8b10b issues

24 files changed, 1093 insertions, 956 deletions

diff --git a/center-control/center.kicad_sch b/center-control/center.kicad_sch
index 06f4dae..c34e360 100644
--- a/center-control/center.kicad_sch
+++ b/center-control/center.kicad_sch
@@ -2881,10 +2881,6 @@
     (effects (font (size 1.27 1.27)) (justify right bottom))
     (uuid 20dbc7f5-e9f6-4b6d-b3ec-6ed5d5bbb2e5)
   )
-  (label "VIN_A" (at 85.09 96.52 0) (fields_autoplaced)
-    (effects (font (size 1.27 1.27)) (justify left bottom))
-    (uuid 271fb858-2a8c-42b7-a033-11e1072e40d8)
-  )
   (label "LED_A" (at 48.26 87.63 180) (fields_autoplaced)
     (effects (font (size 1.27 1.27)) (justify right bottom))
     (uuid 27982aec-7ccc-49e5-8f59-5375aedb82ea)
@@ -3021,10 +3017,6 @@
     (effects (font (size 1.27 1.27)) (justify left bottom))
     (uuid 90359cbc-00c6-4841-881e-e68415b25db7)
   )
-  (label "VIN_B" (at 85.09 99.06 0) (fields_autoplaced)
-    (effects (font (size 1.27 1.27)) (justify left bottom))
-    (uuid 926f24c8-ca1a-4c66-a1bb-ed63f3f15556)
-  )
   (label "TX_POK" (at 238.76 111.76 180) (fields_autoplaced)
     (effects (font (size 1.27 1.27)) (justify right bottom))
     (uuid a574ba14-a9e1-4902-8cd3-dd7d139505ee)
diff --git a/center_fw/.gdbinit b/center_fw/.gdbinit
index 2617c8f..d64d48e 100644
--- a/center_fw/.gdbinit
+++ b/center_fw/.gdbinit
@@ -18,3 +18,13 @@ end
 source ~/ref/PyCortexMDebug/cmdebug/svd_gdb.py
 svd_load ~/ref/stm32square/svd/STM32G030.svd
 
+define jdump
+    break gdb_dump
+    command $bpnum
+        dump binary value /tmp/dump_adc.bin adc_dump
+        dump binary value /tmp/dump_sym.bin sym_dump
+        dump binary value /tmp/dump_bit.bin bit_dump
+        dump binary value /tmp/dump_bit_idx.bin bit_dump_pos
+        continue
+    end
+end
diff --git a/center_fw/8b10b_table.json b/center_fw/8b10b_table.json
new file mode 100644
index 0000000..14e0e5a
--- /dev/null
+++ b/center_fw/8b10b_table.json
@@ -0,0 +1 @@
+{"628": ["D", 0, -1], "395": ["D", 0, 1], "468": ["D", 1, -1], "555": ["D", 1, 1], "724": ["D", 2, -1], "299": ["D", 2, 1], "795": ["D", 3, -1], "788": ["D", 3, 1], "852": ["D", 4, -1], "171": ["D", 4, 1], "667": ["D", 5, -1], "660": ["D", 5, 1], "411": ["D", 6, -1], "404": ["D", 6, 1], "907": ["D", 7, -1], "116": ["D", 7, 1], "916": ["D", 8, -1], "107": ["D", 8, 1], "603": ["D", 9, -1], "596": ["D", 9, 1], "347": ["D", 10, -1], "340": ["D", 10, 1], "843": ["D", 11, -1], "836": ["D", 11, 1], "219": ["D", 12, -1], "212": ["D", 12, 1], "715": ["D", 13, -1], "708": ["D", 13, 1], "459": ["D", 14, -1], "452": ["D", 14, 1], "372": ["D", 15, -1], "651": ["D", 15, 1], "436": ["D", 16, -1], "587": ["D", 16, 1], "571": ["D", 17, -1], "564": ["D", 17, 1], "315": ["D", 18, -1], "308": ["D", 18, 1], "811": ["D", 19, -1], "804": ["D", 19, 1], "187": ["D", 20, -1], "180": ["D", 20, 1], "683": ["D", 21, -1], "676": ["D", 21, 1], "427": ["D", 22, -1], "420": ["D", 22, 1], "932": ["D", 23, -1], "91": ["D", 23, 1], "820": ["D", 24, -1], "203": ["D", 24, 1], "619": ["D", 25, -1], "612": ["D", 25, 1], "363": ["D", 26, -1], "356": ["D", 26, 1], "868": ["D", 27, -1], "155": ["D", 27, 1], "235": ["D", 28, -1], "228": ["D", 28, 1], "740": ["D", 29, -1], "283": ["D", 29, 1], "484": ["D", 30, -1], "539": ["D", 30, 1], "692": ["D", 31, -1], "331": ["D", 31, 1], "633": ["D", 32, -1], "393": ["D", 32, 1], "473": ["D", 33, -1], "553": ["D", 33, 1], "729": ["D", 34, -1], "297": ["D", 34, 1], "793": ["D", 35, 1], "857": ["D", 36, -1], "169": ["D", 36, 1], "665": ["D", 37, 1], "409": ["D", 38, 1], "905": ["D", 39, -1], "121": ["D", 39, 1], "921": ["D", 40, -1], "105": ["D", 40, 1], "601": ["D", 41, 1], "345": ["D", 42, 1], "841": ["D", 43, 1], "217": ["D", 44, 1], "713": ["D", 45, 1], "457": ["D", 46, 1], "377": ["D", 47, -1], "649": ["D", 47, 1], "441": ["D", 48, -1], "585": ["D", 48, 1], "569": ["D", 49, 1], "313": ["D", 50, 1], "809": ["D", 51, 1], "185": ["D", 52, 1], "681": ["D", 53, 1], "425": ["D", 54, 1], "937": ["D", 55, -1], "89": ["D", 55, 1], "825": ["D", 56, -1], "201": ["D", 56, 1], "617": ["D", 57, 1], "361": ["D", 58, 1], "873": ["D", 59, -1], "153": ["D", 59, 1], "233": ["D", 60, 1], "745": ["D", 61, -1], "281": ["D", 61, 1], "489": ["D", 62, -1], "537": ["D", 62, 1], "697": ["D", 63, -1], "329": ["D", 63, 1], "629": ["D", 64, -1], "389": ["D", 64, 1], "469": ["D", 65, -1], "549": ["D", 65, 1], "725": ["D", 66, -1], "293": ["D", 66, 1], "789": ["D", 67, 1], "853": ["D", 68, -1], "165": ["D", 68, 1], "661": ["D", 69, 1], "405": ["D", 70, 1], "901": ["D", 71, -1], "117": ["D", 71, 1], "917": ["D", 72, -1], "101": ["D", 72, 1], "597": ["D", 73, 1], "341": ["D", 74, 1], "837": ["D", 75, 1], "213": ["D", 76, 1], "709": ["D", 77, 1], "453": ["D", 78, 1], "373": ["D", 79, -1], "645": ["D", 79, 1], "437": ["D", 80, -1], "581": ["D", 80, 1], "565": ["D", 81, 1], "309": ["D", 82, 1], "805": ["D", 83, 1], "181": ["D", 84, 1], "677": ["D", 85, 1], "421": ["D", 86, 1], "933": ["D", 87, -1], "85": ["D", 87, 1], "821": ["D", 88, -1], "197": ["D", 88, 1], "613": ["D", 89, 1], "357": ["D", 90, 1], "869": ["D", 91, -1], "149": ["D", 91, 1], "229": ["D", 92, 1], "741": ["D", 93, -1], "277": ["D", 93, 1], "485": ["D", 94, -1], "533": ["D", 94, 1], "693": ["D", 95, -1], "325": ["D", 95, 1], "627": ["D", 96, -1], "396": ["D", 96, 1], "467": ["D", 97, -1], "556": ["D", 97, 1], "723": ["D", 98, -1], "300": ["D", 98, 1], "796": ["D", 99, -1], "787": ["D", 99, 1], "851": ["D", 100, -1], "172": ["D", 100, 1], "668": ["D", 101, -1], "659": ["D", 101, 1], "412": ["D", 102, -1], "403": ["D", 102, 1], "908": ["D", 103, -1], "115": ["D", 103, 1], "915": ["D", 104, -1], "108": ["D", 104, 1], "604": ["D", 105, -1], "595": ["D", 105, 1], "348": ["D", 106, -1], "339": ["D", 106, 1], "844": ["D", 107, -1], "835": ["D", 107, 1], "220": ["D", 108, -1], "211": ["D", 108, 1], "716": ["D", 109, -1], "707": ["D", 109, 1], "460": ["D", 110, -1], "451": ["D", 110, 1], "371": ["D", 111, -1], "652": ["D", 111, 1], "435": ["D", 112, -1], "588": ["D", 112, 1], "572": ["D", 113, -1], "563": ["D", 113, 1], "316": ["D", 114, -1], "307": ["D", 114, 1], "812": ["D", 115, -1], "803": ["D", 115, 1], "188": ["D", 116, -1], "179": ["D", 116, 1], "684": ["D", 117, -1], "675": ["D", 117, 1], "428": ["D", 118, -1], "419": ["D", 118, 1], "931": ["D", 119, -1], "92": ["D", 119, 1], "819": ["D", 120, -1], "204": ["D", 120, 1], "620": ["D", 121, -1], "611": ["D", 121, 1], "364": ["D", 122, -1], "355": ["D", 122, 1], "867": ["D", 123, -1], "156": ["D", 123, 1], "236": ["D", 124, -1], "227": ["D", 124, 1], "739": ["D", 125, -1], "284": ["D", 125, 1], "483": ["D", 126, -1], "540": ["D", 126, 1], "691": ["D", 127, -1], "332": ["D", 127, 1], "626": ["D", 128, -1], "397": ["D", 128, 1], "466": ["D", 129, -1], "557": ["D", 129, 1], "722": ["D", 130, -1], "301": ["D", 130, 1], "797": ["D", 131, -1], "786": ["D", 131, 1], "850": ["D", 132, -1], "173": ["D", 132, 1], "669": ["D", 133, -1], "658": ["D", 133, 1], "413": ["D", 134, -1], "402": ["D", 134, 1], "909": ["D", 135, -1], "114": ["D", 135, 1], "914": ["D", 136, -1], "109": ["D", 136, 1], "605": ["D", 137, -1], "594": ["D", 137, 1], "349": ["D", 138, -1], "338": ["D", 138, 1], "845": ["D", 139, -1], "834": ["D", 139, 1], "221": ["D", 140, -1], "210": ["D", 140, 1], "717": ["D", 141, -1], "706": ["D", 141, 1], "461": ["D", 142, -1], "450": ["D", 142, 1], "370": ["D", 143, -1], "653": ["D", 143, 1], "434": ["D", 144, -1], "589": ["D", 144, 1], "573": ["D", 145, -1], "562": ["D", 145, 1], "317": ["D", 146, -1], "306": ["D", 146, 1], "813": ["D", 147, -1], "802": ["D", 147, 1], "189": ["D", 148, -1], "178": ["D", 148, 1], "685": ["D", 149, -1], "674": ["D", 149, 1], "429": ["D", 150, -1], "418": ["D", 150, 1], "930": ["D", 151, -1], "93": ["D", 151, 1], "818": ["D", 152, -1], "205": ["D", 152, 1], "621": ["D", 153, -1], "610": ["D", 153, 1], "365": ["D", 154, -1], "354": ["D", 154, 1], "866": ["D", 155, -1], "157": ["D", 155, 1], "237": ["D", 156, -1], "226": ["D", 156, 1], "738": ["D", 157, -1], "285": ["D", 157, 1], "482": ["D", 158, -1], "541": ["D", 158, 1], "690": ["D", 159, -1], "333": ["D", 159, 1], "634": ["D", 160, -1], "394": ["D", 160, 1], "474": ["D", 161, -1], "554": ["D", 161, 1], "730": ["D", 162, -1], "298": ["D", 162, 1], "794": ["D", 163, 1], "858": ["D", 164, -1], "170": ["D", 164, 1], "666": ["D", 165, 1], "410": ["D", 166, 1], "906": ["D", 167, -1], "122": ["D", 167, 1], "922": ["D", 168, -1], "106": ["D", 168, 1], "602": ["D", 169, 1], "346": ["D", 170, 1], "842": ["D", 171, 1], "218": ["D", 172, 1], "714": ["D", 173, 1], "458": ["D", 174, 1], "378": ["D", 175, -1], "650": ["D", 175, 1], "442": ["D", 176, -1], "586": ["D", 176, 1], "570": ["D", 177, 1], "314": ["D", 178, 1], "810": ["D", 179, 1], "186": ["D", 180, 1], "682": ["D", 181, 1], "426": ["D", 182, 1], "938": ["D", 183, -1], "90": ["D", 183, 1], "826": ["D", 184, -1], "202": ["D", 184, 1], "618": ["D", 185, 1], "362": ["D", 186, 1], "874": ["D", 187, -1], "154": ["D", 187, 1], "234": ["D", 188, 1], "746": ["D", 189, -1], "282": ["D", 189, 1], "490": ["D", 190, -1], "538": ["D", 190, 1], "698": ["D", 191, -1], "330": ["D", 191, 1], "630": ["D", 192, -1], "390": ["D", 192, 1], "470": ["D", 193, -1], "550": ["D", 193, 1], "726": ["D", 194, -1], "294": ["D", 194, 1], "790": ["D", 195, 1], "854": ["D", 196, -1], "166": ["D", 196, 1], "662": ["D", 197, 1], "406": ["D", 198, 1], "902": ["D", 199, -1], "118": ["D", 199, 1], "918": ["D", 200, -1], "102": ["D", 200, 1], "598": ["D", 201, 1], "342": ["D", 202, 1], "838": ["D", 203, 1], "214": ["D", 204, 1], "710": ["D", 205, 1], "454": ["D", 206, 1], "374": ["D", 207, -1], "646": ["D", 207, 1], "438": ["D", 208, -1], "582": ["D", 208, 1], "566": ["D", 209, 1], "310": ["D", 210, 1], "806": ["D", 211, 1], "182": ["D", 212, 1], "678": ["D", 213, 1], "422": ["D", 214, 1], "934": ["D", 215, -1], "86": ["D", 215, 1], "822": ["D", 216, -1], "198": ["D", 216, 1], "614": ["D", 217, 1], "358": ["D", 218, 1], "870": ["D", 219, -1], "150": ["D", 219, 1], "230": ["D", 220, 1], "742": ["D", 221, -1], "278": ["D", 221, 1], "486": ["D", 222, -1], "534": ["D", 222, 1], "694": ["D", 223, -1], "326": ["D", 223, 1], "625": ["D", 224, -1], "398": ["D", 224, 1], "465": ["D", 225, -1], "558": ["D", 225, 1], "721": ["D", 226, -1], "302": ["D", 226, 1], "798": ["D", 227, -1], "785": ["D", 227, 1], "849": ["D", 228, -1], "174": ["D", 228, 1], "670": ["D", 229, -1], "657": ["D", 229, 1], "414": ["D", 230, -1], "401": ["D", 230, 1], "910": ["D", 231, -1], "113": ["D", 231, 1], "913": ["D", 232, -1], "110": ["D", 232, 1], "606": ["D", 233, -1], "593": ["D", 233, 1], "350": ["D", 234, -1], "337": ["D", 234, 1], "846": ["D", 235, -1], "840": ["D", 235, 1], "222": ["D", 236, -1], "209": ["D", 236, 1], "718": ["D", 237, -1], "712": ["D", 237, 1], "462": ["D", 238, -1], "456": ["D", 238, 1], "369": ["D", 239, -1], "654": ["D", 239, 1], "433": ["D", 240, -1], "590": ["D", 240, 1], "567": ["D", 241, -1], "561": ["D", 241, 1], "311": ["D", 242, -1], "305": ["D", 242, 1], "814": ["D", 243, -1], "801": ["D", 243, 1], "183": ["D", 244, -1], "177": ["D", 244, 1], "686": ["D", 245, -1], "673": ["D", 245, 1], "430": ["D", 246, -1], "417": ["D", 246, 1], "929": ["D", 247, -1], "94": ["D", 247, 1], "817": ["D", 248, -1], "206": ["D", 248, 1], "622": ["D", 249, -1], "609": ["D", 249, 1], "366": ["D", 250, -1], "353": ["D", 250, 1], "865": ["D", 251, -1], "158": ["D", 251, 1], "238": ["D", 252, -1], "225": ["D", 252, 1], "737": ["D", 253, -1], "286": ["D", 253, 1], "481": ["D", 254, -1], "542": ["D", 254, 1], "689": ["D", 255, -1], "334": ["D", 255, 1], "244": ["K28.0", 28, -1], "779": ["K28.0", 28, 1], "249": ["K28.1", 60, -1], "774": ["K28.1", 60, 1], "245": ["K28.2", 92, -1], "778": ["K28.2", 92, 1], "243": ["K28.3", 124, -1], "780": ["K28.3", 124, 1], "242": ["K28.4", 156, -1], "781": ["K28.4", 156, 1], "250": ["K28.5", 188, -1], "773": ["K28.5", 188, 1], "246": ["K28.6", 220, -1], "777": ["K28.6", 220, 1], "248": ["K28.7", 252, -1], "775": ["K28.7", 252, 1], "936": ["K23.7", 247, -1], "87": ["K23.7", 247, 1], "872": ["K27.7", 251, -1], "151": ["K27.7", 251, 1], "744": ["K29.7", 253, -1], "279": ["K29.7", 253, 1], "488": ["K30.7", 254, -1], "535": ["K30.7", 254, 1]}
\ No newline at end of file
diff --git a/center_fw/Makefile b/center_fw/Makefile
index 681eb35..9c4872d 100644
--- a/center_fw/Makefile
+++ b/center_fw/Makefile
@@ -9,7 +9,7 @@ MUSL_DIR			?= upstream/musl
 # Algorithm parameters
 ########################################################################################################################
 
