From 874c33f5b579cb0267831968e135a58d67b7b64d Mon Sep 17 00:00:00 2001 From: jasonhan3 <98669315+jasonhan3@users.noreply.github.com> Date: Sun, 2 Feb 2025 10:05:32 -0500 Subject: [PATCH 1/7] final commit --- .gitignore | 1 + betti_numbers_alldata.npy | Bin 0 -> 176672 bytes betti_numbers_classical.npy | Bin 0 -> 176672 bytes betti_vqd.npy | Bin 0 -> 2176 bytes moodys_challenge.ipynb | 2759 ++++++++++++++++++++++++++++++++++- requirements.txt | 57 + 6 files changed, 2798 insertions(+), 19 deletions(-) create mode 100644 .gitignore create mode 100644 betti_numbers_alldata.npy create mode 100644 betti_numbers_classical.npy create mode 100644 betti_vqd.npy create mode 100644 requirements.txt diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..268f9a7 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +moodys-venv \ No newline at end of file diff --git a/betti_numbers_alldata.npy b/betti_numbers_alldata.npy new file mode 100644 index 0000000000000000000000000000000000000000..4a92d058f3a6bf5aec0bdac136d33880929e7756 GIT binary patch literal 176672 zcmeI&u}WKE0EXeCW3S?Dr-dwqic*}rwYYTXR6>ndC@M+mQoIUp*hq2HHz0(B`eYH$ zQ4-(($)|&NU%q}m`*tw=8U9Y^i`9?i^l_X{f1XUUak{u({$9?nzF#lT7Z2Az&3~;H z>+7q_`ORYe`P-wT_s6sG!@JpdJHG7k=3wZD`}$M?KB~?z=%Y^+;G^nz|M0;_72u=l z*bhGVr~-Uc9s9utA60;ls$)O+;G+ugQFZJGAAD2+KB|uW;De7Uz(>`wAAImp1^B2s z_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ z{osR-D!@n8u^)W!Q3d#@I`)GPKB@p8RmXnt!ABL~qw3fXKKQ5td{iC#!3Q5zfRCzU zKltFI3h+^N><1rwQ~^G!j{V?+k1D`N)v+IZ@KFW$s5<1rwQ~^G!j{V?+k1D`N z)v+IZ@KFW$s5`wAAImp1^B2s_Ja>TssJBV z$A0j^M-_POJ`O9+`rd2r{D{(fxw|D0{#cmBIQ|4scj zo&ToqcYnXn*ZDY~D!@n8+5Ycm{q?T`d{iCpPd@ml0(?{*`@shvRe+DGV?X%dqYCg* zb?gTpd{hBGs*e5OgO4h}N7b<(eDF~P_^3MegAYEc03TJye(=FZ72u=l*bhGVr~-Uc z9s9utA60;ls$)O+;G+ugQFZJGAAD2+KB|uW;De7Uz(>`wAAImp1^B2s_Ja>TssJBV z$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ{osR-D!@n8 zu^)W!Q3d#@I`)GPKB@p8RmXnt!ABL~qw3fXKKQ5td{iC#!3Q5zfRCzUKltFI3h+^N z><1rwQ~^G!j{V?+k1D`N)v+IZ@KFW$s5`w zAAImp1^B2s_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_ z2OoS?0Y0jZ{osR-D!@n8u^)W!Q3d#@I`)GPKB@p8RmXnt!ABL~qw3fXKKQ5td{iC# z!3Q5zfRCzUKltFI3h+^N><1rwQ~^G!j{V?+k1D`N)v+IZ@KFW$s5`wAAImp1^B2s_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l z$A0@b?3Xv}`uz6&_3gTk=WoFJ=u-vws5<_B;e(GVz(>`wAAImp1^B2s_Ja>TssJBV z$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ{osR-D!@n8 fu^)W!Q3d#@I`)GPKB@p8RmXnt!ABMN-+kNz8%;4v literal 0 HcmV?d00001 diff --git a/betti_numbers_classical.npy b/betti_numbers_classical.npy new file mode 100644 index 0000000000000000000000000000000000000000..2a34f4f4a017a5e6f4ffa3f208e15f88576a60c3 GIT binary patch literal 176672 zcmeIyu}Z^W07lX1=u>2iLKi_%#Mw=8ad48N6$P=PWQ{z>uUadvs~RRe(s;mpVo`-`|F4K%i{a@ z?&0D7(QG`}n~fji->#jlp)b$%sRDddong>NpDMsd)$#rC!ABL~qw3fXKKQ5td{iC# z!3Q5zfRCzUKltFI3h+^N><1rwQ~^G!j{V?+k1D`N)v+IZ@KFW$s5`wAAImp1^B2s_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l z2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ{osR-D!@n8u^)W!Q3d#@I`)GPKB@p8RmXnt z!ABL~qw3fXKKQ5td{iC#!3Q5zfRCzUKltFI3h+^N><1rwQ~^G!j{V?+k1D`N)v+IZ z@KFW$s5`wAAImp1^B2s_Ja>TssJBV$A0j^ zM-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ{osR-D!@n8u^)W! zQ3d#@I-9>A+x_>4|9;L-AAmmkQ~^G!&gSp0^K*VxfRC!<`{sj>D!@n8u^)W!Q3d#@ zI`)GPKB@p8RmXnt!ABL~qw3fXKKQ5td{iC#!3Q5zfRCzUKltFI3h+^N><1rwQ~^G! zj{V?+k1D`N)v+IZ@KFW$s5`wAAImp1^B2s z_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ z{osR-D!@n8u^)W!Q3d#@I`)GPKB@p8RmXnt!ABL~qw3fXKKQ5td{iC#!3Q5zfRCzU zKltFI3h+^N><1rwQ~^G!j{V?+k1D`N)v+IZ@KFW$s5`wAAImp1^B2s_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo z_~4@o@KJT_2OoS?0Y0jZ{osR-D!@n8u^)W!Q3d#@I`)GPKB@p8RmXnt!ABL~qw3fX zKKQ5td{iC#!3Q5zfRCzUKltFI3h+^N><1rwQ~^G!j{V?+k1D`N)v+IZ@KFW$s5`wAAImp1^B2s z_Ja>TssJBV$A0j^M-||s>evrH_^1MWR2}=l2Om{{kE&xo_~4@o@KJT_2OoS?0Y0jZ q{osR-D!@n8u^)W!Q3d#@I`)GPKB@p8RmXnt!ABL~qv~w_etZE%t1(6Z literal 0 HcmV?d00001 diff --git a/betti_vqd.npy b/betti_vqd.npy new file mode 100644 index 0000000000000000000000000000000000000000..fb15e0b426d5b952dabec166f512d7638676f4c7 GIT binary patch literal 2176 zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlWC!@qoAIaUsO_*m=~X4l#&V(cT3DEP6dh= zXCxM+0{I$dCOQfxnmP)#3giMVMh5&~RDLvk@P)u=`oI@D3=Bg(e3oIr__Ez`U%-TDvv*d(K>tp?MNHf literal 0 HcmV?d00001 diff --git a/moodys_challenge.ipynb b/moodys_challenge.ipynb index 7ee0e87..592a079 100644 --- a/moodys_challenge.ipynb +++ b/moodys_challenge.ipynb @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 274, "id": "4ec880cd", "metadata": {}, "outputs": [], @@ -169,7 +169,22 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())" + "# time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", + "time_series = np.log(pd.read_csv(\"sp500_full.csv\", header=None, usecols=[1]).to_numpy().squeeze())" + ] + }, + { + "cell_type": "code", + "execution_count": 275, + "id": "b8ec0241", + "metadata": {}, + "outputs": [], + "source": [ + "N = 4 # dimension of vectors\n", + "d = 5 # time delay\n", + "w = 5 # window size\n", + "epsilon = [0.1, 0.2, 0.3, 0.4] # resolution threshold\n", + "q = 3 # number of precision qubits" ] }, { @@ -209,12 +224,275 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 276, "id": "7b701be6", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[7.28632869 7.26318945 7.24288733 ... 8.47448922 8.47413432 8.47083507]\n" + ] + }, + { + "data": { + "text/plain": [ + "(5536,)" + ] + }, + "execution_count": 276, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# what is K????\n", + "\n", + "# write your code here\n", + "\n", + "print(time_series)\n", + "time_series.shape" + ] + }, + { + "cell_type": "markdown", + "id": "2a37e042", + "metadata": {}, + "source": [ + "Apply Taken's Theorem" + ] + }, + { + "cell_type": "code", + "execution_count": 277, + "id": "895cc6c0", + "metadata": {}, "outputs": [], "source": [ - "# write your code here" + "def apply_taken_theorem(input_data, n=N, d=d):\n", + " res_datapoints = []\n", + " L = np.shape(input_data)[0]\n", + " for res_datapoint_starting_idx in range(int((L - 1) - (n - 1) * d) + 1):\n", + " tekin_datapoint = []\n", + " for tekin_offset_idx in range(0, (n - 1) * d + 1, d):\n", + " tekin_idx = res_datapoint_starting_idx + tekin_offset_idx\n", + " if (tekin_idx >= 0) and (tekin_idx <= L - 1):\n", + " # print(f\"tekin_idx: {tekin_idx}\")\n", + " tekin_datapoint.append(input_data[tekin_idx])\n", + " res_datapoints.append(tekin_datapoint)\n", + " return np.array(res_datapoints)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 278, + "id": "f99f2514", + "metadata": {}, + "outputs": [], + "source": [ + "tekin_applied_datapoints = apply_taken_theorem(time_series)" + ] + }, + { + "cell_type": "code", + "execution_count": 279, + "id": "6869770f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5521, 4)" + ] + }, + "execution_count": 279, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tekin_applied_datapoints.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 280, + "id": "8f4d39b3", + "metadata": {}, + "outputs": [], + "source": [ + "def create_time_series_sliding(input_data, w=w):\n", + " time_series_data = []\n", + " for t in range(input_data.shape[0] - w + 1):\n", + " sliding_window_pt = input_data[t:t + w]\n", + " time_series_data.append(np.array(sliding_window_pt))\n", + " return np.array(time_series_data)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 281, + "id": "9df155e6", + "metadata": {}, + "outputs": [], + "source": [ + "time_series_sliding = create_time_series_sliding(tekin_applied_datapoints)" + ] + }, + { + "cell_type": "code", + "execution_count": 282, + "id": "0fdce6a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5517, 5, 4)" + ] + }, + "execution_count": 282, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "time_series_sliding.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 283, + "id": "2720f9ee", + "metadata": {}, + "outputs": [], + "source": [ + "import gtda.time_series\n", + "given_taken_embedding = gtda.time_series.TakensEmbedding(time_delay = d, dimension = N, stride = 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 284, + "id": "8907e2a0", + "metadata": {}, + "outputs": [], + "source": [ + "sliding_window = gtda.time_series.SlidingWindow(size=w, stride=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 285, + "id": "451f69b5", + "metadata": {}, + "outputs": [], + "source": [ + "data_taken_embedding = given_taken_embedding.fit_transform(time_series.reshape(1, -1))" + ] + }, + { + "cell_type": "code", + "execution_count": 286, + "id": "3e787d3d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1, 5521, 4)" + ] + }, + "execution_count": 286, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_taken_embedding.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 287, + "id": "7f9ceebb", + "metadata": {}, + "outputs": [], + "source": [ + "data_taken_embedding = data_taken_embedding[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 288, + "id": "8f960e9c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5521, 4)" + ] + }, + "execution_count": 288, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_taken_embedding.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 289, + "id": "2ab61aa2", + "metadata": {}, + "outputs": [], + "source": [ + "window_embedding = sliding_window.fit_transform(data_taken_embedding)" + ] + }, + { + "cell_type": "code", + "execution_count": 290, + "id": "502da9c6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5517, 5, 4)" + ] + }, + "execution_count": 290, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "window_embedding.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 291, + "id": "479473d6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n" + ] + } + ], + "source": [ + "print(np.array_equal(time_series_sliding, window_embedding))" ] }, { @@ -273,12 +551,143 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 292, + "id": "2275b349", + "metadata": {}, + "outputs": [], + "source": [ + "import gudhi" + ] + }, + { + "cell_type": "code", + "execution_count": 293, "id": "026d6b61", "metadata": {}, "outputs": [], "source": [ - "# write your code here" + "# write your code here\n", + "def create_simplicial_simplex(time_series_data, epsilon=epsilon[0], n=N):\n", + " simplex_trees = []\n", + " # TODO: check this via the documentation\n", + " for time_window in time_series_data:\n", + " rips_complex = gudhi.RipsComplex(points=time_window, max_edge_length=epsilon)\n", + " simplex_tree = rips_complex.create_simplex_tree(max_dimension=n)\n", + " simplex_trees.append(simplex_tree)\n", + " return np.array(simplex_trees)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 294, + "id": "f9bba7f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5517, 5, 4)" + ] + }, + "execution_count": 294, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "time_series_sliding.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 295, + "id": "e67cc9d1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5517,)" + ] + }, + "execution_count": 295, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "simplex_tree_k = create_simplicial_simplex(time_series_sliding, epsilon=epsilon[0], n=N)\n", + "simplex_tree_k.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 296, + "id": "6610990e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [2, 0], [2], [2], [2, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [2], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0]]\n" + ] + } + ], + "source": [ + "# Compute persistence for each simplex tree and then calculate Betti numbers\n", + "for simplex_tree in simplex_tree_k:\n", + " simplex_tree.compute_persistence()\n", + "\n", + "# Now you can call betti_numbers() on each simplex tree\n", + "betti_numbers_list = [simplex_tree.betti_numbers() for simplex_tree in simplex_tree_k]\n", + "\n", + "print(betti_numbers_list)" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "id": "2ee98440", + "metadata": {}, + "outputs": [], + "source": [ + "max_length_classical = max(len(sublist) for sublist in betti_numbers_list)\n", + "betti_numbers_all_classical = np.empty((window_embedding.shape[0],N+1))\n", + "betti_numbers_all_classical = np.array([sublist + [0] * (max_length_classical - len(sublist)) \n", + " for sublist in betti_numbers_list])" + ] + }, + { + "cell_type": "code", + "execution_count": 324, + "id": "32c4c556", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5517, 4)" + ] + }, + "execution_count": 324, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "betti_numbers_all_classical.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 323, + "id": "42c5cc16", + "metadata": {}, + "outputs": [], + "source": [ + "np.save(\"betti_numbers_classical.npy\", betti_numbers_all_classical)" ] }, { @@ -337,12 +746,269 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "246e41ce", + "execution_count": 297, + "id": "09c1e6dd", "metadata": {}, "outputs": [], "source": [ - "# write your code here" + "# chatgpt\n", + "# this one is to convert the simplex tree to a nested list\n", + "def convert_gudhi_simplex_tree(simplex_tree):\n", + " \"\"\"\n", + " Convert a GUDHI SimplexTree into a nested list format.\n", + " \n", + " Parameters:\n", + " simplex_tree: A GUDHI SimplexTree object that has been built (e.g., from Rips complex).\n", + " \n", + " Returns:\n", + " A list of lists where the i-th element is a list of all i-simplices.\n", + " Each simplex is represented as a sorted list of vertices.\n", + " \n", + " For example:\n", + " [\n", + " [[1], [2], [3], [4], [5]], # 0-simplices\n", + " [[1, 2], [1, 3], [2, 3], [3, 4], [3, 5], [4, 5]], # 1-simplices\n", + " [[1, 2, 3]] # 2-simplices\n", + " ]\n", + " \"\"\"\n", + " # Get all simplices along with their filtration values.\n", + " # The result is a list of tuples: (simplex, filtration_value)\n", + " simplices_with_filtration = simplex_tree.get_filtration()\n", + " \n", + " # We'll group simplices by their dimension.\n", + " simplex_dict = {} # keys: dimension, value: list of simplices\n", + " \n", + " for simplex, _ in simplices_with_filtration:\n", + " # In GUDHI, a simplex is typically returned as a tuple of vertices.\n", + " # Its dimension is len(simplex) - 1.\n", + " dim = len(simplex) - 1\n", + " # Ensure the simplex is in sorted order.\n", + " simplex_sorted = sorted(simplex)\n", + " if dim not in simplex_dict:\n", + " simplex_dict[dim] = []\n", + " simplex_dict[dim].append(simplex_sorted)\n", + "\n", + " for dim in simplex_dict:\n", + " simplex_dict[dim].sort(key=lambda s: tuple(s))\n", + " \n", + " # Now, we convert the dictionary to a list of lists.\n", + " # Determine the maximum dimension present.\n", + " max_dim = max(simplex_dict.keys())\n", + " # Create a list for each dimension from 0 to max_dim.