diff --git a/scripts/analyse-circle-scenario.ipynb b/scripts/analyse-circle-scenario.ipynb index 9369ab3..9b1658e 100644 --- a/scripts/analyse-circle-scenario.ipynb +++ b/scripts/analyse-circle-scenario.ipynb @@ -31,6 +31,32 @@ "metadata": {}, "output_type": "display_data" }, + { + "data": { + "text/html": [ + "
sys.version = '3.11.9 (main, Apr  2 2024, 08:25:04) [GCC 13.2.0]'\n",
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sys.executable = '/etc/profiles/per-user/jens/bin/python'\n",
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", + "image/png": 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", "text/plain": [ "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 80\u001b[0m\u001b[1;36m0x300\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m" ] @@ -351,7 +377,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -366,7 +392,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 50\u001b[0m\u001b[1;36m0x300\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m" ] @@ -435,14 +461,14 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_9041/3766537627.py:42: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + "/tmp/ipykernel_57682/3766537627.py:42: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", " fig.show()\n" ] }, @@ -458,7 +484,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 80\u001b[0m\u001b[1;36m0x300\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m1\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m" ] diff --git a/scripts/analyse-comms-failure.ipynb b/scripts/analyse-comms-failure.ipynb index 28a4f15..162adff 100644 --- a/scripts/analyse-comms-failure.ipynb +++ b/scripts/analyse-comms-failure.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -43,6 +43,7 @@ "import seaborn as sns\n", "\n", "from rich import print, pretty\n", + "import polars as pl\n", "from typing import Iterable\n", "import pretty_errors\n", "from catppuccin import PALETTE\n", @@ -56,8 +57,8 @@ "pretty.install()\n", "\n", "RESULTS_DIRS = [\n", - " Path('./experiments/varying-network-connectivity-lm-3-th-13-sd-2.5'),\n", - " Path('./experiments/varying-network-connectivity-gbpplanner'),\n", + " Path('./experiments/communications-failure-gbpplanner-final'),\n", + " Path('./experiments/communications-failure-lm-3-tk-5'),\n", "]\n", "\n", "for RESULTS_DIR in RESULTS_DIRS:\n", @@ -68,12 +69,20 @@ "\n", "flavor = PALETTE.latte.colors\n", "# num-robots-10-seed-0.json\n", - "RE = re.compile(r\"comms-radius-(\\d+)-seed-(\\d+).json\")\n" + "RES = [\n", + " re.compile(r\"target-speed-(\\d+)-probability-(\\d+.\\d+)-seed-(\\d+).json\"),\n", + " re.compile(r\"v0-(\\d+)-failure-(\\d+.\\d+)-lm-3-tk-5-seed-(\\d+).json\"),\n", + "]\n", + "\n", + "TAG = [\n", + " \"Theirs\",\n", + " \"Ours\",\n", + "]\n" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -123,7 +132,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 55, "metadata": {}, "outputs": [], "source": [ @@ -131,90 +140,47 @@ "def flatten(lst: Iterable) -> list:\n", " return list(itertools.chain.from_iterable(lst))\n", "\n", - "def process_file_(file):\n", - " # print(f\"Processing {file}\")\n", - " match = RE.match(file.name)\n", + "def process_file_(file, re, tag):\n", + " # print(f\"Processing {file} with {re}\")\n", + " match = re.match(file.name)\n", " assert match is not None\n", - " comms_radius = int(match.group(1))\n", - " seed = int(match.group(2))\n", + " target_speed = float(match.group(1))\n", + " failure_rate = float(match.group(2))\n", + " seed = int(match.group(3))\n", "\n", " with open(file, 'r') as file:\n", " data = json.load(file)\n", "\n", - " distance_travelled_of_each_robot: list[float] = []\n", - " ldj_of_each_robot: list[float] = []\n", " time_to_completion_of_each_robot: list[float] = []\n", "\n", + " collisions = len(data['collisions']['robots']) if tag == \"Ours\" else 0\n", + "\n", " for _, robot_data in data['robots'].items():\n", - " positions = np.array(robot_data['positions'])\n", - " \n", - " distance_travelled = np.sum(np.linalg.norm(np.diff(positions, axis=0), axis=1))\n", - " distance_travelled_of_each_robot.append(distance_travelled)\n", " mission = robot_data['mission']\n", " \n", " t_start: float = mission['started_at']\n", " t_final: float = mission['finished_at'] if mission['finished_at'] else mission['duration'] + t_start\n", " time_to_completion_of_each_robot.append(t_final - t_start)\n", "\n", - " # timestamps: np.ndarray = np.array([measurement['timestamp'] for measurement in robot_data['velocities']])\n", - " timestamps: np.ndarray = np.array([t_start + 