoder_prototype3.grc b/data/decoder_prototype3.grc similarity index 100% rename from decoder_prototype3.grc rename to data/decoder_prototype3.grc diff --git a/decoder_prototype3_1mhz_20s_working.grc b/data/decoder_prototype3_1mhz_20s_working.grc similarity index 100% rename from decoder_prototype3_1mhz_20s_working.grc rename to data/decoder_prototype3_1mhz_20s_working.grc diff --git a/decoder_prototype4.grc b/data/decoder_prototype4.grc similarity index 100% rename from decoder_prototype4.grc rename to data/decoder_prototype4.grc diff --git a/decoder_prototype4_5s_2mHz.grc b/data/decoder_prototype4_5s_2mHz.grc similarity index 100% rename from decoder_prototype4_5s_2mHz.grc rename to data/decoder_prototype4_5s_2mHz.grc diff --git a/decoder_prototype5.grc b/data/decoder_prototype5.grc similarity index 100% rename from decoder_prototype5.grc rename to data/decoder_prototype5.grc diff --git a/decoder_prototype5_ber_working.grc b/data/decoder_prototype5_ber_working.grc similarity index 100% rename from decoder_prototype5_ber_working.grc rename to data/decoder_prototype5_ber_working.grc diff --git a/decoder_prototype6.grc b/data/decoder_prototype6.grc similarity index 100% rename from decoder_prototype6.grc rename to data/decoder_prototype6.grc diff --git a/decoder_prototype7.grc b/data/decoder_prototype7.grc similarity index 100% rename from decoder_prototype7.grc rename to data/decoder_prototype7.grc diff --git a/decoder_prototype7_preamble_tagging.grc b/data/decoder_prototype7_preamble_tagging.grc similarity index 100% rename from decoder_prototype7_preamble_tagging.grc rename to data/decoder_prototype7_preamble_tagging.grc diff --git a/decoder_prototype8.grc b/data/decoder_prototype8.grc similarity index 100% rename from decoder_prototype8.grc rename to data/decoder_prototype8.grc diff --git a/decoder_prototype8_ber_working.grc b/data/decoder_prototype8_ber_working.grc similarity index 100% rename from decoder_prototype8_ber_working.grc rename to data/decoder_prototype8_ber_working.grc diff --git a/decoder_prototype9.grc b/data/decoder_prototype9.grc similarity index 100% rename from decoder_prototype9.grc rename to data/decoder_prototype9.grc diff --git a/decoder_prototype9_am_dc_ber.grc b/data/decoder_prototype9_am_dc_ber.grc similarity index 100% rename from decoder_prototype9_am_dc_ber.grc rename to data/decoder_prototype9_am_dc_ber.grc diff --git a/decoder_prototype_working.grc b/data/decoder_prototype_working.grc similarity index 100% rename from decoder_prototype_working.grc rename to data/decoder_prototype_working.grc diff --git a/gnuradio-safety-reset-01-flowgraph.png b/data/gnuradio-safety-reset-01-flowgraph.png similarity index 100% rename from gnuradio-safety-reset-01-flowgraph.png rename to data/gnuradio-safety-reset-01-flowgraph.png diff --git a/gnuradio-safety-reset-02-flowgraph.png b/data/gnuradio-safety-reset-02-flowgraph.png similarity index 100% rename from gnuradio-safety-reset-02-flowgraph.png rename to data/gnuradio-safety-reset-02-flowgraph.png diff --git a/gnuradio-safety-reset-02-waveforms.png b/data/gnuradio-safety-reset-02-waveforms.png similarity index 100% rename from gnuradio-safety-reset-02-waveforms.png rename to data/gnuradio-safety-reset-02-waveforms.png diff --git a/gr_sweep_results.json b/data/gr_sweep_results.json similarity index 100% rename from gr_sweep_results.json rename to data/gr_sweep_results.json diff --git a/gr_sweep_results2.json b/data/gr_sweep_results2.json similarity index 100% rename from gr_sweep_results2.json rename to data/gr_sweep_results2.json diff --git a/results_digitalocean.json b/data/results_digitalocean.json similarity index 100% rename from results_digitalocean.json rename to data/results_digitalocean.json diff --git a/results_digitalocean2.json b/data/results_digitalocean2.json similarity index 100% rename from results_digitalocean2.json rename to data/results_digitalocean2.json diff --git a/results_digitalocean_undercommitted.json b/data/results_digitalocean_undercommitted.json similarity index 100% rename from results_digitalocean_undercommitted.json rename to data/results_digitalocean_undercommitted.json diff --git a/results_digitalocean_undercommitted2.json b/data/results_digitalocean_undercommitted2.json similarity index 100% rename from results_digitalocean_undercommitted2.json rename to data/results_digitalocean_undercommitted2.json diff --git a/gm_platform/fw/.gitignore b/hardware/fw/.gitignore similarity index 100% rename from gm_platform/fw/.gitignore rename to hardware/fw/.gitignore diff --git a/gm_platform/fw/Makefile b/hardware/fw/Makefile similarity index 100% rename from gm_platform/fw/Makefile rename to hardware/fw/Makefile diff --git a/gm_platform/fw/Scope.ipynb b/hardware/fw/Scope.ipynb similarity index 100% rename from gm_platform/fw/Scope.ipynb rename to hardware/fw/Scope.ipynb diff --git a/gm_platform/fw/adc.c b/hardware/fw/adc.c similarity index 100% rename from gm_platform/fw/adc.c rename to hardware/fw/adc.c diff --git a/gm_platform/fw/adc.h b/hardware/fw/adc.h similarity index 100% rename from gm_platform/fw/adc.h rename to hardware/fw/adc.h diff --git a/gm_platform/fw/base.c b/hardware/fw/base.c similarity index 100% rename from gm_platform/fw/base.c rename to hardware/fw/base.c diff --git a/gm_platform/fw/cmsis_exports.c b/hardware/fw/cmsis_exports.c similarity index 100% rename from gm_platform/fw/cmsis_exports.c rename to hardware/fw/cmsis_exports.c diff --git a/gm_platform/fw/cobs.c b/hardware/fw/cobs.c similarity index 100% rename from gm_platform/fw/cobs.c rename to hardware/fw/cobs.c diff --git a/gm_platform/fw/cobs.h b/hardware/fw/cobs.h similarity index 100% rename from gm_platform/fw/cobs.h rename to hardware/fw/cobs.h diff --git a/gm_platform/fw/crctest.py b/hardware/fw/crctest.py similarity index 100% rename from gm_platform/fw/crctest.py rename to hardware/fw/crctest.py diff --git a/gm_platform/fw/global.h b/hardware/fw/global.h similarity index 100% rename from gm_platform/fw/global.h rename to hardware/fw/global.h diff --git a/gm_platform/fw/grid_scope.ipynb b/hardware/fw/grid_scope.ipynb similarity index 100% rename from gm_platform/fw/grid_scope.ipynb rename to hardware/fw/grid_scope.ipynb diff --git a/gm_platform/fw/main.c b/hardware/fw/main.c similarity index 100% rename from gm_platform/fw/main.c rename to hardware/fw/main.c diff --git a/gm_platform/fw/main.c.bak b/hardware/fw/main.c.bak similarity index 100% rename from gm_platform/fw/main.c.bak rename to hardware/fw/main.c.bak diff --git a/gm_platform/fw/openocd.cfg b/hardware/fw/openocd.cfg similarity index 100% rename from gm_platform/fw/openocd.cfg rename to hardware/fw/openocd.cfg diff --git a/gm_platform/fw/packet_interface.c b/hardware/fw/packet_interface.c similarity index 100% rename from gm_platform/fw/packet_interface.c rename to hardware/fw/packet_interface.c diff --git a/gm_platform/fw/packet_interface.h b/hardware/fw/packet_interface.h similarity index 100% rename from gm_platform/fw/packet_interface.h rename to hardware/fw/packet_interface.h diff --git a/gm_platform/fw/reader.py b/hardware/fw/reader.py similarity index 100% rename from gm_platform/fw/reader.py rename to hardware/fw/reader.py diff --git a/gm_platform/fw/scope.gdb b/hardware/fw/scope.gdb similarity index 100% rename from gm_platform/fw/scope.gdb rename to hardware/fw/scope.gdb diff --git a/gm_platform/fw/serial.c b/hardware/fw/serial.c similarity index 100% rename from gm_platform/fw/serial.c rename to hardware/fw/serial.c diff --git a/gm_platform/fw/serial.h b/hardware/fw/serial.h similarity index 100% rename from gm_platform/fw/serial.h rename to hardware/fw/serial.h diff --git a/gm_platform/fw/startup_stm32f030x6.s b/hardware/fw/startup_stm32f030x6.s similarity index 100% rename from gm_platform/fw/startup_stm32f030x6.s rename to hardware/fw/startup_stm32f030x6.s diff --git a/gm_platform/fw/stm32_flash.ld b/hardware/fw/stm32_flash.ld similarity index 100% rename from gm_platform/fw/stm32_flash.ld rename to hardware/fw/stm32_flash.ld diff --git a/gm_platform/fw/system_stm32f0xx.c b/hardware/fw/system_stm32f0xx.c similarity index 100% rename from gm_platform/fw/system_stm32f0xx.c rename to hardware/fw/system_stm32f0xx.c diff --git a/gm_platform/fw/test.py b/hardware/fw/test.py similarity index 100% rename from gm_platform/fw/test.py rename to hardware/fw/test.py diff --git a/gm_platform/fw/tools/gen_cmsis_exports.py b/hardware/fw/tools/gen_cmsis_exports.py similarity index 100% rename from gm_platform/fw/tools/gen_cmsis_exports.py rename to hardware/fw/tools/gen_cmsis_exports.py diff --git a/gm_platform/fw/tw_test.c b/hardware/fw/tw_test.c similarity index 100% rename from gm_platform/fw/tw_test.c rename to hardware/fw/tw_test.c diff --git a/gm_platform/fw/tw_test.py b/hardware/fw/tw_test.py similarity index 97% rename from gm_platform/fw/tw_test.py rename to hardware/fw/tw_test.py index e329abd..54e917a 100644 --- a/gm_platform/fw/tw_test.py +++ b/hardware/fw/tw_test.py @@ -85,7 +85,7 @@ if __name__ == '__main__': continue crc32, payload = unpack_head('I', cobs.decode(data)) - pid, seq, data = unpack_head('xBH', payload) + pid, seq, gps_1pps, data = unpack_head('BxHI', payload) ts = time() # Calculate byte-wise CRC32 @@ -126,7 +126,7 @@ if __name__ == '__main__': print() lines_written += 1 - if lines_written == 80: + if lines_written == 50: lines_written = 0 print('\033[2J\033[H', end='') delta = ts-capture_start diff --git a/gm_platform/platform/board_shape.dxf b/hardware/grid-recorder/board_shape.dxf similarity index 100% rename from gm_platform/platform/board_shape.dxf rename to hardware/grid-recorder/board_shape.dxf diff --git a/gm_platform/platform/board_shape.slvs b/hardware/grid-recorder/board_shape.slvs similarity index 100% rename from gm_platform/platform/board_shape.slvs rename to hardware/grid-recorder/board_shape.slvs diff --git a/gm_platform/platform/bottom_overlay.png b/hardware/grid-recorder/bottom_overlay.png similarity index 100% rename from gm_platform/platform/bottom_overlay.png rename to hardware/grid-recorder/bottom_overlay.png diff --git a/gm_platform/platform/case_label.pdf b/hardware/grid-recorder/case_label.pdf similarity index 100% rename from gm_platform/platform/case_label.pdf rename to hardware/grid-recorder/case_label.pdf diff --git a/gm_platform/platform/case_label.svg b/hardware/grid-recorder/case_label.svg similarity index 100% rename from gm_platform/platform/case_label.svg rename to hardware/grid-recorder/case_label.svg diff --git a/gm_platform/platform/case_label_print.pdf b/hardware/grid-recorder/case_label_print.pdf similarity index 100% rename from gm_platform/platform/case_label_print.pdf rename to hardware/grid-recorder/case_label_print.pdf diff --git a/gm_platform/platform/case_label_print.svg b/hardware/grid-recorder/case_label_print.svg similarity index 100% rename from gm_platform/platform/case_label_print.svg rename to hardware/grid-recorder/case_label_print.svg diff --git a/gm_platform/platform/case_side_iec_socket_helper.pdf b/hardware/grid-recorder/case_side_iec_socket_helper.pdf similarity index 100% rename from gm_platform/platform/case_side_iec_socket_helper.pdf rename to hardware/grid-recorder/case_side_iec_socket_helper.pdf diff --git a/gm_platform/platform/case_side_iec_socket_helper.svg b/hardware/grid-recorder/case_side_iec_socket_helper.svg similarity index 100% rename from gm_platform/platform/case_side_iec_socket_helper.svg rename to hardware/grid-recorder/case_side_iec_socket_helper.svg diff --git a/gm_platform/platform/case_side_usb_socket_helper.pdf b/hardware/grid-recorder/case_side_usb_socket_helper.pdf similarity index 100% rename from gm_platform/platform/case_side_usb_socket_helper.pdf rename to hardware/grid-recorder/case_side_usb_socket_helper.pdf diff --git a/gm_platform/platform/case_side_usb_socket_helper.svg b/hardware/grid-recorder/case_side_usb_socket_helper.svg similarity index 100% rename from gm_platform/platform/case_side_usb_socket_helper.svg rename to hardware/grid-recorder/case_side_usb_socket_helper.svg diff --git a/gm_platform/platform/components.dcm b/hardware/grid-recorder/components.dcm similarity index 100% rename from gm_platform/platform/components.dcm rename to hardware/grid-recorder/components.dcm diff --git a/gm_platform/platform/components.lib b/hardware/grid-recorder/components.lib similarity index 100% rename from gm_platform/platform/components.lib rename to hardware/grid-recorder/components.lib diff --git a/gm_platform/platform/converter_clip.scad b/hardware/grid-recorder/converter_clip.scad similarity index 100% rename from gm_platform/platform/converter_clip.scad rename to hardware/grid-recorder/converter_clip.scad diff --git a/gm_platform/platform/converter_clip.stl b/hardware/grid-recorder/converter_clip.stl similarity index 100% rename from gm_platform/platform/converter_clip.stl rename to hardware/grid-recorder/converter_clip.stl diff --git a/gm_platform/platform/fp-info-cache b/hardware/grid-recorder/fp-info-cache similarity index 100% rename from gm_platform/platform/fp-info-cache rename to hardware/grid-recorder/fp-info-cache diff --git a/gm_platform/platform/fp-lib-table b/hardware/grid-recorder/fp-lib-table similarity index 100% rename from gm_platform/platform/fp-lib-table rename to hardware/grid-recorder/fp-lib-table diff --git a/gm_platform/platform/gerber_grid_meas_platform_v01.zip b/hardware/grid-recorder/gerber_grid_meas_platform_v01.zip similarity index 100% rename from gm_platform/platform/gerber_grid_meas_platform_v01.zip rename to hardware/grid-recorder/gerber_grid_meas_platform_v01.zip diff --git a/gm_platform/platform/hiig_logo_binary.png b/hardware/grid-recorder/hiig_logo_binary.png similarity index 100% rename from gm_platform/platform/hiig_logo_binary.png rename to hardware/grid-recorder/hiig_logo_binary.png diff --git a/gm_platform/platform/lid_switch_plunger.scad b/hardware/grid-recorder/lid_switch_plunger.scad similarity index 100% rename from gm_platform/platform/lid_switch_plunger.scad rename to hardware/grid-recorder/lid_switch_plunger.scad diff --git a/gm_platform/platform/lid_switch_plunger.stl b/hardware/grid-recorder/lid_switch_plunger.stl similarity index 100% rename from gm_platform/platform/lid_switch_plunger.stl rename to hardware/grid-recorder/lid_switch_plunger.stl diff --git a/gm_platform/platform/lid_switch_plunger_flex.scad b/hardware/grid-recorder/lid_switch_plunger_flex.scad similarity index 100% rename from gm_platform/platform/lid_switch_plunger_flex.scad rename to hardware/grid-recorder/lid_switch_plunger_flex.scad diff --git a/gm_platform/platform/lid_switch_plunger_flex.stl b/hardware/grid-recorder/lid_switch_plunger_flex.stl similarity index 100% rename from gm_platform/platform/lid_switch_plunger_flex.stl rename to hardware/grid-recorder/lid_switch_plunger_flex.stl diff --git a/gm_platform/platform/line_meas_divider.asc b/hardware/grid-recorder/line_meas_divider.asc similarity index 100% rename from gm_platform/platform/line_meas_divider.asc rename to hardware/grid-recorder/line_meas_divider.asc diff --git a/gm_platform/platform/line_pol_det.asc b/hardware/grid-recorder/line_pol_det.asc similarity index 100% rename from gm_platform/platform/line_pol_det.asc rename to hardware/grid-recorder/line_pol_det.asc diff --git a/gm_platform/platform/platform-cache.lib b/hardware/grid-recorder/platform-cache.lib similarity index 100% rename from gm_platform/platform/platform-cache.lib rename to hardware/grid-recorder/platform-cache.lib diff --git a/gm_platform/platform/platform.csv b/hardware/grid-recorder/platform.csv similarity index 100% rename from gm_platform/platform/platform.csv rename to hardware/grid-recorder/platform.csv diff --git a/gm_platform/platform/platform.kicad_pcb b/hardware/grid-recorder/platform.kicad_pcb similarity index 100% rename from gm_platform/platform/platform.kicad_pcb rename to hardware/grid-recorder/platform.kicad_pcb diff --git a/gm_platform/platform/platform.pretty/Panasonic_AV32143AT.kicad_mod b/hardware/grid-recorder/platform.pretty/Panasonic_AV32143AT.kicad_mod similarity index 100% rename from gm_platform/platform/platform.pretty/Panasonic_AV32143AT.kicad_mod rename to hardware/grid-recorder/platform.pretty/Panasonic_AV32143AT.kicad_mod diff --git a/gm_platform/platform/platform.pro b/hardware/grid-recorder/platform.pro similarity index 100% rename from gm_platform/platform/platform.pro rename to hardware/grid-recorder/platform.pro diff --git a/gm_platform/platform/platform.sch b/hardware/grid-recorder/platform.sch similarity index 100% rename from gm_platform/platform/platform.sch rename to hardware/grid-recorder/platform.sch diff --git a/gm_platform/platform/platform.xml b/hardware/grid-recorder/platform.xml similarity index 100% rename from gm_platform/platform/platform.xml rename to hardware/grid-recorder/platform.xml diff --git a/gm_platform/platform/sym-lib-table b/hardware/grid-recorder/sym-lib-table similarity index 51% rename from gm_platform/platform/sym-lib-table rename to hardware/grid-recorder/sym-lib-table index 3b4af0a..ec0223d 100644 --- a/gm_platform/platform/sym-lib-table +++ b/hardware/grid-recorder/sym-lib-table @@ -1,3 +1,4 @@ (sym_lib_table (lib (name "components")(type "Legacy")(uri "${KIPRJMOD}/components.lib")(options "")(descr "")) + (lib (name "platform-rescue")(type "Legacy")(uri "${KIPRJMOD}/platform-rescue.lib")(options "")(descr "")) ) diff --git a/gm_platform/platform/top_overlay.png b/hardware/grid-recorder/top_overlay.png similarity index 100% rename from gm_platform/platform/top_overlay.png rename to hardware/grid-recorder/top_overlay.png diff --git a/gm_platform/platform/zip_tie_anchor.scad b/hardware/grid-recorder/zip_tie_anchor.scad similarity index 100% rename from gm_platform/platform/zip_tie_anchor.scad rename to hardware/grid-recorder/zip_tie_anchor.scad diff --git a/gm_platform/platform/zip_tie_anchor.stl b/hardware/grid-recorder/zip_tie_anchor.stl similarity index 100% rename from gm_platform/platform/zip_tie_anchor.stl rename to hardware/grid-recorder/zip_tie_anchor.stl diff --git a/lab-windows/fig_out/freq_meas_feedback.pdf b/lab-windows/fig_out/freq_meas_feedback.pdf deleted file mode 100644 index db55101..0000000 Binary files a/lab-windows/fig_out/freq_meas_feedback.pdf and /dev/null differ diff --git a/lab-windows/fig_out/freq_meas_rocof_reference.pdf b/lab-windows/fig_out/freq_meas_rocof_reference.pdf deleted file mode 100644 index c4764e9..0000000 Binary files a/lab-windows/fig_out/freq_meas_rocof_reference.pdf and /dev/null differ diff --git a/lab-windows/fig_out/freq_meas_spectrum.pdf b/lab-windows/fig_out/freq_meas_spectrum.pdf deleted file mode 100644 index 2c3c53b..0000000 Binary files a/lab-windows/fig_out/freq_meas_spectrum.pdf and /dev/null differ diff --git a/lab-windows/fig_out/freq_meas_trace_24h.pdf b/lab-windows/fig_out/freq_meas_trace_24h.pdf deleted file mode 100644 index e287690..0000000 Binary files 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and /dev/null differ diff --git a/lab-windows/grid_freq_estimation.ipynb b/lab-windows/grid_freq_estimation.ipynb deleted file mode 100644 index 16813c3..0000000 --- a/lab-windows/grid_freq_estimation.ipynb +++ /dev/null @@ -1,1038 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Setup\n", - "## Import required packages" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import math\n", - "import sqlite3\n", - "import struct\n", - "import datetime\n", - "import json\n", - "\n", - "import scipy.fftpack\n", - "from scipy import signal as sig\n", - "import matplotlib\n", - "from matplotlib import pyplot as plt\n", - "from matplotlib import patches\n", - "from matplotlib import dates\n", - "import numpy as np\n", - "from scipy import signal, optimize, interpolate\n", - "from tqdm.notebook import tnrange, tqdm\n", - "from IPython.display import set_matplotlib_formats" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "set_matplotlib_formats('png', 'pdf')\n", - "font = {'family' : 'normal',\n", - " 'weight' : 'normal',\n", - " 'size' : 10}\n", - "matplotlib.rc('font', **font)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load data series information from sqlite capture file\n", - "\n", - "One capture file may contain multiple runs/data series. Display a list of runs and their start/end time and sample count, then select the newest one in `last_run` variable." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "db = sqlite3.connect('data/waveform-raspi-ocxo-2day.sqlite3')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Run 000: 2020-04-01 14:00:25 - 2020-04-01 15:09:31 ( 1:09:05.846, 4197664sp)\n", - "Run 001: 2020-04-02 11:56:41 - 2020-04-02 11:57:59 ( 0:01:18.544, 79552sp)\n", - "Run 002: 2020-04-02 12:03:51 - 2020-04-03 14:12:18 (1 day, 2:08:27.618, 95262592sp)\n", - "Run 003: 2020-04-03 14:12:48 - 2020-04-06 10:33:25 (2 days, 20:20:36.644, 249113600sp)\n" - ] - } - ], - "source": [ - "for run_id, start, end, count in db.execute('SELECT run_id, MIN(rx_ts), MAX(rx_ts), COUNT(*) FROM measurements GROUP BY run_id'):\n", - " foo = lambda x: datetime.datetime.fromtimestamp(x/1000)\n", - " start, end = foo(start), foo(end)\n", - " time_window = f'{start:%Y-%m-%d %H:%M:%S} - {end:%Y-%m-%d %H:%M:%S}'\n", - " print(f'Run {run_id:03d}: {time_window} ({str(end-start)[:-3]:>13}, {count*32:>9d}sp)')\n", - "last_run, n_records = run_id, count" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup analog parameters\n", - "\n", - "Setup parameters of analog capture hardware here. This is used to scale samples from ADC counts to analog voltages. Also setup sampling rate here. Nominal sampling rate is 1 ksps." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "sampling_rate = 1000.0 * 48.6 / 48\n", - "\n", - "par = lambda *rs: 1/sum(1/r for r in rs) # resistor parallel calculation\n", - "\n", - "# Note: These are for the first prototype only!\n", - "vmeas_source_impedance = 330e3\n", - "vmeas_source_scale = 0.5\n", - "\n", - "vcc = 15.0\n", - "vmeas_div_high = 27e3\n", - "vmeas_div_low = par(4.7e3, 10e3)\n", - "vmeas_div_voltage = vcc * vmeas_div_low / (vmeas_div_high + vmeas_div_low)\n", - "vmeas_div_impedance = par(vmeas_div_high, vmeas_div_low)\n", - "\n", - "#vmeas_overall_factor = vmeas_div_impedance / (vmeas_source_impedance + vmeas_div_impedance)\n", - "v0 = 1.5746\n", - "v100 = 2.004\n", - "vn100 = 1.1452\n", - "\n", - "adc_vcc = 3.3 # V\n", - "adc_fullscale = 4095\n", - "\n", - "adc_val_to_voltage_factor = 1/adc_fullscale * adc_vcc\n", - "\n", - "adc_count_to_vmeas = lambda x: (x*adc_val_to_voltage_factor - v0) / (v100-v0) * 100" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load run data from sqlite3 capture file\n", - "\n", - "Load measurement data for the selected run and assemble a numpy array containing one continuous trace. " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f13fce5ba36246e4993de82aece2525b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=7784800.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RMS voltage: 227.28577854695376\n" - ] - } - ], - "source": [ - "limit = n_records\n", - "record_size = 32\n", - "skip_dropped_sections = False\n", - "\n", - "data = np.zeros(limit*record_size)\n", - "data[:] = np.nan\n", - "\n", - "last_seq = None\n", - "write_index = 0\n", - "for i, (seq, chunk) in tqdm(enumerate(db.execute(\n", - " 'SELECT seq, data FROM measurements WHERE run_id = ? ORDER BY rx_ts LIMIT ? OFFSET ?',\n", - " (last_run, limit, n_records-limit))), total=n_records):\n", - " \n", - " if last_seq is None or seq == (last_seq + 1)%0x10000:\n", - " last_seq = seq\n", - " idx = write_index if skip_dropped_sections else i\n", - " data[idx*record_size:(idx+1)*record_size] = np.frombuffer(chunk, dtype=' last_seq:\n", - " last_seq = seq\n", - " # nans = np.empty((record_size,))\n", - " # nans[:] = np.nan\n", - " # data = np.append(data, nans) FIXME\n", - " \n", - "data = (data * adc_val_to_voltage_factor - v0) / (v100-v0) * 100\n", - "\n", - "# https://stackoverflow.com/questions/6518811/interpolate-nan-values-in-a-numpy-array\n", - "nan_helper = lambda y: (np.isnan(y), lambda z: z.nonzero()[0])\n", - "\n", - "# data rarely may contain NaNs where the capture script failed to read and acknowledge capture buffers from the sensor board fast enough.\n", - "# For RMS calculation and overall FFT fill these NaNs with interpolated values from their neighbors.\n", - "data_interp = np.copy(data)\n", - "nans, x = nan_helper(data)\n", - "data_interp[nans]= np.interp(x(nans), x(~nans), data[~nans])\n", - "\n", - "print('RMS voltage:', np.sqrt(np.mean(np.square(data_interp))))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of skipped sample packets: 16\n", - "Consecutive skipped packets: 1 pkt: 10 2 pkt: 3\n" - ] - } - ], - "source": [ - "import itertools\n", - "skip_groups = [ len(list(group))//32 for val, group in itertools.groupby(nans) if val ]\n", - "print('Number of skipped sample packets:', sum(skip_groups))\n", - "print('Consecutive skipped packets:', ' '.join(f'{val} pkt: {len(list(group))}' for val, group in itertools.groupby(sorted(skip_groups))))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Show a preview of loaded data" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n", - "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n", - "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n" - ] - }, - { - "data": { - "application/pdf": 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8VMrN4CSEoCE0eceZiKI4xbW6H1frtEhdxKWwkWyGxtUkpWJR/1UuHIdtKAS14Xs3JkVeopXVuAQAp6w6OiA1GcfViCQgVD+3BbjNqmNwuxYsFRvGDkfsd9gHNVDJ8GpU2n3KY/V6S4AgToNLG4W4pXmC8dW6livNSfa9j/tGxS/0341MO/JmniBB+RVJOz4K8JkSNdp4kVH3ZeZSzBjLNC6YwYxqpNqJijlQ2GQJyn5WrV4ZpK4WZtvynH3j4IIcvKwoBOFGjOiVCFg3RWNTCA5gbBw9RFbqrgQlg1esZT760nPPiruTfgzverLYHyIsVzOsmy4OUcM6qy4KkAHWpQzYICGqqi4h1q9W6HSMqz1K7SuLpSIlHqdBEEmvGGc2TaRHIy1Km9mUKsFcm4vzk4FU1E6l/u3GpnicYnU7/1l16EohNSMwoLZbOJ/Aj/Kl6s73OEqgBNOXJOIETVKIufKYRl3Tklud6TTp6BLpuusLJNU3CHTeNVm4VKyC05y7u0lrZlNqBolr8LojRWH9DLRy/1zBJH5Mw0lkwiQbnTYi2Wg2iSvJSvOlm950MqiiCqupLwsnmEHzu75sauqbss6dYaBgXvHxVAnGp8S4+QsqPJaDzepGp0RFNTOVVBXmHsyBKnxHpFn29R5niw8twXzscJ/nPamHF5zfQdzV7AxqgqlIAuvj0XZtPHo9hOFHPGQfLNXV1SQdtXY1fxAzzY8sYSizktgcBWRqvMAI58Bv7CIqcz4NC9/mJiuHp4q27yp89InVE0V5P67maFOJbIU8rDWG1QPFsqjHCu8Vol6bynqSz9KKGizwlZ7O2nMyKJ+jceY/YedupZPGiQqKqrhrsJDf0oVQd9lPiJGqqPFO/6E86/ip6iUfPOFUx/U65tz0qEYPc0rMFseU66yTFamRktVrKQY+sco6WzQHqj7jKPcynN9qk1xMcQa5ssxejgb0ghpW3aH/ZZf9Gc5HIZqqXj2xI0uMdHJUD1QdEyNTWNKPM4+We85e5WnGY87WA+dXol4WNMsipPEchNTBUqrNY3B2rOSAOdqDz360oOdOCgTIOkvxu/TPejLEuVjZqx/ZmM2f1ARFkjjGpvZvbaagWR6KQNXDmiwcnB5lvLT34Gr3Tr6mDP83jjdJfk3nN1ya5YJx53EnTZAGEUOS7LKfytYe0LoyVWRZTyk7e6zGpZStecQmB13wLC0alzqPkRkvTeu1vppkQSWsnTMf86gJKs4yZQIlH8c8TY+1yq6Rwn9ZZR/vxm1Ds6g32nsxJsWkxnGEeA1SV89zVI5Xe/5n46xGVmlQqRrORhe52AMX9ddUIICjokvjTZqvh3ii0qpuqM1f1QJVZMxUSvwT7ll92BlMPWpVVyJN3a0sy49tVqIE4GaX5iKy3avDkTOrIcB4NTS8mnPEloz8r/Yidi3BGBZbPRrEZKYOIvZ9/uPnPVwad8V/bmqAhlLa/HQRm4sDxV1zKHr+ADbHx/ZqaGat3qvsqXpKomEQwcbKgRZ5MudNxnJXP5O0KoNLmX/QHdzh9H5XmJ0pRYMeKMS9A81d/U+cz55luwiaAGu7Q5QABMW40Sk2r1v/FvUhPYJ5UxDpOtDxfgGkEkKL4xU/bEC09XA4q8rbOj8aKQQYC/b754UF+++VfbsGK+qmZ5ax7hqsZNoqa6dHNVkJh/se16sFqlagsSzqGI2+ilevs8maxMFMw0WQSSy/e1lWJWXQmx3L+KYBDJoq3yqCxqzHB8aPb8rc9GbJmqfPOdzB3X115PzKGhTbjXqnF+HOo/t3dnST8b6Oe+dLjNN7xXe+2mC+e776eHX/Vx9c/L5fjVwuvUzw7lmffBbHK0h/OL6G9Nv5xaODwne8PGTspfd/9GVGFGW58abeefzlNI5Uk0TFhOkyy3b0L3pf6YilP77/tP3yRh/KTG8lwZmnxdTzS/t6C+nVi2evP10+kac7f9Nw3tUP9lnP/pUq8xKl23TmEtsJJWctt3n45XYYVfHjNcWX0yzb8Q/emyzMaaIS7enF2Nu3f/r63775dNGzJbL0vXenR1HjXVTpUb1nd5fhaXeqgI6fGW3muIx++M70lsRpKZD2Zmf//l+fmt5Ale+7MesL2xcJ5jXaAPyVNf28V+xtx19O43qkPDaxneUy+t5bC6ePRzj9evw8QpTVz3v7+tfXSzztyR2//HIbaIK9m6eKfaQLUpIvyPz08pdnP7xYfnv2txff//Tzqws4/rS2/adq+y/LYr0n7+s57c9j9gB7/q5sO2TflW3Y9zzFA+S7e6VPSzvM7Kjpmr0Drd/eT/381fLkX/3yxU/LVx9661u+aZMdVd5uIbsMbsH4oE/aHp4WZ//QlyUe/WabvmGWVWSF07cl/r6XWT8SMjIRTi+Mpu0eNqO3YnN14ivo6Dl4lUfuWNa4QSc8Ijp6BKMHuWoJXTaxGb0VnasTX0FHD5C6ajl1CzfgxEcEJwW9ijbqicseNqO3gnN14ivgpKAgay2VYG/RntFJj4gONYDcea0TTW9Gb0Xn6sRX0FE/Bk1SQaQmyAWdfP9r4npY2o6fluq1r/F2ONf/snz39r7Xwj8WoO+leTe9cX9B8fS+/WW+hz9hkYkzS/Wur1c+LhiYoEi9PH+ecRm8CY7tnEc8phkf/PxAnRC93tmbmtXv/m7l48JCqe31IGKLynnsJlA2Mx4x2c73ICTqE9SSndioPPC1yseFRK8xQ4lq1WxA2YzeBMs06xGYec4HodG72L7riyh96rT/WOXxsNHTexf1JcEWm8vobdhsZz1hM835MDb6IMoVrzfGezzK1/8DNt2vxVf1a7bYXEZvw2Y76wmbac6HsWl6QVEtS6eG1xCvKx856fOB8cvOXfoKl4+cfr989y//e5Yza/vc2cU1Qbqnttp2f+6Trt217y1yd2717jkvPZ99ybavVPVy/vHjVr3DfLdW/f7nF29+ffH6+f8sb//7xfNffv71XLV+dfg7Xdw3hAplbmRzdHJlYW0KZW5kb2JqCjExIDAgb2JqCjU1MzkKZW5kb2JqCjE3IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjI2ID4+CnN0cmVhbQp4nD1QuRHDMAzrNQVH4E9pHudSOfu3AelcChqw+AGsYmI6ik8FQg+9ZFkcck76LDt7mCtCjNwRuulanow/JU/UZg4G82TADHWoiKjpiZLOYErsoJ4ax6j3NF5LNw+7h/XG+6/iedNqPc0YL6N4oCWjts6PecWwcKAopjLlbl1pTumbEpri1IPjpZmjJtHjDlT44oNMQKkV1GarDQopMm8vAVdmeIF3U4EvIHcmobl1phapn9mpXMj0iVt2/NBTSLY0wzTFbFdHj45vjUSPbXTjogYFfQOzB6//Ve71/gJ22lX8CmVuZHN0cmVhbQplbmRvYmoKMTggMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAxODYgPj4Kc3RyZWFtCnicRZA5FgMxCEN7n0JHwCC8nGfyUiX3byOTrbC/HvJogNkdhkVdI4gchltvR0YEnqUMj8ZcPyY/wjM/KszBnPqIYiLScckJxDSQG7FCVOwuJyZoqvgC1QL70FnHMSX4eWflxhzFq0Xsd6XL6YTrRawhx4fyqx+x7+KpyZE6bS9+kZwSp/5XHKVWgvskONIdQVF96s9TShPRsjZE9uLV0t47O25SVEbamXB0TTiitkqb+K70avcX3JFF9gplbmRzdHJlYW0KZW5kb2JqCjE5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTcgPj4Kc3RyZWFtCnicMzaxUDCAwxRDLgAaxALvCmVuZHN0cmVhbQplbmRvYmoKMjAgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAzNDggPj4Kc3RyZWFtCnicNZJLkmwhCETnroINVIR81fVUR4/q7X/6Dt7qgUEKAklinZIpteSlLqUlK0x+dESV+HH5N1JTfE/JNPHckmuL25L3qOliJ2+a5dfOGwGpp+Te0qnuEo4/1hKqnaedHb32PSz98ZD30ilKj1cQ0OAiSiO9LM26+hLlfIZOE41DKzxOy8X9UrPJTbdY52uIrbj2Pdwe5NVvGQmK3QVyeDWXhOHZdq3dnIuCyK3UOTDZp6vVFKeXGxahDF5tYX7sos9FAbvPsKVf5HBr5AweSOOrJBCXiudI0COUt4jbNq0uP1DCnBe5kLHFREJyWvzLoncIR9jXZW75IDPFosVBxtmSa1KF5Suz5S45vdkOABad4M0CF3mt6rLDaon4rRoBwsNu+7/49980x8cTW8kpmG+p03o046qg54HJujbzRhqpwQKFe6Zi6uyNJMoEMyVVY4b8fcr3+P0Pxa6BvgplbmRzdHJlYW0KZW5kb2JqCjIxIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjAyID4+CnN0cmVhbQp4nE1RMY4EIQzr5xX+wEokBELes6ur7v7fng0z0lY2MTFOSHM05MLLOqYvjEh87GLFWfkTUen38hFfLMofNh0+OsLHxr4a3tdm/a60g152K04f9bpJmbCaW1mwnHA6mlwnz7xFJQcsWFkB63JijyeV3pLM0L3BbPHNuZFK+mbRjD3OfHJVtqCTLSpKQpeNKTexM+OzisMaUdqDWSJqTfQqOIechdKzvfAaUC6t1JlCyBnaWbIynPSh0SqwXB9gbLy3/r5+/gHgp0wsCmVuZHN0cmVhbQplbmRvYmoKMTUgMCBvYmoKPDwgL0Jhc2VGb250IC9EZWphVnVTYW5zLUJvbGQgL0NoYXJQcm9jcyAxNiAwIFIKL0VuY29kaW5nIDw8IC9EaWZmZXJlbmNlcyBbIDMyIC9zcGFjZSA1MSAvdGhyZWUgODIgL1IgMTEwIC9uIDExNyAvdSBdCi9UeXBlIC9FbmNvZGluZyA+PgovRmlyc3RDaGFyIDAgL0ZvbnRCQm94IFsgLTEwNzAgLTQxNiAxOTc2IDExNzUgXSAvRm9udERlc2NyaXB0b3IgMTQgMCBSCi9Gb250TWF0cml4IFsgMC4wMDEgMCAwIDAuMDAxIDAgMCBdIC9MYXN0Q2hhciAyNTUgL05hbWUgL0RlamFWdVNhbnMtQm9sZAovU3VidHlwZSAvVHlwZTMgL1R5cGUgL0ZvbnQgL1dpZHRocyAxMyAwIFIgPj4KZW5kb2JqCjE0IDAgb2JqCjw8IC9Bc2NlbnQgOTI5IC9DYXBIZWlnaHQgMCAvRGVzY2VudCAtMjM2IC9GbGFncyAzMgovRm9udEJCb3ggWyAtMTA3MCAtNDE2IDE5NzYgMTE3NSBdIC9Gb250TmFtZSAvRGVqYVZ1U2Fucy1Cb2xkCi9JdGFsaWNBbmdsZSAwIC9NYXhXaWR0aCAxNDQwIC9TdGVtViAwIC9UeXBlIC9Gb250RGVzY3JpcHRvciAvWEhlaWdodCAwID4+CmVuZG9iagoxMyAwIG9iagpbIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwCjYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgMzQ4IDQ1NiA1MjEgODM4IDY5NgoxMDAyIDg3MiAzMDYgNDU3IDQ1NyA1MjMgODM4IDM4MCA0MTUgMzgwIDM2NSA2OTYgNjk2IDY5NiA2OTYgNjk2IDY5NiA2OTYKNjk2IDY5NiA2OTYgNDAwIDQwMCA4MzggODM4IDgzOCA1ODAgMTAwMCA3NzQgNzYyIDczNCA4MzAgNjgzIDY4MyA4MjEgODM3CjM3MiAzNzIgNzc1IDYzNyA5OTUgODM3IDg1MCA3MzMgODUwIDc3MCA3MjAgNjgyIDgxMiA3NzQgMTEwMyA3NzEgNzI0IDcyNQo0NTcgMzY1IDQ1NyA4MzggNTAwIDUwMCA2NzUgNzE2IDU5MyA3MTYgNjc4IDQzNSA3MTYgNzEyIDM0MyAzNDMgNjY1IDM0MwoxMDQyIDcxMiA2ODcgNzE2IDcxNiA0OTMgNTk1IDQ3OCA3MTIgNjUyIDkyNCA2NDUgNjUyIDU4MiA3MTIgMzY1IDcxMiA4MzgKNjAwIDY5NiA2MDAgMzgwIDQzNSA2NTcgMTAwMCA1MDAgNTAwIDUwMCAxNDQwIDcyMCA0MTIgMTE2NyA2MDAgNzI1IDYwMCA2MDAKMzgwIDM4MCA2NTcgNjU3IDYzOSA1MDAgMTAwMCA1MDAgMTAwMCA1OTUgNDEyIDEwOTQgNjAwIDU4MiA3MjQgMzQ4IDQ1NiA2OTYKNjk2IDYzNiA2OTYgMzY1IDUwMCA1MDAgMTAwMCA1NjQgNjQ2IDgzOCA0MTUgMTAwMCA1MDAgNTAwIDgzOCA0MzggNDM4IDUwMAo3MzYgNjM2IDM4MCA1MDAgNDM4IDU2NCA2NDYgMTAzNSAxMDM1IDEwMzUgNTgwIDc3NCA3NzQgNzc0IDc3NCA3NzQgNzc0IDEwODUKNzM0IDY4MyA2ODMgNjgzIDY4MyAzNzIgMzcyIDM3MiAzNzIgODM4IDgzNyA4NTAgODUwIDg1MCA4NTAgODUwIDgzOCA4NTAgODEyCjgxMiA4MTIgODEyIDcyNCA3MzggNzE5IDY3NSA2NzUgNjc1IDY3NSA2NzUgNjc1IDEwNDggNTkzIDY3OCA2NzggNjc4IDY3OAozNDMgMzQzIDM0MyAzNDMgNjg3IDcxMiA2ODcgNjg3IDY4NyA2ODcgNjg3IDgzOCA2ODcgNzEyIDcxMiA3MTIgNzEyIDY1MiA3MTYKNjUyIF0KZW5kb2JqCjE2IDAgb2JqCjw8IC9SIDE3IDAgUiAvbiAxOCAwIFIgL3NwYWNlIDE5IDAgUiAvdGhyZWUgMjAgMCBSIC91IDIxIDAgUiA+PgplbmRvYmoKMjYgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA3NCA+PgpzdHJlYW0KeJwzNTdVMFCwtAASpobmCuZGlgophlxAPoiVywUTywGzzEzMgCxDS2SWibEhkGViYYbEMjaxgMoiWAZAGmxNDsz0HK40AANxGJMKZW5kc3RyZWFtCmVuZG9iagoyNyAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDc3ID4+CnN0cmVhbQp4nDM3NVIwULC0ABJmpiYK5kaWCimGXEA+iJXLZWhpDmblgFkmxgZAlqmpKRILIgvTC2HB5GC0sYk51AQECyQHtjYHZlsOVxoAnuAbmgplbmRzdHJlYW0KZW5kb2JqCjI4IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggODcgPj4Kc3RyZWFtCnicPY67EcAwCEN7pmAE8wmGfXKpnP3bgD9p0EM6TrgJNgzP0e3CzoE3Qe5FL7Aub4AKIYskGfn2zsWiVpnFr6ZF6oQ0SZw3UehOi0rnA+P0Dng+unUdegplbmRzdHJlYW0KZW5kb2JqCjI5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTY1ID4+CnN0cmVhbQp4nEWPOxIDIQxDe06hI4B/wHk2k4q9fxvLO0kaLIwlP6IrOvbKw2NjysZrtLEnwhbuUjoNp6mMr4qnZ12gy2EyU29czVxgqrDIbk6x+hh8ofLs5oSvVZ4YwpdMCQ0wlTu5h/X6UZyWfCS7C4LqlI3KwjBH0vdATE2bp4WB/I8veWpBUJnmjWuWlUdrFVM0Z5gqWwuC9YGgOqX6A9P/TKe9P9z0PYAKZW5kc3RyZWFtCmVuZG9iagozMCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDIyNyA+PgpzdHJlYW0KeJxFkEuOAyEQQ/ecwkeg/nCejrLq3H87LjrRbLAlKNczuQMTe/HITJRuvGS4O8wVn+EZMHP4SphsxEzoTlwjlK4U4VSfCI7L3rzpoIl7RM6jngVZ1c4NagFnkuaC7YIu54wVN87JrUblzfSj1xC+aXcf13mH9kjj3sNUvs451c67ighpC1nVtL6QbBTJDms/Kk3bzssQseBsGlboHN4Iu1d3J0sYfr/yMCUTPw/d+lF8XTej6xRnJ1cma8956EnpX/XKow/FcSnoF7HtzCT3X6dTkqlTe2fvaf2nuMf7D5BuVjkKZW5kc3RyZWFtCmVuZG9iagozMSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDMzOCA+PgpzdHJlYW0KeJw1UkuSW0EI279T6AKuav7NeZya1eT+2wjsrKCBFhKQFjjIxEsMUY1yxR95gvE6gb/r5Wn8Pt6F1IKnIv3AtWkb78eaNVGwNGIpzD72/Sghx1Pj3xDouUgTZmQyciAZiPu1Pn/Wm0w5/AakaXP6KEl6EC3Y3Rp2fFmQQdKTGpbs5Id1LbC6CE2YG2siGTm1MjXPx57hMp4YI0HVLCBJn7hPFYxIMx47Zy15kOF4qhcvfr2N1zKPqZdVBTK2CeZgO5kJpygiEL+gJLmJu2jqKI5mxprbhYaSIvfdPZyc9Lq/nEQFXgnhLNYSjhl6yjInOw1KoGrlBJhhvfaFcZo2SrhT0+1dsa/fZyZh3Oaws1IyDc5xcC+bzBEke90xYRMeh5j37hGMxLz5XWwRXLnMuSbTj/0o2kgfFNfnXE2ZrSjhH6rkiRXX+P/83s/PP5A3fbEKZW5kc3RyZWFtCmVuZG9iagozMiAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDE1MyA+PgpzdHJlYW0KeJw1j8sNxDAIRO+uYhpYia8h9WSVU7b/64KdSEY82TNjCBUQMvBhxTRHyIEvj7pp+g3OueheJFUPUVYR2BkiCebAOcQnUqEkmBNaVeccVgEFFt6vTvrIXXkFuO3A1bMdTfvbd6hNEvYQR2JK+SngdetH2yQqGua5FuoButdgpWgSshawxzYw00qofTuwWivPd/97XH/yeDaGCmVuZHN0cmVhbQplbmRvYmoKMzMgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA3MCA+PgpzdHJlYW0KeJwzszBRMFCwAGIzczMFcyNLhRRDLiMLM6BALpcFWCCHy9DQEMoyNjFSMDQ0BbJMzY2hYjCNQFlLkEE5UP05XGkAT1QSLwplbmRzdHJlYW0KZW5kb2JqCjM0IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMzA0ID4+CnN0cmVhbQp4nD2SO5LDMAxDe52CF8iM+JPk82Qnlff+7T4yyVaASYkAKC91mbKmPCBpJgn/0eHhYjvld9iezczAtUQvE8spz6ErxNxF+bKZjbqyOsWqwzCdW/SonIuGTZOa5ypLGbcLnsO1ieeWfcQPNzSoB3WNS8IN3dVoWQrNcHX/O71H2Xc1PBebVOrUF48XURXm+SFPoofpSuJ8PCghXHswRhYS5FPRQI6zXK3yXkL2DrcassJBaknnsyc82HV6Ty5uF80QD2S5VPhOUezt0DO+7EoJPRK24VjufTuasekamzjsfu9G1sqMrmghfshXJ+slYNxTJkUSZE62WG6L1Z7uoSimc4ZzGSDq2YqGUuZiV6t/DDtvLC/ZLMiUzAsyRqdNnjh4yH6NmvR5led4/QFs83M7CmVuZHN0cmVhbQplbmRvYmoKMzUgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA3MSA+PgpzdHJlYW0KeJwztjRQMFCwMFPQNTQ2VDCyNFYwNzNQSDHkAgqBWLlcMLEcMMvMEsQyNDdDYumaGUJlkVgg43K4YAbnwMzL4UoDAPG0FiMKZW5kc3RyZWFtCmVuZG9iagozNiAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDY3ID4+CnN0cmVhbQp4nDO2NFAwULA0V9A1NDZUMDYwUTA3M1BIMeSCMXPBLLBsDhdMHYRlBmIYGZogscyAxoEl4QyQGTlw03K40gDOgxXTCmVuZHN0cmVhbQplbmRvYmoKMzcgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyMzAgPj4Kc3RyZWFtCnicNVFJbsMwDLzrFfOBAOIuv8dBT+3/rx3SCWBgaEuczREbGxF4icHPQeTGW9aMmvibyV3xuzwVHgm3gidRBF6Ge9kJLm8Yl/04zHzwXlo5kxpPMiAX2fTwRMhgl0DowOwa1GGbaSf6hoTPjkg1G1lOX0vQS6sQKE/ZfqcLSrSt6s/tsy607WtPONntqSeVTyCeW7ICl41XTBZjGfRE5S7F9EGqs4WehPKifA6y+aghEl2inIEnBgejQDuw57afiVeFoHV1n7aNoRopHU//NjQ1SSLkEyWc2dK4W/j+nnv9/AOmVFOfCmVuZHN0cmVhbQplbmRvYmoKMzggMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA2OCA+PgpzdHJlYW0KeJwzNjZXMFAwNASRRkYGCqZAVoohF0jA0MhEIZcLJAhi5YBZBkAaojgHrgbCAmmEqAaxIKqNLY2hsggWRDYNAEeiFssKZW5kc3RyZWFtCmVuZG9iagozOSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDI0NSA+PgpzdHJlYW0KeJxFULuNQzEM6z0FFwhg/Sx7nndIldu/PUpGcIUhWj+SWhKYiMBLDLGUb+JHRkE9C78XheIzxM8XhUHOhKRAnPUZEJl4htpGbuh2cM68wzOMOQIXxVpwptOZ9lzY5JwHJxDObZTxjEK6SVQVcVSfcUzxqrLPjdeBpbVss9OR7CGNhEtJJSaXflMq/7QpWyro2kUTsEjkgZNNNOEsP0OSYsyglFH3MLWO9HGykUd10MnZnDktmdnup+1MfA9YJplR5Smd5zI+J6nzXE597rMd0eSipVX7nP3ekZbyIrXbodXpVyVRmY3Vp5C4PP+Mn/H+A46gWT4KZW5kc3RyZWFtCmVuZG9iago0MCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDM5MiA+PgpzdHJlYW0KeJw9UktuBTEI288puECl8E1ynqne7t1/W5vMVKoKLwO2MZSXDKklP+qSiDNMfvVyXeJR8r1samfmIe4uNqb4WHJfuobYctGaYrFPHMkvyLRUWKFW3aND8YUoEw8ALeCBBeG+HP/xF6jB17CFcsN7ZAJgStRuQMZD0RlIWUERYfuRFeikUK9s4e8oIFfUrIWhdGKIDZYAKb6rDYmYqNmgh4SVkqod0vGMpPBbwV2JYVBbW9sEeGbQENnekY0RM+3RGXFZEWs/PemjUTK1URkPTWd88d0yUvPRFeik0sjdykNnz0InYCTmSZjncCPhnttBCzH0ca+WT2z3mClWkfAFO8oBA7393pKNz3vgLIxc2+xMJ/DRaaccE62+HmL9gz9sS5tcxyuHRRSovCgIftdBE3F8WMX3ZKNEd7QB1iMT1WglEAwSws7tMPJ4xnnZ3hW05vREaKNEHtSOET0ossXlnBWwp/yszbEcng8me2+0j5TMzKiEFdR2eqi2z2Md1Hee+/r8AS4AoRkKZW5kc3RyZWFtCmVuZG9iago0MSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDEzMyA+PgpzdHJlYW0KeJxNj0ESwzAIA+9+hZ6AsQHznnR6Sv5/LZA27gXtjICRhjAIPGIM6zAlvHr74VWkS3A2jvklGUU8CGoL3BdUBUdjip342N2h7KXi6RRNi+sRc9O0pHQ3USptvZ3I+MB9n94fVbYknYIeW+qELtEk8kUCc9hUMM/qxktLj6ft2d4fZj4z1wplbmRzdHJlYW0KZW5kb2JqCjQyIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjQ3ID4+CnN0cmVhbQp4nE1Ru21EMQzr3xRc4ADra3meC1Jd9m9DyQiQwiChLymnJRb2xksM4QdbD77kkVVDfx4/MewzLD3J5NQ/5rnJVBS+FaqbmFAXYuH9aAS8FnQvIivKB9+PZQxzzvfgoxCXYCY0YKxvSSYX1bwzZMKJoY7DQZtUGHdNFCyuFc0zyO1WN7I6syBseCUT4sYARATZF5DNYKOMsZWQxXIeqAqSBVpg1+kbUYuCK5TWCXSi1sS6zOCr5/Z2N0Mv8uCounh9DOtLsMLopXssfK5CH8z0TDt3SSO98KYTEWYPBVKZnZGVOj1ifbdA/59lK/j7yc/z/QsVKFwqCmVuZHN0cmVhbQplbmRvYmoKNDMgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA5MCA+PgpzdHJlYW0KeJxNjUESwCAIA++8Ik9QRND/dHrS/1+r1A69wE4CiRZFgvQ1aksw7rgyFWtQKZiUl8BVMFwL2u6iyv4ySUydhtN7twODsvFxg9JJ+/ZxegCr/XoG3Q/SHCJYCmVuZHN0cmVhbQplbmRvYmoKNDQgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAzMzggPj4Kc3RyZWFtCnicRVJLcsUwCNvnFFwgM+Zn4/O8Tlfp/beVcDrdPPQMCAkyPWVIptw2lmSE5BzypVdkiNWQn0aORMQQ3ymhwK7yubyWxFzIbolK8aEdP5elNzLNrtCqt0enNotGNSsj5yBDhHpW6MzuUdtkw+t2Iek6UxaHcCz/QwWylHXKKZQEbUHf2CPobxY8EdwGs+Zys7lMbvW/7lsLntc6W7FtB0AJlnPeYAYAxMMJ2gDE3NreFikoH1W6iknCrfJcJztQttCqdLw3gBkHGDlgw5KtDtdobwDDPg/0okbF9hWgqCwg/s7ZZsHeMclIsCfmBk49cTrFkXBJOMYCQIqt4hS68R3Y4i8Xroia8Al1OmVNvMKe2uLHQpMI71JxAvAiG25dHUW1bE/nCbQ/KpIzYqQexNEJkdSSzhEUlwb10Br7uIkZr43E5p6+3T/COZ/r+xcWuIPgCmVuZHN0cmVhbQplbmRvYmoKNDUgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA1MiA+PgpzdHJlYW0KeJwzNjNUMFAwsVQwMjZRMDY0AmIThRRDLqAIiJXLBRPLAbNAqnK4oMpzYKpyuNIA6QkNwAplbmRzdHJlYW0KZW5kb2JqCjQ2IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggODEgPj4Kc3RyZWFtCnicPcy7FYAwCAXQPlO8EUJ8gOzjsdL9W8FEG7h81QMdIRnUDW4dh7SsS3eTfep6tYmkyIDSU2pcGk6MqGl9qX1q4Lsb5kvViT/Nz+cDh8cZawplbmRzdHJlYW0KZW5kb2JqCjQ3IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggNDUgPj4Kc3RyZWFtCnicMzK3UDBQsDQBEoYWJgrmZgYKKYZclhBWLhdMLAfMAtGWcAoingYAn30MtQplbmRzdHJlYW0KZW5kb2JqCjQ4IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjU1ID4+CnN0cmVhbQp4nEWRS5IDIAhE956CI4D85DyZmlVy/+00mEw2dpeo/YRKI6YSLOcUeTD9yPLNZLbptRyrnY0CiiIUzOQq9FiB1Z0p4sy1RLX1sTJy3Okdg+IN566cVLK4UcY6qjoVOKbnyvqq7vy4LMq+I4cyBWzWOQ42cOW2YYwTo81Wd4f7RJCnk6mj4naQbPiDk8a+ytUVuE42++olGAeCfqEJTPJNoHWGQOPmKXpyCfbxcbvzQLC3vAmkbAjkyBCMDkG7Tq5/cev83v86w53n2gxXjnfxO0xru+MvMcmKuYBF7hTU8z0XresMHe/JmWNy031D51ywy91Bps/8H+v3D1CKZogKZW5kc3RyZWFtCmVuZG9iago0OSAwIG9iago8PCAvQkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAzNwovU3VidHlwZSAvRm9ybSAvVHlwZSAvWE9iamVjdCA+PgpzdHJlYW0KeJzjMjQwUzA2NVXI5TI3NgKzcsAsI3MjIAski2BBZNMAAV8KCgplbmRzdHJlYW0KZW5kb2JqCjUwIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTYxID4+CnN0cmVhbQp4nEWQSxLDIAxD95xCR/BHBnyedLpK77+tIU2zgKexQAZ3JwSptQUT0QUvbUu6Cz5bCc7GeOg2bjUS5AR1gFak42iUUn25xWmVdPFoNnMrC60THWYOepSjGaAQOhXe7aLkcqbuzvlHcPVf9Uex7pzNxMBk5Q6EZvUp7nybHVFd3WR/0mNu1mt/FfaqsLSspeWE285dM6AE7qkc7f0FqXM6hAplbmRzdHJlYW0KZW5kb2JqCjUxIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMzIwID4+CnN0cmVhbQp4nDVRu3HFMAzrNQUX8J34lTSPc6/K278NQDsVYRoEQKq8ZEq5XOqSVbLC5EeH6hRN+T5gpvwO9ZDj6B7ZIbpT1pZ7GAjLxDyljlhNlnu4BYEvDE2JuYXz9wjoKwajMBOBusXfP0CzJDBpcPBTkGutWmKJDjwsFlizK8ytGilUyFV8Oza5BwVycbPQpxyaFLfcgvBliGRHarGvy2Up8rv1CRiEFeaITxSJheeBDmYi8ScDYnv22WJXVy+qERnWSYcHUgTSbG4SMDRFsuqDG9hXxzU/T0fZwclBv4rB+DY4mS9JeV8FoRCPF/4Oz9nIsZJDJBTyfbXAiCNsgBGhT+0jEGUgNEX37plSPiZViu8ARiEcfapXMrwXkdlqhs3/GV3ZKgoGVVkfn0ZwJoNJOPNkowrTUrXTv/vc4/MHY2N6gAplbmRzdHJlYW0KZW5kb2JqCjUyIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjE0ID4+CnN0cmVhbQp4nD1QuxFDMQjrPQUL5M587TfPy6XL/m0knKRCNkISlJpMyZSHOsqSrClPHT5LYoe8h+VuZDYlKkUvk7Al99AK8X2J5hT33dWWs0M0l2g5fgszKqobHdNLNppwKhO6oNzDM/oNbXQDVocesVsg0KRg17YgcscPGAzBmROLIgxKTQb/rXL3UtzvPRxvooiUdPCu+eX0y88tvE49jkS6vfmKa3GmOgpEcEZq8op0YcWyyEOk1QQ1PQNrtQCu3nr5N2hHdBmA7BOJ4zSlHEP/1rjH6wOHilL0CmVuZHN0cmVhbQplbmRvYmoKNTMgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA4MCA+PgpzdHJlYW0KeJxFjLsNwDAIRHumYAR+JmafKJWzfxsgStxwT7p7uDoSMlPeYYaHBJ4MLIZT8QaZo2A1uEZSjZ3so7BuX3WB5npTq/X3BypPdnZxPc3LGfQKZW5kc3RyZWFtCmVuZG9iago1NCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDIzNiA+PgpzdHJlYW0KeJxNUEtuRCEM23OKXOBJJCEBzkPVVef+27HDVO0qhhh/SA/pslUe61NidYns8qVNl8oyeRWo5U/b/1EMAm7/0MhBtLeMnWLmEtbFwiQ85TQjGyfXLB+PO08bZoXGxI3jnS4ZYJ8WATVblc2BOW06N0C6kBq3qrPeZFAMIupCzQeTLpyn0ZeIOZ6oYEp3JrWQG1w+1aEDcVq9Crlji5NvxBxZocBh0Exx1l8B1qjJslnIIEmGIc59o3uUCo2oynkrFcIPk6ER9YbVoAaVuYWiqeWS/B3aAjAFtox16QxKgaoAwd8qp32/ASSNXVMKZW5kc3RyZWFtCmVuZG9iago1NSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDQ5ID4+CnN0cmVhbQp4nDM2tFAwUDA0MAeSRoZAlpGJQoohF0gAxMzlggnmgFkGQBqiOAeuJocrDQDG6A0mCmVuZHN0cmVhbQplbmRvYmoKNTYgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAyMzcgPj4Kc3RyZWFtCnicTVE5bgQxDOv9Cn1gAOu05z0bbDX5fxtS3gSpREMUScnlKVMy5bK5JCMka8qXDo0ttly+D0JTS0XB1L1FdclrmKasWyxd0POpLK/hGOB7dzfUP/SI2QKR0YJdYYEOkDu4YPg9eyZsUwsiUSXUDGCasMIcrkQMQQZjnRkGpQqDU/V3leOzDTsF1g5mU6RHUhOddIPmhbfeciGCrVO5qTfShNzZpxhiZeO+SpfjA+BgostEZMTmZTieDmFo8M40YIWzHsQEmdaR0ouZkTENN+nI1VeLis82GUue0f/2h/orn27/gxB8xvsHSVVcfgplbmRzdHJlYW0KZW5kb2JqCjU3IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTU3ID4+CnN0cmVhbQp4nEWQuRFDMQhEc1VBCRKwCOqxx9F3/6kX+Uq0bwAth68lU6ofJyKm3Ndo9DB5Dp9NJVYs2Ca2kxpyGxZBSjGYeE4xq6O3oZmH1Ou4qKq4dWaV02nLysV/82hXM5M9wjXqJ/BN6PifPLSp6FugrwuUfUC1OJ1JUDF9r2KBo5x2fyKcGOA+GUeZKSNxYm4K7PcZAGa+V7jG4wXdATd5CmVuZHN0cmVhbQplbmRvYmoKNTggMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCAzMzIgPj4Kc3RyZWFtCnicLVI5jiQxDMv9Cn5gAOvy8Z4eTNT7/3RJVQUFqmzLPORyw0QlfiyQ21Fr4tdGZqDC8K+rzIXvSNvIOohryEVcyZbCZ0Qs5DHEPMSC79v4GR75rMzJswfGL9n3GVbsqQnLQsaLM7TDKo7DKsixYOsiqnt4U6TDqSTY44v/PsVzF4IWviNowC/556sjeL6kRdo9Ztu0Ww+WaUeVFJaD7WnOy+RL6yxXx+P5INneFTtCaleAojB3xnkujjJtZURrYWeDpMbF9ubYj6UEXejGZaQ4AvmZKsIDSprMbKIg/sjpIacyEKau6Uont1EVd+rJXLO5vJ1JMlv3RYrNFM7rwpn1d5gyq807eZYTpU5F+Bl7tgQNnePq2WuZhUa3OcErJXw2dnpy8r2aWQ/JqUhIFdO6Ck6jyBRL2Jb4moqa0tTL8N+X9xl//wEz4nwBCmVuZHN0cmVhbQplbmRvYmoKNTkgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA2OCA+PgpzdHJlYW0KeJwzMzZTMFCwMAISpqaGCuZGlgophlxAPoiVywUTywGzzCzMgSwjC5CWHC5DC2MwbWJspGBmYgZkWSAxILrSAHL4EpEKZW5kc3RyZWFtCmVuZG9iago2MCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDMxNyA+PgpzdHJlYW0KeJw1UktyQzEI279TcIHOmL99nnSyau6/rYQnK7AtQEIuL1nSS37UJdulw+RXH/clsUI+j+2azFLF9xazFM8tr0fPEbctCgRREz34MicVItTP1Og6eGGXPgOvEE4pFngHkwAGr+FfeJROg8A7GzLeEZORGhAkwZpLi01IlD1J/Cvl9aSVNHR+Jitz+XtyqRRqo8kIFSBYudgHpCspHiQTPYlIsnK9N1aI3pBXksdnJSYZEN0msU20wOPclbSEmZhCBeZYgNV0s7r6HExY47CE8SphFtWDTZ41qYRmtI5jZMN498JMiYWGwxJQm32VCaqXj9PcCSOmR0127cKyWzbvIUSj+TMslMHHKCQBh05jJArSsIARgTm9sIq95gs5FsCIZZ2aLAxtaCW7eo6FwNCcs6Vhxtee1/P+B0Vbe6MKZW5kc3RyZWFtCmVuZG9iago2MSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDE3ID4+CnN0cmVhbQp4nDM2tFAwgMMUQy4AGpQC7AplbmRzdHJlYW0KZW5kb2JqCjYyIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTMxID4+CnN0cmVhbQp4nEWPyw0EIQxD71ThEvIZPqmH1Z7Y/q/rMJpBQvhBIjvxMAis8/I20MXw0aLDN/421atjlSwfunpSVg/pkIe88hVQaTBRxIVZTB1DYc6YysiWMrcb4bZNg6xslVStg3Y8Bg+2p2WrCH6pbWHqLPEMwlVeuMcNP5BLrXe9Vb5/QlMwlwplbmRzdHJlYW0KZW5kb2JqCjYzIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMzM4ID4+CnN0cmVhbQp4nDVSOa7dQAzrfQpdIIB2zZznBal+7t+GlF8KQ7RWipqOFpVp+WUhVS2TLr/tSW2JG/L3yQqJE5JXJdqlDJFQ+TyFVL9ny7y+1pwRIEuVCpOTksclC/4Ml94uHOdjaz+PI3c9emBVjIQSAcsUE6NrWTq7w5qN/DymAT/iEXKuWLccYxVIDbpx2hXvQ/N5yBogZpiWigpdVokWfkHxoEetffdYVFgg0e0cSXCMjVCRgHaB2kgMObMWu6gv+lmUmAl07Ysi7qLAEknMnGJdOvoPPnQsqL8248uvjkr6SCtrTNp3o0lpzCKTrpdFbzdvfT24QPMuyn9ezSBBU9YoaXzQqp1jKJoZZYV3HJoMNMcch8wTPIczEpT0fSh+X0smuiiRPw4NoX9fHqOMnAZvAXPRn7aKAxfx2WGvHGCF0sWa5H1AKhN6YPr/1/h5/vwDHLaAVAplbmRzdHJlYW0KZW5kb2JqCjY0IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjQ4ID4+CnN0cmVhbQp4nC1ROZIDQQjL5xV6QnPT77HLkff/6QrKAYOGQyA6LXFQxk8Qlive8shVtOHvmRjBd8Gh38p1GxY5EBVI0hhUTahdvB69B3YcZgLzpDUsgxnrAz9jCjd6cXhMxtntdRk1BHvXa09mUDIrF3HJxAVTddjImcNPpowL7VzPDci5EdZlGKSblcaMhCNNIVJIoeomqTNBkASjq1GjjRzFfunLI51hVSNqDPtcS9vXcxPOGjQ7Fqs8OaVHV5zLycULKwf9vM3ARVQaqzwQEnC/20P9nOzkN97SubPF9Phec7K8MBVY8ea1G5BNtfg3L+L4PePr+fwDqKVbFgplbmRzdHJlYW0KZW5kb2JqCjY1IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTcxID4+CnN0cmVhbQp4nE2QTQ5CIRCD95yiFzCh8wOP82hc6f23dvD54oL0SyFDp8MDHUfiRkeGzuh4sMkxDrwLMiZejfOfjOskjgnqFW3BurQ77s0sMScsEyNga5Tcm0cU+OGYC0GC7PLDFxhEpGuYbzWfdZN+frvTXdSldffTIwqcyI5QDBtwBdjTPQ7cEs7vmia/VCkZmziUD1QXkbLZCYWopWKXU1VojOJWPe+LXu35AcH2O/sKZW5kc3RyZWFtCmVuZG9iago2NiAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDUyID4+CnN0cmVhbQp4nDM1MFAwUNC1VNA1MjZVMDUEsg3NTBVSDLng7FwIEySfwwVTCWGBpHMQKnO40gBUlw8dCmVuZHN0cmVhbQplbmRvYmoKNjcgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA3MiA+PgpzdHJlYW0KeJw1jLERwDAIA3um0Ag2WGDvk0tF9m9DfE4DLx0Pl6LBWg26giNwdan80SNduSlFl2POguFxql9IMUY9qCPj3sdPuV9wFhJ9CmVuZHN0cmVhbQplbmRvYmoKNjggMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA4OCA+PgpzdHJlYW0KeJw1jLsRwDAIQ3tPwQgGi4/3yaVK9m+D7dCApHf3goM6QfK4GymcLm7ZV3obj5OeJgCx9ExD7d9gRdWLWhQtX25j0GIqvj/6JCCWdfJeOPSQEt4fxRcdewplbmRzdHJlYW0KZW5kb2JqCjY5IDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMTM4ID4+CnN0cmVhbQp4nD2PQQ4DMQgD73mFPxApdkJY3rNVT9v/X0ua3V7QCIwxFkJDb6hqDpuCDceLpUuo1vApiolKDsiZYA6lpNIdZ5F6YjgY3B60G87isen6EbuSVn3Q5ka6JWiCR+xTadyWcRPEAzUF6inqXKO8ELmfqVfYNJLdtLKSazim373nqev/01XeX1/fLowKZW5kc3RyZWFtCmVuZG9iago3MCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDc0ID4+CnN0cmVhbQp4nD2MwQ2AMAwD/50iIzSJTTIQ4gX7f2kK7cc+nWTTKF3gFWlChJzayElPW+6ehIODFJCwX23o1b4qS3uqIGoy/jZ8d9cLdxwXTgplbmRzdHJlYW0KZW5kb2JqCjcxIDAgb2JqCjw8IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlIC9MZW5ndGggMjEwID4+CnN0cmVhbQp4nDVQyw1DMQi7ZwoWqBQCgWSeVr11/2tt0DthEf9CWMiUCHmpyc4p6Us+OkwPti6/sSILrXUl7MqaIJ4r76GZsrHR2OJgcBomXoAWN2DoaY0aNXThgqYulUKBxSXwmXx1e+i+Txl4ahlydgQRQ8lgCWq6Fk1YtDyfkE4B4v9+w+4t5KGS88qeG/kbnO3wO7Nu4SdqdiLRchUy1LM0xxgIE0UePHlFpnDis9Z31TQS1GYLTpYBrk4/jA4AYCJeWYDsrkQ5S9KOpZ9vvMf3D0AAU7QKZW5kc3RyZWFtCmVuZG9iagoyNCAwIG9iago8PCAvQmFzZUZvbnQgL0RlamFWdVNhbnMgL0NoYXJQcm9jcyAyNSAwIFIKL0VuY29kaW5nIDw8Ci9EaWZmZXJlbmNlcyBbIDMyIC9zcGFjZSA0NSAvaHlwaGVuIC9wZXJpb2QgNDggL3plcm8gL29uZSAvdHdvIC90aHJlZSAvZm91ciAvZml2ZSAvc2l4Ci9zZXZlbiAvZWlnaHQgL25pbmUgL2NvbG9uIDcwIC9GIDcyIC9IIDc3IC9NIDgwIC9QIDgyIC9SIC9TIDg1IC9VIC9WIDkxCi9icmFja2V0bGVmdCA5MyAvYnJhY2tldHJpZ2h0IDk1IC91bmRlcnNjb3JlIDk3IC9hIDk5IC9jIDEwMSAvZSAvZiAvZyAxMDcKL2sgL2wgL20gL24gL28gL3AgL3EgL3IgL3MgL3QgL3UgL3YgL3cgMTIxIC95IC96IF0KL1R5cGUgL0VuY29kaW5nID4+Ci9GaXJzdENoYXIgMCAvRm9udEJCb3ggWyAtMTAyMSAtNDYzIDE3OTQgMTIzMyBdIC9Gb250RGVzY3JpcHRvciAyMyAwIFIKL0ZvbnRNYXRyaXggWyAwLjAwMSAwIDAgMC4wMDEgMCAwIF0gL0xhc3RDaGFyIDI1NSAvTmFtZSAvRGVqYVZ1U2FucwovU3VidHlwZSAvVHlwZTMgL1R5cGUgL0ZvbnQgL1dpZHRocyAyMiAwIFIgPj4KZW5kb2JqCjIzIDAgb2JqCjw8IC9Bc2NlbnQgOTI5IC9DYXBIZWlnaHQgMCAvRGVzY2VudCAtMjM2IC9GbGFncyAzMgovRm9udEJCb3ggWyAtMTAyMSAtNDYzIDE3OTQgMTIzMyBdIC9Gb250TmFtZSAvRGVqYVZ1U2FucyAvSXRhbGljQW5nbGUgMAovTWF4V2lkdGggMTM0MiAvU3RlbVYgMCAvVHlwZSAvRm9udERlc2NyaXB0b3IgL1hIZWlnaHQgMCA+PgplbmRvYmoKMjIgMCBvYmoKWyA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMAo2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDMxOCA0MDEgNDYwIDgzOCA2MzYKOTUwIDc4MCAyNzUgMzkwIDM5MCA1MDAgODM4IDMxOCAzNjEgMzE4IDMzNyA2MzYgNjM2IDYzNiA2MzYgNjM2IDYzNiA2MzYgNjM2CjYzNiA2MzYgMzM3IDMzNyA4MzggODM4IDgzOCA1MzEgMTAwMCA2ODQgNjg2IDY5OCA3NzAgNjMyIDU3NSA3NzUgNzUyIDI5NQoyOTUgNjU2IDU1NyA4NjMgNzQ4IDc4NyA2MDMgNzg3IDY5NSA2MzUgNjExIDczMiA2ODQgOTg5IDY4NSA2MTEgNjg1IDM5MCAzMzcKMzkwIDgzOCA1MDAgNTAwIDYxMyA2MzUgNTUwIDYzNSA2MTUgMzUyIDYzNSA2MzQgMjc4IDI3OCA1NzkgMjc4IDk3NCA2MzQgNjEyCjYzNSA2MzUgNDExIDUyMSAzOTIgNjM0IDU5MiA4MTggNTkyIDU5MiA1MjUgNjM2IDMzNyA2MzYgODM4IDYwMCA2MzYgNjAwIDMxOAozNTIgNTE4IDEwMDAgNTAwIDUwMCA1MDAgMTM0MiA2MzUgNDAwIDEwNzAgNjAwIDY4NSA2MDAgNjAwIDMxOCAzMTggNTE4IDUxOAo1OTAgNTAwIDEwMDAgNTAwIDEwMDAgNTIxIDQwMCAxMDIzIDYwMCA1MjUgNjExIDMxOCA0MDEgNjM2IDYzNiA2MzYgNjM2IDMzNwo1MDAgNTAwIDEwMDAgNDcxIDYxMiA4MzggMzYxIDEwMDAgNTAwIDUwMCA4MzggNDAxIDQwMSA1MDAgNjM2IDYzNiAzMTggNTAwCjQwMSA0NzEgNjEyIDk2OSA5NjkgOTY5IDUzMSA2ODQgNjg0IDY4NCA2ODQgNjg0IDY4NCA5NzQgNjk4IDYzMiA2MzIgNjMyIDYzMgoyOTUgMjk1IDI5NSAyOTUgNzc1IDc0OCA3ODcgNzg3IDc4NyA3ODcgNzg3IDgzOCA3ODcgNzMyIDczMiA3MzIgNzMyIDYxMSA2MDUKNjMwIDYxMyA2MTMgNjEzIDYxMyA2MTMgNjEzIDk4MiA1NTAgNjE1IDYxNSA2MTUgNjE1IDI3OCAyNzggMjc4IDI3OCA2MTIgNjM0CjYxMiA2MTIgNjEyIDYxMiA2MTIgODM4IDYxMiA2MzQgNjM0IDYzNCA2MzQgNTkyIDYzNSA1OTIgXQplbmRvYmoKMjUgMCBvYmoKPDwgL0YgMjYgMCBSIC9IIDI3IDAgUiAvTSAyOCAwIFIgL1AgMjkgMCBSIC9SIDMwIDAgUiAvUyAzMSAwIFIgL1UgMzIgMCBSCi9WIDMzIDAgUiAvYSAzNCAwIFIgL2JyYWNrZXRsZWZ0IDM1IDAgUiAvYnJhY2tldHJpZ2h0IDM2IDAgUiAvYyAzNyAwIFIKL2NvbG9uIDM4IDAgUiAvZSAzOSAwIFIgL2VpZ2h0IDQwIDAgUiAvZiA0MSAwIFIgL2ZpdmUgNDIgMCBSIC9mb3VyIDQzIDAgUgovZyA0NCAwIFIgL2h5cGhlbiA0NSAwIFIgL2sgNDYgMCBSIC9sIDQ3IDAgUiAvbSA0OCAwIFIgL24gNTAgMCBSCi9uaW5lIDUxIDAgUiAvbyA1MiAwIFIgL29uZSA1MyAwIFIgL3AgNTQgMCBSIC9wZXJpb2QgNTUgMCBSIC9xIDU2IDAgUgovciA1NyAwIFIgL3MgNTggMCBSIC9zZXZlbiA1OSAwIFIgL3NpeCA2MCAwIFIgL3NwYWNlIDYxIDAgUiAvdCA2MiAwIFIKL3RocmVlIDYzIDAgUiAvdHdvIDY0IDAgUiAvdSA2NSAwIFIgL3VuZGVyc2NvcmUgNjYgMCBSIC92IDY3IDAgUiAvdyA2OCAwIFIKL3kgNjkgMCBSIC96IDcwIDAgUiAvemVybyA3MSAwIFIgPj4KZW5kb2JqCjMgMCBvYmoKPDwgL0YxIDI0IDAgUiAvRjIgMTUgMCBSID4+CmVuZG9iago0IDAgb2JqCjw8IC9BMSA8PCAvQ0EgMCAvVHlwZSAvRXh0R1N0YXRlIC9jYSAxID4+Ci9BMiA8PCAvQ0EgMSAvVHlwZSAvRXh0R1N0YXRlIC9jYSAxID4+Ci9BMyA8PCAvQ0EgMC44IC9UeXBlIC9FeHRHU3RhdGUgL2NhIDAuOCA+PiA+PgplbmRvYmoKNSAwIG9iago8PCA+PgplbmRvYmoKNiAwIG9iago8PCA+PgplbmRvYmoKNyAwIG9iago8PCAvRGVqYVZ1U2Fucy1taW51cyA0OSAwIFIgL0kxIDEyIDAgUiA+PgplbmRvYmoKMTIgMCBvYmoKPDwgL0JpdHNQZXJDb21wb25lbnQgOCAvQ29sb3JTcGFjZSAvRGV2aWNlUkdCCi9EZWNvZGVQYXJtcyA8PCAvQ29sb3JzIDMgL0NvbHVtbnMgNTU4IC9QcmVkaWN0b3IgMTAgPj4KL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0hlaWdodCAxNTYgL0xlbmd0aCA3MiAwIFIgL1N1YnR5cGUgL0ltYWdlCi9UeXBlIC9YT2JqZWN0IC9XaWR0aCA1NTggPj4Kc3RyZWFtCnic7L1Lsy3Jcib0fR4R+Vivvfd5VtW591ZdtYSESaBG1mBtjQEjJHUPeo4ZZpgx52f0AGvrIUyZwB9ghDFghDWNkKyF6NbV696qunXr1Hnv13plZoQ7A4+VZ9UpwVSTk4Nj++TKjIz0cPdw/z6PSP7ef/0v4mBv/j4BtG85XlpeWP9SqMg9AJTO+pccrmz5HIcnBKDJLODRnxqI7WfS3hiA6982mXjxl7j9TaRbjlcGoHvD0qB9h/ECce+tQSOkYLywzc+x+xEBaLTSW/tWprUtnhMAiO3nCmD5jeyeWdoSQF5Yc8PSIe0wPDAAi+ccrgCgucH2C22uBUAYMDw0AKuvuXtmFgEgHDFeaf88WEBeGQAoLCBtmXuziKs/B4D9Jzw+0uZGWDCtDcDmS9z9PZjAiKd/pNf/TnCZrL/G+pvp1e818QgA25/o4jsZ10bDJ/8qv/wHCcC0tkf/t739HS5e8vDUAMQdn/zJdHgYr38b3SvuPzUA3Vs+/tPp2/8spjvmlbEAwPor7D4jDKU3TfBj9Us2d7b9MY3Q1gDACIAKEONGAay/lGmF0ps22Pw1jo8IIO4xXAGEjLWptENpcfhEl9+I5DrWklFajBsLA+Meuy8KgIufhdzh6m/y638/hgEA9s/K4z+WwyMOD4yF3VsAuP81DXv+xn/39df/5RfP/tt/CeDlf/OP0s62PyILIGhuAeD+p9q9Em0xLeuwtu+w/9S0NRm4+I7TGgDGC4t7xgNY4KJz4RhQetv8jbh6hAM14eJvcP9TxC1LBwD9S4TRpjV3zzQcCaB7zd2PFcTyV3J4bNoYgLSV9i00gaUqTPeG919o91oWL+zmt7D8FQHsP7X+NY8PTUa65nSvOa3w4M9195nkDouXBmD3jCagYlqaJZOJ3r3uNS6+ml7/bpIMALmHTJCM4cpogAEADGFg/8o00cd692O9/Av2b/TdbwWXOYBpjdIaiHRPbarad+8sHu3t71BGNncA8PRf3X/zB+vSWHNPY1VjmZh7AxGO1GQA0j3HC9PWHv8x7j+XcHSx4+/9D7/6xX/1IwvmKtFes3tjl38zfvcft8z47H8/APj6n3Tpno//9fT2t5OPjgWTzO4Vj4/tR//b9Pw/SQAu/wq7z5gXFg48fFYAyFE2P4cm7j+z9h3HC3PtffInZVzJu9/mrOrNLcdLTfcyXmjcE0DaclrZ8lfY/gRlYfGeAOKBeWGrb3DzW5buBABo7TX3n1rcc/Nz239CAD/6X6//5r+4hIAFpTUAza2AkAGlNxm4fG4Ajo+Ze+Te+tc8PLbFdwSwf2Zxz9zb+svat+3naG44rS3d8/jI2nfVZZXONr/A7tP6Fs0t8qJa4hf/8/6rf7oA0FwzDEj3RsP9FwCw+hr7T7n6xt78nvUv5fhIvXsmsGhxSwtYvDD3TnGP/TOVie4nd59Z/5quVJc/Ly//QwEgI5pbtrcWDzYt6DdaQF7Y5ue4/7Wqde01mXF8YnHL4aECuPwZS8vhQRVR2lXXcXhq6Y7NLcZLVxKViTCUhaVbsWAAwpEXP9eX/xA/+V/Kq3+Qjp8UABy5eC7Hh2bJ4lbcD09r08a613L4VGUggId/ZofHwl/75/8iHDitFQALLRknhgEs9A5pa+FANxs3ABgsWBg4XWjYy+orArj7dQ0DuzccLo3K8aoA6F6F2kgDqjtT3P6mWbR4L+01Xd1BTCt139q+DQA02LQx64rsQ9wTCgDTpfbfhdxbWZi7GBhKZ91ryUsrHWQCAA0ovYEWDrJ4QfdZFsyCta+jBQOrSuWFURH21IR4JIDSWe6teyPNLXafec8tHsjM6UJZEHd1UgwH9q84PIQMAHB8qu1rGa9URmpCHZ6B4UAQ08r89d2iSmv+aMkEwIz+Jbc/MQBxT5+K0g7dG7v5d5GX6h1mZroVGTGtTbs6Y3EiFe0ND4/NkgForqW9xvbHpq3GrYSRrgHjxiRj/SW2nxNAacwiykIv/iJMqzoVWTg5XAWAslIA/fNgRNoj9xg3BqAsNO6kueXxkXZvZLg0AHlT0m2QqU4PAMIIDZg2lu5YFqYRACyaTNQAKtzFaDQq/TXTvWi0KuGBm19g/wmnlQGgwYjSKwvjltPGACy/lWmJeMB4YeHIvDQAy2+4+5FRUVqLhzoljFfKTMnQBJ+KTEwGkQJO6N4QwOFTy73JSEsGRXMnrordW+4/MyhcwuFIZq5+aXe/ARmYVwrAiLSlTDw+UmrV9vaN5KXFPbu3dv9TzEc4MC/NxNK9AJjWagGrr0UbHB+a62HcMxx5+Ve6+1TGi3qjRctLw0lzmmtqwuYre/c7oNY4wwI0QArilgDGSwPg0YAJmOvrNzcybcyCcWIYwVL1n4q8sLhl6X16FmZogkWY1EeMV6aNNe9kWhs9rmsMiuWv5PDUujc8Pq6znSYbrzTsxR8aDowH5qU1NxyuzAQA4gGlgbuauKOMrG+RqgG2bwXAdGHMsAAL0Hga2T0BjA/UArpXAuD4ROVI91oW0VzTlef4WC1ABro1LZ5zWsICSm8sqFMgYcHiVkpnYTgZ+9KMyEvr3oh3eNqYRlt9I9sfq6U6BXavuH9mi+fUhLyEC3P9Je5+ChpMUHoF0L4JFz/X698itVp6XpgFsEAbW38l97+mAPrv5PBUZaLf65Pi8YGtv8b9T8HMvDDXh+6VdG9t+zlkYFkYABmR7njxZXn774X+pQG4+zWkHYcrTVvGLV0lTFB9iCKvFYBLXiYaYYLmhgD6N3b762jfcVpXJ5aXZoJwYOmtvRYfJmaGI45PNO7eX2nBwl6oyCtt31XHnlcGQ3Mn00qDD+KR09rC5R/+vrcYj9QIiwgjESCZ2sCHrXsjuYd2ZgEmaO7EfzLAbUkTLCCMHK9MEzSBChZaQJgIUFszoQlKSwto30npwInL76y5h0WWFtaaBYNRE0pvkmEJFoyTQACBBUBROmhjUghBWXhoydJDJmiACWSCdhYOUlZaWnavJG05XVq6DxYQBoKgYfUNDp9a9zJMa1z+FUpHFuS1MdMCWCjKMDGvlYVhYrrjdKnhIACbO+YVAJbetId26F6LRxbaYPVLKT2kMN0xrw2ENTa/Qtpx2hgCQFAJwgQWqZ3RqJ01d/SscVozL806C3thpvtigiEThmrGR7KQBmtAJQu1QbpnXoOG0tX3La0hQiPGy+pWZKLPyKVHWUAyCWhEc8/SgQSI9lriToaHag1YOG1MW7OIeBAqwsDSwdyzC2QirapyGCAZpUPemEVL99RUO5y2QiUENGgLbWACGiwy7gkQNbRlc8vjQ5beZAILtDUpBNC/luV30CTxwMNT7V9yeGAw0EgDC7SjJsQDLdYpIR5oobppFpSVWrQwSNwJFaIcryyvodGaO4FAG7TXUlqzACkcHlpzS22RdhIGNjfs3pp2nDZI2+oUIOjeSV6YLizdi49FGJnd33V1epYJJtAWMqK9FhqosARtLW3l+NgccggDrTFNGC8kLyyMpIIFacvSIAzVvZYOeWXHBzxZPiygvaFGSGb/2g5PoL1ZRBhogrhnWZgJ3AQAPPwzHJ4SARZgESywCO3MLYiFMrJ0CAPyyja/wP5H0A4sCCM1oay0uRYZKSMlwxJBaKwDQWP3lsNDiwe27yTt2L/E8AAgNKF/SYJhoIzVfi2ebKo1TSAgI03Qv2EYcXxs3WvRBu0NmVk6mCCvTHsrvYa9sNAEmoygT9VlrUaWrtp12opGdK8Zdzw+NhotmDZYfkOf7PO6rH8RCJQOacvSQxOmjYFkYWmR9nTNz0sbL00mWoBMBFEWLn9awOpX1tzi8InlvvprmZgXAPjw39rNbzIeWJZmCeavOSFtKZnDQ3v8J1h+i+0XsID2WpbfYngAjSwdCBwfV/slQEBbKz1KV9/30/8jr7/W/eMQJuyfVs2xyOnCtDUZCULb6tVdB2jIS6OSRhAyUkpFIJp7UjFeUVvTBlVJ6tRgYaBkxgMBsjCvNB6Y7pmXsNZWX4fmjgDTjnnlcy0twF/c5924k+aOYWBZQFu3+4/Hx+Pj8fH4eHw8/u6O8OQf/aERNJogHkit86T/LRnttRwfGemTP6m0gOaO2kCU2iAeHYNC+47DQ6NiDoKmNbp3tABtYMkg6N5SW+SlNbeSlwaw9AQwXVi6Ddqcsh/CAvoXgUpR5I1qa+EoMrH0RqXnEyCaaykLi3uWDpJBg0wsC2tvpLSQifFAAtMKcSeSmRemDTShLGCs4cm0Zl6gdHAwnYAFls40gYVULF4wL1B6xAPpQGVA6RAmQEHFeGWSPenmeGX+LG0NBhjSTjSAyuZOtDUYZWI8svRmAcvnMjw0gKKAkaAllAZXf2HjFbVB+zaEgQ//H5uWkpdmAemeEEhhc8/SmcezmgAiDADpwRQED/+Nde9svJDSobmnNmCGY4MWQBCEEXFHFqSDY8qQCdqYRWgDybRo3RtarJhtPIgF5BWaG04bC0dKZv9KhitrbqV0RqUJxkvzMdKIsrAw0DmtvEDcsSxrkq1NTbhXv5S8suaW4ciyqKCNFKy/QXuL/WeW7kUKTLh/ZtpAG8hECEFIZmnNITILKC3CSJMKK5UeeaMGhIEWKs3Wvgs1SDTkjWpj4Sg0TBcKY9pyujBLkAKP5kCkPSWj9NCWhyfmeaRMlEyQMlATtLXVLyUvQEPpa7bh1JGLvSyMxsVzlraGpTBagmcG8SBhIItnNmjuWFpAaAFUDI80HqvyhJGlgyY4BhsPhJGFEFAZBkxrls5TDViANTDCGpgAgrQTGnafUgo0gebKQynUFiwMAz3xksK4x3iFaV0RhemqNO9CWUA7lYkWURa2eCHjlbnlLl4w7Tg+sOMje/p/cveph884PIVFLJ8T4PGJk0ygUpSA4yXMq9qIRbQ3HB9o6TltYAkyMK/NGUFPc+OBIC0iHujpgia0b4XKMLC0Nd13YOYEYVHbisvFI8OB45VpZwigUSMsAYRFOJJROlCZ9swL0wTPxppbyb3FfU0mQDgX6Ko4PMR4CRlFXf6EBTT3Evcc19QOzNQGGmGC7i2NtIDmFtMau2fYf4b+hViCTBwvaLHCp90b5gW0N4eaayocYcKnf6IGvvlduf9cPGGFuDRYOsQDZeLmF6BSE/JaLRmLYx9grsMajkx7SmaYkHuEI0EMjzTuaRHhwLRlOBJ0Z8vmhtpg2qi2FvecLizuaQ1gpDmdyfFKLYDGxQuJe2oLRxG7N0KDdtAG8QgQ4eKf/P7iO06X5gajPdI984XKyP4N457HR2aNyci447Qxb7f00MZAQNDekIppDQvUZP0r6V/h8ASlRTzSoXlqTQwdnLGAcOC0MRlpAeOlISDdUVur+EwBgDA6PlMRMxCL7zg8tDCchKjUhHCgs0dlYRZBg2T2L7h4jv0zM6K0AKmNyUQfBosWDuKoS1kYle0144GSmdemCZIrdmTJ0k7GKwsDPeEFYcnijtOlysCqsmR7XQfAEtobSsZ4aWkneelOE1TklcWt5JXlC5VR2huJex4fW9xx8xWmFSyge81whDa0wHHtAQO0we4TirL0J9JFqu+YNghHThtzR2kJNB4fAaBMzL2MF7QA7UxcnpkAtAUEea1QamfulNsbjhtAEEZqUzGcdMcw8vjELEIypRCG5p55WVHcOJDqtkFH5C3W9mk1o+/eyXjpqAvDACnUCA8prDUZGQ6cNsgLk5EWUQMLZRi4/xTDA4jDLxEWUZa2eC5px9wDAipKD2o1v2ltYSQBmThdqCXrXkvpYNHCQIsIRwmDOFqVl5q2oh1obK8ljCwtLBqNcSdOSToIU3qUFqVDaSGFpa8uxudXC+hfclpXRNpxuTBCG6ORirRnmJh2KB0smQnDWJ2Rw5uWoBHdW4YB04XBEI/MS7OIuKcU5LWVFuEo2lnakYr2HQFqg3jgxS90+7lpc+LMSG2sf00NkJEE073kpS2+FQJh4PI7aCIEpTeA4Uinij2SY0FzJzIxbzwKwbQxbSxtRbLTSARgwsULiQcOVwaBT58EpgtMG+SFSub+M0AqDuwmZgHHJyoj044ycXyocce8MJncTgFjmBgGAixrQ6mBsnYoC2NhWarP7m7vnHj1Mxw+AQS6sNKiuSUV4UiPL+OepTNtLQwsnWljLIw70jBemKUaDNFoAZpQGV9n14wWzMF2OkV3T20QRrLQq4osormVtCfA0poDYJKpLYxYvJDx0qFshIEe0cYDx4dq0TSyvWFeWF7WihgYu7eUkcND0wTtjIBFjBfY/AJ5QQg8XgkTm1tqg9JI6ThdmHMrVLgvddZn/UscHmN4gGkDsJKF4UgELJ7ToTZXm3Bk6QygU0HOlfSvZPEdmi2OD0/wfqY2BqPPiyxsbqgtureUic5xeFhcOgf9WFqUHmlPAxYvBER3bcMVTFAW6F8yPPpP/8BOdTseaJQeFk0KjSwt8so0IQykMa8UAsk0gTUWd+IhgTagUhuLR/avsXtGbWtcYwHxSCqbW6Ytx0v1vMqlqS0soXQWpproiFIKZSCV/WsOD0wyZaRM1BbThclAj6a9wsQ9Xekt7tx7Mt0R5PETnVbUhLgXKj3ECEfGg+QeMDa3HK9s2qiMUpaqiWWBtOO0suZGaAwjw8i80rgTTchrSzumLWXCtK4RU9pJaQCif0N1kL2x5k5KW3Mvz1faG7rNeN1H3iii9d8Fn8ZK57QqwkRNWH2DeETu6eUJYaLnMe7WHdV1+VuEEWEkWTUmDBwvjQX9K+YVqBgvLS+NBRZIBcG8Mm1BjxaVy+ccnpT2OkjmtDaZGAaOFwYalcDsEE0Xpsm0MaJmxnllcc9prTWFaqG9ySjNHcPI5obThUmpehn3Eo7UhLyy9i1Lf8rMibRl94bDQ4NACixCCpotpWC8Mp8LQYhWS2bmtLFpbVTKBO8ni5OLddLVWNNcZ7CaW9FE7Q0etAkQkNeKgLiT9prpntPK8gLNrWiLdCelN2ebLKAsrHQWjp4oGAEqunfMPbQ1S0j3MjywsrT+pXje78wBC9MdqcxL0xbTGhahvbFUag3EdKHaWvtOKmu1godNosxLg7K0KG2dmy2he8fjQ8sLjA+tueV0Ze01d89A0IMz7SxtaRHTGnZSwmbL4VGRSfICmtDeYP/MLFBba68lL2pu3d5y3PhcTs8pl99hvGRemcdSZWGXPxOAYaJ2BqU2sKaSwW7X00Y1GU9cAgK0M0sVD6Bi2iiMeW2uWhZqU6U3Ggl4sp7XhgB6OeIEKrRBcyc0lpVaYzKxrBUETKYVQMR7Ujk+sLindrb6Fdob0Dg+VJlIpQdJzbWUzrQFgLLSeC8y0hJkJI0s/iCGkdOFImDxnYxXBgECZKJ78/Gx+qzmzjPumddmUgtYPOuaLtQCAbg6eWwdD5xW8GgMBDN9oio9nGcdHsIhIhq0M5cAiOkCpUXcUZOZgIUeqdBQFd6IgHBkXnuJCixgWkMb+OQBgzVWS4QaWGBemacH2tQcbryw9h3HS1hEOLL0yEuWjgjwOCZtOa3NksnIMFIK88rijsMjyz1oLO2JoQzQBt1bmpDKvLC453hlzBwewAGVmoV/9vf/8PjY4oFSmBe2+TmHKxCophLgc08YaMnCkeHIvNa0ZenM0QAXRHeN8QJXf4ndM+beylI9wjJCCi1aXtYZ0iKCF2mc5irPjbq3zGvIeCJFWxipncl0etu1WsDihVS4j9BkMomlU54eQEP/mhDkhS1eyLQ2yQTrHGAJ40Nd/jI0d5xWpq2BbO4lb5SjeAWBV3mWheWllc5oNRcuLajs3lEmJ/9t8VzGS2vu6RNAc8u8hp0GVRNkogmau1rZAkBGsQaWwFEswF1bZRGlMtiHT+3wtFZngLURBwEs1aozR5+oLAtrbpkXRuO0rjgkiNIxr8wLFx20lFJD73Csnl0jFt/RInIHD7tcrcdLs9bCkXFPmTitzJVbExBnM66KISMWr9jecLz0wnLISM9OxkvIxOau5sHN/amArTPHP2vVRoAlSGbpTkFrQvtWLGC8sHjgo39bFm/s9jcAYTgwr23zpRyfKALCSCPaa4aJ40UNUGR03BIg2ncS98wrNHeUwrKw7rXkjcErXEZxkKd00AZpz7w2jwe9Co6K0qF/xfHKZBR/kTq5nhwBjFR6MuFJKq1G6yC6d+JJtieFHsvHHdOOYcC0MS/58dKb/g2HB+YztzsRk/ePa29rELZ8juPT+gpxz9IiHpjXYAEMXnax+iU0eXoEsHbSPW8tM8kyrU1GwiObZBBsvuLhCQDGgW6JmjCt3IJqcknltEYYmVfmtgzCfQINeWFeEiITFy9keGzuQzkJMzdf4vgEAGlcfksqvTxVW/P6EU9Aa7mpwLMQDzXCyMu/trwQjYaA0isElz+T4yMgmCamLcNIr1HykcoL00amFceNsXDxncDo3szrvjwMKr2Hy7CA5lbMMU/CYtVMY03p3J9SGY8sHcq6cJRwFBY6heH1Ds4UeESircVDzerCQFSnytJbOFImpr2MVwph95qlQziQhWVpUrh8zukC4ch4YJgY9xwvqjGmLb0UpXuHvMTwSLWp05jXrdhpJnM9bN9R2wrsA2QmxEHFap7uT7QxKrW3cJS8NAjCRAjadxyvrGISHYrjhJOkLbUxE0e5LRxPziq4y6IF9K+Zl6g8grpDozY2A6G+RCdc/uM/yBv1ShWCPn96OKPRzKNUOSGesQbm7voh8LzMIsa1WUJJFbCyCBolUwrCkf0reI1KGFk6S/diCZrQ3NMhkdKrxdqgV+ItXnJ4aD4AlT1KMLIszAEHKqGUDIsWdzJdKCrzwby07p0Ml2aRjnhorKNSlqqReem4BABoqqN7qidBe0sY9RT8yihOjIFo7isxBmNeQjurFZ8rk5HTxqQw7igKySdQfkttURp4PaEHO2lLSyeoN0Fb61/KtDqlIILmRhDgqa7jGNq6tCuNB3BOOEhQUZZq0QDmlbLQOYz+haR7IlAbr1gzdz2e81Vv28JL46gsPaSASiMQTtY4YvMVxg1hYOblX2N4CI3IS9MG4xrjBgDSPcvCls9FE6mEVdhdCvPSWKgJy+eY1nTKRxQEtKnrBDy3tgQIujekIi9A4PhQDk/E84bjU6XBcxEA6VYgyCuUHjDvOeiZvYCGvLGytOZOxksrS3NG4VTMRguwzlZfUSMlY3hosGrhy28BMIwcL0w7SCZLxdzLwrSz5lYkY/0NZGTaehWQgYxb5nVNejyi8qzdg6Hld+KJUV5AexhdZ9leU9RLAUklUSnGOHD57SkOXUEyIRgenAgqcPktxgdo7pgXdRAB0pB7lr46d9CTQjjP1L+oCWtZWDjQkjlGDUKTaIfmjsODuppnujCHOvPKTCAZUioI7DNxuqdkX73E5pZ5VcusYSitL6tww5EwMS9Z6djCClQGTJcKMt1Lc8fxgXpJcRxoUpe2NHeMR6Z7HB4zjLDoEQxZODxA90pAOiChnUGQV9bciodW7rUkA8R0aXllji5c/jV2P7HmWpwny+uaIYXM0nslKPJGtbN0K+me06UBNSp1ACAeWBqme3GZyMjhkVpA6ay9JRXjRY0q2mvJK49C2NzXWmdNCBMIlBYmTHsnBavzTHfS3HJcg4XhWMtKy8JM6FWXeQkv041HDA+sdDUmcKbQqRDJfPRnuvzO9k85XhqM8cC0o0eZw0OlMozsX9GpzXigRo9b0NzTmXLntqcNFs9pgTWlu1JOhKB/xeEBLALBjZ0un3ikE/PhQO2qE/DkqVaxk2Fg3DEMPDy1MPFjBd3H4+Px8fh4fDz+jo9w+Y9/XyMe/ht27+ALWahMW26+stxTJo5X1tyJJjhI7QtZ8tJkYP+Gg9fMCLTxJR2Vok9b8bQUhv41dj8GS4V65+WutbKIXrkPgDJh2iAvke7p2Ne0sbRlWVit3w/QCILNrRekGzw98qzTg2KtFFx7y/HKtEVeOoAg2sCEvox0/SUPz9TLSGrpESvp6kvAvFzQCXYEX69X0U+HpxxA8BVODjaW3liIiHCkl0Jo4hxCSiU5jQVxL/1LjleO5ln3WoaHJpNTAvTgtyysuavBnWdO7Q3HiwoAlt60se6taIdw4HRpYRDJ1GgQNDficCVITXAqtXvDvKw9b255/KTEnVgtWSSV5nlwZnPL0iPuKZm+4mH3I1RBKQ9P0dywLOBklS/Eiwd2NxiubFohr60sbPmd5GVdIfieF+wJONpZVdDTIK90SluRCWHgtHKgptaAWUTcyfGJSq51nmGkj4UX/2hjzb00t4x7+gJDBPOaAhraG05rWzyX0kMjwkAnDq2BJRsuMV1oXpuXomkDUXhNhEsjr6y5E4/3vb5UMvtXvnoJu8+R195nQ4Bnk1JIQHLdzsPXOYWRIKeNeXWlA7CO05ZFXWkoI2utx8iytLywae0VX0g7SkZZVNuxAAvmC00kEwEmpBFiMhABoqd6VMAi2mt6JcXuJzpema8DM/GFR3YyIrAgL2ARUGhCWZo6Sl+onRkr6ykj89IsmNdZxb1YxHhlzGhuJa/NArSvCZmXn3hdSThw8drCxP0zbW5EMsMkF38JbXn4VFnoq820Nc8GvM7T0ba8QCWoAKgje9DWZDrVEbjt92hupb2hU1O15KQzayxuxREkR7CpOAH7ZGH3RkpvXv1UlurAYLqX6cJkZFnU5Yx5YZKpEctvZdoABgfS80ql0AtZa1WL1NpFR1w1oXvH8cKaWykLKy20gdcBsVCmSnY6CpU9CaZj3VpZNEX3WvKqFoCMG9OGzS3DRBnrStB4oDa+WpnHR3J4LJ4ry+Tru2tlqTZ49KfYP6uUKoB4rMWQMpBgODCMdXGetuZa4WiWMzWWYIG+yMmChZEwiNYlZSBg0BZh5LS2/hXD0evxpHsLKTg+UqfHIJCR4eo//4P+tWy/wOEJ8sIcFIJg3DAMcJDEMbFazBZROjMBif4Fpg289kwbLF/w+NicNB6elLzW9m3QFhZ8iTUgaK85bSzdSXvD4Yk6SKJLCzsRRa2gDQCqgZWlAcjLWnwFMB6ZlypT9dFUpC3z2tJW8sYsId3RLc0hgorb9jW3lbHiQrsvNO5C/0K8EmzmVLwaDaQU+Eq9MNBLm6RwWqF0WLxkXqF01r2V0sK8BKNxUg12WrsKotaOR6Q9pdSZBlbJidLABOHIsoQMFbXw7oWReVlX145XtZZ9WkFGaANHgSBVh7x42sugqYAxjLSAvDRL0BZO0kwbAIDU/SZKW8vbvCwYqFMCpO4n5LSWV+Q7E9O9ZTxwurC89L1tGE/VjNoCqFU3Xi44GzCAtJVpZRagyZo7KT0gJpk0hIG6MJ8emFl6eG1u1UaFu0iZmJe2/Ea8gDOv1VfeNXcimTBoh7xEXoIZlpB2oum0ds/YveXxsdGXYzfmfED3htpUAISFpTNr7QSd0+sR8tpkrCBD95phxHhp7Tvx8R0v63JOGMtGZZB4pAXfoqmuLvTKnYqdK2q1Z28AmjsJI8vCnKrX1q5+xu4dxqvaKy+OL0vT1tK9OLbjiBN1nnvgIPZn/7Jsvrb7n4hFiwdJdxwvzUsPYLWEKYwsSyPQ3Hh8aeEg9GqCQgiu/hz7z+rGRV7ap73JiVwJE+lAaCGAfKGa4F4VhLYWt8LCsjAv74TRYcP+FcOA8dK0RXuD3Y8rfVtXVvS1Bm/9pYwXRquqWBbmrCGsVld7Bb9Fh/1ggrQV8DQf18pSZ4OgrU0bc0YgDDRWBMm58LKoGqixsizjBs0dS4dwJISXP5PuNfOKIMrS2hvxhcbOODa3HC8ghc0N44HtjR0/MRkERDwKjaFW5J5KG8Qqrminyd6LYI9MO5alyVDJPJdz6byQ1dKWeWUElt/I8MB4QuZNkFcKUka2txgemLZuYvBYPO4Yh7rLVNoJrbIn1UsQh0/pD/VaAa8ZdkYzbXl8rGVhsW4rYxbRvpMwMK9t8Vy0pUV43yDoX4iHU9qaRXqZj6+E8VIpX3KuDSVzeGBGSqmlHGFgXoBf/E//TKcTTFeIYAxmWSQVs4r52iQIFtuiSgCmp/NKiWrltD4+mP9Kmg4BgHTFL6OY30UxCt4/kQbAhsC2UAyE3wgxv4XBYKiPMEBMkpoS3lpQKwJafUT2nkCaYoWWxdsBIEl1EnjMWPsJM3pEQ1bvbFlCU7SQAvPUzUja/G/t9elZ0hTNUs8USrS5MwB0EokGoIziwoEBRkbVMYS2aK4y8fbr46SSWN6gTmJ+WaMSzAxWSLH3YpcTM8xTnnHa2awKEDDP+YJpqQ9yaNYcyaf5yIrUP0hoZmwzgDxESapjCE0p/rI0U0pS2KlADVAlCS2MTdYSAIhoKSJiWijB/N6YSilCMZxeWZWWhVH9uXbKlihVPVxbJGk5Rgad1axeRqPADBSbx0KHEPpsSr9MgpVDkLZQoIXmDbbFCm0MbEqNClPJQ2TUeQQB6C7KIusxsi3zuNT+BwVhxVXRXGjzjQA0S13VEtQF/sGI6xhci6wIg/ot/rI+gpqFYjYGAGGRyzFIW/RQO+P6UPUKqPqpdGmAkKi1mIRWDpFJXeazYnv7Po6uRVYoSX0ovWXXYVcV778pQ6NuRDoFb1+S+lifjw6MoSl5H5kUgERzEUkwVxiXiZt5iFrK9ygDEqDJyTTed1sZXFwqrmkUKzkAiClPQ2QwoVVNO+k/DG77OGksDAxmhX6+TBKSGiCiWhxVgFQtrZoPIMRScjCjhKIqp1dFyeICdx0OUc1oRi2kmMwapXQF89d3M6maT1TXUcfFh7iOjil1EneAs7uYB2i2FHdxbnR+WZmEwfwuM0pUl4lmCW3RSWYvURXvbAStkMF0ktDoeWvuOUOoQ0Yxb0fEysnvzZ10Qbk+VF0SUxeXi24Icbk6uiBQvcl7kfnYu6QAxKB2psTzXSelMaHZbA+rerL2ABDRuc3qtk76VIqQRkJEdSGz3s+H2Ukv3Q8a/czsOv3X88vMoCqk+SP8Ln/iuU7PXZpNNIoWO3v22QX2/fOkBdp8MQGh6dk1s7iw+F4jIqoqQbScDGluYTaUuZXzBt9PVyfB8mSoONkMaUXfu8Pg2lPV/m9pf759fpzQvJEYCoDcBQC2AE+dkTMTPb+xPlF0FpS35r3KKt6f80a8b+f9se93bz4TaFNXZ7i5J14Q/cEtarQF5awbAEr7Xhmq8Zx0flZ4Ec2pzP+tM2U/iljppxjLrDnnF3zvYhUf3POR+kDOegprzIhlfe57Mc6+1V/kZC8AQlDrSVrppvM+z/05dQ9yFtzM3dNuwpll/X+ZmN8+3/uB/c6iI+3cfFyMQnuv86dDaFOTz83wVMZ+GhqVIAogiOaTZ5czPZnl80PB+r0fGLK2k3fv/Ho3gRjKB+Z8bv61bzQh9Ey7/b8+uACCmBn1fPo/ezU7jdq5iNzq52H6ILR9P/one/E/ijF836XMF5zLWWgurtkQZmWbO6DG+V45+QQA5x4MJyM692Ne4avfHzX383LmfHByMn7vB85hftn5vWZR1Mf1H8sWPh4fj4/Hx+Pj8Xd9xMO+tVM6NqfqIagZPOFtu2kaY5mk6Sc/Q5qnw3Po4SclqOkpIvAQwGhWV85I8IyeJUuINcLy4G5Ghyhq6lmR4ypFS5jTMs+LPa2ZA0BPbM9BmxCLJ9eelYd4wlVUDJBznI0G2owmAQAtByuFplI7bICxFAmxmIq/l8dHNQ87zfZnUfNJukbQTIVziCfq/zWji8vvFVHYexjTe+JBayk1FvOn2ynQq+HqabBweikJqnPKXGqHccog59zx/DCV1GQAeXICFyFozhJj8A54+zMGgrNcs+TgEvaHSj0PACVLhTjEgKpOs2LIKT3VIhLUg3FV1s9eyAl0PQXvIlay+ED4iAAIQUPUaQr8fo4yJ44SCoAyBU85Y1MATEMEKlbDsxhzhmV4ltCHWPIUKJancB5Bq526WgFPnYdATzno6adqLLW1HFwNDHXUQizzCL5/hPefBiCPAUBsiiveewvKktqcp4iz7HBWs/MhrhpoNK3Y7Jygn+eIOMkwnJRztt9ZsGdqg5BK1X8V14p5XHxk/UXcbHGm6i4Wl8k0xtTknEPT5DyFWYVKFgmqynAaqfd5z8lMVJlSOU878izqoNMUYvSTVRopSc5u71W15ozTLwtnWjEbmv+Rs3hrZvQ3FVFvbW7hXERzwu0YUqj+hDMq7rI6gXVmxhkZfo/9nFmKX6zGeXRQ4S/9wKhn1H22HUcF3bpnU53PnOfE87/ePTnz5LM+ezf8p/kRPnbe5nlP3GPnKdSH1oTuvT8JsZiSX/yP/+wcHHGAXs6ANTPoGGKXnUHBCekDQKDkisZWT3fuTOe57QQaACcAmnXC8G6FWPIYJao3+L3bvVeh4qcSbLYlAJq/R8/wpAH1v2KYFXQKDt36xTjRISHNuX81D6HlKUisg+3wd6VGTlC+N16OMXTZH1omeY+AzwjnqVeznRR/hR9YFE40yfzrPJU6XH56X5npgXOsqWbRp/zc4VpnL2YlK6OkLucxzMjye1GIlSEACI36vF6ZoUkAxDaXKQBwuHlWdI9gZtgaHyg9EKK6NPQEwbtM3iPgp0MLYypV7E69nJgVSeoy99ZO01WdSOYBPamKz210yN5DmTMJn5Bu19hgpOUxxDbXAAh1WZ6eYYazVrtu4AygdhzMVZq0ELVkYbB5XpznjDyFmAoqFn0SfqkfLJgZi5kpnBE2A/w88J740RO3Ud+dFaazk5LEJpccZo2ae2IOQo4RgBXGtuhJx+qcnUPlKsZQmcIpVHrvrDXXZycRZ8Jv7rOeOhxTcYG8Bycdfgw1psweEzSVrnBawjtQhtAspumQ3uthU/IQQ1PyEEJ7mgIzJakVzgy007czd1sdDirpNXuPSkmyamy9N6oVkaRlCIw6E9J1dN7TJ8KozuXMJN97qxmDNAVnvsKyMKiLrnJpRpc/Tp5ntuKZP5NoZtWoqzl4rZ2zLEkBOMnqDHeZ6kkdgzOvbmveB7C6I6eQcfKuZvRhcmlQTMfgbzTT59KUc77flBKsMnyndsoQJKor8AdciYSShzg/br4gBJ0NTQvjZnP4gMk8B17nI4ipfQ9XdUz3HFE1o192fghR9HtN/bDBIFZ0JrHrPPOe8prjeo+19X0ENAcsDu/ORy4ioo7wnvfzAwh4Bn/nNGu+6/xxc4fndqqbWL1/37mp80e4QD6Q0t8qt/llzwX4Q2rq/Mz5MJ2PyzlpcZ7/fXDmvEHSdPmelf3gVx+decjOO3z+4ufvMt/4w+t/+N9ZaPNonr/d/HScRtnV5gPO4AOpzpL/4TFfM98ya07R93eR9bnCE9F4duW5iHLNKmwe6/myc/Wb1Wm+7APO6QPjOr/3A3mey9wlcM5e4GzI3r+1SgzqzOJUZD4DfE/bf9hh/2O+5sTQMIjlIrO45sv+VqP7IS9S7X31/swHRAuWiEFLP5zfWynA1Xsdc1fwgVaflxicN/7BH/5TDFqUZabE3HyWNCCeKbbzr/NjZkZnPik0Z/508b03dWqEgDOvqjKTo+GMPietnJJg/IA0qn0wfkD94sTNOEH7Q9d9zsueEzY4PX2Wzyy9+Y9Zwh9Y6yzkc4djK853nU8o9eT3ZfLDaQJAPI7pfcqiDEE9aT2fA3Ca386jeKmz3OmdVUg7oUDvuyJiM8SEMxd5XnEw33XO+M0txFg8C56T6PnvilcU8W7PtQzTFEQsBJ1TVJwhXRV4CerQk5z5rPPnnh5xlpme0vmzadL+f2TiF9jJffhDz2GBD8xDVWIsHxQRnfdtxp3eF66wpvZzDcj5tHquLv73D234A2M+n59O7cxldXYOqHqHzXBCLWpSH045eAjqF8z680Ph4KR1pYgjEjPQge9r3Twi5wI8F4tH5fNYn7dzkgDPywVnIGIeiFzh3xOieIY1zXDKfKO/3XuY5ax78+HaW1OK06x8riSzqM/fCGfwkV85D4Q/7vxZc4PnSfY8ZPOvpUiMZdaE+YxrDk9o8Pe16P3Lzv+e50CzGD+Q8DyILs9Z7DgLdlVl7pIP1iz8WexjDvi+Yz2Xz+igZTyVdZ3STVd7fF//f+imz/V8lsk8rABKFk9kSZtBvxOaZ6XQ/xUxrfSBzpKZdaDmzfWuMAt2Hpe5M7McTuaJc4fmLagyRjVjKe/d2nzLjLWeG8K5SsyvXApddD8Mds/nmA9+Oi9g+cAA/Y9zf/jDkzWcOgGbPi98z8+HP14fnqrvXiOFOdl0qfFOfDsvANopJ99Joi6XC3vf26pul+lf/PS1HaXXxbeh9Mi9ASi91vUKWj8JGnZSOvO1qAD8A4j7x2Xxq7D/TH07NQAgtLHVl2F4aLuN+qddj0vTxtprmZY2dgqgfR0Oj0r7NuTGNNTuUdFe8/CJal84iX+zlhMl4/g4L3+RdGMAhrXKINpqOIgFa24FwHBRPzu9+5GWpQJgJhRxL3mprLsFgxl5Zc2N7B+X9V8HALsfqy+o1MaadyEvFUD7TvZPtbmR0tVi8aG1R/+ab3/XZKKMtcPNLYfLuiX52Jh/2dA3e+1ey3Blvv/8+LCk66DJ0lb2j0t6J0Ddqq57JWVtsiOA0lUFizc8flq/qJ2X6rtfa1s/O0vDsKjfCdRe/XO/eaVhVz9VCZpvHtq8CaU3H9zTzo/mu7MsnsvhExtbA9C9kvHC8qYAiLcBQL7MYRuWv5L7Xy+cKlYgE8tS5ch0J+EOAKzH/rE21xKP2D1TBAPw+I/k9X+k6Vry0lzmeV375tpbl7kMhMHXbdiMi57WdcaDbzOMJ3+El//Q1l+G4yObv7EL1G+wNtdhfFQApGsZF9bcybDSdC/+UeDdpwWAJVt8Hf0z9s0txystvcogviLVjyla2sq0Vl9OASAcuX1YYEj34rsNldYgBgEHxn29jIXjlZpY+yaMV/V7mumO44VZMBb6kE0N8qbEu8CCsT/J/JEunkteQCPcdsKI6ULTtVhC2DP7V3F7jMl87HxvTRb6mc1fy/0X5tv8lM6yVlH71kphz7xRNwEA6ZZAXcqqCc0djw/U5cORMrG55bSxY+ODDW003QT/aDeAstZ4L9PDzEHCVrwOPBxx3Fjc8XhZ4n3wz8xPC5uuSvciDlfqX3E9Pps4iC/Kbm64eW0A7n+K8ar038b+FsMFAAwPFMow4nhVHv1f4e1/oACaGxlX1l7LtLH2mgD2n0+Lr5JkHJ7q/EGAeC/DpnQv4vCkhL0MjQGQY91+c7wq8S74QDNTbum7gNdtIQ/YfZ7TXRiWGnYCQBuzAIilW2Hh1JvrbTgyL6x/4StPq8YeP8mLX8bDpyUcK+RORfuWu5+WcF/nAG0sN8aJ4UD/nvp4aVOvcS+lM0vWfxsAHJ6VdCOltXTvsCtM4HrlBuh7uRaDDEzb+u1jb7/0mu5C3czQtfpSw17KUuOtVB/Vmq5KehtdH/x7yiDijvsnpXsZNCHdA8DuJyXuJC9s9bUcPjEAx3WJd6EsVHw78IOrk8rxYwXdx+Pj8fH4eHw8/q4Pfv7f/3MYwlYAlKWGg+RVCQdpbuTwowkAB/Eoz/zD2PCPqCuAdBumi1qfFnainfmWAemOR48lxTgKxOY5Nhwkr4sMAsC/GwRADhK3vtHvaanpiVoPW9EEaxUAC+O9wDA9yLILAKwxOVJGhiPHByqeAVyW/lfx+EkJWykL9T6HnWhjtihyF+sjnMpLlq5DXphHXnllpVc5ijZWq78maoS1CoMMIqcP2OhCPQznKIBvM2NhG7RV/+wYPAQ2aKfxLuTLAoBj/aa9tobCdOfxvkFBgybzbUwB5AcTj8FjWOsVAArpH58fqb1xqD2p4g1AJlA/zGynELjKPSoPwRfY1jNi7dswPC7WKEdBqWJPd2HaFN/MNO4EwPRk4i5YozDK0cM9bd6F6Urbl2F4XMLhpDxbyRcFtOUvEoDDJwqDRYOAE5trAZAXVnqzpGEXyrr4sFpUFC6+ifvPc028xHzXD2R6dlKWCkIOoouCQtZ6EfTfheNTtWDQk9g7TbcyPipylLr206UkkAMt1Fx8eJpBg+9b6mFs8g8WmBzrvukAykKhRDAT84xNDqG5kdKYpwtVpL5Icyf+VSRHBXyj4rJUWN2TuyxVDqKdshCFiAagfRniEbufFIuGU54k/jmc1hAMzr2LwUCl9pW05+g7PVu6kfFB8YUfRoPg/2XvTXZtS7YsoTGmma1qF6e4hbu/KiIDkUg0sweiBRHxEgmQaPBT/AGfQROJDg2UEhIKCZQE8TyeP69vfcpdrLXMbE4a0/b14Auy41sub1y/fs7ee1kx55ij2P9TXPeovbmtgwd0WTAYWru/Sjyx7NXkl56S2c2cwUqdKoDhpzR/VbjSek33se13A7NYp3IW301X/8TH/8QsGATQtn9lEVbUSSHwpWvJ4GSis8CaP4JG00G94g7PwTvFulEbKs/BBvUCPF/VcBTJlJXLF6UdKZ0iCwuHd2H+op05CBYfYt0q6uWcs/YEw1n87EI0ZEIA2ufPJbNYsvgs+apCLp1BUvjDutTt4Sh11HAMOqnRmBuX1TpjoXXK+bOEH5YMCllEBwVAJRfqpFw5vA8A5i8qDDZVnoMFa27xz8x7s6RU9h/C8rICgLRTy48RANq7mQFRaZ36pvBYPF/q/id1Uz11qb35qQmoIeAiNlQ/xCwYgkHAWdqPdVRsaWd4OAmA7pGnvyq+9iw1pCScpFw18COcxdERZvq5JLkBFbKybpSFfjL4wY7K7mMQGOKzxJlxJgvDDBplJQtYhEUcimmBGQoo4kGoDCeRFf78ZBaL6N+H/qO452t6kPQg6SHQwOx22Wzhg0a5uLy0dSIY7hhmhlPzU2FmOIp/2haPCMhJwonpiVCmZ0nPYsG234nklpf6+VOUyViYjv5ByEIjhvcBWSwZM9tbqgxHkYxwZpmsTMYCWTm+p2TEY0MDQAtHYSUrLJklo0HO9Mwot2NipsxiwcJZPLkVhjDTAvze5SJcBMb4TI3wwyUs7gPdQq7a+VLBCqwSD8JMWcR3QngOFo2V6SBGc6u6eCIMYRYoZKV7/g/vxIJ1n4SL+NOBMj20jxCPjEeGs2gyE+MphGdxY7pwFj8K+4+BheHEcCJWgTI+RlY2ArN7uijC2lYnAC60aOkuoLIOaHb3Buusfx/CQoseH0BfUX4swiAzoWQWKZCTcCVX+t5Id2KdpoOkg/h6YAWUEPgCYKFkxAP9tvAf6BGZAGRp66S/F1b6Tdw9inamnUEBZTwECxZmhBkO0jJLPDI900LDx3z904nmxnhg3lgdrC3jClakRwEQVngkTLNYFmhnsjCe2i+Vk8jKcBJxJ/hMZoYV8635N5meQnoKvjVkAYKle0EwBLeIFiOg9J3ot104SR1MVkEhClnIRc6vTZN9hoBkoRGe9eU/LR6pEVCAkIUtf+tAFoaTsLQ1XPuWFyfnwALfTaxENJklHZieJD3J+cvL1/sp+CUki3g8qCwis7T/MRPGcBBZ29J1+zU6q/jijgPCgnEJlgyF8cB4oMziV5es6D4EVrISi8gsqKy9haOEo8giMILgwv4uhFnCLNYriHC6vI1COYRmmrVIPNAfBBWofPUPfpRfzqI5AJBVoPDF6e6IAFDILJIhGelZmNvSbTsRl3PgJCYIJwmntr9kFllkeanLS21LKzvY255s8O8H6D+EMraPxpXhJDDEk/jelEW6jwGK3TcCsfFNGN8EFnJp2BfE4JzMc6sjWZgeQ3oMVHIR0LzktWBUhucAoLsXaFuczJQMVsoidXMZW1w+oC8GVlowKFgYZtFk/mHjQYwWz9TRfJ2M7ygLLZqsZCZX8XQeqQxf/pv/ukz+7BFn5q2lJ0HAeqvpQcKZcRYLYHVnMHED0zCzv5Paw0Ir31rk4sbgZuYBHsQSZqajAKDRXRHdRjA90eOWWzq4UirztW6+D92jSBE3IqPBSC+Ftj+IBcyvNJzF3zDIfGXpiRYQT362NpfVSxYO05OEs4h6uA7dq4pAPFMWAoRAe3P/PirSs5StbX72aBYA1I3u/hy0p5G+bdza0gcA7vOYniSeaQn/6n8+HX/buy9hWOgWdvFEN0xMB/HwRFY2H/vQrAOHj5JvajyKhzrLQreS9GsjHiQdWTvEE9eLuzsNJhg/iAWM7wShmeGHlbWDdhg/SJsfHAINMLrhVVhbhAQrw8rxA9cbAzC8C2Qzn+3vpexMO8gsUv3g4Phe0jNN6Faw2oMe87pw+xOWG0gmVNyvXgo9DFd7bL+X8xemHaSie2YZEc+UVWSR/l4GD/27sf5O2loy3Pwjz1+CSg/E6h4JkmBYJJzEWlqPrDcminQQ7duz2Pwky0vr7gKBfGV1MIu2+4vkDcOM2js/Hv1dGN9JOrJsUCero4WFsnD7g4iy/8TlRTsWPQnN6xJm0lj2NT1K9yjxRP+njJDC/vFij9tCSZqPnK/8MDMs0t9TB8STQNHWAxA8sSK2mi+eOb2ROoGV2iHMlLWlDHeP9HwEKZRFwgopYGH3ICF7mIL0d0TwohhSPGTdE5LoSXSySPcg2sNrNQBh9sujPbV4kjqCSh9EsbJ7kHiiRrpBmdv7SqYHHVlA9yAE6mTj20CDRwfV0awzKvffSH9PQGQlhGEBiP6B8cx0YNkCxnCUeJLgBqa99Z+CCljokTm8jD3Cynzj/mYc3ofmNjm1ogFAPAkN/Z3MX9TPhrBwbkdlfy/xKJ6TBOP0JtTRMxgZztLf8fBXYGU4k1Vkkf5OhvdBEyBMB3EfXpBuPArCD0CaLz/2n8SftXZ+Z4h7rXYPEs4EGM8SVoSFZacQjG+D27Wlg9Su2RKaID2TlXlnm59aPv30VjSCWeLMFr+SWba2+yacfmssrKPV0XbfBPe69dyveKKR3bOkAzWCtS2k6Y1AAGXIjEcJZwlzc6LzKpyEVGy/lzLCIq7/iesVWagDAAyfhIZ4kv6B6cAyIizS3QsEbV0pxw/N49EtaC2i9qC1Jdc9SL5SEDJLHS28+i/+KJXuHVt7Gz7Ket1is0l6OpkHGnpKsQkcMFlfeCjyZ8AH6Zl5b3UEjMMHiSciQjsrOw25xQ6WrQ6fQtl4ZIt9/kK1a561Fpohpkdfh5me9QtBnJuN9/RW6qad9VJYNnCPcG/tm3+2oI7Wdnhodx7YUj1okEyPRPKkcx3MOjPB/htY5PlL82Cb7sA6mO9kd8aktfy0vNeweP406ui3oD3+x10dWuKkO1FSETLdq9hv9O6e/T0tIWRIQRmx+UnKFsz0BN/aNz9Wi7j+2k5fwQLyFh5maMnSk7h/MKxZKPrlJJm/RLS1GGwDMHyUvIfbL3pepA7QhHTgemXrjcGTXcS/N5VVJLNM5k6vnpRqAggtNV9t6wzg8IE6AgGamK9VKqnonj3r1sJMmNsguhEkLVnZ2fZ7ccd3X2nn32h6Yh3w6v/Sp7+hJkBw/tJwiVXUhHa7r8x7lZU6tKRtHa2OtvlZat9SlusEE/SPrD10MgjCSdYbhBWWUDe6+0a6J/YPdvirZvvtwTYslIp45vlLA1i2BoIF8SRuxup/DWCYRQrKDp4f7xGZFtE90tMaNQHGkCGFNGo0L4+koOzNAvzmK7uWcu1BsSb0WCy3Uq4juvsWCEkDyN33dvwdnO8gmRBoRJ0snmV+pZJhAuuQnjm/UhrjmR5j6omZflTFmVK5XplkxpkELDAdLlnJIzQgHds42q9Yt0JeXquXgN2j+OPQ2Pywy8amN1yvW+RVvtY6WdlbgwQqyxZ5j+6RJrx46SLvUCZ4iBQzp7dscXMJm59EKvo75p1DzbAA0RaNA2VL5yItYvMzy9Rc2ONJvBSoPWgtEtDB3jCLrCg7q4PFA7WHVJaxVeFSGGfknfV3zHtIxfjeY6Is7xBWp5BeSDGEe87m2+qZiqDTNDykFVKgA7xYpKF7oFvB0lC2Vge4DzeV/R3LBiwtJpQABJpQ9hbPUjbmGZge+wlClBYvblgry66a0EsBAFK43qJsbPcXrDctIv2yeS916uiHG+OZ6UQIPcTPAvOVhaO4Fa+bNecdtLd0YB3ot06+Mghqj+kd11vzhPiWdxwBQx1t+4OkA+dXLff2+v9lmTzBqLXyVEhl2avf5RCEm7/7o/vsSqEOHo3qoXbie++SwYd0FKntKy5blUydrLsTGqXSza3LxhCt/xTytdbRGi4xWjgL3MTIQEU8s26M2n6jLCIFZQMTpJNIpUVobx75+i+2IsoIKrsn+mkolSyMJ2pE2ZkXoaxt94aV8ehW9khHyXuF0N2aHRzzG9EiWHzzIyySr1Am+I1LxXqr3pEsLxXSEgpq39LDWoKhNDNpx3k9bMoE0zvOr6x7lLI3T8zrHqUO0B5lC1lZR7h/MMj1WuNZ3PGelXXS/k7qiDK2uIcws+ysf5BwbtM7J8N4Z1M25gnQ2pl7FYPs7z19gP7NtC9/9odFSygTLAHR0r14eqlFhJNM70lrWXZe7pWNDZ+oER6I53ve35IRJlhemFed3SPr0MLUPfuue5I6YbjzHGVjRRl/6QP6B+Ytao/+kfOt5J01V+adAq3F8aRnAGVjJmyRsmjRky1K1bi+qJ4b4jOVz1mrAOuk6Sge+RwW0R7nL6DRkzfNG8T0KOnA01emqfVSILbfheGjacfl1lpf8sBLsoP1d1In+GE3fhRNWG9MMurQPoXnp4SZmnwdcr2x7Q9SRlDhfdVyq97iAx7M0ZqqePAwxpajEU9cbloIt1/hELhtdt4rBP2dOO5ddgZjOpCK9Zp513b3+NYD61rsOltyrgAtxrRuTDKtg1Qa6B7YftnUwQhOP0l65vzKLJmHfvZ39HCTsoUUQFE84RuAIZ7p7u/eX44fsN6ClVIBomzVknkHBqBMKPuGB2rvBXtDTaTSEqY3zUL+c3Hp1WqZYAHpRO8SWFu+rcfPwzyq0Qsy+xxi7bl/ngHt11je2viR82sbPhHg8sLyDgAs4vpP/7/sbS/QNcJGjc/Ci5v+L6kWCVRuf0CZ6K1AW7HJ/Pu0CCipnN5hfgESFrD5SZYbWED3RE0oG+vvxBMsAVhv/cdgEbU3N8kGUQdLBzHB+J75CiDigWVj+cq/mRYTLJV1MBKaWqBqWGCBZTA/kXRAmKm97f/C8xeAYfMTvXSok1n45Wh1u+6womygycK5bTepXG80nQRsK+fqn21+zXDi4Q8tsZA+oFJ0j1yvraFi3uLj19evr19fv75+ff36+g/6Crv//u88BtgiNGF8L54h5tkVAMoGIKS0wtOvdxq6RykbG96LZ6I4Pz0sYsFz0gyAx91rZPcg+VotWljFm1DtEY+sQ7sV+3s6ANVaWm1d0SXqAwBMWLfqUSLat36TyrK1dCKN+Ua1t923st5aPEh/z/m1hbXBERAMH8U7VgCSKRleYFLpMzfPn8/X2j2ID4Qcr68j4kmoLXk+nlq2fB0gKx2ESc/U3vZ/xum3dpGMsI724t8btQHu2mH3Hcro3bp1T22a0kqthZoQF0gFQA/+gTA9MyyU0mBAGnUwz7Xr79nAnI3JCm9qLSIeSSAeud4YBA6wxJmtANSWc9hINbM0ACSTRsmIZ5YRAFgRTw5RgpXdAWFB3uPSzlIy841p3+ARR/AlgxWWoIPBOL7j8tLANjfqnjzDsHW6stL7YAvweZuPKwBaRP9R8t7o2eRoYduv/wHH34JA/yD9Az3XkZV1YyDiifmmOh4bzxJWemPkg1yNPmWFJhDoHpj35tC2JZSt0zdYNxZmkcLaIV8h75CO4gBd2dr0RtYXxsqywfie8cSrP9vzX8PbXB8kOJuNhIcBthjGDjqYSUsmnF9q2RhCW8n9J3E2iibkvRLc/ggvzGmIJy63FlbWrbKIBfQPLJ7npg0X9doTwjpAyiUSJkAKy8bWK7Snf9EIspAGROSdeQXthTa1od+sGN+xf6B3eN2BNDh2ZwEOAluEDqiD1cm8G4jOzjizv+PySnFxoLH4SyRP2dr0NqRnyXvT0cLMujFLbe84BusJXmH1Fcu4IF8jHinK/k7SswyfOL9SakMmPZw+HomAeGY8I8xMB3rQ0fiBywsb30uYmfdgRb6y6Z2sN9ZC6jon9XkQH9YbdSqgJaSDLC+sQTuXrigUwpieRSppNLYHDbR5R94hnlknf77wpL50oCUPOYNU1IFwNpCgDpAKqSA4vmfeoX9gWFl2Bjo1ESZERDgTRL7R/i5oZwTCTO+o6mj9vViExgs+aeyeqD1q73HvfmShdrCA4VNrUKQizFJ75msdP8jhr3V5YR43xcq60bK1srMwSx2ttVme2ZhQxxYvJyuNvh5w+oreaYGsk/qlYAHaY3qDsoF1oDE9i3YI1//N3xkbeuAtGA0N2DFSWbbV042o9Cx61pY0WiYLs+S9WcDlMjMQ/isB+KXliGc8MszM11VqE9NphAdZAhClDtZ/kuWV+higexIA5UoB+m1BoI4aT1K2BjoRE56yysqyNWcw145+jnt7rp53Ge3z+AQCGjxMXjvIis/jKMlMR+Zbk8LNz0gn5D27J663ysL+jstr9SFW3trw0ZGfBp5oAo3LLbSHKBGgA/p7efzXlo7tYYeF80tQqb15YF0dAG13dt6ZVGpvXhP4tDNfqT/p3/8vh8Pvh+7A9dpoqH0D+hxZ1t6M1AS/pfxAX25aJJ2fR3U0jfDgOwf9nWziwzNfzT6StYC2+sVD/JAOfhdCO+QbRUD/UcIKEmVrAPpPUjfm17OHdLXrbWWcuV5b2WkLiDR4/qxDsr4ii4+dSb9vNCE9SR0RFtYOVOpk8ciwMM48/B5ei2jEem0m9EAzD5k1ofUms3RP9JhHXyrrlYWVnsrqHId44nplVKZnhpXaw4cB3RPL3vbfSPfIvIMmhLUFfbK2m08y6wCfyWuH429ARdlqOItPIqXwMwQkmdrDAtK55VpqQsgse0WArMJKWfEZOCob8+t5uUFYxIsVD6nbfidlA6ntKIlnH5IhLHL9Z+0f7fg7sLDsNZ4knjG/Ni/7HB7R1LCd/V+w3HL3LeroBJ+GaetoUuBnpZc1258wv+R628wJPCHU/74lM9KDm+sABI9vFp8BxxPPX6nD7M4V0h7x4KN7arwMRbYmK6tD08WZll4AYbhjHbDcqmsA8g4WmuQ5LqDi/KUZ2T/QJ2QNkXNQdOHy0ryg0QQbrHYUbRGCPnAtW7PLefV52uFlDYgyAeD0RpZXtfRkRZupJAANUO0/icfu5a2FlUakA5aXqr05YUQUeW/h3PSh/itYMdzRN2/e2uYnj390fiM8KLZskY4c7izvG8EhngRgyIgn0cEsNYpW/4kaOb9Wh9Op7B9YR2x+5vyFfqaG+bTbqWcts7Rvq7dOhoD0JNqbDqiT1r5dYwDTgeMH/jJsDpC1XRn9nThb1RO6oQA4veV6bSZevDLM7UCmsnuS/LLAGBbRxLpRCOJR0oHh9m//2NIDCestPYtkhgKPgASB2MiF4/sW5fn5KNeOxpZHa1ONh+CHSDw3FpZTX7oHnzaZdrBo8STr6xKOoe70QiEVP4nWa3MZiiXb/BDmV2a9vv53cv6iUcmlSCvneck/HRGP1M5cb+yFcNlonBnOlMx0Yjwz76yx7HqPbmRYML9SEt2j+MSeyv6RbSJVue6xXrffookWTQcYWzBlWFi2uPrGTr+5PKEITaBC1L2dIRV5CxusRkqhVPaPXK8sLjRBf8flhWoyFk5vMXzE+Ut0D6KxLR1PWqyjecTy4fcDFfGEuoGhzU5Fsf0W82vzUF562CVJIswsVxZP4vU4QMkcPnG9Mn+34UyLsM5orBvVzsIsJggz0rnNfv5lQC3Ywi410rULZYt0aP81X1k4EX5CxQbEe4Ly8XeanumTp/FtyLsG5Q+f2D1TKtdrQ7DxrazXVremg4WFxZsVazHJINKzlI0Rvug9SN5g1FGt0Znou9EiZKUl1NEsoXuUvDfr1QTpiQjwWUX3yLKFDlYnq5M5l9KShVnqZOs1llvrHj7nBdP18zTAMHzgeuV/CF/Ynpw7fHKWaWu1dfzMQTBv7HAJ+fUZnmTGE7XD/hvkXWtAtUc8sW4sHqX/xLIDAA/S1t4nCuZxpdEDYYVh4fF3OH1J583XwaY3srwwHQ3E/p8ZFpYRklkn1AHLLaSgjpSM7ondI7unRkDwi3z3LfoHgDz9zgt2Gz5J3pommJDuJtBCYOHDdlnFx2xOCvUWcHgXGvZgkAJIK4z8vmFtZVl6lnjyjGYX/HnfxjqaDm367UylRidRWkTeecx2m8dYRL7SRgPpocnSgazIN+oc3Xj+hX6y+x75ih5w7Eza8S3zFepk8UgYNDVExItjeu+eUCf1u8qby+ETwgqNfgqhbNtbBVkHg9GixfNnwjDyTsePknfm9UqZDEZLyNf6SwFXWCetk2ni1T/b8bcAIGsrGqBt3kNl7a1u0D1zvdHuSSTTWRLLC8yvTLI45lRHSweut+ph7dpbOkqZrL8Tx7281g8L1xtlFRpYfCbd7nLWZtPQnnhDHejn//ie8xfafwpSOb9s6cl0Q5ON6dDwkrI1C0hPAWTZaaOtrZTC8Po/+7c+2XN9nCMh3jrUETQO70V7EFyv4RK2OphOlrfoHoWgDsaLho4F8J8k7b3+/n8t61VYrzG9ke6ZmgiDTqqdDR+iO8o490M7k0JZRVYxkvCmnsffWziRilAoF8aan02bH6Xs0CaQT+LfF8D0LLvvsF5TB9Pot6PUAbLC6eYWAaHGxh2QzLAyZJpg/qqmZ/E5eavuI7S36a2ULbpn7xsQT9QBZRRnLbebQDHcsUyQ0qAtAhravNRXmCdtwxPH0XAP7ek0ObD9ipuv9fySy61KbVwPVsQztXcICFKdes71miG3gTOIdKQzgry78t3SBC6V643fkl7XwKLBIJUamiDGu410YNm0i6fsbPuj5L3zf2gRoqyjdU+y3qoXxSYNqEmHhrWCSCc6WpVvKsD0FNzUpE5GJQTrFfIOlhDO4hBZHcEWK26WLB3p/O/PhDGft2tv2++leyaE5VptrP2HqBHObB4/MG8xvpP16hLbDNTRxnextcgC79398uieJF+37sQC0rOrFxpftg62+5bnL61u1NehEyO1JxVxabevz8bDLC4MKJNphFSwMKwMKzSCinQkSE2mHaY39Ih37zPWKw53LBs4iFFHi0fpnji/Mou/qBTSsz8aer87vbWyJStoDbVuTASjj5rd+ihvWTbQCC+NXUIgFXVqRUYd4dR8Kaw90onzC6zX0B51sHaXC1hbqZGehUZj4y7XAbIwnjl8ok+zLcA1WJufkHeU2mir2bvtgO6+kWMlM+/tgt7Quku1gZYpLlmk0EV1fkV97t3b3P5IEOsLbbtbHBExL+YsQSdzmv56YzoaAuIsFvzNEGT3TEcpvFHb/MzlpaUnhrkB4M49u2weXx7WGutbeOvcmFNE9yRhpvZIB7Fk6eBXuJmge5R8rTVRO7uIVdBq5YiwcPOj+EiflSaIB5lfA0Yp9FLbiy0IaZQVrYto6T2w0BpKp//0DxIW1slcUFxH3Pwjl2uv2OhwaPfIdGR6Zjwxbw1g9yAOUfpTs2Ak45F+I+y+lbxvpWHD0gxlC6dc5b1Zb9aZdSaLR4kLCP8ya494lv6O80ulUhZ6AR2PDDd///eSsf0e/T3yln7LhYXLrfl6qqOFM4l2D3/WwTj1JR7gbEso00HWG335Dzz8R9ou50c5/DbML61uND1JazgMsorLd1wh5TjeZRiAJlY9Mu/QPYlDcH466GA0Lw8JomwAQx3MuSvpIPHMfKMsrB2pWN3AjUjPdDjb+jZ8cjjCgovPWwviDBydbHwnYUFYYRHjey4vm1qwbK2O5jQkVoAcPzRhBJVlZ+rE7kBnnfotVS/tVFhoCRoRCsvYetAG4ESAGN/J8sLqgHUnYfWceaRTi5TvHrm8tDq2ItEidt+h9nQZTZzpogca4xFlgzAzHikr6+CwAAF2z+IkIudlaYKOJrOwUke1zixgvbX0LJuf0D1hftV8m6lNgL3earuTMutguHxSJzS7GICKOjS7gQa+uxfG1kB0j5KvrHuUsNLvm3hm3ls6koBUXNRsXn3DAjQinmkRdQAiZBHtIAX5WqHUgHSS/t47YIBAoCsincirEeHCNPMiyXH/vLdGuaz0VQRjHfzRNADz/JWxUAdtwsA2j2n11vie6ZnOAasjLiV/4xB3z0zPAJGv2zi2bKyOPgdtM1q4qLw5Cl5mZh3CzPW6Mb6ksG7NQQUpWF6oGxtqT+2anCAdRDK9h/BhTzpQI2VlHa2/Ex1a/fuZn+3/Xq/asbhemQuT44kOWKUDP09/wyx+FGtvrCjXKrM48uEVw/JSjWSFL9H0LCHz/LpNmgHmrUmBZGhnbbLojwCX3e3IlzUVc+2tEZF50QWOJpm776jJUVlcJm3NjyPMYp01KHVo9ZmTWn3y5OOf8a3ML01HDYtYMEcjfSoTz1yuHXIgBJYwvZX1hYUTIQ3HdnkiBDo0wVOdLGTGI2sPv0WcCD69YR0R59bMWQCL9HeNx+/sTcfE4kmM0B51Qpnw2/9N123UztLJ+XiQzHgSP21kBatLmjDcic9iAX5uJV2+08DJ0BaeFJ5ft+35mROw3Fr3RBpYANC5lNZhesN08D4SIDY/I+/JShd6amqIUeO/1Ytso7f0KN2DxIMsr6oPLMNK7Zt0x50wy+QL+/LtjfiVQffr69fXr69fX7++/gO/wv6//fvuSfIVy5ZhZjpAO8SF65VZMgSEWRCQDvT+MaytfUOEj/1bh7GIZJa9LjeivW6/C+mZ8Yy8heNydUAdoaO5CVubJwdAGmuAlRZNqmvuUHbWX7Bp7xObqq43gggGQt2VdqPxJNohX2nZWP8x5Fv15tELZ3jjH6GDyVn6e8aZJvR2yrtAoMH46VnqAAvwNwxDHal9A1VDbvd/OhLg+AHH31regUDZWpjpEH8rmQutQxlt84NQGWaWrdFgwv6O+Vrj3Gwjhg8EOXzg8sK88iqj0wGatQyAfK0uNwMA0uuR5bbV+Na1js0Rvxf/WE9fcLijE9VoLFfKyvEDoWDF8lK9JkWALBJPbKP11Hx2WbleY72GJYzvubwwWcVLm7qx9CwwEA2tAhsSFY/8/Fj7O7pAr78TAv09w4L1tnH5XOPpjAkv2UCMH5sIjrWJ6by29UahfcBV2pQrwYRSGJ/l9t/z/BKutluvDAFG+GyWBvWRmFvFCOJBpDjgYHUwp0FSqRHTG3Go4fpPPH/R5GL5qvYPQSNcQ7PeOi0TZeP8EZYJ1vn7sZCpDlBEjO8lb2GCsrXaAwSNrkhjYb5u/l3TW6kT9l/j+AfrniTkC1BpsIiwiJPZ/CfIKnU016S3eWFmnWx8L94q9feiHepozifsHhln5r2VrcWjaOfSJdbJvFXt75n3ph3qANddORso781Bp7C2NLDPWFAbj1dSkU6kogyIM8vO4lFcje+zBxcplp1uv5V0hPZ0yVR6lv03WG78x1r/SVwkp53TOL2OBszJuowznSEZzgJrpXpji30S/x6cG9nfSXu3nVlnbpDoHoCWQDarobK50EdPtA6uEvUPSKXUJtqziLLVsoHRB6JVewPoA8gyGdUhpkZYrRuTAj/ElheqnZNNGt/B4b7ugfMrjWf6lIu1DYekok42fBA3xTj+ViQTQmd4eQuSr9QEZbJ0EirjEes1pLJOxnrp1A2WsPsWy0trk6fK5gJF7L6VeGQ6smwRliYTLBPKFsut5WsFGVaut5p3WK/NvSQgKNt2aKcjLaG1OAvTEWFtAK9zgC2wbKxONr4Jzn9hacYFbnODizIMF71wOjDc/pd/9CPb9cmhURjcwVvCWaioHSDNVAZA7QHST6J4pg/8fXjjUJsf6nXAcg3rUCdYaMo1Gn1kbRHjO6kD3BzM9b1hoX9f2pnTSNKz1K2FmTQ4yOD+ci6qcjW+TtZ/CK4BBrH7C8+/0WZLc3k8dTJHKsPcHCLy3sKK7pk+d/GzOO/M909/L2SbqKcnOqnGEronfhay1cnKDq5uiwf6KdDEiccm/6RRCkFH86GDS+UZz8j7RlIa37GOQIATr50I5PgVAGc6eJdtyWTm/usQctP6aTKfwPujoWHzM9drO/2Gktk9WJl8uojlpaYnscg6mnYA6P5j4zsJC/OVamf+/acnoQfPXIzUWJj3jevoI7zprVhg2f/C+nWQuuzMZeQ+tS6TWUScaQF5j7JFI6NH1MnccjDvrey0exSpNMHySutgcZb1yupGu6fg044v/g97/qtGmwwzHS52cXvZ2Ok3qAPG92wS7I1d8BOziOmNuFQgHqmDufbTr21ta5twf15HpFeZX6Lsq/YmM2ECon+QvLU6oG6sbrW/C2UyX2M+f2JFPEo8+fDPAGhHJ+bKyrAwnjl+bKLLUBoQJ4We9KGdaITXYT431d66BymT6Qgd0H8SC8TlvzowwgqpbTrrXAn/UF7A9Z/cnct9cRBmOuPZT3wEjO8kX7gnLqPOt2pA93xhQvaNZu1T63QU//leHm1/cDE/yraViZsfJF+12bN2RqMo6qi1Y96jDrBgTgDLWzr5WxbmGwNhAlmZntksNjqDwFn1/lyaqV3GetXAzPQsLhr1SoWACeKZsLZf+vvQrI8S0jOHj5y/UIvOYmc6UAeElS5nnt5I22gX3XojFRe6Kt9PMFmlsXMnYyEVEPQPXG6NaGwdv7P9AdXB4pF5axoxvqcOcNKz35HuZYPQuNp1QJkwveF6Be1Qt7b/M9fryxZvMxtzNyynDff3LFsbPopzTcPC7pHrFWmIs4S1VT9S2d/J/NryDnnXZqjpxDAzX5l/2HAW7czpc+4rkQ7iz8jXgzNEfFqhqfERNMGvg7K13bfiFwSVdYBPjoMPINDOk3B5vk58t2RSGG7/9o9XXzuRhu3+9ME4EGdKRd4BbNWKHzperYSVLOweGM+NAgS48ZTU0UzaBAhsDG+f/8dja57S4cICrJjeSsisXRvqOAGGlZKZrxs7Fs0NBY6Ge0Xvu6uOTlOB+xRolJZtkzB8onukagcqpPhOhvaoo6aDuG9C90hvv7TzMSYQIIsPPMwJgd6ZNZbn1twihaXtnLxz0bj5tMm59m6Y4d+7W6HEg0AgtdF7fH1ZgCV3WAHcGXbFemNGOGk7FEplGY2Z3ZMsLwz2C1ctnmS91fQsYWVYeX5tjUdn0J7dASFjfmF2kUBftNYtaGe9aVolKrtHhlnWF5oOLJN5fYpL1jBLK2HCyjI6m9xMAIMJ6lY9rsZ5tJIpizeINr6V9eYyPrF2aFpnuGjUnFTqjY4rlpp9i1CHVpflSSyi/yQOUvuEwK9ANxAzQfSq85l1xFf/e3341825cr0xf/raAWQd8YvPhSAd2SxeduYzMCobw4U+vHGzbTiDloU2aDwEP76beyGQnrwYhGhbvRYM1ngxtW+3spvK9Pf009BdIVyV4qQGr5S9zPLZhoP7srYy6OYfefrKB0Kt1QaweUMLTYMSFrjZ2npj3kqO78RvoN23OH1lTvAJCy2R2hxofG37PpLLBBeC6Y0sLzXMDmyYa0rSM0nOr8zPDd+A4UxRlgEhQ6o7S4kzwjc/Sjqybpp1YTzSTbCoiCfW0epkLBzupHtGXKBdo9IBdEMjqYBBB3MKUltOFWVnrPBGEMT+LzK/bEuoDo1rnq/Uy6nukesLAzF8EOswfKCPVC36c2wEYBd7ufgGhrBi+Mjltbo1uAUDOL7n8kJZOHwUH67XwfZ/5vy6dUV+/rajbGXZm8VGa7LgvF8/1qx7pIc/1QkWDQF5AxriQo2Wd9z8xO6J7s8UV9QesrjzHoY7Of1GXeyoAwg4J0gqvI8PMzZvcH4FSwbDcEcYJTNfaThTO5SdX7G+fSzOlPLL/JhA7UGwDtj8zHTgemOeCFUmxJllAyfQ18k0WRkZcvO4keLTyib+8bPRr6IyQbQV6H6/htv/6o/zq1YoDfdNagNDXFgH0wQExJOIV5FrW6zxzOEj884JOdAORtQe6dj6zXhkWBlmhszNT0xP1N6b0MaeLJOlQxMBeLkUzpTCsjcd0N9xuONy2y6GeBJvSppwssPwQeKZZWfDJ3FZiXatqvXbtHsU7bFem2NE7pYoBeF8ceDwa7l6mw/HK0AMn6SM8HGl84/7R+Zt+198kllHA/wQaVZJZWfpSHULjUYQAAGNdDAn79RPnO6RZWOOPl39M/t75l2Tl/aPNDaxkT+kvFNR+r51v43aYbjn8kLdxcuH2GVnVK63tWzUsTvJzeusbD+7SIklpAOdCuWu3mVj1lk8MR4YFi4vzGf76TnU3tyEafsDzl+ZB0a4TG/6mesN6qSg+44ToA26/5PML/F5GhnnptLIW4QVdWcWMbwL+VrjieFMBP+KAMB1nen54pl78ZPVzmXFcLahf3V+H7CyTO06d4Hq1T8jHTG/pAU8/Y20y3VhHS09iYsrh3vmvXnN2+C7zhdkmzbraH7oGxojnJXDh8aBBJEOUieLzUW+Qbubn7m8MItwP/zrP2H4hDo0MW/3TKAt/rLF9MZ1C/CqsHugRa7XFs8cPiAdYeFyTqVLWIagbK174u57fPw3zW5x+lnm1+qqHTdP8pKr9hg+tVLXySl1QHqiGMu2OdXWjfZ3rQT2Lt/PDgS4YtSbkv5O1huDoXsUSwiZUpieeP2Nnr7E50uoe4TbaK1XtvlR1ut2BE8/+3Ul2qFMSAdKZb5q2KxT/ixh+Ch1QHcvZWsaGsvGBN2TSEa+cg0105F1bDEn3nnDey+l33w0unMoDNY1reuFZ0Hrbfs9l5vm3S4ZFul3WDqJFJbRpCLvjYrNj40nRoCF+crgxuGC4aM4OFx7pAPPX6mrBgGsN/CqyKRhzukozuWz0HrWdEAdIJluMOZKuO6R8xcWj3Q2SvcoZUI8MZ7pLMq8hWQuL2z7PfKugYcejuNrMm/9FiHYzkn/CxAc/hpwj3kiZK57N7WzdBK3KHOc3CmRTeG+s3Bu4IE7D0Cw3Np6ZTRM78Qfd3cvDs/UwdwE1hlGrX8adb22dJTxvVmkVOgFl/Jq3kGO9Myys7D7H/42HoQADUbmvQLc/kjtULawiHigjuZnQfdMKbBAAucv1X8fCBjKtqmlvEh0LWQdEc5cXpmTgwGUEdNb1qExT/QCx7G2AyKe/ca22kMHjO+aKZnfQ3VrbtrYdJrAeqtGpCdxoKORtU6NHU5cEMlkFpiexS9zEP2dlI2lJ7HuM1ZLHYxF3Gi2v2OY2T+SQJlgEenE9Vpdi24B41vRAenYDL7CzLzz5FNufpZ0bBgaK3ff2fzCTzqWnUml+5DWkXnfyOLOiE1HLC9VB3OHtzo213DtEM9SJuseZX6tLhx2ZzDn43ql5uc4DGWycKalRjV0mnU8++NrOPjt/2Onr0jF+E7Wa9MOdaNUGluL6Z7H5y8bAE00y3OnaGvfvMar+wUoASlbG9/z/JW6sKxNdCJAfzOIByl76x7Eicv0+JyI4YN4gd/88aRZS/R34gX7eq1ScPU1llsOn2iBUmid2WAwusR4ueH8CnVqh2k6cHmlDawj6mCbH+X8pUltX5SbdzlEDJe777RR5w2bn6V7ZN7+IgR2r0WPV5ACVtbJ4lGkcH6trJze0bGp+SWWG2gHEqxwfatF1AnOCqPSj1fQ01dZdh55iTKhbCy1Ghnje7nYZDDv7PwFWPn6/8TmZxz+wLLTsEg6NFdGGqjQ0cqI4RPdqMIpf+lIKBB8WNL6ZncCZG1EcO1QR3WB/e476R6Znk075/3DLWsBlJ1plHxl43vx+tf56P5xdAALWLH/C57/FViZjq3/0+4zyNYmQ24i3BC2vfnRCYG7O7bx8GQQdJ/kX84m/RxwwYB7MLbxN9niuxzR8lERIYU6aJiDDm2OFWfWzrpnmjSdovsCeNJKHS/ZXhfqf3py+J3bH1F79pfb18ESd8OrI4ZPguAHsaWDOE1u+72UrS/LNmjRAXVUi9b8ZcCyNRfDeF0Fw82fbL3i8qqJza+/ttNXXF6gv+N6aw13eRIqyt40Yfsj4xnaIR38evisnUc6SsjUhP6eywuzgLBKemLeWvfoSjuyIqys00V5OVMqXW3tUThuwTd8kLwz2MWSHJCKujGvJ9KJZWvpSWRti6p7Egss26ZC+WyiWsdLAotjWvj19evr19evr19fv77+g77C1X/3t1zF6Vjam3c86655kABwT343BysTyojtj1heObenNQQWG6vKgT4Q3QPDTFGOH225QXPlMmhv11+bU798nuZTaCnwItGneS4PTM+Sr4xNbADrTCftHgPYhAuu0kJAPEidzEODQgaIOpkNtv865Aks9Emp59qtL1090+Qa3lR6N1a2lh7FoaH1yuro7rMMmftvUTaf8esmspPKMDfp4uaN5T3rRr2/KRtIBgFLMLQSmLW52/rcwht5L7e/+nfl9DpYQt6ZSQN8mqWxuHrc0pOUvXVuMOVojGG4Y94A4PRWumdqRMgsW03P4g+leR2pt9sX8zHj6SvGuWGz3jv6lC6eCYE1owcbPjZr8O6RXlAvL1RKA6/cQthDZfLWpFK7hry7mNyDlxBMZmkLKTSTJE8Yc3lZvlIX0Olg2pmsjEfRwTShf2DIyHsLiyy3SEfOr0wqG1OjtDir9NyE3xY9psEude7l4e609gwrgKbSKBuTCuc+eReY98oiVMRZag/PrPJvG7gQPjvsvmWZ2Dz0cvMRyHstE6+/xuk3De/SznbfyXrVjMgsQpNJYffM7hEWm7eCJfSPzBtsfma+ss80IussHSRfmSw0Qd6bxWZSvtzK/Ir5WsNJwszNz3b6nbokiNrST2goG+segiMnZbIGfKVLKIbSRdN2Mb+XDO3h7jvrNdabZjzhuqW8M7kQlFxy65ODzzQ/1/a5ENRbQ4uQiv6hEecAam/+5edrayi2v5MZZWp+544TeHvU34u7n5StOfWjITGhUWOczlcHeAJpfyd1MnHzb4ObzTvvoMn2/UmeWDdG98lUOgLkQUGugwHgXNbuqTE5+ycf3aNMdP2cuw9sfnIlslIb089busZvXFvfmfdmEenI5YXWHt2DOBHAT7zmaeIZvgaN2P8FT3/DfGVO3w0rj7+D6ztl5fqiWmqenxAAl4yP5B0wtEeZcBkPIx55kbU1bLN7FHfmzHsb3kuYOb82Te2hdI+NQgkinJuhu/u2rNdtDRNcr9onpXL4xPmV9Q+eEgCL6B7EdbX+9fqqE2WdUHba3wcHh31IH67//o/NCjAg7yyeWCZDhJRG3XPuctmaXIxPLAkMvr7zzspWXf7mJ2N/z/TMfGXagYXLq+YzEWZxUk2eJO/YPVJTk+M5YVFW+vrWBNdyWoBjBeM7ic0yrg0tWsO41+F9dHaN/9tNR9wtDcoy4fqfMHzC+TV8Tt6mxIVhoePCfid7iklL5HVDgY0hwARSQJDq5m90eMfZgz5O0x7r1SWPR9A9ynqr2puBdafxQJpbbrRABx1aYEn3xDhTB8jK578WZ5q535SszWovrKz9RWxfUTbqw/w6qXY2vg/zK/X8mDaN762O1j2EvFcA+z+je8bwEYc/mPbQAPf4MbbxZn8nfoL7fshXuv1WtGfZWMiksozY/sjaNV6QN9KfSbd1RFwohflKh4/BWVhOGMs708HigdN71h5uuOKGsxDkXUtegXF6I7VrxhbOX9JLeIElqx3KBHefa8Z6GeuNf0zxlelGQQ2MFYRZ6mDpKHVqqfCfL+N4ajxgJ7nFs3g8kkV4WItU9vdStlY21qKqTtQEz4bwLMTTb62/b+xK7c0ChjvmK9CwvCRzsxKWzPmV0RhP9FFT9ywe+9Q9Wb5qGYxlQljZnv7GywJj5f7PPH8JGtKx6U+ds/MZOy07jSdefYP7/9TcmR+EdXCaRjzJZ8grnag9uieu1+azt2YjubFypVBOb5mOXF600ZRTCmGX1B/3o+sVSp8E+zFae9StWjQn3NcRNJSxkXHcVsNSIz15BWCereCF1CXwu06uo2edGtPHoVr/UGWvEFi07kGWl8rPIfGEW2BoB6LpSfSyispOWeVzBXz7f3Pdt0k2gDra9JOYtFlRvq7qEQyh5Rf4TMEEfu45SJv31tjJQLnS7fdBE/IOZXOx07TLSnMex4r+gW6Kika7b/Y/bsXitk8+zvCt4QMk14rMX2g8SaMgJViH8R3zldvOGojuPjjSldzGbQEr8rV5KFQ7FQdob/HMeES+tjC3kdXwiXnv5Emrk1tBWjpInKXs7CICAcHm1VI4fGQ8EkTdmLPb0rH5/NIghesLdWaWk3RoSE8+lnPTisZI9GojnlqNa53pqOH1f/5vCbgpbzw3qyLt0T2If3fxJC4k1nb9Nu8yNxRyC20QzlWXyvmrmg6Sjoxnzl/o5ZG0cBr/aWVn1Rm3uXlal72GmXVSn6D6bmmcSEEdrWwtZGpk3aomDJ8krCxDG9DFIxveTWx+lrx3e2DGmfNrLLdt/bmkf/OTpGdaZFiY9xayB617sUxWNCeuABD9vazXbiqKOsLH+3VEeiYNZYOyUyd0NOKN0FmnLNTRmJuhSN0qAlydXkerW938EJaXVgfUznxR5q3pADfDcGZ5/yD5ytKT20u7TMrF8NLfS3qSfGUaGwmwbC431koq/EdZYNm44d4l4qW2dvD6TxjusF79Yn4slRbYrKC1OTVI4fLCQuZ6o3Uwz90KKz1W1flyXpbGM5eX6hwKS2h2NQnzK8emKYXLy2pCS6ZjqyriifNrEwOVmx/F88FAxKO0jK/RtDcdjcVNFaEXQ/fWrxgtYvMjl5fmdbTzSuK55Qu7FsRtWC3AXdVh8NAwb+7dV9jXiXXw6bFfvUZ0D5xfq0n7jW4/45NIJ3O6AmP7nWgi+EtkqvO4umeWyXyQUyeTlf446ggng7Hy+ms9/AHT20ZSCpmn31icadIkbvEk6UQPcGtUY6NUnL8AjWHh8JHxxOWFDR/E58Nla/EgNNbBtEe+MjfT8tMwv9D+g7g3aB2Yt86D0vFNcDmRVFoyyRzfM+9NZrELl0GH5oriY21nhUiFh8O2r85tA3faorl6J6+ayxPdOMejYGHUARrhM1cQZaeWzFnmPtv3dCUHTnRoj1JWiQtrbwA2P0p65nqFzU+S9+ZKsu5BwkxmHn9ndetjQtBQrlSDWwexjo2x7UVJ8zxE0+S5V0WdzGeoAGAc7rjeaJmaOsWZIN6uOSPD7904c35hIaNOjU7sXkHpwFDa0JrGONOJDP29J2SClfmq3W3do6y3pn3Tn7mjvJ8wvgziSWR1WSHqhHytHnEJo+9rb3zHD1huGlMARN60sb2PD9FEbFyvTSpkpWso62hhZds+g6/Y5pTfPYhbCoHo7+nNjDcY2++ke2IdXdCCOtn2B+memkN/3Vg4yuc8ZRjjWfiH/+l/hFi6iwDKTlEBgpXxwHytACwpLsMlLgSgg/5/7L3LjiVJkiV2jqiqmd2Xu8czX1X94PSwgVlwR4AAwRXJmh6ACxL8CP4EN1xzy8/gav6AC2LAWfU0OZiuqZ6qysrMyIwID3/fe81MVUW4EL0WnpFZ2dXN4fQswhBweJjbQ01VVFRU5IictiY9SN3qaSfh4VFu/yYefnYqrh4NwZCJYHIMAHRVIeAk8U7yk4poAJDpbI/uiAOgm4pKejQ+Nnp2ZAkPor3BWvUOX2Otr+E21rV6IXpWWq8cxdaVU/BENkSVh6ibGm5D3XmtCSIYgslDhELXTgHbltuFEx5F5CC6q5zFaO3D91JXimgojHcBQHlaAKA0KURSAHIXdVc5SsuC8q4Dwl5YWXa1NdgIgxylbmtD5QEQk33QXhEMJ6ZkJOMkPiI81aJvOVvaLrGVInvJeku3IT8vADiKdcoslk7XeVeLoUi6DvmitjNRkQWdcgztYq/wL8YxOHCLCiP0vKDwFNt1x6PBsP5dPPzjGQBGASCzOIrUOgUgh2Bitq4o4r2EwvAQ6kYRTB6C9uoj6yaZHIJ2CiDeh/K0cBIYbFD/XvZqY0BfMQWIcRYA1ilnsaFCCSUAFtqqcgyosG3rdmRhpm0qJmmj1qncRUtmwRCVxwDAknFV8JAsKrMAkIn6YrYsyPL+pUNFZRMqOogDiMop2FD5EG13khBlEzO2SWFiPnBtcAE5BF0pK61Tjm1q2OBKVNC1z0cRBIMC4XQegAGt4pHwbNZDbMMtQDBM4pzlOCtmgJLHYOvabunUZmlTb1UBv8X9s7r0p38asvgDAaBXGKBENIyC1GQYWWQUXcbLaME4swmAb3CSYRYYEA25CTYz7elsh4hwwiMUstAXGKOluwAgP89yF/W8ILdekqNYNChtV5DZdJcnLx6lPCmt+Tex7OrwbRw/L8wNUxP2wkJHE4B4/i8DgMv/vMooXvi17CqA/m3I21ZdlJkusf4KL8VZN20g4n0oPqmjdZcBwPy8LjCZNtMV4SD1WQ6XXT0rLO4MUCgX1erhfXg5OKX11b8r3LeJg0KeegDSWB+bMJxU4ns10uSpVRVoMxeQUXRdUSiT6Lo2TajgJNYr4kkRuYTPAjEQsg9wzWZwjc1C81lMMIuJcV3sGAEgKffBt9fLe2GAfIQtfDw+Hh+Pj8fH4x/64H/6v/8vdjI7tIoENaOIzVNMXcEpceLxYQYRM+PyO4BaJQQFUHKA18HwTR2gSqBdZsYQ1C9ebqlVREyVfHSjKs3ov4TQnhNj9btU2yKq2h7oz1+aVIqkVFVFRP29ZjQDieV7lyeYigS/DCFYLRKi1tqaXUvo+lxKCEH9q5emklarAAhBVUm29ny/u7icXNrgZ0oR72Fr1Xy8Y+Hv9X4j4S3xTjDze81PxqjeS0sP+O/e8z6Uftdy+BlvgL+6VvHvWj5wuX35fRkmP1Ny6Pri7ffLRMwHS5Ux6vLtIqoq/qfHYkA2EQJQK/1DvHMeNVUB+Fj7sLpU9H32bn88msvTTu1REn7Z8jtpIuaPzTn6ebN2i0vXIvP+ZDOmWOccUyr+V/+Kx0PpfSJii2AvHbi0yl/qr1vE0l/k4uQn/WNFdHnF45d6C/1Fi5D4qC0zcRFRH5FFyB+/axmvWsXFeBnrD+b1IrQxqBoff9fjwVpm2WPJF1qp8mMzTk7TAQBi0GmOy6xZhjtGzTnEWPMcAcTU5n4pEoKVHNrJIiG6nBCA+XCI+RP8Mp6mVTjtsUoOElSrhFhF7P1lSgnqkz1PEUCIaoDQ1Gi1uSJ4Sn+RUE0FQIi1liAfqDUaxbxXa/EGF5+Vtb5Xa65MHitAH9ZlEE+D0gR7mdc5h64rpQSfkg0ZQoSgLiQ+XiedyUVEF5GwVpr8/az0KRxCmyYuaYve9mmCR9rgscD4Kx6Ptb/u8WRfdObyXn+IlBxIlBxLjiFqnqJ/VYjVT5JWi3j7/B+APLfzJEqRUoS02U/6ulJFq7jiUBUSfkbE5jm6PInYNKZpTP4o/xL/5yNHWp4jiXmK8xT9vyHoPCURFdF5jKT525d7SUxjCsGmKcVYpylNU/J7RayW0xq2tFDFm+3TMudAaReL2DwmiuYcfHkzgxmsNRL+FSKtnTkHb14T91PDfP1YmueXLa8oOYRgNQfvB5/npYhWAVCLZz0w5yCieYoxvr93nuMiLv78WsWUWsWMZQ7e4JLj+0bO0X+p1T+nqRUzeMfOU/Qnk+bCYNYeu0xjirXLxuSX1dpGDda+1Bcq1yNLg72f/a/+0jzHEMzFoJRQK32VdTEoJSzjtQxiznHpYRcwn43zHOeTZPpE9bZ5f57EyRaRKCV4A5a2uSr0lpcSSglmHKckojlH0i0D8X5Wbb/4jf7q9nNK85RImycfIKq2613V+nctcyfnsJz0NiyjubQEbfm0aWoNzqeh8cd6S8zah3vn5Bz84UvPL2f8mfMUl8seDQ19bno3AsgluMlixmlq3+gf6N84z9Ebs6yd45TcqH3cmapSi5hhnlp/zifh9OF2qdAqPrlybvC+aUwx1nlKfnGINcTq+rdWlhxC0BA0P3QS1NXaPEeKUUyrmIq18aLLKgCtbPNCjGJ5ihK0lkCgzMFPvjdxKttkUYqozoG0cmpJnmJMNR9TjDVPMU+RPnmBWsIyd1wb1Nr0wEmxhLY6ip2mZ7MSSpHF7K6PRGUc0+gdMjeNTbEyxzLHRduYoeTgj53nuPw8SR3a1D6pdxdIb7CI+jQ56Y320xvgSt4VnX+FK5b3z6xSqy8ubZn3uekC4ANdK5uGKRKC8j/75/9zriH4Aniyy1KocwmPDVih1ZMpB4BAVUmhFpXoNmYNPueDaDktvMuK5+ddoFOspUoXq9/yeDUGcFqxxRf/xVpclt9SQpdKLsEvrlVSrFXlsQG4WIvTlIY+A/AmzXPsu1JOFqXb7I9NVwAiWqvEoMsrlo96bI1+sHfxX2JQNwP95A/3cHi0p3RVCCClknOMsfqn1e9f/NharFVSKv4VS/NOBpSc7D6tp+59/FE5N8Nz6Si03ac8/m8pIcaac1heEWNdumj5ar/ejUfvky4VF6HlshDUn6YqQVp/+qZk2QfjtFFwFR9j1dOk9SfHoPW0UZim1HXltKEMeLTDc6FarNEu1nFOXSrTHAF0XXE12p55Mut8vB4/7fE+ftnIul7wix9LDh7tA5ZR8LmztMRPupjh0bYjio5zSt5pp88MovroMt9VPJ4UQXTOsUtlztH73O+qj16x7Dj9/DK1g6jh/YbMe2l+tNfHo8lup90JgOX5rhxxMmx9s7jI57L9/b6rQB43Qx/ts3mSlj7lKacUaj2hu5djUTIAhObaQ41RtH5/B0bggwmrp4EDEIN6EvPyXYt6cRF93AMp1FzD4yFbemZ517JBJOBj5DPO702hLh+7dKCd7rXTE/yyucQullyD69ilo1ozaMtzfFz8Xte6cwl9KnOJfvFyL2mBVtsWC0uPBdrSvKLiD/fHLsJMmnemTxPvn++7ndyktsfboMfeqaXbF0W3TDo9Cbm/2uddl8o4pfjnz988HlG/aPkdp52p0H7fZR9c/MO/6veFZunWHz3/E1f+4bf8vmPpgp9uxgeN/6BDft+9P3rZT5x8LGEf9N6PNuanH/tBL30wEL/vXX/I8ftG/4fn/9bn4Mck5PGgfDDxfjheP7zmD3/pT1zzE+L9+yTk7yeKH4zOj16A70+9v/WlP/y6xwP0QV/9cG7+8I0/2obf14d/V3FqjYEpKDjJAOhnPrjAf1muWf70+L8/cfyELP1Qy31w/R/+FY9b9Ycfy+c/7gd8/zM/6Jbf94ofdsUHnfbDPvzbm/djk+4n5PaHF/9dz/B//D//pz+wcT/xlL/1+NEVDn+wuD++cWnDj57Bj3XiByd/4l0/rV5/9HWPz/x/XCn/Qx7/3lv70yvE/98984E4ffDeP9Ca+elV/4fP/9HX/T3W+L+fNv+7Hn+IOnj8p6WRPzz5H9Xx+8zinz7+Pcr/f8hu+Yll+A+Xvb91Cvw9euaH5u/f9fiIoPt4fDw+Hh+Pj8c/8BH/728/J98jbdy5WOt7MM/y1yUakVL1MKn/abnFvYePAUILimNxNbpfXpUp1QXg8UMkzwJt8sNP+vX+uobWO4EdFmQXHnl1F2QXHqGh8Mi/v8Q5lpDMYwDVIxCanqA7YQGfPEbTffC0JeTwOAq1RI8cPuTh5eVFzUcv5udP7z1hb04IuuXKx6Ca5eTi6n0M2DsNqy2BtwVAtfTe48CeX7C85YOvWL50+erl0xZQ5RJQXHoSJ0iF37vE0h5f/z7CcephD1k7jOqDcXSM0PLq5cZTyOd74Rl839G//L4Eqx6D3LxtS+csw+qC93holjnyAcxvies87gp9FGfFCTu0iJPf+HgQl6H0CbUg+j4YiNP0eX/78l//ufj3HS/jbX48jjnH5S2Ph2x5qYeUT/3zfogX5bAEEZf+WYKjy+g8xoh+gM3DKXq6BBiWYwlCPMbongKK7wG0pzc2KfXf/eIFaeZK6XEgMMY2rEvA2NvzGKP4QVT1A+Aivi/Ayxc9hpAtQLgPegDfkzp7dPv7UfA2h6CPkYp8hIjDI0Tu8vDHo7OgJZexe4z5XAb9sVB52GwJ4uKEHnr8jcvTlgA/TtPK5+BjMPPS2kUbL214LJwiFqc3a+srDwFoaZjDaxn/NHMWz0ns3sb8xcyrpOfFk/6maHIU3VQQKKdcS8D6Gq9S2dX1V/Hwj2YAch910HgXypPCSQCEvZRdRbRZGe9CeZoBhJtYz2r3Ns4vSryJAMqTEu5C3bVMLs8ixHm2MQBAp56RB7H1v+umP5uHL7vxZ3l4lQCMfzTLTXSue1aKp+X2ZmJhH+quDt9FAOPPZo7Beh2+SdNnuX8dAUw/y7yPtqotr9P7fRLdFR4DtkW/6wCU55n7aEPlGGxbAMhdnDuzqCA4CRollA5v4vhF7l7H/PMJgH67aRSffeUh2KAAmKWlTxqs09VXCcD4Z1P8rstPS7yJ9eUMoOxjvJd8UdNVyE/q6lUEMP7xHG5j3dZwH+qTAqB7leZPS7yK5bzKKLrkms2NwDQ/KQD613H6rAxfp/lPp/RNl7euRcw8odgAZbptWYSbv+n2fz6l77r8SQbAfQAAQdhLeVLS2whg+mwOl52+mNM33fy8APA+ZBYbKoxyFADTSuUouivxMhXPq1V4DmC8DeW8tgRMIjxIeVYmrySPlhCOVeVDtGTxNgAo5zXehXJRwl2oZ9XlE9EsqeyDrmu4DwD0ee5+102flnAf6rYJVbwL5UWW+6i9ukgcPisyim5quAt1o0vWMAjOArHuWlxIulcp/3zCbbJNHb7qAIxfZE5i4ryOLcUvXYV8UVev4vizMnwbAYyfFTmIburq6zR+UVpl4pnWmYmBaA1+Mcvbrm6qJ3XKQQC8TxtfNHYwzmJJ01XMZ9WfZoPG66jJ9Lyk1yk/LQBkH3RT03UcL2pLyj6rYS86mA21/7qbfjYDWP22O/wsr3+bDn+a5XBKXUy6+9fd/T+Z02XyVOjdv42Hf1SNFg7SEsaVCCaHoNsiD1GbYNOiUcmZuq0A0mXMT2pLmQRa+qrnVPa6/ioe/vE0fNkDGD/P8SaWi4J6momdelbs+st0+HlpX/FyHn7TP3xWQLQM30JmsXXBGBDME4St1/67NH6e47tYXmYA0yjMgmCWNF7Humvp/OE21ie5e53mT7LcRQB6VrrXaX5WOTWVSKVFhbGl6J6SzVlpSVGaxA7fxfGLzEOwVU1X0edd9zbOn+ZwneqT3MQVsGCQU86pG0BHqbsqh3Cqg2BoOc7w9G2fg7apmMVTdLt3YX5eXcfWi8J9sE2V+9gGUQxKz8huXzFLm3QvcriKAOpF8YXAKzJ4S1rHzgLA5VDXGh5EB5OJULoAyCh6VuQmWm9ykopwH+p58ex4GyqAeJXK05aV3L1K+dxzgSkF/OP/7X+FnNKzFf07OX5RVq/i8ee5/zYBmF4WKq3T9DZ63Ys6qCdLy1F0pek6ANDO6kqZRQq0N5/G1lm8C+W8yCFY50skWKmbKvvQBsAne6H5Cteriw6zQGGbGq6Sj0TTX88zp+C96WnhzGyi7ytWNBuq3EcjwsRy1gpdeUvidRTn5z5XS8pJYKQiHAkgPyttfTWitobppoa7WJ9lH4/W2k491bllRCeVfaCirrW7CvPLAmD1ZTp+UVp9Dk/JniTdSt4pldqrjAJAV+rKCArmNkv9DCdpudMAK/1kfJB8VuNDAFA3asHSTcjPsyecM1MmqbuarkJ+mXECr8MQHkLd1JaVLa3oX8sVd+vyQbQ3z/OHon1aZ+Yp/dJ4mCwYM+kVz06a0WhI5gtAq1MwVBjTdchPS3gIda3wdX1TeZQl/dtTu8NddDIkLw8Rr2J5UuJ1LC/n8C4BqFsdXsXxZxnB+m/S9KICSDehrqxNNsNSs8M/Kt6G91UwooX7oJ4z/ywDQBFWMnP9Sh7+LANIVzE/z/FdKs9zuIneYCrtVFLBVaclhXlVBQs30VPr412oGw0PAqCc1+4qAJif1XgTdLDuSsbPi6sJjQDNOlsMBc5i64pK191NwJIN38Xx07L6Jh4/KwDWX8XjZxVGVuhKl1lDpa3q5pfd+NwA1G1dfxXnMytPizyc0OFrdQsm3gUv4tlGliaz6KrG2wigbGvYh7qp8T5o8o81C4Zk3ZuoCadBpH8Fa6tTYNHCXup54RgWGy4cpG403UjZtOqOdVtlEjuJtI+XDtpdhXyhlpTHNrX7N3F+XpcKF64T6RWtIsLINoiz+GrdWExcdSpc4coxtPom90EHZaURrZ7FLP07KWsrW22wNl8SYlPW4b6VZenexvlZ9Rnhwzp9nnkI1itnuvbwWQzF0iEAoEi3IT8rsg86qBt2LMhP1KLKIXhdPijKWQUho3j5VAB1UJlZN+p8N60eVTB/+CInEJND0EHDQZzE0sfa6y8M38bx5xkAMtG36hher+T9kG013If6JAPgGLz4QrqRfK7LZU0+86MdebTHShK+TFbG+2CEr+UA8tYQzZe0RtjaabxqFobbKK7ZtNfw/L/6CyOGK4mHVq1LZrEAOYrX2or3IoUslMLVa6Z7zs8sPITuRuJR6qnQYXyQOlj/LjTmvYPIzKd/JeNzdO+C9sZZXHlpr1Buvg61ZyudeSS1bV/6G4kHgcn6lYRZlEwHxqOEkXJ0WkbE+7D9dejfhNoTQHctJrDOVq9DPNBAFOluZPWG0zMjQGV8CN01a2J/JfOFaULcS7oLZafD26BeMC3AEgD2byIL04PEo2iyeAhUMItMEo7iFaa7q7D9Hfp3oawomZwlHmmRq9chTDQRGQUB4SBeOFw7sDLeSdlpupd4kLgXjaCyuwleqFtm2bwSI8Mo6U7ivUAQZsokMkkY2V9LXcMroJsTMGeuvgtljfgQnMw03YU6WLoRCMIh9Jch3Tm7IPtbYW1E1N29sCKMIpXpLgBemhrDW6mJ/TthbRzArJRRpDIcxevjAfRyyGGiTPTPqb3JLP1b0ehE160kV7wXgPFBJDOMwspwFBZCW+nueGSrY2SQClTKJBCwiMzkLF7kLRylnBnnlmUVHyQcJR7Y3zIcKDO7mxAPjAduXlGFzLJ6QxMJR5G5VbuRLF4ZD5XDt3H7pWiCplZc/OxXnHfS3UhNjAcaycJwFBNsvgnr7wj6lyLdB+2tex0R2F2F+CDAiXeuIszipb61Q38lXq7QSJkaLWYYBWT/VrobSbcSR9YO8T4MlxKOEh9EZrIIvRLxus3ktJf+xln7qD1oZOH6m1B7wCi50fhqQu2dK93SnTSW8aN0d9SIOHK4lHTPz/5FObwIkiUeCbC/kjAyHtyakfTAkOnl503QXQUTOAkhgOF10A6bbySfW/8uxIMYCAJVhteBlW61eF91d6K9efV9qDj7sw+fSSvNWbfGifEhhImb34X+nUzPNRzFAtKdOCVu3Dc2ayrCSBSRUQBKoSXjFLyOnP+UzPgQpLK7Cc7HtnojeWP9jRhbX1lA2Vg4SLuxOCtgsIjwEPorURGZxCsZOoGyM6A7x5WMMrwVqbAEmhM6S5i8ao6zSgaplKPoYN1NYAXVq5pavAtpL6yQgrqx/jKgcv2dWMTmG3a31EhdtZI/8Uifd+E0HWSW1Xehu5U6cP1KWFgH9JfibKUaADI+BCmskcwSj6IB6TZwlnDk+a+4ekPUUHuw8sVf4vBCfMlffRddnNK9v4isTA/08d18HbtbKTtzTcjC1RvxQnzhEGSW2tvqjdSOviiEmTDEo7jNwcrhdYT4noFexF0qh3fUxPDsv/6nXkjUuSydGRo4VdI1DFccP1VN1r8LdYD2yOeNNC8eWNe2+UbSnvOFsXD1hl763ondpqeQ4jwLsGgWDRHpLrBKd99oK53P2NBIqJyzoOyqJsYDXRcPl4gHHD+xMDOM0ji+1ujuWHamnQ2XXjwK2mG4pMzMZ5bPzHonn+f5v+XxU3Q3UlfmROb9tUBQB6sr+GykMt0FJ8Y+1eJFXZubKo27c6RUZ8fA+BJ5h3igZNb1QhTLOLWqw1K4ekMpdAY2Vm5eiSYiNHbFhcKgbE1GSfcyPXE2aNQV+muWDeLYqqOGidahbFQKN1+J19hnZd6Z7zjTnYSJ5UxBxKNAsPmW0wuvoXtiqQJaWdw9dWhVtPOZOmV1XZkXmpQCL65Mg/MZxoNI5vZr9DcYX3ixKbjSSQ+UAi/vrYPZYKvvxEsR81RJGkDZmtexLTsLE12TsjJkhpH5QhsHpYBKZ8MDIK3+IdId56dVZsooUhqJHwhNmJ+ozEJDPjPtMT01qU4t2ljC+mtpxBwRkhkmCZPkcwM5P1UpjdWibKkdnGV49xuWDU/FZ1m2mJ5idckwIYziRVpZRHvrbikV8zNzEtgwY/MV6kBaKxhvERbpXIIeOvGyv/2VeMldABAOlzx+ql4Dm9a448KMurHhbYgHGT+tFmkkAd/ZpAdp9V4DpbTal1BEnyOR3b1oWkx+IHD1huNzqyvc/6mASPd0QtLW8wVezzfvrL9pRIs0skBX1t2yrJp5KwVOHAxQO+hKZRa3qPrrRokimXWjdQB9HAmp8FqudWXxIOVCLdnwOnihYTgvSYeygQ5I96I94kHCkWHi6pLjS0sPdJ7y2rs4QzKdofXz/wO7L7H/jHEvrp20a8y2klHW2LyS8YU6q3LjPga6W8k732HAZ4FXX62rVmxNe3Pd6LViLZkcxUkXLSIeGl112en2K5meWTwItCnfdC/pwHxu3a30164wW+OlcHpR69r6t0F7Y8X8xAhqdOp6uMuByv5KvF67045Ysmd/xdqRFWnPskIcm2nitBpedNWiaWdeg7hR8GSKIozMW+YtnX/dAspKdl9iuKQmljVWr2V4yzBjvmhUIBZx9hvJZ3CyEifPtIjhneQza4apQgrSg+QzCyOdmyPdiZtNOrTSt7WDjwuNm684X7TWxpEfEXQfj4/Hx+Pj8fH4Bz7Cy//iL9yEd7oH5zLwXbNvkobLRpYMMu7JirJxMvlWh9wJz7s70R75DGXtlAonc3Ld4AMEaXRHk/a2+QZ1YN6adkgPogmhwIjujk49JxMRYBFlbXmH+RxOAr39HY6fWDnXujELhMEE+UK1Q5hJgwXWtWkyqdReV69C3PP4KeI9QczP1M263W9x/AT9jeSL2l2Fl3+p229s/zk1srsW7UAFBHVjJkx7CRllhe6OkunWbtyz7Gy4otPnyCzdHSHobjE9abv446dKZT4z8R4Thpll1WiZnPpIO7SwTYIo3PVcttZItQkvBe9c1BaxfiXaOasbLZrzuTkvg5sb6c5LYrPs4B45mrNG4ZP/y+7/hCBY4N6GZrMcCd+SOr3CQSziyb/h6g0Pn0MKCeiA6Un7tLNfy/TULCEciUCL0M6c58YEq9eNU6MV+U9WNy0EGg/iciUZcXSyL4sj3RtTh2bWeSfUwdKDxAPDSGdvk0nqWrdfSV0BwPxEy05hdPKn+am58SiFm294/2dVKttGMKC/Fu0Q92y7PedeW5nzNNIgmbq2eC91bXVoRfLjkU5dqJ0ZWQfECWUNZhGFFM5nVjbWX0nZmiU3FemMfLWHVKd3O9HTnaoyS3WuB1pA2Vp6YJwwvVC2ot2MI30HEEYSdIaxxsY0Nw+YFEolC/pblpW5b2P9HWsHHWACBIQZ7kRKDx6EYD4z7XD+K+ZzlDV0MKmNw6WuYBFxL3WrzKLJ2yb53KLzp3Vw/o54ZL6wuPeq840B0mn9dGgkaU7jZuvaXUVLgCDuWdeIR1oy7c3DG3WAzHQqMloTcid+7N+JfwUE4zOjcf0t6wALIJ0dTQBqZ8xyfMnDZ3QJ7O44n5mb6lJRNubMb26tWwRAXZlT1zcgsLGumqILM7pbur93vtBwFMRThMwIYvcl5qegOi0CnDAJyvxUa4+0pxT0V5LPbXqu4SBh4vzEnEHOyYp8C0hjPEhdIYzUwaB0bkPvPd/elY2XwIYFIAIB6U6On1rZPOKSEMQDQ4YUJwWHBVhn6V6kMJ+ZzEx7kcp4cNI/fzvSg6Q9Hv7EpmetdGiYuP8j1Q51oxYtTAJyfmJxLxZb7zkbYZiZz23zSpzbyRmb4sTmMtHm4agr6Kkl2sMi6kZlZlkDgC8T84WF3f/w3zrrnZ0cI6yMe5a1OZmE82uFowBYvWPImC8a2KOuLT2Ik4V093S3T3mi8V4gTTEt7/N/FiAFIMeX1l81P2ObUQYnHKwDwpEhk8bNK8wXdAI9Z3IsG3b3Us59rlMKtTdL1t02dwcNdbAwcvs15zMA0A51MOtQNtZfB/e5zU8oMyzChP0N95/K8YWIkupub9+ts/a+T2+E8/0VpSBMnM+QDpTCvLW6Akj/wP6Gx5fmXyQZZWvx6BtSAI2Gy6LTZZpMpMKFsinN3p78NftrHD4353kCUdamHdKe7jjOZwBpEQTcg6/JGlkDIYV1bS5SrAgzJIPaGN4MoQ7tGslMt0wH1o6WzBII6GDpTjzmUVbMO6YH4kTA5f6B7jbk8xPD49hqxTsnIQT9OxmfWz6D87qGGcOl1J4ejLTYmMcQUNbm42KCsrW6hvUGwMmN/NPc0eefVjYgYBEa6Tyn2pt7tBvPSqbzQMaDeJiwbtQ6D/bSOWotNEd0mBpPsVT0lxIPLQxmHSzAIz0W0QRMFtFF3jn7C2Fsayfg7Ld144ul5Z2VtTlZlxtkq9eSHlhX6O6aW8kSWAkizMwXmrfupCKVm1ecL5AOzFv3jkJmaAcj48gwNRpcE9S1dXfMZ8aTC3S+sDpY3Iuz/J1IT5Du6a5yBNCgQeYLk0oIZKKcoLBlqwTrWl1dWoIH9i3AOmx+J90tp+fa3ZGVdYWn/9qcCCcepWyVlWWnq9cSjyRo0aAS96yrZloBdGYpKoa3IT2ITwcXP3O6IMHwjizMF8bK/gZhwvjC0p7zWePVhQKG9OC6mMM7lm3jXRyuWVdN0ft0i0daxHDJ6akNb8QdZQD6d+Kkgk5h5ULe3YoTROmAOsCI4Z1Qke7p8mAR/Y2Mz4yV5UzdTb39UuoAKC9+yfF5c2xWp7S+FTvRILlsa2/DJWtHmU/8tgEALVrci2sP7WzztdRVYyB0rWQBMHa3zOfwOIUYNMAtv/nCytYcXCaV4UDJzeXYX0t/g9qh7EyTOd4vHmT7tdU1HUCb9mIJwztOT61xABpPVKXi0RNzciOSFXXd6A2bA5PsblkHqwMaE5XSoknm+pXMT9xQo3t0u1spZ26UoWwAIDz5xS8aS5jAg0gg4ijxwb3PzDsLuXmH8xZ529bb/kbqyiQj7SWOrlJpEWWrMjPuKYXTCwVbNMUZ23wZAB1xh4tfcniHvKN2tpATW0R/LXlnw1vGEcfPLD5QZkJ8oUa+0HgTZRTJdNs23QjsZJhX1gGsnJ4g5Ea06ta39QZrbKTpQXRAWVscWbbIT7RsLRzFFdDmVWtMupfiWvue2mO+QD5Df8N8jjDSKVwhWL2hu3r7azqFokWsv+P8zJzT0+3u2mHziuPnGiamB3Hzp+zUY5hOLXp8ieOn6K9DI1IEPFbk3I6rNwgj53PzjSx4MtsFUukMtvEoZWMQlBUIWoQThzuJHyuchc+Z98rGADrlNkAT9lciMy3SveQ0LjSv3uD+nThPqO99y8a805zi000B5z+sA5w9L+7pBrWvoMzYfMPxU7WIcJSQGY+MB2o6bddJyUDAcInxmRsTJ0LiLNbZ7jfsbmFBYBjeUWbkc4Nzl2WWRhPJujIY0l0IE3e/xXwOp3wNmXUFiyYTfVbogLIzKONIZ18uZ6qd9ZfiSyAElmAJdas0agTtRIea6YqelZbamtS2d7Wt0GWNskHaNzIxCMrGVq8ZJswXlh6k7KzFyQCQzv0cZjjTc9kiPRCExrafo8GiaWrKsezMkiFAewtHCSPrBhbQiIYjag8dWhjcJUHXGvfilkd6oGSALOu2+na3gcq807gXmWkdtNd0L86QFiZ2dzh+riphPifJ+UzDJI601Ii2dzFqQshwG9cC0oOEGfnMYBSlBQyXNCGt8TFqD6nMO2jf3CTzhZU16k77d2H9BtNzOJcoDU5iqT26ezo9XTmrMkrtnViP2mwFWmhUdc6D5xoAgJuekkFF7QEgOtd4ZV2rJqNx9yWOnzTeWOcem899CAiwu5UwcXyp/TWpPH6K1Xd0AlIPpZc16sbcgRH3UnY6vJWybfp2uGTZgIa6NocCAai9mdCk2RzDG8Y9l5jW5luMLwwC3Vh3JW6neniJhnQrdWPxIGFiHcwi4si8s7xF7VHO1ZcZvzjvTmpBWbamvdWelhBGAo2d0i2wsm0rh/Z29huZLxpluNs66YEv/pXe/DkscHXJvHP/DeuadbD5Apuvme55+Nx8Evm9ZdcUhQ4WnvzTX1hv4ShO/esAle1XGJ8jHsjqMWHqyvormZ6Z9s0M14TuXhwpoF0zT+pgiJ5kAO1QNxZG8cUzjM3p111Lf01NLDsdn/P4SXMgzE8UaByLIMpGIaw9y8Yc4OhxYBpZxFWDzNQE6y3tBURdAQIjnT9RexsuxYnW072wIj2IcxqyZRrB9U6+UEeW91fCyrKx7o7O/SqFJpR6iltu1JJpJEvjVK0dFt3BinwOgvlMLZkFafaOtKijh0/LVh3n5ua+2wgQhsw4NlidJf+T+e7KHVb9NY+fIJ8h3dPhUq688plKoW+DxPkGra36IbfYvg5wtLT7IqRACutg6V7ccyKFad9YSps9S4AYLjmfwxceAGz086wb3f0mmNBdH85q6oTZC95h+yW1p7O+bl6hv8F8js3XzGcYX5o7D7trqYO5Q9LZVKUwX9S4F0tI9yxr0ug0tVTGI0xYV8g7pHuCTA/I562viCa9IFavRSNlkrQnjZJ5/NTqYG6ipj3zk5rugsdvAcBoAVIxPdMTlSd8yxsP7O5Ze9CoK+uuRWYSSA90fNf4ia5ei1OydvfMZwoiTNLd+e4H57/CcInxRduQlRUswB2P7gxwavm2T8r0rJWz32B8wbJVty4d/hNHWb1huqeRJLrbZjJ2NxKOtNC2YtZB04lkPeDiVxyfAYKzX7O7w/iJuZfPwS/bryw9YHpGGi7+GuMzittGHSSzuyMMdWN1gFN9aw+LrD1MGj2rG/XunHCjuPnuOrgSsIjuWvK5+ldrb7W32ttwyel5G5eybglk1b1n0TavcPi56mAQ1A40ydvmMKBxPre6MlaWLVxcXYC7O+mvOD8xt7Gc6djRE07aawn9NadnGg/UzjzmXwfEyTemkEyQDh4+fmbpQerQfBu+5Me9k9Y3j04drKzg3rngqB9BHHn8TCEOJyGV1rXh7u6bvp6emxTqYDro5usQJoQZzqjrJkLemm+e8pm566X20l8xPXB+UQ1ivTmXfHcn8cjphTvW2rbenbrP/h87fsq6Uc7UtVqy9ddBMuen9n5nJs3TEJxMkgAQjwwjLbAOjYq+rgwQn7DamfbmXqvjM9EO2pnkxoJtwrxT3x54n3s7+2tZf4vxBbp7iUd6V4SX/+VfGCkFNMAYpzZpfW7QUDYIE91arIP57pjKutHuWsrGTuArWIAomQlpO8pw8O0huzuGqaFu6srCSB0A0Dxbw/1UAljDw0hGHRo2Q6Olh0cez7sgpfF/143poHEfwoHxeLIa2GIb8Sjz7sS7mjk/USqHt5wvXKDQvxNrLOkNABqO7K9x/KJqpGQ48kRPI+1C7zDlkOmE6M3MBxz0qQPiviGInHnd3+gk343c193T2pzpYabMjeO5u4MTM6c7Jyqme3UsYP0d3bJ2mZgvrK6wuuTxE/U540EIf6YUAHR/Iwjnh/blPEx0wuB8ZkSj6CZpEXUwl5g62Pq1zOewAAi1R9rTnZBSmS80TNTBPPTlgNq0pwV09zQyPTi9OsoObrus3tr+C85n1A4WOD+xNkxGWltjylkNY0t60AFGyETt6BauIzO9BMTZr3H2pa5f291/wrK1fAZXDZ5+Mb6w818xn7Fs29BoaqE173xfscqqcTmXjUlxl+zJhzzTYhNF7ay7EwsW9yy75mNxH6PMjCOkQAqmp0qj9rb9UvY/UyRPAXa4F/MO+QzTU6R71rWH8SwcqQN0QH/NfGaOSnWLzYLRba+hYfxYme4l7wwBMmM+Q96ivyGM2rVtiivKMEldqwVKbU5md/jMFyCog+U1pyeA+dbQ4kGomC84X3C+UBrjgXmHOPq92P4OD39sF79k3oqb0vHIvLU6WH8pkj16iv6qmdXeD9pZPApBE8SjixnLmTUoY+d+KoBYvcH0DB7Mq2voYJYAMR+LsnI+eISjWGy+U7cYQNQBm28EZB1MlATSnZignJl2cBeIBcSj30UEc7UjSpDlTONB6skC0MHiUSwYiEWf+kLuu5x4pDc+3UldWzq0mKUFkJSCsrF4YNmgDr7LoftUpADStISLkEsjCM87dF+uzOIc877xtYB87m4bqyujwv2ZHlWtK3jtGRbqYBd/zcNn7gYkK+OBZWstX3Di/R832Y4HwiiZ04vKQplZN6fv6i2MXp2Cu9/CAoPDa7OD+OkioT3SHcvWEIx16WEuvkeWhgCsvdlgMkmYGCbAML1QXaH2cGhr7VF75C3C8SOC7uPx8fh4fDw+Hv/QR3jyi1/QcP4r9FfY/9zCRLc1tANz87qYID1wfKlxpGdsuNtUoyeUASc8ggWk+5ZbECaWLerKHLwwXFEqpmc2vOP03BxNtED1HJPuxnVLOqksG/VQTV1ZXdnqjfj+t6zg6CbtTYrEB9HOAJadQrB5FUDWzh1oaMbmxHyuELK03L0TfIC1R3/dLAXtbX4Ch8y5R46KcqYgw0SPqXjeVtkYK6ktLuJ5DA7bn556Qh9lpiVMz0wHDbOALXTppcLqYOlOZCaNFi3tWdYW9xxfmCaPc0Aq6gppT8k8fK6gx5CZ7umObzc2h3eyeHLDdNrWfCdlhe7GB8IcAQGgOXBGTM/U97gWoRHaeX6Vp9FYXcGRDmVjYeLmG6zfoAyUmeXMYEi3YgH9Hedzs9iC4Ra4+61Nz2kRUrH5GhZPULHU3GB1BUvuuVUHFHR3EibWjXU3EmaH1UET4lHiEfOFWXTEFCG+g+H9n/DwaYs+eoaTyQnHFTF+Ym1v4TneLVbX8or6d3T/le/+w5HlXLU3GB2vVdfa34QG5CFYkS9UY0OmwNE9gLtS8w51BZcNE4wvbKlAIZlnv8H9n5j7gSVzemYQczSBx8yoLT3LIsLorldACLIOOPsNjp9h/W1L3WvAudzinTo0t7vPJvfGFPeKrwyCMIlfScPqDaen5ighEKLN3q8r6245X5j28Az/9WsevtD+UhyOdfgc1kGTw0rpzlgHiGoP39hJBcF0z7Izj+3T6OCmfKbpTjxZyncbDha1zhwqUjasHeLUHBuWDIJwkJBJZXogjDI7qtPiUXwCut87TMxnYOXqLT3FyqOkvptZXUo+MwjSXmgtAmSdWUR3K2VrkjlctrgvDeHYkBqbrzA9A0Fq2x97UprHOQCEkfPLGvYSZj79N7Z+i7wSTbCE7q55SnwWEy2JygU1PbCskR5YtqadWUD/TjzmasTqktMz1c7CKC0fqEPat/xQV5gO1alb1c7ig1hCPFAqD596wI/ao78mAc/LpDZcAFtCJOOeLvP9ZQBZNpbuyIo6IB65+ZrjJ2ps2y/trGxsuBQLyGfNj7r+jsMlIaKeuFmpnZF0+LQDa2Wm9i0Bsa4NwQMo1M5YWx86SI+V2ls4++9+oT3GFzh+Agh01f7Q2tEjjNQeq0vOT80znjwxPt2GuOf6DQ9fqHpwbC91ZbsvcfzULKGuQKDu1H3l8xnmc1hvvmMNR2oPFzsY61a9U9yP7zgQdX+R0FaGiLAXSz79WtZk3Wh/GcpWu1uZXqp7exykULbmyZUtaOwA9Jn5QtO9OKrEXeGWzGsHLHUtfKq701KTR+ONRh9pKbTAslMqZJayVQ/GAtDkmK6G0s4X6nFshBZigdj5r1hXLDuVWeDATUM5s5qaT8ADvGFsrnBfrSEoaxNtm2hfnxxmFo88fl5ZuXor8ci6Nhh0bcNbGV+aBfed0kFfZd30F8i6sjAJBJYabqW/phRoBCJYEY4SJlowmakd919AV9ABMtPrR2hv7g2Q2rLe6mDHF+zu2iw6fN6Ka/mYam8tvlVo0UwI43ApdW0g44PUjflaUtaQ3FwxvtJbsv5aunvWDvncnbosG0sPtIC61TCJ6+JQWFdq0qAQMtNhwdMLTXdiEWXjz28BuZbVWBtA0SezRuvuJMyesdDw7v7XOjgo8aRoNqfJ0sE8M9poBJRxL8dP2leUnTkUyoF8HksoW9XB6rpVDHF4no+Rp6auX2N6Skdt+GLZX7cozmJGdDd0fKn7J13butL3BR4B8SDjc5XCcGR/w3jk8BaHz2zzjdQe2iPMcL+3CeZzWmcWHAjAOkCTeSXOdE+Z6eBjeszf0JS4L/kzy1mF0iN/8ci8RTw0PEvay+otQa7f8PhFlUm8nRBsvuH0pC0hNIaRZ/8Ox5eoQwuG1d5CJivzuXpo1gJChsdcNTFkEHiPglvbfGbdvXuZzHEBq+9ankPdtBpytXcgKGmYn2kc6ZHv+QmaQVlBNNCpxtbC2sM6c2DO8SUPnzBODScSMj09OR5oybP7wdLioGUNS+aAgiZOPQA27EZFPjcIulvGEWULD/mEIx2c0t258x+e4VA25jAKxxPVtdWVxSPrGiCf/nU9fE7Hebtp6KKez62uTUaxCIfpd/eUCoD5TL34iOfgA6cSGw6H3igEw2UoGxw+U+1seCOu5yWzrM3T1S2hu2mZv2Hm+d9geobuVmRmPNKn3vZrR+GTld0dQYSz//6/QbAwCrUBZ+NIC27Rm+MlXNC1w+Zr6e5YB6QHiWNb+fNFi2+ne4kHamI+MzfWdr+W8YUioL8K/j0Lpt4DXN7Fwzvmp+ZTUVfmxYccfbR6LSA1wtUEK/OZsbZIqa0UVWgsa4RMj23Ge3HkqBTCmvror6gdNt9wem4m1B7dLUG4s1g71N484LZ+TcfUuc9aO/TXMryTsm5rs8cbfM/kKcquntKe8xO1cAKV9WbE6lLCSNaG6aKhrqgdZKIlc0NelHWwkNnd0iK3X6G/wfFTuJElM8vaam+bbyVvYYJnf8XDF+aIu8/+RTHK8VOLD+IQ5zpAqmc/sGwaWrec1e4m5J3VoeUBzBfmKVkeJjmh7Vl75J3BsHrL9IB4gGTmM6xfc76AV82RqVUlKGeWbsVjYHVtEOhgRnjAyQLqxuBbwJXpRq0zL9uDZtO090plXTeDy40M7RAyTbB6y/6W3V0DNOZdM649D6YlA/UGgSaTmfRQeUIYpayNFRYbqNLBry03wmOEgjC1QDcE1pnLTH/NvGt78VbC5Miytv6GUpudtPlG6gpU6ODmC9yQ8tBLapk3XjQT/XWT4ZZbs/Ldm4VJpJXyQ9pzPoFoEXw1Q+2Zd9bdileX0M7SnmV7KiInsGDNWO7Mr6GxbDRM0lC5i4UF9tcNbGkRece6bkCh/pr9LdOe0xOs3kpdYfNVi9JTqRE2GAvTHRtaMkBXlhx2nCmFZWu196w41sG8wpMH/91O1d7cfi8blK2FifNTTfeByroxAtqxbKy/Ydl6Eg0h1AEyn/bxR3YPZEXZmXUNaqidISA9iKeCWMT6NT32kB6YnxdmsQCC8cB4L+NLPRV5MxcAqdx+Ba9VMb7Qsob2lrfsrzm9qHVlq9disWnkFj5cG4D+XehvmHc4/xv01zh8DpnhOTQ+Xvnc4t6RwwgzPbztcWIjQMaHk+o4MI7IO5Qz05U55qsFwFr+GVxoLbC7adk5FqBrA9or+H7nBCrSnrd/RrfY0gM8E1RmeuEGAPFI60CguxHHWJataYfuhvlcHb8uBWVrq+9kPm8wMZlZNtZSLMi6cgQAwFZQY/OKx8+URTQh7TE913Qv8wUIWILv7CVzemplayGTiuo23MU/+wXBdCe+bU8H0YTNNywb+F5Y+1ZGZXjH4yfmuqC7oybfr2FJ+zr/Ffc/w+5LHD5vaBaf2I7U9N1udyPub2mmLk8GaaHXYvKAPzNXl60+mEU7+7XnDVAHawkcW4N36L2kO+YLDYfW117Xp+509W3Qvqk2GCCYz5qF7ggcDyCHiQitHI5MhHF6Zssy6Wkc40tNDwIiP6k6mBTxgZkvLN2L29ELCgPWLKAw0cL7AhuuNx3ZTMBIO2UC9tfB0WthxPETzOfQhNW7hmxx6TTh839lh88BiPsNQNz/kWiidoDQC/BIJQt1ZRrQ34oD/LxWh+/qji91PjcauxvJF5ruRHvzYlOa0DlKQkDj9MTyDgDDzOmZSWneif5W3Cx1He3Zi9oZ/ZMFwyXDfHLzFiKYR9R9jyiFmizdN7Ro3ZjMsAAdLIzNLRDmtjybtPItvpxor3Wj2y+D541KZt5pdyUsLeeDaFD17l7KWV0SeL30SMsymRrqCXDIJXSriLb6LpZ1g7Fogg2GAE8xfvGXOHzeANn+sXEv71HsRP+ura9xZBjb6q6d9VdSV+juCdB3vf0tm8OgbyBVjWwb98p4hBR4UkFbxbfqyBH3oPpW0g2sOFKTQ9SIk/8EAdbb5iuhngDuRq8BYxEEy8a0R9lYHEUHG65kemrTU8wXsGB15etEC++nB3opoDCSyrKzxdHa3XL8pHZ3jnpo5aZqb6vvJO8AQRy93q7VlcUH8T1BQ47M1IjVG8YRFtoQWzKNLVPSoWtetmf7FdIDtG9QnbLTFu0HIEgPpDEeMD1T7W0+b2ijfOZZ5+KZ7/0V53Or6xaDcFNm+zuBcnqG6bnNF82dK7OEEWUNXSkEYRS2okpcHOxeUWx8aWnP2rFsPMsbYW7msluBPOUROkwcREvWrF6rkDRYwsWv7P6PWTYqEyVTprb18dQxC+huKTPzubnp4xnTTdXMDHNTLA5cdGSB55/GB1JbTqsj8i9+ibKSMHJ4x7LBcClUxCPCjPGFbb6RfGY6mMxS16YdylbDJKdUNnjCuKevrl9zPmtgn4tfIu8oM4+fmHXW/HIdLNI69tecn5p20ME8RKJDg60D6G+Yd/YRtvDx+Hh8PD4eH49/4CP87J/8s/+XvTfZlS3JrsTW2mZ2Gu9u95qIyKaSTFZRJQkCNFFBAmogQCAJSJAA6SP0GULNNdEP6AdqUPoBjYSaCBBLLIosksomMjIj4sVrbu/NOWa2dw22ucflexFZSSZLHCjO6F7346cx27Ztt2tp8LQN0gPnS40Hmc4NxHDDMCFvvI3APBHiMfHugXljdbS0E+3tmIeXurS8Yt1odyOe56c1G2S49gJfo3qaC0BzMz0l48iYXs+to+WlNSCKA/cvMV20ZEZZgl63XJnuxPseao/VrySvGreH14la4OIVp3PT1FqOpEAjrW+JTe0tHmgB3S3L2MooNKGcq0ziuTWwNe5A2N8wn5s7kTqYt1t5JkAHu/pTy2vxuHk8MMzsr7l/Yd0989oaaurSZKIoHSPSHeq61MXnsv/IvPG4oTyMZmwFC2UBGId3svu4uR06tJyno78M7zhd2LFF3By7Id1zPjOHyExbkZkg8to88Sa59TkCCHtZfEFvpWpl62v1BlhLoEK7Fu4/dju1Uvu4p/ZeGdF8zSNWbEOmoeLiLwA7JrcOrRXXkWbcyAoz05bzhbkh7HHaOjTYhQbU20MT6qY2gJae3lZSRnP09Lqw7kG8s7i7Ez3WkrjL4iawVHoeZfkrSVtOzyzsWVZGHpGTSAL9zfFX0vqlrLPdS4Zda6v08o+8boUhjgIlmcsvoVG8d9vNRhDjWwLHkHVqqVbP9HhPDwR1oaeqjdYZ6sDnB5KwiOGNxD3nc7NACNafYvtDqwuDeTSM05VpQn8j8eBdvawjPCQg1eue6fkeD4x7smp4I/O5Xv0/2L+gt4cD8DBA7aCjehoVoFdImzTQ27CnVKZHzpfG0vrGWPny/6q3v99qZKjIFyqlwSbFvXhLlqOV53OTyjqiAX0SOljakgXHbic6dpH2WpaczxH2nK8MSh1NZvFbpAepPUQ5XaovMa9gqksF6WhM2jWghPE1Dh+by5glIFgZaQlhpnqbv1Kyd2jiVHLt0DV1gTrAV5Ml6KDxUTzD7UEjb7HyG7nzlLZSR0NAHWz8SrpHph1bFQ8baCwEdUQZpKxNaov6NI+HTPfM5+bYEF4e7WDn2tvql9I90Buf5zOjIT00QDKg9eF6d43HpQkvsdHDc8ZdQy/VAV47bpEOmuywO2Hm+jOUFaksG3V/6KP/s24/Fg/5eK/0fNHIa0DMG3b3mC5NFxofxKMsliAZZYSOiDtpoY5ZwoHaWdy17ovungDD5r/9A6ctcEjp2qOOJjODVzF1rYgiPgqOrfI+fMtfcb4wvzoAiJPzcXzDvML4VsLMuMN84aAptviSYcL+I/Pcadwzbun1LTjCarmaa42lqaX681mDYAh7qS3HQ1Y4bnz1JLxgvjDf9ryQxoM8HvltoBqC9aeYL8AK5zdzXam9tYYktJgswP6teNW/zFx+YYdncLD0vAKV6YFSWEfrboLLEwTbT9DdsyFQVVBxeGaWzLNKyy8kbZuIa4cwtfZGmgeFW1La9+wwwwHNpHK4QfUG+ICyMgRoRF2Y9eYtYyaYLoGIuKNDVkMoEyx6L55DYJgFLL7i4UWrePFqFNeYdTRHz6s9ygpS4SrDEzlxLzTITAv0jfn8L7D/CF6wByJvUFYIh9ZL69epA3RAeuTu+7DAcqZeKeSVltG7NI4gGuHAvDGvZfDKKMmMO3EcEI3HQHk0mSU9iCbEvQPrNROqpaY23oAMx4yXQp9rT/m6nnWjxzG4wsS6Mu2tfxPDXqS2fEODaQlfV3y5bnA8N+2sARwsAMKLKq/+TB9/IN6xT0V3zzCDlYdnVtZfI9AMb2Q+byjFXu5lEV5e5d0nOhgC3ODwSObZT7zVz8MsrapFhwZ97WA/Nqhk1q+BqBlmeKupK1O3JmH0YlcAcdtqfA5X3PwU8zmleszWursG6gPQQiu9Q4BjQhKtH8uLCT/5l2X9S334oUjFdBa8Id2r1AD6qIaDODGgBcYt85mxUgfrbkUyh3esPT3Iaam1aXuXj1c0eG2ta4aQoRHp3sGjsPoMh2cOhN+aheNeysogSPeiPc7/EsNbPH4fXlxzeK4s4uWLYS/amw5G4/BW0pYEy8LCgWWBePCoGhdfSj4zwImI6BkaNwGth4EeLmu5jNJS6R596q8ZJs4XuvyCh2esA9y49yke3lncYbrE4hU10qsZwVb2xkoEF2/x2gpvenX0rPkM8xnSI8vSPPhMowPi1RGLr2Q+s+GG3g7s6iju6dFmf7a8MckkWPum9xp6ekGYOV9gfMO4w+GFes/lvAkhM2TKzDogblmXtvhCDs9NewzXPDw3D0rLzDo2WXVD3JWDqz6ZWEekeylL8879kFl7hKv/8g8dAsuNKc9dixc4pZZT8d80ACKiuxWNDYmrdao7zGVvVNbFsdAzYbqy4S3nC4sH5g3yBp7OqUuro9Wlhb1D2tA74zyjQ6AuNN0LtWULvRDW7cTpyrxcpI0p4W229UhGIDNdFrWHI3F5VJ0GTzykB/HamLjj4hWmK+BYCwRg+bmEA+cLG18z7hgO2H0Pnijq7lkWYKEYLVldmSN6eW2rVyWWpYUDDy81ry1MIgV1YVJZVshrTyMh7On6oi3swrqw9c/EPQPX1y4fXhnvVknY0zoMr1vHq+8oFjBcy3yp4SCePByuWRYNwMLNdmrDoPPKwHQvvtg8pe9CXxcoKwzvOF2ZRYRJLMARTbxUoSxw/hOEPbt77r7P9MB80ZjlNJkJTs3OrF/DspWlrX4h07MWO24u7AjvDl5/hu4B0zPQ9/UHCbkBKXpFUzPB+maJey8tCwi41d/yPWAdrfbN9As7Of9L7D7yCnvxcfbs3QlDwRwThE0vt5rdiZ6xAOnz4kiyNAzvJK/NTXvfq7p7cZ4t92MaEGdEyEw7ehrVEvJGQZ7/BTWJO4VlbYuvOJ+ZG05eL+6JesewobG/5nRl/R3nM7ByurKygifSwoEnDCT3jxtY11a8K9Z7lte/4NdN78E3SA5v2T14kwAt4OKvbDpnd8+88jou75pE99CiF94bC7Ksbfm5zBet/Lr25jCmBO5+T+5/R0A8+xPbv2iGuaNZjm/E61D0yCZnnRGsK2Ul0MyX6apZD76WXT2lLWuHMDciBi8F+sH/nm9/X1ikv3PgJcyXiFtaQudDh9b8DmPcSVnZdMXDc9RRjZzPIVncKVx8KW7LHtPJtIirP6vb79OFMG7pSDzaY/0pyxLN5RL074KnAGUilV7fFGaUBfpb1gHpwdFMcHhu3pVx/ld2uBLPDLV5N5YVy4rpkfkMFuz0GAD8+mc/xXTpLk7zxlon/qEVG3sBiCV0NyLVAz9ucwiIxZc4PHMvEwDKEv0tywpO/zFfwCK6u9YWAsKZcYZrem6pjA7z5nutb7Et82QBJIwOB+W5PSlr6+6k9rAO1pvF5py5bm8AVIOGg0hFXlu6F68+9SqqsPnv/qAujF6fMyDdS1lZPqsavZEe/Q3nK9XecRbMDfzDx2pEyKxr9f1DJurSdKzeM+z7eTPlBmWV7r5VVVpEmFDOdPnLMPu+EmDRdNCvKTc8JtABaB63Z1Cny8ZjWHs4bDAcYXcmAs7/DftraGI+M++OZmlRIMdMzGdun0I7zM9rHTBfgJn9jczPq3U2fBV2P6h5bSCm5zpfOvaXHF5WCMrYqs9beWjl4ksZ3rG743xpDnpYV2ZsjrZvimFmmBqCr1f7hAztUEdoak0YdWnTOSQzbY8onDM91NagG+XIjDJjPoOO6pRf3Z3M5+aIJl59vv/IdDA5sI42vdCGC0d0N+II66652m6d0D2IHAv8WmVOZ92tlDN1tC43vcOBi9f2+EOWFbQzB49afB48REOjJUsP4uWtPuZUSOHhuYXZ4TMclLcVcXirlvbH4une3LPxraJ74Hyh3jXlTWZEQ5yqS5PC9Mgwc75QAOWsrj4L82XjneyvZfcRWgT4WHq0+hX3H2l3K3HH+VK1N/erjA5J2Ra2Bax/JmWFulTHL/CyndqhwZCjFYmBzSuyzrxY3zt4ytIjAQ4iZwAJaJLhHeIedYk6NOAGKW1Oy7IVIOWNObbvkXyMdWVldEaohoAlhfN5g4fwtG//Tixy8QXzpv2bL7R2tEjvQAgTG0RWJA15CRPoqIfLVks9PdM6eMWmxYODgdrwVuKB85mVlTWHHnSl5g1GosgrwzGg1N3x8LwVcDonEJXzpbaOru5YqF0JY3qUFpGzVgQf9yzrBqwcMucL6x6Yz0zmY3Vlwv3viq8XT90DKEsrGzXCw1aux1vbhgOJGUCESU7uLKRVBpallXUDuq291cHmTfBiHKnQodV5Owz5/qW1sHlAupe8trqwuOfyc06XhgYQZWWEVHpUAMLaN16fhx8x7rxgGqsvMJ0jb9QNIIuYz3V4K9Ol6miOvW0kgu2fg0oSp1JbI7RDPjNRENBetYdFc+hYN1vTVvKZhpnLV/b4I7Nk8cB8Zt29s4aa1184iNp0ZSGzrFV7iw+iPQ7Pzck5x1ceymNeWTiwLqx7JIjppQ5fyXxmTjR6tEdBIG+0vw4WYMFgcHA/L+nShVlCegjqoTWwLs29Z+2ovYWLP/gDZnGGJS8qg8B6o6G/FslefKkIDZSJ1hZMfJS4OwLTAizUhXIKNuriV8Er06ZnyiJIAFA71BF0KqreJEt65HyhvpOfNiTXU47GER8bnJ/vT3HH+VkFIZMggAD8/GiOSjddcLpqIXLHsIk7drf0OLvMXH4p++9VNz0stDZbL0ByqG/tSKVvGHWpEFi0uJPqSKkNAJtwZMxo41dy/4/qdGVHxCrUwZafi2SJO8lnRkP/TgD6Xh5mpkc2dqlFw27yPi0blVm+zm0ItId1Jlm8yjkcWBYGo/aQSVzde0eIBQItFdECKeKGiYad0FAXOr6S6ZnyWDYNMYtNgXoisJUmLkwc1KfZ6rQEZoaMw5V/growTV/Dv+uo1pvM4ox/x6rTBp/TYtaZXj7L0vCQdGHxUSyiDihLqwN8SXhU1p1LgGnL+XnV3vq3wWnHykb7d8HpReKeXh1e1uZ9dt6A5TFbHEGpPQnn3ufZT7D9gUJggd2NIEAyLJBGXark5tDER8GR+MA8bVChg3k9nmcHuzvxMnQIxtcyX7VHUi9hF1Ahirh3rDYHYD2ixAY0BkVgfMPDCydsbNuLA9w5+pEl6GA+a2krea0g1j+T7o75HOMr97wxb9DdtXbmumoM0x6DbWXEwTtV0ZynvoEu5rWZtJ4kycQxuUs0GMm4E/AE0wmLsMH6awkz63jsSD1I7ehtWJZw8Wcc3mH7fXiUxkF6PBbtQfKy1rAXX4mO+NmgwmbOZ1YWDRLNySN8D4uPpFIX1t1JWTYPNZ/V1vhhzUw0aShnZWOtmY+Ie/Y3dFrIMDd8vLIyVp9iC5NQ2d2yLpsfdgJ8W3+G3cfHzopC5wfwXIBj0eaNuwUwofUKcLiWY/TVCMYDoZwvrDoea98cffFXnliXVntCHDvYIOhuQzlT7/nrrsVlLG4b8ps1MotWK9+6nrtmFYU9dWEwlFG8Mt61TZhEe+tvRWNrR9G+4XM6ajBab5xCufkpHn+EvGmumHUmmXmJsoT2ykKANlj/Thwx2cNpFq0uLcxMDxL3UhaatqIRdV3FGZw9/QmINfIgGHSh3Z18V0H33fHd8d3x3fHd8fd8hBf/+R812gmgbLS7l7LSsBcdTCO8yw+AN2zXhVow6y3sjhbNSlefxu5e8sb662DRIJRJpistS7Pe4RLgTeYOBhr34iTfdUA4tBKD/l0oG003wRPjzhk8vazewGjSyk5ojgPdbIfxi5A3uvgietWKBzcAwNNdAflMh2shMF+aVM7nFh/Fg5ubn8T5HOleLNp8VcNjkFm8PdhdB4sGID4ED/VAkB7EYzje2GEB+czWPw/9tRw+Uu0MegL7UY+222CwRn3W0iqx1R2kO6kj4LmHoRkI3b1ML2tdWHcT6tLSYwPqpjLteHipekpgsvVLzs908YWU8dj3fmjdDCxkFh3MOmPm9Ey7Wzm1lwNMDw5G8jUbivZABLOkR7Fk1rX0b91o2HO+UudN726CB9+8S9frAEEO1+LVjfm8usMnmXVh6mHiZbXOwkG6O+aNWWd5Ce/AcNuqnFWZxQNPzSk85uFaqWFvZWnoNN0FBFAxP6ustGSe7SdIcPF58JK/9CD5Qi0h7ARAXamR23+gSIYATuIAkR6pgANuJgDo7huQkhO91KWtfyZ5Da8vkgrtLXqWe2kavXbDbNB/9L8+vvknnUUT7xmf2N1KXoGAKBFQe3O4WzdmvTgwb1wO0TgbK4OTkiRnYnbvjMMb2XyqeSVeqDJfQDubr3S+MCPGN+JM4XWlMokvtDpad0sp2H9SwVYH697z8CZob44cgYDuoVXfeXWTBwzcPZLaSpM8w0drOBEgLQERIOpCacznphHxwMff0d33TAeNuyAFi1c8vDSnHpiuGj8LjPmi1qXCPM5PAvNVdcGTWTSirvRYXtTAvFlYNtrdSn/LMCHspA6wwaCMe/EApjvidaXxQepKLZq3LqV7lrVpZ5rMQax97tKDzBdVe8tnVpdqCbVvqVwQ02Uj5vE+XwDWWV0qiN/93+a3/2lwh9KChb14RVVemysKrzudrtRi4xzw7IgnZupSfWmwsr+RuGWYJG4lPkpe2uoXMp/BYZTDJGEmSyMKqaOle5HMOtrZX8bpyoAGSdWYOO4ln+mpJ9cztRCkrczn2gKevbnWrQsLOwcfovXWXYe6sDIyPTAcWEfUpXouPBxIRXcbvPAkbjlfaYOtWSiMiIgPop3VwWpvBMtGLRqi9W9jmOi5Dx3NCEvNuUS02hv/4T//Z2Y0L4ITU2UIpkoR8w8b/SpNVbwt0M83o//EjtVnfqYqzShy/BQAYAay/RGj1iqklSIxKgD/CWmnH6rSDP63GUNQAKWIqVDUn/B0ZVMhTYL6LfwrU1Ls2McIESOtVjk9mP/tD+YP46/ggxBjVfVPrFbpulJKePqmfk4poW3pQX3QSpEQ7PRsp0fyJ/EfhtBG4PRspyk4vexpQE5D7XcxY60UMa0CgGJ+NTm+rL8+iVrpr+b/trGy9iR+09MEiejp8U5XePrtcbh4uo6PXgiaczidT9rppscXh4/Me8Lg1/QnKTn4i/j5fp3T4/nz+BVOAmZKAKkrpQQfFh9Yn9njNNnpxU9vByDGCqCUQJpWAc1UAMRU/eRaQoi13b1KTLXkIEFPr3+Sk6eCnVLNcwxR/eT3xP7IbehzJCJqKu009QATJWgtAQBFGy4Nvn4YVaH3avu3LiSi7UlUKNpG2JcqDUYXYzl+pUcB0yoS1IdR2zi1YT9i7fm1CNp7FyHbkJ5uepo1v3IT16g5B39Tf4XTnNYqIvpUxnyIYqqn6XuyVAkgBDsJ8EkAfABPSuM0yyf58a9E1KdbxJ5oGJ7OjMfpPj2hr2Uc1ZoZRdTHwS9IYp5iiHpaUDmH06LwdyRRi4SoT1WHS8V7p7m684VwGsnT+f5ULvwhGGnFF50Y6QtHaqVrntP1/WR/WRFzhWDK1BV/U18y/sd7b5pz8N+WHLo++4v7RIjYaVH71nAaN7/USez94j5uTS0bTg8ZjguqbS7/+F/8T65tcdxXXLX567VBB9QotHrUzn4D1wJ+Dx/WJu4qLrVmPApEu1oQPV3qNNw46qwnE2ClfD2vp10h5xCCns70W/vTPl0Ppwc77ShB1LxMCQg0ALmG0yCeBPeouE1Vgih8ldICrR5XNZqOMwLleOtaJQatKiet7Y93Gu7Ta54+OalOv1c5jvnpGQAQqMebmsFvcZIt/yPFenqMp2OOJ6rwtBpPdxdRP9P/EB+K4x2DaC4hxQqgqqRQT8P1dMS+1lzHWTj966f5aPw1PaU8vcXT8T/9/PS0TV8/Gb2TPXQa4ZMo+idtpwk65xhjPT3MSURzjikVNyBOBsFpWrtUqoorqRjraVGcrIcPp/VkEp2ep5TwtbQfDRQznFaTD7sLp9/CjbPjTvz1wj7O5un1mwGUc0ip7ab+mvhrOlRzDjGqP6e/7FOT0c9MqZ4swpNtd7LY/C4Auq7mHEirJcRUT+v6NA6nUTrdRVVOe/9pHvHk+Ab5D/7M9etNzhiCntby6Xz/92TJnUTudBcfyZP2eConfvcUKoBcQxSdcvRZ6Nw6UXHVdFr7AE7KSk4GllFoepTbPhX/7VOFgL++eJ/qutMnT2fZB+qkik8CFkRPqvK0RoLoNEefxFLC0OW5ve/XMlCrnCz70/p6KjAuilG0qJy030kh4IkJWKukWOuTaT0uRsagpZ5EvWk/n1A8WfJP5eSkrs3oc1FcG/zDf/7P5teL+GwPoLwZ04t9fjuGi0krnUFCK0mjQAtjXwDkmyFdHPLt0F0c8tsxXh4AlNdj+mg33/ZxnWsRCQZAQs27rlvO882QziYA9dUYPt4t/4/V9p8+5vs+bSYA+XaIm7ntzL7as4SkZQr9cs6fL+MnOwD59Zhe7Od3Q7qY8n0HIJ1N+b6XRTGlFYlDAVDnEPuSH7tuM+Wvxu6jHYD5zaJ/sZu+WMaXuzJFAJJUs8Suqopm6ZczgMO7sbs4zDdDf7m3v1wB4O8/To/9sJ4O931a5LxNAMKiEKhzkK7WfQSQljN+tuSPt/WzpfxgW96NAOLVvswxdqUenScSmiUOOd8O6fxQ3o4Auhe78tmSnxzKbdddHfI+AQhd1UozxlTzIQJIY66vFt33ttPrRbza55sBQDib60NKm/k05gbUfYxjKQ8pnU1PbyHf3+XHrlvPAOZdCp2aAkDs6vzQAejW83zf92eH+ctleH6oNz2A9GyvVWoR0sxV55DzzdBf7V1y6qsFgPByX3IIUQGUxwQgbabyZozPDuV6SM/2830PgH0FYJWh07oPftP8ZozP9vWLRfeD7bRPAMRNYOWwmPdvFgCGZ/vy81X8ncfDzRBXuV73AMLlpJWmDEnLXRfOZgDhp6P+eF9uu3R5KIcEgK7LioROw88G/fEegL4a0ve30+3QnU3zY+eTaCplCmkoeZvSavZFEZ/v65eL8PEut9NymYMkFVGfXwB52w2b6fBuTOdtaQCY7/q0mfK261ZzkwGa0MoUY1/ybZ/OXf77/mo/3Q1pPfnspzFrDSKqRlO6S+FLKb8d5WLSm94FLN/1YVWO6s0A6E0fLw/tmrdDWs8AyhQZ1YqYIfgUvB7ixztf7OW+i5vZ1w7EJJi96fl8AmBv+vDRLm+7MFTQXNrjWMo+dqtZf77kj7YAyiHRIxxZukX28exWs3665A93+a5P5wcAtQQYKKizpDHn6wFAupjqq1FeHsouhrGqB8GqpDHnxy4us74eAMSPd/P1kC4O+aGPy/y1g660ytjXk7jmV4v4cpfv+rSZfcH6lMWu1iLNnx7KfDOEzaxvhvTRLr9aAIgvd+XNKFdTPcQ0Zl93oa9H9ZJddcSu5scurafyeowv9vzpEgB+b4u/Wtrvff2yxV3kQwx9NcXXa2ef0pjztuvXEwD96Up+/Di/WqSX+/LFgi8PAOp9l84PNYcQtRbx3zKq7mO3mebrIWwyAPnloD/c120Ky1ynEPsKoGaRaADqLGkoAPJ9F9e5vu3j84N9tpAfbQHM931azSUHiScnGzHV+XpI55PrTwD1Vwt8NNV9iIvy1PCq1324nMptF89nAPW6j1eHvE/SVVh72W4xT+/GdHHwLQNAfuiZ1HWvJK33CUC6OJQ3I/+Hf/k/4rj/f+NxMg3e+1A+2Oc/PNx28DNP1znd6z0r48PHeO/Dp7997/pPH/IbH/i91/k1J3zbW/yGJ//7OL5xcE7HbzgXf9PjvYH69aP6jb89/fA3/9Vv/iIfPs9TMThJxYdD9+9jrNqVYQAUfPqJ//veH6d/n/6wvdfx86dXO/393g/fu/t7X/2ak3/74ze8+DcK7XsT/fTfD/9+OokfStSHU/w3lbpve8jf/PAblaMD9PTzX3/lv8XK8uM9lfh0lP6ujvce/tuuLzR/8d/+7t9V0H13fHd8d3x3fHf8PR9xGed/50nVGH6LTe/bDKiTMfgb2m5/UyvvqbH59EYffv7/n8Mt67/Fmb/5D/9ejm80jX/L40Nz9e/q+kLVJ0jEwid51uPnT8/xE57+5Nsu9Xd+fNv1f8P7/iYOx0m03lue3yaBTz9/77f4W63uvyvfsf4W3tXfSMG+dyPPZP82Kvr/++NDZR5/fn/1YfjiadTr9O9Tp/ivXfQD9xl/fa0+TdA9PfPbPn/6AN94zV/j4P/6W5yeB0/SvHiSVPzww1Pq24xqDMcE7Cm3+TTj9213/PABnlZJ4INCgG98pPdOrr/WL346Au/d4jd8sK/L9kTrB8GHp+e/V/3x3kXeG8anZ/oAelb2vSKIU43M01c4HR9e9qm4fuOH70Vxnw7U03+/Teqergh/8m8MH/2aKPSHd/nmOTg+1a/Z7Z7e1NPOUfTfqfQ/fKRTZOm9pf3hEPldfk2U/sN4zq950/dE+j3JfLrchPbeV+8J8Omceny8D1c3nojiU8n58Gm/7YGffvvrz/8wU/D1WwM4bjm/YVDuvQTEh4d/fpqd033fu/63LYQPL/5tEb9vXAvvPf83zs7psk8/fG9a/Yi/+tOP6lnhPgDwppx4G5wADV5MKbBOx1+kw8u6/EUA8PjjwllsVfgYbVHjTQRQNpWZfhHZi3UGQA7Uzq7+WN7+ZzU+tNR97c2SeuO9HAigLlUm0UVlFigAeGeGjspJrNd4F/y08Ch1rQAsKgBO4lVxrNRRw1YAqKPmjCoT66itp+SsyjbIzLKq6T4AKCuFAkbvUpK9t55UVtpQuY0+epbMxLq3YX5WMVQcAgAW2lh5CPFR8nkFMLyKhxeFSgsWtlKXCgBiqIQAhq9tNUG6DfmihIdQVwqgexPyhVo00FAJrwX3XgoxmUQ3BUB8l5yfTceabmJ+lgFAyVlQvc0bAOQgOlYEQ2UbH0AmejdV2Eo5L8Cxtjgp90EO9AeWvVgyOhnauvrQxS1rh3JZuq/i/HEGwG20scpj0IWy0E8rm5puQj6vw1dx3mgbuk5lF6ioqyYnda2osEEBhPsAQBMkoy4VwWQb3NQe3srhRbVF5S4415kF6KByEEsmO9FRAVgwFjYytFXlIQCwZeEhWLD4EMq6AkCnmAWATOIXAWBiCLCkPtoAQMS7UC4LdyHuWHsDoKNyFkSTfbtRfpG5jZZUZtGhSV3dVB7FnpP4JFpSFkGFJeN8dHEK1MmLifggAPJlSe9iWasF82fTdcEsNPavw+HjwpkAqEz3nC+VM3VxLNOaxJYlvk06WNgRQL6sbQEW0uALKszMVwWVUMgsPjvxXspGLWl6F7UzAHWh6DTcxrrQtpz9jWbaoCiNk56z2KKiEknDdQJAQ9nU8Ch1ocxigwMEsX8d54uKk0rKDaXXPFV+XBTduzBfVWbaqPIQAOigvnBkL9b7qJ4gIWDSHuzEGS9Hmqi8Vuu1ex3nF0V2QQcF0L0N8/PKmTJJ3ZQ2R/52vjbDceIEMrEuFMHSdXR9RUVdV+6DLSoAZEJwGkm/RdiKOqpFr+PnEcD+k+KTbkPFscGj+yrlM2WmdSat3a1278J8Wf1FzJ9ECUPDPZEn/IeK/m2YL9vs6LLCwFksmkzirZCu90AgabhJAOq6ekcUM7U/yn9w+XRgaPiLhJ3UdQ2PoW4qSpM62TuSmR0Reyg7qWclXcey0nQrAMrS4pZlZSxI9zK9rD5lulDXKummnWadcaZ1Fh6lnFUA8T7QwB/9L/8zc+tgkLmhs7ik+khJhnZWVxrv28Lu3oW8NhpcJ5aFAlh8Hg4v1AS6rJyljdSmnP3f3d0/LuufxMffrQDig1gAC1ojbTIAkllXasFk11SnU0JZsrqu4S62xyvMZ1UmMcJlPV1HxztiZl23QdFwxE4OFg6cnxVfFTIJM30x+HvNVzXdBAvQZK7aujdhfl7jfShnRbbBFXFZm3YaH0NZV0c5kondrZTRypnG+7b/+WqUgzhRBYDuOuSNXv0Jb/5DdDcEMF2pt/Qaob1j26CstXsbysJ01HQnZeGyiP6tlIXNV5XZdYfKLDKzjg0rF0Ad1DpjJRSuEy1Ae0WA7J2umwDmMwszDy9KAwEDwoNQUUfrbsSR7gDM5+rk2bKXuqy+0sZXsn+p6YHT89q9CwCcwb6sNT6KvwKAOljeVJkk7pqKcfw3f9pWRw+A0EF94/cF4BCfJihnhZM002F0oDaFUnzPHY4rIVM7dcvG5SfuqQGQtozDng6PHaaGGpfPrCw0HKT2Jhk6Hv2zYKufxN0n2gZzoTZo9yrW0aSwdm1RaHcCalJfigAWvwq7H1TZtfXfv5XDx1WmBv3Z1Io4UhQcKwhA3MNRPmHsb7D9gW+oYEW6k/lC2y2yWKfduzC/LPFd9BGwiHxRF7+I+0+qaxPQtDcLBkH/OsxnBiA9MK9NZnb3hMHFySLqUmVPKmUCgP6GD/9BdvvAgXR93blw0qDdSSeo93RrsvjoCkVNnLq34X5BkG5EE+KW05UuvhQAeWn5XONWWNpjuPCXTU3XoWy0fxMATJca9wTgc+ST2L+V6ZmGA8OB88ZcWrRzIDWViS6x6QHzucUttz8qrnMk0wgdNd0EF0KgLUwadLCmOhc2vJZ8Zt1NA5EDUM5qeBSLYIWxsW7SUJZqyTizTSuBaJd/LDf/sWmvy19EAHljbruwso4KYPlZmC4tHBimxpEKIJ/V/k3Uzrpb7l+qa5j5qp7/edx+YmGmD5R2NnzVuBnLqsokLkXhwPlSV5/KvAHQdIgmqwOoyGfOCs7uJmhnZWFoffpSO1t9Jo8/Uhxxn2Vi2ShnBxwyAP11yGtloSazztqmOEvYsy4V2rYJVuqg8T7UlS5+GfYf+aIAC+tSw1bqQtOdW3vOp279O5kuFWhAU3Wp6VbmF2X8ZQJweF7DQcIPf++P8hrnf8XhLedzgGRmmMjaIPHDTO0wvA4hUzLDXrz1Ot0Lq4xfsfZ0ELkGyxqtuw2OpiXb4ADeJnTrtdlECc/+lcxnDfuru6cJ05045bBkxr14dz2z9LcSd4z7xkCsCZY0bIPMoj3SfcMK00Xt3wTJnF7WdCdlpctfBhhllrATTRjeBBrqaI5rsPwV5w3SozgAYnyUsJc4UY/MC1JIQ10ZBN1NsIC4FcmUmdH9gJU5YjeaLUPJ7N/J5ucoQ+N4l8r9Myx/xd33tCytv5a8MYDjaxrRUFP34vxJMHR30kguGk+ShZ0Epzno0BaqMT3Q3GasDHuBQSapo1lqUI9hK84pWUfUEWVhEMB4+a/FVOKDEBxfE2BdWDg03NzxK6k9guOERoS9sHC4pgWmR9ZEx76MW3FPlOaIn7CIsrDFl2G+rBpp3ZFyNCBu2d+IZHa3TI+ENKSJ9CgO4ZwepUlFQNyGuHdA6FZS04CoA8JexIH33wmNTp1Fw/C2Uc6HQxs0TVh8yem5amp975LpDBSO4mwglFD21wKynDWSaSk0gMb+VpztggZzSa503mUWjq9CXcAijJDC4Y04YrEFUhm3hDWabecO8J/TKdtrQy3r7rl/Yb/7Lw4X/6Zc/yeBDaaTq5+H/p2kR9au4WB295LPTPsGJFp7sNCSISDMtID+bYCxv6Z/ogn+/JaQ1+YQw8Mb1p5xJ7QGehsPLB3DxPTgfBAA4Gi8/Q3LAo5LmR5o0RUCACLCoQsRELeivaV7CROXn0tZoLvnfKE0Z7QCjhzN3T1dTtJWLCA+inVYfSplaY1Np5IKGENGfyNxR0fW3/wU+xdHRihlXWjYiQ4Wt5I3WgfLG6tLiw5K4qgfaJSm/VuZn2mjP5gEgu5eoHRy0nBo4MjOo5HXDRykvxFfud2NOEdBWVq6l7qwuHOymbYp5pWkrfiOZU7gwsYk0L8LzivvzBG1RzzQYTk1UgrSI6cLcy4JKQToDMuscGxcAtoBRwIkh5BwzvjxNUOGExRYRNz7VyAawVL/Niy+sukK3X0blvUvBMrxnU3nrsx9hFl7kGBm3DJMjSU2THTGOJmcvpbpkXVAfysgpbC7lbqyMBHV6cok7mixubyuFurKnOPDMRq0P7KUEU6VgIDVpw3IpqxNJn5XQffd8d3x3fHd8d3x93yEzX/zh3VhaSuaKJl5be4NmDiSLixg/SnyhvOlaoIm6KhuuactD88b0HcdzcIRBETpFkr3QAf1OiElh5kwpnvZfwKHm4WgvyGM8UCnfnArYL6oyy9C3FIyygKO4CuFy88lrxvVqSYcoe3MEhw0D0Y3dmRmmGCRVEJ4QuwGCEFZw//ob1iW1t1JmDk9U5kZd4wHGV+zu6cmhj3jrqGgNzLW8YiN7zg1xImPhxXTM0gFAYvor1kWKGs4eHB/SyrrysrCRLn4Urp75pUzYqG7Ewcoa8Spe5qAQP+OcUeNZEVdWH8Tat+eBIBkasT4mmVtNISJGmEJ1ln3zj0PhMw6WHrg7qOGK5geWAfUpbm12xDBI52mwa0b5/GcN0iPzOcmM5wHoZm9Cw17xr0076GBxYlFG18F9z/6O/oIEA2XL0ysC2NtbsfRcAaNw5tQ+yNtqwdRC7VrtKlhz/RIJw9kPRJlPoh21t9yPrfGvQQcKSwbHiDReK2gdNix9CjhQItWVlYHhEnOfoLhBpoIsq7VhFIANkl2/C7nFpNKJy+IW6F5kAp1xPpTWGisNhbQPTDMrD26B1rExV9gOoNjMLqLUHukR17/R/H291N/K9qhu6dGlA3KGprQ39Fh9KYrdXKWxVcSDoSgu2ejl3T8tHPt7iSfm1vWmrD6DIcXFrcSd8wXap05COTwDmUJoD2JO0wEcQTqPgFyS22Qhk71AsKx/WUiK8va+neiyZwFgIb9J+ouFEBNCAc2OhJDd9/4C5qNL45rB41N6mC06DRuYAWVduRxODzHyZ8uC4Ac3nJ6VsU53ApXn8l8BnehXFwd3luTlbVB4Ou6xXsX0JU6hKMR41eiA+Yr9Vl2Ss+yNvc153Pz2IB2LVbhgHiO8w1rlDcyk0YLqIN1D2ICgN0dpcDZAKQQZFkZSItID4RQO8SpefZlaWkncQftMF1ZdAo3tjhB7Y/MKYK4b4yx+4817IWVUqE96oDxDfPSPTYO1zw8I4j+lnXR6InzxvKK8UDJcEhMySgbRUB3K3HPkFkW5twfnm5wfpbunnHnUI1fc11qBI3DNauDx0cQcBI4B1c0AYzaWf8uOJyji0R33+hD61rzGnUw16XDGwnr//6/QoBGliUc/9xSW+eOkaoR0zOzgLpQmYTKuJfGC9mZFGgCDPEgUj3qTYvWPTT6WHN+h604i5cHi/OZajLJ4kGYsrS05fRM407qaD7odWkWWBbQDnljdbD+WmiNDNhXXbp3XibHe6fMQmsKOk6crtT9a01OJdVIPD22Pr4WkmVtZWkIONFFl7Vqh+EN9x9ZXmPxmodnph10sOggoU7BEEA095O1sT9JwdlPeXgGp7vWDkDje3Wweo3HUH5uzGZlgbJWD+Msv8Th+YmIE3XR2NYR6EEM5yYJBxFFPDj9CdMW5rG4Ae7Fr34p04W5c+0pinDwGL2me0/ScPkl6qK59jDURUNpBNFf0/cJp5tLD6LOUjHROhAoS3UO5vXPJK8bI4OHUDxk7FRAZYm8MakMM8rCXAAc91N7izs2tp6VxYNA4EESty3SlnHHskTYc/WZ9NeMe+6+p8MbyRszobODE1j9ErXn9FxhDXWfQB2gnYnyyF5vcScwWEJZqiPn6qg+g1DOF5yu0D0QxjpgeOs1PpTKePAnORIDKqYrS/dCazTBkkHF4QXqAg4k2t2zv7G4Rz6DCeKe0wUB0ugkvNpj8UqmS/WXrQuYWH/LsgTLicWR06XVEd2d1M4VCvLGnJq9xY7W1t3RIsoI7c15WKQg7nl4qWkreWWnAiKA85l5SEcKxzfUrgmhB2/dgDOBdqY9jA1UVCMAp9tp2tOSU7si7o9YpYGSATZRdxqe4V1j+cub1s+//hT7l7BoFo9z0RtCIwt25d4InQV1NO1t/XPMZ7SAkEm0RRG34lI3XWJ8K87T0/CLH4PbuwRkFo9fnWKwQCOkGF8LiPms0SI783Lasizg1lKYmM+q9rb4Ihw+ajUFrPB5N2EdzUmH0wNZUZcmMx0wt3tgi5PPyGfW3bLxpgc0Fo/BHHnZycC6O9YeUuB8E867WgeEiW5X+SDDacgj0sPXSX1NCDM0thN84yGa0aMd3KjSiLhn3tjwthEqQmgR6S44RUsdIYXdLcNEkLU3xwjs7ghxZ8C5hUDF8nOpA1wbt+BhhHbor5nXBtC3N4sY3nJ6ppIZZvJIt+jbisdRIUh3Mj3XcP5f/4EnP1jpLGGS2d1KWZnLYto5v5M1QOgAyUc2p4j0yPEN+1uuf2HbH0C7xihz8efs77D7CI5IXUeLBzbDp0AHG78M2jdCVR0szMwbHV9JPjcQvlGlB5aVOQ8giPO/4u77ph2Wv+R0ZY5qDHHDweKjdPcMB+Zzk+J0nE0Fu/VqydIDqaRBCrt7zudmCb6RuFJwrOVG9rw2v7iORm3eW5gYJqadGxGNWsmFwD2J/cfmWRw3/fLKZKbzCsc9y4g6Iu6JEyC0AEAdrLuRwwsYMbxl3HG6MlZqMhrjlqxwLeDQyL6iTBBmqMsEEA90TqO8AiuHd+L8rc6qF2ZapAdwafC8oPPFaYJz0dPQ3fHwUrs7KSvr7ptF6fnCuOOJODXspfbmRJB1aeoov+tGxeskoQCdq/5wZfHglHrUwcavJK8RcuO2MaFUOOEQieFtY9EtS5NCBDgB7nwGd3zTgzgaNIDujtMV5jNYZ+lR4pZuh+ZzjXvRaMvPJT1weqme3kgPLGfWgvFedJQMR7Kcxouzl7wyZ5PSzsporlmkNnLustF0K3GPsra0bSRejkAPkoY6whLLkp7/d6s/HJwvHFR0t5LXBnJ8w7hnXsGJdsbXTDumHadLuOT3N3QXmUpWWAcLFg7SnNdkeWXDtZSldbdCQCryRlmlLpp2ds3rhNPawWKjj/MrDNc4XJlkDjeMe84XuvxVI2OkkoD7uK5Gy9g43Fx9WzLtzLN6VMRtC5ykrZSFuQA07y1ieCNpyzLSZamR67CZvM/+FR5+bP0N69ic8v6G86XFLedzNyygToxdPWoCp3JOO87nGmY6frlkCQVOxpgeJZ8pjG4rH5OXbJxDS9QRccc6WNxJfKQU9nc2XSA4p/CduG3nL+uryVHtnebcyct9j0QAAO3gGsaX/9nPtLu36ULc0XdHM6+ai6NHKq/4yPnMGnK/RzsK+5um+tKWlpAe6HEg106HFxq3wso6IG25+NKpt+F8SC6B6YHOyxx31AhR1qX119x/pBYaTZQzaS2/cEuClqADnCWSxnTPMBGCuIOPm2+fmnB4aXEnZWlOdOQzoglxYt6YDWYB2nuJI+uA5eeiA0CUpXX3rCNsMHdLaKBRI8Kzf/pHHlKDAODyc+QzlGVLiEl1l6UxcEPJwrrS8ZU8/9f18R9IXpuricMVnWXLxb0sOF36ZoC6MAvo30mYnMwY/bXoAFa6RQnAVdV8bp7HY6EUhMzutrGaUjlvmoJLD5wvrO2F91IH32DNUgvvOANx3Ml8qXHvKOssYyOIowIG7d1rQXoUE9QFWnr8QMBJ4WBOifZMu1uxhPlCIawjygIt02vs750xD27RW7TuTsrGLGF4I/O5scKi118hZNShMXrVAVIIYvG51JH5zJx2gWieyvCO87lBUFZWVg5Bj7inv6OXrlEhGdOFhQOnZ1oWRkV6EAjmSzWhqBs11t+xjDAhfSU0HjCUha1+KXXZrBUq80brAh6Y0oT+mk7NWVbNA4g7SVtYpEUkr3MTOF2s232rz5G2mC6BRi8GZ2GQQo0oI7o7iTsCbf+zrhH3hZmuv5xk1v0eryNKO5owbRvTQWiSwzBxvtD4IFJbbVtem0UnuHP7Ds59UNYassDY3Unc08CQCdBdUqAZ8mVl42tOV2bBLMAJCyxickKKCE3Gyrx2D4ZupZVFK9PobzhfqsxiAg+7IaDtnAKZ2uYat80jdEnzmZ03VkeWBdIjfTF3t81DpaIsLe6bEqS1mCGCx8ytv3GGApaN+t7jX3kJkufknTlUO3PvLT1w97FZQDwwb1AWjR2usXN6ndXMRvAaob3KTC+u8zKKulTJbV8sa3M9GGZqZx6gjo/UzsY3ks8aR7VFd1hhCfFBZGa6l+33AaPvDUbA4GG39NAuTmvWRtvbAsLsbHUA6QTVcU8pzTv30ipP44Ot+GXxheQzg5PJlub/eSjAS/jGt9h9zy7+vJHOEaDC2GK52jllA6ktkAhi/EqMoMLp/ixi8zPkNUEcrvjwo2MUpLS9P0zI5/XZH8v0HE4T7Gvch1TmttlrIgTdDfPKNMKD/17iYamxNmhvokyPnC5ZB0xXaqR74b7Za486oqygA7QDDXljTh7oKRjJ7O+5f2l1MO0tbp1bhPlcw6FdBKR2KCvLZ2qkdqiD6ahuYPkahKB7cA+MILSz7ja0kIwzxfTw+JYFE+ceLATR3Uk4UCotWXj5T/5Iu2ZrD+9ggfkMFs2SPfsTjG8xnXP9KXafIOxb5F2TSZX9C/GqGE+WwGidodKJC92V89uUlYad1LGFTdyyLisz4lRqlR7QaLlvRWZ6fUtZW1lYmKUuFILuRpzf2hLHr9jdM2+sLCwUSkFdm0bTzlgZ5haG1sGMHpRD8qKyDB1wyiu02rAF6pFQtS7N1XTjvkzNGI9b6sJ8k+tuj6HwABg1goR2jT71VA6XHliX1t2KDrb8Fbt7TpeQ4+O5UnBHx8v26mjWW7qXIxsQylL7m1B7g0EUHo308fYgWB2hEWWjFlg31TpLD0FmzlcqM7VvPPZxx/0L8+ii+38QhMz+GtMzLSMXXzI9Mp+hjtbdhjpYmNrjlSXcQSlLbTMbESZOlza8EU2tPFJ7k0x//rQDiMNlI/7pbyWvrbtnmOiM9/lcNbZQqiXUwSS3OLL5EtrU8Bg8eeBSJ7llIrs7lrV5vNtlrC4gSveA3d708M7iVWv1oFKHxt3uyScv+PHCME2N/xTA+Aa14+EjtWCsbG6rsaxUirTArDLupPnrXZP/utZ0LyAgrAsneIW75m665rU1BdFBOwuZmkxqc1Z0sHQn86U5x3FZmjOHxZ14vDrM1AHpgc7+7hu2h7aksI4aZvHIc12YhRZMQ7Qw82Rk1JV5tgNE2srue9UZo7s7euAlboUVYW6xU7dbh7csSzQjqTfrzJLR66SDSWlh9pBd2kNemlPrWrS4p8dMZW6pu3igp6Cgjds+7Nk9UI48YT6ePs5UdzqPul5RR7v6U+SleKTOd+V8rmd/GfJZczgA1BGSGQ+NPnzxiiZMO9QOENLoWbfaIxwozkAaUDvOVzpdtgXi2t8iPLjKo0VVztSzj5KR1wiFIPKFhj0lc/cJysqcStiC1RHpnhCWhVmEBSIAKrU/huINm59hvqB25jY6iNphfM06YL7Q7l7CgZJZlzCBUyX116HlwHbMa6OirC09UAo0Ij3S9yofIplIw+qXmM/anILQvmVPfHtzc8e38EY/LzBBf9toajUZAizCg3IyEaRvHB6N7O4o1V1DKQvThMVX9BXqJN0uMyywiOGtOGW713OC32HQfXd8d3x3fHd8d/x9H+HFf/GH8DKYirICBBogldpZGcN0yXBg7endcx6m85imBzc9xOFB7XxmYAu4UQlrOR4dTGby6D/5FioztbfuVsLE+UrdPs2r1odRR6srC3vxuLYee8fcV9AIE9bBK7vUS/vdc3LX20Mfzv/oIVqvNYgHdg+cL81trjrY+jOpi9Zi6WUacSd1qcMb8a4gTRYm8f5K7+Dx0pSyhBR4hEoKzv9f3X7shQ+tTCXMlEqNSHuyMq9aDMc9fe1s+W/Ze7NdSZIkS+wcUbXFt7tGREZmVdeCboJogCAG/IR5qCIIYn6JAN8GIH+A/AO+EPwKgg+Dnp4ZdrP36lwjMta7ubuZqYrwQcTset7Irtd+CUMiccPd3EwXUVVZjhz5VtwedadtJFgYI2xLh7hYcyfNPfPeJwLdB0rl9lvsv0TtAaD2gDjBhAFs36XhmXqEKXyGgvHCwvcoNIbpFj6Khp49Zgmlh2Vsv4a2ruh66B7aWvMgXs/X7XoprGtrHpgGemgNDPepZVhm2cyFa3sLH4uGIu8YM/f+uXNcmyjLC8BFse6Uo+QHutXo/3mu23RmzZ14AIAGXaG5l7qy/g01w5M5ArfJcDJbisSj2luaXL31bPPIpAnHQo/pLPwJaQw/nvtRLaF/LQ7lSEeBmCubF3+L/ZcekTYZJY3hjnMfQDqSRu1w9k8YLgOQ5o6v/i0t8+qv6+qNDVesG1v/IOOlBTDSQxSdSZGyNgfp0TCdm+Zw0xGQkVK5fsXaMj+wf0+Px9DgNrGMjOiOwGPjEPiUwegQ1tWPMp1ZXZknG40XliaWlZVNiJZH1N2mjHz+UdJBRDnXAwQEMkUkEkR77yIBGmtn2+9wfAYvV5oGWEbtke/pccrmns0ew7WFO2QLS1i9YWDYIj5Kba25k+lca5M239t4CRq0iZJc0w7rH9g8UEaWDRyR61ayrxHLGC/Q3vDsn7B6g/tfm8thPjDfhxNlOjNtLB1ZV8bZL+IWUnPHZi9eQ9laSwd6qhCNZW3uYqXSF7jb080+ak9Loa7Mp0wbRBSjCRCEJchId4lD3FPshgJB1LXR2NxRKsraWSF8zOm7hwMf8oMY6PCNujYq+nfs33A6A427P+D4HJYD81Z9SXpVvdYrdHMGUimVu3/GdIbmjl53ta4tHRwK6BEBulwBIFH7SGcsGzT3LFukge0NmwcOVzZdqNfgTgOkIB9FW7QfZDw3r1PsRpV2SLt/97v2ht2N5QOOz8I08yTT8VxrZyBYWDbWv5OyM2uQHwiirK25l7wnZ5BY3tNjAGUTVjbcPXqU/i1rDxi0QfdBqKxrANTeY7xIe2oDqfTAQH6gZm6/DQSdZ/81d6I92o+0HHAUVtYOzZ2sf2Rtqes4MNwJA2MaY+LWrzlcmxRMZzPbQqG1yAcOV9a/53Btlr3eOS3h+v+12gYIxHMA0xjOHHNf/94rHAfc83jtpaAxu62FxrqyNBGK/p0dvnBUKMcLs855XyhzpeTq4QGnLHJ56o1G91zVDbQHQGuQRg5XVvvwWsRJPzFNAALL6/6QOD4nQlB7SyM147f/1/7ut41U1JVJQVlj988cnlntUFYLbJLtLUA6jI1GE+YHTpfa3IkU5iOHa3Wsv3bo3zAf4EJvvXHyfE9YE6QD2pmMgdT3rllj7noiULaWjyxb7d6l8dJgdL2h/SjTmdLCv+p+Ks3hdHaPfwTPGvORcYRb2VhzSwd5gjDBdK6+2MKT3s2uVMQ2XVcOirXVGxmeqWcuuw+wrLW5E81GmyHvCbU3z61++JOIvX/xf/Pu1/BTzeH1MJAetuRwGXOdH1yFEgjaG+xfyvFKCJYe/TsuxeM9dAqBlAA0ss6+lGzUULBA5Ad6UmTZoGzgGeUebU4Hae44nZuvFIDugvMNxVqkfSQ5rF9xvAxCE8dzL1rj7p9wfB6ZuenI5l6yp6ke2b2ndsDsRhMN/6coPRKQjx6PAUHP/9XWQM8nNde6ZOLqDR0rvP0GJo4/xrQDw48a0eLuozg8moB2hEQYP01s7sQytGVdAYays+ZWZATgQFxo4753lUmGKwc0Ai5ju8ia8B+Khw+PTCWmIx8jd9j336AV6I1A7WAZ3Y1rn8wHlrOAI/oJ3TwEQqS9DdgOiLwX7WBEZNdeVm3C7WzE+jWbPceL2FgicaJD2aB/Q4LaWP9jcsYA7TGnl3LzysPPCNhwi8MXwYqkLcvG8p5R5vwgaaA2SAe2t0ILZrLxwtqPqW6MVSCBFvEkZXfbIrymjlkzD/H6cTsja1hWKGuULco2PITNvdBQ1+Zbk8Oaypk1d5zOzBJ0ZVKYLv6H32nvbaUMLGfm7m+Pr3qWuGP76gqsrtMFDAYJZRWhEScCGa5nKMjKHFHmq7eu4OlH/s/xWWWhrswDd75OpnNFQl2rNa5WQCaOF+avc9zLdGae5e54kjSF73K8gFRwEhnE2UEcmO9AXkuYzs1ac/yVa/e+tDzfGIzYezqKBy1qw8MLqyu0t/TAQ3MnHjJx+hBt0X6kH2yW4Qdw3ktzT4fZOIq69qg98oFl565Slo2uv0s+Z35b94HTmbkYWcb6VYSv0pEmLDuVgTCs3hJKbVE35in9HquoW8t7OrdC5JrcS96z9kBG2tNBzJqRj7z5s9YzFQJHoChrhmopCKPWODwz37gtYTy3NMEkNiiTAMLJyLIxGi2xrgJ3ULba3ooDfobnahK42+4DZWIa6PnnnrKz/j5S/R3ZAYUHDwA4eqXs1FV1qdDOmgdfYxHVA8CK9WsevjSZfO+mx/nGC3PgmXbQDlTKwHzAtEOMDKGtXfwND1+ZDHNcMMFzhhx962Bi80wA5fo1mzs2d2zuWVbBa1BX4Qa4+43lPU3Q3vDwsrY34kq3TFy9tYdfWj4SxOqNHV5a94FG5COOz0w7eH4CjMXBIx4Dm5AGaW9pGWlimlg7dO/FtZ9yrnVtLJIOlIKywfoHdh/Q3uLwC3VzxAHTDlJqHkQb85Pb4ysv/oMaZbyANuauDo89SEFdmUNqpbD2YT95hNyVUcf+jGdoHjhd6BKDdEAaZjiiSYRqLEeA6hG4tbZ8oCMeh+fGQoDjFdevrH+L/i32vzBHdkyX6pkrq9c08Xgex3M095AR06W6cZwGajYTTOdmgv4ttcV0ob4bApGHVDbmJ5wlWGP5SM3QGUCkjbUfZLpUVxBdWVm9patQ00UA2R0z6RwE/TuOl1b7MPd97/aVkgb3NvHFX9SbP6UUsIKVkaolEYc2xkK2Bu1HOT6zaYdU4El4fmY4sUI6srnD8EwB9h+YRjhG3OmCzv9RDy8koi7G9iPrxha0XvtRtt/atA3snMuGlFh9CzKobAyGdGRdRfi8ey8OJxmeqS//fJCytu6DOD62vZH8wOmypr0gwa35/kfJB8rI7p2UnVHhS147a+6FgLZmLbT3RBrpPki6/re/h6G20BapsKyNRkdMpolS2dxG6tMStgJQO6QRxZXNkaxBCaMrm90vBmD7dXLaFTdCXbjznmWn1lq+S35OOA6qrq29dUQmm3tqhzSxrACgrjU2oMr2juOz2r4Xb2Teu4E1u/4scAE01p3KxHwvad5rwnz2OFthXVvei7sd6tpAtLcynakD6jzpr25sUc1EGRCaCm3NhNoiDWBF7cHK3vmsLICb7Q09sWbahN7hNof2KCvrbiSwi4woIkBtbNrZdGar1+JWvztGXLVpb0CLY88DhrWLnIygAjOsX3PamXZo7uhWERHnhCWrG5NKAlJQN1Z7M6EldDfiHDAsnC7UsY7dTURBs+84CdqbteEfI6FrzfcSFuqsUmhndYWyga61e5/K2iyZ++K0gzbwezbfyXBtZYN8COIZkmmYAaNdjHk6RNTdj590ZLnUPHMV7v4Z97+B9pYOrGdqCLyZNQaynNV0FPexuEu2bK3szM+JurbaSQyRBsyvrBHwX0LXZhnpQayFCbRD2aBsMTyz/CBla2mgdg4igva2/j55s8sGtY+x9eD/8Fzd4BjPZhSvoK4ilcrFwK1qt97KxiPtcGPdU0DKzrRBsxdtzLLBsPoh9e9tvGR+4OELqx2nLd377fRi+YHWgupbv+MLQrGrjQxX6N9yvLL2jk5/VTYWLtMOV/+f9e8NivESzZ1MZ6adjxIITOeaRsrA6UI9cdD3KWuweivDpWkDa62ubPVaxnNrbyiT543GCZ3vOV5Y7UHD5d/Yw5du4HL/FYdL1p36IFsOY8KtOu0R/GEJliOhsL0VN6QswxlrmvvAeskgbujkI+vKrDVPMHISnXQk5jRBy2juRVvzFBwZWHZmCQ5GYGXtrXlwh5gGAHKNuoIjYtKRc3Lu7LGwQELe/ZpIAWV0WGM+hmxLYXPvcQHmva8dswR4cpBRCmUGkbsTonagcdph2iENMyixscNLd3CDlflII9ob5gPzntairlA2DNMkG3xDNlhCdxMWG4H1K5HK6cy0D3yUI2C1h3bmm4w7wCxB15aOLO7dbS0dxR2brkvVVeAba++uZrrGQLD7iLJBsFEXphGWPsMWPl+fr8/X5+vz9a99pet/+/v+LesaBJp7TufWfhAqywZ1bbW387/HeEbHqnv8ub2Turb2TrRFGsQBCc0tpzOYYPu1DM8sDSKFdQ1nVnY13JVTp6VJR3E8cQA6j9TePA7k1pwo0xhxb+0Ngv7HVFc2natHp6yBjByuzZNd6ioAvukYwSq3hByk69rH8EzdswTAErr3YSp6zorzFXoqsiU67sBV/uZePJu67Ew7M6FzH7S37D4yH1jXoGG4svVrWTKrkSL1p7l3Nyte/Md6+2fh29Uugj1O5qEtundiDSKzGtTGqOzfUnsQ0BbTFnUDFj7/T3r3m+Aisjnp2l3q7S3HS2hrMHfZgYq6QXvD2ntKqYeFXa8XT+yNaPMdQNQ1Nt+xbDBemPNphn9gCrt294c5Z6izzTfJs/a6G05ntv6Blujz5SErANtvpLmnCWWi5SBpHs8Dyu+hSyQEnfaRHp/v33E6N4KeVyFzsm1Y8ANdEX6MMCc4E741lva0BGvhOpoRnouWjnT6gNrb5V9x2rF/SyrO/slWb7H/krrR7q1YRl1ZCoUa6UgYy049l0sqp3PzxAs34lnnWEjG+T9Y7QXi02p574lNMRTt7SNsxL18UugGsY9YXZvzgmvLsjXn+BgvtPZBVemmYf9W2o+iHbRj2ZhzcXpOrgxMx7AO856sdHLxkJM+0CLTGaadtTecdh7uIghrTEb6apo2crymZZY1kFFXzjFBGmsH62z1WqxB3RoRMP18YFlb3nM6Dx5S6ywdxEENIMrO1j/IcG3bryUPHlpDbXH4gttvkQ84vGDtPWobtq8RXp5g/VqOL9S5V9LA1VvLBwxXThQdCbBSoY0F4VPl+d+j9kwjy84wh7I83ulZqFd/beOZxF7hyJoM7eDoG0dd5YM42t7pf1hpEtls/i0AVl7+DaYt+3fB9ON4Kw981tkV765RZ+vxWJobT2mgNWFttB/Z3NHT1d156+kungFS15aPkT4FoPa2fiVlE0lO7nnr33G4MssoGzQHelzA5cfxBQBhkTy7+pHTzroPbB5YNtAWZRNp7G6nrL+X4wvzLEMXP6k8/ztH6wTuzNeCJ+HVtS7OnuaW+QAqPSgQPvy1jZeRVwTMHPDGdPG735//o93/KhwgRkwXmo+y7CaaJR0D9OI+K0+qkIFpYqTUCiB0t/XxGmmMDdq5pMrW8j44aB08JpN0H2R8VvsfUxoiLOlkKuOleRSqe8/x0jxGHWSx7uLsjcqLv2L3EcNljObxhTmyCwZdRbJO7W39QxquVLs4zPwodX4gd6aXrUUC9hzl1vkA6z7QAVQs9GzT9iZSqZCCJMNSMHSt3mD/ldEc5YK6Mm1QV7b7gxyvYQ3Sgay8+5W74wmB9pb34tAgh7r5GRYQxBJUGVIxnkU0rq7V42Q3f8a6CoJhn1Jrox6BCa3B+js5Pre8J2YQkQeTpp26k6396O7BeZEkWANtOG0tH5gGpCGYhNwZAjAN6N4zP/D4BTzyoQ0cZ+VgnrwPLrizf2D/jtOWzmoBYP9L6z5QJrR3HK6svREg/GAQ7P5R6grOWOJ+vObePUJGRXsjaeCywNKB9bz62shHKVvtf0z5SCOdMofG9SseX2q+db4J5IHDlcJYLmv7LlkGgeMz1N5gLGs7vOThBX1J+JmNBHfeupd49ZbjdaT4RQB8kOSFGBh8Fs7ctX/JZs+lilL3ntagf09tSHU+ZtYVNj9EyAqATNx8z+kMUuDLuL1lWVtZW5753R314GEDj2P78eYx+SUNDgCE2qN/K7XH9hsMV5FUFxgWwsFyHsWZzm31Wuoa61dsHlC2aO7ZeqjyQGrgdNpbli2aO47nEUtmCaTodGYwrL+XuoI2IOjhECpXr1JtITXIvD2+PVxb/0a6W3v4FcraPPQlI4crDFeoa5NCAtZCU2BMgueisOzm1Mhb7r/EeDGHfjknwxo8l0gzpPLwZYQetLf2g6SBZQvnJ/OIQOmk9rZgw8oKdaPWWn4QP0dBqKctX5izbmsDT/wHcf2XLGtqBwKHF9Ae0zkewwFHjpdzzZ3WmluRic2BZYXuPbffYP+ltw1lYx6Bbu45PLeywXhu6RBY5eb+kQsxoryuPJi7Lufs6YJZBmgJZWPWmbbO3Qcp9KA1ErZfs/vIw0s1oWY4lZSrs9OFhscsI9ySK9CYD7TG/IDJ99z/IlrlgVgI8gMj9dMJkFZmjaVB6toCW5stUFHuERWuXtMZET1mls7+3e9YxcfCPZ7lXOVIqUzHqBahK0wb086ccKV2sMaaWxmv1WcRgvUPmM4oE6dz7d/I8YVzX4qTd5Wtbb5BPqB2wTpOQ9mY00LUrToQZVmZRjjSZv2jeBUDKfT4qq5VBjk+w/EFnMrl8OVJQiJRt9q/SZZQt5rvZbpQy8h3UraW79kGCVvwvTrdUWhwOUbAD/lpi7JBc0dLaO85XJsJHJQpozR3tBZlZb4LHF6ibrS5ExrUhViQ9lI7NncsO6sdvKd5L+0HaR44nZuD4vJ9mEFOMRCRoR7bb3D4Au0tpzMA2HzH8Zk5eNQ6c1h5/040oeyURcKLL9DWhi/UQcm+VbkxpB2sNYc1GgkgjWEFSiWA9o7DtaWB6YjjS/O4pWuLooDCMcqWPaN5NuCcINW5HbeW91L7AHOL0hKGa3MFs/ZBgtncUwqrZ+wayhYOG2luRSJaHuVtVm/k+EKrY4s32r9O2s4IJcQhGkRqRHPLNDJNXuGGvj5pKCsQ0LVxEo/ZAAAdKRrZnTSko+QHDs/VtdF8IIGyCkixZXoOqUUBN9aVOU4hjUGu5ah0ryHmYI2ygvYBprfsefK0xhzP4iK3+Z4Pf2LpiOaeokwT8wFOhkYLSKenx1tjuz/IeA7tzZkY69oc2mAzILP7yNpBV5Ayg8rEo6To33HaIB/pjIXtR6lru/4vNq1luDZnY3J1kBW+g3jMwDJM2N7Pprxg9ZbDtZUVvHYMwNrOhAjZkU50Wo2ygWVzEl4H9JOA+kkcRl6Er7qZhNA1ZQb1XH4QJ4+ovXUfRXuTgYupAUG+l/FKXZ3yAi7ebG2DcNkaaKIU1p36injxH/Thl5QaOSFlHTSVADCTKTu4PB9l2pqo59TDEura8gO1w/6l03O4g8kZCKldLGE/D7r3EtjXgQDKzsq5Apx2oYp5LmpzJ9qZkwYtUXBtrey0vZHhmdaVjy3qSlmZZ3R1OtDtGKlo7oI2wmPMHm9yapXugziUv2x0uMZwbVTkA60NVqTaYzp36jOmCZbIhRI3mMzmxIBFeXWwj8xkEAbtIEOUR3HKD0vYfuMM0YEgddQ4EsaLhdeRlpEuf/87D8X7spx2hhwqxqwC0CHdC0fAwnAaNWMqAZQ1LVk5s+Dp2qoH37RDeyN1bdpy2qGu0d562B+s9Cxi7SED1z9AW2pLgLUPWLn28LlkpfM4aW/NB3GmTinBQOVcbd07STO9t67CU+Ek4u4IQoroIn0lAGd/wHCJ5i7YOxyV2H3kcGXp4CyHqL15XnR7F1aRF2cLUNDMHut6RHvHsrW0Fxm4/ZbqxLopVoXbXoHom1dd99GD2B6udHie9W9EW5YNaofuY3CDwmgCZJPgww6GAkd8+jnkCTFlY+koXvPNk6jzXurauvepziNvCfkhsjc230vzwPEMdaMxOCmM4P7HVDYGcPUmVPvuI8dzc03TucaDSHAgSMeM+v7u47bYze6HtGSb71C7UKnyg2iL9kamyxqclc4rKLELuzIBdXMTrATZPIinoPl+WrdqOTx1dRVrOx1CP5WKzXcyXKB7J3UVlMOW0b+V6cyah9ivlwpM/Y8yXRdUiZhta0CwzFEj2OusbvnI4dLKBm7WOEJXe5jjDY3mwfMxot+uAXhaXnMnTi+rLT1HwjLSAVKQRliig0fW32M6Dx9sHgL26aPafqQljufhfEtBy8T1j9h/ZQRloK8dx09ri7oyLx9Ve2y/Q+24f0mpNPExMe0f9xf390rhdOYJQ+FwdoCvdmg/svtAxwg0DywrXP2VjefiSHSnRKpduAH8SGvuhcrx0rqPbO7o1K7bb6z2dN+sHwirV9LsmQ5cfJu1s+APdfd7Y+7cljHweMHeu6cj9/x1XmOMU+S0aRdIpeOVuBboR5pDudavxOdlOjcC/Vu6h2A68yQBOG22pzBatnyU8cI8b6bZM/J15BFtlMaovHX9X2z/ZWwRlgIG4uCm5pbawc9aLwVAY/eOZe3k63Q6Et9qXKie/SWkoHlAWTMfUVbBKLH/SuvaHGLuB5UzqftSBem2ftlVJGNl/1bKBrs/YHgWChYEs1r/mGw0XWtzL9qi+8B8nPkaMtobPmI0vGhnb3kvaeTqDdsbDhcG8RwhOFrSRyZ07krXFONMffnf/ffWwKvkheUOpIHNfVS7ctoYl0WH2fiW7RTLzvjiwMc0sGw130ves6xBZXMn1lj3nuOF5Qfx088pQadzg7K9oxQ4mlbbYECxhN0foG1Q77nbzdMDA30vcBCUQ3LzXsq5lx+mdujfyXipm+9S7aB9HODa2e6fZHiuAPOenldh2aYdHaZCBDOx9pEMqCvzuU8TPekn74M3EITbsPmBQUCSwiXie+XqDfOeh5dWNua/jUOoiWybug5RSEfmPaYzOPb67O9FW6bByTbozpzxwsrW6sraW4/P0VO7pLB/x7JGPkjdaDClMrj1tJ2zR5OnUNAaTOeaBpFKFvTvgrxr/YMcX1jZwgttASgbS4dg+YwEl4kzw2agFrW1/CBeH9ZtwTQwHRzhjYVzdjozpMj+ASHK2mHazbaIIo3cfY3hEpp59g88vAjiO1EOz2o6ip9YzZ0gHNDixMmA134Oz4mMwRnvMZs0Mh/h3rPp3NQTjyrTFH5jFydPa3NfxHSuqx9DAXIycs8HcHSoHz/hy508w1ecBo2K8TL4ctobHl6qC4nrK54DUNcujebppTYTq7hCU9fa3ImfUtogH93zaVJwfD4v9WyRE52xei1OlOWFUZxcUgppdKo6T33T1tq7QP3Sg7Ijkegxg+4jhmdIRzb3QYVlGdoalOpMiUB7x7Ixo6c6hdlNIB3pMZvx0soWZWPpSMs4XjuRIKTAEtOBZav5wNWP4v49qZiu1KNZ2lA7OGp3vLDhmeZDUM4Mz3XawplAnVwfAseXSoXv/h7iavZ0hkZrXetHfmCzJyTcbj4Fzb14qqxzn7v/3KsHlK3JUaj0wKR2sAZejEZblI3VtS0quON4tYWX3vDdUiqMWP8gwzM10ofap7j2qC32vyBrNJgK9xMuln3zIHlA7R0URxryEdO5OXIw7SmTpKOsXnO8sLN/kI9/boDUFdtblE2kQGgTvoS8l4DjdhEXdw3bmke2swAzP1A7TOfo3kXGm88dZlivY751ZflekDGTt6Gubfu1jFfW3IfzrGzAOYMljdz/so6X1vpSHQN/OIdaMJ3NkGwJcLk29hlB9/n6fH2+Pl+fr3/lK138/nfO0W1BS4z+rYznBkZCYhQpySDCyb56LXXldpbKxKv/zPUrjueequ3uC9pMzdvsRRvUnXqIlRb59miMitqjrCEaTC00Oo23iXiWuBe69lwEByw5IbfrNflAV3mAuZywF87qUNZIE8pWrTFrrLmT4drSINpY3s9eoFU4tUL1y8GaPjyz9kbGq+pOgOZOamurt7QEL23u5aryA7WzdKDzr0xn5rUzyOiX2xCumrnx7sVj3BntbbaM43MrW3OWoPHS8709em8mWIoxu/dPCtOB7S1qFyi+sgnKwhmOMVNWj5x26m5rp7doP7JssflOmntCOFyam1Cu3rr+mIZI1sv7qIjh6av9e8Gcu147wHOV9iwb9O8915j92xjVuXCcDc/cLYnmXmoHRFUxelUqz6uVwuEampEHHp9D12qNaY4KdY67YwlC8f5H0T7oczw1x5lj0iT9O/bvrbmHVEKojTnTEhXTuWpvHrqfduqpVA5KdOBZ2ahXmvcMJ89S9EiYVDY34kHgfC+Rvt4bFd37GFvH4/Tv2b23/VeoW80PEuM5sm7U5Q1RWYDde7qp5Niw9qNM15oOghTJhtPOcVxoP3J4rh7zT4HwBATjGaYdAvxypLZm9KAjkDDtAEPzwOGZaYOyhhR4ijHIslUHkh2+giXLh+BrgKBszDlK3Bvha7l5YOuAhSbYVB1qqw3W33O4jHSi7dce8zPXuKncfIeyowlFMZ0FrxhB9xunY0TU0pHjmVmGrhQmzSEkJB3FE/L7d/Rqddqb9nr9F3J8jlQolf2bcJM095x2c0aOM8x2Vjtr7sTLsHkkw6t5NQ88fmH03hh1pWf/kJwQobvheGnWGk2GK3XeHctY/yDDtTLsD8/qYxrYv5FpG5DI8dKdEksiFKw1KPt3nHaWh1ieIJy8wPOFWSkDxyujoq7Vc6SOz0wKNt9j2qG79dALhitzV6q7Q92K9YJhzQMdIEBjmmZaELeKCCPrRjffiAuPB+faW5YNvHhNXUNblK2lA9MgTkDseCUqtDWpbG9CThh1v5COHK50OrNpZ6KsbXj26sYA+rHiSWDawhqzjO23GK4BYXPLugnLmwpdWfrNb39/eIG8p1Qcn9v2G+6/imRGh6466kxbpIM4aRXVnSTxx92f2v5L5IO4e9Fhr3HQRZUU09lfbA3yEVLIiUTEgR1rlw+UKYiqahulz4LBzCKNyykYooBeQtlG2aT+XerfcjoDBM0DnWeouYvYBiubfSCJtUVz71mfdHYZAB5UdE/gdGbWWPsxCOJgsSnXFmVt0w5lDbe1t99i/2XAPZy5XUY2DiMmQDjSOoB5nTPFiYy0xs7/juM5856smHYGw+qV5KNnOzPINjQKIoRgSRDWrV/bdEYqnAdXO+s+BrQBAhmYH6g9mns6e9XsbnUHI8oWHoKybJ6ES8X2W2nu2b/H/itr7qX7eDL1DaRwuDLRGaKjQWfikI2ygsv04aU5SsfB3+4T8OAcLIp9pYP7eaI8BA2+zbU3QlAqDOREy7b+gdN25v2dcxItR6CxuaNM7G5Y1qg9+jfMRzs+Y9nQQZjuXtOM2gFGCGprTrHl2XaOAndwv67UmXI8EdIph/t30jwEptbBdVIAwbTzhAd4NeGyM22R750lyB22bG/E3afjVSgfoftFKr5jzGJm1685XFg+iozw6na+Z3mtMxN078UBjV5ky48NdwElT2a8FafXc2oWKRwvtba0NkjhtLF8CASzA1U8xg5B94Ev/5/hw3+dHN6SBiLDa0eF87CHVxScgx/U1hx4JhMnL5b6USyz+0BLtGSuAN3/RsPJ3EWUxRI233O4iApsADxNu72lO8H6tzJca+0tHcWyaUZdq6dJBg/hxP2fWPdBIgaZ0d6xvSG9GlthGlFX6N8z77lwP6fCutHuneQ9jy9sPPcET4LIB9YW/XsPR3nhKHhcpKy9EKKYoGxCFZAS9dWc+aJu4DV2ZaQonaseM6eU4wuGa129jtqhMnE682I6xkKZ2H1kXbtjjbWHK8rOZz9cxZp18rP2hsMzNeHmO44X4Txsbzlcq0us44R9YNNAKJ0IwxWm6dxAdu/oRelqi7q21RuWFdIUAZpAfvVRs81jb5rpgUNRr+ln7Y3UDuvXdH+dI4A89CCGcl7TQ2KlrnT3jzJeonFag4R0lPHSqPPNZY7QN8Zf/e//XtbFl4mOKfVFxyRthbEOCQAM0lYApvNRX4lJkIxZrYo0FYBOiWIQg4FievSgk9MEKQir4YVkVlPCKE01DVcmDDYm5DjDKEYxLc5lSDbqH/oPbf4ESrO4H0ZpFEAdhWLLc8whzpVMBoNVYYqnAfBXLPd7Y0gzpVWJtbI8qogPxTxWVSexQgDSVR2S9BWAFfHO+g2gUWxG5wQbJgAKzGMASopRoJNgaYlBGtVJYIyXGrUuT5l3thz1MUmrkwCQbFopWXV6HAczOuKOYnrIAJrtWKZEsZiX+cH+E6uM0QZAiM/LgluzaCGTaTl5SxFp1PTxaSJWhpS7qjOjjyklmZbosj+NRD2m1FetjHmZhMn8zsBVZtVJTCmNWolJBKFjSl31kfQ7veOmPggp+pVVUtQc1MlZB8ylwpQ2etzfJGvKOh2zS8tPRoZPB9PlQYcEIK9KOWRpKwX1mOJXtNRVq9QiPnqpL/WYmdQn12VsEUgz+lDrmOLDZHWf2ca6gJJJveVLY3JTp2OGkskASFtdqq2SjIf7yMMIscdxGJM06mPuD5RsWijZzBCzb4CRSSmoQ0rdLP+Vp2PiwkyBGayEGOemltH3EDLr09lPpmMCYJMga2rVJcGlS4fEZMt7vV8wmFJyzKBPqz+zjvMnAXMGaVaF83jmvpRjZor14jvVIvO+S/g4xNQzlqovTGlUC823i0a941Zn2OpPF87jPukDnjU2VcQ2aEYyXhpLSbzNmIVTrc67gfJR2ieBMXXVR8mUVtn0RY06JsY6jS1leb4k03lFP65rgxURn9Bl16kSm/8oLor+SR2S+L6NR3nQSZjVO05AlTBokWY11Sl585jMt4V6TD5fvp/UQ5Yu9n8XSP7Z//E/p6QpKYBaJedaShIx1ehGrUKah/WXT2qVlFTEbO6DVpGkAETMjPVk03Tgu/9cq6SsqmSAieYhMGh9PBWWb81QS8p+2im9YSK2NEaV3jYziujcYJhBTg6Y5beLrKekJEoRb/Pp07x5Zo+LbRGdtCxso39VqwDIuapKSmoGVfHRy7nip5e/3Yz+RrOffFWriOjyXr95abC/FCfr33uh6u6kmLLTbi6NXISSNG9w09Tlw2WulwldfrhM3+kVx/88QcsN/hzS5t7Rx8eH5bQNqiJer3h+WinJx3YZVf+nGf2Hy+SmpKeP+nRMlp+cjvAi4csM4kRUlu5742uV06HzVy89MqMql9YuDVCVk5/HEInEBM2v0OXJqnI6sy4tPibLSJrxdCj8h8tLXapT0nHMiwynpL5mnwxLreJrc+mOz8LpAD4Rm6WRy2LJvj3Z44pYJsJ/rsrl5ynpNCUXUe/CsrK8GUsvfGW5zLt8LuvXx3MZuuW9p107HXPgJwt/7gW9GYv8+2j7mPiI4UT+T6d7EVef9/m2x2FcXuqTRdoyXz5BS8eXIXrSBd8Q4gzWx84uk3565+nO6b1umupjeLJ1nKhN8zVvko97u/di+WTZcHwzWWbHV9ypSPgrfFiW0fa++7fLK+ZlEjttwMPm354OYB73jWsoQBz+rtRYEdeA6kNmV/0kjKaMCZPoqsQZ69aDgcmskK1aCWVksVowtwyFpa82CRtF1FuG+dapXAwgAFYpbbUqdky6mQDoMUtf4vBfRliJWZcJxURpobIhLBLAXFIr06q6AuWGlymtCJMtLQlbRB9bApyYdK5RirnOBUb3p6Sh1SbTGlp26WoYfMo4/xsloYWp0TrNiQyzYedKhKuK0lR/vls5LkmuiTPpYqFKMrN4wvIKV6xSo66nY7ZoXWXzAZnGvCh9ix2ZGq2zlRPqoS+eOtf0bDRGg48vPb3Npz6e4IJUKfnELDZyPktc7XIrIUSCoSLVQ3Kl6dECsJhoaRQGHyWISaPeHjLMaMmzRrlI3SwGesjsFugSrZAu8K4tZaWYa6Zm0TwNU49uFgNgUnWZMSxrpw6J80MeBYaxBCTPO4srkm6QibnRRjEbpW6KlhjMRVusQ6LYdCKcrnhGFyrZqDRah8RkNgncPnNDyj0QS5uPmV31BszDAorpOPszQsJVp8Ssp2IZK/SYxlUBYMeEbOGr4GODI8la6Z4SEDqE8yCskyGlvppCj9lbDkArzf0BRrcavcFMppM8UcbdJI2hwGwBpEcTR8fE+asTC4CxyaYwlKeskrU+NEiW+hLeET9cLVwjfqe0dbHzljFxAZj9NAAg2bC4ZE7s+HDGzAU13GZ1WQ0rNqsW8ZuXZeIyHLYRzR/uHoJTF447YMqq1GOOdmLenezR2PXH+t4ujS4b4GM7xzBZvDv+1WJ5+9I7netYmJO4GwBuS4xJ2mqVvlhcTriK5bY4HjA7sUALP9YxS1M/I+g+X5+vz9fn6/P1r3zxz//P/wmP9nWYV6dmnVvKZlxM5ie3nbqAnhiefidO/ELuAMy5mlFousQ5qrg3w29zk3AxTn/iQwBsNmNx4iBKi9vhxO+0uPIe3aa0ccoAmqZ82lkg2uBf4cSxc+qlXDxgyyezNR0+meWZi0Pp01Fa3jh7Dx49jU+6tgymnQzX4mhajGu/kqga3Vdw6gTzSTx1ayyzg9mRtTTVHRenZntKWkpaxuTUSF+esHx+atp7v5bp82c+sfdzrp+O8KmwLc+f5+KxC6fdqbNq9aQlpz1a/AmkuVfw1D+5uCZO3YCnggEgJ1Xj4sFYXE+YvTSLN0bESknLPctLT70iOPFBLZ4if7tIjPnpJKrSR8xf6r4vf6O/y52EiztoERJ3AYk8XbZPXFKnfiQ87gzR8qYpAKYp+/JZfvupFxcnXqZlEhf/JAGdHUpNqkXlyWLHLPCnLfTFhZPlvKw7l89lEoEnC5OkZVF/0alIfOrB9puX2XkSR1hG44lg/7RV8U9vlS/DTwd8WSY567LYl9s+fezpLn3qNF5actq807V5Oh1P3LynXsTltmWyllecOsmfuEmXBi9BkGXtzFL3k76cLHyeLuR8tdkDkOXr+YRYPinerJMPT/8uKnKyHURnTp62fHL6nPzTY8O/FdpyOPkT1J4KePqp1/60nae9PX3vkxed9ui0y6dvUVuSvn/Skk9vWz75l1runX3SkeXmT8ft9Ic/+/af/e3P3nDavE/7+Gk7/cNP37j8/el7nzT4j4zPp6399Dk/28LT+5P763/u50/u/HQ6TnvxL/XrZ6XltC9Pnulfn7bmySj9kYl+8qJP//jZljxp6pOHL83lH5XVJ9fPyu2nLcEszACKim/rp9/+Sz/52fd+euT8EWk5Fc5HReenS+zTsfq0d6cv1Z++8Wd/++SrZcbTz922bGL4uWHEJ5O47DB2IkKn+8mTBvxsL57ccNqYf+mHT3r96dbxR+bxybH9swOFeZ3iZNV8uhE9kTqh5btjtzyrGjk36PRxBiSay593qaj4fNSfgA9+8mj/I4n6zU+W6DIu/om/grT6yTmx/LMam1RPD3Zv0qeRzKqSRKvKMnzLY580eJGt05b4cD+Ryyf7zpMfLk/2P9In7T89dJtUvW3V1eqfO8ZOX7d8u+zFPyvWp+vkZ/esP74R/0uz4N15Iu7LtC7jaSc74KOidCLZyw+nmoR2uhTTPGg/K05LTz/dKfzJPteLxJ6K8dKequJvPN1P5ScmQVx5buHp654MwvKoJ418MhdLX5aWnKo4P3uYffooXVAA8/icDh1++vdyPRFUm9eO9+X0aae/XZaSnzT46ea49KIafZSyqD+Ns0g8OQV93J4oxYvw51PVft7s6ie679KSZd/grNou+9KpwC97S5p7kT7ZRk+XbfpkJZ52vMwOkuXnT5RL/y7PG86nes/p1Cw/q5/E7fHTrcDbv8jt0rXTXjwZruU5i3SdbkQ/u6n63/6QrplKTZ/uYMv6Wlr+ZMV9Ot2fmgqPIzDPjgFNqgCmmhIt33x9nh9EPSy2ss0f0u2flsv/mD78myp7AWCdyV50pZaC6KJ/lY7PFAAN2mv+mJYxLue1+ZgMXggO2mlzm4xIA4aXBUB+nz3/BoB21twIgOlMWai9pvtUdxUAB6GBBdo4h64XEDQZxEmAooiTZ5hOmC6VE60xAOleynnNN6lc1PZNGq8rABo5UFfKifHSKxVH9yu693L4RQHQvE9UTJeKuaRV7c2LNZgH9o8CQCZMW6NBW+1fZQDjleqqtm/y+KxypKdu+Z60/We5/4XJAADj88pBrNW0l7rW5iYBKGtlIS0qS3rVQY5B71921TtryVY/5MNXhYVLQL65C5qfulFxJkRjOmK60u7HdHxZVt9nANPW6kotW3OTnHocNBPorqabVDfa/Zh9IvIDxxclf8wAtDHvhYmd/216+EXkKGi25p61RaQgzLXIQGOlNSZHAqjnVe6S9poO4qlCgKeJoP8hD9fqSV3jhaYjy66uv83DtXqGb1nr6lU6vKxAzLVnb8CDoAI4XP7Icl6bD6lstHubhheBTJWBdVfzhzzTYiqScRAn8vGWQCGD+IBz9PQyTTPnf/+Gd79xUaSuNd2LdtbcCgDNaO54fFm9HKJLXfMhTVe1fZOmc00H8bRWFq+MXFn4eG4IoLBW+x+a8VwBpIG1MxlYN5r2AoCK6bymg0TV82QA0l60tXzgeBWh4PZtKjtP3lQwKtvKXrRXTp4BHYNce+xb03Vt3ubl7DJB3Wq+lXIW780PPL4szU3at+ZERNOZskaGmRG+KKatrV6JtjicxXxpY5bQ3MjwonCiP61uFEHZFxASmaAr86XavU7pPQDc/9IITBdV9tLcydI7T4q3xvzI7l/l4Vn1xucH8T1QO0tHDkCNIpywTpsPqTrHsZi3pFwW2SeZWM5q9kV3XtNdqptYXHHbs4n3GS4eFjLm7Welb0cArK8sYmJnf5sffqnaGgBrjCPnQwMxEa0195wuVPYBfNDG+jfp+Ezpswb4TiUHsdZkZk1kRV1ruk/WGGvAvuqmrr/N+19P6TYouOumusTKRE7RvLrR9oPAOO3UD4J0ZO3NBNpp9zZNZwaHmGTz/VBGALjdWRo4XqiXI3EaISOsUxaicuaaMyexLGcKnZdnY77GLRsU9MSSgnwvviV6g7XX5KznXum0+myyrMBf/W//fgFIwAAlGuWQbF3g4P3sBHB+1DBuywYCR0FjMWGVJoZW08esjdm6AmA2mwQTkcyzlwJ1VoT32foZy9QqjCjkINbrY0tyoOkX5L4d07wxKQA0hkJOYn1dsCU2PuLxT7RQ49wRi16Qg1g2ZF22Nh4FBLbFCuGQDwH76ug+JMMg0SQADkEps4ayqrZPWNrvDVBwFOeFBIBGeUjWKRyz55lbNGTDKOgUhQ4ywSRQoDGcoIMwCbIymw0CPyfKPHeEzxcL4/l+efMq0an/4fgiOyQkk1VZkrfi/0Y4xuwUPwP4JM7pMgANRSAWvQPQKMQwCgRLfhjKnJtlMZvh1D6kkCIfpVZhwCRoNE7ZrBgSGoWB2TVBYJkFbwCAIaGrGBKyYk5dQqNx24xu8qYiGQpj3DBLi8Pl5zyVuF+MQ7JW56GrgRSdZg1j8a0v4zwJCI5irT6C9yZCADHMfKBIhhl0Z/sUP0+GIqCx0xDOImgUo0RPfQq8p8keUabHhFZ5SJZ1WYmoRKugYRQ0hgW5JBaAuljXCl+h+4T8iDbkujhALp5Gc5Aqs5kSviL9b+/dLCfsa7RHLHqRDJUxC+2cmqZAnUdjWSYO4SuPICtkxUI2v0yiiwfnTgHo57letG9/hc4gT5vbNibQ2KotvzXG4qqx6GJ8fmrVBg7N74l9MhBieMiWDHOOI9sKo2kAg1GEbbVjQjIe0+MyUXIUazR+WISNmkXmYkyEgn1gaGMMMZvbjaJIDHtX448i0DgC55zwE3vFBbJVKFBkmXoA5vuM39woinBdPHOUg+tnFsvT5uXcKBzx6O0/JgBo1WXV0XE/EWNviK8dl7RKiLHVR3x1APE+X5+vz9fn6/P1+frXu3IoXJUAmps0XVS5y9ophhRepgEwWGscTsD1EyybjIIBi1usbhQ1yUQTBML9QPTKwnSXSljUQGOYmAZaSWHbGlmZ7qWu1A9PKuUg1oh2yhKeNwPSg8jE2pl7uTmJey0syVIWEMl4FNvU5m2ua7NZCzZU7rNt6mI9QNncy3QGtJpuEuCVeKCjQJnvEwDNpv7MfYIYp3AWeZlBa1RcyVKogZ63zzkBexQYkhPl+sgVNh9lvDYUIpu7QGmo56V7k4YvjIO4QSlHkZHlrGKiHAWA9spCUzEoRzEogHSfTKArBc09pfnI45eKKsjKY3I1trmT8RpuONs62mad6pBQJD2Ie+3ygWWjRoEybAjMjM57WZwbdaOWLN2LCVY/yv4XFYBBkCzMAte7layUA93pipkCALR8l6AolwWAHEQbzW+aulYTig/7FjDwmCyZqbmI5rtUdhWFchQ9LwDaN2n8wuQQ7N0uxuZa/D5Zp4szim5hKMyC+cqyQcyNVDpNxj5BwEJLJnuprilPRM0258n5J9YaRy8CZm7byT5pq6jgINaoa5RRPrUBJ3Ebyw1xmwCg/ZDKygDotspBrDGb/RP5JtUN017qytPvAMCSAMBE09CdWWgN2rdpvIKJ8hCCrTQIWcQsJBaFliPxyL0lZgLCCjiJHKJipHVqxxRquCMYj8laRREbAWCmzAhrmMfFdIYhsTL/2JQvB7lvAOi6ykPSXuXwGBXhINaa3IvLswuY9spJ3LMaFZIqoUgPue5qehAAdaWoTDe5bmqsX3eBKDDRrcNoS2McxA0dOQg8POZzjdl5MAqSmRhk9sG4ieB8MdOjju7WTLqXelGwuBAKrdXNN2n/VYUj946sl4ZJWMKZz0pTQJk/ZsshxajJupruRVvqijEgG0MRQ8iej7M9zK5UF0IARmsVJYn3GlCE5Ucjx9gnWYQV2ll6mB3Fk4BQGipplIfsq3ieDnUHNSpRaVlQ2XzItQu3cDn3RpgPpk3O201TsjBG+FIxChq1SZBN7jLgdP40J5II6Kyx0BpNN7meB8sPKlnI3/4v/6v26uETp3pjgVOZeaig9oBYOnD9QxTdG8+tf8P7XysLQbv+SwJ492/MywTIgDTSJbuuTLM515YMMa6Xf43b33I6UxmZBgAwwXSmTtTvUavunXgswTkNd38QAA+/sHQki1c9AYDDC6sbbcIbbvlBAIyXNe3FsjW3YikkyQS1t3TgdFnFt4mB6ch0xPELhSI/hF+YGkWR44xeWfuBh5fafRAYZmZSaBPhY5uddV5ra9opNWpnAdCE7j2Ha/Uwg5eN8XeV7XywJQOQH7j9Bh/+W033EY6yBpqDCRAI+ldtrKyj6jMAVsBQ1wals1eNl5XK9qNoY2VjPuzUCLzlfYz5cG3amnd8Oov91GjtuwQgjRzPzOk+xwvzOt9lZT6Y2lm+izH3cfa/vUrxcF39E5fFaeeVq5atCGlPVtQ+3BgyYTpTr7iljXVvBcDxhcKwfiUy4PBlhHYgqJ3BEPXBABOwxGNZ6aXK+7c8vNQ0cPvP+Pjn6s1oP4i2Nm2jLDeA87/D3W8oA2qP4UXx7SkfWDtrb0SzTTvfULD+QY7PrFyU5l0GsHrDwxfWfuBwae0Nnbe0rMwETiR6/re4+a8ARPnkutb2XdJZJdp+jbvfII2oXYzAdFG7H1PtkPd0r31ZmxO5jhdmmKtHb2raCyvzQ6zNNPDwy9L9mBbxdomFUTtNh0cdyCOs7XvBPGLOHQf1AsqsKwNgCWVl+YFlY/1bAVA7KxtLA1khYzDz5j2nrbKSitUrArj/tXbvxSt71U1t3yeXWK+8VTuUjQJYvZLhymofpef8ynsOz+v2H1MacHgeEUoPbzR3HK61/SAAhufa3Ih2ZoDUOIq0M07QDusfeP+reEVZo6wtHQHAeZZra16gS8alrp3lB69woVD4Blh7WLb2o9SV5QcO1+ot8c3QpR0AC1kpE+ra8l0UxRjPzKuD5yM33xmA2986wZ3VtXVvxfvLgsNXZfN1zg+YtjEC44VJ8bUcM1t22r1LtTePpnjI0CfOC3v6Kh7PDILmltpa3nO4MgCr1xwuzDJWr3l8FnIynqsTJwaHYRRds+aerPDZZ6G2VjbW3ErzMDvmz6ysTCYuCycd4YWInHfRQ0qarXsvw6VBzCPfvmadOpI1Ntjjc+3eyXgZkdTsQeXWWJHO/8ff9W9SFF5L8Ip5MnA6M0u0DMu2+4McX1jtUTbwImPTGVY/ynRu/Ts5fIHhGmWN1Sux7EfCY0ldp1Csc20PKvYv4fWpIFGdjxZFiCMILFFywzLaG5a1jRc2XkQ5W+1R116mBYga2wQIwfoV8wFlxXzg+d9j2nE60+6jpDGKTzv1IWuUyZkuFaCTJXtR8+49a4c00QivKeklsyxb3os25kV3aFHQZf2DFzxGXdvZ39MStQNIy2Yp6jA5A2ZdmzNvrt6Kcwhqa16bxBq0N9K/pVSMF1FJs3hBo3cyXRgkytxptrqy7r2Mz6sXxJRCpyv1quTaYPOd+KZce8t71s4sob0VLyjHOleV7tHcSdlY8yDeWtetADrPdzpS27nMj6HsrL0RZ4RMR5kuVcYo5NO9F5m4esNpG2S1aYyiQVI5XdTV90mjKjmsNc0QpVuWvsCoFKUB+SBpAgGXjed/YR/+m9Cn8gPTkdOF5gdp7qPIZu2dORhUaI+ZXZHpSGtweGleOb69leYBx+fmhO6IGpcy7WwuZp9cj2kenDHW0Q0g4G/R3lhEZpO9bECNmu7TpdaN5T1lgtN3Hp+jbtSJ1dNAEzQPQarrXLROcJlGlJ1qa8hmEqaP11O31t9rTvkcRrYyH1k7c3GF01FvrX8rzjsMcKlP7zXv04F1Y0ho7sQa9G85PLOyRl05t328VwplpBSysK7NeUu/+A+6fmPHK6m9Xf9nHq8CvECLARSlCcZzTGdIE6vXfxOwSj4yStHn4Lt0MtOyQ/fBOTRtqaVrGTMpMLW1ujFr5tqDpIlTreP/Z+9dei1ZljSh7zN3j4j12q/M87xV99atoqAkEBITSmLUkyqqxYwxc4b8AsSkB91SI8G4JaYtJkhMmYCYIKDVtBDVFFXdfZ/nnpPPnbn32mutCHc364F5xF4n85xTJXpwB7V9kMpcGRHubm5ubm5u/n3mmMLE9hesQyMxMnEgeRw/15a1UZgvNB1Ydja8FufPHV6JGyJHJXaK9OOX2pjuBI7U3OhoNwaidtC1OiOtc2k7W1gDYt+oCSxafyuOaevUkWGkdnZ6hvEG2lvILOsWV3AQ3rI2S7DAsoYbWM/wckDVsjXJoDX02LyzumqmnIbVK1pi3hrEDQiGt5wuzSm4yqbpP5UWmO5Z13BY/Qax3/u5KFyv0gOde6mZuIA6ID2wrixk5C2mZ5ovTIoDuuPqLzBdEgZH0/cGxH3D73dKtrKz7lYcw9e5CuOBad9wxxvLaEC6d3L35meLsn/H8Nl/+Gc6WP/eqbFARcgNRDmeKBVQnj7X1YuQL2z9taQH5gvUjXbvxegwz1YH7H4uhy813UtZW77SxsQuSA/ztLlvFio/q1BqZ9tfStk2Q3P5VxhvaAmIgKCsHJ+8cSw6oTikIRMPr1tAySI8PuZKX1fIO0hBOHH/E3ME2f6thRNAsmK6tOG1WIRU1pUZmR6kDkalJ2ilA6kIJ8QR4+dqvWm0dC/uwlNRL8wS1l9JbqYZZdWcL0viJKo+H5x0jgbJjZGeypt/jvufOLuz0djdioOohyPzDk6a190xHlvHnVjed7gg4khzBuLYdkVSme7peLoz+RTr2ura6SG4/ka6ex5+p/a3UjcWj+KpUxBM1+rAvc52SqVMQkNdI5zoFL3umtSVM2I4zDbyrrH6du+ExunaysbKBnVllkxGljW0Aw11ZdZZ7WaOSIDqatCAvWnQ3pzlPe2ZL9W96ebad2G60fhAVoTRHeRAY92YI3+XrW6+Fo201GwBDTLRici0t92/Ct075q3VFZy+s2716v+V4S3v/0Adjr1t2oh4oBSMn1dLKifZ/kL6W4flhvbWvw3xyDC5l2aOPu4w1QC6WxHl7lc4fmGeWUNl9y44NYZFOIO4ZCyM5s7p6YDx4STOF1DXph3WL0QqxmdG40Io3t9K2UAm1h5xpLS8SrLw9KmWjWqC9mbJ1l8HjaS5a8UW4ibypS1wyDSATPuGJV925jTqPi5SWAY5XYsOAJG39F70bxgPBD1yIESj+u1vJV+469OcA+dWT3uuv8bhS3Oocu19pwgnH9n+Uro75o0zNdjmK7n5i3r3B3Djs/1VY+zNF+qOadt/XMEE5bI67njjotyoTE2dJBMCXVl8kLIznxphpA4WHxp3eL5orB+SWTcaTkJj956WoGtL70IdnAhYZGJdQTKl0AhWikI7lySH10z3iAeUXSNn0YT0wJBZdqo9CFjE9ldy+tTaRpBtoJ3gNe8sTI2awE3l4mTo2ixZ9z5IplTmLeIB042BjYBGMuOJnEmcna4bhGRo11JepMJ/nJ6pNc+SUn2SmuP9Ww8C2ll6YNlaPMp0UxHbsjG8Yb5EvkDjktiZE7l271g2jdSmbBEKdTBNpoM6Fr51xsq8QTwy7SmZddVCGnXtRDxaBzMiX+ApbeGpPJWn8lSeym+5hN1/+icysvaoPeKJ2sMC4onlUuNe3MtwD9SZ8WqPfKXhQVipA6hOUc4wcnqm8V6081N0WoJMjXTH5h1lHYCA1YsAwXg9k3YLNEm+1P5NqOuG0J7uxB1VBDgFuib4pnt8pkC7c9C9l7Rn2Zlz/1CR7mkJZW1Upj33P7HxOdKeZY1uz7pquweLoGH1gv3beQejlMzpyuoaRpYLBbH9ZdTe4lGcVV27dgTnjFROWA4iHqSsrQ549G6ab2JUOotSmFgHljV0gGR2d1K25hR5TnDuZNJ5h7JtKezO15tv1BLiA0H2txyfW3fPuJdwZNnAOpSNhYnrl+zuefpE11+J9nSqtP6dScZ4BSns3rN/i+lZ8+ih9MiMdY04p7EQZf7of5ne/0HQwWOksnrJvGv+pm/knXorXxiBslOLBqfYObBszFZmybpbcapmKYxH1p0hwnmAxhtjbZ5dyD6UjfunvxXJDEde/RUefgQnOtLukQbJmav8L6tvwuFHGiYMr5h31t2JZCc2tDDSCb7yDptfc7xBOHL8tIIYb3D6BOEkl/8Sx8/Q3TFfmiWkPYuHMdVpZmy6MhNqbzAS8HiCDtAORoQTu/dU55gPqAOmK3CiR1fcc3T1SHesA0CEkdO1QrD9pXi4ybdxIDzvJj3QqYlWLzFeY/Ho2/aLjWfIXdHp0ra/5ulT8x1AdyfxRBbqgLinReSLpngeDKmDxSN9WD3A2N3RQ2R+1tXfSv+OFp0unSCmS3P9BGEJZQ3nT9OEq7+CBToPZL7UePTMdYiie0d3fmXi6ROAsA46tHClU9tJpYVGROR7aAs83UjZtkzq06fmkWcd4C52YxGrKDt1Lzrdi0xzjDrCuZ12v8LDj1WO4ux2YeTn/0cdr+T03GjQwRCgvbGQ2ngCu3dOJNZYwIfXLJsWGPfQTnfH6dqc/62/FVbSaCSVZYuyBgDtYKHxrlExvJXpyrp3UjbavxNNlEKptM55I7F6IfHI6UapjA8twyXd0yN18UAWao/+jUxXpj3qymRivqnpzsm9OF0a2FJOnMFSClYv7fg5ANbVHCgT5C08KOUJAX4hwZLFAy0tt1OcO9Tq2uJeLICV6b1YhEysa5Rddb759QtO1+aBB4/K5kvVHumOmiCTeB/TO7EAqdDBytrK5pFqa/Mbjp8YQCo33zBvEa7+7p+GkflKdTCZJO8MAcMbmW50eBl8YkNbCMhPIDZfhenKaAgT66rdbpuuNb0T8a6yBb5ZCDIeGuejJVhn8V481APCufj6N4EF+UphbDyMlc5UpqlFJJxPsG7MhDo0++52P+9MV43A0Smeys4QEDKny6ZwdYW6MU3ON6XaGyu1tzqwbJAvLT2IFNbOylbjg/NL+kk+YUgPnC6tXGq8DzI1HrPhNadLi0dKJSsgoKFcqCY4T6h15vybAKzzqrF6xboGgLKxcBRWP7vzM1U6ayQIFoQJrJyuVSaRzPXXrCtMV+ZKVrZWNgbn0+sRT5wukbewrhGbepTchGXFurV4YNnadNXW9eFVW8Z0ZQBkpAtKMtM9j5/EfGHdOwlH1rXlLVavWAfnwfQIA8oG6YH5wuK9hJPoytZfh/FTDScxAZRGULn5iiD9hMaPmmVkudCLvwrTJWjsb1lXWL3keG1UOmlmOOHwheentNh9umfj/xVwvqZTto/BjbpCmYPjFiCV8cC6MQjG5yaFrKxbCw/iB34hc7pE/5bTtRk9/4R1sNULKSvA6E4SjLufi3aID5xutK6tDta9CyH7BGbZmUVoxOqlhIkErc1Ml7lKpihr35YiTaYrk5NM1xYyCbA2MsaQkS9Mexh5+sy692IJ219wfN6OLeORzp16/EzbuuJkvqlFPgHPdsHuF3j4sXoAEHPigx+aeiAu3Und6fBa6gosICCZac/1S81bWkDIhDRWVvdbpbajbBMMr2V85mutR49Ztp7HBHfa6gBXUbfafqRf1za8occG/TQLQJigA1ia/a0rUGmdxQdpfM1D88w0EAI/2mQVKnXT8s0ks3sv8cCysrJm3VpLxjM/BQmHLxVshJkgJEto2XqMR+ZLqyu7+X9s/2OEY1NCyWCFW6HxUw1H7n7G/i0PX2LzFcsa3R1PnykBpz1lAUI77dMB3Xv3bABBWaPstK785AnxyHQnfrRRNmrk9ivWFWFNJkSLQnv81jmgnR63rqwFIdFoLV3/T5+oJdQVypq+brnnRIPTErpbkw4sW7OA4bXkZ3r95/Lwu41E0e15862P9NiypnYqD0LX7oijDvSpkR6aP81K3SiLIDjPJGBYfy3TtaW96OB347j+RqZL2/5a7n/PPMVDMvOlde8Zrv7un2oPH2qZoCvzvtWthlOwhLyz1Uupw0yjq7SAujZxml6BrtQDmptfY7pCXZvT/3kglQYpKBvzc1EI0oM4Ie74XMODOPPp6XMNR/GT9hY9H8lKqZyeVV94pML3WM54TcAjkumeJuzeN5JZKa7NiH4E4jAwE8pOWSRkOPtkXVk4ikWrA2RqtLBS3WjSV00QLOIUvNN1O7CxgHTHeGLZ2uplozHWAeVCWdi/Fd8PSYEObcW9+DmOn5tFwCjTnHO1Uxg1AQHr3zDMvmG5UOssPvDiX2G85vCWZQ0Y8uV8SFuR7oVs/LDdO6kb05mr1O2dFOYLiydOz7RsLR5kuOXpE/O8AyqPn2v3TuraFt5PAt0d/RStf0dWnr6sdWv9K8mXs+9zU7W34WWYnqtva5Yz1brTsjaXTxvEzvpboWF8ZquX9I11IxgeTCMRQCBfmEeuy079eMkZQssK1lk40p0pVoapHQxYtPggkmmEdhZPdArt1SumPU+fV1ZKgedNSHn03K1v1+9ZaeTmN6Th9Jm61796ybKCk5FjOdwiyhr9O05XhtAOqD3Lxr1Uog1EemgJRS5DzFmdkgFweMO0bxu7ulIDqYx7SqMzhtTGrwpCV206hInTdXNaHXmExtPnGg/eL9B48TOrvUhp50y+cxo/gV8n7u4pFdMzTfcSD/TzJBDde8nPaziEsjMaRem5o6dP6enjZQc/YEv7dvLsR+gA0t5PfVqSCLUReLcT4tAs1/o3knfmp/ftqqmxf8vjF4+H4b6ZcCcM81m3n6/4UiSZcc94oAXqSs2TMpSbX4tTgFtA2oumOeMjtHxdoqWH+CGcCUBKhW9NWD3VWK2zcGI8Sjjx7g/VeuvfBFYMbzhd+ykvyk6htIjT53b61ACke1JbGoLnVqxetchB2ktL2noglWVjNEDaoVpjZL+T6dLiA1kJIQTu1EIwXfmmhHVAXan7mr4IrV662CWMXH3DdE9nRA2jH2e2s7R4YFl58lRLuqNx8xvmHXStxrY58+yY8QZAO2LU3my2KulO3Feoa21rv9LYWuL7clrbMoaJdbDhVZDC1QuOn2u6C5JZNiAYRno6mBMfIyA90E+83IMvG9PewtWf/SkMSOaJXjLR8z36N8E9O2fATXdSLtVdDNcgGbnYPiov/gVPz9sq4lag7eg38CV69wvp7lndrTZIZbkwSGNQ9zQPajuND5kaQcD3Q/2thJHTjUIwvBCnRm/G8Uplku6e05X5SXs8SNlVP5DMz6ocZc76EGfDTXuRwnKpMokHwXz2WmiBnfRA5ziXicMb0QGeMeXpMXBynEqnsvcsrN0vpWzo9OGcz6XrgN0vZHxu01VzTywiOGs4mO4kHv2bKGtQmbcWRtaNARheyeFz1MEJzmER8cD+LTXhs3+id79Pb3A8sqyweiHDa4aJ6dBCTNo3Ow6Qhf1bHj9Xz6ova6srs95YnMBYGvQzUXvUjdE4XSJfmHOxu1NcdhaOAqOMUi6MpZngcPS4JdZfBU30CMzqtcRTo76eri0eOV2jrE07WAdPA/G4iitPONGT1ojGpF57iMFr15Wx3XkyVnR31ATrYAna2/bncvrMuncilafnmncWThKPUjZmHbr34goMOtBUKDudoUpgMp9IT5RMjcyX5tFC+D3zgHASeCrHhEZi3Vl8EE3W30reqYP6aA8jLMFRVbp7iUepa2Nlumc8Il9aHVoecHyQ4TWnS5Sd+XBDoLGdV4eRukJ3K+mBtQcM6xdMe+YLSGWY4LcmfAc5flKPn0Im6uDZxnDjJZXhxJCZd6graN82QBD0byXtZXymbsTr2ixAo7vYGN7w8KX6nlImTjdaV+aJKlLY3UmYOF0azaVn8UQqyqohM+lGu9vQIgS7tldLd9RVW1DzrnFX97fuKYIV4yc13UtdwRFlJDPtxd1/jU1KHtkDAUM8SF2jrt2HhoUGIQNDOvgKjTqYdea5KmnPfGk6WLyXfNmgeura0l7SXvLOam+1Nyqt03gI4zOtg/u+CEdC2lrIQhb27yRfWr4AQKlt7SxbsEJX5uEsKpzqPpwok9TeXJl9fdIOad9yHX39oDJfWDyKr5E6oG61fx1Y4NlkAOoKZWOecuLJL83eTtSh/eLHK77LiccmTLfDEKx/LZ4/JfMtTPdHqW572d2JRaQ7yRcNIVHjnLIhLZ7cIs/Rwkm0w/CGYUJZo26MFRZYLvTyL6V7j/EKFi1f6fhcPVcwjCxbHZ/p6uuw5Flob/FBwuV/8idS2b0N8UEQMbzm+My0Q9mph4/qTi1Z3Vi4F29K3AsE5VL7t2IB6U7iQcqO043mnTZTK0BAfyt1aEGVvOF0ibpWD9dqB3rykju2B9He1NeJynzhjTYT2KCX/x/TPTSKJksHjtdW11Y3Fo5SdgrP4LzUcBDJ1JUhuN8NS+bBHO0RDtTBrLd053liZr507cVNpNPC143FO6m9eSg/32gdVE5CQzixrltCTtpTCt28QjDdmEZQMbzh6TOlp59GnJ5bOLFuHi8q+t6uriweZfyslq3D6DFvLR7JgnxTEUwh7egutuiEO4Ca8P6PzLcIUpgeOD3X2qOs0XI3o4PmIYyC0Lb2YaS7tMZGWc/afGopMOLiZ+jfAaRk1gFhhCVIaRmPchKibdo8v7ldcqsoWxtetYM0D9d0d1LW5keP/Vtqh7qy1QvJl+2+SNkaDZ5SFSaKwjf4YSSE1hmCX87g6RPPUG/Lvw7Wv5Xjl1UKwwgpWH8j441ZhGef+40uN3CerwX6+kGZoBvrX4tnb3vurMunri1MBDFdK9DmBsFwEkctW38dxudaVyaT0GgB2pmM7VNuiwGGkXUNqfScST9m2P1M8g55Z2Vjnk81XasFjs/N0xTnfCodXku5sHASj4qYAGA4cXjLh9+xfOEXq6EJNOSt1d60M+1s9XXwlsfjvOcmLKCu3UYT5tceqYOfNqHpVQSU/ozfuyhr5CtjISv8YhMCrv6S+YLuIuQr9a0bjbVHPDJfWF2he0ftOB9wSu1hgrrW7k4sgcZ8qZoMSveH3P336/DTtUa/nAsObzg+N+0RH1jXZoPpqspJ/FKLZ/etXoS8s+G1RPe0DD7TpZJAXZslxKNIZl1buhMpzFurW7NeZRQT+Fmgb1mkwoTDW/H0PwT0b0V7pD19QZ2ujZUhU3uT4qnPlvbi+36f9Z4oi4BwIiu7dtmI1iHuWbbmnoFMbLc4Jk7P1ANoZQ1Npn0LQWPeU7JB8KG/Zb42P3qXytoj3XO6sbJB9TjK1rS37p04Bl2+NFZI8eGmRbS0zG9EMsoGZW2aQEVdG8D+VvK1ouVeSzixrgyC1QumB46f1ubZjIgn8atF1lkY20a2rlG2KBd19U3IFwZDfJDxBtMl4pHdHWWU2lt3G8JRhlfUjuIcjwdOV1YHdPeinT1l0D2Vp/JUnspT+S2X8Ozv/JnjCljA7pc4/AgWgWQWTTeqa43vgw4WDhKmlhhWLtWz0aeb6uubBYyfF/gurzLtpVyqRdQeMEpm3erwOvhlAo/Glo3pWhEN0da/jp4/BrKurK6MAAvrRbWIsA+H39Hj5wbj9ldy/4cF0TyFz08d1r8Jxy8qAlYvJJ78nE2pXH8T8rPqfkE4Ssu4n1i2Vlfm+CKe++DXTSwaAjixu2PILFsDEU6ifiPsveSdwnm/HLDxyLKB98KkXT+qA8LI1WumA/PWrGu5D56+UrcaRoEh3YtfJfZrsGVt3Z3UweoKUDJLmLj+BmWLclnbdngkQUc79tAcFazMF5ruJZ7o6R75piAg7ltMIBRKoWPfpj2nmypFIA7xQO08w8eOP7LTZ+YHNhYtHKVsdfsrSXtOF+0eA5UN3GFl4UgpqFuLe+YLq2ubz0tkulJPcAAZRrYki405JmzytMwOZWtxT7/GVHurG5UsHncNR05XNl1bOPmJgh89QiO0BxXxRL+rlHcoV6qdrX8Txhu1CEtIe6kreIDX80dAxJHpTjwTwcc63ovvjH136Ae5Zaf9rYCsaw1HcfSN8YsSDkHGdvnMZAZzmu8tehKadvD7RjB27/x0yvKlUaGDtd3egVCGDEueQgZai4q7HvqlK02Q2jAXxmfm8frhVSgbrL+hkdrD08M0MB5Z1xayh+9Z15ruBWDaSzxS5miMdli/oMV2zXN4LdON+ul9S3BNDfPekunGNDVverqg301JB9Y1/AqzJuvfSdmZx1imGzXB+mvJVwYwTC0KZwEAy9Z2Pw/9OxmfqydH5J3FUwso+VUnV+nxRj2m5Fe+0r1YoO/O62Cu8HWF9CDjMy1b80NfXVnci8fTtEWALYz0EKL2dvmXPD0DrEWZPLBRe0hG3RkUZW1lbesXMj1TI+tK/e6U9i1HhgqbL/NpBx3MEiTD82J8+6IdjJTsdwGxem3HT83DX5Zs/ULikXkLHVpmYO1RB8QjTVq6UHfP6QIm8B2YT4fTJ9q9l3BivjAZiXbd0O03tLfuvZTr6qePACyhboyFLCgXpoP5aff4zPIOIPwW6XRlnp1RV2ZseCjlUqEsl1pXWgbmC9hg4ST9W54+sbpRV4l0J/lajYwHetzFOgPY3YoPVjwwnDjdqAdyWCkVIKYbDK/pwf/xE/Xb2X42Fq7/5D+W3C64aWwICCD6V1EHtz6EYHgZ/Bpzy18yhEyL8MuJNGggAETQlaNrkQcPAfWvg7cYxnQvZat+KxjwMxgxQblQn/kEhpcSJhrFuFxCpPVWB8okcS9L2ArKujI6vlmCX8aMLXBHi5ATWUijHxJ4nE0y68bkJCz0GEJ3G+Je2oHtxvLWrG/H1DJSspSNxVPbk66+CRZ4+kSlsH8V0p34CbZnZGjE+IlO15buRSPSvVhseXHbn4XpAt17nj5V1zaPfftbac/g57dAHWy8QTjRyPVXwdNY457BwcqStTV7vvbMiu6eYQKKwNpBvYV2ATtfgBUEwiiudsNbqSs4WEu7kllIQ/8m1KHFCrwXMgqNUujnrhax/lrKGtHvk5Z5n74yKaxDcyNYCbHpWv1IY/VaygYewtbB0p1ob/07SkW+NN1VTqK99bcy3miz8r5Ib7UhzxNS6eAa66+lbEEg7Qklq+f40ustFyYjtTcafMm0zhHXMN2oZIJ0P8Y11vHtlzTTfKWcKJPUnToxhIeCtbftr8STehuaAEnF8JrxyLwDgdULMYHnWWgPKaw9ujvp7hpAg98qLQ3/SdwQ+2V1h8nxI5/115K3LYnGI1rtgOGexy/UmRGkIB5IRb4yVnS3snptaQ8T0QF1ZemO2lu+tDoYQL/JMF2qB7LKCjKKp8n0t57Kgbq27lbCxHLpgkI8sK5s85UcvtS6ttU3kvaksr+l+wqeQLX7ueQd6oDP/nccP22BZY+nlW21YEaWNepOQb89bQ4JA6KuLEyMJ2pv5UK3vwjpgQ8/rXVl6V5A5KuqvVlsaVMeXffUbe1t/Y1o9G828AK/byAZZWMshHG6hG7Mfax0J+FEHSzuaR3CUTyQBWnMCATCSRymxL0NXasn6XmavgWsXoqnR2ua4SVjy+9vSXQdTs8tZKb3UldYvZD9T+p0bWFi3Vb3Zgj3q8RPm6ZPtKybWYsPvh606+d+y3v7K5w+QR2su5OyaegqDfX+XuJBytYstizlzVf0C9ENl8QxwMTCSF+SdbDgmQF+OEqk9xL34ndv0j5IgUcv/XZN3Vh6J+FEKtMDu/fiNwT6W0kPzJe6/k04/Kj27+Twu8ViC1b7Hdi6a6AHMuH0ufr+RDLLzuranv3fuP8D4+/9t/8Q2m7A5kuVo3R3dBoVxzQr63ZlpPYtO1B7k4ndLcfnWlcaHgKAuq3xLrgvWbY13bk7hOJZbeMjZlodrK51/at4/FFjH2FuKE+sdKxDLywtFbWuFEA4iEWEA/NVw5Fb/0YOP1LnzzC/WwxgPv+w6FhtvuczmGd8NVaPMLr7aauv5fCldu9brHK6VAi0V68inBy1CI462nADaeEonnbluIQWUbZVRmGh9vPBeDAQlizdhgXPDYZ8rf2rAG2YH3HP4+caHxo+ntP/tPaPrNuGSle3ysJwaDgIjtWWLyy9Z96ZVDgzU7wL/VtOl5buON7YIhNdq5zY3YrDiJWNrr8KDz8pLBxeBKdr2vwijtdmyepa5SieV+q4cKdPNT40ChP3Ok2ga0234hAJm1+Ehx9XT0ZoepIaVh4N3S2PnxmAuqvDN3G8qauvg58e5YvKLJJ9w9oATFmpnQ4v4vobe/+HDZYw7yw/Lw6I2QhRMsKR+VpByJHe4HxVr/9ZeP9Hlu4aFqKfaelKV7+O4YTqABkEBKdPy/AyOnidBbMAObFcVgAOpGaCfFm726AznuHwWliQL2y60bAXT5YbXorv2/KlQds5s0VotO695Av1WPjwUk6fajix9ma9Xf55AHD3bysrwoHNwQJY4P57OHF83jD9qt/rYoO28305HCPK4OCVABx2a3jJ0ycGIt77ESUcUc0hRwFYNO2sfxNMULbqUyy9D2WrvkvjDFbp2BxGdO/oSRkwSPHzyxluVVB7iwdPr1UnrArHlllnwZxWZ3jF8cbyVQWx/Zfx4Xeru/YA4p2UtSez+ZUpff5P+eqPlbldhwijXw9APPD0ZZaHAGD1UsardsjqyGbaGQTxXspWh2+CZ6CcPi0ghhexrNrKoYMNLyTvrFxq/ypMV+p64k5Jf8u8sRlwksMrPvykbn8WxmvDjGsX73n6osa95MsKoH8V6jBbg9RerDNdVnof/JRlulKfwnWl259FALXH6bPK4undWrcKQA7iHlg4uklp+jm8DKwYb3T1jQAYb9rRNQz9O3ruxuFLtc5g6N4Eh6rzs9u6rY5W7Hcq0jspO/Nh2v0MAG7/fQ0P4tluzlrk86S/5fEzDWOLBpnA8z42X8n+p6VRne20fyNlZ/my9i+jt6RNq2iSKRlAu/PjPuLpU33+fxHAqz/W/mXgH/z9/9o4o7Rm+vWd7p3krTlyKidBpd+H8HBTuvX0JDOx4Zt4+qwAWP8qHn5SHBDXNyJuPbu3Ml2rRVvgpTc/jw8/LYh683+mu9+HG5R8rZa0exXdrsV7iXuePlWIhYOfT+L0oyz3IR7YHE/AkrKyu5Xpmfp65pKyZLCG4tW/EQD5UtN7sYB8qY6bGx/E4UMAdK9CS7C+Ksyy+iqcnqsOjuPBuJeyVTmKU6gBqIPRYNFYqKsK4OKfp9N8+SNfqTO8xb1oQjxieqaN6CXTknl4R050tTOxeB88kT3fFF/thpfh+EWRU0vA9eLoluH4uBj7pgoGZwUEIKOEE6bnFY7bHRrMpaP5ad+MQtxz/LTKUYbXPHw58xsRYS8WzPPiXBfTnYA2XVo4NQ5DT56su+qdivehKdzIeOTp85puBcB0U4dv4umLsv5lPPykuALIRCM2v+bdv1NaFwAZWVdmnYZ9SA9tGctXasHCfagXBQAq17+Kh98t8T6wtsngXqFzx4WHID4BPNYq1tinADkJxMKhpVz66ISD6GBQeGDWtS5f1XgXANTe0n3zzyyZHETXmt4F/z4UVKY75p01FNqbmt6FfFPi+1gH9Q/2L4PLHNrWGOss3km+dmzmllnuhh6AVFz/OQC8/I8qlfG9aG91W9NtBABFvq6I1n0T/VqVXzaXEflG4520vM21mljcB3fOFmI3H4X4LvjaCVrci98V7V81jHCLBp3xMWcKx6ZaRirUV6zbtmLpMDM9juLXG0G4/gDIF+b3KGEIDrg+KJS2qrIPVLj/Nz5TObFcF9CpjBq8NMy1sVXqEpBR4oHTdW2EjQnxgfmqstBlvgjk4i/C/sczUa5TlTmQXddQbqkzfPW64UE3uKmVWlJmaYjgG/Vn4r3k6wrg8/9Vvvk7Nd1GmTDdtHfLyrr3Mn5a5cS4FzfEFsw689i+m8TunZy+LCwcvgnTpQGo2xoO4hC0sJn/cEJ8YDxg/1Nlmenp5jWgv5WTA/hmYYUlCw+yDFnzNowubQBSAGX/luONhQm1AwCHXtv/tHLGbk7vZfwiu6vXvQ1uQ+L74LCi+abKAv3emSWVUdwWtdERxHdh9Yr7H8/LGCEjy67KzGrGTJlYtwpFeJByVQGsfxEPv1v4e//NP3SqUDe7wzchX1i5qMx0QNzp0iwpgsEaHrhuqpOkOQlmAwnf1fgueJ4+Mx0SX47BzQQLfRlb/Toef6fB+/smGkDZWDwwHnj8vcm56eI+LJsMnzZASzSyZFC4XVv/Rg6/o7qqMPKcTCG3vBpWWN9wnZcX2/lNNFjzfPNVs+P9aylbKzu1YG3xqGwjva3d67ZSOnehdYZCN1jTTW0kBbRwFF/h5CRyoovbHYo2eM8KJ5GjuO+gnemuchQZaaE5VrrS+D5ob7quLfwYLN4FGMpF5SRSgBmy1w3x4jqYmEzSvZO807qt/mPToZU2YRaJd5KfNyvvP/Yv4nSj6Vam5/WRKzaY9YpM5lZpXSsM3W14/s/01X8g+aZ11ggECw/i6tS9CflG5ci60XgX3N2xpDA6haBzOkhxRA9zlPvW1IowkRXTpyW+iQAsoO5q2EtdK4KF++AaW7ZVJgknlo3O5l7lIZhTyc28gpZUjkF75dQ4jp35FDQ5hrYTFQtHTp8XKOK7WJ67IyfpfUgOy/tZAWZ+xZmazHVYE6zX3V/G/U8UnClQL3WhZeveCoC8Nd9bW68LryPnOO1COdG9ipqg0ZyNQndttsc3kb4geSbumzA9L5wk3ku7v4JGmWpOWdbaCL/YS3U6BhcTrDM5SjxwelYbDdooEMhRHh8ThIMYUTd1ETv8hj/NkrkjUrYVqdF3slA3jX3xkbrF29br5l+kh58WN3A+Or6HiHfB6W4bE0G0/o04bqSvnb4Dnp5Xpy9p4JNi1mvYh+f/FC//uM3ruA+L39zcjpPUlbZF8UEA6MqMJifxw8KF2Lfd0r0XEOXCaRSoQwN3WOITchIdlJVykEY8nWnBujchX9gjP4WY743cr3VTFu6D+6Du9PgmD4XtRGMGsfRtLg3u7AKANRff0hyeQcuQ1JVyave+G922It63G051oxxpnUFhXdsVuOSd+rntupLF96FcFZ6CJV1Q4ZwROD4wXymcDmOt4SAsrFvlSLiTIXCamIXEj5nQdjlp+DoAqIPlG7WkiIZR3Bk1sbiXpwy6p/JUnspTeSq/5cIf/6N/AEPjjl1XFEFfuY+2rguPb6PV6ZUnPz6RcrEs1DO5cmpk26y0YO56mEC3FYTch7bL7pXuscJZft3ZMGfokofgG4V6WcL7WFeKZE5m5S1pNRKPXOOTwMBCW81BsFGsVygRG0MdANR2k8Y3Q4+NB+BUb/PeFp3yIVrfyPTqrsoh6Lo61XojhbOZu1fPWLEfhTozQCflKcCjHOsKAAJ4It9J9Co3QnFntOu1ke+6zxKbO8/DzGztiV595TGwUi8zAJwCovkz7mJorxBLtzF/kjFKOyqLxkJb1+6r5EdKNFrUsA9+2teCYEYouK64j8twe9zD6IlACoCnYKuKSkRrlMn+7kIcPnOxNy7tMAvEncdonKR7J+MXuYlOLLyP9TrLPurWWVkMx28RXTfVSspTQ1MGZqbk+Tysbfgmgc3KzDb64SHUm7yoqMvEt8jWNc1BNAYLL7u6Ueur039pr1TiIttDXCI2C7H0QjLNY4DBBn1ks3b1WPo+KxiztP1LMA9beQguX1TIPBNXlVlsqE5++MhF7czWMnchabyN5ZOMQpgffzmQRCPgCAfxmKo5FXc3k5TP85QTbVAU+omvrhSErSrvYxtrYxPmSeJdKDdtdNosnnnHmWmDIvN8yOJdqL3Ztsj7aDcZQPpVN32RmdTGsFDRp3chf5qdFp1FzPnslUhKwpRt1CbBZcZDnE8s5mnsm7dt5osevt3pKw/BnIfT584kDX3f2kCE+1BXimjMgk1xQxTeRx3UkiFqixZ6SxRxH8pFi0hDIAfRQdErRmk8e9Es6beo6IFWXaFz1gGNnKxZnn6e14uV2NRHivpCZ+xsaTU+i41+7L380gTuEy2d6X/ShU5ejqLrijqrZfvTUIm+Ud4BQJFlW6bb6nNH7qNuKwzs1GZywrat77SRyvsvbk/W6gYZgPXa5oiisVOeAoD4LsYjTz/KbLwKyqHyx//oH3AWnE3Cvtoxoq/I4r+bAUoGs0lkVQBYFRuldduJ32fzxKAArIh0FQCD1TGgSGO5dyUWM2Xoaz3EJnQxJrVJ2KmTLplRolqlej6Yxwo8WUXsW7/4uDpd/MorVW+YjgHB2gLme8ZgvhIAaL2mWRUGddpZRrUpMKmNIusCQE+RXbUpIKrLob01P+/z33yYK52mvnVWIKlqEUoj0ISSQ22UkadAl6cT2i+rmnx7bZNmyygGMcvCYKBhnwBYX2EfVgpDGKrmmXUXsCIMalNgXxuVZzBz+pJR2GvzCaIxqp2CrIqOQfoKwJTnwvFBhIFRQdgptHm1rPHBwRuApdfEowTccEelmObQVCiLrIqegjceAGoTlBUyzjKv4jE3r9qlZMpFB1pgpKsw6BScBBYAhwqaHaMv9q6cVsQMEtWMNrNYchRcZhBWZ1bEShmKq0ETZpVHD8zos52r0lrieaHRb72anoILxJYB9QWbbfoAsCzs1IogN2uCSvbVJmnvzjJp0ydL84QM0lfdJ3hkrx2MgMFBwMigOjXzIV3VY0Qwb5spUclOLcujGnsjJ+Gq+FgzqT+JqJSm9rD5dzi6EMyASdpS1+m3tLeIrApe9QDsOpsShezrEuRkUH1I6CuUjNr0M5odA4aK2hSAQfUQuap2DOxbnNmUGAOSQilDAeAWQ1LVU0TUFgTuqxZBkcegaFetthQkHIOvWM3iFYFzMS/z0Shd1X1qJptwi8FDsE3lzPBro8DoHXmcuQt/bRNIi8DLUNUNYNLQV50CaDYG9rPJFsDAodoYHp2t0MLO3zJEheiUYZ5i1szsomauzxJVizyqorZVmaF5D1bJqK48Orb4OZKBxmB2iL6cMKgZ28RfvK6kTZ0MnE2W/92y5/SePRaNQXUMTNom1Cj8/X/891TpU0JEVYUARU1FtVnAEFSrULTmACDEeemaXV0AErT60BrBtj6Z0R+mqKtsHmNMVY1WyWAiCqBVSqtF6Ba7EgaJJqI6WzbSVIU0M4ZYAZQcQqymwvk78KQ2dwnDt7TAHAtqpjbWGiRUrcFb60PrzfAal72T0KxJlo+zfW5Pe4jmRxAuBK/aa3SBtC6IqgqMpLW/A/68Gbwx/m4twZtqxla7QoKpUtyaP3I0Q1WsshuKy6S9peDiYRklVFNp7UE7fmvyr8E9gEXCqgxBtYFf0h+rVZZ+tQdUAPhY1CoiSj62vFbx0fEvN+NLaBU3CN4v0iRoPsXYFxi9UqGpihlCrLXMxlTMZi1tDlCwJkwaxVrfKyWahLoY8VrC0nKKlikCiF1RFZmHG7Pau4LZmf6UKTDY0uDWAPNR4+I82TzQrkIAtEiIakYRXSaLAUJz4WgNTThtslRvsI+U1yihNj0xkua/t9FfxCXaBndWztkHmZsH2Kw59u1n2pru59vSJLmMdS3BNWdpOWY5nE+HELSNu6uQf/ls4riSAG30XanOp88i2MUmeKfOlJwi1gRSF5VQivncaS8aCWhlSHV5vRaJqbbBamuYULQpxjyRm8BF3V3QechcGx/lMA/o+RTmPI6gtebNs15m+7nU69b1cTZVUgCaiLq2p66UEppAztqMMxuySDimUnJcTJB3x5QkzJfOYDC6AflASdpB3qxFJQfSKI920r+mWWJfvLOmXBaFEKtWWb6waNd5ISBBfW66gqk5zmFrsBpFlP/u//hf9rEepwSgiyXXkEL1P/3r1Qgg0HQemxTqVGIKdcyxT6WoAIii/pZ/OogCKCre4Sh6mhKAVT+NOXlFXSxjbvUWleCm3Hj+tfMqlnrzbDoXQ0BAaMtjuQb/QhfLmCOAocv+41Sit80AM0bRaoyiSy+mEvuUpxK7WACMOaVQi0oKtZ5NjDY9jP7YIhCvyPuSawjyreWwqnjzvGF9enx3KsHfXQy090uNQyoAxhICzcUyldDFulThEi7LwkbzKvzL/tgyrC5hzu33ivyx05T6VLzvy7tFRWYLKPMYpVD9YZfqMnBmlNk8nXf2NKXkK5YKaVHU++uVxqBqFJq/snwthTrm1KfsUvJW+ZCFWYnt2/0FsOryYUxdrMtj/sFAc7lNJQCIQXMJMdalzTIvId4M1xzvo2vs0lP/bFFxNVvmjvfUX/EfF21v09Jtx9wFb4nLvE/5OHYupUXa1Q2r0b/mHx9z9NGfSlhmRzjTf9fDZbK4Yvv8Pe+XV+oavphd736f8uHUA1gPo1fqyi+zYvuL/icAEXUTEeZ5B+A4dj7fg2idPRLXpRTq4dSvh3EZ2dOU3DQ3/0a0qviYLlOsTznX0Oz7rABVxU32oupuT3wuL+q0dM8VQlW8imXqeYP7VFxJdNYKl1s865cbq2UW+1gsc39RiWXGFZWZYRvLpP7OgfCWY7ZsyyQ9V7wxx1U/uTn10SdQ5+4sY/GBWfPmnaY0dHmxuo/NOxMpaeeasyi2T73z2eR/ehWu6q5I3rvFsi0jgnkdwWyu47xMRFH+yf/8X9xP/WV/ArCf+nWaTiX1oUwalop9VIpKHwqAQ+7WaTrkbtuN/sry41jj8nXM9rGTOtboj/nz/vB+6rfdCMBrLCYAIhXAWOMQ837qL/rTfupXMQN4yJ3/0xsJwN+S2S580LzzKpYfVzFP2iZnG2bqpKGTCuBY0jpN91O/68b91APYdqO/Nda4zNilxk7qsSQAq5j9Xa/RmzfEnDUsBs57d961u3EA4H9ZKnI5fFzF0imX/CF3XsW59M6rWB4+f9cfBrDU4hI4r2IZ1rFGAJ3UcyH7Lx93tg9FQf+av3jehvOvKeiD5W1bqjuV5BLzhglskdUHUupnzRba0t9Fjf2xRY19rAU2aVjFfDcOF7O2b7vxWJJ3EPNszDW4VBeN9Raea44PqGvOudYtw7ootn/KZ+aib+c6sEwKr+hc5h9U4c+/H4fL/uQyWQZ0Eeny2CIr74VPTIEdS/K2+QPLCPq7y3eWtr0fh938gP+vj7VLe+npMvHHEr0v50OWNfi8XjTE57Lrvzfjoj+NNfq4A/ApuaiZf80bM9Z4PmSLiD5QJ5/FHyjn4rD2ofjoLAPnVRxy14cy1rjMqXPz4lX4ZN92o7fng+ady7yT6h3x2pfWnptEV0gf1nN5+rs+aq4VfSiLQC6+repDzP7KMohehQ/rIu1z5Twfeo93L28tYvnAcn6fkfnA/ruafWCyzvXwOy3bUwbdU3kqT+WpPJXfcuF//k/+s8haLAAQmILLnx8/7YunP+9/+sPn737w/Pk3P67i43fPf/mgivN/Lg+f1/gD7/5A1z5uyfLuB134ToF8/Nj3Ne/8sQ+q+LhrP1DFDzfvg5b4vecf/vj/j158oAMft/P7vvad/frO7n9f2yKrnsH4fiCWv3asl8f+2kr/TTTnbzIpfqDBH/caH8277xTRB/06r+KHuz/ngeCDXz7u0cdDtvx+LmTXuvPWfqf+fKyc3yf2f/Np8p2jcD5NRo2J+sNj8X3vLp39eFh/oN4PhvU73/2+ev/myvmdFvvfRP9/4LG/tsHnDwh1ER3/t5//BE/lqTyVp/JUnspvr7B+/W/9ttvwVJ7KU3kqT+VvdYmj5d92G57KU3kqT+Wp/K0u8b+//+K33Yan8lSeylN5Kn+ry1MG3VN5Kk/lqTyV33KJ/9Pbf0+o+nivQtXE/0xSAWQNSery5/KM/1O43D2Sj9/1xHZ/11Pjo1R/ZnnF/5LmLPglg/776v34Lx88dv7P72ve+bvn9S7NW9p2/u55Fctb0XP5v92p8yo+EMjHVXz88PdV8UGnPm7ex+P1sag/lrk/7O9+X8PS2TWFjz/+8Vj8tV/74LHvFN0PdKG0Kz71YwX4WE/Oe3r+v+dS/VhzPhiX7+vCeaXfpznnLfnOKj7uftGwXHD5m1TxQS8+VhIXgkvs4359oDzfJ6UPhuzj73+sTj+gdd/3EbcAHz/2AzPxYy36m+vw98nzg5acv+sD9IE1+1iqH9d7PqnPVeKHh/UDc/qBxT5/5a8d64/txt9wmiyT7juHBn7T/Mz4/ICefOdj8df7q+WWfrvwKJr9OrEKgCGWU4lDLMecVn7vvYYkmlXSfIUbjo+g0oV6KrEP9eT33lP2t/wLAPx/lyuffqne3/IqNt0E4GHqVil7RWMN/Xzt369HeUWYQQT83fMqln/mGpbL/0vXkt/Fq6EPdaxhnfIhp23nF7VSN4M1nIulGrtQH6bOm3cukGNO3tOlruV2tFfhNS4CcQn4j8s9zeXu8dK1c7lNfu05VBeIwx/I2YV/r8ir8L57w4ZYzu8aL8O0yHydsnfqkP2uWR5LPH/Yq+hjOX/Mq+hDPW9JVhliOeTk3/TOTjPwRDUuYl9Gxxvczze0z7t/Poje/fOO+0dcFbtQXVYuHMzwEF7pB19zyYfvUQmX2wePecvVeN4Fl/Yi5POxXmAgvAoDznV46f4HD5/LcJkmh5w23eR/9/9dhLBMH5+JQyw+ZZbp+cEUcw1ceudfO7/67o8t31n6da423ZmOubbLbCXOp7CPhdumcyH7Y8usGWLJ8w38pS+nEs8twDKLcY70IboogFuMQ04f68m51i2NX6d8P/YAFsGWGfxpGSyHVlnsiWv+B5PdFe/cUCw1fiDV84l2bgHOddh7lOZL9y5wf8AF5WL3nnqb49nD55rgEnDNWWaEq9/y8LnF/kCY5zKPZ7MpiHov3EguDTufTeedXQyFf8enz7kCfGABigr/6H/4rxzZCY5ex4ZNsiBVmNFxi2LQUh29A3DAohLIBqnhz6vSv7C864BmIraAXC1oRf5f/liM1dHPikMwpVKrLF8+f7dWSankHDFDqC3f5IwC1+CzqsiMy/UI3TZ/LQT1Krx3OmNmzG3DOVbH8oWlololxlqrxKAAFsksuFuzBOBYbR/LBI/QTw2Z1J/34hIjG7bbIvbz9izvehVL4x0PbakFDTXLFvA0/9oy3N4XANMUY9QFXW3pSM6h73MpwWWoSsfLWdTGW1JKiLEuova/nCMHYsE5pNkZtJ2/7uPlXwuhaZfrxvKYt/xb8GXzmJKP2IP+z4/L0tPzATXDohuuPPptpBaHC3PdA7B8oczQdufF+7VAETpe37nau3j93XnWzDB9ZxiGy3dcMstYn3/KkdBUWav0XcmlIdotwypiDYKryZaLpp1Lb/lzmmLn0HyiPhMXnL1zQX0wUi4K19hz4S/tX+yJi6JWSbHWM7i5xUoIbZwigJSqv3s+c7+N+IdztVm6cK75MTwCDuUc/JtLg30cz2drEC1VltHx/3JAnfN5vUxSn1bn9S5/Lg1erN8Ma/Qt43M+CuctwazVIt/Sw8UsLC1ZjOS5kF2Hl//1gVhs3TI9P7CBbuEXW33+5eXh5fUgj7hZizRcQxYhe1O9GctkX7qwqFMT1+//47+39LVBHlUy2Dl4oqM3YgYSBoAZbfPRQZsfaPh682OLQO0MhXMhFFiwGtuPC0CnioMDnlsch+ET0ZqDo6wuhhUGShNoiLWMkWIOYXku1gYOKO3v/pFa5Bw29HHkvPuzxXfQ2IbCKY9Yh+r4tXwUq9bWrxBVVbSQM1i1KUCYMnbFZnunxgW22WHLF1HLmYY96i5tgShtAIX2KPnWznM803kBOAdC9QfKFEA4ZC8AR6pder3gZTrULmnLSC3L2PKULTNk5shozS4iUTHbjqWD5+oktJKDBFuMOAwhVe+gt41iIdYF57EVPvaUC0ynNmVYAFsX1EgAtYS5W1ClKWOq5+scZlvjzaOjfhdxmMg24gZJ6jiVCzSnq4QrgCzo14sPsYAKevtp5zI51z2cAcXibEVc0GzPHRdHwfdJEWfs8FrFZjVwZG7parNKM7iqcFn76RJb/pczDGur1KiFknRBDT6PNLTvO6OEg/zOyKQ+pj5Gy4gv9mEZLxGtRSRYzQJj7BuT+aNtncHvfd45Cv6joTxDQG7CnG1iGQNnUoaQPsKlnRE5beZ6rcfIpFYkDIVAXWDIHQl7nnSgOeyvG7cFmdd79/h9fcQjXhRWlY7wG1N1hFDXE4fNXaaYZglJbdaKRQ0WmOBmlxZ87tm4N32jORRv04ciFFtWTZ1RKJtlXtpWZPng405xVtcmf8wTnMZ5scBH7ZyB3h8N4/kAPSJHe23BhGe31p/KU3kqT+WpPJXfSuGP/7u///ivLI1pSsFOZ0o0NHamMPtoOnPz9NWKNFqLStlkvU8Y9JHIubIxfBwD1xWAjYJOSZgzDS8OY26MXo05yvnWlMjEwqfrDFGTIBkKATS2lTR7oN68LI2m6RggaP+7OJLKhVSJD4E3U6Mh8V7EVjs7Necy98XaXa9JZJsB6ENs5Em1UfMxqj1EdOoc1a2uLKDJUPUYl0YyNm4knKRxZ2kjIFmoobzBOAYkQ2ichAiNqczplJqg+NiG1gVrYmlCkyYTZyDkUFvts+QlqR5iY2rJgqgYA4fq5CXtI8ZGyOQ/cB4LAoalwc0vW7hJZoZ1EEjadplOB+UPNw4ngGBfYWwN8L4UkaPoZXl0tYo01qhFht4LJ45LjQMeoXWqsUMBuI/YFdxHGGwzq9MoGNQJpR75deYeuavbBLgQBbkr6ptIJ79ZVL1TjAEzI3jjBDoFDtUJgVqDZWaWU8LQyGlmmWCp1Ni+rOQo5ryL3rtOYY3VZfmaZYEYjwGA9cpJsM2mhNJJp/QYXXRtZqFFJhitDdlSXJgzhw3EEOyR0sZtgsysa9bmF8V0Co0ycWYJajP9FLgqM1sVUPktRkGXelJTSld1avRXPARb1SZkJxPyDdYxclVANBq3rtXFNNsrtypRH1mLABmK5gAF6kymVwRiGMV70fj0OvWQhg90o+nymeuD62YnizllovN7zXtfy+Lfn1Vd/nV7V7IjSXJc3zNzj4jMyqqu7p6FQ1IQMPoUAbroKEC/oG/hgZ+lLxAkARJFghzN9ExvVZVVucTi9nTwyKxELT1DQoIuY6eEw3d7trhHRL57x3IkLjIgBSo31YFl3HKJSqbVH5iT/GDCfkJ6FPc+6v7Ohpr55IRTEwOlvc/3E5VMK1h949zz0Tkf7doOjGsn1GIzxipDVb368tAuzYq2e59wVBBcM7AnmwmoDmPNu3RgQ73nK9obv/7Nb6fLMpNCNoGJ6danz8aZLxJAgIUwyFWrYaK6AgITYThyvKbrNL0aMRmamK3CZL0pCefjTPWWgpPhQCY/j0vhCDsdTDEqpDRjF+BEtQEDpnlhdpcqvyoLZapatNukLLlm9sDKbDZRjWRisNLdVwLExTd591fjkWKubjoI7lztwRHHAfHiTG7/cuLOZbp/GV6Ay29SOS+zoQKM2SnLtfg2Adh/UQDAwZ6xjHmxpnvmWR32xHWgR+TsiQhUT326UUkzViZWyvo4L+xtpqaPg3fLh4uCrR/ZOVX3p8w8ngCQw9YpVmWOjgcWV46MLjiy0u/OrGK9VZ5cGwxALMqstSMkstCW44UJ1xmAFoU7BwXDTHZZ+Tq3ntc2Xs6EqlqUQ3ma6e9GImgjyip8M5OTzgyeO5MBSXOHR+pYF7cJgNrC3uvc1JZTjkFMxz/jh2pwrWjJUdk5ZZrZw/Z+BK1qWlbdcdXhTYrLaSZmJPK7BGB8WTjMZKwzr2NvqunFRBCVMVONOLDq67DD9/ecyMGNz/uZD9rHwf5HyoV0gFDdz0qkazWiHOqOpiZwDHg8LEQ40sKiAA41gQObJ0TfsaxCLr/z8nqc0X4gZry3ryxRM3ve6U1OLTmmmDgkdkfzGek7K2cxz6caYxL2hiaOSkSAE2MR6caVVM5L7bCa9v12VU7eyTCTOxcA3LtqVEhKVwnA9KLcpwWYFZE2Nr4sFb2cODOuGtLapjOpO6FYrcyKAoOqyVM1N/GeBcjFvanmrMQxx7KdyzWX19EL1RVuXedTpfrkzpR1HyTm7Zxt9t7tBO6DgYsHpkoIsz+sj7tuPDJgqmnKvC5XJdK1nc0U23XVJo4GqsLJb70sY/bDOs42ZmgNNofG3toP3r8MrSYIfpMARIKNiE4cWG1HjViJXwV1pZJip7VPn41+/o9/CxEGGPzO4YhF+HXynSE488ImVdAfEAYbDEHfm7qwylpNxrKkq4yai+3JiWoll2/dblMsAgbbO4NqxN6O/HScrHuTOZrAtHHrLbLad6mcF0xkMN269aZWMOSrZKNFmg9nfufqglO1ZCJY7Y2D+dZgVBdIglgZiOvolSSbvY8vCydLN0lOFsvXzkJlULO+ORIJzbtUOkFQKzXym6QkONKNW2/WW5yFr71cFPbue1MjsJJ2z8F4elWmy0CWDWYD46IgaL2xYtqQ7jwWYTtHRm1LkaWuMdneZUi3bjsXwfp2CMjCfJVmR5CkJNu6GtnWORpHSxvz3uTI1y5QbdRBKyZsMhai2OKN57WVhloEB5vBQFLUWcFE602dfGM20vZuOwfpe9MilKUs27n1RAJFNYGkdJ0E5rcZvacbj1ZgzSdUtel3btUYtg5DWQWa4OAQmyuPhOr9fWs2MlohScvSvE3TZXAwFrKG0kXAawg0Fi7/mMcLpeuEydQIBts6C7UMjrTefevWm0QkdT/kaXVoXliB5DtTRj2SsneK6SbBIBOE7odUWnEyBq0325rtLRbRvsllqdXv8rRgOY9YyHrTovg6yWvkI8FqWV5jUiMk5asUjeSyyXRWkMS95WuPVra3dO3lLOAzpNWo+eilEwDbGfL81NJ3prbGbFt8m8tKNlj3fRJpg0GmLI5G0Uab2cRBjgZX+86n84DB9xatUNi893IRcKCJaETQBouzsDtnb8s/pdJABg7GiQxGF9abGqWrBB6cONi8d791BPPafWOR6lMegrC9L79JzZWPLwMEg5xoPfPafWuR2L1LU6fV75rSzUEIxVgYLyfbG4txNGXZYHJ5JTgH0nUSyULfuhot/5jzlY+v4vw/8/AqbO/lvEQXtvU6EduZknxvLJxeT5hIch4uCUkMlrNAEojuuyatvV591HHh8NtkvdnAvHYZ1Ua6SdZbZXP3O69c5rZx9mZ7j7OwwY6hyHemhLROsQwO3rx335jSTD3efHQ5a1iiCFe6SSLnS45gdS/5xpXnXMrqI7eNSWa9cbBYBAl1wZ3bQC0ChuUf8vh5sZ1HG1WJaePK8r1VX40gRDVikIXnv0/DV1O9IWvfJozuO49O1RIBTOeBJrj3tE7lLJSFLCWhEUhlwcHewJkZ3TcOB8VYlfw+8+vf/LYs1H4wANFqeFnSrUf1azP1Om1n53+w7S/nB3Jpw/7LYntGK7+bCept4HQmBpRUs9cqSogmYGg+OIBxJSSlG6MwrlRzFkxEF7xNNiE6AWg+WP9Fgav5Pg2fF9sagLRjZJRF+MaiEQA5KMi1eOPbv5qsrwkaojkcKabDuSRLy2I3CYJV8vZOvuN0FnOrAgDlLHxr5Swu/9XWfyMAkZHXHL6cbOPV3uoQix9s+1UozyfF9oMNF2KgLMJG+pYAylLWc1qFstp3DqC0iEaxCPaWNrxfRSASuve2/0WpITOtvfvAza+L7+csRoazb2z3hcoqavJStZO2HC8LgOa9A5jOpZpy1osXO5w+A2nDaBCtAPiOZaHmo/VfFvZzzsJ61VAQrRDIawMwnst7llbqitXDrktZzXufVsprDi/mJMu3lm/ZvwobCWB6NaaPWS455PKtzWmNUJbhG58/ORDKWdhAG5k2LK0ADJ8V1FzVZ5v0W7cJ3TtufxUsjFy3TgCaKy8LVb0AmC6iHljTzYHsnJguyuq/0t3XU7rzSALQ3JiN2H8eNs6Dpg2VULpQI7/1GRLLYGGclXSdZn1l1WNiWntec/9VAVAPavnaxnOpDfYGwHsCmFblSJR+8R9p8+uQw7eMjLwhgP51sYEVSHWI6AKBmrWUdj7t2c7UKl/btJhRF21c/rutvwYD03nx3WzF9cbCdzwagm+phNIqrzmtDs/AB0ardMfhdUlrB1BWsfzGh0uNL8qsL8Mx0amHAwBqwu8cFKcZOZGBpO6N778qvrH2IytyhtelZu62s5oU18MNAzZwWh4O2VUcfmfTeakOOhq1773/rMwGmwXCNwairMJ2sxXLZHtT1vnvHcDt1wVB5ahgnu8AetMi2u/yeBFpQwDji7Ce+c7618U3Vt1O2tC37D+LmgBVlU0viu0sbTm8KtWJTSspC4Vpy8VbDi8AYFxFWYXtbPG9bX9VjiuCYDtjQdoRwPAybGBZRL42+WH1gelcNrB0wcM1OwgbWJahrKqd5Xfc/lIQmhuOFwLQfuD2V8EJZRm+nZ9x1LXIla99fFHtyOpWrP6QNr+OfEcAw+vSfPDSSYZoo5q/b2x6NXFnaqMae74xBoYXEYvIV14BFu2s+nRn0zIAaFm4d060PaNT7TDdukw2MhLmg5eQbm28LOnOWVDNtvvB9l+Gv/j7v/OeIOQYX0TaeOlkE9OWIjlaujMllA7jy1IdsU20nhTzrU1LeU8Wjq+nxfdpugglwbT43tOO4+sAUV94KguVhXygHAjKkTbkaLa35sr91tOGcKDwcIIjJiMYjUDA4T1lyHeMTuqEhHxjZSkYIoOF0YZ8rmw7az/adBFIgIMTMRhM7ZVPKylBSdEqbSwaxaqIVEa+sekiQPQvoCw5lm98/6uSr5IPjBZqpKS0tf7zQEK+NhbayPFCzdoiHx5eXERZCqD3rDcPAJUwryXgOytLKUkO39vZtzatNL6MdGuczAYj0L+O6izaD+57ji/LeCkAaWec2NxY2lpZynfkaPnWooUccsCV1wawuTaKNjAWSlubXgQI72kTp6WaNacztO+Ngvd1qmquXA4ZGJRRCcryPeXgaOmONrD9aJEBMhYSuHhr+Y7jGWIRpQOyKpy4t8iA4DvGQtYTQCykDOstluG9EShnwYlpRwaGz8LGekY0OdPWmo8G0XpLO04rjReCQQYlwdBcW1mKheUs1AqCHCJ9bwxGJxBKaK4N4nQGOWJVFt+ltOW4Uv958Z1RiE71VOQ7AvSdRRZFEC//jfsvsPzvFA1qephvGS267710mM7mnLG5MoAwKCHfWPvR8h2nJdTI9pZ2s1qHS9lEGeCQYbws0yp8677jeFnyjZezgAGO7k2qgRCO5sp9Z/nOSovISDtWL+YDh0tMl1P71hksS8nBwvajK8t7WmHk6u8IIu1YFnNwkqFZ2/I7bv+6dN+n8SKU5RvrvyicLK9t+caaGw4v5iuEtLU6rhXaYDahdNBC81YvdP47H16KIylMHUqH8Rejr933tvzO5bCR5SzSrdvIaKE0P9Zpr1yO9oOXBgzK6802m7WNl0JC+9Z9x2hgoynJCkUooW5C+9FXf7L+c8k4LQGQMZ9x8435znxrLGw+eDnTTI7rNSiytPVFY/ieNlGO4YvCkQxamcPA6k+JweFVWG9lqehkhQj6wLKMaDm8LtMqfGe+M4rjCyHP19TLN17y/F3AdKbSCUQ0ymubloqFat4QHdItZcgbRgsAi7c2vC5KyGuraASx/0Wx3kAMLxSdohFITiwLdW/TdB51LZzIwu6tlwav/sWW3xllkaAMec1IEA2W3/pwKQo20HdWz4U2wnbWvbPSsD4FiFZlqZrBVxRNF7H8Jk0rNdc2XkT3g6eNlSW6Nx4N6mkvbc17O/uWw6UigYAMEPLa0pbRQY7o5L2xcFpW0/lZfpaf5Wf5WX6W/1fhP/zzP+HwprmdvHV+SoN9lCcrnH5k8GSrB3WenMdzw51+W346xINBHzR8MLHnhnjc9vE+pMM/Shz/iuLJdT2Y52kPz03yOXly8qedPFnh/hOikw/4f3Tcx7o+bf7kuMf6DwDw6ZLHPT/u9kG107E+saLHIHlupT9xSz+x3lNW9QdIeDDb5+RHTexHWx1njqdA8nhpP1p42uHjsR5Y35OreG6Ix7rGM5D7xD485xlOC3/iTj5Y/iccQrX0U+DhebQ0J2zxz03ypwDj6Gc+Pe2fIg96e1IRn1jRky4Xz6D3Ry3oR/dhdq1nabgvOiFz/D+S+scYj38/VxmO0zrlsIzjn4Wc/j4trOXPFT74cVrhsZxWyMd/fHpAm+hPtXwkj6kqT8sfUzEeax7lgY5Oe3tQ5wGx5oO2TzZ8bpQ/Vz7d+ZPyU8DwJHKOIHlYeKJi/BgYjvJpMDxA3WNlPZAnFfoXV3uy4fH3KZZwosEH5af1HxBrPij/s+R/xXX8FOfwCZw8cA6PW53a+3MNH9f5BFqqZD6RlHxCnnMCT9bEU2b7iQp4RuMP6FY/Mb0ngfHT9fsXI+F/AFsJGOYKZW5kc3RyZWFtCmVuZG9iago3MiAwIG9iago5Mjk2NQplbmRvYmoKMiAwIG9iago8PCAvQ291bnQgMSAvS2lkcyBbIDEwIDAgUiBdIC9UeXBlIC9QYWdlcyA+PgplbmRvYmoKNzMgMCBvYmoKPDwgL0NyZWF0aW9uRGF0ZSAoRDoyMDIwMDcwNDEzMDUwNCswMicwMCcpCi9DcmVhdG9yIChtYXRwbG90bGliIDMuMS4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcpCi9Qcm9kdWNlciAobWF0cGxvdGxpYiBwZGYgYmFja2VuZCAzLjEuMykgPj4KZW5kb2JqCnhyZWYKMCA3NAowMDAwMDAwMDAwIDY1NTM1IGYgCjAwMDAwMDAwMTYgMDAwMDAgbiAKMDAwMDExNTg4MSAwMDAwMCBuIAowMDAwMDIyMzgxIDAwMDAwIG4gCjAwMDAwMjI0MjQgMDAwMDAgbiAKMDAwMDAyMjU2NiAwMDAwMCBuIAowMDAwMDIyNTg3IDAwMDAwIG4gCjAwMDAwMjI2MDggMDAwMDAgbiAKMDAwMDAwMDA2NSAwMDAwMCBuIAowMDAwMDAwMzk2IDAwMDAwIG4gCjAwMDAwMDAyMDggMDAwMDAgbiAKMDAwMDAwNjAxMCAwMDAwMCBuIAowMDAwMDIyNjY1IDAwMDAwIG4gCjAwMDAwMDc5MjIgMDAwMDAgbiAKMDAwMDAwNzcxNyAwMDAwMCBuIAowMDAwMDA3Mzc0IDAwMDAwIG4gCjAwMDAwMDg5ODMgMDAwMDAgbiAKMDAwMDAwNjAzMSAwMDAwMCBuIAowMDAwMDA2MzMwIDAwMDAwIG4gCjAwMDAwMDY1ODkgMDAwMDAgbiAKMDAwMDAwNjY3OCAwMDAwMCBuIAowMDAwMDA3MDk5IDAwMDAwIG4gCjAwMDAwMjA3NzggMDAwMDAgbiAKMDAwMDAyMDU3OCAwMDAwMCBuIAowMDAwMDIwMDE4IDAwMDAwIG4gCjAwMDAwMjE4MzEgMDAwMDAgbiAKMDAwMDAwOTA2MyAwMDAwMCBuIAowMDAwMDA5MjA5IDAwMDAwIG4gCjAwMDAwMDkzNTggMDAwMDAgbiAKMDAwMDAwOTUxNyAwMDAwMCBuIAowMDAwMDA5NzU1IDAwMDAwIG4gCjAwMDAwMTAwNTUgMDAwMDAgbiAKMDAwMDAxMDQ2NiAwMDAwMCBuIAowMDAwMDEwNjkyIDAwMDAwIG4gCjAwMDAwMTA4MzQgMDAwMDAgbiAKMDAwMDAxMTIxMSAwMDAwMCBuIAowMDAwMDExMzU0IDAwMDAwIG4gCjAwMDAwMTE0OTMgMDAwMDAgbiAKMDAwMDAxMTc5NiAwMDAwMCBuIAowMDAwMDExOTM2IDAwMDAwIG4gCjAwMDAwMTIyNTQgMDAwMDAgbiAKMDAwMDAxMjcxOSAwMDAwMCBuIAowMDAwMDEyOTI1IDAwMDAwIG4gCjAwMDAwMTMyNDUgMDAwMDAgbiAKMDAwMDAxMzQwNyAwMDAwMCBuIAowMDAwMDEzODE4IDAwMDAwIG4gCjAwMDAwMTM5NDIgMDAwMDAgbiAKMDAwMDAxNDA5NSAwMDAwMCBuIAowMDAwMDE0MjEyIDAwMDAwIG4gCjAwMDAwMTQ1NDAgMDAwMDAgbiAKMDAwMDAxNDcxMCAwMDAwMCBuIAowMDAwMDE0OTQ0IDAwMDAwIG4gCjAwMDAwMTUzMzcgMDAwMDAgbiAKMDAwMDAxNTYyNCAwMDAwMCBuIAowMDAwMDE1Nzc2IDAwMDAwIG4gCjAwMDAwMTYwODUgMDAwMDAgbiAKMDAwMDAxNjIwNiAwMDAwMCBuIAowMDAwMDE2NTE2IDAwMDAwIG4gCjAwMDAwMTY3NDYgMDAwMDAgbiAKMDAwMDAxNzE1MSAwMDAwMCBuIAowMDAwMDE3MjkxIDAwMDAwIG4gCjAwMDAwMTc2ODEgMDAwMDAgbiAKMDAwMDAxNzc3MCAwMDAwMCBuIAowMDAwMDE3OTc0IDAwMDAwIG4gCjAwMDAwMTgzODUgMDAwMDAgbiAKMDAwMDAxODcwNiAwMDAwMCBuIAowMDAwMDE4OTUwIDAwMDAwIG4gCjAwMDAwMTkwNzQgMDAwMDAgbiAKMDAwMDAxOTIxOCAwMDAwMCBuIAowMDAwMDE5Mzc4IDAwMDAwIG4gCjAwMDAwMTk1ODkgMDAwMDAgbiAKMDAwMDAxOTczNSAwMDAwMCBuIAowMDAwMTE1ODU5IDAwMDAwIG4gCjAwMDAxMTU5NDEgMDAwMDAgbiAKdHJhaWxlcgo8PCAvSW5mbyA3MyAwIFIgL1Jvb3QgMSAwIFIgL1NpemUgNzQgPj4Kc3RhcnR4cmVmCjExNjA5NQolJUVPRgo=\n", - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, (top, bottom) = plt.subplots(2, figsize=(9,6))\n", - "fig.tight_layout(pad=3, h_pad=1.8)\n", - "\n", - "range_start, range_len = -300, 60 # [s]\n", - "\n", - "data_slice = data[ int(range_start * sampling_rate) : int((range_start + range_len) * sampling_rate) ]\n", - "\n", - "top.grid()\n", - "top.plot(np.linspace(0, range_len, int(range_len*sampling_rate)), data_slice, lw=1.0)\n", - "top.set_xlim([range_len/2-0.25, range_len/2+0.25])\n", - "mean = np.mean(data_interp)\n", - "rms = np.sqrt(np.mean(np.square(data_interp - mean)))\n", - "peak = np.max(np.abs(data_interp - mean))\n", - "top.axhline(mean, color='red')\n", - "bbox = {'facecolor': 'black', 'alpha': 0.8, 'pad': 2}\n", - "top.text(0.02, 0.5, f'mean: {mean:.3f}', transform=top.transAxes, color='white', bbox=bbox, ha='left', va='center')\n", - "top.text(0.98, 0.2, f'V_RMS: {rms:.3f}', transform=top.transAxes, color='white', bbox=bbox, ha='right')\n", - "top.text(0.98, 0.1, f'V_Pk: {peak:.3f}', transform=top.transAxes, color='white', bbox=bbox, ha='right')\n", - "top.text(0.5, 0.9, f'Run {run_id}', transform=top.transAxes, color='white', bbox=bbox, ha='center', fontweight='bold')\n", - "\n", - "bottom.grid()\n", - "bottom.specgram(data_slice, Fs=sampling_rate)\n", - "top.set_ylabel('U [V]')\n", - "bottom.set_ylabel('F [Hz]')\n", - "bottom.set_xlabel('t [s]')\n", - "\n", - "top.set_title('Voltage waveform')\n", - "bottom.set_title('Voltage frequency spectrum')\n", - "None" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Calculate Short-Time Fourier Transform of capture" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Window length: 256 sp, zero-padded to 256 sp\n", - "STFT sampling rate: 7.91015625\n" - ] - } - ], - "source": [ - "def calc_stft(data, fs=sampling_rate, ff:'Hz nominal'=50.0):\n", - " analysis_periods = 10\n", - " window_len = 256 # fs * analysis_periods/ff\n", - " nfft_factor = 1\n", - " sigma = window_len/8 # samples\n", - "\n", - " f, t, Zxx = signal.stft(data,\n", - " fs = fs,\n", - " window=('gaussian', sigma),\n", - " nperseg = window_len,\n", - " nfft = window_len * nfft_factor)\n", - " print(f'Window length: {window_len:.0f} sp, zero-padded to {window_len * nfft_factor:.0f} sp')\n", - " stft_output_sampling_rate = 1.0/(t[1] - t[0])\n", - " print('STFT sampling rate:', stft_output_sampling_rate)\n", - " return f, t, Zxx, stft_output_sampling_rate\n", - "\n", - "f, t, Zxx, stft_output_sampling_rate = calc_stft(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Show a preview of STFT results\n", - "\n", - "Cut out our approximate frequency range of interest" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - 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\n", - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(9, 3))\n", - "fig.tight_layout(pad=2, h_pad=0.1)\n", - "\n", - "ax.pcolormesh(t[-200:-100], f[:250], np.abs(Zxx[:250,-200:-100]))\n", - "ax.set_title(f\"Run {last_run}\", pad=-20, color='white')\n", - "ax.grid()\n", - "ax.set_ylabel('f [Hz]')\n", - "ax.set_ylim([30, 75]) # Hz\n", - "ax.set_xlabel('capture time t [s]')\n", - "None" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Run Gasior and Gonzalez for precise frequency estimation\n", - "\n", - "Limit analysis to frequency range of interest. If automatic adaption to totally different frequency ranges\n", - "(e.g. 400Hz) would be necessary, we could switch here based on configuration or a lookup of the STFT bin\n", - "containing highest overall energy.