-# - none -
+MODULE_ADDRESS ?= 0
 
 ########################################################################################################################
 # High-level build parameters
@@ -30,7 +30,7 @@ DEVICE 			:= STM32G030F4
 
 ASM_SOURCES 		:= startup.s
 
-C_SOURCES		 	:= src/main.c common/8b10b.c
+C_SOURCES		 	:= src/main.c common/8b10b.c common/crc32.c common/xorshift.c
 
 CPP_SOURCES			:= # - none -
 
@@ -92,6 +92,7 @@ CFLAGS			+= -fno-common -ffunction-sections -fdata-sections
 COMMON_CFLAGS	+= -O$(OPT) -std=gnu2x -g
 COMMON_CFLAGS 	+= $(DEVICE_DEFINES)
 COMMON_CFLAGS 	+= -DDEBUG=$(DEBUG)
+COMMON_CFLAGS 	+= -DCONFIG_MODULE_ADDRESS=$(MODULE_ADDRESS)
 
 GEN_HEADERS 	:= $(BUILDDIR)/generated/waveform_tables.h
 
diff --git a/center_fw/gamma.py b/center_fw/gamma.py
new file mode 100644
index 0000000..2328724
--- /dev/null
+++ b/center_fw/gamma.py
@@ -0,0 +1,7 @@
+#!/usr/bin/env python3
+
+import numpy as np
+
+gamma = 2.2
+out = np.linspace(0, 1, 17) ** 2.2
+print(np.round(out * 24000).astype(int))
diff --git a/center_fw/match_test.ipynb b/center_fw/match_test.ipynb
index 018afce..b450bba 100644
--- a/center_fw/match_test.ipynb
+++ b/center_fw/match_test.ipynb
@@ -2,13 +2,14 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 85,
    "id": "1ebba6a4-0f66-4e99-8363-7d9e227b4949",
    "metadata": {},
    "outputs": [],
    "source": [
     "from matplotlib import pyplot as plt\n",
     "import numpy as np\n",
+    "from pathlib import Path\n",
     "%matplotlib widget"
    ]
   },
@@ -16,7 +17,11 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "5f1575d2-d501-46ef-97d5-9d20d1259e4f",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -660,7 +665,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 151,
    "id": "7aec49eb-6f78-4aaf-b0e4-e9b7e2ce517e",
    "metadata": {},
    "outputs": [
@@ -673,12 +678,32 @@
     }
    ],
    "source": [
-    "def print_rl(*bits):\n",
+    "def print_rl(*bits, break_groups={}, split_each=None, split_offset=0):\n",
     "    import itertools\n",
+    "    split_char = ' '\n",
+    "\n",
+    "    def out(c):\n",
+    "        nonlocal split_each, split_offset, split_char\n",
+    "        print(c, end='')\n",
+    "        \n",
+    "        if split_each:\n",
+    "            split_offset += 1\n",
+    "            if split_offset == split_each:\n",
+    "                split_offset = 0\n",
+    "                print(split_char, end='')\n",
+    "                split_char = ' '\n",
+    "            \n",
     "    for key, group in itertools.groupby(bits):\n",
     "        group = list(group)\n",
     "        print(f'\\033[38;5;{hash(len(group))&0xff}m', end='')\n",
-    "        print(''.join(map(str, group)), end='')\n",
+    "        group = ''.join(map(str, group))\n",
+    "        for c in group:\n",
+    "            out(c)\n",
+    "        if group in break_groups:\n",
+    "            if split_each:\n",
+    "                split_char = '\\n'\n",
+    "            else:\n",
+    "                print()\n",
     "\n",
     "print_rl(0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, \n",
     "  1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, \n",
@@ -800,9 +825,21 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
+   "id": "3d259cd0-831c-4e2e-aba4-29bb0482c4a1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
    "execution_count": 38,
    "id": "a8ceb032-ae6a-4d8e-9f51-55d348527249",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [
     {
      "data": {
@@ -1018,6 +1055,522 @@
     "    if e & 0x80:\n",
     "        ax.axvline(i, color='red', alpha=0.3)\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "db1e1830-4f9f-4bb8-af7e-cd9355ce95a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.lines.Line2D at 0x7f007a121b90>"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d7314bc3068844b88615378c06e67eaa",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
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+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img src='data:image/png;base64,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' 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+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x = np.linspace(0, np.pi, 1000)\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(x/np.pi * 100, np.sin(x) * 24)\n",
+    "ax.axhline(14)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "0804e140-cc2c-47cc-9b21-96f94b6af205",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([    0,    54,   247,   604,  1137,  1857,  2774,  3894,  5223,\n",
+       "        6768,  8534, 10525, 12745, 15199, 17891, 20823, 24000])"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6a74cd1c7a8e486891e0b64f4d053a91",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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jgdDABwKg99nKzFKQfVPLiOvh7bT7V8PM2O5DR4/3ajU8AAAKDU1xsytDjloDxs0ovDOlP+cAYKIAAAbiQr95T+sWijJGnMgJbq2rS+yYngjCiAAAC4CcMwNHHBRh07UawO4QF68NJWZkeCk6IAAgDgJuavSddPW7Pk4+Whl4Z3kY8Xb/OoGM8MAADcQPrRE/rXV1skSY/EtVbrUH+TE8GZUQABAHBxdoehhz9Zr4Iiu3o0a6C7+jY3OxKcHAUQAAAXN3vFHq3ee1R1fDz1fzd2lqeHzexIcHIUQAAAXNj2Q3l64bttkqQn/tZeTYNqm5wIroACCACAiyoqcWj8/BQV2R26tG2IhnePMDsSXAQFEAAAF/X6Tzu0+WCu6tX21rPXdZTNxqlfnBsKIAAALig57Zje+M8uSdIzQzsqJMDP5ERwJRRAAABcTH5hiR7+ZL3sDkNXdw7XVZ0amR0JLoYCCACACzEMQ/9YuFG7swsUFuCnKdd0MDsSXBAFEAAAF/LJ2nQtSjkoTw+bXrulq+rV9jE7ElwQBRAAABexNTNXTy7eLEl6OK61ujdrYHIiuCoKIAAALqCgsERj5q1TYYlDF7duqNH9W5gdCS6MAggAgJMzDENPLNqkXYcLFBrgq2nDOsuD2T5QCRRAAACc3KdJ+7Ug+YA8bNJrN3dTUF1fsyPBxVEAAQBwYtsP5enJxZskSQ/HtVGPKK77Q+VRAAEAcFInikp0/7x1OlXsUL9WwbrvYq77Q9WgAAIA4KSeXLxZO7PyFeLvq5eGd+G6P1QZCiAAAE7os6T9+ixpvzxs0qs3d1Uw1/2hClEAAQBwMjsO5emJRaXX/Y2/vLUuah5kciK4GwogAABO5GSRXWM+XKeTxXb1bRms+we0NDsS3BAFEAAAJ/LUF5u0/VC+Gv5+3Z8n1/2hGlAAAQBwEgvW7dcna0uv+3vlpi5q6M91f6geFEAAAJzAzqw8TV5Yet3fQ5e1Vu8WwSYngjujAAIAYLKTRXaNmZesk8V29W4RpAcu5bo/VC8KIAAAJnv6y83adihPwXV99fJNXPeH6kcBBADARIuSD+jjNemy/X7dX4i/n9mRYAEUQAAATLLrcL4eX7hRkvTgpa3UpyXX/aFmUAABADDBqWK7xsxbpxNFdl3UvIEeuqyV2ZFgIRRAAABM8PSXW7Q1M0/BdX306k1due4PNYoCCABADVucckAfrU6TzSa9NLyLQgK47g81iwIIAEAN2n04X48vKL3u74EBLdWvVUOTE8GKKIAAANSQU8V2jfkwWQVFdvWM4ro/mIcCCABADfnXV1uUmpGroDo+evXmrvLy5G0Y5uCZBwBADfhy/UHN++2/1/2Fct0fTEQBBACgmu3NLtCk36/7u/+SFurfmuv+YC4KIAAA1aj0ur91yi8sUY9mDTT+8tZmRwIogAAAVKepS1K1+WCuGtTx0Ss3d+G6PzgFnoUAAFSTJRszNPeXfZKkacM6q1FgLZMTAaUogAAAVIN9Rwr02GcbJEn3XdJCl7QJMTkR8F8UQAAAqlhhSel1f3mFJYqNrK+Hr+C6PzgXCiAAAFUsYclWbTqQq/q1vRnvD06JZyQAAFXom40ZmrNqryRp2rAuCq/HdX9wPhRAAACqSNqRE3r089Lr/u69uLkGtOW6PzgnCiAAAFWgsMSuBz5ap7xTJYqJrK9H4tqYHQk4KwogAABV4NlvtmrD/hwF1iq97s+b6/7gxHh2AgBQSYtTDujdlXslSS/e2FmNue4PTo4CCABAJaxPP65H/2e8v8vbh5qcCPhrFEAAAC5QVu4p3fP+WhWWOHRZ2xCu+4PLoAACAHABThXbdc/7STqUW6iWIXX18k1d5OlhMzsWcE4ogAAAnCfDMPT4go1KST+uwFremjUyVv5+3mbHAs4ZBRAAgPM0a/keLUg+IE8Pm6bf2k3NguuYHQk4LxRAAADOw8/bspTwTaok6Ymr2qlPy2CTEwHnz60K4PTp0xUVFSU/Pz/FxMRo+fLlf7p+YWGhJk+erMjISPn6+qpFixaaPXt2DaUFALianVn5GvthshyGdFP3CN3eu5nZkYAL4mV2gKoyf/58jRs3TtOnT1efPn301ltvadCgQdqyZYuaNm1a4TbDhg3ToUOH9M4776hly5bKyspSSUlJDScHALiCnBPFumfuWuUVlqh7s/qack20bDZu+oBrshmGYZgdoir07NlT3bp104wZM8qWtWvXTkOHDlVCQsIZ63/77be66aabtHv3bjVo0OCCvmdubq4CAwOVk5OjgICAC84OAHBuJXaHRr23Vsu2H1Z4oJ++eLCvguv6mh0LF4j3bzc5BVxUVKSkpCTFxcWVWx4XF6dVq1ZVuM0XX3yh2NhYPf/882rcuLFat26tRx55RCdPnqyJyAAAF/LsN1u1bPth1fL21Nu3x1L+4PLc4hRwdna27Ha7QkPLj74eGhqqzMzMCrfZvXu3VqxYIT8/Py1cuFDZ2dm6//77dfTo0bNeB1hYWKjCwsKyj3Nzc6tuJwAATunTtematWKPJOn/buysDuGBJicCKs8tjgCe9sdrMQzDOOv1GQ6HQzabTfPmzVOPHj00ePBgTZs2TXPmzDnrUcCEhAQFBgaWPSIiIqp8HwAAziNp3zFNXrhJkjT2sla6qlMjkxMBVcMtCmBwcLA8PT3PONqXlZV1xlHB0xo1aqTGjRsrMPC/f8m1a9dOhmFo//79FW4zadIk5eTklD3S09OrbicAAE4lI+ek7n0/SUV2hwZ2CNW4y1qZHQmoMm5RAH18fBQTE6PExMRyyxMTE9W7d+8Kt+nTp48OHjyo/Pz8smXbt2+Xh4eHmjRpUuE2vr6+CggIKPcAALifk0V23TM3Sdn5hWob5q9pw7rIg2ne4EbcogBKUnx8vGbNmqXZs2crNTVV48ePV1pamkaPHi2p9OjdyJEjy9a/5ZZbFBQUpDvvvFNbtmzRsmXLNGHCBI0aNUq1atUyazcAACYzDEOPfr5BGw/kqEEdH709MlZ1fN3iknmgjNs8o4cPH64jR45oypQpysjIUHR0tJYsWaLIyEhJUkZGhtLS0srWr1u3rhITE/Xggw8qNjZWQUFBGjZsmP7973+btQsAACcw/T+79OX6g/L6fZq3iAa1zY4EVDm3GQfQDIwjBADuJXHLId3z/loZhvTMtdG6tWek2ZFQDXj/dqNTwAAAVMb2Q3ka93GyDEMacVEk5Q9ujQIIALC8YwVFuvu9tSoosuui5g305JD2ZkcCqhUFEABgacV2h+6ft05pR08ookEtTb81Rt6evD3CvfEMBwBY2r+/2qJfdh9RHR9PzRrZXQ3q+JgdCah2FEAAgGV9+Fua3vtlnyTppeFd1CbM3+REQM2gAAIALOm33Uf05OLSad4eiWutuA5hJicCag4FEABgOfuPndB989apxGHob50aacyAlmZHAmoUBRAAYCkFhSW6+721OlpQpA7hAXrhhs6y2ZjmDdZCAQQAWIbDYeiRT9dra2aeguuWTvNWy8fT7FhAjaMAAgAs45Ufd+ibTZny9rTprRExCq/H3O+wJgogAMASlmzM0Cs/7pAkPTO0o2IiG5icCDAPBRAA4PY2H8zRw5+slySN6hOlYd0jTE4EmIsCCABwa9n5hbpnbpJOFtvVr1WwHh/c1uxIgOkogAAAt1VU4tB9HyTpwPGTahZUW6/f3E1eTPMGUAABAO7JMAw9uXiT1uw9Jn9fL826PVaBtb3NjgU4BQogAMAtzf1lnz5eky6bTXr15q5qGcI0b8BpFEAAgNv5z7YsTflqiyRp4pVtNaBtiMmJAOdCAQQAuJXktGO674N1sjsMXde1se7p39zsSIDToQACANzGzqx8jZqzpuyO32ev78Q0b0AFKIAAALeQmXNKt89erWMnitW5SaDevC1GPl68zQEV4TcDAODyck4U6/bZq3Xg+ElFBdfR7Du6q46vl9mxAKdFAQQAuLRTxXbdPXeNth3KU4i/r+aO6qGgur5mxwKcGgUQAOCySuwOPfBhculYf35eem9UD0U0qG12LMDpUQABAC7JMAz9Y9Em/ZB6SD5eHpo1MlbtGgWYHQtwCRRAAIBLmpa4XR+vSZeHTXrt5q7q2TzI7EiAy6AAAgBcznur9uq1n3ZKkv49tKMGdggzORHgWiiAAACX8tWGg/rnl5slSfFXtNYtPZuanAhwPRRAAIDLWLkzW+Pnp8gwpBEXRerBS1uaHQlwSRRAAIBL2HQgR/e+n6Riu6HBHcP0z6s7MMsHcIEogAAAp7fvSIHueHe18gtL1Kt5kF4a3kWeHpQ/4EJRAAEATu1wXqFGvLNa2flFat8oQG+NjJGvl6fZsQCXRgEEADitvFPFuuPd1Uo7ekIRDWppzqjuCvDzNjsW4PIogAAAp1RYYte97ydp88FcBdf10fujeirE38/sWIBboAACAJyO3WEofv56rdp1RHV8PDXnzh5qFlzH7FiA26AAAgCcimEYevrLzfp6Y4a8PW2aOTJW0Y0DzY4FuBUKIADAqbz+007N/WWfbDbppeFd1KdlsNmRALdDAQQAOI2PVqfpxcTtkqSn/tZef+sUbnIiwD1RAAEATuG7zZmavHCjJOmBAS11R58okxMB7osCCAAw3W+7j+jBj5LlMKThsRF6OK612ZEAt0YBBACYamtmru6eu1ZFJQ5d3i5Uz1wbzRRvQDWjAAIATJN+9IRGvrNaeadK1L1Zfb1+S1d5efLWBFQ3fssAAKY4WlCk22evVlZeoVqH1tWskd3l580Ub0BNoAACAGpcQWGJ7pyzRruzC9S4Xi3NHdVTgbWZ4g2oKRRAAECNKrY7dN+8dVqfflz1a3vrvVE9FBbIFG9ATaIAAgBqjMNh6NHPNmjZ9sOq5e2p2Xd0V8uQumbHAiyHAggAqDEJ36RqYfIBeXnYNOO2buratL7ZkQBLogACAGrEzGW79PbyPZKk52/opEvahJicCLAuCiAAoNp9vDpNU5dslSRNHtxO13VrYnIiwNoogACAavXhb2mauKB0ird7+jfX3/s3NzkRAAogAKDavP/rPj3++/y+o/pEadKgtiYnAiBJXmYHAAC4p7m/7NWTizdLkv7eL0qPD27HFG+Ak6AAAgCq3Lsr9+jpL7dIku69uLkmXtmW8gc4EQogAKBKzVq+W//+OlWSdN8lLfTowDaUP8DJUAABAFXm7WW79cyS0vL3wICWejiuNeUPcEIUQABAlXhz6S49+03pUC9jL2ul8Ze3ovwBTooCCACotDd+3qkXvtsmSRp3eSuNu7y1yYkA/BkKIACgUl77cYdeTNwuSXr4itZ68LJWJicC8FfcahzA6dOnKyoqSn5+foqJidHy5cvPabuVK1fKy8tLXbp0qd6AAOBmXv5he1n5mzCwDeUPcBFuUwDnz5+vcePGafLkyUpOTla/fv00aNAgpaWl/el2OTk5GjlypC677LIaSgoArs8wDE1L3K6Xf9ghSXrsyrYaM6ClyakAnCubYRiG2SGqQs+ePdWtWzfNmDGjbFm7du00dOhQJSQknHW7m266Sa1atZKnp6cWLVqklJSUc/6eubm5CgwMVE5OjgICAioTHwBcxuny99pPOyVJjw9uq3v6tzA5FXDueP92kyOARUVFSkpKUlxcXLnlcXFxWrVq1Vm3e/fdd7Vr1y499dRT5/R9CgsLlZubW+4BAFZiGIZe+G5bWfn7x1XtKH+AC3KLApidnS273a7Q0NByy0NDQ5WZmVnhNjt27NDEiRM1b948eXmd270wCQkJCgwMLHtERERUOjsAuArDMPTst1s1/T+7JElP/q297u7X3ORUAC6EWxTA0/443pRhGBWOQWW323XLLbfo6aefVuvW5z5UwaRJk5STk1P2SE9Pr3RmAHAFhmFo6pJUvbV0tyTp6as7aFTfKJNTAbhQbjEMTHBwsDw9Pc842peVlXXGUUFJysvL09q1a5WcnKwHHnhAkuRwOGQYhry8vPT999/r0ksvPWM7X19f+fr6Vs9OAICTMgxD//oqVbNX7pEk/WtotEZcFGlyKgCV4RYF0MfHRzExMUpMTNS1115btjwxMVHXXHPNGesHBARo48aN5ZZNnz5dP/30kz777DNFRfFXLQBIpeXv6S+3aM6qvZKkZ66N1q09KX+Aq3OLAihJ8fHxGjFihGJjY9WrVy/NnDlTaWlpGj16tKTS07cHDhzQ3Llz5eHhoejo6HLbh4SEyM/P74zlAGBVhmHoqS82a+4v+yRJCdd11M09mpqcCkBVcJsCOHz4cB05ckRTpkxRRkaGoqOjtWTJEkVGlv6lmpGR8ZdjAgIASjkchp78YpM++DVNNpv03HWdNKw7N74B7sJtxgE0A+MIAXBHDoehyYs26aPVpeXvhRs664aYJmbHAqoM799udAQQAFB5Doehxxdu1Mdr0uVhk/7vxs66rhvlD3A3FEAAgCTJ7jA08fMN+jRpvzxs0kvDu+iaLo3NjgWgGlAAAQCyOwxN+Gy9Fqw7IA+b9PJNXXV153CzYwGoJhRAALA4u8PQI5+u18LkA/L0sOmVm7rob50of4A7owACgIWV2B16+NP1WpxyUF4eNr16c1cN7tjI7FgAqhkFEAAsqsTu0PhP1uvL9aXl7/VbuunK6DCzYwGoARRAALCgYrtD4z5O0dcbM+TtadMbt3RTXAfKH2AVFEAAsJgTRSUa+1GyfkjNko+nh6bf2k2Xtz9z3nQA7osCCAAWcjivUHe/t0br9+fI18tDM27rpkvbUv4Aq6EAAoBF7DqcrzveXa30oydVv7a3Zt0eq5jIBmbHAmACCiAAWMDavUd199y1On6iWE0b1NacO7urecO6ZscCYBIKIAC4uSUbMzRufoqKShzqHFFP79weq+C6vmbHAmAiCiAAuCnDMPTOij16ZkmqDEO6on2oXr2pq2r5eJodDYDJKIAA4IbsDkP/+mqL5qzaK0ka2StSTw3pIE8Pm7nBADgFCiAAuJmTRXaNm5+s7zYfkiRNHtxOd/eLks1G+QNQigIIAG7kSH6h7p67Vslpx+Xj6aFpwzszry+AM1AAAcBN7M0u0B3vrtbeIycUWMtbb4+MVY8ohnkBcCYKIAC4gXVpx3T3e2t1tKBITerX0pw7e6hlCMO8AKgYBRAAXNy3mzL10MfJKixxqGPjQL1zR6xC/P3MjgXAiVEAAcCFzVm5R09/tUWGIV3aNkSv3dxVdXx5aQfw53iVAAAX5HAYmrokVbNW7JEk3dKzqaZc3UFenh4mJwPgCiiAAOBiThXbFf9JipZszJQkPXplG913cQuGeQFwziiAAOBCjhUU6e9z12rtvmPy9rTp/27srGu6NDY7FgAXQwEEABeRduSE7pizWrsPF8jfz0szR8SqV4sgs2MBcEEUQABwAevTj+uu99YoO79I4YF+mjOqh1qH+psdC4CLogACgJP7YcshPfhRsk4W29W+UYDevbO7QgMY5gXAhaMAAoATe//XfXpq8SY5DKl/64aafms31WWYFwCVxKsIADghh8PQc99t1VtLd0uShsdG6N/XRsubYV4AVAEKIAA4mcISux75dIO+XH9QkvTwFa31wKUtGeYFQJWhAAKAE8k5Uay/v79Wq/cclZeHTc9d30nXxzQxOxYAN0MBBAAnsf/YCd3x7hrtzMqXv6+X3hwRoz4tg82OBcANUQABwAlsOpCjO+es0eG8QoUF+GnOqO5qGxZgdiwAbooCCAAm+2RNup5YvEmFJQ61DfPXu3d2V6PAWmbHAuDGKIAAYJJTxXY9uXiTPlm7X5I0oE1DvXJzVwX4eZucDIC7owACgAn2ZhfovnnrlJqRKw+b9HBcG913cQt5eHCnL4DqRwEEgBr27aZMTfh0vfIKSxRUx0ev3tyVmz0A1CgKIADUkGK7Qy98t00zl5UO7hwbWV+v39JNYYFM6wagZlEAAaAGHMo9pQc+XKc1e49Jku7uG6XHBrVlZg8ApqAAAkA1W7UrW2M/SlZ2fpH8fb30wo2ddGV0I7NjAbAwCiAAVBOHw9CMpbv04vfb5DCktmH+mnFbjKKC65gdDYDFUQABoBocP1Gk+E/W66etWZKkG2Oa6F9Do+Xn7WlyMgCgAAJAlduw/7jun7dO+4+dlK+Xh/51TbSGdY8wOxYAlKEAAkAVMQxDH65O09NfbFGR3aGmDWprxm3d1CE80OxoAFAOBRAAqsCJohJNXrhJC5MPSJKuaB+q/7uxswJrMasHAOdDAQSAStp1OF/3fZCk7Yfy5elh06MD2+ie/s1lszGrBwDnRAEEgEr4asNBPfbZBhUU2dXQ31ev39xVPZsHmR0LAP4UBRAALkBRiUNTl6Rqzqq9kqSLmjfQqzd3VYg/s3oAcH4UQAA4TwePn9SYD9cpOe24JOn+S1oo/orW8mJWDwAuggIIAOdh2fbDeujjZB07UawAPy9NG9ZFl7cPNTsWAJwXCiAAnAO7w9BrP+3QKz/ukGFI0Y0DNOPWGEU0qG12NAA4bxRAAPgLRwuK9NDHyVq+I1uSdEvPpnryb+2Z1QOAy6IAAsCfWJd2TGPmrVNGzin5eXto6rUddV23JmbHAoBKoQACQAUMw9B7q/bqmSWpKrYbah5cR9Nv66a2YQFmRwOASqMAAsAfHC0o0hOLNunrjRmSpKs6NtKz13eUvx+zegBwDxRAAPgfSzZm6MnFm5SdXyQvD5seH9xOd/ZpxqweANwKBRAAJGXnF+rJxZu0ZGOmJKl1aF29cENndY6oZ24wAKgGbjVq6fTp0xUVFSU/Pz/FxMRo+fLlZ113wYIFuuKKK9SwYUMFBASoV69e+u6772owLQBnYBiGFqcc0BXTlmrJxkx5etj04KUt9eWDfSl/ANyW2xTA+fPna9y4cZo8ebKSk5PVr18/DRo0SGlpaRWuv2zZMl1xxRVasmSJkpKSNGDAAA0ZMkTJyck1nByAWbJyT+me95P00McpOnaiWO0aBWjxmD56OK6NfL0Y4gWA+7IZhmGYHaIq9OzZU926ddOMGTPKlrVr105Dhw5VQkLCOX2NDh06aPjw4XryySfPaf3c3FwFBgYqJydHAQHcGQi4CsMwtDD5gJ7+cotyThbL29OmBwa00n2XtJCPl9v8XQzgLHj/dpNrAIuKipSUlKSJEyeWWx4XF6dVq1ad09dwOBzKy8tTgwYNzrpOYWGhCgsLyz7Ozc29sMAATJOZc0qPL9yon7ZmSZI6Ng7UCzd2YngXAJbiFgUwOztbdrtdoaHl5+MMDQ1VZmbmOX2NF198UQUFBRo2bNhZ10lISNDTTz9dqawAzGEYhj5du1//+nqL8k6VyMfTQw9d3kr39m8uL0+O+gGwFrcogKf9cZgGwzDOaeiGjz76SP/85z+1ePFihYSEnHW9SZMmKT4+vuzj3NxcRUREXHhgADXiwPGTmrRgo5ZtPyxJ6hJRTy/c0EmtQv1NTgYA5nCLAhgcHCxPT88zjvZlZWWdcVTwj+bPn6+77rpLn376qS6//PI/XdfX11e+vr6VzgugZhiGoQ9XpylhyVblF5bIx8tDj8S11l19m8vTg3H9AFiXW5z38PHxUUxMjBITE8stT0xMVO/evc+63UcffaQ77rhDH374oa666qrqjgmgBqUfPaFbZ/2myQs3Kb+wRDGR9fXNQ/10T/8WlD8AlucWRwAlKT4+XiNGjFBsbKx69eqlmTNnKi0tTaNHj5ZUevr2wIEDmjt3rqTS8jdy5Ei98soruuiii8qOHtaqVUuBgYGm7QeAynE4DL3/6z499+1WnSiyy8/bQxMGttUdvZtR/ADgd25TAIcPH64jR45oypQpysjIUHR0tJYsWaLIyEhJUkZGRrkxAd966y2VlJRozJgxGjNmTNny22+/XXPmzKnp+ACqwN7sAj36+Qat3nNUktQjqoGev76TmgXXMTkZADgXtxkH0AyMIwQ4B7vD0JxVe/XCd1t1qtih2j6emjiorW7rGSkPjvoB+APev93oCCAAa9p1OF+PfrZBSfuOSZJ6twjSc9d3UkSD2iYnAwDnRQEE4JLsDkOzlu/Wi4nbVVTiUF1fLz0+uJ1u7hFxTsM/AYCVUQABuJwdh/L0yGcbtD79uCSpf+uGSriuoxrXq2VuMABwERRAAC6jxO7QW8t265UfdqjI7pC/n5eeuKq9boxtwlE/ADgPFEAALiE1I1cTPluvTQdK5+C+tG2Ipl7bUWGBfiYnAwDXQwEE4NSO5Bfq1R93aN5vaSpxGAqs5a1/Xt1eQ7s05qgfAFwgCiAAp3Sq2K45q/bqjZ92Kq+wRJI0sEOo/nVNtEICOOoHAJVBAQTgVBwOQ19uOKjnv92mA8dPSpI6hAdo8uB26t0y2OR0AOAeKIAAnMbqPUf1zNdbtH5/jiQpLMBPEwa20bVdGzOgMwBUIQogANPtPpyv577dqu82H5Ik1fHx1H2XtNBdfZurlo+nyekAwP1QAAGY5mhBkV79cYc++HWfShyGPGzSzT2aatzlrdXQ39fseADgtiiAAGrcqWK75v6yV6/9tFN5p0pv8Li0bYgmDWqrVqH+JqcDAPdHAQRQYwzD0JcbMvT8t1u1/1jpDR7tGgXoH1e1Ux9u8ACAGkMBBFAj1u49qn9/naqU36dvCwvw0yO/3+DhyQ0eAFCjKIAAqtXe7AI99+1WfbMpU5JU28dT913cQnf34wYPADALBRBAtTh+okiv/rhT7/+6V8X20hs8hndvqvFXtFKIPwM5A4CZKIAAqlRhiV3v/7JPr/64Q7m/3+BxSZuGmjSondqEcYMHADgDCiCAKmEYhpZszNRz325V2tETkqS2Yf6afFU79WvV0OR0AID/RQEEUGlJ+47pma+3aF3acUlSiL+vHhnYRtd3a8INHgDghCiAAC7YviMFev7bbfp6Y4ak0hs87u3fQn/vH6XaPry8AICz4hUawHnLyjulmUt3671f/nuDx7DYCMVf0VohAdzgAQDOjgII4JztzMrT28v2aGHyARXZHZKk/q0b6vHBbdU2LMDkdACAc0UBBPCnDMPQ6j1H9fby3fohNatseUxkfY29rJUubs0NHgDgaiiAACpkdxj6dlOmZi7frfW/z95hs0lx7UN1T//miolsYG5AAMAFowACKOdEUYk+Xbtf76zYUzaci6+Xh26IaaK7+kapecO6JicEAFQWBRCAJOlwXqHm/rJX7/+6T8dPFEuS6tf21ohezTSyV6SC6/qanBAAUFUogIDF7Tqcr1nL9+jzdftVVFJ6Y0dkUG3d3TdKN8REMF8vALghCiBgQYZhaO2+Y5q5bLd+SD0kwyhd3iWinu7t31xxHcIYwBkA3BgFELAQu8PQ95tLb+xI/n3WDkm6vF2o7r24uWIj68tmo/gBgLujAAIWcLLIrs+S0jVrxR7tO1J6Y4ePl4eu79ZYd/drrhbc2AEAlkIBBNzYkfxCzf1ln97/dZ+OFhRJkurV9taIiyI1slczNfTnxg4AsCIKIOCG9mQXaNby3fosab8Kf7+xI6JBLd3dt7lujG3CPL0AYHG8CwBuJGnfUc1ctlvfb/nvjR2dmwTqnv4tdGU0N3YAAEpRAAEXl19You82ZerD1WlK2nesbPllbUN0T//m6hHVgBs7AADlUAABF1Rsd2jZ9sNalHJQiVsydaq49DSvj6eHru3aWH/vH6WWIf4mpwQAOCsKIOAiDMPQurTjWpxyQF9tyCi7qUOSmjeso6FdGuum7hEKCfAzMSUAwBVQAAEnt/twvhalHNTilANlQ7hIUnBdX13dOVxDu4arY+NATvMCAM4ZBRBwQofzCvXl+tLSt35/Ttny2j6eurJDmK7p2lh9WgTJy9PDxJQAAFdFAQScREFhib7fkqlFyQe1Yme27I7S23g9PWzq3ypYQ7s21hXtQxnCBQBQabyTACYqsTu0fGe2FiUf0PebD+lksb3sc10i6unaro11VadGCq7LgM0AgKpDAQRqmGEYWr8/R4uSD+irDQeVnf/fmzmaBdXW0K6NdU2XxooKrmNiSgCAO6MAAjVkb3aBFqUc0OKUg9qTXVC2PKiOj4Z0DtfQro3VuQk3cwAAqh8FEKhGR/IL9dWGDC1MPqCU9ONly/28PTSwQ5iGdm2svi2D5c3NHACAGkQBBKpY+tETWrkzW99tztSyHf+9mcPDJvVt1VDXdg1XXPsw1fHl1w8AYA7egYBKOlpQpF92HdGKndlauTNbaUdPlPt8pyaBGtqlsf7WuZFC/BmkGQBgPgogcJ5OFtm1Zu9RrdyZrZW7srX5YK4M47+f9/SwqWtEPfVtFawhncPVomFd88ICAFABCiDwF0rsDm08kKNVu45oxY5sJe07piK7o9w6bUL91adlsPq2ClKPqCDV5fQuAMCJ8S4F/IFhGNp1uECrdmVrxY5s/bL7iPJOlZRbp1Ggn/q2DFbfVsHq1SKIU7sAAJdCAQQkZeWe0spd2Vqx44hW7sxWZu6pcp8P8PNSrxZB6tsyWH1aBisquA7DtQAAXBYFEJaUd6pYv+0+qhU7s7VqV7a2H8ov93kfLw/FRtYvPa3bMljRjQPl6UHhAwC4BwogLKGwxK6UtONauav0CF9K+vGy4VkkyWaTosMDywpfbLP68vP2NDExAADVhwIIt2IYhvYfO6ltmXnadihPqRm52paZp93ZBeUKn1Q67drpwterRZDq1fYxKTUAADWLAgiXlXOyWNsy87Q1M1dbM/O0LTNP2zPzlFdYUuH6wXV91LtFaeHr3TJITerXruHEAAA4BwognF5RiUO7s/O1NSPv96JXWvgyck5VuL63p00tGtZV2zB/tW0UoDZh/mob5q+wAD9u3AAAQBRAOBHDMHQw51RZwduWmaetGXnadThfJX84fXta43q1ygpe6b8Bat6wDnPrAgDwJyiAqHGGYejYiWLtPpyvrb+fwi09lZt3xnh7p/n7epUWvEb+ahMWoLZh/mod6q/AWt41nB4AANfnVgVw+vTpeuGFF5SRkaEOHTro5ZdfVr9+/c66/tKlSxUfH6/NmzcrPDxcjz76qEaPHl2Did1LUYlD2fmFysor1OG8QmXlnfr930Jl5RbqcH6hDuee0uH8QhXbKz6i5+VRevq2ze9H9Nr9XvjCAzl9CwBAVXGbAjh//nyNGzdO06dPV58+ffTWW29p0KBB2rJli5o2bXrG+nv27NHgwYP197//XR988IFWrlyp+++/Xw0bNtT1119vwh44J8MwlF9Y8j+lrlBZv5e4w7nly96xE8Xn9bXDAvx+P6Lnr3ZhpdfqtWhYVz5enL4FAKA62QzDqPhQjIvp2bOnunXrphkzZpQta9eunYYOHaqEhIQz1n/sscf0xRdfKDU1tWzZ6NGjtX79ev3yyy/n9D1zc3MVGBionJwcBQQEVH4nKskwDJU4DBWVOFRU4lCx3aHCEoeK7I6yZWX//b/LSkrXO3aiSFm5p8qVvcN5hTpZbD/nDF4eNjX091WIv68a+vuqob9f2X+X/Rvgp+C6PvL1Ypw9AEDNc7b3bzO4xRHAoqIiJSUlaeLEieWWx8XFadWqVRVu88svvyguLq7csoEDB+qdd95RcXGxvL3PvLassLBQhYWFZR/n5uZWQfozfbspQ99syvzz0mb/Q8n7fVl11fm6vl4K8fdV8O9FLsTf7w+lrnRZvVre8mDGDAAAnJpbFMDs7GzZ7XaFhoaWWx4aGqrMzMwKt8nMzKxw/ZKSEmVnZ6tRo0ZnbJOQkKCnn3666oKfxdbMPC1OOVjpr+NhK53SzMfTo/y/Xv/92Pv3Zb5eHqpf26es1IUElC94tX3c4qkCAADkJgXwtD/eJGAYxp/eOFDR+hUtP23SpEmKj48v+zg3N1cREREXGves+rVqqLq+XvL1+m9BO6PA/dV/e3rIi6FQAABABdyiAAYHB8vT0/OMo31ZWVlnHOU7LSwsrML1vby8FBQUVOE2vr6+8vX1rZrQfyImsr5iIutX+/cBAADW5BaHiHx8fBQTE6PExMRyyxMTE9W7d+8Kt+nVq9cZ63///feKjY2t8Po/AAAAd+EWBVCS4uPjNWvWLM2ePVupqakaP3680tLSysb1mzRpkkaOHFm2/ujRo7Vv3z7Fx8crNTVVs2fP1jvvvKNHHnnErF0AAACoEW5xCliShg8friNHjmjKlCnKyMhQdHS0lixZosjISElSRkaG0tLSytaPiorSkiVLNH78eL3xxhsKDw/Xq6++yhiAAADA7bnNOIBmYBwhAABcD+/fbnQKGAAAAOeGAggAAGAxFEAAAACLoQACAABYDAUQAADAYiiAAAAAFkMBBAAAsBgKIAAAgMVQAAEAACzGbaaCM8PpSVRyc3NNTgIAAM7V6fdtK0+GRgGshLy8PElSRESEyUkAAMD5ysvLU2BgoNkxTMFcwJXgcDh08OBB+fv7y2azVenXzs3NVUREhNLT091ynkL2z/W5+z6yf67P3feR/btwhmEoLy9P4eHh8vCw5tVwHAGsBA8PDzVp0qRav0dAQIBb/mKfxv65PnffR/bP9bn7PrJ/F8aqR/5Os2btBQAAsDAKIAAAgMVQAJ2Ur6+vnnrqKfn6+podpVqwf67P3feR/XN97r6P7B8qg5tAAAAALIYjgAAAABZDAQQAALAYCiAAAIDFUAABAAAshgLohKZPn66oqCj5+fkpJiZGy5cvNztSlUhISFD37t3l7++vkJAQDR06VNu2bTM7VrVKSEiQzWbTuHHjzI5SZQ4cOKDbbrtNQUFBql27trp06aKkpCSzY1WZkpIS/eMf/1BUVJRq1aql5s2ba8qUKXI4HGZHuyDLli3TkCFDFB4eLpvNpkWLFpX7vGEY+uc//6nw8HDVqlVLl1xyiTZv3mxO2AvwZ/tXXFysxx57TB07dlSdOnUUHh6ukSNH6uDBg+YFvgB/9TP8X/fee69sNptefvnlGstXWeeyf6mpqbr66qsVGBgof39/XXTRRUpLS6v5sG6EAuhk5s+fr3Hjxmny5MlKTk5Wv379NGjQILd4oi9dulRjxozRr7/+qsTERJWUlCguLk4FBQVmR6sWa9as0cyZM9WpUyezo1SZY8eOqU+fPvL29tY333yjLVu26MUXX1S9evXMjlZlnnvuOb355pt6/fXXlZqaqueff14vvPCCXnvtNbOjXZCCggJ17txZr7/+eoWff/755zVt2jS9/vrrWrNmjcLCwnTFFVeUzXXu7P5s/06cOKF169bpiSee0Lp167RgwQJt375dV199tQlJL9xf/QxPW7RokX777TeFh4fXULKq8Vf7t2vXLvXt21dt27bVf/7zH61fv15PPPGE/Pz8ajipmzHgVHr06GGMHj263LK2bdsaEydONClR9cnKyjIkGUuXLjU7SpXLy8szWrVqZSQmJhoXX3yx8dBDD5kdqUo89thjRt++fc2OUa2uuuoqY9SoUeWWXXfddcZtt91mUqKqI8lYuHBh2ccOh8MICwsznn322bJlp06dMgIDA40333zThISV88f9q8jq1asNSca+fftqJlQVO9s+7t+/32jcuLGxadMmIzIy0njppZdqPFtVqGj/hg8f7ha/f86GI4BOpKioSElJSYqLiyu3PC4uTqtWrTIpVfXJycmRJDVo0MDkJFVvzJgxuuqqq3T55ZebHaVKffHFF4qNjdWNN96okJAQde3aVW+//bbZsapU37599eOPP2r79u2SpPXr12vFihUaPHiwycmq3p49e5SZmVnuNcfX11cXX3yxW77mSKWvOzabza2OWjscDo0YMUITJkxQhw4dzI5TpRwOh77++mu1bt1aAwcOVEhIiHr27Pmnp8FxbiiATiQ7O1t2u12hoaHlloeGhiozM9OkVNXDMAzFx8erb9++io6ONjtOlfr444+1bt06JSQkmB2lyu3evVszZsxQq1at9N1332n06NEaO3as5s6da3a0KvPYY4/p5ptvVtu2beXt7a2uXbtq3Lhxuvnmm82OVuVOv65Y4TVHkk6dOqWJEyfqlltuUUBAgNlxqsxzzz0nLy8vjR071uwoVS4rK0v5+fl69tlndeWVV+r777/Xtddeq+uuu05Lly41O55L8zI7AM5ks9nKfWwYxhnLXN0DDzygDRs2aMWKFWZHqVLp6el66KGH9P3337vl9SkOh0OxsbGaOnWqJKlr167avHmzZsyYoZEjR5qcrmrMnz9fH3zwgT788EN16NBBKSkpGjdunMLDw3X77bebHa9aWOE1p7i4WDfddJMcDoemT59udpwqk5SUpFdeeUXr1q1zu5+ZpLKbr6655hqNHz9ektSlSxetWrVKb775pi6++GIz47k0jgA6keDgYHl6ep7xl3dWVtYZf6G7sgcffFBffPGFfv75ZzVp0sTsOFUqKSlJWVlZiomJkZeXl7y8vLR06VK9+uqr8vLykt1uNztipTRq1Ejt27cvt6xdu3ZucZPSaRMmTNDEiRN10003qWPHjhoxYoTGjx/vlkd0w8LCJMntX3OKi4s1bNgw7dmzR4mJiW519G/58uXKyspS06ZNy15z9u3bp4cffljNmjUzO16lBQcHy8vLy+1fd8xAAXQiPj4+iomJUWJiYrnliYmJ6t27t0mpqo5hGHrggQe0YMEC/fTTT4qKijI7UpW77LLLtHHjRqWkpJQ9YmNjdeuttyolJUWenp5mR6yUPn36nDF0z/bt2xUZGWlSoqp34sQJeXiUf2n09PR02WFg/kxUVJTCwsLKveYUFRVp6dKlbvGaI/23/O3YsUM//PCDgoKCzI5UpUaMGKENGzaUe80JDw/XhAkT9N1335kdr9J8fHzUvXt3t3/dMQOngJ1MfHy8RowYodjYWPXq1UszZ85UWlqaRo8ebXa0ShszZow+/PBDLV68WP7+/mVHHQIDA1WrVi2T01UNf3//M65prFOnjoKCgtziWsfx48erd+/emjp1qoYNG6bVq1dr5syZmjlzptnRqsyQIUP0zDPPqGnTpurQoYOSk5M1bdo0jRo1yuxoFyQ/P187d+4s+3jPnj1KSUlRgwYN1LRpU40bN05Tp05Vq1at1KpVK02dOlW1a9fWLbfcYmLqc/dn+xceHq4bbrhB69at01dffSW73V72utOgQQP5+PiYFfu8/NXP8I+l1tvbW2FhYWrTpk1NR70gf7V/EyZM0PDhw9W/f38NGDBA3377rb788kv95z//MS+0OzD3JmRU5I033jAiIyMNHx8fo1u3bm4zTIqkCh/vvvuu2dGqlTsNA2MYhvHll18a0dHRhq+vr9G2bVtj5syZZkeqUrm5ucZDDz1kNG3a1PDz8zOaN29uTJ482SgsLDQ72gX5+eefK/y9u/322w3DKB0K5qmnnjLCwsIMX19fo3///sbGjRvNDX0e/mz/9uzZc9bXnZ9//tns6Ofsr36Gf+Rqw8Ccy/698847RsuWLQ0/Pz+jc+fOxqJFi8wL7CZshmEY1V8zAQAA4Cy4BhAAAMBiKIAAAAAWQwEEAACwGAogAACAxVAAAQAALIYCCAAAYDEUQAAAAIuhAAIAAFgMBRAAAMBiKIAAAAAWQwEEAACwGAogAACAxVAAAQAALIYCCAAAYDEUQAAAAIuhAAIAAFgMBRAAAMBiKIAAAAAWQwEEAACwGAogAACAxVAAAQAALIYCCAAAYDEUQAAAAIuhAAIAAFgMBRAAAMBiKIAAAAAWQwEEAACwGAogAACAxVAAAQAALIYCCAAAYDEUQAAAAIv5f7oWMbnnaiPMAAAAAElFTkSuQmCC' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "gamma = 2.2\n",
+    "out = np.linspace(0, 1, 17) ** 2.2\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(out)\n",
+    "np.round(out * 24000).astype(int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "id": "b07a95c8-5350-41a4-abc5-9b1ced18364c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6f636ff3a35c4483af942cd4e8d23bb6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=1900.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = plt.subplots(4, 1, figsize=(19, 16))\n",
+    "fig.tight_layout()\n",
+    "ys_all = np.fromfile('/tmp/dump_adc.bin', dtype=np.uint8)\n",
+    "indices = np.argwhere(ys_all & 0x80)\n",
+    "deltas = indices[1:] - indices[:-1]\n",
+    "print(np.argwhere(deltas < 12))\n",
+    "for i, ax in enumerate(axs):\n",
+    "    ys = ys_all[i*1024:][:1024]\n",
+    "    for x, y in enumerate(ys):\n",
+    "        if y & 0x80:\n",
+    "            ax.axvline(x, color='red', alpha=0.5)\n",
+    "        if y & 0x40:\n",
+    "            ax.axvline(x, color='blue', alpha=0.1)\n",
+    "    ax.plot(ys & 0x3f, color='black', alpha=0.8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "677321ff-247c-44aa-9b67-1930e7d870ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e fb \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e fb \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e fb \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e fb \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 "
+     ]
+    }
+   ],
+   "source": [
+    "s = np.fromfile('/tmp/dump_sym.bin', dtype=np.int16)\n",
+    "for elem in s:\n",
+    "    if elem < 0:\n",
+    "        print()\n",
+    "        print('CONTROL:', elem)\n",
+    "    else:\n",
+    "        print(f'{elem:02x}', end=' ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "495cbeca-edd5-426a-b360-c5520239afa4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -10\n",
+      "33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 ff ff ff ff ff ff ff ff 00 b1 f7 3e 0e \n",
+      "CONTROL: -2\n",
+      "33 33 33 33 "
+     ]
+    }
+   ],
+   "source": [
+    "s = np.fromfile('/tmp/dump_txsym.bin', dtype=np.int16)\n",
+    "for elem in s:\n",
+    "    if elem < 0:\n",
+    "        print()\n",
+    "        print('CONTROL:', elem)\n",
+    "    else:\n",