0.1 * i for i in range(len(robot_data['velocities']))])\n", - " velocities3d_bevy: np.ndarray = np.array([measurement['velocity'] if isinstance(measurement, dict) else measurement for measurement in robot_data['velocities']])\n", - " # if velocities3d_bevy.shape[1] != 3: print(velocities3d_bevy.shape)\n", - " velocities = velocities3d_bevy[:, [0, 2]] if velocities3d_bevy.shape[1] == 3 else velocities3d_bevy\n", - "\n", - " # metric = ldj(velocities, timestamps)\n", - " metric = ldj(velocities, timestamps)\n", - " ldj_of_each_robot.append(metric)\n", - "\n", " # makespan: float = data['makespan']\n", " makespan: float = max(time_to_completion_of_each_robot)\n", " # print(f\"{makespan=}\")\n", - " return comms_radius, distance_travelled_of_each_robot, makespan, ldj_of_each_robot" + " return target_speed, failure_rate, makespan, collisions" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
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Processing RESULTS_DIR=PosixPath('experiments/varying-network-connectivity-lm-3-th-13-sd-2.5')\n",
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Processing RESULTS_DIR=PosixPath('experiments/communications-failure-gbpplanner-final')\n",
        "
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Processing RESULTS_DIR=PosixPath('experiments/varying-network-connectivity-gbpplanner')\n",
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Processing RESULTS_DIR=PosixPath('experiments/communications-failure-lm-3-tk-5')\n",
        "
\n" ], "text/plain": [ - "Processing \u001b[33mRESULTS_DIR\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'experiments/varying-network-connectivity-gbpplanner'\u001b[0m\u001b[1m)\u001b[0m\n" + "Processing \u001b[33mRESULTS_DIR\u001b[0m=\u001b[1;35mPosixPath\u001b[0m\u001b[1m(\u001b[0m\u001b[32m'experiments/communications-failure-lm-3-tk-5'\u001b[0m\u001b[1m)\u001b[0m\n" ] }, "metadata": {}, @@ -235,1583 +201,201 @@ } ], "source": [ + "df = pl.DataFrame(schema={\n", + " \"tag\": pl.String,\n", + " \"target_speed\": pl.Float64,\n", + " \"failure_rate\": pl.Float64,\n", + " \"makespan\": pl.Float64,\n", + " \"collisions\": pl.Int64,\n", + "})\n", "\n", - "data = []\n", - "for RESULTS_DIR in RESULTS_DIRS:\n", + "for RESULTS_DIR, RE, T in zip(RESULTS_DIRS, RES, TAG):\n", " # with ProcessPoolExecutor() as executor:\n", " # results = executor.map(process_file_, RESULTS_DIR.glob('*.json'))\n", "\n", " print(f\"Processing {RESULTS_DIR=}\")\n", "\n", - " results = [process_file_(file) for file in RESULTS_DIR.glob('*.json')]\n", + " results = [process_file_(file, RE, T) for file in RESULTS_DIR.glob('*.json')]\n", "\n", " # Aggregate results in a single-threaded manner to avoid data\n", - " aggregated_data_distance_travelled: dict[int, list[float]] = collections.defaultdict(list)\n", + " # aggregated_data_distance_travelled: dict[int, list[float]] = collections.defaultdict(list)\n", " aggregated_data_makespan: dict[int, list[float]] = collections.defaultdict(list)\n", - " aggregated_data_ldj: dict[int, list[float]] = collections.defaultdict(list)\n", + " # aggregated_data_ldj: dict[int, list[float]] = collections.defaultdict(list)\n", "\n", - " for comms_radius, distance_travelled_for_each_robot, makespan, ldj_for_each_robot in results:\n", + " for speed, failure_rate, makespan, collisions in results:\n", " # print(f\"{comms_radius=} {makespan=}\")\n", - " aggregated_data_distance_travelled[comms_radius].extend(distance_travelled_for_each_robot)\n", - " aggregated_data_makespan[comms_radius].append(makespan)\n", - " aggregated_data_ldj[comms_radius].extend(ldj_for_each_robot)\n", - "\n", - " data_distance = [aggregated_data_distance_travelled[key] for key in sorted(aggregated_data_distance_travelled.keys())]\n", - " labels_distance = sorted(aggregated_data_distance_travelled.keys())\n", - "\n", - " data_distance_dict = dict(zip(labels_distance, data_distance))\n", - "\n", - " data.append(\n", - " {\n", - " 'distance': data_distance_dict,\n", - " # 'labels_distance': labels_distance,\n", - " 'makespan': aggregated_data_makespan,\n", - " 'ldj': aggregated_data_ldj\n", - " }\n", - " )\n" + " # aggregated_data_distance_travelled[comms_radius].extend(distance_travelled_for_each_robot)\n", + " # aggregated_data_makespan[failure_rate].append(makespan)\n", + " # aggregated_data_ldj[comms_radius].extend(ldj_for_each_robot)\n", + "\n", + " df2 = pl.DataFrame({\n", + " \"tag\": [T],\n", + " \"target_speed\": [speed],\n", + " \"failure_rate\": [failure_rate],\n", + " \"makespan\": [makespan],\n", + " \"collisions\": [collisions],\n", + " })\n", + "\n", + " df = df.extend(df2)\n", + "\n", + " # data_distance = [aggregated_data_distance_travelled[key] for key in sorted(aggregated_data_distance_travelled.keys())]\n", + " # labels_distance = sorted(aggregated_data_distance_travelled.keys())\n", + "\n", + " # data_distance_dict = dict(zip(labels_distance, data_distance))\n", + "\n", + " # data.append(\n", + " # {\n", + " # # 'distance': data_distance_dict,\n", + " # # 'labels_distance': labels_distance,\n", + " # 'makespan': aggregated_data_makespan,\n", + " # # 'ldj': aggregated_data_ldj\n", + " # }\n", + " # )\n" ] }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