\n", - "\n", - "As elaborated in the Gasior and Gonzalez Paper [1] the shape of the template function should match the expected peak shape.\n", - "Peak shape is determined by the STFT window function. As Gasior and Gonzalez note, a gaussian is a very good fit for a steep gaussian window." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2b2c627591e44047af4bfcfe0e106888", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(FloatProgress(value=0.0, max=1946199.0), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "def runner(args):\n", - " frame_f, frame_Z, le_t = args\n", - " # Template function. We use a gaussian here. This function needs to fit the window above.\n", - " def gauss(x, *p):\n", - " A, mu, sigma = p\n", - " return A*np.exp(-(x-mu)**2/(2.*sigma**2))\n", - "\n", - " # Calculate initial values for curve fitting\n", - " f_start = frame_f[np.argmax(frame_Z)] # index of strongest bin index\n", - " A_start = np.max(frame_Z) # strongest bin value\n", - " p0 = [A_start, f_start, 1.]\n", - " try:\n", - " # Fit template to measurement data STFT ROI \n", - " coeff, var = optimize.curve_fit(gauss, frame_f, frame_Z, p0=p0)\n", - " _A, rv, _sigma, *_ = coeff # The measured frequency is the mean of the fitted gaussian\n", - " return rv\n", - "\n", - " except Exception as e:\n", - " # Handle fit errors\n", - " return np.nan\n", - "\n", - "def gasior_gonzalez_fmeas(f, t, Zxx):\n", - " import multiprocessing\n", - "\n", - " chunksize = 1000\n", - "\n", - " n_f, n_t = Zxx.shape\n", - " # Frequency ROI\n", - " f_min, f_max = 30, 70 # Hz\n", - " # Indices of bins within ROI\n", - " bounds_f = slice(np.argmax(f > f_min), np.argmin(f < f_max))\n", - "\n", - " # Initialize output array\n", - " f_mean = np.zeros(Zxx.shape[1])\n", - "\n", - " jobs = {}\n", - " with multiprocessing.Pool(multiprocessing.cpu_count()) as pool, tqdm(total=Zxx.shape[1]-2) as tq:\n", - " # Iterate over STFT time slices\n", - " for le_t in range(0, Zxx.shape[1], chunksize):\n", - " # Cut out ROI and compute magnitude of complex fourier coefficients\n", - " jobs[le_t] = pool.map_async(runner, [\n", - " (f[bounds_f], np.abs(Zxx[bounds_f, frame_t]), frame_t) for frame_t in range(le_t, min(Zxx.shape[1], le_t+chunksize))\n", - " ], callback=lambda _x: tq.update(chunksize))\n", - "\n", - " pool.close()\n", - " for le_t, future in jobs.items():\n", - " f_mean[le_t:le_t+chunksize] = future.get()\n", - " pool.join()\n", - "\n", - " # Cut off invalid values at fringes\n", - " return f_mean[1:-2], t[1:-2]\n", - "\n", - "f_mean, f_mean_t = gasior_gonzalez_fmeas(f, t, Zxx)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Produce plots of measurement results\n", - "\n", - "### Plot results as time-series data\n", - "Include measurements of mean, standard deviation and variance of measurement data" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "application/pdf": 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\n", - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pdate = lambda s: dates.date2num(datetime.datetime.fromisoformat(s))\n", - "td2num = lambda td: dates.date2num(start + datetime.timedelta(seconds=td))\n", - "\n", - "def plot_freq_trace(outfile, xlim=None, minor_locator=dates.HourLocator(interval=3), major_locator=dates.HourLocator(interval=12), smooth_sec=None):\n", - " fig, ax = plt.subplots(figsize=(6, 4), sharex=True)\n", - " fig.tight_layout(pad=3.5, h_pad=0, w_pad=1)\n", - "\n", - " if smooth_sec is not None:\n", - " # smooth data by convolving with a blackman window\n", - " a = int(10 * smooth_sec)\n", - " a = a//2*2 + 1 # make a odd\n", - " w = np.blackman(a)\n", - " f_smooth = np.convolve(w/w.sum(), f_mean, mode='valid')\n", - " t_smooth = f_mean_t[a//2:-a//2+1]\n", - " else:\n", - " f_smooth = f_mean\n", - " t_smooth = f_mean_t\n", - " \n", - " ax.plot([ td2num(td) for td in t_smooth ], f_smooth, lw=1)\n", - " ax.set_ylabel('f [Hz]')\n", - " \n", - " var = np.var(f_mean[~np.isnan(f_mean)][1:-1])\n", - " mean = np.mean(f_mean[~np.isnan(f_mean)][1:-1])\n", - " ax.text(0.5, 0.93, f'Run {run_id}, {time_window}', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - " ax.text(0.05, 0.15, f'μ={mean:.3g} Hz', transform=ax.transAxes, ha='left', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - " ax.text(0.05, 0.09, f'σ={np.sqrt(var) * 1e3:.3g} mHz', transform=ax.transAxes, ha='left', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - " ax.text(0.05, 0.03, f'σ²={var * 1e3:.3g} mHz²', transform=ax.transAxes, ha='left', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - "\n", - " # Indicate missing values\n", - " for i in np.where(np.isnan(f_mean))[0]:\n", - " ax.axvspan(td2num(t[i]), td2num(t[i+1]), color='lightblue')\n", - "\n", - " ax.xaxis.set_major_locator(major_locator)\n", - " ax.xaxis.set_minor_locator(minor_locator)\n", - " formatter = dates.DateFormatter('%Y-%m-%d\\n%H:%M:%S')\n", - " ax.xaxis.set_major_formatter(formatter)\n", - " ax.set_xlabel('recording time t [hh:mm:ss]')\n", - " ax.grid(True, which='both')\n", - " if xlim is not None:\n", - " ax.set_xlim(xlim)\n", - " fig.savefig(f'fig_out/{outfile}.pdf')\n", - " None\n", - " \n", - "plot_freq_trace('freq_meas_trace_24h',\n", - " xlim=[pdate('2020-04-03 15:00:00'), pdate('2020-04-05 21:00:00')],\n", - " smooth_sec=60*5,\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "application/pdf": 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\n", - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plot_freq_trace('freq_meas_trace_2h_2',\n", - " xlim=[pdate('2020-04-03 17:30'), pdate('2020-04-03 19:30:00')],\n", - " smooth_sec=10,\n", - " minor_locator=dates.MinuteLocator(interval=10),\n", - " major_locator=dates.MinuteLocator(interval=30))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot raw mains voltage spectrum\n", - "\n", - "First compute FFT of voltage, then smoothen and plot" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "def compute_voltage_fft(data):\n", - " # Number of samplepoints\n", - " N = len(data)\n", - " # sample spacing\n", - " T = 1.0 / sampling_rate\n", - " x = np.linspace(0.0, N*T, N)\n", - " yf = np.absolute(scipy.fftpack.fft(data * sig.blackman(N)))**2\n", - " xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n", - "\n", - " yf = 2.0/N * np.abs(yf[:N//2])\n", - "\n", - " average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n", - "\n", - " average_width = 6\n", - " average_start = 20\n", - " yf = average_from(yf, average_start, average_width)\n", - " xf = average_from(xf, average_start, average_width)\n", - " yf = average_from(yf, 200, average_width)\n", - " xf = average_from(xf, 200, average_width)\n", - " return xf, yf\n", - "#voltage_fft = compute_voltage_fft(data_interp)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "application/pdf": 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\n", - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "def plot_voltage_spectrum(xf, yf):\n", - " fig, ax = plt.subplots(figsize=(6, 3))\n", - " fig.tight_layout(pad=2.0)\n", - "\n", - " yf2 = np.copy(yf)\n", - " #chunk_size = 200\n", - " #for i in range(len(yf)-chunk_size, 1, -chunk_size):\n", - " # yf2 = np.hstack([yf2[:i], sig.savgol_filter(yf2[i:], 23, 3)])\n", - "\n", - " ax.loglog(xf, yf2, lw=1)\n", - " #ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", - " ax.set_xlabel('f [Hz]')\n", - " ax.set_ylabel('Amplitude V [V]')\n", - " ax.grid()\n", - " ax.set_xlim([0.001, 500])\n", - " fig.subplots_adjust(bottom=0.2)\n", - "\n", - " for le_f in (50, 150, 250, 350, 450):\n", - " ax.axvline(le_f, color=(1, 0.5, 0.5), zorder=-2)\n", - " ax.annotate('50 Hz', xy=(15, 0.1), xycoords='data', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - " ax.text(0.5, 0.9, f'Run {run_id}, {time_window}', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - " fig.savefig('fig_out/mains_voltage_spectrum.pdf')\n", - "#plot_voltage_spectrum(*voltage_fft)\n", - "plot_voltage_spectrum(*compute_voltage_fft(data_interp))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot frequency spectrum" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "application/pdf": 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\n", - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "def plot_fmeas_spectrum(data):\n", - " # Number of samplepoints\n", - " newcopy = np.copy(data)\n", - " nans, x = nan_helper(newcopy)\n", - " newcopy[nans]= np.interp(x(nans), x(~nans), newcopy[~nans])\n", - "\n", - " N = len(newcopy)\n", - " # sample spacing\n", - " T = 1.0 / stft_output_sampling_rate\n", - " x = np.linspace(0.0, N*T, N)\n", - " yf = np.absolute(scipy.fftpack.fft(newcopy * sig.blackman(N)))**2\n", - " xf = np.linspace(0.0, stft_output_sampling_rate/2, N//2)\n", - "\n", - " yf = 2.0/N * np.abs(yf[:N//2])\n", - "\n", - " #chunk_size = 200\n", - " #for i in range(len(yf)-chunk_size, 1, -chunk_size):\n", - " # yf = np.hstack([yf[:i], sig.savgol_filter(yf[i:], 23, 3)])\n", - "\n", - " fig, ax = plt.subplots(figsize=(12,6))\n", - " ax.loglog(xf, yf, label='spectrum', lw=1)\n", - " ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", - " ax.set_xlabel('Period T [s]')\n", - " ax.set_ylabel('Power Spectral Density [Hz^2/Hz]')\n", - "\n", - " for i, t in enumerate([0.5, 1.0, 1.5, 2.0, 3.9, 6.3, 10, 12, 60, 300, 360, 450, 900, 1200, 1800, 2700, 3600]):\n", - " ax.axvline(1/t, color='red', alpha=0.5, zorder=-1)\n", - " ax.annotate(f'{t} s', xy=(1/t, 1e-7), xytext=(-10, 5), xycoords='data', textcoords='offset pixels', rotation=90)\n", - " #ax.text(1/60, 10,'60 s', ha='left')\n", - " ax.grid()\n", - " ax.set_xlim([1/(10*3600), 5])\n", - " ax.set_ylim([1e-7, 1e2])\n", - " ax.autoscale(False) # do not include noise illustration lines in autoscaling\n", - " ax.plot(xf[1:], 1e-4/xf[1:], label='$f^{-1}$ line', color='orange', ls=':')\n", - " ax.plot(xf[1:], 1e-8/(xf[1:]**4), label='$f^{-3}$ line', color='orange', ls='--')\n", - " ax.plot(xf[1:], np.tile(1e-6, len(xf)-1), label='noise floor', color='orange', ls='-.')\n", - " \n", - "\n", - " #yf2 = np.copy(yf)\n", - " #chunk_size = 50\n", - " #for i in range(len(yf)-chunk_size, 1, -chunk_size):\n", - " # yf2 = np.hstack([yf2[:i], sig.savgol_filter(yf2[i:], 23, 3)])\n", - " #chunk_size = 2000\n", - " #for i in range(len(yf2)-chunk_size, 1, -chunk_size):\n", - " # yf2 = np.hstack([yf2[:i], sig.savgol_filter(yf2[i:], 511, 3)])\n", - " #ax.plot(xf, yf2)\n", - " spline_first = 4\n", - " foo = np.log(yf[spline_first:])\n", - " foo_w = np.tile(1, len(foo))\n", - " foo_w[np.isnan(foo)] = 0\n", - " foo[np.isnan(foo)] = 0\n", - " spl = scipy.interpolate.splrep(x=xf[spline_first:], y=foo, w=foo_w, t=np.logspace(-4.5, 0, 100) * (0.45 * stft_output_sampling_rate), task=-1)\n", - " ax.plot(xf[spline_first:], np.exp(scipy.interpolate.splev(xf[spline_first:], spl)), color='red', label='log-log spline interpolation')\n", - " \n", - " ax.text(0.5, 0.9, f'Run {run_id}, {time_window}', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", - "\n", - " ax.legend(loc='upper right')\n", - " fig.savefig('fig_out/freq_meas_spectrum.pdf')\n", - " \n", - " return (xf[spline_first], xf[-1], len(xf[spline_first:])), spl\n", - "psd_spl_x, psd_spl = plot_fmeas_spectrum(f_mean)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Export measurement data for modulation simulations" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Invalid samples: 24 / 1946198 (12.3 ppm)\n" - ] - } - ], - "source": [ - "print(f'Invalid samples: {np.sum(np.isnan(f_mean))} / {len(f_mean)} ({np.sum(np.isnan(f_mean))/len(f_mean)*1e6:.1f} ppm)')\n", - "\n", - "with open(f'data/fmeas_export_ocxo_2day.bin', 'wb') as f:\n", - " for sample in f_mean:\n", - " if not np.isnan(sample):\n", - " f.write(struct.pack('" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "with open(f'grid_freq_psd_spl_{len(psd_spl[1])}pt.json', 'w') as f:\n", - " json.dump({'x_spec': psd_spl_x, 't': psd_spl[0].tolist(), 'c': psd_spl[1].tolist(), 'k': psd_spl[2] }, f)\n", - "\n", - "def generate_synthetic_noise(specfile='grid_freq_psd_spl_108pt.json'):\n", - " with open(specfile) as f:\n", - " d = json.load(f)\n", - " x = np.linspace(*d['x_spec'])\n", - " N = len(x)\n", - " psd_spl = d['t'], d['c'], d['k']\n", - " \n", - " noise = np.random.normal(size=N) * 2\n", - " spec = scipy.fftpack.fft(noise) **2\n", - "\n", - " spec *= np.exp(scipy.interpolate.splev(x, psd_spl))\n", - "\n", - " spec **= 1/2\n", - " \n", - " renoise = scipy.fftpack.ifft(spec)\n", - " return x, renoise\n", - "\n", - "def noise_sim(specfile='grid_freq_psd_spl_108pt.json'):\n", - " x, renoise = generate_synthetic_noise(specfile)\n", - " N = len(x)\n", - " respec = 2.0/N * np.absolute(scipy.fftpack.fft(renoise * np.blackman(N))) ** 2\n", - " \n", - " #xf = np.linspace(0, 10/2, N//2)\n", - " fig, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(5, figsize=(12, 15), gridspec_kw={'hspace': 0.5})\n", - " \n", - " ax1.loglog(x, respec, lw=1)\n", - " ax1.plot(x, np.exp(scipy.interpolate.splev(x, psd_spl)), color='red', label='log-log spline interpolation')\n", - " ax1.grid()\n", - " ax1.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", - " ax1.set_xlabel('Period T [s]')\n", - " ax1.set_ylabel('Power Spectral Density\\n[$Hz^2/Hz$]')\n", - " ax1.set_title('Simulated Noise Spectrum')\n", - " def plot_sigs(ax, lims, tick_ivl, legend_loc=None, title=None):\n", - " ax.plot(renoise[slice(*lims)], label='Synthetic signal')\n", - " ax.plot(f_mean[slice(*lims)] - np.mean(f_mean[~np.isnan(f_mean)]), label='Reference signal')\n", - " ax.grid()\n", - " if legend_loc is not None:\n", - " ax.legend(loc=legend_loc)\n", - " ax.set_ylabel('Frequency deviation\\nΔf [Hz]')\n", - " ax.set_xlabel('Sampling time [s]')\n", - " ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{x/10:.0f}'))\n", - " ax.xaxis.set_major_locator(plt.MultipleLocator(tick_ivl * 10.0))\n", - " ax.set_xlim([0, lims[1]-lims[0]])\n", - " if title:\n", - " ax.set_title(title)\n", - " plot_sigs(ax2, [10000, 210000], 3600, title='Simulated Noise Waveform [5 hour]')\n", - " plot_sigs(ax3, [10000, 20000], 60, title='Simulated Noise Waveform [20 min]')\n", - " plot_sigs(ax4, [10000, 11000], 10, title='Simulated Noise Waveform [2 min]')\n", - " plot_sigs(ax5, [10000, 10100], 1, legend_loc='lower center', title='Simulated Noise Waveform [10 sec]')\n", - " \n", - " return fig\n", - " \n", - "noise_sim().savefig('fig_out/simulated_noise_spectrum.pdf')" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Window length: 256 sp, zero-padded to 256 sp\n", - "STFT sampling rate: 7.91015625\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": 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\n", - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "def do_artificial_noise_simulation(duration:'seconds' = 3600.0, sampling_rate=sampling_rate):\n", - " t_pad = 1000.0\n", - " offx = int(t_pad*stft_output_sampling_rate)\n", - " \n", - " _x, noise_freqs = generate_synthetic_noise()\n", - " noise_freqs = np.absolute(noise_freqs)[offx:][:int(duration * stft_output_sampling_rate) + 1]\n", - " x = np.linspace(0, duration, int(duration*sampling_rate))\n", - " noise_resampled = np.interp(x, np.linspace(0, len(noise_freqs)/stft_output_sampling_rate, len(noise_freqs)), noise_freqs)\n", - " \n", - " phase_acc = 0.0\n", - " out = np.zeros(len(noise_resampled))\n", - " for i, f in enumerate(noise_resampled):\n", - " phase_acc += 2*np.pi*(50.0 + f) / sampling_rate\n", - " out[i] = np.sin(phase_acc)\n", - " if phase_acc > 2*np.pi:\n", - " phase_acc -= 2*np.pi\n", - " \n", - " return out, noise_freqs\n", - "\n", - "def recalc_f(duration=3600.0):\n", - " new_data, orig_noise = do_artificial_noise_simulation(duration, sampling_rate)\n", - " f, t, Zxx, stft_output_sampling_rate = calc_stft(new_data, sampling_rate)\n", - " #plt.matshow(np.absolute(Zxx), aspect='auto')\n", - " f_mean, t = gasior_gonzalez_fmeas(f, t, Zxx)\n", - " return t, f_mean, orig_noise\n", - "\n", - "def feedback_plot(duration=3600):\n", - " fig, axs = plt.subplots(5, 1, figsize=(12, 15))\n", - " new_t, new_mean, orig_noise = recalc_f()\n", - " for ax, time_range in zip(axs.flatten(), (duration, 300, 30, 5)):\n", - " ax.plot(new_t, orig_noise[1:-1], label='original')\n", - " ax.plot(new_t, new_mean - 50, label='re-calculated')\n", - " ax.grid()\n", - " ax.set_xlim((duration/2-time_range/2, duration/2+time_range/2))\n", - " ax.set_ylabel('Frequency deviation\\nΔf [Hz]')\n", - " axs[-2].legend()\n", - " delta = orig_noise[1:-1] - (new_mean - 50)\n", - " print(np.sqrt(np.mean(np.square(delta))))\n", - " axs[-1].plot(new_t, delta)\n", - " axs[-1].set_xlabel('Sampling time [s]')\n", - " axs[-1].set_xlim((0, duration))\n", - " axs[-1].grid()\n", - " axs[-1].set_title('Difference')\n", - " axs[-1].set_ylabel('Frequency deviation\\nΔf [Hz]')\n", - " axs[0].set_title('Original and re-calculated signals')\n", - " fig.tight_layout()\n", - " return fig\n", - "\n", - "feedback_plot().savefig('fig_out/freq_meas_feedback.pdf')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# References\n", - "\n", - "1. **Gasior, M. & Gonzalez, J.** Improving FFT frequency measurement resolution by parabolic and gaussian interpolation *CERN-AB-Note-2004-021, CERN-AB-Note-2004-021, 2004*" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "labenv", - "language": "python", - "name": "labenv" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/lab-windows/grid_frequency_spectra.ipynb b/lab-windows/grid_frequency_spectra.ipynb deleted file mode 100644 index 983db07..0000000 --- a/lab-windows/grid_frequency_spectra.ipynb +++ /dev/null @@ -1,399 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import csv\n", - "\n", - "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "import scipy.fftpack" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib widget" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "data = np.genfromtxt('data/Netzfrequenz_Sekundenwerte_2012_KW37.csv', delimiter=',')[1:,1:]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "171a6975a39e48bcac5e1247903b70f4", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.plot(data[:3600*24, 0])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.02051102806199375" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.std(data[:,0])" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2b835c8fb082428cabc1ad9112286728", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(1e-06, 0.5)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Number of samplepoints\n", - "N = len(data[:,0])\n", - "# sample spacing\n", - "T = 1.0\n", - "x = np.linspace(0.0, N*T, N)\n", - "yf = scipy.fftpack.fft(data[:,0])\n", - "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n", - "\n", - "yf = 2.0/N * np.abs(yf[:N//2])\n", - "\n", - "#yf = sum(yf[s::10] for s in range(10)) / 10\n", - "#xf = sum(xf[s::10] for s in range(10)) / 10\n", - "\n", - "fig, ax = plt.subplots()\n", - "ax.loglog(xf, yf)\n", - "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", - "ax.set_xlabel('T in s')\n", - "ax.set_ylabel('Amplitude Δf')\n", - "ax.grid()\n", - "ax.set_xlim([1/1000000, 0.5])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "94ca3cb49e7d452dab8f7e2e8d632b84", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(5e-07, 0.02)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Number of samplepoints\n", - "N = len(data[:,0])\n", - "# sample spacing\n", - "T = 1.0\n", - "x = np.linspace(0.0, N*T, N)\n", - "yf = scipy.fftpack.fft(data[:,0])\n", - "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n", - "\n", - "yf = 2.0/N * np.abs(yf[:N//2])\n", - "\n", - "average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n", - "\n", - "average_width = 20\n", - "average_start = 100\n", - "yf = average_from(yf, average_start, average_width)\n", - "xf = average_from(xf, average_start, average_width)\n", - "yf = average_from(yf, 300, average_width)\n", - "xf = average_from(xf, 300, average_width)\n", - "\n", - "fig, ax = plt.subplots()\n", - "ax.loglog(xf, yf)\n", - "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", - "ax.set_xlabel('T in s')\n", - "ax.set_ylabel('Amplitude Δf')\n", - "\n", - "for i, t in enumerate([45, 60, 600, 1200, 1800, 3600]):\n", - " ax.axvline(1/t, color='red', alpha=0.5)\n", - " ax.annotate(f'{t} s', xy=(1/t, 3e-3), xytext=(-15, 0), xycoords='data', textcoords='offset pixels', rotation=90)\n", - "#ax.text(1/60, 10,'60 s', ha='left')\n", - "ax.grid()\n", - "ax.set_xlim([1/60000, 0.5])\n", - "ax.set_ylim([5e-7, 2e-2])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "91a04300b9164bd7a9915d0028f3e563", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ys = scipy.fftpack.fft(data[:,0])\n", - "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", - "s = 60\n", - "\n", - "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", - "\n", - "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", - "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", - "\n", - "fig, ax = plt.subplots()\n", - "ax.loglog(xs[s//2:-s//2+1], ys)\n", - "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2811a79d4ad8487f822750e4419ccfdb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ys = scipy.fftpack.fft(data[:,0])\n", - "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", - "s = 1\n", - "\n", - "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", - "\n", - "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", - "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", - "\n", - "fig, ax = plt.subplots()\n", - "ax.loglog(xs[s//2:-s//2+1 if s > 1 else None], ys)\n", - "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "c678197e011e4ab4982d3e1d2a2cee9a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ys = scipy.fftpack.fft(data[:,0])\n", - "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", - "s = 1\n", - "\n", - "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", - "\n", - "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", - "\n", - "ys *= 2*np.pi*xs\n", - "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", - "\n", - "fig, ax = plt.subplots()\n", - "ax.loglog(xs[s//2:-s//2+1 if s > 1 else None], ys)\n", - "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "52bcd29a41a54ed1bf9dc63e0c9e83d8", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ys = scipy.fftpack.fft(data[:,0])\n", - "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", - "s = 30\n", - "\n", - "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", - "\n", - "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", - "\n", - "ys *= 2*np.pi*xs[s//2:-s//2+1]\n", - "\n", - "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", - "\n", - "fig, ax = plt.subplots(figsize=(9,5))\n", - "ax.loglog(xs[s//2:-s//2+1], ys)\n", - "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", - "ax.grid()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "15.923566878980893" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "1/0.0628" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "labenv", - "language": "python", - "name": "labenv" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.1" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin deleted file mode 100644 index e99a429..0000000 Binary files a/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin and /dev/null differ diff --git a/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin deleted file mode 100644 index 7b9f8cb..0000000 Binary files a/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin and /dev/null differ diff --git a/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin deleted file mode 100644 index eb0f784..0000000 Binary files a/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin and /dev/null differ diff --git a/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin deleted file mode 100644 index 7f64b25..0000000 Binary files a/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin and /dev/null differ diff --git a/lab-windows/rocof_test_data/rocof_test_phase_steps_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_phase_steps_1kHz.bin deleted file mode 100644 index f2287ef..0000000 Binary files a/lab-windows/rocof_test_data/rocof_test_phase_steps_1kHz.bin and /dev/null differ diff --git a/notebooks/Modulation Experiment Calculations.ipynb b/notebooks/Modulation Experiment Calculations.ipynb new file mode 100644 index 0000000..37e7ccb --- /dev/null +++ b/notebooks/Modulation Experiment Calculations.ipynb @@ -0,0 +1,680 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import struct\n", + "import random\n", + "import itertools\n", + "import datetime\n", + "import multiprocessing\n", + "from collections import defaultdict\n", + "import json\n", + "import traceback\n", + "import glob\n", + "\n", + "from matplotlib import pyplot as plt\n", + "import matplotlib\n", + "from matplotlib import ticker\n", + "import numpy as np\n", + "from scipy import signal as sig\n", + "from scipy import fftpack as fftpack\n", + "import ipywidgets\n", + "from IPython.display import set_matplotlib_formats\n", + "import scipy\n", + "\n", + "from tqdm.notebook import tqdm\n", + "import colorednoise\n", + "import accupy\n", + "\n", + "np.set_printoptions(linewidth=240)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib widget\n", + "#%matplotlib inline\n", + "#set_matplotlib_formats('png', 'pdf')\n", + "#font = {'family' : 'normal',\n", + "# 'weight' : 'normal',\n", + "# 'size' : 6}\n", + "#matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "sampling_rate = 10 # sp/s" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# From https://github.com/mubeta06/python/blob/master/signal_processing/sp/gold.py\n", + "preferred_pairs = {5:[[2],[1,2,3]], 6:[[5],[1,4,5]], 7:[[4],[4,5,6]],\n", + " 8:[[1,2,3,6,7],[1,2,7]], 9:[[5],[3,5,6]], \n", + " 10:[[2,5,9],[3,4,6,8,9]], 11:[[9],[3,6,9]]}\n", + "\n", + "def gen_gold(seq1, seq2):\n", + " gold = [seq1, seq2]\n", + " for shift in range(len(seq1)):\n", + " gold.append(seq1 ^ np.roll(seq2, -shift))\n", + " return gold\n", + "\n", + "def gold(n):\n", + " n = int(n)\n", + " \n", + " min_key, max_key = min(preferred_pairs.keys()), max(preferred_pairs.keys())\n", + " \n", + " if n < min_key:\n", + " raise KeyError('preferred pairs for %s bits unknown' % str(n))\n", + " \n", + " if n > max_key:\n", + " t0, t1 = preferred_pairs[max_key]\n", + " (seq0, _st0), (seq1, _st1) = sig.max_len_seq(max_key, taps=t0), sig.max_len_seq(max_key, taps=t1)\n", + " raw_codes = gen_gold(seq0, seq1)\n", + " # Hackety hack: This is super-experimental test code and guaranteed sub-optimal!\n", + " \n", + " raw_codes = np.array(raw_codes)\n", + " out = raw_codes[:-1]\n", + " for i in range(n - max_key):\n", + " out = np.hstack([out[:out.shape[0]//2], out[out.shape[0]//2:]])\n", + " return out\n", + " \n", + " else:\n", + " t0, t1 = preferred_pairs[n]\n", + " (seq0, _st0), (seq1, _st1) = sig.max_len_seq(n, taps=t0), sig.max_len_seq(n, taps=t1)\n", + " return np.array(gen_gold(seq0, seq1))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def modulate(data, nbits=5, pad=True):\n", + " # 0, 1 -> -1, 1\n", + " mask = np.array(gold(nbits))*2 - 1\n", + " \n", + " sel = mask[data>>1]\n", + " data_lsb_centered = ((data&1)*2 - 1)\n", + "\n", + " signal = (np.multiply(sel, np.tile(data_lsb_centered, (sel.shape[1], 1)).T).flatten() + 1) // 2\n", + " if pad:\n", + " print('mod: padding by', mask.shape[1])\n", + " return np.hstack([ np.zeros(mask.shape[1]), signal, np.zeros(mask.shape[1]) ])\n", + " else:\n", + " return signal" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def correlate(sequence, nbits=5, decimation=1, mask_filter=lambda x: x, mask_max=None):\n", + " codes = gold(nbits)\n", + " mask = np.tile(np.array(codes)[:,:,np.newaxis]*2 - 1, (1, 1, decimation)).reshape((codes.shape[0], codes.shape[1] * decimation))\n", + " mask = mask.astype(np.float64)\n", + "\n", + " # Our input signal has large DC bias. Remove DC bias to reduce numerical errors during correlation.\n", + " sequence -= np.mean(sequence)\n", + " \n", + " #return np.array([np.correlate(sequence, row, mode='valid') for row in mask[:mask_max]])\n", + " return np.array([sig.correlate(sequence, row, mode='valid') for row in mask[:mask_max]]) / len(sequence)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean: 50.00341 len: 1946174\n" + ] + } + ], + "source": [ + "with open('data/fmeas_export_ocxo_2day.bin', 'rb') as f:\n", + " meas_data = np.copy(np.frombuffer(f.read(), dtype='float32'))\n", + " print('mean:', np.mean(meas_data), 'len:', len(meas_data))\n", + " meas_data -= np.mean(meas_data)\n", + " meas_data = np.hstack([meas_data, meas_data[::-1]] * 50)\n", + " def mains_noise_meas(n):\n", + " last_valid = len(meas_data) - n\n", + " start = random.randint(0, last_valid)\n", + " return meas_data[start:start+n]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def load_noise_meas_params(capture_file):\n", + " with open(capture_file, 'rb') as f:\n", + " meas_data = np.copy(np.frombuffer(f.read(), dtype='float32'))\n", + " print('mean:', np.mean(meas_data), 'len:', len(meas_data))\n", + " meas_data -= np.mean(meas_data)\n", + " return {'meas_data': meas_data}\n", + "\n", + "def mains_noise_measured(n, meas_data):\n", + " last_valid = len(meas_data) - n\n", + " start = np.random.randint(last_valid)\n", + " return meas_data[start:start+n]\n", + "\n", + "def load_noise_synth_params(specfile):\n", + " with open(specfile) as f:\n", + " d = json.load(f)\n", + " return {'spl_x': np.linspace(*d['x_spec']),\n", + " 'spl_N': d['x_spec'][2],\n", + " 'psd_spl': (d['t'], d['c'], d['k']) }\n", + " \n", + "def mains_noise_synthetic(n, psd_spl, spl_N, spl_x):\n", + " noise = np.random.normal(size=spl_N) * 2\n", + " spec = scipy.fftpack.fft(noise) **2\n", + " spec *= np.exp(scipy.interpolate.splev(spl_x, psd_spl))\n", + "\n", + " spec **= 1/2\n", + " \n", + " renoise = scipy.fftpack.ifft(spec)\n", + " return np.hstack([renoise[10000:], renoise[10000:][::-1]])[:n]\n", + "\n", + "noise_params = load_noise_synth_params('data/grid_freq_psd_spl_108pt.json')\n", + "mains_noise = lambda n: mains_noise_synthetic(n, **noise_params)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def generate_test_signal(duration, nbits=6, signal_amplitude=2.0e-3, decimation=10, seed=0, data=None):\n", + " test_data = np.random.RandomState(seed=seed).randint(0, 2 * (2**nbits), duration) if data is None else data\n", + " \n", + " signal = np.repeat(modulate(test_data, nbits, pad=True) * 2.0 - 1, decimation) * signal_amplitude\n", + " noise = mains_noise_meas(len(signal))\n", + " \n", + " return test_data, signal.astype(np.longdouble) + noise.astype(np.longdouble)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.50806058, 0.49242794])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gold(12)[:2].mean(axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "amplitude @P_mod=10000.0kW: Δf=400.0µHz\n", + "mod: padding by 1023\n", + "[0 1 2 3] (49104,)\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "70c8a0e9c03441fab580b5b6b219e065", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "signal strength (off/on peak): +4.900e-05 | -6.406e-04\n", + "signal strength (off/on peak): +7.699e-05 | +5.627e-04\n", + "signal strength (off/on peak): +8.441e-05 | +4.206e-05\n", + "signal strength (off/on peak): +8.178e-05 | -8.413e-05\n" + ] + } + ], + "source": [ + "nbits = 10\n", + "decimation = 8\n", + "# working params: decimation=15 nbits=21 power=200kW\n", + "# working params: decimation=8 nbits=10 power=10MW\n", + "grid_frequency_characteristic = 25e9 # watt per hertz\n", + "modulation_power = 10000e3 # watt\n", + "data = np.array([0, 1, 2, 3])\n", + "amplitude = modulation_power / grid_frequency_characteristic\n", + "print(f'amplitude @P_mod={modulation_power/1e3}kW: Δf={amplitude*1e6}µHz')\n", + "\n", + "# Generate test data for this simulation run\n", + "test_data, signal = generate_test_signal(duration=2, nbits=nbits, signal_amplitude=amplitude, decimation=decimation, seed=0, data=data)\n", + "print(test_data, signal.shape)\n", + "\n", + "def correlate_test(sequence, nbits, decimation, mask_max):\n", + " codes = gold(nbits)\n", + " mask = np.tile(np.array(codes)[:,:,np.newaxis]*2 - 1, (1, 1, decimation)).reshape((codes.shape[0], codes.shape[1] * decimation))\n", + " mask = mask.astype(np.float64)\n", + "\n", + " # Our input signal has large DC bias. Remove DC bias to reduce numerical errors during correlation.\n", + " sequence -= np.mean(sequence)\n", + " \n", + " #return np.array([np.correlate(sequence, row, mode='valid') for row in mask[:mask_max]])\n", + " return np.array([accupy.fsum(np.multiply(sequence, row)) for row in mask[:mask_max]]) / len(sequence)\n", + "\n", + "signal = signal.astype(np.float64)\n", + "fig, axs = plt.subplots(len(data), figsize=(12, 5))\n", + "for i, ax in enumerate(axs.flatten()):\n", + " gen_per = len(data) + 2 # one period for each symbol, plus one period of padding at the beginning and end\n", + " symbol_length = signal.shape[0]//gen_per\n", + " l, r = int(max(0, (i + 1) * symbol_length - 1000)), int((i + 2) * symbol_length + 1000)\n", + " signal_slice = signal[l:r]\n", + " cor_an = correlate(signal_slice, nbits=nbits, decimation=decimation, mask_max=2)\n", + " \n", + " l, r = int((i + 1) * symbol_length), int((i + 2) * symbol_length)\n", + " signal_slice = signal[l:r]\n", + " #print('on peak [numpy]:', correlate(signal_slice, nbits=nbits, decimation=decimation, mask_max=2).flatten() / amplitude)\n", + " #print('on peak [accupy]:', correlate_test(signal_slice, nbits=nbits, decimation=decimation, mask_max=2).flatten() / amplitude)\n", + " \n", + " l, r = int((i + 1 - 0.2) * symbol_length), int((i + 2 - 0.2) * symbol_length)\n", + " signal_slice = signal[l:r]\n", + " #print('off peak [numpy]:', correlate(signal_slice, nbits=nbits, decimation=decimation, mask_max=2).flatten() / amplitude)\n", + " #print('off peak [accupy]:', correlate_test(signal_slice, nbits=nbits, decimation=decimation, mask_max=2).flatten() / amplitude)\n", + " #ax.plot(cor_an.T)\n", + "\n", + " cwt_res = np.array([ sig.cwt(row, sig.ricker, [0.73 * decimation]).flatten() for row in cor_an ])\n", + " print(f'signal strength (off/on peak): {np.sqrt(np.mean(cwt_res[0,cwt_res.shape[1]//6:cwt_res.shape[1]//3]**2)):+.3e} | {cwt_res[0,cwt_res.shape[1]//2]:+.3e}')\n", + " ax.plot(cwt_res.T / amplitude)" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "amplitude @P_mod=10.0kW: Δf=0.39999999999999997µHz\n", + "mod: padding by 31\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + ":7: ComplexWarning: Casting complex values to real discards the imaginary part\n", + " return test_data, signal.astype(np.longdouble) + noise.astype(np.longdouble)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: padding by 31\n", + "mod: 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xs:\n", + " data = np.array([1])\n", + "\n", + " def correlate_test(sequence, nbits, decimation, mask_max):\n", + " codes = gold(nbits)\n", + " mask = np.tile(np.array(codes)[:,:,np.newaxis]*2 - 1, (1, 1, decimation)).reshape((codes.shape[0], codes.shape[1] * decimation))\n", + " mask = mask.astype(np.float64)\n", + "\n", + " # Our input signal has large DC bias. Remove DC bias to reduce numerical errors during correlation.\n", + " sequence -= np.mean(sequence)\n", + "\n", + " return np.array([sig.correlate(sequence, row, mode='valid') for row in mask[:mask_max]])\n", + " #return np.array([accupy.fsum(np.multiply(sequence, row)) for row in mask[:mask_max]]) / len(sequence)\n", + "\n", + " vals = []\n", + " for i in range(20):\n", + " test_data, signal = generate_test_signal(duration=2, nbits=nbits, signal_amplitude=amplitude, decimation=decimation, seed=random.randint(0, 0xffffffff), data=data)\n", + " cor_an = correlate(signal, nbits=nbits, decimation=decimation, mask_max=2)\n", + " vals.append(np.sqrt(np.mean(cor_an**2)))\n", + " ps_off.append((np.mean(vals), np.std(vals)))\n", + " print(vals)\n", + "\n", + "ps_off = np.array(ps_off)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3dade90110af4097b123f3de508e843f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "ax.errorbar(x=xs, y=ps_off[:,0], yerr=ps_off[:,1])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ma-thesis-env", + "language": "python", + "name": "ma-thesis-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/lab-windows/cryptography_experiments.ipynb 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a/lab-windows/dsss_experiments-ber.ipynb b/notebooks/dsss_experiments-ber.ipynb similarity index 91% rename from lab-windows/dsss_experiments-ber.ipynb rename to notebooks/dsss_experiments-ber.ipynb index eb1639e..718d05c 100644 --- a/lab-windows/dsss_experiments-ber.ipynb +++ b/notebooks/dsss_experiments-ber.ipynb @@ -166,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -199,7 +199,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -222,7 +222,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -243,7 +243,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -280,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -294,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -306,8 +306,8 @@ }, { "data": { - "application/pdf": 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mR8t1Fn36KkGY901IKVFAl0HmCKxQdelLaWWM1OZ8YdSac/dPGHW6FPqwihDQDqse1SYdVAyY9VJAk9KjgC4DoV7pWMMIus4qXErLPwjiCY5ZXxj1ttz9E2rvToWGWvr4WfVQqxhqzDrMKvRkk8vAtFcxpbTLTd6AZoxdzxj7BGPsO4yxmnI0qtKkL5HXNIJOhpoSbkbN+cJIcKDeZsj5feHKQQl9yUU4fkJ5o9asr5gR9JERF27++gF8/5URqZtCcsgb0Jzz33HOHwQwDMBe8hZVIGcxI+jUzzoVUOKYSYVVwwonoHS5xiv/vuTi9IVRZdSmpxDWWXWYq5AR9EWnHwBwbHRB4paQXAoqcTDG7gUwxDkfzPr6A4yxPsZYn9PpLEkDK0FmDbNQwowIJYzUpj0hAPlH0E4Fj6Azj12tWa+I0lMhoqknIlmenyPSKKTEcTeA+wA4GGPtmd/jnD/EOe/lnPc6HI5StVHxnN4wrHoNDNrCHvMGAK1ahWqTVhGzBaY9qRH0CjVog1YNq16j2Bq00xtecvVTa9Ep5uZtPjMeZR6Ty4Um3w9wzn8E4EdlaEvFWuscaEGdRa+IssCMNwTGsOo0wjqrXrEj6FlfGDtbF6t7dRY9fOEYQtH4mk66ciRc/bgUPE+9ktEsjjKYdAfRZM99+b+aOoteETfWpj1h1Jp10KpXfjs5LMq9sZZ8CnTx5KOkG7j5TKUCmkbS8kQBXQaT7hAabcY1/7vkpbT8PzhObwj11tVPQHVWZfQlmzcUhT8SXzKFUJjvXQlPE065UwGt0JNnpaOALrFYPIEZbxjNRY6glRAC056V50ALHBa9ImvQQoA1VS0ev/RNTwX2J5tQ4pjzh2kJVRmigC6xWV8E8QRHY9XaA9ph1cObqnXK2bQnhIZ8I2iLHp5QTHGPe0+kArrZvngFJBxLoTygVKFoHPOBKJqqDOAcFTN1sJJQQJfYhDsIYOkIrFDCzAE5j9TyPUUoWHxYRVkhMLmw/PjVWZJPFAqja6USRs87WqoAUB1ajiigS2zxEnntNWgljNSmPCEk+NIRZi5CQM/IuC+5TLiTM1QaMuZ4q1UM9VY9JhUe0MJ7c2drKqC9yu5PJaKALrGJHCOwQgn/Rs5BIPQvX0CnTzYy7ksuU+4gHBb9shkqjVWG9AhUqYQT//bUCFrOV2qXKwroEptyh2DQqtK7W6/FYqgFxW6WaMbnk21ryRPQzakriAmFBfSkO4SmHH1rtBkwKePjUojsEsc0lThkhwK6xCY9ITRXGcHY2h+mtRq0sOg1sh5Bjy8UFtB2kxYGrSpd01WKiYUgmnNc/SRH0MoOtEl3CGadGjVmHeosOsWfcCoRBXSJTSwU95CKoLHKIOuywKX5IGrNury7lTPG0FxllPXJJhvnPDmHPVdA2wzwhWPwhpS7ldel+SBaq01gjKHFbkyfbCvBQiCi6GMjoIAusTFXAG01pqL/fVOVQdahNr4QzFt/FjTZDelZLUrgCcUQiMTT5ZlMQmgruQ495gqgtTrZt+YKC+jdX9iPN375N1I3Y90ooEvIH45h1hfBhnUEdKNN3iPo8flA3vKGoKnKiMkF+fYlm1Bfz3UCarTJ/wbuajjnGJ8Ppt+bLXYjJhaCFbVwvyekjO3iVkMBXUJj8wEAWPcIesYbkuVTXpxzTCyE0FJdWEA3y7gvuYy6kmslt9cuP37CtEmlBrQ7GIU3HEuPoFuqjQhFE4rdlixT5j6eSj/hUECX0Ojc+gO6scqIBJfnWsrzgSiC0XjhI2h7si/TCpnONSIcvxwB3VClB2OL0wyVZsyVbHdrdbJvwlXChIKucFYifO4AeX5u1oICuoRGXeKMoAF5fnBG5pIjzNYCR9Dped0KCbURVwB2kxY2w/IpknqNGk02Q/oYK41wdbehJjWCTgV0JdShhfclkLwRqmQU0CU05grAatAUNQdaIITfpXn5BcFw6oPQ5TAX9PPNCguBMVcA7aucXFtrTBhTaEAL7ydhBF1RAZ1xTJR6fAQU0CU0mprBUcwcaIFwE2dkTn5vtKHZAFQMBd8EFU42SvnQjMwF0Fa78smnrcak3BG0KwhbxuDBbtLCpFMrtmSTaWTOD2NqIwUaQZMVjbgC2FBdfHkDSG4X1WgzyDKgh2f9aLYb05up5mPSadBg08uyL9mi8QTGF4Joq1m5fNNWY8K0Jyz71QZzGXEFltTWhbnQSjl5rmZkLoAtTVbUmnWyvPJcCwroEonGExidCxR8+b+aNpleSg/P+dFZt7b+tdeYFRHQkwshxBMc7TWrj6ABZY7SBp0+dNVZlnyto86cLlsp2chcAO21ZrTWmBR5bDJRQJfIyFwAsQRHt8OS/4fzaKs1YcQlrw8O5xxDs0UEdK1JESEgtDHXDA6BcINNjifP1YSicYwvBJe9NzvrzBieCyCRUO7UtHAsjgl3EO21JrRWK/+KgAK6RC7M+AAAG+vXH9DtMryUnvNH4A3F0LFKjTaX9loTZrxhBCLyfoigkOMn1N6VVocemvWD8+U3dzvrzIjEEop62jPbmCsIzpPvs85aMy7NBxFVyLz7XCigS+SiM/kB7xYhoIVRnJyCYHg2OcJc+wg6+fNy6ksuAzM+VJu0qDXrVvwZh0UPo1atiJJNJuG9mR3Qwsl2eFZZ/ckknFi7HRZ015sRS3DFHZ9MFNAlcmHGh6YqAyx6zbpfS6h1jsrojdY/XdwVghACcv/QXJjxoqfeuuoMHMYYOurMGJz1lbFl6zfoTE2PzKpBC4E9pLD+ZBqY9gJIBXSqhCOckJSIArpELsz4RClvAIuhNjQrn9pt/7QXZp264KcIBcLVwLCM+pKNc46BGV9BVz899Zb0qE0pLjp9aLEbl61AWG/Vw6RTY1DGxyaf/hkfWquNMOs16KKAJrkkEhwXnT5RbhACQHVqvd6BGa8oryeGc1MebGq0QqVa2xzvKqMWdRa9rD80c/4IFgJR9BQY0Jfmg7KvqWe66PTlnF3EGENHrVnWJ898Bqa92NRgBQBY9Bo02gy4OKPc/lBAl8CoK4BAJI7NjVbRXrOn3pouK0iNc47zU15c0VBc/zY1WHBeJn3JZSDVtp6G/AEtXCUpJQRi8QT6p30rvje7HGZckPHJczWxeAKDTv+S49blMMt6MJAPBXQJnJ7wAFjc600MPQ3JS2k5rM7l9IUxH4jiiiJPQJsarBiY9sp2Old/qo7ZU5+/f0IYXHDK5+pmNYOzfkRiCWxttuX8/uZGK8ZcwSUrwinFiCuASDyx5Lh1Oyy46JTH56YYeQOaMbaJMfYIY+zOcjSoEpyecEOjYgWNwArV02CFLxyTxfKW56eSYVRsQF/RaEUgEpftug+nxt2os+jQYNPn/dn2WjM0KpYedcvdmdTgYUvTSgGd/LpwjJWkP9XmTRmfu431FnhDMcVuT5Y3oDnn/QAeyfU9xtgDjLE+xlif0+kUu22KdWrCg54Ga8GPQBdiU+pSWhjdSUn4kAsf5rUSaoRy6EsuJ8fd2NZcVdAaKlq1Ch11Zgwo5EbhmUkPdGrVivdHNjclj825KU85myWKk+NuaNVsycBBuFI4PeGWqlnrsq4SB+f8Ic55L+e81+FwiNUmReOc48yEG9tXuIQsVk8q1OQwUjt+aQEbaoyoWWWO8GqEEc55GQZ0KBrHwIwvvdN1ITY3WtMnLbk7O+lBT4MFWnXuj36L3QirXoNzk/I7NvmcHHdjU9bAaEuTDYwtlh2VppASRyOAuwC8kzHWXvomKduMN4xZXwTbRA7oGrMODqseZyelf6MdH3NjV6u96H9vNWjRYjfKMgTOTXkRT3Bsbyn8+O1oqcL4QlD2u5FwznF6wrNieQNIzuTY3GRV3Aiac44Tl9zY2br0xGrRa9BRa67cETTnfIpz/hHO+f2c85FyNErJjo7MAwB2bSg+wFays6UKJ8alfaM5vWGMLwSxe53929ZswymJ+5KL0KZtzYWPoIXR9kkZ9ifTqCsAlz+S99htbrTh3KR8b+Lmcmk+CHcwih0ty/u2tdlWuSNosjavDc/DoFWt6QNeqJ2tdlx0+iS9w37i0gKA9Z+Adm2wY3DWD3cgKkazRHNsdAG1Zl3Bu8QAwLZUQMvxhJPp6Ghy8HBle/WqP7ejtQrecExRT0ieuJT822ePoIHkYODSfFB277VCUECLrG/EhV2tdug04v9pd26oAufSBsGx0QWoVWzdJRxhFHc8Ffhy8dqwC70d1WvaZKHKqEVHrQknL8k7oI+MzMOi16Rv0q5kb1vy2BwdkdexWc2RkXnoNaqcfROucE6MK6c/AgpoEQUiMZye8OCqjpqSvP5O4Y0mYai9MjiH7S1VMOnWt8bIjtRI5/iYfD40054QRl2Boo7f9pYqSY9LIY6OLGD3BjvUeZ7+7KqzwGbQ4NjYfJlatn6Hh+ewt60658Bo9wY7VCx5das0FNAiOja6gHiC48qO1S8hi1Vr0aPFbsTxMWlGaoFIDMcvLeANXbXrfi2bQYtuh1lWI+jDQy4AKCqgr2yvxoQ7JNsdPLyhKM5NedKj49WoVAx72qoVM4L2hKI4M+HB1V25j5vVoMWWJhv6hl1lbtn6UUCL6OCFWWhUDL15anzr0dtRjVeHXJI8GdU3PI9onOMN3esPaADY01aNvpF52dyMem3YBZNOXVT55urO5N/k1UF5hsArgy4kOHBNgcduT5sd/TNeeELyr9v2DSf7tq9z5RPrVR01ODa6oLi1oSmgRfTieSeubK+G1VD8Lt75vKGrFrO+sCTrCxwanBP1BHRtdy0WAlGclcmUrgP9TuzrrIFmhTnCq9ncaEWVUYtXh+ZK0LL1OzjghFGrznuDULCvowacA4dlesLJ9MqgC1o1w54NK/ftqo4aBKNxxcxXF1BAi2TGE8KZSQ9uuKK0D+xckyovHLpY/iA40O/E7g12mEVY4xoAru2uAwC8fEH6UBua9WN4LoAbr6gv6t+rVAxXddTg1SF5BtrvBmZxdVdNwU+3XtlRDYNWhYMXZkvcsvV74fwM9nXWLFs+NdNVncnwfumi/PuTiQJaJAcGkgf+hk2lDej2WhOaqgw4NFjeUBtfCOL0hAdv3dog2ms2VhnQ5TDjZRl8aF44PwMARQc0AFzTVYORuYDs9sG7NB/A4Kwf1/cU/t7Ua9S4pqsWBwbkvYTDmCuA/mlf3uNWbzVga5MNL5yXd3+yUUCL5JlTk2i0GbClyPUpCsUYw7XddXj54hxiZaynPX92GgBws4gBDSTLHK8OuRCOSbvf4m/PO9FVZ151k9h83rI5GRK/OTcjVrNE8evTyWMntK9Q1/c4MOj0y3ZRK2Dxb33Tlvzvyxs3O3BkZB7uoPzr6gIKaBG4g1G82O/E7Tub1ryAfTHeuqUeC4FoWacN7T8zjS6HWbRNCAQ3bWlAIBLHSxJeSs/7I3j5wixu3ra+k0+Xw4IuhxnPpU5mcvH0yUlsabKtef/IGzYlS1C/kVl/Mj13dhqddeaC+nbjFfWIJzgODkh/xVYoCmgRPHt6CtE4xzt2NpXl991whQN6jQq/Pj1Vlt837QnhpQuzuHV7o+ivfW13Lax6DZ45VZ6+5PKrU5OIJTju2NW87te6eUsDXhmcg1cmsx+m3CH0jczjtiKOXbfDgo31Fjx1crIELVu/GW/yfXn7jsI+d7s32GE3acv2uREDBbQIfnZsHK3VxnWvT1Eok06D63vqsP/MdFmm2z1xbBwJDrx7b6vor63XqPGWLfXYf2a6rCWbTE++PoFuhxlbV1lEqFA3b21ANM7x7Gl5jDp/cXwCAHBrgSGWiTGG23c04dUhF2a80q9Dnu0XxyeR4MCdewo7sWrUKty+ownPnplSzIYEFNDrdNHpw8sX53DPvrY1PR68Xrdub8L4QjD9cEWpcM7x06OXsKfNLnp5Q3Dr9ibMB6L4nQSXnkOzfrw65MKdu1tEOX5726rRVmPCT49eEqF168M5x6OHR9HbXl30Bsa372wC58CvTshrFM05x+NHL2FHSxU2FrDzjeDOPS0IRRN4ViGjaArodfrBK6PQqhnu7t1Q1t97645GWPQaPNY3VtLfc2hwDv3TPryvhP17y+Z61Jp1ePTwaMl+x0q+f2gEWjXD+/aJ02hOA8AAAA5ASURBVD+ViuE9e1txaHBO8qcKXx1yYXDWj3v2tRX9GpsarNjeYsP/Pzwqq22jjo7O4/SEB3dftbbjdmVbNVqrjbI4gRaCAnodFgIR/KhvDLdsb4LDmn97JDGZdBrcsbsZvzo5WdKnvf7zwCDqLDrcuaelZL9Dp1Hhrt5WPH9uBjOe8l1K+8Ix/PjIGG7b0YR6q0G013333uTfSooTTqaHDw6hyqjFbUWUNzJ94Jp29E/7Sn61thbfPTgMm0GD9+xd2/tSpWK4Z18bXrowp4htvSig1+Hhg0PwhWP48I3dkvz+e/e1IRRN4AevlCYIzk568NvzTnzgmg4YtOJt35XLPVe1IcE5Hnl5uKS/J9MjLw3BG4rhj97YKerrbqgx4W1bG/D9QyOS1TrPTnqw/8w0/uiNnas+wFGIO3a1wGbQ4L9eGhances0NOvHM6encM++tqIW7bp3XxsMWhX+66WhErROXBTQRXJ6w/ivl4Zx247GovfmW6/tLVW4vqcODx8cRCgq/jziLz19DlVGLT54bek30umoM+O2HU343qERLARKvzOJOxjFQwcG8dYt9SXZXOFDN3TDE4rh0VelGUX/y3P9sOg1+MNrO9b9WkadGh+8tgPPnJ6Sxc4kX3n2PPQaFf74+q6i/n21WYf37G3F40fHJS9D5UMBXaQv/eoswrE4/uptV0jajo/cuBGzvgi+d2hY1Nd94fwMDvQ78ZEbN8JuKm7vwbX687dshC8cw7cPDJb8d33t2fPwhmP42M2bSvL6e9uq8caNtfiPFy6UfaH4gwOz+PXpaXzoTV2oMomzLswfX98Fm0GDrz3bL8rrFevo6DyeOjGJ+6/rXFdZ8cM3bgRjwFcl7k8+FNBFONDvxOPHxvGhN3WXbGZDoa7uqsVbNtfjG88NYFqk+q03FMXfPX4SXQ4z7ivD6FmwudGGd+9pwXd+N4gLJdwl+9joPL73ygjuu6a9JDvfCD5121a4g1F8/bnyhUAwEsdnnzyFthoT/uRNxY0wc6kyavGnb96I58/NYP8ZaaYQhmNxfOInJ9BUZcAD6+xbs92IP7quEz87Ni7rZUgpoNdo2hPCxx57HT31Fnz4xo1SNwcA8Pfv3IpoguNTPzu17jvtnHN85olTmPKE8NX37ip4cR2xfPK2LTBq1fjk4ydKMi/aHYjiL3/4OhptBvz120t79bO12Yb3X92O/3douGyLW33hl2cwNOvHF9+1Q/T7Bvdf14nNjVZ85olTkmwf9ZVfn8fAjA9ffPcOUVaM/PCNG9FabcRf//g4AhF5zoumgF4DXziGP/leH/yRGP7j/XvXffNFLO21Zvzt26/Ac2en8d113sj51ouDeOL1CXz85k3Y01a6da1X4rDq8fnf24bXhufxFZEvP6PxBP7ysWOYWAji3+7dU9JlYQX/+9bN6Kg142OPvV7yhz3++5URPHp4FA+8qQvX9dSJ/vo6jQr/dNdOzPnD+IsfHkO8jOt4/+zYJfzn74Zw3xva17WgVSaLXoN/vmsXhucC+MRPT8pmXfJMFNAF8oSiuP+R13B6woN/u2cvevLs61Zu91/XiZu3NuAfnzqDZ04V91DBdw8O4cFnzuGOXc2SXh28a08r7tnXhm+9eBHff0WcjeSj8QQ++tjreOG8E1/4ve24sr0025JlM+s1+Nd79sATiuKD332tZFMif/76OD7781O4aXM9/qaE90V2ttrx+Tu248V+Jz79xKmyhNrTJyfxNz8+gas7a/CZd2wV9bXf0F2Lv73lCvzi+AQefOacrOZ6AxTQBRma9eOub76MIyPz+Nrdu0RdclMsjDF84/d3Y09bNf780WN4fA0T8SOxBL7wizP4wi/P4NbtjfjKe3eV9anIXD5/xzbctLken3niFB46cHFdHxyXP4IPPPwqnjoxib+7bTPuvbr4BzeKsb2lCt/8gysxMO3F3d86hEm3eKvDJRIc//7bC/jLH76Oqzpq8G/37i1qw4G1uPfqNvzZm7vx6OFR/PVPjpdkBhGQLLc9fHAIH3n0GHZtsOM7H+yFtgR9+9MbuvH+q9vw7QOD+OzPT8tq1xUm1hmjt7eX9/X1ifJachGOxfH9QyOpaT1qfPP9e3HtRvEvHcXkDkbxp/99BC9fnMMfXNOGT9yyedVL+WOj8/jsz0/j5Lgbf3htBz59+5aSf8ALFYrG8bHHXsfTp6Zw+44mfO6ObWu6c885x1MnJ/G5J8/AE4riwffswLv2iL+eSKEO9DvxZz84Cr1GhX9813bcsn19D5AMOn341M9O4dDgHN65qxlfee/Ost0z4Jzj/z5/AV9/rh/bW2z4p/fswtZ17vSeacwVwOeePI3nz83gbVsb8LX37YZFpI0icuGc48tPn8O3DwxiT5sdX33vLnSVaQIAY+wI57w35/cu94COJzhc/gic3jCcvnDyf71hzHhDePb0NMYXgnjL5np86d070GAT72mzUorGE3jw6XN4+KUh1Fv1+F83dOP3r2pL18w55zg85MLDB4fw7Jlp1Fv1+Pwd24paUKfUOOf45osX8S/7B2DQqnD/dV247w3tqDavPPUvEkvg+bPT+OaLF3HikhvbW2x48D07Szpjo1AD01587Eev49S4B9d21+IvburB1Z01a7piOT3hxvdeHsFPjl6CQaPCZ9+5FXf3bpDkqmf/mWn87U+Owx2M4u7eDfjj67uKXvcDSJ50vvvSEH7cdwlqFcPHb96E+6/rLFvffnliAp98/CSCkTju2deG+6/rRMcal2ldKwpoJEfDF2f8GJjx4uKMDwMzPlyY8WF4zo9ofPnfwKxTY2uzDX9xUw+u21gn+SV/MY6NzuNLvzqHw8MuWPQavG1rA2xGLfafSZ54qk1afOCadjxwQ3dJRydiuOj04Uu/Oovnzs5Ap1HhzZscePu2RuzrrEFrtRFTnhBeHXTh5YvJOcDuYBRtNSb82Zu7cdeVrbK5KgCSJ9DvHxrBf7xwEbO+MDpqTXjHzma8cWMd9rbbl42C/eEYTo67cXBgFr85N4Mzkx7oNCrcu68NH75xY9mXGci2EIjg6/v78ehrY4jEEuhtr8bbtzXi2o21uKLBuurfPhSN48QlN14bduGZU1M4Oe6GTq3Cu/a04KM396CpyljGniQ5vWF84/l+/PDwGGIJjmu6avDWLQ24vseBjfUWqEVe813WAX1hxocLM140VhnRVGVAnUVf9B8gnuCY9YUxvhDExEIQQ04/zk17cX7Ki6FZf/qus4oBbTUmbKy3orvejBa7EQ6LHg6rHnWp/xVr3z05eG3YhR/3jeHpU1MIxxJ4U08dbtnehNt3NMlmJkqhzk958ejhUTx9ahLTnjAAwKRTIxBJ1kGteg1u2lKP39vdgut76mQVzNmCkTieOjmJnxwZw+Gh5M7UGhVDl8OMnnorovEE+qe9GHEFwDmgVjHs3mDHO3c24c49LWV7gKhQs74wHnttDE+dmMSZyeTmrEatGpubrGivMaGt1gybQYNJdwgjcwGMzPkxNOtHLPW53L3Bjlu3N+Jde1tEXRulWNOeEB57bQy/OD6BgdS8fKNWjS1NVnTWWdBiN6DZbkSDzYAtTTY0VhXX5nUFNGNsL4B3AzAB+Azn3J/r54oN6H//7QX886/Pp/9bxZILARm0ahi0KmjVKqwW19FEAsFIHP5wHMEcNyvaakzY1GDF5kYrNjVasanBgo5ac8nXlpCjaDyBBOdln9tcCokEx9kpD46MzOPCjA8dtWbs66zBliab6COccvCEonh10IWjo/MYmPaif9oHrZrhikYrNjfasLXJhqs6a1BlLP3UQDFcmg/gyMg8jo0u4NyUB2OuICbcQXAOGLQqtNcktxfrqbdgb1s1drfZUWeR9kpgNeMLQbx8YRanJzw4M+nBmCuAaU8IwiSWf7hzO/7gmuIe6lpvQP8zgE8CuBZADef8iYzvPQDgAQBoa2u7cmRk7VOiPKEoxlwBTLlDmHSHMOMJwR9Jhm0wEk+fXVeiUTGYdGqY9RoYtWrUWfXpM9uGalNFjYQJUbJwLI5QNAGbQaPIkmG2aDyBaU8ITm8YLXYj6ou8R7VaQBeaXjlTknP+EICHgOQIupjG2QxabGuuksUNHEJI6eg16oq4ehNo1Sq0VpvQWl38RsP5FBLQPwTwOSRLHH9fspYQQghZIm9Ac86PADhShrYQQgjJIN9b3IQQcpmjgCaEEJmigCaEEJmigCaEEJmigCaEEJmigCaEEJkSbS0OxpgTgDirq6+uDsBsGX5POVVin4DK7Fcl9gmozH4ppU/tnHNHrm+IFtDlwhjrW+mxSKWqxD4BldmvSuwTUJn9qoQ+UYmDEEJkigKaEEJkSokB/ZDUDSiBSuwTUJn9qsQ+AZXZL8X3SXE1aEIIuVwocQRNCCGXBQpoQgiRKcUENGNsL2PsHxhjX2OMlXab3TJijG1ijD3CGLtT6raIhTF2PWPsE4yx7zDGaqRuj1gYY9sYYx9njP0rY6xO6vaIhTF2O2PsSanbISbG2J2MsW8wxj7KFLx9i2ICGsA9SG4c8ASAm6Vting45/0AHpG6HWLinP+Oc/4ggGEAdombIxrO+WkA0wBaAUQlbo4oGGN7ABgADErdFpH5AXgBaKGsnFtCaQ2nO5oKwRi7F8AQ57yiPvic8x8A+A6ANqnbIpJbAWwAsCcV1hWBc76fc/5pABcB3CB1e4qlpB1VK3LrLcZYI4C7ABgZY8c45+V4XL6kGGN3A7gPwDOMsfZK6BMAMMZuAbATQDcq5D3IOf8iADDGOjjnx6Ruj1gYY28GcDWATgCfkrY1xaNpdoQQIlNKK3EQQshlgwKaEEJkigKaEEJkigKaEEJkigKaEEJkigKaEEJk6n8A0eGVe7INy6cAAAAASUVORK5CYII=\n", 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v8uCounh9DOtLsMLopXssfK5CH8z0TDt3SSO98KYTEWYPBVKZnZGVOj1ifbdA/59lK/j7yc/z/QsVKFwqCmVuZHN0cmVhbQplbmRvYmoKMTcgMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA5MCA+PgpzdHJlYW0KeJxNjUESwCAIA++8Ik9QRND/dHrS/1+r1A69wE4CiRZFgvQ1aksw7rgyFWtQKZiUl8BVMFwL2u6iyv4ySUydhtN7twODsvFxg9JJ+/ZxegCr/XoG3Q/SHCJYCmVuZHN0cmVhbQplbmRvYmoKMTggMCBvYmoKPDwgL0ZpbHRlciAvRmxhdGVEZWNvZGUgL0xlbmd0aCA4MCA+PgpzdHJlYW0KeJxFjLsNwDAIRHumYAR+JmafKJWzfxsgStxwT7p7uDoSMlPeYYaHBJ4MLIZT8QaZo2A1uEZSjZ3so7BuX3WB5npTq/X3BypPdnZxPc3LGfQKZW5kc3RyZWFtCmVuZG9iagoxOSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDMxNyA+PgpzdHJlYW0KeJw1UktyQzEI279TcIHOmL99nnSyau6/rYQnK7AtQEIuL1nSS37UJdulw+RXH/clsUI+j+2azFLF9xazFM8tr0fPEbctCgRREz34MicVItTP1Og6eGGXPgOvEE4pFngHkwAGr+FfeJROg8A7GzLeEZORGhAkwZpLi01IlD1J/Cvl9aSVNHR+Jitz+XtyqRRqo8kIFSBYudgHpCspHiQTPYlIsnK9N1aI3pBXksdnJSYZEN0msU20wOPclbSEmZhCBeZYgNV0s7r6HExY47CE8SphFtWDTZ41qYRmtI5jZMN498JMiYWGwxJQm32VCaqXj9PcCSOmR0127cKyWzbvIUSj+TMslMHHKCQBh05jJArSsIARgTm9sIq95gs5FsCIZZ2aLAxtaCW7eo6FwNCcs6Vhxtee1/P+B0Vbe6MKZW5kc3RyZWFtCmVuZG9iagoyMCAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDMzOCA+PgpzdHJlYW0KeJw1Ujmu3UAM630KXSCAds2c5wWpfu7fhpRfCkO0VoqajhaVafllIVUtky6/7UltiRvy98kKiROSVyXapQyRUPk8hVS/Z8u8vtacESBLlQqTk5LHJQv+DJfeLhznY2s/jyN3PXpgVYyEEgHLFBOja1k6u8Oajfw8pgE/4hFyrli3HGMVSA26cdoV70PzecgaIGaYlooKXVaJFn5B8aBHrX33WFRYINHtHElwjI1QkYB2gdpIDDmzFruoL/pZlJgJdO2LIu6iwBJJzJxiXTr6Dz50LKi/NuPLr45K+kgra0zad6NJacwik66XRW83b309uEDzLsp/Xs0gQVPWKGl80KqdYyiaGWWFdxyaDDTHHIfMEzyHMxKU9H0ofl9LJrookT8ODaF/Xx6jjJwGbwFz0Z+2igMX8dlhrxxghdLFmuR9QCoTemD6/9f4ef78Axy2gFQKZW5kc3RyZWFtCmVuZG9iagoyMSAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDI0OCA+PgpzdHJlYW0KeJwtUTmSA0EIy+cVekJz0++xy5H3/+kKygGDhkMgOi1xUMZPEJYr3vLIVbTh75kYwXfBod/KdRsWORAVSNIYVE2oXbwevQd2HGYC86Q1LIMZ6wM/Ywo3enF4TMbZ7XUZNQR712tPZlAyKxdxycQFU3XYyJnDT6aMC+1czw3IuRHWZRikm5XGjIQjTSFSSKHqJqkzQZAEo6tRo40cxX7pyyOdYVUjagz7XEvb13MTzho0OxarPDmlR1ecy8nFCysH/bzNwEVUGqs8EBJwv9tD/Zzs5Dfe0rmzxfT4XnOyvDAVWPHmtRuQTbX4Ny/i+D3j6/n8A6ilWxYKZW5kc3RyZWFtCmVuZG9iagoyMiAwIG9iago8PCAvRmlsdGVyIC9GbGF0ZURlY29kZSAvTGVuZ3RoIDIxMCA+PgpzdHJlYW0KeJw1UMsNQzEIu2cKFqgUAoFknla9df9rbdA7YRH/QljIlAh5qcnOKelLPjpMD7Yuv7EiC611JezKmiCeK++hmbKx0djiYHAaJl6AFjdg6GmNGjV04YKmLpVCgcUl8Jl8dXvovk8ZeGoZcnYEEUPJYAlquhZNWLQ8n5BOAeL/fsPuLeShkvPKnhv5G5zt8DuzbuEnanYi0XIVMtSzNMcYCBNFHjx5RaZw4rPWd9U0EtRmC06WAa5OP4wOAGAiXlmA7K5EOUvSjqWfb7zH9w9AAFO0CmVuZHN0cmVhbQplbmRvYmoKMTQgMCBvYmoKPDwgL0Jhc2VGb250IC9EZWphVnVTYW5zIC9DaGFyUHJvY3MgMTUgMCBSCi9FbmNvZGluZyA8PCAvRGlmZmVyZW5jZXMgWyA0OCAvemVybyAvb25lIC90d28gL3RocmVlIC9mb3VyIC9maXZlIC9zaXggXQovVHlwZSAvRW5jb2RpbmcgPj4KL0ZpcnN0Q2hhciAwIC9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnREZXNjcmlwdG9yIDEzIDAgUgovRm9udE1hdHJpeCBbIDAuMDAxIDAgMCAwLjAwMSAwIDAgXSAvTGFzdENoYXIgMjU1IC9OYW1lIC9EZWphVnVTYW5zCi9TdWJ0eXBlIC9UeXBlMyAvVHlwZSAvRm9udCAvV2lkdGhzIDEyIDAgUiA+PgplbmRvYmoKMTMgMCBvYmoKPDwgL0FzY2VudCA5MjkgL0NhcEhlaWdodCAwIC9EZXNjZW50IC0yMzYgL0ZsYWdzIDMyCi9Gb250QkJveCBbIC0xMDIxIC00NjMgMTc5NCAxMjMzIF0gL0ZvbnROYW1lIC9EZWphVnVTYW5zIC9JdGFsaWNBbmdsZSAwCi9NYXhXaWR0aCAxMzQyIC9TdGVtViAwIC9UeXBlIC9Gb250RGVzY3JpcHRvciAvWEhlaWdodCAwID4+CmVuZG9iagoxMiAwIG9iagpbIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwCjYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgNjAwIDYwMCA2MDAgMzE4IDQwMSA0NjAgODM4IDYzNgo5NTAgNzgwIDI3NSAzOTAgMzkwIDUwMCA4MzggMzE4IDM2MSAzMTggMzM3IDYzNiA2MzYgNjM2IDYzNiA2MzYgNjM2IDYzNiA2MzYKNjM2IDYzNiAzMzcgMzM3IDgzOCA4MzggODM4IDUzMSAxMDAwIDY4NCA2ODYgNjk4IDc3MCA2MzIgNTc1IDc3NSA3NTIgMjk1CjI5NSA2NTYgNTU3IDg2MyA3NDggNzg3IDYwMyA3ODcgNjk1IDYzNSA2MTEgNzMyIDY4NCA5ODkgNjg1IDYxMSA2ODUgMzkwIDMzNwozOTAgODM4IDUwMCA1MDAgNjEzIDYzNSA1NTAgNjM1IDYxNSAzNTIgNjM1IDYzNCAyNzggMjc4IDU3OSAyNzggOTc0IDYzNCA2MTIKNjM1IDYzNSA0MTEgNTIxIDM5MiA2MzQgNTkyIDgxOCA1OTIgNTkyIDUyNSA2MzYgMzM3IDYzNiA4MzggNjAwIDYzNiA2MDAgMzE4CjM1MiA1MTggMTAwMCA1MDAgNTAwIDUwMCAxMzQyIDYzNSA0MDAgMTA3MCA2MDAgNjg1IDYwMCA2MDAgMzE4IDMxOCA1MTggNTE4CjU5MCA1MDAgMTAwMCA1MDAgMTAwMCA1MjEgNDAwIDEwMjMgNjAwIDUyNSA2MTEgMzE4IDQwMSA2MzYgNjM2IDYzNiA2MzYgMzM3CjUwMCA1MDAgMTAwMCA0NzEgNjEyIDgzOCAzNjEgMTAwMCA1MDAgNTAwIDgzOCA0MDEgNDAxIDUwMCA2MzYgNjM2IDMxOCA1MDAKNDAxIDQ3MSA2MTIgOTY5IDk2OSA5NjkgNTMxIDY4NCA2ODQgNjg0IDY4NCA2ODQgNjg0IDk3NCA2OTggNjMyIDYzMiA2MzIgNjMyCjI5NSAyOTUgMjk1IDI5NSA3NzUgNzQ4IDc4NyA3ODcgNzg3IDc4NyA3ODcgODM4IDc4NyA3MzIgNzMyIDczMiA3MzIgNjExIDYwNQo2MzAgNjEzIDYxMyA2MTMgNjEzIDYxMyA2MTMgOTgyIDU1MCA2MTUgNjE1IDYxNSA2MTUgMjc4IDI3OCAyNzggMjc4IDYxMiA2MzQKNjEyIDYxMiA2MTIgNjEyIDYxMiA4MzggNjEyIDYzNCA2MzQgNjM0IDYzNCA1OTIgNjM1IDU5MiBdCmVuZG9iagoxNSAwIG9iago8PCAvZml2ZSAxNiAwIFIgL2ZvdXIgMTcgMCBSIC9vbmUgMTggMCBSIC9zaXggMTkgMCBSIC90aHJlZSAyMCAwIFIKL3R3byAyMSAwIFIgL3plcm8gMjIgMCBSID4+CmVuZG9iagozIDAgb2JqCjw8IC9GMSAxNCAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0ExIDw8IC9DQSAwIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4KL0EyIDw8IC9DQSAxIC9UeXBlIC9FeHRHU3RhdGUgL2NhIDEgPj4gPj4KZW5kb2JqCjUgMCBvYmoKPDwgPj4KZW5kb2JqCjYgMCBvYmoKPDwgPj4KZW5kb2JqCjcgMCBvYmoKPDwgPj4KZW5kb2JqCjIgMCBvYmoKPDwgL0NvdW50IDEgL0tpZHMgWyAxMCAwIFIgXSAvVHlwZSAvUGFnZXMgPj4KZW5kb2JqCjIzIDAgb2JqCjw8IC9DcmVhdGlvbkRhdGUgKEQ6MjAyMTA0MTIxMjE5MzkrMDInMDAnKQovQ3JlYXRvciAoTWF0cGxvdGxpYiB2My4zLjQsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcpCi9Qcm9kdWNlciAoTWF0cGxvdGxpYiBwZGYgYmFja2VuZCB2My4zLjQpID4+CmVuZG9iagp4cmVmCjAgMjQKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDE2IDAwMDAwIG4gCjAwMDAwMDc0NDEgMDAwMDAgbiAKMDAwMDAwNzI0NyAwMDAwMCBuIAowMDAwMDA3Mjc5IDAwMDAwIG4gCjAwMDAwMDczNzggMDAwMDAgbiAKMDAwMDAwNzM5OSAwMDAwMCBuIAowMDAwMDA3NDIwIDAwMDAwIG4gCjAwMDAwMDAwNjUgMDAwMDAgbiAKMDAwMDAwMDM5NSAwMDAwMCBuIAowMDAwMDAwMjA4IDAwMDAwIG4gCjAwMDAwMDM0ODcgMDAwMDAgbiAKMDAwMDAwNjA4MyAwMDAwMCBuIAowMDAwMDA1ODgzIDAwMDAwIG4gCjAwMDAwMDU1NDcgMDAwMDAgbiAKMDAwMDAwNzEzNiAwMDAwMCBuIAowMDAwMDAzNTA4IDAwMDAwIG4gCjAwMDAwMDM4MjggMDAwMDAgbiAKMDAwMDAwMzk5MCAwMDAwMCBuIAowMDAwMDA0MTQyIDAwMDAwIG4gCjAwMDAwMDQ1MzIgMDAwMDAgbiAKMDAwMDAwNDk0MyAwMDAwMCBuIAowMDAwMDA1MjY0IDAwMDAwIG4gCjAwMDAwMDc1MDEgMDAwMDAgbiAKdHJhaWxlcgo8PCAvSW5mbyAyMyAwIFIgL1Jvb3QgMSAwIFIgL1NpemUgMjQgPj4Kc3RhcnR4cmVmCjc2NTgKJSVFT0YK\n", + "image/png": 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\n", 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" ] @@ -332,7 +332,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -341,7 +341,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -350,7 +350,7 @@ "Text(0.5, 1.0, 'Ricker wavelet, w=69 a=7.3')" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, @@ -363,8 +363,8 @@ }, { "data": { - "application/pdf": 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\n", 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -387,9 +387,23 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/pdf": 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "def run_ser_test(sample_duration=128, nbits=6, signal_amplitude=2.0e-3, decimation=10, threshold_factor=4.0, power_avg_width=2.5, max_lookahead=6.5, pol_score_factor=1.0, seed=0, ax=None, print=print, ser_maxshift=3, debug_range=None):\n", "\n", + " print('> 1 Generating test signal')\n", " # Generate test data for this simulation run\n", " test_data, signal = generate_test_signal(sample_duration, nbits, signal_amplitude, decimation, seed)\n", " \n", @@ -472,6 +474,7 @@ " peak_group_threshold = 0.05 * bit_period # Duration over which to group several detected peaks into one, in samples\n", " hole_patching_threshold = 0.01 * bit_period # Duration over which to ignore temporary dropouts in signal during grouping\n", " \n", + " print('> 2 CWT')\n", " # (2) Calculate continuous wavelet transform of correlator output and a ricker wavelet. The width factor of the ricker wavelet at 0.73*decimation was\n", " # determined empirically. This transform acts like a sharpening filter on our peaks and will increase SNR for the following thresholding step.\n", " cwt_res = np.array([ sig.cwt(row, sig.ricker, [0.73 * decimation]).flatten() for row in cor_an ])\n", @@ -489,6 +492,7 @@ " #print('compare_th:', th.shape, val.shape)\n", " return np.any(np.abs(val) > th*threshold_factor)\n", "\n", + " print('> 3 Peak grouping')\n", " # (4) Group samples above threshold value into spans\n", " peaks = [ list(group) for val, group in itertools.groupby(enumerate(zip(th.T, cwt_res.T)), compare_th) if val ]\n", " peaks_processed = []\n", @@ -545,6 +549,7 @@ " print(msg)\n", " print(group)\n", "\n", + " print('> 4 Maximum-likelihood decoding')\n", " # Calculate average magnitude of all found peaks for normalization in next step\n", " avg_peak = np.mean(np.abs(np.array([last_pol for _1, _2, last_pol, _3, _4 in peak_group])))\n", " print('avg_peak', avg_peak)\n", @@ -634,6 +639,7 @@ "\n", " last_pos = pos\n", "\n", + " print('> 5 Matching')\n", " decoded = list(viz(chain, peaks_processed))\n", " print('decoding [ref|dec]:')\n", " match_result = []\n", @@ -662,18 +668,18 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "79df803b1cff4efcb4db82e76d4e9976", + "model_id": "751dcfcafb7d44e6aa6d77ae422e71c7", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))" + "0it [00:00, ?it/s]" ] }, "metadata": {}, @@ -684,19 +690,31 @@ "output_type": "stream", "text": [ "scheduled 50 tasks. waiting...\n", - "done\n", - "\n" + "done\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "application/pdf": 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\n", + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ @@ -732,11 +750,11 @@ " return ser, std\n", "\n", "results = {}\n", + "st = np.random.RandomState(0)\n", "with tqdm(total = 0) as tq:\n", " with multiprocessing.Pool(multiprocessing.cpu_count()//2) as pool:\n", " for nbits, thf, reps, points, duration in [(5, 4.0, 5, 25, 64), (6, 4.0, 5, 25, 64)]: #[(5, 4.0, 50, 25, 128), (6, 4.0, 25, 25, 64), (7, 5.0, 10, 10, 64), (8, 6.0, 5, 10, 32)]:\n", " #print(f'nbits={nbits}')\n", - " st = np.random.RandomState(0)\n", " vs = 0.1e-3 * 10 ** np.linspace(0, 1.5, points)\n", " results[nbits] = [ pool.apply_async(calculate_ser, (v, st.randint(0xffffffff), nbits, thf, reps, duration), callback=lambda _res: tq.update(1)) for v in vs ]\n", " tq.total += len(vs)\n", @@ -766,13 +784,153 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "application/pdf": 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\n", 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\n", + "application/vnd.jupyter.widget-view+json": { + "model_id": "ea39fcd66b66478c8a0df52afdf9709f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting 0.0001/0\n", + "Starting 0.000316227766016838/0\n", + "> 1 Generating test signalStarting 0.0014677992676220691/0\n", + "Starting 0.00046415888336127784/0\n", + "Starting 0.001/0\n", + "Starting 0.0021544346900318834/0\n", + "Starting 0.0006812920690579612/0\n", + "> 1 Generating test signalStarting 0.0031622776601683794/0\n", + "\n", + "> 1 Generating test signal> 1 Generating test signal> 1 Generating test signal> 1 Generating test signal> 1 Generating test signal> 1 Generating test signal\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Starting 0.00014677992676220695/0\n", + "> 1 Generating test signal\n", + "Starting 0.0002154434690031884/0\n", + "> 1 Generating test signal\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 44\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 45\u001b[0m \u001b[0mpool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 46\u001b[0;31m \u001b[0mpool\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 47\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 48\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'scheduled {tq.total} tasks. waiting...'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/multiprocessing/pool.py\u001b[0m in \u001b[0;36mjoin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 660\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_state\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mCLOSE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTERMINATE\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 661\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"In unknown state\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 662\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_worker_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 663\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_task_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 664\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result_handler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/threading.py\u001b[0m in \u001b[0;36mjoin\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m 1031\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1032\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1033\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_wait_for_tstate_lock\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1034\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1035\u001b[0m \u001b[0;31m# the behavior of a negative timeout isn't documented, but\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.9/threading.py\u001b[0m in \u001b[0;36m_wait_for_tstate_lock\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m 1047\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlock\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# already determined that the C code is done\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1048\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_stopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1049\u001b[0;31m \u001b[0;32melif\u001b[0m \u001b[0mlock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0macquire\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1050\u001b[0m \u001b[0mlock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelease\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1051\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_stop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + }, + { + "data": { + "application/pdf": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "default_params = dict(\n", + " decimation=10,\n", + " power_avg_width=2.5,\n", + " max_lookahead=6.5)\n", + "\n", + "fig, ax = plt.subplots(figsize=(6, 3))\n", + "\n", + "def calculate_ser(v, seed, nbits, thf, reps, duration):\n", + " st = np.random.RandomState(seed)\n", + " params = dict(default_params)\n", + " params['signal_amplitude'] = v\n", + " params['nbits'] = nbits\n", + " params['threshold_factor'] = thf\n", + " sers, brs = [], []\n", + " for i in range(reps):\n", + " seed = st.randint(0xffffffff)\n", + " try:\n", + " print(f'Starting {v}/{i}\\n', end='', flush=True)\n", + " ser, br = run_ser_test(**params, sample_duration=duration, print=print, seed=seed)\n", + " sers.append(ser)\n", + " brs.append(br)\n", + " print(f'Finishing {v}/{i}\\n', end='', flush=True)\n", + " except Exception as e:\n", + " traceback.print_exc()\n", + " print('got', e, 'seed', seed, 'params', params)\n", + " #sers.append(1.0)\n", + " #brs.append(0.0)\n", + " #print(f'nbits={nbits} ampl={v:>.5f} seed={seed:08x} > ser={ser:.5f}')\n", + " sers, brs = np.array(sers), np.array(brs)\n", + " ser, std = np.mean(sers), np.std(sers)\n", + " #print(f'signal_amplitude={v:<.5f}: ser={ser:<.5f} ±{std:<.5f}, br={np.mean(brs):<.5f}')\n", + " return ser, std\n", + "\n", + "results = {}\n", + "st = np.random.RandomState(0)\n", + "with tqdm(total = 0) as tq:\n", + " with multiprocessing.Pool(multiprocessing.cpu_count()) as pool:\n", + " for nbits, thf, reps, points, duration in [(10, 4.0, 5, 10, 10)]:\n", + " #print(f'nbits={nbits}')\n", + " vs = 0.1e-3 * 10 ** np.linspace(0, 1.5, points)\n", + " results[nbits] = [ pool.apply_async(calculate_ser, (v, st.randint(0xffffffff), nbits, thf, reps, duration), callback=lambda _res: tq.update(1)) for v in vs ]\n", + " tq.total += len(vs)\n", + " tq.refresh()\n", + " \n", + " pool.close()\n", + " pool.join()\n", + "\n", + " print(f'scheduled {tq.total} tasks. waiting...')\n", + " results = { nbits: [ res.get() for res in series ] for nbits, series in results.items() }\n", + " print('done')\n", + "\n", + "with open(f'dsss_experiments_res-{datetime.datetime.now():%Y-%m-%d %H:%M:%S}.json', 'w') as f:\n", + " json.dump(results, f)\n", + " \n", + "for nbits, res in results.items():\n", + " data = np.array(res)\n", + " sers, stds = data[:,0], data[:,1]\n", + "\n", + " l, = ax.plot(vs*1e3, np.clip(sers, 0, 1), label=f'{nbits} bit')\n", + " ax.fill_between(vs*1e3, np.clip(sers + stds, 0, 1), np.clip(sers - stds, 0, 1), facecolor=l.get_color(), alpha=0.3)\n", + "ax.grid()\n", + "ax.set_xlabel('Amplitude in mHz')\n", + "ax.set_ylabel('Symbol error rate')\n", + "ax.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "application/pdf": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -799,7 +957,7 @@ " stds = np.array([ np.std(values) for values in series ])\n", "\n", " # FIXME HACK HACK HACK\n", - " vs = 0.1e-3 * 10 ** np.linspace(0, 1.5, 25)\n", + " vs = 0.1 * 10 ** np.linspace(0, 1.5, 25)\n", " \n", " l, = ax.plot(vs, np.clip(sers, 0, 1), label=f'{nbits} bit')\n", " ax.fill_between(vs, np.clip(sers + stds, 0, 1), np.clip(sers - stds, 0, 1), facecolor=l.get_color(), alpha=0.3)\n", @@ -1048,8 +1206,8 @@ "#plot_gold_sensitivity(load_results(*default_files))\\\n", "#.savefig('fig_out/dsss_gold_nbits_sensitivity.pdf');\n", "\n", - "plot_amplitude_ber(load_results(*default_files), figsize=(7, 4))\\\n", - ".savefig('fig_out/dsss_thf_amplitude_5678.pdf');\n", + "#plot_amplitude_ber(load_results(*default_files), figsize=(7, 4))\\\n", + "#.savefig('fig_out/dsss_thf_amplitude_5678.pdf');\n", "\n", "#plot_thf_graph(load_results(*default_files), figsize=(7, 4))\\\n", "#.savefig('fig_out/dsss_thf_sensitivity_5678.pdf')\n", @@ -1551,9 +1709,9 @@ ], "metadata": { "kernelspec": { - "display_name": "labenv", + "display_name": "ma-thesis-env", "language": "python", - "name": "labenv" + "name": "ma-thesis-env" }, "language_info": { "codemirror_mode": { @@ -1565,7 +1723,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.3" + "version": "3.9.2" } }, "nbformat": 4, diff --git a/lab-windows/dsss_experiments.ipynb b/notebooks/dsss_experiments.ipynb similarity index 51% rename from lab-windows/dsss_experiments.ipynb rename to notebooks/dsss_experiments.ipynb index 8019081..c41ecc0 100644 --- a/lab-windows/dsss_experiments.ipynb +++ b/notebooks/dsss_experiments.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -75,41 +75,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "5081f9508a894fcf810e2d9c92c24a3e", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(31,) (31,)\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots()\n", "ax.matshow(gold(5))" @@ -117,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -133,35 +101,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(31,) (31,)\n" - ] - }, - { - "data": { - "text/plain": [ - "array([-1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1,\n", - " 1, 1, -1, -1, -1, -1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1,\n", - " 1, -1, -1, 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"data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ec8de5680ba541938b7d1843b841c327", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(31,) (31,)\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "nbits = 5\n", "decimation = 10\n", @@ -260,42 +159,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "bb32b5050ee14ddc8eb64697a8eb774b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(31,) (31,)\n", - "(31,) (31,)\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "decimation = 10\n", "\n", @@ -317,49 +183,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(31,) (31,)\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "48b3ae259e8046a5b90a82c4e80bab2e", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(31,) (31,)\n", - "(31,) (31,)\n" - ] - }, - { - "data": { - "text/plain": [ - "(2.0, 1.0121324810255907)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "decimation = 10\n", "signal_amplitude = 2.0\n", @@ -399,19 +225,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mean: 49.98625\n" - ] - } - ], + "outputs": [], "source": [ - "with open('/mnt/c/Users/jaseg/shared/raw_freq.bin', 'rb') as f:\n", + "with open('data/raw_freq.bin', 'rb') as f:\n", " mains_noise = np.copy(np.frombuffer(f.read(), dtype='float32'))\n", " print('mean:', np.mean(mains_noise))\n", " mains_noise -= np.mean(mains_noise)" @@ -419,42 +237,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(63,) (63,)\n", - "(63,) (63,)\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "73f4caf6a80f448183c41b711412a471", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(0.0020000000000000005, 0.014544699)" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "decimation = 10\n", "signal_amplitude = 2.0e-3\n", @@ -534,41 +319,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9fa8fa6a6837412da95630c634a12e21", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(63,) (63,)\n" - ] - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots()\n", "\n", @@ -584,42 +337,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "854dec05e45340ae91cf271b2facd7ed", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(63,) (63,)\n" - ] - }, - { - "ename": "NameError", - "evalue": "name 'cor2_pe' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0msosh\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbutter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'highpass'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'sos'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdecimation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0msosl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbutter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'lowpass'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'sos'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdecimation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mcor2_pe_flt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msosfilt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msosh\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcor2_pe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 11\u001b[0m \u001b[0mcor2_pe_flt2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msosfilt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msosh\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msosfiltfilt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msosl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcor2_pe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mNameError\u001b[0m: name 'cor2_pe' is not defined" - ] - } - ], + "outputs": [], "source": [ "fig, axs = plt.subplots(3, 1, figsize=(9, 7), sharex=True)\n", "fig.tight_layout()\n", @@ -642,34 +362,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b3f68635d3ad4863b990c0b6e742840b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots()\n", "nonlinear_distance = lambda x: 100**(2*np.abs(0.5-x%1)) / (np.abs(x)+3)**2\n", @@ -679,56 +374,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a6c4ef5b68a745b9963d3407df2e03fc", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cor_an (65, 81269)\n", - "cwt_res (65, 81269)\n", - "th (65, 81269)\n", - "[((65,), (65,)), ((65,), (65,)), ((65,), (65,)), ((65,), (65,)), ((65,), (65,))]\n", - "peaks: 1852\n", - "avg_peak 1.6610203317347632\n", - "skipped 3 symbols at 42209.0\n", - "decoding [ref|dec]:\n", - " 10| 10 ✔ 69| 69 ✔ 124|124 ✔ 102|102 ✔ 2| 2 ✔ 3| 3 ✔ 78| 78 ✔ 29| 29 ✔ \n", - "122|123 ✘ 73| 73 ✔ 98| 98 ✔ 34| 34 ✔ -1| -1 ✔ 97| 97 ✔ 7| 7 ✔ 97| 97 ✔ \n", - " 86| 86 ✔ 120|120 ✔ 95| 95 ✔ 90| 90 ✔ 49| 49 ✔ 89| 89 ✔ 83| 83 ✔ 19| 19 ✔ \n", - " 84| 84 ✔ 117|117 ✔ 92| 92 ✔ 119|119 ✔ 16| 16 ✔ 45| 45 ✔ 23| 23 ✔ 16| 16 ✔ \n", - "111|111 ✔ 9| 9 ✔ 89| 89 ✔ 18| 18 ✔ 36| 36 ✔ 2| 2 ✔ 115|115 ✔ 40| 40 ✔ \n", - "100|100 ✔ 105|105 ✔ 93| 93 ✔ 85| 85 ✔ 107|107 ✔ 90| 90 ✔ 62| 62 ✔ 116|116 ✔ \n", - " 42| 42 ✔ 123|123 ✔ 40| 40 ✔ -1| -1 ✔ 77| 77 ✔ 40| 40 ✔ 57| 57 ✔ 110|110 ✔ \n", - " 29| 29 ✔ 94| 94 ✔ 1| 1 ✔ 29| 29 ✔ 71| 71 ✔ 119|119 ✔ 15| 15 ✔ 115|115 ✔ \n", - "120| -1 70| -1 50| 50 ✔ 71| 71 ✔ 50| 50 ✔ 61| 61 ✔ 38| 38 ✔ 4| 4 ✔ \n", - " 3| 3 ✔ 124|124 ✔ 95| 95 ✔ 27| 27 ✔ 48| 48 ✔ 116|116 ✔ 3| 3 ✔ 63| 63 ✔ \n", - " 19| 19 ✔ 79| 79 ✔ 2| 2 ✔ 43| 43 ✔ 92| 92 ✔ 8| 8 ✔ 65| 65 ✔ 35| 35 ✔ \n", - " 30| 30 ✔ 73| 73 ✔ 73| 73 ✔ 38| 38 ✔ 58| 58 ✔ 49| 49 ✔ 45| 45 ✔ 58| 58 ✔ \n", - " 46| 46 ✔ 116|116 ✔ 101|101 ✔ 5| 5 ✔ 78| 78 ✔ 126|126 ✔ 105| 76 ✘ 108|108 ✔ \n", - " 59| 59 ✔ 46| 46 ✔ 27| 27 ✔ 14| 14 ✔ 57| 57 ✔ 81| 81 ✔ 3| 3 ✔ 9| 9 ✔ \n", - "126|126 ✔ 18| 55 ✘ 76| 76 ✔ 101|101 ✔ 124|124 ✔ 4| 4 ✔ 3| 3 ✔ 102|102 ✔ \n", - " 79| 79 ✔ 121|121 ✔ 103|103 ✔ 92| 92 ✔ 30| 30 ✔ 4| 4 ✔ 103|103 ✔ 59| 58 ✘ \n", - "Symbol error rate e=0.046875\n", - "maximum bitrate r=321.6796875 b/h\n" - ] - } - ], + "outputs": [], "source": [ "threshold_factor = 4.0\n", "power_avg_width = 1024\n", @@ -880,35 +528,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "44d617eb7c5c416f96e16c9221c4fe96", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "ename": "NameError", - "evalue": "name 'cor2_pe_flt2' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m 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"execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import math\n", + "import struct\n", + "\n", + "import numpy as np\n", + "from scipy import signal, optimize\n", + "from matplotlib import pyplot as plt\n", + "\n", + "import rocof_test_data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib\n", + "from IPython.display import set_matplotlib_formats\n", + "%matplotlib widget\n", + "#%matplotlib inline\n", + "#set_matplotlib_formats('png', 'pdf')\n", + "#font = {'family' : 'normal',\n", + "# 'weight' : 'normal',\n", + "# 'size' : 10}\n", + "#matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "fs = 1000 # Hz\n", + "ff = 50 # Hz\n", + "duration = 60 # seconds\n", + "# test_data = rocof_test_data.sample_waveform(rocof_test_data.test_close_interharmonics_and_flicker(),\n", + "# duration=20,\n", + "# sampling_rate=fs,\n", + "# frequency=ff)[0]\n", + "# test_data = rocof_test_data.sample_waveform(rocof_test_data.gen_noise(fmin=10, amplitude=1),\n", + "# duration=20,\n", + "# sampling_rate=fs,\n", + "# frequency=ff)[0]\n", + "\n", + "test_data = []\n", + "test_labels = [ fun.__name__.replace('test_', '') for fun in rocof_test_data.all_tests ] + ['tmp']\n", + "for gen in rocof_test_data.all_tests:\n", + " test_data.append(rocof_test_data.sample_waveform(gen(),\n", + " duration=duration,\n", + " sampling_rate=fs,\n", + " frequency=ff)[0])\n", + "test_data.append(rocof_test_data.sample_waveform(rocof_test_data.gen_chirp(49.8, 50.6, 0.40, dwell_time=0.60), duration=duration, sampling_rate=fs, frequency=ff)[0])\n", + "# d = 10 # seconds\n", + "# test_data = np.sin(2*np.pi * ff * np.linspace(0, d, int(d*fs)))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "spr_fmt = f'{fs}Hz' if fs<1000 else f'{fs/1e3:f}'.rstrip('.0') + 'kHz'\n", + "for label, data in zip(test_labels, test_data):\n", + " with open(f'rocof_test_data/rocof_test_{label}_{spr_fmt}.bin', 'wb') as f:\n", + " for sample in data:\n", + " f.write(struct.pack(':6: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading']. This will become an error two minor releases later.\n", + " ax.pcolormesh(t[1:], f[:250], np.abs(Zxx[:250,1:]))\n" + ] + } + ], + "source": [ + "fig, ax = plt.subplots(len(test_data), figsize=(8, 20), sharex=True)\n", + "fig.tight_layout(pad=2, h_pad=0.1)\n", + "\n", + "for fft, ax, label in zip(ffts, ax.flatten(), test_labels):\n", + " f, t, Zxx = fft\n", + " ax.pcolormesh(t[1:], f[:250], np.abs(Zxx[:250,1:]))\n", + " ax.set_title(label, pad=-20, color='white')\n", + " ax.grid()\n", + " ax.set_ylabel('f [Hz]')\n", + " ax.set_ylim([30, 75]) # Hz\n", + "ax.set_xlabel('simulation time t [s]')\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0. , 3.90625, 7.8125 , 11.71875, 15.625 , 19.53125,\n", + " 23.4375 , 27.34375, 31.25 , 35.15625, 39.0625 , 42.96875,\n", + " 46.875 , 50.78125, 54.6875 , 58.59375, 62.5 , 66.40625,\n", + " 70.3125 , 74.21875, 78.125 , 82.03125, 85.9375 , 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417.96875,\n", + " 421.875 , 425.78125, 429.6875 , 433.59375, 437.5 , 441.40625,\n", + " 445.3125 , 449.21875, 453.125 , 457.03125, 460.9375 , 464.84375,\n", + " 468.75 , 472.65625, 476.5625 , 480.46875, 484.375 , 488.28125,\n", + " 492.1875 , 496.09375, 500. ])" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b361be278748475bbe442f861a99418b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n", + "/usr/lib/python3.9/site-packages/scipy/optimize/minpack.py:828: OptimizeWarning: Covariance of the parameters could not be estimated\n", + " warnings.warn('Covariance of the parameters could not be estimated',\n" + ] + } + ], + "source": [ + "fig, axs = plt.subplots(len(test_data)-1, figsize=(12, 15), sharex=True)\n", + "axs = axs.flatten()\n", + "\n", + "for fft, label in zip(ffts, test_labels):\n", + " if label in ['noise_loud']: # custom test case, not part of upstream suite\n", + " continue\n", + " ax, *axs = axs\n", + " \n", + " f, f_t, Zxx = fft\n", + " \n", + " n_f, n_t = Zxx.shape\n", + " f_min, f_max = 30, 70 # Hz\n", + " bounds_f = slice(np.argmax(f > f_min), np.argmin(f < f_max))\n", + " \n", + " f_mean = np.zeros(Zxx.shape[1])\n", + " for t in range(1, Zxx.shape[1] - 1):\n", + " frame_f = f[bounds_f]\n", + " frame_step = frame_f[1] - frame_f[0]\n", + " time_step = f_t[1] - f_t[0]\n", + " frame_Z = np.abs(Zxx[bounds_f, t])\n", + " \n", + " def gauss(x, *p):\n", + " A, mu, sigma = p\n", + " return A*np.exp(-(x-mu)**2/(2.*sigma**2))\n", + " \n", + " f_start = frame_f[np.argmax(frame_Z)]\n", + " A_start = np.max(frame_Z)\n", + " p0 = [A_start, f_start, 1.]