+    "        print(f'{elem:02x}', end=' ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "443956dc-3aa2-4572-8735-f9aa9066c6ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10301"
+      ]
+     },
+     "execution_count": 111,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# https://docs.xilinx.com/r/en-US/am002-versal-gty-transceivers/8B/10B-Valid-Characters\n",
+    "codes = {}\n",
+    "for line in Path('/tmp/bar').read_text().splitlines():\n",
+    "    byte, rd_neg, rd_pos = line.strip().split()\n",
+    "    byte = int(byte, 2)\n",
+    "    codes[int(rd_neg, 2)] = ('D', byte, -1)\n",
+    "    codes[int(rd_pos, 2)] = ('D', byte, +1)\n",
+    "\n",
+    "for line in Path('/tmp/baz').read_text().splitlines():\n",
+    "    name, byte, rd_neg, rd_pos = line.strip().split()\n",
+    "    byte = int(byte, 2)\n",
+    "    codes[int(rd_neg, 2)] = (name, byte, -1)\n",
+    "    codes[int(rd_pos, 2)] = (name, byte, +1)\n",
+    "\n",
+    "import json\n",
+    "Path('8b10b_table.json').write_text(json.dumps(codes))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "id": "1b1925b8-8674-4c51-bab4-93d5db521c3f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "code_tables = {\n",
+    "    int(k): v for k, v in json.loads(Path('8b10b_table.json').read_text()).items() }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "4d995fb7-067a-4ab0-8bbf-2cc63f17b0c7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 -00 \n",
+      "K28.1 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K27.7 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K27.7 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K28.1 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K27.7 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K27.7 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K28.1 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K27.7 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K27.7 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K28.1 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K27.7 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K27.7 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K28.1 -\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K27.7 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K27.7 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +ff +ff +ff +ff +ff +ff +ff +ff +00 +b1 +f7 +3e -0e \n",
+      "K28.1 +\n",
+      "+33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 +33 -ff -ff -ff -ff -ff -ff -ff -ff -00 +b1 -f7 -3e +0e \n",
+      "K27.7 -\n",
+      "+33 +33 "
+     ]
+    }
+   ],
+   "source": [
+    "s = np.fromfile('/tmp/dump_txsym_10b.bin', dtype=np.uint16)\n",
+    "\n",
+    "for elem in s:\n",
+    "    #elem = int(''.join(reversed(f'{elem:010b}')), 2)\n",
+    "    name, byte, rd = code_tables.get(elem, (None, None, None))\n",
+    "    pm = '+' if rd and rd > 0 else '-'\n",
+    "    \n",
+    "    if name == None:\n",
+    "        print('XX', end=' ')\n",
+    "        \n",
+    "    elif name == 'D':\n",
+    "        print(f'{pm}{byte:02x}', end=' ')\n",
+    "        \n",
+    "    else:\n",
+    "        print()\n",
+    "        print(name, pm)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "id": "ccb5e2ab-76d3-4893-8ff4-547c25a05820",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;4m1111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;5m00000\n",
+      "\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;1m1"
+     ]
+    }
+   ],
+   "source": [
+    "bits = np.fromfile('/tmp/dump_bit.bin', dtype=np.uint8)\n",
+    "pos, = np.fromfile('/tmp/dump_bit_idx.bin', dtype=np.uint32)\n",
+    "bits = np.hstack([bits[pos:],  bits[:pos]])\n",
+    "print_rl(*bits, break_groups={'00000'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "id": "0a732c6b-39bf-4173-98bd-78e280f37d8d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;3m000 \u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;3m000 \u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m00 00\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m11 11\u001b[38;5;5m00000\u001b[38;5;2m11\u001b[38;5;1m0\n",
+      "\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 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\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 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\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 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1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m00 00\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m11 11\u001b[38;5;5m00000\u001b[38;5;2m11\u001b[38;5;1m0\n",
+      "\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 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\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 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\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;1m0"
+     ]
+    }
+   ],
+   "source": [
+    "bits = np.fromfile('/tmp/dump_txbit.bin', dtype=np.uint8)\n",
+    "print_rl(*bits, break_groups={'00000', '11111'}, split_each=10, split_offset=7)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "id": "84230a8e-5e17-4c3f-a5fa-7ea4c904f2cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;3m000 \u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m00 00\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m11 11\u001b[38;5;5m00000\u001b[38;5;2m11\u001b[38;5;1m0\n",
+      "\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 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11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m00 00\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11 \u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;5m111 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;2m0 0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;3m11 1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0 000\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0 \u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;4m11 11\u001b[38;5;5m00000\u001b[38;5;2m11\u001b[38;5;1m0\n",
+      "\u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;3m000 \u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;3m000 \u001b[38;5;2m11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;2m11\u001b[38;5;3m000\u001b[38;5;2m1 1\u001b[38;5;2m00\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00 \u001b[38;5;1m1\u001b[38;5;3m000\u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;1m0 \u001b[38;5;3m111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;4m0000\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;4m1111\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;1m1 \u001b[38;5;1m0\u001b[38;5;3m111\u001b[38;5;3m000\u001b[38;5;1m1\u001b[38;5;4m00 00\u001b[38;5;5m11111\u001b[38;5;2m00\u001b[38;5;3m1\n",
+      "11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00\u001b[38;5;3m1 11\u001b[38;5;2m00\u001b[38;5;1m1\u001b[38;5;1m0\u001b[38;5;1m1\u001b[38;5;2m00"
+     ]
+    }
+   ],
+   "source": [
+    "bits = np.fromfile('/tmp/dump_bit.bin', dtype=np.uint8)\n",
+    "pos, = np.fromfile('/tmp/dump_bit_idx.bin', dtype=np.uint32)\n",
+    "bits = np.hstack([bits[pos:],  bits[:pos]])\n",
+    "print_rl(*bits, break_groups={'00000', '11111'}, split_each=10, split_offset=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "7722bfee-c68b-40c3-9d25-d473b41d581f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "code_table_rev = {}\n",
+    "for encoded, (name, byte, rd) in code_tables.items():\n",
+    "    if name != 'D':\n",
+    "        byte = None\n",
+    "    code_table_rev[(name, byte, rd)] = encoded"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15b65829-8db3-475d-b91b-3a631af708e7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def encode(symbols):\n",
+    "    for sym in symbols:\n",
+    "        if isinstance(sym, int):\n",
+    "            yield "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bdce465-dd5e-4ed6-8b33-4c8309a40ba5",
+   "metadata": {},
+   "source": [
+    "1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1001110100 1000111010 1110100001 0111101001 0111000100 1101101000\n",
+    "1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1001110100 1000111010 1110100001 0111101001 0111000100 1101101000\n",
+    "1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1010110001 1001110100 1000111010 1110100001 0111101001 0111000100 0011111001\n",
+    "1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0110001011 1000111010 0001011110 1000011001 0111001011 0010010111\n",
+    "1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0110001011 1000111010 0001011110 1000011001 0111001011 0010010111\n",
+    "1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 1100101001 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0101001110 0110001011 1000111010 0001011110 1000011001 0111001011 1100000110"
+   ]
   }
  ],
  "metadata": {
diff --git a/center_fw/src/adc.c b/center_fw/src/adc.c
deleted file mode 100644
index 0cf70d1..0000000
--- a/center_fw/src/adc.c
+++ /dev/null
@@ -1,305 +0,0 @@
-/* Megumin LED display firmware
- * Copyright (C) 2018 Sebastian Götte <code@jaseg.net>
- * 
- * This program is free software: you can redistribute it and/or modify
- * it under the terms of the GNU General Public License as published by
- * the Free Software Foundation, either version 3 of the License, or
- * (at your option) any later version.
- * 
- * This program is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
- * GNU General Public License for more details.
- * 
- * You should have received a copy of the GNU General Public License
- * along with this program.  If not, see <http://www.gnu.org/licenses/>.
- */
-
-#include "adc.h"
-
-#include <stdbool.h>
-#include <stdlib.h>
-
-#define DETECTOR_CHANNEL a
-
-volatile uint16_t adc_buf[ADC_BUFSIZE];
-volatile struct adc_state adc_state = {0};
-#define st adc_state
-volatile struct adc_measurements adc_data;
-
-static void adc_dma_init(int burstlen, bool enable_interrupt);
-static void adc_timer_init(int psc, int ivl);
-
-
-/* Mode that can be used for debugging */
-void adc_configure_scope_mode(uint8_t channel_mask, int sampling_interval_ns) {
-	/* The constant SAMPLE_FAST (0) when passed in as sampling_interval_ns is handled specially in that we turn the ADC
-	to continuous mode to get the highest possible sampling rate. */
-
-	/* First, disable trigger timer, DMA and ADC in case we're reconfiguring on the fly. */
-    TIM1->CR1 &= ~TIM_CR1_CEN;
-    ADC1->CR &= ~ADC_CR_ADSTART;
-    DMA1_Channel1->CCR &= ~DMA_CCR_EN;
-
-	/* keep track of current mode in global variable */
-	st.adc_mode = ADC_SCOPE;
-
-	adc_dma_init(sizeof(adc_buf)/sizeof(adc_buf[0]), true);
-
-    /* Clock from PCLK/4 instead of the internal exclusive high-speed RC oscillator. */
-    ADC1->CFGR2 = (2<<ADC_CFGR2_CKMODE_Pos); /* Use PCLK/4=12MHz */
-    /* Sampling time 13.5 ADC clock cycles -> total conversion time 2.17us*/
-    ADC1->SMPR  = (2<<ADC_SMPR_SMP_Pos);
-
-	/* Setup DMA and triggering */
-	if (sampling_interval_ns == SAMPLE_FAST) /* Continuous trigger */
-		ADC1->CFGR1 = ADC_CFGR1_DMAEN | ADC_CFGR1_DMACFG | ADC_CFGR1_CONT;
-	else /* Trigger from timer 1 Channel 4 */
-		ADC1->CFGR1 = ADC_CFGR1_DMAEN | ADC_CFGR1_DMACFG | (2<<ADC_CFGR1_EXTEN_Pos) | (1<<ADC_CFGR1_EXTSEL_Pos);
-    ADC1->CHSELR = channel_mask;
-	/* Perform self-calibration */
-    ADC1->CR |= ADC_CR_ADCAL;
-    while (ADC1->CR & ADC_CR_ADCAL)
-        ;
-	/* Enable conversion */
-    ADC1->CR |= ADC_CR_ADEN;
-    ADC1->CR |= ADC_CR_ADSTART;
-
-	if (sampling_interval_ns == SAMPLE_FAST)
-		return; /* We don't need the timer to trigger in continuous mode. */
-
-	/* An ADC conversion takes 1.1667us, so to be sure we don't get data overruns we limit sampling to every 1.5us.
-	Since we don't have a spare PLL to generate the ADC sample clock and re-configuring the system clock just for this
-	would be overkill we round to 250ns increments. The minimum sampling rate is about 60Hz due to timer resolution. */
-	int cycles = sampling_interval_ns > 1500 ? sampling_interval_ns/250 : 6;
-	if (cycles > 0xffff)
-		cycles = 0xffff;
-	adc_timer_init(12/*250ns/tick*/, cycles);
-}
-
-/* FIXME figure out the proper place to configure this. */
-#define ADC_TIMER_INTERVAL_US 20
-
-/* Regular operation receiver mode. */
-void adc_configure_monitor_mode(const struct command_if_def *cmd_if) {