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" \u001b[1m}\u001b[0m,\n", - " \u001b[32m'makespan'\u001b[0m: \u001b[1;35mdefaultdict\u001b[0m\u001b[1m(\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95mclass\u001b[0m\u001b[39m \u001b[0m\u001b[32m'list'\u001b[0m\u001b[39m>, \u001b[0m\u001b[1;39m{\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m80\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\u001b[1;36m88.8\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m53.6\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m66.5\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m67.6\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m41.5\u001b[0m\u001b[1;39m]\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m20\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\u001b[1;36m45.7\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m37.9\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m43.4\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m41.6\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m55.8\u001b[0m\u001b[1;39m]\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m60\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\u001b[1;36m67.1\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m55.5\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m77.8\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m66.6\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m54.1\u001b[0m\u001b[1;39m]\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m40\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\u001b[1;36m90.6\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m51.7\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m57.3\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m70.0\u001b[0m\u001b[39m, \u001b[0m\u001b[1;36m47.8\u001b[0m\u001b[1;39m]\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;39m}\u001b[0m\u001b[1;39m)\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[32m'ldj'\u001b[0m\u001b[39m: \u001b[0m\u001b[1;35mdefaultdict\u001b[0m\u001b[1;39m(\u001b[0m\u001b[39m, \u001b[0m\u001b[1;39m{\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m80\u001b[0m\u001b[39m: \u001b[0m\u001b[1;39m[\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m-18.954323967790813\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m-14.494426191180239\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m-18.48444577916506\u001b[0m\u001b[39m,\u001b[0m\n", - "\u001b[39m \u001b[0m\u001b[1;36m-16.280337287235724\u001b[0m\u001b[39m,\u001b[0m\n", - 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" \u001b[1;36m-23.743594276065323\u001b[0m,\n", - " \u001b[1;36m-23.743705531310507\u001b[0m,\n", - " \u001b[1;36m-23.74326108172295\u001b[0m,\n", - " \u001b[1;36m-23.742443844798927\u001b[0m,\n", - " \u001b[1;36m-23.74294582831723\u001b[0m,\n", - " \u001b[1;36m-23.7428043533748\u001b[0m,\n", - " \u001b[1;36m-23.74381817618458\u001b[0m,\n", - " \u001b[1;36m-23.743954355367226\u001b[0m,\n", - " \u001b[1;36m-23.745448931626168\u001b[0m,\n", - " \u001b[1;36m-23.74231125768897\u001b[0m,\n", - " \u001b[1;36m-23.741012689949837\u001b[0m,\n", - " \u001b[1;36m-23.74513124503545\u001b[0m,\n", - " \u001b[1;36m-23.74199097286498\u001b[0m,\n", - " \u001b[1;36m-23.74337878873774\u001b[0m,\n", - " \u001b[1;36m-23.74206947087484\u001b[0m,\n", - " \u001b[1;36m-23.748740191430073\u001b[0m,\n", - " \u001b[1;36m-23.742860273339257\u001b[0m,\n", - " \u001b[1;36m-23.742941210355355\u001b[0m,\n", - " \u001b[1;36m-23.702234833529978\u001b[0m,\n", - " \u001b[1;36m-23.746555405504356\u001b[0m,\n", - " \u001b[1;36m-23.743192557159002\u001b[0m,\n", - " \u001b[1;36m-23.745245679950344\u001b[0m,\n", - " \u001b[1;36m-23.748628186126076\u001b[0m,\n", - " \u001b[1;36m-23.744360749798886\u001b[0m,\n", - " \u001b[1;36m-23.74202490446503\u001b[0m,\n", - " \u001b[1;36m-23.74593975678112\u001b[0m,\n", - " \u001b[1;36m-23.745757490178335\u001b[0m,\n", - " \u001b[1;36m-23.744308845606415\u001b[0m\n", - " \u001b[1m]\u001b[0m\n", - " \u001b[1m}\u001b[0m\u001b[1m)\u001b[0m\n", - " \u001b[1m}\u001b[0m\n", - "\u001b[1m]\u001b[0m" + "shape: \u001b[1m(\u001b[0m\u001b[1;36m10\u001b[0m, \u001b[1;36m5\u001b[0m\u001b[1m)\u001b[0m\n", + "┌────────┬──────────────┬──────────────┬────────────┬────────────┐\n", + "│ tag ┆ target_speed ┆ failure_rate ┆ makespan ┆ collisions │\n", + "│ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", + "│ str ┆ f64 ┆ f64 ┆ f64 ┆ i64 │\n", + "╞════════╪══════════════╪══════════════╪════════════╪════════════╡\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.0\u001b[0m ┆ \u001b[1;36m238.600006\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.1\u001b[0m ┆ \u001b[1;36m203.199997\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.2\u001b[0m ┆ \u001b[1;36m329.800018\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.3\u001b[0m ┆ \u001b[1;36m231.100006\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.4\u001b[0m ┆ \u001b[1;36m220.800003\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.5\u001b[0m ┆ \u001b[1;36m221.5\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.6\u001b[0m ┆ \u001b[1;36m328.700012\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.7\u001b[0m ┆ \u001b[1;36m505.600006\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.8\u001b[0m ┆ \u001b[1;36m799.600037\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "│ Theirs ┆ \u001b[1;36m15.0\u001b[0m ┆ \u001b[1;36m0.9\u001b[0m ┆ \u001b[1;36m864.600037\u001b[0m ┆ \u001b[1;36m0\u001b[0m │\n", + "└────────┴──────────────┴──────────────┴────────────┴────────────┘\n" ] }, - "execution_count": 47, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "data" + "df_theirs = df.filter(df['tag'] == \"Theirs\")\n", + "print(df_theirs.filter(df_theirs['target_speed'] == 10).sort(\"failure_rate\"))\n", + "print(df_theirs.filter(df_theirs['target_speed'] == 15).sort(\"failure_rate\"))" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
varying-network-connectivity-lm-3-th-13-sd-2.5\n",
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shape: (8, 2)\n",
+       "┌──────────────┬──────────┐\n",
+       "│ failure_rate ┆ makespan │\n",
+       "│ ---          ┆ ---      │\n",
+       "│ f64          ┆ f64      │\n",
+       "╞══════════════╪══════════╡\n",
+       "│ 0.021.125   │\n",
+       "│ 0.124.24    │\n",
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+       "│ 0.760.82    │\n",
+       "└──────────────┴──────────┘\n",
        "
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makespan_means={20: 44.879999999999995, 40: 63.480000000000004, 60: 64.22, 80: 63.6}\n",
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shape: (8, 2)\n",
+       "┌──────────────┬────────────┐\n",
+       "│ failure_rate ┆ collisions │\n",
+       "│ ---          ┆ ---        │\n",
+       "│ f64          ┆ f64        │\n",
+       "╞══════════════╪════════════╡\n",
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+       "└──────────────┴────────────┘\n",
        "
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distance_means={20: 236.89510927868324, 40: 285.9908325030257, 60: 295.2933289314799, 80: 283.24733969761115}\n",
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shape: (8, 2)\n",
+       "┌──────────────┬──────────┐\n",
+       "│ failure_rate ┆ makespan │\n",
+       "│ ---          ┆ ---      │\n",
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+       "│ 0.768.2     │\n",
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ldj_means={20: -14.479386124124119, 40: -15.966531007631177, 60: -16.334361227393277, 80: -16.105878378955726}\n",
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shape: (8, 2)\n",
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stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - +" style="stroke: #179299; stroke-opacity: 0.075; stroke-linejoin: miter"/> - - + + @@ -1690,27 +1690,27 @@ L 128.94618 100.136573 L 120.75362 100.136573 L 120.75362 108.297879 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> @@ -1720,32 +1720,32 @@ L 180.14968 100.300434 L 171.95712 100.300434 L 171.95712 108.147518 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - + + + @@ -1755,31 +1755,31 @@ L 231.35318 99.464639 L 223.16062 99.464639 L 223.16062 107.255109 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - + + @@ -1789,32 +1789,32 @@ L 282.55668 99.230488 L 274.36412 99.230488 L 274.36412 107.424782 