\n", + " try:\n", + " coeff, var = optimize.curve_fit(gauss, frame_f, frame_Z, p0=p0)\n", + " A, mu, sigma, *_ = coeff\n", + " f_mean[t] = mu\n", + " except RuntimeError:\n", + " f_mean[t] = np.nan\n", + " ax.plot(f_t[1:-1], f_mean[1:-1])\n", + " \n", + " ax.set_title(label, pad=-20, bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " ax.set_ylabel('f [Hz]')\n", + " ax.grid()\n", + " if not label in ['off_frequency', 'sweep_phase_steps']:\n", + " #ax.set_ylim([49.90, 50.10])\n", + " var = np.var(f_mean[1:-1])\n", + " ax.text(0.5, 0.1, f'σ²={var * 1e3:.3g} mHz²', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " ax.text(0.5, 0.25, f'σ={np.sqrt(var) * 1e3:.3g} mHz', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " else:\n", + " f_min, f_max = min(f_mean[1:-1]), max(f_mean[1:-1])\n", + " delta = f_max - f_min\n", + " ax.set_ylim(f_min - delta * 0.1, f_max + delta * 0.3)\n", + " \n", + "ax.set_xlabel('simulation time t [s]')\n", + "fig.tight_layout(pad=2.2, h_pad=0, w_pad=1)\n", + "fig.savefig('fig_out/freq_meas_rocof_reference.pdf')\n", + "None" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ma-thesis-env", + "language": "python", + "name": "ma-thesis-env" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/lab-windows/gauss_derivations.ipynb b/notebooks/gauss_derivations.ipynb similarity index 100% rename from lab-windows/gauss_derivations.ipynb rename to notebooks/gauss_derivations.ipynb diff --git a/lab-windows/gps_clock_jitter_analysis.ipynb b/notebooks/gps_clock_jitter_analysis.ipynb similarity index 100% rename from lab-windows/gps_clock_jitter_analysis.ipynb rename to notebooks/gps_clock_jitter_analysis.ipynb diff --git a/notebooks/grid_freq_estimation.ipynb b/notebooks/grid_freq_estimation.ipynb new file mode 100644 index 0000000..4c61380 --- /dev/null +++ b/notebooks/grid_freq_estimation.ipynb @@ -0,0 +1,1053 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Setup\n", + "## Import required packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + " import math\n", + "import sqlite3\n", + "import struct\n", + "import datetime\n", + "import json\n", + "\n", + "import scipy.fftpack\n", + "from scipy import signal as sig\n", + "import matplotlib\n", + "from matplotlib import pyplot as plt\n", + "from matplotlib import patches\n", + "from matplotlib import dates\n", + "import numpy as np\n", + "from scipy import signal, optimize, interpolate\n", + "from tqdm.notebook import tnrange, tqdm\n", + "from IPython.display import set_matplotlib_formats" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_147503/2251044864.py:2: DeprecationWarning: `set_matplotlib_formats` is deprecated since IPython 7.23, directly use `matplotlib_inline.backend_inline.set_matplotlib_formats()`\n", + " set_matplotlib_formats('png', 'pdf')\n" + ] + } + ], + "source": [ + "%matplotlib inline\n", + "set_matplotlib_formats('png', 'pdf')\n", + "font = {'family' : 'normal',\n", + " 'weight' : 'normal',\n", + " 'size' : 8}\n", + "matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load data series information from sqlite capture file\n", + "\n", + "One capture file may contain multiple runs/data series. Display a list of runs and their start/end time and sample count, then select the newest one in `last_run` variable." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "db = sqlite3.connect('data/waveform-raspi-ocxo-2day.sqlite3')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Run 000: 2020-04-01 14:00:25 - 2020-04-01 15:09:31 ( 1:09:05.846, 4197664sp)\n", + "Run 001: 2020-04-02 11:56:41 - 2020-04-02 11:57:59 ( 0:01:18.544, 79552sp)\n", + "Run 002: 2020-04-02 12:03:51 - 2020-04-03 14:12:18 (1 day, 2:08:27.618, 95262592sp)\n", + "Run 003: 2020-04-03 14:12:48 - 2020-04-06 10:33:25 (2 days, 20:20:36.644, 249113600sp)\n" + ] + } + ], + "source": [ + "for run_id, start, end, count in db.execute('SELECT run_id, MIN(rx_ts), MAX(rx_ts), COUNT(*) FROM measurements GROUP BY run_id'):\n", + " foo = lambda x: datetime.datetime.fromtimestamp(x/1000)\n", + " start, end = foo(start), foo(end)\n", + " time_window = f'{start:%Y-%m-%d %H:%M:%S} - {end:%Y-%m-%d %H:%M:%S}'\n", + " print(f'Run {run_id:03d}: {time_window} ({str(end-start)[:-3]:>13}, {count*32:>9d}sp)')\n", + "last_run, n_records = run_id, count" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup analog parameters\n", + "\n", + "Setup parameters of analog capture hardware here. This is used to scale samples from ADC counts to analog voltages. Also setup sampling rate here. Nominal sampling rate is 1 ksps." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "sampling_rate = 1000.0 * 48.6 / 48\n", + "\n", + "par = lambda *rs: 1/sum(1/r for r in rs) # resistor parallel calculation\n", + "\n", + "# Note: These are for the first prototype only!\n", + "vmeas_source_impedance = 330e3\n", + "vmeas_source_scale = 0.5\n", + "\n", + "vcc = 15.0\n", + "vmeas_div_high = 27e3\n", + "vmeas_div_low = par(4.7e3, 10e3)\n", + "vmeas_div_voltage = vcc * vmeas_div_low / (vmeas_div_high + vmeas_div_low)\n", + "vmeas_div_impedance = par(vmeas_div_high, vmeas_div_low)\n", + "\n", + "#vmeas_overall_factor = vmeas_div_impedance / (vmeas_source_impedance + vmeas_div_impedance)\n", + "v0 = 1.5746\n", + "v100 = 2.004\n", + "vn100 = 1.1452\n", + "\n", + "adc_vcc = 3.3 # V\n", + "adc_fullscale = 4095\n", + "\n", + "adc_val_to_voltage_factor = 1/adc_fullscale * adc_vcc\n", + "\n", + "adc_count_to_vmeas = lambda x: (x*adc_val_to_voltage_factor - v0) / (v100-v0) * 100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load run data from sqlite3 capture file\n", + "\n", + "Load measurement data for the selected run and assemble a numpy array containing one continuous trace. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d5d47d8c9ff441febc6c31ce1b612abd", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/7784800 [00:00 last_seq:\n", + " last_seq = seq\n", + " # nans = np.empty((record_size,))\n", + " # nans[:] = np.nan\n", + " # data = np.append(data, nans) FIXME\n", + " \n", + "data = (data * adc_val_to_voltage_factor - v0) / (v100-v0) * 100\n", + "\n", + "# https://stackoverflow.com/questions/6518811/interpolate-nan-values-in-a-numpy-array\n", + "nan_helper = lambda y: (np.isnan(y), lambda z: z.nonzero()[0])\n", + "\n", + "# data rarely may contain NaNs where the capture script failed to read and acknowledge capture buffers from the sensor board fast enough.\n", + "# For RMS calculation and overall FFT fill these NaNs with interpolated values from their neighbors.\n", + "data_interp = np.copy(data)\n", + "nans, x = nan_helper(data)\n", + "data_interp[nans]= np.interp(x(nans), x(~nans), data[~nans])\n", + "\n", + "print('RMS voltage:', np.sqrt(np.mean(np.square(data_interp))))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of skipped sample packets: 16\n", + "Consecutive skipped packets: 1 pkt: 10 2 pkt: 3\n" + ] + } + ], + "source": [ + "import itertools\n", + "skip_groups = [ len(list(group))//32 for val, group in itertools.groupby(nans) if val ]\n", + "print('Number of skipped sample packets:', sum(skip_groups))\n", + "print('Consecutive skipped packets:', ' '.join(f'{val} pkt: {len(list(group))}' for val, group in itertools.groupby(sorted(skip_groups))))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Show a preview of loaded data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n", + "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n", + "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n" + ] + }, + { + "data": { + "application/pdf": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, (top, bottom) = plt.subplots(2, figsize=(9,6))\n", + "fig.tight_layout(pad=3, h_pad=1.8)\n", + "\n", + "range_start, range_len = -300, 60 # [s]\n", + "\n", + "data_slice = data[ int(range_start * sampling_rate) : int((range_start + range_len) * sampling_rate) ]\n", + "\n", + "top.grid()\n", + "top.plot(np.linspace(0, range_len, int(range_len*sampling_rate)), data_slice, lw=1.0)\n", + "top.set_xlim([range_len/2-0.25, range_len/2+0.25])\n", + "mean = np.mean(data_interp)\n", + "rms = np.sqrt(np.mean(np.square(data_interp - mean)))\n", + "peak = np.max(np.abs(data_interp - mean))\n", + "top.axhline(mean, color='red')\n", + "bbox = {'facecolor': 'black', 'alpha': 0.8, 'pad': 2}\n", + "top.text(0.02, 0.5, f'mean: {mean:.3f}', transform=top.transAxes, color='white', bbox=bbox, ha='left', va='center')\n", + "top.text(0.98, 0.2, f'V_RMS: {rms:.3f}', transform=top.transAxes, color='white', bbox=bbox, ha='right')\n", + "top.text(0.98, 0.1, f'V_Pk: {peak:.3f}', transform=top.transAxes, color='white', bbox=bbox, ha='right')\n", + "top.text(0.5, 0.9, f'Run {run_id}', transform=top.transAxes, color='white', bbox=bbox, ha='center', fontweight='bold')\n", + "\n", + "bottom.grid()\n", + "bottom.specgram(data_slice, Fs=sampling_rate)\n", + "top.set_ylabel('U [V]')\n", + "bottom.set_ylabel('F [Hz]')\n", + "bottom.set_xlabel('t [s]')\n", + "\n", + "top.set_title('Voltage waveform')\n", + "bottom.set_title('Voltage frequency spectrum')\n", + "None" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Calculate Short-Time Fourier Transform of capture" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Window length: 256 sp, zero-padded to 256 sp\n", + "STFT sampling rate: 7.91015625\n" + ] + } + ], + "source": [ + "def calc_stft(data, fs=sampling_rate, ff:'Hz nominal'=50.0):\n", + " analysis_periods = 10\n", + " window_len = 256 # fs * analysis_periods/ff\n", + " nfft_factor = 1\n", + " sigma = window_len/8 # samples\n", + "\n", + " f, t, Zxx = signal.stft(data,\n", + " fs = fs,\n", + " window=('gaussian', sigma),\n", + " nperseg = window_len,\n", + " nfft = window_len * nfft_factor)\n", + " print(f'Window length: {window_len:.0f} sp, zero-padded to {window_len * nfft_factor:.0f} sp')\n", + " stft_output_sampling_rate = 1.0/(t[1] - t[0])\n", + " print('STFT sampling rate:', stft_output_sampling_rate)\n", + " return f, t, Zxx, stft_output_sampling_rate\n", + "\n", + "f, t, Zxx, stft_output_sampling_rate = calc_stft(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Show a preview of STFT results\n", + "\n", + "Cut out our approximate frequency range of interest" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + 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\n", + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(9, 3))\n", + "fig.tight_layout(pad=2, h_pad=0.1)\n", + "\n", + "ax.pcolormesh(t[-200:-100], f[:250], np.abs(Zxx[:250,-200:-100]))\n", + "ax.set_title(f\"Run {last_run}\", pad=-20, color='white')\n", + "ax.grid()\n", + "ax.set_ylabel('f [Hz]')\n", + "ax.set_ylim([30, 75]) # Hz\n", + "ax.set_xlabel('capture time t [s]')\n", + "None" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Run Gasior and Gonzalez for precise frequency estimation\n", + "\n", + "Limit analysis to frequency range of interest. If automatic adaption to totally different frequency ranges\n", + "(e.g. 400Hz) would be necessary, we could switch here based on configuration or a lookup of the STFT bin\n", + "containing highest overall energy.\n", + "\n", + "As elaborated in the Gasior and Gonzalez Paper [1] the shape of the template function should match the expected peak shape.\n", + "Peak shape is determined by the STFT window function. As Gasior and Gonzalez note, a gaussian is a very good fit for a steep gaussian window." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "54307c438a4f4db18224385b62c16abc", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/1946199 [00:00 f_min), np.argmin(f < f_max))\n", + "\n", + " # Initialize output array\n", + " f_mean = np.zeros(Zxx.shape[1])\n", + "\n", + " jobs = {}\n", + " with multiprocessing.Pool(multiprocessing.cpu_count()) as pool, tqdm(total=Zxx.shape[1]-2) as tq:\n", + " # Iterate over STFT time slices\n", + " for le_t in range(0, Zxx.shape[1], chunksize):\n", + " # Cut out ROI and compute magnitude of complex fourier coefficients\n", + " jobs[le_t] = pool.map_async(runner, [\n", + " (f[bounds_f], np.abs(Zxx[bounds_f, frame_t]), frame_t) for frame_t in range(le_t, min(Zxx.shape[1], le_t+chunksize))\n", + " ], callback=lambda _x: tq.update(chunksize))\n", + "\n", + " pool.close()\n", + " for le_t, future in jobs.items():\n", + " f_mean[le_t:le_t+chunksize] = future.get()\n", + " pool.join()\n", + "\n", + " # Cut off invalid values at fringes\n", + " return f_mean[1:-2], t[1:-2]\n", + "\n", + "f_mean, f_mean_t = gasior_gonzalez_fmeas(f, t, Zxx)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Produce plots of measurement results\n", + "\n", + "### Plot results as time-series data\n", + "Include measurements of mean, standard deviation and variance of measurement data" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "application/pdf": 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\n", + "image/png": 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4rKzsrHIw9drmDs8B2SNc2f54okIHRF1EhZsOlWPUn+Y0cGuaPh555BG0auX5h3vw4KFh4BEuB0Q15/iNoajawC3x4MGDBw92eITLAW7GGX4H/yAPHuoDZkZlOPOBrj14cMIdr6/A+zvCjd2MeqP++drPQLgwXPD76h9B3YMHGarGOF6joXNjN8TDWYFPNx1Fx4Lmv455LIQDyOW5Km4FHjzUE7qe24OH7MNtY96c4BGuNJCBlFWNhrl7nR09V65c6VqWLlLNVdQY9TXVtpXVRHD1MwtRHc6c/rSxxy3RXMskGrufzRUe4TrL4DFcHjINzVhFwtEz1+ndQ9OCR7jOULjRJ/Iol4cMQzVEhCGPcHloIHiE6wxFMvqknQlP3kOTQFT1OC4PDYszQZ/qEa40IJ63dgY8eA9NA5rJcXk+gh4aBmfCFikrhIuIehHRUSIqIaJPjWO/IKIFRPQmEQVs5xcR0YdEtJCIbpaOTyOi2UY9TYDI6ouM6hEuDxmCcHb3RIUePKSObBKDz5g5yMyXElEHAJOYeRyAdQCusZ37PQBvAZgA4HYiyiGikQAKmXmqUU+jv9mCXnl0y0OmoHmEy4OHtJFNwjWJiL4gonsBXAygxDg+G8Bo27nFAGYzswpgLYD+AK4C0I6I5hLRb7PYzjiQi3mGoFeqp+PykCEI7t3TcXnwkDooG4o6IsqFHpUjBOB/AJYBOMrMzxNRXwC/ZubbpPM/A3AVM9cS0R8BfArgBgAnmfnXRPQ2gMeZeZXtPncAuAMAOnToMPydd97JSPtf3xTC5/uieO1ya+6kAxUaHlhYg+emFKAgkLqFYWVlJQoLCzPStrrWVxaKoHVuIO54ZWUlooFcx7KGaFdD1ddU27avXMVvF9Xip8NzcVGHzASyaexxSzTXmuIzyHRdma4vk3XdMqsKBX7Gc1MzU9+kSZNWMvOIjFSWDrIdfh7AD6EToV8a/4cBeNJ2zr8BdDR+Pw3gIgCPA7jMOPZ9ADckuk8m05o88N567jltBquqZjm++fBp7jltBpdVhdOqrymkJXh3yyHXutzK0kVT6GdD1JXJ+jYcLOOe02bwNc8uyEh9zI0/bonmWibR2P1sqPoyWVfPaTP4wgcyl2sQZ1JaEyIqkv6OBbADwETj/1QAS2yXLAYwhYh8AIYA2ApgkUHAYBzbnY22OkFYetmtB8VfzzjDQ6YgptKo3u0a7J7Ldp/CwbKaBrufBw+ZRrZ0XOOJaCURLQJwiJmXAphPRAugE6H3AYCIRN7zl6FzZV8AeIWZQwBmALiQiOYBUJh5UZbaGgeNrd8Cnjm8h0xDTCV/A8YT+9YLi3HP26sb7H4ePGQaWYkOz8wfAfjIduwxAI/Zjt1lfJcDuNJWFgVwazbalwzsxnEZ5hmeA7KHTIE9FwsPHtJGE/CNanrwRIUeGgomd9/AmyEv04GH5gyPcDnATVRoL/fgob4Q3H1Du1ikQrjY26B5aKLwCJcDTM5Kc+a4PFGhh0zB9A1sYCIR8Cd+9Uurwuj9q48SnuPBQ2PBI1wOEDtN+47T1HF5O1EPGYKpT23gzVBuEsJVFY42UEs8NDTOhOXLI1wOiOm4rMfdODEPHuqKxtKb5iQhXEKU6IkLPTRFeITLAZqbqNAs915mD5lBbK417H2dOK6oqiFqNETMcdWb6h6aIDzC5QDNTVTowol58FBXNLSocMPB0wCcCddXn1uEW19bDiC2afPmuoemiKz4cTV3xDgr5+OeqNBDptDQxhn/b/l+AIDPweF5/cHTpiO0SLficVwemiI8jssBpomyix+XJyr0kClojWSc4XQ7hSSC5XFcHpowPMLlAE0T3/a3li3lHjzUGw1snNG7vZ7xwMnowu+LLQdR1SNcZyrOhEfqES4HxHRc1uMex+Uh02ho8XOLXB8A582XLDz0OC4PTRke4XKA5rILbixnUQ9nLtzCi2ULYZWR41Mc57AcTSOqWa0LPXhoSvAIlwNcg+x6kTM8ZBgN7RsYVTXk+hVHgiRHgfI4Lg9NGWct4WJm7DlR5VwmnWO/BvBeZg+Zg+kv1UB604iqITegOG6+ZFGhZ1XooSnjrCVcq/eXIfiXEscyt8XEzTHZg4e6oqGd2iMqI9fvc9x8kcRyeRyXh6aMs5ZwRaLuW9xYdHjnWIVeGJzGw+8/2IiK2khjNyNzaHBRISPH76zjkkWFUY9weWjCyArhIqJeRHSUiEqI6FPj2C+IaAERvUlEAdv5RUT0IREtJKKbbWVPE9E/M91GJUHGWTcdV0ObLnuIx2uL9mD9gdON3YyMQWOGjxqO41I1DTm+mKhwzf4yrN1fBsBuVSiMMxqkWR48pIVsclyfMXOQmS8log4AJjHzOADrAFxjO/d7AN4CMAHA7USUAwBEdA6AXtloXKJM6TGnUOtxL3JG00Bu4MwRFDDrc7HBOC6NEfCTaRRyzbML8Y3nFwGwbuaEH5e3STvzcCY80myuAJOI6AsiuhfAxQBKjOOzAYy2nVsMYDYzqwDWAuhvHL8XwPRsNI4SJNIzHZBdrArPhAffHBE2xLs+5cwhXILjaijCpWoMv2K1KhT3dvLj8ua6h6aIbMUqPAygH4AQgP8BaAngqFF2GkAb2/mtAZTL5UTUFkAHANvdbkJEdwC4AwA6dOiAkpKSlBu4q0wFAMdrSstqAAArVq5E6U6feXzDCf2aNevWgY6kPnSVlZVptS0b9SmhCEoOb3WsS9mzwbGsIdqVTn3lYX0VXb5iJcqk59IU2lZXrD8ahUKM0rKyjLUvUdv27A2hulLD8RCZ52isvwfRqK47LCkpwbrDej6uyuqajM61pvgMUq2rMszI9zvHeWzstqUHznB9DY+sEC5mDkEnWiCiGdCJUlejuCWAMtslZcbxWqn8bgDPJLnPiwBeBID+/ftzMBhMuY1tD5QBSxbC6Zrnti4GTp3CkKFDMbxnW/O4su04sGIZBgwYiOCATinfq6SkxPE+dUVd6vvv1sMI9u/sWNepzv0dyxqiXenUt/7AaeDzBRg0eAhG92nXpNpWV9RuOALfxpUoLGqJYHBs/RuGxG0rKd+ICn8FCnJ8CAZHQvlkJjQGgsEgchd8hopwGMFgEGWrDwJr1yA3Lz+jc60pPoNU6+p130zcPeU83Du5X5NrW8qYNRMApVVfbUQFEZDrT2+zmE1kyzijSPo7FsAOABON/1MBLLFdshjAFCLyARgCYCuA3gAeAfAPAJOJ6FuZbKMcJSAOplWh42EvmkAjIWz4J0TPIOciZoaPqMH8pVSNEfAp5tyWuQdZfN5crQpVjbMaIODw6Zqs1d2YKK0K4/731juWffvFJbjhpaUN3KLEyJayYDwRrSSiRQAOMfNSAPOJaAF0wvQ+ABCR0F+9DOAGAF8AeIWZQ8x8MzNfDuA7AD5n5ney0VCnSc5mMF1nB+SGTvrnQUfEGPjIGRTlmAHdqrAhjTN8MR0XSZotWQImrAqb2x6h+JE5eOB/G7JWf6a4DmY2c6M1BazYW4o3l+5zLFuzvwwr9pY2cIsSI1uiwo8AfGQ79hiAx2zH7jK+ywFc6VLXHgA3Zr6N+ndE05Cr+OLKFHKPVdhcOK5lu0+hc6s8dG9b0NhNyQiEccaZ5EenMcOnZN8447NNR3Fhl5a6ObyfEA7px2XBg18yemmuHNexihBWZWGRPVGpD1hBTmYI17ajlbhy+gLsefQKHK8IoUNRbkbqrSsSqe2Imp6RzpljnpUmBPFxEjsx9IGJe1jNLDr8t15YjLvfXt3YzcgYBMdVV473kY82Y/+p6gy2qP4Qm6Rsz6nvvb4Cf/lkK6KGVaEg/rLIPODTf1fURqTIGc1jrsvIRptPVYUBAC3zA0nOTA1iLpfXRjDy4dmN7mKTyK/Vl0it0kg46wlXyCGCBjM7LiZChNjYkywdNKOmJkWMcNWtUy/M34UZ6w5nskn1hhAVNsScCvgIESNyhmYSrli5yMe1+0RVs87HlQ1aK55PXiCzBgrlNbolZ21EzWi96SKRzj+hPUAj4SwmXPr3b96Pl4cznJ1CGzqSdyZwJonVwmr9Q24JrqKpIGackf3nVJDjx4drD6EmrJpzuSqsL5izNhzGjmOVAHQ9jpjjzU3HlS0IMbWaYf1qeY3udpBJwsXMWHegLK1rEokK3dwm/7PyQFr3yCTOWsIl5H5rjHA3lhJDfHMmJJI8kyIfmItHPfqU429aU545c8YZ76zYj78v2G05dromYi5iIonk8J5t4ubwqwv3mL+jmtZsdVxAdjL8Cm4/mqEBEfWUVusiyJo6EK6qUBTV4Wjc8UOna3H1MwvTqiuRONCt7Of/XpvWPTKJpvUWNyASRXoXHFe8qFBHpiZvQ0LVGG8tc7Yaai6oj6hQPLPcJka4TOOMDGwwHp65GQ/N2GQ59tfPtpmLWJ7fB4WA/p2KXF09cv0Koio361iF2ZAyiE1Tpqw/xVwWRh/hBEG/3fC15xbhmmfjCVSy/juVJooklEj/1VhoWm9xA0JMQMfnxQyFyEFU6Gwm35QhJBvHTtfiV/919tNoLhAve13WpVpjY9rUNh2mcUYGJFABX/zrLIugFIWgMeBXKH5xM/7m+hVENW7WHFc2EJI4rj0nqnDBb2bVqz6RneLut9cAiPkopoPtxyqw7Whl3HGhk0pnnUqkxkolUkhD46wlXOKRdmuT71imc1zO1zS1xS8RREubooI1XcT0DHXnuO5/L3s+PnVBIuOMmesOY/meUynX5aS/i9iUVAEfwWcQMBlCupAb8OFAaTU+Wn/Ycjzb+PMnW/Dox1syUlc2WizPvQOlNXUS7cmIGA+gV7sCS/3pwK2fYi6lQww944xmAvFCju3bPq4spuPyjDOaEsSLWBexWlS6pClxzFoC44wf/2sVfvZO6noEp+UlKrFyzLopPBHFESTxP8en4PFZW82dfEMN1d9KduL5eTsb5mZ1gOD2Nx8uRyhaf0MKwXEJ8/q6EC43iGcZSYtwJSrzCFeTQSIixDAidrs4cjUnwhVDc2yzFZFo3a0K5XWhNgMLT8bAutWWGzFNZ0Fz0lPIi1dYZfh9ZJEmjO6jx+IUjFl+js+yU6+PVeE7K/YnfVbltRGs3V9mticTG61QRDP9rjIF4R4we/MxPDXbNe53yhDPZZ2RW65OHJfLUIn1yc5tm9c5HEuo42p6dOvsJVxiV+JIuNhFVGj8b+qiwnnbjmPmOquoR7S4oTmwiKpl7J71cUBWNeC8joVoUxBAbaTphIxy3yTFyuuDsMRqhqIqAj6d4xLPpJWx4xeLU37Ah+MVIfOauk71ylAUv/zPuqQE5K+fbcNXJAMDJ7/KdHGwrAbDHvqs3vXIkDcAok/14dw3HLKGe7rzrdV1rssO0SxXYujQ7ETEydNxNSGYHJfDgsGsKyvjYhUa301J1OSEu99ejR//axUAPbTMjmMVUo6x7Nzz8OkalNXGvyjn3f8xnp6zo971l1aF8dkmPTNO3USFeoy+/ICv3vqJTELjxA7I6Twvp02zLCqMRBl+hSyuHqJ+v7E42UMa1ZlwGdYw1eH0xroyFG/e3RQgb1ajWt1F1gCw/1Q1np1rFYtmkkNMJipMxHE5bTI9UWETgslxubDTjubwjcBx/W/NQbxi881JBvvcK9l6XAoQnJ22f+WZhXhkWa1j2abD9Q8m+vrivdh6tAJA3TYOqgYE/AryAj7UpLmYZhMxq0IXjiuNxdFpfZEXr4iqIeBToEg6LlG/2FXnSpEhAr54I45UIe6bbJOQY7OEbOwIEm6IqJrJlUTMqCJNcwNbF+OMROtDU+S4spVIsskjIccFnaLHWxU2/IQV5rK3jeud8jX2hTmiMjQlu4TrmCResiMTaUgEJ1DXuH5RBnJ8hNyAr0ktjsn8uNLpKjmYZ0QkUWE4qsHvI12aYNPx5vh9GNy9tYVQ5viUOuu4hMgvmYGA32YJ2ZSejYyIysgP+FAVVs0+1dWFIdsb35iOK3WOSxxTmeOIQhOkW2cvx+WWugQwwvAoFBfepTnouGrCatxOi8GmXqgxImmkM16XPDkPc7ccizuebxCuvICvjubwup9Tjo9cX+jGWDQZemQCt0Uw1ef1r6X7HPsVtnFcuqgwpuOK6UNU3DWpL0KS/i834HPk+F5buNt0nHWD0K8k27T4bfGEjpUnrjcdPDt3BxbtPJGRuqKqhvwcfUmP1MO6VdQl4+vDutW5XU5ExRQVRlNvnyk6dpiHTZHjOmsJl3hAbotqrg9xSvzmoONy0hEwJzZGyQT6dGjhWpbOPbcfq8S8bcfjjguOSw4Qmw6iGsPvU4wNifP15/9mFuZsPpp23fWCEdDZbRFMda79+r31OHw6XlQrj1XIQVQoB5vO8SsWU283juv3H27C+6sPJmxPLERSYrbEHoKrrrm0Nh0qx6/+u85y7M+fbMX1Ly3FnhNVdapTRlRj5OfobRXE2D6Pthui7FTqkvH14V3RuqBuUeed9E+xOJOSXk7VsONYovbFXyPgRLga27L67CVcthdXBjOQ6yNU2eKAid1nQ3FcYtG64qLO0DRGr/tmJtV5uHENoi5NYyzcccI03sgUEu2s0yU0To60YsgjUS1tvcvSXSexv0JDjo/g9ykJn9/RDO74U4HGgN8wznDimOo70+SxF6JC2WJWlNdGBOGSOS7FdaxPG1HN3ZBqtmq/tCjmB3ymUUe6+PLTX+CtZfsdy0Q8wGW7T9V5wQ1FNbQwOC4xf9hGGC7563xUpWBcYh+TvIDPVdeeDE56TadN6v9bsR9Tn5yv/3G4VSL3ICfimI6PWDaQFcJFRL2I6CgRlRDRp8axXxDRAiJ6k4gCtvOLiOhDIlpIRDcbx64ioiVEtJiIfpbpNpoyXRc/rlxfvK5IIBu7jV73zcRJm/glbMrS2fztFOJFhpsVlzmZmTFj3WHTXD5TSKSET3e88g0DAY0ZNWEVve6biVkbjgAAaqNa2vVd++IS/HtbBAGfAr9CCRdTEctw8+Fy9LpvZlr3qQuY2Vx83li816E8tTrcIK8vuqhQMXRcYiOjl9VGVOT6FcvGJ8fnTrjEPNM0Np/H1iMV2HdSz3dmigqTPCt5N9+zXQGOVYTSFtkm40pF+771wmLM3x7PzSfCuysPYOuRCkRULc7iUp6HtUZ/U7GKFBm8Wxj15Qd8dd4MO/lfiWcub1qSuYCYG5kUjTMaW12STY7rM2YOMvOlRNQBwCRmHgdgHYBrbOd+D8BbACYAuJ2IcgCsBTAWwBgAVxNRq0w2LmZF41QG5PspjghkK3KGeFHtBg7ieESN7cYf/mgzAP0F+dGbK+PqciIgry7cY5mYDiHt6o3aBJZ6qTJc4qURlm2f7onigt/qMeHWGhHOW+b56yyqzfHrosJE4ishuhIpPrINjWMRL/Idsuumwq0mmo/yWOlWhaQvdjbjpNqI6shxudF4Mc/u/n9rcNlT83G6OoLLnpqPW15bBiC26Uq2M5e7J34LDilVfPW5xJHQ5eFJd+787N9r8dTsbYhENRTkWM0WZLGa2OSmynGN6NkG068fCkAnXJnUPZuiQqmvshDD0ThD2tja4SgqbOR8N9kkXJOI6AsiuhfAxQBKjOOzAYy2nVsMYDYzq9AJVn9m3sfMKusjqgLIKG9qF5XIYOg6rjjCheyICv/62TYA8RNELCIas8klFPdpBwDYfbwKH60/EleXU5qDti0C5gsb1TgtS7XSqjB+8EY8gbQjlGCBSvWlrDYWQ/HCHaiM1VkTVjH+vPa47uIe5rObse6QY3RsN+T6FQR8iuNCb19gMxmCJxEYurjny4M6oSgv3sg3JcKViOOSynQ/LmdzeJ3j8lkJl98XN1fEPBIL9boDZdhxrNLcWAjjDtk4I6pqppj7aHkt/lYS82GKSJsIQezKqhOLIe1YeyCxu4XMkYpkmR+uPYSIquGIg14w/np9ftg3FvL+R2wyq0LJucWoqotsRVLK/Jy6GRwBiY0zLIQriYFFIv29o6gww3nJ0kW2zOEPA+gHIATgfwBaAhBa79MA2tjObw2g3KmciL4EYAczx2kWiegOAHcAQIcOHVBSUpJyAzcc1hf4w0eOxF1XVVUNBDTsO3AIJSUnzeObDuov1MFD1uPJUFlZabnHLbOq8IOLcjG6iz78m3fpnNbSZctxqCi2lzhWrU+O4ydOYt4XC/Rzt+9E985h7FyxAgAwd+5ci7hgzTG9X90KCeVhxshOfpSHa8BHdDHUwkWLcfCQ3o+SkhJUVlZC2bMBJYe3OrZ9wwkVszbWJh1bzZjITueVlZ1O6dmUGg7M23ftRonvIFiNQPAjNeEoWkRO4+D+08Z9DuKdDSGsORBN+bmfOHYEpbWMNetOw3d0s6Vse6m+4KzfuAlFpduwfn9sjJxgf6bJENV0Iwz7IrB9dwTRSAQVJ45j3YZSFJ7aZr1O1ZLeJ2SzHpPbVllVbR4/UVqGAj9h+bKlqKrWn2lpWQ0AoCoUweoVy1BdG+N2KstPI1SgWu4fMjZQBw7r702oRr/+l/9vOQCAorVQ9mzAmlN6P9euX4/wQX2BPlVehT//Zz7+sy2CC6Dro3bsjN2vd34IuwGULFqOo+0SZxpedjiKyppaACUo7uLD4kP689OjkFjPXbl6DWr26fWtX7cOfMiHu2ZV4b6L8/Doslr8elQeugRqzH4uPBjBqM5+U/92/MRx1JwmM5GpwMJFi9AuX39fDxqbrCXLV+DkDl/C+bH+eBQVpyPYsl6PQ7ly6WKoGse9ywKJ6tK0+Pmx4YQ+FqvXrEHkgL7G7NgX2wwwOO6azSf1axYsWoS2eVZ+prJCf8YzPp2Lwhy9faUOwQYaElkhXMwcgk60QEQzoBOlrkZxSwBltkvKjOO1cjkR9QHwSwBXutznRQAvAkD//v05GAyaZVWhKFrkunevYu0hYO1qtOvQEcHgMEtZ/soSFOSFkV/YAcHgUPP4yZUHgPVr0aFjJwSDg13rtqOkpATBYBCTnyjBmHPbAaiCr103BIPnAwCOFOzD/APrMXTYcAzo0hJf/9si/OcHY7DzeCUwfz5at2mDkaMvAko+R+du3VGYfxRtuw0ElizF+AkTzV0kAFSuOwRl9Wq0bd0SWkUI104cgHdW7Ee0QwsAuzHi4lFYVbsL2L8PwWAQJSUlONW5P4L9Ozu2Xdl2HFixDPLYOp43+2NA0zBx4kTryzdrJgqLihAMjks6TjuOVQAl89Gla3cEgxfgjU2fANAJscrAub17INfvQziqIRjsj09L1wMH9H5sOVKO8zu1dK54lq6r6t2jO/JO1+D8C7pg/fFKbDlagWev15/9E9MXAKhF3379ERzRHXsW7gY2bnLtt3imqaLfAx/jO8U9cf8VF1qOb1N2omzTDrRt2wl9+7RFcER3S7uJKOl9KmojwOxPzf+FhYXmNXnL5wIG8corKMQ5rfJQPHoActcvAXe+EDn5W4GyckQ0YPzYMYgs+Bxi/92xfVsEoqct93981hYAO9GmbXsEgyOQv6IEqK7CkSpGyzw/xl/YGVqvDujbXgXWrkX/Cy7E8F5tgTlzkJPfAuf26QFs22LWuSqyDdiux/77/pdGwLdgN3r374bgwE4J+/yD33yM2gjhwduCmHVyHRYf0glhYV4gznDkwoGDMLFfB2DWRxg6ZLAeWHvWTAy6aDCwbCnOu2AQ6EjsWd9y30z0OLcfbhrdE5g1E+3bt0dhbgC5AQWLD8dy2l08ajS6t9Wju68/cBpYsAADLxqC4nPbJZwf6uajWFW5FxPGXAAsmY+pkyZC+fxjTJgYdOSMXOuaNRM+xRdftvUYsGI5Bgy6CMH+HQEAR5btAzbpaY0I8XMqZ+cJYPlSXDxqNLq1KbCUPbdlMVB2Co+uZnQsysF/fzQW+09VAyVzHfvXEMiWcUaR9HcsgB0AJhr/pwJYYrtkMYApROQDMATAVqOO1wB8l5nTtmcd8LtPsGC7uw+HZvhqOcq8GfArum+L7bB5bV2w63gVFu3QOTXZWVSIHmsjKpbtPoVV+8pQXhsxFaqqxmY0aeGbIVKu2322qsMqWuT6URNWETBEY7J4MN3U46mK+UyrRYfTU5WClBsWZULEYX+HA4Y5uxh/ufzyp77AliPlsEMWE+X6FfgUBVFNw3urD1oMVESWACGSrclwPMNwVHPMtq1quoI94HM2Gkll+BOJmeTnF1ZjDsjMwK2vLsemw+XmfXL8Cnq1K0DX1nqqnxyfEmf48Zwh5ovlRouVn9Myz4wqIcrDUc0UuUc1jou9KObjoK6tMKpPO7TOD+B0TXIdl9P7A8SHrBJtiOUXi52baNx+837MLL8momH25qMoCFjrluuqMfXRyedNRNVdM7q1KUCHolwz1Uwy1wEnJLIqlNc2mdN37LWpA48vEq52B0prsGpfGQBkJEJ+fZAtHdd4IlpJRIsAHGLmpQDmE9EC6ITpfQAgounG+S8DuAHAFwBeMTi2OwH0BvCKYZ2YeugIA4fKarBmf5mjvoJZN8V1y4AcUCguujIz6wtMBnRcciZe0b7XFu3BtS/qNL06rCKsxnQ+IleReDGELisc1bB2fxk+3WhY3UVUFOb6db8cn4L8HB9a5gVsEaPd27/7RJVFwZxImb3hoC62Y9YTD/rI+cVNRX6/6VA5vvG3RQBiC5ET4SLJ58kudnNSjMs6mxy/u1VhuxY5APT2axrjw7WHkrY5XTjNG40ZCnQdhNMmIZWNQ2LjjNjv2oiKvIDPouOS4fcR3v/xWMy4S+eOAz7FZjwR++PUlzYtckzn2rCFcEWNa+IJsXjHerXX/QBb5QdQVh3BG0v2JgzNJY9LKKrh/749xOwDAPRoG+MaZOMmud1ORgzWtunXzN92HKdrIgmtCsVCnohwff+NFdh7sgpRTTeSyQv4sPz+qSDSncKdiMaR07UJxXJOmivRBLmvybIYizNTMc44croWC3ekrirJBrJCuJj5I2YezsxjmPmXxrHHmHkcM1/PzGHj2F3GdzkzX2mc/5px7BFm7m5YJgaZeXfa7QDjmmcXYtbGeCMGhh5w1NmPixFQ4ichA+5cWooQWWplx0txH9kMuCaimgusxmz2IWyG0okZW3zl2YW4wzCgEByXsBIb3acdnr5uqNnPqJrYOGPSX0pw49+XOsYu23+q2iRWxytCuHL6AvMcxdAtvLvqQFydqXCoczYfjTOYsROmgI+MKBPO5eJxHSqrwVvLdJGOJRKE32duVkSLDho6nqhJ2DXsO1VtciKZhNMCqRlj51MIqpMfVz05LqtJtIocn9UcXkaOT0FRXsDMERXwKxaLKNlYScxDuZbCXL+ZIFGUh1UN3zfmZkSLEb9PjPkciqi4cXQP/PErAwEARXkBHCqrwW/e32AafDj2S+pzOKqaMQ99xpyQQ0lFVM2UVKgqm20QXJKc5kYmzvaM4XkJAhDL88cNn2w8isU7TyKqclzEELeNy5f+bz5+u0ifo09+tg1Ld520tNPZHN6J44qVO82pRBbT9vN/98EG/O6DjfGVNCDOaAfkWBgTpwVDtzBy57gcUiwwEDBETXWFeKHkNOuxdB2S6CGs6nHDbFxh7FxnB88aISqMqJZ7iDGIaJrjxH135QFTN7B6Xxm+MMSs8ksw/vG5uHL6AnOxB2LclngRnTIMy4tkr/tmYu7W+JBOZZJewsnBE9AXVjl7r30nKNr6zyV7zUVHXpRy/Qr8Bscs6h776OeWNka1+iYScYcTp6caflz6wmUtSzXSTkKrQtnXKKIhNyCsCuPPFfNF3DegkGWuyBsrJ44r169g+9EKhCKxsGOhiIYDpTVGO2OL/ap9pXp5VMOALq3QyogcUZTnxz8MfzZ5/u49WWXxq5PvH4rq/dLbbrxfilWiEZY4LnGt8LmSfZxkKct/Vlo3YfkJRIXCPNxuwGFH1HA0t8do9JGz9Ke0OoIKQ3L69JzteOmLXQCAI+W6NaTTFJF9NgWSRXhPFIfVfqyhLG4T4YwmXIlM3jVD7Oc0z3QxohPHpSfiq48fl7BUkidu2NQLWGXmmhFfT26jMDuPcVzWNtZEVBTm+hAyIiEIiCZH1Xg9A6D7q3wgicfKayNG2+JFLFFVM++rsb442l9EGeJSsfBtOxIfekZ2vo6Z7lvPCfj1XFJi/N0IlxyNweJQm8CPSxCVSFTLmvzeiYvTWCcU+sJlbZd9V+6GxFFL9G8ifaFuW5Bj6rjsEONp7uLJylHVRuUFXui4YuW5fgXbjlbicGmNheMSOFIV2zTlGkQpFNUsYvNCySVA3rhM/HMJAGf/unBUQ67fZ+lDwB+bA798dx3+Olu31pQjlFTUxsTt9n45wW7sZSFcHJs/iSA2egE7x+Vzl+TIs1ysFYKzdBM/A9ZNi0y3nO4iTnWUCriIdxsTZzThEg/Ljf31K4pzkF2woePS4q7xKc5cmhMW7zyJJz61mpmLXeTCHScw+S8lACSxijTpqw2OK2Cb0OLFEG1w4rgKc/0Iq9YFISYqdOa4AKAwN7ajFPULrlNe7KNazK8sqmmIqpzQT0TTGGXVYZz/m1mu55yojCnkxcsYZeD6UT3M4yv3lsInibnE8xU7cSfOo9YiKlTgVxSDeFuhahqIgIjGaQUnTRf24LSaxiDoC5d9EUo1uGkqosI8Y2Hv2ibfVcdlR0BR3Dkuh8VrRK+2RrsVhI3Yh7Ke6tk1IfO+fpNwqSbRAXQHcwGnBXLqk/PM32J4RJxF/d76QXu6lE+MyCtRLSY2LDe4fHmjkmgTIJJuCsjjniwiuwAj5sclw0fuunN5Gpjvv/C/c9hkORGhRBmOgcRpTeySj8Y2zADOUMJlyn/Ff6dzICLAOxO1gC+eJWYgoXGG0P8IvLJwN6Z/ridRFC+9mLCzNx/DLiP4p5jsshNvTViFpjFy/FZCaeeA7G2pCkVRmGvoKBxEhUt2n4prt1Coy+eLF9gpdE9UZSkcFQxls/tU2nWiCre9ttz87/QOyYuiaKuqxcLiAEC/c4psVoU2nygjyKk8IuGohjxDjJQbiOm47E1QmZHrVxBVtaR5jLYcKce8/ek5yQqM+ONsy3+NdR2X30F36k9AuGojKp40NkVuosL9p6qlZ6vX1bZFLhQihFIIq5Sf47PouGQiZL/jlwZ2Qs92ukGETyE8V7IT4agWFwJJzHXRtbCN45K5GjeR/FrDOlOMjk78YnW8fPOIOO5IzK+QJDZ04rgSPfuiXD8euOICALrxh9w8k3Al2dTqzswc974oDvp24Rwt07jFu07ioRmbzPfTTkz1e8QTIV9SUaEOZ+mU9X8qTtbZxhlJuEy9jBhwh7mkMQxRoQs3RvE7Pp3jct6tahrjyukLLAuwHCxWKKPFjtBCjKJCHxC7tjaiQtX0CW5PBgjEiI2qsWWXWlodRvtC3UJO3nWKNj89Z3vccAgDBpk7ieO4pLGIqJqV49ISc1wATDNafQzip51on7wx0CNyx/p2xaDOhqjQ2kaBP860OhUD+kIkQvXk+BSTs7FbWUU1NmPGJYvjOP3zHXh1Y/3TtwOSjsthx53IEmz3iSo8bWyK3Diu8Y/PNV0MYhyJTjSSJXh87daR6Nux0MJxhRyMGATvmmNws4C+OcvxKzi/U5FJHGJ16A+v0CAsFbVRS0QKmeDI816Y6AP64g3YiZ/PaBcw9cJz4uajiMpSG1ElUaHguGRpgjvhUhQy6y3I8VnWgVgqkcSbnmfn7sDKfaVxmxK7jmvn8UqMfmSOpZ8Cbyzei/GPzwUA9GwXn5VBDiD+1rJ9OHK61lKH46xKKCq0bY4dovM0NM5IwiV2TWasP4fJqLHuS+G28PgVcuC4dEKy92S1qQMSECy7TLjkBVpwB05KUidRoaqxISpULOIAIeaQrZjkF7+sJoI2hmm3rONKxESI+zop32NWjFbiGbFwXJyQO7DD6VxBF4WDcSiqIspW8WVuQLFYdaaiJA5HNVOpnhtQDI5Li7dIVBl5Af3eryzcnbBOmQvs8+uPcKw8edggGfKci1kVxs/FRGMqOAw5yG0ixAwv9FiFyS4J9u8In0KWTY7Y4NwyplfcYpbjU8yNmk8hnN+pCBd1a4XKkPU9eduw9gz4Few7WY2lu0+hZV6Ma2ghbVRue22F+VtOmxMwLQiNdkmiQtUmbbl3aj8AMV1cjZQIsrw2XlQYiTLaFATwlSFd4sbELxEuXfdslUIA7qJC8WyPVYQwc91hS9AAAHHSH9kaNk6YYbEQdNpE69+qpltGvrpot6OUQ0Zi4wzrf4/jyhLE4i52lbuPV1kMDwDJj8vNHN4XLzYQHNeB0hr87J21ljIhRhFcy2sLd5u+QKW1mhmXzC57ByRRobQQM/TJHvCRhRMKSZyW+JYX4dqIZi6sAQeOS/RDRsiB6O4+oSvBBXGQTaE1jim4VWaoamLjDDvEevy/NQfN+sWLneNXMGvjEYx55HNENVgCm+b6fPrO1OiAm1hHjsMnE/aYA3JssR/Zq43Zj1y/1WLU7WUX4y3qqErgbyTQt2Oh+VveSGmsO9P6lHixb0K9oXFqtcGZJ4NMuFLdYyg2I46wqmFCvw64flQsXqRwBM7xK+Zi7FMIVaEo2rTIQUVtFJ1a5pl1VIV1sd7pmgj+vkC3kOtQlGuWF9riNQofMHkhX7b7pHEf4NK/zsPek9WmONguRrbn+6qROK7ymvi6I5qG1gU5jmOvKGTqivw+shAN0zjDZU7aN8/21D2KYn1H5fvbxXxy0xJxSKaxD9uCGTu0L2YO71RmvcIpHmpD44wkXCHVuhC/vGA3fvLWass5zPpi62ycAVc/LrELLq2yevfX2jiT5+ftMste2xg2J5HTYhtyIFwaSxxXRN4RWkWFy/ecsiQQVLXY7lN+aVnqp/C1Eg6/4Uj8/V/6YrfR3vio16om69g0RDQtZQs4APi/OTvw6cYjuPvtNVi+55RRp16f4CROVoWhajB9igCdY5J1ASFbdIsRPdtYjpfXRPG3kp2m42iuXzF1XEIsK/uv5AV8FpGom/2CWEdE7ijBgS7c4R6ppTDX2ehAlTgu+yYqEeESBPapz7aZ/nSJIBZKwXGlAiIrxxVRGTlGPi+7HsWnkPlu+BRCKKqhVX4AFbVRBPyEh64ZaNZTkOPD47O24h+L92J4zzbo1CpG2AptEdgv/O0nAKz63082xpJ9ijQ/Ziocoz3CodlOIGoiKsLGxrYiZLWc1fuoOwc7re7yBtEniazlcXAzh7cbfdjfF7/inicuZLtWjhridEmcTxbFn2cnRon8uDRm3CAZSbmlTmpInJGESywMiTzvNdYni6uOy0FUCI5xFvarXl+0B0DsJZDNccMqIxTVX4g43zDoXE2LHF+cDkE1jDMshMtmnPHYrC2WuqJaTPErK6yd+rlib6l5f8DKcfVu3wJ/X7DbJAIy4QpHNSzeqe96Nc0wh09DVHiiMmQ6TMf0kTGOy+wLM9oW5OAnk/vqZT5FT4KoMZbuOhknhgpFNZysDJk+YUt2n8TiXSdjokK/z/TjOrdjIYb3bGOOS1Rj5AZ85vO77mI9ZqCTKEYs/JVh4QekYs7mY7jh5aWufZZ303LqdpaMM+ypIhISLuPcEods0U6QfbRS57isflyxfF6x4/J8Fu+GeHeK8gKoqNXzoHWWuK5SKfq74JQEWuTGh2wCnHVHnVvErhUSDfE87/vS+djwh8ss7wBgFRUK/Zu8ARLOwW6BCUTHFZtoL2bl68xx2YmSXUIh5rXZX6meHkXWPshljj6qph+X1HZpxSI4EDLbtZb6NCQ0vmoMNK3WZAhiIU6kgGbTudehDO6RM8ROyf7urzcsCsU18o6qW5GCUETXtbgRrvwcv4XQaix8zRSTEF81uEucj4bdgEQQO8C620zkMx1yIFy7T1ThoRmbzIW8OqyiXYsctC4IYOb6Q3jSSMWSijl8Iqi2/oiFpkWOD1FN74PooVCOq6wnh5R33no/VIx97HPTcfR/a/T08nmBeI5L1RiTz+9ocbDO8yuoqI0ix6/gT18d5Ojv9MX24/jXUl1PUxOOcVzJ+m91Itd/X/zwbCzaeRJk9C1ucUtQp5hnbhmDf/zmKmtdguNSKKkzqoBCgAbrYhrwW9OiyJstMed9hkFRyzy/Pp6GUYwT8vxWQmXX/QjYJRUX924LlYFRvduiZZ7ffMZingd8Cgpz/XEL7oHSGvzkbV36Ul4TgV8hSx/CRh+deB/58fgoJircc6IqRrhcuCY7QbNzgvbIGfLak29sgs/vVBR3j0Q6KUHUCFadpkLx1yUyhxc+r3bU8ZXPCM4owjXusc/x2aaj5kRMRLg0hruokIUDMuMvn2zFcyU7zOMBaQGQIfJkOfkAnVOgG1i0yPU7GhSEo3p2VfuEVLXY/fp2LMTdU/qaL5SbE2BUMrW1OiAzvjasq+M14Yj7eIn2VoWjaJkfwMAurSxiD2EO7/cRru2fg/HntXe8hxtM03cbx8XQHZADfqsIxe6DJOtHQlHNog8U+crEGOYYOi4h2sv1x3bWUUNUeKC0Bp1a5sXixzHj4ZmbsGinLgaUHWCFkjqixpJzXvPsQhwojaUSEZAXBCHmO1YRwvZjlTFz+DREheL5l9kC0oprZq63WkZajTNcq7UgnuPSFzB5x26GfpLeDZ8R57Moz4+KUNTMPA0A113cA50l0WBewJnDsqPcFvG9RY4Pqga0KcjBo1+/yDxu55DthGvhjhPYa2RprqjV5/T7aw7hkaVG6C9V9+F0gvx8FCU2Z4N/KTGfuZuOy04Q7KJCxWZVKM/5sKTP/trQrhjcvbVZVhtV4zJ1C+5q+zHdPYTIOi4EB8Il2ukigbLrCoH4SCINiTOKcB0orcHcrcdw+VNfALByEHYIbsbxQUF/uAEf4Zm5O8xEj8wxzsK+G7ZHmrDUx7o4It8mDhTQTbYl6zm/njJdk8R++oIZk727RXmPyjouX6xOTeM4sYl5f1vkeRn/Xa1zLVWhKHL9iqGgtt5PhHzqWpj+FiwqcTwATLPmqMZQWRcPqnbCJf1/7oZhpljPrvMSeiXxzORYhaXVEbTI9UsWWIy8gIJDZTXoaBBDsUC/9MVuvGzo/GRupUriuITeYc3+MqyWTP8F5IXizSX7cMPLsQQJCrlxXO6vp9jBJ0vJLmAVFcY/JyciKXOcp6sjiKiaIa4lMPSwWfJ8F+33KYSwqosKw1F9UyMMDC7s0tKy4OUGUluCasIqPrlngvm/INevJ1jVNPNdvHF0D9w+vo/lOruEw2r6zqYf1NbSmI464FMcTcaZJZGapsfEFDh0utY1wj8Q799lH27dWlY63+Jbpn+rGqN3+xamHxsA1IStOm8gtql4Z8UB817yMuckSRCEzU306CQqTHXTkQ2cUYQL0J0uBewLmQyhx3LjuAgxC0Ch02BIprh2PxFjdh05XYs9J6osOxwNukilIMfn2KaasGoxCc716+kkVGaLFSJJOmPHUC+GCEyE05H1BRo7WzTuLFNNJ93jRlQH2S/M5LhCetBen23hUzU29AIUF3k9FR+nNfvL8IcPN5r9Ebt2PayU/sLI9fgU6+41P+AziZ190yAekSAAeQEFxytCeH3xXuw4VokurfMtote8gA+nayKmL5FYoEW5XCcAPGz4jUVVq0l6KKrFiYbk5/XR+sOW6NpEznMxIcflMrZOOjkgNq6Ck7TD0YpOMs4Y/OCn+HzLMTNCv3CDkOsSmy9hzSk2DgFFkSJaENoXxrhkpzkJAN8b39vyvyaiolf7WMT3Fjk+RFnXHweMDdkfrxmE28ZZr0u0eQVic72bsekScQTl4f37d0agVX4Avdu3MBf8xbtOYtq7sSC8xytCyPP73Dkuu4GF7RnYLZzl5xs25ldVOBqXhVmkXpLnl30OEMiq43IUFSKuHgGZcMkbdo9wZRDyAjJnS3wwVwE9coYzxwXolEu8EGK3KMzhAafI5Ho9P/7XKgT/UmKtzXjB8myp0cWLXRtRLWbAeQGfSYTknQ4hNimddnYigKjguGRrLY1jx2WR4caTOuEqzPXjc2O83r6jOK7u6nDUDHIbf0+xq7Y6cFaEoknFUm8u2YtXF+4x+yP6qzFMHZdVPm/9nxfwmW2yR4Mol/Q/BX59vI8aPlc5PgWdWuZZCZdBAE3ul4Clu6xWj3KHNh7SYw+GVc2SC+wvn2zFwN9/YmmLTJTsc06BswNyYuMM5wXSbasgb7icqnWKrEA2a7TPNh3Ff1cdgKLo+p2wkTpHoHOrfOx+5MvQWK9PcFbL9pySJBUKnrtxGF67daRxD+c+WiJoqJo+f30KHvzKAAC6m4TGepk97p+Mwd1bmb8f/mrMslFIH1oV6D6PfVrrbdUtJxU8cOUFJjc25YJzsPZ3l1rE0gKmf1Z5LXIDPlcRfrJU94rhX1gbUbFyb6nJceUFFIQ1PYHn0fJQHLEQm7VEBhtio2HeC/pGWyZwpqjQZSMvnrMcqcNuWNOQSHhnIuqT4NM90bWNhWQ7LAHNkMm7PSgCxUXLZsR27/aX323CCifOqKpHsJZFheJlromo2HY0Fng2L+CLGWf4ZY6LEnNchk+VaLfMxQmOArBGzibAsjsGgBx//GJSGVJNIiGvu8LQwa8oRj6uWOHgP3zqalIudIKiH8I3RN7RRQ1rJotuwabjys+RCJe0KSiSQ/4Q8NzUFvD7FNNIoTDPr6diMZXqsdBQwndMIeBWI1SVuTA4dCiqMv7y6Tbz/5Hy2jgRnpOzaqxPzulyxFA4zdGIqqF1gVO4H2eFvVioFXImFk6GIE6c2U+mnGeKUOWo7GJHT0Q6MfEplkXWJFwGxyUy8zrRrdk/nYgfBs81/9dGdT9IIjL7UWDouKKqs+GAwPCebU0i2dYgUkDMzULME1GDiCPYsSgPY/u2i6vPzs2I+Xu8IoS8gNUPcP6242Z6nUQxEIGYef2/V+zH1/+2yKwn1+9DWAU2G4Gp7Xole5ojIN5i0K7TItJDj/3LaJveL2t/LH1GzLhHdk+xc38NCffc9joWAvgYzlFChgO4yOF4oyLVzLWJImcIHVeOTSwoLBHlYwL2UDEiRpvf2J1GNUaujeOS8wKV2UyE7cYZgOC49N+qphsX2GX2EUnHJevNZB2XbIrrVwjhiGbh+Oy6lYCPUB2OGg681uDDIuCuT6E4MV4qEBsNwR3JVmVRjlcK2x018wwrN8B6XBgGPPq1QZh0fkdsXmVNul2U5zc4B/2/qul6EyA2bjLxEec5dS9RYNVtRyuwZNdJy47XTliIyDTTlyH+6VaL1kWiNqKha+t8y7wR+L9VobhjIh27m0Whk9WfQjFHeIGLurU2Nw9CH2SHLimIEZmfTO7rGvzWaaMpO2sDuijddOAXVqe5flRG2MjqnHjnL+Zza4lwFeb6cbwiFItAYnQxLPXJKTSZ/fGL974qrKJTK8USVeKJz7Zh7f4yXHdxj7j1wT4HTPN64/kIf7Acv4KaWjYtWO3EQrR72EOf4d6p/XD31POcTfml3+JJbz9aKZULyUP8XJZFhbIaoSkbZ/yRmW9j5lvtHwAvuF1ERL2I6KiRufhT49gviGgBEb1JRAHb+UVE9CERLSSim41jfiJ6w7jmvlQ7JMRFiXZhQEzHdeh0LTbb0k2woeQSL4lsQWiaFdsWgKjKOKdlTJQgdF4Bn56MT1ixyVaFYjLZX968gA/MxgJgCxslJlhEY/z5m4Olshj3I9otT3LVIJyiTfJ1Ww+VWzguu49JQY4flaGomctJJpaqJnRR5JoB2Qli+OyEwMpxsZGFV94tWvVouqWg/tsSZdzYGX5pYGecI/kQiaqK8vy6JRfHXtjWxjVOO0mxGDgl0EvU5+fn7cRv/7fR1WIMiBlM2Im+bPFoR01ExaCureKOA8CGE9b5tOfRK3CeQQzcRLfOokIyRLax+/uFAzJgigq/N743rh0Rc1DV56DPJDYdWuZJHJd1yVl34LRzgwA88c3ByA/4UBtRLb54gL65CKnAugNlSd918QrJHKrYnIhnLaaUbJXrxIXaaYI8NvtLazB781HpXHcu216Pz9gMCP20EAXn+HRR4fI9pQASzzVx7zi6RWR7h+Lbx1L/7RBiWkAPVC3gZGnYUEh4Z2Z+FgCIaKx8nIguEmUJ8JmRufhSIuoAYBIzjwOwDsA1tnO/B+AtABMA3E5EOQCuBrDZuGYcEXVKpUNiUT23Q2HC82Tu6Uv/94W1DDGrQiC2Y9NNfuO5FkCfUN3bxJTHgkDpoWH0CWG36mPWd7OhqIZhPVqbx4WZtsbWYLCyrFpVrU6/uX5dLxbVYpNMDpekMZtiHZ9C+Nf3RgEATtRoOFxaaxUV2haXFjk+w6rQZ0ZFEIiqjKjhx+RTCFuOVODBDzeZ7XWDm/7GwnHZ/LgAfYGXX96AL8ZxyS9SkbEzjN+h6rUV5QbMxUK/F6PIEK06GQy4pQEZ0bMNohrjsgHnxO5tjGVNWDWfkRyI2E6gAgriEoYCsWftpM+SuRA7nKRS4lnI4z7m3JgozNU4g63t9Rthj8y8Uj7C/VdciEHdYkQ0akTYEPM9X9JDykRm1j3j8fptFzv2AQCG9WyDji1z9ejvIsK/6eenj7HG8Sbvdoj3V+YQxNiN7NUW3xzeLaY71jSLWb8d9qG99oUYJ293dbE4nbtsSgRErEIRuEDoT/X8f7HzOhTG69kExFqhMVvePVlSA8RE0LLIOJGOS9NiARXWSVmp04mWk2mkeuf/EtG7RCRm51MpXDOJiL4gonsBXAygxDg+G8Bo27nFAGYzswpgLYD+4phRPhfAyFQaWhNRMfWCc3DVYGuQTCLrQ9HY3dlRWBWKByMmMiNmRZVrc5zUIy8IM/SY75FfUQyfJC3uGmbGyaowmIFXb429wLrnvi6+KspzlubaI7LnBWJR5AVRlV9U1SYqHHNue0y9oCPyjHNbWDgu67jk5/hQFdJjzPnI6rCparEMyGJNEkFqR/Vua6aBsMNNzGAm2lQIIRUGxxUrV2xcnUy45I2BGGv7rvCnl/Q3+ytvBDRmU1zqtBA66YVa5Phwfuciwy8s1kixK62NqBYxZp4IBGs3wiBnc3jxz8nFoiaiIj/Hh8nnd7S1M+5U/TjiJQVXXNQ51gZHwgVz7goERPQShquoMKoZjspK7Ln4TcIVO//8Ti3RRYr6boeImF4b0eKeZ560IUnGcYlbypvNsuqweWxs3/bSWLM5/532KvZNhCyt6Wgz3pC5FzdjmlgbyQzxBgB/X6C/Q3pszth5A7q2QrB/B+c6JCmG3WBFnlrkoPlhaQPnVCbadcf4Prhzkh7JJp1oOZlGMh2XwCYADwH4DxH9LIXzDwPoByAE4H8AWgIQPPRpAG1s57cGUG4rdzpmARHdAeAOAOjQoQMKAJyqCqP69EnsNKzBBPwEzJlbghzj6e7aHUZFOPaQSkpKzN+RSARVVWHUVBuWRuEQSkpKsGN3GKeq9WuOHD1iuebYiVpz4sgLjRYNIxTScGj/IbQI2MWLKr45/XMAwOqlC3FxJx+WHVFRfroUO3eWgwHURoEcBQhrwNKlS1BTW4vKSg3HT9Ri88ay2H3UKOYtWAQFwNLFiwEAK5YuRmGOQXQrq7Fzu+53cmj/fpSUHEV5aS00JQqAcOp4zAJz6eKFlnaGaqqx4HgVpvbwo1YFjlfH+rdqzRqUh4GTJ6KozdXrAoDZn8/Fkl3VmNKhGl0KCYcqGT8bnovuLRUoILy1xTmu3+EjutOwQvo4L1owHwcOhs1ntOmkitKymNPtF/Pn4fQRXc/D0djxU6WnzGsAoLKy0vK8ak6fxDJjPEtKSnDiZA32bNNl/gf27UZJyUFLu8pPn8anc+ZajrGm4ujhQ1DLFBw9HrNgrKzRdUxzv1iAw4eNCOThsLlLDIWteqlIqBabN27A8RNRSxsrKnTXji8WLEK7fOtCtGVHGH4Cpnby43MA3YsUXNs/gCdWxOu3SkpKsPWAfs8Vy5fjUKFe176d22NtMOa4jA3Ho4hEo5g3PxYLcfWqldidSwiFw3j6f4ux/Vgk7jo+FUakVu/LV84NIHxoCwyXImxYtxaRA6npRk7UaKipqcXM+ctx5FRY78cpfdN0cMdm+IihMmHViuU4UOC+B99Vpl+zfGmMOxrUKoydx4F1GzZBARCJ6O3dsieCY9UaSkpOon9AxWU9/Zb+tavR8OXeAXy0O163GOys4Z0KYO7cudh0pApbjujvgpi3Mvbt3okSNWYcUVZaizVry2FLX4bq6mooxNBYr2vRwgWoLIt/xgBQWVGOkpIS7NwVBqRManv27EFprrz2aAAIBw4cQEmJHjJs0yH9xlu2bkNJ7W5LvTW1IWzdrEtRWlcfMC0wT5eeRGMhVcIFZl5DRNcCeBnAhUnODUEnWiCiGdAJkLDBbgmgzHZJmXG8VioXx8Q1Oxzu8yKAFwGgf//+LB5nz26d0allPrA9ZukV0YBRY8aZ5pyrI9t0p+F9ewAAwWDQPNdX8gkKC3PQtnUudp8uRUF+PoLBILbQTrSuCuOasS0xe/MxBINDzWte3L4ErQsCWHv8iKWNBfl5COREsWRfxNgpxWLLKYoPpREFgIZgMIhgUM/m26F9O/Tq2QYa6+IH/8HdCIdVFBcXI3fNIhQW+tCqTQGGDO4FrNKt3grycjF0xMUILP4CY8eOBUpmY9LE8SYn9fjGLzB0UF9g3Sqc26cXgsF+ePfwatSWHQMQRbeunYGD+wEAkyZOAGbHshUfqNSJyLm9eqCsOoLKoxVAqf4IBwy8CCcqQzjhP4mWhacA6MRxzLjxwKefYPCQoVj01bbodd9MTB47EgO66Ez74qr1WHw49uIKtO/QETh8GAGfD2FVxeRJk7DTtwtz929GMBhEzs4T+GD/JqC8wnxu4zXGndVhfOv5xTheoyfnLGzZGjh5ynyuJSUlsWc8aybO69UNY8ecC/+qBeh6wXBsnTUfDw4fCqxcgvP6novghHOBWXpEgutH9cDGg6exUesIILbY5+QE0Ltnd7RtkYPd4WPASZ1Y1hpr1LARo7CiZhdwYB8UxY/8HB8qIiEj7EJsYWnZIh/9BgzCqso9CAZjnHfB6nlAZSVGXDwqLu/SgspNOKdlHsZceA6woASj+nXBnd8YjL+u+iiOowsGgzix8gCwYS1Gj7oYfToUArNmYuhFA7Dn+s7odd9MFBbkW94BAMDWY/hs7yqMKh4DfK4LP4pHjUT7wlz4F5dgxq6IWb+M9Yt2otX+QwgGx0MU7TtZDXwxFyNHDMOwHnF7UEccKqtBYPUi/G1trXmfNvvLgGULMWrkMJy/awk2ntQwdkyxJV+XHe0OnAaWLMA4470AgAH9+uL9HZvRr//5yPUrWHVsHYLBILbN34n88hCCwQsRdKnvG9Cj0m+TjBsA4Px+5yGwczPGjJ+AVe/OhbEEIhgMgrYdB5YvAwB8eOc4nN+5yMJ9/nPvClw4oJseP3HdWvN41w6tcWp/KcQeOzhhAsaM0TD4wU/j2tW2TWsEg8XYyDuQu28nwqpOjHr26qWb8m/aAADwkQKA0a1bNwSDuntB6eoDwLq16H1uXwRtvnCBhbMxbPBFwOrlGH3xSFzYpSX+0eU4Vu45hXddRz27SFVUeDMAMPMpAF+H/uxcQURF0t+x0InOROP/VABLbJcsBjCFiHwAhgDYKo4Z5ZMALEcCHKqMLQS5fp+jf9bB0pinu8z+xsG4VLDCwiBCFiHarW+iKsfFXRN1iKbYI8oz2DEElBCPqRpbYsvJsmpVs8bHUwwRnuzsKfdP1WJRCmQz/96tfEY7Y+eK8m+P7G6eB+hiGsXQcX1jeDdMOb8johrjF/9Zhy+2n7Ao+GNRFPT/H945Dhd2bmmWu0XxEP2TRXPfHdcbWx663Oynk79T+8Jci5gsmZGIXyHDQhF4cIa+mxQiInv9bQoCqA6rcTnYFCIjWoLmqBsIRTVTKKMy4+/fGYm2LXLi4ka2yiUzT5gMMRbxCU0ZH284gjzJFSCZ2EaUWiKcy4Y/rjoutum4FMNogy1WqzKOna6NMxsXVouJfK7ssMfvA2KiQr9C2HhSmIwnrlOMkfy+5Of4MLpPW4zs1cbiGxhRrS4obnj/x2PjjvkUMi2H7VXIz3ZQt1Zxa49P0fXdUVVD/3P05fOZ64fihZuGW/JxKQrQqiCAPu1boG2LHFsdhlha4zg9rZNxhrU8vp1mGWJrghj/if06pJxlIBtI5sf1BhG9DuBhInrd+P0PGOK5BBhPRCuJaBGAQ8y8FMB8IloAnTC9b9Q/3Tj/ZQA3APgCwCsGx/YhgIHGNYuZOWFa2rA03nkBH7421BqXb0CXlvE6Lmkii4CsgGycYXv4hmOyT4kP7RLRNMfwNfLLYn/QzIgLAfX8jcPQ/5wi04/LRyQpU2NEdOGOkyahuHOSbm4cjmoWs2ZrkF02Q0DJKS6YGQN7tMLI3m0BADeN7mm2WRhsvPvDMQB0nY1P0b31C3J8huJYH/jjFSFLinFhQi1214O6tbL0380iqUe7AnRva909KwqZynS7cYblPKn+ZITLZ2wImNn0dzONJ2zPtkWuHzUR1dH/yq8oCKvsqBuQn21UY5x3TiFG92kbZxrdqYUSl0gQMJ6/Et/f4xUhHCyrsRg9CMLjtpSIoZHHSJ7/ToSPDB2XfH/hwKxpjFvH9sLXh3WLu+6NeXuw5UiF5ZiYqwEHH0E3iPBeF/dqiy8P0m2zxBh1kwyhZMMiJ5iEiwg7//RlvHDTcHx9WDe8fUcxerZrYYlIE1E111iFMpw2vYqiZ34OR7U4K003P0+5jarhYlBgRLzp27EQ7QtzLT6jot73fjQWM38yznp/U58abzxmCfnkcP+Eflwc85WTnY4bkW4lFRU+YHwTdKu/b6dSKTN/BOAj27HHADxmO3aX8V0O4EpbWQQ6MUsbuX7FzMcjH5MXEuHHJfD2sv34ypCu4t56GB4RJsd41MIx2ckCTLcadOK4YpGmbx3bC3e/vSbWR+h+MWuk2GOXD+yMzYcrDD8uRq4faNMiBzURVQ/dwjGLJOEr1rogYES51uO2me2WZpaqxVKyiJ22eGFvm3IuOgb03duNo3ua1/gUQtsWORjcrTUA4HRNxIxw71eUuBxC8rsc1RjtWuS47srcQv20a5GDL345GQN/94ljuUL6WHcsysULNw23lFk4Loe4i5Z6DMIlEkgCscXbHk6pKNeP2ogaR2zJ4LgW7zqJ1fvKTKMFgVA0lmlZz3RMpuGNHfbU7UAsYoGdYMrcrF9alMUY+BXdIvO8joXYbgQFVqRy8542jj1ujBysCoUxjDjSWwrDlAhy5IxUIRbzDi1zcfkAnXD1at8C14/qgbYtchDs5kfJgWjS0EMm4fLplq+XDbAaKMuEwcn61wlOhN6vkG6+HtVgtxdJ5t8o3CEiKpsWkzkORiKiL60KAsiNWNsp5onGHDfOVif++PubVoWO5vCxKELyWDsZeTQUkpnD7zU+ewDUSP/3Nkzz6gbZEm9s33ZY+cBU+H3WRZZhnXzycxZnOb1kRPoLYN+ZRFTNkYsQkTMCPrKIyn575YVgZgzr0SbO8s4U0Rjm8P/+QTG++OVkk9CIW9dEVJT8PIjvjOkFRXBcCqFlXsAUrQkIp1BI/Zajf4tj8kvLAFb95hJzN18dVs37+I1FwCpGst7PSfwkUCyZYg/oEhuXZCk3iGLWbENtuhL5BU8WYsev6IFf5UDGblmcC/P0lDPC0kvAR3p0FRF30L5x+e3/NpqEQjW4J/keOT7FFDn5fYSy6ggufni2Wc7QOVO7VaHw+9O0GKclFjQCoWuhgv/8oDguWoJ8nv23U9/FfJPFdX4fmbHuImoCcbsNbg7ICa8xnk84GrNeLMz1409fHQRAF7Gmc28nXzUg5q8GiFiFydvotCHzEeFIeS3mOeRIS5b6RmyGI1LAbTlTgtN97e+KmCcyhyQgHmHA55wdIJFVocYxf1IL4WpEjiuZqFAxPj79L5E41kDtqxOE6OfVW0fika9ehHaFuXFcks5xSWI8afcgdFnxD19K+mfnuLSYubMMv5FNNaKyhbDdOLon2MWkWOzcNU0XFXYsykOnVnmmjktsikb0aote7VuYaSMEJwTEB8AUYZkAmEFOFYrZHokFUG6j3Me/fHMw7pzc1zCH1xyD6spSoGTJJcf2bY8/GllxW0j+ZuJlcBd5UZwrgIBYqL87rrd70D4DChFIEbtJK0Hv0dbKRbTI8TumfFHI6jpgj922+XC5ubgw6+cHLLpEwrkdWpjtOXy6FscqYhZjIr6k3ZRatEXefJnjQYK7troRyP12+u20SXPz4xLHZYKSDHLIp1Qhno9w3o9vX2r1mBs1l6bKGziRuqUuEH3ccPC0hasWesJE9YrIGVGNTYMqk3AZdd3/ZfsG11qHiE2qsfXZsuETKtroKCo0vp39uGJrpdMa1xhIJiqcA+sSMAeGjQCAydlqVH0h/HEm9Y/5uNh1BczWHZh990CI92cSE8KnUJyeIpqA41I5fpETu1mnRVikp1c1m38NAQBDY92HSLakEsYZbguDLCoUE1x+YcVYuIlJvjG8m9mfsCSSlCe6XTSZLLmiyG1VIEWxT8ZxKUSIRDX48uPPE335zZUX4nhFKGE+NpPjkox0FCKs/e2laJlvfS1y/Iqhy7I+cyKy+PHomwWrAcdKI8u0TyEztJOAvMA4EQ4RscC+CxYclwhbJeoH9CmiGvpb+SpxH4u+xIX7kq9hWP2R/EZ0eHPTleJC5uTHlQxCfBqOOr9bl/cK4NbL3R2YBcQYuYkpFbLpuOqY7denEL4+rBuGdG+Nw7uPYvx57bF09ykjW4DOtdTCWRIg5mI4qplZHXINnbSwUv3ehD5x95PRqaUgXNb5omoc47gUBUQO74Ug3E7GGVJ1ljXMsScNg4SEi5knNVRDMol+58RHzYjjuDRrSgarF7l+nl1Jq3ukk2FVaBcVOotNxH39PsVKKKHvhPSApNb7kOC42NZGU8cVP2lN4wwXYiGLxEQiPzkFu5mzSuLUHHfsiiCQRlJGY6K/8/1iVO9dZ57nxhXJ+MmU8/Daoj0WYplIvAgYDsiacz/lF/bJbw12ifyvw+cjU68gxFd+RUErh8C1fkXRo3Tb06YowNeGdjUzLsvP/2vDuuK/qw6aOZtM4wTZ0pNjY6QoMXENG/OMWd9I2O9bE9bjFF564TkmcZZ1WKoxP5xEhWKeF+X60adDTA/sHGQ3Ng/l8+RYhTkpcid1EhVKBgtO71aun3CRoX9NWI8D0ZYhb+BEpoO6QBFSCI3NiB65fgXL95zCjuOVCevVxe4i4LURwSXJpsAurjSzedumvcpsrml+HzmK2cxYhS4hnzoW5eKKQZ0tx5uyqPDhupQ1Jv7zg2L07VgUd9zv0yNLVBgmzRpbB16e1MwAKF6soXEskreTjsvp5fIphCjrRFBs+KZfN9SM9H6wrMYxG2pU1XRLPalhMZ1DPDcoQjG5ieeE6G77w18yoxXIO02nhYUd5G0+Qx/gM17SPxk5qS42rBLl+yUjXMKcVxYVuukhBHSrQnY8T34kfp/iaCwj16MTi9gC4ZZeXlFi4bM+u3eCpY6OUhxEub9CXM1SHfZzVGnz5FcU0/JMzC3RNsHxHK8IoTaiorQ6jMHdW1lya5n5tqAvgPaMykJAJO6//g+XWfJiOeu4jHBlDqJCoeNK1diiLqJCYVXoxnGlC1fzbUlkHo6mrrd79RZrMB+fwVFHVc3cPOT6fbjp78vw4vxdCetSDCIdjmqmjl6InlvmJLoyBkG4hPWzgGYQUiDGMduR0KoQuvvAszcMsxxvsubwAH5MRPON0E2WbwBfbYgGpgu3HZhfIbz8xW4M+r3uuCe4JycYdCsuOjQzu1sVusiwdcs7WDiu0X3amfqqRTtPxokdCcC7qw5g5vrDFoIquDQ7twgYhCuiOka0BmCGk7EG2KW43ZncB6fI3TGxiy4yrQo7i+OS6bgEdv3py5ZwU2bz3NYYcieKbvEEneCjmFWhLGZzgl9RTFcHOXK5QmSKFYd0b20GsgViJtp2qz954Zb7IbIGA1brsFx/LJTXyIdn4w8fbkJVKIoiY1duH2MLxyXnYCLrt4z2hTm4uFd8Cg+xsRGZCEQ7BScWTkNUKPqfTvJBwTWGovFSiXSQiPMGDG5V4rhS5Qon2cJt+RTdWCeisuluI0sTxp3XAbeM6eVYl0gk+vKC3TheEcLuR75srk/t81Nrj1hHdE5dDvcmGWe46Lg0qf/xZfHrTWMjmaiwdQO1I2Nw2+X7FLKYnQPuogOdMDgZZ0gcl92Py8UaSefO9LpkrkaeB3IqBL1dhFIjXYU1yK7OpWmIX7B8pC98CTkuW38UAkSEGdEf8bL8ZHJfTOxvfTHFfQDB0bi/UKGomtJkt8fo65MkOLKo0zEAaup0Sw8KbHAOwufMzaHWp0g6JJtetI2RKuPbI7vjix2xMFaCoJn6M6HjieOuY+0R0BcPnxnUWdbNHiitRt+OhaZeUFw3f9tx/OxSPQ6jbIgjt9XefoEVD1wS5zCst00YZzj3PxKNFxWKeh66ZqDluKIQXru8RVIu3Hr/GIFMxUTdDV1a5eHN20clvI+ZdUGtu6hQBJpWNTY3DwfLYkEPzinKxQNXOgcdkh3r952qtuqLU5zXczbrYds0jS2GQiJgN6A/B9IIdusle6Zvgefn7URtRHPk0pqsqLA5wu298NsWyHj9kQ4R9Vqh2CIZkx3HIllsOlxuTVWRSMdl+FWYQUcDimVi1tqckOUJIYvEFELcQmKepxBCEfeXTnNczGIcV1i1tuGnl/bH8J5t4uoxA5Yq5Oj4KUyVq0LuhiLx0Bux59ErMLJX24RnJiJcaXFcCplGBlGN8aPguZZ8TdZzFUfRpB45Qx+QsKpZOK4im1OzGTw4Tp9pLQes8y03oFicVw+U1uChGZtM8aq4/rdX6QsiQc9jpqefl8eDjDY7j4cTQSNDhBbV4h1qiWBwQjZfIuPduUnyB6wrRJvKa6J1NpgQ9Yzt29613B45Ix1fM6uxiz7uEU2LC3AAuIui9WtjiUT72HxQv9kvELcRcMKxihBCURUaA0O7x95deZ1SyMWq0GivfUP+6MdbzOvsaLJ+XNSYQsw6wq3J8RaCbBXDSURKJlrimH6N/sIKPdnpmpgFmZwOoXOrPFPcQKQ7g4pIDUC85d7FtsU6aptoZhthcAhuxhlJOC47B6mLYvTf+YHUwlYq0gLspHe4flQPtGuRg6pQ1FVsacd9l1+AT+6ZYDnmNvGcOBSBdAjXBZ1bGjoiWEyQneAjcszRJS/m1WEVP5l8Hv5m6AGEniLm9G1wXC4LsMxZR9TYfNMdkGMc14lK3VxetsQEYinVici0KrTUn2Dc3CDmXlRli9GOKHMyh9d9/DK7Hz5RGcpq7idJUmj4Y6Y/RuJ3QNF1kroY2NrmROGu5PBWv7z8fEvZwPZ+143A9OuGAoiJpstrotCY0a1NPt75fjEAXVSqaYxzO7TAk98abPZVfl8Y+tx00nHZ+ynQlDmuuQBARC82QFuyCvuLrBMhQ4ZcmCulcOe4Fy+mLNe5NKHnELEP2aaonveLSdj04GXG1fpCEvCR2QaZuBbk+DDCRrgiUvxCi5WdweE7LUzJrApVh375lFiCuQu7tMSq31zieK3lGolDEIuJnIsK0A0KfvrOGhyWxCSJ0KoggP6d4g1qnEAJCVdKVWDPo1eYxiQihJRTfSJRo6I4p2GRX9w2BQEoCqGf0Y8WtpTw4sU/XuEc2duJ4wJ0Py45kodp/WkzPBG6I4IzRy7mXDq6CmHdWh2OYmiP1pYQQwrpkgInwpUOcUwV9eG4ksFiVZguxyX1VTiYR9UYx/V9yYQ90bgoRKgJqwi4bAjdcNXgLtjz6BVmxJuasGr6m47s1QbfHdfbNM748qDOlrXGQqQMv1Z3whV/rDG5mmQjVElE/wJwlYhVKMUsbFawTxoR1gnQo2uIYLdyrDJRLuLxacwgAO0Kc9GnQwtc9cwCnKwMmabf4hY5fsUkEj4ltpDkBXzY8+gV1nY5LCRWjit2XOwM2YXjchLdCDgZS9iNM+xBO50QMyaI9fGFm0ZYzjl8uhbltVGLM22mIBZgR6vCVCmXBMUQjzjV9+Fd+kLtU5w5LtGWZfdPwbdG6AGJhS+NSHFut9p81zCdt0N+nkKnpRlKdjkQs7ypEfj7d0bEfPpIbGysDsii9nR2ySKCS2VIRVGu34zsr9ejL7T2+JyKQrioV+vUb5Ii0gnOmy5kjU+9/LgM0XFE6Lh8ZCFsiQxTfIq+QXAK1J0KRhhi/Z/9ew3+sXivrssiQr9zCqEZ5vBivorNqvy+MOK5exluouTGQsInxMxXAvg59ISOv7F9mhXsi7ZuaKEfK8jxmXEMZc5EyHBLqyM4VFZjcxjVv2/8+zJjl+YcSkUhwroTKnYer3Jsl5Pfkrz8Whx8ATMUVJzTMun+Van4cQn4FLi4Q7ojJvIiDO3e2lygGwrm+DvoC9IRFcbq08W8yV5CJ8JWE9ZNWzoW5ZkvdotcPxZMmyQtEsb1xrj9+ZuDk9Yv67gKcvTU9eKYyD4tLzpTLjjHvJ+oxa5PEet+OhyXcECuCkXjRKkK6VandrF3q/wArh1bf/2WHXU1mEgFiiJHzkjPglE2nFEM4wyZ45Kfqz2yigyfoqAmEr8RSBVTLzwHA7q0xPI9pQDkjYruHqFJFvKixZYQeIZe1I3jckJj6riSrjrMfAjATQ3QlqzCLm+WdVz5Ab9pihxRWRLpxc4/ZWQqtr/3mw+XI6KJXVr8g0y2UDhbx1mNSARMq0IHjksOsmuHWPTiuDRJRJIqZPPtgV1bYd3vL0tyRWYhuuA0rnVguHRrzKi7z9ljXx+EczsUxuXDapdHloDEMrq1KTCtDcXzE8/FNXuttFjKZs0FOXqcxOteXGKUseXbDidjD0Dy40qLcOljWulIuEhfaOvIIaSLrBIuSccVddjgJcLLN49AZSiKu99eY/o2Rg2OK6CQZV4lGisfEWrCWlpiSjvkTYQsmdCYAWYoijWElGohXHq/k2VqltFkOa4zGbKOqzDXh1DE8KGRPOfFc+nVrsDwhnf2Z4iq8abmAPCHqwdgYNdWccdlJDPrlucRIRar0EnHFXLRL0RUzZGzk60KU8WhMj2pX2Ol7bZzvDLqxnHp4bvcCNe1I3sg4FNw95Tz8PnPJgIAlv56Cv4yMR+3j+/jeA2gc15fHdrVtNIS4y/ERS1sokenXGYaMwpzfagOq1i2x5rR262voho95FO8rDAtUaHBiVSHo3GuAkInk4iLyCSyKiqUrWuj6ZnDT7ngHDOihLAyjUp+XPK8ys9JxHHpLiTppH2xQyaMsvWtaui4RFOcnI2TGWc0NZw1hOuVhbvN36pEhB752iBcNrATwqqG+duOo/iRz81dj3jJO7bMQ20kpvQErDt+IRe3O+99Z0wv5PgVENzNg512wPKCYw/bw0hgVRh13rG5hV+SrQpTRWxhzO7UGXNue/RpFX8PcX9HEWsd3jlF0Y0zknHGrQoCpo/ZOS3zHGX+cXVTLKblLklUvOfRK9Ay3xpaSn4+e05U4X9rDuocV65zgF+3NBmmqNA+Psbp6RgKK0TQoIeYshMuAlAb0RqM40oWCqxedVMsrmNdfMbMsF0kxG2aIc5XLM/hHCnKSnwdCmoj8cYu6UAWMyrSe6Iaflz2R6/ZRIUBX3xghURoypEzzhgM6d7a/B2OamYE+Osu7oE2BTkIRTT83xw9LTvZiJOey0uXW8vm4ALCoKO4Tzt8p9hKoITi121H73RYXoAtmUulWIV2wmGGfHLYLUZdrObqQrhEXqREPilO2WHTxd9uHIbfjI5/0TPPceni4WxYwvkUxPnFxO4bv/EQeGr2dtz99howM1rk+Exdmgw3TkdzIVBO4buSQYT3qomocYYFRPoin00z9YaCkGRoGmPX8SozvFfK1wt9JnTOUI6cIT/nMee6+5IFfITqsJpWLEc7LDE/ZVGhpj99Uw9qNEneaGumqDAdHVfjIauzjoh+amQwBhFNJ6ISInrFSJMin9eDiD43wkl9yzjWyTh/HhG9kuxeHRyihcv4tZQSQCdcbCqsRc4jYdZtPjyjSpEcTlgVAlbz3E2HyuH3KWhXmIs/fMXqKGgngnY47SRlYiL/FlaFKseU7WY9RAi7GGe4LcxiR50OxAKWSFQ4pHtrtHYIVpsOiMhxR2dGOc+kqFCNd7DNBHwOEeXN+9qen3x/kT1YY13kWG0Lq9W9bT5uLu7lWK+8Y5ZvXTduVG9DbUSN57gkw6bmDsFxHTDcW9q4OKInAwuTclWDqgljDb3ska8NSnhtwKegOlxPjkvifsV0OlUdxscbjlg4LjHT7NyV30FqlAhnpI6LiHIBDDZ+jwSQw8xBABthy3YMYBqA+wFMAnA7EfkBXA/gFWaeCEAlImdzLAP5fsJXhnRxLRcOoTpnolosBHP9Ck5VhU2zY/HwhEJbhN2Rdy1iZ5TjV3DHGytdF82YrNm5XY46LsiLD9sLHTOcJjLOiGrOOi6fkv5iL3bYyUSF2ZrTpiNthowzRMipbLyEAR9ZTNkt97Xd0I0QFzjkApty/jmuptXywjO2bzsM69E6zVbHIDjymrAa58cmlPjZ9K9qKBCJCCoaerUrcHR9SAW6rls3h49q+roijMKuGuy+NgGCcEXrZYTixHGVVYUBAC/M22UeE1Nv9uZjeOLTrQBEtu30rArluJ0NjWzOutsB/MP43QfAOuP3GgDFtnP7AFjHzCqAowD6AtgCQHilFgEoS3QzhYD/+/ZQ13KxM2zbIscQ+8X8GsQi8JdPtwGIKS3FA87xKzEujWLEDIC5MIndmh2JdDKAi47LwnGlpuNSFD3kk1O0imgCjivdnbiZ5j7JC5YN0RsAkyIms8ZMFbqoMDtOs045vARS4fCY9YgINWEVXVvn41rDV+yCzu7O2vKG+f++PRT//dFYs650IUSFtdF4M+1Euc4yDZELLlsw8445OOmnA59CCBjm8FFNT5cTy0OW+HkHfISqUAZ1XMZP2XmdbN8AMP3zHQD0dcWvxESFz8/biSue/iLh/caf52wh2xDIihMOEQUATGTmZ4noQQBbAXwdwLPQE1C2sV2yFcBEIioBMNooXwHgISK6E8ByZt7rcJ87ANwBAB06dEBJSYlrm6Ia4+vnBbDgYBgLFi3B0WNhbKFTaFm6Le7c2lAElZVh7D+0DwBw8vgxrFdP4GCZhryqoyip2YUyw7pOhtP9t+/Tw0Id3L8fJSVH4+9VUx133b59Mcfd7Tt2okTdZ/ZB0xhV1bUoK41arjt6OISychVHj1SjpOSkpb4jVRp8ajjuPrv2RBAKR6Ds2YCSw1vj2uaE8rA+sdeuWY2qPdadaWVlpXkPNaL3O9EzSQa5PvP+If3+x44ejSsT3KnTPZ3qAoBIOIwTpyLYuqUKJeU76tU2O44cClsIhnx+bU21ecytLlXTsHXjWhw7FUZthNGV9SCq+3ZuQ0mVc5oMwXHZ61t3NOp4PBHKQwyNNRw/cRKbNlRAObLZLNNYz3jtVJ8SijjOp1TGzAmRsvhnXZ/67NhfoSGqqliydBlqq0N1qnPayDyU716LLcdVHDkWRUtfFHt37zQlBAu/mJ/QAGjHoSjKq0Jo7Yu/f6r9PHY4tm5s2bwFJad3oLe0cdq1axdKeD9Y0yCTr5KSEuzYHUZFuYbTtRpKSkrw/rIabDmlWc5pSsiW9+hNAP4l/jDzGiLaQERzAWyAzlXJeATACwB+DJ3TOgrgZwAeZeZ/G/qxCcw8X76ImV8E8CIA9O/fn4PBYMJGTQVw+VPzMXjYEMwv244BA7ogeJFuyvpTdTumf75dV6ySgsLCfAzo1x0zdm1Bj25d0LtLS5TvL8MFvdoiOLI7Xt+zHDhxzFK/0/33L9kLbNqAXj17Ihjsby2cNRMtiwoRDFrj9C2o3ATs0a0g+53XF8FxvQEYzo6zZyEnLxcdO7RGMBiLWFFSvhE7qo6hZ/eOCAYHWOrbdrQCvnXL4tq3d9EeHFmzFVqvgQj2tyaJc0NlKAp8/glGjRiBQd2spv4lJSXmPQqWfI7SUI3jmKQKuT6BU1VhYO5n6NqlE4JBq/SYP5kJwPk5ONUFAPlLPkeLwhwMHNAHwSTinFTqk7EitBXYrRPDB664AEHJfL5w9TygqhLBYDBW16yZ1v4AmFB8MR5aMh9FuX4Ei0fgyZULMWrYYEzo57zb1WY5j0Fo4xFg9cq0nsepqjB4wWcobNkaw4aeZzUumDUTBbl+x/r+u/Ww43xKZcziMGsmevfuhWCwX2bqc8C2oxX429ovMGTYcLTeux7B4Pi06xCtoK3HsLpyD7iqFAMv6K9zPJs2YPKkSQmvr15/GK9tWoOO7dshGLRmdU61n4urNwN79Q3NhRdegOCQrgCAe0v0OXFe33MRHN8HysKPIYceCAaD2EI7cZJOofpkFYLBIF7YtgQ4ddJyTlNCtkSF/QH8kIhmARhARHcx84NGRuWTACxvKDMfZeZrAHwDQAjAbuhbAuG8chJAYoeoFCEMMSI236uCHF8skZ+xS7ltXC98du8E5Ph0k2mNYW5UUo1AIM5yExU61SM26V8a2AmTJIdV3fopZrFkrycUVR11XG5+XEodrAqFbi+Z/85NxT1x/age6VWeAkwdV4bM4fXgxNmxKpTnl73+VMyONcMcHgAqQlG0MxI/FiWJVpKpnviIUBUBlu4+5SjCqqsuKF1kOxeUsCpMNzK8E/Qgu7qoMDegpCy+DviUhCHbUoE8x5yD4ho6LodrNWZL0tJsOnxnAlnhuJh5mvhtWBU+a4gBVQBzmHmpUTadme8ioiugh5ZSAUxjZiai5wD8g4h+C51w/SkTbcvz6yF05GjugJUQiDUl1+/DeecUxXRciOm4xOmbHrwMl/51flIdl5tOI9EC/Lcbh9vqItOqMC5yhmFO6zTx3XRcQoeRDsSYJTOD/sHEc9OrOEUkCxab7hqnkL5RycbiaE/aKSPVcW8nxY8UBCsZ4UrmYpEq5DXcaUPkFHg4G8iavtSA+V45xPNMF7pVISOqAjk+HzQtkvwixN6rVBNzOt/bfb7px/Rvp6kucr+JDVVjBRhIFVkPNMfMIqR00KHsLuN7JuK5sD0AJma6PYV5flSFonFRoH0JdjqmVaHkfX5zcS/0aFuAghw/2rXIcSdcZsp057odFxkXnxuxM3TjuCpq40PzAHCNDOFT0l/QYmbQDRujUCARxwWkF9IIiFkVZuM9lZ+RneNNxexYId1wqFPLPBwprzUNY0Sur0TX2VEXwxV5jJ02RA3lfFyf7MepQBFWhfVIIikQ8JEZ5eSHfiXlDYqQZATqMRHla53WGyfjDAFN0zmug2U1uuSmiVuLNu3WZQGFuX5U1EbjMp0mWvAExyWHfBp3Xnszm2kiD/JkVoXpRIAQdakax10n5pmTX01CP6467MTX/u5SdCjKTf/CDECM/4drDyUsT6e+rFkVSi+/fX6l4i4j5pWwTBSLW8skhMtp7a2TqwDJC2F8pQ0W7inLi6iwKoykGafQCbJVb65fSdndRHBa9RIVWkTTsXqevX4YgNha4/SKaBy793urDmZ9s1BfnHWEq0WuD1XhaFwwzUSsccCnIGx4wzs99ESLnihxFRU6HI+4mFCLhUxzaK+YqE6EK5E5/MJDUVdfIze0yq+fc3F9IBbT0mpnEUy6Ej+fQbiyEVLITRSdKoTYprJWtwgkImx56PKkuiVHUVAdImfIhMtpIbMnl8wGxp/XPutm12IDF02QiDVVyNfn+JWUJRpiLaqPqFCO5yjTv37n6P5WCTkuZpOjj6j1C/bbEGgceU8jwq/o3NPKvaUJRTkycv0K/jxvJzq1zMMlF54TV55IDGNyXC4rqtN975zcN2GqcT2/ly3kk1F/voMIL+LqgExGfc0jsCaQnDCly3ERwTUfV30hFqP2hTmYckFHS9lD1wzAQQeXCifIvmCJcjoJOE3lujxjn0X0FL+QpdKW+uKN747K+j0URTggx2ctThfyZjjHr6S8YTB1xxkyzpD7IdrkZpyx41glaiKq2Qa/Tzk7jTOaMgI+BWv2lwGw6gqScVwAcKS81nFRuKm4Jy7o3NLxWqHjcrcqjD/WuVU+Og/Kd22PbpxhPSb+26OOA4Ljcri3FBy0uSA54UqvPt2qMFsOyHqdv7z8fNMiUGDy+fEbIBkimkNd4LT01ck4QxoSJ5FXusFomyr8igKV9fekviIyeUxy66Ljqsf93Th8M9uFi3HG1CfnAQB+MuW8WF0G4evaOh+v3jqyzm3KFs5CwhV7ap1bxYK4Jlq4chxCqcj46tBu+OpQF+9+YUzgUn26CyaRkRk3Lsiu/t9JjOQWi0+IoLJttZVJJOOo6qLjiqrO6WrqC7HhqQs3l+f3WaJTyEGik8FJ51oXUaFcTyeHyOYNZVWYbeihrdhIaVQ/YixHr0hLx+UTEWkyb1WYY5uHbk3K9Su4ZUwvVIdVk9gdLKtBv3PcI7U0Fs46wuX3EapCUQzu1spigZdo8baaNad3P1PHlYYfV7L6VIc0JTGOy8mq0FnHJXZl2UwZkWkkTcyZ5o5VtyrUssJ1ig1PXaRPdglAOroXp1PTiJ0ah6euHeJordpQxhnZhl8hk+Oqr45LtrQM+NLQcWXCOMOBy9J/i3moH2uTR8Dp+OuJ9I3vQzM21bkNDYUzY+algYBPQUVtNM6UN1WOK90cNKbfUaYIFxGiDubwiYwznKwQAeArQ7ugXxsl6w6emYToxpu3O+s+0jaHp+ylNRE73bqMr0yA/98do/HXa4ekfK0j4aqr3BHu4tmGMofPNnw+Pb19VKu/cYYsKmyR6085EG1Mx5UZUaGTYY049r2LcjH7p9ZoPaK8HtOkQXHWcVwBn4LKUBRtW1hTF4gFr01BAFdc1Bm6z7OOHJcJkQqSWRXWhYOT84IJiCYWOOyM3RIl5vp9+PWofDM8SXOA2AgM79nGsTxd7jFRmpT6wuS46kK4pGtG9WmX1rVuetO6wq39ZwrHFVB0XVRErV+QXSBGuIZ29KF9YS4uG9AJex69Iul1MR1XPUSFEmsvE2BTZG0U5/oIHR1EvyLgdHPAmTHz0oBfIVSGHDguY+W//4oL8cdrrLlzLBxXmvdLalVYBys4VXPiuPT/TsYZTqLF5oyF9012tWhLd8csCEQ2rArrQrhaFwTwf98eUq/n5XTluPPaY+sfL69TfW7tPxOSSAJGenvW35P6GmcIwleUk149gYwQrnhiJf920nvJUCg+A/LNtsS4TQVnJce192Q1TlWGLcfFQ3da+Cw6rjTnVTIH5LRFjyDHkE8xUaGTObyzqLC5omtrZ+7hqWuHoF1hekkAzZBcWeS40lmLpl5wDr4ypCt+8Z91yU92gVtX6irac5uiZ0IuLkB/53WOK3PWpemHUqu/VaHMLbbIjT1rpz65md2HotZ0Nd3a1J1TzybOPsJlLCYVIWs6dPFwkz3kuhAavV7n8rTfE3KOqaYawmmnXbCapVh8TQ3XDO2a9jXieWdjfITYKJ05Ix5ruk7hTnVkCm71nSmES2zqwmr9gtzKSNdvTvahqitkg4w2LeI3cHKbHINuE+EHE8/FiJ5t8bN/rwUQW7+aGs6MmZcG3JSfpjlqAkddoG6ivUTX1cmq0EHHFUqQ2O9/aw9hz7HKtO5ztiCm48p83bl1EBUKrmhs3/T0WjIySbj6t1EwtIezPvEiW1qb5gyFgNpI/Y0zBNLluBJFbk8Vou1bHrrcMSxYMmKqENCzXQt8fXg3zP6pHia2qYqDzz6OyyBQT9mstBJxXDLqOq9dg8LWwY9LdbAqDCXYoa/eV5aV1PRnAsQGIBs6LkGEUt1E3//lC8zILPWJoJDJnvxqVD7OcVDkp2Jw0JzgI11Mlpshjquuxnn1mYbCOMNtTUlKuKTr+nYsxH9+UIyBXZvm5uSsI1xiBzHuPGtIJVPHlUTGnC7rTEmU/+lOVKHjsu/iE3FcL908AksOlaZ3o7ME4l3NplVhqqLC703oY/6uj67lbBALZxoKAaGI5ugH2ZCoj2hOiBvd1ho1ia27fZ6O6NW2zm3JNs46wiU4LrtVmtitJAsuWVcHZLfFq04cl4NVYSKO65ILz0GFr3mYuTY0smpVWI/IGfXhm84gO5wGQ60K7DlZhY4tGyfrgUBdIpwIJIr+DuipS+KuoZhYsznNm6YpwMwixGJij7MmOC0nGfeQ7q3xzeF6SKf0HZD174xGzuB48/baBByXB3eYHHEW3loR/qcuHFB9mtOcFqCmhJKtx+slom1siA2S2xrlJCqURYHZ2LxlC1l9SkT0UyMDMohoOhGVENErROSzndeDiD4novlE9C3p+DQimm1cl5G2il2J3XookY7L71Nw9ZAuRpvSu18yq8K06zNSMNijWI/o1RY92hakV5kH87lkRVRo+s+kf2191hCPcNUdmbIqbIwAFMk2SHaCtufRKzBIIlxNPXmkjKy1lIhyAQw2fo8EkMPMQQAbAVxpO30agPsBTAJwOxH5jWsKmXkqMweZOSOyLrfQNyIaspuOyxT71EG0B2TeqtA+x64a3AXzfzkprbo8SFaFWVjsxULQ0FljPLpVdzR2Oo/66LiSLSVOa5fVUbn5zJxsktjbAfzD+N0HgPCoXAOg2HZuHwDrmFkFcBRAXwBXAWhHRHOJ6LeZapSTnBeIRc5wy8cjkualTbhE/WmkNUlWoVM+Lg91QzatCuuD+hhYeBxX3ZExjquOm5Xu9ZCaJFqbXr55BL4+LD6DhSX9STNaU7JinEFEAQATmflZInoQwFYAXwfwLIDJAOyOIVsBTCSiEgCjjfJzAJxk5klE9DYRDWPmVbb73AHgDgDo0KEDSkpKkrZt8wnd8dh+bmmtztCtXb0SZTt9qKystJyzr1zXIa1ZvQrlu1KPQLDxiH6/9evWQT0Yf93RI0dQUpK6xZ8ajSIcZWzbugUlFTtSvk4JRVByeGvc8crKSih7NjiWpQv7mDWl+tzqOnFMT+a4ZPFitMxNfcVPp23r1q1F1OHZJ6rr+HG9XXXpP2tq1sctERLNtaY6PwR2bNuKksqd9a4nGo2m3bZXLitAaP96lOy3Hk+1n3uNNcrpXD+Apcfi6zt8MBZBaMvmjWhxqv7rQIOAmTP+AXAbgGuM3wuM798CmAtgOoAHbeefA+B9ADMBfAidA3scwGVG+fcB3JDonv369eNUEFU13nTodNzxExW13HPaDN58WC+bO3eupXz70QruOW0Grz9QltJ9BD5ef5h7TpvBi3aciCvrOW0G/+q/69Kq76Lff8Jffvwjfn/1gbSue3fLIcfjc+fOdS1LF/Yxa0r1udV191uruOe0GVxaFcpIfXYM+cMnfKisOu26fvjPFdxz2oy02sSsz6kvPf5R2te5oS7PINFcyyQyWd/jb33GPafN4Blr6/8u9Jw2g7/+5McZaJWOVPt5qKw6pTkj1/fEp1u557QZ3HPaDP5s45G02wZgBWeBhiT7ZIs37A/gh0Q0C8AAIrqLmR9k5knQw67PtBHPo8x8DYBvAAgB2A1gEYCLjFOGGMfqDZ9CjtmKY+bwzrvuukRBAFKxKkyrOgC6zqQ5sfVNGdmMDg8Aq397aZ0is7cpSC/mogzF03KlDRGburF1XPVB51b5aTuGB6R5X5/UNw2NrKx+zDyNmS9j5suhG2M8a1gGzgEQZualgG5paHxfQURzoXNbjxiUfAaAC4loHgCFmRdlo60CSXVc/sTGG26I6bicy+sUHd7BOMND3SAIVqZC/WQKv7nyQiy7f0qdrm1iXWkWyDEGLVPm8M3lGQQkt6DmRLiy7oDMzOOMn0GHsruM75mI58KiAG7NdvsEEkWHB+qeW8lMJJlBq0LNIXKGh7ph38lqAE1vPPMCPtfULcnQxLrSLCDS2GXCOOM7xT3RKXq03vU0BOT1rpmk4gJwFjogu8GfwI8LkFNUZNqqMH1CqGrNW6TRlLBsj55Gs6lxXPXBmdOThkOu6d9Z/9H7w1cG4oJ2zSM7tDW7eyM2JE14hMuALxnHlSB6fCIk8+Pq0TY9/Yfw42pqHEJzx5mUaPMM6kqDIabjOruWRLGOXD24i2tW8aaIsy5WoRuShf4REzpdMXAiwrXu95eiKDe9R0Cky6LPpIW2KSDdUF5NGWdQVxoMub7M6riaC8S69PR1Qxu5JenBI1wSbhjVA63y4/PYyBDx51JFLORT/GrilDMnlRqjDhmQPXgQ8GZG+hAcV8B/do1ec6XTzbTZ2cHDXx2UUFTw6b0THHMTJYRpDl+PhsnVkW6c0dQiPTRXPHv9sMZuQsbhTY30YYoKz7INYXOVNHgcVxrod05R2teIaZEpnRRBhHxqnhOuqeGKizrjiovOrKSI3sxIH0oS698zFc21vx7HlWVkOm1GzI+reU44D9mHNzXqhjYFAXRMV6LSzNFc54rHcWUZmee4yDEflwcPAt7MqBtW//bSxm5Cg8PjuDw4wrQqzCDHFVGBXH/z8BPx0PBornoLDw2P5jpVPI4ryzCtCjM0Qw6f1qOG5/i9PYcHZzTTtchDI6C5bnK81S/LiHFcma3XI1we3NCntTc3PJzZ8GZ4lmGGfMrwzqZ9Yd2jh3s4c7Hn0SswpUdd/AM9nI3o3a5FYzehTvAIV7aRJK1JXeAjT8flwYOH+mNQt1Zpp0JpCvAIV5YhdFyZzPfkGRR68ODhbIZHuLKMZEF261OnBw8ePJyN8AhXlpENHZf30Dx48HA2I6trIBH9lIgWGL+nG1mQXyEin+28HkT0ORHNJ6Jv2cqeJqJ/ZrOdThg+fHhG6hnYtRU+uHNs2sF5E8HjuDx48HA2I2uEi4hyAQw2fo8EkMPMQQAbAVxpO30agPsBTAJwOxH5jevOAdArW21sSGSS1ng6Lg8ePJzNyCbHdTuAfxi/+wBYZ/xeA6DYdm4fAOuYWQVwFEBf4/i9AKZnsY3NEp6o0IMHD2cziNPNjJhKpUQBAG8y87cMUeGdAH5t/H8YQHtm/r50/lMAPgVQAmAtgJsBbAXwZwAPAfgjM9/ocJ87ANwBAB06dBj+zjvvpN1WN5Ggqqrw+epvcl4bZRyu0tC7Vf3qWrlyJQDglllVKAowpk8pTOv6slAErXPj/XsqKysRDeQ6lqWLyspKFBam166Gqs9rW8PVlWiunUn9bKj6mnLbJk2atJKZR2SksnTAzBn/ALgNwDXG7wXG928BzIXOQT1oO/8cAO8DmAngQ+gc2B8ADIUuKvxnsnv269ePM4ny8vKUznv11Ve5X79+PHHiRP7FL37BzMyRSIRvvPFGHjt2LP/hoYd57f5SyzUTJ07kSCTCzMy7d+/mG264IeV29Zw2gy/67cyUzxd4d8shx+Nz5851LUsXc+fOzUg92ajPa1vD1ZVormUSjd3PhqqvKbcNwArOAg1J9smW1Kk/gB8S0SwAA4joLmZ+kJknAThpECiZeB5l5msAfANACMBuAL0BPAJd3DjZbrTRlPCLX/wCJSUlePzxxwEAH3zwAS644AIsWLAAixYtxIljRzN6P0/F5cGDh7MZWSFczDyNmS9j5suhG2M8a1gUzgEQZualgG5paHxfQURzoXNbjxjE/Gbj+u8A+JyZ05cD1gGvvfYaXn75ZQDA73//e5SUlCS95qmnnsKECRMwZ84cAMDixYsxdepUAMCECUFsWLsqaR379u1DMBhEMBhEx44d8cUXX7ie6xlnePDg4WxG1qPDM/M442fQoewu43smbFyYdM4eAHH6rYbEvn37cPPNN1uOde3aFW+++SauueYa3HzzzTh58iQuvfRSrFixAmVlZWjZsiUAoGWrljh9+nRcnVOmTAERoba2Fn379kWPHj1QUlKC1atX48EHH8TYsWNd2+PRLQ8ePJzN8NKapABBVJzQunVrAECHDh3Qr18/HD16FK1bt0Z5eTkAoKK8HEUdusZdN2fOHPj9fuzZswcPPPAAAODUqVP4+c9/jn//+99QEoST9zguDx48nM3wLKsdcOTIEQDArl27wMwWMZ743HDDDQBgEqiamhps374dHTp0QHFxsSk2nD+/BAMGD0t6T03T8N3vfhdPPPEE2rZtm/BczwHZgwcPZzM8jssBs2fPxueff45OnTrhpZdewr/+9S9Xjuuvf/0rZs2aBU3TcN999yEQCOCqq67Cu+++i3HjxmHyJZehwzmdkt5z4cKFWLhwIe655x4Aut5syJAhjud6uw0PHjyczfAIlwNuvPFGXHvttSgqKkp67u9+9zv87ne/sxwLBAJ48803AQDlNRHsOVllKZeJYK9evfDPf+oRrY4dO5ZS+zyOy4MHD2czPMJlw5VXXglmRkFBQUbqK8j1oW/HzDkPfnDnWAQ8JZcHDx7OYniEy4b27dsD0CNnZASZD0ziWRV68ODhrIanLmmO8CiXBw8ezmJ4hCvL8PRRHjx48JBZeIQry1CIkJNhnZRHCz148HA2wyNcLqiurk7pvA8//BCjR49GcXExnnjiCQDAoUOHMGzYMOTl5UFVVdTUWOt65JFHMGHCBIwcORLvvfde2m27/iuXm7/lEFUePHjwcDbAI1z1xODBg7Fw4UIsWrQIH3zwAU6fPo22bdtizpw5GD16tOM1P//5zzF//nzMnTsXjz32WAO32IMHDx6aNzzCZUNtbS0uv/xyTJ48GX6/HwMHDkx4fo8ePeDz+UBE8Pl8UBQFeXl5aNOmjes1gYCeq6impsax/iFDhuCWW27BoEGD8N577+GKK67A8OHDceDAAdc6P/jgAzOqR35+foq99eDBg4fmB88c3ob//Oc/GDduHO6++24888wzuOCCCxAOh3HppZdazvP5fGZYJwD4+OOP0bdv35SclgHgRz/6Ed577z1TvCjj8OHDWLJkCVatWoU777wTK1aswNtvv4133nkHU791G7Zt2YRgMAhAD0/185//HFdffTWuvvpqPP/887jkkkvqPgAePHjw0MThES4bDhw4gKFDhwIAhg0bhhUrVuCaa65JmN5k165dePzxxzFjxoyU7/Pcc8/hkUcewZgxY3D99ddbyvr27Yu8vDx06dIFF1xwARRFQZcuXbB582YAQL/zLzTb89prryEajQIAlixZgrlz5+Ltt99Oo8cePHjw0LzgES4bzjvvPKxcuRITJkzAsmXLcN555yXkuCoqKnDLLbfgtddeQ4sWLVK6RygUQm5uLvLz8830JzJIsqGXf+sJR51x9OhR3H///Xjvvfcs13jw4MHDmQaPcNnwla98Bf/973/xpS99Cd27d8evfvUr+P1+V47rmWeewe7du3HbbbcBAF599VV069YNX/rSl7B27VpcdtlluP/++zF58mTcddddmD59Ou6++25s2bIF4XAYv/jFL9JuoxNZevHFF7F//35cffXVAJBSAkwPHjx4aI7IKuEiop8C+BozjzOyHQ8CsAvA95hZlc7rAeA1oz3PMPM7RHQVgPuhB036DzPHK4OyAL/fjzfffBMVFRUp6at+9atf4Ve/+lXc8dmzZ5u/KyoqAADTp08HADz//PMJ61ywYAEAawBeYXix7kAZ3v5glnnuLbfcYv7+zW9+k7S9Hjx48NDckTWrQiLKBTDY+D0SQA4zBwFsBHCl7fRp0InUJAC3E5EfwFoAYwGMAXA1EbXKVludkKkgu5muq2/HQnRrl5pIUsaknu0cjw8fPty1zIMHDx6aIrJpDn87gH8Yv/sAWGf8XgOg2HZuHwDrDC7sKIC+zLyPmVXWFTsqAC2LbfXgwYMHD80ElEjhX+dKiQIA3mTmbxHRAgB3Avi18f9hAO2Z+fvS+U8B+BRACXRO62ZmXmyUfQnAV5n5Dof73AHgDgDo0KHD8HfeeSftto4fP97xODNnzMghk3WFVIZCSDu1SXllFfwO16iqCiYlrmzlypVpt62yshKFhZlL4ZLJ+ry2NVxdZaEIWucGstquTNfnta1umDRp0kpmHpGRytIBM2f8A+A2ANcYvxcY378FMBfAdAAP2s4/B8D7AGYC+BBAH+N4H+OaFsnu2a9fP84kotFok6yrKhTh2nAk7etO1YQcj5eXl7uWpYu5c+dmpJ5s1Oe1reHqenfLoYzVlQiN3c+Gqq8ptw3ACs4CDUn2yZaosD+AHxLRLAADiOguZn6QmScBOGkQKJl4HmXmawB8A0AIwG4iKoJusPFdZramEG4ApBqr0I4///nPGDduHG644QZEIhHHuq6++mo88MADAHTrv549eyIYDOLmm282z3n99dcxZcoUBINBHDx40Dy+41glDpUmHo5bbrkFO3bsMP+PGzeuTn3x4MGDh6aIrFgVMvM08dsQFT5LRCXQdVVzmHmpUTadme8ioisA/Nwon8bMTER3AugN4BVDzHYrM+/ORnuTYfXq1ViwYAF2796NJ5980vW848ePY+7cuViwYAEee+wxvP/++/jmN79pOWft2rWora21HLvpppvwxz/+0fx/8OBBzJs3zxKZQ0amvLTefvttrFy5EkMuHoUbvvmNDNXqwYMHD9lF1mMVMvM4ZtaYOcjMU5j5T1LZXcb3TGaexMxTmXmlcewRZu5uXBdsKKLlFKtw6NChGDp0KPr06ZPw2mXLlpmhmKZOnYolS5bEnfP000/jRz/6keXYW2+9hfHjx+Ott94CAHzyySdQVRVTpkzBXXfdFZeN+ec/+SHuuecejB07Fg8//DDuvPNODB8+HK+88opr28LhsGlS36NHD7zxxhu49tprkZeXhz59z0tlaDx48OChScBzQLbBKVbhrFmz8Pjjj+O6664DoMcZ3LRpk+W66dOno6yszIyE0apVK5SWllrO2bJlCzp27IjWrVubx0aMGGE6I0+dOhVTp07F0aNHEQ6HMWfOHEybNg3/+9//8LWvfc28hgBMnDgRTz31FPr374+3334bTzzxBCZPnmw6Qt9www2WYLs5OTkoKSnB/v37cdttt+HrX/86brvtNuTl5aHM1k4PHjx4aMrwCJcNTrEK77//flx+eSwH1nPPPed47b59+0x9VHl5uYVAAcCTTz6JBx98EFu2bDGPCeueQCCACRMmYPv27WjVqhUmTpwIAJg8eTJWrFhhnn9B55bI8ZEZVb5z584YOHAgAoGAxXLxzTffRN++fQHEdFyhUAi33347XnjhBRQUFODVV19FRUUFooHc9AfKgwcPHhoJXloTG0SsQkAX/Z177rlx5/zoRz8yxW7is379eowcORLz5s0DoEfOsOfj2rt3L2655Rb88pe/xFtvvYV58+ahvLwcgG6Wvnz5cvTq1QtjxozBunW629uaNWvQu3dvs46AT39kbvEME+EnP/kJ7rnnnqQiTw8ePHhoyvA4LhucYhXa4cZxAcCECRMwbtw49OjRA/fccw8APXHkCy+8gE8++QSAbkk4e/ZsTJw4ES+//DJefPFFKIqC6667Dl26dEGXLl2Qn5+PYDCI9u3b49577613vw7s34+33noLW7duxWOPPYb77rvPwkV68ODBQ3OBR7hsSDdWoR3Tpk3DtGnTLMf+8pe/WP4LLg0Abr/9dtx+++1x9divkfH888+bbZOD6YoYh6+99prl/AULFqC0Nmxydx48ePDQnOGJCj148ODBQ7OCR7g8ePDgwUOzgke4PHjw4MFDs4JHuDx48ODBQ7OCR7g8ePDgwUOzQlbSmjQGiOg0gO0ZrLIVgNMZqqs9gBMZqgvIbNuaal1AZsct023zxq1x68p0fWfLO5rp+vozc/rm1/VFY4Skz8YHwItNtT5kOPR/htvWJOvK9Lg18flxVoxbE38GZ8U72tTHLdXPmSQq/LCJ15dJZLJtTbWuTKMpz4+zZdya8jPINLxxyyLOGFFhUwYRreDGyBLazOGNW93gjVv68MasbmiscTuTOK6mjBcbuwHNFN641Q3euKUPb8zqhkYZN4/j8uDBgwcPzQoex+XBgwcPHpoVPMLlwYMHDx6aFTzCZYCIRhHRIiL6goj+ahz7BREtIKI3iShAREVENIeI5hPRDCIqMs6bTESLiWguEXVzqNuxnIjyiegIEU11uGagce+FRHSRcexXxr2XE9FXszcaqaM5jJtxnIhoLRHFh+JvBHjjVjc0h3Ejot8bY1ZCRD/N3mikhjNyzBrDBr8pfgB0ApBn/H4TwHgAHxn/pwH4JoA8AJ2NY98DcJfxey6AIgCjADzrULdjOYC7AcwGMNXhmvcAdAfQFcD/jGMB47sQwJLGHrPmMm7G8a8A+AzA7Y09Zt64ndnjBuD3Tud6Y5a5MfM4LgPMfISZa42/UQAXASgx/s8GMJqZa5n5sHSOSkQFAGqYuYKZlwK4UK7XrZyIcqA/7AUuTWrLzPuZ+SB0T3cwc8QoywewoX49zgyaw7gZuA7A/6tPXzMJb9zqhmY0bo8R0WwiGlKf/mYCZ+KYeYTLBoN1bQ+gDIDIvHgaQBvpnEIAdwD4l3FcztDos1XpVn4rgDcSNEVx+k1EzwFYB+DzxD1pWDTlcSOiywDMg/5CNil441Y3NOVxA/A0Mw8H8EMA05N0pcFwJo2ZR7gkEFFbAM8A+C70h9vSKGpp/AcREYBXANzPzGUASqXzAEAjog6GrLbEpdwP4DJm/th2/znGdZ0AaPI14gcz/wjA+QDur1dnM4hmMG63A3i1nt3MOLxxqxua+rgx8ynjO5OxU+uFM23M/KmcdDbAGPB/AvgFMx8houUAfgTgcQBTASwxTn0QwEJm/hwAmLnaUEQWQmeVNzHzcQBBqW5LOYBzAHQnolkA+gK4gohWMvMU6ZpThrJTgxEQk4hymTkEoAbWnU6joTmMG4DzALwPXaZORLSAmbdkYThShjdudUNzGDciasnM5UTUHk1gjT0jxyxVZdiZ/oEuyz8OXfZbAqAYuuJyAXS2OQdAFwBh6ZwfGtdOBbAYuqKyh0PdruVwUUpCl0MvALAQwBDj2PPGfRcB+Fpjj1lzGTep7BY0HSMDb9zO0HED8ILxfzGAid6YZX7MvMgZHjx48OChWcHTcXnw4MGDh2YFj3B58ODBg4dmBY9wJQHZvM5J9zJfTESVRNTX4Xw/Eb1Bumf4fdLxvxp1/J/DNUVE9CHpnuQ3J6qnucDeXyKablgVvUJEPtu53pjBm2v1gTff0kdznm8e4UqOvQAmM/N4AB2hm6JfA+A/LudfDWAzM48DMI6IOhHRMAAtjDpyiGik7ZrvAXgLwAQAt5PuwBdXT6Y7li249DeHmYMANgK40nbJWT9mBry5Vgd4863OaLbzzSNcScDxXucqMx+1n0dEwmmuGLo3OqBb2oy0HZsNYLTTNcysAlgLoL9LPc0F9v5+GbrTNACsMcq9MbPBm2t1hjff6oDmPN88wpUiyPA6Z+ZNTuXMfJfxszXivdKdjtXpmmaC1rC2nQFMNP5PRj36fwaPmQlvrqWN1vDmW53RHOebR7hSAFm9zpOhDPFe6U7H6ntNU0YZ4tu+gYjmGv/tuzqn852O1feaJg9vrtUJZfDmW53QXOebR7iSgGxe5ylcshiA8BKfBGC57ZjsqW65xlAiDwGw1aWe5oK4/jLzg8w8CcBJADMTnH+2jpk31+oOb77VAc15vnmEKzm+CV0G+5hhpVRMRO8AuBTAP4joK4BFpvshgIFEtADAYmY+zMyrANQS0RcANGZeZrvmZQA3APgCwCush3WKq6dhult/2PsLYIUxdnMAhFmPJO2NWTy8uVYHePOtzmi2882LnOHBgwcPHpoVPI7LgwcPHjw0K3iEy4MHDx48NCt4hMuDBw8ePDQreITLgwcPHjw0K3iEy4MHDx48NCt4hMvDWQ0iusX4dCKi++tYRy8immz8rnM9tjqHGHHg7Me3EtGrxu/XyBYM1elYY4CIColoCRH9s7Hb4uHMg0e4PDQbEFG95ysZsB834rY9XMdqe0EPLVTfemQMARBHuAAcZ+ZbM1B/VsHMlQC+3djt8HBmwiNcHpo0iChIRB8Q0YcALiOi20lPofCF4EiI6IfG7n4uEfUnoh5E9DnpqRSmGef83uBUPgHQkYj+R0SzAFxmlPcS3AHpqR2eIaI1RHS5cewHxj0eI6ISWzPvAHATEc1xqGc6Ea0lom8T0X+JaB0RDTbKrySi+aSnlrjcoc5fENGbSYboLtLTQ/zO7ZjBUQ43fq8xuLL1RPRVIppJRCuJqFuK5dON768S0TJjnL9MRGOIaKnx/7YUHq0HD3UHM3sf79NkPwCCAGYZv9sD+AAAAWgL4H3o6Rg+B+AzzlEAPAtgvPH/EwBdAPwewK+MY98CcL/x+0UAt0Dnmv5pHNtm1NsVwHsA/NBD2fgAjAJQ4tDGPxq/7fWcY9z/CIA8AGMAPG20s8SoOwfAHFudtwC43WE8Fki/XwPwVeP3UrdjtuuPSu1YZbTjegA/TaVcquefAHoZvwnAHwEExX/7WHgf75PJjz+Oknnw0PSwyvjuA2Aw9FQIAr0BrGI9bQKYWSOic6VrVhvnAMBKqZ7VtmMyjjPzMQAgotbQCeY+ZlaJaE0a7T7ORpoIItrJzLVEdAh6NOz2AC5ALL1DRyIiZk43lM0G47smyTGBHVI7NhvjdchoSyrlAn8E8ADp8e4eBvCc8f+7AKYDWJZmPzx4SBmeqNBDc4BmfO8GsJyZg6wnCbwEwC4AQ4X+y/jeBWC4cc1QAHsc6hksldshEw8CcAJAd6PuixzOj0DnxhLV41TnegBTjL4MthEttzoT3SPRsVTalEq5wF5mvh06x/pTAKXM/CMA0wD8IWGLPXioJzzC5aHZgJmPA5hp6IXmArjPOPYugEXGsfMAPAbgQSJaBF2sd9BW1fsAxhDRJ9BzAyW7bxTAPwAsgi42i9hO2QBgLBH9vzT6ogF4EsAco91P2U5ZAuBGigUrrTNkHVcG6hLt+T0RzYPOXf0/AN8novkAZkAXV3rwkDV4QXY9eEgBRORn5igRjQJwGzN/v5HaUQJgNzdxy0IiKgQwCzqHfG9jt8fDmQWPcHnwkAKI6F4A10A3pPgOM29r3BZ58HD2wiNcHjx48OChWcHTcXnw4MGDh2YFj3B58ODBg4dmBY9wefDgwYOHZgWPcHnw4MGDh2YFj3B58ODBg4dmBY9wefDgwYOHZoX/D/t9j4MNxxR/AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdate = lambda s: dates.date2num(datetime.datetime.fromisoformat(s))\n", + "td2num = lambda td: dates.date2num(start + datetime.timedelta(seconds=td))\n", + "\n", + "def plot_freq_trace(outfile, xlim=None, minor_locator=dates.HourLocator(interval=3), major_locator=dates.HourLocator(interval=12), smooth_sec=None):\n", + " fig, ax = plt.subplots(figsize=(6, 4), sharex=True)\n", + " fig.tight_layout(pad=3.5, h_pad=0, w_pad=1)\n", + "\n", + " if smooth_sec is not None:\n", + " # smooth data by convolving with a blackman window\n", + " a = int(10 * smooth_sec)\n", + " a = a//2*2 + 1 # make a odd\n", + " w = np.blackman(a)\n", + " f_smooth = np.convolve(w/w.sum(), f_mean, mode='valid')\n", + " t_smooth = f_mean_t[a//2:-a//2+1]\n", + " else:\n", + " f_smooth = f_mean\n", + " t_smooth = f_mean_t\n", + " \n", + " ax.plot([ td2num(td) for td in t_smooth ], f_smooth, lw=1)\n", + " ax.set_ylabel('f [Hz]')\n", + " \n", + " var = np.var(f_mean[~np.isnan(f_mean)][1:-1])\n", + " mean = np.mean(f_mean[~np.isnan(f_mean)][1:-1])\n", + " ax.text(0.5, 0.93, f'Run {run_id}, {time_window}', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " ax.text(0.05, 0.15, f'μ={mean:.3g} Hz', transform=ax.transAxes, ha='left', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " ax.text(0.05, 0.09, f'σ={np.sqrt(var) * 1e3:.3g} mHz', transform=ax.transAxes, ha='left', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " ax.text(0.05, 0.03, f'σ²={var * 1e3:.3g} mHz²', transform=ax.transAxes, ha='left', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + "\n", + " # Indicate missing values\n", + " for i in np.where(np.isnan(f_mean))[0]:\n", + " ax.axvspan(td2num(t[i]), td2num(t[i+1]), color='lightblue')\n", + "\n", + " ax.xaxis.set_major_locator(major_locator)\n", + " ax.xaxis.set_minor_locator(minor_locator)\n", + " formatter = dates.DateFormatter('%Y-%m-%d\\n%H:%M:%S')\n", + " ax.xaxis.set_major_formatter(formatter)\n", + " ax.set_xlabel('recording time t [hh:mm:ss]')\n", + " ax.grid(True, which='both')\n", + " if xlim is not None:\n", + " ax.set_xlim(xlim)\n", + " fig.savefig(f'fig_out/{outfile}.pdf')\n", + " None\n", + " \n", + "plot_freq_trace('freq_meas_trace_24h',\n", + " xlim=[pdate('2020-04-03 15:00:00'), pdate('2020-04-05 21:00:00')],\n", + " smooth_sec=60*5,\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "application/pdf": 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\n", + "image/png": 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\n", 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\n", 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fc6g20MEtU/Q0yuuCDChwEY7FlIdhF0YJLkVG+WBTWZN5rIZgFK/DRo7LRn1IE1zLtlawo6KhI5qo6KGMvO0tlm+toNjrxGmzEIxEO7pJisNECS5FRrnkb5+yfFti/Lm6YASP04bXaaUuEDFfGGqeQdFeSCkJRyUV9SGKcxy47FYC4cYBVjAS5eVPd3VgCxVtQa3jUmQMY42WL9CYAPAHf/uUmJQc0y8Xp82KEFDm0+LI1QebJh5UKLLBJ9srzc9FXgduu5VAOEogHKWqIcTB2iC3/mct5580WK3x6gIojUuRMaobwub/DzaVMfW+91myqYwPN5dT6NWituc4bRzU57bqlOBStBOfbGsUXIUeTePyh6M88cE2ptz7PlX1IQD8YWU+7AoojUuRMaobtIe/2h/CFwizt9pv7iv0aIIr12U3Na6GkHpJKNqHSKzRLOiwWXDaLATCUQ75tEFUWZ12TwbCUbxO9Vrs7CiNS5ERTrr7PVbtqgY0jSvHlfjwG4Irz23jYK0yFSral1p/OOG726HNcdn0bNmGxhVQsTS7BGpooThigpEo5XUhHv9gK6C9BPrnuxLKFHq0iPC5TrsyFSrandpAhOtmj2BwoQcAl81KMBzFSD1nWAECylTYJVAal+KIqdRHq9vK6rnglCFUNYRNM+CovjkA5hxXntvGIWUqVLQzoUiM0f1yOX/SYABcdgv+cNR0JHpq6XYAgmGlcXUFlOBSHDEVdSHz89fHDqDGH6JBX6919cyjgThToctuCi6lcSnai0gshi3OW9Bwh6+JMyEe0y9Xre3qIijBpThiqnSnjEumDKXQ6zA1rtvPPpZzxw7g1KOLG02FLju7Kxtw2CzUByM8vXQ7t76ypiObr+gBRGNaoGcDwx0+XnDlue0E1RxXl0AJLsURU1kf4mtjB3DX18dQ4LFT3RDCH9K8s2xWCy9eMRmbVbvV8tw2tpfXM3ZQPvXBKP/6bDcvr9jdwVeg6O5EYhKbtVFwOe1WApGo6bSR67Tp0TSU4OoKKMGlOCLqgxHK60IU6RpVgdtBta5xeRzWJuVzXVq5sYMKqA9GVPQMRbsQjUmslsbXnctuocYfZsMBHw+eP5YXr5iMU3fYUHR+lFeh4oiY+fvFlNeFuH7OSKBxjUyZL4jb3lRw5elu8mMHF/DpjkoiKtCpoh2IRGWTOa7fLdgIwHnjBmKxCJx2i3KH7yIojUtxRJTrjhnr9taY2wo8DvbX+PE4mo6L+uRpbvKj+uZSH4wQURmRFe1AVEqscYIr3nvQCPHktFmUxtVFUIJLcdh8tb/W/Hz3eWPMz/luO/uqA7hTmAqnHl3MKz8+lVyXjfpg1IwkL5XJUJFForFEjavarw24vjlhoLnNabOqOa4ughJcijZxx3/XseWQj2hMcuYfPwSgwGNnQIHbLFPgsROKxvA6mwoum9XCxKGFeB026oMR6vW1XCpGnCKbRGKJGpdA+/zg+ePMbS67cs7oKqg5LkWb+PvynbjsVn5ccrS5bdUvT0soYzhleOzN315epxVfMILVIuiV46TGH05pWlQoMkE01hjeCeBnp4/iglMGJ5TRNC41gOoKKI1L0WaCkcSFm0IkpoE4fkA+AJ4UGpeB4R7vsVsp8trNyPIKRTaIRBM1roEFbiYOLUooo81xKY2rK6AEl6LNRGOyRUFz3nht3iCVO3wy+R47+W57giBUKDJNNGkdVyqcdgt/XLSZz3ZUtlhO0fEowaVoM5GYpLoFQTOkyMMFpwxJ6Q6fTO9cpxJciqwTTZrjSoXhH/SpElydHjWpoEibqL7mKhhpDJVz2nF9m5SzWgS//cYJaZ2z2KsLLmUqVGSRSJJXYSoO6VkLlLmw86MElyJt6vXAubX+MDUNIS48ZQj3pCmgmiPPbVMalyLrpKNxXTh5KKv31KjUJl0AZSpUpE1DUHuga/xhavxhCvQwT4fLVTOG84MpwyjwKMGlyC6RJK/CVIzqm8t54wYowdUFUIJLkTaGxlXjD1PdECbffWSC6xdnHcvYwQXku+3mglCFIhuko3GBlhl50YZDnP/X5e3QKsXhokyFirSpD0boneukuiFMtT/MqL65GTmvZipUubkU2SOdOS7QYhjuqfKzp8rfDq1SHC5Z0biEEMOEEAeFEKVCiHf1bTcLIZYKIV4QQtiTyucKId4QQnwkhLhE31YihNipn+O5bLRT0Tbqg1EGFLg55Auybm8N+UdoKjTIV6ZCRZaJRiXWVtzhAbUIvouQTVPhe1LKEinl6UKI3sAsKeU0YA1wXlLZK4CXgBnA5UIIh759vn6OS7LYTkWa1AcjFHu1n2bDAR8FR2gqNMh326mqD6m5BUXWSFfj8satPYypzAWdlmwKrllCiA+FEDcCJwOl+vaFwOSkslOAhVLKKLAaGK1v/75+ju9nsZ2KNKkPRfA6bTx32ckADCryZOS8+W47a/fWMOsPpRk5n0KRTLpzXB5no8bV0lpFRccishGVWwjhRJs/CwL/BT4FDkopHxdCjAD+T0p5WVz594CvSSkDQoi7gXeBz/XjHWjC7lwpZVlSPVcCVwL07t174j//+c+MX0tL1NXVkZOT0651dlS9dXV1fFblZFtNjMvGOJFSNgn1dLgEo5Kr3mvAboEnT/cm1NkR16nq7D51GvVet1Tw9DwPllbu2b11MW5bqs1vHV9s4eZJ7hbLt1RnT+jfWbNmrZRSntSulZIl5wwpZRBN6CCE+B9QCxj5A/KA6qRDqvXtAWO/lLJO3xcWQnwAjAQSBJeU8gngCYDRo0fLkpKSDF9Jy5SWltLedXZUvaWlpQzKH4K1JkBJyXEZP/+yiX6+8eePEq6ro65T1dl96gR4f/FiJA3MKilpdbC1t9oPS9+n2OtgUL9CSkoO753ck/q3I8iWc0a8u9lUYAswU/8+F/g46ZDlwBwhhBUYB2wUQuTp57ICk4Ad2WirIn3qg9GEOYBMUuR1cLA2yL5q5c2lyCwxqUVzScdCYNzfd319jJnkNBCOKuehTka25rimCyFWCiGWAfuklJ8AHwghlqIJptcAhBCP6uWfAi4EPgT+pmts5wshPgU+Av4rpdyXpbYq0qQhFEmYA8gkLj2u4ZMfbsvK+RU9F0NwpUO+285zl51MgcdOg54r7poXPueMhz8AoLohpIRYJyBbpsK3gLeStt0P3J+07Tr9fy1wTtK+p9AEmqKT4A9HGZBG4NzD5RvjB9I3z5W18yt6JjFJWh6FoKXomTGqN6t2VdGge7mu2F6JL6itMzzzjx/SJ8/Ff38yNWvtVbSOWrSgSJtgOIbTlj1H1OG9vPgCajSryCzRNmhcBh6HjYZghAM1ATPhKcD+mkBa6XoU2UWFfFKkTSASNU162SDPbccXUBE0FJmlLaZCg1yXjS1ldUy+dxEAvXIc5r4jDXWmOHKU4FKkTbY1rlyXjVo1f6DIMFEpWw2wm0ye227m5/rdt04kEJfqpK3nUmQe9Qso0ibrGpfLTq3SuBQZRtO42naM4V34lwsn8M0JA6kLRsxIGm3V3hSZRwkuRdoEwtGsalx5bjsV9SpKvCKzaM4ZbbtvDdf5o3p7sVktuGwWyuqCAISiKtFkR6MElyJtgpEYzqzOcdlYvbuaxxZvyVodip5HTMLhWPc23n0Gx/TLA7RB1Sm/1ea7DDd5RcehBJcibQJZn+PSJr03HvBlrQ5Fz+NwNC4Ap61xkJbranTA9oeUObujUYJLkTbBLM9xGdHm7W2dkFAoWiAq4UinpeIDxdcrjavDUW8IRdpk26vQ67Tx+2+fSGV9sMm+6oYQB2oCWatb0X05XI0rnviUO34luDocJbgUaROMRHHas3vLHNs/j/0pBNQ1L3xurqlRKNpCTKaX0qTFc+gq16BCNw2hCNnIqqFIHyW4FGmjaVzZjRrQP9/Fwdqmgit5WyAcVYknFWlxOJEzknnwu+P4zXljePP66VgtgjfW7M9Q6xSHgxJcirQJRWM4sjz/VOR1UB+K8u76A2yuahRM3qTgvte++Dnf/POyrLZF0T04nMgZyUweXszFk4eS77YTjkquf2mVGjh1IEpwKdJCSqkJrizOcYG2fmZokYcr56/kj583alk5uuDackhL07ZqVzVf7q/NalsU3YNMCK5UlPmazsUq2gcluBRpEZNgEaJdogYcP0BbOxMf0dvj0ATX3AeXUB+MJLgnN8fGAz6G3fpmdhqp6BJEorGsCa5UJm1F+6AElyItIjGwW9sn1M1RvbT04/HVBcJRBhVqadS3ltWRowuuZz7a3ux51u+rAVAT6T2UlTsrGXHb25rgSiOJZFspr1NRXjoKJbgUaRGOkfX5LYNiPRJ3vANjfSjC7WcfB8C/V+4h16mt+fr1G182mwplb5WWTbkuqBaM9kS2HqoHNK9CWwYHXYa2/+MXVvLEB1szdl5F+ijBpUiLiJRZn98yiF8rtqeqAdDWzgwp8nDbWcfiC0QSciI1N/LdUqbNh9UHO/ckenUgpuZLsoChZIVjmpk7U9z7zRMo8GjR4//0vgpP1hEowaVIi0g7alxDi70A1IQk0+5fzIGaAA2hKB6HlaHFHnyBcEKg06qG1IJrW5k24g5GOrfg+vPqIKc/tKSjm9HtCEc1E3F9WKadATkdzjlxANfOGgGgshl0EEpwKdIiEgN7O2lcJx9VxOpfnY5ffyccrA1QH4zgcVrJd9up8YcJRhoFV3UzgutAbYBcl41QpGk07w0HajvN3FcwClUNKg9ZpjEGLPXhzDtn9MpxZvR8irahBJciLdpT44LEoKZlviA1/jAFbgd5bju1/giRaIxXfjyFb4wfSHldiAff3ZigWcVikqr6EP3zXQlCDjRHjzMe/pDdlf52u56W6O/VXqqdRZB2F4zfvSF85JEzkinyNmZEDoSjbC+vp16fS43G1O+YbZTgUqRFJNZ+c1wAlrgXzY6Kelx2Kw6bxdS4wlEtq63LbuEP72zkkfe3mJPxALWBMG6HlRynrYmpsFrXbnZU1NMZMOZfKlUusowS1LMW14dlwv2UCQo8mnNQrxwnlfUhZv2hlF++tg4pJUf/31usL+/c5umujhJcirTQ3OE75nbZcqjOfFE0Cq4YNqtg5c4qDumODTX+RnNbRX2IXjlOnDar+QIzMAREfPmOJKKP0FPFaFQcPsaAxReSGQ8OPajQQ68cJ71yHOZAqLw+ZH7e7ctsskmljSeiBJciLcIx2lXjimfLoToKPZppxuOwEorGCISj2K0WLpo81CwXL4iqG0IUeOxYLYILnvok4cE3BFdtM2707Y0hVzuLBthdMEyFNSGJ19H6gvW2UOR18Nntcynw2Nmp/27RWMxcelEdPDJBc8PLq5j30Ac8smgzoUiMo37xlulhq1CCS5EmkZhs1zmueLaUNWpcQghynDaqGsLYrRYumTLMLFfrD7Ng3X7KfEFqAxFyXXYa9KR/5zy61CxXqTtzdJb0FOEojB9SoBJoZhhD46oJyoTlE5mkwO3gxy98DkAkKs3syL7QkQmu177Yx8aDPp74YBubD2n3hUrr04gSXIq0qI9oZrqOoLohTIGncTI812Wjxh9u4uJc7Q9x9fOf8+yy7fgCEXKdNgK6OrN+X2Ncwypd40p22ugowjHJyD457KxQI+pMEgzHcNktVAcl7iwJrpw4J6KYlNTrA6WGSGZMe0f3yWF/tSaw/Cqor4kSXIq0+O+WkBnotj0xhFOOMz6NeupMyYapcG+VH18gTK7LxrnjBpj7Z/+hFGg0FXYewQWDCz1qEXKGCUVjFHud+CNkTeMKx60nDEUlDcEoNougPpwZwTWkyMN+PSZiZ7EQdAaU4FK0ipSS/fWy3edgHFY4d6wmeA7VNr7U8/RRbnLsRGNivKohTF1AC8R79cyjefP6aQBsK6/nkC9AVYPhJt85XgThGPQvcCuvwgwTDMco9GqDHE+G57gM6uPCidU0hKgPRehf4KLhCAXXgHwX3xg/EH8oSkWddu8rjauR9h9CK7ocxoTzD6ce1a71PjrLw5xZJzL56GJG9Mkxtxsal03XuL42dgD+UNT0yiuvC2qmQr1c/Jqb/dUBKutD9Mt3NfE27CgiMUn/fBcVSnBllEgsluDUkw2unT0Sj8PGe18epLI+RH0wQv98N5v3Hd58lJSSMx7+EF8wwoxRvXhl5V4eXrgZQOX/ikNpXIpWOeQL0tcjOGNMv3at12kT2KwWzj9pMBOGFJrbkzWuR78/nl+dcxwfb6vAahHsKK9nf03AXMQcL7jqQ5E4jatzCK5wDPrlu6huCJkp4uP5v1fX8vG2ig5oWdcmHJXm3Gi2BNe4wQU88v3xrP/1PBpCUWr8YQYWuA/bVBgIx9h40IcvEKF3jsucMztv3ABlKoxDCS5FqxyqDZLvbJ+UJumQawquxtt3cJHbjGc4fkgh7315wJyTc9oaX1rhqKQuGKXY6+xUpsIcpw23w5pybdmLn+ziueU72r9hXZxILEaBO7umQgOLRVDodbCrsoFir4OoPLwYmfFLNAq9dsrrgrjtVvrmu2hQGpeJElyKVlm5s5KCTiS4CnUNKt6rUOjRJ3yBCKP75Zru8AYD8l30zXMSisQIhqPku+3tonEdqAm0ung0HNUWyPbKcTZrLlRhhNpOOCLNZRTZ0rji6ZPrZEd5PV6nDa89/QXux/zybWr0+dn4FD1eh40DNQHy3XZyHLaE+bSejhJcihbZfNDHH97dRI698wguYxQtklJVGC+nYb206PJ5ca7Ky34xhwlDCglFYvgNwRWO8dSH2/hoS3lW2hmJxph87yJKN5W1XC6maYXFXoc5EZ+MElxtJxyLxZkKsz+d3yfXyY6KBrxOKx67MIVRS4QiMQLhGHur/dQGwvx5cWN+L4/DSjgqyXXZyHXZqDvCSPQbD/i6TW46JbgULWK4aHfQ2uOUeJtxyzfWmZ08rAiA4qQI3g6bhVA0SsDUuKLc/eZXPPjepqy08/Nd1QBU1oU44Y53iESbanhSSjMqSXGOo1mNy0jRoUifSFRSqGtcRnLSbNIn18X28no8Dhs5dkFZM4MQgP98voelm8vNeavqhhBLN5fzn1V7zTLG2rPNh+rIddnxBSLUBSNmZu+2Mu/hD/j9gg2HdWxnoxO9jhSdkYZQlOG9vHx7VPYf/HQp9KRuy41zR3HF9KMY3S+XZ384KcETEbQ5sXBEEgjHyPc0mgrjI9FnEkN7OuQL4gtGUrq7ByMxrEJLu9Erx5mgce2sqOe9Lw8C2nyNom2EozH65LqA9klDYgiahlAEj11wwZOfsHJnVcqyP/vnan7+79U0hDUNqMYfbrJIOl5LzHHZqA1E+OuSrZz9yFIOl+7iUq/c4RUt0hCOcuyAPJzW2tYLtxMlo3vz6jWnNtl+/qTBcWX6NNnvsFkI6nEOCz0Oc7Rb1IwgPFKMHFuGMKqoD9Enz5VQJhCOYryv+ue72FPlZ+2eGr72p6VcPHko8z/eCSiN63CIxCR98pw8M8+T8bQmqRhU6Aa0MFB2XSWoamGJQzASM7NzJ8+HDS5yY7UI/t9poxhS7NFMhcHwEQeG7i6xepXGpWgRfyiCx579ie22YLNaGB/nHp8uDquFYDhKKBqjwGNnb7WWj8vjzM71GZmZy3XBddFTnyRoVOV1QSrrQzh0t/5RfXPZdNDH1/6kjaiNGHWQGKFBkR7haAy71dJkLjRbXHDKEP519RS+c9IgvPqccG2geWFTUR9qDMrrD1OvD6QuOGUIr14zFYDr5ozk6+MGkuvUTIXGfXC4c56WduqLbKMEl6JFDBfz7oDTZsEXiOCwWvA4rKbpriFL62OqG0L0ipu3qqgPJQTSPe3BJfz05S9MjeuYfnms3qPNX+Q4beyrblzEGugki6W7EpGobBLPMpt4HDYmDStCCMG5R9sZWOBm5c4qxv763WY9S5/8cBugaVz1wQjfP3kI95w3polpM9dlwxeI8NKnuwGoqD+88GCWbvLG7yaX0XVJteC0M9EQiuJuB4+s9sBhs1AbCOOyW3HHaZFGRILK+pCZGysTVDVoi1HL6xrNRQdqAwn7NxyoxaE/hYMKtbBP/fJcjBtcwK7KxqC7vk6SgqUrYWhcHUEvt4V5x/czf8PkuSXj/ttysA7QBVcoQp7bllJDzHXZzHP1zXNyqDbI9vJ6Zj9QmlZ7QpEj09Q6G1n5VYUQw4QQB4UQpUKId/VtNwshlgohXhBC2JPK5woh3hBCfCSEuETfZhNCzNePuTUb7exopJQM/7+3eHvt/o5uSrP4u5HGZbdaqPVHcNkt5sS312E1Na6p973P29szJyCqG0IMLHRTGTc6rk0yG4Wj0jQVGll6rRZB79zGEbfDaqHMF+z0g5zORiQmsVk7zjTmslvYU6WZow1X9q/213Ln6+uxWQW3n30sOyu1+J81DWEagtFm84YZUeiP7Z/Hsf3zOFgbYM2earaVpRc/1Ejv4+8mmns2hyPvSSlLpJSnCyF6A7OklNOANcB5SWWvAF4CZgCXCyEcwLnAV/ox04QQ7RtvqB0wzD8Haztvnp1AOIrL3j0Uc0Pjctut5jUNKHDToE+Q+8NR9tVl7sGuaggzIN9NRZzG5UuxFifVuCBecNmtAodVM3Mu+upgxtrX3elIjQs0rWqvLrhq9d99wboDPLtsB/XBCMOKvQTCMXrnOk2Nq7lBohH9Jddlo2+ui4O1QTPWZjoDGmP+rLvEO2zxVxVCDG/hb3BLxwKzhBAfCiFuBE4GSvXtC4HJSWWnAAullFFgNTDa2KbvXwxMSv+yugaG+SDVy6yzEIzEEkImdWUcVgu1fs1UaJhjinMcCYsyM6nTVOkaVyQmmXd8X2498xh8KRaAOpLmYaSUCSadhnDUNBX96O+fdRtzT7bRBFfHaVxuPVs3aIGqpZRsOaSZBm0WC730wcmAfBc1fl3jSiN1UJ88J4d8Acp1TT6dUFB+XePqLk4+rfXSR8DbQKpffyJwYjPH7QdGAUHgv0AeYAwVa4Bkl7ACoDZpf6ptCQghrgSuBOjduzelpaUtX02GqaurO6I6y/3aTfTllu2UWvc2Wy4ckwQjkOMQGam3LezYHcTms1BcGOxy/ZvMjl1h9pVHsFswzxuur6HcF+P9xYsBaAhGMlZnWXU9VXu0SAjVFeXsl1Vsr43xwD/2sr++8QVikYl1BoJBhsb2c+ExDl7eGCIqwRINsmjZCgAWLCo1vdYOl/a8hzqqznAkxrKlHxJoqO+Qa91d2RgF46NPVrJ+teDNtZoGFo7GWL9ay5xsC9exqzaGO1pHYfgQpQ3bUp7zpL5WRrnqOLjHR20IorrDx3uLP6DQZWnSv1JKc4C2o0YTbgfLKtq9L7JBa4LrbinlY6l2CCF+0txBUsogmtBCCPE/NAE0UN+dB1QnHVKtbw/E7Te2GcdsSVHPE8ATAKNHj5YlJSWtXE5mKS0t5Ujq3HzQB0s+oLBPf0pKTmi23L1vf8Vfl2xjx31nZ6TetvDqgVWcOLo3OTVb2q1Og0xf56HPdrNo32Z6F7opKZmC9/0FTBsznBc+2ckpp06Hd96hIWbNSJ2xmKTh3bc5fdokHlm1lIED+nHS6D6UrzvAgr0+NusjbwC302bWWbL9U44fkMcl844B4PU73sEXjNC3uIC+wwbB52sZN2kyAwvcR9S+9ryHOqJOKSXRBW8xZ1YJS5Ys6ZBrnTBoJH//8gs8DitHH3Mcjy/ZBmiCSwIl06bA0vc54ejBbFq5h3qLh0njRlFybN+U5zQu4bnlO9h00KevE9zPCRNOZkSfnIT+DUVijLr9bdbceTp5Ljuf7aiE5cvx5uZTUtJ0DWRXo0VToSG0hBBT47cLIU5sTqDp+3Pjvk5FEzoz9e9zgY+TDlkOzBFCWIFxwEZjm75/FrCipbZ2RQxTYWsxyAw7eUcQDHczU6HuVQjwxR2nc/XMo/EFIo2/RajRDPf3ZTv4+7Idh1VXbSCMx2E1o3I4bRZyXTZqA2HTGcRYFBtvKnz6B5P4f6eNNr8fN0Abu8W776tgq60TiUmsFtFua7hSkacHeT5xUD6+QIQhRR5mjupt7jfWR/bLd+ELRli/rzatmIouu+ZQtGDdAaDR8SIewwt1/V7NaBUIx8hx2kzTZSb4an/HBSVId+byP0KIV4QQ+fr3h1spP10IsVIIsQzYJ6X8BPhACLEUTTC9BiCEeFQv/xRwIfAh8DddY3sDGKMfs1xK2Xld7w4T4wXWWuDL5jyN2oNgJIrT1n2cM3yBiOmYYbdacNktRGLSHDyEYvD4kq08//FO/vDuRu54ff1h1VXVEKbQ4zBfRA6rhTy3ndpAxHypGHnC4t+tVoswvQsB/nLRRBbfVILbbqW6oW2C69hfLug2k/FtpaPnt6BxYDKqby51Qe13v3jyUPP+Mxa+x4ccSyf8mNtuZU+ln2hMMqzYk/L9YUTk2FKmafZ+fZ40lMGMCGf+8cOMnautpPtG/BL4DfBvIcT/a62wlPIt4K2kbfcD9ydtu07/Xwuck7QvjCbMui3+kOax15rGZdzg8TbrZFburOTNNQf41deOy2gbDeeM7jDGd+geZvFruIQQeB1WyuuCFHjshMJh7nv7yAOR7qv2a+kt9N/ObrWQ57Lh84dNb1Kvw0oZ0NIguMjroMjrwO2wmguZjZdSSwTCUfzhKGW+IIOLPEd8PV2NcFRi7+DVtiP75jB5eBF5Ljt1gQi+QIQ8d+NKION+jPd8HFrc+m/lcVgpqwsyrNjD8N45pldsPIYw2667ywfCUfJc9oxqXB1J2r+slPIL4LvAnUBm3449lIZQlF45TjPLaXMYi+6TR1b1wQg7K7Qb828f7eBvH23PeBuDkRjObuQOD5imQoNcl5awr9DjIFUQjcPxxPr1G+vZdNCHSzezWq2CPJedan/YfHkYI/J0nATddqsZ9661+wUaExJWp5FaozsS6gT3bf98Ny9fOYXiHAd7qrS0Jbkum/k8G4NQYyj6nYmDEnLINYfbrg20PA4bXqeNG/7xBf9YsSuhjHGPbCvXNK5AOEqeu6nGtXJn1WElvGwtx1y2SfeXvQRASlkJfAv4dtZa1IPwh6MU5zhbTclt2LDjIzAA/G7BBmb+vhQgrdw/h0N3MxVCU8HldVrZXemnf76L5PWZLrvlsMxtHoeNFy8/xTT7xWKSPLedyvoQfXQ36K36aHhgTusmLZfdSqX+G8ebCqWUrNhRmVA2GpMs3azlGKtsaD7Ia3cmGImaGk1HM35IIev311AXiJDrsnH2Cf2Zc0xjEGghBOOHFDD7mKaBoVPhdljxBSJ4nVa8Dit1wYju+NFIXTDC4CK36X4fiMTId9ubCK5v/WUZr36ueTR/uLmMH/zt07TakMkIM4dDi6ZCIcR89KUtKUxUhx9bP4s8umgz9aEot555TEc3pVX8oQi9cxwcqGnZ+cKYC9uwv5aj9CSJAHXBuFw+WUqGqJkzu4lzhi64kkfiOU4b28rr6JvnwmrREjvG7wuEY+QmBnVvlUO1AQYWNnr+haPS7MeY1CbsfzpnJFOOLuaTj1qfK3A74ua44gY6uyob+M7jy1lww3SO6ac5cny6vZKf/XM1QELUjp6EZinoHPftgHwXB2oChKMSj8PGg98dl7C/wG03g+qmg5H+xK1rXGCkvWm8rxuCUY7tl8cHm8uoD0YItmAq3KmHklq+tYIlrSQ9NejoudPWhiS3A78EfgWM1D8bf52SZ5ft4PElW1sv2AkwTIWpbNSg3RyxmMQfinLysCI+TRpZGy9gIzBrNvAFIqZ3VFfHGIG7bMkal40d5Q30ynEQHyh+6S2zcNmtbX5IYzFJWV0wIfpFfD6tYCTK69dOY86xffE4UsemS8ZtT+1VaOQUO+PhD80ICoE4009FXQ/VuMKxTmMpKM5xUuuPUOMPN4mMsfSWWcw5Nj1Ny8BjbwxX5tXPl5yurT6ozaf1znXy5pr9BFpwzkg2J6djBgyEYx2q0bbmDr9T/9sB+OO+72yf5rWdfvltHBp3IJqp0EF9KJLyZpnwm/e49+2vqA9FGN0vl2c+2sGqXY2J6czJXYtg7KB8LW3HYdirW8Knmze6A4bGlZywz4hKUeR14tI90T75vzkMKvTgtltZvq2ClTur+HJfLVfPX9lqPVUNIbxOW8IyAmOg++Llp/D0D9oeBMajm4dAWyRtEG9mHv5/b+n7G7clm5czxf4aPw9lKXN0JghFO4/gslqEmYE5uU2DCj1tdtl36VGZPXEaV3I0lbpgBK/Dyq/OOZ5b/rOGvdUB8tz2lPO1Nf7EAVF9GtkSgpFowsCsvWkt5JNF/7NqX4UwtrVT+9qMkR033clDw021PbnnzS/5/Tsb8Iei5Lrs2KwWc+QcT0MoysaDdVoW4t6aifCxxY3rsI0XsTFX5nVa2xw+andlA2t1jS35pq5pCGO1iG4TZLdR40q8fb0OG3ur/RR7HRi7jHkot8PKz/+9hm8/vowF6w+wYP2BVus5908fNRnFGi7Qp47oxclHFbW57YaZ0W23JrxYAuEoI+MyPUspE+a1PtxcZuYdyySLN5Txx0Wbm2zfX+Nne3l6gV+zSTAc7VTrD40BdSbWlRlesR6HFY8huJLed/XBCF6njdOO64uU8NKnu8hx2ghHpamZG8+7MbgxvFYr0xjsBDpYo22t5kVo8QLfi/tubOuUGGaddDOFXvfi55zxcPuuR3hq6XYeW7xVSxli19T95tbm2C2CukCEkX20Nd3xAs7INWScJ8dla9W1HrSXm2Ey+MuSrXztT0tZvrWCkbe9bZapqAuydEs5R/fJ6dBFnJnEiLCdPGdnbC/yOkwPP+OajZeElNpvkQ7JguLxiyZyTcmIw253fDuKvI6Ee8UfjiZYGd5Zf9CMQF/sdbB+Xy03vLzqiOpORXOBl3/52jrO/OMHGa+vrQQjMXNg1xk40kgn8ZiCy2klR7dtR2OSykCM2kCYQDhKfahp3MMcl00L1hyMsHJnlbno/kCNFuS70swb1/q8aCAc7dA5xNZMhbOklLP1v1nx/9urgW3FcAMur0tvUvrjbZVZGZG2hDE4qg9GcDuseBy2ZpMZ2qwCXzDCUbrG9eHmcr6s0Moa5oHK+hAuu5Vcp73VxcwAL326m1PvW5TQlsUbDyWUueWVtfzkxc85Os4ZpKtToK+haSK49Ae80OsgmqSox2ubhodgS0FuDU3/xctPMbedMabfEZtVDPNmkdeRpHHFcNmtLLt1NicPK+Ld9QdMJ44LThlCocfOgAy+NA2MPkjui/X7ajtF0ktt/WHnEVzjBhdk7Fw23XJgFQKHVbsvguEoPyv1c8PLX3DMLxfwxup9pon/qUtOArT73GGz8Oaa/XzrL8sIhKLkOm0cqA1omrqeC66iLtRqxPmO7t/WTIX3HM6+jqTGH2ZosYdDvvQEV3KCt/bAMBXtqKjH47DidVp5ffW+lE4ANqsFXyBMgdvO1t+eBcB2PWBmyFT1g7gdFnL0kEKtsauygfK6EBV1QVNre+IDzZ3W0MSMuTLDRNkdMB74ZJOoIbiKvQ7cSdN58SF4DIFg/N9d2dDkxb35UB1uu5VTR/TKaNvdceGB3li9z0yFEwhr2vaAAjf3fGMMb687wPbyBn7z9eP52Wmj+L+zjsVqEQQj0YyaxI3nJjncUKyD1vf8pXQr97z5pfk9GIl2+DqueC6eMpQVt83N+HmNfGOGdrn5kJZhe2+135w2mDBUi0+e57LjsDXOgzeEohR6HWY4sYr6ECP75lBRH+S4Oxbw8baKZusNdnC6o9Zq/okQ4gM9PUnCf+Ab7dHAtlLrjzC8l5cyX5APN5exeMOhhPmud9Yf4Jhfvp1wjMNmYdnWcu58fT1f7a81F3pmm50VDZqd2mHj9+9s5K24hJKbD2o3YCQaQ0pt5G+1CK6aMdxcsGgImfK6IG67lbw0TYXGi3dnZUOTl5lhYjUWx/bJ6zrOLumS7BJsmFSKchz8eKyLF69o1JbiHTmMNTFVev9N/91iXlm5J+FcH20pT4hHlykMLbFktHbubXEREYwXyMi+uRzbP5ePtpTTO9eJEAKPw4Y/FOVXr61n/F3vpT75YWBE70i2FHTU8p4/vb+ZJz/UFuD/67PdXP/Sqk41x+W0WbPizDBzVG8e+M5YLj31KIAED+BLTx0GQL5uaXA7rNitwhRo+6r9uO1WguEYy7dVUFUfYmSfXMp8QQLhGF/uaz4WYSDSsctkWnQXk1IWtFM7jphwTHuRh6IxBhV6KK8L8dOXvwDgo1tnM7DAzcqdlVyle4X5Q1GO/dUCQBMKr3+xj5dX7ObZZTuYd3xfrp55NMf2z8vKj1MXiNA/38X+mgAuu9U0R8WbWDYc8GERsLvST68cpznn4rJbMZzGDM2hzBeid46TXJc9LecMQzjV+MNNTIu1gTC9c51UNYQZ3tvL5KOKj/h6OxOPXzShiTZkjFZznTYG5Vo49ejG/Ya7cd88J5v0NOsVdSFG6B7Mhuv5jvJ6fvX6egbku5g6IvN9ZghQj8PK6cf1NT3BNMHVeI/2L3Dz+a5qM7SQx6k5c+yuajAXjV701CeMdIUpQZvLfO2Lffxo2lFtao+haSVbCToqS7M1bv7xn5/tJiabevB1N3Jddlx2K9+aOIhwNMbGrdtZUd5oaTIGZEbf2K0Ch81iDrwueOoTxg7K5zsnDWLjAR9uu5X++S4+1z2Xq1IsXi/zBXlt1V4GFbo7r6mwK1Hhj+HTQ6oUeR1sLWtMG1Gumw2/2u8zt/0lbq2Xy2ZNcEB4Z/1BvvHnZSz6KnHeJ1PUhyLmQmKPw4ZFr9vQfqSUfLG7mlF9c9lZUW+60oL2AjMEV7zG5XJYyXHa0prjqg2EyXPZqA9GaAhFufNrx1F6UwljBuaZE/+V9UGeuXQSQ9KIndaVOGNM/ybr0owHMJUTils3FR7TL4+91X7sVpHwQBvH/GfVXj7YVMbLK3anFbanrRiDG6fNSr7bztXPf87aPTVN5hqMaytwa/eM12GjIRgx3eZ9gTBLt5SzfJ/2O7/wyS5+878vaSv1cVmj4+moiAou04lGmm3oTM4ZmeaCU4Zw1gmNSeHtVgsDcgRlzUyR/PvqKYwfXIjDakmwKLnsVoYUeVi7t4biHAfFOQ5W7aoGGp024lmw/gD3vPVVh2tcrc1xdRl3skAUVu2qJkcPbLpfd7jwOqzmi+ZQbYCfzhnJkCIPmw40CjF/OJoywkC2VofXB6P0z9cmzD2OxgWue/T0Ja98vpenl25naLGH+lCUCUMac2h6HFZCUcOdVftvmApzXTb21fhT3nDx1Poj9M93m4LrhEEFDOvl1Zw7dI2tsi5EodfR4nm6C/OO78fzPzol5T5DYBzTX/PqnDaiFxX1ocb1clISjsYSFr2fdUL/jLfRmONy2iym6efDLWUEI7GEF4ixL99jN9tfH4qa98o/VuwGMGMyvrZKC/fT1qzK/rC+pizOVCilNAVkJqOQp4PR/IZQ1LyW5PV63YnffuMEhhYnzj879fmuK2cMZ/2v5yXsO2lYERaLwGFrDB0GWh8NKHCzbm+NGdD5QG2AfLedj7dXsHJnYtCDN9fsA7R3iLuzCi5gMYAQ4ol2aMsRc/lzn+F12HDZrRyoDTJhSAFzj+trrqk5UBugb56LAQWaOnzH147j5SsnUxeMpHTmSNelvi1cNf8zyuuCHKu/CN12q2lumv/xTnZW1JsjoitnDAfguP555vHxpkJjtF1Rp3kV5rhs/HXJNibfu6jFNtQGwvQvcFEfjNIQipgv5xyXDV8wwqpdVdTrHkc9AZfdyrSRqZ0pDDPLBScPYcao3hzbP4+H3ttsau/BSIyNB3yEIrHG/FpZGOkbwslhs5ifaxrCTWJJ5uneJYYHpddpoyEUQZI42DEsa8agqTbpXg+Eoy0uZjc0rkCc4KpuCOO0WSj2Oqj2t2/EjmA4So7TRlVDyBRc3SXiS7oYcrp3jrOJK7xZxqZpXNP1+90wD5bXhSjOcdIrR5uHO3FQPrsr/XzrL8sTjjcsOvuq/Z1X4wLqhBAvAl8TQjwX/9cejWsLeQ7B0b29eJ1WXDYrZT5tpXihx8FLn+7iW39ZxoHaIP3ynQws0LwOh/fOYfLwYmwWYWo73rhRWvVhBCgtrwuyZk91s/vfWX8QwAyomeeyJ8xt7a3yU1YX5JYzjqHYq91Ew+Jc0p02C+G4BYSFHgd+3bMsXRNVrT9M/3wXW8rq2HyorlFwOTXz4fsbNBNpF1K4s4aR02losZfnLjuZIq+D8rogTy/VHAFC0Rg1/jBThhdn1aPOHWcqNLScTQd9WuidOMFlLLKO/03rAhGq6sPcMHekmU3ASFWl5Q1ruoziO48vN+eDU2HMccWbCvdU+RlU5CHHZTMF2+rd1Xykx9FcvCtsJj88UraX1zP7D6Xm90BEW89W3RA2BVdODxl4GRgaV1ELlhKn1UK1P2SuKzM8UkHzqh2kx9ecOLQw5fEDdEvRIV+wQzXa1tZxnQPchLbg+Jd04liFTqtmk/U6bbgcVsrrQuQ4bRR47HyyvZKVO6v4YFMZffNcFOhmFCM6Qo7TZtqG7XEvgarDiLj+4HubOPdPH7VazgjAmuOyJUxo76n2U+7T4twZL59hvRrnmZw2qxnBPBSJmZ5KLruW76k1pJTUBiL0y3Pz4ie7dI9F7ThjjszjsHHVzOHpXXA3J3lUaZjijN8sFIlRWR+iyOsgm57gRrSPHKeNQv3+XbyxjKeXbje1KGh0RzcGHbkuG5UNmmnzqF5eXtZNhcGodg2BiBZ1JTlVytq9NazYnmgmiscfjpLvticIrv01fgYWuPR1idr5rnjuM6598XMA/v5l6LDm01JxsDbAtvJ6Fn55kGhMm9fqm+eksj5kLtLvLqHK0sWIs1mU07zgqmoI6ZkQ9KkKp5XeOY3vwQKPg5+dNoofTBnGVTOHN8kPZjh/HfIFOrWpECnlPinlxfFxCjtjrEKrENSHNHNB4kOe+CP2z3czTP8x+uUZYVi0fT+ZdTQ3nd6YNt2YGwuEo2mHkEo2uTSH02Zlx31nY7UIHvn+eP551RSunnk0/1uzn4+3VVCc46DA4+CUo4rMGws0ARWOap5hW8rqTCcPp92a1gizNhAx58MMjBFajsuGLxChLhjuMWbC1hhcmPjgGqP5N/WlC8FIjOteWpX1RezGGjSX3cJVM49m6S2zmDxcWw84Lc5LctzgwoQoDU6bBSm1Z2F0v1xzezAqtegSVgu5uqNOMuEW5r38oShFXkdCrMSDviB98lx4HY1a4SFfMEFzz5QZ1fCo/c2bX2qelTYrRV4nVQ0h8xnsLqHK0sXQuIpb0LiM+W9jjVuuy24urDecWq6fM5JCr4PvnjSYZJtLXTBCgcfOodpgp17H1WUwkp1qqdm1G9ara1zxFHrsXDR5KOt/Pc90PjAevpvnHcNFk4eaZY05rsn3LuL5j9OT1YaH4MIvD6bcb00RNmjMwHxOPqqIsYPy+WBTGftqAuS5tFXu/7hqSsKDr2lckqVbyinzBelfoAlfly09U2FFXZDiHIc5Ul7363lmmwxTYV0g0uPMLM1RMro3a+88Pe57H84+sdH5wnBCaM60kkkev2gCw4q9OGwWBhV6+N23xvL8j05hbFxUhpOPKuKjWxsD2xj3jsNm4Zh+ecw7vi+gaVzG/GaO00ZlfZhXVyWuSbO1EOLKH45R4GnUuL7cV8vTH26jb64Ld1IIs/hBUqasz4ZgnHtsX3MtW5HHTpkvaD63nSWtSXthyOmWTIXGfLoxVWE85ycfVcRpx/VNKGsMZOPxBcIMyHezo6K+c2tcXQXDZp/vtpuCK1njunneaIQQWrr2uBdzQ5L3oDDt/0akhDBfxXkhttgO/WG/6d+rU+4/rn8er1+bOveO4SVktwqOH5CfsozLbklIdmjaqvUIHAaGZvDelwcT3F8Ns5bxwo0XUIapsC7YNM5ZT0UIkTAg6Jfv4rELJpjfQ5EYHoeVG08blfW2nDGmvzk6BhhS7GnWqSQZmz6ye+D8cbx34wyCUWnGuPQ4rCzbWs6N/1hNJNo0FmYqAuEoRZ5GjeuBdzeyo6KBvnlOvPqiZ8OcGp+a3pohyWXUW+sP49fXshV6HWw84KPA4+D62SPaZTDRmXCYGlfzC53DUYkQMKpvbsL2f141halJ6xvz9HWhUkrW7dUCcfsCEaobQgn55TqCbiO4jGfs+jkjTRU2lakwFVImPqR2/SHfVx0wBUC6j5vhidXc4jx/uPn1D33ztBvul+cc12wZp63RHR4ahV2vHAeDCjycfUJ/3VTTOMfwx0Wb+ePCzWwtq6OiPkSx19nkxoXGify6YLjHzQ8cLjX+MJGYTHDq6YwYFokcp40hxR4CEe1e1AY8NjMSR7x3bUvOOQ2hiGYqDEepqg+Zpqe+eS48Ti0rr6H5xC8rSTY+7q328++k6CPpYMyx1fjDZrzGMQPyeffLg/TOdfKz00f3OK/CHDvccsYxrTpNxOeja2nBuMtuRQg4+5GlnPPoUp76cBsV9SHzvui0QXa7EgIYWuxhYKG70dnA1WgqzHHaOPXo1BEN+uY5OX5go4ZjaE1uu5XdenZQS5ojxap67WE1stEmY9jjU2EI2ZYeuGSNa1Chm5vnjWZggZt8j53HLpyAx5kYtPeDzWU8tHATN/7jCyrrQxR7HZx9Yn+233tWwrm9psYVIcfZsx76w+VATYBeXoemxTusnXbRa7znquF5+J/P97K1rB6vw8aGA1p4n/i5uubmdaWUVDWE6V/gxh+OMv4375mRxXvn6hpXOMrSLeXkJt2LyZ6Xr36+h5v+ldo60RINoSj981264NKWBJw0rJAaf5heLTgndGcsQvDjkqNbLRc/9zeslSDaXqeNL/dr98bdb34FYM6VtvdavXi61bB6yc2zAEyTmddpM+29b/90OoOLUkeBeP3aaQlzT/luOzaroNBrN4PWpmvhqPaHuf3sY7n7za9Yt7eGUX1zE15moRbSLRhmoJZCqTjj1nGBNir6yazElBmeuMlxaIxrN6pvLpX1jQuLk0fUuS5NcNUHI2aqD0XL7KioNz1EX7pyctoDnPbk6R+clDDXK4TAaYW6YJiLJg/B67RxsFbTtPbFC65mzlfj19ZrFXnsbCnTjjPuscGFHi3MVDDKr/6rpVNxRCymCTKSFH7/cD0x/aEI/fJdHKgJEIxommNBGtaVns4TF080n+2v7jqjVe3MWCYxYUgBn+sRNR7+3jheWbmHM8b0a+HI7NIt306N7t2a/f62s45tMR9O36RAsq/9RJuDuuEfq0xzR7prdKobQhzdW0vsd86jSwHYcd/Z5v5QtOU8Qf+55lROHJh6fgs0odYQbmyLsc4oHrc9dX6vYCRGrT/c7AOek6BxdctbI+Mc8gU5aZg2l3LioIKObUwzzDm2b5NtLpugoi7EhCGFpinvxEH57K32m+bx5sxI5zy6FF9AS8ljLCM55Avyr6unkO+x43XYzLRCDquFmJRU68/RLj2wszFvGIlbVtAWbVXTuNxsPKCtZYu3YqQT9qyncvrxjcImnXVYId3z1Ih9CZpF6IdT2xbbMtN0TrvGEWKowl6HDSEEV8wYnjCp3Rr98l30y3fhddjMtVzN5ctKpipOcKWitQd0wpBC0/U5FS67lVCchu5IUdbr1Ew18S+eAo8df0ibd8h3pzYDGqbCeiW4WmXhz2bw6PfHA9AvL/P5rrKN06pFksl1NaZ/nzy8mH3VfgLhKA6bhUAkltJcuKfKz9fHDSAmGxfUQ6M3m9dpM03sxTkOvE4bh2qD5Oi33Wtf7DOPMSwabU25Uh+MMLCg0VRozGuffUJ/Zo/u06ZzKVqmwGNv0VGnI+iWgsvwYjrS+Qa3w2p65DWXoTieQDhKLAaDi9wJLtP7axrNL0eagC352FTXaJgKG8JRU4jbLBYWfnWIl1fsblZw5eppUeoCylTYGiP65Jqm5wEFXS/1i8sqOFgTIMdlMxfdTxxayN4qP/XBCHkuOxZBwuJmaHS0uOn00cxN0uSKPEZgXytr99bgslt46YrJ5DhtHPQFyHEIpo/sleDoZLhbtzW8WrU/zIACNw2hKD/6+2dmCpPHLpzAdXNGtulciuaZd3xfvj1xkGnSnZ6mF2u26ZaCC+DcsQM4uk/zmk86eB02c9I5HY2rIRTF49QizV83u3HeaaPuSt8QimC1iCMavdiTNKxUayk8+jqa+mAEr9PGrNG9+fq4Aeb+5LVtBjlOG4d8QepDUTw9bA3M4RCf3LGr4bQZGpedGn3Zx9BiD7ur/GYYKJfd2iT6e5kvyMACN4OLPPTOdRJ/K+ebqVRs7K8JEAjHGNbLS47Txg+fWcGBesnovrlsOFDL6t3VAGZCzNo00vHEU90QTvAYTifdvKLt/PXik/j5GceY3+c3E4y6vem2guuR748/YndYj7Mxsryhcb2xeh81zYSCCsVpU0ZaCdBs7vOX7+Brjy5lcKE7IzEAB+S7uGrm8JTn8uoLiX36QuJnfngy35s02NzfnMaVKk29onkMwdW/KwouqyAmtXth7OACThyUz5AiD3uqGkwHHrfd2iRDwiFfkF658ZFcmt4zyYOpvLi00h6njec/3sXXH9PCom0rq2dwkTvtiDMG1f5wwgCsuXQeiszQQflBm6XbCq5MYKS0hkaN67qXVvH8J6mjaAQjUdN0ZzxUFqEdu2xrBVvL6hlUmJn8Vg6bhV+ceWzKfUYEjPpgxFyPFb+ItjnBpYLqtg2XQ/utjbhvXQlDluS5bEwf2ZvXr51m5obbU9XQqHGFogy79U3KfEHmPfQBH2wqM2MlQuPSkfjoHcnTrvlxg7j49W6xmOSQL8DovrnmXFe61DSEEpyMOioPWE9h1jF9ErJUdDRKcLWAx2Fj00EtM2i8p9JD720iHI3xxaEIf9OjhIMxf6U9mMZIdECBm0A4akZgHjMwMz9+S0LG67RRH4omeAfGj3pbSiH+rQmDMtK+noCh0ffJQkr2bGPEtctLGsT0ynFy87/XmFE1yuoMd/c6Nh708fa6/Qkmuru+fjx3fu04/vuTxmgw00f25uZ5o/ndt08EEr3XPHFOP5UNWiDsXjnONs9xVTWEKXDbmTi0EKtF8PfLTm7T8Yq2cfHkobz10+kd3QwTNQPfAh6HlU0H68xFlIbwisQkuyobeOGrEGWff8lletpzw3XUwGYRjB1cQEMoij8c5YrpR/H/Thudsq620pJu5HVograyPmRqV4b55s8XTmgxVMvvv30it5yZmTZ2d1x2a8JSh66EER0s2ZxumItDkRguh5Vteibx7eXaOq0yXzBBY//G+KYDHbvVkrC20LA6/2qyi5y4sGSHaoP0yXWR57ZT64/wxup97Kv2c9XMlhfRRmOSumCEPLedv148EZtFqDVcPQylcbWAV18Pds83T6AuGEnILJzKJh+MRM3QNwBbfnsWI3rnaB5+wQjH9s/L3NxRC6fxOm38pXQrb6/bb2oDQgj65bkYF2fSSYXFIuiT2/XmbBRtw7h9kr1SjWgI3zt5MG67hd2Vmkfsdj2PV1VDuFnnntYYXmA111gCrNtbg9dpJd+tLfT/w7sbufftDQDsrmxIiDwfjy8QxuuwYrUIeuU4ldDqgSjB1QKGEBo/uIBINMah2kbB1RCKJoRegtSu7m6HNsHdEIomPLRHSkviz5iP+3BTOcfE2aU//r85pslS0bOJNjMlZHj3fWP8INx2K3uqGrCIxsgY0JhdOV3il4LFrw/8fFcVU44uJs9lo9YfNq0CkWiM6b9bzO/e0YSYLxA205iA7lHYQgR0RfdHCa4WOGlYETfMHcngIg8eh7YWZdzgAvrkOnXBlfj0ByMxHElxCA3XdH/cmqpM0NIc1wUnD6HAY8cXjHRJV21F9kkRcAWAC08ZwqWnDgO0QdfuKj+ThhXxlR6vDmizhnPBKUP4kW5ON54Bu1Ww+VAdo/vlkacHyzVM8UZsPCOCx6n3vs8tr6wxz1fVEGqz8FR0L9QcVwsMLHBzw1wtXYXbYeVgbZBhxR4GF3loCEWoT7IWBsNNNS4jxUN9MJJZwdXCvkKvg9OP68s/P9vTrAehomdz2jA7p5zQNBVLfHoWl65xnX/SYB59f4u5va2mwsnDi5k8vJjS0kOm89LwXjms21tD31wnDeEoh3xBDvmCjO6ba6573KD/9wUjfKHHyQNNcOUr82CPRmlcaeJ1WDlYq0Ua8DqsVOtrueIzBaeKQ+h1WqkPRTJuKmwpLBQ0TrorwaVIRS+3xXQqag63XRusDShwJ9xHRzKnZHi0juybQzASo0+eizyXnXV7axhU6KZXroPt5fUc0y+X9XtrTBOh4XXYEIpw2bOfMbALRitRZA4luNLE7dDireW67LgdVp78cBugLVI2COrpFeLxODSPxICe+yhTtBZ9I1cJLsURYsw59cpxJqS/OBIzXe9cJzvuO9sUYH1yneS7tWdkWLGXArcmuIYVe/E6bVTU6clc/WGq6kOU+7TvbY20oeheKMGVJqbG5bTh0R0uCp0iISdNKNq4jss8Tk+qpyW7y0x3f3OknZ+1knHXiDXY05LpKTKHMdDqneukKM48mAnHCGPZiNdpM9eS9ct3ke+xs728nkKvnVyXDV8gjEVo813jf/MevqCmebV2/yu6N0pwpYlHDxSa67KR47RTXhfilP62hFhuqea4PA4bDcEogUi0iVA7XM492sGsY1qOgG0oZJ01saGi82Os9+ud62TiUC11ywPfGZsRLT4+0oVxvl45Tgp1wVXgcZDrslMbiJjR6wHqAhEmDStsMQODovujnDPSxKPb+3OcNjNZYG+PIKinfhBC6BpXU+eM+lAkIfVCexBVIXAUR4ghuIq9Dq4pGcHl04e3uHi9LZw4KN8MR2YM6OqDEfrluQhGYhR5HHgcWsgpr8NmRpHP9FyxomuS1TepEOJnQoil+udHhRClQoi/CSGsSeWGCCHeF0J8IIQ4X99WIoTYqR/zXDbbmQ4ep5VQJEZOnGmj2CWwWy0EdXNhMNzUOUPLBhtJCAfVHozsm9tudSm6J0bWYpfdisUiMia0AL4+biBr75xnfn/8oon8aNpRpsdigceup+eJJCRxDUaaziMreh5ZuwOEEE5grP55EuCQUpYA64FzkorfAtwGzAIuF0IYQ6r5UsoSKeUl2Wpnuhiu7DkumzlSLHZbcOuBSAFC0WiTxI5GMkqbRZgBSduDmaN6d9lwRIrOQTo56DLFGWP6MaDAbXosFnocuB2aKT7eHK/NFauUOz2dbA5dLgf+rn8eDhgrCL8ApiSVHQ6skVJGgYOAEejs+0KID4UQ389iO9PCCP+U57KTpwuuIpfQBJf+YKXKbmyYB9tTaCkUmWD2sX355viB7VqnoXENLvLgsWsJUYPhGKvvOB2nzUIw0r4md0XnJCvGYiGEHZgppXxMCHEXsBH4FvAYMBsoTDpkIzBTCFEKTNb3fwYcAziAhUKIhVLKsqR6rgSuBOjduzelpaXZuBwADu7T3HA3rlmJ4YkbC9RDxELp0uUMyLGwfWeQBo+FUrm7yfGhSCxj7aurq8vqtao6VZ0G5/alXe/b3T7NPLnry8+oLAvxhe8g4WiMlR8vJRSJsWb9RioaYpSWVmW03kzTU+rsKLI1y3kx8KLxRUr5hRBinRBiMbAOTauK517gr8BPgA3AQSllnb4vLIT4ABgJJAguKeUTwBMAo0ePliUlJVm4FI1Nlq28tmUDZ82ZidthZfYMPxtXfUKvQisnjDuREwbl807lWo4dkEfJ5KGJBy94E6/DRqbaV1pamrFzqTpVnZ2pzlAkhrPfXk6bNJhVoQ38uXQrALNnzcL5/tv0HjQUTzBCSclxGa030/SUOjuKbOnco4EfCyEWAMcLIa6TUt4lpZwFVABvxheWUh6UUp4HfBsIAtuFEHkAuiPHJGBHltqaFoYnobG2xUge6LFrXoMA4WisyRyXgQoKqlC0jsNm4Xw9W3dyiDSXXYtYo+a4FFnRuKSUtxifda/Cx3QzYBRYJKX8RN/3qJTyOiHE2cBN+v5bpJRSCHG+bgqMAS9JKfdlo61HisepeT5B6jkug8LDTAWhUPRU3Elu7267lRp/uMVEqIqeQdYXREgpp+kfS1Lsu07//yZNtbCngKey3b50+d7JQzg2Rerq0o1lrNpVzeo7TiccjWFPoXFZLYKJQ4vao5kKRbfB0LgGF2nWDbfdyqur9qqoGQq1ADldcpw2po7o1WT70GIPOysagOY1rjV3nK7MGwpFGzEE19s/nQE0RoGpSZHEVdGzUH6lR8gfvzeeMQM1TSwUjWFPkejI67Qpd3iFoo2Y8Qx1AWaEibp+9sgOa5Oic6AE1xEyok8OWw/VE41JgmpxpEKRMaJ6xAwjaWpAXy+Zr+aLezxKcB0hOU4bOS4bX+2vpaohRKFKcKdQZITkcJvBuEwMip6NmuPKAGW+IOc8uhSAQq8aDSoUmWDe8X156YrJ5vdAKNpCaUVPQmlcGeCsE/qZn5XGpVBkBqfNypSji83vvmAEoaaKFSjBlRH+fOFETtLzFaVyh1coFEdO/3wX4wcXdHQzFJ0AZSrMEL/79onUB5UpQ6HIFm9eP12lNFEASnBljOEqI6tCkVWKVNg0hY4avigUCoWiS6EEl0KhUCi6FEpwKRQKhaJLoQSXQqFQKLoUSnApFAqFokuhBJdCoVAouhRKcCkUCoWiS6EEl0KhUCi6FEpwKRQKhaJLoQSXQqFQKLoUSnApFAqFokuhBJdCoVAouhRKcB0BEydO7OgmKBQKRY9DCS6FQqFQdCmU4FIoFApFl0IJLoVCoVB0KZTgOkKeffZZRo8eTUlJCT//+c8BiEQiXHzxxUybNo377ruvyTElJSVEIhEAduzYwUUXXdSubVYoFIqujMqAnAFuvvlmLr/8cvP766+/zrHHHsv8+fM555xzOHDgAP369evAFioUCkX3QWlcSTz77LM89dRTANx5552Ulpa2eszDDz/MjBkzWLRoEQDLly9n7ty5AMyaNYsVK1a0eo5du3ZRUlJCSUkJffr04cMPPzz8i1AoFIpujNK40mDXrl1ccsklCdsGDhzI448/znnnnccll1xCRUUFp59+Op999hnV1dXk5eUBkJ+fT1VVVZNzzpkzByEEgUCAESNGMGTIEEpLS1m1ahV33XUXU6dObZdrUygUiq6GElxpYAiVZHw+HwUFBQD07t2bUaNGcfDgQQoKCqitrQWgtraWESNGNDl20aJF2Gw2duzYwe233w5AZWUlN910E//617+wWJQyrFAoFKlQb8cUHDhwAIBt27YhpUww4xl/F154IYApoPx+P5s3b6Z3795MmTLFNBsuXryYSZMmtVpnLBbjRz/6EQ888ABFRUVZujKFQqHo+iiNKwULFy5kyZIl9O7dmyeffJIXX3yxWY3roYceYsGCBcRiMW699Vbsdjtf+9rXeOWVV5g2bRpnnXUW/fv3b7XOjz76iI8++ogbbrgB0ObNxo0bl9kLUygUim6AElwpuOiiixK8BFvijjvu4I477kjYZrfbeeGFF5o9Jl4IDhs2jOeffx6AQ4cOtb2xCoVC0cNQgiuJc845ByllWmU9Hk+WW5MaFSNRoVD0ZJTgSqJXr14d3QSFQqFQtIByzlAoFApFl0IJLoVCoVB0KZTgUigUCkWXIquCSwjxMyHEUv3zo0KIUiHE34QQ1qRyQ4QQ7wshPhBCnK9vswkh5gshlgohbs1mOw+XhoYG3njjDSZPnsyUKVN44IEHANi3bx8TJkzA5XKZwXTjuffee5kxYwaTJk3i1VdfbXO9p59+uvk5PkSVQqFQ9ASyJriEEE5grP55EuCQUpYA64FzkorfAtwGzAIuF0LYgHOBr6SU04BpQohOGaV27NixfPTRRyxbtozXX3+dmpoaioqKWLRoEZMnT055zE033cQHH3zA4sWLuf/++9u5xQqFQtG1yabGdTnwd/3zcGCN/vkLYEpS2eHAGillFDgIjNDLLNT3LwZaDz+RAQKBAGeccQaTJ0/GZrMxZsyYFssPGTIEq9WKEAKr1YrFYsHlclFYWNjsMXa7HdCibaQ6/7hx47j00ks54YQTePXVVzn77LOZOHEie/bsafacr7/+uhnVw+12p3m1CoVC0fXIiju8EMIOzJRSPiaEuAvYCHwLeAyYDSS/1TcCM4UQpcBkfX8BUKvvr0lxDEKIK4ErQYsVmE4k92SS10S9/PLLTJo0iZ///Oc88MADjB49moqKCs4777yEclarlddeew2fzwfAu+++y9ChQwHMbdFoFJ/Ph83WtJtvvPFG/ve//3HPPfeY5Q327dvHe++9x+rVq7nppptYsmQJ//73v5k/fz7XXnst69evZ/r06QAcPHiQ66+/nlmzZjFr1iyefvppZsyY0eScK1eubHPfxFNXV3dY/avqVHV2ZJ0dVW9PqbPDkFJm/A+4DDhP/7xU//8rNM3pUeCupPJ9gdeAN4E30DSw3wMn6/t/BpzbUp2jRo2SmeDee++V//vf/6SUUi5YsEDefffdzZatra2VUkq5detWWVJSIuvq6hL2z5w5U4bD4WaPr66ulscdd1yT7aeeeqqUUsrt27fLCy64QEop5eLFi+Xtt98upZRy8uTJZtlnnnlGPvnkk1JKKZcvXy7PP/98GYvFWr3OtrJ48eKMn1PVqersrvX2lDqBz2QWZEhrf9lagDwaGCeEuBo4XghxnZTyLuAuIcSdwNtJwvMgcJ4Qwg3MB7YDy4E5wKdoc18vZamtCYwcOZKVK1dy9tln8+mnnzJy5EhCoVCCQwQkalyXXnopzz77LF6vN606gsEgTqcTt9ttpj+JRwiR8rNsIaLHwYMHue2223j11VcTjlEoFIruRlYEl5TyFuOz7lX4mG4GjAKLpJSf6PselVJeJ4Q4G7hJ33+LlFIKId4AvqUf/5aUcn822prM17/+df7zn/8wc+ZMBgwYwC9+8QtsNluzQXb/9Kc/sX37di677DIAnnnmGQYNGsSZZ57J6tWrmTdvHr/97W855ZRTuO6663j00Uf56U9/yoYNGwiFQtx8880ZafcTTzzB7t27OffccwF6jslAoVD0PDpCzcvGX6ZMhW3BMBX2hHp7iulD1dm96uyoentKnXSQqVAtQD4COirIbkfVq1AoFJ0BJbgUCoVC0aVQgkuhUCgUXQoluBQKhULRpVCC6whoaGhosu33v/8906ZN48ILLyQcDqc87txzz+X2228HNO+/oUOHUlJSwiWXXGKWee6555gzZw4lJSXs3bu31XrjufTSS9myZYv5fdq0aWlfk0KhUHR2VCLJNFi1ahVLly5l+/btPPjgg82WKysrY/HixSxdupT777+f1157je985zsJZVavXk0gEEjYdvHFF3P33Xeb3/fu3cuSJUtYtGhRZi8kiZdffpm1a9dy8skn8/Wvfz2rdSkUCkWmUBpXEqliFY4fP57x48czfPjwFo/99NNPKSkpAWDu3Ll8/PHHTco88sgjXHPNNQnbXnrpJaZPn85LL2lrrN955x2i0Shz5szhuuuuIxqNJpS/+uqrueGGG5g6dSr33HMP1157LRMnTuRvf/tbs20LhUJmLMMhQ4Ywf/58vvvd7+J2uxk5cmQ6XaNQKBSdAiW4kvj3v//NtGnT+Pjjj/nNb37D3XffzYIFC/jVr36F0+kE4JprrqGkpISzzjrLFAZr166lurrajISRn59PVVVVwrk3bNhAnz59KCgoMLeddNJJbNiwgQULFvDII49QVlbGwYMHCYVCLFq0CI/Hw3//+98m7Zw5cyYfffQRzz33HD/60Y9YtmwZTz/9tLn/wgsvNNsG4HA4KC0tZf78+YwePZpvfetbXHbZZZSVlTVpp0KhUHRmlKkwiT179jB+/HgAJkyYwGeffcZtt93GGWecYZb585//DGiRM3Jzc83tu3btMuejamtrEwQUwIMPPshdd93Fhg0bzG05OTmAFjF+xowZbN68mfz8fGbOnAnA7Nmz+eyzz5q004gq379/f8aMGYPdbk8I9fTCCy8wYsQIoHGOKxgMcvnll/PXv/4Vj8fDM888cxg9pFAoFB2L0riSMGIVgmb6O/roo5uUaU7jmjRpEkuWLAFg4cKFTfJx7dy5k0svvZSf//znvPTSSyxZsoTaWi0AfjQaZcWKFQwbNoxTTz2VNWu0LDBffPEFRx11VJM2NBfPsCWuv/56brjhhlZNngqFQtGZURpXEqliFSbTnMYFMGPGDKZNm8aQIUO44YYbAMwYhe+88w6geRIuXLiQmTNn8tRTT/HEE09gsVj4/ve/z4ABAxgwYABut5uSkhJ69erFjTfeeMTXtXv3bl566SU2btzI/fffz6233pqgRSoUCkWXoSPiTGXjT8UqzC49JfaaqrN71dlR9faUOlGxChUKhUKhaB0luBQKhULRpVCCS6FQKBRdCiW4FAqFQtGlUIJLoVAoFF0KoTmGdH2EED5gYztXmw/UtHOdHVVvL6C8nevsiOtUfdu96gTVv9lktJQyt/VimaU7rePaKKU8qT0rFEI8IaW8sj3r7Kh6hRCf9YT+VX3bverU61X9m706m4b1aQeUqfDIeKOH1dvedMR1qr7tXnV2FKp/s0h3MhW2+6iqJ6H6N3uovs0uqn+zR0f1bXfSuJ7o6AZ0c1T/Zg/Vt9lF9W/26JC+7TYal0KhUCh6Bt1J41IoFApFD0AJLoVCoVB0KdpVcAkhThFCLBNCfCiEeEjfdrMQYqkQ4gUhhF0IkSuEWCSE+EAI8T8hRK5ebrYQYrkQYrEQYlCKc6fcL4RwCyEOCCHmpjhmjF73R0KIE/Vtv9DrXiGE+Eb2eiPzqP7NHqpvs4vq3+zRLfu2PUPRA/0Al/75BWA68Jb+/RbgO4AL6K9vuwK4Tv+8GMgFTgEeS3HulPuBnwILgbkpjnkVGAwMBP6rb7Pr/3OAjzsiZL/q3873p/pW9W9X7d/u2LftqnFJKQ9IKQP61whwIlCqf18ITJZSBqSU++PKRIUQHsAvpfRJKT8Bjos/b3P7hRAOtA5d2kyTiqSUu6WUe9FWnSOlDOv73MC6I7vi9kX1b/ZQfZtdVP9mj+7Ytx0yx6Wrh72AaqBW31wDFMaVyQGuBF7Ut9fGncKadMrm9v8QmN9CUyypPgsh/gysAd5v+Uo6J6p/s4fq2+yi+jd7dKe+bXfBJYQoAv4E/AitA/P0XXn6d4QQAvgbcJuUshqoiisHEBNC9BZClAohSpvZbwPmSSnfTqp/kX5cPyAWf4zxQUp5DXAMcNsRXWwHoPo3e6i+zS6qf7NHd+vbdo1VqF/U88DNUsoDQogVwDXA74C5wMd60buAj6SU7wNIKRv0yb4cNHX0SyllGVASd+6E/UBfYLAQYgEwAjhbCLFSSjkn7phKfUIxhh6cUgjhlFIGAT+Jo4lOj+rf7KH6Nruo/s0e3bJvW5sEy+Qf8H2gDM2+WgpMQZscXIqmmjqAAUAorsyP9WPnAsvRJgOHpDh3s/uBO0k9SXiiXvdHwDh92+N6vcuAb7Zn/6j+7bx/qm9V/3bV/u2OfasiZygUCoWiS6EWICsUCoWiS6EEl0KhUCi6FJ1CcAkhBgghPhdCBIQQNiHEOMNzRQixXQhxQ1L504W28nq5EOKeuO0PCW11+B9T1JErhHhDaKu1L9G32YQQ8/Vz3Zr1C+0gUvSvRQjxvBBiiRBioRCiV1L5lP2i+rcph9G36t5Nk+S+1bc9qr8X/iaEsCaVV/dtGziM/u00926nEFxAJTAH3btFSvmFlLJESlmC5tf/v6Tyi6WU06SUU4BTheaiOQHwSimnAw4hxKSkY64AXgJmAJcLbZHcucBXUsppwDShuWp2RxL6FxgHhKSUM4FngAuTyjfpF9W/zdLWvlX3bvok9K3eLw79vbAeOCepvLpv20Zb+7fT3LudQnBJbdV2VfJ2IYQX6Cel3KJ/f1QvH9a/W4EDaO6TU9BWgaP/nxx/jLFfShkFVgOjk45ZDCR3ercgRf/uBQyvnAKgApr2lf7Z6BfVvyloa9+qezd9UvTtcLSBLMAXaH2g7tvDpK3925nu3U4huFrgTGCB8UVKeZ3xWQhxJbARqJCa/38BKVaDxx2Tan/KY3oA5YBTCPEV8GPgP3B4faX6twmt9a26dw+fjcBM/fNsjqCfVN+mpLX+7TT3bmcXXN9Af/CTkVI+gSa9BwkhxtPMavA4Uu1v7ZjuyulAjZTyWLS1Fjcl7a+m7X11OMd0R1rrW3XvHiZSyi+AdUKIxWjXfDCpSDXqvj1s0ujfTnPvdlrBJYSwA8dKKVen2OcE0NXPerTV1svR7LWQuBrcYDkwR1dzx6GNGuKPmQWsyOxVdFoEmn0bNA0hP2l/qn5R/ZseLfatunePDCnlXVLKWWgm2DeTdqv79ghpqX87073bKQSX0PLBLATGAu8IIU5BU1XfTypn2E1/qHu+LAW2SSk3SCk/BwJCiA+BmJTy06RjnkKbKP8Q+Juu5r4BjNHPs1w2RkfuViT3L9pNeazQ4o3dBfxZL2f0VZN+Uf2bmsPoW3Xvpkmq94Led4vQHGA+0cup+/YwOIz+7TT3roqcoVAoFIouRafQuBQKhUKhSBcluBQKhULRpVCCS6FQKBRdCiW4FAqFQtGlUIJLoVAoFF0KJbgUPRohxKX6Xz8hxGGlYxdCDBNCzNY/H/Z5ks45To8Dl7x9oxDiGf3zs0KIEUn7m2zrCIQQOUKIj4UQz3d0WxTdDyW4FF0GIcQR369CJ3m7lPKAlPKeVMekwTC0dYdHep54xgFNBBdQJqX8YQbOn1WklHXA9zq6HYruiRJcik6NEKJECPG6EOINYJ4Q4nKhpVD40NBIhBA/1kf3i4UQo4UQQ4QQ7wstlcItepk7dU3lHaCPEOK/QogFwDx9/zBDOxBa2oY/CSG+EEKcoW+7Wq/jfn1xcTxXAhcLIRalOM+jQojVQojvCSH+I4RYI4QYq+8/RwjxgRBimVFP0jlvFkK80EoXXSe09BB3NLdN1ygn6p+/0LWytUKIbwgh3hRCrBRCDEpz/6P6/28IIT7V+/ksIcSpQohP9O+XpfHTKhSHj5RS/am/TvsHlAAL9M+9gNfRwioVAa8BfdAirFj1MhbgMWC6/v0dYABa3MBf6NvOB27TPz8BXIqmNT2vb9ukn3cg8CpgQwtlYwVOAUpTtPFu/XPyefrq9R8AXMCpwCN6O0v1czuARUnnvBS4PEV/LI37/CzwDf3zJ81tSzr+YFw7PtfbcQHws3T2x53neWCY/lkAdwMlxvfkvlB/6i+Tf7Ymkkyh6Hx8rv8fjhaeZnHcvqOAz6UWPw0pZUwIcXTcMav0MgAr486zKmlbPGVSykMAQogCNIG5S0oZFUJ80YZ2l0kpD+rn2SqlDAgh9qFFw+4FHEtjeoc+QgghpWxrKJt1+n9/K9sMtsS14yu9v/bpbUlnv8HdwO1CS0B4D1poq9uFED8CHgU+beN1KBRpo0yFiq5ATP+/HVghG5OMngZsA8Yb81/6/23ARP2Y8cCOFOcZG7c/mXjhIdCC5Q7Wz31iivJhNG2spfOkOudaYI5+LWOThFZz52ypjpa2pdOmdPYb7JRSXo6msf4MqJJSXgPcAvy6xRYrFEeIElyKLoOUsgx4U58XWgzcqm97BVimbxsJ3A/cJYRYhmbW25t0qtfQMri+g5YbqLV6I8DfgWVoZrNwUpF1wFQhxD/acC0x4EFgkd7uh5OKfAxcJBqDlR428XNcGTiX0Z47hRBL0LSrfwBXCSE+QMtW/mwm6lIomkMF2VUo0kAIYZNSRoSWueAyKeVVHdSOUmC77OSehUKIHLQksCuklDd2dHsU3QsluBSKNBBC3Aich+ZI8QMp5aaObZFC0XNRgkuhUCgUXQo1x6VQKBSKLoUSXAqFQqHoUijBpVAoFIouhRJcCoVCoehSKMGlUCgUii6FElwKhUKh6FL8f1IxL9qf38yKAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_freq_trace('freq_meas_trace_2h_2',\n", + " xlim=[pdate('2020-04-03 