-	/* First, disable trigger timer, DMA and ADC in case we're reconfiguring on the fly. */
-    TIM1->CR1 &= ~TIM_CR1_CEN;
-    ADC1->CR &= ~ADC_CR_ADSTART;
-    DMA1_Channel1->CCR &= ~DMA_CCR_EN;
-
-	/* keep track of current mode in global variable */
-	st.adc_mode = ADC_MONITOR;
-
-	for (int i=0; i<NCH; i++)
-		st.adc_aggregate[i] = 0;
-	st.mean_aggregator[0] = st.mean_aggregator[1] = st.mean_aggregator[2] = 0; 
-	st.mean_aggregate_ctr = 0;
-
-    st.det_st.hysteresis_mv = 6000;
-    /* base_cycles * the ADC timer interval (20us) must match the driver's AC period. */ 
-    st.det_st.base_interval_cycles = 40; /* 40 * 20us = 800us/1.25kHz */
-
-	st.det_st.sync = 0;
-	st.det_st.last_bit = 0;
-	st.det_st.committed_len_ctr = st.det_st.len_ctr = 0;
-	xfr_8b10b_reset((struct state_8b10b_dec *)&st.det_st.rx8b10b);
-    reset_receiver((struct proto_rx_st *)&st.det_st.rx_st, cmd_if);
-
-	adc_dma_init(NCH, true);
-
-	/* Setup DMA and triggering: Trigger from Timer 1 Channel 4 */
-    ADC1->CFGR1 = ADC_CFGR1_DMAEN | ADC_CFGR1_DMACFG | (2<<ADC_CFGR1_EXTEN_Pos) | (1<<ADC_CFGR1_EXTSEL_Pos);
-    /* Clock from PCLK/4 instead of the internal exclusive high-speed RC oscillator. */
-    ADC1->CFGR2 = (2<<ADC_CFGR2_CKMODE_Pos); /* Use PCLK/4=12MHz */
-    /* Sampling time 13.5 ADC clock cycles -> total conversion time 2.17us*/
-    ADC1->SMPR  = (2<<ADC_SMPR_SMP_Pos);
-    /* Internal VCC and temperature sensor channels */
-    ADC1->CHSELR = ADC_CHSELR_CHSEL0 | ADC_CHSELR_CHSEL1 | ADC_CHSELR_CHSEL16 | ADC_CHSELR_CHSEL17;
-    /* Enable internal voltage reference and temperature sensor */
-    ADC->CCR = ADC_CCR_TSEN | ADC_CCR_VREFEN;
-    /* Perform ADC calibration */
-    ADC1->CR |= ADC_CR_ADCAL;
-    while (ADC1->CR & ADC_CR_ADCAL)
-        ;
-    /* Enable ADC */
-    ADC1->CR |= ADC_CR_ADEN;
-    ADC1->CR |= ADC_CR_ADSTART;
-
-    /* Initialize the timer. Set the divider to get a nice round microsecond tick. The interval must be long enough to
-     * comfortably fit all conversions inside. There should be some margin since the ADC runs off its own internal RC
-     * oscillator and will drift w.r.t. the system clock. 20us is a nice value when four channels are selected (A, B,
-     * T and V).
-     */
-    adc_timer_init(SystemCoreClock/1000000/*1.0us/tick*/, 20/* us */);
-}
-
-static void adc_dma_init(int burstlen, bool enable_interrupt) {
-    /* Configure DMA 1 Channel 1 to get rid of all the data */
-    DMA1_Channel1->CPAR = (unsigned int)&ADC1->DR;
-    DMA1_Channel1->CMAR = (unsigned int)&adc_buf;
-    DMA1_Channel1->CNDTR = burstlen;
-    DMA1_Channel1->CCR = (0<<DMA_CCR_PL_Pos);
-    DMA1_Channel1->CCR |=
-          DMA_CCR_CIRC /* circular mode so we can leave it running indefinitely */
-        | (1<<DMA_CCR_MSIZE_Pos) /* 16 bit */
-        | (1<<DMA_CCR_PSIZE_Pos) /* 16 bit */
-        | DMA_CCR_MINC
-        | (enable_interrupt ? DMA_CCR_TCIE : 0); /* Enable transfer complete interrupt. */
-
-	if (enable_interrupt) {
-		/* triggered on transfer completion. We use this to process the ADC data */
-		NVIC_EnableIRQ(DMA1_Channel1_IRQn);
-		NVIC_SetPriority(DMA1_Channel1_IRQn, 2<<5);
-	} else {
-		NVIC_DisableIRQ(DMA1_Channel1_IRQn);
-		DMA1->IFCR |= DMA_IFCR_CGIF1;
-	}
-
-    DMA1_Channel1->CCR |= DMA_CCR_EN; /* Enable channel */
-}
-
-static void adc_timer_init(int psc, int ivl) {
-    TIM1->BDTR  = TIM_BDTR_MOE; /* MOE is needed even though we only "output" a chip-internal signal TODO: Verify this. */
-    TIM1->CCMR2 = (6<<TIM_CCMR2_OC4M_Pos); /* PWM Mode 1 to get a clean trigger signal */
-    TIM1->CCER  = TIM_CCER_CC4E; /* Enable capture/compare unit 4 connected to ADC */
-    TIM1->CCR4  = 1; /* Trigger at start of timer cycle */
-	/* Set prescaler and interval */
-    TIM1->PSC   = psc-1;
-    TIM1->ARR   = ivl-1;
-    /* Preload all values */
-    TIM1->EGR  |= TIM_EGR_UG;
-    TIM1->CR1   = TIM_CR1_ARPE;
-    /* And... go! */
-    TIM1->CR1  |= TIM_CR1_CEN;
-}
-
-/* This acts as a no-op that provides a convenient point to set a breakpoint for the debug scope logic */
-static void gdb_dump(void) {
-}
-
-/* Called on reception of a bit. This feeds the bit to the 8b10b state machine. When the 8b10b state machine recognizes
- * a received symbol, this in turn calls receive_symbol. Since this is called at sampling time roughly halfway into a
- * bit being received, receive_symbol is called roughly half-way through the last bit of the symbol, just before the
- * symbol's end.
- */
-void receive_bit(struct bit_detector_st *st, int bit) {
-    int symbol = xfr_8b10b_feed_bit((struct state_8b10b_dec *)&st->rx8b10b, bit);
-    if (symbol == -K28_1)
-        st->sync = 1;
-
-    if (symbol == -DECODING_IN_PROGRESS)
-        return;
-
-    if (symbol == -DECODING_ERROR)
-        st->sync = 0;
-        /* Fall through so we also pass the error to receive_symbol */
-
-    receive_symbol(&st->rx_st, symbol);
-
-    /* Exceedingly handy piece of debug code: The Debug Scope 2000 (TM) */
-    /*
-    static int debug_buf_pos = 0;
-    if (st->sync) {
-        if (debug_buf_pos < NCH) {
-                debug_buf_pos = NCH;
-        } else {
-            adc_buf[debug_buf_pos++] = symbol;
-
-            if (debug_buf_pos >= sizeof(adc_buf)/sizeof(adc_buf[0])) {
-                debug_buf_pos = 0;
-                st->sync = 0;
-                gdb_dump();
-                for (int i=0; i<sizeof(adc_buf)/sizeof(adc_buf[0]); i++)
-                    adc_buf[i] = -255;
-            }
-        }
-    }
-    */
-}
-
-/* From a series of detected line levels, extract discrete bits. This self-synchronizes to signal transitions. This
- * expects base_interval_cycles to be set correctly. When a bit is detected, this calls receive_bit(st, bit). The call
- * to receive_bit happens at the sampling point about half-way through the bit being received.
- */
-void bit_detector(struct bit_detector_st *st, int a) {
-    int new_bit = st->last_bit;
-    int diff = a-5500; /* FIXME extract constants */
-    if (diff < - st->hysteresis_mv/2)
-        new_bit = 0;
-    else if (diff > st->hysteresis_mv/2)
-        new_bit = 1;
-    else
-        blank(); /* Safety, in case we get an unexpected transition */
-
-    st->len_ctr++;
-    if (new_bit != st->last_bit) { /* On transition */
-        st->last_bit = new_bit;
-        st->len_ctr = 0;
-        st->committed_len_ctr = st->base_interval_cycles>>1; /* Commit first half of bit */
-
-    } else if (st->len_ctr >= st->committed_len_ctr) {
-        /* The line stayed constant for a longer interval than the commited length. Interpret this as a transmitted bit.
-         *
-         *     +-- Master clock edges     -->| - - - - |<-- One bit period
-         *     |                             |         |
-         * 1   X         X         X         X         X         X         X         X
-         * ____/^^^^*^^^^\_______________________________________/^^^^*^^^^^^^^^*^^^^\__________________________________
-         * 0   v    ^                                                 v         ^
-         *     |    |                                                 |         |
-         *     |    +-------------------------------+                 +---------+
-         *     |                                    |                 |        
-         *     At this point, commit 1/2 bit (until here). This       When we arrive at the committed value, commit next
-         *     happens in the block above.                            full bit as we're now right in the middle of the
-         *                                                            first bit. This happens in the line below.
-         */
-
-        /* Commit second half of this and first half of possible next bit */
-        st->committed_len_ctr += st->base_interval_cycles;
-        receive_bit(st, st->last_bit);
-    }
-}
-
-void DMA1_Channel1_IRQHandler(void) {
-    /* ISR timing measurement for debugging */
-    //int start = SysTick->VAL;
-
-    /* Clear the interrupt flag */
-    DMA1->IFCR |= DMA_IFCR_CGIF1;
-    
-    if (st.adc_mode == ADC_SCOPE)
-        return;
-
-    /* FIXME This code section currently is a mess since I left it as soon as it worked. Re-work this and try to get
-     * back all the useful monitoring stuff, in particular temperature. */
-
-    /* This has been copied from the code examples to section 12.9 ADC>"Temperature sensor and internal reference
-     * voltage" in the reference manual with the extension that we actually measure the supply voltage instead of
-     * hardcoding it. This is not strictly necessary since we're running off a bored little LDO but it's free and
-     * the current supply voltage is a nice health value.
-     */
-    // FIXME DEBUG adc_data.vcc_mv = (3300 * VREFINT_CAL)/(st.adc_aggregate[VREF_CH]);
-
-    int64_t vcc = 3300;
-    /* FIXME debug
-    int64_t vcc = adc_data.vcc_mv;
-    int64_t read = st.adc_aggregate[TEMP_CH] * 10 * 10000;
-    int64_t cal = TS_CAL1 * 10 * 10000;
-    adc_data.temp_celsius_tenths = 300 + ((read/4096 * vcc) - (cal/4096 * 3300))/43000;
-    */
-
-    /* Calculate the line voltage from the measured ADC voltage and the used resistive divider ratio */
-    const long vmeas_r_total = VMEAS_R_HIGH + VMEAS_R_LOW;
-    //int a = adc_data.vmeas_a_mv = (st.adc_aggregate[VMEAS_A]*(vmeas_r_total * vcc / VMEAS_R_LOW)) >> 12;
-    int a = adc_data.vmeas_a_mv = (adc_buf[VMEAS_A]*13300) >> 12;
-    bit_detector((struct bit_detector_st *)&st.det_st, a);
-
-    /* ISR timing measurement for debugging */
-    /*
-    int end = SysTick->VAL;
-    int tdiff = start - end;
-    if (tdiff < 0)
-        tdiff += SysTick->LOAD;
-    st.dma_isr_duration = tdiff;
-    */
-}
-
diff --git a/center_fw/src/adc.h b/center_fw/src/adc.h
deleted file mode 100644
index 906cb7f..0000000
--- a/center_fw/src/adc.h
+++ /dev/null
@@ -1,96 +0,0 @@
-/* Megumin LED display firmware
- * Copyright (C) 2018 Sebastian Götte <code@jaseg.net>
- * 
- * This program is free software: you can redistribute it and/or modify
- * it under the terms of the GNU General Public License as published by
- * the Free Software Foundation, either version 3 of the License, or
- * (at your option) any later version.
- * 
- * This program is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
- * GNU General Public License for more details.
- * 
- * You should have received a copy of the GNU General Public License
- * along with this program.  If not, see <http://www.gnu.org/licenses/>.
- */
-
-#ifndef __ADC_H__
-#define __ADC_H__
-
-#include "global.h"
-#include "8b10b.h"
-#include "protocol.h"
-
-struct adc_measurements {
-    int16_t vcc_mv;
-    int16_t temp_celsius_tenths;
-    int16_t vmeas_a_mv;
-    int16_t vmeas_b_mv;
-    int16_t mean_a_mv;
-    int16_t mean_b_mv;
-    int16_t mean_diff_mv;
-};
-
-enum channel_mask {
-	MASK_VMEAS_A = ADC_CHSELR_CHSEL0,
-	MASK_VMEAS_B = ADC_CHSELR_CHSEL1
-};
-
-enum adc_mode {
-	ADC_UNINITIALIZED,
-	ADC_MONITOR,
-	ADC_SCOPE
-};
-
-enum sampling_mode {
-	SAMPLE_FAST = 0
-};
-
-/* The weird order is to match the channels' order in the DMA buffer. Due to some configuration mistake I can't be
-bothered to fix, the DMA controller outputs ADC measurements off-by-one into the output buffer. */
-enum adc_channels {
-    VREF_CH,
-    VMEAS_A,
-    VMEAS_B,
-    TEMP_CH,
-    NCH
-};
-
-struct bit_detector_st {
-    int hysteresis_mv;
-    int sync;
-    int base_interval_cycles;
-    struct proto_rx_st rx_st;
-    /* private stuff */
-    int last_bit;
-    int len_ctr;
-    int committed_len_ctr;
-    struct state_8b10b_dec rx8b10b;
-};
-
-struct adc_state {
-	enum adc_mode adc_mode;
-    int dma_isr_duration;
-    struct bit_detector_st det_st;
-	/* private stuff */
-	uint32_t adc_aggregate[NCH]; /* oversampling accumulator */
-	uint32_t mean_aggregate_ctr;
-	uint32_t mean_aggregator[3];
-};
-
-extern volatile struct adc_state adc_state;
-extern volatile uint16_t adc_buf[ADC_BUFSIZE];
-extern volatile struct adc_measurements adc_data;
-
-void adc_init(void);
-void adc_configure_scope_mode(uint8_t channel_mask, int sampling_interval_ns);
-void adc_configure_monitor_mode(const struct command_if_def *cmd_if);
-
-void bit_detector(struct bit_detector_st *st, int a);
-void receive_bit(struct bit_detector_st *st, int bit);
-
-void blank(void);
-void unblank(int new_bit);
-
-#endif/*__ADC_H__*/
diff --git a/center_fw/src/main.c b/center_fw/src/main.c
index 274abad..59bd7a1 100644
--- a/center_fw/src/main.c
+++ b/center_fw/src/main.c
@@ -17,11 +17,54 @@
 