\n", + " nested_list = [simplex_dict.get(dim, []) for dim in range(max_dim + 1)]\n", + " \n", + " return nested_list" + ] + }, + { + "cell_type": "markdown", + "id": "91d673f1", + "metadata": {}, + "source": [ + "This is from the example" + ] + }, + { + "cell_type": "code", + "execution_count": 298, + "id": "b462f9f7", + "metadata": {}, + "outputs": [], + "source": [ + "test_simplex_tree_list = [[[1], [2], [3], [4], [5]],[[1, 2], [1, 3], [2, 3], [3, 4], [3, 5], [4, 5]], [[1, 2, 3]]]" + ] + }, + { + "cell_type": "markdown", + "id": "01997125", + "metadata": {}, + "source": [ + "This function is to calculate all the possible boundary operators of each simplex tree" + ] + }, + { + "cell_type": "code", + "execution_count": 299, + "id": "117e9cc4", + "metadata": {}, + "outputs": [], + "source": [ + "#joe's codes\n", + "\n", + "def joe_make_boundary_operator(simplex_tree):\n", + " max_dim = len(simplex_tree) - 1 # Max dimension in the simplex tree\n", + " boundary_operators = []\n", + " \n", + " for dim in range(1, max_dim + 1):\n", + " simplices = simplex_tree[dim] # Simplices of current dimension\n", + " lower_simplices = simplex_tree[dim - 1] # Simplices of lower dimension\n", + " \n", + " row_count = len(lower_simplices)\n", + " col_count = len(simplices)\n", + " boundary_matrix = np.zeros((row_count, col_count)) # Ensure integer output\n", + " \n", + " for j, simplex in enumerate(simplices): # Iterate over higher-dim simplices\n", + " for i, face in enumerate(lower_simplices): # Iterate over lower-dim simplices\n", + " if set(face).issubset(set(simplex)):\n", + " missing_vertex = list(set(simplex) - set(face))[0] # Find the missing vertex\n", + " sign = (-1) ** simplex.index(missing_vertex) # Compute sign based on position of missing vertex\n", + " boundary_matrix[i, j] = sign\n", + " \n", + " boundary_operators.append(boundary_matrix) # Convert to list for expected output\n", + " \n", + " return boundary_operators\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 300, + "id": "06e9004b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[array([[-1., -1., 0., 0., 0., 0.],\n", + " [ 1., 0., -1., 0., 0., 0.],\n", + " [ 0., 1., 1., -1., -1., 0.],\n", + " [ 0., 0., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 0., 1., 1.]]), array([[ 1.],\n", + " [-1.],\n", + " [ 1.],\n", + " [ 0.],\n", + " [ 0.],\n", + " [ 0.]])]\n" + ] + } + ], + "source": [ + "print(joe_make_boundary_operator(test_simplex_tree_list))" + ] + }, + { + "cell_type": "markdown", + "id": "fb0b7be6", + "metadata": {}, + "source": [ + "Make a list of 64 simplex trees in the form of nested list\n", + "\n", + "Get_Boundary_Operators(index) -- use to get the list boundary operators of a simplex tree (ascending order, ignoring $\\partial_0$) $\\partial_1 \\rightarrow \\partial_n$ " + ] + }, + { + "cell_type": "code", + "execution_count": 301, + "id": "d2e8ee99", + "metadata": {}, + "outputs": [], + "source": [ + "ListOf_simplex_tree = []\n", + "for simplex_tree in simplex_tree_k:\n", + " simplex_tree_list = convert_gudhi_simplex_tree(simplex_tree)\n", + " ListOf_simplex_tree.append(simplex_tree_list)\n", + "\n", + "def Get_Boundary_Operators(index, verbal=True):\n", + " boundary_operators = joe_make_boundary_operator(ListOf_simplex_tree[index])\n", + " if verbal:\n", + " print(f\"Boundary Operators for Simplex Tree {index}: \\n\")\n", + " for i, matrix in enumerate(boundary_operators):\n", + " print(f\"Boundary Operator {i + 1}:\")\n", + " print(matrix)\n", + " return boundary_operators" + ] + }, + { + "cell_type": "code", + "execution_count": 302, + "id": "9cafb97a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boundary Operators for Simplex Tree 0: \n", + "\n", + "Boundary Operator 1:\n", + "[[-1. -1. -1. -1. 0. 0. 0. 0. 0. 0.]\n", + " [ 1. 0. 0. 0. -1. -1. -1. 0. 0. 0.]\n", + " [ 0. 1. 0. 0. 1. 0. 0. -1. -1. 0.]\n", + " [ 0. 0. 1. 0. 0. 1. 0. 1. 0. -1.]\n", + " [ 0. 0. 0. 1. 0. 0. 1. 0. 1. 1.]]\n", + "Boundary Operator 2:\n", + "[[ 1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]\n", + " [-1. 0. 0. 1. 1. 0. 0. 0. 0. 0.]\n", + " [ 0. -1. 0. -1. 0. 1. 0. 0. 0. 0.]\n", + " [ 0. 0. -1. 0. -1. -1. 0. 0. 0. 0.]\n", + " [ 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.]\n", + " [ 0. 1. 0. 0. 0. 0. -1. 0. 1. 0.]\n", + " [ 0. 0. 1. 0. 0. 0. 0. -1. -1. 0.]\n", + " [ 0. 0. 0. 1. 0. 0. 1. 0. 0. 1.]\n", + " [ 0. 0. 0. 0. 1. 0. 0. 1. 0. -1.]\n", + " [ 0. 0. 0. 0. 0. 1. 0. 0. 1. 1.]]\n", + "Boundary Operator 3:\n", + "[[-1. -1. 0. 0. 0.]\n", + " [ 1. 0. -1. 0. 0.]\n", + " [ 0. 1. 1. 0. 0.]\n", + " [-1. 0. 0. -1. 0.]\n", + " [ 0. -1. 0. 1. 0.]\n", + " [ 0. 0. -1. -1. 0.]\n", + " [ 1. 0. 0. 0. -1.]\n", + " [ 0. 1. 0. 0. 1.]\n", + " [ 0. 0. 1. 0. -1.]\n", + " [ 0. 0. 0. 1. 1.]]\n", + "Boundary Operator 4:\n", + "[[ 1.]\n", + " [-1.]\n", + " [ 1.]\n", + " [-1.]\n", + " [ 1.]]\n" + ] + }, + { + "data": { + "text/plain": [ + "[array([[-1., -1., -1., -1., 0., 0., 0., 0., 0., 0.],\n", + " [ 1., 0., 0., 0., -1., -1., -1., 0., 0., 0.],\n", + " [ 0., 1., 0., 0., 1., 0., 0., -1., -1., 0.],\n", + " [ 0., 0., 1., 0., 0., 1., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 1., 0., 0., 1., 0., 1., 1.]]),\n", + " array([[ 1., 1., 1., 0., 0., 0., 0., 0., 0., 0.],\n", + " [-1., 0., 0., 1., 1., 0., 0., 0., 0., 0.],\n", + " [ 0., -1., 0., -1., 0., 1., 0., 0., 0., 0.],\n", + " [ 0., 0., -1., 0., -1., -1., 0., 0., 0., 0.],\n", + " [ 1., 0., 0., 0., 0., 0., 1., 1., 0., 0.],\n", + " [ 0., 1., 0., 0., 0., 0., -1., 0., 1., 0.],\n", + " [ 0., 0., 1., 0., 0., 0., 0., -1., -1., 0.],\n", + " [ 0., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n", + " [ 0., 0., 0., 0., 1., 0., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 0., 0., 1., 0., 0., 1., 1.]]),\n", + " array([[-1., -1., 0., 0., 0.],\n", + " [ 1., 0., -1., 0., 0.],\n", + " [ 0., 1., 1., 0., 0.],\n", + " [-1., 0., 0., -1., 0.],\n", + " [ 0., -1., 0., 1., 0.],\n", + " [ 0., 0., -1., -1., 0.],\n", + " [ 1., 0., 0., 0., -1.],\n", + " [ 0., 1., 0., 0., 1.],\n", + " [ 0., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 1., 1.]]),\n", + " array([[ 1.],\n", + " [-1.],\n", + " [ 1.],\n", + " [-1.],\n", + " [ 1.]])]" + ] + }, + "execution_count": 302, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Get_Boundary_Operators(0)" ] }, { @@ -421,14 +1087,340 @@ "**Answer:**" ] }, + { + "cell_type": "markdown", + "id": "ea9a8a28", + "metadata": {}, + "source": [ + "Making the list Combinatorial Laplacian from $k=0 \\rightarrow k = \\text{number of dimensions} - 1$ for each simplex tree using the formula:\n", + "\n", + "$$\n", + "\\Delta_k = \\left( \\partial_k \\right)^\\dagger \\partial_k \n", + "+ \\partial_{k+1} \\left( \\partial_{k+1} \\right)^\\dagger\n", + "$$\n", + "For example with a simplex tree of 4 dimension, we will have totally ($\\partial_1, \\partial_2, \\partial_3$), and 3 Combinatorial Laplacian:\n", + "\n", + "$$\n", + "\\Delta_0 = \\left( \\partial_0 \\right)^\\dagger \\partial_0 \n", + "+ \\partial_{1} \\left( \\partial_{1} \\right)^\\dagger = \\partial_{1} \\left( \\partial_{1} \\right)^\\dagger\n", + "$$\n", + "\n", + "$$\n", + "\\Delta_1 = \\left( \\partial_1 \\right)^\\dagger \\partial_1 \n", + "+ \\partial_{2} \\left( \\partial_{2} \\right)^\\dagger \n", + "$$\n", + "\n", + "$$\n", + "\\Delta_2 = \\left( \\partial_2 \\right)^\\dagger \\partial_2 \n", + "+ \\partial_{3} \\left( \\partial_{3} \\right)^\\dagger \n", + "$$" + ] + }, { "cell_type": "code", - "execution_count": null, - "id": "8f818f78", + "execution_count": 303, + "id": "b9dc1c38", "metadata": {}, "outputs": [], "source": [ - "# write your code here" + "def Get_Combinatorial_Laplacian(index, verbal=True):\n", + " boundary_operators = Get_Boundary_Operators(index, verbal=False)\n", + " combinatorial_laplacian = []\n", + " combinatorial_laplacian.append(np.dot(boundary_operators[0], boundary_operators[0].T))\n", + " for i in range(len(boundary_operators)-1):\n", + " combinatorial_laplacian.append(np.dot(boundary_operators[i].T, boundary_operators[i]) + np.dot(boundary_operators[i+1], boundary_operators[i+1].T))\n", + " if verbal:\n", + " print(f\"Combinatorial Laplacian for Simplex Tree {index}:\")\n", + " for i, matrix in enumerate(combinatorial_laplacian):\n", + " print(f\"Combinatorial Laplacian {i}:\")\n", + " print(matrix)\n", + " return combinatorial_laplacian\n" + ] + }, + { + "cell_type": "code", + "execution_count": 304, + "id": "d68f8b59", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Combinatorial Laplacian for Simplex Tree 33:\n", + "Combinatorial Laplacian 0:\n", + "[[ 4. -1. -1. -1. -1.]\n", + " [-1. 4. -1. -1. -1.]\n", + " [-1. -1. 4. -1. -1.]\n", + " [-1. -1. -1. 4. -1.]\n", + " [-1. -1. -1. -1. 4.]]\n", + "Combinatorial Laplacian 1:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Combinatorial Laplacian 2:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Combinatorial Laplacian 3:\n", + "[[5. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 5.]]\n" + ] + }, + { + "data": { + "text/plain": [ + "[array([[ 4., -1., -1., -1., -1.],\n", + " [-1., 4., -1., -1., -1.],\n", + " [-1., -1., 4., -1., -1.],\n", + " [-1., -1., -1., 4., -1.],\n", + " [-1., -1., -1., -1., 4.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 5.]])]" + ] + }, + "execution_count": 304, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Get_Combinatorial_Laplacian(33)" + ] + }, + { + "cell_type": "code", + "execution_count": 305, + "id": "c5373653", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 3. 0. 0. 0. 0. 0. 0. 0.]\n", + " [ 0. 3. 0. -1. -1. 0. 0. 0.]\n", + " [ 0. 0. 3. -1. -1. 0. 0. 0.]\n", + " [ 0. -1. -1. 2. 1. -1. 0. 0.]\n", + " [ 0. -1. -1. 1. 2. 1. 0. 0.]\n", + " [ 0. 0. 0. -1. 1. 2. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 3. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 0. 3.]]\n" + ] + } + ], + "source": [ + "#Joe's code\n", + "\n", + "delta_1 = np.array([\n", + " [3, 0, 0, 0, 0, 0],\n", + " [0, 3, 0, -1, -1, 0],\n", + " [0, 0, 3, -1, -1, 0],\n", + " [0, -1, -1, 2, 1, -1],\n", + " [0, -1, -1, 1, 2, 1],\n", + " [0, 0, 0, -1, 1, 2]\n", + "])\n", + "def padd_and_rescale(laplacian):\n", + " if laplacian.shape[0] != 2**np.ceil(np.log2(laplacian.shape[0])):\n", + " padded_size = int(2**np.ceil(np.log2(laplacian.shape[0])))\n", + " padded_laplacian = np.zeros((padded_size, padded_size))\n", + " padded_laplacian[:laplacian.shape[0], :laplacian.shape[1]] = laplacian\n", + " max_eigenvalue = np.max(np.diag(laplacian))\n", + " np.fill_diagonal(padded_laplacian[laplacian.shape[0]:, laplacian.shape[1]:], max_eigenvalue )\n", + " return padded_laplacian\n", + " else:\n", + " return laplacian\n", + "\n", + "\n", + "H_1 = padd_and_rescale(delta_1)\n", + "print(H_1)" + ] + }, + { + "cell_type": "code", + "execution_count": 306, + "id": "c7f60eaf", + "metadata": {}, + "outputs": [], + "source": [ + "def Get_Hamiltonian(index, verbal=True):\n", + " combinatorial_laplacian = Get_Combinatorial_Laplacian(index, verbal=False)\n", + " hamiltonian = []\n", + " for i in range(len(combinatorial_laplacian)):\n", + " hamiltonian.append(padd_and_rescale(combinatorial_laplacian[i]))\n", + " if verbal:\n", + " print(f\"Hamiltonian for Simplex Tree {index}:\")\n", + " for i, matrix in enumerate(hamiltonian):\n", + " print(f\"Hamiltonian {i}:\")\n", + " print(matrix)\n", + " return hamiltonian" + ] + }, + { + "cell_type": "code", + "execution_count": 307, + "id": "e7b5c6f1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hamiltonian for Simplex Tree 33:\n", + "Hamiltonian 0:\n", + "[[ 4. -1. -1. -1. -1. 0. 0. 0.]\n", + " [-1. 4. -1. -1. -1. 0. 0. 0.]\n", + " [-1. -1. 4. -1. -1. 0. 0. 0.]\n", + " [-1. -1. -1. 4. -1. 0. 0. 0.]\n", + " [-1. -1. -1. -1. 4. 0. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 4. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 4. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 0. 4.]]\n", + "Hamiltonian 1:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Hamiltonian 2:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Hamiltonian 3:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5.]]\n" + ] + }, + { + "data": { + "text/plain": [ + "[array([[ 4., -1., -1., -1., -1., 0., 0., 0.],\n", + " [-1., 4., -1., -1., -1., 0., 0., 0.],\n", + " [-1., -1., 4., -1., -1., 0., 0., 0.],\n", + " [-1., -1., -1., 4., -1., 0., 0., 0.],\n", + " [-1., -1., -1., -1., 4., 0., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 4., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 4., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 0., 4.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5.]])]" + ] + }, + "execution_count": 307, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Get_Hamiltonian(33)" ] }, { @@ -499,12 +1491,1388 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 308, "id": "848ef40c", "metadata": {}, "outputs": [], "source": [ - "# write your code here" + "# write your code here\n", + "#Joe's code\n", + "from qiskit import *\n", + "#example: making the laplace matrix from example\n", + "\n", + "H_1 = np.array([\n", + " [3, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 3, 0, -1, -1, 0, 0, 0],\n", + " [0, 0, 3, -1, -1, 0, 0, 0],\n", + " [0, -1, -1, 2, 1, -1, 0, 0], \n", + " [0, -1, -1, 1, 2, 1, 0, 0],\n", + " [0, 0, 0, -1, 1, 2, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 3, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 3]\n", + "])" + ] + }, + { + "cell_type": "markdown", + "id": "b6e6032a", + "metadata": {}, + "source": [ + "make unitary\n", + "$U = e^{iH}$" + ] + }, + { + "cell_type": "code", + "execution_count": 309, + "id": "3a66554c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 309, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from scipy.linalg import expm\n", + "\n", + "def make_unitaryCirc(H):\n", + " U = expm(1j * H)\n", + "\n", + "\n", + " circuitU = QuantumCircuit(int(np.log2(U.shape[0])))\n", + " circuitU.unitary(U, range(int(np.log2(U.shape[0])))) \n", + "\n", + " return circuitU\n", + "circuitU = make_unitaryCirc(H_1)\n", + "circuitU.draw('mpl')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "id": "686fc8d9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\n", + "\n", + "\\begin{bmatrix}\n", + "-0.9899924966 + 0.1411200081 i & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\\\\n", + " 0 & -0.2890051255 + 0.0411966816 i & 0.7009873711 - 0.0999233265 i & 0.0641600301 + 0.4500988149 i & 0.0641600301 + 0.4500988149 i & 0 & 0 & 0 \\\\\n", + " 0 & 0.7009873711 - 0.0999233265 i & -0.2890051255 + 0.0411966816 i & 0.0641600301 + 0.4500988149 i & 0.0641600301 + 0.4500988149 i & 0 & 0 & 0 \\\\\n", + " 0 & 0.0641600301 + 0.4500988149 i & 0.0641600301 + 0.4500988149 i & 0.3743257067 - 0.0058433211 i & 0.0376565389 - 0.0528833238 i & 0.6633308322 - 0.0470400027 i & 0 & 0 \\\\\n", + " 0 & 0.0641600301 + 0.4500988149 i & 0.0641600301 + 0.4500988149 i & 0.0376565389 - 0.0528833238 i & 0.3743257067 - 0.0058433211 i & -0.6633308322 + 0.0470400027 i & 0 & 0 \\\\\n", + " 0 & 0 & 0 & 0.6633308322 - 0.0470400027 i & -0.6633308322 + 0.0470400027 i & -0.3266616644 + 0.0940800054 i & 0 & 0 \\\\\n", + " 0 & 0 & 0 & 0 & 0 & 0 & -0.9899924966 + 0.1411200081 i & 0 \\\\\n", + " 0 & 0 & 0 & 0 & 0 & 0 & 0 & -0.9899924966 + 0.1411200081 i \\\\\n", + " \\end{bmatrix}\n", + "$$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 310, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from qiskit.quantum_info import Operator\n", + "circuitOp = Operator.from_circuit(circuitU)\n", + "circuitOp.draw('latex')" + ] + }, + { + "cell_type": "code", + "execution_count": 311, + "id": "6c5a4838", + "metadata": {}, + "outputs": [], + "source": [ + "#make QPE\n", + "from qiskit.circuit.library import PhaseEstimation\n", + "\n", + "def create_full_qpe_circuit(circuitU):\n", + " number_of_counting_qubits = circuitU.num_qubits\n", + " fullcircuit = QuantumCircuit(2 * number_of_counting_qubits)\n", + " classical_reg1 = ClassicalRegister(number_of_counting_qubits, name=\"c1\")\n", + " fullcircuit.add_register(classical_reg1)\n", + " classical_reg2 = ClassicalRegister(number_of_counting_qubits, name=\"c2\")\n", + " fullcircuit.add_register(classical_reg2)\n", + " fullcircuit.add_register(QuantumRegister(number_of_counting_qubits, name=\"Aux\"))\n", + " \n", + " for i in range(number_of_counting_qubits):\n", + " fullcircuit.h(number_of_counting_qubits + i)\n", + " fullcircuit.cx(number_of_counting_qubits + i, 2 * number_of_counting_qubits + i)\n", + " \n", + " fullcircuit.measure(range(2 * number_of_counting_qubits, 3 * number_of_counting_qubits), cbit=classical_reg2)\n", + " fullcircuit.barrier()\n", + " \n", + " QPE = PhaseEstimation(number_of_counting_qubits, circuitU).decompose().decompose() #\n", + " fullcircuit.compose(QPE, inplace=True)\n", + " \n", + " fullcircuit.barrier()\n", + " fullcircuit.measure(range(number_of_counting_qubits), range(number_of_counting_qubits))\n", + " \n", + " \n", + " return fullcircuit\n", + "\n", + "\n", + "full_qpe_circuit = create_full_qpe_circuit(circuitU) \n", + "#full_qpe_circuit.draw('mpl')" + ] + }, + { + "cell_type": "code", + "execution_count": 312, + "id": "416033f9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Measurement counts (combined): {'111 011': 1, '000 011': 1, '110 100': 1, '101 010': 2, '111 000': 1, '110 011': 1, '101 101': 1, '100 000': 43, '111 110': 5, '111 101': 3, '110 001': 136, '000 101': 4, '000 000': 2, '010 000': 1, '100 110': 2, '010 010': 5, '000 100': 1, '011 100': 25, '000 110': 10, '001 000': 2, '100 011': 20, '010 011': 15, '001 110': 6, '110 110': 5, '110 101': 5, '001 111': 5, '100 010': 4, '101 110': 5, '010 101': 8, '011 111': 5, '101 000': 41, '001 100': 21, '111 001': 100, '100 001': 17, '011 001': 18, '001 010': 7, '100 101': 2, '000 001': 109, '011 010': 5, '011 011': 30, '001 001': 70, '001 011': 20, '100 111': 7, '000 010': 2, '010 110': 2, '010 001': 50, '010 111': 4, '001 101': 4, '010 100': 32, '110 000': 1, '101 001': 54, '011 110': 7, '100 100': 28, '011 000': 41, '110 010': 1, '101 011': 2}\n", + "Counts for classical_reg1: {'011': 90, '100': 108, '010': 26, '000': 132, '101': 27, '110': 42, '001': 554, '111': 21}\n", + "Counts for classical_reg2: {'111': 110, '000': 129, '110': 150, '101': 105, '100': 123, '010': 117, '011': 131, '001': 135}\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 312, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from qiskit_aer import AerSimulator, Aer\n", + "from qiskit.visualization import plot_histogram\n", + "\n", + "# Assuming circuitU is already defined\n", + "full_qpe_circuit = create_full_qpe_circuit(circuitU)\n", + "number_of_counting_qubits = circuitU.num_qubits\n", + "# Use the Aer simulator\n", + "simulator = Aer.get_backend('aer_simulator')\n", + "\n", + "# Execute the circuit on the simulator\n", + "job = simulator.run(full_qpe_circuit, shots=1000)\n", + "\n", + "# Get the results\n", + "result = job.result()\n", + "\n", + "# Get the counts (measurement outcomes)\n", + "counts = result.get_counts()\n", + "\n", + "# Print the counts\n", + "print(\"Measurement counts (combined):\", counts)\n", + "\n", + "# Separate the counts for classical_reg1 and classical_reg2\n", + "counts_reg1 = {}\n", + "counts_reg2 = {}\n", + "\n", + "for bitstring, count in counts.items():\n", + " # Split the bitstring into two parts\n", + " # classical_reg2 (auxiliary qubits) comes first, followed by classical_reg1 (evaluation qubits)\n", + " reg2_bits, reg1_bits = bitstring.split() \n", + " \n", + " # Update the counts for each register\n", + " counts_reg1[reg1_bits] = counts_reg1.get(reg1_bits, 0) + count\n", + " counts_reg2[reg2_bits] = counts_reg2.get(reg2_bits, 0) + count\n", + "\n", + "# Print the separated counts\n", + "print(\"Counts for classical_reg1:\", counts_reg1)\n", + "print(\"Counts for classical_reg2:\", counts_reg2)\n", + "\n", + "# Plot the counts as histograms\n", + "plot_histogram(counts_reg1, title=\"Counts for classical_reg1\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 313, + "id": "0c2fd57a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Betti number: 1\n" + ] + } + ], + "source": [ + "p_0 = counts_reg1.get('000', 0) / sum(counts_reg1.values())\n", + "Betti_number = round(2**number_of_counting_qubits * p_0)\n", + "print(f\"Betti number: {Betti_number}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "id": "11f96fbf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkAAAAHDCAYAAADMVqXdAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAARihJREFUeJzt3Qm4jfX+//+3eZ4yy5iKlFlEUoYSjnJKowo5TUcqSnIKKR1KyamUdAxpToOKfiJDThkjKaeETJklZJ7u//X6nO+9/mtve28ba+013M/HdS3bute91/q8133vdb/XZ8zmeZ5nAAAAAZI91gUAAADIaiRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQACiZsWKFXbFFVdYkSJFLFu2bDZx4sRYF8mV4/HHH4/Z61922WXuFi2VK1e2Ll26RO35gWRBAgRkgVWrVtldd91lZ511luXNm9cKFy5sF198sf3rX/+y/fv3Wzx4+eWXbdy4cRF9zs6dO9sPP/xgTz31lL3xxhvWoEGDiD4/Es9HH31kN9xwg/tbyJ8/v1WrVs0efPBB27lzZ6yLhoDJGesCAMlu8uTJdt1111mePHnstttuswsuuMAOHTpkX3/9tfXu3duWLVtmo0aNiosEqESJEhGrPVBiN3fuXHv00Uft3nvvjchzJoOpU6dakN15551Wrlw5u+WWW6xixYouQX7ppZfs888/t8WLF1u+fPliXUQEBAkQEEWrV6+2G2+80SpVqmQzZsywsmXLhh7r3r27rVy50iVIyWjbtm3uZ9GiRSP2nHv37rUCBQpYIsudO7fFu2PHjrkkXbWVkfbBBx8c1wRYv359V1v41ltv2d/+9reIvyaQFprAgCh65plnbM+ePTZ69OgUyY/v7LPPtvvvvz90/8iRI/bkk09a1apVXY2R+nP84x//sIMHD2aqH0vq/h9q0tK+33zzjfXq1ctKlizpEoi//vWvoQTF/z3VRH311Vduf938i9Thw4dt4MCBds4557gLYvHixa1p06Y2bdq0dONW2ZT0iWq59Hx6Dd93331nbdq0cU2BBQsWtJYtW9q8efNSPIdfdpXp73//u5UqVcrKly+f4ft94MAB99rnnnuuK6ve82uuucY1QaZn7dq17vnVFKPaB8WnGrs1a9ak2C8z78PmzZuta9eurpw6fnr9q6++OsVzpdUHKDPlfvbZZ61JkybudVVOJQ1KJiJB77Nq6ZSAnH/++a7sU6ZMcY9t2LDBbr/9ditdurTbrsfHjBmT5vt41VVXufNLx6pnz572xRdfuOeeNWtWivhT0/koP/30U0TiATKDGiAgij777DPX10EXrszQt9/XX3/dOnbs6PpFzJ8/3wYPHuwuDB9//PEpl6NHjx5WrFgxGzBggLsYDx8+3F3w3nvvPfe47msfJSNqshJd8EQXZpVBZWvYsKHt3r3bvv32W9dccfnll6f5erp4q+ZHF8GbbrrJ2rZt655blGhdcsklLvl5+OGHLVeuXPbqq6+6C6OSnUaNGqV4LiUnStz69+/vaoDSc/ToUfvLX/5i06dPd7VuSiz//PNPl6D8+OOPLqlMy8KFC23OnDnud5S46P155ZVXXHn++9//un4qmX0frr32Whef3kslfFu3bnWvv27duhQJ4KmUW/3FlGB06tTJ1c68++67LlGbNGmStWvXzk6Xaijff/99d16oKVTl3bJli1100UWhBEnH4f/9v/9n3bp1c/E/8MAD7nd1XFq0aGGbNm1y5S9Tpoy9/fbbNnPmzEy9thJH0esCWcYDEBW7du3y9Cd29dVXZ2r/JUuWuP3/9re/pdj+0EMPue0zZswIbdP9AQMGHPcclSpV8jp37hy6P3bsWLdvq1atvGPHjoW29+zZ08uRI4e3c+fO0Lbzzz/fu/TSS497ztq1a3vt2rXzTtbq1avdaw8dOjTF9g4dOni5c+f2Vq1aFdq2ceNGr1ChQl6zZs2OK3vTpk29I0eOnPD1xowZ4/YfNmzYcY+Fx576vdu3b99x+8+dO9ftN378+Ey/D3/88Uea8aam9zj8fc5suVOX89ChQ94FF1zgtWjRIsNzIDP0+tmzZ/eWLVuWYnu3bt28smXLetu3b0+x/cYbb/SKFCkSKtNzzz3nnmPixImhffbv3+9Vr17dbZ85c2aGr6/X0fn4yy+/nFS5gdNBExgQJfqGLIUKFcrU/uoEKmqqCqeaIDmdvkLqeKpv8T7VwKjmQc0WJ6KaHNVqaEj76dJrqhNwhw4dXM2YT00+N998s+sY7r9vvjvuuMNy5Mhxwuf+8MMPXQ2Cal9SC489tfBOt2rm+v33313TpOJW7U5m3wc9j/r3qLnnjz/+OGF5T7bc4eXU8+/atcsdx/Ayno5LL73UatSoEbqvvEhla9++vfv/9u3bQ7fWrVu71/dfW81lZ555pquh8qkpT8fuRFRTpCZinedqXgSyCgkQECVq4hE1Z2SGkpHs2bO7i284NSfo4puZZCU9Gm0TTs1hkpkL9RNPPOGGKKt/Ss2aNV2fnqVLl55SOdTvaN++fa6/TWrnnXee63y7fv36FNurVKmSqedWfxk9b86cOU96tJqa1ypUqOD6uCgZUVOPYtZFPrPvg3736aefdk1Eaj5s1qyZ6wPmN++cbrnV1KXmKCUWZ5xxhiujmurCy3g6Ur/POlaKVyMU9VrhN/VzEjXxic5NNdWlTjRTn8up/ec//3HNaUqoNFUCkJVIgIAoJkAa7qt+HCcjo9qKzNSwpCW9GpT/tX5kTBdyXaTV8VVD+P/9739bvXr13M+sEO1h0ap50cX3+uuvd31gVEOl/jfqbKyE7GTeB/WJ+eWXX1xfISUq/fr1c4mdOn2fDiUKql3Rc2q6AtUWqoyqNcvMMTyV99mPXcPV9Vpp3TSX1an6/vvvXUx6L9WZ+2QTV+B0ccYBUaTOrfoGrflwGjdunOG+GjWli46aWHTR9Kkjqr6J+6Oq/Bqc1BPHqWOsOqGeqowSL9U46Fu/bhrVpmRAnYJPdsiyag/UqXj58uXHPfbzzz+7GjDVxJwK1UCo07iasdSxOrN08dUQ7Oeeey7FqKy0JubLzPugcqg5Rzcdyzp16rjnfvPNN0+53GqKUvKjUVWqafKNHTvWokXHSs23SqpbtWqV4b46N9VhXMlY+HmkaR7SokTyyiuvdKPFlMz5HeSBrEQNEBBFGuWkYcG6QCqRSetCoNE9opFS/oiscMOGDXM/w0f66KI5e/bsFPsp0UqvBigzVM60LvrqExNOFys1baQemp8ZqonS0hiffPJJiqHhem/UF0TDyv2mw5OlEVjqn6JJ9VLLqJZEZUr9+Isvvnjce3mi90FNe0qcwuk4KYnI6L3KTLlVRiUW4WXS+xfNpUX0miqbkq+0ajHDp1FQE5aGy3/66aehbXovXnvtteN+T02COgeU7CqhU6IFxAI1QEAU6QKoC7um/letTvhM0Bp6PWHChNC8PbVr13Y1EUpklIioU+qCBQvcsHh1Gm7evHnoeZVQ3X333e4CpSHYak7QxeR0hhFrXhn1KRk0aJC7sOvbuYY2q2OshoTrcdWAaOi3ak1OdXZnPb+aT5TsaIi7mj40DF5JgvrMnCq9t+PHj3edyPW+qYOwhmd/+eWX7nU0H096tXRapkPrlSlW1dbpd9QEFu5E74OavjSfkZrStK/i0tQFSu40vP10yq3kV4mwak3U7KW+NyNGjHDH6VT7Y2XGkCFD3FB2TU2gDs2Ka8eOHa7zs8qn/4uWeVECpykPNAxendo1p5A/kWJ4rZBi+PXXX92XA3V6182nvlPpTa0ARNxpjSEDkCka3nvHHXd4lStXdkPANeT74osv9l588UXvwIEDof0OHz7sDRw40KtSpYqXK1cur0KFCl7fvn1T7CNHjx71+vTp45UoUcLLnz+/17p1a2/lypXpDoNfuHBhit/XsOTUw5M3b97shnmrbHrMH6o9aNAgr2HDhl7RokW9fPnyuaHNTz31lBuGfSrD4GXx4sWuzAULFnTlb968uTdnzpwU+6RX9oxoWPajjz4aev/KlCnjdezYMcWQ+9TD4DV8vWvXru69VHlUrp9//vm49/JE74OGinfv3t1tL1CggBsm3qhRI+/999/PcBh8Zss9evRo75xzzvHy5MnjXkPvj+JI/TF+qsPgVfa0bNmyxT2mc9EvW8uWLb1Ro0al2O/XX39154/em5IlS3oPPvig9+GHH7rnnjdvXorXSu+W1jQMQLRk0z+RT6sAAEGn5lxNhvnbb7+5YfJAPCEBAgCcNk0nED6STH2A6tat6/otqXkQiDf0AQKAJHWiOYiUsKjvUyRo+RPNN6VRb5qbSKPeNLJPfYGAeEQNEAAkqRPNKaVO91p0NlLNXZoTSaPTVOujDtPq6KwBAEA8IgECgCSlkVoZ0USd4ctfAEFCAgQAAAKHiRABAEDg0Ak6HVqSYOPGjW4W19NZmwkAAGQdNWxpEWo18WrG8fSQAKVDyc+prkkEAABia/369Va+fPl0HycBSodqfvw38FTXJgIAAFlr9+7drgLDv46nhwQoHX6zl5IfEiAAABLLibqv0AkaAAAEDgkQAADpmD17trVv3951qFWNwsSJE1M83qVLF7c9/KYV78Pt2LHDOnXq5FoTihYtat26dbM9e/ZkcSRIjQQIAIB07N2712rXrm0jRoxIdx8lPJs2bQrd3nnnnRSPK/lZtmyZTZs2zSZNmuSSqjvvvDMLSo+M0AcIAIB0tGnTxt0ykidPHitTpkyaj/300082ZcoUW7hwoTVo0MBte/HFF61t27b27LPPupolxEb2RKtu9E+oq666yi3iV6BAAbvwwgtt3bp1KVYh7t69uxUvXtwKFixo1157rW3ZsiWLIwEABMGsWbOsVKlSVq1aNbvnnnvs999/Dz02d+5c1+zlJz/SqlUrNz/N/PnzY1RixGUCdKLqxlWrVlnTpk2tevXq7qRbunSp9evXz/LmzRvap2fPnvbZZ5/ZhAkT7KuvvnJz+milYgAAIknNX+PHj7fp06fb008/7a45qjHSgrCyefNmlxyFy5kzp51xxhnuMcROzkSrbnz00Udd1eEzzzwT2la1atXQ/3ft2mWjR4+2t99+21q0aOG2jR071s477zybN2+eXXTRRVGOAAAQFDfeeGPo/zVr1rRatWq5a5K+oLds2TKmZUOCJUAnWp5i8uTJ9vDDD1vr1q3tu+++sypVqljfvn2tQ4cObp9FixbZ4cOHXRWjT7VFFStWdFWR6SVABw8edLfwiZREz6WbqMoyR44cLrNXWXz+9iNHjrgpuH3apsfS2+4/b/i3AtH+mdmeK1cuVw7/m4ao2VD7p7c9vbITEzEREzERU8Yx+eXxY0grJk3AV6JECVuxYoU1a9bMSpYsaVu3bnX7+DGpm4ZGhmk/bec4ZYt4TEmXAOkk0tDBIUOG2KBBg1x1ozqXqXlr5syZdumll7oqxdy5c7s213ClS5fOsLpx8ODBNnDgwOO2T5061fLnz+/+rySqbt26rtktvM+R2n2VZC1YsMC2bdsW2l6nTh2rVKmS69ekdUl8jRs3dlWieu7wA9W8eXPLly+fff755ynKoBqv/fv3uxh9OlnatWtn27dvd4mdTzNfquZLM1gvWbIktF1/hE2aNHF/lMuXLw9tJyZiIiZiIqbMxeR/ydbFPb2YVDb1AdJ2xaQv1jt37rQXXnjB7rvvPhfTsGHD3AVd1zP9LsepZERj+uabbywzsnnh6VOcUVb48ccfh2p31JfnzDPPtJtuusk1cfnUIVqdoTX0UNu7du2aojZHGjZs6A6gkqbM1gApk9cB9GeCJsMmJmIiJmIKVkxKUlavXu0e08V46NCh7su2+vDowv3kk0/a1Vdf7b5k//rrr65FQr+ji7aeSzSwRwNxRo4c6eLXNap+/fr2xhtvcJws8jGpdk2DoNQlJqOVHBKqBkjVhXqTatSokWK7+vd8/fXX7v8ainjo0CGXcYfXAunkS2+Yoj+MUbfUdBD9bD/8TfZP7LROhMxuT/28p7JdBzut1W7T255e2YmJmE52OzERUxBi+v77792XZ1/v3r3dz86dO9srr7ziEp3XX3/dXXM0evmKK65wSVH4wBx9Mb/33ntDo780Mlk1QuGxcZws6jEdt58lEDVtach7eBWZ/PLLL6HqSWXVOhDqka+TTLS/qs9UtQcAQGZddtllKWoZUvviiy9O+ByqLQpvtUB8iLsESFWHK1euDN1X1aPaCnUCqT1Q2fcNN9zgOpcpK1cfIA15V4970dxAmma8V69e7ndU/dWjRw+X/DACDAAAxGUfICUy4dWNPlU3jhs3zv1/zJgxrtPyb7/95jpDqfOy2mB96mH/4IMPuj5B6tejEWMvv/xyhk1gqakPkJKpE7UhAgCA+JHZ63fcJUDxggQIAIDkvX7H3UzQAAAA0UYCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDg5Ix1AQAAiCeVH5kck9ddM6RdTF43qKgBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQMhys2fPtvbt21u5cuUsW7ZsNnHixBSPP/7441a9enUrUKCAFStWzFq1amXz589PsU/lypXd74bfhgwZksWRAAASFQkQstzevXutdu3aNmLEiDQfP/fcc+2ll16yH374wb7++muX7FxxxRW2bdu2FPs98cQTtmnTptCtR48eWRQBACDRMQ8QslybNm3cLT0333xzivvDhg2z0aNH29KlS61ly5ah7YUKFbIyZcpEtawAgOREDRDi2qFDh2zUqFFWpEgRV2sUTk1exYsXt7p169rQoUPtyJEjMSsnACCxUAOEuDRp0iS78cYbbd++fVa2bFmbNm2alShRIvT4fffdZ/Xq1bMzzjjD5syZY3379nXNYKotAgDgREiAEJeaN29uS5Ysse3bt9trr71m119/vesIXapUKfd4r169QvvWqlXLcufObXfddZcNHjzY8uTJE8OSAwASAU1giEsaAXb22WfbRRdd5Pr/5MyZ0/1MT6NGjVwT2Jo1a7K0nACAxEQChIRw7NgxO3jwYLqPq7Yoe/bsoRoiAAAyQhMYstyePXts5cqVofurV692CYz686hT81NPPWVXXXWV6/ujJjANl9+wYYNdd911bv+5c+e65jA1k2kkmO737NnTbrnlFjdvEAAAJ0IChCz37bffuuTF5/fn6dy5s40cOdJ+/vlne/31113yo4TowgsvtP/85z92/vnnu/3Ux+fdd991EyaqVqhKlSouAQrvFwQAQEZIgJDlLrvsMvM8L93HP/roowx/X6O/5s2bF4WSIVIzfWtagkWLFrmReR9//LF16NAh9LgSVyWw69evd53X69ev72r91I/Lp/uTJ092NYPaZ+fOnTGKBkCyog8QgLib6VvzP6nJ85577snCkgMIEmqAAMTdTN8DBw50P8eNGxfl0gIIKmqAAMTlTN8AEE3UAAGIu5m+ASDaqAGKk06j7du3t3Llylm2bNls4sSJoccOHz5sffr0sZo1a7rJAbXPbbfdZhs3bkzxHIsXL7bLL7/cihYt6kZO3XnnnW64ORDPM31rGZMrr7zSzfS9devWWBcLQICQAMV5p1F9Q1Zy069fP/dTI6SWL1/u5snxKRlq1aqVmzlZ8+NMmTLFli1bZl26dMniSIDozPQNAJFGE1icdxpV3wg1D4TTCJqGDRvaunXrrGLFiq45IVeuXC6B0mzIovl0tEaWJhzUhQZI5Jm+ASDSSIAS0K5du1xTmZq7RBcOzZXiJz+SL18+91PDjEmAkEgzfYuS+x07drifR48edb8vOpcLFiwYk7gAJBeawBLMgQMHXJ+gm266yQoXLuy2tWjRwjZv3uwmn9Oomj/++MMeeeQR95gmogOyeqbvunXruptohm79v3///pYjRw430/e1117r5gNS37fff/89xUzfon31OwMGDHAJlf98em4AiARqgBKIOkSrs6hmUX7llVdC23Xh0NIRutD07dvXXWTuu+8+K126dIpaISARZvr25/9hDiAA0cTVMcGSn7Vr17o+QX7tT/jkcqoFUlOCvlFruQHNrHvWWWfFrMwAAMQraoASKPlZsWKFzZw50/WjSI9qfWTMmDGWN29eNzQeAACkRAIU551G1VG0Y8eObgi8RnupQ6hqekSPq/OzPzKsSZMmroOoaoh69+5tQ4YMCXWUBgAA/z8SoDigjp2aGM6nvjzSuXNn15T16aefuvt16tRJ8XuqDVJ/C1mwYEGow2j16tXt1VdftVtvvTVL4wAAIFGQACVAp9GMHvONHz8+wqUCACB50QkaAAAEDgkQAAAIHJrAEHWVH5kcs9deM6RdzF4bABC/qAECgNMwe/ZsN6N1uXLl3BI1EydOTDGFhWZur1mzplsAVvvcdtttbgHjcFoaROv6aeoKjfzUAIbU+wCILBIgADgNe/futdq1a7s1zVLbt2+fm8KiX79+7qdmwV6+fLlLeMJpFOj777/vHvvwww9t1apVbvoLANFDExgAnIY2bdq4W1qKFCni5uUKpzm7GjZs6BZ6Va2P9OzZM/R4pUqV3Fp+HTp0cDVIuXLlinIEQDBRAwQAWWjXrl2uqSy9SUp37Nhhb731lpvYlOQHiB4SIADIIgcOHHB9gm666abj1vPTdvUT0lI3qh365JNPYlZOIAhIgAAgC9f008Smr7zyynGPa/ma7777zqZOnWo5cuRwnaUzMwkqgFNDHyAAyKLkZ+3atTZjxozjan+kRIkS7nbuuefaeeedZxUqVLB58+ZZ48aNY1JmINmRAAFAFiQ/K1ascOv3qYnrRI4dO+Z+Hjx4MAtKCAQTCRCAhJ3sMh4mutQCxCtXrgzdX716tS1ZssTOOOMMN6ePhrNrCPykSZPs6NGjtnnzZrefHs+dO7fNnz/fFi5caE2bNrVixYq5IfAaNl+1alVqf4Aoog8QAJyGb7/91urWretu0qtXL/f//v3724YNG+zTTz+13377zerUqeMSIv82Z84ct3/+/Pnd/EAtW7a0atWqWbdu3axWrVr21VdfWZ48eWIcHZC8qAECgNNw2WWXZdhZ+UQdmTVLtPoFAcha1AABAIDAIQECAACBQxNYDAS5wygAAPGAGiAghquFizrAXnHFFW54tB7XCKJwa9ascdvTuk2YMCGLowGA5EACBMRwtXD/cQ2Bfvrpp9N8XBPibdq0KcVt4MCBVrBgwXQX4QQAZIwmMCCGq4XLrbfeGqrpSYuWRShTpkyKbR9//LGbXE9JEADg5FEDBCSYRYsWuWYyzRcDADg1JEBAghk9erRbK6pJkyaxLgoAJCwSICCB7N+/395++21qfwDgNJEAAQnkgw8+sH379tltt90W66IAQEIjAQISrPnrqquuspIlS8a6KACQ0BgFBsRwtfCKFSvajh07bN26dbZx40b3+PLly91PjfwKH/2l59CcQp9//nkMogCA5EINEBDD1cJFq4Xrfrt2/5up+8Ybb3T3R44cmeJ5xowZY+XLl3eTJgIATg81QECMVwvv0qWLu53IP//5T3cDAJw+aoAAAEDgUAMEACeJBY2BxEcNEAAACBwSIAAAEDhxlwBpmG/79u2tXLlyli1bNps4cWLoscOHD1ufPn2sZs2aVqBAAbePJoTzhw/7NKy4U6dOVrhwYStatKibNVdDkQEAAOIyAdq7d6/Vrl3bRowYcdxjmgF38eLF1q9fP/fzo48+cnOmaGK4cEp+li1bZtOmTbNJkya5pOrOO+/MwigAAEhMszOoiBBdezUdR/Hixd3jmtcstQMHDlj37t3dPgULFrRrr73WtmzZYvEk7jpBt2nTxt3SUqRIEZfUhHvppZesYcOGbiI5TSr3008/2ZQpU2zhwoXWoEEDt8+LL75obdu2tWeffdYdUAAAkHFFxO23327XXHNNmo83bdrUrr/+ervjjjvSfI6ePXva5MmTbcKECe7afe+997rn+uabbyxexF0CdLJ27drlMlA1dcncuXPd//3kR1q1amXZs2e3+fPn21//+tc0n+fgwYPu5tu9e3eo2U030XPkyJHDjh49aseOHQvt628/cuRIivletE2Ppd4eS+mV/XRj8rf775UvZ87YnmLh5Yl0TNo/M9tz5crl3lu9xz6ds9o/ve2xOk6nE1MsKI5YHKdY8Y8l5150Y4qV8PcmlsepTZs27rrpC99H/9dkrbJmzRr3U4+Fl13XZS3b8+abb9oll1zito0aNcpq1apl8+bNc5UW0Y4p6RMgVbGpT9BNN93k+vvI5s2brVSpUin20xurZQf0WHoGDx5sAwcOPG771KlTLX/+/O7/qmHSDL1Lly51NU6+atWqWfXq1W3BggW2bdu20PY6depYpUqVXHXin3/+GV4ii5UVK1aEllqIZEyNGzd277ver/CTr3nz5hZL4ctGRDKmfPnyHbckhWoZtVr7zJkzU5x7muF5+/btLjn3FSpUyFq0aGHr169PUX2sNb6aNGkSk+N0ejHF5pxWeWNxnGIVr44l5170Y4qV8Pcgno7TokWLXJNX6uPkN2mpRih8u7qgKCFSecK363l13MqWLRvVmDJby5TNi5eqiTQoK/z444+tQ4cOxz2mN1dtir/99pvNmjUrlABpptzXX389xZvov/FKcO65555M1wBVqFDB/aH5zx2pDPucflMtVnOIxOLbXZW+sVu7asWTVwTiG2usY4rVOa3jG4vjFKt4Vw9u635y7kU3pljN8xT+eRUvxyl37tyuGUvX29THQzVA5557ruuTe8EFF4S2v/POO65pTAlseNmV5CipU4VDNGPSQCj1PVJNlH/9TpoaIB0YtT2uXbvWZsyYkSJALR65devWFPvrTdIbEr6wZGp58uRxt9T0x6ZbOL3JaVWTptfcE+tmoMyUPVIxpX6vYi2t8kQqppPZrj9K3TK7PVbHKRIxZaXwcsXiOGU1XSiEcy+6McXKycSalccpZ86caZ57/v/1WOr90yq7/xyxiim12P9Fn2Lyo6qyL7/80mV54VR9t3PnTldl51OSpOyxUaNGMSgxAADBUaZMGTt06JC7FodTk1lGFRFZLe4SIM3Xo7ZBv31w9erV7v9q/1Py07FjR7e69ltvveWqxdSvRze92XLeeefZlVde6arf1D6otkD1PlenLUaAAQAQXfXr13c1QtOnTw9tU7cUXcdVSREv4qdt5v8ouQnvONurVy/3s3Pnzvb444/bp59+GursFE4d5bTqtig5UtLTsmVLV82mtssXXnghS+MAACAR7dmzx1auXBm671dEaDCROiarS4mSGX8SYr/PrWp3dNOwd01ArOu3fkfdVHr06OGSn4suusjiRdwlQEpiMuqXnZk+23rD33777QiXDMg8FssEkKi+zaAiYty4ca4iomvXrqHH/WHxAwYMcBUV8vzzz4cqIDTAqHXr1vbyyy9bPIm7BAgAAMRvRUSXLl3cLSN58+Z1KzqktapDvIi7PkAAAADRRgIEAIjYOlGqOejfv7+b7E4T52lGYY3aDVe5cmX3u+G3IUOGZHEkCDoSIABARBaslmeeecYNOhk5cqRbfqhAgQKu/4dm7g/3xBNP2KZNm0I3dZIFshJ9gAAAEVmwWrU/w4cPt8cee8yuvvpqt238+PFWunRpV1Pkd5b1l3qIpzlhEDzUAAEAIkLDpTUvW/hCmhoSrUlow9fuEjV5aSJbrfU0dOjQTC9gCUQKNUAAgIjwF5xWjU843Q9fjPq+++6zevXquSlL5syZY3379nXNYMOGDcvyMiO4SIAAAFnKn1dGatWq5RbcvOuuu9wimWmtyQhEA01gAICI8Pv0aM2nk1kDSk1kagLT6uJAViEBAgBERJUqVVyiE74G1O7du91osIzWgNIyC5o1uFSpUllUUoAmMABABNeJeuCBB2zQoEF2zjnnuISoX79+bs6gDh06uP3VGVoJkZZa0Egw3e/Zs6fdcsstVqxYsRhGhqAhAQIARGydqIcfftjNFXTnnXfazp07rWnTpjZlyhS3NIKoj8+7777r1ozSGlFKkpQAhfcLArICCRAAIGLrRGlWZ01yqFtaNPpr3rx5USwhkDn0AQIAAIFDAgQAAAKHJjAAAAKs8iOTY/K6a4a0s1iiBggAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHJbCAABkKKhLJSC5UQMEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBc8oJ0OzZs23dunUZ7rN+/Xq3HwAAQFIkQM2bN7dx48ZluM/48ePdfgAAAEmRAHmed8J9jh07ZtmyZTvVlwAAAEi8PkArVqywIkWKRPMlAAAATlrOk9n59ttvT3F/4sSJtmbNmuP2O3r0aKj/T5s2bU6+VAAAAPGSAIX3+VHT1pIlS9wtLXr8wgsvtOeff/70SwkAABCrBGj16tWh/j9nnXWWPfDAA3b//fcft1+OHDmsWLFiVqBAgciVFAAAIBYJUKVKlUL/Hzt2rNWtWzfFNgAAgKRLgMJ17tw5siUBAACI9wTIt2DBAlu4cKHt3LnTdX5Oqy9Qv379TvdlAAAAYp8A7dixwzp06GDffPNNhnMCkQABAICkSYB69eplX3/9tV122WWuOax8+fKWM+dpVygBAABE3SlnLJMmTbKGDRva9OnTme0ZAAAEYybo/fv3W7NmzUh+AABAcBKgOnXqpDkLNAAAQNImQAMGDLBPP/3U5s2bF9kSAQAAxGsfoM2bN1u7du3s0ksvtU6dOlm9evWscOHCae572223nU4ZAQAA4iMB6tKli+v/oyHwWiNMt9T9gfSYtpEAAQCApEiAtBQGAABAImIpDAAAEDin3AkaAAAgcDVA69aty/S+FStWPNWXAQAAiJ8EqHLlypmaBFH7HDly5FRfBgAAIH4SII3sSisB2rVrl33//fe2evVqN0ReiRIAAEBSJEAa9p4eDX9/7rnn7JlnnrHRo0ef6ksAAAAkTido1Qw99NBDdv7551vv3r2j8RIAAADxOQqsQYMGNmPGjGi+BAAAQHwlQKtWrYp4B+ijR49av379rEqVKpYvXz6rWrWqPfnkk67Zzaf/9+/f38qWLev2adWqla1YsSKi5QAAAIkr4gnQsWPHbP369S4p+eSTT6xx48YRff6nn37aXnnlFXvppZfsp59+cvfV1+jFF18M7aP7L7zwgo0cOdLmz59vBQoUsNatW9uBAwciWhYAABCwTtDZs2fPcBi8amGKFSvmOkNH0pw5c+zqq692C7GKRpm98847tmDBgtDrDh8+3B577DG3n4wfP95Kly5tEydOtBtvvDGi5QEAAAFKgJo1a5ZmAqTESInPhRdeaF27drVSpUpZJDVp0sRGjRplv/zyi5177rluyP3XX39tw4YNc49r+L1Wqlezl69IkSLWqFEjmzt3broJ0MGDB93Nt3v3bvfz8OHD7ubHliNHDtcMp5qu8Ji1Xc194U1x2qbHUm+PpfTKfrox+dv998qXM+cpn2IREV6eSMeUunk3ve1ZyS9rtGPKlSuXO1903sSS4ohmTPqM0/7xEKv4xzIaMfnb0/osiGW80Yopo8+9WAk/hyMdU0afe7GON1YxnfLVadasWRYLjzzyiEtOqlevHnpjnnrqKevUqZN7XMmPqMYnnO77j6Vl8ODBNnDgwOO2T5061fLnzx+a0bpu3bq2dOnSFDNhV6tWzZVHtVDbtm0Lba9Tp45VqlTJZs+ebX/++WfYs8YuKVBfqOXLl4fuRyomNXUq2dX7FX7yNW/e3GLp888/j0pM6lsW/tzStm1b279/v82cOTNmx9gvU3Ri+h99UKkGdvv27e5Lxf9ttVhQeaMXk1mhQoWsRYsWrll/yZIlYc8Sm3h1LKMVU8mSJd0XzLQ+I2JF8UYrpow+92Il/LhGOqaMPvdiHW+kY/rmm28y9frZvHipmsikd9991w2tHzp0qBtmrxPjgQcecDVAWqBVTWQXX3yxbdy40XWC9l1//fUuy3zvvfcyXQNUoUIF94dWuHDhiNaWnNNvqsXCmiHtYlIDVKVvyg/rrLTiyStiUgMUq2Psx5vVNUCxjDcWNUCxinf14LYxqQGq+ugUi1W8sagBqvzIZIv151VW1gCd/dgXFst4Ix3Tjh07rHjx4m5iZv/6nZaIfI1RtqVEREmDXkxZmJKQaFDyo1ogvymrZs2atnbtWleDowSoTJkybvuWLVtSJEC6r3KlJ0+ePO6Wmv7YdAunNzmtatL0mnti3QyUmbJHKqbU71WspVWeSMV0stuzQurXjmZM+qCJZfNI6nJFM6Z4iFX8bgfRjCm9z4JYxRvNmOIpVjmZWKP9WZ4VMnttjVZMpxW5alvUz2flypXuvjIx/w/0nHPOsbFjx0Z8FNi+ffuOOxn0xvjZoYbHKwmaPn16KOFRYqbRYPfcc09EywIAABLTKSdAy5YtsyuuuMIlJJdffrlrb1eNi/rZqM1W7fEaej5v3jyrUaNGxArcvn171+dHbYNqAvvuu+9c89ftt9/uHlcCpiaxQYMGuSRMCZHmDSpXrpx16NAhYuUAAAABTICeeOIJO3TokOvEdOWVV6Z4rE+fPjZlyhS76qqr3H7qtxMpmu9HCc3f//5327p1q0ts7rrrLjfxoe/hhx+2vXv32p133mk7d+60pk2buvLkzZs3YuUAAACJ67RGgXXs2PG45Men7XpcTVGRpJ7xmudHt/SoFkiJl24AAACpnXKvPvWuVvNSRvS49gMAAEiKBEhNT+rfkxF1PNZ+AAAASZEAqX+PmsHUHyf1Glu6P2DAANcZ2l+OAgAAIOH7ACnxmTRpkv3zn/+0V1991Ro2bOhmW9Z8OwsXLnSzM5511lluPwAAgKRIgDTLoprANOJKo7zCp/DWaCvND6SV2s8444xIlRUAACAiTmsixBIlStiYMWNcDdDPP/8cmglaa3TE24zAAAAAp5wAaRJCzbGjhUP9JEc/tSSFT/MDPfroo27IupatAAAASNhO0F9++aWbcFDNXxnV8OTOndvtoyQofCVfAACAhEuAxo8fb8WKFbN77733hPt2797d9f/RemAAAAAJmwBp8dNWrVqluWp6atpH+2qleAAAgIRNgDZu3OiGtmeWZoLetGnTqZQLAAAgPhKg7Nmz2+HDhzO9v/bV7wAAAMSTk8pOtKzFjz/+mOn9te+ZZ555KuUCAACIjwTokksusRkzZtiaNWtOuK/20b7NmjU7nfIBAADENgHSyC41a3Xs2NG2b9+e7n6///67XXfddXbkyBG75557IlFOAACA2EyEWK9ePXvggQds+PDhVqNGDbv77rutefPmVr58eff4hg0bbPr06TZq1Ci3FlivXr3c7wAAACT0TNDPPfecW+tr6NChblZo3cJ5nmc5cuSwvn372qBBgyJZVgAAgNgkQNmyZXMrwHfr1s1Ncqi5gTZv3uweK1OmjF188cXWpUsXq1q1amRKCAAAEC+LoSrBoYYHAAAkIibpAQAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAichE+AhgwZYtmyZbMHHnggtO3AgQPWvXt3K168uBUsWNCuvfZa27JlS0zLCQAA4kdCJ0ALFy60V1991WrVqpVie8+ePe2zzz6zCRMm2FdffWUbN260a665JmblBAAA8SVhE6A9e/ZYp06d7LXXXrNixYqFtu/atctGjx5tw4YNsxYtWlj9+vVt7NixNmfOHJs3b15MywwAAOJDTktQauJq166dtWrVygYNGhTavmjRIjt8+LDb7qtevbpVrFjR5s6daxdddFGaz3fw4EF38+3evdv91HPpJtmzZ7ccOXLY0aNH7dixY6F9/e1Hjhwxz/NC27VNj6XeHkvplf10Y/K3+++VL2fO2J5i4eWJdEzaPzPbs5Jf1mjHlCtXLne+6LyJJcURzZjUvK794yFW8Y9lNGLyt6f1WRDLeKMVU0afe7ESfg5HOqaMPvdiHW+sYkrIBOjdd9+1xYsXuyaw1DZv3my5c+e2okWLptheunRp91h6Bg8ebAMHDjxu+9SpUy1//vzu/0qi6tata0uXLrV169aF9qlWrZpLshYsWGDbtm0Lba9Tp45VqlTJZs+ebX/++WdcvO0rVqyw5cuXh+5HKqbGjRtbqVKl3PsVfvI1b97cYunzzz+PSkz58uVL8dzStm1b279/v82cOTNmx9gvU3Ri+h99UOnLx/bt292Xiv/barGg8kYvJrNChQq5muT169fbkiVLwp4lNvHqWEYrppIlS1qTJk3S/IyIFcUbrZgy+tyLlfDjGumYMvrci3W8kY7pm2++ydTrZ/PipWoik3QyNGjQwKZNmxbq+3PZZZe5wIcPH25vv/22de3aNUVtjjRs2NB9ID799NOZrgGqUKGC+0MrXLhwRGtLzuk31WJhzZB2MakBqtI35Yd1Vlrx5BUxqQGK1TH2483qGqBYxhuLGqBYxbt6cNuY1ABVfXSKxSreWNQAVX5kssX68yora4DOfuwLi2W8kY5px44dbhCUusT41++kqAFSE9fWrVutXr16oW16c5TFvvTSS/bFF1/YoUOHbOfOnSlqgTQKrEyZMuk+b548edwtNf2x6RZOb3Ja1aTpNffEuhkoM2WPVEyp36tYS6s8kYrpZLdnhdSvHc2Y9EETy+aR1OWKZkzxEKt/oYh2TOl9FsQq3mjGFE+xysnEGu3P8qyQ2WtrtGKKnytzJrVs2dJ++OGHFNtU46PqsD59+rhaG72p06dPd8PfRVVqqj5TVTkAAEDCJUBqF73gggtSbCtQoICr7vK3d+vWzXr16mVnnHGGq/7q0aOHS37S6wANAACCJeESoMx4/vnnXZWhaoDUr6d169b28ssvx7pYAAAgTiRFAjRr1qwU9/PmzWsjRoxwNwAAgNRi36sPAAAgi5EAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACBwSIAAAEDgkQAAAIHBIgAAAQOCQAAEAgMAhAQIAAIFDAgQAAAKHBAgAAAQOCRAAAAgcEiAAABA4JEAAACBwSIAAAEDgkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAAQCAwCEBAgAAgUMCBAAAAocECAAABA4JEAAACJykToBGjBhhlStXtrx581qjRo1swYIFsS4SAACIA0mbAL333nvWq1cvGzBggC1evNhq165trVu3tq1bt8a6aAAAIMaSNgEaNmyY3XHHHda1a1erUaOGjRw50vLnz29jxoyJddEAAECM5bQkdOjQIVu0aJH17ds3tC179uzWqlUrmzt3bpq/c/DgQXfz7dq1y/3csWOHHT58OPQcOXLksKNHj9qxY8dSPLe2HzlyxDzPC23XNj2Wevuxg/ssFnbv3p1u2U83Jn+7/175cubMGbN45ffff49KTKL909seq5j9eKMRU7hcuXK580XnjcQy3mjFJNmyZfvfOZxqe6zi9T+XohGTvz2tz4JYxhutmDL63Iv13280Ysroc+9YjOONdEy6bkv4Y2nyktCGDRsUtTdnzpwU23v37u01bNgwzd8ZMGCA+x1u3Lhx48aNmyX8bf369RnmCklZA3QqVFukPkM+ZZvKIosXL+6y03igGpwKFSrY+vXrrXDhwpbsghZvEGMm3uRGvMltd5zGq5qfP//808qVK5fhfkmZAJUoUcJVhW3ZsiXFdt0vU6ZMmr+TJ08edwtXtGhRi0c60eLpZIu2oMUbxJiJN7kRb3IrHIfxFilSJJidoHPnzm3169e36dOnp6jR0f3GjRvHtGwAACD2krIGSNSc1blzZ2vQoIE1bNjQhg8fbnv37nWjwgAAQLAlbQJ0ww032LZt26x///62efNmq1Onjk2ZMsVKly5tiUpNdJrXKHVTXbIKWrxBjJl4kxvxJrc8CR5vNvWEjnUhAAAAslJS9gECAADICAkQAAAIHBIgAAAQOCRAAAAgcEiAAABA4JAAJTAG8CU3ji8ARA8JUAKLlzXKEB0c3+QWvro1kvv48mUmPjEPUII5fPiw/fe//7XJkye7tVfq1q1rlStXdhM85syZ0/3RZc+efHnt0aNHXUKQjLGF27dvn82bN88mTJhgZ5xxhp133nl29tln27nnnuvuJ6ugHF8Ey6FDh9zSTIhPJEAJ5qGHHrJ33nnHSpUqZX/88YetW7fOqlSpYjfffLPdd999VrJkSUsmS5cutVq1ah13sdSFMhlrSP72t7/ZtGnTXFL7+++/u+OrBXybNWtmf//7361evXqWTObPn2+NGjVKse3IkSPu+CZrMrRx40b3N6zYzznnHDv//PNdoqv/FyxY0NUWJOO5HZQkd+XKlfbiiy/ad999545p1apV7YILLnBLMqW3GHcyOHbsmDu+CXXuKgFCYli2bJlXqFAhb/Lkyd7GjRu9o0ePemvWrPH69+/vnXnmmV6RIkW8N954w0sWK1as8HLmzOldfPHFLsYffvjhuH0OHTrkzZ8/3zt48KCXDMe3YMGC3tdff+3t27fPbduxY4f3wgsveOeff76XPXt275lnnnHH/dixY16i+/nnn71s2bK5c7dbt27evHnzUjyuGHVcP/30U2/z5s1eMli9erV34YUXelWrVvU6duzoVatWzStWrJhXs2ZNr0+fPt62bdu8ZLJ9+3Zvzpw5xx3XI0eOJMU5nNqqVau88847z2vYsKF33333eS1btnTHtl69el6XLl28BQsWeMlky5Yt7u9TxzOcPqNSf07HIxKgBDJo0CCvWbNmofvhJ92ePXu8+++/3/2xbd261UsGjz/+uFexYkXv7rvv9po0aeIuFq1bt/Zeeuklb8OGDW6f9evXu4uofia65557zmvatGnofuqkbujQoV6VKlW8X3/91UsGTz75pEvslNwqbiXw5557rtevXz+XKMimTZvc8V23bp2XDO666y6vXbt2Kc5XxTpgwACvZMmSXtmyZb0vvvjCSxZKAnT8dFx79+7tkt7UF8q1a9d677///nEX0USkz6r27dt7f/zxR2ibPqtefvllr27dul7hwoW9N99800sW3bt3d8e3RIkSXufOnb1vvvkmxeNKcnV+67PrwIEDXryhCSyBfPTRR/boo4/aF198YRUrVgw1F6jqUe3MK1assI4dO9o999xjd999tyU6Neupb1Pv3r1tw4YNrslAt2XLltnBgwdd/6e9e/faL7/84rYluunTp7smsDfeeMOaNm0aOr7q95UvXz7bsmWLdejQwa666irr27evJTo16anfWr9+/dzx/P77723GjBk2depUW7t2rWv6zJ8/vzv2yXB85eKLL7Zrr73WevXq5Y6rmgv0Hoj+jq+55hq37eOPP06KprD69eu7hajVZK/PLTUPqVnolltusS5dulixYsXsiSeesHHjxtmvv/5qie7KK6+0Jk2auEW41eQnOXLkCD2uz2ady2rm1md2oh/fiy66yJ3TarJ/7733XP/FM888031233HHHXbWWWfZwIED3Weajn3ciXUGhpOrTq5evbpXo0YN74MPPkgzo65Vq5b36quveonu8OHD7pvS4MGDU2xXU8i0adO8f/7zn16HDh3ct4/XXnvNSwZq9mrVqpVXrlw5b9SoUaFmsHC1a9f2RowY4SU6fdtXU27qWFST+dNPP3nvvPOO+0ap4zt69GgvWai2q0GDBin+dtU84B/r6dOne2effXZSNJWoeV41tuPHj3e1mb/88os3YcIE74477nBNgKoN0ePFixf3hg0b5iUDxaFaWjWF+RS7f7yXLFniHv/qq6+8RPfbb7+5Zlz/83f37t3et99+6z322GPuOqW/XTX9qdvG888/78UjEqAEo+rUG264wSU6bdu2dVXns2bNctWMvXr1ch8muogkm7TakHWR1B/Z3r17vWShC2HPnj3dh6Sah26//XZv4sSJ7hjfeuutLjlKxuObus+AfPbZZ0l3fBcuXOiVKVPGJUGKL7Xly5d7efLkSYqYd+3a5Y0bN86du+F27tzpEgEltpdccomXI0eONJP9RKTEp06dOt5ZZ53lYk/txx9/9HLlypUUx3fv3r2u/0/qvnv6W9aXdSXzf/nLX+L6+NIEloC2bt1qn3/+uX355ZeuqWD58uW2fft2u+yyy1wTiqofE116w/nDRwipaWzhwoU2a9YsSwZ+zH/++ad9/fXX7qb4vv32Wxd3q1atrFu3btauXTtLdP/35SvDEUGqOp8zZ45rOkkmagro06ePO67Fixd3TQht27Z1f8caHVahQgX74IMPLJnoWKtJyG/u891www3u82zmzJmWLPT3+8gjj9i7777r/m4vv/xy1zT2448/us+qmjVruiahZOOl0WR76623umvU7NmzLR6RACUI9f9YvXq15cmTx/UHUduqLh6rVq1yc8cUKFDASpQokTRzxfjxqp1cp6jamHWx8GnbJ5984tqbL7zwQkvGhE9ziGzbts0d7wMHDliRIkXccU4GmZmvShcLTeugYeLJRn3X1OdLfZ6U5P7www/u/FaCq/4xOt+Tkf5u/WO/f/9+u/TSS12yoH5RycCPTX+vOqa68OsYL1q0yH1md+rUyfXzKlu2rCX7sPf9+/fb1Vdf7fo9/fWvf7V4RAKUAF577TUbO3asLV682H2Dqlatmps3pGXLlq5DbHhikIzx1qhRw6pXr+6+Kav2o3z58pas/G/K6jiZ6B0kI1UTlCxUa6u5u3R8VcujeWGU0OoLjI63ag70JSbZ4lUtiBJZzfcU/lmlju+qxU6GGs30hM9ZtmvXLvclJigOHz7sajkbN25s8YoEKM5pMjyNmujevbvrVb979273waJvjxr1pQm2/vWvf7nJEJNh1EhG8arpQNXHzz//vItXH6ypq9QTjS4QmtxQ34C7du2aorYjfOK4n376ySV+hQoVsmSNN/wbpeLVt+SiRYtaolNio1GZGvmjc1ZxKfFRMnDFFVfYddddF0rqk2Em99TxlitXzk3wqHjVTH/99ddbpUqVLFkoxh07driRbkFwJJnijXEfJJzAv/71L69Ro0ZpPjZjxgw3qZpGhYXPO5HIghivOvqqU7t+ahI1TXYYPvGf5oxRx8rwkSWJKmjx+vN3aX6u2bNnu/ua0HPkyJFep06d3Ptw3XXXuY7BySKjeDWK8frrr0+qeDXCqWjRot69997rYk6rg7M6hH/++edxOyFgNOKdNGlS3E9QSwIU5zSBlkYDaWiw7N+/P8VJpe2aZEwTiSWDoMWrGZDvvPNONxmcJhHr0aOHV6FCBTfr86WXXupGug0fPtzLnz+/lwyCFq9oJnPFlJpGy2jSQ032qSkdkkXQ4tWsz5qoVV/OdB5rCLhG5yrx8yd31Odael/sEk3DJIo3setaA0DV46oS19oy6liXN29e1zHYX2lYfWNUtaye9skgSPGqD4SagNThVRNbagI1Ne9psscPP/zQrRvUo0cP69mzpxs1lOiCFq/fD0Ixa2JDNe/6TQh+3xA1gY0YMcI172qUUKILWrwapKDPJ3X0XbBggYtJHX41saMmgFQn75EjR9rLL7983Jp3iWhbssUb6wwM6fPXfPrwww+98uXLu4nDNInY4sWL3eNaD+ztt99260f5SwcksqDFK5ogzV/WI631c1RtrqYiTTqWDIIWr8ydO9dNbqgJ4jQ/Smpq8itQoEDSxBykePWZpMkPUy9fopoQNQ9p/S8t8ZIsy/VsTLJ46QSdIN+cNdz9q6++ckO/NT+MOopqCLi+cWlopaaTTxZBi3fTpk3uW1Vao/mefPJJNyIuGZYJCGK8+nhVDYhi+sc//uFqQtQJ+KabbnIdgZcsWWKffvqpGzKtETOJLmjx+sO9RdNVpDUQ5aGHHnJD4TWqNRnsT6J4SYDilCY21NoqQ4cOdRcKze+jdXM0dFZrYGnorC4Sbdq0caOmEn30V1DjffbZZ90Q4cKFC7vRMprWQMOC9eGiZr9///vfbvtf/vIXS2RBizctO3fudE0Fb7/9tksENCRaTbwaFae13bSuUjIJWrxpUTO+moY04jFZmnWTKV4SoDh1++23u8UhdcHXEFK1p6vdXAtD6puUZsnV/DjJIsjxami74tXQ7/Xr17sET4tlxvP8GScraPH635SV2IXTx62279mzx9WC6FxPiL4SmUC8ae/z/vvvuxow1Xomsv1JGC8JUBzSIdEHhea/Uacyf5sSgv/85z/uW7LmYdB0+ZoHKNER7/+2qdlP8WoiSE2apg+SZJgFOWjx+h588EE3eadWRFcHb83inta8SKrpTIY5vIg3T5q1YMkwl1XSxhvjPkhIgxbMu+CCC9zCiWnRwnKaP0RDD5MB8aZEvInvrbfech1BtfClFrbVAreax0rzHflzwWiulKuvvtpbunSpl+iI93/xbtmyxTt8+LDbR4sWt2/f3g0PT3RvJWm8JEBxSBeEFi1aeM2aNfN+/fVXNzIqteeee86rX7++lwyIl3iTKV5/vqN77rnHTeaoiQErV67sLiD16tXzBg8e7EY2jhkzxsuZM6eXDIiXeMckYLwkQHFqzpw5bjZcTSr25ptvuuGHupD4Q4k1e+zNN9/sJQviJd5kiVffiJ966imvb9++KbZ///33bhJIDRPWVA76Nt21a1cv0RHv/xBvroSLlwQojqmqWBeGvHnzeiVKlHCzp959992uClKzcOoETCbES7zJQku1/Pzzz+7/msk8da2XkkB9g16yZImXDIiXeLMlYLx0gk4AW7dutUmTJtnEiRNdL3x1BO7YsaNbET4ZES/xJiMN89fHrVZ+V8fv+++/303vkKyIl3jjHQlQgkmG1aJPBvEmt6DF6xs2bJibJLB3794WBMSb3IYlaLwkQACQxTSjub45ByX5I97kdjhB4yUBAgAAgZNY6RoAAEAEkAABAIDAIQECAACBQwIEAAAChwQIAAAEDgkQAAAIHBIgAAAQOCRAAAAgcEiAAACABc3/B+1wjMJJRHrMAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "execution_count": 314, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "plot_histogram(counts_reg2, title=\"Counts for classical_reg2\")" + ] + }, + { + "cell_type": "markdown", + "id": "4eeb76f4", + "metadata": {}, + "source": [ + "everyone state has an approximately $\\frac{1}{8}$ chance $\\rightarrow$ coherence" + ] + }, + { + "cell_type": "code", + "execution_count": 315, + "id": "cde72f6d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1, 0, 0, 0]\n" + ] + } + ], + "source": [ + "def Get_betti_numbers(index):\n", + " list_of_hamiltonians = Get_Hamiltonian(index, verbal=False)\n", + " List_of_betti_numbers = []\n", + " for hamiltonian in list_of_hamiltonians:\n", + " circuitU = make_unitaryCirc(hamiltonian)\n", + "\n", + " number_of_counting_qubits = circuitU.num_qubits\n", + "\n", + " full_qpe_circuit = create_full_qpe_circuit(circuitU)\n", + " job = simulator.run(full_qpe_circuit, shots=1000)\n", + " result = job.result()\n", + " counts = result.get_counts()\n", + " counts_reg1 = {}\n", + " counts_reg2 = {}\n", + " for bitstring, count in counts.items():\n", + " reg2_bits, reg1_bits = bitstring.split() \n", + " counts_reg1[reg1_bits] = counts_reg1.get(reg1_bits, 0) + count\n", + " counts_reg2[reg2_bits] = counts_reg2.get(reg2_bits, 0) + count\n", + " \n", + "\n", + " p_0 = counts_reg1.get('0'*number_of_counting_qubits, 0) / sum(counts_reg1.values())\n", + " Betti = round(2**number_of_counting_qubits * p_0)\n", + " List_of_betti_numbers.append(Betti)\n", + " return List_of_betti_numbers\n", + " \n", + "print(Get_betti_numbers(0))\n" + ] + }, + { + "cell_type": "markdown", + "id": "14d841ec", + "metadata": {}, + "source": [ + "Now we get the all the betti numbers for each of the simplex tree" + ] + }, + { + "cell_type": "code", + "execution_count": 316, + "id": "2fb2dc4c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 1],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " ...]" + ] + }, + "execution_count": 316, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Betti_list = []\n", + "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", + "# numbers of the corresponding Hamiltonians.\n", + "for i in range(len(ListOf_simplex_tree)):\n", + " Betti_list.append(Get_betti_numbers(i))\n", + "\n", + "Betti_list\n" + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "id": "6c7ec0cb", + "metadata": {}, + "outputs": [], + "source": [ + "max_length = max(len(sublist) for sublist in Betti_list)\n", + "betti_numbers_all = np.empty((window_embedding.shape[0],N+1))\n", + "betti_numbers_all = np.array([sublist + [0] * (max_length - len(sublist)) \n", + " for sublist in Betti_list])" + ] + }, + { + "cell_type": "code", + "execution_count": 321, + "id": "f60628a5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(5517, 4)" + ] + }, + "execution_count": 321, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "betti_numbers_all.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 320, + "id": "de2fc7c7", + "metadata": {}, + "outputs": [], + "source": [ + "np.save(\"betti_numbers_alldata.npy\", betti_numbers_all)" ] }, { @@ -530,6 +2898,74 @@ "" ] }, + { + "cell_type": "code", + "execution_count": 317, + "id": "15f72fde", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'qiskit.providers.aer'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[317], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mproviders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maer\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnoise\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m depolarizing_error\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m plot_histogram\n\u001b[1;32m 4\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m3\u001b[39m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'qiskit.providers.aer'" + ] + } + ], + "source": [ + "from qiskit.providers.aer.noise import depolarizing_error\n", + "from qiskit.visualization import plot_histogram\n", + "\n", + "n = 3\n", + "qc = QuantumCircuit(n, n)\n", + "\n", + "# Apply a depolarizing noise channel to simulate a maximally mixed state\n", + "for qubit in range(n):\n", + " qc.append(depolarizing_error(1, 1).to_instruction(), [qubit])\n", + "\n", + "plot_state_city(DensityMatrix(qc), title=\"Maximally Mixed State Density Matrix\")" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "5e562416", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#for the Hadamard state\n", + "def make_hadamard_state(n):\n", + " qc = QuantumCircuit(n)\n", + " qc.h(range(n))\n", + " return qc\n", + "hadamard_state = make_hadamard_state(3)\n", + "plot_state_city(DensityMatrix.from_instruction(hadamard_state), title=\"Hadamard State Density Matrix\")" + ] + }, + { + "cell_type": "markdown", + "id": "f0f90a4b", + "metadata": {}, + "source": [ + "Why should we measure all-zero states?