17:30'), pdate('2020-04-03 19:30:00')],\n", + " smooth_sec=10,\n", + " minor_locator=dates.MinuteLocator(interval=10),\n", + " major_locator=dates.MinuteLocator(interval=30))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot raw mains voltage spectrum\n", + "\n", + "First compute FFT of voltage, then smoothen and plot" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_voltage_fft(data):\n", + " # Number of samplepoints\n", + " N = len(data)\n", + " # sample spacing\n", + " T = 1.0 / sampling_rate\n", + " x = np.linspace(0.0, N*T, N)\n", + " yf = np.absolute(scipy.fftpack.fft(data * sig.blackman(N)))**2\n", + " xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n", + "\n", + " yf = 2.0/N * np.abs(yf[:N//2])\n", + "\n", + " average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n", + "\n", + " average_width = 6\n", + " average_start = 20\n", + " yf = average_from(yf, average_start, average_width)\n", + " xf = average_from(xf, average_start, average_width)\n", + " yf = average_from(yf, 200, average_width)\n", + " xf = average_from(xf, 200, average_width)\n", + " return xf, yf\n", + "#voltage_fft = compute_voltage_fft(data_interp)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "application/pdf": 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\n", + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_voltage_spectrum(xf, yf):\n", + " fig, ax = plt.subplots(figsize=(6, 3))\n", + " fig.tight_layout(pad=2.0)\n", + "\n", + " yf2 = np.copy(yf)\n", + " #chunk_size = 200\n", + " #for i in range(len(yf)-chunk_size, 1, -chunk_size):\n", + " # yf2 = np.hstack([yf2[:i], sig.savgol_filter(yf2[i:], 23, 3)])\n", + "\n", + " ax.loglog(xf, yf2, lw=1)\n", + " #ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", + " ax.set_xlabel('f [Hz]')\n", + " ax.set_ylabel('Amplitude V [V]')\n", + " ax.grid()\n", + " ax.set_xlim([0.001, 500])\n", + " fig.subplots_adjust(bottom=0.2)\n", + "\n", + " for le_f in (50, 150, 250, 350, 450):\n", + " ax.axvline(le_f, color=(1, 0.5, 0.5), zorder=-2)\n", + " ax.annotate('50 Hz', xy=(15, 0.1), xycoords='data', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " ax.text(0.5, 0.9, f'Run {run_id}, {time_window}', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + " fig.savefig('fig_out/mains_voltage_spectrum.pdf')\n", + "#plot_voltage_spectrum(*voltage_fft)\n", + "plot_voltage_spectrum(*compute_voltage_fft(data_interp))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot frequency spectrum" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n" + ] + }, + { + "data": { + "application/pdf": 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\n", + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_fmeas_spectrum(data):\n", + " # Number of samplepoints\n", + " newcopy = np.copy(data)\n", + " nans, x = nan_helper(newcopy)\n", + " newcopy[nans]= np.interp(x(nans), x(~nans), newcopy[~nans])\n", + "\n", + " N = len(newcopy)\n", + " # sample spacing\n", + " T = 1.0 / stft_output_sampling_rate\n", + " x = np.linspace(0.0, N*T, N)\n", + " yf = np.absolute(scipy.fftpack.fft(newcopy * sig.blackman(N)))**2\n", + " xf = np.linspace(0.0, stft_output_sampling_rate/2, N//2)\n", + "\n", + " yf = 2.0/N * np.abs(yf[:N//2])\n", + "\n", + " #chunk_size = 200\n", + " #for i in range(len(yf)-chunk_size, 1, -chunk_size):\n", + " # yf = np.hstack([yf[:i], sig.savgol_filter(yf[i:], 23, 3)])\n", + "\n", + " fig, ax = plt.subplots(figsize=(4,2.5))\n", + " ax.loglog(xf, yf, label='spectrum', lw=1, color='lightgray')\n", + " ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", + " ax.set_xlabel('Period T [s]')\n", + " ax.set_ylabel('Power Spectral Density [Hz^2/Hz]')\n", + "\n", + " intervals = [0.5, 1.0, 1.5, 2.0, 3.9, 6.3, 10, 60, 300, 450, 900, 1200, 1800, 2700, 3600]\n", + " for i, t in enumerate(intervals):\n", + " ax.axvline(1/t, color='red', alpha=0.3, zorder=-1, lw=1)\n", + " ax.annotate(f'{t} s', xy=(1/t, 1e-7), xytext=(-4, 5), xycoords='data', textcoords='offset pixels', rotation=90, fontsize=5)\n", + " \n", + " closest = [ np.abs(xf - 1/t).argmin() for t in intervals ]\n", + " w = lambda i: i//2+3\n", + " closest = np.array([ yf[max(0, i-w(i)//2):i+w(i)//2].argmax() + max(0, i-w(i)//2) for i in closest])\n", + " ax.scatter(1/np.array(intervals), yf[closest], zorder=100, marker='x', color='red', lw=1, s=4*4)\n", + " \n", + " #ax.text(1/60, 10,'60 s', ha='left')\n", + " ax.grid()\n", + " ax.set_xlim([1/(10*3600), 5])\n", + " ax.set_ylim([1e-7, 1e2])\n", + " ax.autoscale(False) # do not include noise illustration lines in autoscaling\n", + " ax.plot(xf[1:], 1e-5/xf[1:], label='$f^{-1}$ line', color='blue', lw=1)\n", + " #ax.plot(xf[1:], 1e-8/(xf[1:]**4), label='$f^{-3}$ line', color='orange', ls='--')\n", + " #ax.plot(xf[1:], np.tile(1e-6, len(xf)-1), label='noise floor', color='orange', ls='-.')\n", + " \n", + "\n", + " #yf2 = np.copy(yf)\n", + " #chunk_size = 50\n", + " #for i in range(len(yf)-chunk_size, 1, -chunk_size):\n", + " # yf2 = np.hstack([yf2[:i], sig.savgol_filter(yf2[i:], 23, 3)])\n", + " #chunk_size = 2000\n", + " #for i in range(len(yf2)-chunk_size, 1, -chunk_size):\n", + " # yf2 = np.hstack([yf2[:i], sig.savgol_filter(yf2[i:], 511, 3)])\n", + " #ax.plot(xf, yf2)\n", + " spline_first = 4\n", + " foo = np.log(yf[spline_first:])\n", + " foo_w = np.tile(1, len(foo))\n", + " foo_w[np.isnan(foo)] = 0\n", + " foo[np.isnan(foo)] = 0\n", + " spl = scipy.interpolate.splrep(x=xf[spline_first:], y=foo, w=foo_w, t=np.logspace(-4.5, 0, 100) * (0.45 * stft_output_sampling_rate), task=-1)\n", + " ax.plot(xf[spline_first:], np.exp(scipy.interpolate.splev(xf[spline_first:], spl)), color='red', label='log-log spline\\ninterpolation', lw=1)\n", + " \n", + " ax.text(0.5, 0.9, f'Run {run_id}', transform=ax.transAxes, ha='center', bbox=dict(fc='white', alpha=0.8, ec='none'))\n", + "\n", + " ax.legend(loc='upper right')\n", + " fig.tight_layout()\n", + " fig.savefig('fig_out/freq_meas_spectrum.pdf')\n", + " \n", + " return (xf[spline_first], xf[-1], len(xf[spline_first:])), spl\n", + "psd_spl_x, psd_spl = plot_fmeas_spectrum(f_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Export measurement data for modulation simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Invalid samples: 24 / 1946198 (12.3 ppm)\n" + ] + } + ], + "source": [ + "print(f'Invalid samples: {np.sum(np.isnan(f_mean))} / {len(f_mean)} ({np.sum(np.isnan(f_mean))/len(f_mean)*1e6:.1f} ppm)')\n", + "\n", + "with open(f'data/fmeas_export_ocxo_2day.bin', 'wb') as f:\n", + " for sample in f_mean:\n", + " if not np.isnan(sample):\n", + " f.write(struct.pack('" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "with open(f'grid_freq_psd_spl_{len(psd_spl[1])}pt.json', 'w') as f:\n", + " json.dump({'x_spec': psd_spl_x, 't': psd_spl[0].tolist(), 'c': psd_spl[1].tolist(), 'k': psd_spl[2] }, f)\n", + "\n", + "def generate_synthetic_noise(specfile='grid_freq_psd_spl_108pt.json'):\n", + " with open(specfile) as f:\n", + " d = json.load(f)\n", + " x = np.linspace(*d['x_spec'])\n", + " N = len(x)\n", + " psd_spl = d['t'], d['c'], d['k']\n", + " \n", + " noise = np.random.normal(size=N) * 2\n", + " spec = scipy.fftpack.fft(noise) **2\n", + "\n", + " spec *= np.exp(scipy.interpolate.splev(x, psd_spl))\n", + "\n", + " spec **= 1/2\n", + " \n", + " renoise = scipy.fftpack.ifft(spec)\n", + " return x, renoise\n", + "\n", + "def noise_sim(specfile='grid_freq_psd_spl_108pt.json'):\n", + " x, renoise = generate_synthetic_noise(specfile)\n", + " N = len(x)\n", + " respec = 2.0/N * np.absolute(scipy.fftpack.fft(renoise * np.blackman(N))) ** 2\n", + " \n", + " #xf = np.linspace(0, 10/2, N//2)\n", + " fig, (ax1, ax2, ax3, ax4, ax5) = plt.subplots(5, figsize=(12, 15), gridspec_kw={'hspace': 0.5})\n", + " \n", + " ax1.loglog(x, respec, lw=1)\n", + " ax1.plot(x, np.exp(scipy.interpolate.splev(x, psd_spl)), color='red', label='log-log spline interpolation')\n", + " ax1.grid()\n", + " ax1.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", + " ax1.set_xlabel('Period T [s]')\n", + " ax1.set_ylabel('Power Spectral Density\\n[$Hz^2/Hz$]')\n", + " ax1.set_title('Simulated Noise Spectrum')\n", + " def plot_sigs(ax, lims, tick_ivl, legend_loc=None, title=None):\n", + " ax.plot(renoise[slice(*lims)], label='Synthetic signal')\n", + " ax.plot(f_mean[slice(*lims)] - np.mean(f_mean[~np.isnan(f_mean)]), label='Reference signal')\n", + " ax.grid()\n", + " if legend_loc is not None:\n", + " ax.legend(loc=legend_loc)\n", + " ax.set_ylabel('Frequency deviation\\nΔf [Hz]')\n", + " ax.set_xlabel('Sampling time [s]')\n", + " ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{x/10:.0f}'))\n", + " ax.xaxis.set_major_locator(plt.MultipleLocator(tick_ivl * 10.0))\n", + " ax.set_xlim([0, lims[1]-lims[0]])\n", + " if title:\n", + " ax.set_title(title)\n", + " plot_sigs(ax2, [10000, 210000], 3600, title='Simulated Noise Waveform [5 hour]')\n", + " plot_sigs(ax3, [10000, 20000], 60, title='Simulated Noise Waveform [20 min]')\n", + " plot_sigs(ax4, [10000, 11000], 10, title='Simulated Noise Waveform [2 min]')\n", + " plot_sigs(ax5, [10000, 10100], 1, legend_loc='lower center', title='Simulated Noise Waveform [10 sec]')\n", + " \n", + " return fig\n", + " \n", + "noise_sim().savefig('fig_out/simulated_noise_spectrum.pdf')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Window length: 256 sp, zero-padded to 256 sp\n", + "STFT sampling rate: 7.91015625\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "455b4242e2eb4b4cb7f2a7fb06aa5985", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/28476 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def do_artificial_noise_simulation(duration:'seconds' = 3600.0, sampling_rate=sampling_rate):\n", + " t_pad = 1000.0\n", + " offx = int(t_pad*stft_output_sampling_rate)\n", + " \n", + " _x, noise_freqs = generate_synthetic_noise()\n", + " noise_freqs = np.absolute(noise_freqs)[offx:][:int(duration * stft_output_sampling_rate) + 1]\n", + " x = np.linspace(0, duration, int(duration*sampling_rate))\n", + " noise_resampled = np.interp(x, np.linspace(0, len(noise_freqs)/stft_output_sampling_rate, len(noise_freqs)), noise_freqs)\n", + " \n", + " phase_acc = 0.0\n", + " out = np.zeros(len(noise_resampled))\n", + " for i, f in enumerate(noise_resampled):\n", + " phase_acc += 2*np.pi*(50.0 + f) / sampling_rate\n", + " out[i] = np.sin(phase_acc)\n", + " if phase_acc > 2*np.pi:\n", + " phase_acc -= 2*np.pi\n", + " \n", + " return out, noise_freqs\n", + "\n", + "def recalc_f(duration=3600.0):\n", + " new_data, orig_noise = do_artificial_noise_simulation(duration, sampling_rate)\n", + " f, t, Zxx, stft_output_sampling_rate = calc_stft(new_data, sampling_rate)\n", + " #plt.matshow(np.absolute(Zxx), aspect='auto')\n", + " f_mean, t = gasior_gonzalez_fmeas(f, t, Zxx)\n", + " return t, f_mean, orig_noise\n", + "\n", + "def feedback_plot(duration=3600):\n", + " fig, axs = plt.subplots(5, 1, figsize=(12, 15))\n", + " new_t, new_mean, orig_noise = recalc_f()\n", + " for ax, time_range in zip(axs.flatten(), (duration, 300, 30, 5)):\n", + " ax.plot(new_t, orig_noise[1:-1], label='original')\n", + " ax.plot(new_t, new_mean - 50, label='re-calculated')\n", + " ax.grid()\n", + " ax.set_xlim((duration/2-time_range/2, duration/2+time_range/2))\n", + " ax.set_ylabel('Frequency deviation\\nΔf [Hz]')\n", + " axs[-2].legend()\n", + " delta = orig_noise[1:-1] - (new_mean - 50)\n", + " print(np.sqrt(np.mean(np.square(delta))))\n", + " axs[-1].plot(new_t, delta)\n", + " axs[-1].set_xlabel('Sampling time [s]')\n", + " axs[-1].set_xlim((0, duration))\n", + " axs[-1].grid()\n", + " axs[-1].set_title('Difference')\n", + " axs[-1].set_ylabel('Frequency deviation\\nΔf [Hz]')\n", + " axs[0].set_title('Original and re-calculated signals')\n", + " fig.tight_layout()\n", + " return fig\n", + "\n", + "feedback_plot().savefig('fig_out/freq_meas_feedback.pdf')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# References\n", + "\n", + "1. **Gasior, M. & Gonzalez, J.** Improving FFT frequency measurement resolution by parabolic and gaussian interpolation *CERN-AB-Note-2004-021, CERN-AB-Note-2004-021, 2004*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "jupytersucks-dsss", + "language": "python", + "name": "jupytersucks-dsss" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/grid_frequency_spectra.ipynb b/notebooks/grid_frequency_spectra.ipynb new file mode 100644 index 0000000..003c907 --- /dev/null +++ b/notebooks/grid_frequency_spectra.ipynb @@ -0,0 +1,426 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import csv\n", + "\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "import scipy.fftpack" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib widget" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "data/Netzfrequenz_Sekundenwerte_2012_KW37.csv not found.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [3]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenfromtxt\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdata/Netzfrequenz_Sekundenwerte_2012_KW37.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m,\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m[\u001b[38;5;241m1\u001b[39m:,\u001b[38;5;241m1\u001b[39m:]\n", + "File \u001b[0;32m/usr/lib/python3.10/site-packages/numpy/lib/npyio.py:1813\u001b[0m, in \u001b[0;36mgenfromtxt\u001b[0;34m(fname, dtype, comments, delimiter, skip_header, skip_footer, converters, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise, max_rows, encoding, like)\u001b[0m\n\u001b[1;32m 1811\u001b[0m fname \u001b[38;5;241m=\u001b[39m os_fspath(fname)\n\u001b[1;32m 1812\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(fname, \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m-> 1813\u001b[0m fid \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_datasource\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1814\u001b[0m fid_ctx \u001b[38;5;241m=\u001b[39m contextlib\u001b[38;5;241m.\u001b[39mclosing(fid)\n\u001b[1;32m 1815\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[0;32m/usr/lib/python3.10/site-packages/numpy/lib/_datasource.py:193\u001b[0m, in \u001b[0;36mopen\u001b[0;34m(path, mode, destpath, encoding, newline)\u001b[0m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 157\u001b[0m \u001b[38;5;124;03mOpen `path` with `mode` and return the file object.\u001b[39;00m\n\u001b[1;32m 158\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 189\u001b[0m \n\u001b[1;32m 190\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 192\u001b[0m ds \u001b[38;5;241m=\u001b[39m DataSource(destpath)\n\u001b[0;32m--> 193\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnewline\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/usr/lib/python3.10/site-packages/numpy/lib/_datasource.py:532\u001b[0m, in \u001b[0;36mDataSource.open\u001b[0;34m(self, path, mode, encoding, newline)\u001b[0m\n\u001b[1;32m 529\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _file_openers[ext](found, mode\u001b[38;5;241m=\u001b[39mmode,\n\u001b[1;32m 530\u001b[0m encoding\u001b[38;5;241m=\u001b[39mencoding, newline\u001b[38;5;241m=\u001b[39mnewline)\n\u001b[1;32m 531\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 532\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: data/Netzfrequenz_Sekundenwerte_2012_KW37.csv not found." + ] + } + ], + "source": [ + "data = np.genfromtxt('data/Netzfrequenz_Sekundenwerte_2012_KW37.csv', delimiter=',')[1:,1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'data' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [4]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots()\n\u001b[0;32m----> 2\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(\u001b[43mdata\u001b[49m[:\u001b[38;5;241m3600\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m24\u001b[39m, \u001b[38;5;241m0\u001b[39m])\n", + "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bbdb71a2ba2947919ddca69963f54445", + "version_major": 2, + "version_minor": 0 + }, + "image/png": 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\n", + " " + ], + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(data[:3600*24, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.02051102806199375" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.std(data[:,0])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2b835c8fb082428cabc1ad9112286728", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "(1e-06, 0.5)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Number of samplepoints\n", + "N = len(data[:,0])\n", + "# sample spacing\n", + "T = 1.0\n", + "x = np.linspace(0.0, N*T, N)\n", + "yf = scipy.fftpack.fft(data[:,0])\n", + "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n", + "\n", + "yf = 2.0/N * np.abs(yf[:N//2])\n", + "\n", + "#yf = sum(yf[s::10] for s in range(10)) / 10\n", + "#xf = sum(xf[s::10] for s in range(10)) / 10\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.loglog(xf, yf)\n", + "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", + "ax.set_xlabel('T in s')\n", + "ax.set_ylabel('Amplitude Δf')\n", + "ax.grid()\n", + "ax.set_xlim([1/1000000, 0.5])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "94ca3cb49e7d452dab8f7e2e8d632b84", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "(5e-07, 0.02)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Number of samplepoints\n", + "N = len(data[:,0])\n", + "# sample spacing\n", + "T = 1.0\n", + "x = np.linspace(0.0, N*T, N)\n", + "yf = scipy.fftpack.fft(data[:,0])\n", + "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n", + "\n", + "yf = 2.0/N * np.abs(yf[:N//2])\n", + "\n", + "average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n", + "\n", + "average_width = 20\n", + "average_start = 100\n", + "yf = average_from(yf, average_start, average_width)\n", + "xf = average_from(xf, average_start, average_width)\n", + "yf = average_from(yf, 300, average_width)\n", + "xf = average_from(xf, 300, average_width)\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.loglog(xf, yf)\n", + "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n", + "ax.set_xlabel('T in s')\n", + "ax.set_ylabel('Amplitude Δf')\n", + "\n", + "for i, t in enumerate([45, 60, 600, 1200, 1800, 3600]):\n", + " ax.axvline(1/t, color='red', alpha=0.5)\n", + " ax.annotate(f'{t} s', xy=(1/t, 3e-3), xytext=(-15, 0), xycoords='data', textcoords='offset pixels', rotation=90)\n", + "#ax.text(1/60, 10,'60 s', ha='left')\n", + "ax.grid()\n", + "ax.set_xlim([1/60000, 0.5])\n", + "ax.set_ylim([5e-7, 2e-2])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "91a04300b9164bd7a9915d0028f3e563", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ys = scipy.fftpack.fft(data[:,0])\n", + "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", + "s = 60\n", + "\n", + "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", + "\n", + "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", + "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.loglog(xs[s//2:-s//2+1], ys)\n", + "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2811a79d4ad8487f822750e4419ccfdb", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ys = scipy.fftpack.fft(data[:,0])\n", + "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", + "s = 1\n", + "\n", + "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", + "\n", + "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", + "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.loglog(xs[s//2:-s//2+1 if s > 1 else None], ys)\n", + "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c678197e011e4ab4982d3e1d2a2cee9a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ys = scipy.fftpack.fft(data[:,0])\n", + "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", + "s = 1\n", + "\n", + "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", + "\n", + "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", + "\n", + "ys *= 2*np.pi*xs\n", + "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.loglog(xs[s//2:-s//2+1 if s > 1 else None], ys)\n", + "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "52bcd29a41a54ed1bf9dc63e0c9e83d8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ys = scipy.fftpack.fft(data[:,0])\n", + "ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n", + "s = 30\n", + "\n", + "ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n", + "\n", + "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n", + "\n", + "ys *= 2*np.pi*xs[s//2:-s//2+1]\n", + "\n", + "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n", + "\n", + "fig, ax = plt.subplots(figsize=(9,5))\n", + "ax.loglog(xs[s//2:-s//2+1], ys)\n", + "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: 1/x))\n", + "ax.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15.923566878980893" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "1/0.0628" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "jupytersucks-dsss", + "language": "python", + "name": "jupytersucks-dsss" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/lab-windows/grid_scope.ipynb b/notebooks/grid_scope.ipynb similarity index 100% rename from lab-windows/grid_scope.ipynb rename to notebooks/grid_scope.ipynb diff --git a/lab-windows/impl_test_out.json b/notebooks/impl_test_out.json similarity index 100% rename from lab-windows/impl_test_out.json rename to notebooks/impl_test_out.json diff --git a/lab-windows/rocof_test_data.py b/notebooks/rocof_test_data.py similarity index 100% rename from lab-windows/rocof_test_data.py rename to notebooks/rocof_test_data.py diff --git 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%F827FF27FD04F827FFFFA8F8F8587D7D7D837D52F8F8F852FFFF522752FF %FF7DF8F827FFFF7DFD43F827FF52F8F852FFFD057D27F8F8FFFFFFA85227 %527DFFFFFF5227277DFFFFFF7DF8F852FD047D8327F8F8F852FD07FFF8F8 %F827FFFF52FD44F8FF52F8F852FF7D837D837D7DF8F852FD11FFF8F827A8 %7D837DA87D27F8F8F827FD067DFD05F87D7D52FD43F827FF52F8F852FFFD %067D27F8F87DFD0FFF27F8F858FD057D52FD57F8FF52F8F852FF7D7D7D83 %7D8358F8F827A8FD0DFF52F8F8527D7D7D837D7DFD57F827FF52F8F852FF %FD077D52F8F8F87DFD0AFFA827F8F827FD057D8327FD58F8FF27F8F852FF %7D837DA87D837DA85227F8F852A8FD07FF7DF8F8F8277DA87D837DA85827 %F827F827F827F827F827F827F827F827F827F827F827F827F827F827F827 %F827F827F827F827F827F827F827F827F827F827F827F827F827F827F827 %F827F827F827F827F827F827F827F827F827F827F827F827F827F827FF52 %F8F852FD0CFFA8FFA8FD07FFA8FFA8FD63FF52F8F827FD7C5227FD80F8F8 %%EndData %%EndComments %%BeginProlog %%BeginResource: procset Adobe_level2_AI5 1.2 0 +%%Title: (Adobe Illustrator (R) Version 5.0 Level 2 Emulation) +%%Version: 1.2 0 +%%CreationDate: (04/10/93) () +%%Copyright: ((C) 1987-1996 Adobe Systems Incorporated All Rights Reserved) +userdict /Adobe_level2_AI5 26 dict dup begin + put + /packedarray where not + { + userdict begin + /packedarray + { + array astore readonly + } bind def + /setpacking /pop load def + /currentpacking false def + end + 0 + } if + pop + userdict /defaultpacking currentpacking put true setpacking + /initialize + { + Adobe_level2_AI5 begin + } bind def + /terminate + { + currentdict Adobe_level2_AI5 eq + { + end + } if + } bind def + mark + /setcustomcolor where not + { + /findcmykcustomcolor + { + (AI8_CMYK_CustomColor) + 6 packedarray + } bind def + /findrgbcustomcolor + { + (AI8_RGB_CustomColor) + 5 packedarray + } bind def + /setcustomcolor + { + exch + aload pop dup + (AI8_CMYK_CustomColor) eq + { + pop pop + 4 + { + 4 index mul + 4 1 roll + } repeat + 5 -1 roll pop + setcmykcolor + } + { + dup (AI8_RGB_CustomColor) eq + { + pop pop + 3 + { + 1 exch sub + 3 index mul + 1 exch sub + 3 1 roll + } repeat + 4 -1 roll pop + setrgbcolor + } + { + pop + 4 + { + 4 index mul 4 1 roll + } repeat + 5 -1 roll pop + setcmykcolor + } ifelse + } ifelse + } + def + } if + /setAIseparationgray + { + false setoverprint + 0 setgray + /setseparationgray where{ + pop setseparationgray + }{ + /setcolorspace where{ + pop + [/Separation (All) /DeviceCMYK {dup dup dup}] setcolorspace + 1 exch sub setcolor + }{ + setgray + }ifelse + }ifelse + } def + + /gt38? mark {version cvr cvx exec} stopped {cleartomark true} {38 gt exch pop} ifelse def + userdict /deviceDPI 72 0 matrix defaultmatrix dtransform dup mul exch dup mul add sqrt put + userdict /level2? + systemdict /languagelevel known dup + { + pop systemdict /languagelevel get 2 ge + } if + put +/level2ScreenFreq +{ + begin + 60 + HalftoneType 1 eq + { + pop Frequency + } if + HalftoneType 2 eq + { + pop GrayFrequency + } if + HalftoneType 5 eq + { + pop Default level2ScreenFreq + } if + end +} bind def +userdict /currentScreenFreq + level2? {currenthalftone level2ScreenFreq} {currentscreen pop pop} ifelse put +level2? not + { + /setcmykcolor where not + { + /setcmykcolor + { + exch .11 mul add exch .59 mul add exch .3 mul add + 1 exch sub setgray + } def + } if + /currentcmykcolor where not + { + /currentcmykcolor + { + 0 0 0 1 currentgray sub + } def + } if + /setoverprint where not + { + /setoverprint /pop load def + } if + /selectfont where not + { + /selectfont + { + exch findfont exch + dup type /arraytype eq + { + makefont + } + { + scalefont + } ifelse + setfont + } bind def + } if + /cshow where not + { + /cshow + { + [ + 0 0 5 -1 roll aload pop + ] cvx bind forall + } bind def + } if + } if + cleartomark + /anyColor? + { + add add add 0 ne + } bind def + /testColor + { + gsave + setcmykcolor currentcmykcolor + grestore + } bind def + /testCMYKColorThrough + { + testColor anyColor? + } bind def + userdict /composite? + 1 0 0 0 testCMYKColorThrough + 0 1 0 0 testCMYKColorThrough + 0 0 1 0 testCMYKColorThrough + 0 0 0 1 testCMYKColorThrough + and and and + put + composite? not + { + userdict begin + gsave + /cyan? 1 0 0 0 testCMYKColorThrough def + /magenta? 0 1 0 0 testCMYKColorThrough def + /yellow? 0 0 1 0 testCMYKColorThrough def + /black? 0 0 0 1 testCMYKColorThrough def + grestore + /isCMYKSep? cyan? magenta? yellow? black? or or or def + /customColor? isCMYKSep? not def + end + } if + end defaultpacking setpacking +%%EndResource +%%BeginProcSet: Adobe_ColorImage_AI6 1.3 0 +userdict /Adobe_ColorImage_AI6 known not +{ + userdict /Adobe_ColorImage_AI6 53 dict put +} if +userdict /Adobe_ColorImage_AI6 get begin +/initialize { + Adobe_ColorImage_AI6 begin + Adobe_ColorImage_AI6 { + dup type /arraytype eq { + dup xcheck { + bind + } if + } if + pop pop + } forall +} def +/terminate { end } def +currentdict /Adobe_ColorImage_AI6_Vars known not { + /Adobe_ColorImage_AI6_Vars 41 dict def +} if +Adobe_ColorImage_AI6_Vars begin + /plateindex -1 def + /_newproc null def + /_proc1 null def + /_proc2 null def + /sourcearray 4 array def + /_ptispace null def + /_ptiname null def + /_pti0 0 def + /_pti1 0 def + /_ptiproc null def + /_ptiscale 0 def + /_pticomps 0 def + /_ptibuf 0 string def + /_gtigray 0 def + /_cticmyk null def + /_rtirgb null def + /XIEnable true def + /XIType 0 def + /XIEncoding 0 def + /XICompression 0 def + /XIChannelCount 0 def + /XIBitsPerPixel 0 def + /XIImageHeight 0 def + /XIImageWidth 0 def + /XIImageMatrix null def + /XIRowBytes 0 def + /XIFile null def + /XIBuffer1 null def + /XIBuffer2 null def + /XIBuffer3 null def + /XIDataProc null def + /XIColorSpace /DeviceGray def + /XIColorValues 0 def + /XIPlateList false def +end +/ci6colorimage /colorimage where {/colorimage get}{null} ifelse def +/ci6image systemdict /image get def +/ci6curtransfer systemdict /currenttransfer get def +/ci6curoverprint /currentoverprint where {/currentoverprint get}{{_of}} ifelse def +/ci6foureq { + 4 index ne { + pop pop pop false + }{ + 4 index ne { + pop pop false + }{ + 4 index ne { + pop false + }{ + 4 index eq + } ifelse + } ifelse + } ifelse +} def +/ci6testplate { + Adobe_ColorImage_AI6_Vars begin + /plateindex -1 def + /setcmykcolor where { + pop + gsave + 1 0 0 0 setcmykcolor systemdict /currentgray get exec 1 exch sub + 0 1 0 0 setcmykcolor systemdict /currentgray get exec 1 exch sub + 0 0 1 0 setcmykcolor systemdict /currentgray get exec 1 exch sub + 0 0 0 1 setcmykcolor systemdict /currentgray get exec 1 exch sub + grestore + 1 0 0 0 ci6foureq { + /plateindex 0 def + }{ + 0 1 0 0 ci6foureq { + /plateindex 1 def + }{ + 0 0 1 0 ci6foureq { + /plateindex 2 def + }{ + 0 0 0 1 ci6foureq { + /plateindex 3 def + }{ + 0 0 0 0 ci6foureq { + /plateindex 5 def + } if + } ifelse + } ifelse + } ifelse + } ifelse + pop pop pop pop + } if + plateindex + end +} def +/ci6concatprocs { + /packedarray where { + pop dup type /packedarraytype eq 2 index type + /packedarraytype eq or + }{ + false + } ifelse + { + /_proc2 exch cvlit def + /_proc1 exch cvlit def + _proc1 aload pop + _proc2 aload pop + _proc1 length + _proc2 length add + packedarray cvx + }{ + /_proc2 exch cvlit def + /_proc1 exch cvlit def + /_newproc _proc1 length _proc2 length add array def + _newproc 0 _proc1 putinterval + _newproc _proc1 length _proc2 putinterval + _newproc cvx + } ifelse +} def +/ci6istint { + type /arraytype eq +} def +/ci6isspot { + dup type /arraytype eq { + dup length 1 sub get /Separation eq + }{ + pop false + } ifelse +} def +/ci6spotname { + dup ci6isspot {dup length 2 sub get}{pop ()} ifelse +} def +/ci6altspace { + aload pop pop pop ci6colormake +} def +/ci6numcomps { + dup /DeviceGray eq { + pop 1 + }{ + dup /DeviceRGB eq { + pop 3 + }{ + /DeviceCMYK eq { + 4 + }{ + 1 + } ifelse + } ifelse + } ifelse +} def +/ci6marksplate { + dup /DeviceGray eq { + pop plateindex 3 eq + }{ + dup /DeviceRGB eq { + pop plateindex 5 ne + }{ + dup /DeviceCMYK eq { + pop plateindex 5 ne + }{ + dup ci6isspot { + /findcmykcustomcolor where { + pop + dup length 2 sub get + 0.1 0.1 0.1 0.1 5 -1 roll + findcmykcustomcolor 1 setcustomcolor + systemdict /currentgray get exec + 1 ne + }{ + pop plateindex 5 ne + } ifelse + }{ + pop plateindex 5 ne + } ifelse + } ifelse + } ifelse + } ifelse +} def +/ci6colormake { + dup ci6numcomps + exch 1 index 2 add 1 roll + dup 1 eq {pop}{array astore} ifelse + exch +} def +/ci6colorexpand { + dup ci6spotname exch + dup ci6istint { + ci6altspace + exch 4 1 roll + }{ + 1 3 1 roll + } ifelse +} def +/ci6colortint { + dup /DeviceGray eq { + 3 1 roll 1 exch sub mul 1 exch sub exch + }{ + dup /DeviceRGB eq { + 3 1 roll {1 exch sub 1 index mul 1 exch sub exch} forall pop 3 array astore exch + }{ + dup /DeviceCMYK eq { + 3 1 roll {1 index mul exch} forall pop 4 array astore exch + }{ + 3 1 roll mul exch + } ifelse + } ifelse + } ifelse +} def +/ci6colortocmyk { + dup /DeviceGray eq { + pop 1 exch sub 0 0 0 4 -1 roll 4 array astore + }{ + dup /DeviceRGB eq { + pop aload pop _rgbtocmyk 4 array astore + }{ + dup /DeviceCMYK eq { + pop + }{ + ci6altspace ci6colortint ci6colortocmyk + } ifelse + } ifelse + } ifelse +} def +/ci6makeimagedict { + 7 dict begin + /ImageType 1 def + /Decode exch def + /DataSource exch def + /ImageMatrix exch def + /BitsPerComponent exch def + /Height exch def + /Width exch def + currentdict end +} def +/ci6stringinvert { + 0 1 2 index length 1 sub { + dup 2 index exch get 255 exch sub 2 index 3 1 roll put + } for +} def +/ci6stringknockout { + 0 1 2 index length 1 sub { + 255 2 index 3 1 roll put + } for +} def +/ci6stringapply { + 0 1 4 index length 1 sub { + dup + 4 index exch get + 3 index 3 1 roll + 3 index exec + } for + pop exch pop +} def +/ci6walkrgbstring { + 0 3 index + dup length 1 sub 0 3 3 -1 roll { + 3 getinterval {} forall + 5 index exec + 3 index + } for + + 5 {pop} repeat +} def +/ci6walkcmykstring +{ + 0 3 index + dup length 1 sub 0 4 3 -1 roll { + 4 getinterval {} forall + + 6 index exec + + 3 index + + } for + + 5 { pop } repeat + +} def +/ci6putrgbtograystr +{ + .11 mul exch + + .59 mul add exch + + .3 mul add + + cvi 3 copy put + + pop 1 add +} def +/ci6putcmyktograystr +{ + exch .11 mul add + + exch .59 mul add + + exch .3 mul add + + dup 255 gt { pop 255 } if + + 255 exch sub cvi 3 copy put + + pop 1 add +} def +/ci6rgbtograyproc { + Adobe_ColorImage_AI6_Vars begin + sourcearray 0 get exec + XIBuffer3 + dup 3 1 roll + + /ci6putrgbtograystr load exch + ci6walkrgbstring + end +} def +/ci6cmyktograyproc { + Adobe_ColorImage_AI6_Vars begin + sourcearray 0 get exec + XIBuffer3 + dup 3 1 roll + + /ci6putcmyktograystr load exch + ci6walkcmykstring + end +} def +/ci6separatecmykproc { + Adobe_ColorImage_AI6_Vars begin + sourcearray 0 get exec + + XIBuffer3 + + 0 2 index + + plateindex 4 2 index length 1 sub { + get 255 exch sub + + 3 copy put pop 1 add + + 2 index + } for + pop pop exch pop + end +} def + +/ci6compositeimage { + dup 1 eq { + pop pop image + }{ + /ci6colorimage load null ne { + ci6colorimage + }{ + 3 1 roll pop + sourcearray 0 3 -1 roll put + 3 eq {/ci6rgbtograyproc}{/ci6cmyktograyproc} ifelse load + image + } ifelse + } ifelse +} def +/ci6knockoutimage { + gsave + 0 ci6curtransfer exec 1 ci6curtransfer exec + eq { + 0 ci6curtransfer exec 0.5 lt + }{ + 0 ci6curtransfer exec 1 ci6curtransfer exec gt + } ifelse + {{pop 0}}{{pop 1}} ifelse + systemdict /settransfer get exec + ci6compositeimage + grestore +} def +/ci6drawimage { + ci6testplate -1 eq { + pop ci6compositeimage + }{ + dup type /arraytype eq { + dup length plateindex gt {plateindex get}{pop false} ifelse + }{ + { + true + }{ + dup 1 eq {plateindex 3 eq}{plateindex 3 le} ifelse + } ifelse + } ifelse + { + dup 1 eq { + pop pop ci6image + }{ + dup 3 eq { + ci6compositeimage + }{ + pop pop + sourcearray 0 3 -1 roll put + /ci6separatecmykproc load + ci6image + } ifelse + } ifelse + }{ + ci6curoverprint { + 7 {pop} repeat + }{ + ci6knockoutimage + } ifelse + } ifelse + } ifelse +} def +/ci6proctintimage { + /_ptispace exch store /_ptiname exch store /_pti1 exch store /_pti0 exch store /_ptiproc exch store + /_pticomps _ptispace ci6numcomps store + /_ptiscale _pti1 _pti0 sub store + level2? { + _ptiname length 0 gt version cvr 2012 ge and { + [/Separation _ptiname _ptispace {_ptiproc}] setcolorspace + [_pti0 _pti1] ci6makeimagedict ci6image + }{ + [/Indexed _ptispace 255 {255 div _ptiscale mul _pti0 add _ptiproc}] setcolorspace + [0 255] ci6makeimagedict ci6image + } ifelse + }{ + _pticomps 1 eq { + { + dup + { + 255 div _ptiscale mul _pti0 add _ptiproc 255 mul cvi put + } ci6stringapply + } ci6concatprocs ci6image + }{ + { + dup length _pticomps mul dup _ptibuf length ne {/_ptibuf exch string store}{pop} ifelse + _ptibuf { + exch _pticomps mul exch 255 div _ptiscale mul _pti0 add _ptiproc + _pticomps 2 add -2 roll + _pticomps 1 sub -1 0 { + 1 index add 2 index exch + 5 -1 roll + 255 mul cvi put + } for + pop pop + } ci6stringapply + } ci6concatprocs false _pticomps + /ci6colorimage load null eq {7 {pop} repeat}{ci6colorimage} ifelse + } ifelse + } ifelse +} def +/ci6graytintimage { + /_gtigray 5 -1 roll store + {1 _gtigray sub mul 1 exch sub} 4 1 roll + /DeviceGray ci6proctintimage +} def +/ci6cmyktintimage { + /_cticmyk 5 -1 roll store + {_cticmyk {1 index mul exch} forall pop} 4 1 roll + /DeviceCMYK ci6proctintimage +} def +/ci6rgbtintimage { + /_rtirgb 5 -1 roll store + {_rtirgb {1 exch sub 1 index mul 1 exch sub exch} forall pop} 4 1 roll + /DeviceRGB ci6proctintimage +} def +/ci6tintimage { + ci6testplate -1 eq { + ci6colorexpand + 3 -1 roll 5 -1 roll {0}{0 exch} ifelse 4 2 roll + dup /DeviceGray eq { + pop ci6graytintimage + }{ + dup /DeviceRGB eq { + pop ci6rgbtintimage + }{ + pop ci6cmyktintimage + } ifelse + } ifelse + }{ + dup ci6marksplate { + plateindex 5 lt { + ci6colortocmyk plateindex get + dup 0 eq ci6curoverprint and { + 7 {pop} repeat + }{ + 1 exch sub + exch {1 0}{0 1} ifelse () ci6graytintimage + } ifelse + }{ + pop exch {0}{0 exch} ifelse 0 3 1 roll () ci6graytintimage + } ifelse + }{ + ci6curoverprint { + 8 {pop} repeat + }{ + pop pop pop + {pop 1} 0 1 () /DeviceGray ci6proctintimage + } ifelse + } ifelse + } ifelse +} def +/XINullImage { +} def +/XIImageMask { + XIImageWidth XIImageHeight false + [XIImageWidth 0 0 XIImageHeight neg 0 0] + /XIDataProc load + imagemask +} def +/XIImageTint { + XIImageWidth XIImageHeight XIBitsPerPixel + [XIImageWidth 0 0 XIImageHeight neg 0 0] + /XIDataProc load + XIType 3 eq XIColorValues XIColorSpace ci6tintimage +} def +/XIImage { + XIImageWidth XIImageHeight XIBitsPerPixel + [XIImageWidth 0 0 XIImageHeight neg 0 0] + /XIDataProc load + false XIChannelCount XIPlateList ci6drawimage +} def +/XG { + pop pop +} def +/XF { + 13 {pop} repeat +} def +/Xh { + Adobe_ColorImage_AI6_Vars begin + gsave + /XIType exch def + /XIImageHeight exch def + /XIImageWidth exch def + /XIImageMatrix exch def + 0 0 moveto + XIImageMatrix concat + XIImageWidth XIImageHeight scale + + /_lp /null ddef + _fc + /_lp /imagemask ddef + end +} def +/XH { + Adobe_ColorImage_AI6_Vars begin + grestore + end +} def +/XIEnable { + Adobe_ColorImage_AI6_Vars /XIEnable 3 -1 roll put +} def +/XC { + Adobe_ColorImage_AI6_Vars begin + ci6colormake + /XIColorSpace exch def + /XIColorValues exch def + end +} def +/XIPlates { + Adobe_ColorImage_AI6_Vars begin + /XIPlateList exch def + end +} def +/XI +{ + Adobe_ColorImage_AI6_Vars begin + gsave + /XIType exch def + cvi dup + 256 idiv /XICompression exch store + 256 mod /XIEncoding exch store + pop pop + /XIChannelCount exch def + /XIBitsPerPixel exch def + /XIImageHeight exch def + /XIImageWidth exch def + pop pop pop pop + /XIImageMatrix exch def + XIBitsPerPixel 1 eq { + XIImageWidth 8 div ceiling cvi + }{ + XIImageWidth XIChannelCount mul + } ifelse + /XIRowBytes exch def + XIEnable { + /XIBuffer3 XIImageWidth string def + XICompression 0 eq { + /XIBuffer1 XIRowBytes string def + XIEncoding 0 eq { + {currentfile XIBuffer1 readhexstring pop} + }{ + {currentfile XIBuffer1 readstring pop} + } ifelse + }{ + /XIBuffer1 256 string def + /XIBuffer2 XIRowBytes string def + {currentfile XIBuffer1 readline pop (%) anchorsearch {pop} if} + /ASCII85Decode filter /DCTDecode filter + /XIFile exch def + {XIFile XIBuffer2 readstring pop} + } ifelse + /XIDataProc exch def + + XIType 1 ne { + 0 setgray + } if + XIType 1 eq { + XIImageMask + }{ + XIType 2 eq XIType 3 eq or { + XIImageTint + }{ + XIImage + } ifelse + } ifelse + }{ + XINullImage + } ifelse + /XIPlateList false def + grestore + end +} def +end +%%EndProcSet +%%BeginResource: procset Adobe_Illustrator_AI5 1.3 0 +%%Title: (Adobe Illustrator (R) Version 8.0 Full Prolog) +%%Version: 1.3 0 +%%CreationDate: (3/7/1994) () +%%Copyright: ((C) 1987-1998 Adobe Systems Incorporated All Rights Reserved) +currentpacking true setpacking +userdict /Adobe_Illustrator_AI5_vars 112 dict dup begin +put +/_?cmyk false def +/_eo false def +/_lp /none def +/_pf +{ +} def +/_ps +{ +} def +/_psf +{ +} def +/_pss +{ +} def +/_pjsf +{ +} def +/_pjss +{ +} def +/_pola 0 def +/_doClip 0 def +/cf currentflat def +/_lineorientation 0 def +/_charorientation 0 def +/_yokoorientation 0 def +/_tm matrix def +/_renderStart +[ +/e0 /r0 /a0 /o0 /e1 /r1 /a1 /i0 +] def +/_renderEnd +[ +null null null null /i1 /i1 /i1 /i1 +] def +/_render -1 def +/_shift [0 0] def +/_ax 0 def +/_ay 0 def +/_cx 0 def +/_cy 0 def +/_leading +[ +0 0 +] def +/_ctm matrix def +/_mtx matrix def +/_sp 16#020 def +/_hyphen (-) def +/_fontSize 0 def +/_fontAscent 0 def +/_fontDescent 0 def +/_fontHeight 0 def +/_fontRotateAdjust 0 def +/Ss 256 string def +Ss 0 (fonts/) putinterval +/_cnt 0 def +/_scale [1 1] def +/_nativeEncoding 0 def +/_useNativeEncoding 0 def +/_tempEncode 0 def +/_pntr 0 def +/_tDict 2 dict def +/_hfname 100 string def +/_hffound false def +/Tx +{ +} def +/Tj +{ +} def +/CRender +{ +} def +/_AI3_savepage +{ +} def +/_gf null def +/_cf 4 array def +/_rgbf 3 array def +/_if null def +/_of false def +/_fc +{ +} def +/_gs null def +/_cs 4 array def +/_rgbs 3 array def +/_is null def +/_os false def +/_sc +{ +} def +/_pd 1 dict def +/_ed 15 dict def +/_pm matrix def +/_fm null def +/_fd null def +/_fdd null def +/_sm null def +/_sd null def +/_sdd null def +/_i null def +/_lobyte 0 def +/_hibyte 0 def +/_cproc null def +/_cscript 0 def +/_hvax 0 def +/_hvay 0 def +/_hvwb 0 def +/_hvcx 0 def +/_hvcy 0 def +/_bitfont null def +/_bitlobyte 0 def +/_bithibyte 0 def +/_bitkey null def +/_bitdata null def +/_bitindex 0 def +/discardSave null def +/buffer 256 string def +/beginString null def +/endString null def +/endStringLength null def +/layerCnt 1 def +/layerCount 1 def +/perCent (%) 0 get def +/perCentSeen? false def +/newBuff null def +/newBuffButFirst null def +/newBuffLast null def +/clipForward? false def +end +userdict /Adobe_Illustrator_AI5 known not { + userdict /Adobe_Illustrator_AI5 100 dict put +} if +userdict /Adobe_Illustrator_AI5 get begin +/initialize +{ + Adobe_Illustrator_AI5 dup begin + Adobe_Illustrator_AI5_vars begin + /_aicmykps where {pop /_?cmyk _aicmykps def}if + discardDict + { + bind pop pop + } forall + dup /nc get begin + { + dup xcheck 1 index type /operatortype ne and + { + bind + } if + pop pop + } forall + end + newpath +} def +/terminate +{ + end + end +} def +/_ +null def +/ddef +{ + Adobe_Illustrator_AI5_vars 3 1 roll put +} def +/xput +{ + dup load dup length exch maxlength eq + { + dup dup load dup + length 2 mul dict copy def + } if + load begin + def + end +} def +/npop +{ + { + pop + } repeat +} def +/hswj +{ + dup stringwidth 3 2 roll + { + _hvwb eq { exch _hvcx add exch _hvcy add } if + exch _hvax add exch _hvay add + } cforall +} def +/vswj +{ + 0 0 3 -1 roll + { + dup 255 le + _charorientation 1 eq + and + { + dup cstring stringwidth 5 2 roll + _hvwb eq { exch _hvcy sub exch _hvcx sub } if + exch _hvay sub exch _hvax sub + 4 -1 roll sub exch + 3 -1 roll sub exch + } + { + _hvwb eq { exch _hvcy sub exch _hvcx sub } if + exch _hvay sub exch _hvax sub + _fontHeight sub + } ifelse + } cforall +} def +/swj +{ + 6 1 roll + /_hvay exch ddef + /_hvax exch ddef + /_hvwb exch ddef + /_hvcy exch ddef + /_hvcx exch ddef + _lineorientation 0 eq { hswj } { vswj } ifelse +} def +/sw +{ + 0 0 0 6 3 roll swj +} def +/vjss +{ + 4 1 roll + { + dup cstring + dup length 1 eq + _charorientation 1 eq + and + { + -90 rotate + currentpoint + _fontRotateAdjust add + moveto + gsave + false charpath currentpoint + 5 index setmatrix stroke + grestore + _fontRotateAdjust sub + moveto + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + 90 rotate + } + { + currentpoint + _fontHeight sub + 5 index sub + 3 index _sp eq + { + 9 index sub + } if + + currentpoint + exch 4 index stringwidth pop 2 div sub + exch _fontAscent sub + moveto + + gsave + 2 index false charpath + 6 index setmatrix stroke + grestore + + moveto pop pop + } ifelse + } cforall + 6 npop +} def +/hjss +{ + 4 1 roll + { + dup cstring + gsave + false charpath currentpoint + 5 index setmatrix stroke + grestore + moveto + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + } cforall + 6 npop +} def +/jss +{ + _lineorientation 0 eq { hjss } { vjss } ifelse +} def +/ss +{ + 0 0 0 7 3 roll jss +} def +/vjsp +{ + 4 1 roll + { + dup cstring + dup length 1 eq + _charorientation 1 eq + and + { + -90 rotate + currentpoint + _fontRotateAdjust add + moveto + false charpath + currentpoint + _fontRotateAdjust sub + moveto + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + 90 rotate + } + { + currentpoint + _fontHeight sub + 5 index sub + 3 index _sp eq + { + 9 index sub + } if + + currentpoint + exch 4 index stringwidth pop 2 div sub + exch _fontAscent sub + moveto + + 2 index false charpath + + moveto pop pop + } ifelse + } cforall + 6 npop +} def +/hjsp +{ + 4 1 roll + { + dup cstring + false charpath + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + } cforall + 6 npop +} def +/jsp +{ + matrix currentmatrix + _lineorientation 0 eq {hjsp} {vjsp} ifelse +} def +/sp +{ + matrix currentmatrix + 0 0 0 7 3 roll + _lineorientation 0 eq {hjsp} {vjsp} ifelse +} def +/pl +{ + transform + 0.25 sub round 0.25 add exch + 0.25 sub round 0.25 add exch + itransform +} def +/setstrokeadjust where +{ + pop true setstrokeadjust + /c + { + curveto + } def + /C + /c load def + /v + { + currentpoint 6 2 roll curveto + } def + /V + /v load def + /y + { + 2 copy curveto + } def + /Y + /y load def + /l + { + lineto + } def + /L + /l load def + /m + { + moveto + } def +} +{ + /c + { + pl curveto + } def + /C + /c load def + /v + { + currentpoint 6 2 roll pl curveto + } def + /V + /v load def + /y + { + pl 2 copy curveto + } def + /Y + /y load def + /l + { + pl lineto + } def + /L + /l load def + /m + { + pl moveto + } def +} ifelse +/d +{ + setdash +} def +/cf +{ +} def +/i +{ + dup 0 eq + { + pop cf + } if + setflat +} def +/j +{ + setlinejoin +} def +/J +{ + setlinecap +} def +/M +{ + setmiterlimit +} def +/w +{ + setlinewidth +} def +/XR +{ + 0 ne + /_eo exch ddef +} def +/H +{ +} def +/h +{ + closepath +} def +/N +{ + _pola 0 eq + { + _doClip 1 eq + { + _eo {eoclip} {clip} ifelse /_doClip 0 ddef + } if + newpath + } + { + /CRender + { + N + } ddef + } ifelse +} def +/n +{ + N +} def +/F +{ + _pola 0 eq + { + _doClip 1 eq + { + gsave _pf grestore _eo {eoclip} {clip} ifelse newpath /_lp /none ddef _fc + /_doClip 0 ddef + } + { + _pf + } ifelse + } + { + /CRender + { + F + } ddef + } ifelse +} def +/f +{ + closepath + F +} def +/S +{ + _pola 0 eq + { + _doClip 1 eq + { + gsave _ps grestore _eo {eoclip} {clip} ifelse newpath /_lp /none ddef _sc + /_doClip 0 ddef + } + { + _ps + } ifelse + } + { + /CRender + { + S + } ddef + } ifelse +} def +/s +{ + closepath + S +} def +/B +{ + _pola 0 eq + { + _doClip 1 eq + gsave F grestore + { + gsave S grestore _eo {eoclip} {clip} ifelse newpath /_lp /none ddef _sc + /_doClip 0 ddef + } + { + S + } ifelse + } + { + /CRender + { + B + } ddef + } ifelse +} def +/b +{ + closepath + B +} def +/W +{ + /_doClip 1 ddef +} def +/* +{ + count 0 ne + { + dup type /stringtype eq + { + pop + } if + } if + newpath +} def +/u +{ +} def +/U +{ +} def +/q +{ + _pola 0 eq + { + gsave + } if +} def +/Q +{ + _pola 0 eq + { + grestore + } if +} def +/*u +{ + _pola 1 add /_pola exch ddef +} def +/*U +{ + _pola 1 sub /_pola exch ddef + _pola 0 eq + { + CRender + } if +} def +/D +{ + pop +} def +/*w +{ +} def +/*W +{ +} def +/` +{ + /_i save ddef + clipForward? + { + nulldevice + } if + 6 1 roll 4 npop + concat pop + userdict begin + /showpage + { + } def + 0 setgray + 0 setlinecap + 1 setlinewidth + 0 setlinejoin + 10 setmiterlimit + [] 0 setdash + /setstrokeadjust where {pop false setstrokeadjust} if + newpath + 0 setgray + false setoverprint +} def +/~ +{ + end + _i restore +} def +/_rgbtocmyk +{ + 3 + { + 1 exch sub 3 1 roll + } repeat + 3 copy 1 4 1 roll + 3 + { + 3 index 2 copy gt + { + exch + } if + pop 4 1 roll + } repeat + pop pop pop + 4 1 roll + 3 + { + 3 index sub + 3 1 roll + } repeat + 4 -1 roll +} def +/setrgbfill +{ + _rgbf astore pop + /_fc + { + _lp /fill ne + { + _of setoverprint + _rgbf aload pop setrgbcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/setrgbstroke +{ + _rgbs astore pop + /_sc + { + _lp /stroke ne + { + _os setoverprint + _rgbs aload pop setrgbcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/O +{ + 0 ne + /_of exch ddef + /_lp /none ddef +} def +/R +{ + 0 ne + /_os exch ddef + /_lp /none ddef +} def +/g +{ + /_gf exch ddef + /_fc + { + _lp /fill ne + { + _of setoverprint + _gf setgray + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/G +{ + /_gs exch ddef + /_sc + { + _lp /stroke ne + { + _os setoverprint + _gs setgray + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/k +{ + _cf astore pop + /_fc + { + _lp /fill ne + { + _of setoverprint + _cf aload pop setcmykcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/K +{ + _cs astore pop + /_sc + { + _lp /stroke ne + { + _os setoverprint + _cs aload pop setcmykcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/Xa +{ + _?cmyk { + 3 npop k + }{ + setrgbfill 4 npop + } ifelse +} def +/XA +{ + _?cmyk { + 3 npop K + }{ + setrgbstroke 4 npop + } ifelse +} def +/Xs +{ + /_gf exch ddef + 5 npop + /_fc + { + _lp /fill ne + { + _of setoverprint + _gf setAIseparationgray + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/XS +{ + /_gs exch ddef + 5 npop + /_sc + { + _lp /stroke ne + { + _os setoverprint + _gs setAIseparationgray + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/Xx +{ + exch + /_gf exch ddef + 0 eq { + findcmykcustomcolor + }{ + _?cmyk {true}{/findrgbcustomcolor where{pop false}{true}ifelse}ifelse + { + 4 1 roll 3 npop + findcmykcustomcolor + }{ + 8 -4 roll 4 npop + findrgbcustomcolor + } ifelse + } ifelse + /_if exch ddef + /_fc + { + _lp /fill ne + { + _of setoverprint + _if _gf 1 exch sub setcustomcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/XX +{ + exch + /_gs exch ddef + 0 eq { + findcmykcustomcolor + }{ + _?cmyk {true}{/findrgbcustomcolor where{pop false}{true}ifelse}ifelse + { + 4 1 roll 3 npop + findcmykcustomcolor + }{ + 8 -4 roll 4 npop + findrgbcustomcolor + } ifelse + } ifelse + /_is exch ddef + /_sc + { + _lp /stroke ne + { + _os setoverprint + _is _gs 1 exch sub setcustomcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/x +{ + /_gf exch ddef + findcmykcustomcolor + /_if exch ddef + /_fc + { + _lp /fill ne + { + _of setoverprint + _if _gf 1 exch sub setcustomcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/X +{ + /_gs exch ddef + findcmykcustomcolor + /_is exch ddef + /_sc + { + _lp /stroke ne + { + _os setoverprint + _is _gs 1 exch sub setcustomcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/XK +{ + 3 -1 roll pop + 0 eq + { + 1 exch sub + 3 {dup 3 1 roll mul 5 1 roll} repeat + mul 4 1 roll + K + } + { + 1 exch sub 4 1 roll + 3 {1 exch sub 3 index mul 1 exch sub 3 1 roll} repeat + 4 -1 roll pop + XA + } ifelse +} def +/Xk +{ + 3 -1 roll pop + 0 eq + { + 1 exch sub + 3 {dup 3 1 roll mul 5 1 roll} repeat + mul 4 1 roll + k + } + { + 1 exch sub 4 1 roll + 3 {1 exch sub 3 index mul 1 exch sub 3 1 roll} repeat + 4 -1 roll pop + Xa + } ifelse +} def +/A +{ + pop +} def +/annotatepage +{ +userdict /annotatepage 2 copy known {get exec} {pop pop} ifelse +} def +/XT { + pop pop +} def +/Xt { + pop +} def +/discard +{ + save /discardSave exch store + discardDict begin + /endString exch store + gt38? + { + 2 add + } if + load + stopped + pop + end + discardSave restore +} bind def +userdict /discardDict 7 dict dup begin +put +/pre38Initialize +{ + /endStringLength endString length store + /newBuff buffer 0 endStringLength getinterval store + /newBuffButFirst newBuff 1 endStringLength 1 sub getinterval store + /newBuffLast newBuff endStringLength 1 sub 1 getinterval store +} def +/shiftBuffer +{ + newBuff 0 newBuffButFirst putinterval + newBuffLast 0 + currentfile read not + { + stop + } if + put +} def +0 +{ + pre38Initialize + mark + currentfile newBuff readstring exch pop + { + { + newBuff endString eq + { + cleartomark stop + } if + shiftBuffer + } loop + } + { + stop + } ifelse +} def +1 +{ + pre38Initialize + /beginString exch store + mark + currentfile newBuff readstring exch pop + { + { + newBuff beginString eq + { + /layerCount dup load 1 add store + } + { + newBuff endString eq + { + /layerCount dup load 1 sub store + layerCount 0 eq + { + cleartomark stop + } if + } if + } ifelse + shiftBuffer + } loop + } if +} def +2 +{ + mark + { + currentfile buffer {readline} stopped { + % assume error was due to overfilling the buffer + }{ + not + { + stop + } if + endString eq { + cleartomark stop + } if + }ifelse + } loop +} def +3 +{ + /beginString exch store + /layerCnt 1 store + mark + { + currentfile buffer {readline} stopped { + % assume error was due to overfilling the buffer + }{ + not + { + stop + } if + dup beginString eq + { + pop /layerCnt dup load 1 add store + } + { + endString eq + { + layerCnt 1 eq + { + cleartomark stop + } + { + /layerCnt dup load 1 sub store + } ifelse + } if + } ifelse + }ifelse + } loop +} def +end +userdict /clipRenderOff 15 dict dup begin +put +{ + /n /N /s /S /f /F /b /B +} +{ + { + _doClip 1 eq + { + /_doClip 0 ddef _eo {eoclip} {clip} ifelse + } if + newpath + } def +} forall +/Tr /pop load def +/Bb {} def +/BB /pop load def +/Bg {12 npop} def +/Bm {6 npop} def +/Bc /Bm load def +/Bh {4 npop} def +end +/Lb +{ + 6 npop + 7 2 roll + 5 npop + 0 eq + { + 0 eq + { + (%AI5_BeginLayer) 1 (%AI5_EndLayer--) discard + } + { + + /clipForward? true def + + /Tx /pop load def + /Tj /pop load def + + currentdict end clipRenderOff begin begin + } ifelse + } + { + 0 eq + { + save /discardSave exch store + } if + } ifelse +} bind def +/LB +{ + discardSave dup null ne + { + restore + } + { + pop + clipForward? + { + currentdict + end + end + begin + + /clipForward? false ddef + } if + } ifelse +} bind def +/Pb +{ + pop pop + 0 (%AI5_EndPalette) discard +} bind def +/Np +{ + 0 (%AI5_End_NonPrinting--) discard +} bind def +/Ln /pop load def +/Ap +/pop load def +/Ar +{ + 72 exch div + 0 dtransform dup mul exch dup mul add sqrt + dup 1 lt + { + pop 1 + } if + setflat +} def +/Mb +{ + q +} def +/Md +{ +} def +/MB +{ + Q +} def +/nc 4 dict def +nc begin +/setgray +{ + pop +} bind def +/setcmykcolor +{ + 4 npop +} bind def +/setrgbcolor +{ + 3 npop +} bind def +/setcustomcolor +{ + 2 npop +} bind def +currentdict readonly pop +end +/XP +{ + 4 npop +} bind def +/XD +{ + pop +} bind def +end +setpacking +%%EndResource +%%BeginResource: procset Adobe_cshow 2.0 8 +%%Title: (Writing System Operators) +%%Version: 2.0 8 +%%CreationDate: (1/23/89) () +%%Copyright: ((C) 1992-1996 Adobe Systems Incorporated All Rights Reserved) +currentpacking true setpacking +userdict /Adobe_cshow 14 dict dup begin put +/initialize +{ + Adobe_cshow begin + Adobe_cshow + { + dup xcheck + { + bind + } if + pop pop + } forall + end + Adobe_cshow begin +} def +/terminate +{ +currentdict Adobe_cshow eq + { + end + } if +} def +/cforall +{ + /_lobyte 0 ddef + /_hibyte 0 ddef + /_cproc exch ddef + /_cscript currentfont /FontScript known { currentfont /FontScript get } { -1 } ifelse ddef + { + /_lobyte exch ddef + _hibyte 0 eq + _cscript 1 eq + _lobyte 129 ge _lobyte 159 le and + _lobyte 224 ge _lobyte 252 le and or and + _cscript 2 eq + _lobyte 161 ge _lobyte 254 le and and + _cscript 3 eq + _lobyte 161 ge _lobyte 254 le and and + _cscript 25 eq + _lobyte 161 ge _lobyte 254 le and and + _cscript -1 eq + or or or or and + { + /_hibyte _lobyte ddef + } + { + _hibyte 256 mul _lobyte add + _cproc + /_hibyte 0 ddef + } ifelse + } forall +} def +/cstring +{ + dup 256 lt + { + (s) dup 0 4 3 roll put + } + { + dup 256 idiv exch 256 mod + (hl) dup dup 0 6 5 roll put 1 4 3 roll put + } ifelse +} def +/clength +{ + 0 exch + { 256 lt { 1 } { 2 } ifelse add } cforall +} def +/hawidthshow +{ + { + dup cstring + show + _hvax _hvay rmoveto + _hvwb eq { _hvcx _hvcy rmoveto } if + } cforall +} def +/vawidthshow +{ + { + dup 255 le + _charorientation 1 eq + and + { + -90 rotate + 0 _fontRotateAdjust rmoveto + cstring + _hvcx _hvcy _hvwb _hvax _hvay 6 -1 roll awidthshow + 0 _fontRotateAdjust neg rmoveto + 90 rotate + } + { + currentpoint + _fontHeight sub + exch _hvay sub exch _hvax sub + 2 index _hvwb eq { exch _hvcy sub exch _hvcx sub } if + 3 2 roll + cstring + dup stringwidth pop 2 div neg _fontAscent neg rmoveto + show + moveto + } ifelse + } cforall +} def +/hvawidthshow +{ + 6 1 roll + /_hvay exch ddef + /_hvax exch ddef + /_hvwb exch ddef + /_hvcy exch ddef + /_hvcx exch ddef + _lineorientation 0 eq { hawidthshow } { vawidthshow } ifelse +} def +/hvwidthshow +{ + 0 0 3 -1 roll hvawidthshow +} def +/hvashow +{ + 0 0 0 6 -3 roll hvawidthshow +} def +/hvshow +{ + 0 0 0 0 0 6 -1 roll hvawidthshow +} def +currentdict readonly pop end +setpacking +%%EndResource +%%BeginResource: procset Adobe_shading_AI8 1.0 0 +%%Title: (Adobe Illustrator 8 Shading Procset) +%%Version: 1.0 0 +%%CreationDate: (12/17/97) () +%%Copyright: ((C) 1987-1997 Adobe Systems Incorporated All Rights Reserved) +userdict /defaultpacking currentpacking put true setpacking +userdict /Adobe_shading_AI8 10 dict dup begin put +/initialize { + Adobe_shading_AI8 begin + Adobe_shading_AI8 bdprocs + Mesh /initialize get exec +} def +/terminate { + currentdict Adobe_shading_AI8 eq { + end + } if +} def +/bdprocs { + { + dup xcheck 1 index type /arraytype eq and { + bind + } if + pop pop + } forall +} def +/X! {pop} def +/X# {pop pop} def +/Mesh 40 dict def +Mesh begin +/initialize { + Mesh bdprocs + Mesh begin + /emulate? /AI8MeshEmulation where { + pop AI8MeshEmulation + }{ + systemdict /shfill known not + } ifelse def + end +} def +/bd { + shadingdict begin +} def +/paint { + emulate? { + end + }{ + /_lp /none ddef _fc /_lp /none ddef + + /AIColorSpace AIColorSpace tocolorspace store + /ColorSpace AIColorSpace topsspace store + + version_ge_3010.106 not systemdict /setsmoothness known and { + 0.0001 setsmoothness + } if + + composite? { + /DataSource getdatasrc def + Matrix concat + currentdict end + shfill + }{ + AIColorSpace makesmarks AIPlateList markingplate and not isoverprint and { + end + }{ + /ColorSpace /DeviceGray store + /Decode [0 1 0 1 0 1] store + /DataSource getplatesrc def + Matrix concat + currentdict end + shfill + } ifelse + } ifelse + } ifelse +} def +/shadingdict 12 dict def +shadingdict begin + /ShadingType 6 def + /BitsPerCoordinate 16 def + /BitsPerComponent 8 def + /BitsPerFlag 8 def +end +/datafile null def +/databuf 256 string def +/dataptr 0 def +/srcspace null def +/srcchannels 0 def +/dstchannels 0 def +/dstplate 0 def +/srctodstcolor null def +/getplatesrc { + /srcspace AIColorSpace store + /srcchannels AIColorSpace getnchannels store + /dstchannels 1 store + /dstplate getplateindex store + /srctodstcolor srcspace makesmarks { + dstplate 4 eq { + {1 exch sub} + }{ + {srcspace tocmyk 3 dstplate sub index 1 exch sub 5 1 roll 4 {pop} repeat} + } ifelse + }{ + {srcchannels {pop} repeat 1} + } ifelse store + /datafile getdatasrc store + /rdpatch168 load DataLength () /SubFileDecode filter +} def +/getdatasrc { + /rdcmntline load /ASCII85Decode filter +} def +/rdpatch168 { + /dataptr 0 store + 49 rdcount + 4 { + dup {pop srcchannels getint8} if + dup {pop srctodstcolor dstchannels putint8 true} if + } repeat + {databuf 0 dataptr getinterval}{()} ifelse +} def +/rdpatch3216 { + /dataptr 0 store + 97 rdcount + 4 { + dup {pop srcchannels getint16} if + dup {pop srctodstcolor dstchannels putint16 true} if + } repeat + {databuf 0 dataptr getinterval}{()} ifelse +} def +/rdcount { + dup 0 gt { + datafile databuf dataptr 4 -1 roll getinterval readstring + exch length dataptr add /dataptr exch store + }{ + true + } ifelse +} def +/getint8 { + mark true 3 -1 roll + { + dup {pop datafile read} if + dup {pop 255 div true} if + } repeat + { + counttomark 1 add -1 roll pop true + }{ + cleartomark false + } ifelse +} def +/putint8 { + dup dataptr add /dataptr exch store + dataptr exch + { + 1 sub exch + 255 mul cvi + databuf 2 index + 3 -1 roll put + } repeat + pop +} def +/getint16 { + mark true 3 -1 roll + { + dup {pop datafile read} if + dup {pop 256 mul datafile read} if + dup {pop add 65535 div true} if + } repeat + { + counttomark 1 add -1 roll pop true + }{ + cleartomark false + } ifelse +} def +/putint16 { + dup 2 mul dataptr add /dataptr exch store + dataptr exch + { + 2 sub exch + 65535 mul cvi dup + 256 idiv databuf 3 index 3 -1 roll put + 256 mod databuf 2 index 1 add 3 -1 roll put + } repeat + pop +} def +/srcbuf 256 string def +/rdcmntline { + currentfile srcbuf readline pop + (%) anchorsearch {pop} if +} def +/getplateindex { + 0 [cyan? magenta? yellow? black? customColor?] {{exit} if 1 add} forall +} def +/aicsarray 4 array def +/aicsaltvals 4 array def +/aicsaltcolr aicsaltvals def +/tocolorspace { + dup type /arraytype eq { + mark exch aload pop + aicsarray 0 3 -1 roll put + aicsarray 1 3 -1 roll put + dup aicsarray 2 3 -1 roll put + gettintxform aicsarray 3 3 -1 roll put + counttomark aicsaltvals 0 3 -1 roll getinterval /aicsaltcolr exch store + aicsaltcolr astore pop pop + aicsarray + } if +} def +/subtintxform {aicsaltcolr {1 index mul exch} forall pop} def +/addtintxform {aicsaltcolr {1 sub 1 index mul 1 add exch} forall pop} def +/gettintxform { + /DeviceRGB eq {/addtintxform}{/subtintxform} ifelse load +} def +/getnchannels { + dup type /arraytype eq {0 get} if + colorspacedict exch get begin Channels end +} def +/makesmarks { + composite? { + pop true + }{ + dup dup type /arraytype eq {0 get} if + colorspacedict exch get begin MarksPlate end + } ifelse +} def +/markingplate { + composite? { + pop true + }{ + dup type /arraytype eq { + dup length getplateindex gt {getplateindex get}{pop false} ifelse + } if + } ifelse +} def +/tocmyk { + dup dup type /arraytype eq {0 get} if + colorspacedict exch get begin ToCMYK end +} def +/topsspace { + dup dup type /arraytype eq {0 get} if + colorspacedict exch get begin ToPSSpace end +} def +/colorspacedict 5 dict dup begin + /DeviceGray 4 dict dup begin + /Channels 1 def + /MarksPlate {pop black?} def + /ToCMYK {pop 1 exch sub 0 0 0 4 -1 roll} def + /ToPSSpace {} def + end def + /DeviceRGB 4 dict dup begin + /Channels 3 def + /MarksPlate {pop isCMYKSep?} def + /ToCMYK {pop _rgbtocmyk} def + /ToPSSpace {} def + end def + /DeviceCMYK 4 dict dup begin + /Channels 4 def + /MarksPlate {pop isCMYKSep?} def + /ToCMYK {pop} def + /ToPSSpace {} def + end def + /Separation 4 dict dup begin + /Channels 1 def + /MarksPlate { + /findcmykcustomcolor where { + pop dup 1 exch ToCMYK 5 -1 roll 1 get + findcmykcustomcolor 1 setcustomcolor + systemdict /currentgray get exec + 1 ne + }{ + pop false + } ifelse + } def + /ToCMYK { + dup 2 get mark exch 4 2 roll + 3 get exec + counttomark -1 roll tocmyk + 5 -1 roll pop + } def + /ToPSSpace {} def + end def + /Process 4 dict dup begin + /Channels 1 def + /MarksPlate { + isCMYKSep? { + 1 exch ToCMYK 4 array astore getplateindex get 0 ne + }{ + pop false + } ifelse + } def + /ToCMYK { + dup 2 get mark exch 4 2 roll + 3 get exec + counttomark -1 roll tocmyk + 5 -1 roll pop + } def + /ToPSSpace { + 4 array copy dup 0 /Separation put + } def + end def +end def +/isoverprint { + /currentoverprint where {pop currentoverprint}{_of} ifelse +} def +/version_ge_3010.106 { + version {cvr} stopped { + pop + false + }{ + 3010.106 ge + } ifelse +} def +end +end 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0 G 0 J 0 j 0.5 w 4 M []0 d 0 XR 351.5 292 m 324.5 292 L S 360.5 283 m 360.5 256 L S U u 351.5 307 m 324.5 307 L S 360.5 316 m 360.5 343 L S U u 449.5 307 m 476.5 307 L S 440.5 316 m 440.5 343 L S U u 449.5 292 m 476.5 292 L S 440.5 283 m 440.5 256 L S U U } if %AI3_EndCrops %%PageTrailer gsave annotatepage grestore showpage %%Trailer Adobe_Illustrator_AI5 /terminate get exec +Adobe_shading_AI8 /terminate get exec +Adobe_ColorImage_AI6 /terminate get exec +Adobe_cshow /terminate get exec +Adobe_level2_AI5 /terminate get exec +%%EOF \ No newline at end of file diff --git a/paper/CC-by.pdf b/paper/CC-by.pdf new file mode 100644 index 0000000..7b790d0 Binary files /dev/null and b/paper/CC-by.pdf differ diff --git a/paper/Makefile b/paper/Makefile new file mode 100644 index 0000000..6802dce --- /dev/null +++ b/paper/Makefile @@ -0,0 +1,58 @@ + +LAB_PATH ?= ../lab-windows + +SHELL := bash +.ONESHELL: +.SHELLFLAGS := -eu -o pipefail -c +.DELETE_ON_ERROR: +MAKEFLAGS += --warn-undefined-variables +MAKEFLAGS += --no-builtin-rules + +main_tex ?= safety-reset-paper + +VERSION_STRING := 1.0 # $(shell git describe --tags --long) + +all: ${main_tex}.pdf + +%.pdf: %.tex safety-reset-paper.bib version.tex + pdflatex -shell-escape $< + bibtex $* + pdflatex -shell-escape $< + +.PHONY: once +once: safety-reset-paper.tex safety-reset-paper.bib version.tex + bibtex safety-reset-paper + pdflatex -shell-escape $< + +version.tex: ${main_tex}.tex safety-reset-paper.bib + echo "${VERSION_STRING}" > $@ + +resources/%.pdf: $(LAB_PATH)/%.ipynb + jupyter-nbconvert --to=pdf --output-dir=resources --output=$* --LatexExporter.template_file=resources/nbexport.tplx $^ + +.PHONY: submission +submission: acsac22-15.zip + +acsac22-15.zip: clean + rm -f acsac22-15.zip + mkdir -p submission/pdf + mkdir -p submission/Source + cd submission + cp ../safety-reset-paper.pdf pdf/ + cp ../safety-reset-paper.tex Source/ + cp ../safety-reset-paper.bib Source/ACSAC22-15.bib + cp ../flowchart.pdf Source/ + cp ../freq_meas_spectrum_new.pdf Source/ + cp ../dsss_gold_nbits_overview.pdf Source/ + cp ../dsss_thf_amplitude_5678.pdf Source/ + cp ../chip_duration_sensitivity_6.pdf Source/ + cp ../prototype.jpg Source/ + cp ../prototype_schema.pdf Source/ + zip -r ../acsac22-15.zip * + + +.PHONY: clean +clean: + rm -f ${main_tex}.aux ${main_tex}.bbl ${main_tex}.bcf ${main_tex}.log ${main_tex}.blg + rm -f ${main_tex}.out ${main_tex}.run.xml texput.log + diff --git a/paper/chip_duration_sensitivity_6.pdf b/paper/chip_duration_sensitivity_6.pdf new file mode 100644 index 0000000..e78f90f Binary files /dev/null and b/paper/chip_duration_sensitivity_6.pdf differ diff --git a/paper/dsss_gold_nbits_overview.pdf b/paper/dsss_gold_nbits_overview.pdf new file mode 100644 index 0000000..3690ad8 Binary files /dev/null and b/paper/dsss_gold_nbits_overview.pdf differ diff --git a/paper/dsss_thf_amplitude_5678.pdf b/paper/dsss_thf_amplitude_5678.pdf new file mode 100644 index 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%FFFFFF7D27527DFFFFFF52F8F87D7D837DA77D27F8F8F852FD06FF7D27FF %FFA8F8F852FFFF7DFD40F827FF52F8F852FFFD057DF8F852FFFFFF27FD04 %F852A827FD04F827FFFFA8F8F852837D7D7DA82DF8F8F852FFFF52F87DFF %FFF852FFFF52F8A8FF7DFD42F8FF52F8F852FF7D7D7DA77DF8F87DFFFF52 %F8F8A8A827527DF827A8FF2752FFFFFF27F8527D837D7D7D58F8F8F852FF %FF27F87DFFFF27F8A8FFFFA8FFFF27FD41F827FF52F8F852FFFD057DF8F8 %7DFFFF27F87DFD04FF27F852FD07FFF8F82783FD047D52F8F8F827FD06FF %52F8F8F8FD04FF52FD43F8FF27F8F852FF7D837DA858F8F8A8FFFF27F852 %FD04FF52F87DFD07FF27F8527D837D837D7DF8F8F852FFFF7DA8A8FFA827 %F8F827FFFFA8FD43F827FF52F8F852FFFD057DF8F87DFFFF52F827A8FF27 %5252F8F8A8A82727FFFFFFF8F82783FD047D52F8F8F827FFFF27F827FFFF %7DF8F827A8FF52FD44F8FF52F8F852FF7D837D7D7D27F852FFFFA827FD04 %F827FF27FD04F827FFFFA8F8F8587D7D7D837D52F8F8F852FFFF522752FF %FF7DF8F827FFFF7DFD43F827FF52F8F852FFFD057D27F8F8FFFFFFA85227 %527DFFFFFF5227277DFFFFFF7DF8F852FD047D8327F8F8F852FD07FFF8F8 %F827FFFF52FD44F8FF52F8F852FF7D837D837D7DF8F852FD11FFF8F827A8 %7D837DA87D27F8F8F827FD067DFD05F87D7D52FD43F827FF52F8F852FFFD %067D27F8F87DFD0FFF27F8F858FD057D52FD57F8FF52F8F852FF7D7D7D83 %7D8358F8F827A8FD0DFF52F8F8527D7D7D837D7DFD57F827FF52F8F852FF %FD077D52F8F8F87DFD0AFFA827F8F827FD057D8327FD58F8FF27F8F852FF %7D837DA87D837DA85227F8F852A8FD07FF7DF8F8F8277DA87D837DA85827 %F827F827F827F827F827F827F827F827F827F827F827F827F827F827F827 %F827F827F827F827F827F827F827F827F827F827F827F827F827F827F827 %F827F827F827F827F827F827F827F827F827F827F827F827F827F827FF52 %F8F852FD0CFFA8FFA8FD07FFA8FFA8FD63FF52F8F827FD7C5227FD80F8F8 %%EndData %%EndComments %%BeginProlog %%BeginResource: procset Adobe_level2_AI5 1.2 0 +%%Title: (Adobe Illustrator (R) Version 5.0 Level 2 Emulation) +%%Version: 1.2 0 +%%CreationDate: (04/10/93) () +%%Copyright: ((C) 1987-1996 Adobe Systems Incorporated All Rights Reserved) +userdict /Adobe_level2_AI5 26 dict dup begin + put + /packedarray where not + { + userdict begin + /packedarray + { + array astore readonly + } bind def + /setpacking /pop load def + /currentpacking false def + end + 0 + } if + pop + userdict /defaultpacking currentpacking put true setpacking + /initialize + { + Adobe_level2_AI5 begin + } bind def + /terminate + { + currentdict Adobe_level2_AI5 eq + { + end + } if + } bind def + mark + /setcustomcolor where not + { + /findcmykcustomcolor + { + (AI8_CMYK_CustomColor) + 6 packedarray + } bind def + /findrgbcustomcolor + { + (AI8_RGB_CustomColor) + 5 packedarray + } bind def + /setcustomcolor + { + exch + aload pop dup + (AI8_CMYK_CustomColor) eq + { + pop pop + 4 + { + 4 index mul + 4 1 roll + } repeat + 5 -1 roll pop + setcmykcolor + } + { + dup (AI8_RGB_CustomColor) eq + { + pop pop + 3 + { + 1 exch sub + 3 index mul + 1 exch sub + 3 1 roll + } repeat + 4 -1 roll pop + setrgbcolor + } + { + pop + 4 + { + 4 index mul 4 1 roll + } repeat + 5 -1 roll pop + setcmykcolor + } ifelse + } ifelse + } + def + } if + /setAIseparationgray + { + false setoverprint + 0 setgray + /setseparationgray where{ + pop setseparationgray + }{ + /setcolorspace where{ + pop + [/Separation (All) /DeviceCMYK {dup dup dup}] setcolorspace + 1 exch sub setcolor + }{ + setgray + }ifelse + }ifelse + } def + + /gt38? mark {version cvr cvx exec} stopped {cleartomark true} {38 gt exch pop} ifelse def + userdict /deviceDPI 72 0 matrix defaultmatrix dtransform dup mul exch dup mul add sqrt put + userdict /level2? + systemdict /languagelevel known dup + { + pop systemdict /languagelevel get 2 ge + } if + put +/level2ScreenFreq +{ + begin + 60 + HalftoneType 1 eq + { + pop Frequency + } if + HalftoneType 2 eq + { + pop GrayFrequency + } if + HalftoneType 5 eq + { + pop Default level2ScreenFreq + } if + end +} bind def +userdict /currentScreenFreq + level2? {currenthalftone level2ScreenFreq} {currentscreen pop pop} ifelse put +level2? not + { + /setcmykcolor where not + { + /setcmykcolor + { + exch .11 mul add exch .59 mul add exch .3 mul add + 1 exch sub setgray + } def + } if + /currentcmykcolor where not + { + /currentcmykcolor + { + 0 0 0 1 currentgray sub + } def + } if + /setoverprint where not + { + /setoverprint /pop load def + } if + /selectfont where not + { + /selectfont + { + exch findfont exch + dup type /arraytype eq + { + makefont + } + { + scalefont + } ifelse + setfont + } bind def + } if + /cshow where not + { + /cshow + { + [ + 0 0 5 -1 roll aload pop + ] cvx bind forall + } bind def + } if + } if + cleartomark + /anyColor? + { + add add add 0 ne + } bind def + /testColor + { + gsave + setcmykcolor currentcmykcolor + grestore + } bind def + /testCMYKColorThrough + { + testColor anyColor? + } bind def + userdict /composite? + 1 0 0 0 testCMYKColorThrough + 0 1 0 0 testCMYKColorThrough + 0 0 1 0 testCMYKColorThrough + 0 0 0 1 testCMYKColorThrough + and and and + put + composite? not + { + userdict begin + gsave + /cyan? 1 0 0 0 testCMYKColorThrough def + /magenta? 0 1 0 0 testCMYKColorThrough def + /yellow? 0 0 1 0 testCMYKColorThrough def + /black? 