 #include "global.h"
 #include "8b10b.h"
+#include "crc32.h"
+#include "protocol.h"
+#include "xorshift.h"
 
-static uint16_t adc_data[64*2];
 static volatile struct state_8b10b_dec st_8b10b_dec;
 
-static void quicksort(uint16_t *head, uint16_t *tail);
+/* Modulation constants */
+#define THRESHOLD_ADC_COUNTS 28500 /* ADC counts */
+#define MIN_RECTIFIER_MARGIN 5000 /* ADC counts */
+#define SAMPLES_PER_BAUD 16
+#define OVERSAMPLING_RATIO 16
+#define SAMPLING_PHASE (SAMPLES_PER_BAUD / 2)
+#define LED_DEAD_TIME 4 /* in ADC samples */
+#ifndef CONFIG_MODULE_ADDRESS
+#warn "CONFIG_MODULE_ADDRESS is not defined, defaulting to 0."
+#define CONFIG_MODULE_ADDRESS 0
+#endif /* CONFIG_MODULE_ADDRESS */
+
+#define DEBUG_DISABLE_DRIVERS 1
+
+
+volatile union {
+    struct data_packet packet;
+    uint8_t bytes[sizeof(struct data_packet)];
+} rx_buf;
+
+volatile ssize_t rx_pos;
+volatile bool packet_received;
+volatile bool rng_reset;
+uint32_t packet_rng_state = 0;
+
+struct data_packet foobar;
+int global_brightness;
+int channel_mask;
+
+struct error_counters {
+    int crc_errors;
+    int receive_overflows;
+    int processing_overflows;
+    int decoding_errors;
+} errors;
+
+/* generated by ./gamma.py */
+uint16_t brightness_lut[16] = {
+      54,   247,   604,  1137,  1857,  2774,  3894,  5223,
+    6768,  8534, 10525, 12745, 15199, 17891, 20823, 24000
+};
+
 
 int main(void) {
     /* Configure clocks for 64 MHz system clock.
@@ -49,40 +92,35 @@ int main(void) {
 
     RCC->AHBENR |= RCC_AHBENR_DMA1EN;
     RCC->APBENR1 |= RCC_APBENR1_TIM3EN | RCC_APBENR1_DBGEN;
-    RCC->APBENR2 |= RCC_APBENR2_TIM1EN | RCC_APBENR2_ADCEN;
+    RCC->APBENR2 |= RCC_APBENR2_TIM1EN | RCC_APBENR2_ADCEN | RCC_APBENR2_TIM14EN;
     RCC->IOPENR |= RCC_IOPENR_GPIOAEN | RCC_IOPENR_GPIOBEN | RCC_IOPENR_GPIOCEN;
 
-    /*
-    TIM1->PSC = 0;
-    TIM1->ARR = nominal_period;
-    TIM1->DIER = TIM_DIER_UIE | TIM_DIER_CC1IE;
-    TIM1->CR1 = TIM_CR1_ARPE | TIM_CR1_CEN;
-    TIM1->CCR1 = 3000;
-    NVIC_EnableIRQ(TIM1_BRK_UP_TRG_COM_IRQn);
-    NVIC_SetPriority(TIM1_BRK_UP_TRG_COM_IRQn, 0);
-    NVIC_EnableIRQ(TIM1_CC_IRQn);
-    NVIC_SetPriority(TIM1_CC_IRQn, 0);
-    */
+    TIM14->CR1 = TIM_CR1_ARPE | TIM_CR1_OPM;
+    /* External clock mode, with TIM 3 as source */
+    TIM14->PSC = 0;
+    static_assert(125 * (SAMPLES_PER_BAUD - LED_DEAD_TIME) * OVERSAMPLING_RATIO <= 0xffff);
+    TIM14->ARR = 125 * (SAMPLES_PER_BAUD - LED_DEAD_TIME) * OVERSAMPLING_RATIO;
+    TIM14->CCER = TIM_CCER_CC1E;
+    TIM14->DIER = TIM_DIER_CC1IE;
+    NVIC_EnableIRQ(TIM14_IRQn);
+    NVIC_SetPriority(TIM14_IRQn, 1<<6);
+
+    for (int i=0; i<COUNT_OF(brightness_lut); i++) {
+    }
 
     xfr_8b10b_reset((struct state_8b10b_dec *)&st_8b10b_dec);
+    rx_pos = -1;
+    packet_received = false;
+    rng_reset = false;
+    memset(&errors, 0, sizeof(errors));
 
     TIM3->CR1 = TIM_CR1_ARPE;
     TIM3->CR2 = (2<<TIM_CR2_MMS_Pos); /* Update event on TRGO */
     TIM3->PSC = 0;
     /* We sample 32 times per 1 kHz AC cycle, and use 32 times oversampling. */
-    TIM3->ARR = 125*16; /* Output 64 MHz / 125 = 512 kHz signal */
+    TIM3->ARR = 125; /* Output 64 MHz / 125 = 512.0 kHz signal */
     TIM3->CR1 |= TIM_CR1_CEN;
     
-    DMAMUX1[0].CCR = 5; /* ADC */
-    DMA1_Channel1->CPAR = (uint32_t)&ADC1->DR;
-    DMA1_Channel1->CMAR = (uint32_t)(void *)adc_data;
-    DMA1_Channel1->CNDTR = COUNT_OF(adc_data);
-    DMA1_Channel1->CCR = (1<<DMA_CCR_MSIZE_Pos) | (1<<DMA_CCR_PSIZE_Pos) | DMA_CCR_MINC | DMA_CCR_CIRC | DMA_CCR_HTIE | DMA_CCR_TCIE;
-    DMA1_Channel1->CCR |= DMA_CCR_EN;
-
-    NVIC_EnableIRQ(DMA1_Channel1_IRQn);
-    NVIC_SetPriority(DMA1_Channel1_IRQn, 64);
-
     ADC1->ISR = ADC_ISR_CCRDY | ADC_ISR_ADRDY; /* Clear CCRDY */
     ADC1->CR = ADC_CR_ADVREGEN;
     delay_us(20);
@@ -90,8 +128,8 @@ int main(void) {
     while (ADC1->CR & ADC_CR_ADCAL) {
         /* wait. */
     }
-    ADC1->CFGR1 = (1<<ADC_CFGR1_EXTEN_Pos) | (3<<ADC_CFGR1_EXTSEL_Pos) | ADC_CFGR1_DMAEN | ADC_CFGR1_DMACFG; /* TIM3 TRGO */
-    ADC1->CFGR2 = (1<<ADC_CFGR2_CKMODE_Pos) | (4<<ADC_CFGR2_OVSR_Pos) | (1<<ADC_CFGR2_OVSS_Pos) | ADC_CFGR2_OVSE;
+    ADC1->CFGR1 = (1<<ADC_CFGR1_EXTEN_Pos) | (3<<ADC_CFGR1_EXTSEL_Pos); /* TIM3 TRGO */
+    ADC1->CFGR2 = (1<<ADC_CFGR2_CKMODE_Pos) | (3<<ADC_CFGR2_OVSR_Pos) | (0<<ADC_CFGR2_OVSS_Pos) | ADC_CFGR2_TOVS | ADC_CFGR2_OVSE;
     ADC1->CHSELR = (1<<4); /* Enable input 4 -> PA4 (Vdiff)*/
     while (!(ADC1->ISR & ADC_ISR_CCRDY)) {
         /* wait. */
@@ -102,6 +140,9 @@ int main(void) {
     while (!(ADC1->ISR & ADC_ISR_ADRDY)) {
         /* wait. */
     }
+    ADC1->IER = ADC_IER_EOCIE;
+    NVIC_EnableIRQ(ADC1_IRQn);
+    NVIC_SetPriority(ADC1_IRQn, 0);
     ADC1->CR |= ADC_CR_ADSTART;
 
     GPIOA->MODER = OUT(0) | IN(1) | OUT(2) | OUT(3) | ANALOG(4) | OUT(5) | OUT(6) | IN(7) | ANALOG(9) | ANALOG(10) | OUT(11) | ANALOG(12)| AF(13) | AF(14);
@@ -111,73 +152,187 @@ int main(void) {
     DBG->APBFZ1 |= DBG_APB_FZ1_DBG_TIM3_STOP;
     DBG->APBFZ2 |= DBG_APB_FZ2_DBG_TIM1_STOP;
     while (42) {
+        if (packet_received) {
+            if (rng_reset) {
+                packet_rng_state = xorshift32(1);
+            }
+
+            for(size_t i=0; i<sizeof(rx_buf.packet); i++) {
+                packet_rng_state = xorshift32(packet_rng_state);
+                // rx_buf.bytes[i] ^= packet_rng_state; FIXME DEBUG
+            }
+
+            uint32_t crc_state = crc32_reset();
+            for(size_t i=0; i<offsetof(struct data_packet, crc); i++) {
+                crc_state = crc32_update(crc_state, rx_buf.bytes[i]);
+            }
+            crc_state = crc32_finalize(crc_state);
+
+            if (crc_state == rx_buf.packet.crc) {
+                /* good packet received */
+                int val = rx_buf.packet.brightness[CONFIG_MODULE_ADDRESS/2];
+                if (CONFIG_MODULE_ADDRESS & 1) {
+                    val >>= 4;
+                }
+                global_brightness = val;
+                channel_mask = rx_buf.packet.channels[CONFIG_MODULE_ADDRESS];
+
+            } else {
+                errors.crc_errors++;
+            }
+
+            packet_received = false;
+        }
     }
 }
 
-/*
-void TIM1_BRK_UP_TRG_COM_IRQHandler(void) {
-    TIM1->SR &= ~TIM_SR_UIF;
-}
+int16_t sym_dump[512];
+size_t sym_dump_pos = 0;
+
+uint8_t adc_dump[32];
+size_t adc_dump_pos = 0;
+
+uint8_t bit_dump[4096];
+size_t bit_dump_pos = 0;
 
-void TIM1_CC_IRQHandler(void) {
-    TIM1->SR &= ~TIM_SR_CC1IF;
+void gdb_dump(void) {
 }
-*/
-static size_t received_symbols = 0;
-static int symbol_buf[64];
-static size_t received_bits = 0;
-static int16_t bit_buf[256];
-size_t adc_reduced_pos = 0;
-static uint8_t adc_reduced[4096];
-
-void DMA1_Channel1_IRQHandler(void) {
-    static int sampling_phase = 0;
-    static int last_sample = 0;
-
-    uint16_t *buf = (DMA1->ISR & DMA_ISR_HTIF1) ? &adc_data[0] : &adc_data[COUNT_OF(adc_data)/2];
-    DMA1->IFCR = DMA_IFCR_CGIF1;
+
+void ADC1_IRQHandler(void) {
+    static int phase = 0;
+    static int last_bit = 0;
     GPIOB->BSRR = (1<<7);
 
-    const int threshold_adc_counts = 28500;
-    const int sample_per_baud = 16;
+    /* Read sample and apply threshold */
+    int sample = ADC1->DR; /* resets the EOC interrupt flag */
+    int bit = sample > THRESHOLD_ADC_COUNTS;
+    int bit_margin = ((int)sample) - THRESHOLD_ADC_COUNTS;
+    if (bit_margin < 0) {
+        bit_margin = -bit_margin;
+    }
+
+    adc_dump[adc_dump_pos] = (sample>>10) & 0x3f;
 
-    for (size_t i=0; i<COUNT_OF(adc_data)/2; i++) {
-        int sample = buf[i];
+    /* Find edges and compute current phase */
+    if (bit && !last_bit) { /* rising edge */
+        phase = 0;
+        adc_dump[adc_dump_pos] |= 0x40;
 
-        adc_reduced[adc_reduced_pos] = (sample & 0xffff)>>9;
+    } else if (last_bit && !bit) { /* falling edge */
+        phase = 0;
+        adc_dump[adc_dump_pos] |= 0x40;
 
-        if ((last_sample <= threshold_adc_counts && sample >= threshold_adc_counts) ||
-            (last_sample >= threshold_adc_counts && sample <= threshold_adc_counts)){
-            sampling_phase = sample_per_baud / 4; /* /2 for half baud sampling point, /2 for sinusoidal edge shape */
+    } else {
+        phase ++;
+        if (phase == SAMPLES_PER_BAUD) {
+            phase = 0;
+        }
+    }
 
-        } else if (sampling_phase == 0) {
-            int bit = sample > threshold_adc_counts;
-            adc_reduced[adc_reduced_pos] |= 0x80;
+    /* Trigger 8b10b sample */ 
+    if (phase == SAMPLING_PHASE) {
+        adc_dump[adc_dump_pos] |= 0x80;
 
-            bit_buf[received_bits] = bit;
-            received_bits = (received_bits+1) % COUNT_OF(bit_buf);
+        bit_dump[bit_dump_pos] = bit;
+        bit_dump_pos++;
+        if (bit_dump_pos == COUNT_OF(bit_dump)) {
+            bit_dump_pos = 0;
+            gdb_dump();
+        }
 
-            int rc =  xfr_8b10b_feed_bit((struct state_8b10b_dec *)&st_8b10b_dec, bit);
-            if (rc > -K_CODES_LAST) {
-                symbol_buf[received_symbols] = rc;
-                received_symbols = (received_symbols+1) % COUNT_OF(symbol_buf);
+        int rc = xfr_8b10b_feed_bit((struct state_8b10b_dec *)&st_8b10b_dec, bit);
+        if (rc > -K_CODES_LAST) {
+            sym_dump[sym_dump_pos++] = rc;
+            if (sym_dump_pos == COUNT_OF(sym_dump)) {
+                sym_dump_pos = 0;
             }
-            sampling_phase = sample_per_baud;
 
+            if (rc < 0) {
+                if (rc == -K28_1) {
+                    rng_reset = true;
+                    rx_pos = 0;
+
+                } else if (rc == -K27_7) {
+                    if (rx_pos >= 0) {
+                        rx_pos = 0;
+                    }
+                } else {
+                    rx_pos = -1;
+                }
+            } else {
+                if (packet_received) {
+                    /* receive buffer overflow */
+                    rx_pos = -1;
+                    errors.processing_overflows++;
+
+                } else {
+                    if (rx_pos == sizeof(rx_buf.packet)) {
+                        /* receive buffer overflow */
+                        rx_pos = -1;
+                        errors.receive_overflows++;
+                    }
+
+                    rx_buf.bytes[rx_pos] = rc;
+                    rx_pos++;
+                    if (rx_pos == sizeof(rx_buf.packet)) {
+                        packet_received = true;
+                    }
+                }
+            }
         } else {
-            sampling_phase--;
+            errors.decoding_errors++;
         }
+    }
+
+    adc_dump_pos++;
+    if (adc_dump_pos == COUNT_OF(adc_dump)) {
+        adc_dump_pos = 0;
+    }
 