\n" + ] + }, { "cell_type": "markdown", "id": "1cbe5cf2", @@ -560,7 +2996,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 44, "id": "5ef68f98", "metadata": {}, "outputs": [], @@ -583,6 +3019,184 @@ "# write your code here" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f6e8455", + "metadata": {}, + "outputs": [], + "source": [ + "from ripser import ripser\n", + "\n", + "def classical_betti_solver(point_cloud, epsilon, dim):\n", + " '''Return the Betti number on a given point cloud.\n", + " Args:\n", + " point_cloud: the point cloud after applying the sliding window.\n", + " epsilon: resolution threshold.\n", + " dim: the dimension on which the Betti number is calculated\n", + " '''\n", + " result = ripser(point_cloud, maxdim=dim)\n", + " diagrams = result[\"dgms\"]\n", + " return len(\n", + " [interval for interval in diagrams[dim] if interval[0] < epsilon < interval[1]]\n", + " )\n", + "\n", + "# write your code here\n", + "\n", + "\n", + "def lp_norm(a, b, p):\n", + " # return np.dot(a, b)\n", + " # if (a.shape[0] != b.shape[0]):\n", + " # a.append()\n", + " # dot_product = np.dot(a, b)\n", + " # norm_a = np.linalg.norm(a)\n", + " # norm_b = np.linalg.norm(b)\n", + " #return dot_product / (norm_a * norm_b)\n", + " return np.linalg.norm(a - b, ord = p)\n", + "\n", + "max_betti_index = 5\n", + "epsilon = 0.1\n", + "lp_norm_order = 2\n", + "#print(window_embedding[:,:,3].shape)\n", + "betti_numbers = []\n", + "# for i in range(window_embedding.shape[0]):\n", + "# #print(window_embedding[i])\n", + "# for betti_index in range(max_betti_index):\n", + "# solution = classical_betti_solver(window_embedding[i], epsilon, dim=betti_index)\n", + "# #print(i, solution)\n", + "# betti_numbers.append(solution)\n", + "# #print(f\"{i + 9} : B_{betti_index} = {betti_number}\")\n", + "\n", + "\n", + "betti_numbers = np.empty(max_betti_index+1)\n", + "betti_numbers_all = np.empty((window_embedding.shape[0],max_betti_index+1))\n", + "for index in range(window_embedding.shape[0]):\n", + " for betti_index in range(max_betti_index+1):\n", + " betti_numbers_all[index, betti_index] = classical_betti_solver(window_embedding[index], epsilon, dim=betti_index)\n", + " \n", + " #betti_numbers_all[index] = betti_numbers\n", + " #if (betti_numbers_all[index] != betti_numbers_all[index-1]).all():\n", + " #print(index, betti_index, solution)\n", + "\n", + "\n", + "betti_distance = []\n", + "initial = betti_numbers_all[0]\n", + "for i in range(1, betti_numbers_all.shape[0]): \n", + " final = betti_numbers_all[i]\n", + " betti_distance.append(lp_norm(initial, final, lp_norm_order)) \n", + " initial = final\n", + "\n", + "# print(Betti_list)\n", + "\n", + "#betti_numbers_all = np.array(Betti_list)\n", + "betti_distance_quantum = []\n", + "\n", + "max_length = max(len(sublist) for sublist in Betti_list)\n", + "betti_numbers_all = np.empty((window_embedding.shape[0],max_betti_index+1))\n", + "betti_numbers_all = np.array([sublist + [0] * (max_length - len(sublist)) \n", + " for sublist in Betti_list])\n", + "\n", + "\n", + "initial = betti_numbers_all[0]\n", + "for i in range(1, betti_numbers_all.shape[0]): \n", + " final = betti_numbers_all[i]\n", + " betti_distance_quantum.append(lp_norm(initial, final, lp_norm_order)) \n", + " initial = final\n", + "\n", + "#print(betti_numbers_all)\n", + "print(len(betti_distance)) # Print the length of betti_distance" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c423adf", + "metadata": {}, + "outputs": [], + "source": [ + "stock = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[0]).to_numpy().squeeze()) \n", + "#y1 = y1[:2200]\n", + "# #y1 = data['Close'].to_numpy().squeeze()\n", + "#y2 = np.pad(betti_distance, (int((y1.shape[0] - int(len(betti_distance)))/2), int((y1.shape[0] - len(betti_distance)+1)/2)) , mode='constant', constant_values=(0, 0))\n", + "t = np.arange(0, len(y1))\n", + "\n", + "#data1 = y1\n", + "\n", + "\n", + "# fig, ax1 = plt.subplots()\n", + "\n", + "# color = 'tab:red'\n", + "# ax1.set_xlabel('time')\n", + "# ax1.set_ylabel('exp', color=color)\n", + "# ax1.plot(t, data1, color=color)\n", + "# ax1.tick_params(axis='y', labelcolor=color)\n", + "\n", + "# ax2 = ax1.twinx() # instantiate a second Axes that shares the same x-axis\n", + "\n", + "# color = 'tab:blue'\n", + "# ax2.set_ylabel(f'betti distance', color=color)\n", + "# ax2.plot(t, data2, color=color)\n", + "# ax2.tick_params(axis='y', labelcolor=color)\n", + "\n", + "# fig.tight_layout() \n", + "# plt.show()\n", + "\n", + "classic = betti_distance\n", + "for i in range(len(classic), y1.shape[0]):\n", + " classic.append(0)\n", + "\n", + "#print(len(y2), y1.shape)\n", + "\n", + "fig, ax1 = plt.subplots()\n", + "\n", + "plt.title(\"Classic Results\")\n", + "color = 'tab:red'\n", + "ax1.set_xlabel('time')\n", + "ax1.set_ylabel('stock value', color=color)\n", + "ax1.plot(t, stock, color=color)\n", + "ax1.tick_params(axis='y', labelcolor=color)\n", + "\n", + "ax2 = ax1.twinx() # instantiate a second Axes that shares the same x-axis\n", + "\n", + "color = 'tab:blue'\n", + "ax2.set_ylabel(f'betti distance', color=color) \n", + "ax2.plot(t, classic, color=color)\n", + "ax2.tick_params(axis='y', labelcolor=color)\n", + "\n", + "\n", + "fig.tight_layout() \n", + "#plt.show()\n", + "plt.savefig(\"classic_test.png\")\n", + "\n", + "\n", + "quantum = betti_distance_quantum\n", + "for i in range(len(quantum), y1.shape[0]):\n", + " quantum.append(0)\n", + "\n", + "#print(len(y2), y1.shape)\n", + "\n", + "fig, ax1 = plt.subplots()\n", + "\n", + "plt.title(\"Quantum Results\")\n", + "color = 'tab:red'\n", + "ax1.set_xlabel('time')\n", + "ax1.set_ylabel('stock value', color=color)\n", + "ax1.plot(t, stock, color=color)\n", + "ax1.tick_params(axis='y', labelcolor=color)\n", + "#ax1.title(\"Quantum Results\")\n", + "\n", + "ax2 = ax1.twinx() # instantiate a second Axes that shares the same x-axis\n", + "\n", + "color = 'tab:blue'\n", + "ax2.set_ylabel(f'betti distance', color=color) \n", + "ax2.plot(t, quantum, color=color)\n", + "ax2.tick_params(axis='y', labelcolor=color)\n", + "\n", + "fig.tight_layout() \n", + "#plt.show()\n", + "plt.savefig(\"quantum_test.png\")" + ] + }, { "cell_type": "markdown", "id": "d1c2e4b5", @@ -619,12 +3233,119 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 45, "id": "0de4a8f2", "metadata": {}, "outputs": [], "source": [ - "# write your code here" + "# write your code here\n", + "from qiskit.circuit.library import TwoLocal\n", + "from qiskit_algorithms.optimizers import SLSQP\n", + "from qiskit.quantum_info import Operator, SparsePauliOp\n", + "\n", + "from qiskit.primitives import Sampler, Estimator\n", + "from qiskit_algorithms.state_fidelities import ComputeUncompute\n", + "\n", + "from qiskit_algorithms import VQD\n", + "\n", + "from qiskit.circuit.library import RealAmplitudes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe4b0f0a", + "metadata": {}, + "outputs": [], + "source": [ + "def create_full_vqd_circuit(hamiltonian):\n", + " operator_unitary = Operator(hamiltonian)\n", + " sparse_pauli = SparsePauliOp.from_operator(operator_unitary)\n", + "\n", + "\n", + " ansatz = TwoLocal(circuitU.num_qubits, rotation_blocks=[\"ry\", \"rz\"], entanglement_blocks=\"cz\", reps=1)\n", + " # ansatz = RealAmplitudes(3, reps=1)\n", + "\n", + " optimizer = SLSQP()\n", + " # ansatz.decompose().draw(\"mpl\")\n", + " estimator = Estimator()\n", + " sampler = Sampler()\n", + " fidelity = ComputeUncompute(sampler)\n", + "\n", + " k = 3\n", + " betas = [33, 33, 33]\n", + "\n", + " counts = []\n", + " values = []\n", + " steps = []\n", + "\n", + "\n", + " def callback(eval_count, params, value, meta, step):\n", + " counts.append(eval_count)\n", + " values.append(value)\n", + " steps.append(step)\n", + "\n", + " vqd = VQD(estimator, fidelity, ansatz, optimizer, k=k, betas=betas, callback=callback)\n", + " result = vqd.compute_eigenvalues(operator=sparse_pauli)\n", + " vqd_values = result.eigenvalues\n", + "\n", + " return vqd_values.real\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5c826f0b", + "metadata": {}, + "outputs": [], + "source": [ + "def Get_betti_numbers_vqd(index):\n", + " list_of_hamiltonians = Get_Hamiltonian(index, verbal=False)\n", + " List_of_betti_numbers = []\n", + " for hamiltonian in list_of_hamiltonians:\n", + " # circuitU = make_unitaryCirc(hamiltonian)\n", + "\n", + " # number_of_counting_qubits = circuitU.num_qubits\n", + "\n", + " full_qpe_circuit = create_full_vqd_circuit(hamiltonian)\n", + " num_zeros = 0\n", + " for val in full_qpe_circuit:\n", + " if (round(val) == 0):\n", + " num_zeros += 1\n", + " # job = simulator.run(full_qpe_circuit, shots=1000)\n", + " # result = job.result()\n", + " # counts = result.get_counts()\n", + " # counts_reg1 = {}\n", + " # counts_reg2 = {}\n", + " # for bitstring, count in counts.items():\n", + " # reg2_bits, reg1_bits = bitstring.split() \n", + " # counts_reg1[reg1_bits] = counts_reg1.get(reg1_bits, 0) + count\n", + " # counts_reg2[reg2_bits] = counts_reg2.get(reg2_bits, 0) + count\n", + " \n", + "\n", + " # p_0 = counts_reg1.get('0'*number_of_counting_qubits, 0) / sum(counts_reg1.values())\n", + " # Betti = round(2**number_of_counting_qubits * p_0)\n", + " List_of_betti_numbers.append(num_zeros)\n", + " return List_of_betti_numbers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "546fd0a9", + "metadata": {}, + "outputs": [], + "source": [ + "Betti_list_vqd = []\n", + "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", + "# numbers of the corresponding Hamiltonians.\n", + "for i in range(len(ListOf_simplex_tree)):\n", + " Betti_list_vqd.append(Get_betti_numbers_vqd(i))\n", + "\n", + "Betti_list_vqd" ] }, { @@ -638,7 +3359,7 @@ ], "metadata": { "kernelspec": { - "display_name": "tda", + "display_name": "moodys-venv", "language": "python", "name": "python3" }, @@ -652,7 +3373,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.11" + "version": "3.12.8" } }, "nbformat": 4, diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..e9bb676 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,57 @@ +appnope==0.1.4 +asttokens==3.0.0 +comm==0.2.2 +debugpy==1.8.12 +decorator==5.1.1 +dill==0.3.9 +executing==2.2.0 +giotto-ph==0.2.4 +giotto-tda==0.6.2 +gudhi==3.10.1 +igraph==0.11.8 +ipykernel==6.29.5 +ipython==8.32.0 +ipywidgets==8.1.5 +jedi==0.19.2 +joblib==1.4.2 +jupyter_client==8.6.3 +jupyter_core==5.7.2 +jupyterlab_widgets==3.0.13 +matplotlib-inline==0.1.7 +mpmath==1.3.0 +narwhals==1.24.2 +nest-asyncio==1.6.0 +numpy==1.26.4 +packaging==24.2 +pandas==2.2.3 +parso==0.8.4 +pbr==6.1.0 +pexpect==4.9.0 +platformdirs==4.3.6 +plotly==6.0.0 +prompt_toolkit==3.0.50 +psutil==6.1.1 +ptyprocess==0.7.0 +pure_eval==0.2.3 +pyflagser==0.4.7 +Pygments==2.19.1 +python-dateutil==2.9.0.post0 +pytz==2025.1 +pyzmq==26.2.1 +qiskit==1.3.2 +rustworkx==0.16.0 +scikit-learn==1.3.2 +scipy==1.15.1 +six==1.17.0 +stack-data==0.6.3 +stevedore==5.4.0 +symengine==0.13.0 +sympy==1.13.3 +texttable==1.7.0 +threadpoolctl==3.5.0 +tornado==6.4.2 +traitlets==5.14.3 +typing_extensions==4.12.2 +tzdata==2025.1 +wcwidth==0.2.13 +widgetsnbextension==4.0.13 From 3847ab3bfc66c8434c40f6d4beecdf3640db22c2 Mon Sep 17 00:00:00 2001 From: jasonhan3 <98669315+jasonhan3@users.noreply.github.com> Date: Sun, 2 Feb 2025 10:55:07 -0500 Subject: [PATCH 2/7] changed size of noteboopk --- moodys_challenge.ipynb | 1710 ++++++++-------------------------------- 1 file changed, 314 insertions(+), 1396 deletions(-) diff --git a/moodys_challenge.ipynb b/moodys_challenge.ipynb index 592a079..96ed282 100644 --- a/moodys_challenge.ipynb +++ b/moodys_challenge.ipynb @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 274, + "execution_count": 1, "id": "4ec880cd", "metadata": {}, "outputs": [], @@ -169,13 +169,13 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "# time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", - "time_series = np.log(pd.read_csv(\"sp500_full.csv\", header=None, usecols=[1]).to_numpy().squeeze())" + "time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", + "# time_series = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[1]).to_numpy().squeeze())" ] }, { "cell_type": "code", - "execution_count": 275, + "execution_count": 2, "id": "b8ec0241", "metadata": {}, "outputs": [], @@ -224,28 +224,10 @@ }, { "cell_type": "code", - "execution_count": 276, + "execution_count": null, "id": "7b701be6", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[7.28632869 7.26318945 7.24288733 ... 8.47448922 8.47413432 8.47083507]\n" - ] - }, - { - "data": { - "text/plain": [ - "(5536,)" - ] - }, - "execution_count": 276, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# what is K????\n", "\n", @@ -265,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 277, + "execution_count": 4, "id": "895cc6c0", "metadata": {}, "outputs": [], @@ -287,7 +269,7 @@ }, { "cell_type": "code", - "execution_count": 278, + "execution_count": 5, "id": "f99f2514", "metadata": {}, "outputs": [], @@ -297,28 +279,17 @@ }, { "cell_type": "code", - "execution_count": 279, + "execution_count": null, "id": "6869770f", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(5521, 4)" - ] - }, - "execution_count": 279, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "tekin_applied_datapoints.shape" ] }, { "cell_type": "code", - "execution_count": 280, + "execution_count": 7, "id": "8f4d39b3", "metadata": {}, "outputs": [], @@ -334,7 +305,7 @@ }, { "cell_type": "code", - "execution_count": 281, + "execution_count": 8, "id": "9df155e6", "metadata": {}, "outputs": [], @@ -344,17 +315,17 @@ }, { "cell_type": "code", - "execution_count": 282, + "execution_count": 9, "id": "0fdce6a0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 5, 4)" + "(64, 5, 4)" ] }, - "execution_count": 282, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -365,7 +336,7 @@ }, { "cell_type": "code", - "execution_count": 283, + "execution_count": 10, "id": "2720f9ee", "metadata": {}, "outputs": [], @@ -376,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": 284, + "execution_count": 11, "id": "8907e2a0", "metadata": {}, "outputs": [], @@ -386,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 285, + "execution_count": 12, "id": "451f69b5", "metadata": {}, "outputs": [], @@ -396,17 +367,17 @@ }, { "cell_type": "code", - "execution_count": 286, + "execution_count": 13, "id": "3e787d3d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1, 5521, 4)" + "(1, 68, 4)" ] }, - "execution_count": 286, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -417,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 287, + "execution_count": 14, "id": "7f9ceebb", "metadata": {}, "outputs": [], @@ -427,17 +398,17 @@ }, { "cell_type": "code", - "execution_count": 288, + "execution_count": 15, "id": "8f960e9c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5521, 4)" + "(68, 4)" ] }, - "execution_count": 288, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -448,7 +419,7 @@ }, { "cell_type": "code", - "execution_count": 289, + "execution_count": 16, "id": "2ab61aa2", "metadata": {}, "outputs": [], @@ -458,17 +429,17 @@ }, { "cell_type": "code", - "execution_count": 290, + "execution_count": 