0 0 0 1 testCMYKColorThrough def + grestore + /isCMYKSep? cyan? magenta? yellow? black? or or or def + /customColor? isCMYKSep? not def + end + } if + end defaultpacking setpacking +%%EndResource +%%BeginProcSet: Adobe_ColorImage_AI6 1.3 0 +userdict /Adobe_ColorImage_AI6 known not +{ + userdict /Adobe_ColorImage_AI6 53 dict put +} if +userdict /Adobe_ColorImage_AI6 get begin +/initialize { + Adobe_ColorImage_AI6 begin + Adobe_ColorImage_AI6 { + dup type /arraytype eq { + dup xcheck { + bind + } if + } if + pop pop + } forall +} def +/terminate { end } def +currentdict /Adobe_ColorImage_AI6_Vars known not { + /Adobe_ColorImage_AI6_Vars 41 dict def +} if +Adobe_ColorImage_AI6_Vars begin + /plateindex -1 def + /_newproc null def + /_proc1 null def + /_proc2 null def + /sourcearray 4 array def + /_ptispace null def + /_ptiname null def + /_pti0 0 def + /_pti1 0 def + /_ptiproc null def + /_ptiscale 0 def + /_pticomps 0 def + /_ptibuf 0 string def + /_gtigray 0 def + /_cticmyk null def + /_rtirgb null def + /XIEnable true def + /XIType 0 def + /XIEncoding 0 def + /XICompression 0 def + /XIChannelCount 0 def + /XIBitsPerPixel 0 def + /XIImageHeight 0 def + /XIImageWidth 0 def + /XIImageMatrix null def + /XIRowBytes 0 def + /XIFile null def + /XIBuffer1 null def + /XIBuffer2 null def + /XIBuffer3 null def + /XIDataProc null def + /XIColorSpace /DeviceGray def + /XIColorValues 0 def + /XIPlateList false def +end +/ci6colorimage /colorimage where {/colorimage get}{null} ifelse def +/ci6image systemdict /image get def +/ci6curtransfer systemdict /currenttransfer get def +/ci6curoverprint /currentoverprint where {/currentoverprint get}{{_of}} ifelse def +/ci6foureq { + 4 index ne { + pop pop pop false + }{ + 4 index ne { + pop pop false + }{ + 4 index ne { + pop false + }{ + 4 index eq + } ifelse + } ifelse + } ifelse +} def +/ci6testplate { + Adobe_ColorImage_AI6_Vars begin + /plateindex -1 def + /setcmykcolor where { + pop + gsave + 1 0 0 0 setcmykcolor systemdict /currentgray get exec 1 exch sub + 0 1 0 0 setcmykcolor systemdict /currentgray get exec 1 exch sub + 0 0 1 0 setcmykcolor systemdict /currentgray get exec 1 exch sub + 0 0 0 1 setcmykcolor systemdict /currentgray get exec 1 exch sub + grestore + 1 0 0 0 ci6foureq { + /plateindex 0 def + }{ + 0 1 0 0 ci6foureq { + /plateindex 1 def + }{ + 0 0 1 0 ci6foureq { + /plateindex 2 def + }{ + 0 0 0 1 ci6foureq { + /plateindex 3 def + }{ + 0 0 0 0 ci6foureq { + /plateindex 5 def + } if + } ifelse + } ifelse + } ifelse + } ifelse + pop pop pop pop + } if + plateindex + end +} def +/ci6concatprocs { + /packedarray where { + pop dup type /packedarraytype eq 2 index type + /packedarraytype eq or + }{ + false + } ifelse + { + /_proc2 exch cvlit def + /_proc1 exch cvlit def + _proc1 aload pop + _proc2 aload pop + _proc1 length + _proc2 length add + packedarray cvx + }{ + /_proc2 exch cvlit def + /_proc1 exch cvlit def + /_newproc _proc1 length _proc2 length add array def + _newproc 0 _proc1 putinterval + _newproc _proc1 length _proc2 putinterval + _newproc cvx + } ifelse +} def +/ci6istint { + type /arraytype eq +} def +/ci6isspot { + dup type /arraytype eq { + dup length 1 sub get /Separation eq + }{ + pop false + } ifelse +} def +/ci6spotname { + dup ci6isspot {dup length 2 sub get}{pop ()} ifelse +} def +/ci6altspace { + aload pop pop pop ci6colormake +} def +/ci6numcomps { + dup /DeviceGray eq { + pop 1 + }{ + dup /DeviceRGB eq { + pop 3 + }{ + /DeviceCMYK eq { + 4 + }{ + 1 + } ifelse + } ifelse + } ifelse +} def +/ci6marksplate { + dup /DeviceGray eq { + pop plateindex 3 eq + }{ + dup /DeviceRGB eq { + pop plateindex 5 ne + }{ + dup /DeviceCMYK eq { + pop plateindex 5 ne + }{ + dup ci6isspot { + /findcmykcustomcolor where { + pop + dup length 2 sub get + 0.1 0.1 0.1 0.1 5 -1 roll + findcmykcustomcolor 1 setcustomcolor + systemdict /currentgray get exec + 1 ne + }{ + pop plateindex 5 ne + } ifelse + }{ + pop plateindex 5 ne + } ifelse + } ifelse + } ifelse + } ifelse +} def +/ci6colormake { + dup ci6numcomps + exch 1 index 2 add 1 roll + dup 1 eq {pop}{array astore} ifelse + exch +} def +/ci6colorexpand { + dup ci6spotname exch + dup ci6istint { + ci6altspace + exch 4 1 roll + }{ + 1 3 1 roll + } ifelse +} def +/ci6colortint { + dup /DeviceGray eq { + 3 1 roll 1 exch sub mul 1 exch sub exch + }{ + dup /DeviceRGB eq { + 3 1 roll {1 exch sub 1 index mul 1 exch sub exch} forall pop 3 array astore exch + }{ + dup /DeviceCMYK eq { + 3 1 roll {1 index mul exch} forall pop 4 array astore exch + }{ + 3 1 roll mul exch + } ifelse + } ifelse + } ifelse +} def +/ci6colortocmyk { + dup /DeviceGray eq { + pop 1 exch sub 0 0 0 4 -1 roll 4 array astore + }{ + dup /DeviceRGB eq { + pop aload pop _rgbtocmyk 4 array astore + }{ + dup /DeviceCMYK eq { + pop + }{ + ci6altspace ci6colortint ci6colortocmyk + } ifelse + } ifelse + } ifelse +} def +/ci6makeimagedict { + 7 dict begin + /ImageType 1 def + /Decode exch def + /DataSource exch def + /ImageMatrix exch def + /BitsPerComponent exch def + /Height exch def + /Width exch def + currentdict end +} def +/ci6stringinvert { + 0 1 2 index length 1 sub { + dup 2 index exch get 255 exch sub 2 index 3 1 roll put + } for +} def +/ci6stringknockout { + 0 1 2 index length 1 sub { + 255 2 index 3 1 roll put + } for +} def +/ci6stringapply { + 0 1 4 index length 1 sub { + dup + 4 index exch get + 3 index 3 1 roll + 3 index exec + } for + pop exch pop +} def +/ci6walkrgbstring { + 0 3 index + dup length 1 sub 0 3 3 -1 roll { + 3 getinterval {} forall + 5 index exec + 3 index + } for + + 5 {pop} repeat +} def +/ci6walkcmykstring +{ + 0 3 index + dup length 1 sub 0 4 3 -1 roll { + 4 getinterval {} forall + + 6 index exec + + 3 index + + } for + + 5 { pop } repeat + +} def +/ci6putrgbtograystr +{ + .11 mul exch + + .59 mul add exch + + .3 mul add + + cvi 3 copy put + + pop 1 add +} def +/ci6putcmyktograystr +{ + exch .11 mul add + + exch .59 mul add + + exch .3 mul add + + dup 255 gt { pop 255 } if + + 255 exch sub cvi 3 copy put + + pop 1 add +} def +/ci6rgbtograyproc { + Adobe_ColorImage_AI6_Vars begin + sourcearray 0 get exec + XIBuffer3 + dup 3 1 roll + + /ci6putrgbtograystr load exch + ci6walkrgbstring + end +} def +/ci6cmyktograyproc { + Adobe_ColorImage_AI6_Vars begin + sourcearray 0 get exec + XIBuffer3 + dup 3 1 roll + + /ci6putcmyktograystr load exch + ci6walkcmykstring + end +} def +/ci6separatecmykproc { + Adobe_ColorImage_AI6_Vars begin + sourcearray 0 get exec + + XIBuffer3 + + 0 2 index + + plateindex 4 2 index length 1 sub { + get 255 exch sub + + 3 copy put pop 1 add + + 2 index + } for + pop pop exch pop + end +} def + +/ci6compositeimage { + dup 1 eq { + pop pop image + }{ + /ci6colorimage load null ne { + ci6colorimage + }{ + 3 1 roll pop + sourcearray 0 3 -1 roll put + 3 eq {/ci6rgbtograyproc}{/ci6cmyktograyproc} ifelse load + image + } ifelse + } ifelse +} def +/ci6knockoutimage { + gsave + 0 ci6curtransfer exec 1 ci6curtransfer exec + eq { + 0 ci6curtransfer exec 0.5 lt + }{ + 0 ci6curtransfer exec 1 ci6curtransfer exec gt + } ifelse + {{pop 0}}{{pop 1}} ifelse + systemdict /settransfer get exec + ci6compositeimage + grestore +} def +/ci6drawimage { + ci6testplate -1 eq { + pop ci6compositeimage + }{ + dup type /arraytype eq { + dup length plateindex gt {plateindex get}{pop false} ifelse + }{ + { + true + }{ + dup 1 eq {plateindex 3 eq}{plateindex 3 le} ifelse + } ifelse + } ifelse + { + dup 1 eq { + pop pop ci6image + }{ + dup 3 eq { + ci6compositeimage + }{ + pop pop + sourcearray 0 3 -1 roll put + /ci6separatecmykproc load + ci6image + } ifelse + } ifelse + }{ + ci6curoverprint { + 7 {pop} repeat + }{ + ci6knockoutimage + } ifelse + } ifelse + } ifelse +} def +/ci6proctintimage { + /_ptispace exch store /_ptiname exch store /_pti1 exch store /_pti0 exch store /_ptiproc exch store + /_pticomps _ptispace ci6numcomps store + /_ptiscale _pti1 _pti0 sub store + level2? { + _ptiname length 0 gt version cvr 2012 ge and { + [/Separation _ptiname _ptispace {_ptiproc}] setcolorspace + [_pti0 _pti1] ci6makeimagedict ci6image + }{ + [/Indexed _ptispace 255 {255 div _ptiscale mul _pti0 add _ptiproc}] setcolorspace + [0 255] ci6makeimagedict ci6image + } ifelse + }{ + _pticomps 1 eq { + { + dup + { + 255 div _ptiscale mul _pti0 add _ptiproc 255 mul cvi put + } ci6stringapply + } ci6concatprocs ci6image + }{ + { + dup length _pticomps mul dup _ptibuf length ne {/_ptibuf exch string store}{pop} ifelse + _ptibuf { + exch _pticomps mul exch 255 div _ptiscale mul _pti0 add _ptiproc + _pticomps 2 add -2 roll + _pticomps 1 sub -1 0 { + 1 index add 2 index exch + 5 -1 roll + 255 mul cvi put + } for + pop pop + } ci6stringapply + } ci6concatprocs false _pticomps + /ci6colorimage load null eq {7 {pop} repeat}{ci6colorimage} ifelse + } ifelse + } ifelse +} def +/ci6graytintimage { + /_gtigray 5 -1 roll store + {1 _gtigray sub mul 1 exch sub} 4 1 roll + /DeviceGray ci6proctintimage +} def +/ci6cmyktintimage { + /_cticmyk 5 -1 roll store + {_cticmyk {1 index mul exch} forall pop} 4 1 roll + /DeviceCMYK ci6proctintimage +} def +/ci6rgbtintimage { + /_rtirgb 5 -1 roll store + {_rtirgb {1 exch sub 1 index mul 1 exch sub exch} forall pop} 4 1 roll + /DeviceRGB ci6proctintimage +} def +/ci6tintimage { + ci6testplate -1 eq { + ci6colorexpand + 3 -1 roll 5 -1 roll {0}{0 exch} ifelse 4 2 roll + dup /DeviceGray eq { + pop ci6graytintimage + }{ + dup /DeviceRGB eq { + pop ci6rgbtintimage + }{ + pop ci6cmyktintimage + } ifelse + } ifelse + }{ + dup ci6marksplate { + plateindex 5 lt { + ci6colortocmyk plateindex get + dup 0 eq ci6curoverprint and { + 7 {pop} repeat + }{ + 1 exch sub + exch {1 0}{0 1} ifelse () ci6graytintimage + } ifelse + }{ + pop exch {0}{0 exch} ifelse 0 3 1 roll () ci6graytintimage + } ifelse + }{ + ci6curoverprint { + 8 {pop} repeat + }{ + pop pop pop + {pop 1} 0 1 () /DeviceGray ci6proctintimage + } ifelse + } ifelse + } ifelse +} def +/XINullImage { +} def +/XIImageMask { + XIImageWidth XIImageHeight false + [XIImageWidth 0 0 XIImageHeight neg 0 0] + /XIDataProc load + imagemask +} def +/XIImageTint { + XIImageWidth XIImageHeight XIBitsPerPixel + [XIImageWidth 0 0 XIImageHeight neg 0 0] + /XIDataProc load + XIType 3 eq XIColorValues XIColorSpace ci6tintimage +} def +/XIImage { + XIImageWidth XIImageHeight XIBitsPerPixel + [XIImageWidth 0 0 XIImageHeight neg 0 0] + /XIDataProc load + false XIChannelCount XIPlateList ci6drawimage +} def +/XG { + pop pop +} def +/XF { + 13 {pop} repeat +} def +/Xh { + Adobe_ColorImage_AI6_Vars begin + gsave + /XIType exch def + /XIImageHeight exch def + /XIImageWidth exch def + /XIImageMatrix exch def + 0 0 moveto + XIImageMatrix concat + XIImageWidth XIImageHeight scale + + /_lp /null ddef + _fc + /_lp /imagemask ddef + end +} def +/XH { + Adobe_ColorImage_AI6_Vars begin + grestore + end +} def +/XIEnable { + Adobe_ColorImage_AI6_Vars /XIEnable 3 -1 roll put +} def +/XC { + Adobe_ColorImage_AI6_Vars begin + ci6colormake + /XIColorSpace exch def + /XIColorValues exch def + end +} def +/XIPlates { + Adobe_ColorImage_AI6_Vars begin + /XIPlateList exch def + end +} def +/XI +{ + Adobe_ColorImage_AI6_Vars begin + gsave + /XIType exch def + cvi dup + 256 idiv /XICompression exch store + 256 mod /XIEncoding exch store + pop pop + /XIChannelCount exch def + /XIBitsPerPixel exch def + /XIImageHeight exch def + /XIImageWidth exch def + pop pop pop pop + /XIImageMatrix exch def + XIBitsPerPixel 1 eq { + XIImageWidth 8 div ceiling cvi + }{ + XIImageWidth XIChannelCount mul + } ifelse + /XIRowBytes exch def + XIEnable { + /XIBuffer3 XIImageWidth string def + XICompression 0 eq { + /XIBuffer1 XIRowBytes string def + XIEncoding 0 eq { + {currentfile XIBuffer1 readhexstring pop} + }{ + {currentfile XIBuffer1 readstring pop} + } ifelse + }{ + /XIBuffer1 256 string def + /XIBuffer2 XIRowBytes string def + {currentfile XIBuffer1 readline pop (%) anchorsearch {pop} if} + /ASCII85Decode filter /DCTDecode filter + /XIFile exch def + {XIFile XIBuffer2 readstring pop} + } ifelse + /XIDataProc exch def + + XIType 1 ne { + 0 setgray + } if + XIType 1 eq { + XIImageMask + }{ + XIType 2 eq XIType 3 eq or { + XIImageTint + }{ + XIImage + } ifelse + } ifelse + }{ + XINullImage + } ifelse + /XIPlateList false def + grestore + end +} def +end +%%EndProcSet +%%BeginResource: procset Adobe_Illustrator_AI5 1.3 0 +%%Title: (Adobe Illustrator (R) Version 8.0 Full Prolog) +%%Version: 1.3 0 +%%CreationDate: (3/7/1994) () +%%Copyright: ((C) 1987-1998 Adobe Systems Incorporated All Rights Reserved) +currentpacking true setpacking +userdict /Adobe_Illustrator_AI5_vars 112 dict dup begin +put +/_?cmyk false def +/_eo false def +/_lp /none def +/_pf +{ +} def +/_ps +{ +} def +/_psf +{ +} def +/_pss +{ +} def +/_pjsf +{ +} def +/_pjss +{ +} def +/_pola 0 def +/_doClip 0 def +/cf currentflat def +/_lineorientation 0 def +/_charorientation 0 def +/_yokoorientation 0 def +/_tm matrix def +/_renderStart +[ +/e0 /r0 /a0 /o0 /e1 /r1 /a1 /i0 +] def +/_renderEnd +[ +null null null null /i1 /i1 /i1 /i1 +] def +/_render -1 def +/_shift [0 0] def +/_ax 0 def +/_ay 0 def +/_cx 0 def +/_cy 0 def +/_leading +[ +0 0 +] def +/_ctm matrix def +/_mtx matrix def +/_sp 16#020 def +/_hyphen (-) def +/_fontSize 0 def +/_fontAscent 0 def +/_fontDescent 0 def +/_fontHeight 0 def +/_fontRotateAdjust 0 def +/Ss 256 string def +Ss 0 (fonts/) putinterval +/_cnt 0 def +/_scale [1 1] def +/_nativeEncoding 0 def +/_useNativeEncoding 0 def +/_tempEncode 0 def +/_pntr 0 def +/_tDict 2 dict def +/_hfname 100 string def +/_hffound false def +/Tx +{ +} def +/Tj +{ +} def +/CRender +{ +} def +/_AI3_savepage +{ +} def +/_gf null def +/_cf 4 array def +/_rgbf 3 array def +/_if null def +/_of false def +/_fc +{ +} def +/_gs null def +/_cs 4 array def +/_rgbs 3 array def +/_is null def +/_os false def +/_sc +{ +} def +/_pd 1 dict def +/_ed 15 dict def +/_pm matrix def +/_fm null def +/_fd null def +/_fdd null def +/_sm null def +/_sd null def +/_sdd null def +/_i null def +/_lobyte 0 def +/_hibyte 0 def +/_cproc null def +/_cscript 0 def +/_hvax 0 def +/_hvay 0 def +/_hvwb 0 def +/_hvcx 0 def +/_hvcy 0 def +/_bitfont null def +/_bitlobyte 0 def +/_bithibyte 0 def +/_bitkey null def +/_bitdata null def +/_bitindex 0 def +/discardSave null def +/buffer 256 string def +/beginString null def +/endString null def +/endStringLength null def +/layerCnt 1 def +/layerCount 1 def +/perCent (%) 0 get def +/perCentSeen? false def +/newBuff null def +/newBuffButFirst null def +/newBuffLast null def +/clipForward? false def +end +userdict /Adobe_Illustrator_AI5 known not { + userdict /Adobe_Illustrator_AI5 100 dict put +} if +userdict /Adobe_Illustrator_AI5 get begin +/initialize +{ + Adobe_Illustrator_AI5 dup begin + Adobe_Illustrator_AI5_vars begin + /_aicmykps where {pop /_?cmyk _aicmykps def}if + discardDict + { + bind pop pop + } forall + dup /nc get begin + { + dup xcheck 1 index type /operatortype ne and + { + bind + } if + pop pop + } forall + end + newpath +} def +/terminate +{ + end + end +} def +/_ +null def +/ddef +{ + Adobe_Illustrator_AI5_vars 3 1 roll put +} def +/xput +{ + dup load dup length exch maxlength eq + { + dup dup load dup + length 2 mul dict copy def + } if + load begin + def + end +} def +/npop +{ + { + pop + } repeat +} def +/hswj +{ + dup stringwidth 3 2 roll + { + _hvwb eq { exch _hvcx add exch _hvcy add } if + exch _hvax add exch _hvay add + } cforall +} def +/vswj +{ + 0 0 3 -1 roll + { + dup 255 le + _charorientation 1 eq + and + { + dup cstring stringwidth 5 2 roll + _hvwb eq { exch _hvcy sub exch _hvcx sub } if + exch _hvay sub exch _hvax sub + 4 -1 roll sub exch + 3 -1 roll sub exch + } + { + _hvwb eq { exch _hvcy sub exch _hvcx sub } if + exch _hvay sub exch _hvax sub + _fontHeight sub + } ifelse + } cforall +} def +/swj +{ + 6 1 roll + /_hvay exch ddef + /_hvax exch ddef + /_hvwb exch ddef + /_hvcy exch ddef + /_hvcx exch ddef + _lineorientation 0 eq { hswj } { vswj } ifelse +} def +/sw +{ + 0 0 0 6 3 roll swj +} def +/vjss +{ + 4 1 roll + { + dup cstring + dup length 1 eq + _charorientation 1 eq + and + { + -90 rotate + currentpoint + _fontRotateAdjust add + moveto + gsave + false charpath currentpoint + 5 index setmatrix stroke + grestore + _fontRotateAdjust sub + moveto + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + 90 rotate + } + { + currentpoint + _fontHeight sub + 5 index sub + 3 index _sp eq + { + 9 index sub + } if + + currentpoint + exch 4 index stringwidth pop 2 div sub + exch _fontAscent sub + moveto + + gsave + 2 index false charpath + 6 index setmatrix stroke + grestore + + moveto pop pop + } ifelse + } cforall + 6 npop +} def +/hjss +{ + 4 1 roll + { + dup cstring + gsave + false charpath currentpoint + 5 index setmatrix stroke + grestore + moveto + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + } cforall + 6 npop +} def +/jss +{ + _lineorientation 0 eq { hjss } { vjss } ifelse +} def +/ss +{ + 0 0 0 7 3 roll jss +} def +/vjsp +{ + 4 1 roll + { + dup cstring + dup length 1 eq + _charorientation 1 eq + and + { + -90 rotate + currentpoint + _fontRotateAdjust add + moveto + false charpath + currentpoint + _fontRotateAdjust sub + moveto + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + 90 rotate + } + { + currentpoint + _fontHeight sub + 5 index sub + 3 index _sp eq + { + 9 index sub + } if + + currentpoint + exch 4 index stringwidth pop 2 div sub + exch _fontAscent sub + moveto + + 2 index false charpath + + moveto pop pop + } ifelse + } cforall + 6 npop +} def +/hjsp +{ + 4 1 roll + { + dup cstring + false charpath + _sp eq + { + 5 index 5 index rmoveto + } if + 2 copy rmoveto + } cforall + 6 npop +} def +/jsp +{ + matrix currentmatrix + _lineorientation 0 eq {hjsp} {vjsp} ifelse +} def +/sp +{ + matrix currentmatrix + 0 0 0 7 3 roll + _lineorientation 0 eq {hjsp} {vjsp} ifelse +} def +/pl +{ + transform + 0.25 sub round 0.25 add exch + 0.25 sub round 0.25 add exch + itransform +} def +/setstrokeadjust where +{ + pop true setstrokeadjust + /c + { + curveto + } def + /C + /c load def + /v + { + currentpoint 6 2 roll curveto + } def + /V + /v load def + /y + { + 2 copy curveto + } def + /Y + /y load def + /l + { + lineto + } def + /L + /l load def + /m + { + moveto + } def +} +{ + /c + { + pl curveto + } def + /C + /c load def + /v + { + currentpoint 6 2 roll pl curveto + } def + /V + /v load def + /y + { + pl 2 copy curveto + } def + /Y + /y load def + /l + { + pl lineto + } def + /L + /l load def + /m + { + pl moveto + } def +} ifelse +/d +{ + setdash +} def +/cf +{ +} def +/i +{ + dup 0 eq + { + pop cf + } if + setflat +} def +/j +{ + setlinejoin +} def +/J +{ + setlinecap +} def +/M +{ + setmiterlimit +} def +/w +{ + setlinewidth +} def +/XR +{ + 0 ne + /_eo exch ddef +} def +/H +{ +} def +/h +{ + closepath +} def +/N +{ + _pola 0 eq + { + _doClip 1 eq + { + _eo {eoclip} {clip} ifelse /_doClip 0 ddef + } if + newpath + } + { + /CRender + { + N + } ddef + } ifelse +} def +/n +{ + N +} def +/F +{ + _pola 0 eq + { + _doClip 1 eq + { + gsave _pf grestore _eo {eoclip} {clip} ifelse newpath /_lp /none ddef _fc + /_doClip 0 ddef + } + { + _pf + } ifelse + } + { + /CRender + { + F + } ddef + } ifelse +} def +/f +{ + closepath + F +} def +/S +{ + _pola 0 eq + { + _doClip 1 eq + { + gsave _ps grestore _eo {eoclip} {clip} ifelse newpath /_lp /none ddef _sc + /_doClip 0 ddef + } + { + _ps + } ifelse + } + { + /CRender + { + S + } ddef + } ifelse +} def +/s +{ + closepath + S +} def +/B +{ + _pola 0 eq + { + _doClip 1 eq + gsave F grestore + { + gsave S grestore _eo {eoclip} {clip} ifelse newpath /_lp /none ddef _sc + /_doClip 0 ddef + } + { + S + } ifelse + } + { + /CRender + { + B + } ddef + } ifelse +} def +/b +{ + closepath + B +} def +/W +{ + /_doClip 1 ddef +} def +/* +{ + count 0 ne + { + dup type /stringtype eq + { + pop + } if + } if + newpath +} def +/u +{ +} def +/U +{ +} def +/q +{ + _pola 0 eq + { + gsave + } if +} def +/Q +{ + _pola 0 eq + { + grestore + } if +} def +/*u +{ + _pola 1 add /_pola exch ddef +} def +/*U +{ + _pola 1 sub /_pola exch ddef + _pola 0 eq + { + CRender + } if +} def +/D +{ + pop +} def +/*w +{ +} def +/*W +{ +} def +/` +{ + /_i save ddef + clipForward? + { + nulldevice + } if + 6 1 roll 4 npop + concat pop + userdict begin + /showpage + { + } def + 0 setgray + 0 setlinecap + 1 setlinewidth + 0 setlinejoin + 10 setmiterlimit + [] 0 setdash + /setstrokeadjust where {pop false setstrokeadjust} if + newpath + 0 setgray + false setoverprint +} def +/~ +{ + end + _i restore +} def +/_rgbtocmyk +{ + 3 + { + 1 exch sub 3 1 roll + } repeat + 3 copy 1 4 1 roll + 3 + { + 3 index 2 copy gt + { + exch + } if + pop 4 1 roll + } repeat + pop pop pop + 4 1 roll + 3 + { + 3 index sub + 3 1 roll + } repeat + 4 -1 roll +} def +/setrgbfill +{ + _rgbf astore pop + /_fc + { + _lp /fill ne + { + _of setoverprint + _rgbf aload pop setrgbcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/setrgbstroke +{ + _rgbs astore pop + /_sc + { + _lp /stroke ne + { + _os setoverprint + _rgbs aload pop setrgbcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/O +{ + 0 ne + /_of exch ddef + /_lp /none ddef +} def +/R +{ + 0 ne + /_os exch ddef + /_lp /none ddef +} def +/g +{ + /_gf exch ddef + /_fc + { + _lp /fill ne + { + _of setoverprint + _gf setgray + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/G +{ + /_gs exch ddef + /_sc + { + _lp /stroke ne + { + _os setoverprint + _gs setgray + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/k +{ + _cf astore pop + /_fc + { + _lp /fill ne + { + _of setoverprint + _cf aload pop setcmykcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/K +{ + _cs astore pop + /_sc + { + _lp /stroke ne + { + _os setoverprint + _cs aload pop setcmykcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/Xa +{ + _?cmyk { + 3 npop k + }{ + setrgbfill 4 npop + } ifelse +} def +/XA +{ + _?cmyk { + 3 npop K + }{ + setrgbstroke 4 npop + } ifelse +} def +/Xs +{ + /_gf exch ddef + 5 npop + /_fc + { + _lp /fill ne + { + _of setoverprint + _gf setAIseparationgray + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/XS +{ + /_gs exch ddef + 5 npop + /_sc + { + _lp /stroke ne + { + _os setoverprint + _gs setAIseparationgray + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/Xx +{ + exch + /_gf exch ddef + 0 eq { + findcmykcustomcolor + }{ + _?cmyk {true}{/findrgbcustomcolor where{pop false}{true}ifelse}ifelse + { + 4 1 roll 3 npop + findcmykcustomcolor + }{ + 8 -4 roll 4 npop + findrgbcustomcolor + } ifelse + } ifelse + /_if exch ddef + /_fc + { + _lp /fill ne + { + _of setoverprint + _if _gf 1 exch sub setcustomcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/XX +{ + exch + /_gs exch ddef + 0 eq { + findcmykcustomcolor + }{ + _?cmyk {true}{/findrgbcustomcolor where{pop false}{true}ifelse}ifelse + { + 4 1 roll 3 npop + findcmykcustomcolor + }{ + 8 -4 roll 4 npop + findrgbcustomcolor + } ifelse + } ifelse + /_is exch ddef + /_sc + { + _lp /stroke ne + { + _os setoverprint + _is _gs 1 exch sub setcustomcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/x +{ + /_gf exch ddef + findcmykcustomcolor + /_if exch ddef + /_fc + { + _lp /fill ne + { + _of setoverprint + _if _gf 1 exch sub setcustomcolor + /_lp /fill ddef + } if + } ddef + /_pf + { + _fc + _eo {eofill} {fill} ifelse + } ddef + /_psf + { + _fc + hvashow + } ddef + /_pjsf + { + _fc + hvawidthshow + } ddef + /_lp /none ddef +} def +/X +{ + /_gs exch ddef + findcmykcustomcolor + /_is exch ddef + /_sc + { + _lp /stroke ne + { + _os setoverprint + _is _gs 1 exch sub setcustomcolor + /_lp /stroke ddef + } if + } ddef + /_ps + { + _sc + stroke + } ddef + /_pss + { + _sc + ss + } ddef + /_pjss + { + _sc + jss + } ddef + /_lp /none ddef +} def +/XK +{ + 3 -1 roll pop + 0 eq + { + 1 exch sub + 3 {dup 3 1 roll mul 5 1 roll} repeat + mul 4 1 roll + K + } + { + 1 exch sub 4 1 roll + 3 {1 exch sub 3 index mul 1 exch sub 3 1 roll} repeat + 4 -1 roll pop + XA + } ifelse +} def +/Xk +{ + 3 -1 roll pop + 0 eq + { + 1 exch sub + 3 {dup 3 1 roll mul 5 1 roll} repeat + mul 4 1 roll + k + } + { + 1 exch sub 4 1 roll + 3 {1 exch sub 3 index mul 1 exch sub 3 1 roll} repeat + 4 -1 roll pop + Xa + } ifelse +} def +/A +{ + pop +} def +/annotatepage +{ +userdict /annotatepage 2 copy known {get exec} {pop pop} ifelse +} def +/XT { + pop pop +} def +/Xt { + pop +} def +/discard +{ + save /discardSave exch store + discardDict begin + /endString exch store + gt38? + { + 2 add + } if + load + stopped + pop + end + discardSave restore +} bind def +userdict /discardDict 7 dict dup begin +put +/pre38Initialize +{ + /endStringLength endString length store + /newBuff buffer 0 endStringLength getinterval store + /newBuffButFirst newBuff 1 endStringLength 1 sub getinterval store + /newBuffLast newBuff endStringLength 1 sub 1 getinterval store +} def +/shiftBuffer +{ + newBuff 0 newBuffButFirst putinterval + newBuffLast 0 + currentfile read not + { + stop + } if + put +} def +0 +{ + pre38Initialize + mark + currentfile newBuff readstring exch pop + { + { + newBuff endString eq + { + cleartomark stop + } if + shiftBuffer + } loop + } + { + stop + } ifelse +} def +1 +{ + pre38Initialize + /beginString exch store + mark + currentfile newBuff readstring exch pop + { + { + newBuff beginString eq + { + /layerCount dup load 1 add store + } + { + newBuff endString eq + { + /layerCount dup load 1 sub store + layerCount 0 eq + { + cleartomark stop + } if + } if + } ifelse + shiftBuffer + } loop + } if +} def +2 +{ + mark + { + currentfile buffer {readline} stopped { + % assume error was due to overfilling the buffer + }{ + not + { + stop + } if + endString eq { + cleartomark stop + } if + }ifelse + } loop +} def +3 +{ + /beginString exch store + /layerCnt 1 store + mark + { + currentfile buffer {readline} stopped { + % assume error was due to overfilling the buffer + }{ + not + { + stop + } if + dup beginString eq + { + pop /layerCnt dup load 1 add store + } + { + endString eq + { + layerCnt 1 eq + { + cleartomark stop + } + { + /layerCnt dup load 1 sub store + } ifelse + } if + } ifelse + }ifelse + } loop +} def +end +userdict /clipRenderOff 15 dict dup begin +put +{ + /n /N /s /S /f /F /b /B +} +{ + { + _doClip 1 eq + { + /_doClip 0 ddef _eo {eoclip} {clip} ifelse + } if + newpath + } def +} forall +/Tr /pop load def +/Bb {} def +/BB /pop load def +/Bg {12 npop} def +/Bm {6 npop} def +/Bc /Bm load def +/Bh {4 npop} def +end +/Lb +{ + 6 npop + 7 2 roll + 5 npop + 0 eq + { + 0 eq + { + (%AI5_BeginLayer) 1 (%AI5_EndLayer--) discard + } + { + + /clipForward? true def + + /Tx /pop load def + /Tj /pop load def + + currentdict end clipRenderOff begin begin + } ifelse + } + { + 0 eq + { + save /discardSave exch store + } if + } ifelse +} bind def +/LB +{ + discardSave dup null ne + { + restore + } + { + pop + clipForward? + { + currentdict + end + end + begin + + /clipForward? false ddef + } if + } ifelse +} bind def +/Pb +{ + pop pop + 0 (%AI5_EndPalette) discard +} bind def +/Np +{ + 0 (%AI5_End_NonPrinting--) discard +} bind def +/Ln /pop load def +/Ap +/pop load def +/Ar +{ + 72 exch div + 0 dtransform dup mul exch dup mul add sqrt + dup 1 lt + { + pop 1 + } if + setflat +} def +/Mb +{ + q +} def +/Md +{ +} def +/MB +{ + Q +} def +/nc 4 dict def +nc begin +/setgray +{ + pop +} bind def +/setcmykcolor +{ + 4 npop +} bind def +/setrgbcolor +{ + 3 npop +} bind def +/setcustomcolor +{ + 2 npop +} bind def +currentdict readonly pop +end +/XP +{ + 4 npop +} bind def +/XD +{ + pop +} bind def +end +setpacking +%%EndResource +%%BeginResource: procset Adobe_cshow 2.0 8 +%%Title: (Writing System Operators) +%%Version: 2.0 8 +%%CreationDate: (1/23/89) () +%%Copyright: ((C) 1992-1996 Adobe Systems Incorporated All Rights Reserved) +currentpacking true setpacking +userdict /Adobe_cshow 14 dict dup begin put +/initialize +{ + Adobe_cshow begin + Adobe_cshow + { + dup xcheck + { + bind + } if + pop pop + } forall + end + Adobe_cshow begin +} def +/terminate +{ +currentdict Adobe_cshow eq + { + end + } if +} def +/cforall +{ + /_lobyte 0 ddef + /_hibyte 0 ddef + /_cproc exch ddef + /_cscript currentfont /FontScript known { currentfont /FontScript get } { -1 } ifelse ddef + { + /_lobyte exch ddef + _hibyte 0 eq + _cscript 1 eq + _lobyte 129 ge _lobyte 159 le and + _lobyte 224 ge _lobyte 252 le and or and + _cscript 2 eq + _lobyte 161 ge _lobyte 254 le and and + _cscript 3 eq + _lobyte 161 ge _lobyte 254 le and and + _cscript 25 eq + _lobyte 161 ge _lobyte 254 le and and + _cscript -1 eq + or or or or and + { + /_hibyte _lobyte ddef + } + { + _hibyte 256 mul _lobyte add + _cproc + /_hibyte 0 ddef + } ifelse + } forall +} def +/cstring +{ + dup 256 lt + { + (s) dup 0 4 3 roll put + } + { + dup 256 idiv exch 256 mod + (hl) dup dup 0 6 5 roll put 1 4 3 roll put + } ifelse +} def +/clength +{ + 0 exch + { 256 lt { 1 } { 2 } ifelse add } cforall +} def +/hawidthshow +{ + { + dup cstring + show + _hvax _hvay rmoveto + _hvwb eq { _hvcx _hvcy rmoveto } if + } cforall +} def +/vawidthshow +{ + { + dup 255 le + _charorientation 1 eq + and + { + -90 rotate + 0 _fontRotateAdjust rmoveto + cstring + _hvcx _hvcy _hvwb _hvax _hvay 6 -1 roll awidthshow + 0 _fontRotateAdjust neg rmoveto + 90 rotate + } + { + currentpoint + _fontHeight sub + exch _hvay sub exch _hvax sub + 2 index _hvwb eq { exch _hvcy sub exch _hvcx sub } if + 3 2 roll + cstring + dup stringwidth pop 2 div neg _fontAscent neg rmoveto + show + moveto + } ifelse + } cforall +} def +/hvawidthshow +{ + 6 1 roll + /_hvay exch ddef + /_hvax exch ddef + /_hvwb exch ddef + /_hvcy exch ddef + /_hvcx exch ddef + _lineorientation 0 eq { hawidthshow } { vawidthshow } ifelse +} def +/hvwidthshow +{ + 0 0 3 -1 roll hvawidthshow +} def +/hvashow +{ + 0 0 0 6 -3 roll hvawidthshow +} def +/hvshow +{ + 0 0 0 0 0 6 -1 roll hvawidthshow +} def +currentdict readonly pop end +setpacking +%%EndResource +%%BeginResource: procset Adobe_shading_AI8 1.0 0 +%%Title: (Adobe Illustrator 8 Shading Procset) +%%Version: 1.0 0 +%%CreationDate: (12/17/97) () +%%Copyright: ((C) 1987-1997 Adobe Systems Incorporated All Rights Reserved) +userdict /defaultpacking currentpacking put true setpacking +userdict /Adobe_shading_AI8 10 dict dup begin put +/initialize { + Adobe_shading_AI8 begin + Adobe_shading_AI8 bdprocs + Mesh /initialize get exec +} def +/terminate { + currentdict Adobe_shading_AI8 eq { + end + } if +} def +/bdprocs { + { + dup xcheck 1 index type /arraytype eq and { + bind + } if + pop pop + } forall +} def +/X! {pop} def +/X# {pop pop} def +/Mesh 40 dict def +Mesh begin +/initialize { + Mesh bdprocs + Mesh begin + /emulate? /AI8MeshEmulation where { + pop AI8MeshEmulation + }{ + systemdict /shfill known not + } ifelse def + end +} def +/bd { + shadingdict begin +} def +/paint { + emulate? { + end + }{ + /_lp /none ddef _fc /_lp /none ddef + + /AIColorSpace AIColorSpace tocolorspace store + /ColorSpace AIColorSpace topsspace store + + version_ge_3010.106 not systemdict /setsmoothness known and { + 0.0001 setsmoothness + } if + + composite? { + /DataSource getdatasrc def + Matrix concat + currentdict end + shfill + }{ + AIColorSpace makesmarks AIPlateList markingplate and not isoverprint and { + end + }{ + /ColorSpace /DeviceGray store + /Decode [0 1 0 1 0 1] store + /DataSource getplatesrc def + Matrix concat + currentdict end + shfill + } ifelse + } ifelse + } ifelse +} def +/shadingdict 12 dict def +shadingdict begin + /ShadingType 6 def + /BitsPerCoordinate 16 def + /BitsPerComponent 8 def + /BitsPerFlag 8 def +end +/datafile null def +/databuf 256 string def +/dataptr 0 def +/srcspace null def +/srcchannels 0 def +/dstchannels 0 def +/dstplate 0 def +/srctodstcolor null def +/getplatesrc { + /srcspace AIColorSpace store + /srcchannels AIColorSpace getnchannels store + /dstchannels 1 store + /dstplate getplateindex store + /srctodstcolor srcspace makesmarks { + dstplate 4 eq { + {1 exch sub} + }{ + {srcspace tocmyk 3 dstplate sub index 1 exch sub 5 1 roll 4 {pop} repeat} + } ifelse + }{ + {srcchannels {pop} repeat 1} + } ifelse store + /datafile getdatasrc store + /rdpatch168 load DataLength () /SubFileDecode filter +} def +/getdatasrc { + /rdcmntline load /ASCII85Decode filter +} def +/rdpatch168 { + /dataptr 0 store + 49 rdcount + 4 { + dup {pop srcchannels getint8} if + dup {pop srctodstcolor dstchannels putint8 true} if + } repeat + {databuf 0 dataptr getinterval}{()} ifelse +} def +/rdpatch3216 { + /dataptr 0 store + 97 rdcount + 4 { + dup {pop srcchannels getint16} if + dup {pop srctodstcolor dstchannels putint16 true} if + } repeat + {databuf 0 dataptr getinterval}{()} ifelse +} def +/rdcount { + dup 0 gt { + datafile databuf dataptr 4 -1 roll getinterval readstring + exch length dataptr add /dataptr exch store + }{ + true + } ifelse +} def +/getint8 { + mark true 3 -1 roll + { + dup {pop datafile read} if + dup {pop 255 div true} if + } repeat + { + counttomark 1 add -1 roll pop true + }{ + cleartomark false + } ifelse +} def +/putint8 { + dup dataptr add /dataptr exch store + dataptr exch + { + 1 sub exch + 255 mul cvi + databuf 2 index + 3 -1 roll put + } repeat + pop +} def +/getint16 { + mark true 3 -1 roll + { + dup {pop datafile read} if + dup {pop 256 mul datafile read} if + dup {pop add 65535 div true} if + } repeat + { + counttomark 1 add -1 roll pop true + }{ + cleartomark false + } ifelse +} def +/putint16 { + dup 2 mul dataptr add /dataptr exch store + dataptr exch + { + 2 sub exch + 65535 mul cvi dup + 256 idiv databuf 3 index 3 -1 roll put + 256 mod databuf 2 index 1 add 3 -1 roll put + } repeat + pop +} def +/srcbuf 256 string def +/rdcmntline { + currentfile srcbuf readline pop + (%) anchorsearch {pop} if +} def +/getplateindex { + 0 [cyan? magenta? yellow? black? customColor?] {{exit} if 1 add} forall +} def +/aicsarray 4 array def +/aicsaltvals 4 array def +/aicsaltcolr aicsaltvals def +/tocolorspace { + dup type /arraytype eq { + mark exch aload pop + aicsarray 0 3 -1 roll put + aicsarray 1 3 -1 roll put + dup aicsarray 2 3 -1 roll put + gettintxform aicsarray 3 3 -1 roll put + counttomark aicsaltvals 0 3 -1 roll getinterval /aicsaltcolr exch store + aicsaltcolr astore pop pop + aicsarray + } if +} def +/subtintxform {aicsaltcolr {1 index mul exch} forall pop} def +/addtintxform {aicsaltcolr {1 sub 1 index mul 1 add exch} forall pop} def +/gettintxform { + /DeviceRGB eq {/addtintxform}{/subtintxform} ifelse load +} def +/getnchannels { + dup type /arraytype eq {0 get} if + colorspacedict exch get begin Channels end +} def +/makesmarks { + composite? { + pop true + }{ + dup dup type /arraytype eq {0 get} if + colorspacedict exch get begin MarksPlate end + } ifelse +} def +/markingplate { + composite? { + pop true + }{ + dup type /arraytype eq { + dup length getplateindex gt {getplateindex get}{pop false} ifelse + } if + } ifelse +} def +/tocmyk { + dup dup type /arraytype eq {0 get} if + colorspacedict exch get begin ToCMYK end +} def +/topsspace { + dup dup type /arraytype eq {0 get} if + colorspacedict exch get begin ToPSSpace end +} def +/colorspacedict 5 dict dup begin + /DeviceGray 4 dict dup begin + /Channels 1 def + /MarksPlate {pop black?} def + /ToCMYK {pop 1 exch sub 0 0 0 4 -1 roll} def + /ToPSSpace {} def + end def + /DeviceRGB 4 dict dup begin + /Channels 3 def + /MarksPlate {pop isCMYKSep?} def + /ToCMYK {pop _rgbtocmyk} def + /ToPSSpace {} def + end def + /DeviceCMYK 4 dict dup begin + /Channels 4 def + /MarksPlate {pop isCMYKSep?} def + /ToCMYK {pop} def + /ToPSSpace {} def + end def + /Separation 4 dict dup begin + /Channels 1 def + /MarksPlate { + /findcmykcustomcolor where { + pop dup 1 exch ToCMYK 5 -1 roll 1 get + findcmykcustomcolor 1 setcustomcolor + systemdict /currentgray get exec + 1 ne + }{ + pop false + } ifelse + } def + /ToCMYK { + dup 2 get mark exch 4 2 roll + 3 get exec + counttomark -1 roll tocmyk + 5 -1 roll pop + } def + /ToPSSpace {} def + end def + /Process 4 dict dup begin + /Channels 1 def + /MarksPlate { + isCMYKSep? { + 1 exch ToCMYK 4 array astore getplateindex get 0 ne + }{ + pop false + } ifelse + } def + /ToCMYK { + dup 2 get mark exch 4 2 roll + 3 get exec + counttomark -1 roll tocmyk + 5 -1 roll pop + } def + /ToPSSpace { + 4 array copy dup 0 /Separation put + } def + end def +end def +/isoverprint { + /currentoverprint where {pop currentoverprint}{_of} ifelse +} def +/version_ge_3010.106 { + version {cvr} stopped { + pop + false + }{ + 3010.106 ge + } ifelse +} def +end +end +defaultpacking setpacking +%%EndResource +%%EndProlog %%BeginSetup userdict /_useSmoothShade false put userdict /_aicmykps true put userdict /_forceToCMYK true put Adobe_level2_AI5 /initialize get exec +Adobe_cshow 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476.5 292 L S 440.5 283 m 440.5 256 L S U U } if %AI3_EndCrops %%PageTrailer gsave annotatepage grestore showpage %%Trailer Adobe_Illustrator_AI5 /terminate get exec +Adobe_shading_AI8 /terminate get exec +Adobe_ColorImage_AI6 /terminate get exec +Adobe_cshow /terminate get exec +Adobe_level2_AI5 /terminate get exec +%%EOF \ No newline at end of file diff --git a/paper/iacrtrans-tches/iacrtrans/CC-by.pdf b/paper/iacrtrans-tches/iacrtrans/CC-by.pdf new file mode 100644 index 0000000..7b790d0 Binary files /dev/null and b/paper/iacrtrans-tches/iacrtrans/CC-by.pdf differ diff --git a/paper/iacrtrans-tches/iacrtrans/COPYING b/paper/iacrtrans-tches/iacrtrans/COPYING new file mode 100644 index 0000000..0e259d4 --- /dev/null +++ b/paper/iacrtrans-tches/iacrtrans/COPYING @@ -0,0 +1,121 @@ +Creative Commons Legal Code + +CC0 1.0 Universal + + CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE + LEGAL SERVICES. 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Affirmer understands and acknowledges that Creative Commons is not a + party to this document and has no duty or obligation with respect to + this CC0 or use of the Work. diff --git a/paper/iacrtrans-tches/iacrtrans/iacrdoc.pdf b/paper/iacrtrans-tches/iacrtrans/iacrdoc.pdf new file mode 100644 index 0000000..fda518b Binary files /dev/null and b/paper/iacrtrans-tches/iacrtrans/iacrdoc.pdf differ diff --git a/paper/iacrtrans-tches/iacrtrans/iacrdoc.tex b/paper/iacrtrans-tches/iacrtrans/iacrdoc.tex new file mode 100644 index 0000000..daba3ee --- /dev/null +++ b/paper/iacrtrans-tches/iacrtrans/iacrdoc.tex @@ -0,0 +1,371 @@ +% IACR Transactions CLASS DOCUMENTATION -- version 0.24 (26 August 2016) +% Written by Gaetan Leurent gaetan.leurent@inria.fr (2016) +% +% To the extent possible under law, the author(s) have dedicated all +% copyright and related and neighboring rights to this software to the +% public domain worldwide. This software is distributed without any +% warranty. +% +% You should have received a copy of the CC0 Public Domain Dedication +% along with this software. If not, see +% . + +\documentclass[preprint]{iacrtrans} +\usepackage[utf8]{inputenc} + +\author{Gaëtan Leurent\inst{1} \and Alice\inst{2} \and Bob\inst{2}} +\institute{Inria, France, \email{gaetan.leurent@inria.fr} \and ACME} +\title[\texttt{iacrtans} class documentation]{\publname} +\subtitle{\LaTeX{} Class Documentation (v. 0.24)} + +\begin{document} + +\maketitle + +% use optional argument because the \LaTeX command breaks the PDF keywords +\keywords[\publname, TCHES, LaTeX]{\publname \and TCHES \and \LaTeX} + +\begin{abstract} + This document is a quick introduction to the \LaTeX{} class for the + \publname{}. +\end{abstract} + +\section*{Introduction} + +The \texttt{iacrtans} \LaTeX{} class will be used by the new +``\publname'' journal. The class is based on standard \LaTeX{} +classes and packages (mainly the \texttt{article} class with +\texttt{amsmath}), and should be similar in use to the \texttt{llncs} +class used for Springer's proceedings. The \LaTeX{} source of this +documentation is meant as an example to show basic usage of the class. + +Since we are now preparing the zero-th issue of the journal, the class +is still in development and feedback and comments are welcome. + +\subsection*{\textcolor{red!70!black}{FAQ:} Converting \texttt{llncs} papers to \texttt{iacrtrans}} + +If you have a paper typeset with the \texttt{llncs} class, conversion +should be relatively easy. The following steps should be sufficient +in most cases (for the submission version): +\begin{enumerate} +\item Replace \verb+\documentclass{llncs}+ with\\ \verb+\documentclass[submission,spthm]{iacrtrans}+; +\item Replace \verb+\bibliographystyle{splncs03}+ with + \verb+\bibliographystyle{alpha}+; +\item Add a \verb+\keywords{}+ command before the abstract, with + keywords separated by \verb+\and+; +\item Remove commands that might override the class style, such as + \verb+\pagestyle{...}+ or \verb+\thispagestyle{...}+, + change of margins (\emph{e.g.} with the \texttt{geometry} package), + change of fonts, .... +\item See also \autoref{sec:biblio} for information about how to + typeset the bibliography. +\end{enumerate} + +\section{Main Commands} + +\subsection{Title page} + +The following commands are used to input informations for the title page. + +\paragraph{\texttt{\textbackslash title}} to define the title. + +A shorter running title can be given as optional argument. + +\paragraph{\texttt{\textbackslash subtitle}} to give an optional +subtitle. + +\paragraph{\texttt{\textbackslash author}} to define the author list. + +Author names must be delimited by \verb+\and+ macros. If there is one +different affiliation for each author, authors and affiliations will be +numbered automatically. Otherwise, each author name must be followed by +\verb+\inst{...}+ with the corresponding affiliation(s). + +A shorter list of authors for the running head can be given as +optional argument. + +\paragraph{\texttt{\textbackslash institute}} to give author's affiliation(s). + +If there are several affiliations, they must be separated by +\verb+\and+ macros, and will be numbered automatically. + +\paragraph{\texttt{\textbackslash keywords}} to give a list of +keywords. + +Individual keywords should be separated by the \verb+\and+ macro. + +If there are fragile commands in the keywords, use the optional argument +to give a text-only version of the keywords; this will be used for the +PDF meta-data. + +\paragraph{\texttt{\textbackslash email}} should be used inside the +\verb+\institute+ argument to typeset author's email address(es). An +optional argument can be given for the hyperlink, if different from the +displayed email. For instance, you can group emails as follows:\\ +\verb+\email[alice@foo.com,bob@bob.com]{{alice,bob}@foo.com}+ + +\paragraph{\texttt{\textbackslash thanks}} +can be used inside the \verb+\title+, +\verb+\author+ or \verb+\institute+ argument to generate a footnote with additional +information, if needed. + +\paragraph{\texttt{\textbackslash maketitle}} is used to actually +typeset the title. + +\paragraph{The \texttt{abstract} environment} should be used to typeset the abstract. + +Note that the keywords should be given before starting the abstract environment. + + +\subsection{Theorems} + +The \texttt{iacrtrans} class uses the \AmS{} packages to typeset +math. In particular, it loads the \texttt{amsthm} package, and +predefines the following environments: +\begin{center} + \ttfamily +\begin{tabular}{l@{\hspace{1cm}}l@{\hspace{1cm}}l} +theorem & definition & remark \\ +proposition & example & note \\ +problem & exercise & case \\ +lemma & property & \\ +conjecture & question & \\ +corollary & solution & \\ +claim & & \\ +\end{tabular} +\end{center} + +Note that the \texttt{proof} environment automatically adds a QED +symbol at the end of the proof (unless you give option +\texttt{[spthm]} to the \texttt{iacrtrans} class). If the QED symbol +is typeset at a wrong position, you can force its position with +\verb+\qedhere+. + +\section{Class options} +\label{sec:options} + +\subsection{Publication type} + +The class supports four publication types, selected with the +following class options: + +\begin{description} +\item[\texttt{[final]}] for final papers (default mode) +\item[\texttt{[preprint]}] for preprints (without copyright info) +\item[\texttt{[submission]}] for submissions (anonymous, with line numbers) +\item[\texttt{[draft]}] is similar to preprint, but activates draft + mode for the underlying \texttt{article} class (which shows overfull hboxes), and other packages + (\emph{e.g.} \texttt{graphicx}, \texttt{hyperref}). +\end{description} + +\subsection{Other Options} + +\paragraph{\texttt{[spthm]}} +provides theorem environments that emulates +\texttt{llncs} class's \texttt{sptheorem}: +\begin{itemize} +\item A \texttt{\textbackslash spnewtheorem} wrapper is provided + around \AmS{} \texttt{\textbackslash newtheorem}. Note that the + styling options are ignored; you should use standard + \texttt{amsthm} commands for fine control. +\item The \AmS{} \texttt{proof} environment will not automatically add a + QED symbol at the end of the proof. +\end{itemize} + +\paragraph{\texttt{[floatrow]}} +uses the \texttt{floatrow} package to customize floats rather than the +plain \texttt{float} package. In particular, this allows to typeset +floats side by side as shown in this example: +\begin{verbatim} +\documentclass[floatrow]{iacrtrans} +\usepackage[demo]{graphicx} +\begin{document} + +\begin{figure} + \begin{floatrow} + \ffigbox{\includegraphics[width=0.4\textwidth]{1.png}} + {\caption{This is caption 1.}} + \ffigbox{\includegraphics[width=0.4\textwidth]{2.png}} + {\caption{This is caption 2.}} + \end{floatrow} +\end{figure} + +\end{document} +\end{verbatim} + +The row will be divided equally according to the number of figures, but +you can ask each figure to take its natural space instead with +\verb+\ffigbox[\FBwidth]+. For more advanced use, see the +\texttt{floatrow} documentation. + + +\paragraph{\texttt{[nohyperref]}} +disables the automatic loading of +\texttt{hyperref}. Use this is if your document fails to compile with +\texttt{hyperref} for some reason. + +The \texttt{iacrtrans} class automatically loads \texttt{hyperref} +after all other packages. If you need some packages to be loaded +\emph{after} \texttt{hyperref}, you should load \texttt{hyperref} +explicitly at the correct position, but not use the \texttt{[nohyperref]} option. + +\section{Typesetting the Bibliography} +\label{sec:biblio} + +% Borrowed from btxdoc.tex +\def\BibTeX{{\rm B\kern-.05em{\sc i\kern-.025em b}\kern-.08em + T\kern-.1667em\lower.7ex\hbox{E}\kern-.125emX}} + +Having good bibliographic references is very important for the +visibility of the journal. Since we don't have a commercial editor, +authors need to make sure themselves that references are standardized +and clean. We strongly encourage authors to use \BibTeX{} for the +bibliograpy, using bibliographic data +from \url{http://www.dblp.org} or \url{https://cryptobib.di.ens.fr/}. + +We are still working on a good solution for the bibliography, and we +expect to have more specific instructions when producing the final +version of the papers, including a dedicated \BibTeX{} style. + + +\section{Further instructions} + +\paragraph{\LaTeX{} distribution, and worklow.} \LaTeX{} +distributions are available on a variaty of platforms. In particular, +we recommand the \href{https://www.tug.org/texlive/}{TeX Live} +distribution, which is updated regularly, include a large number of +packages, and is available on many platforms. +\begin{description} +\item[Linux:] A LaTeX installation is included in most Linux + distributions. Alternatively, + \href{https://www.tug.org/texlive/}{TeX Live} can be installed + easily without root access. +\item[Windows:] There are also good \LaTeX{} distributions for Windows, + such as \href{http://www.miktex.org/}{MikTeX} and + \href{https://www.tug.org/texlive/}{TeX Live}. +\item[MacOSX:] On MacOSX, TeX Live is available inside + \href{http://www.tug.org/mactex/}{MacTeX}. +\end{description} + + +We recommand the use of \texttt{pdflatex} because it generally +supports more features than \texttt{latex} and \texttt{dvips} +(\texttt{xelatex} and \texttt{lualatex} are also missing some advanced +features from \texttt{pdflatex}). + +\paragraph{Internal references.} + +We recommend the use of \verb+\autoref+ from \texttt{hyperref} +(automatically loaded by the class). For instance, +\verb+\autoref{sec:options}+ links to \autoref{sec:options}. + +\paragraph{Pictures.} + +We recommend the use of the \texttt{tikz} package to render pictures. + +In particular, a large variety of crypto pictures made with +\texttt{tikz} is available at \url{http://www.iacr.org/authors/tikz/}. + +\paragraph{External pictures.} The \texttt{graphicx} is loaded by the +class, and is recommended for external figures. + +If possible, external figures should be in a vector format: you can +use PDF files when compiling with \texttt{pdflatex}, and EPS files +when compiling with \texttt{latex}, and \texttt{dvips}. Note that the +\verb+\includegraphics+ command will automatically select a file with +the right extension, so if you write \verb+\includegraphics{figure}+ +and have two files \texttt{figure.pdf} and \texttt{figure.eps}, it +should work with both workflow. + +\paragraph{Floats.} + +Figure captions should be below the figures, and table captions above +the tables. The \texttt{float} package loaded by the class should +take care of this automatically. If want to have several figures side +by side, see the \texttt{[floatrow]} option. + +\paragraph{Tables.} + +We recommend the \texttt{booktabs} package to typeset tables. + +\paragraph{Algorithms.} + +We recommend the \texttt{algorithm}, \texttt{algorithmcx} packages for +algorithms (in particular, \texttt{algpseudocode} for pseudo-code). + + +\section{For the Editor} + +The following commands should be used by the editor to prepare the final +version: + +\paragraph{\texttt{\textbackslash setfirstpage}} to set the first page number. + +\paragraph{\texttt{\textbackslash setlastpage}} to set the first page +number (optional). + +\paragraph{\texttt{\textbackslash setvolume}} to set the volume number. + +\paragraph{\texttt{\textbackslash setnumber}} to set the edition number. + +\paragraph{\texttt{\textbackslash setDOI}} to set the DOI. + + +\section{Further information} + +More general information can be found in the following documents: +\begin{itemize} +\item General \LaTeX{} documentation, such as the + \href{http://mirrors.ctan.org/info/lshort/english/lshort.pdf}{(not + so) short introduction to \LaTeXe}; +% \item The \texttt{article} class +% \href{http://mirrors.ctan.org/macros/latex/doc/clsguide.pdf}{documentation}; +\item The \AmS-\LaTeX{} + \href{http://mirrors.ctan.org/macros/latex/required/amslatex/math/amsldoc.pdf}{documentation} + and \texttt{amsthm} \href{ftp://ftp.ams.org/pub/tex/doc/amscls/amsthdoc.pdf}{documentation}; +\item Documentation of the \LaTeX{} packages used in the class (see below). +\end{itemize} + +\subsection{Packages used} + +The class is based on the standard \texttt{article} class, and loads +the following packages: +\begin{itemize} +\item \texttt{geometry}, \texttt{secsty}, \texttt{fancyhdr}, \texttt{mathtools}, + \texttt{float}, \texttt{microtype}, \texttt{lastpage} +\item \texttt{amsmath}, \texttt{amssymb}, \texttt{amsthm} +\item \texttt{graphicx} +\item \texttt{hyperref}, \texttt{hyperxmp}, \texttt{etoolbox}, \texttt{xcolor} (unless + the \texttt{[nohyperref]} option is used) +\item \texttt{lineno} (in \texttt{[submission]} mode) +\item \texttt{floatrow,caption} (with option \texttt{[floatrow]}) +\end{itemize} + +\section*{Thanks} + +We would like to thank people who helped design and improve the +class: +Anne Canteaut, +Jérémy Jean, +Bart Preneel, +Christian Rechberger, +Tyge Tiessen, +Friedrich Wiemer. + +\section*{Changes} + +\begin{description} +\item[v 0.21] First public version +\item[v 0.22] Added documentations. Minor tweaks in the class. +\item[v 0.23] More documentation. Removed some extra line-numbers + with AMS environments in submission mode. Make \verb+autoref+ + capitalize sections. Table caption are now above tables. Rewritten + running authors and running title. Added PDF info (title, author, + keyword). Optional argument for \verb+\email+. Added + \texttt{floatrow} option. +\item[v 0.24] Added CC licence text, and added XMP metadata. Fixed some + metadata transformations. +\end{description} + + +\end{document} diff --git a/paper/iacrtrans-tches/iacrtrans/iacrtrans.cls b/paper/iacrtrans-tches/iacrtrans/iacrtrans.cls new file mode 100644 index 0000000..bf42a75 --- /dev/null +++ b/paper/iacrtrans-tches/iacrtrans/iacrtrans.cls @@ -0,0 +1,448 @@ +% IACR Transactions DOCUMENT CLASS -- version 0.24 (26 August 2016) +% Written by Gaetan Leurent gaetan.leurent@inria.fr (2016) +% +% To the extent possible under law, the author(s) have dedicated all +% copyright and related and neighboring rights to this software to the +% public domain worldwide. This software is distributed without any +% warranty. +% +% You should have received a copy of the CC0 Public Domain Dedication +% along with this software. If not, see +% . +% +% +%%% Class options: +% +% [preprint] Preprint (no copyright info) +% [submission] Anonymous submission +% [spthm] Emulate llncs sptheorem and remove automatic \qed in proof +% [nohyperref] Disable automatic loading of hyperref +% [draft] +% +%%% HOWTO use this class +% +%% Title +% \title[short]{Long title} +% +%% Authors/affiliation: +% \author{Alice \and Bob} +% \institute{ABC\\ \email{alice@abc} \and DEF\\ \email{bob@def}} +% +%% Keywords/abstract: +% \keywords{banana \and apple} +% \begin{abstract} +% Lorem ipsum dolor sit amet... +% \end{abstract} +% +%% Warnings +% - please don't use any \pagestyle of \thispagestyle command +% - if you have proof with explicit \qed inside, you should either +% remove \qed symbols, replace them by \qedhere, or add option [spthm] + +\NeedsTeXFormat{LaTeX2e}[1995/12/01] +\ProvidesClass{iacrtrans}[2016/08/26 v0.24 IACR Transactions Author Class] + +% Common definitions +\def\publname{IACR Transactions on Cryptographic Hardware and Embedded Systems} +\def\IACR@vol{0} +\def\IACR@no{0} +\def\IACR@fp{1} +\def\IACR@DOI{XXXXXXXX} +\usepackage{lastpage} +\def\IACR@lp{\pageref*{LastPage}} + +\newcommand{\setfirstpage}[1]{\def\IACR@fp{#1}\setcounter{page}{#1}} +\newcommand{\setlastpage}[1]{\def\IACR@lp{#1}} +\newcommand{\setvolume}[1]{\def\IACR@vol{#1}} +\newcommand{\setnumber}[1]{\def\IACR@no{#1}} +\newcommand{\setDOI}[1]{\def\IACR@DOI{#1}} + +% Options +\newif\if@loadhr +\@loadhrtrue +\DeclareOption{nohyperref}{\@loadhrfalse} +\newif\if@floatrow +\@floatrowfalse +\DeclareOption{floatrow}{\@floatrowtrue} +\newif\if@submission +\@submissionfalse +\newif\if@preprint +\@preprintfalse +\DeclareOption{final}{\PassOptionsToClass{\CurrentOption}{article}} % Default +\DeclareOption{preprint}{\@preprinttrue} +\DeclareOption{submission}{\@submissiontrue} +\DeclareOption{draft}{\@preprinttrue\PassOptionsToClass{\CurrentOption}{article}} +\newif\if@spthm +\@spthmfalse +\DeclareOption{spthm}{\@spthmtrue} + +\DeclareOption*{\PassOptionsToClass{\CurrentOption}{article}} +\ProcessOptions\relax + +% article class with a4paper +\LoadClass[10pt,twoside]{article}[2007/10/19] + +% Geometry +\RequirePackage[a4paper,hscale=0.65,vscale=0.75,marginratio=1:1]{geometry} + +% Title fonts: bf+sf +\RequirePackage{sectsty} +\allsectionsfont{\sffamily\boldmath} +% Also for descrptions +\renewcommand*\descriptionlabel[1]{\hspace\labelsep + \normalfont\bfseries\sffamily #1} + + +% Title/Author/affiliations +\def\@institute{No institute given.} +\newcommand{\institute}[1]{\gdef\@institute{#1}} +\newcommand{\authorrunning}[1]{\gdef\IACR@runningauthors{#1}} +\newcommand{\titlerunning}[1]{\gdef\IACR@runningtitle{#1}} + +\newcounter{IACR@author@cnt} +\newcounter{IACR@inst@cnt} +\newif\if@IACR@autoinst +\@IACR@autoinsttrue +\def\IACR@author@last{0} + +\renewcommand\maketitle{\par + \begingroup + \renewcommand\thefootnote{\@fnsymbol\c@footnote}% + \long\def\@makefntext##1{\parindent 1em\noindent + \hb@xt@1.8em{% + \hss\@textsuperscript{\normalfont\@thefnmark}}##1}% + \newpage + \global\@topnum\z@ % Prevents figures from going at top of page. + \@maketitle + \thispagestyle{title}\@thanks + \endgroup + \setcounter{footnote}{0}% + \global\let\thanks\relax + \global\let\maketitle\relax + \global\let\@maketitle\relax + \global\let\@thanks\@empty +% \global\let\@author\@empty + \global\let\@date\@empty +% \global\let\@title\@empty + \global\let\title\relax + \global\let\author\relax + \global\let\date\relax + \global\let\and\relax +} +\def\@maketitle{% + % Count authors and affiliations + \setcounter{IACR@author@cnt}{1}% + \setcounter{IACR@inst@cnt}{1}% + \setbox0\hbox{\def\thanks##1{\global\@IACR@autoinstfalse}\def\inst##1{\global\@IACR@autoinstfalse}\def\and{\stepcounter{IACR@author@cnt}}\@author}% + \setbox0\hbox{\def\and{\stepcounter{IACR@inst@cnt}}\@institute}% + \xdef\IACR@author@last{\theIACR@author@cnt}% + \edef\IACR@inst@last{\theIACR@inst@cnt}% + \ifnum\IACR@author@last=\IACR@inst@last\else\@IACR@autoinstfalse\fi + \ifnum\IACR@author@last=1 \@IACR@autoinstfalse\fi + \newpage + \null + \vskip 2em% + \begin{center}% + \let \footnote \thanks + {\def\@makefnmark{\rlap{\@textsuperscript{\normalfont\@thefnmark}}}% + {\LARGE \bfseries\sffamily\boldmath \@title\par} + \ifdefined\@subtitle\vskip .5em{\large\sffamily\bfseries\@subtitle\par}\fi}% + \vskip 1.5em% + {\large + \lineskip .5em% + \if@submission + Anonymous Submission + \else + \setcounter{IACR@author@cnt}{1}% + \def\and{\if@IACR@autoinst\inst{\theIACR@author@cnt} \fi + \stepcounter{IACR@author@cnt}% + \ifnum\theIACR@author@cnt=\IACR@author@last\unskip\space and \ignorespaces\else\unskip, \ignorespaces\fi} + \@author\if@IACR@autoinst\inst{\theIACR@author@cnt}\fi + \vskip 1em\par + \small + \setcounter{IACR@author@cnt}{1}% + \def\and{\par\stepcounter{IACR@author@cnt}$^\theIACR@author@cnt$~} + \ifnum\IACR@inst@last>1 $^1$~\fi + \@institute + \fi + }% + \end{center}% + \par + \vskip 1.5em} + +\def\IACR@runningauthors{ + \def\thanks##1{}% + \def\inst##1{}% + \def\fnmsep{}% + \def\\{}% + \def\footnote##1{}% + \setcounter{IACR@author@cnt}{1}% + \def\and{\stepcounter{IACR@author@cnt}% + \ifnum\theIACR@author@cnt=\IACR@author@last\unskip\space and \ignorespaces\else\unskip, \ignorespaces\fi} + \@author} + +\def\IACR@runningtitle{% + \def\thanks##1{}% + \def\fnmsep{}% + \def\\{}% + \def\footnote##1{}% + \@title} + +\def\author{\@ifnextchar[{\IACR@@@author}{\IACR@@author}} +\def\IACR@@@author[#1]#2{\authorrunning{#1}\gdef\@author{#2}} +\def\IACR@@author#1{\gdef\@author{#1}} + +\if@submission +\gdef\@author{Anonymous Submission to \publname} +\renewcommand{\author}[2][]{} +\renewcommand{\authorrunning}[1]{} +\renewcommand{\institute}[2][]{} +\fi + + +\def\title{\@ifnextchar[{\IACR@@@title}{\IACR@@title}} +\def\IACR@@@title[#1]#2{\gdef\@title{#2}\titlerunning{#1}} +\def\IACR@@title#1{\gdef\@title{#1}} + +\newcommand{\subtitle}[1]{\gdef\@subtitle{#1}} + +\newcommand{\inst}[1]{\unskip$^{#1}$} +\def\fnmsep{\unskip$^,$} + + +% Head/foot +\RequirePackage{fancyhdr} +\RequirePackage{graphicx} +\fancypagestyle{title}{% +\fancyhf{} % clear all header and footer fields +\if@submission\else\if@preprint\else +\fancyfoot[L]{\small Licensed under \href{http://creativecommons.org/licenses/by/4.0/}{Creative Commons License CC-BY 4.0.}\\ +\publname{} Vol.~\IACR@vol, No.\IACR@no, pp.\IACR@fp---\IACR@lp, \href{https://doi.org/\IACR@DOI}{DOI:\IACR@DOI}} +\fancyfoot[R]{\includegraphics[height=2ex]{CC-by}} +\if@loadhr + \hypersetup{pdfcopyright={Licensed under Creative Commons License CC-BY 4.0.}} + \hypersetup{pdflicenseurl={http://creativecommons.org/licenses/by/4.0/}} + \hypersetup{pdfsubject={IACR Transactions on Symmetric Cryptology}} + \hypersetup{pdflang=en} +\fi +\fi\fi +\renewcommand{\headrulewidth}{0pt} +\renewcommand{\footrulewidth}{0pt}} +\fancyhf{} % clear all header and footer fields +\fancyhead[RO,LE]{\thepage} +\fancyhead[RE]{\IACR@runningtitle} +\fancyhead[LO]{\IACR@runningauthors} +\renewcommand{\markboth}[2]{} +\pagestyle{fancy} + +\def\subtitle#1{\gdef\@subtitle{#1}} + +%Abstract style, keywords +\def\@IACR@keywords{No keywords given.} + +\def\keywords{\@ifnextchar[{\IACR@@@keywords}{\IACR@@keywords}} +\def\IACR@@@keywords[#1]#2{\gdef\@IACR@PDFkeywords{#1}\gdef\@IACR@keywords{#2}} +\def\IACR@@keywords#1{\gdef\@IACR@keywords{#1}} + +\renewenvironment{abstract}{% + \small\quotation\setlength{\parindent}{0pt}\noindent + \textbf{\textsf{Abstract.}}} + {\smallskip\par\textbf{\textsf{Keywords:}} + \def\and{\unskip\space\textperiodcentered\space\ignorespaces}\@IACR@keywords + \endquotation% + \if@loadhr + %% PDF keywords + \def\and{, }% + \def\thanks##1{}% + \def\footnote##1{}% + \def\inst##1{}% + \def\fnmsep{}% + \def\\{}% + \def\zap@comma@space##1 ,##2{% + ##1% + \ifx##2\@empty\else, \expandafter\zap@comma@space\fi + ##2} + \ifdefined\@IACR@PDFkeywords + \hypersetup{pdfkeywords=\@IACR@PDFkeywords} + \else + \protected@edef\@tmp{\expandafter\@IACR@keywords} + \protected@edef\@tmp{\expandafter\zap@comma@space\@tmp{} ,\@empty} + \hypersetup{pdfkeywords=\@tmp} + \fi + %% PDF author + \def\zap@one,##1{} + \def\zap@last##1,##2{\ifx##1\@empty\else\space and ##1\expandafter\zap@one\fi} + \def\zap@last@comma##1,##2,##3{% + ##1% + \ifx##3\@empty% + \expandafter\zap@last\else + ,\expandafter\zap@last@comma\fi% + ##2,##3} + \def\zap@dbl@space##1 ##2{% + ##1% + \ifx##2\@empty\else\space\expandafter\zap@dbl@space##2\fi} + \protected@edef\@tmp{\expandafter\@author} + % \protected@edef\@tmp{\expandafter\IACR@runningauthors} + \protected@edef\@tmp{\expandafter\zap@last@comma\@tmp,\@empty,\@empty} + \protected@edef\@tmp{\expandafter\zap@comma@space\@tmp{} ,\@empty} + \protected@edef\@tmp{\expandafter\zap@dbl@space\@tmp{} \@empty} + \hypersetup{pdfauthor=\@tmp} + %% PDF title + \hypersetup{pdftitle=\IACR@runningtitle} + \fi +} + + +% Hyperref +\if@loadhr + \RequirePackage{xcolor} + \RequirePackage{etoolbox} + \AtEndPreamble{ + \@ifpackageloaded{hyperref}{}{\usepackage{hyperref}} + \@ifpackageloaded{hyperxmp}{}{\usepackage{hyperxmp}} + \hypersetup{colorlinks=true, + citecolor=black!70!green, + linkcolor=black!70!red} + } + \setcounter{tocdepth}{2} +\fi +% autoref: capitals for Sections, and adding Algorithm +\def\equationautorefname{Equation}% +\def\footnoteautorefname{footnote}% +\def\itemautorefname{item}% +\def\figureautorefname{Figure}% +\def\tableautorefname{Table}% +\def\partautorefname{Part}% +\def\appendixautorefname{Appendix}% +\def\chapterautorefname{Chapter}% +\def\sectionautorefname{Section}% +\def\subsectionautorefname{Subsection}% +\def\subsubsectionautorefname{Subsubsection}% +\def\paragraphautorefname{paragraph}% +\def\subparagraphautorefname{subparagraph}% +\def\FancyVerbLineautorefname{line}% +\def\theoremautorefname{Theorem}% +\def\pageautorefname{page}% +\def\algorithmautorefname{Algorithm} + +% AMS math +\RequirePackage{amsmath,amssymb,amsthm} +\RequirePackage{mathtools} +\theoremstyle{definition} +\newtheorem{definition}{Definition} +\newtheorem{example}{Example} +\newtheorem{exercise}{Exercise} +\newtheorem{property}{Property} +\newtheorem{question}{Question} +\newtheorem{solution}{Solution} + +\theoremstyle{plain} +\newtheorem{theorem}{Theorem} +\newtheorem{proposition}{Proposition} +\newtheorem{problem}{Problem} +\newtheorem{lemma}{Lemma} +\newtheorem{conjecture}{Conjecture} +\newtheorem{corollary}{Corollary} +\newtheorem*{claim}{Claim} + +\theoremstyle{remark} +\newtheorem{remark}{Remark} +\newtheorem{note}{Note} +\newtheorem{case}{Case} + +\theoremstyle{plain} + +%Emulate LLNCS spnewtheorem +\if@spthm +\def\spnewtheorem{\@ifstar{\IACR@spstar}{\IACR@sp}} +\def\IACR@spstar#1#2#3#4{\newtheorem*{#1}{#2}} +\def\IACR@sp#1{\@ifnextchar[{\IACR@sp@b{#1}}{\IACR@sp@a{#1}}} +\def\IACR@sp@a#1#2[#3]#4#5{\newtheorem{#1}{#2}[#3]} +\def\IACR@sp@b#1[#2]#3#4#5{\newtheorem{#1}[#2]{#3}} +\renewcommand{\pushQED}[1]{} +\fi + +% Floats and captions +\if@floatrow +\RequirePackage{floatrow} +\floatsetup[table]{style=Plaintop} +\RequirePackage{caption} +\captionsetup{labelfont={sf,bf}} +\else +\RequirePackage{float} +\newcommand\fs@iacrabove{% + % Swap \abovecaptionskip and \belowcaptionskip + \addtolength\abovecaptionskip{-\belowcaptionskip} + \addtolength\belowcaptionskip{\abovecaptionskip} + \addtolength\abovecaptionskip{-\belowcaptionskip} + \setlength\abovecaptionskip{-\abovecaptionskip} + \fs@plaintop% + \def\@fs@cfont{\sffamily\bfseries}} +\newcommand\fs@iacrbelow{% + \fs@plain% + \def\@fs@cfont{\sffamily\bfseries}} +\floatstyle{iacrabove} +\restylefloat{table} +\floatstyle{iacrbelow} +\restylefloat{figure} +\fi + +% Extra commands +\def\email{\@ifnextchar[{\IACR@@email}{\IACR@email}} +\if@loadhr +\def\IACR@@email[#1]#2{\href{mailto:#1}{\nolinkurl{#2}}} +\def\IACR@email#1{\href{mailto:#1}{\nolinkurl{#1}}} +\else +\RequirePackage{url} +\def\IACR@@email[#1]#2{\url{#2}} +\def\IACR@email#1{\url{#1}} +\fi + +% Line # for submission +\newcommand\linenomathWithnumbersforAMS{% + \ifLineNumbers +%% \ifx\@@par\@@@par\else + \ifnum\interlinepenalty>-\linenopenaltypar + \global\holdinginserts\thr@@ + \advance\interlinepenalty \linenopenalty + \ifhmode % v4.3 + \advance\predisplaypenalty \linenopenalty + \fi +%% \advance\postdisplaypenalty \linenopenalty + \advance\interdisplaylinepenalty \linenopenalty + \fi + \fi + \ignorespaces + } + +\if@submission +\RequirePackage[mathlines]{lineno} +\linenumbers +\def\linenumberfont{\normalfont\tiny\sffamily\color{gray}} + +% Taken from http://phaseportrait.blogspot.fr/2007/08/lineno-and-amsmath-compatibility.html +\newcommand*\patchAmsMathEnvironmentForLineno[1]{% + \expandafter\let\csname old#1\expandafter\endcsname\csname #1\endcsname + \expandafter\let\csname oldend#1\expandafter\endcsname\csname end#1\endcsname + \renewenvironment{#1}% + {\linenomathWithnumbersforAMS\csname old#1\endcsname}% + {\csname oldend#1\endcsname\endlinenomath}}% +\newcommand*\patchBothAmsMathEnvironmentsForLineno[1]{% + \patchAmsMathEnvironmentForLineno{#1}% + \patchAmsMathEnvironmentForLineno{#1*}}% +\AtBeginDocument{% +%\patchBothAmsMathEnvironmentsForLineno{equation}% +\patchBothAmsMathEnvironmentsForLineno{align}% +\patchBothAmsMathEnvironmentsForLineno{flalign}% +\patchBothAmsMathEnvironmentsForLineno{alignat}% +\patchBothAmsMathEnvironmentsForLineno{gather}% +\patchBothAmsMathEnvironmentsForLineno{multline}% +} +\fi + +% Microtype +\RequirePackage{microtype} + +% Fonts +\usepackage[T1]{fontenc} +\usepackage{lmodern} diff --git a/paper/iacrtrans.cls b/paper/iacrtrans.cls new file mode 100644 index 0000000..bf42a75 --- /dev/null +++ b/paper/iacrtrans.cls @@ -0,0 +1,448 @@ +% IACR Transactions DOCUMENT CLASS -- version 0.24 (26 August 2016) +% Written by Gaetan Leurent gaetan.leurent@inria.fr (2016) +% +% To the extent possible under law, the author(s) have dedicated all +% copyright and related and neighboring rights to this software to the +% public domain worldwide. This software is distributed without any +% warranty. +% +% You should have received a copy of the CC0 Public Domain Dedication +% along with this software. If not, see +% . +% +% +%%% Class options: +% +% [preprint] Preprint (no copyright info) +% [submission] Anonymous submission +% [spthm] Emulate llncs sptheorem and remove automatic \qed in proof +% [nohyperref] Disable automatic loading of hyperref +% [draft] +% +%%% HOWTO use this class +% +%% Title +% \title[short]{Long title} +% +%% Authors/affiliation: +% \author{Alice \and Bob} +% \institute{ABC\\ \email{alice@abc} \and DEF\\ \email{bob@def}} +% +%% Keywords/abstract: +% \keywords{banana \and apple} +% \begin{abstract} +% Lorem ipsum dolor sit amet... +% \end{abstract} +% +%% Warnings +% - please don't use any \pagestyle of \thispagestyle command +% - if you have proof with explicit \qed inside, you should either +% remove \qed symbols, replace them by \qedhere, or add option [spthm] + +\NeedsTeXFormat{LaTeX2e}[1995/12/01] +\ProvidesClass{iacrtrans}[2016/08/26 v0.24 IACR Transactions Author Class] + +% Common definitions +\def\publname{IACR Transactions on Cryptographic Hardware and Embedded Systems} +\def\IACR@vol{0} +\def\IACR@no{0} +\def\IACR@fp{1} +\def\IACR@DOI{XXXXXXXX} +\usepackage{lastpage} +\def\IACR@lp{\pageref*{LastPage}} + +\newcommand{\setfirstpage}[1]{\def\IACR@fp{#1}\setcounter{page}{#1}} +\newcommand{\setlastpage}[1]{\def\IACR@lp{#1}} +\newcommand{\setvolume}[1]{\def\IACR@vol{#1}} +\newcommand{\setnumber}[1]{\def\IACR@no{#1}} +\newcommand{\setDOI}[1]{\def\IACR@DOI{#1}} + +% Options +\newif\if@loadhr +\@loadhrtrue +\DeclareOption{nohyperref}{\@loadhrfalse} +\newif\if@floatrow +\@floatrowfalse +\DeclareOption{floatrow}{\@floatrowtrue} +\newif\if@submission +\@submissionfalse +\newif\if@preprint +\@preprintfalse +\DeclareOption{final}{\PassOptionsToClass{\CurrentOption}{article}} % Default +\DeclareOption{preprint}{\@preprinttrue} +\DeclareOption{submission}{\@submissiontrue} +\DeclareOption{draft}{\@preprinttrue\PassOptionsToClass{\CurrentOption}{article}} +\newif\if@spthm +\@spthmfalse +\DeclareOption{spthm}{\@spthmtrue} + +\DeclareOption*{\PassOptionsToClass{\CurrentOption}{article}} +\ProcessOptions\relax + +% article class with a4paper +\LoadClass[10pt,twoside]{article}[2007/10/19] + +% Geometry +\RequirePackage[a4paper,hscale=0.65,vscale=0.75,marginratio=1:1]{geometry} + +% Title fonts: bf+sf +\RequirePackage{sectsty} +\allsectionsfont{\sffamily\boldmath} +% Also for descrptions +\renewcommand*\descriptionlabel[1]{\hspace\labelsep + \normalfont\bfseries\sffamily #1} + + +% Title/Author/affiliations +\def\@institute{No institute given.} +\newcommand{\institute}[1]{\gdef\@institute{#1}} +\newcommand{\authorrunning}[1]{\gdef\IACR@runningauthors{#1}} +\newcommand{\titlerunning}[1]{\gdef\IACR@runningtitle{#1}} + +\newcounter{IACR@author@cnt} +\newcounter{IACR@inst@cnt} +\newif\if@IACR@autoinst +\@IACR@autoinsttrue +\def\IACR@author@last{0} + +\renewcommand\maketitle{\par + \begingroup + \renewcommand\thefootnote{\@fnsymbol\c@footnote}% + \long\def\@makefntext##1{\parindent 1em\noindent + \hb@xt@1.8em{% + \hss\@textsuperscript{\normalfont\@thefnmark}}##1}% + \newpage + \global\@topnum\z@ % Prevents figures from going at top of page. + \@maketitle + \thispagestyle{title}\@thanks + \endgroup + \setcounter{footnote}{0}% + \global\let\thanks\relax + \global\let\maketitle\relax + \global\let\@maketitle\relax + \global\let\@thanks\@empty +% \global\let\@author\@empty + \global\let\@date\@empty +% \global\let\@title\@empty + \global\let\title\relax + \global\let\author\relax + \global\let\date\relax + \global\let\and\relax +} +\def\@maketitle{% + % Count authors and affiliations + \setcounter{IACR@author@cnt}{1}% + \setcounter{IACR@inst@cnt}{1}% + \setbox0\hbox{\def\thanks##1{\global\@IACR@autoinstfalse}\def\inst##1{\global\@IACR@autoinstfalse}\def\and{\stepcounter{IACR@author@cnt}}\@author}% + \setbox0\hbox{\def\and{\stepcounter{IACR@inst@cnt}}\@institute}% + \xdef\IACR@author@last{\theIACR@author@cnt}% + \edef\IACR@inst@last{\theIACR@inst@cnt}% + \ifnum\IACR@author@last=\IACR@inst@last\else\@IACR@autoinstfalse\fi + \ifnum\IACR@author@last=1 \@IACR@autoinstfalse\fi + \newpage + \null + \vskip 2em% + \begin{center}% + \let \footnote \thanks + {\def\@makefnmark{\rlap{\@textsuperscript{\normalfont\@thefnmark}}}% + {\LARGE \bfseries\sffamily\boldmath \@title\par} + \ifdefined\@subtitle\vskip .5em{\large\sffamily\bfseries\@subtitle\par}\fi}% + \vskip 1.5em% + {\large + \lineskip .5em% + \if@submission + Anonymous Submission + \else + \setcounter{IACR@author@cnt}{1}% + \def\and{\if@IACR@autoinst\inst{\theIACR@author@cnt} \fi + \stepcounter{IACR@author@cnt}% + \ifnum\theIACR@author@cnt=\IACR@author@last\unskip\space and \ignorespaces\else\unskip, \ignorespaces\fi} + \@author\if@IACR@autoinst\inst{\theIACR@author@cnt}\fi + \vskip 1em\par + \small + \setcounter{IACR@author@cnt}{1}% + \def\and{\par\stepcounter{IACR@author@cnt}$^\theIACR@author@cnt$~} + \ifnum\IACR@inst@last>1 $^1$~\fi + \@institute + \fi + }% + \end{center}% + \par + \vskip 1.5em} + +\def\IACR@runningauthors{ + \def\thanks##1{}% + \def\inst##1{}% + \def\fnmsep{}% + \def\\{}% + \def\footnote##1{}% + \setcounter{IACR@author@cnt}{1}% + \def\and{\stepcounter{IACR@author@cnt}% + \ifnum\theIACR@author@cnt=\IACR@author@last\unskip\space and \ignorespaces\else\unskip, \ignorespaces\fi} + \@author} + +\def\IACR@runningtitle{% + \def\thanks##1{}% + \def\fnmsep{}% + \def\\{}% + \def\footnote##1{}% + \@title} + +\def\author{\@ifnextchar[{\IACR@@@author}{\IACR@@author}} +\def\IACR@@@author[#1]#2{\authorrunning{#1}\gdef\@author{#2}} +\def\IACR@@author#1{\gdef\@author{#1}} + +\if@submission +\gdef\@author{Anonymous Submission to \publname} +\renewcommand{\author}[2][]{} +\renewcommand{\authorrunning}[1]{} +\renewcommand{\institute}[2][]{} +\fi + + +\def\title{\@ifnextchar[{\IACR@@@title}{\IACR@@title}} +\def\IACR@@@title[#1]#2{\gdef\@title{#2}\titlerunning{#1}} +\def\IACR@@title#1{\gdef\@title{#1}} + +\newcommand{\subtitle}[1]{\gdef\@subtitle{#1}} + +\newcommand{\inst}[1]{\unskip$^{#1}$} +\def\fnmsep{\unskip$^,$} + + +% Head/foot +\RequirePackage{fancyhdr} +\RequirePackage{graphicx} +\fancypagestyle{title}{% +\fancyhf{} % clear all header and footer fields +\if@submission\else\if@preprint\else +\fancyfoot[L]{\small Licensed under \href{http://creativecommons.org/licenses/by/4.0/}{Creative Commons License CC-BY 4.0.}\\ +\publname{} Vol.~\IACR@vol, No.\IACR@no, pp.\IACR@fp---\IACR@lp, \href{https://doi.org/\IACR@DOI}{DOI:\IACR@DOI}} +\fancyfoot[R]{\includegraphics[height=2ex]{CC-by}} +\if@loadhr + \hypersetup{pdfcopyright={Licensed under Creative Commons License CC-BY 4.0.}} + \hypersetup{pdflicenseurl={http://creativecommons.org/licenses/by/4.0/}} + \hypersetup{pdfsubject={IACR Transactions on Symmetric Cryptology}} + \hypersetup{pdflang=en} +\fi +\fi\fi +\renewcommand{\headrulewidth}{0pt} +\renewcommand{\footrulewidth}{0pt}} +\fancyhf{} % clear all header and footer fields +\fancyhead[RO,LE]{\thepage} +\fancyhead[RE]{\IACR@runningtitle} +\fancyhead[LO]{\IACR@runningauthors} +\renewcommand{\markboth}[2]{} +\pagestyle{fancy} + +\def\subtitle#1{\gdef\@subtitle{#1}} + +%Abstract style, keywords +\def\@IACR@keywords{No keywords given.} + +\def\keywords{\@ifnextchar[{\IACR@@@keywords}{\IACR@@keywords}} +\def\IACR@@@keywords[#1]#2{\gdef\@IACR@PDFkeywords{#1}\gdef\@IACR@keywords{#2}} +\def\IACR@@keywords#1{\gdef\@IACR@keywords{#1}} + +\renewenvironment{abstract}{% + \small\quotation\setlength{\parindent}{0pt}\noindent + \textbf{\textsf{Abstract.}}} + {\smallskip\par\textbf{\textsf{Keywords:}} + \def\and{\unskip\space\textperiodcentered\space\ignorespaces}\@IACR@keywords + \endquotation% + \if@loadhr + %% PDF keywords + \def\and{, }% + \def\thanks##1{}% + \def\footnote##1{}% + \def\inst##1{}% + \def\fnmsep{}% + \def\\{}% + \def\zap@comma@space##1 ,##2{% + ##1% + \ifx##2\@empty\else, \expandafter\zap@comma@space\fi + ##2} + \ifdefined\@IACR@PDFkeywords + \hypersetup{pdfkeywords=\@IACR@PDFkeywords} + \else + \protected@edef\@tmp{\expandafter\@IACR@keywords} + \protected@edef\@tmp{\expandafter\zap@comma@space\@tmp{} ,\@empty} + \hypersetup{pdfkeywords=\@tmp} + \fi + %% PDF author + \def\zap@one,##1{} + \def\zap@last##1,##2{\ifx##1\@empty\else\space and ##1\expandafter\zap@one\fi} + \def\zap@last@comma##1,##2,##3{% + ##1% + \ifx##3\@empty% + \expandafter\zap@last\else + ,\expandafter\zap@last@comma\fi% + ##2,##3} + \def\zap@dbl@space##1 ##2{% + ##1% + \ifx##2\@empty\else\space\expandafter\zap@dbl@space##2\fi} + \protected@edef\@tmp{\expandafter\@author} + % \protected@edef\@tmp{\expandafter\IACR@runningauthors} + \protected@edef\@tmp{\expandafter\zap@last@comma\@tmp,\@empty,\@empty} + \protected@edef\@tmp{\expandafter\zap@comma@space\@tmp{} ,\@empty} + \protected@edef\@tmp{\expandafter\zap@dbl@space\@tmp{} \@empty} + \hypersetup{pdfauthor=\@tmp} + %% PDF title + \hypersetup{pdftitle=\IACR@runningtitle} + \fi +} + + +% Hyperref +\if@loadhr + \RequirePackage{xcolor} + \RequirePackage{etoolbox} + \AtEndPreamble{ + \@ifpackageloaded{hyperref}{}{\usepackage{hyperref}} + \@ifpackageloaded{hyperxmp}{}{\usepackage{hyperxmp}} + \hypersetup{colorlinks=true, + citecolor=black!70!green, + linkcolor=black!70!red} + } + \setcounter{tocdepth}{2} +\fi +% autoref: capitals for Sections, and adding Algorithm +\def\equationautorefname{Equation}% +\def\footnoteautorefname{footnote}% +\def\itemautorefname{item}% +\def\figureautorefname{Figure}% +\def\tableautorefname{Table}% +\def\partautorefname{Part}% +\def\appendixautorefname{Appendix}% +\def\chapterautorefname{Chapter}% +\def\sectionautorefname{Section}% +\def\subsectionautorefname{Subsection}% +\def\subsubsectionautorefname{Subsubsection}% +\def\paragraphautorefname{paragraph}% +\def\subparagraphautorefname{subparagraph}% +\def\FancyVerbLineautorefname{line}% +\def\theoremautorefname{Theorem}% +\def\pageautorefname{page}% +\def\algorithmautorefname{Algorithm} + +% AMS math +\RequirePackage{amsmath,amssymb,amsthm} +\RequirePackage{mathtools} +\theoremstyle{definition} +\newtheorem{definition}{Definition} +\newtheorem{example}{Example} +\newtheorem{exercise}{Exercise} +\newtheorem{property}{Property} +\newtheorem{question}{Question} +\newtheorem{solution}{Solution} + +\theoremstyle{plain} +\newtheorem{theorem}{Theorem} +\newtheorem{proposition}{Proposition} +\newtheorem{problem}{Problem} +\newtheorem{lemma}{Lemma} +\newtheorem{conjecture}{Conjecture} +\newtheorem{corollary}{Corollary} +\newtheorem*{claim}{Claim} + +\theoremstyle{remark} +\newtheorem{remark}{Remark} +\newtheorem{note}{Note} +\newtheorem{case}{Case} + +\theoremstyle{plain} + +%Emulate LLNCS spnewtheorem +\if@spthm +\def\spnewtheorem{\@ifstar{\IACR@spstar}{\IACR@sp}} +\def\IACR@spstar#1#2#3#4{\newtheorem*{#1}{#2}} +\def\IACR@sp#1{\@ifnextchar[{\IACR@sp@b{#1}}{\IACR@sp@a{#1}}} +\def\IACR@sp@a#1#2[#3]#4#5{\newtheorem{#1}{#2}[#3]} +\def\IACR@sp@b#1[#2]#3#4#5{\newtheorem{#1}[#2]{#3}} +\renewcommand{\pushQED}[1]{} +\fi + +% Floats and captions +\if@floatrow +\RequirePackage{floatrow} +\floatsetup[table]{style=Plaintop} +\RequirePackage{caption} +\captionsetup{labelfont={sf,bf}} +\else +\RequirePackage{float} +\newcommand\fs@iacrabove{% + % Swap \abovecaptionskip and \belowcaptionskip + \addtolength\abovecaptionskip{-\belowcaptionskip} + \addtolength\belowcaptionskip{\abovecaptionskip} + \addtolength\abovecaptionskip{-\belowcaptionskip} + \setlength\abovecaptionskip{-\abovecaptionskip} + \fs@plaintop% + \def\@fs@cfont{\sffamily\bfseries}} +\newcommand\fs@iacrbelow{% + \fs@plain% + \def\@fs@cfont{\sffamily\bfseries}} +\floatstyle{iacrabove} +\restylefloat{table} +\floatstyle{iacrbelow} +\restylefloat{figure} +\fi + +% Extra commands +\def\email{\@ifnextchar[{\IACR@@email}{\IACR@email}} +\if@loadhr +\def\IACR@@email[#1]#2{\href{mailto:#1}{\nolinkurl{#2}}} +\def\IACR@email#1{\href{mailto:#1}{\nolinkurl{#1}}} +\else +\RequirePackage{url} +\def\IACR@@email[#1]#2{\url{#2}} +\def\IACR@email#1{\url{#1}} +\fi + +% Line # for submission +\newcommand\linenomathWithnumbersforAMS{% + \ifLineNumbers +%% \ifx\@@par\@@@par\else + \ifnum\interlinepenalty>-\linenopenaltypar + \global\holdinginserts\thr@@ + \advance\interlinepenalty \linenopenalty + \ifhmode % v4.3 + \advance\predisplaypenalty \linenopenalty + \fi +%% \advance\postdisplaypenalty \linenopenalty + \advance\interdisplaylinepenalty \linenopenalty + \fi + \fi + \ignorespaces + } + +\if@submission +\RequirePackage[mathlines]{lineno} +\linenumbers +\def\linenumberfont{\normalfont\tiny\sffamily\color{gray}} + +% Taken from http://phaseportrait.blogspot.fr/2007/08/lineno-and-amsmath-compatibility.html +\newcommand*\patchAmsMathEnvironmentForLineno[1]{% + \expandafter\let\csname old#1\expandafter\endcsname\csname #1\endcsname + \expandafter\let\csname oldend#1\expandafter\endcsname\csname end#1\endcsname + \renewenvironment{#1}% + {\linenomathWithnumbersforAMS\csname old#1\endcsname}% + {\csname oldend#1\endcsname\endlinenomath}}% +\newcommand*\patchBothAmsMathEnvironmentsForLineno[1]{% + \patchAmsMathEnvironmentForLineno{#1}% + \patchAmsMathEnvironmentForLineno{#1*}}% +\AtBeginDocument{% +%\patchBothAmsMathEnvironmentsForLineno{equation}% +\patchBothAmsMathEnvironmentsForLineno{align}% +\patchBothAmsMathEnvironmentsForLineno{flalign}% +\patchBothAmsMathEnvironmentsForLineno{alignat}% +\patchBothAmsMathEnvironmentsForLineno{gather}% +\patchBothAmsMathEnvironmentsForLineno{multline}% +} +\fi + +% Microtype +\RequirePackage{microtype} + +% Fonts +\usepackage[T1]{fontenc} +\usepackage{lmodern} diff --git a/paper/llncs.cls b/paper/llncs.cls new file mode 100644 index 0000000..06401a9 --- /dev/null +++ b/paper/llncs.cls @@ -0,0 +1,1218 @@ +% LLNCS DOCUMENT CLASS -- version 2.20 (10-Mar-2018) +% Springer Verlag LaTeX2e support for Lecture Notes in Computer Science +% +%% +%% \CharacterTable +%% {Upper-case \A\B\C\D\E\F\G\H\I\J\K\L\M\N\O\P\Q\R\S\T\U\V\W\X\Y\Z +%% Lower-case \a\b\c\d\e\f\g\h\i\j\k\l\m\n\o\p\q\r\s\t\u\v\w\x\y\z +%% Digits \0\1\2\3\4\5\6\7\8\9 +%% Exclamation \! Double quote \" Hash (number) \# +%% Dollar \$ Percent \% Ampersand \& +%% Acute accent \' Left paren \( Right paren \) +%% Asterisk \* Plus \+ Comma \, +%% Minus \- Point \. Solidus \/ +%% Colon \: Semicolon \; Less than \< +%% Equals \= Greater than \> Question mark \? +%% Commercial at \@ Left bracket \[ Backslash \\ +%% Right bracket \] Circumflex \^ Underscore \_ +%% Grave accent \` Left brace \{ Vertical bar \| +%% Right brace \} Tilde \~} +%% +\NeedsTeXFormat{LaTeX2e}[1995/12/01] +\ProvidesClass{llncs}[2018/03/10 v2.20 +^^J LaTeX document class for Lecture Notes in Computer Science] +% Options +\let\if@envcntreset\iffalse +\DeclareOption{envcountreset}{\let\if@envcntreset\iftrue} +\DeclareOption{citeauthoryear}{\let\citeauthoryear=Y} +\DeclareOption{oribibl}{\let\oribibl=Y} +\let\if@custvec\iftrue +\DeclareOption{orivec}{\let\if@custvec\iffalse} +\let\if@envcntsame\iffalse +\DeclareOption{envcountsame}{\let\if@envcntsame\iftrue} +\let\if@envcntsect\iffalse +\DeclareOption{envcountsect}{\let\if@envcntsect\iftrue} +\let\if@runhead\iffalse +\DeclareOption{runningheads}{\let\if@runhead\iftrue} + +\let\if@openright\iftrue +\let\if@openbib\iffalse +\DeclareOption{openbib}{\let\if@openbib\iftrue} + +% languages +\let\switcht@@therlang\relax +\def\ds@deutsch{\def\switcht@@therlang{\switcht@deutsch}} +\def\ds@francais{\def\switcht@@therlang{\switcht@francais}} + +\DeclareOption*{\PassOptionsToClass{\CurrentOption}{article}} + +\ProcessOptions + +\LoadClass[twoside]{article} +\RequirePackage{multicol} % needed for the list of participants, index +\RequirePackage{aliascnt} + +\setlength{\textwidth}{12.2cm} +\setlength{\textheight}{19.3cm} +\renewcommand\@pnumwidth{2em} +\renewcommand\@tocrmarg{3.5em} +% +\def\@dottedtocline#1#2#3#4#5{% + \ifnum #1>\c@tocdepth \else + \vskip \z@ \@plus.2\p@ + {\leftskip #2\relax \rightskip \@tocrmarg \advance\rightskip by 0pt plus 2cm + \parfillskip -\rightskip \pretolerance=10000 + \parindent #2\relax\@afterindenttrue + \interlinepenalty\@M + \leavevmode + \@tempdima #3\relax + \advance\leftskip \@tempdima \null\nobreak\hskip -\leftskip + {#4}\nobreak + \leaders\hbox{$\m@th + \mkern \@dotsep mu\hbox{.}\mkern \@dotsep + mu$}\hfill + \nobreak + \hb@xt@\@pnumwidth{\hfil\normalfont \normalcolor #5}% + \par}% + \fi} +% +\def\switcht@albion{% +\def\abstractname{Abstract.} +\def\ackname{Acknowledgement.} +\def\andname{and} +\def\lastandname{\unskip, and} +\def\appendixname{Appendix} +\def\chaptername{Chapter} +\def\claimname{Claim} +\def\conjecturename{Conjecture} +\def\contentsname{Table of Contents} +\def\corollaryname{Corollary} +\def\definitionname{Definition} +\def\examplename{Example} +\def\exercisename{Exercise} +\def\figurename{Fig.} +\def\keywordname{{\bf Keywords:}} +\def\indexname{Index} +\def\lemmaname{Lemma} +\def\contriblistname{List of Contributors} +\def\listfigurename{List of Figures} +\def\listtablename{List of Tables} +\def\mailname{{\it Correspondence to\/}:} +\def\noteaddname{Note added in proof} +\def\notename{Note} +\def\partname{Part} +\def\problemname{Problem} +\def\proofname{Proof} +\def\propertyname{Property} +\def\propositionname{Proposition} +\def\questionname{Question} +\def\remarkname{Remark} +\def\seename{see} +\def\solutionname{Solution} +\def\subclassname{{\it Subject Classifications\/}:} +\def\tablename{Table} +\def\theoremname{Theorem}} +\switcht@albion +% Names of theorem like environments are already defined +% but must be translated if another language is chosen +% +% French section +\def\switcht@francais{%\typeout{On parle francais.}% + \def\abstractname{R\'esum\'e.}% + \def\ackname{Remerciements.}% + \def\andname{et}% + \def\lastandname{ et}% + \def\appendixname{Appendice} + \def\chaptername{Chapitre}% + \def\claimname{Pr\'etention}% + \def\conjecturename{Hypoth\`ese}% + \def\contentsname{Table des mati\`eres}% + \def\corollaryname{Corollaire}% + \def\definitionname{D\'efinition}% + \def\examplename{Exemple}% + \def\exercisename{Exercice}% + \def\figurename{Fig.}% + \def\keywordname{{\bf Mots-cl\'e:}} + \def\indexname{Index} + \def\lemmaname{Lemme}% + \def\contriblistname{Liste des contributeurs} + \def\listfigurename{Liste des figures}% + \def\listtablename{Liste des tables}% + \def\mailname{{\it Correspondence to\/}:} + \def\noteaddname{Note ajout\'ee \`a l'\'epreuve}% + \def\notename{Remarque}% + \def\partname{Partie}% + \def\problemname{Probl\`eme}% + \def\proofname{Preuve}% + \def\propertyname{Caract\'eristique}% +%\def\propositionname{Proposition}% + \def\questionname{Question}% + \def\remarkname{Remarque}% + \def\seename{voir} + \def\solutionname{Solution}% + \def\subclassname{{\it Subject Classifications\/}:} + \def\tablename{Tableau}% + \def\theoremname{Th\'eor\`eme}% +} +% +% German section +\def\switcht@deutsch{%\typeout{Man spricht deutsch.}% + \def\abstractname{Zusammenfassung.}% + \def\ackname{Danksagung.}% + \def\andname{und}% + \def\lastandname{ und}% + \def\appendixname{Anhang}% + \def\chaptername{Kapitel}% + \def\claimname{Behauptung}% + \def\conjecturename{Hypothese}% + \def\contentsname{Inhaltsverzeichnis}% + \def\corollaryname{Korollar}% +%\def\definitionname{Definition}% + \def\examplename{Beispiel}% + \def\exercisename{\"Ubung}% + \def\figurename{Abb.}% + \def\keywordname{{\bf Schl\"usselw\"orter:}} + \def\indexname{Index} +%\def\lemmaname{Lemma}% + \def\contriblistname{Mitarbeiter} + \def\listfigurename{Abbildungsverzeichnis}% + \def\listtablename{Tabellenverzeichnis}% + \def\mailname{{\it Correspondence to\/}:} + \def\noteaddname{Nachtrag}% + \def\notename{Anmerkung}% + \def\partname{Teil}% +%\def\problemname{Problem}% + \def\proofname{Beweis}% + \def\propertyname{Eigenschaft}% +%\def\propositionname{Proposition}% + \def\questionname{Frage}% + \def\remarkname{Anmerkung}% + \def\seename{siehe} + \def\solutionname{L\"osung}% + \def\subclassname{{\it Subject Classifications\/}:} + \def\tablename{Tabelle}% +%\def\theoremname{Theorem}% +} + +% Ragged bottom for the actual page +\def\thisbottomragged{\def\@textbottom{\vskip\z@ plus.0001fil +\global\let\@textbottom\relax}} + +\renewcommand\small{% + \@setfontsize\small\@ixpt{11}% + \abovedisplayskip 8.5\p@ \@plus3\p@ \@minus4\p@ + \abovedisplayshortskip \z@ \@plus2\p@ + \belowdisplayshortskip 4\p@ \@plus2\p@ \@minus2\p@ + \def\@listi{\leftmargin\leftmargini + \parsep 0\p@ \@plus1\p@ \@minus\p@ + \topsep 8\p@ \@plus2\p@ \@minus4\p@ + \itemsep0\p@}% + \belowdisplayskip \abovedisplayskip +} + +\frenchspacing +\widowpenalty=10000 +\clubpenalty=10000 + +\setlength\oddsidemargin {63\p@} +\setlength\evensidemargin {63\p@} +\setlength\marginparwidth {90\p@} + +\setlength\headsep {16\p@} + +\setlength\footnotesep{7.7\p@} +\setlength\textfloatsep{8mm\@plus 2\p@ \@minus 4\p@} +\setlength\intextsep {8mm\@plus 2\p@ \@minus 2\p@} + +\setcounter{secnumdepth}{2} + +\newcounter {chapter} +\renewcommand\thechapter {\@arabic\c@chapter} + +\newif\if@mainmatter \@mainmattertrue +\newcommand\frontmatter{\cleardoublepage + \@mainmatterfalse\pagenumbering{Roman}} +\newcommand\mainmatter{\cleardoublepage + \@mainmattertrue\pagenumbering{arabic}} +\newcommand\backmatter{\if@openright\cleardoublepage\else\clearpage\fi + \@mainmatterfalse} + +\renewcommand\part{\cleardoublepage + \thispagestyle{empty}% + \if@twocolumn + \onecolumn + \@tempswatrue + \else + \@tempswafalse + \fi + \null\vfil + \secdef\@part\@spart} + +\def\@part[#1]#2{% + \ifnum \c@secnumdepth >-2\relax + \refstepcounter{part}% + \addcontentsline{toc}{part}{\thepart\hspace{1em}#1}% + \else + \addcontentsline{toc}{part}{#1}% + \fi + \markboth{}{}% + {\centering + \interlinepenalty \@M + \normalfont + \ifnum \c@secnumdepth >-2\relax + \huge\bfseries \partname~\thepart + \par + \vskip 20\p@ + \fi + \Huge \bfseries #2\par}% + \@endpart} +\def\@spart#1{% + {\centering + \interlinepenalty \@M + \normalfont + \Huge \bfseries #1\par}% + \@endpart} +\def\@endpart{\vfil\newpage + \if@twoside + \null + \thispagestyle{empty}% + \newpage + \fi + \if@tempswa + \twocolumn + \fi} + +\newcommand\chapter{\clearpage + \thispagestyle{empty}% + \global\@topnum\z@ + \@afterindentfalse + \secdef\@chapter\@schapter} +\def\@chapter[#1]#2{\ifnum \c@secnumdepth >\m@ne + \if@mainmatter + \refstepcounter{chapter}% + \typeout{\@chapapp\space\thechapter.}% + \addcontentsline{toc}{chapter}% + {\protect\numberline{\thechapter}#1}% + \else + \addcontentsline{toc}{chapter}{#1}% + \fi + \else + \addcontentsline{toc}{chapter}{#1}% + \fi + \chaptermark{#1}% + \addtocontents{lof}{\protect\addvspace{10\p@}}% + \addtocontents{lot}{\protect\addvspace{10\p@}}% + \if@twocolumn + \@topnewpage[\@makechapterhead{#2}]% + \else + \@makechapterhead{#2}% + \@afterheading + \fi} +\def\@makechapterhead#1{% +% \vspace*{50\p@}% + {\centering + \ifnum \c@secnumdepth >\m@ne + \if@mainmatter + \large\bfseries \@chapapp{} \thechapter + \par\nobreak + \vskip 20\p@ + \fi + \fi + \interlinepenalty\@M + \Large \bfseries #1\par\nobreak + \vskip 40\p@ + }} +\def\@schapter#1{\if@twocolumn + \@topnewpage[\@makeschapterhead{#1}]% + \else + \@makeschapterhead{#1}% + \@afterheading + \fi} +\def\@makeschapterhead#1{% +% \vspace*{50\p@}% + {\centering + \normalfont + \interlinepenalty\@M + \Large \bfseries #1\par\nobreak + \vskip 40\p@ + }} + +\renewcommand\section{\@startsection{section}{1}{\z@}% + {-18\p@ \@plus -4\p@ \@minus -4\p@}% + {12\p@ \@plus 4\p@ \@minus 4\p@}% + {\normalfont\large\bfseries\boldmath + \rightskip=\z@ \@plus 8em\pretolerance=10000 }} +\renewcommand\subsection{\@startsection{subsection}{2}{\z@}% + {-18\p@ \@plus -4\p@ \@minus -4\p@}% + {8\p@ \@plus 4\p@ \@minus 4\p@}% + {\normalfont\normalsize\bfseries\boldmath + \rightskip=\z@ \@plus 8em\pretolerance=10000 }} +\renewcommand\subsubsection{\@startsection{subsubsection}{3}{\z@}% + {-18\p@ \@plus -4\p@ \@minus -4\p@}% + {-0.5em \@plus -0.22em \@minus -0.1em}% + {\normalfont\normalsize\bfseries\boldmath}} +\renewcommand\paragraph{\@startsection{paragraph}{4}{\z@}% + {-12\p@ \@plus -4\p@ \@minus -4\p@}% + {-0.5em \@plus -0.22em \@minus -0.1em}% + {\normalfont\normalsize\itshape}} +\renewcommand\subparagraph[1]{\typeout{LLNCS warning: You should not use + \string\subparagraph\space with this class}\vskip0.5cm +You should not use \verb|\subparagraph| with this class.