-        adc_reduced_pos++;
-        if (adc_reduced_pos == COUNT_OF(adc_reduced)) {
-            adc_reduced_pos =0;
+    /* Trigger synchronous rectifier */
+    if (phase == SAMPLES_PER_BAUD - LED_DEAD_TIME || bit != last_bit || bit_margin < MIN_RECTIFIER_MARGIN) { /* reset */
+        GPIOA->BRR = (1<<11); /* RECT1 */
+        GPIOC->BRR = (1<<15); /* RECT2 */
+        GPIOA->BRR = (1<<6);
+
+    } else if (phase == LED_DEAD_TIME) { /* set */
+        if (bit) {
+            GPIOA->BSRR = (1<<6);
+#ifndef DEBUG_DISABLE_DRIVERS
+            GPIOC->BSRR = (1<<15); /* RECT2 */
+#endif
+        } else {
+#ifndef DEBUG_DISABLE_DRIVERS
+            GPIOA->BSRR = (1<<11); /* RECT1 */
+#endif
         }
-        last_sample = sample;
+
+        int nibble = (bit ? (channel_mask >> 4) : channel_mask) & 0x0f;
+        int b0 = (nibble>>0) & 1;
+        int b1 = (nibble>>1) & 1;
+        int b2 = (nibble>>2) & 1;
+        int b3 = (nibble>>3) & 1;
+
+#ifndef DEBUG_DISABLE_DRIVERS
+        GPIOA->BSRR = (b0<<2) | (b3<<3) | (b2<<5);
+        GPIOB->BSRR = (b1<<3);
+#endif
+        TIM14->CCR1 = brightness_lut[global_brightness];
+        TIM14->CR1 |= TIM_CR1_CEN;
     }
 
+    last_bit = bit;
     GPIOB->BRR = (1<<7);
 }
 
+void TIM14_IRQHandler(void) {
+    TIM14->SR = 0;
+
+    /* Reset all LED outputs */
+    GPIOA->BRR = (1<<2) | (1<<3) | (1<<5);
+    GPIOB->BRR = (1<<3);
+}
+
 void delay_us(int duration_us) {
     while (duration_us--) {
         for (int i=0; i<32; i++) {
@@ -186,6 +341,14 @@ void delay_us(int duration_us) {
     }
 }
 
+void *memset(void *s, int c, size_t n) {
+    uint8_t *b = (uint8_t *)s;
+    while (n--) {
+        *b++ = c;
+    }
+    return s;
+}
+
 void NMI_Handler(void) {
     asm volatile ("bkpt");
 }
@@ -208,37 +371,3 @@ void __libc_init_array (void) __attribute__((weak));
 void __libc_init_array () {
 }
 
-/* https://github.com/openmv/openmv/blob/2e8d5d505dbe695b8009d832e5ef7691009148e1/src/omv/common/array.c#L117 */
-static void quicksort(uint16_t *head, uint16_t *tail) {
-    while (head < tail) {
-        uint16_t *h = head - 1;
-        uint16_t *t = tail;
-        uint16_t v = tail[0];
-        for (;;) {
-            do {
-                ++h;
-            } while (h < t && h[0] < v);
-            do {
-                --t;
-            } while (h < t && v < t[0]);
-            if (h >= t) {
-                break;
-            }
-            uint16_t x = h[0];
-            h[0] = t[0];
-            t[0] = x;
-        }
-        uint16_t x = h[0];
-        h[0] = tail[0];
-        tail[0] = x;
-        // do the smaller recursive call first, to keep stack within O(log(N))
-        if (t - head < tail - h - 1) {
-            quicksort(head, t);
-            head = h + 1;
-        } else {
-            quicksort(h + 1, tail);
-            tail = t;
-        }
-    }
-}
-
diff --git a/center_fw/src/protocol.c b/center_fw/src/protocol.c
deleted file mode 100644
index dfa0d3e..0000000
--- a/center_fw/src/protocol.c
+++ /dev/null
@@ -1,149 +0,0 @@
-/* Control protocol receiver sitting between 8b10b.c and logical protocol handlers */
-
-#include <unistd.h>
-#include "protocol.h"
-#include "8b10b.h"
-
-volatile uint32_t decoding_error_cnt = 0, protocol_error_cnt = 0;
-volatile bool backchannel_frame = 0;
-
-/* Reset the given protocol state and register the command definition given with it. */
-void reset_receiver(struct proto_rx_st *st, const struct command_if_def *cmd_if) {
-    st->rxpos = -1;
-    st->address = 5; /* FIXME debug code */
-    st->cmd_if = cmd_if;
-}
-
-/* Receive an 8b10b symbol using the given protocol state. Handle any packets matching the enclosed command definition.
- *
- * This method is called from adc.c during the last bit period of the symbol, just before the actual end of the symbol
- * and start of the next symbol.
- */
-void receive_symbol(struct proto_rx_st *st, int symbol) {
-
-    if (symbol == -K28_2) { /* Backchannel marker */
-        /* This symbol is inserted into the symbol stream at regular intervals.  It is not passed to the higher protocol
-         * layers but synchronizes the backchannel logic through all nodes. The backchannel works by a node putting a
-         * specified additional load of about 100mA (FIXME) on the line (1) or not (0) with all other nodes being
-         * silent.  The master can detect this additional current.  The backchannel is synchronized to the 8b10b frame
-         * being sent from the master, and the data is also 8b10b encoded. This means the backchannel is independent
-         * from the forward-channel.
-         *
-         * This means while the forward-channel (the line voltage) might go like the upper trace, the back-channel (the
-         * line current drawn by the node) might simultaneously look like the lower trace:
-         *
-         * Zoomed in on two master frames:
-         *
-         *                          |<---       D31.1      --->|  |<---      D03.6       --->|
-         *     Master -> Node       1  0  1  0  1  1  1  0  0  1  1  1  0  0  0  1  0  1  1  0
-         *        Voltage (V)  .../^^\__/^^\__/^^^^^^^^\_____/^^^^^^^^\________/^^\__/^^^^^\___...
-         *
-         *        Current (I)  ...\_____________________________/^^^^^V^^^^^^^^V^^V^^V^^^^^V^^\...
-         *     Node -> Master                     0                            1
-         *
-         *
-         * Zoomed out on two node frames, or twenty master frames:
-         *
-         *     Master -> Node     |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |<- symbols, one after another
-         *        Voltage (V)  ...XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX...
-         *
-         *        Current (I)  ...___/^^^^^\__/^^\_____/^^\__/^^^^^\_____/^^\__/^^^^^\__/^^\___...
-         *     Node -> Master       0  1  1  0  1  0  0  1  0  1  1  0  0  1  0  1  1  0  1  0
-         *                          |<---       D22.2      --->|  |<---      D09.5       --->|
-         *
-         * Note that during backchannel transmissions only one node transmits at a time, and all nodes including the
-         * transmitter keep their LEDs blanked to allow the master to more easily demodulate the transmission.
-         *
-         * This means that:
-         *    * backchannel transmissions should be sparse (one per several regular symbols) to not affect brightness
-         *      too much
-         *    * backchannel transmissions should be spaced-out evenly and frequent enough to not cause visible flicker
-         *
-         * A consequence of this is that the backchannel has a bandwidth of only a fraction of the forward-channel. The
-         * master can dynamically adjust the frequency of the forward-channel and spacing of the backchannel markers.
-         * For 5kHz and 10% backchannel data (every tenth symbol being a backchannel symbol) the bandwidth works out to:
-         *
-         *      BW(forward-channel) = 5 [kHz] / 10 [8b10b] = 500 byte/s
-         *      BW(backchannel)     = 5 [kHz] / 10 [8b10b] / 10 [every 10th symbol] / 10 [8b10b again] = 5 byte/s
-         *
-         * Luckily, we only use the backchannel for monitoring anyway and at ~20byte per monitoring frame we can easily
-         * monitor a bus-load (heh!) of nodes once a minute, which is enough for our purposes.
-         */
-
-        /* Blank the LEDs for the next frame to keep the bus quiet during backchannel transmission. This happens on all
-         * nodes. */
-        backchannel_frame = true;
-        return; /* We're done handling this symbol */
-    } else {
-        /* On anything else than a backchannel marker, turn off backchannel blanking for the next frame */
-        backchannel_frame = false;
-    }
-
-    if (symbol == -K28_1) { /* Comma/frame delimiter */
-        st->rxpos = 0;
-        /* Fall through and return and just ignore incomplete packets */
-
-    } else if (symbol == -DECODING_ERROR) {
-        if (decoding_error_cnt < UINT32_MAX)
-            decoding_error_cnt++;
-        goto reset;
-
-    } else if (symbol < 0) { /* Unknown comma symbol */
-        if (protocol_error_cnt < UINT32_MAX)
-            protocol_error_cnt++;
-        goto reset;
-
-    } else if (st->rxpos == -1) { /* Receiver freshly reset and no comma seen yet */
-        return;
-
-    } else if (st->rxpos == 0) { /* First data symbol, and not an error or comma symbol */
-        st->packet_type = symbol & ~PKT_TYPE_BULK_FLAG;
-        if (st->packet_type >= st->cmd_if->packet_type_max)
-            goto reset; /* Not a protocol error */
-
-        /* If this a bulk packet, calculate and store the offset of our portion of it. Otherwise just prime the state
-         * for receiving the indidual packet by setting the offset to the first packet byte after the address. */
-        int payload_len = st->cmd_if->payload_len[st->packet_type];
-        st->is_bulk = symbol & PKT_TYPE_BULK_FLAG;
-        st->offset = (st->is_bulk) ? (st->address*payload_len + 1) : 2;
-        st->rxpos++;
-
-        if (payload_len == 0 && st->is_bulk) {
-            /* Length-0 packet type, handle now for bulk packets as we don't know when the master will send the next
-             * comma or other symbol. For individually addressed packets, wait for the address byte. */
-            handle_command(st->packet_type, NULL);
-            goto reset;
-        }
-
-    } else if (!st->is_bulk && st->rxpos == 1) { /* First byte (address byte) of individually adressed packet */
-        if (symbol != st->address) /* A different node is adressed */
-            goto reset;
-
-        if (st->cmd_if->payload_len[st->packet_type] == 0) {
-            /* Length-0 packet type, handle now as we don't know when the master will send the next comma or other
-             * symbol. */
-            handle_command(st->packet_type, NULL);
-            goto reset;
-        }
-        st->rxpos++;
-
-    } else { /* Receiving packet body */
-        if (st->rxpos - st->offset >= 0) {
-            /* Either we're receiving an individually adressed packet adressed to us, or we're in the middle of a bulk
-             * packet at our offset */
-            st->argbuf[st->rxpos - st->offset] = symbol;
-        }
-        st->rxpos++;
-
-        if (st->rxpos - st->offset == st->cmd_if->payload_len[st->packet_type]) {
-            /* We're at the end of either an individual packet or our portion of a bulk packet. Handle packet here. */
-            handle_command(st->packet_type, (uint8_t *)st->argbuf);
-            goto reset;
-        }
-    }
-
-    return;
-reset:
-    st->rxpos = -1;
-}
-
diff --git a/center_fw/src/protocol.h b/center_fw/src/protocol.h
deleted file mode 100644
index 89c93e2..0000000
--- a/center_fw/src/protocol.h
+++ /dev/null
@@ -1,33 +0,0 @@
-#ifndef __PROTOCOL_H__
-#define __PROTOCOL_H__
-
-#include <stdint.h>
-#include <stdbool.h>
-
-#define PKT_TYPE_BULK_FLAG 0x80
-
-struct proto_rx_st {
-    int packet_type;
-    int is_bulk;
-    int rxpos;
-    int address;
-    uint8_t argbuf[8];
-    int offset;
-    const struct command_if_def *cmd_if;
-};
-
-struct command_if_def {
-    int packet_type_max;
-    int payload_len[0];
-};
-
-extern volatile uint32_t decoding_error_cnt, protocol_error_cnt;
-extern volatile bool backchannel_frame;
-
-/* Callback */
-void handle_command(int command, uint8_t *args);
-
-void receive_symbol(struct proto_rx_st *st, int symbol);
-void reset_receiver(struct proto_rx_st *st, const struct command_if_def *cmd_if);
-
-#endif
diff --git a/center_fw/src/protocol_test.c b/center_fw/src/protocol_test.c
deleted file mode 100644
index 4a12ef5..0000000
--- a/center_fw/src/protocol_test.c
+++ /dev/null
@@ -1,163 +0,0 @@
-/* Unit test file testing protocol.c */
-
-#include <string.h>
-#include <assert.h>
-#include <stdio.h>
-#include <unistd.h>
-#include <sys/types.h>
-#include <sys/stat.h>
-#include <fcntl.h>
-
-#include "protocol.h"
-#include "8b10b.h"
-
-static int urandom_fd = -1;
-static long long n_tests = 0;
-
-struct test_cmd_if {
-    struct command_if_def cmd_if;
-    int payload_len[256];
-};
-
-struct {
-    int ncalls;
-    int last_cmd;
-    uint8_t last_args[sizeof(((struct proto_rx_st *)0)->argbuf)];
-} handler_state;
-
-
-void handle_command(int command, uint8_t *args) {
-    handler_state.ncalls++;
-    handler_state.last_cmd = command;
-    if (args)
-        memcpy(handler_state.last_args, args, 8);
-}
-
-void send_test_command_single(struct test_cmd_if *cmd_if, struct proto_rx_st *st, int cmd, int address, unsigned char pattern[256]) {
-    n_tests++;
-    receive_symbol(st, -K28_1);
-    receive_symbol(st, cmd);
-    receive_symbol(st, address);
-    for (int i=0; i<cmd_if->payload_len[cmd]; i++)
-        receive_symbol(st, pattern[i]);
-}
-
-void send_test_command_bulk(struct test_cmd_if *cmd_if, struct proto_rx_st *st, int cmd, int index, int len, unsigned char pattern[256]) {
-    n_tests++;
-    receive_symbol(st, -K28_1);
-    receive_symbol(st, cmd | PKT_TYPE_BULK_FLAG);
-    for (int j=0; j<len; j++) {
-        for (int i=0; i<cmd_if->payload_len[cmd]; i++) {
-            if (j == index)
-                receive_symbol(st, pattern[i]);
-            else
-                receive_symbol(st, 0xaa);
-        }
-    }
-}
-
-void test_commands_with_pattern(struct test_cmd_if *cmd_if, unsigned char pattern[256]) {
-    struct proto_rx_st st;
-
-    for (int cmd=0; cmd<cmd_if->cmd_if.packet_type_max; cmd++) {
-        /* Addresssed tests */
-        reset_receiver(&st, &cmd_if->cmd_if);
-        st.address = 23;
-        handler_state.ncalls = 0;
-        send_test_command_single(cmd_if, &st, cmd, 23, pattern);
-        assert(handler_state.ncalls == 1);
-        assert(handler_state.last_cmd == cmd);
-        assert(!memcmp(handler_state.last_args, pattern, cmd_if->payload_len[cmd]));
-
-        reset_receiver(&st, &cmd_if->cmd_if);
-        st.address = 23;
-        handler_state.ncalls = 0;
-        send_test_command_single(cmd_if, &st, cmd, 5, pattern);
-        assert(handler_state.ncalls == 0);
-
-        reset_receiver(&st, &cmd_if->cmd_if);
-        st.address = 5;
-        handler_state.ncalls = 0;
-        send_test_command_single(cmd_if, &st, cmd, 5, pattern);
-        assert(handler_state.ncalls == 1);
-        assert(handler_state.last_cmd == cmd);
-        assert(!memcmp(handler_state.last_args, pattern, cmd_if->payload_len[cmd]));
-
-        /* Bulk test */
-        reset_receiver(&st, &cmd_if->cmd_if);
-        st.address = 5;
-        handler_state.ncalls = 0;
-        send_test_command_bulk(cmd_if, &st, cmd, 5, 8, pattern);
-        assert(handler_state.ncalls == 1);
-        assert(handler_state.last_cmd == cmd);
-        assert(!memcmp(handler_state.last_args, pattern, cmd_if->payload_len[cmd]));
-    }
-}
-
-void test_commands(struct test_cmd_if *cmd_if) {
-    unsigned char data[256];
-
-    memset(data, 0, sizeof(data));
-    test_commands_with_pattern(cmd_if, data);
-
-    memset(data, 1, sizeof(data));
-    test_commands_with_pattern(cmd_if, data);
-
-    memset(data, 255, sizeof(data));
-    test_commands_with_pattern(cmd_if, data);
-
-    for (int i=0; i<5; i++) {
-        assert(read(urandom_fd, (char *)data, sizeof(data)) == sizeof(data));
-        test_commands_with_pattern(cmd_if, data);
-    }
-}
-
-int main(void) {
-    struct test_cmd_if cmd_if;
-
-    urandom_fd = open("/dev/urandom", O_RDONLY);
-    assert(urandom_fd > 0);
-
-    for (int ncmds=1; ncmds<128; ncmds++) {
-        cmd_if.cmd_if.packet_type_max = ncmds;
-
-        /* Case 1 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = 0;
-        test_commands(&cmd_if);
-
-        /* Case 2 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = 1;
-        test_commands(&cmd_if);
-
-        /* Case 3 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = i&1 ? 1 : 0;
-        test_commands(&cmd_if);
-
-        /* Case 4 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = i&1 ? 0 : 1;
-        test_commands(&cmd_if);
-
-        /* Case 5 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = i&1 ? 1 : 2;
-        test_commands(&cmd_if);
-
-        /* Case 6 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = i%8;
-        test_commands(&cmd_if);
-
-        /* Case 7 */
-        for (int i=0; i<ncmds; i++)
-            cmd_if.payload_len[i] = 4;
-        test_commands(&cmd_if);
-    }
-
-    assert(!close(urandom_fd));
-
-    printf("Successfully ran %lld tests\n", n_tests);
-}
diff --git a/center_fw/src/transmit.c b/center_fw/src/transmit.c
deleted file mode 100644
index c31c833..0000000
--- a/center_fw/src/transmit.c
+++ /dev/null
@@ -1,53 +0,0 @@
-
-#include "global.h"
-#include "transmit.h"
-#include "8b10b.h"
-
-struct {
-    uint8_t *buf;
-    size_t pos, len;
-    uint16_t current_symbol;
-    struct state_8b10b_enc enc;
-} tx_state = {0};
-
-volatile uint32_t tx_overflow_cnt = 0;
-
-void tx_init(uint8_t *tx_buf) {
-    tx_state.buf = tx_buf;
-    tx_state.pos = 0;
-    tx_state.current_symbol = 0;
-    xfr_8b10b_encode_reset(&tx_state.enc);
-}
-
-int tx_transmit(size_t len) {
-    if (!tx_state.buf)
-        return TX_ERR_UNINITIALIZED;
-
-    if (tx_state.len) {
-        tx_overflow_cnt++;
-        return TX_ERR_BUSY;
-    }
-
-    tx_state.len = len;
-    tx_state.current_symbol = 1;
-    return 0;
-}
-
-int tx_next_bit() { 
-    if (!tx_state.len)
-        return TX_IDLE;
-
-    int sym = tx_state.current_symbol;
-    if (sym == 1) /* We're transmitting the first bit of a new frame now. */
-        sym = xfr_8b10b_encode(&tx_state.enc, tx_state.buf[tx_state.pos++]) | (1<<10);
-
-    int bit = sym&1;
-    sym >>= 1;
-
-    if (sym == 1 && tx_state.pos == tx_state.len)
-        /* We're transmitting the last bit of a transmission now. Reset state. */
-        tx_state.pos = tx_state.len = sym = 0;
-
-    tx_state.current_symbol = sym;
-    return bit;
-}
diff --git a/center_fw/src/transmit.h b/center_fw/src/transmit.h
deleted file mode 100644
index dd9bcb9..0000000
--- a/center_fw/src/transmit.h
+++ /dev/null
@@ -1,18 +0,0 @@
-#ifndef __TRANSMIT_H__
-#define __TRANSMIT_H__
-
-#include "global.h"
-#include "8b10b.h"
-
-#define TX_IDLE (-1)
-
-#define TX_ERR_BUSY -1
-#define TX_ERR_UNINITIALIZED -2
-
-extern volatile uint32_t tx_overflow_cnt;
-
-void tx_init(uint8_t *tx_buf);
-int tx_transmit(size_t len);
-int tx_next_bit(void);
-
-#endif /* __TRANSMIT_H__ */
diff --git a/center_fw/volt_div.py b/center_fw/volt_div.py
new file mode 100644
index 0000000..85b511a
--- /dev/null
+++ b/center_fw/volt_div.py
@@ -0,0 +1,38 @@
+#!/usr/bin/env python3
+
+
+def calc_output(v_c1, v_c2):
+    vref = 3.3 / 2 # [V]
+    rref = 1/(1/10e3 + 1/10e3) # [Ohm]
+
+    vpos = vref + (v_c1 - vref) * rref / (rref + 220e3)
+
+    # vneg = vdiff + (v_c2 - vdiff) * 10e3 / (220e3 + 10e3)
+    # vneg =!= vpos
+    k1 = rref / (rref + 220e3)
+    k2 = 10e3 / (220e3 + 10e3)
+    # vdiff + (v_c2 - vdiff) * k2 = vref + (v_c1 - vref) * k1
+    # vdiff + v_c2*k2 - vdiff*k2 = vref + (v_c1 - vref) * k1
+    # vdiff * (1-k2) = vref + (v_c1 - vref)*k1 - v_c2*k2
+    vdiff = (vref + (v_c1 - vref)*k1 - v_c2*k2) / (1-k2)
+    adc_counts = vdiff / 3.3 * 0xffff
+    print(f'{vdiff:.3f} V ^= {round(adc_counts)} counts')
+    return adc_counts
+
+print('Results for 18 V')
+a = calc_output(18, 0)
+b = calc_output(0, 18)
+print(f'middle = {round((b+a)/2)} counts')
+
+print()
+print('Results for 24 V')
+a = calc_output(24, 0)
+b = calc_output(0, 24)
+print(f'middle = {round((b+a)/2)} counts')
+
+for v in range(11, 25):
+    print()
+    print(f'Results for {v} V with 0.7 V diode drop on GND')
+    a = calc_output(v-0.7, -0.7)
+    b = calc_output(-0.7, v-0.7)
+    print(f'middle = {round((b+a)/2)} counts')
diff --git a/common/8b10b.c b/common/8b10b.c
index fd89e6f..4908e1f 100644
--- a/common/8b10b.c
+++ b/common/8b10b.c
@@ -181,8 +181,10 @@ int xfr_8b10b_feed_bit(struct state_8b10b_dec *st, int bit) {
         int p3b = map_4b3b[pattern & 0xf];
         int p5b = map_6b5b[pattern >> 4];
 