17, "id": "502da9c6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 5, 4)" + "(64, 5, 4)" ] }, - "execution_count": 290, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -479,7 +450,7 @@ }, { "cell_type": "code", - "execution_count": 291, + "execution_count": 18, "id": "479473d6", "metadata": {}, "outputs": [ @@ -551,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 292, + "execution_count": 19, "id": "2275b349", "metadata": {}, "outputs": [], @@ -561,7 +532,7 @@ }, { "cell_type": "code", - "execution_count": 293, + "execution_count": 20, "id": "026d6b61", "metadata": {}, "outputs": [], @@ -580,17 +551,17 @@ }, { "cell_type": "code", - "execution_count": 294, + "execution_count": 21, "id": "f9bba7f1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 5, 4)" + "(64, 5, 4)" ] }, - "execution_count": 294, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -601,17 +572,17 @@ }, { "cell_type": "code", - "execution_count": 295, + "execution_count": 22, "id": "e67cc9d1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517,)" + "(64,)" ] }, - "execution_count": 295, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -623,18 +594,10 @@ }, { "cell_type": "code", - "execution_count": 296, + "execution_count": null, "id": "6610990e", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [2, 0], [2], [2], [2, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [2], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0]]\n" - ] - } - ], + "outputs": [], "source": [ "# Compute persistence for each simplex tree and then calculate Betti numbers\n", "for simplex_tree in simplex_tree_k:\n", @@ -648,7 +611,7 @@ }, { "cell_type": "code", - "execution_count": 322, + "execution_count": 24, "id": "2ee98440", "metadata": {}, "outputs": [], @@ -661,17 +624,17 @@ }, { "cell_type": "code", - "execution_count": 324, + "execution_count": 25, "id": "32c4c556", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 4)" + "(64, 4)" ] }, - "execution_count": 324, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -682,7 +645,7 @@ }, { "cell_type": "code", - "execution_count": 323, + "execution_count": 26, "id": "42c5cc16", "metadata": {}, "outputs": [], @@ -746,7 +709,7 @@ }, { "cell_type": "code", - "execution_count": 297, + "execution_count": 27, "id": "09c1e6dd", "metadata": {}, "outputs": [], @@ -810,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 298, + "execution_count": 28, "id": "b462f9f7", "metadata": {}, "outputs": [], @@ -828,7 +791,7 @@ }, { "cell_type": "code", - "execution_count": 299, + "execution_count": 29, "id": "117e9cc4", "metadata": {}, "outputs": [], @@ -862,7 +825,7 @@ }, { "cell_type": "code", - "execution_count": 300, + "execution_count": 30, "id": "06e9004b", "metadata": {}, "outputs": [ @@ -899,7 +862,7 @@ }, { "cell_type": "code", - "execution_count": 301, + "execution_count": 31, "id": "d2e8ee99", "metadata": {}, "outputs": [], @@ -921,92 +884,10 @@ }, { "cell_type": "code", - "execution_count": 302, + "execution_count": null, "id": "9cafb97a", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Boundary Operators for Simplex Tree 0: \n", - "\n", - "Boundary Operator 1:\n", - "[[-1. -1. -1. -1. 0. 0. 0. 0. 0. 0.]\n", - " [ 1. 0. 0. 0. -1. -1. -1. 0. 0. 0.]\n", - " [ 0. 1. 0. 0. 1. 0. 0. -1. -1. 0.]\n", - " [ 0. 0. 1. 0. 0. 1. 0. 1. 0. -1.]\n", - " [ 0. 0. 0. 1. 0. 0. 1. 0. 1. 1.]]\n", - "Boundary Operator 2:\n", - "[[ 1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]\n", - " [-1. 0. 0. 1. 1. 0. 0. 0. 0. 0.]\n", - " [ 0. -1. 0. -1. 0. 1. 0. 0. 0. 0.]\n", - " [ 0. 0. -1. 0. -1. -1. 0. 0. 0. 0.]\n", - " [ 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.]\n", - " [ 0. 1. 0. 0. 0. 0. -1. 0. 1. 0.]\n", - " [ 0. 0. 1. 0. 0. 0. 0. -1. -1. 0.]\n", - " [ 0. 0. 0. 1. 0. 0. 1. 0. 0. 1.]\n", - " [ 0. 0. 0. 0. 1. 0. 0. 1. 0. -1.]\n", - " [ 0. 0. 0. 0. 0. 1. 0. 0. 1. 1.]]\n", - "Boundary Operator 3:\n", - "[[-1. -1. 0. 0. 0.]\n", - " [ 1. 0. -1. 0. 0.]\n", - " [ 0. 1. 1. 0. 0.]\n", - " [-1. 0. 0. -1. 0.]\n", - " [ 0. -1. 0. 1. 0.]\n", - " [ 0. 0. -1. -1. 0.]\n", - " [ 1. 0. 0. 0. -1.]\n", - " [ 0. 1. 0. 0. 1.]\n", - " [ 0. 0. 1. 0. -1.]\n", - " [ 0. 0. 0. 1. 1.]]\n", - "Boundary Operator 4:\n", - "[[ 1.]\n", - " [-1.]\n", - " [ 1.]\n", - " [-1.]\n", - " [ 1.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "[array([[-1., -1., -1., -1., 0., 0., 0., 0., 0., 0.],\n", - " [ 1., 0., 0., 0., -1., -1., -1., 0., 0., 0.],\n", - " [ 0., 1., 0., 0., 1., 0., 0., -1., -1., 0.],\n", - " [ 0., 0., 1., 0., 0., 1., 0., 1., 0., -1.],\n", - " [ 0., 0., 0., 1., 0., 0., 1., 0., 1., 1.]]),\n", - " array([[ 1., 1., 1., 0., 0., 0., 0., 0., 0., 0.],\n", - " [-1., 0., 0., 1., 1., 0., 0., 0., 0., 0.],\n", - " [ 0., -1., 0., -1., 0., 1., 0., 0., 0., 0.],\n", - " [ 0., 0., -1., 0., -1., -1., 0., 0., 0., 0.],\n", - " [ 1., 0., 0., 0., 0., 0., 1., 1., 0., 0.],\n", - " [ 0., 1., 0., 0., 0., 0., -1., 0., 1., 0.],\n", - " [ 0., 0., 1., 0., 0., 0., 0., -1., -1., 0.],\n", - " [ 0., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n", - " [ 0., 0., 0., 0., 1., 0., 0., 1., 0., -1.],\n", - " [ 0., 0., 0., 0., 0., 1., 0., 0., 1., 1.]]),\n", - " array([[-1., -1., 0., 0., 0.],\n", - " [ 1., 0., -1., 0., 0.],\n", - " [ 0., 1., 1., 0., 0.],\n", - " [-1., 0., 0., -1., 0.],\n", - " [ 0., -1., 0., 1., 0.],\n", - " [ 0., 0., -1., -1., 0.],\n", - " [ 1., 0., 0., 0., -1.],\n", - " [ 0., 1., 0., 0., 1.],\n", - " [ 0., 0., 1., 0., -1.],\n", - " [ 0., 0., 0., 1., 1.]]),\n", - " array([[ 1.],\n", - " [-1.],\n", - " [ 1.],\n", - " [-1.],\n", - " [ 1.]])]" - ] - }, - "execution_count": 302, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Get_Boundary_Operators(0)" ] @@ -1118,7 +999,7 @@ }, { "cell_type": "code", - "execution_count": 303, + "execution_count": 33, "id": "b9dc1c38", "metadata": {}, "outputs": [], @@ -1139,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 304, + "execution_count": 34, "id": "d68f8b59", "metadata": {}, "outputs": [ @@ -1149,77 +1030,33 @@ "text": [ "Combinatorial Laplacian for Simplex Tree 33:\n", "Combinatorial Laplacian 0:\n", - "[[ 4. -1. -1. -1. -1.]\n", - " [-1. 4. -1. -1. -1.]\n", - " [-1. -1. 4. -1. -1.]\n", - " [-1. -1. -1. 4. -1.]\n", - " [-1. -1. -1. -1. 4.]]\n", + "[[ 0. 0. 0. 0. 0.]\n", + " [ 0. 2. -1. -1. 0.]\n", + " [ 0. -1. 2. -1. 0.]\n", + " [ 0. -1. -1. 3. -1.]\n", + " [ 0. 0. 0. -1. 1.]]\n", "Combinatorial Laplacian 1:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Combinatorial Laplacian 2:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Combinatorial Laplacian 3:\n", - "[[5. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 5.]]\n" + "[[ 3. 0. 0. 0.]\n", + " [ 0. 3. 0. -1.]\n", + " [ 0. 0. 3. -1.]\n", + " [ 0. -1. -1. 2.]]\n" ] }, { "data": { "text/plain": [ - "[array([[ 4., -1., -1., -1., -1.],\n", - " [-1., 4., -1., -1., -1.],\n", - " [-1., -1., 4., -1., -1.],\n", - " [-1., -1., -1., 4., -1.],\n", - " [-1., -1., -1., -1., 4.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 5.]])]" + "[array([[ 0., 0., 0., 0., 0.],\n", + " [ 0., 2., -1., -1., 0.],\n", + " [ 0., -1., 2., -1., 0.],\n", + " [ 0., -1., -1., 3., -1.],\n", + " [ 0., 0., 0., -1., 1.]]),\n", + " array([[ 3., 0., 0., 0.],\n", + " [ 0., 3., 0., -1.],\n", + " [ 0., 0., 3., -1.],\n", + " [ 0., -1., -1., 2.]])]" ] }, - "execution_count": 304, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1230,7 +1067,7 @@ }, { "cell_type": "code", - "execution_count": 305, + "execution_count": 35, "id": "c5373653", "metadata": {}, "outputs": [ @@ -1278,7 +1115,7 @@ }, { "cell_type": "code", - "execution_count": 306, + "execution_count": 36, "id": "c7f60eaf", "metadata": {}, "outputs": [], @@ -1298,7 +1135,7 @@ }, { "cell_type": "code", - "execution_count": 307, + "execution_count": 37, "id": "e7b5c6f1", "metadata": {}, "outputs": [ @@ -1308,113 +1145,39 @@ "text": [ "Hamiltonian for Simplex Tree 33:\n", "Hamiltonian 0:\n", - "[[ 4. -1. -1. -1. -1. 0. 0. 0.]\n", - " [-1. 4. -1. -1. -1. 0. 0. 0.]\n", - " [-1. -1. 4. -1. -1. 0. 0. 0.]\n", - " [-1. -1. -1. 4. -1. 0. 0. 0.]\n", - " [-1. -1. -1. -1. 4. 0. 0. 0.]\n", - " [ 0. 0. 0. 0. 0. 4. 0. 0.]\n", - " [ 0. 0. 0. 0. 0. 0. 4. 0.]\n", - " [ 0. 0. 0. 0. 0. 0. 0. 4.]]\n", + "[[ 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [ 0. 2. -1. -1. 0. 0. 0. 0.]\n", + " [ 0. -1. 2. -1. 0. 0. 0. 0.]\n", + " [ 0. -1. -1. 3. -1. 0. 0. 0.]\n", + " [ 0. 0. 0. -1. 1. 0. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 3. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 3. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 0. 3.]]\n", "Hamiltonian 1:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Hamiltonian 2:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Hamiltonian 3:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5.]]\n" + "[[ 3. 0. 0. 0.]\n", + " [ 0. 3. 0. -1.]\n", + " [ 0. 0. 3. -1.]\n", + " [ 0. -1. -1. 2.]]\n" ] }, { "data": { "text/plain": [ - "[array([[ 4., -1., -1., -1., -1., 0., 0., 0.],\n", - " [-1., 4., -1., -1., -1., 0., 0., 0.],\n", - " [-1., -1., 4., -1., -1., 0., 0., 0.],\n", - " [-1., -1., -1., 4., -1., 0., 0., 0.],\n", - " [-1., -1., -1., -1., 4., 0., 0., 0.],\n", - " [ 0., 0., 0., 0., 0., 4., 0., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 4., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 0., 4.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5.]])]" + "[array([[ 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [ 0., 2., -1., -1., 0., 0., 0., 0.],\n", + " [ 0., -1., 2., -1., 0., 0., 0., 0.],\n", + " [ 0., -1., -1., 3., -1., 0., 0., 0.],\n", + " [ 0., 0., 0., -1., 1., 0., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 3., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 3., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 0., 3.]]),\n", + " array([[ 3., 0., 0., 0.],\n", + " [ 0., 3., 0., -1.],\n", + " [ 0., 0., 3., -1.],\n", + " [ 0., -1., -1., 2.]])]" ] }, - "execution_count": 307, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1491,7 +1254,7 @@ }, { "cell_type": "code", - "execution_count": 308, + "execution_count": 38, "id": "848ef40c", "metadata": {}, "outputs": [], @@ -1524,7 +1287,7 @@ }, { "cell_type": "code", - "execution_count": 309, + "execution_count": 39, "id": "3a66554c", "metadata": {}, "outputs": [ @@ -1535,7 +1298,7 @@ "
" ] }, - "execution_count": 309, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1557,7 +1320,7 @@ }, { "cell_type": "code", - "execution_count": 310, + "execution_count": 40, "id": "686fc8d9", "metadata": {}, "outputs": [ @@ -1582,7 +1345,7 @@ "" ] }, - "execution_count": 310, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1595,7 +1358,7 @@ }, { "cell_type": "code", - "execution_count": 311, + "execution_count": 41, "id": "6c5a4838", "metadata": {}, "outputs": [], @@ -1635,7 +1398,7 @@ }, { "cell_type": "code", - "execution_count": 312, + "execution_count": 42, "id": "416033f9", "metadata": {}, "outputs": [ @@ -1643,19 +1406,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "Measurement counts (combined): {'111 011': 1, '000 011': 1, '110 100': 1, '101 010': 2, '111 000': 1, '110 011': 1, '101 101': 1, '100 000': 43, '111 110': 5, '111 101': 3, '110 001': 136, '000 101': 4, '000 000': 2, '010 000': 1, '100 110': 2, '010 010': 5, '000 100': 1, '011 100': 25, '000 110': 10, '001 000': 2, '100 011': 20, '010 011': 15, '001 110': 6, '110 110': 5, '110 101': 5, '001 111': 5, '100 010': 4, '101 110': 5, '010 101': 8, '011 111': 5, '101 000': 41, '001 100': 21, '111 001': 100, '100 001': 17, '011 001': 18, '001 010': 7, '100 101': 2, '000 001': 109, '011 010': 5, '011 011': 30, '001 001': 70, '001 011': 20, '100 111': 7, '000 010': 2, '010 110': 2, '010 001': 50, '010 111': 4, '001 101': 4, '010 100': 32, '110 000': 1, '101 001': 54, '011 110': 7, '100 100': 28, '011 000': 41, '110 010': 1, '101 011': 2}\n", - "Counts for classical_reg1: {'011': 90, '100': 108, '010': 26, '000': 132, '101': 27, '110': 42, '001': 554, '111': 21}\n", - "Counts for classical_reg2: {'111': 110, '000': 129, '110': 150, '101': 105, '100': 123, '010': 117, '011': 131, '001': 135}\n" + "Measurement counts (combined): {'000 010': 1, '001 101': 2, '011 010': 3, '111 011': 1, '011 111': 5, '000 111': 1, '101 010': 1, '111 101': 2, '101 110': 3, '100 010': 3, '010 000': 1, '100 110': 1, '110 001': 107, '011 101': 2, '000 101': 2, '000 000': 1, '011 110': 1, '110 011': 2, '010 010': 3, '001 100': 27, '101 000': 48, '101 111': 1, '011 100': 19, '110 101': 4, '001 111': 6, '110 110': 6, '000 001': 98, '100 101': 2, '001 000': 2, '111 010': 1, '111 100': 1, '100 000': 40, '111 110': 6, '010 101': 5, '000 110': 6, '100 011': 20, '101 100': 1, '100 111': 6, '111 001': 122, '100 001': 21, '110 111': 1, '011 001': 22, '001 011': 25, '011 011': 17, '001 001': 50, '010 110': 1, '010 111': 7, '010 001': 57, '010 100': 26, '101 011': 2, '110 010': 2, '001 110': 3, '010 011': 36, '011 000': 51, '100 100': 26, '000 011': 2, '101 001': 88}\n", + "Counts for classical_reg1: {'010': 14, '101': 19, '011': 105, '111': 27, '110': 27, '000': 143, '001': 565, '100': 100}\n", + "Counts for classical_reg2: {'000': 111, '001': 115, '011': 120, '111': 133, '101': 144, '100': 119, '010': 136, '110': 122}\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 312, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1705,7 +1468,7 @@ }, { "cell_type": "code", - "execution_count": 313, + "execution_count": 43, "id": "0c2fd57a", "metadata": {}, "outputs": [ @@ -1725,18 +1488,18 @@ }, { "cell_type": "code", - "execution_count": 314, + "execution_count": 44, "id": "11f96fbf", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 314, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1755,7 +1518,7 @@ }, { "cell_type": "code", - "execution_count": 315, + "execution_count": 45, "id": "cde72f6d", "metadata": {}, "outputs": [ @@ -1806,1021 +1569,10 @@ }, { "cell_type": "code", - "execution_count": 316, + "execution_count": null, "id": "2fb2dc4c", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[[1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 1],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " ...]" - ] - }, - "execution_count": 316, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Betti_list = []\n", "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", @@ -2833,7 +1585,7 @@ }, { "cell_type": "code", - "execution_count": 319, + "execution_count": 47, "id": "6c7ec0cb", "metadata": {}, "outputs": [], @@ -2846,17 +1598,17 @@ }, { "cell_type": "code", - "execution_count": 321, + "execution_count": 48, "id": "f60628a5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 4)" + "(64, 4)" ] }, - "execution_count": 321, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +1619,7 @@ }, { "cell_type": "code", - "execution_count": 320, + "execution_count": 49, "id": "de2fc7c7", "metadata": {}, "outputs": [], @@ -2875,6 +1627,16 @@ "np.save(\"betti_numbers_alldata.npy\", betti_numbers_all)" ] }, + { + "cell_type": "code", + "execution_count": 51, + "id": "07d1ed1c", + "metadata": {}, + "outputs": [], + "source": [ + "from qiskit_aer.noise import depolarizing_error" + ] + }, { "cell_type": "markdown", "id": "f8724ca3", @@ -2900,25 +1662,26 @@ }, { "cell_type": "code", - "execution_count": 317, + "execution_count": 54, "id": "15f72fde", "metadata": {}, "outputs": [ { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'qiskit.providers.aer'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[317], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mproviders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maer\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnoise\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m depolarizing_error\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m