\vskip0.5cm} + +\DeclareMathSymbol{\Gamma}{\mathalpha}{letters}{"00} +\DeclareMathSymbol{\Delta}{\mathalpha}{letters}{"01} +\DeclareMathSymbol{\Theta}{\mathalpha}{letters}{"02} +\DeclareMathSymbol{\Lambda}{\mathalpha}{letters}{"03} +\DeclareMathSymbol{\Xi}{\mathalpha}{letters}{"04} +\DeclareMathSymbol{\Pi}{\mathalpha}{letters}{"05} +\DeclareMathSymbol{\Sigma}{\mathalpha}{letters}{"06} +\DeclareMathSymbol{\Upsilon}{\mathalpha}{letters}{"07} +\DeclareMathSymbol{\Phi}{\mathalpha}{letters}{"08} +\DeclareMathSymbol{\Psi}{\mathalpha}{letters}{"09} +\DeclareMathSymbol{\Omega}{\mathalpha}{letters}{"0A} + +\let\footnotesize\small + +\if@custvec +\def\vec#1{\mathchoice{\mbox{\boldmath$\displaystyle#1$}} +{\mbox{\boldmath$\textstyle#1$}} +{\mbox{\boldmath$\scriptstyle#1$}} +{\mbox{\boldmath$\scriptscriptstyle#1$}}} +\fi + +\def\squareforqed{\hbox{\rlap{$\sqcap$}$\sqcup$}} +\def\qed{\ifmmode\squareforqed\else{\unskip\nobreak\hfil +\penalty50\hskip1em\null\nobreak\hfil\squareforqed +\parfillskip=0pt\finalhyphendemerits=0\endgraf}\fi} + +\def\getsto{\mathrel{\mathchoice {\vcenter{\offinterlineskip +\halign{\hfil +$\displaystyle##$\hfil\cr\gets\cr\to\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\textstyle##$\hfil\cr\gets +\cr\to\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptstyle##$\hfil\cr\gets +\cr\to\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptscriptstyle##$\hfil\cr +\gets\cr\to\cr}}}}} +\def\lid{\mathrel{\mathchoice {\vcenter{\offinterlineskip\halign{\hfil +$\displaystyle##$\hfil\cr<\cr\noalign{\vskip1.2pt}=\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\textstyle##$\hfil\cr<\cr +\noalign{\vskip1.2pt}=\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptstyle##$\hfil\cr<\cr +\noalign{\vskip1pt}=\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptscriptstyle##$\hfil\cr +<\cr +\noalign{\vskip0.9pt}=\cr}}}}} +\def\gid{\mathrel{\mathchoice {\vcenter{\offinterlineskip\halign{\hfil +$\displaystyle##$\hfil\cr>\cr\noalign{\vskip1.2pt}=\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\textstyle##$\hfil\cr>\cr +\noalign{\vskip1.2pt}=\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptstyle##$\hfil\cr>\cr +\noalign{\vskip1pt}=\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptscriptstyle##$\hfil\cr +>\cr +\noalign{\vskip0.9pt}=\cr}}}}} +\def\grole{\mathrel{\mathchoice {\vcenter{\offinterlineskip +\halign{\hfil +$\displaystyle##$\hfil\cr>\cr\noalign{\vskip-1pt}<\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\textstyle##$\hfil\cr +>\cr\noalign{\vskip-1pt}<\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptstyle##$\hfil\cr +>\cr\noalign{\vskip-0.8pt}<\cr}}} +{\vcenter{\offinterlineskip\halign{\hfil$\scriptscriptstyle##$\hfil\cr +>\cr\noalign{\vskip-0.3pt}<\cr}}}}} +\def\bbbr{{\rm I\!R}} %reelle Zahlen +\def\bbbm{{\rm I\!M}} +\def\bbbn{{\rm I\!N}} %natuerliche Zahlen +\def\bbbf{{\rm I\!F}} +\def\bbbh{{\rm I\!H}} +\def\bbbk{{\rm I\!K}} +\def\bbbp{{\rm I\!P}} +\def\bbbone{{\mathchoice {\rm 1\mskip-4mu l} {\rm 1\mskip-4mu l} +{\rm 1\mskip-4.5mu l} {\rm 1\mskip-5mu l}}} +\def\bbbc{{\mathchoice {\setbox0=\hbox{$\displaystyle\rm C$}\hbox{\hbox +to0pt{\kern0.4\wd0\vrule height0.9\ht0\hss}\box0}} +{\setbox0=\hbox{$\textstyle\rm C$}\hbox{\hbox +to0pt{\kern0.4\wd0\vrule height0.9\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptstyle\rm C$}\hbox{\hbox +to0pt{\kern0.4\wd0\vrule height0.9\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptscriptstyle\rm C$}\hbox{\hbox +to0pt{\kern0.4\wd0\vrule height0.9\ht0\hss}\box0}}}} +\def\bbbq{{\mathchoice {\setbox0=\hbox{$\displaystyle\rm +Q$}\hbox{\raise +0.15\ht0\hbox to0pt{\kern0.4\wd0\vrule height0.8\ht0\hss}\box0}} +{\setbox0=\hbox{$\textstyle\rm Q$}\hbox{\raise +0.15\ht0\hbox to0pt{\kern0.4\wd0\vrule height0.8\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptstyle\rm Q$}\hbox{\raise +0.15\ht0\hbox to0pt{\kern0.4\wd0\vrule height0.7\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptscriptstyle\rm Q$}\hbox{\raise +0.15\ht0\hbox to0pt{\kern0.4\wd0\vrule height0.7\ht0\hss}\box0}}}} +\def\bbbt{{\mathchoice {\setbox0=\hbox{$\displaystyle\rm +T$}\hbox{\hbox to0pt{\kern0.3\wd0\vrule height0.9\ht0\hss}\box0}} +{\setbox0=\hbox{$\textstyle\rm T$}\hbox{\hbox +to0pt{\kern0.3\wd0\vrule height0.9\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptstyle\rm T$}\hbox{\hbox +to0pt{\kern0.3\wd0\vrule height0.9\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptscriptstyle\rm T$}\hbox{\hbox +to0pt{\kern0.3\wd0\vrule height0.9\ht0\hss}\box0}}}} +\def\bbbs{{\mathchoice +{\setbox0=\hbox{$\displaystyle \rm S$}\hbox{\raise0.5\ht0\hbox +to0pt{\kern0.35\wd0\vrule height0.45\ht0\hss}\hbox +to0pt{\kern0.55\wd0\vrule height0.5\ht0\hss}\box0}} +{\setbox0=\hbox{$\textstyle \rm S$}\hbox{\raise0.5\ht0\hbox +to0pt{\kern0.35\wd0\vrule height0.45\ht0\hss}\hbox +to0pt{\kern0.55\wd0\vrule height0.5\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptstyle \rm S$}\hbox{\raise0.5\ht0\hbox +to0pt{\kern0.35\wd0\vrule height0.45\ht0\hss}\raise0.05\ht0\hbox +to0pt{\kern0.5\wd0\vrule height0.45\ht0\hss}\box0}} +{\setbox0=\hbox{$\scriptscriptstyle\rm S$}\hbox{\raise0.5\ht0\hbox +to0pt{\kern0.4\wd0\vrule height0.45\ht0\hss}\raise0.05\ht0\hbox +to0pt{\kern0.55\wd0\vrule height0.45\ht0\hss}\box0}}}} +\def\bbbz{{\mathchoice {\hbox{$\mathsf\textstyle Z\kern-0.4em Z$}} +{\hbox{$\mathsf\textstyle Z\kern-0.4em Z$}} +{\hbox{$\mathsf\scriptstyle Z\kern-0.3em Z$}} +{\hbox{$\mathsf\scriptscriptstyle Z\kern-0.2em Z$}}}} + +\let\ts\, + +\setlength\leftmargini {17\p@} +\setlength\leftmargin {\leftmargini} +\setlength\leftmarginii {\leftmargini} +\setlength\leftmarginiii {\leftmargini} +\setlength\leftmarginiv {\leftmargini} +\setlength \labelsep {.5em} +\setlength \labelwidth{\leftmargini} +\addtolength\labelwidth{-\labelsep} + +\def\@listI{\leftmargin\leftmargini + \parsep 0\p@ \@plus1\p@ \@minus\p@ + \topsep 8\p@ \@plus2\p@ \@minus4\p@ + \itemsep0\p@} +\let\@listi\@listI +\@listi +\def\@listii {\leftmargin\leftmarginii + \labelwidth\leftmarginii + \advance\labelwidth-\labelsep + \topsep 0\p@ \@plus2\p@ \@minus\p@} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii + \advance\labelwidth-\labelsep + \topsep 0\p@ \@plus\p@\@minus\p@ + \parsep \z@ + \partopsep \p@ \@plus\z@ \@minus\p@} + +\renewcommand\labelitemi{\normalfont\bfseries --} +\renewcommand\labelitemii{$\m@th\bullet$} + +\setlength\arraycolsep{1.4\p@} +\setlength\tabcolsep{1.4\p@} + +\def\tableofcontents{\chapter*{\contentsname\@mkboth{{\contentsname}}% + {{\contentsname}}} + \def\authcount##1{\setcounter{auco}{##1}\setcounter{@auth}{1}} + \def\lastand{\ifnum\value{auco}=2\relax + \unskip{} \andname\ + \else + \unskip \lastandname\ + \fi}% + \def\and{\stepcounter{@auth}\relax + \ifnum\value{@auth}=\value{auco}% + \lastand + \else + \unskip, + \fi}% + \@starttoc{toc}\if@restonecol\twocolumn\fi} + +\def\l@part#1#2{\addpenalty{\@secpenalty}% + \addvspace{2em plus\p@}% % space above part line + \begingroup + \parindent \z@ + \rightskip \z@ plus 5em + \hrule\vskip5pt + \large % same size as for a contribution heading + \bfseries\boldmath % set line in boldface + \leavevmode % TeX command to enter horizontal mode. + #1\par + \vskip5pt + \hrule + \vskip1pt + \nobreak % Never break after part entry + \endgroup} + +\def\@dotsep{2} + +\let\phantomsection=\relax + +\def\hyperhrefextend{\ifx\hyper@anchor\@undefined\else +{}\fi} + +\def\addnumcontentsmark#1#2#3{% +\addtocontents{#1}{\protect\contentsline{#2}{\protect\numberline + {\thechapter}#3}{\thepage}\hyperhrefextend}}% +\def\addcontentsmark#1#2#3{% +\addtocontents{#1}{\protect\contentsline{#2}{#3}{\thepage}\hyperhrefextend}}% +\def\addcontentsmarkwop#1#2#3{% +\addtocontents{#1}{\protect\contentsline{#2}{#3}{0}\hyperhrefextend}}% + +\def\@adcmk[#1]{\ifcase #1 \or +\def\@gtempa{\addnumcontentsmark}% + \or \def\@gtempa{\addcontentsmark}% + \or \def\@gtempa{\addcontentsmarkwop}% + \fi\@gtempa{toc}{chapter}% +} +\def\addtocmark{% +\phantomsection +\@ifnextchar[{\@adcmk}{\@adcmk[3]}% +} + +\def\l@chapter#1#2{\addpenalty{-\@highpenalty} + \vskip 1.0em plus 1pt \@tempdima 1.5em \begingroup + \parindent \z@ \rightskip \@tocrmarg + \advance\rightskip by 0pt plus 2cm + \parfillskip -\rightskip \pretolerance=10000 + \leavevmode \advance\leftskip\@tempdima \hskip -\leftskip + {\large\bfseries\boldmath#1}\ifx0#2\hfil\null + \else + \nobreak + \leaders\hbox{$\m@th \mkern \@dotsep mu.\mkern + \@dotsep mu$}\hfill + \nobreak\hbox to\@pnumwidth{\hss #2}% + \fi\par + \penalty\@highpenalty \endgroup} + +\def\l@title#1#2{\addpenalty{-\@highpenalty} + \addvspace{8pt plus 1pt} + \@tempdima \z@ + \begingroup + \parindent \z@ \rightskip \@tocrmarg + \advance\rightskip by 0pt plus 2cm + \parfillskip -\rightskip \pretolerance=10000 + \leavevmode \advance\leftskip\@tempdima \hskip -\leftskip + #1\nobreak + \leaders\hbox{$\m@th \mkern \@dotsep mu.\mkern + \@dotsep mu$}\hfill + \nobreak\hbox to\@pnumwidth{\hss #2}\par + \penalty\@highpenalty \endgroup} + +\def\l@author#1#2{\addpenalty{\@highpenalty} + \@tempdima=15\p@ %\z@ + \begingroup + \parindent \z@ \rightskip \@tocrmarg + \advance\rightskip by 0pt plus 2cm + \pretolerance=10000 + \leavevmode \advance\leftskip\@tempdima %\hskip -\leftskip + \textit{#1}\par + \penalty\@highpenalty \endgroup} + +\setcounter{tocdepth}{0} +\newdimen\tocchpnum +\newdimen\tocsecnum +\newdimen\tocsectotal +\newdimen\tocsubsecnum +\newdimen\tocsubsectotal +\newdimen\tocsubsubsecnum +\newdimen\tocsubsubsectotal +\newdimen\tocparanum +\newdimen\tocparatotal +\newdimen\tocsubparanum +\tocchpnum=\z@ % no chapter numbers +\tocsecnum=15\p@ % section 88. plus 2.222pt +\tocsubsecnum=23\p@ % subsection 88.8 plus 2.222pt +\tocsubsubsecnum=27\p@ % subsubsection 88.8.8 plus 1.444pt +\tocparanum=35\p@ % paragraph 88.8.8.8 plus 1.666pt +\tocsubparanum=43\p@ % subparagraph 88.8.8.8.8 plus 1.888pt +\def\calctocindent{% +\tocsectotal=\tocchpnum +\advance\tocsectotal by\tocsecnum +\tocsubsectotal=\tocsectotal +\advance\tocsubsectotal by\tocsubsecnum +\tocsubsubsectotal=\tocsubsectotal +\advance\tocsubsubsectotal by\tocsubsubsecnum +\tocparatotal=\tocsubsubsectotal +\advance\tocparatotal by\tocparanum} +\calctocindent + +\def\l@section{\@dottedtocline{1}{\tocchpnum}{\tocsecnum}} +\def\l@subsection{\@dottedtocline{2}{\tocsectotal}{\tocsubsecnum}} +\def\l@subsubsection{\@dottedtocline{3}{\tocsubsectotal}{\tocsubsubsecnum}} +\def\l@paragraph{\@dottedtocline{4}{\tocsubsubsectotal}{\tocparanum}} +\def\l@subparagraph{\@dottedtocline{5}{\tocparatotal}{\tocsubparanum}} + +\def\listoffigures{\@restonecolfalse\if@twocolumn\@restonecoltrue\onecolumn + \fi\section*{\listfigurename\@mkboth{{\listfigurename}}{{\listfigurename}}} + \@starttoc{lof}\if@restonecol\twocolumn\fi} +\def\l@figure{\@dottedtocline{1}{0em}{1.5em}} + +\def\listoftables{\@restonecolfalse\if@twocolumn\@restonecoltrue\onecolumn + \fi\section*{\listtablename\@mkboth{{\listtablename}}{{\listtablename}}} + \@starttoc{lot}\if@restonecol\twocolumn\fi} +\let\l@table\l@figure + +\renewcommand\listoffigures{% + \section*{\listfigurename + \@mkboth{\listfigurename}{\listfigurename}}% + \@starttoc{lof}% + } + +\renewcommand\listoftables{% + \section*{\listtablename + \@mkboth{\listtablename}{\listtablename}}% + \@starttoc{lot}% + } + +\ifx\oribibl\undefined +\ifx\citeauthoryear\undefined +\renewenvironment{thebibliography}[1] + {\section*{\refname} + \def\@biblabel##1{##1.} + \small + \list{\@biblabel{\@arabic\c@enumiv}}% + {\settowidth\labelwidth{\@biblabel{#1}}% + \leftmargin\labelwidth + \advance\leftmargin\labelsep + \if@openbib + \advance\leftmargin\bibindent + \itemindent -\bibindent + \listparindent \itemindent + \parsep \z@ + \fi + \usecounter{enumiv}% + \let\p@enumiv\@empty + \renewcommand\theenumiv{\@arabic\c@enumiv}}% + \if@openbib + \renewcommand\newblock{\par}% + \else + \renewcommand\newblock{\hskip .11em \@plus.33em \@minus.07em}% + \fi + \sloppy\clubpenalty4000\widowpenalty4000% + \sfcode`\.=\@m} + {\def\@noitemerr + {\@latex@warning{Empty `thebibliography' environment}}% + \endlist} +\def\@lbibitem[#1]#2{\item[{[#1]}\hfill]\if@filesw + {\let\protect\noexpand\immediate + \write\@auxout{\string\bibcite{#2}{#1}}}\fi\ignorespaces} +\newcount\@tempcntc +\def\@citex[#1]#2{\if@filesw\immediate\write\@auxout{\string\citation{#2}}\fi + \@tempcnta\z@\@tempcntb\m@ne\def\@citea{}\@cite{\@for\@citeb:=#2\do + {\@ifundefined + {b@\@citeb}{\@citeo\@tempcntb\m@ne\@citea\def\@citea{,}{\bfseries + ?}\@warning + {Citation `\@citeb' on page \thepage \space undefined}}% + {\setbox\z@\hbox{\global\@tempcntc0\csname b@\@citeb\endcsname\relax}% + \ifnum\@tempcntc=\z@ \@citeo\@tempcntb\m@ne + \@citea\def\@citea{,}\hbox{\csname b@\@citeb\endcsname}% + \else + \advance\@tempcntb\@ne + \ifnum\@tempcntb=\@tempcntc + \else\advance\@tempcntb\m@ne\@citeo + \@tempcnta\@tempcntc\@tempcntb\@tempcntc\fi\fi}}\@citeo}{#1}} +\def\@citeo{\ifnum\@tempcnta>\@tempcntb\else + \@citea\def\@citea{,\,\hskip\z@skip}% + \ifnum\@tempcnta=\@tempcntb\the\@tempcnta\else + {\advance\@tempcnta\@ne\ifnum\@tempcnta=\@tempcntb \else + \def\@citea{--}\fi + \advance\@tempcnta\m@ne\the\@tempcnta\@citea\the\@tempcntb}\fi\fi} +\else +\renewenvironment{thebibliography}[1] + {\section*{\refname} + \small + \list{}% + {\settowidth\labelwidth{}% + \leftmargin\parindent + \itemindent=-\parindent + \labelsep=\z@ + \if@openbib + \advance\leftmargin\bibindent + \itemindent -\bibindent + \listparindent \itemindent + \parsep \z@ + \fi + \usecounter{enumiv}% + \let\p@enumiv\@empty + \renewcommand\theenumiv{}}% + \if@openbib + \renewcommand\newblock{\par}% + \else + \renewcommand\newblock{\hskip .11em \@plus.33em \@minus.07em}% + \fi + \sloppy\clubpenalty4000\widowpenalty4000% + \sfcode`\.=\@m} + {\def\@noitemerr + {\@latex@warning{Empty `thebibliography' environment}}% + \endlist} + \def\@cite#1{#1}% + \def\@lbibitem[#1]#2{\item[]\if@filesw + {\def\protect##1{\string ##1\space}\immediate + \write\@auxout{\string\bibcite{#2}{#1}}}\fi\ignorespaces} + \fi +\else +\@cons\@openbib@code{\noexpand\small} +\fi + +\def\idxquad{\hskip 10\p@}% space that divides entry from number + +\def\@idxitem{\par\hangindent 10\p@} + +\def\subitem{\par\setbox0=\hbox{--\enspace}% second order + \noindent\hangindent\wd0\box0}% index entry + +\def\subsubitem{\par\setbox0=\hbox{--\,--\enspace}% third + \noindent\hangindent\wd0\box0}% order index entry + +\def\indexspace{\par \vskip 10\p@ plus5\p@ minus3\p@\relax} + +\renewenvironment{theindex} + {\@mkboth{\indexname}{\indexname}% + \thispagestyle{empty}\parindent\z@ + \parskip\z@ \@plus .3\p@\relax + \let\item\par + \def\,{\relax\ifmmode\mskip\thinmuskip + \else\hskip0.2em\ignorespaces\fi}% + \normalfont\small + \begin{multicols}{2}[\@makeschapterhead{\indexname}]% + } + {\end{multicols}} + +\renewcommand\footnoterule{% + \kern-3\p@ + \hrule\@width 2truecm + \kern2.6\p@} + \newdimen\fnindent + \fnindent1em +\long\def\@makefntext#1{% + \parindent \fnindent% + \leftskip \fnindent% + \noindent + \llap{\hb@xt@1em{\hss\@makefnmark\ }}\ignorespaces#1} + +\long\def\@makecaption#1#2{% + \small + \vskip\abovecaptionskip + \sbox\@tempboxa{{\bfseries #1.} #2}% + \ifdim \wd\@tempboxa >\hsize + {\bfseries #1.} #2\par + \else + \global \@minipagefalse + \hb@xt@\hsize{\hfil\box\@tempboxa\hfil}% + \fi + \vskip\belowcaptionskip} + +\def\fps@figure{htbp} +\def\fnum@figure{\figurename\thinspace\thefigure} +\def \@floatboxreset {% + \reset@font + \small + \@setnobreak + \@setminipage +} +\def\fps@table{htbp} +\def\fnum@table{\tablename~\thetable} +\renewenvironment{table} + {\setlength\abovecaptionskip{0\p@}% + \setlength\belowcaptionskip{10\p@}% + \@float{table}} + {\end@float} +\renewenvironment{table*} + {\setlength\abovecaptionskip{0\p@}% + \setlength\belowcaptionskip{10\p@}% + \@dblfloat{table}} + {\end@dblfloat} + +\long\def\@caption#1[#2]#3{\par\addcontentsline{\csname + ext@#1\endcsname}{#1}{\protect\numberline{\csname + the#1\endcsname}{\ignorespaces #2}}\begingroup + \@parboxrestore + \@makecaption{\csname fnum@#1\endcsname}{\ignorespaces #3}\par + \endgroup} + +% LaTeX does not provide a command to enter the authors institute +% addresses. The \institute command is defined here. + +\newcounter{@inst} +\newcounter{@auth} +\newcounter{auco} +\newdimen\instindent +\newbox\authrun +\newtoks\authorrunning +\newtoks\tocauthor +\newbox\titrun +\newtoks\titlerunning +\newtoks\toctitle + +\def\clearheadinfo{\gdef\@author{No Author Given}% + \gdef\@title{No Title Given}% + \gdef\@subtitle{}% + \gdef\@institute{No Institute Given}% + \gdef\@thanks{}% + \global\titlerunning={}\global\authorrunning={}% + \global\toctitle={}\global\tocauthor={}} + +\def\institute#1{\gdef\@institute{#1}} + +\def\institutename{\par + \begingroup + \parskip=\z@ + \parindent=\z@ + \setcounter{@inst}{1}% + \def\and{\par\stepcounter{@inst}% + \noindent$^{\the@inst}$\enspace\ignorespaces}% + \setbox0=\vbox{\def\thanks##1{}\@institute}% + \ifnum\c@@inst=1\relax + \gdef\fnnstart{0}% + \else + \xdef\fnnstart{\c@@inst}% + \setcounter{@inst}{1}% + \noindent$^{\the@inst}$\enspace + \fi + \ignorespaces + \@institute\par + \endgroup} + +\def\@fnsymbol#1{\ensuremath{\ifcase#1\or\star\or{\star\star}\or + {\star\star\star}\or \dagger\or \ddagger\or + \mathchar "278\or \mathchar "27B\or \|\or **\or \dagger\dagger + \or \ddagger\ddagger \else\@ctrerr\fi}} + +\def\inst#1{\unskip$^{#1}$} +\def\orcidID#1{\unskip$^{[#1]}$} % added MR 2018-03-10 +\def\fnmsep{\unskip$^,$} +\def\email#1{{\tt#1}} + +\AtBeginDocument{\@ifundefined{url}{\def\url#1{#1}}{}% +\@ifpackageloaded{babel}{% +\@ifundefined{extrasenglish}{}{\addto\extrasenglish{\switcht@albion}}% +\@ifundefined{extrasfrenchb}{}{\addto\extrasfrenchb{\switcht@francais}}% +\@ifundefined{extrasgerman}{}{\addto\extrasgerman{\switcht@deutsch}}% +\@ifundefined{extrasngerman}{}{\addto\extrasngerman{\switcht@deutsch}}% +}{\switcht@@therlang}% +\providecommand{\keywords}[1]{\def\and{{\textperiodcentered} }% +\par\addvspace\baselineskip +\noindent\keywordname\enspace\ignorespaces#1}% +\@ifpackageloaded{hyperref}{% +\def\doi#1{\href{https://doi.org/#1}{https://doi.org/#1}}}{ +\def\doi#1{https://doi.org/#1}} +} +\def\homedir{\~{ }} + +\def\subtitle#1{\gdef\@subtitle{#1}} +\clearheadinfo +% +%%% to avoid hyperref warnings +\providecommand*{\toclevel@author}{999} +%%% to make title-entry parent of section-entries +\providecommand*{\toclevel@title}{0} +% +\renewcommand\maketitle{\newpage +\phantomsection + \refstepcounter{chapter}% + \stepcounter{section}% + \setcounter{section}{0}% + \setcounter{subsection}{0}% + \setcounter{figure}{0} + \setcounter{table}{0} + \setcounter{equation}{0} + \setcounter{footnote}{0}% + \begingroup + \parindent=\z@ + \renewcommand\thefootnote{\@fnsymbol\c@footnote}% + \if@twocolumn + \ifnum \col@number=\@ne + \@maketitle + \else + \twocolumn[\@maketitle]% + \fi + \else + \newpage + \global\@topnum\z@ % Prevents figures from going at top of page. + \@maketitle + \fi + \thispagestyle{empty}\@thanks +% + \def\\{\unskip\ \ignorespaces}\def\inst##1{\unskip{}}% + \def\thanks##1{\unskip{}}\def\fnmsep{\unskip}% + \instindent=\hsize + \advance\instindent by-\headlineindent + \if!\the\toctitle!\addcontentsline{toc}{title}{\@title}\else + \addcontentsline{toc}{title}{\the\toctitle}\fi + \if@runhead + \if!\the\titlerunning!\else + \edef\@title{\the\titlerunning}% + \fi + \global\setbox\titrun=\hbox{\small\rm\unboldmath\ignorespaces\@title}% + \ifdim\wd\titrun>\instindent + \typeout{Title too long for running head. Please supply}% + \typeout{a shorter form with \string\titlerunning\space prior to + \string\maketitle}% + \global\setbox\titrun=\hbox{\small\rm + Title Suppressed Due to Excessive Length}% + \fi + \xdef\@title{\copy\titrun}% + \fi +% + \if!\the\tocauthor!\relax + {\def\and{\noexpand\protect\noexpand\and}% + \def\inst##1{}% added MR 2017-09-20 to remove inst numbers from the TOC + \def\orcidID##1{}% added MR 2017-09-20 to remove ORCID ids from the TOC + \protected@xdef\toc@uthor{\@author}}% + \else + \def\\{\noexpand\protect\noexpand\newline}% + \protected@xdef\scratch{\the\tocauthor}% + \protected@xdef\toc@uthor{\scratch}% + \fi + \addtocontents{toc}{\noexpand\protect\noexpand\authcount{\the\c@auco}}% + \addcontentsline{toc}{author}{\toc@uthor}% + \if@runhead + \if!\the\authorrunning! + \value{@inst}=\value{@auth}% + \setcounter{@auth}{1}% + \else + \edef\@author{\the\authorrunning}% + \fi + \global\setbox\authrun=\hbox{\def\inst##1{}% added MR 2017-09-20 to remove inst numbers from the runninghead + \def\orcidID##1{}% added MR 2017-09-20 to remove ORCID ids from the runninghead + \small\unboldmath\@author\unskip}% + \ifdim\wd\authrun>\instindent + \typeout{Names of authors too long for running head. Please supply}% + \typeout{a shorter form with \string\authorrunning\space prior to + \string\maketitle}% + \global\setbox\authrun=\hbox{\small\rm + Authors Suppressed Due to Excessive Length}% + \fi + \xdef\@author{\copy\authrun}% + \markboth{\@author}{\@title}% + \fi + \endgroup + \setcounter{footnote}{\fnnstart}% + \clearheadinfo} +% +\def\@maketitle{\newpage + \markboth{}{}% + \def\lastand{\ifnum\value{@inst}=2\relax + \unskip{} \andname\ + \else + \unskip \lastandname\ + \fi}% + \def\and{\stepcounter{@auth}\relax + \ifnum\value{@auth}=\value{@inst}% + \lastand + \else + \unskip, + \fi}% + \begin{center}% + \let\newline\\ + {\Large \bfseries\boldmath + \pretolerance=10000 + \@title \par}\vskip .8cm +\if!\@subtitle!\else {\large \bfseries\boldmath + \vskip -.65cm + \pretolerance=10000 + \@subtitle \par}\vskip .8cm\fi + \setbox0=\vbox{\setcounter{@auth}{1}\def\and{\stepcounter{@auth}}% + \def\thanks##1{}\@author}% + \global\value{@inst}=\value{@auth}% + \global\value{auco}=\value{@auth}% + \setcounter{@auth}{1}% +{\lineskip .5em +\noindent\ignorespaces +\@author\vskip.35cm} + {\small\institutename} + \end{center}% + } + +% definition of the "\spnewtheorem" command. +% +% Usage: +% +% \spnewtheorem{env_nam}{caption}[within]{cap_font}{body_font} +% or \spnewtheorem{env_nam}[numbered_like]{caption}{cap_font}{body_font} +% or \spnewtheorem*{env_nam}{caption}{cap_font}{body_font} +% +% New is "cap_font" and "body_font". It stands for +% fontdefinition of the caption and the text itself. +% +% "\spnewtheorem*" gives a theorem without number. +% +% A defined spnewthoerem environment is used as described +% by Lamport. +% +%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% + +\def\@thmcountersep{} +\def\@thmcounterend{.} + +\def\spnewtheorem{\@ifstar{\@sthm}{\@Sthm}} + +% definition of \spnewtheorem with number + +\def\@spnthm#1#2{% + \@ifnextchar[{\@spxnthm{#1}{#2}}{\@spynthm{#1}{#2}}} +\def\@Sthm#1{\@ifnextchar[{\@spothm{#1}}{\@spnthm{#1}}} + +\def\@spxnthm#1#2[#3]#4#5{\expandafter\@ifdefinable\csname #1\endcsname + {\@definecounter{#1}\@addtoreset{#1}{#3}% + \expandafter\xdef\csname the#1\endcsname{\expandafter\noexpand + \csname the#3\endcsname \noexpand\@thmcountersep \@thmcounter{#1}}% + \expandafter\xdef\csname #1name\endcsname{#2}% + \global\@namedef{#1}{\@spthm{#1}{\csname #1name\endcsname}{#4}{#5}}% + \global\@namedef{end#1}{\@endtheorem}}} + +\def\@spynthm#1#2#3#4{\expandafter\@ifdefinable\csname #1\endcsname + {\@definecounter{#1}% + \expandafter\xdef\csname the#1\endcsname{\@thmcounter{#1}}% + \expandafter\xdef\csname #1name\endcsname{#2}% + \global\@namedef{#1}{\@spthm{#1}{\csname #1name\endcsname}{#3}{#4}}% + \global\@namedef{end#1}{\@endtheorem}}} + +\def\@spothm#1[#2]#3#4#5{% + \@ifundefined{c@#2}{\@latexerr{No theorem environment `#2' defined}\@eha}% + {\expandafter\@ifdefinable\csname #1\endcsname + {\newaliascnt{#1}{#2}% + \expandafter\xdef\csname #1name\endcsname{#3}% + \global\@namedef{#1}{\@spthm{#1}{\csname #1name\endcsname}{#4}{#5}}% + \global\@namedef{end#1}{\@endtheorem}}}} + +\def\@spthm#1#2#3#4{\topsep 7\p@ \@plus2\p@ \@minus4\p@ +\refstepcounter{#1}% +\@ifnextchar[{\@spythm{#1}{#2}{#3}{#4}}{\@spxthm{#1}{#2}{#3}{#4}}} + +\def\@spxthm#1#2#3#4{\@spbegintheorem{#2}{\csname the#1\endcsname}{#3}{#4}% + \ignorespaces} + +\def\@spythm#1#2#3#4[#5]{\@spopargbegintheorem{#2}{\csname + the#1\endcsname}{#5}{#3}{#4}\ignorespaces} + +\def\@spbegintheorem#1#2#3#4{\trivlist + \item[\hskip\labelsep{#3#1\ #2\@thmcounterend}]#4} + +\def\@spopargbegintheorem#1#2#3#4#5{\trivlist + \item[\hskip\labelsep{#4#1\ #2}]{#4(#3)\@thmcounterend\ }#5} + +% definition of \spnewtheorem* without number + +\def\@sthm#1#2{\@Ynthm{#1}{#2}} + +\def\@Ynthm#1#2#3#4{\expandafter\@ifdefinable\csname #1\endcsname + {\global\@namedef{#1}{\@Thm{\csname #1name\endcsname}{#3}{#4}}% + \expandafter\xdef\csname #1name\endcsname{#2}% + \global\@namedef{end#1}{\@endtheorem}}} + +\def\@Thm#1#2#3{\topsep 7\p@ \@plus2\p@ \@minus4\p@ +\@ifnextchar[{\@Ythm{#1}{#2}{#3}}{\@Xthm{#1}{#2}{#3}}} + +\def\@Xthm#1#2#3{\@Begintheorem{#1}{#2}{#3}\ignorespaces} + +\def\@Ythm#1#2#3[#4]{\@Opargbegintheorem{#1} + {#4}{#2}{#3}\ignorespaces} + +\def\@Begintheorem#1#2#3{#3\trivlist + \item[\hskip\labelsep{#2#1\@thmcounterend}]} + +\def\@Opargbegintheorem#1#2#3#4{#4\trivlist + \item[\hskip\labelsep{#3#1}]{#3(#2)\@thmcounterend\ }} + +\if@envcntsect + \def\@thmcountersep{.} + \spnewtheorem{theorem}{Theorem}[section]{\bfseries}{\itshape} +\else + \spnewtheorem{theorem}{Theorem}{\bfseries}{\itshape} + \if@envcntreset + \@addtoreset{theorem}{section} + \else + \@addtoreset{theorem}{chapter} + \fi +\fi + +%definition of divers theorem environments +\spnewtheorem*{claim}{Claim}{\itshape}{\rmfamily} +\spnewtheorem*{proof}{Proof}{\itshape}{\rmfamily} +\if@envcntsame % alle Umgebungen wie Theorem. + \def\spn@wtheorem#1#2#3#4{\@spothm{#1}[theorem]{#2}{#3}{#4}} +\else % alle Umgebungen mit eigenem Zaehler + \if@envcntsect % mit section numeriert + \def\spn@wtheorem#1#2#3#4{\@spxnthm{#1}{#2}[section]{#3}{#4}} + \else % nicht mit section numeriert + \if@envcntreset + \def\spn@wtheorem#1#2#3#4{\@spynthm{#1}{#2}{#3}{#4} + \@addtoreset{#1}{section}} + \else + \def\spn@wtheorem#1#2#3#4{\@spynthm{#1}{#2}{#3}{#4} + \@addtoreset{#1}{chapter}}% + \fi + \fi +\fi +\spn@wtheorem{case}{Case}{\itshape}{\rmfamily} +\spn@wtheorem{conjecture}{Conjecture}{\itshape}{\rmfamily} +\spn@wtheorem{corollary}{Corollary}{\bfseries}{\itshape} +\spn@wtheorem{definition}{Definition}{\bfseries}{\itshape} +\spn@wtheorem{example}{Example}{\itshape}{\rmfamily} +\spn@wtheorem{exercise}{Exercise}{\itshape}{\rmfamily} +\spn@wtheorem{lemma}{Lemma}{\bfseries}{\itshape} +\spn@wtheorem{note}{Note}{\itshape}{\rmfamily} +\spn@wtheorem{problem}{Problem}{\itshape}{\rmfamily} +\spn@wtheorem{property}{Property}{\itshape}{\rmfamily} +\spn@wtheorem{proposition}{Proposition}{\bfseries}{\itshape} +\spn@wtheorem{question}{Question}{\itshape}{\rmfamily} +\spn@wtheorem{solution}{Solution}{\itshape}{\rmfamily} +\spn@wtheorem{remark}{Remark}{\itshape}{\rmfamily} + +\def\@takefromreset#1#2{% + \def\@tempa{#1}% + \let\@tempd\@elt + \def\@elt##1{% + \def\@tempb{##1}% + \ifx\@tempa\@tempb\else + \@addtoreset{##1}{#2}% + \fi}% + \expandafter\expandafter\let\expandafter\@tempc\csname cl@#2\endcsname + \expandafter\def\csname cl@#2\endcsname{}% + \@tempc + \let\@elt\@tempd} + +\def\theopargself{\def\@spopargbegintheorem##1##2##3##4##5{\trivlist + \item[\hskip\labelsep{##4##1\ ##2}]{##4##3\@thmcounterend\ }##5} + \def\@Opargbegintheorem##1##2##3##4{##4\trivlist + \item[\hskip\labelsep{##3##1}]{##3##2\@thmcounterend\ }} + } + +\renewenvironment{abstract}{% + \list{}{\advance\topsep by0.35cm\relax\small + \leftmargin=1cm + \labelwidth=\z@ + \listparindent=\z@ + \itemindent\listparindent + \rightmargin\leftmargin}\item[\hskip\labelsep + \bfseries\abstractname]} + {\endlist} + +\newdimen\headlineindent % dimension for space between +\headlineindent=1.166cm % number and text of headings. + +\def\ps@headings{\let\@mkboth\@gobbletwo + \let\@oddfoot\@empty\let\@evenfoot\@empty + \def\@evenhead{\normalfont\small\rlap{\thepage}\hspace{\headlineindent}% + \leftmark\hfil} + \def\@oddhead{\normalfont\small\hfil\rightmark\hspace{\headlineindent}% + \llap{\thepage}} + \def\chaptermark##1{}% + \def\sectionmark##1{}% + \def\subsectionmark##1{}} + +\def\ps@titlepage{\let\@mkboth\@gobbletwo + \let\@oddfoot\@empty\let\@evenfoot\@empty + \def\@evenhead{\normalfont\small\rlap{\thepage}\hspace{\headlineindent}% + \hfil} + \def\@oddhead{\normalfont\small\hfil\hspace{\headlineindent}% + \llap{\thepage}} + \def\chaptermark##1{}% + \def\sectionmark##1{}% + \def\subsectionmark##1{}} + +\if@runhead\ps@headings\else +\ps@empty\fi + +\setlength\arraycolsep{1.4\p@} +\setlength\tabcolsep{1.4\p@} + +\endinput +%end of file llncs.cls diff --git a/ma/resources/prototype.jpg b/paper/prototype.jpg similarity index 100% rename from ma/resources/prototype.jpg rename to paper/prototype.jpg diff --git a/ma/resources/prototype_schema.pdf b/paper/prototype_schema.pdf similarity index 100% rename from ma/resources/prototype_schema.pdf rename to paper/prototype_schema.pdf diff --git a/paper/safety-reset-paper-v1.0-draft1.pdf b/paper/safety-reset-paper-v1.0-draft1.pdf new file mode 100644 index 0000000..317b163 Binary files /dev/null and b/paper/safety-reset-paper-v1.0-draft1.pdf differ diff --git a/paper/safety-reset-paper.bib b/paper/safety-reset-paper.bib new file mode 100644 index 0000000..5861efb --- /dev/null +++ b/paper/safety-reset-paper.bib @@ -0,0 +1,1924 @@ +@comment{x-kbibtex-encoding=utf-8} + +@article{pinto01, + address = {New York, NY, USA}, + articleno = {130}, + author = {Sandro Pinto and Nuno Santos}, + doi = {10.1145/3291047}, + issn = {0360-0300}, + issue_date = {February 2019}, + journal = {ACM Comput. Surv.}, + keywords = {security; TEE; virtualization; Arm; TrustZone; survey}, + month = jan, + number = {6}, + numpages = {36}, + publisher = {Association for Computing Machinery}, + title = {Demystifying Arm TrustZone: A Comprehensive Survey}, + url = {https://doi.org/10.1145/3291047}, + volume = {51}, + year = {2019} +} + +@inproceedings{kanonov01, + author = {Uri Kanonov and Avishai Wool}, + booktitle = {Proceedings of the 6th Workshop on Security and Privacy in Smartphones and Mobile Devices}, + pages = {3–12}, + title = {Secure containers in Android: the Samsung KNOX case study}, + year = {2016} +} + +@inproceedings{rosenberg01, + author = {Dan Rosenberg}, + booktitle = {Black Hat conference}, + title = {Qsee trustzone kernel integer over flow vulnerability}, + year = {2014} +} + +@online{bnetza1, + author = {{German Government Bundesnetzagentur}}, + publisher = {Bundesnetzagentur}, + title = {Smart Meter}, + url = {https://web.archive.org/web/20190919100204/https://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Verbraucher/NetzanschlussUndMessung/SmartMetering/SmartMeter_node.html}, + note = {Accessed 2019-09-19}, + year = {2019} +} + +@online{bmwi1, + author = {{Bundesamt für Sicherheit in der Informationstechnik} and {Bundesministerium für Wirtschaft und Energie}}, + month = jan, + publisher = {Bundesministerium für Wirtschaft und Energie}, + title = {Standardisierungsstrategie zur sektorübergreifenden Digitalisierung nach dem Gesetz zur Digitalisierung der Energiewende}, + url = {https://web.archive.org/web/20190919100713/https://www.bmwi.de/Redaktion/DE/Downloads/S-T/standardisierungsstrategie.pdf}, + note = {Accessed 2019-09-19}, + year = {2019} +} + +@misc{bsi-tr-03109, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + month = nov, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {Technische Richtlinie BSI TR-03109}, + url = {https://web.archive.org/web/20190919102010/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR03109.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=3}, + note = {Accessed 2019-09-19}, + year = {2015} +} + +@misc{bsi-tr-03109-1, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + month = jan, + number = {v1.0.1}, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {TR-03109-1: Anforderungen an die Interoperabilität der Kommunikationseinheit eines intelligenten Messsystems}, + url = {https://web.archive.org/web/20190919102217/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR03109-1.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=3}, + note = {Accessed 2019-09-19}, + year = {2019} +} + +@misc{bsi-tr-03109-6, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + month = nov, + number = {v1.0}, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {TR-03109-6: Smart Meter Gateway Administration}, + url = {https://web.archive.org/web/20190919102651/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-6-Smart_Meter_Gateway_Administration.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=4}, + note = {Accessed 2019-09-19}, + year = {2015} +} + +@misc{bsi-tr-03109-4, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + month = aug, + number = {v1.2.1}, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {TR-03109-4: Public Key Infrastruktur für Smart Meter Gateways}, + url = {https://web.archive.org/web/20190919102649/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-4_PKI.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=3}, + note = {Accessed 2019-09-19}, + year = {2017} +} + +@misc{bsi-tr-03109-2, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + month = dec, + number = {v1.1}, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {TR-03109-2: Smart Meter Gateway - Anforderungen an die Funktionalität und Interoperabilität des Sicherheitsmoduls}, + url = {https://web.archive.org/web/20190919102644/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-2-Anforderungen_an_die_Funktionalitaet.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=3}, + note = {Accessed 2019-09-19}, + year = {2014} +} + +@misc{bsi-tr-03109-3, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + month = apr, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {TR-03109-3: Kryptographische Vorgaben für die Infrastruktur von intelligenten Messsystemen}, + url = {https://web.archive.org/web/20190919102648/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-3_Kryptographische_Vorgaben.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=1}, + note = {Accessed 2019-09-19}, + year = {2014} +} + +@misc{bsi-tr-03109-1-I, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {{Bundesamt für Sicherheit in der Informationstechnik}}, + title = {TR-03109-1 Anlage I: CMS-Datenformat für die Inhaltsdatenverschlüsselung und -signatur}, + url = {https://web.archive.org/web/20190919104234/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1\_Anlage\_CMS.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2\_cid351?\_\_blob=publicationFile\&v=2}, + note = {Accessed 2019-09-19}, + year = {2013} +} + +@misc{bsi-tr-03109-1-II, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage II: COSEM/HTTP Webservices}, + url = {https://web.archive.org/web/20190919104234/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1\_Anlage\_CMS.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2\_cid351?\_\_blob=publicationFile\&v=2}, + note = {Accessed 2019-09-19}, + year = {2012} +} + +@misc{bsi-tr-03109-1-IIIb, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage III: Feinspezifikation "Drahtlose LMN-Schnittstelle" Teil b: "OMS Technical Report Security"}, + url = {https://web.archive.org/web/20190919110101/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1_Anlage_Feinspezifikation_Drahtlose_LMN-Schnittstelle-Teil2.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=2}, + note = {Accessed 2019-09-19}, + year = {2013} +} + +@misc{bsi-tr-03109-1-IIIa, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage III: Feinspezifikation "Drahtlose LMN-Schnittstelle" Teil a: "OMS Specification Volume 2, Primary Communication"}, + url = {https://web.archive.org/web/20190919110054/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1_Anlage_Feinspezifikation_Drahtlose_LMN-Schnittstelle.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=2}, + note = {Accessed 2019-09-19}, + year = {2013} +} + +@misc{bsi-tr-03109-1-IVa, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage IV: Feinspezifikation "Drahtgebundene LMN-Schnittstelle" Teil a: "HDLC für LMN"}, + url = {https://web.archive.org/web/20190919110101/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1_Anlage_Feinspezifikation_Drahtlose_LMN-Schnittstelle-Teil2.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=2}, + note = {Accessed 2019-09-19}, + year = {2013} +} + +@misc{bsi-tr-03109-1-IVb, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage IV: Feinspezifikation "Drahtgebundene LMN-Schnittstelle" Teil b: "SML Smart Message Language"}, + url = {https://web.archive.org/web/20190919110756/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1\_Anlage\_Feinspezifikation\_Drahtgebundene\_LMN-Schnittstelle\_Teilb.pdf jsessionid=BD197BE4CB44C76EE7945640B8703844.2\_cid351?\_\_blob=publicationFile\&v=2}, + note = {Accessed 2019-09-19}, + year = {2013} +} + +@misc{bsi-tr-03109-1-VI, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = mar, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage VI: Betriebsprozesse}, + url = {https://web.archive.org/web/20190919111203/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1_Anlage_Betriebsprozesse.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=1}, + note = {Accessed 2019-09-19}, + year = {2013} +} + +@misc{bsi-tr-03109-1-VII, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = jan, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-1 Anlage VII: Interoperabilitätsmodell und Geräteprofile für Smart-Meter- Gateways}, + url = {https://web.archive.org/web/20190919111350/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-1_Anlage_Interop-Modell-Geraeteprofile.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=2}, + note = {Accessed 2019-09-19}, + year = {2019} +} + +@misc{bsi-tr-03109-2-a, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.1}, + month = dec, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-2 Anhang A: Smart Meter Gateway Sicherheitsmodul Use Cases}, + url = {https://web.archive.org/web/20190919111540/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-2-Sicherheitsmodul_Use_Cases.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=2}, + note = {Accessed 2019-09-19}, + year = {2014} +} + +@misc{bsi-tr-03109-2-b, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {v1.0}, + month = jun, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-2 Anhang B: Smart Meter Mini-HSM Anforderungen an die Funktionalität und Interoperabilität des Sicherheitsmoduls}, + url = {https://web.archive.org/web/20190919111832/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-2_Anhang_B_Smart_Meter_Mini_HSM.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=3}, + note = {Accessed 2019-09-19}, + year = {2017} +} + +@misc{bsi-tr-03116-3, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03116 Kryptographische Vorgaben für Projekte der Bundesregierung}, + month = jan, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03116-3: Intelligente Messsysteme}, + url = {https://web.archive.org/web/20190919112052/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03116/BSI-TR-03116-3.pdf; jsessionid=CB56FC0D3137C5624CA697AB9E57671F.1_cid360?__blob=publicationFile&v=9}, + note = {Accessed 2019-09-19}, + year = {2019} +} + +@misc{bsi-tr-03109-ts-1, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + booktitle = {Technische Richtlinie BSI TR-03109}, + edition = {00.91}, + month = jan, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-03109-TS-1: Testkonzept zu BSI TR-03109-1}, + url = {https://web.archive.org/web/20190919112310/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Publikationen/TechnischeRichtlinien/TR03109/TR-03109-TS-1_Testkonzept.pdf; jsessionid=BD197BE4CB44C76EE7945640B8703844.2_cid351?__blob=publicationFile&v=1}, + note = {Accessed 2019-09-19}, + year = {2015} +} + +@misc{bsi-tr-pruefstellen, + author = {{Bundesamt für Sicherheit in der Informationstechnik}}, + edition = {v1.5}, + month = jan, + organization = {Bundesamt für Sicherheit in der Informationstechnik}, + title = {TR-Prüfstellen: Anforderungen an Antragsteller zur Anerkennung als Prüfstelle im Bereich Technischer Richtlinien}, + url = {https://web.archive.org/web/20190919112552/https://www.bsi.bund.de/SharedDocs/Downloads/DE/BSI/Zertifizierung/TR-Pruefstellen.pdf; jsessionid=A6B4CB8AD2C038741C656276CE874B61.2_cid369?__blob=publicationFile&v=10}, + note = {Accessed 2019-09-19}, + year = {2019} +} + +@article{mo01, + author = {Yilin Mo and Tiffany Hyun-Jin Kim and Kenneth Brancik and Dona Dickinson and Heejo Lee and Adrian Perrig and Bruno Sinopoli}, + journaltitle = {Proceedings of the IEEE}, + month = jan, + number = {1}, + pages = {195–209}, + publisher = {IEEE}, + title = {Cyber-Physical Security of a Smart Grid Infrastructure}, + url = {http://ieeexplore.ieee.org.sci-hub.tw/abstract/document/6016202; https://ieeexplore.ieee.org/abstract/document/6016202; https://www.researchgate.net/profile/Yilin_Mo/publication/224257991_Cyber-Physical_Security_of_a_Smart_Grid_Infrastructure/links/004635395d2f66a584000000.pdf}, + note = {Accessed 2019-09-19}, + volume = {100}, + year = {2012} +} + +@article{gungor01, + author = {Vehbi C. Güngör and Dilan Sahin and Taskin Kocak and Concettina Buccella and Carlo Cecati and Gerhard P. 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Aguado}, + journaltitle = {Renewable and Sustainable Energy Reviews}, + pages = {227–233}, + publisher = {Elsevier}, + title = {Smart metering trends, implications and necessities: A policy review}, + url = {http://kchbi.chtf.stuba.sk/upload_new/file/Miro/Proc%20problemy%20odovzdane%20zadania/Cyprichov%C3%A1/SmartMetering.pdf; http://dx.doi.org/10.1016/j.rser.2015.11.002}, + note = {Accessed 2019-09-19}, + volume = {55}, + x-color = {#009966}, + year = {2016} +} + +@article{lopez01, + author = {G. Lopez and J.I. Moreno and H. Amarís and F. 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M. {Kosek}}, + booktitle = {2016 Joint Workshop on Cyber- Physical Security and Resilience in Smart Grids (CPSR-SG)}, + doi = {10.1109/CPSRSG.2016.7684098}, + keywords = {power consumption; power engineering computing; power system measurement; power system security; security of data; smart meters; energy theft techniques; power energy consumption; electric energy distribution; electricity theft detection; energy consumers; cyber security; smart metering; low voltage network; Energy consumption; Security; Energy measurement; Companies; Power systems; Wheels; Smart Grid; energy theft; cyber-physical security; digital data flow; energy hacking}, + month = {April}, + organization = {IEEE}, + pages = {1–7}, + title = {The most frequent energy theft techniques and hazards in present power energy consumption}, + url = {https://project-sparks.eu/wp-content/uploads/2016/04/czechowski-cpsr-sg-paper-four.pdf}, + x-color = {#009966}, + year = {2016} +} + +@misc{st-db3636, + author = {{ST Microelectronics}}, + edition = {r1}, + month = {jun}, + organization = {ST Microelectronics}, + subtitle = {Security module of a smart meter gateway as defined by the BSI}, + title = {STSAFE-J100-BS Data brief}, + url = {https://www.st.com/resource/en/data_brief/stsafe-j100-bs.pdf}, + note = {Accessed 2019-09-20}, + x-color = {#009966}, + year = {2018} +} + +@online{dalheimer01, + author = {Mathias Dalheimer}, + year = {2014}, + eventtitle = {Gulaschprogrammiernacht 2014}, + title = {Smart Meter-Einführung Deutschland}, + url = {https://entropia.de/images/2/2c/GPN14-SmartMeterEinf%C3%BChrung.pdf} +} + +@online{heise01, + author = {Leo Becker}, + year = {2019}, + editor = {{Heise Online}}, + title = {checkm8: Boot-Exploit soll neuere iPhones knacken}, + url = {https://www.heise.de/mac-and-i/meldung/checkm8-Boot-Exploit-soll-neuere-iPhones-knacken-4542075.html} +} + +@article{wu01, + author = {Yongdong Wu and Zhuo Wei and Jian Weng and Xin Li and Robert H. Deng}, + doi = {10.1109/TSG.2017.2661307}, + journaltitle = {IEEE Transactions on Smart Grid}, + month = {Sep}, + number = {5}, + pages = {4490–4502}, + title = {Resonance Attacks on Load Frequency Control of Smart Grids}, + volume = {9}, + x-color = {#cc3300}, + year = {2018} +} + +@misc{entsoe01, + author = {{ENTSO-E System Protection Dynamics and WG}}, + month = mar, + title = {Oscillation Event 03.12.2017}, + url = {https://docstore.entsoe.eu/Documents/SOC%20documents/Regional_Groups_Continental_Europe/OSCILLATION_REPORT_SPD.pdf}, + year = {2018} +} + +@article{leveson01, + author = {Nancy G. Leveson and Clark S. Turner}, + journaltitle = {IEEE Computer}, + month = jul, + number = {7}, + pages = {18–41}, + title = {An Investigation of the Therac-25 Accidents}, + url = {https://doi.org/10.1109/MC.1993.274940; https://web.archive.org/web/20041128024227/http://www.cs.umd.edu/class/spring2003/cmsc838p/Misc/therac.pdf}, + volume = {26}, + year = {1993} +} + +@article{lamport01, + author = {Leslie Lamport and Robert Shostak and Marshall Pease}, + journaltitle = {ACM Transactions on Programming Languages and Systems}, + month = jul, + number = {3}, + pages = {382–401}, + publisher = {ACM}, + title = {The Byzantine Generals Problem}, + url = {https://www.microsoft.com/en-us/research/publication/byzantine-generals-problem/?from=http%3A%2F%2Fresearch.microsoft.com%2Fen-us%2Fum%2Fpeople%2Flamport%2Fpubs%2Fbyz.pdf; https://doi.org/10.1145%2F357172.357176}, + volume = {4}, + year = {1982} +} + +@inbook{blaze01, + author = {Matt Blaze and Joan Feigenbaum and John Ioannidis and Angelos D Keromytis}, + booktitle = {Secure Internet Programming}, + pages = {185–210}, + publisher = {Springer}, + title = {The role of trust management in distributed systems security}, + year = {1999} +} + +@article{lee01, + author = {Robert M. Lee and Michael J. Assante and Tim Conway}, + journal = {Electricity Information Sharing and Analysis Center (E-ISAC)}, + title = {Analysis of the cyber attack on the Ukrainian power grid}, + year = {2016} +} + +@article{sun01, + author = {Chih-Che Sun and Adam Hahn and Chen-Ching Liu}, + journal = {International Journal of Electrical Power \& Energy Systems}, + pages = {45–56}, + publisher = {Elsevier}, + title = {Cyber security of a power grid: State-of-the-art}, + volume = {99}, + year = {2018} +} + +@inproceedings{zheng01, + author = {Jixuan Zheng and David Wenzhong Gao and Li Lin}, + booktitle = {2013 IEEE Green Technologies Conference (GreenTech)}, + organization = {IEEE}, + pages = {57–64}, + title = {Smart meters in smart grid: An overview}, + year = {2013} +} + +@misc{cenelec01, + author = {{The CEN/CENELEC/ETSI Joint Working Group Standards Smart on for Grids}}, + month = may, + organization = {CEN/CENELEC/ETSI}, + title = {Final report of the CEN/CENELEC/ETSI Joint Working Group on Standards for Smart Grids}, + year = {2011} +} + +@misc{pariente01, + author = {Dillon Pariente and Emmanuel Ledinot}, + journal = {Formal Verification of Object-Oriented Software}, + pages = {205–219}, + publisher = {KIT University of the State of Baden-Wuerttemberg and National Research Center of the Helmholtz Association}, + title = {Formal verification of industrial C code using Frama-C: a case study}, + year = {2010} +} + +@inbook{rogers01, + author = {Graham Rogers}, + isbn = {9781461370598}, + publisher = {Kluwer}, + title = {Power System Oscillations}, + year = {2000} +} + +@inproceedings{grebe01, + author = {E. Grebe and J. Kabouris and S. López Barba and W. Sattinger and W. Winter}, + doi = {10.1109/PES.2010.5589932}, + journaltitle = {IEEE PES General Meeting}, + month = aug, + publisher = {IEEE}, + title = {Low Frequency Oscillations in the Interconnected System of Continental Europe}, + year = {2010} +} + +@article{mcdaniel01, + author = {McDaniel Patrick and McLaughlin Stephen}, + journaltitle = {Secure Systems}, + month = may, + organization = {IEEE}, + title = {Security and Privacy Challenges in the Smart Grid}, + year = {2009} +} + +@article{schafer01, + author = {Benjamin Schäfer and Moritz Matthiae and Marc Timme and Dirk Witthaut}, + doi = {10.1088/1367-2630/17/1/015002}, + journaltitle = {New Journal of Physics}, + month = jan, + publisher = {IOP/DPG}, + title = {Decentral Smart Grid Control}, + volume = {17}, + year = {2015} +} + +@article{kosut01, + author = {Oliver Kosut and Liyan Jia and Robert J. Thomas and Lang Tong}, + journaltitle = {IEEE Transactions on Smart Grid}, + month = nov, + number = {4}, + pages = {645–658}, + publisher = {IEEE}, + title = {Malicious Data Attacks on the Smart Grid}, + volume = {2}, + year = {2011} +} + +@online{schneier01, + author = {Bruce Schneier}, + journaltitle = {Crypto-Gram May 15 2002}, + month = may, + publisher = {Counterplane Internet Security}, + title = {Secrecy, Security, and Obscurity}, + url = {https://www.schneier.com/crypto-gram/archives/2002/0515.html}, + year = {2002} +} + +@article{kim01, + author = {Jinsub Kim and Lang Tong}, + doi = {10.1109/JSAC.2013.130712}, + journaltitle = {IEEE Journal on Selected Areas in Communications}, + month = jul, + number = {7}, + publisher = {IEEE}, + title = {On Topology Attack of a Smart Grid: Undetectable Attacks and Countermeasures}, + volume = {31}, + year = {2013} +} + +@inproceedings{fraunholz01, + author = {Daniel Fraunholz and Simon {Duque Anton} and Hans Dieter Schotten}, + journaltitle = {2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)}, + month = nov, + publisher = {IEEE}, + title = {Introducing GAMfIS: A Generic Attacker Model for Information Security}, + url = {https://doi.org/10.23919/SOFTCOM.2017.8115550}, + year = {2017} +} + +@online{nytimes01, + author = {Andrew E. Kramer}, + journaltitle = {The New York Times New York edition, Section A, Page 1}, + publisher = {The New York Times}, + title = {How the Kremlin Recruited an Army of Specialists for Cyberwar}, + year = {2016} +} + +@article{perez01, + author = {Noelia Uribe-Pérez and Luis Hernández and David de la Vega and Itziar Angulo}, + comment = {Questionable publisher but seems good-quality, well-researched. Maybe not published elsewhere since it's just an industry/legislative review article?}, + doi = {10.3390/app6030068}, + journaltitle = {Applied Sciences}, + month = feb, + number = {3}, + organization = {MDPI}, + pages = {68}, + title = {State of the Art and Trends Review of Smart Metering in Electricity Grids}, + volume = {6}, + x-color = {#cc3300}, + year = {2016} +} + +@article{urtasun01, + author = {Andoni Urtasun and Pablo Sanchis and David Barricarte and Luis Marroyo}, + comment = {has lots of self-citations by urtasun}, + journaltitle = {Renewable Energy}, + month = jan, + pages = {325–336}, + publisher = {Elsevier}, + title = {Energy management strategy for a battery-diesel stand-alone system with distributed PV generation based on grid frequency modulation}, + url = {http://dx.doi.org/10.1016/j.renene.2013.12.020}, + volume = {66}, + year = {2014} +} + +@article{dzung01, + author = {Dacfey Dzung and Inigo Berganza and Alberto Sendin}, + year = {2011}, + doi = {10.1109/ISPLC.2011.5764444}, + journaltitle = {2011 IEEE International Symposium on Power Line Communications and Its Applications}, + title = {Evolution of powerline communications for smart distribution: From Ripple Control to OFDM}, + url = {https://www.researchgate.net/profile/Inigo_Berganza/publication/224236306_Evolution_of_powerline_communications_for_smart_distribution_From_ripple_control_to_OFDM/links/5c658800299bf1d14cc74cbd/Evolution-of-powerline-communications-for-smart-distribution-From-ripple-control-to-OFDM.pdf} +} + +@online{hovi01, + author = {Jochen Fritz and Alexander Hovi}, + year = {2020}, + journaltitle = {Rundsteuertechnik: Übertragung von Steuersignalen über das Energieversorgungsnetz}, + title = {Transkommando-System}, + url = {http://www.rundsteuerung.de/entwicklung/transkommando.html} +} + +@book{kundur01, + address = {New York, NY u.a.}, + author = {Prabha Kundur}, + isbn = {007035958X}, + keywords = {Elektrizitätsversorgungsnetz}, + language = {eng}, + publisher = {McGraw-Hill}, + series = {The EPRI power system engineering series}, + title = {Power system stability and control}, + year = {1994} +} + +@book{goiser01, + author = {Alois M. J. Goiser}, + year = {1998}, + isbn = {3-211-83080-4}, + publisher = {Springer}, + title = {Handbuch der Spread-Spectrum Technik} +} + +@misc{lamport02, + author = {Leslie Lamport}, + institution = {Technical Report CSL-98, SRI International}, + title = {Constructing digital signatures from a one-way function}, + year = {1979} +} + +@inproceedings{buchmann01, + author = {Johannes Buchmann and Erik Dahmen and Sarah Ereth and Andreas Hülsing and Markus Rückert}, + booktitle = {International Conference on Cryptology in Africa}, + organization = {Springer}, + pages = {363–378}, + title = {On the security of the Winternitz one-time signature scheme}, + year = {2011} +} + +@inproceedings{merkle01, + author = {Ralph C Merkle}, + booktitle = {Conference on the Theory and Application of Cryptology}, + organization = {Springer}, + pages = {218–238}, + title = {A certified digital signature}, + year = {1989} +} + +@inbook{dods01, + author = {Chris Dods and Nigel P Smart and Martijn Stam}, + booktitle = {Post-Quantum Cryptography}, + doi = {10.1007/978-3-540-88702-7_3}, + editor = {D. J. Bernstein and J. Buchmann and E. Dahmen}, + isbn = {978-3-540-88701-0}, + organization = {Springer}, + pages = {96–115}, + publisher = {Springer}, + title = {Hash based digital signature schemes}, + year = {2005} +} + +@misc{gasior01, + author = {M Gasior and JL Gonzalez}, + institution = {CERN-AB-Note-2004-021}, + title = {Improving FFT frequency measurement resolution by parabolic and gaussian interpolation}, + year = {2004} +} + +@inproceedings{giudice01, + author = {Antonio {Del Giudice} and Giorgio Graditi and Antonio Pietrosanto and Vincenzo Paciello}, + booktitle = {2015 IEEE International Workshop on Measurements \& Networking (M\&N)}, + organization = {IEEE}, + pages = {1–6}, + title = {Power quality in smart distribution grids}, + year = {2015} +} + +@article{virtanen01, + adsurl = {https://rdcu.be/b08Wh}, + author = {Pauli {Virtanen} and Ralf {Gommers} and Travis E. {Oliphant} and Matt {Haberland} and Tyler {Reddy} and David {Cournapeau} and Evgeni {Burovski} and Pearu {Peterson} and Warren {Weckesser} and Jonathan {Bright} and Stéfan J. {van der Walt} and Matthew {Brett} and Joshua {Wilson} and K. {Jarrod Millman} and Nikolay {Mayorov} and Andrew R.~J. {Nelson} and Eric {Jones} and Robert {Kern} and Eric {Larson} and CJ {Carey} and İlhan {Polat} and Yu {Feng} and Eric W. {Moore} and Jake {Vand erPlas} and Denis {Laxalde} and Josef {Perktold} and Robert {Cimrman} and Ian {Henriksen} and E.~A. {Quintero} and Charles R {Harris} and Anne M. {Archibald} and Antônio H. {Ribeiro} and Fabian {Pedregosa} and Paul {van Mulbregt} and SciPy 1. 0 {Contributors}}, + doi = {10.1038/s41592-019-0686-2}, + journal = {Nature Methods}, + pages = {261–272}, + title = {SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python}, + volume = {17}, + year = {2020} +} + +@article{derviskadic01, + author = {Asja Derviškadić and Paolo Romano and Mario Paolone}, + journal = {IEEE Transactions on Instrumentation and Measurement}, + number = {3}, + pages = {547–558}, + publisher = {IEEE}, + title = {Iterative-interpolated DFT for synchrophasor estimation: A single algorithm for P-and M-class compliant PMUs}, + volume = {67}, + year = {2017} +} + +@article{narduzzi01, + author = {Claudio Narduzzi and Matteo Bertocco and Guglielmo Frigo and Giada Giorgi}, + journal = {IEEE Transactions on Instrumentation and Measurement}, + number = {8}, + pages = {1825–1835}, + publisher = {IEEE}, + title = {Fast-TFM—Multifrequency phasor measurement for distribution networks}, + volume = {67}, + year = {2018} +} + +@article{cheshire01, + author = {Stuart Cheshire and Mary Baker}, + bibsource = {dblp computer science bibliography, https://dblp.org}, + biburl = {https://dblp.org/rec/journals/ton/CheshireB99.bib}, + doi = {10.1109/90.769765}, + journal = {{IEEE/ACM} Trans. Netw.}, + number = {2}, + pages = {159–172}, + title = {Consistent overhead Byte stuffing}, + volume = {7}, + year = {1999} +} + +@inproceedings{kluyver01, + author = {Thomas Kluyver and Benjamin Ragan{-}Kelley and Fernando Pérez and Brian E. Granger and Matthias Bussonnier and Jonathan Frederic and Kyle Kelley and Jessica B. Hamrick and Jason Grout and Sylvain Corlay and Paul Ivanov and Damián Avila and Safia Abdalla and Carol Willing and et al.}, + bibsource = {dblp computer science bibliography, https://dblp.org}, + biburl = {https://dblp.org/rec/conf/elpub/KluyverRPGBFKHG16.bib}, + booktitle = {Positioning and Power in Academic Publishing: Players, Agents and Agendas, 20th International Conference on Electronic Publishing, Göttingen, Germany, June 7-9, 2016}, + doi = {10.3233/978-1-61499-649-1-87}, + editor = {Fernando Loizides and Birgit Schmidt}, + pages = {87–90}, + publisher = {{IOS} Press}, + title = {Jupyter Notebooks - a publishing format for reproducible computational workflows}, + year = {2016} +} + +@article{perrin01, + author = {Trevor Perrin}, + journal = {URL http://noiseprotocol. org/noise. pdf}, + title = {The Noise protocol framework, 2015}, + year = {2016} +} + +@thesis{gasior02, + author = {Marek Gasior}, + title = {Improving frequency resolution of discrete spectra: algorithms of three-node interpolation}, + url = {https://cds.cern.ch/record/1346070}, + year = {2006} +} + +@misc{entsoe02, + author = {{ENTSO-E}}, + title = {Operation Handbook, Policy 1: Load-Frequency Control-Final Version (approved by SC on 19 March 2009)}, + year = {2009} +} + +@misc{entsoe03, + author = {{ENTSO-E Working Group Incident Classification Scale Under System Operations Committee}}, + year = {2014}, + author = {{ENTSO-E}}, + title = {Incidents Classification Methodology} +} + +@misc{entsoe04, + author = {{ENTSO-E}}, + publisher = {UCTE/ENTSO-E}, + title = {Operation Handbook, Appendix 1: Load-Frequency Control and Performance}, + year = {2009} +} + +@inbook{eisma01, + author = {David Eisma and Pretesh Patel}, + booktitle = {Essential Readings in Light Metals, Volume 2, Aluminum Reduction Technology}, + year = {2016}, + editor = {Geoff Bearne and Marc Dupuis and Gary Tarcy}, + pages = {683–688}, + title = {Challenges in Power Modulation} +} + +@inbook{depree01, + author = {N. Depree and R. Düssel and P. Patel and T. Reek}, + booktitle = {Light Metals 2016}, + year = {2016}, + doi = {10.1007/978-3-319-48251-4_96}, + editor = {E. Williams}, + pages = {571–576}, + title = {The Virtual Battery — Operating an Aluminium Smelter with Flexible Energy Input} +} + +@inproceedings{duessel01, + author = {Roman Düssel}, + booktitle = {Proceedings of the 36th International ICSOBA Conference}, + year = {2018}, + journaltitle = {Proceedings of the 36th International ICSOBA Conference}, + title = {Paradigm Shift in the Indication of a Stable Cell during Power Modulation} +} + +@misc{ec01, + author = {Christian Egenhofer and Felice Simonelli and Andrea Renda and Antonella Zarra and William Schmitt and Aurélie Faure and Eleaonor Drabik and Vasileios Rizos and Thomas Hähl and Michèle Koper and Angelica Afanador and Marian Bons}, + year = {2018}, + doi = {10.2873/937326}, + institution = {European Commission, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs}, + title = {Composition and Drivers of Energy Prices and Costs: Case Studies in Selected Energy Intensive Industries – 2018}, + url = {https://op.europa.eu/en/publication-detail/-/publication/424dac0a-ec77-11e8-b690-01aa75ed71a1/language-en} +} + +@inproceedings{oye01, + author = {Harald A. Øye}, + year = {2012}, + note = {27th International Aluminium Conference Metal Bulletin Events}, + title = {Power Failure, Temporary Pot Shut-Down, Restart and Repair} +} + +@article{ayoub01, + author = {Mohammed W. Ayoub and Francis V. P. Robinson}, + year = {2013}, + doi = {10.1109/IEEEGCC.2013.6705851}, + institution = {{Dubai Aluminium}}, + title = {A comparative study between diode and thyristor based AC to DC converters for aluminium smelting process}, + url = {https://purehost.bath.ac.uk/ws/files/134381670/a_comparative_study_between_diode_and_thyristor_based_AC_to_DC_converters_for_aluminium_smelting_process.pdf} +} + +@article{pvyh03, + author={Pavlidou, N. and Han Vinck, A.J. and Yazdani, J. and Honary, B.}, + journal={IEEE Communications Magazine}, + title={Power line communications: state of the art and future trends}, + year={2003}, + volume={41}, + number={4}, + pages={34-40}, + doi={10.1109/MCOM.2003.1193972}} +} + +@misc{wright01, + author = {Paul S. Wright}, + year = {2019}, + doi = {10.5281/zenodo.3559798}, + institution = {UK National Physical Laboratory}, + title = {Library of ROCOF Test Waveforms – Pseudo Code, V1.0, May 2019.} +} + +@misc{hp01, + year = {1997}, + author = {{Hewlett Packard}}, + title = {Application Note 200-2: Fundamentals of Quartz Oscillators} +} + +@misc{netze01, + author = {Adrian Cramer}, + year = {2015}, + organization = {{NETZE Bad Langensalza GmbH}}, + title = {Bedienhandbuch "Smart Meter"}, + url = {https://www.nbl-badlangensalza.de/fileadmin/Netze/Dokumente/Benutzerhandbuch_NBL-Smart_Meter_V.1.0_.pdf} +} + +@misc{steinbach01, + year = {2018}, + editor = {Armin Steinbach and Michael Weise}, + isbn = {9783110555882}, + publisher = {De Gruyter}, + title = {MsbG : Kommentar zum Messstellenbetriebsgesetz} +} + +@misc{bmwe01, + year = {2019}, + institution = {Bundesministeriums für Wirtschaft und Energie}, + title = {Gutachten Digitalisierung der Energiewende}, + url = {https://www.bmwi.de/Redaktion/DE/Publikationen/Studien/digitalisierung-der-energiewende-thema-1.pdf?__blob=publicationFile&v=4} +} + +@misc{easymeter01, + author = {{EasyMeter GmbH}}, + year = {2020}, + title = {Datenblatt Moderne Messeinrichtung Q3A Drehstromzähler} +} + +@misc{honeywell01, + author = {{Honeywell Smart Energy}}, + year = {2017}, + title = {Datasheet Honeywell REX2 smart meter}, + url = {https://www.elstersolutions.com/assets/products/products_elster_files/SEADSNAEN001017REX2.pdf} +} + +@online{ifixit01, + author = {Miro Djuric}, + year = {2011}, + organization = {iFixit}, + title = {Elster REX2 Smart Meter Teardown}, + url = {https://www.ifixit.com/News/14306/elster-rex2-smart-meter-teardown}, + note = {Accessed 2020-05-06} +} + +@misc{ec02, + author = {Frédéric Tounquet and Clément Alaton}, + year = {2019}, + institution = {European Commission, Directorate-General for Energy, Directorate B - Internal Energy Market}, + title = {Benchmarking smart meteringdeployment in the EU-28}, + type = {resreport} +} + +@online{destatis01, + year = {2020}, + editor = {Statistisches Bundesamt DeStatis}, + title = {Erzeugung - Bilanz - Monatsbericht über die Elektrizitätsversorgung}, + url = {https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Energie/Erzeugung/Tabellen/bilanz-elektrizitaetsversorgung.html}, + note = {Accessed 2020-05-07} +} + +@book{nelles01, + author = {Dieter Nelles and Christian Tuttas}, + doi = {10.1007/978-3-663-09902-4}, + isbn = {978-3-663-09902-4}, + title = {Elektrische Energietechnik}, + year = {1998} +} + +@book{crastan01, + author = {Valentin Crastan}, + doi = {10.1007/978-3-662-45985-0}, + title = {Elektrische Energieversorgung 1}, + year = {2015} +} + +@book{crastan03, + author = {Valentin Crastan}, + year = {2012}, + doi = {10.1007/978-3-642-20100-4}, + isbn = {978-3-642-20099-1}, + title = {Elektrische Energieversorgung 3} +} + +@book{simon01, + doi = {10.1007/978-3-322-85061-4}, + editor = {Liviu Constantinescu-Simon}, + title = {Handbuch Elektrische Energietechnik}, + year = {1997} +} + +@online{kamstrup01, + author = {{Kamstrup A/S}}, + title = {STS prepayment meter}, + url = {https://www.kamstrup.com/en-en/electricity-solutions/smart-electricity-meters/sts-prepayment-meter}, + note = {Accessed 2020-05-11} +} + +@online{itron01, + author = {{Itron Inc}}, + year = {2012}, + title = {Benutzerhandbuch Smart Meter EM 214}, + url = {https://www.ewh.de/fileadmin/user_upload/Stromnetz/Zaehlerstaende/Produktbeschreibung_ITRON_EM214.pdf}, + note = {Accessed 2020-05-11} +} + +@online{hager01, + author = {{Hager Group}}, + year = {2017}, + title = {Hager Smart Meter EHZ363 Betriebsanleitung}, + url = {https://bnnetze.de/downloads/kunden/netzkunden/messstellenbetrieb-und-messung/funktionalitaet/hager-ehz363-betriebsanleitung.pdf}, + note = {Accessed 2020-05-11} +} + +@misc{vseaes01, + year = {2010}, + institution = {{Verband Schweizerischer Elektrizitätsunternehmen VSE}}, + title = {Branchenempfehlung Strommarkt Schweiz Handbuch Smart Metering CH}, + url = {https://web.archive.org/web/20130418034458if_/http://www.strom.ch:80/uploads/media/HBSM-CH_1018d_2010.pdf}, + note = {Accessed 2020-05-12} +} + +@article{geelen01, + author = {Daphne Geelen and Ruth Mugge and Sacha Silvester and Annemieke Bulters}, + year = {2019}, + doi = {10.1007/s12053-019-09777-z}, + issue = {12}, + journaltitle = {Energy Efficiency}, + title = {The use of apps to promote energy saving: a study of smartmeter–related feedback in the Netherlands} +} + +@online{bmwi03, + author = {{Bundesministerium für Wirtschaft und Energie} and {Ernst and Young}}, + year = {2013}, + title = {Kosten-Nutzen-Analyse für einen flächendeckenden Einsatz intelligenter Zähler}, + url = {https://www.bmwi.de/Redaktion/DE/Publikationen/Studien/kosten-nutzen-analyse-fuer-flaechendeckenden-einsatz-intelligenterzaehler.pdf}, + note = {Accessed 2020-05-12} +} + +@inproceedings{rodden01, + author = {Tom A. Rodden and Joel E. Fischer and Nadia Pantidi and Khaled Bachour and Stuart Moran}, + booktitle = {Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13}, + year = {2013}, + doi = {10.1145/2470654}, + title = {At Home with Agents: Exploring Attitudes Towards Future Smart Energy Infrastructures}, + year = {2013} +} + +@inproceedings{pierce01, + author = {James Pierce and Eric Paulos}, + booktitle = {CHI 2012}, + doi = {10.1145/2207676.2207771}, + subtitle = {interaction, energy, and emerging energy systems}, + title = {Beyond Energy Monitors: Interaction, Energy, and Emerging Energy Systems}, + year = {2012} +} + +@article{lupton01, + author = {Deborah Lupton}, + doi = {10.1080/03085147.2016.1143726}, + issn = {0308-5147}, + journaltitle = {Economy and Society}, + pages = {101–122}, + title = {The diverse domains of quantified selves: self-tracking modes and dataveillance}, + volume = {45}, + year = {2016} +} + +@inproceedings{costanza01, + author = {Enrico Costanza and Joel E. Fischer and James A. Colley and Tom Rodden and Sarvapali D. Ramchurn and Nicholas R. Jennings}, + booktitle = {CHI 2014, One of a CHInd}, + doi = {10.1145/2556288.2557167}, + subtitle = {a field trial of a future smart energy system in the home}, + title = {Doing the Laundry with Agents: a Field Trial of a Future SmartEnergy System in the Home}, + year = {2014} +} + +@article{fell01, + author = {Michael J. Fell and David Shipworth and Gesche M. Huebner and Clifford A. Elwell}, + doi = {10.1016/j.erss.2015.08.023}, + issn = {2214-6296}, + journaltitle = {Energy Research and Social Science}, + pages = {72–84}, + title = {Public acceptability of domestic demand-side response in Great Britain: The role of automation and direct load control}, + volume = {9}, + year = {2015} +} + +@online{silabs01, + author = {Vivek Mohan and {Silicon Labs}}, + year = {2015}, + title = {An Introduction to Wireless M-Bus}, + url = {http://pages.silabs.com/rs/634-SLU-379/images/introduction-to-wireless-mbus.pdf} +} + +@article{belega01, + author = {Daniel Belega and Dario Petri}, + doi = {10.1109/tim.2012.2236777}, + issn = {0018-9456}, + issue = {5}, + journaltitle = {IEEE Transactions on Instrumentation and Measurement}, + pages = {942–953}, + title = {Accuracy Analysis of the Multicycle Synchrophasor Estimator Provided by the Interpolated DFT Algorithm}, + volume = {62}, + year = {2013} +} + +@article{borkowski01, + author = {Jozef Borkowski and Dariusz Kania and Janusz Mroczka}, + doi = {10.1109/tie.2014.2316225}, + issn = {0278-0046}, + issue = {12}, + journaltitle = {IEEE Transactions on Industrial Electronics}, + pages = {7026–7034}, + title = {Interpolated-DFT-Based Fast and Accurate Frequency Estimation for the Control of Power}, + volume = {61}, + year = {2014} +} + +@misc{semerow01, + author = {Anatoli Semerow and Sebastian Hohn and Matthias Luther and Walter Sattinger and Hans Abildgaard and Agustin Diaz Garcia and Giorgio Giannuzzi}, + doi = {10.1109/ptc.2015.7232578}, + institution = {{University of Erlangen-Nuremberg} and ENTSO-E}, + title = {Dynamic Study Model for the interconnected power system of Continental Europe in different simulation tools}, + year = {2015} +} + +@online{entsoe05, + author = {ENTSO-E}, + year = {2019}, + title = {ENTSO-E Initial Dynamic Model of Continental Europe}, + url = {https://www.entsoe.eu/publications/system-operations-reports/#entso-e-initial-dynamic-model-of-continental-europe}, + note = {Accessed 2020-05-14} +} + +@inbook{brown01, + author = {Marilyn A. Brown and Shan Zhou}, + booktitle = {Advances in Energy Systems: The Large-scale Renewable Energy Integration Challenge}, + comment = {Extremely obvious industry pandering.}, + doi = {10.1002/9781119508311}, + edition = {First Ed.}, + publisher = {Wiley}, + subtitle = {The Large-scale Renewable Energy Integration Challenge}, + title = {Smart‐Grid Policies: An International Review}, + year = {2019} +} + +@online{kamstrup01-2, + author = {{Kamstrup A/S}}, + year = {2018}, + title = {STS prepayment meter}, + url = {https://www.kamstrup.com/en-en/electricity-solutions/smart-electricity-meters/sts-prepayment-meter}, + note = {Accessed 2020-05-18} +} + +@book{sato01, + author = {Takuro Sato and Daniel M. Kammen and Bin Duan and Martin Macuha and Zhenyu Zhou and Jun Wu and Muhammad Tariq and Solomon Abebe Asfaw}, + year = {2015}, + publisher = {Wiley}, + subtitle = {Specifications, Requirements and Technologies}, + title = {Smart Grid Standards} +} + +@misc{ec03, + year = {2014}, + author = {{European Commission}}, + title = {Single Market Progress Report: Country Profiles – Italy}, + type = {resreport}, + url = {https://ec.europa.eu/energy/sites/ener/files/documents/2014_countryreports_italy.pdf}, + note = {Accessed 2020-05-18} +} + +@misc{usitc01, + author = {Lisa Alejandro and Caitlin Blair and Laura Bloodgood and Mahnaz Khan and Martha Lawless and Daniel Meehan and Patrick Schneider and Karl Tsuji}, + year = {2014}, + institution = {U.S. International Trade Commission}, + subtitle = {Government Policies Driving Strong Growth}, + title = {Global Market for Smart Electricity Meters}, + type = {resreport}, + url = {https://www.usitc.gov/publications/332/id-037smart_meters_final.pdf}, + note = {Accessed 2020-05-18} +} + +@misc{toshiba01, + author = {Mitsuhide Ishima and Kiyoyuki Terai and Yoshihiro Ogita}, + year = {2018}, + institution = {Toshiba Energy Systems and Solutions}, + issue = {4}, + journaltitle = {Toshiba Review}, + pages = {46–50}, + title = {Construction and Operation of Communication System for Smart Meter System of TEPCO Power Grid, Inc.}, + url = {https://www.toshiba.co.jp/tech/review/2018/04/73_04pdf/f02.pdf}, + note = {Accessed 2020-05-18}, + volume = {73} +} + +@misc{ukgov01, + author = {{UK Department for Business, Energy and Industrial Strategy}}, + year = {2018}, + institution = {UK Department for Business, Energy and Industrial Strategy}, + title = {Smart Metering Implementation Programme Progress Report for 2018}, + url = {https://www.gov.uk/government/publications/smart-metering-implementation-programme-progress-report-2018}, + note = {Accessed 2020-05-18} +} + +@misc{ukgov02, + author = {{UK Department of Energy and Climate Change}}, + year = {2014}, + title = {Smart Metering Implementation Programme: Smart Metering Equipment Technical Specifications}, + url = {https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/381535/SMIP_E2E_SMETS2.pdf}, + note = {Accessed 2020-05-18}, + version = {1.58} +} + +@misc{ukgov03, + author = {{UK Department for Business, Energy and Industrial Strategy}}, + year = {2016}, + institution = {UK Department for Business, Energy and Industrial Strategy}, + title = {Smart Meter Rollout Cost-Benefit Analysis Part I}, + url = {https://ec.europa.eu/growth/tools-databases/tris/cs/index.cfm/search/?trisaction=search.detail&year=2017&num=350&iLang=EN}, + note = {Accessed 2020-05-18} +} + +@thesis{mahlknecht01, + author = {Peter Mahlknecht}, + year = {2014}, + institution = {Technische Universität Wien}, + title = {Diplomarbeit Sicherheitsmodul für ein Smart Metering Gateway}, + url = {https://publik.tuwien.ac.at/files/PubDat_233035.pdf}, + note = {Accessed 2020-05-18} +} + +@online{delaw01, + year = {2019}, + title = {Stromgrundversorgungsverordnung StromGVV § 19 Unterbrechung der Versorgung}, + url = {http://www.gesetze-im-internet.de/stromgvv/__19.html}, + note = {Accessed 2020-05-18} +} + +@article{cuijpers01, + author = {Colette Cuijpers and Bert-Jaap Koops}, + year = {2012}, + doi = {10.1007/978-94-007-5170-5_12}, + journalsubtitle = {Coming of age}, + journaltitle = {European data protection}, + pages = {269–293}, + title = {Smart metering and privacy in Europe: lessons from the Dutch case} +} + +@online{ec04, + year = {2012}, + editor = {{The European Commission}}, + title = {The Energy Efficiency Directive}, + url = {https://ec.europa.eu/energy/topics/energy-efficiency/targets-directive-and-rules/energy-efficiency-directive_en}, + note = {Accessed 2020-05-18} +} + +@article{aubel01, + author = {Pol Van Aubel and Erik Poll}, + year = {2019}, + doi = {10.1016/j.ijepes.2019.01.001}, + issn = {0142-0615}, + journaltitle = {International Journal of Electrical Power and Energy Systems}, + pages = {719–725}, + title = {Smart metering in the Netherlands: what, how and why}, + volume = {109} +} + +@misc{dsmrp3, + year = {2014}, + institution = {Netbeheer Nederland WG DSMR}, + title = {Dutch Smart Meter Requirements P3 Companion Standard}, + url = {https://www.netbeheernederland.nl/_upload/Files/Slimme_meter_15_1f3c5c9b2c.pdf}, + note = {Accessed 2020-05-18}, + version = {4.0.7} +} + +@misc{dsmrp1, + year = {2016}, + institution = {Netbeheer Nederland WG DSMR}, + title = {Dutch Smart Meter Requirements P1 Companion Standard}, + url = {https://smarty.creos.net/wp-content/uploads/DutchSmartMeterRequirements.pdf}, + note = {Accessed 2020-05-18}, + version = {5.0.2} +} + +@inproceedings{anderson01, + author = {Ross Anderson and Shailendra Fuloria}, + booktitle = {2010 First IEEE International Conference on Smart Grid Communications}, + year = {2010}, + doi = {10.1109/SMARTGRID.2010.5622026}, + location = 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+@book{merz01, + address = {Berlin [u.a.]}, + author = {Hermann Merz and Thomas Hansemann and Christof Hübner}, + isbn = {9783540888284}, + pagetotal = {X, 282}, + ppn_gvk = {584030762}, + publisher = {Springer}, + series = {Springer series on signals and communication technology}, + subtitle = {Communication systems with EIB/KNX, LON, and BACnet}, + title = {Building automation}, + year = {2009} +} + +@article{markham01, + address = {New York, NY}, + author = {Andrés Molina-Markham and Prashant Shenoy and Kevin Fu and Emmanuel Cecchet and David Irwin}, + year = {2010}, + isbn = {9781450304580}, + journaltitle = {Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building}, + note = {Title from The ACM Digital Library}, + pagetotal = {Online-Ressource (93 pages)}, + ppn_gvk = {772463654}, + publisher = {ACM}, + title = {Private Memoirs of a Smart Meter}, + url = {https://dl.acm.org/doi/pdf/10.1145/1878431.1878446}, + year = {2010} +} + +@article{greveler01, + author = {Ulrich Greveler and Peter Glösekötter and Benjamin Justus and Dennis Loehr}, + year = {2012}, + journaltitle = {Computers, Privacy and Data Protection}, + title = {Multimedia Content Identification Through SmartMeter Power Usage Profiles} +} + +@book{zuboff01, + author = {Shoshana Zuboff}, + year = {2019}, + title = {The Age of Surveillance Capitalism} +} + +@online{bmwi04, + author = {{Bundesministerium für Wirtschaft und Energie}}, + year = {2020}, + title = {Häufig gestellte Fragen rund um Smart Meter}, + url = {https://www.bmwi.de/Redaktion/DE/FAQ/Smart-Meter/faq-smart-meter.html}, + note = {Accessed 2020-05-20} +} + +@inbook{stuber01, + author = {Michael Stuber}, + booktitle = {Smart Grid Handbook}, + year = {2016}, + doi = {10.1002/9781118755471.sgd036}, + pages = {1–14}, + title = {Standards, Security, and Smart Meters} +} + +@thesis{weith01, + author = {Loren Weith}, + year = {2014}, + institution = {Department of Mathematics and Computer Science, Eindhoven University of Technology}, + title = {DLMS / COSEM Protocol Security Evaluation}, + type = {mathesis}, + url = {https://pure.tue.nl/ws/files/46962657/773263-1.pdf}, + note = {Accessed 2020-05-20} +} + +@book{salus01, + author = {Peter H. 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J. {Bezuidenhoudt}}, + doi = {10.1109/32.502222}, + journal = {IEEE Transactions on Software Engineering}, + number = {5}, + pages = {294–301}, + title = {On the reliability of electronic payment systems}, + volume = {22}, + year = {1996} +} + +@misc{ukgov04, + author = {{UK Department for Business Energy and Industrial Strategy}}, + year = {2019}, + title = {Smart Meter Statistics Quarterly Report to end March 2019}, + url = {https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/804767/2019_Q1_Smart_Meters_Report.pdf}, + note = {Accessed 2020-05-26} +} + +@misc{bnetza02, + author = {{German Government Bundesnetzagentur}}, + year = {2018}, + title = {Monitoring Report 2018}, + url = {https://www.bundesnetzagentur.de/SharedDocs/Downloads/EN/BNetzA/PressSection/ReportsPublications/2019/MonitoringReport2019.pdf}, + note = {Accessed 2020-05-26} +} + +@article{borkar01, + author = {Shekhar Borkar}, + journal = {Ieee Micro}, + journaltitle = {IEEE Micro}, + number = {6}, + pages = {10–16}, + publisher = {IEEE}, + title = {Designing reliable systems from unreliable components: the challenges of transistor variability and degradation}, + volume = {25}, + year = {2005} +} + +@article{hahn01, + author = {Adam Hahn and Manimaran Govindarasu}, + year = {2011}, + doi = {10.1109/TSG.2011.2163829}, + journaltitle = {IEEE Transactions on Smart Grid}, + pages = {835–843}, + title = {Cyber Attack Exposure Evaluation Framework for the Smart Grid} +} + +@inproceedings{temple01, + author = {William G. 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Vincent Poor}, + booktitle = {27th USENIX Security Symposium (USENIX Security 18)}, + isbn = {978-1-939133-04-5}, + month = {aug}, + publisher = {USENIX}, + title = {BlackIoT: IoT Botnet of High Wattage Devices Can Disrupt the Power Grid}, + url = {https://www.usenix.org/conference/usenixsecurity18/presentation/soltan}, + x-color = {#cc3300}, + year = {2018} +} + +@inproceedings{hcb19, + author = {Bing Huang and Alvaro A. Cardenas and Ross Baldick}, + booktitle = {28th USENIX Security Symposium}, + isbn = {978-1-939133-06-9}, + month = {aug}, + publisher = {USENIX}, + title = {Not Everything is Dark and Gloomy: Power Grid Protections Against IoT Demand Attacks}, + url = {https://www.usenix.org/conference/usenixsecurity19/presentation/huang}, + x-color = {#cc3300}, + year = {2019} +} + +@inproceedings{mpdm+10, + author = {Stephen McLaughlin and Dmitry Podkuiko and Adam Delozier and Sergei Miadzvezhanka and Patrick McDaniel}, + booktitle = {5th USENIX Workshop on Hot Topics in Security (HotSec 10)}, + month = {aug}, + publisher = {USENIX}, + title = {Embedded Firmware Diversity for Smart Electric Meters}, + url = {https://www.usenix.org/conference/hotsec10/embedded-firmware-diversity-smart-electric-meters}, + year = {2010} +} + +@inproceedings{lzlw+20, + author = {Kang-Di Lu and Guo-Qiang Zeng and Xizhao Luo and Jian Weng and Yue Zhang and Ming Li}, + booktitle = {IEEE Transactions on Vehicular Technology}, + doi = {10.1109/TVT.2020.2983565}, + month = {may}, + publisher = {IEEE}, + title = {An Adaptive Resilient Load Frequency Controller for Smart Grids With DoS Attacks}, + year = {2020} +} + +@inproceedings{chl20, + author = {D. Jonathan Sebastian Cardenas and Adam Hahn and Chen-Ching Liu}, + booktitle = {IEEE Access}, + doi = {10.1109/ACCESS.2020.2983313}, + month = {mar}, + publisher = {IEEE}, + title = {Assessing Cyber-Physical Risks of IoT-Based Energy Devices in Grid Operations}, + year = {2020} +} + +@inproceedings{lam21, + author = {Subhash Lakshminarayana and Sondipon Adhikari and Carsten Maple}, + booktitle = {IEEE Transactions on Smart Grid}, + number = {5}, + publisher = {IEEE}, + title = {Analysis of IoT-Based Load Altering Attacks Against Power Grids Using the Theory of Second-Order Dynamical Systems}, + url = {https://doi.org/10.1109/TSG.2021.3070313}, + volume = {12}, + year = {2021} +} + +@article{olkd20, + author = {Juan Ospina and Xiaorui Liu and Charalambos Konstantinou and Yury Dvorkin}, + booktitle = {IEEE Access}, + doi = {10.1109/ACCESS.2020.3047374}, + month = {dec}, + publisher = {IEEE}, + title = {On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic}, + year = {2020} +} + +@inproceedings{zb20, + author = {Koen Zandberg and Emmanuel Baccelli}, + booktitle = {9th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)}, + month = {dec}, + publisher = {IEEE}, + title = {Minimal Virtual Machines on IoT Microcontrollers: The Case of Berkeley Packet Filters with rBPF}, + url = {https://doi.org/10.23919/PEMWN50727.2020.9293081}, + year = {2020} +} + +@article{yomu+20, + author = {Masaaki Yamauchi and Yuichi Ohsita and Masayuki Murata and Kensuke Ueda and Yoshiaki Kato}, + booktitle = {IEEE Transactions on Consumer Electronics}, + doi = {10.1109/TCE.2020.2981636}, + month = {may}, + number = {2}, + title = {Anomaly Detection in Smart Home Operation From User Behaviors and Home Conditions}, + volume = {66}, + year = {2020} +} + +@book{wcje+12, + author = {B. M. Weedy and B. J. Cory and N. Jenkins and Janaka B. Ekanayake and Goran Strbac}, + edition = {5th edition}, + isbn = {978-0-470-68268-5}, + month = {aug}, + publisher = {Wiley}, + title = {Electric Power Systems}, + url = {https://www.wiley.com/en-sg/Electric+Power+Systems%2C+5th+Edition-p-9780470682685}, + year = {2012} +} + +@article{nbck+19, + author = {Nataliia Neshenko and Elias Bou-Harb and Jorge Crichigno and Georges Kaddoum and Nasir Ghani}, + booktitle = {IEEE Communications Surveys \& Tutorials}, + doi = {10.1109/COMST.2019.2910750}, + number = {3}, + title = {Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations}, + volume = {21}, + year = {2019} +} + +@article{acsc20, + author = {Tejasvi Alladi and Vinay Chamola and Biplab Sikdar and Kim-Kwang Raymond Choo}, + booktitle = {IEEE Consumer Electronics magazine}, + month = {mar}, + number = {2}, + publisher = {IEEE}, + title = {Consumer IoT: Security Vulnerability Case Studies and Solutions}, + url = {https://doi.org/10.1109/MCE.2019.2953740}, + volume = {9}, + year = {2020} +} + +@book{ykll17, + editor = {Hiroto Yasuura and Chong-Min Kyung and Yongpan Liu and Youn-Long Lin}, + isbn = {978-3-319-55344-3}, + publisher = {Springer}, + title = {Smart Sensors at the IoT Frontier}, + url = {https://doi.org/10.1007/978-3-319-55345-0}, + year = {2017} +} + +@article{rs48, + author = {T. W. Ross and R. M. A. Smith}, + booktitle = {Journal of the Institution of Electrical Engineers - Part II: Power Engineering}, + month = {oct}, + publisher = {IEEE}, + title = {Centralized Ripple Control on High-Voltage Networks}, + url = {https://doi.org/10.1049%2Fji-2.1948.0126}, + year = {1948} +} + +@techreport{agf16, + author = {Nikoleta Andreadou and Miguel Olariaga Guardiola and Gianluca Fulli}, + booktitle = {MDPI Energies}, + doi = {10.3390/en9050375}, + number = {9}, + publisher = {MDPI}, + title = {Telecommunication Technologies for Smart Grid Projects with Focus on Smart Metering Applications}, + year = {2016} +} + diff --git a/paper/safety-reset-paper.tex b/paper/safety-reset-paper.tex new file mode 100644 index 0000000..4015f46 --- /dev/null +++ b/paper/safety-reset-paper.tex @@ -0,0 +1,962 @@ +\documentclass[sigconf]{acmart} + +\usepackage[binary-units]{siunitx} +\DeclareSIUnit{\baud}{Bd} +\DeclareSIUnit{\year}{a} +\usepackage{graphicx,color} +\usepackage{subcaption} +\usepackage{array} +\usepackage{hyperref} +\usepackage{enumitem} + +\renewcommand{\floatpagefraction}{.8} +\newcommand{\degree}{\ensuremath{^\circ}} +\newcolumntype{P}[1]{>{\centering\arraybackslash}p{#1}} +\newcommand{\partnum}[1]{\texttt{#1}} + +% https://eepublicdownloads.entsoe.eu/clean-documents/pre2015/publications/entsoe/Operation_Handbook/Policy_1_Appendix%20_final.pdf + +\copyrightyear{2022} +\acmYear{2022} +\setcopyright{rightsretained} +\acmConference[ACSAC]{Annual Computer Security Applications Conference}{December 5--9, 2022}{Austin, TX, USA} +\acmBooktitle{Annual Computer Security Applications Conference (ACSAC), December 5--9, 2022, Austin, TX, USA} +\acmDOI{10.1145/3564625.3564640} +\acmISBN{978-1-4503-9759-9/22/12} + +\begin{document} + +\acmConference[ACSAC '22]{Annual Computer Security Applications +Conference}{December 5--9}{Austin, TX, USA} + +\title{ + Ripples in the Pond: Transmitting Information through Grid Frequency Modulation +} + +\author{Jan Sebastian Götte} +\affiliation{ + \institution{Technische Universität Darmstadt} + \city{Darmstadt} + cp ../safety-reset-paper.pdf pdf/ + cp ../safety-reset-paper.pdf pdf/ + \country{Germany} +} +\email{research@jaseg.de} + +\author{Liran Katzir} +\affiliation{ + \institution{Tel Aviv University} + \city{Tel Aviv} + \country{Israel} +} +\email{lirankatzir@tau.ac.il} + +\author{Björn Scheuermann} +\affiliation{ + \institution{Technische Universität Darmstadt} + \city{Darmstadt} + \country{Germany} +} +\email{scheuermann@kom.tu-darmstadt.de} + +\renewcommand{\shortauthors}{Götte, Katzir and Scheuermann} +\begin{CCSXML} + + +10010583.10010662.10010668.10010671 +Hardware~Power networks +500 + + +10010583.10010662.10010668.10010672 +Hardware~Smart grid +300 + + +10010583.10010750.10010769 +Hardware~Safety critical systems +500 + + +10010520.10010553.10010562.10010561 +Computer systems organization~Firmware +300 + + +10010520.10010553.10010562.10010563 +Computer systems organization~Embedded hardware +300 + + +10002978.10003001.10003003 +Security and privacy~Embedded systems security +500 + + +\end{CCSXML} + +\keywords{Grid Frequency Modulation, Direct Sequence Spread Spectrum, Incident Response, Cyber-Physical Systems, Power +Networks, Smart Grid, Embedded Systems Security} + +\begin{abstract} + The growing heterogenous ecosystem of networked consumer devices such as smart meters or IoT-connected appliances + such as air conditioners is difficult to secure, unlike the utility side of the grid which can be defended + effectively through rigorous IT security measures such as isolated control networks. In this paper, we consider a + crisis scenario in which an attacker compromises a large number of consumer-side devices and modulates their + electrical power to destabilize the grid and cause an electrical + outage~\cite{ctap+11,wu01,zlmz+21,kgma21,smp18,hcb19}. + + In this paper propose a broadcast channel based on the modulation of grid frequency through which utility operators + can issue commands to devices at the consumer premises both during an attack for mitigation and in its wake to aid + recovery. Our proposed grid frequency modulation (GFM) channel is independent of other telecommunication networks. + It is resilient towards localized blackouts and it is operational immediately after power is restored. + + Based on our GFM broadcast channel we propose a ``safety reset'' system to mitigate an ongoing attack by disabling a + device's network interfaces and resetting its control functions. It can also be used in the wake of an attack to aid + recovery by shutting down non-essential loads to reduce strain on the grid. + + To validate our proposed design, we conducted simulations based on measured grid frequency behavior. Based on these + simulations, we performed an experimental validation on simulated grid voltage waveforms using a smart meter + equipped with a prototype safety reset system based on a commodity microcontroller. +\end{abstract} + +\maketitle + +\section{Introduction} + +With the rollout of the smart grid, the IT security of electrical infrastructure has attracted increased attention in +the last years. Smart Grid security has two major components: The security of central SCADA systems, and the security +of equipment at the consumer premises such as smart meters and IoT devices. While there is previous work on both sides, +their interactions have not yet received much attention. + +We consider the previously proposed scenario where a large number of compromised consumer devices is used alone or in +conjunction with an attack on the grid's central SCADA systems to destabilize the grid by rapidly modulating the total +connected load~\cite{ctap+11,wu01,zlmz+21,kgma21,smp18,hcb19}. Several devices have been identified as likely targets +for such an attack including smart meters with integrated remote disconnect switches~\cite{ctap+11,anderson01}, large +IoT-connected appliances~\cite{smp18,hcb19,chl20,olkd20} and electric vehicle chargers~\cite{kgma21,zlmz+21,olkd20}. +Such attacks are hard to mitigate, and existing literature focuses on hardening grid control +systems~\cite{kgma21,lzlw+20,lam21,zlmz+21} and device firmware\cite{mpdm+10,smp18,zb20,yomu+20} to prevent compromise. +Despite the infeasibility of perfect firmware security, there is little research on \emph{post-compromise} mitigation +approaches. A core issue with post-attack mitigation is that network connections such as internet and cellular networks +between the utility and devices on consumer premises may not work due to the attack. Thus, mitigation strategies that +involve devices on the consumer premises will need an out-of-band communication channel. + +In this paper, we propose a novel, resilient, grid-wide communication technique based on \emph{grid frequency +modulation} (GFM) that can be used to broadcast short messages to all devices connected to the electrical grid. The grid +frequency modulation channel is robust and can be used even during an ongoing attack. Based on our channel we propose +the \emph{safety reset} controller, an attack mitigation technique that is compatible with most smart meter and IoT +device designs. A safety reset controller is a separate controller integrated with the device that awaits an out-of-band +reset command transmitted through GFM. Upon reception of the reset command, it puts the device into a safe state (e.g. +\emph{heater off} or \emph{light on}) that interrupts attacker control over the device. To reduce attack surface and +cost, the safety reset controller is separated from the system's main application controller and does not have any +conventional network interfaces. + +The grid frequency modulation channel can be operated by transmission system operators (TSOs) even during black-start +recovery procedures and it bridges the gap between the TSO's private control network and consumer devices that can not +economically be equipped with other resilient communication techniques such as satellite transceivers. To demonstrate +our proposed channel, we have implemented a system that transmits error-corrected and cryptographically secured commands +through an emulated grid frequency-modulated voltage waveform to an off-the-shelf smart meter equipped with a prototype +safety reset controller based on a small off-the-shelf microcontroller. + +The frequency behavior of the electrical grid can be analyzed by examining the grid as a large collection of mechanical +oscillators coupled through the grid via the electromotive force~\cite{rogers01,wcje+12}. The generators and motors that +are electromagnetically coupled through the grid's transmission lines and transformers run synchronously with each +other, with only minor localized variations in their rotation angle. The dynamic behavior of grid frequency is a direct +product of this electromechanical coupling: With increasing load, frequency drops because turbines move slower under +higher torque, and consequentially with decreasing load frequency rises. Industrial control systems keep frequency close +to its nominal value over time spans of minutes or hours, but over shorter time spans the combined inertia of all +grid-connected generators and motors is what regulates frequency. + +Grid frequency modulation works by quickly modulating the power of a large, grid-connected load or generator. When this +modulation is at low amplitude and high frequency, it is below the thresholds set for the grid's automated control +systems and monitoring systems and it will directly affect frequency according to the grid's inertia. GFM differs from +traditional Powerline Communication (PLC) systems in that it works at much lower frequencies, it directly modulates the +grid's fundamental frequency instead of superimposing an additional signal on top of it, and by nature it reaches every +device within one synchronous area as the signal is embedded into the fundamental grid frequency. Traditional PLC uses a +superimposed voltage, which is quickly attenuated across long distances. Practically speaking, using GFM a single large +transmitter can cover an entire synchronous area, while in traditional PLC hundreds or thousands of smaller transmitters +would be necessary. Unlike traditional PLC, any large industrial load that allows for fast computer control with slew +rates in the order of several percent of total load per second can act as a GFM transmitter with minimal or no hardware +modifications. + +\begin{figure} + \centering + \includegraphics[width=0.45\textwidth]{flowchart} + \caption{Structural overview of our concept. 