-        if (p3b == 0 || p5b == 0)
+        if (p3b == 0 || p5b == 0) {
+            st->bit_ctr = 0;
             return -DECODING_ERROR;
+        }
 
         p3b = (p3b == -1) ? 0 : p3b;
         p5b = (p5b == -1) ? 0 : p5b;
@@ -191,6 +193,7 @@ int xfr_8b10b_feed_bit(struct state_8b10b_dec *st, int bit) {
     } else if (st->bit_ctr > 0) {
         st->bit_ctr++;
     } /* else we do not have sync yet */
+
     return -DECODING_IN_PROGRESS;
 }
 
diff --git a/common/8b10b_code_table.c b/common/8b10b_code_table.c
new file mode 100644
index 0000000..df2623a
--- /dev/null
+++ b/common/8b10b_code_table.c
@@ -0,0 +1,65 @@
+#include <stdio.h>
+#include <string.h>
+
+#include "8b10b.h"
+
+static const char * const rc_names[] = {
+    [K28_0] = "K.28.0",
+    [K28_1] = "K.28.1",
+    [K28_2] = "K.28.2",
+    [K28_3] = "K.28.3",
+    [K28_4] = "K.28.4",
+    [K28_5] = "K.28.5",
+    [K28_6] = "K.28.6",
+    [K28_7] = "K.28.7",
+    [K23_7] = "K.23.7",
+    [K27_7] = "K.27.7",
+    [K29_7] = "K.29.7",
+    [K30_7] = "K.30.7",
+};
+
+int hex_to_uint(const char *s, size_t len) {
+    if (len > 7)
+        return -2;
+
+    int acc = 0;
+    for (int i=0; i<len; i++) {
+        int digit = s[i];
+        if ('0' <= digit && digit <= '9')
+            digit -= '0';
+        else if ('a' <= digit && digit <= 'f')
+            digit -= 'a' - 0xa;
+        else if ('A' <= digit && digit <= 'F')
+            digit -= 'A' - 0xA;
+        else return -1;
+        acc = acc << 4 | digit;
+    }
+
+    return acc;
+}
+
+int main(void) {
+    struct state_8b10b_enc st;
+
+    printf("Comma symbols (RD -/+)\n");
+    for (int i=1; i<K_CODES_LAST; i++) {
+        st.rd = -1;
+        int sym_neg = xfr_8b10b_encode(&st, -i);
+        st.rd = +1;
+        int sym_pos = xfr_8b10b_encode(&st, -i);
+        printf("%s %010b %010b\n", rc_names[i], sym_neg, sym_pos);
+    }
+
+    printf("\n");
+    printf("Data symbols (RD -/+)\n");
+    for (int i=0; i<256; i++) {
+        st.rd = -1;
+        int sym_neg = xfr_8b10b_encode(&st, i);
+        st.rd = +1;
+        int sym_pos = xfr_8b10b_encode(&st, i);
+        printf("%02x %010b %010b\n", i, sym_neg, sym_pos);
+    }
+
+    return 0;
+}
+
diff --git a/common/crc32.c b/common/crc32.c
new file mode 100644
index 0000000..3f8d128
--- /dev/null
+++ b/common/crc32.c
@@ -0,0 +1,34 @@
+#include "crc32.h"
+
+/* Polynomial: 0xEDB88320 */
+
+/* python3:
+ * In [26]: apply = lambda st: ((st>>1) ^ 0xEDB88320) if (st & 1) else (st>>1)
+ * In [27]: print(',\n'.join([ '0x{:08x}'.format(apply(apply(apply(apply(x))))) for x in range(16) ]))
+ */
+static uint32_t crc32_table[16] = {
+	0x00000000,
+	0x1db71064,
+	0x3b6e20c8,
+	0x26d930ac,
+	0x76dc4190,
+	0x6b6b51f4,
+	0x4db26158,
+	0x5005713c,
+	0xedb88320,
+	0xf00f9344,
+	0xd6d6a3e8,
+	0xcb61b38c,
+	0x9b64c2b0,
+	0x86d3d2d4,
+	0xa00ae278,
+	0xbdbdf21c
+};
+
+uint32_t crc32_update(uint32_t state, uint8_t c)
+{
+	state ^= c;
+	state = (state>>4) ^ crc32_table[state&0xf];
+	state = (state>>4) ^ crc32_table[state&0xf];
+	return state;
+}
diff --git a/common/crc32.h b/common/crc32.h
new file mode 100644
index 0000000..badf467
--- /dev/null
+++ b/common/crc32.h
@@ -0,0 +1,18 @@
+#ifndef __CRC32_H__
+#define __CRC32_H__
+
+#include <unistd.h>
+
+uint32_t crc32_update(uint32_t old_state, uint8_t c);
+
+inline static uint32_t crc32_reset(void);
+uint32_t crc32_reset() {
+    return ~0;
+}
+
+inline static uint32_t crc32_finalize(uint32_t state);
+uint32_t crc32_finalize(uint32_t state) {
+    return ~state;
+}
+
+#endif /* __CRC32_H__ */
diff --git a/common/protocol.h b/common/protocol.h
new file mode 100644
index 0000000..30f3e0c
--- /dev/null
+++ b/common/protocol.h
@@ -0,0 +1,13 @@
+#ifndef __PROTOCOL_H__
+#define __PROTOCOL_H__
+
+#include <stdint.h>
+
+struct __attribute__((__packed__)) data_packet {
+    uint8_t channels[16];
+    uint8_t brightness[8];
+    uint8_t flags;
+    uint32_t crc;
+};
+
+#endif /* __PROTOCOL_H__ */
diff --git a/common/xorshift.c b/common/xorshift.c
new file mode 100644
index 0000000..51f9c80
--- /dev/null
+++ b/common/xorshift.c
@@ -0,0 +1,12 @@
+
+#include "xorshift.h"
+
+uint32_t xorshift32(uint32_t x)
+{
+	/* Algorithm "xor" from p. 4 of Marsaglia, "Xorshift RNGs" */
+	x ^= x << 13;
+	x ^= x >> 17;
+	x ^= x << 5;
+	return x;
+}
+
diff --git a/common/xorshift.h b/common/xorshift.h
new file mode 100644
index 0000000..8d9f448
--- /dev/null
+++ b/common/xorshift.h
@@ -0,0 +1,8 @@
+#ifndef __XORSHIFT_H__
+#define __XORSHIFT_H__
+
+#include <stdint.h>
+
+uint32_t xorshift32(uint32_t x);
+
+#endif /* __XORSHIFT_H__ */
diff --git a/driver_fw/Makefile b/driver_fw/Makefile
index b847134..fb4be18 100644
--- a/driver_fw/Makefile
+++ b/driver_fw/Makefile
@@ -30,7 +30,7 @@ DEVICE 			:= STM32G070RB
 
 ASM_SOURCES 		:= startup.s
 
-C_SOURCES		 	:= src/main.c $(BUILDDIR)/generated/waveform_tables.c common/8b10b.c
+C_SOURCES		 	:= src/main.c $(BUILDDIR)/generated/waveform_tables.c common/8b10b.c common/xorshift.c common/crc32.c
 
 CPP_SOURCES			:= # - none -
 
diff --git a/driver_fw/src/main.c b/driver_fw/src/main.c
index 0b3c869..136e0c7 100644
--- a/driver_fw/src/main.c
+++ b/driver_fw/src/main.c
@@ -2,6 +2,9 @@
 #include <global.h>
 #include <string.h>
 #include "8b10b.h"
+#include "crc32.h"
+#include "xorshift.h"
+#include "protocol.h"
 #include "generated/waveform_tables.h"
 
 volatile uint64_t sys_time_us;
@@ -12,23 +15,27 @@ static void set_status_leds(uint32_t leds);
 static void dma_tx_constant(size_t table_size, uint16_t constant);
 static void dma_tx_waveform(size_t table_size, const uint16_t *table);
 
-static int tx_datagram[33] = {
-    /* FIXME test data */
-/*
-    0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 
-    0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 
-    0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 
-    0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa, 0xaa};
-*/
-    -K28_1,
-    0x00, 0xff, 0xAA, 0x55, 0xfe, 0x18, 0xcc, 0x10,
-    0x00, 0xff, 0xAA, 0x55, 0xfe, 0x18, 0xcc, 0x10,
-    0x00, 0xff, 0xAA, 0x55, 0xfe, 0x18, 0xcc, 0x10,
-    0x00, 0xff, 0xAA, 0x55, 0xfe, 0x18, 0xcc, 0x10 };
+#define SYNC_INTERVAL 2
+
+static size_t time_to_sync = 0;
 static size_t tx_bitpos = 0;
 static size_t tx_sympos = 0;
 static int tx_last_bit = 0;
 static struct state_8b10b_enc encoder_state_8b10b;
+static uint32_t packet_rng_state;
+
+union tx_buf_union {
+    struct data_packet packet;
+    uint8_t bytes[sizeof(struct data_packet)];
+};
+
+static union tx_buf_union tx_buf[3];
+static union tx_buf_union *tx_buf_read = &tx_buf[0];
+static union tx_buf_union *tx_buf_idle = &tx_buf[1];
+static union tx_buf_union *tx_buf_write = &tx_buf[2];
+static bool idle_buf_ready = false;
+
+void update_tx_buf(void);
 
 
 int main(void) {
@@ -169,6 +176,16 @@ int main(void) {
     NVIC_SetPriority(DMA1_Channel1_IRQn, 0);
     dma_tx_constant(COUNT_OF(waveform_zero_one), 0x00);
     xfr_8b10b_encode_reset(&encoder_state_8b10b);
+
+    memset(tx_buf_write, 0, sizeof(*tx_buf_write));
+    for (size_t i=0; i<COUNT_OF(tx_buf_write->packet.channels); i++) {
+        tx_buf_write->packet.channels[i] = 0x33;
+    }
+    for (size_t i=0; i<COUNT_OF(tx_buf_write->packet.brightness); i++) {
+        tx_buf_write->packet.brightness[i] = 0xff;
+    }
+    update_tx_buf();
+
     int i = 0;
     int j = 0;
     while (23) {
@@ -204,10 +221,14 @@ void dma_tx_constant(size_t table_size, uint16_t constant) {
 
 int8_t bit_arr[4096];
 size_t bit_pos = 0;
+int16_t sym_arr[512];
+size_t sym_pos = 0;
+uint16_t cnd_arr[512];
+size_t cnd_pos = 0;
 
 void DMA1_Channel1_IRQHandler() {
     static int transfer_errors = 0;
-    static int current_symbol = 0x2aa;
+    static int current_symbol = 0;
 
     if (DMA1->ISR & DMA_ISR_TEIF1) {
         transfer_errors ++;
@@ -233,16 +254,65 @@ void DMA1_Channel1_IRQHandler() {
 
     if (tx_bitpos == 0) {
         tx_bitpos = 9;
-        current_symbol = xfr_8b10b_encode(&encoder_state_8b10b, tx_datagram[tx_sympos]);
-        tx_sympos ++;
-        if (tx_sympos >= COUNT_OF(tx_datagram)) {
+
+        sym_arr[sym_pos] = -255;
+
+        if (tx_sympos == sizeof(struct data_packet)) {
+            if (time_to_sync > 0) {
+                current_symbol = xfr_8b10b_encode(&encoder_state_8b10b, -K27_7);
+                sym_arr[sym_pos] = current_symbol;
+                time_to_sync--;
+
+            } else { 
+                current_symbol = xfr_8b10b_encode(&encoder_state_8b10b, -K28_1);
+                sym_arr[sym_pos] = current_symbol;
+                packet_rng_state = xorshift32(1);
+                time_to_sync = SYNC_INTERVAL;
+            }
+
+            if (idle_buf_ready) {
+                union tx_buf_union *tmp = tx_buf_idle;
+                tx_buf_idle = tx_buf_read;
+                tx_buf_read = tmp;
+                idle_buf_ready = false;
+            }
+
             tx_sympos = 0;
+
+        } else {
+            uint8_t b = tx_buf_read->bytes[tx_sympos];
+            packet_rng_state = xorshift32(packet_rng_state);
+            //b ^= packet_rng_state; FIXME DEBUG
+            current_symbol = xfr_8b10b_encode(&encoder_state_8b10b, b);
+            sym_arr[sym_pos] = current_symbol;
+            tx_sympos ++;
+        }
+
+        sym_pos++;
+        if (sym_pos == COUNT_OF(sym_arr)) {
+            sym_pos = 0;
         }
+
     } else {
         tx_bitpos --;
     }
 }
 
+void update_tx_buf() {
+    uint32_t crc = crc32_reset();
+    for (size_t i=0; i<offsetof(struct data_packet, crc); i++) {
+        crc = crc32_update(crc, tx_buf_write->bytes[i]);
+    }
+    tx_buf_write->packet.crc = crc32_finalize(crc);
+
+    __disable_irq();
+    union tx_buf_union *tmp = tx_buf_idle;
+    tx_buf_idle = tx_buf_write;
+    tx_buf_write = tmp;
+    idle_buf_ready = true;
+    __enable_irq();
+}
+
 uint32_t read_fuse_monitor() {
     uint32_t idr_a = GPIOA->IDR;
     uint32_t idr_c = GPIOC->IDR;