plot_histogram\n\u001b[1;32m 4\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m3\u001b[39m\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'qiskit.providers.aer'" - ] + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "from qiskit.providers.aer.noise import depolarizing_error\n", - "from qiskit.visualization import plot_histogram\n", + "# from qiskit.providers.aer.noise import depolarizing_error\n", + "from qiskit.visualization import plot_histogram, plot_state_city\n", + "from qiskit.quantum_info import DensityMatrix\n", "\n", "n = 3\n", "qc = QuantumCircuit(n, n)\n", @@ -2932,18 +1695,18 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 55, "id": "5e562416", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 54, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -2996,7 +1759,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 56, "id": "5ef68f98", "metadata": {}, "outputs": [], @@ -3021,10 +1784,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "id": "1f6e8455", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "63\n" + ] + } + ], "source": [ "from ripser import ripser\n", "\n", @@ -3109,15 +1880,47 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "3c423adf", + "execution_count": 60, + "id": "dbc2c340", "metadata": {}, "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "3c423adf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "stock = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[0]).to_numpy().squeeze()) \n", "#y1 = y1[:2200]\n", "# #y1 = data['Close'].to_numpy().squeeze()\n", "#y2 = np.pad(betti_distance, (int((y1.shape[0] - int(len(betti_distance)))/2), int((y1.shape[0] - len(betti_distance)+1)/2)) , mode='constant', constant_values=(0, 0))\n", + "y1 = stock\n", "t = np.arange(0, len(y1))\n", "\n", "#data1 = y1\n", @@ -3231,9 +2034,17 @@ " Implement a quantum TDA algorithm for persistent Betti numbers. Esstimating the persistent Betti numbers is a more general task than estimating the Betti number and it is more practical for TDA. It is an open problem to construct a quantum algorithm for the persistent Betti numbers in a way that is preferable for NISQ devices, and the only current implementation of a quantum algorithm for persistent betti number is shown [here](https://quantum-journal.org/papers/q-2022-12-07-873/pdf/)." ] }, + { + "cell_type": "markdown", + "id": "862007d5", + "metadata": {}, + "source": [ + "# VQD" + ] + }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 62, "id": "0de4a8f2", "metadata": {}, "outputs": [], @@ -3253,7 +2064,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "id": "fe4b0f0a", "metadata": {}, "outputs": [], @@ -3297,7 +2108,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "id": "5c826f0b", "metadata": {}, "outputs": [], @@ -3348,6 +2159,113 @@ "Betti_list_vqd" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "34ae870b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "12a27eec", + "metadata": {}, + "source": [ + "# Laplacian" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5db7711f", + "metadata": {}, + "outputs": [], + "source": [ + "# Bonus: Trying the map the laplacian's eigen values to Qubo, Approximating the lowest engeryg states of the hamiltonian that\n", + "# encodes the laplacian matrix\n", + "import numpy as np\n", + "from dwave.system import LeapHybridSampler\n", + "from scipy.sparse.csgraph import connected_components\n", + "\n", + "def laplacian_to_qubo(laplacian_submatrix, m=3, alpha=1.0):\n", + " n = laplacian_submatrix.shape[0]\n", + " qubo = {}\n", + "\n", + " # Rayleigh quotient term: x^T L x\n", + " for i in range(n):\n", + " for j in range(n):\n", + " coeff = laplacian_submatrix[i, j]\n", + " if np.abs(coeff) < 1e-10:\n", + " continue\n", + " for b in range(m):\n", + " qi = i * m + b\n", + " qj = j * m + b\n", + " qubo[(qi, qj)] = qubo.get((qi, qj), 0) + coeff / (2**b)\n", + "\n", + " # Constraint term: α*(||x||^2 - 1)^2\n", + " for i in range(n):\n", + " for b1 in range(m):\n", + " qi = i * m + b1\n", + " for b2 in range(m):\n", + " qj = i * m + b2\n", + " qubo[(qi, qj)] = qubo.get((qi, qj), 0) + alpha / (2**(b1 + b2))\n", + " for b in range(m):\n", + " qi = i * m + b\n", + " qubo[(qi, qi)] = qubo.get((qi, qi), 0) - alpha\n", + "\n", + " return qubo\n", + "\n", + "def split_laplacian(laplacian, threshold=1e-5):\n", + " n_components, labels = connected_components(laplacian > threshold, directed=False)\n", + " submatrices = []\n", + " for c in range(n_components):\n", + " indices = np.where(labels == c)[0]\n", + " sub = laplacian[np.ix_(indices, indices)]\n", + " submatrices.append(sub)\n", + " return submatrices\n", + "\n", + "def quantum_annealing_eigenvalues(laplacian, k=0, m_bits=3, alpha=2.0, tol=1e-3):\n", + " submatrices = split_laplacian(laplacian)\n", + " sampler = LeapHybridSampler(token=\"cSXm-453996d6c04705a310ac4272cff7149594c32b5a\")\n", + " eigenvalues = []\n", + " \n", + " for sub in submatrices:\n", + " qubo = laplacian_to_qubo(sub, m=m_bits, alpha=alpha)\n", + " # Remove num_reads parameter; LeapHybridSampler does not support it.\n", + " response = sampler.sample_qubo(qubo)\n", + " energies = response.data_vectors['energy']\n", + " \n", + " # Print all energies for debugging\n", + " print(\"Energies from annealer for a submatrix:\")\n", + " print(energies)\n", + " \n", + " min_energy = min(energies)\n", + " eigenvalues.append(min_energy)\n", + " \n", + " eigenvalues = np.sort(eigenvalues)\n", + " return eigenvalues[:5]\n", + "\n", + "# Example Usage\n", + "if __name__ == \"__main__\":\n", + " laplacian_k1 = np.array([\n", + " [3, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 3, 0, -1, -1, 0, 0, 0],\n", + " [0, 0, 3, -1, -1, 0, 0, 0],\n", + " [0, -1, -1, 2, 1, -1, 0, 0],\n", + " [0, -1, -1, 1, 2, 1, 0, 0],\n", + " [0, 0, 0, -1, 1, 2, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 3, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 3]\n", + " ])\n", + " \n", + " small_eigenvalues = quantum_annealing_eigenvalues(laplacian_k1, m_bits=3, alpha=2.0, tol=1e-3)\n", + " print(f\"Estimated smallest eigenvalues: {small_eigenvalues}\")\n", + " \n", + " classical_eigenvalues = np.linalg.eigvalsh(laplacian_k1)\n", + " print(f\"Classical eigenvalues: {np.sort(classical_eigenvalues)[:5]}\")" + ] + }, { "cell_type": "markdown", "id": "c098599c-7ab0-48b1-9e33-51d22502310d", From db937b6d113e93b308d68b88815750bd4b9fd783 Mon Sep 17 00:00:00 2001 From: jasonhan3 <98669315+jasonhan3@users.noreply.github.com> Date: Sun, 2 Feb 2025 10:57:46 -0500 Subject: [PATCH 3/7] revert notebook --- moodys_challenge.ipynb | 1710 ++++++++++++++++++++++++++++++++-------- 1 file changed, 1396 insertions(+), 314 deletions(-) diff --git a/moodys_challenge.ipynb b/moodys_challenge.ipynb index 96ed282..592a079 100644 --- a/moodys_challenge.ipynb +++ b/moodys_challenge.ipynb @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 274, "id": "4ec880cd", "metadata": {}, "outputs": [], @@ -169,13 +169,13 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", - "# time_series = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[1]).to_numpy().squeeze())" + "# time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", + "time_series = np.log(pd.read_csv(\"sp500_full.csv\", header=None, usecols=[1]).to_numpy().squeeze())" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 275, "id": "b8ec0241", "metadata": {}, "outputs": [], @@ -224,10 +224,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 276, "id": "7b701be6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[7.28632869 7.26318945 7.24288733 ... 8.47448922 8.47413432 8.47083507]\n" + ] + }, + { + "data": { + "text/plain": [ + "(5536,)" + ] + }, + "execution_count": 276, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# what is K????\n", "\n", @@ -247,7 +265,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 277, "id": "895cc6c0", "metadata": {}, "outputs": [], @@ -269,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 278, "id": "f99f2514", "metadata": {}, "outputs": [], @@ -279,17 +297,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 279, "id": "6869770f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(5521, 4)" + ] + }, + "execution_count": 279, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "tekin_applied_datapoints.shape" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 280, "id": "8f4d39b3", "metadata": {}, "outputs": [], @@ -305,7 +334,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 281, "id": "9df155e6", "metadata": {}, "outputs": [], @@ -315,17 +344,17 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 282, "id": "0fdce6a0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(64, 5, 4)" + "(5517, 5, 4)" ] }, - "execution_count": 9, + "execution_count": 282, "metadata": {}, "output_type": "execute_result" } @@ -336,7 +365,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 283, "id": "2720f9ee", "metadata": {}, "outputs": [], @@ -347,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 284, "id": "8907e2a0", "metadata": {}, "outputs": [], @@ -357,7 +386,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 285, "id": "451f69b5", "metadata": {}, "outputs": [], @@ -367,17 +396,17 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 286, "id": "3e787d3d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1, 68, 4)" + "(1, 5521, 4)" ] }, - "execution_count": 13, + "execution_count": 286, "metadata": {}, "output_type": "execute_result" } @@ -388,7 +417,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 287, "id": "7f9ceebb", "metadata": {}, "outputs": [], @@ -398,17 +427,17 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 288, "id": "8f960e9c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(68, 4)" + "(5521, 4)" ] }, - "execution_count": 15, + "execution_count": 288, "metadata": {}, "output_type": "execute_result" } @@ -419,7 +448,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 289, "id": "2ab61aa2", "metadata": {}, "outputs": [], @@ -429,17 +458,17 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 290, "id": "502da9c6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(64, 5, 4)" + "(5517, 5, 4)" ] }, - "execution_count": 17, + "execution_count": 290, "metadata": {}, "output_type": "execute_result" } @@ -450,7 +479,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 291, "id": "479473d6", "metadata": {}, "outputs": [ @@ -522,7 +551,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 292, "id": "2275b349", "metadata": {}, "outputs": [], @@ -532,7 +561,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 293, "id": "026d6b61", "metadata": {}, "outputs": [], @@ -551,17 +580,17 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 294, "id": "f9bba7f1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(64, 5, 4)" + "(5517, 5, 4)" ] }, - "execution_count": 21, + "execution_count": 294, "metadata": {}, "output_type": "execute_result" } @@ -572,17 +601,17 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 295, "id": "e67cc9d1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(64,)" + "(5517,)" ] }, - "execution_count": 22, + "execution_count": 295, "metadata": {}, "output_type": "execute_result" } @@ -594,10 +623,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 296, "id": "6610990e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [2, 0], [2], [2], [2, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [2], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0]]\n" + ] + } + ], "source": [ "# Compute persistence for each simplex tree and then calculate Betti numbers\n", "for simplex_tree in simplex_tree_k:\n", @@ -611,7 +648,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 322, "id": "2ee98440", "metadata": {}, "outputs": [], @@ -624,17 +661,17 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 324, "id": "32c4c556", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(64, 4)" + "(5517, 4)" ] }, - "execution_count": 25, + "execution_count": 324, "metadata": {}, "output_type": "execute_result" } @@ -645,7 +682,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 323, "id": "42c5cc16", "metadata": {}, "outputs": [], @@ -709,7 +746,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 297, "id": "09c1e6dd", "metadata": {}, "outputs": [], @@ -773,7 +810,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 298, "id": "b462f9f7", "metadata": {}, "outputs": [], @@ -791,7 +828,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 299, "id": "117e9cc4", "metadata": {}, "outputs": [], @@ -825,7 +862,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 300, "id": "06e9004b", "metadata": {}, "outputs": [ @@ -862,7 +899,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 301, "id": "d2e8ee99", "metadata": {}, "outputs": [], @@ -884,10 +921,92 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 302, "id": "9cafb97a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boundary Operators for Simplex Tree 0: \n", + "\n", + "Boundary Operator 1:\n", + "[[-1. -1. -1. -1. 0. 0. 0. 0. 0. 0.]\n", + " [ 1. 0. 0. 0. -1. -1. -1. 0. 0. 0.]\n", + " [ 0. 1. 0. 0. 1. 0. 0. -1. -1. 0.]\n", + " [ 0. 0. 1. 0. 0. 1. 0. 1. 0. -1.]\n", + " [ 0. 0. 0. 1. 0. 0. 1. 0. 1. 1.]]\n", + "Boundary Operator 2:\n", + "[[ 1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]\n", + " [-1. 0. 0. 1. 1. 0. 0. 0. 0. 0.]\n", + " [ 0. -1. 0. -1. 0. 1. 0. 0. 0. 0.]\n", + " [ 0. 0. -1. 0. -1. -1. 0. 0. 0. 0.]\n", + " [ 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.]\n", + " [ 0. 1. 0. 0. 0. 0. -1. 0. 1. 0.]\n", + " [ 0. 0. 1. 0. 0. 0. 0. -1. -1. 0.]\n", + " [ 0. 0. 0. 1. 0. 0. 1. 0. 0. 1.]\n", + " [ 0. 0. 0. 0. 1. 0. 0. 1. 0. -1.]\n", + " [ 0. 0. 0. 0. 0. 1. 0. 0. 1. 1.]]\n", + "Boundary Operator 3:\n", + "[[-1. -1. 0. 0. 0.]\n", + " [ 1. 0. -1. 0. 0.]\n", + " [ 0. 1. 1. 0. 0.]\n", + " [-1. 0. 0. -1. 0.]\n", + " [ 0. -1. 0. 1. 0.]\n", + " [ 0. 0. -1. -1. 0.]\n", + " [ 1. 0. 0. 0. -1.]\n", + " [ 0. 1. 0. 0. 1.]\n", + " [ 0. 0. 1. 0. -1.]\n", + " [ 0. 0. 0. 1. 1.]]\n", + "Boundary Operator 4:\n", + "[[ 1.]\n", + " [-1.]\n", + " [ 1.]\n", + " [-1.]\n", + " [ 1.]]\n" + ] + }, + { + "data": { + "text/plain": [ + "[array([[-1., -1., -1., -1., 0., 0., 0., 0., 0., 0.],\n", + " [ 1., 0., 0., 0., -1., -1., -1., 0., 0., 0.],\n", + " [ 0., 1., 0., 0., 1., 0., 0., -1., -1., 0.],\n", + " [ 0., 0., 1., 0., 0., 1., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 1., 0., 0., 1., 0., 1., 1.]]),\n", + " array([[ 1., 1., 1., 0., 0., 0., 0., 0., 0., 0.],\n", + " [-1., 0., 0., 1., 1., 0., 0., 0., 0., 0.],\n", + " [ 0., -1., 0., -1., 0., 1., 0., 0., 0., 0.],\n", + " [ 0., 0., -1., 0., -1., -1., 0., 0., 0., 0.],\n", + " [ 1., 0., 0., 0., 0., 0., 1., 1., 0., 0.],\n", + " [ 0., 1., 0., 0., 0., 0., -1., 0., 1., 0.],\n", + " [ 0., 0., 1., 0., 0., 0., 0., -1., -1., 0.],\n", + " [ 0., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n", + " [ 0., 0., 0., 0., 1., 0., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 0., 0., 1., 0., 0., 1., 1.]]),\n", + " array([[-1., -1., 0., 0., 0.],\n", + " [ 1., 0., -1., 0., 0.],\n", + " [ 0., 1., 1., 0., 0.],\n", + " [-1., 0., 0., -1., 0.],\n", + " [ 0., -1., 0., 1., 0.],\n", + " [ 0., 0., -1., -1., 0.],\n", + " [ 1., 0., 0., 0., -1.],\n", + " [ 0., 1., 0., 0., 1.],\n", + " [ 0., 0., 1., 0., -1.],\n", + " [ 0., 0., 0., 1., 1.]]),\n", + " array([[ 1.],\n", + " [-1.],\n", + " [ 1.],\n", + " [-1.],\n", + " [ 1.]])]" + ] + }, + "execution_count": 302, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Get_Boundary_Operators(0)" ] @@ -999,7 +1118,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 303, "id": "b9dc1c38", "metadata": {}, "outputs": [], @@ -1020,7 +1139,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 304, "id": "d68f8b59", "metadata": {}, "outputs": [ @@ -1030,33 +1149,77 @@ "text": [ "Combinatorial Laplacian for Simplex Tree 33:\n", "Combinatorial Laplacian 0:\n", - "[[ 0. 