1 - Government authority or utility operations center. 2 - Emergency + radio link. 3 - Aluminium smelter. 4 - Electrical grid. 5 - Target smart meter.} + \Description{A schematic overview of the safety reset system with its parts represented by icons. A signal is sent + from a radio tower next to a government building to a radio tower next to a factory. The factory forwards this + signal to the electrical grid, where it is transmitted through a series of transformers to a smart meter at a + residential building.} + \label{fig_intro_flowchart} +\end{figure} + +Figure~\ref{fig_intro_flowchart} shows an overview of our concept using a smart meter as the target device and a large +aluminium smelter temporarily re-purposed as a GFM transmitter. Two scenarios for its application are before or during +a cyber attack, to stop an attack on the electrical grid in its tracks, and after an attack while power is being +restored to prevent a repeated attack. In both scenarios, our concept is independent of telecommunication networks (such +as the internet or cellular networks) as well as broadcast systems (such as cable television or terrestrial broadcast +radio) while requiring only inexpensive signal processing hardware and no external antennas (such as are needed for +satellite communication). A grid frequency-based system can function as long as power is still available, or as soon as +power is restored after the attack. One powerful function this allows is ``flushing out`` an attacker from compromised +smart meters after an attack, before restoring smart meter internet connectivity. + +Using simulations we have determined that control of a $\SI{25}{\mega\watt}$ load such as a large aluminium smelter, +load bank or photovoltaic farm would allow for the transmission of a cryptographically secured safety reset signal +within $15$ minutes. We have designed and constructed a proof-of-concept prototype receiver that demonstrates the +feasibility of decoding such signals on a resource-constrained microcontroller. + +\subsection{Motivation} + +Consumer devices are increasingly becoming \emph{smart}. Large numbers of IoT devices are connected through the public +internet, and in several countries internet-connected Smart Meters can disconnect entire households from the grid in +case of unpaid bills~\cite{anderson01}. The increasing proliferation of smart devices on the consumer side presents an +opportunity to grid operators, who rely on forecasts for the cost-optimized control of generation and power flow. The +core of the \emph{Smart Grid} vision is that utilities can now gather detailed data for more accurate consumption +forecasts, and in some cases can even adjust parameters of large devices like water heaters to smooth out load spikes. + +However, this increased degree of visibility and control comes with an increased IT security risk. In this paper we +focus on scenarios where an attacker compromises a large number of grid-connected remote-controllable devices. This may +be simple smart home devices such as IoT-connected air conditioners, but it may also include Smart Meters that are +outfitted with a remote disconnect switch as is common in some countries. By rapidly switching large numbers of such +devices in a coordinated manner, the attacker has the opportunity to de-stabilize the electrical +grid~\cite{zlmz+21,kgma21,smp18,hcb19}. + +In this paper, we focus on assisting the recovery procedure after a successful attack because we estimate that this +approach will yield a better return of investment in overall grid stability versus resources spent on security +measures compared to bug hunting in device firmware. Previous work on IoT and Smart Grid security has focused on the +prevention of attacks though firmware security measures. While research on prevention is important, we estimate that its +practical impact will be limited by the diversity of implementations found in the field~\cite{nbck+19,zlmz+21,smp18}. We +predict that it would be a Sisyphean task to secure the firmware of a number of devices devices sufficient to deny an +attacker the critical mass needed to cause trouble. Even if all flaws in the firmware of a broad range of devices would +be fixed, users still have to update. In smart grid and IoT devices, this presents a difficult problem since user +awareness is low~\cite{nbck+19}. + +\subsection{Attacker model} + +According to the above criteria, our attacker model has the following key features: + +\begin{itemize} + \item The attacker cannot compromise the utility operators' SCADA systems. + \item The attacker can compromise and subsequently control a large number of target devices at the customer's + premises such as smart meters or large IoT devices such as air conditioners or central heating systems. + \item Devices that may become targets of attacks can be designed to include a separate firmware and factory reset + function that the attacker cannot circumvent. In the simplest case, this could be a separate microcontroller + that is connected to an in-system programming interface of the device's application processor. +\end{itemize} + +\subsection{Contents} + +Starting from a high level architecture, we have carried out simulations of our concept's performance under real-world +conditions using measured grid frequency data. Based on these simulations we implemented an end-to-end prototype of our +proposed safety reset controller as part of a realistic smart meter demonstrator. Finally, we experimentally validated +our results based on a simulated mains voltage signal and we will conclude with an outline of further steps towards a +practical implementation. + +This work contains the following contributions: +\begin{enumerate}[topsep=4pt] + \item We introduce Grid Frequency Modulation (GFM) as a communication primitive. % FIXME done before in that one paper + \item We elaborate the fundamental physics underlying GFM and theorize on the constrains of a practical + implementation. + \item We design a communication system based on GFM. + \item We carry out extensive simulations of our systems to determine its performance characteristics. +\end{enumerate} + +%\subsection{Notation} +% FIXME drop or rework this section ; actually update notation to be consistent throughout +%To a computer scientist there is one confusing aspect to the theory of grid frequency modulation. GFM can be seen as a +%frequency modulation (FM) with a baseband signal in the band below approximately $f_m = \SI{5}{\hertz}$ that is +%modulated on top of a carrier signal at $f_c = \SI{50}{\hertz}$ in case of the European electrical grid. The frequency +%deviation $f_\Delta$ that the modulated carrier deviates from its nominal value of $f_m$ is very small at only a few +%milli-Hertz. +% +%When grid frequency is measured by first digitizing the mains voltage waveform, then de-modulating digitally, the FM's +%signal-to-noise ratio (SNR) is very high and is dominated by the ADC's quantization noise and nearby mains voltage noise +%sources such as resistive droop due to large inrush current of nearby machines. +% +%Note that both the carrier signal at $f_c$ and the modulation signal at $f_m$ both have unit Hertz. To disambiguate +%them, in this paper we will use \textbf{bold} letters to refer to the carrier waveform $\mathbf{U}$ or frequency +%$\mathbf{f_c}$ as well as its deviation $\mathbf{f_\Delta}$, and we will use normal weight for the actual modulation +%signal and its properties such as $f_m$. + +\section{Background on the electrical grid} +\subsection{Components and interactions} + +The electrical grid transmits electrical power from generators to loads through alternating current. Any device that is +connected to the grid must run \emph{synchronous} with the grid, i.e.\ it must produce or consume power following the +grid's voltage waveform. In generators and motors, the electromotive force acts to synchronize the device with the grid. +Connecting a generator that has not been synchronized to the grid leads to large currents flowing through the +generator's windings, inducing extreme forces that can mechanically destroy the generator. Similarly, if the inverters +of a solar power station would try to fight the grid, the grid would win and the inverters' power semiconductors would +release their magic smoke. + +Originally, all power sources on the grid were synchronous rotating generators. Today, the shift towards renewable +energy and the introduction of high-voltage DC links has led to some of the grid's generating capacity being replaced +with inverters that electronically emulate the grid's voltage waveform to efficiently convert a DC input to the grid's +alternating current. + +The generators and loads on the grid are linked through a complex network of transmission lines. Transformers are used +to couple between transmission lines operating at different voltage levels, and several types of switches allow +utilities to steer power flow throughout this network. Through the electromotive force, all synchronous generators +connected to the grid are electromechanically coupled. Transmission lines introduce a (small) phase delay to the +electric fields traversing the grid, but besides local differences in phase, all parts of the grid are synchronous. + +\subsection{Grid frequency behavior} + +On the electrical grid, generation and consumption of energy must be precisely matched at all times for the grid to stay +at a constant, synchronous frequency. If generation outpaces consumption, generators would provide less mechanical +resistance to their source of mechanical power, or \emph{prime mover}, which would lead the generators to spin faster +and faster. Similarly, if consumption outpaced production, the increased mechanical load would slow down generators, +ultimately leading to a collapse. + +In day-to-day operation, the frequency of the electrical grid is maintained at a fixed, stable level through several +layers of control systems on top of the grid's inherent mechanical inertia. Fast-acting automatic primary control +stabilizes temporary frequency excursions, while slower automatic secondary control and manual tertiary control +re-adjust device's operating points back to their nominal values after they have shifted due to primary control action. + +\subsection{Black-start recovery} + +To function, the grid relies on a delicate balance between electricity generation, transmission and consumption. When +this balance is disturbed, cascading failures can occur and because this balance must be kept in balance at all times, +the recovery from a large-scale power outage is a complex operational challenge. Since all consumers and producers that +are connected to the electrical grid are physically coupled through the electromotive force, a fault in one part of the +grid affects all devices connected across the grid. A transmission line shutting off can lead other, nearby lines to +overload and shut off, and a generator or consumer suddenly shutting off causes a transient in the grid's frequency. If +the frequency goes too far out of bounds, protection devices take power plants and large industrial loads offline. + +The recovery from a large-scale outage requires the grid's operators to bring generators and loads back online one by +one while continuously maintaining balance between generation and consumption to avoid their protection devices shutting +them down again. To coordinate this process, transmission system operators cannot rely on the public internet or +cellular networks, as they may not work during a large-scale power outage. Instead, they maintain private communication +infrastructure using dedicated lines rented from telecommunication providers, fibers run along transmission lines, and +dedicated radio links. + +To start from a complete outage, first a number of \emph{black start}-capable power stations that can start by +themselves without any external power are brought online. With their help, other power stations and consumers are +gradually brought online until a part of the grid has been restored to nominal operation. This process can be performed +simultaneously in different parts of the grid. After these \emph{islands} have been restored, they can then be +synchronized and re-joined to restore the grid to its normal state. + +\subsection{Demand-side response and Smart Metering} + +Maintaining the balance between electricity generation and consumption under varying load conditions is critical. +Utilities can access different energy sources, each of which have their own trade-off in response speed versus energy +cost. For instance, the availability of wind and solar power cannot be controlled at all, while hydroelectric power +plants can quickly regulate the speed and power output of their turbines. Combined with the complex layout of the grid's +infrastructure such as transmission lines, these economical factors lead to a complex optimization problem, the quality +of whose solution directly manifests itself in the utility's bottom line. + +For decades, one solution to this issue has been demand-side response (DSR)~\cite{rs48}. In DSR, large loads such as +water heaters are centrally controlled by the utility to switch on outside of peak demand. Since the precise timing of +these loads is of no consequence to their user, users are happy to get slightly better prices from their utility while +utilities gain a degree of control allowing them to optimize their network's performance. As part of the smart grid +vision, DSR will be utilized in a larger fraction of consumer devices. + +A core component of the smart grid is the rollout of ``Advanced Metering Infrastructure'' (AMI), colloquially known as +smart meters. Smart meters are electricity meters that use a real-time communication interface to automatically transmit +high-resolution measurements to the utility. In contrast to the yearly reading schedule of traditional electricity +meters, smart meters can provide near-realtime data that the utility can use for more accurate load forecasting. + +\subsection{Powerline Communication (PLC)} + +A core issue in smart metering and demand-side response is the communication channel from the meter to the greater +world. Smart meters are cost-constrained devices, which limits the use of landline internet or cellular connections. +Additionally, electricity meters are often installed in basements, far away from the customer's router and with soil and +concrete blocking radio signals. For these reasons, in some AMI deployments, powerline communication (PLC) has been +chosen for the meters' uplink. + +Since the early days of the electrical grid, powerline communication has been used to control devices spread throughout +the grid from a central transmitter~\cite{rs48}. PLC systems super-impose a modulated higher-frequency signal on top of +the grid voltage. When the carrier frequency of this modulation is in the audible frequency range, low data +rates can be transmitted over distances of several tens of kilometers. By using a radio frequency carrier, higher data +rates can be achieved across shorter distances\cite{pvyh03}. Audio frequency PLC, called ``ripple control'', is still +used today by utilities for demand-side response, remote-controlling special water heaters to avoid times of +peak electricity demand. + +Powerline communication systems are usually uni-directional, but there are instances of bi-directional powerline +communication for smart meter reading~\cite{ec03,rs48,gungor01,agf16}. + +\section{Related work} +\label{sec_related_work} + +The security of IoT devices as well as the smart grid has received extensive attention in the +literature~\cite{nbck+19,acsc20,smp18,ykll17,anderson01,anderson02,zlmz+21,kgma21,hcb19,mpdm+10,lzlw+20,chl20,lam21,olkd20,yomu+20}. +The challenges of IoT device security and the security of smart meters and other smart grid devices are similar because +smart grid devices are essentially IoT devices in a particularly sensitive location~\cite{zheng01,ifixit01,acsc20}. In +both device types, the challenge is that securing embedded firmware is difficult, and adding network interfaces and cost +constraints only makes the task harder. + +In some countries, smart meters can have a built-in off-switch that is used to disconnect customers who do not pay their +electricity bill. An attack scenario in which the attacker compromises a large number of such meters has been discussed +by Anderson and Fuloria in~\cite{anderson01}. In meters that do not have such a switch, an attacker can still use their +access to manipulate the meter's energy accounting, leading to financial impact on the utility operating the meter. This +scenario has received research attention~\cite{anderson02,mcdaniel01} and comes with the most direct industry +incentives. + +In~\cite{smp18}, Soltan, Mittal and Poor investigated an attack scenario where an attacker first gains control over a +large number of high wattage devices through an IoT security vulnerability, then uses this control to cause rapid load +spikes. The researchers performed computer simulations for a range of parameters and concluded that an attacker +controlling 200 - 300 devices of $\SI{1}{\kilo\watt}$ each per megawatt of total grid power (equivalent to +30\% of total connected power) can cause a large-scale blackout in a healthy grid, while 10 such compromised +devices per megawatt (1\% of total power) are enough to cause cascading line failures that may ultimately lead +up to a large-scale blackout. + +In~\cite{hcb19}, Huang, Cardenas and Baldick raised a counter-point to the conclusions of Soltan et al., arguing that +limitations of their simulations in~\cite{smp18} have lead them to over-estimate the severity of an attack. Using a +model tailored to accurately represent the grid's protection mechanisms, they found that due to the action of protection +systems such as load shedding and over frequency protection, large attacks of 30\% of total grid power are likely to +cause only localized blackouts and the decay of the grid into islands, instead of a large-scale blackout. Smaller attack +sizes between 1\% and 10\% were mostly harmless in their simulations. + +From literature, we get the overall impression that both IoT and Smart Grid security are challenging. Both lack behind +the security standard of state of the art desktop, server and smartphone operating systems. Reasons for this are the +relatively recent nature of the IoT software ecosystem and the large number of independent implementations. A unique +challenge to Smart Grid security is that due to the fragmentation of markets along national borders, certain devices +such as smart meters or DSR implementations exist in large monocultures. + +Smart meters are consumer devices built down to a price and manufacturers' firmware security R\&D budgets are limited by +the high degree of market fragmentation that is caused by mutually incompatible national smart metering standards. +Landis+Gyr, a large utility meter manufacturer, state in their 2019 annual report that they invested \SI{36}{\percent} +of their total R\&D budget on embedded software while spending only \SI{24}{\percent} on hardware +R\&D~\cite{landisgyr01,landisgyr02}, which indicates tension between firmware security and the manufacturers's bottom +line. + +Compared to IoT and Smart Grid devices, the embedded firmware foundations of modern smartphones have received more +attention both from the industry and from academia. Pinto and Santos in~\cite{pinto01} conducted a survey of +implementations based on ARM's TrustZone embedded virtualization architecture and found a significant number of reported +vulnerabilities across different implementations. For instance, Rosenberg in~\cite{rosenberg01} found critical issues in +Qualcomm's QSEE hypervisor, and Kanonov and Wool in~\cite{kanonov01} identified a number of design weaknesses and +security vulnerabilities in Samsung's competing KNOX virtualization product. To us, the state of the field of embedded +security indicates that even if significant effort is spent on the security of IoT and Smart Grid devices to catch up +with desktop, server and smartphone security, significant vulnerabilities are likely to remain for some time to come. +In this instance, market forces do not align with the interest of the public at large. Vulnerabilities remain likely, +especially in code implementing complex network protocols such as TLS~\cite{georgiev01}, which may even be mandated by +national standards in some devices such as smart meters. + +%\subsection{Reliably resetting an IoT or Smart Grid device} + +\subsection{Oscillations in the electrical grid} + +Common to the attacks on the electrical grid proposed in the papers discussed above is their approach of overloading +parts of the grid. However, scenarios have been proposed that go beyond a simple overload condition, in which an +attacker instead carefully exploits the physical characteristics of the grid to cause oscillations of increasing +amplitude, ultimately triggering a cascade of protection mechanisms. The purpose of this type of attack is to use a +small controllable load to cause outsized damage. + +Electro-mechanical oscillation modes between different geographical areas of an electrical grid are a well-known +phenomenon. In their book~\cite{rogers01}, Rogers and Graham provide an in-depth analysis of these oscillations and +their mitigation. In~\cite{grebe01}, Grebe, Kabouris, López Barba et al.\ analyzed modes inherent to the +continental European grid. A report on an event where an oscillation on one such mode caused a problem can be found in +\cite{entsoe01}. + +In~\cite{zlmz+21}, Zou, Liu, Ma et al.\ analyzed the possibility of a modal attack in which electric vehicle chargers +rapidly modulate their power to force an oscillation of a poorly dampened wide-area electromechanical mode. In their +model an attacker compromises a backend smart grid control system that controls a large number of EV chargers. Using +mathematical analysis, small-scale simulations and limited practical experiments they validated the attack scenario and +developed a countermeasure that can be implemented as part of generator control systems and that when activated can +suppress forced oscillations of wide-area electromechanical modes. + +\subsection{Proposed Countermeasures} + +In parallel with research on theoretical attacks, countermeasures to these have also been proposed in academic +literature. In~\cite{kgma21}, the authors propose an extension to grid control algorithms aimed at increasing the grid's +robustness towards forced oscillations. In~\cite{smp18}, the authors propose that utility operators use a detailed +attacker model to engineer additional safety margins into the grid while minimizing the economic inefficiency of these +measures. On the IoT side, they note that due to the wide implementation diversity, the problem cannot be solved by +individual measures and propose additional fundamental research on IoT device security. + +In~\cite{hcb19}, the authors conclude that simple demand attacks where compromised loads suddenly increase demand are +adequately mitigated by existing safety measures, in particular \emph{Under-Frequency Load Shedding} (UFLS), which forms +the basis of any grid's automatic emergency response. As part of UFLS, during a contingency the utility will +progressively disconnected loads according to set priorities until the production / generation balance has been restored +and a blackout has been averted. + +% FIXME more sources! + +\section{Grid Frequency as a Communication Channel} + +The countermeasures discussed above are fully automatic. Such systems can provide a good first line of defense, but they +must be complemented by means of manual intervention since not every eventuality can be anticipated. During a +large-scale cyber attack, availability of internet and cellular connectivity cannot be relied upon. An attacker may +already have disabled such systems in a separate attack, or they may go down along with parts of the electrical grid. +Powerline communication systems will likely be unaffected by an attack, but at a range of no more than several tens of +kilometers, covering the entire grid would require a large upfront infrastructure investment for transmitters. + +We propose to approach the problem of broadcasting an emergency control signal to all grid-connected devices such as +smart meters or IoT appliances within a synchronous area by using grid frequency as a communication channel. Despite +the technological complexity of the grid, the physics underlying its response to changes in load and generation is +surprisingly simple. Individual machines (loads and generators) can be approximated by a small number of differential +equations describing their control systems' interaction with the machines' physics, and the entire grid can be modelled +by aggregating these approximations into a large system of differential equations. As a consequence, small signal +changes in generation/consumption power balance cause an approximately proportional change in +frequency~\cite{kundur01,crastan03,entsoe02,entsoe04}. The slope of this first-order approximation is known as +\emph{Power Frequency Characteristic}, and in case of the continental European synchronous area happens to be about +\SI{25}{\giga\watt\per\hertz} according to the European electricity grid authority, ENTSO-E. + +If we modulate the power consumption of a large load, this modulation will result in a small change in frequency +according to that characteristic. As long as we stay within the operational limits set by +ENTSO-E~\cite{entsoe02,entsoe03}, this change will not degrade the operation of other parts of the grid. The advantages +of grid frequency modulation are the fact that a single transmitter can cover an entire synchronous area as well as low +receiver hardware complexity. + +To the best of the authors' knowledge, grid frequency modulation has only ever been proposed as a communication channel +at very small scales in microgrids before~\cite{urtasun01} and has not yet been considered for large-scale application. + +\subsection{Comparison to other communication channels} + +Compared to traditional channels such as Fiber To The Home (FTTH), 5G or LoraWAN, grid frequency as a communication +channel has a resiliency advantage. It can start transmission as soon as a power island with a connected transmitter is +powered up, while communication networks such as FTTH or 5G are still rebooting or waiting for their centralized +infrastructure to come back online. Mesh networks such as LoraWAN can cover short distances up to $\SI{20}{\kilo\meter}$ +without requiring infrastructure to be available, but for longer distances LoraWAN relies on the public internet for its +network backbone. Additionally, systems such as FTTH, 5G and LoraWAN are built around a point-to-point communication +model and usually do not support a global broadcast primitive. During times when a large number of devices must be +reached simultaneously this can lead to congestion of cellular towers and servers. Therefore, during an ongoing cyber +attack, grid frequency is promising as a communication channel because only a single transmitter facility must be +operational for it to function, and this single transmitter can reach all connected devices simultaneously. + +\subsection{Characterizing Grid Frequency} +\label{grid-freq-characterization} + +To prepare our analysis of grid frequency modulation, we developed a device that allows us to collect measurements of +actual grid frequency behavior through safely recording the grid voltage waveform. Our system consists of an +\texttt{STM32F030F4P6} ARM Cortex M0 microcontroller that records mains voltage using its internal 12-bit ADC and +transmits measured values through a galvanically isolated USB/serial bridge to a host computer. We derive our system's +sampling clock from a crystal oven to avoid frequency measurement noise due to thermal drift of a regular crystal: +\SI{1}{ppm} of crystal drift would cause a grid frequency error of $\SI{50}{\micro\hertz}$. We compared our +oven-stabilized clock against a GPS 1 pps reference and found that over a time span of 20 minutes both stayed stable +within 5 ppb of each other, which corresponds to the drift specification of a typical crystal oven. + +In utility SCADA systems, Phasor Measurement Units (PMUs) are used to precisely measure grid frequency among other +parameters. Details on the inner workings of commercial phasor measurement units are scarce but there is a large amount +of academic research on their measurement algorithms. PMUs employ complex signal analysis algorithms to provide fast +and precise measurements even when given a heavily distorted input signal~\cite{narduzzi01,derviskadic01,belega01}. + +In our application, we do not need the same level of precision. For the sake of simplicity, we use the universal +frequency estimation approach of Gasior and Gonzalez~\cite{gasior01}. In this algorithm, the windowed input signal is +processed using a Discrete Fourier Transform (DFT), then the signal's fundamental frequency is interpolated by fitting a +wavelet to the largest peak in the DFT result. The bias parameter of this curve fit is an accurate estimation of the +signal's fundamental frequency. This algorithm is similar to the interpolated DFT algorithm referenced by phasor +measurement literature~\cite{borkowski01}. + +\begin{figure} + \centering + \includegraphics[width=0.45\textwidth]{freq_meas_spectrum_new} + \caption{The spectrum of grid frequency variations measured over 24 hours. The raw spectrum is shown in gray, and a + smoothed spectrum is shown in red. The blue line is inversely proportional to frequency and illustrates the $1/f$ + nature of the spectrum. Distinctive peaks in the spectrum are marked with red crosses, and their locations + are given on the bottom of the diagram.} + \Description{A plot of power spectral density in Hertz squared per Hertz versus period in seconds. The plot shows + the measured spectrum, a smoothed fit of the measured spectrum, and an one over f line for comparison. The measured + spectrum is very noisy. The smoothed signal looks much cleaner, and roughly follows the one over f line. The + smoothed data contains several notable features. At a period of about 80 seconds, its slope suddenly starts falling + off faster than one over f to form a through shape towards higher frequencies. There are several narrow bumps at + round number periods such as 10 seconds, 60 seconds, 300 seconds and 900 seconds. There are three wider bumps + visible. Two, a larger and a smaller one, next to each other centered on 4.7 seconds for the larger one and 7.0 + seconds for the smaller one. The last wider bump is below 0.5 seconds.} + \label{fig_freq_spec} +\end{figure} + +Using our grid frequency recorder, we performed a two-day measurement series of grid frequency. +Figure~\ref{fig_freq_spec} shows the frequency spectrum of grid frequency over this two-day span. In this spectrum, we +observe a number of features. Across the frequency range, we observe a broad $1/f$ noise. Above a period of +$\SI{10}{\second}$, this $1/f$ noise dips to a flat noise floor. We estimate that this low-noise region is caused by the +self-regulating effect of loads. Above a $\SI{10}{\second}$ period, primary control is activated and thus the $1/f$ +noise we observe is the result of the interaction between primary control and consumer demand. On top of this $1/f$ +behavior, the spectrum shows several sharp peaks at time intervals with a ``round'' number such as $\SI{10}{\second}$, +$\SI{60}{\second}$ or multiples of $\SI{300}{\second}$. These peaks are due to loads turning on- or off depending on +wall-clock time, and demand forecasting not being able to precisely match the amplitude of these large changes in load. +Besides the narrow peaks caused by this effect we can also observe two wider bumps at $\SI{7.0}{\second}$ and +$\SI{4.7}{\second}$. These bumps closely correlate with continental European synchonous area's oscillation modes at +$\SI{0.15}{\hertz}$ (east-west) and $\SI{0.25}{\hertz}$ (north-south)~\cite{grebe01}. + +\section{Grid Frequency Modulation} + +A transmitter for grid frequency modulation would be a controllable load of several Megawatt that is located centrally +within the grid. A baseline implementation would be a spool of wire submerged in a body of cooling liquid (such as a +small lake) which is powered from a thyristor rectifier bank. Compared to this baseline solution, hardware and +maintenance investment can be decreased by repurposing a large industrial load as a transmitter. Going through a list of +energy-intensive industries in Europe~\cite{ec01}, we found that an aluminium smelter would be a good candidate. In +aluminium smelting, aluminium is electrolytically extracted from alumina solution. High-voltage mains power is +transformed, rectified and fed into approximately 100 series-connected electrolytic cells forming a \emph{potline}. +Inside these pots, alumina is dissolved in molten cryolite electrolyte at approximately \SI{1000}{\degreeCelsius} and +electrolysis is performed using a current of tens or hundreds of Kiloampère at a few Volt per cell. The resulting pure +aluminium settles at the bottom of the cell and is tapped off for further processing. + +Aluminium smelters are operated around the clock, and due to the high financial stakes their behavior under power +outages has been carefully characterized. Power outages of tens of minutes up to two hours reportedly do not cause +problems in aluminium potlines~\cite{eisma01,oye01}. Recently, even techniques for intentional power modulation without +affecting cell lifetime or product quality have been developed to take advantage of variable energy +prices~\cite{duessel01,eisma01,depree01}. An aluminium plant's power supply is controlled to constantly keep all +smelter cells under optimal operating conditions. Modern power supply systems employ large banks of diodes or thyristors +to rectify low-voltage AC to DC to be fed into the potline~\cite{ayoub01}. Potline voltage is controlled through a +combination of a tap changer and a transductor. Individual cell voltages are controlled by changing the physical +distance between anode and cathode. In this setup, power can be electronically modulated using the thyristor rectifier. +Since the system does not have any mechanical inertia, high modulation rates are possible. + +In~\cite{depree01}, the authors describe a setup where a large Aluminium smelter in continental Europe is used as +primary control reserve for frequency regulation. Their system achieved a rise time of $\SI{15}{\second}$, meeting the +local $\SI{30}{\second}$ requirement for primary control. The authors calculated that their system can provide an +equivalent thermal energy storage capacity of $\SI{7.7}{\giga\watt\hour}$ using all plants of a single operator. At the +maximum modulation depth of $\SI{100}{\percent}$ for up to one hour that the paper cites, the resulting effective +modulation power is $\SI{7.7}{\giga\watt}$. Over a longer time span of $\SI{48}{\hour}$, they have demonstrated a +$\SI{33}{\percent}$ modulation depth which would correspond to a modulation power of $\SI{2.5}{\giga\watt}$. The +experiment from~\cite{depree01} shows that a modulation of part of an aluminium smelter's power consumption is possible +at no significant production impact and at low infrastructure cost. Aluminium smelters are already connected to the grid +in a way that they do not pose a danger to other nearby consumers when they turn off or on parts of the plant, as this +is commonplace during routine maintenance activities. + +\subsection{Operating a GFM safety reset} + +While a single large Aluminium smelter could conceivably provide sufficient modulation power to cover the entire +continental European synchronous area, we have to consider operation during a black start, when the grid temporarily +divides into a number of disconnected power islands. A single transmitter would only be able to reach receivers on the +same power island. + +To alleviate this constraint, a number of smaller transmitters throughout the network can be synchronized to act in +unison. Using existing industrial loads keeps the implementation cost of additional transmitters low. GPS-disciplined +frequency standards can keep transmissions synchronized across power islands even after a holdover period of several +days. When the utility rejoins power islands into the larger grid, the synchronized transmissions will constructively +interfere. + +As illustrated in Figure~\ref{fig_intro_flowchart}, the transmitters are connected to a command center. For this +connection, a redundant set of long-range radio or satellite links can be used, as well as wired connections through the +utility's dedicated SCADA network. In an emergency, the command center can then trigger a transmission. Synchronized +through their gps-backed frequency standards, two transmitters will then constructively interfere as soon as they are +connected to the same power island. + +\subsection{Parameterizing Modulation for GFM} + +Given the grid characteristics we measured using our custom waveform recorder and using a model of our transmitter, we +can derive parameters for the modulation of our broadcast system. The overall network power-frequency characteristic of +the continental European synchronous area is approximately $\SI{25}{\giga\watt\per\hertz}$~\cite{entsoe02}. Thus, the +main challenge for a GFM system will be poor signal-to-noise ratio (SNR) due to low transmission power. A second layer +of modulation yielding some modulation gain beyond the basic amplitude modulation of the transmitter will be necessary +to achieve sufficient overall SNR. + +The grid's frequency noise has significant localized peaks that might interfere with this modulation. Further +complicating things are the oscillation modes. A GFM system must be designed to avoid exciting these modes. However, +since these modes are not static, a modulation method that is designed around a specific assumption of their location +would not be future proof. Given these concerns, the optimal second-level modulation technique for GFM is a +spread-spectrum technique. By spreading signal energy throughout a wide band, both the impact of local noise spikes is +minimized and the risk of mode excitation is reduced since spread-spectrum techniques minimize energy in any particular +sub-band. + +The spread-spectrum technique that we chose is Direct Sequence Spread Spectrum for its simple implementation and good +overall performance. DSSS chip timing should be as fast as the transmitter's physics allow to exploit the low-noise +region between $\SI{0.2}{\hertz}$ to $\SI{2.0}{\hertz}$ in Figure~\ref{fig_freq_spec}. Going past +$\approx\SI{2}{\hertz}$ would complicate frequency measurement at the receiver side. + +\subsubsection{Direct Sequence Spread Spectrum (DSSS) modulation} + +Direct Sequence Spread Spectrum modulation is a common spread-spectrum technique that forms the basis of a number of +radio systems, most prominently all global navigation satellite systems (GNSS). As a spread-spectrum technique, DSSS +spreads out the signal's energy across a broad spectral range. This decreases the susceptibility of a DSSS signal to +narrowband interference. In GNSS, this allows the rejection of other nearby RF sources. In our use case, this makes the +signal immune to the many narrow peaks in the grid frequency's noise spectrum that are caused by control systems +sychronized to wall-clock time(cf.~Fig.~\ref{fig_freq_spec}). In addition to better interference immunity, DSSS has two +other important characteristics: It provides \emph{modulation gain}, i.e.~it allows a trade-off between data rate and +receiver sensitivity, and it allows for Code Division Multiple Access (CDMA). In CDMA, multiple DSSS-modulated signals +can be sent simultaneously through a shared channel with less impact to the resulting signal-to-noise ratio (SNR) than +would be the case for other modulation techniques. + +A DSSS signal is made up from pseudo-random \emph{symbols}, which in turn are made up from individual physical layer +bits called \emph{chips}. Chips are encoded in the signal using a lower-layer modulation such as phase-shift keying +(e.g.~in GPS) or frequency-shift keying (in this work). In DSSS, a \emph{code} is a library of symbols that are +constructed to have minimal cross-correlation, i.e.\ they are near-orthogonal. A transmitter sends a symbol by +transmitting its particular pseudo-random chip sequence at a chosen polarity, conveying one bit of information. A +receiver demodulates the signal by directly correlating the incoming physical-layer signal with the symbol's chip +pattern, which results in a positive or negative peak when a symbol is received depending on its polarity. + +By increasing the DSSS sequence length by a factor of $2$, SNR is improved by $\sqrt{2}$ assuming an additive white +gaussian noise (AWGN) channel. At the same time, when doubling the sequence length, common DSSS code construction +methods provide twice the number of distinctive symbols allowing for twice the number of CDMA participants. The trade +off between twice the sequence length (and transmission time) for approximately $\SI{1.5}{dB}$ in SNR is a steep +trade-off, but is necessary in systems where transmitter power cannot be increased further and the resulting signal has +a marginally low SNR. + +\subsubsection{DSSS parametrization} + +To find the parameters for our DSSS modulation, we simulated a proof-of-concept modulator and demodulator using data +captured from our grid frequency sensor. Our simulations covered a range of combinations of modulation amplitude, DSSS +sequence bit depth, chip duration and detection threshold. Figure~\ref{fig_ser_nbits} shows our simulation results for +symbol error rate (SER) as a function of modulation amplitude with Gold sequences of several bit depths. From these +graphs we conclude that the range of practical modulation amplitudes starts at approximately $\SI{1}{\milli\hertz}$, +which corresponds to a modulation power of approximately $\SI{25}{\mega\watt}$~\cite{entsoe02}. +Figure~\ref{fig_ser_thf} shows SER against detection threshold relative to background noise. Figure~\ref{fig_ser_chip} +shows SER against chip duration for a given fixed symbol length. As expected from looking at our measured grid frequency +noise spectrum, performance is best for short chip durations and worsens for longer chip durations since shorter chip +durations move our signals' bandwidth into the lower-noise region from $\SI{0.2}{\hertz}$ to $\SI{2}{\hertz}$. +%FIXME introduce term "chip" somewhere + +\begin{figure} + \centering + \includegraphics[width=0.3\textwidth]{dsss_gold_nbits_overview} + \caption{Symbol Error Rate as a function of modulation amplitude for Gold sequences of several lengths.} + \Description{A plot of symbol error rate versus amplitude in millihertz. The plot shows four lines, one each for 5 + bit, 6 bit, 7 bit and 8 bit. All four lines form smooth step functions, plateauing at a symbol error rate of 1.0 for + low amplitudes and falling to a symbol error rate of 0.0 for high amplitudes. The low-amplitude plateau is widest + for 5 bit and narrowest for 8 bit. The falloff is steepest for 8 bit, and slowest for 5 bit. For 8 bit, a symbol + error rate of 0.5 is crossed at about 0.4 millihertz. For 7 bit at about 0.6 millihertz, for 6 bit at 0.8 millihertz + and for 5 bit at 1.3 millihertz. For 7 and 8 bit, symbol error rate settles at zero above 1.0 millihertz. For 5 bit + above 2.0 millihertz and for 8 bit at about 3.0 millihertz. + } + \label{fig_ser_nbits} +\end{figure} + +\begin{figure} + \centering + \hspace*{-5mm}\includegraphics[width=0.45\textwidth]{dsss_thf_amplitude_5678} + \caption{SER vs.\ Amplitude and detection threshold. Detection threshold is set as a factor of background noise + level.} + \Description{This figure shows four plots that are similar to the previous figure. Each plot shows symbol error rate + plotted against signal amplitude in millihertz. Each of the four plots shows a different gold sequence length, from + 5 bit up to 8 bit. Each plot contains more than ten traces that are color-coded for a different detection threshold + factor. All plots show that a high threshold factor going towards 10 shifts the symbol error rate curve towards + higher amplitudes, implying a less sensitive receiver. For lower threshold factors the sensitivity improves, + however, for very low threshold factors performance deterioates and the plotted curves suddenly become completely + erratic, with several curves for low threshold factors around 2 at all bit lengths never reaching symbol error rates + below 0.2. The middle ground between the two seems to be a threshold factor of around 5. The four plots show a clear + dependency between receiver sensitivity and gold code length. For a 5 bit gold code, only a few graphs settle at all + and those that do settle towards zero symbol error rate only between 3 and 4 millihertz in amplitude. For a 6 bit + gold sequence, most graphs settle, and for the best threshold factor the graph settles to zero symbol error rate + below 2 millihertz amplitude. For the 7 bit gold code, the best graph settles at approximately 1.2 millihertz, and + for the 8 bit gold code at approximately 0.8 millihertz.} + \label{fig_ser_thf} +\end{figure} + +\begin{figure} + \centering + \hspace*{-5mm}\includegraphics[width=0.45\textwidth]{chip_duration_sensitivity_6} + \caption{SER vs.\ DSSS chip duration.} + \Description{The figure shows two plots. The first plot shows symbol error rate against signal amplitude in + millihertz, but this time it shows a cohort of curves for different chip durations. The general amplitude behavior + is similar to the previous figure showing threshold factor instead, with a plateau at a 1.0 symbol error rate for + low amplitudes, and a smooth step settling to a 0.0 symbol error rate for large signal amplitude. The plot shows + chip durations between 0.1 seconds, equivalent to 6.4 seconds symbol duration and 5.0 seconds, equivalent to 320 + seconds symbol duration. Most curves settle within the plotted range of 0 to 5 millihertz. Larger chip durations + settle only at higher amplitudes, and the fastest settling chip durations are also the shortest. There is a cluster + of fast-settling curves settling around 1.0 millihertz amplitude for chip durations below 1.0 seconds. A clear best + candidate is hard to distinguish from this cluster. + The second plot in the figure shows the minimum amplitude necessary for a symbol error rate of 0.5 plotted in + millihertz against chip duration in seconds. The graph shows a nicely round curve bottoming out at approximately + 0.75 millihertz for a chip duration of 0.3 seconds. For lower chip durations, the curve slightly rises, while for + longer chip durations it rises by a lot, reaching 4.0 millihertz for a chip duration of 5.0 seconds.} + \label{fig_ser_chip} +\end{figure} + +\subsection{Parameterizing a PoC GFM ``Safety Reset''} + +%FIXME introduce scenario +Taking these modulation parameters as a starting point, we proceeded to create a proof-of-concept smart meter emergency +reset system. On top of the modulation described in the previous paragraphs we layered simple Reed-Solomon error +correction~\cite{mackay01} and some cryptography. The goal of our PoC cryptographic implementation was to allow the +sender of an emergency reset broadcast to authorize a reset command to all listening smart meters. An additional +constraint of our setting is that due to the extremely slow communication channel all messages should be kept as short +as possible. The solution we chose for our PoC is a simplistic hash chain using the approach from the Lamport and +Winternitz One-time Signature (OTS) schemes~\cite{lamport02,merkle01}. Informally, the private key is a random +bit string. The public key is generated by recursively applying a hash function to this key a number of times. Each +smart meter reset command is then authorized by disclosing subsequent elements of this series. Unwinding the hash chain +from the public key at the end of the chain towards the private key at its beginning, at each step a receiver can +validate the current command by checking that it corresponds to the previously unknown input of the current step of the +hash chain. Replay attacks are prevented by the device memorizing the most recent valid command. This simple scheme +does not afford much functionality but it results in very short messages and removes the need for computationally +expensive public key cryptography inside the smart meter. + +Formally, we can describe our simple cryptographic protocol as follows. Given an $m$-bit cryptographic hash function $H +: \{0,1\}^*\rightarrow\{0,1\}^m$ and a private key $k_0 \in \{0,1\}^m$, we construct the public key as +$k_{n_\text{total}} = H^{n_\text{total}}(k_0)$ where $H^n(x)$ denotes the $n$-fold recursive application of $H$ to +itself, i.e.\ $H(H(\hdots H(x)))$. $n_\text{total}$ is the total number of signatures that the system can +issue over its lifetime. $n_\text{total}$ must be chosen with adequate safety margin to account for unpredictable future +use of the system. The choice of $n_\text{total}$ is of no consequence when a device checks reset authorization, but key +generation time grows linearly with $n_\text{total}$ since $H$ needs to applied $n_\text{total}$ times. In practice, +given the speed of modern computers, values of $n_\text{total} > 10^9$ should pose no problem during key generation. For +public key $k_{n_\text{total}}$, the system can authorize up to $n_\text{total}$ commands by successively disclosing the +$k_i$ starting at $i=n-1$ and counting down until finally disclosing $k_0$. Since we only want to transmit a single bit +of information, we do not need any payload. Instead, we simply send a message $m = (k_i)$ consisting solely of $k_i$. +The receiver of a message $m$ can check that the message is a legitimate command by checking $\exists i #include -#include #include "sr_global.h" #include "adc.h" diff --git a/controller/fw/src/mspdebug_wrapper.c b/reset-controller/fw/src/mspdebug_wrapper.c similarity index 100% rename from controller/fw/src/mspdebug_wrapper.c rename to reset-controller/fw/src/mspdebug_wrapper.c diff --git a/controller/fw/src/mspdebug_wrapper.h b/reset-controller/fw/src/mspdebug_wrapper.h similarity index 100% rename from controller/fw/src/mspdebug_wrapper.h rename to reset-controller/fw/src/mspdebug_wrapper.h diff --git a/controller/fw/src/protocol.c b/reset-controller/fw/src/protocol.c similarity index 100% rename from controller/fw/src/protocol.c rename to reset-controller/fw/src/protocol.c diff --git a/controller/fw/src/rscode-config.h b/reset-controller/fw/src/rscode-config.h similarity index 100% rename from controller/fw/src/rscode-config.h rename to reset-controller/fw/src/rscode-config.h diff --git a/controller/fw/src/rslib.c b/reset-controller/fw/src/rslib.c similarity index 100% rename from controller/fw/src/rslib.c rename to reset-controller/fw/src/rslib.c diff --git a/controller/fw/src/rslib.h b/reset-controller/fw/src/rslib.h similarity index 100% rename from controller/fw/src/rslib.h rename to reset-controller/fw/src/rslib.h diff --git a/controller/fw/src/serial.c b/reset-controller/fw/src/serial.c similarity index 100% rename from controller/fw/src/serial.c rename to reset-controller/fw/src/serial.c diff --git a/controller/fw/src/serial.h b/reset-controller/fw/src/serial.h similarity index 100% rename from controller/fw/src/serial.h rename to reset-controller/fw/src/serial.h diff --git a/controller/fw/src/signal_processing.c b/reset-controller/fw/src/signal_processing.c similarity index 100% rename from controller/fw/src/signal_processing.c rename to reset-controller/fw/src/signal_processing.c diff --git a/controller/fw/src/simulation.h b/reset-controller/fw/src/simulation.h similarity index 100% rename from controller/fw/src/simulation.h rename to reset-controller/fw/src/simulation.h diff --git a/controller/fw/src/spi_flash.c b/reset-controller/fw/src/spi_flash.c similarity index 100% rename from controller/fw/src/spi_flash.c rename to reset-controller/fw/src/spi_flash.c diff --git a/controller/fw/src/spi_flash.h b/reset-controller/fw/src/spi_flash.h similarity index 100% rename from controller/fw/src/spi_flash.h rename to reset-controller/fw/src/spi_flash.h diff --git a/controller/fw/src/sr_global.h b/reset-controller/fw/src/sr_global.h similarity index 100% rename from controller/fw/src/sr_global.h rename to reset-controller/fw/src/sr_global.h diff --git a/controller/fw/src/startup_stm32f407xx.s b/reset-controller/fw/src/startup_stm32f407xx.s similarity index 100% rename from controller/fw/src/startup_stm32f407xx.s rename to reset-controller/fw/src/startup_stm32f407xx.s diff --git a/controller/fw/src/stm32f4_isr.h b/reset-controller/fw/src/stm32f4_isr.h similarity index 100% rename from controller/fw/src/stm32f4_isr.h rename to reset-controller/fw/src/stm32f4_isr.h diff --git a/controller/fw/src/system_stm32f4xx.c b/reset-controller/fw/src/system_stm32f4xx.c similarity index 100% rename from controller/fw/src/system_stm32f4xx.c rename to reset-controller/fw/src/system_stm32f4xx.c diff --git a/controller/fw/src/test_decoder.py b/reset-controller/fw/src/test_decoder.py similarity index 100% rename from controller/fw/src/test_decoder.py rename to reset-controller/fw/src/test_decoder.py diff --git a/controller/fw/src/test_pyldpc_utils.py b/reset-controller/fw/src/test_pyldpc_utils.py similarity index 100% rename from controller/fw/src/test_pyldpc_utils.py rename to reset-controller/fw/src/test_pyldpc_utils.py diff --git a/controller/fw/src/tinyaes_adaptor.c b/reset-controller/fw/src/tinyaes_adaptor.c 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a/ma/resources/easymeter_baseboard_composite.jpg b/talk/pics/custom/stitched.jpg old mode 100755 new mode 100644 similarity index 100% rename from ma/resources/easymeter_baseboard_composite.jpg rename to talk/pics/custom/stitched.jpg diff --git a/talk/pics/custom/stitched.png b/talk/pics/custom/stitched.png new file mode 100644 index 0000000..99614c6 Binary files /dev/null and b/talk/pics/custom/stitched.png differ diff --git a/talk/pics/original/scrape.py b/talk/pics/original/scrape.py new file mode 100644 index 0000000..2191d09 --- /dev/null +++ b/talk/pics/original/scrape.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python3 + +import os +import re +import sys +import requests +from bs4 import BeautifulSoup +import IPython +from os import path + +if __name__ != '__main__': + raise ImportError('This is a command-line script and not supposed to be imported.') + +pic_ids = [ re.match(r'.*-([0-9a-zA-Z-]{11})-unsplash\.jpg$', fn) for fn in os.listdir() ] +pic_ids = [ match.group(1) for match in pic_ids if match ] + +for id in pic_ids: + try: + res = requests.get(f'https://unsplash.com/photos/{id}') + soup = BeautifulSoup(res.text, features='lxml') + + title = soup.find('title').text + match = re.match(r'(.*) photo – Free (.*)Image on Unsplash', title) + if match: + title, category = match.groups() + else: + match = re.match(r'Free (.*)Image on Unsplash', title) + category, = match.groups() + + alts = [ img['alt'] for img in [ a.findChild('img') for a in soup.find_all('a') if a['href'].startswith('/@') ] if img ] + name = re.match("Go to (.*)'s profile", alts[0]).group(1) + + print(f'{name}: {title if title else category.strip()}') + except: + print(id, file=sys.stderr) + diff --git a/talk/safety reset talk theming.svg b/talk/safety reset talk theming.svg new file mode 100644 index 0000000..c65a4d0 --- /dev/null +++ b/talk/safety reset talk theming.svg @@ -0,0 +1,10556 @@ + + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + Title Slide + + Fundamentals Structure of the electrical grid The role of smart meters Smart meter functions The motivation Smart metering regulation Physical structure Security in the distribution grid + + Endpoint safety & security Prototypical attackers System structure and security Complex hard- and firmware + + The safety reset System function Remote Trigger + + Grid-associated comms channels Landline IP Powerline Communication (PLC) Wireless IP Short-range wireless The Hack: Grid Frequency Modulation (GFM) + + Constructing a reliable GFM comms channel Channel properties Modulation ECC Cryptography + + Testing and validation Extensive simulations in Jupyter Host testing of instrumented software Demonstrator experiments + + Conclusion Theoretical analysis results Experimental results + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Q&A + diff --git a/resource/borlase01.pdf b/talk/safety_reset.odp 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Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + diff --git a/talk/slide_endpoint_security.png b/talk/slide_endpoint_security.png new file mode 100644 index 0000000..bd80a5e Binary files /dev/null and b/talk/slide_endpoint_security.png differ diff --git a/talk/slide_endpoint_security.svg b/talk/slide_endpoint_security.svg new file mode 100644 index 0000000..158e72e --- /dev/null +++ b/talk/slide_endpoint_security.svg @@ -0,0 +1,871 @@ + + + + + + + + + + + + + Communication on the Grid + + Communication on the Grid + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + + The Safety Reset Endpoint Safety & Security Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + diff --git a/talk/slide_fundamentals.png b/talk/slide_fundamentals.png new file mode 100644 index 0000000..72d6374 Binary files /dev/null and b/talk/slide_fundamentals.png differ diff --git a/talk/slide_fundamentals.svg b/talk/slide_fundamentals.svg new file mode 100644 index 0000000..a9b15f0 --- /dev/null +++ b/talk/slide_fundamentals.svg @@ -0,0 +1,788 @@ + + + + + + + + + + + + + Communication on the Grid + + Communication on the Grid + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + + The Safety Reset Fundamentals Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals + Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + diff --git a/talk/slide_gfm.png b/talk/slide_gfm.png new file mode 100644 index 0000000..73f53f6 Binary files /dev/null and b/talk/slide_gfm.png differ diff --git a/talk/slide_gfm.svg b/talk/slide_gfm.svg new file mode 100644 index 0000000..37845e0 --- /dev/null +++ b/talk/slide_gfm.svg @@ -0,0 +1,29794 @@ + + + + + + + + + + + + + Communication on the Grid + + Communication on the Grid + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + The Safety Reset + From Grid Frequency to a Reliable Channel Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + diff --git a/talk/slide_grid_comms.png b/talk/slide_grid_comms.png new file mode 100644 index 0000000..39f42e0 Binary files /dev/null and b/talk/slide_grid_comms.png differ diff --git a/talk/slide_grid_comms.svg b/talk/slide_grid_comms.svg new file mode 100644 index 0000000..1b47f0d --- /dev/null +++ b/talk/slide_grid_comms.svg @@ -0,0 +1,35835 @@ + + + + + + + + + + + + + Communication on the Grid + + Communication on the Grid + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + The Safety Reset + Communication along the Grid Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + diff --git a/talk/slide_questions.png b/talk/slide_questions.png new file mode 100644 index 0000000..5b97c11 Binary files /dev/null and b/talk/slide_questions.png differ diff --git a/talk/slide_questions.svg b/talk/slide_questions.svg new file mode 100644 index 0000000..3821dde --- /dev/null +++ b/talk/slide_questions.svg @@ -0,0 +1,116 @@ + + + + + + + + + + image/svg+xml + + + + + + + + The Safety Reset + + Q&A + + + diff --git a/talk/slide_safety_reset.png b/talk/slide_safety_reset.png new file mode 100644 index 0000000..b48dcab Binary files /dev/null and b/talk/slide_safety_reset.png differ diff --git a/talk/slide_safety_reset.svg b/talk/slide_safety_reset.svg new file mode 100644 index 0000000..5cb074e --- /dev/null +++ b/talk/slide_safety_reset.svg @@ -0,0 +1,38272 @@ + + + + + + + + + + + + + Communication on the Grid + + Communication on the Grid + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + The Safety Reset + The Safety Reset Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + diff --git a/talk/slide_validation.png b/talk/slide_validation.png new file mode 100644 index 0000000..f764c32 Binary files /dev/null and b/talk/slide_validation.png differ diff --git a/talk/slide_validation.svg b/talk/slide_validation.svg new file mode 100644 index 0000000..e92bf50 --- /dev/null +++ b/talk/slide_validation.svg @@ -0,0 +1,54085 @@ + + + + + + + + + + + + + Communication on the Grid + + Communication on the Grid + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + The Safety Reset + Testing & Validation Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + + + + + + Fundamentals Security Safety Reset GFM Validation Conclusion Q&A + + + + + + + + + + + + + + + + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + + Fundamentals Security Safety Reset Communication on the Grid GFM Validation Conclusion Q&A + + diff --git a/talk/title_slide.png b/talk/title_slide.png new file mode 100644 index 0000000..47f4826 Binary files /dev/null and b/talk/title_slide.png differ diff --git a/talk/title_slide.svg b/talk/title_slide.svg new file mode 100644 index 0000000..7b71a28 --- /dev/null +++ b/talk/title_slide.svg @@ -0,0 +1,128 @@ + + + + + + + + + + image/svg+xml + + + + + + + + The Safety Reset + A Post-Attack Recovery Architecture for Smart Electricity Meters + Jan Götte <master@jaseg.de> + diff --git a/ma/Makefile b/thesis/Makefile similarity index 99% rename from ma/Makefile rename to thesis/Makefile index 3926de2..f9ced9c 100644 --- a/ma/Makefile +++ b/thesis/Makefile @@ -1,5 +1,5 @@ -LAB_PATH ?= ../lab-windows +LAB_PATH ?= ../notebooks SHELL := bash .ONESHELL: diff --git a/ma/fltpage.sty b/thesis/fltpage.sty similarity index 100% rename from ma/fltpage.sty rename to thesis/fltpage.sty diff --git a/ma/ma_microsd_holder.pdf b/thesis/ma_microsd_holder.pdf similarity index 100% rename from ma/ma_microsd_holder.pdf rename to thesis/ma_microsd_holder.pdf diff --git a/ma/ma_microsd_holder.svg b/thesis/ma_microsd_holder.svg similarity index 100% rename from ma/ma_microsd_holder.svg rename to thesis/ma_microsd_holder.svg diff --git a/ma/murks.tex b/thesis/murks.tex similarity index 100% rename from ma/murks.tex rename to thesis/murks.tex diff --git 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+# coding: utf-8 + +# In[17]: + + +import numpy as np +import numbers +import math +from scipy import signal as sig +import scipy.fftpack +import random +import struct +import random +import ipywidgets +import itertools +import datetime +import multiprocessing +import traceback +from collections import defaultdict +import json + +from tqdm import tqdm +import colorednoise + +np.set_printoptions(linewidth=240) + + + +sampling_rate = 10 # sp/s + + +# In[4]: + + +# From https://github.com/mubeta06/python/blob/master/signal_processing/sp/gold.py +preferred_pairs = {5:[[2],[1,2,3]], 6:[[5],[1,4,5]], 7:[[4],[4,5,6]], + 8:[[1,2,3,6,7],[1,2,7]], 9:[[5],[3,5,6]], + 10:[[2,5,9],[3,4,6,8,9]], 11:[[9],[3,6,9]]} + +def gen_gold(seq1, seq2): + gold = [seq1, seq2] + for shift in range(len(seq1)): + gold.append(seq1 ^ np.roll(seq2, -shift)) + return gold + +def gold(n): + n = int(n) + if not n in preferred_pairs: + raise KeyError('preferred pairs for %s bits unknown' % str(n)) + t0, t1 = preferred_pairs[n] + (seq0, _st0), (seq1, _st1) = sig.max_len_seq(n, taps=t0), sig.max_len_seq(n, taps=t1) + return gen_gold(seq0, seq1) + + +# In[5]: + + +def modulate(data, nbits=5): + # 0, 1 -> -1, 1 + mask = np.array(gold(nbits))*2 - 1 + + sel = mask[data>>1] + data_lsb_centered = ((data&1)*2 - 1) + + signal = (np.multiply(sel, np.tile(data_lsb_centered, (2**nbits-1, 1)).T).flatten() + 1) // 2 + return np.hstack([ np.zeros(len(mask)), signal, np.zeros(len(mask)) ]) + + +# In[6]: + + +def correlate(sequence, nbits=5, decimation=1, mask_filter=lambda x: x): + mask = np.tile(np.array(gold(nbits))[:,:,np.newaxis]*2 - 1, (1, 1, decimation)).reshape((2**nbits + 1, (2**nbits-1) * decimation)) + + sequence -= np.mean(sequence) + + return np.array([np.correlate(sequence, row, mode='full') for row in mask]) + + +# In[7]: + + +def load_noise_meas_params(capture_file): + with open(capture_file, 'rb') as f: + meas_data = np.copy(np.frombuffer(f.read(), dtype='float32')) + print('mean:', np.mean(meas_data), 'len:', len(meas_data)) + meas_data -= np.mean(meas_data) + return {'meas_data': meas_data} + +def mains_noise_measured(n, meas_data): + last_valid = len(meas_data) - n + start = np.random.randint(last_valid) + return meas_data[start:start+n] + +def load_noise_synth_params(specfile): + with open(specfile) as f: + d = json.load(f) + return {'spl_x': np.linspace(*d['x_spec']), + 'spl_N': d['x_spec'][2], + 'psd_spl': (d['t'], d['c'], d['k']) } + +def mains_noise_synthetic(n, psd_spl, spl_N, spl_x): + noise = np.random.normal(size=spl_N) * 2 + spec = scipy.fftpack.fft(noise) **2 + + spec *= np.exp(scipy.interpolate.splev(spl_x, psd_spl)) + + spec **= 1/2 + + renoise = scipy.fftpack.ifft(spec) + return renoise[10000:][:n] + +# In[8]: + + +def generate_test_signal(duration, nbits=6, signal_amplitude=2.0e-3, decimation=10, seed=0): + test_data = np.random.RandomState(seed=seed).randint(0, 2 * (2**nbits), duration) + + signal = np.repeat(modulate(test_data, nbits) * 2.0 - 1, decimation) * signal_amplitude + noise = mains_noise(len(signal)) + + return test_data, signal + noise + + +# In[9]: + + +nonlinear_distance = lambda x: 100**(2*np.abs(0.5-x%1)) / (np.abs(x)+3)**2 * (np.clip(np.abs(x), 0, 0.5) * 2)**5 + +# In[11]: + + +noprint = lambda *args, **kwargs: None + + +# In[12]: + + +def run_ser_test(sample_duration=128, nbits=6, signal_amplitude=2.0e-3, decimation=10, threshold_factor=4.0, power_avg_width=2.5, max_lookahead=6.5, pol_score_factor=1.0, seed=0, ax=None, print=print, ser_maxshift=3, debug_range=None): + + test_data, signal = generate_test_signal(sample_duration, nbits, signal_amplitude, decimation, seed) + cor_an = correlate(signal, nbits=nbits, decimation=decimation) + + power_avg_width = int(power_avg_width * (2**nbits - 1) * decimation) + + bit_period = (2**nbits) * decimation + peak_group_threshold = 0.05 * bit_period + hole_patching_threshold = 0.01 * bit_period + + cwt_res = np.array([ sig.cwt(row, sig.ricker, [0.73 * decimation]).flatten() for row in cor_an ]) + if ax: + ax.grid() + ax.plot(cwt_res.T) + + th = np.array([ np.convolve(np.abs(row), np.ones((power_avg_width,))/power_avg_width, mode='same') for row in cwt_res ]) + + def compare_th(elem): + idx, (th, val) = elem + #print('compare_th:', th.shape, val.shape) + return np.any(np.abs(val) > th*threshold_factor) + + peaks = [ list(group) for val, group in itertools.groupby(enumerate(zip(th.T, cwt_res.T)), compare_th) if val ] + peaks_processed = [] + peak_group = [] + for group in peaks: + pos = np.mean([idx for idx, _val in group]) + #pol = np.mean([max(val.min(), val.max(), key=abs) for _idx, (_th, val) in group]) + pol = max([max(val.min(), val.max(), key=abs) for _idx, (_th, val) in group], key=abs) + pol_idx = np.argmax(np.bincount([ np.argmax(np.abs(val)) for _idx, (_th, val) in group ])) + peaks_processed.append((pos, pol, pol_idx)) + #print(f'group', pos, pol, pol_idx) + #for pol, (_idx, (_th, val)) in zip([max(val.min(), val.max(), key=abs) for _idx, (_th, val) in group], group): + # print(' ', pol, val) + #if ax: + # ax.axvline(pos, color='cyan', alpha=0.3) + msg = f'peak at {pos} = {pol} idx {pol_idx}: ' + + if peak_group: + msg += f'continuing previous group: {peak_group[-1]},' + group_start, last_pos, last_pol, peak_pos, last_pol_idx = peak_group[-1] + + if abs(pol) > abs(last_pol): + msg += 'larger, ' + if ax: + ax.axvline(pos, color='magenta', alpha=0.5) + peak_group[-1] = (group_start, pos, pol, pos, pol_idx) + + else: + msg += 'smaller, ' + if ax: + ax.axvline(pos, color='blue', alpha=0.5) + peak_group[-1] = (group_start, pos, last_pol, peak_pos, last_pol_idx) + else: + last_pos = None + + if not peak_group or pos - last_pos > peak_group_threshold: + msg += 'terminating, ' + if peak_group: + msg += f'previous group: {peak_group[-1]},' + peak_pos = peak_group[-1][3] + if ax: + ax.axvline(peak_pos, color='red', alpha=0.6) + #ax3.text(peak_pos-20, 2.0, f'{0 if pol < 0 else 1}', horizontalalignment='right', verticalalignment='center', color='black') + + msg += f'new group: {(pos, pos, pol, pos, pol_idx)} ' + peak_group.append((pos, pos, pol, pos, pol_idx)) + if ax: + ax.axvline(pos, color='cyan', alpha=0.5) + + if debug_range: + low, high = debug_range + if low < pos < high: + print(msg) + print(group) + + avg_peak = np.mean(np.abs(np.array([last_pol for _1, _2, last_pol, _3, _4 in peak_group]))) + print('avg_peak', avg_peak) + + noprint = lambda *args, **kwargs: None + def mle_decode(peak_groups, print=print): + peak_groups = [ (pos, pol, idx) for _1, _2, pol, pos, idx in peak_groups ] + candidates = [ (abs(pol)/avg_peak, [(pos, pol, idx)]) for pos, pol, idx in peak_groups if pos < bit_period*2.5 ] + + while candidates: + chain_candidates = [] + for chain_score, chain in candidates: + pos, ampl, _idx = chain[-1] + score_fun = lambda pos, npos, npol: pol_score_factor*abs(npol)/avg_peak + nonlinear_distance((npos-pos)/bit_period) + next_candidates = sorted([ (score_fun(pos, npos, npol), npos, npol, nidx) for npos, npol, nidx in peak_groups if pos < npos < pos + bit_period*max_lookahead ], reverse=True) + + print(f' candidates for {pos}, {ampl}:') + for score, npos, npol, nidx in next_candidates: + print(f' {score:.4f} {npos:.2f} {npol:.2f} {nidx:.2f}') + + nch, cor_len = cor_an.shape + if cor_len - pos < 1.5*bit_period or not next_candidates: + score = sum(score_fun(opos, npos, npol) for (opos, _opol, _oidx), (npos, npol, _nidx) in zip(chain[:-1], chain[1:])) / len(chain) + yield score, chain + + else: + print('extending') + for score, npos, npol, nidx in next_candidates[:3]: + if score > 0.5: + new_chain_score = chain_score * 0.9 + score * 0.1 + chain_candidates.append((new_chain_score, chain + [(npos, npol, nidx)])) + print('chain candidates:') + for score, chain in sorted(chain_candidates, reverse=True): + print(' ', [(score, [(f'{pos:.2f}', f'{pol:.2f}') for pos, pol, _idx in chain])]) + candidates = [ (chain_score, chain) for chain_score, chain in sorted(chain_candidates, reverse=True)[:10] ] + + res = sorted(mle_decode(peak_group, print=noprint), reverse=True) + #for i, (score, chain) in enumerate(res): + # print(f'Chain {i}@{score:.4f}: {chain}') + (_score, chain), *_ = res + + def viz(chain, peaks): + last_pos = None + for pos, pol, nidx in chain: + if last_pos: + delta = int(round((pos - last_pos) / bit_period)) + if delta > 1: + print(f'skipped {delta-1} symbols at {pos}/{last_pos}') + + # Hole patching routine + for i in range(1, delta): + est_pos = last_pos + (pos - last_pos) / delta * i + + icandidates = [ (ipos, ipol, iidx) for ipos, ipol, iidx in peaks if abs(est_pos - ipos) < hole_patching_threshold ] + if not icandidates: + yield None + continue + + ipos, ipol, iidx = max(icandidates, key = lambda e: abs(e[1])) + + decoded = iidx*2 + (0 if ipol < 0 else 1) + print(f'interpolating, last_pos={last_pos}, delta={delta}, pos={pos}, est={est_pos} dec={decoded}') + yield decoded + + decoded = nidx*2 + (0 if pol < 0 else 1) + yield decoded + if ax: + ax.axvline(pos, color='blue', alpha=0.5) + ax.text(pos-20, 0.0, f'{decoded}', horizontalalignment='right', verticalalignment='center', color='black') + + last_pos = pos + + decoded = list(viz(chain, peaks_processed)) + print('decoding [ref|dec]:') + match_result = [] + for shift in range(-ser_maxshift, ser_maxshift): + msg = f'=== shift = {shift} ===\n' + failures = -shift if shift < 0 else 0 # we're skipping the first $shift symbols + a = test_data if shift > 0 else test_data[-shift:] + b = decoded if shift < 0 else decoded[shift:] + for i, (ref, found) in enumerate(itertools.zip_longest(a, b)): + if ref is None: # end of signal + break + msg += f'{ref if ref is not None else -1:>3d}|{found if found is not None else -1:>3d} {"✔" if ref==found else "✘" if found else " "} ' + if ref != found: + failures += 1 + if i%8 == 7: + msg += '\n' + match_result.append((failures, msg)) + failures, msg = min(match_result, key=lambda e: e[0]) + print(msg) + ser = failures/len(test_data) + print(f'Symbol error rate e={ser}: {failures}/{len(test_data)}') + br = sampling_rate / decimation / (2**nbits) * nbits * (1 - ser) * 3600 + print(f'maximum bitrate r={br} b/h') + return ser, br + + +# In[13]: + + +default_params = dict( + power_avg_width=2.5, + max_lookahead=6.5) + +def calculate_ser(reps, v, seed, nbits, thf, duration, decimation): + params = dict(default_params) + params['signal_amplitude'] = v + params['decimation'] = decimation + params['nbits'] = nbits + params['threshold_factor'] = thf + + out = [] + for _rep in range(reps): + sers, brs = [], [] + try: + ser, br = run_ser_test(**params, sample_duration=duration, print=noprint, seed=seed) + out.append((ser, br, None)) + except Exception as e: + #traceback.print_exc() + out.append((None, None, f'got {e} seed {seed:08x} params {params}')) + return out + +import argparse +parser = argparse.ArgumentParser() +parser.add_argument('-i', '--index', type=int, default=0) +parser.add_argument('-b', '--batches', type=int, default=1) +parser.add_argument('-z', '--chunksize', type=int, default=50) +parser.add_argument('-r', '--run-id', type=str, default='default') +group = parser.add_mutually_exclusive_group() +group.add_argument('-s', '--synthetic-noise', nargs='?', const='grid_freq_psd_spl_108pt.json', type=str) +group.add_argument('-m', '--measured-noise', nargs='?', default='fmeas_export_ocxo_2day.bin', const='fmeas_export_ocxo_2day.bin', type=str) +args = parser.parse_args() + +# scheduled = [ +# (5, 1.5, 50, 50, 128), +# (6, 2.0, 50, 50, 128), +# (6, 2.5, 50, 50, 128), +# (6, 3.0, 50, 50, 128), +# (6, 3.5, 50, 50, 128), +# (6, 4.0, 50, 50, 128), +# (6, 4.5, 50, 50, 128), +# (6, 5.0, 50, 50, 128), +# (6, 5.5, 50, 50, 128), +# (6, 6.0, 50, 50, 128), +# (6, 6.5, 50, 50, 128), +# (6, 7.0, 50, 50, 128), +# (6, 7.5, 50, 50, 128), +# (6, 8.0, 50, 50, 128), +# (6, 8.5, 50, 50, 128), +# (6, 9.0, 50, 50, 128), +# (6, 9.5, 50, 50, 128), +# (6, 10.0, 50, 50, 128), +# ] +#scheduled = [ (5, 4.0, 50, 70, 100, dec) for dec in list(range(19)) + [int(round(20 * 10**dec)) for dec in np.linspace(0, 0.7, 20)] ] #int(round(1 * 10**dec))) for dec in np.linspace(0, 2, 30) ] + +#param_name = 'par101' +#scheduled = [ (nbits, thf, 100, 30, duration, 10) for thf in [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0] for nbits, duration in [(5, 128), (6, 128), (7, 64), (8, 64)] ]# int(round(3 * 10**dec)) for dec in np.linspace(0, 2, 30) ] + +#param_name = 'par102' +#scheduled = [ (nbits, thf, 1000, 50, duration, int(round(3 * 10**dec))) for thf in [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0] for nbits, duration in [(5, 128), (6, 128), (7, 64), (8, 64)] for dec in np.linspace(0, 2, 30) ] + +#param_name = 'par103' +#scheduled = [ (nbits, thf, 1000, 50, duration, 10) for thf in [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0] for nbits, duration in [(5, 128), (6, 128), (7, 64), (8, 64)] ] + +#param_name = 'par105' +#scheduled = [ (nbits, thf, 1000, 30, duration, int(round(3 * 10**dec))) for thf in [2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0] for nbits, duration in [(5, 128), (6, 128)] for dec in np.linspace(0, 2, 30) ] + +#param_name = 'dbg106' +#scheduled = [ (nbits, thf, 20, 15, duration, 10) for thf in [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0] for nbits, duration in [(5, 128), (6, 128)] ] + +#param_name = 'par107' +#scheduled = [ (nbits, thf, 100, 30, duration, 10) for thf in [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0] for nbits, duration in [(5, 128), (6, 128), (7, 64), (8, 64)] ] + +#param_name = 'par108' +#scheduled = [ (nbits, thf, 100, 30, duration, int(round(3 * 10**dec))) for thf in [2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0] for nbits, duration in [(5, 128), (6, 128)] for dec in np.linspace(0, 2, 30) ] + +#param_name = 'par110' +#scheduled = [ (nbits, thf, 100, 30, duration, int(round(1 * 10**dec))) for thf in [3.5, 4.0, 4.5, 5.0] for nbits, duration in [(5, 128), (6, 128)] for dec in np.linspace(0.15, 2, 15) ] + +#param_name = 'par111' +#scheduled = [ (nbits, thf, 100, 30, duration, dec) for thf in [3.5, 4.0, 4.5, 5.0] for nbits, duration in [(5, 128), (6, 128)] for dec in [1, 2, 3, 4, 5, 6, 9, 12, 16, 22, 30, 40, 50] ] + +# Faster chip duration graph +#param_name = 'par112' +#scheduled = [ (nbits, thf, 50, 30, duration, dec) for thf in [4.0] for nbits, duration in [(5, 100)] for dec in [1, 2, 3, 4, 5, 6, 9, 12, 16, 22, 30, 40, 50] ] + +#param_name = 'par113' +#scheduled = [ (nbits, thf, 100, 30, duration, dec) for thf in [4.0, 4.5, 5.0, 5.5] for nbits, duration in [(5, 128), (6, 128)] for dec in [1, 2, 3, 4, 5, 6, 9, 12, 16, 22, 30, 40, 50] ] + +#param_name = 'par114' +#scheduled = [ (nbits, thf, 100, 30, duration, dec) for nbits, thf, duration in [(5, 4.0, 128), (6, 5.0, 128)] for dec in [1, 2, 3, 4, 5, 6, 9, 12, 16, 22, 30, 40, 50] ] + +# Extra amplitude for 5 and 6 bit graphs NOTE: accidental duplicate param_name, earlier run is above set, later run this one. +#param_name = 'par114' +param_name = 'par115' +scheduled = [ (nbits, thf, 100, 0.05e-3 * 10 ** np.linspace(0, 3.5, 50), duration, 10) for thf in [1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0] for nbits, duration in [(5, 128), (6, 128)] ] + +random.Random(0).shuffle(scheduled) +batch = scheduled[args.index::args.batches] +print('Parameter set name', param_name) + +if args.synthetic_noise is not None: + noise_params = load_noise_synth_params(args.synthetic_noise) + mains_noise = lambda n: mains_noise_synthetic(n, **noise_params) + noise_source = 'synth' +else: + noise_params = load_noise_meas_params(args.measured_noise) + mains_noise = lambda n: mains_noise_measured(n, **noise_params) + noise_source = 'meas' + +def chunked(n, size): + for start in range(0, n, size): + end = min(reps, start + size) + yield start, end + +results = {} +with tqdm(total = 0) as tq: + with multiprocessing.Pool(multiprocessing.cpu_count()) as pool: + #for nbits, thf, reps, points, duration in [(5, 4.0, 50, 25, 128), (6, 4.0, 50, 25, 128), (7, 5.0, 25, 25, 128), (8, 6.0, 25, 25, 64)]: + #for nbits, thf, reps, points, duration in [(6, 4.5, 5, 25, 128), (6, 5.0, 5, 25, 128)]: + for nbits, thf, reps, points, duration, decimation in batch: + st = np.random.RandomState(0) + + if isinstance(points, numbers.Number): + vs = 0.05e-3 * 10 ** np.linspace(0, 2.0, points) + points_id = points + else: + vs = points + points_id = len(vs) + tq.write('scheduled {}reps x {}pt {}b @ th={} t={}sym dec={}sp'.format(reps, points_id, nbits, thf, duration, decimation)) + results[(nbits, thf, reps, points_id, duration, decimation)] = { v: + [ pool.apply_async(calculate_ser, (end - start, v, st.randint(0xffffffff), nbits, thf, duration, decimation), callback=lambda _res: tq.update(end - start)) for start, end in chunked(reps, args.chunksize) ] + for v in vs } + tq.total += len(vs) * reps + tq.refresh() + + tq.write(f'scheduled {tq.total} tasks. waiting...') + pool.close() + pool.join() + + results = [ (key, [ (v, [ x for res in chunks for x in res.get() ]) for v, chunks in series.items() ]) for key, series in results.items() ] + tq.write('done') + + #sers, brs = np.array(sers), np.array(brs) + #ser, std = np.mean(sers), np.std(sers) + #print(f'signal_amplitude={v:<.5f}: ser={ser:<.5f} ±{std:<.5f}, br={np.mean(brs):<.5f}') + #return ser, std + +with open(f'dsss_experiments_res-{param_name}-{noise_source}-{args.run_id}-{args.index}-{datetime.datetime.now():%Y-%m-%d-%H-%M-%S}.json', 'w') as f: + json.dump(results, f) + print(f'Wrote results to {f.name}') + diff --git a/grid_frequency_spectra.ipynb b/tools/grid_frequency_spectra.ipynb similarity index 100% rename from grid_frequency_spectra.ipynb rename to tools/grid_frequency_spectra.ipynb diff --git a/rocof_test_data.py b/tools/rocof_test_data.py similarity index 100% rename from rocof_test_data.py rename to tools/rocof_test_data.py diff --git a/sweep_gr_sims.py b/tools/sweep_gr_sims.py similarity index 100% rename from sweep_gr_sims.py rename to tools/sweep_gr_sims.py