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - + + + @@ -1824,33 +1824,33 @@ L 333.76018 98.936792 L 325.56762 98.936792 L 325.56762 106.400137 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - + + + + @@ -1860,36 +1860,36 @@ L 384.96368 94.464324 L 376.77112 94.464324 L 376.77112 105.678718 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - - - - + + + + + + + @@ -1899,38 +1899,38 @@ L 436.16718 96.18138 L 427.97462 96.18138 L 427.97462 105.238244 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - - - - - - + + + + + + + + + @@ -1940,40 +1940,40 @@ L 487.37068 94.808727 L 479.17812 94.808727 L 479.17812 104.943609 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - - - - - - - - + + + + + + + + + + + @@ -1983,42 +1983,42 @@ L 538.57418 93.866142 L 530.38162 93.866142 L 530.38162 103.785143 z -" clip-path="url(#pfabb0f7f75)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - - - - - - - - - - + + + + + + + + + + + + + @@ -2028,39 +2028,39 @@ L 87.98338 103.641399 L 79.79082 103.641399 L 79.79082 110.123896 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - +" style="stroke: #40a02b; stroke-opacity: 0.075; stroke-linejoin: miter"/> - - + + @@ -2070,31 +2070,31 @@ L 139.18688 99.941917 L 130.99432 99.941917 L 130.99432 108.657442 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - + + @@ -2104,32 +2104,32 @@ L 190.39038 100.794537 L 182.19782 100.794537 L 182.19782 108.768267 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - - + + + @@ -2139,33 +2139,33 @@ L 241.59388 98.964339 L 233.40132 98.964339 L 233.40132 107.445104 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - + + + + @@ -2175,33 +2175,33 @@ L 292.79738 97.684956 L 284.60482 97.684956 L 284.60482 106.431487 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - + + + + @@ -2211,33 +2211,33 @@ L 344.00088 93.859681 L 335.80832 93.859681 L 335.80832 105.00116 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - + + + + @@ -2247,33 +2247,33 @@ L 395.20438 88.753737 L 387.01182 88.753737 L 387.01182 102.492214 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - + + + + @@ -2283,32 +2283,32 @@ L 446.40788 82.213117 L 438.21532 82.213117 L 438.21532 98.105533 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> - - - + + + @@ -2318,32 +2318,32 @@ L 497.61138 77.960281 L 489.41882 77.960281 L 489.41882 95.134193 z -" clip-path="url(#pfabb0f7f75)" style="fill: #fe640b; opacity: 0.225; stroke: #fe640b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: #40a02b; opacity: 0.225; stroke: #40a02b; stroke-linejoin: miter"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; stroke: #40a02b; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#p459cffb20e)" style="fill: none; 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opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: none; stroke: #179299; stroke-opacity: 0.3; stroke-linecap: round"/> - - - - + + + + @@ -1854,33 +1854,33 @@ L 283.97256 84.55671 L 275.82104 84.55671 L 275.82104 92.117485 z -" clip-path="url(#p4a3abe2b8a)" style="fill: #df8e1d; opacity: 0.225; stroke: #df8e1d; stroke-linejoin: miter"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: #179299; opacity: 0.225; stroke: #179299; stroke-linejoin: miter"/> +" clip-path="url(#pb53cd7e6cd)" style="fill: none; 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stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -83,7 +83,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -149,7 +149,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -163,7 +163,7 @@ L 128.0175 14.4 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -201,7 +201,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -215,7 +215,7 @@ L 186.9995 14.4 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -257,7 +257,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -271,7 +271,7 @@ L 245.9815 14.4 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -302,7 +302,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -316,7 +316,7 @@ L 304.9635 14.4 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -854,7 +854,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -867,7 +867,7 @@ L 349.2 172.528 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -881,7 +881,7 @@ L 349.2 152.762 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -895,7 +895,7 @@ L 349.2 132.996 +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; stroke-width: 1.5; stroke-linecap: round"/> @@ -923,7 +923,7 @@ z +" clip-path="url(#pa7e617e82e)" style="fill: none; stroke: #ffffff; 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