0. 0. 0. 0.]\n", - " [ 0. 2. -1. -1. 0.]\n", - " [ 0. -1. 2. -1. 0.]\n", - " [ 0. -1. -1. 3. -1.]\n", - " [ 0. 0. 0. -1. 1.]]\n", + "[[ 4. -1. -1. -1. -1.]\n", + " [-1. 4. -1. -1. -1.]\n", + " [-1. -1. 4. -1. -1.]\n", + " [-1. -1. -1. 4. -1.]\n", + " [-1. -1. -1. -1. 4.]]\n", "Combinatorial Laplacian 1:\n", - "[[ 3. 0. 0. 0.]\n", - " [ 0. 3. 0. -1.]\n", - " [ 0. 0. 3. -1.]\n", - " [ 0. -1. -1. 2.]]\n" + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Combinatorial Laplacian 2:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Combinatorial Laplacian 3:\n", + "[[5. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 5.]]\n" ] }, { "data": { "text/plain": [ - "[array([[ 0., 0., 0., 0., 0.],\n", - " [ 0., 2., -1., -1., 0.],\n", - " [ 0., -1., 2., -1., 0.],\n", - " [ 0., -1., -1., 3., -1.],\n", - " [ 0., 0., 0., -1., 1.]]),\n", - " array([[ 3., 0., 0., 0.],\n", - " [ 0., 3., 0., -1.],\n", - " [ 0., 0., 3., -1.],\n", - " [ 0., -1., -1., 2.]])]" + "[array([[ 4., -1., -1., -1., -1.],\n", + " [-1., 4., -1., -1., -1.],\n", + " [-1., -1., 4., -1., -1.],\n", + " [-1., -1., -1., 4., -1.],\n", + " [-1., -1., -1., -1., 4.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 5.]])]" ] }, - "execution_count": 34, + "execution_count": 304, "metadata": {}, "output_type": "execute_result" } @@ -1067,7 +1230,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 305, "id": "c5373653", "metadata": {}, "outputs": [ @@ -1115,7 +1278,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 306, "id": "c7f60eaf", "metadata": {}, "outputs": [], @@ -1135,7 +1298,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 307, "id": "e7b5c6f1", "metadata": {}, "outputs": [ @@ -1145,39 +1308,113 @@ "text": [ "Hamiltonian for Simplex Tree 33:\n", "Hamiltonian 0:\n", - "[[ 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [ 0. 2. -1. -1. 0. 0. 0. 0.]\n", - " [ 0. -1. 2. -1. 0. 0. 0. 0.]\n", - " [ 0. -1. -1. 3. -1. 0. 0. 0.]\n", - " [ 0. 0. 0. -1. 1. 0. 0. 0.]\n", - " [ 0. 0. 0. 0. 0. 3. 0. 0.]\n", - " [ 0. 0. 0. 0. 0. 0. 3. 0.]\n", - " [ 0. 0. 0. 0. 0. 0. 0. 3.]]\n", + "[[ 4. -1. -1. -1. -1. 0. 0. 0.]\n", + " [-1. 4. -1. -1. -1. 0. 0. 0.]\n", + " [-1. -1. 4. -1. -1. 0. 0. 0.]\n", + " [-1. -1. -1. 4. -1. 0. 0. 0.]\n", + " [-1. -1. -1. -1. 4. 0. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 4. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 4. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 0. 4.]]\n", "Hamiltonian 1:\n", - "[[ 3. 0. 0. 0.]\n", - " [ 0. 3. 0. -1.]\n", - " [ 0. 0. 3. -1.]\n", - " [ 0. -1. -1. 2.]]\n" + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Hamiltonian 2:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", + "Hamiltonian 3:\n", + "[[5. 0. 0. 0. 0. 0. 0. 0.]\n", + " [0. 5. 0. 0. 0. 0. 0. 0.]\n", + " [0. 0. 5. 0. 0. 0. 0. 0.]\n", + " [0. 0. 0. 5. 0. 0. 0. 0.]\n", + " [0. 0. 0. 0. 5. 0. 0. 0.]\n", + " [0. 0. 0. 0. 0. 5. 0. 0.]\n", + " [0. 0. 0. 0. 0. 0. 5. 0.]\n", + " [0. 0. 0. 0. 0. 0. 0. 5.]]\n" ] }, { "data": { "text/plain": [ - "[array([[ 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [ 0., 2., -1., -1., 0., 0., 0., 0.],\n", - " [ 0., -1., 2., -1., 0., 0., 0., 0.],\n", - " [ 0., -1., -1., 3., -1., 0., 0., 0.],\n", - " [ 0., 0., 0., -1., 1., 0., 0., 0.],\n", - " [ 0., 0., 0., 0., 0., 3., 0., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 3., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 0., 3.]]),\n", - " array([[ 3., 0., 0., 0.],\n", - " [ 0., 3., 0., -1.],\n", - " [ 0., 0., 3., -1.],\n", - " [ 0., -1., -1., 2.]])]" + "[array([[ 4., -1., -1., -1., -1., 0., 0., 0.],\n", + " [-1., 4., -1., -1., -1., 0., 0., 0.],\n", + " [-1., -1., 4., -1., -1., 0., 0., 0.],\n", + " [-1., -1., -1., 4., -1., 0., 0., 0.],\n", + " [-1., -1., -1., -1., 4., 0., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 4., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 4., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 0., 4.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", + " array([[5., 0., 0., 0., 0., 0., 0., 0.],\n", + " [0., 5., 0., 0., 0., 0., 0., 0.],\n", + " [0., 0., 5., 0., 0., 0., 0., 0.],\n", + " [0., 0., 0., 5., 0., 0., 0., 0.],\n", + " [0., 0., 0., 0., 5., 0., 0., 0.],\n", + " [0., 0., 0., 0., 0., 5., 0., 0.],\n", + " [0., 0., 0., 0., 0., 0., 5., 0.],\n", + " [0., 0., 0., 0., 0., 0., 0., 5.]])]" ] }, - "execution_count": 37, + "execution_count": 307, "metadata": {}, "output_type": "execute_result" } @@ -1254,7 +1491,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 308, "id": "848ef40c", "metadata": {}, "outputs": [], @@ -1287,7 +1524,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 309, "id": "3a66554c", "metadata": {}, "outputs": [ @@ -1298,7 +1535,7 @@ "
" ] }, - "execution_count": 39, + "execution_count": 309, "metadata": {}, "output_type": "execute_result" } @@ -1320,7 +1557,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 310, "id": "686fc8d9", "metadata": {}, "outputs": [ @@ -1345,7 +1582,7 @@ "" ] }, - "execution_count": 40, + "execution_count": 310, "metadata": {}, "output_type": "execute_result" } @@ -1358,7 +1595,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 311, "id": "6c5a4838", "metadata": {}, "outputs": [], @@ -1398,7 +1635,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 312, "id": "416033f9", "metadata": {}, "outputs": [ @@ -1406,19 +1643,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "Measurement counts (combined): {'000 010': 1, '001 101': 2, '011 010': 3, '111 011': 1, '011 111': 5, '000 111': 1, '101 010': 1, '111 101': 2, '101 110': 3, '100 010': 3, '010 000': 1, '100 110': 1, '110 001': 107, '011 101': 2, '000 101': 2, '000 000': 1, '011 110': 1, '110 011': 2, '010 010': 3, '001 100': 27, '101 000': 48, '101 111': 1, '011 100': 19, '110 101': 4, '001 111': 6, '110 110': 6, '000 001': 98, '100 101': 2, '001 000': 2, '111 010': 1, '111 100': 1, '100 000': 40, '111 110': 6, '010 101': 5, '000 110': 6, '100 011': 20, '101 100': 1, '100 111': 6, '111 001': 122, '100 001': 21, '110 111': 1, '011 001': 22, '001 011': 25, '011 011': 17, '001 001': 50, '010 110': 1, '010 111': 7, '010 001': 57, '010 100': 26, '101 011': 2, '110 010': 2, '001 110': 3, '010 011': 36, '011 000': 51, '100 100': 26, '000 011': 2, '101 001': 88}\n", - "Counts for classical_reg1: {'010': 14, '101': 19, '011': 105, '111': 27, '110': 27, '000': 143, '001': 565, '100': 100}\n", - "Counts for classical_reg2: {'000': 111, '001': 115, '011': 120, '111': 133, '101': 144, '100': 119, '010': 136, '110': 122}\n" + "Measurement counts (combined): {'111 011': 1, '000 011': 1, '110 100': 1, '101 010': 2, '111 000': 1, '110 011': 1, '101 101': 1, '100 000': 43, '111 110': 5, '111 101': 3, '110 001': 136, '000 101': 4, '000 000': 2, '010 000': 1, '100 110': 2, '010 010': 5, '000 100': 1, '011 100': 25, '000 110': 10, '001 000': 2, '100 011': 20, '010 011': 15, '001 110': 6, '110 110': 5, '110 101': 5, '001 111': 5, '100 010': 4, '101 110': 5, '010 101': 8, '011 111': 5, '101 000': 41, '001 100': 21, '111 001': 100, '100 001': 17, '011 001': 18, '001 010': 7, '100 101': 2, '000 001': 109, '011 010': 5, '011 011': 30, '001 001': 70, '001 011': 20, '100 111': 7, '000 010': 2, '010 110': 2, '010 001': 50, '010 111': 4, '001 101': 4, '010 100': 32, '110 000': 1, '101 001': 54, '011 110': 7, '100 100': 28, '011 000': 41, '110 010': 1, '101 011': 2}\n", + "Counts for classical_reg1: {'011': 90, '100': 108, '010': 26, '000': 132, '101': 27, '110': 42, '001': 554, '111': 21}\n", + "Counts for classical_reg2: {'111': 110, '000': 129, '110': 150, '101': 105, '100': 123, '010': 117, '011': 131, '001': 135}\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 42, + "execution_count": 312, "metadata": {}, "output_type": "execute_result" } @@ -1468,7 +1705,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 313, "id": "0c2fd57a", "metadata": {}, "outputs": [ @@ -1488,18 +1725,18 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 314, "id": "11f96fbf", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 44, + "execution_count": 314, "metadata": {}, "output_type": "execute_result" } @@ -1518,7 +1755,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 315, "id": "cde72f6d", "metadata": {}, "outputs": [ @@ -1569,10 +1806,1021 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 316, "id": "2fb2dc4c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[[1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 1],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " [1, 0, 0, 0],\n", + " ...]" + ] + }, + "execution_count": 316, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "Betti_list = []\n", "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", @@ -1585,7 +2833,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 319, "id": "6c7ec0cb", "metadata": {}, "outputs": [], @@ -1598,17 +2846,17 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 321, "id": "f60628a5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(64, 4)" + "(5517, 4)" ] }, - "execution_count": 48, + "execution_count": 321, "metadata": {}, "output_type": "execute_result" } @@ -1619,7 +2867,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 320, "id": "de2fc7c7", "metadata": {}, "outputs": [], @@ -1627,16 +2875,6 @@ "np.save(\"betti_numbers_alldata.npy\", betti_numbers_all)" ] }, - { - "cell_type": "code", - "execution_count": 51, - "id": "07d1ed1c", - "metadata": {}, - "outputs": [], - "source": [ - "from qiskit_aer.noise import depolarizing_error" - ] - }, { "cell_type": "markdown", "id": "f8724ca3", @@ -1662,26 +2900,25 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 317, "id": "15f72fde", "metadata": {}, "outputs": [ { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" + "ename": "ModuleNotFoundError", + "evalue": "No module named 'qiskit.providers.aer'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[317], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mproviders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maer\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnoise\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m depolarizing_error\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m plot_histogram\n\u001b[1;32m 4\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m3\u001b[39m\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'qiskit.providers.aer'" + ] } ], "source": [ - "# from qiskit.providers.aer.noise import depolarizing_error\n", - "from qiskit.visualization import plot_histogram, plot_state_city\n", - "from qiskit.quantum_info import DensityMatrix\n", + "from qiskit.providers.aer.noise import depolarizing_error\n", + "from qiskit.visualization import plot_histogram\n", "\n", "n = 3\n", "qc = QuantumCircuit(n, n)\n", @@ -1695,18 +2932,18 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 54, "id": "5e562416", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 55, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -1759,7 +2996,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 44, "id": "5ef68f98", "metadata": {}, "outputs": [], @@ -1784,18 +3021,10 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "id": "1f6e8455", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "63\n" - ] - } - ], + "outputs": [], "source": [ "from ripser import ripser\n", "\n", @@ -1880,47 +3109,15 @@ }, { "cell_type": "code", - "execution_count": 60, - "id": "dbc2c340", - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 61, + "execution_count": null, "id": "3c423adf", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "stock = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[0]).to_numpy().squeeze()) \n", "#y1 = y1[:2200]\n", "# #y1 = data['Close'].to_numpy().squeeze()\n", "#y2 = np.pad(betti_distance, (int((y1.shape[0] - int(len(betti_distance)))/2), int((y1.shape[0] - len(betti_distance)+1)/2)) , mode='constant', constant_values=(0, 0))\n", - "y1 = stock\n", "t = np.arange(0, len(y1))\n", "\n", "#data1 = y1\n", @@ -2034,17 +3231,9 @@ " Implement a quantum TDA algorithm for persistent Betti numbers. Esstimating the persistent Betti numbers is a more general task than estimating the Betti number and it is more practical for TDA. It is an open problem to construct a quantum algorithm for the persistent Betti numbers in a way that is preferable for NISQ devices, and the only current implementation of a quantum algorithm for persistent betti number is shown [here](https://quantum-journal.org/papers/q-2022-12-07-873/pdf/)." ] }, - { - "cell_type": "markdown", - "id": "862007d5", - "metadata": {}, - "source": [ - "# VQD" - ] - }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 45, "id": "0de4a8f2", "metadata": {}, "outputs": [], @@ -2064,7 +3253,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "id": "fe4b0f0a", "metadata": {}, "outputs": [], @@ -2108,7 +3297,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": null, "id": "5c826f0b", "metadata": {}, "outputs": [], @@ -2159,113 +3348,6 @@ "Betti_list_vqd" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "34ae870b", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "12a27eec", - "metadata": {}, - "source": [ - "# Laplacian" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5db7711f", - "metadata": {}, - "outputs": [], - "source": [ - "# Bonus: Trying the map the laplacian's eigen values to Qubo, Approximating the lowest engeryg states of the hamiltonian that\n", - "# encodes the laplacian matrix\n", - "import numpy as np\n", - "from dwave.system import LeapHybridSampler\n", - "from scipy.sparse.csgraph import connected_components\n", - "\n", - "def laplacian_to_qubo(laplacian_submatrix, m=3, alpha=1.0):\n", - " n = laplacian_submatrix.shape[0]\n", - " qubo = {}\n", - "\n", - " # Rayleigh quotient term: x^T L x\n", - " for i in range(n):\n", - " for j in range(n):\n", - " coeff = laplacian_submatrix[i, j]\n", - " if np.abs(coeff) < 1e-10:\n", - " continue\n", - " for b in range(m):\n", - " qi = i * m + b\n", - " qj = j * m + b\n", - " qubo[(qi, qj)] = qubo.get((qi, qj), 0) + coeff / (2**b)\n", - "\n", - " # Constraint term: α*(||x||^2 - 1)^2\n", - " for i in range(n):\n", - " for b1 in range(m):\n", - " qi = i * m + b1\n", - " for b2 in range(m):\n", - " qj = i * m + b2\n", - " qubo[(qi, qj)] = qubo.get((qi, qj), 0) + alpha / (2**(b1 + b2))\n", - " for b in range(m):\n", - " qi = i * m + b\n", - " qubo[(qi, qi)] = qubo.get((qi, qi), 0) - alpha\n", - "\n", - " return qubo\n", - "\n", - "def split_laplacian(laplacian, threshold=1e-5):\n", - " n_components, labels = connected_components(laplacian > threshold, directed=False)\n", - " submatrices = []\n", - " for c in range(n_components):\n", - " indices = np.where(labels == c)[0]\n", - " sub = laplacian[np.ix_(indices, indices)]\n", - " submatrices.append(sub)\n", - " return submatrices\n", - "\n", - "def quantum_annealing_eigenvalues(laplacian, k=0, m_bits=3, alpha=2.0, tol=1e-3):\n", - " submatrices = split_laplacian(laplacian)\n", - " sampler = LeapHybridSampler(token=\"cSXm-453996d6c04705a310ac4272cff7149594c32b5a\")\n", - " eigenvalues = []\n", - " \n", - " for sub in submatrices:\n", - " qubo = laplacian_to_qubo(sub, m=m_bits, alpha=alpha)\n", - " # Remove num_reads parameter; LeapHybridSampler does not support it.\n", - " response = sampler.sample_qubo(qubo)\n", - " energies = response.data_vectors['energy']\n", - " \n", - " # Print all energies for debugging\n", - " print(\"Energies from annealer for a submatrix:\")\n", - " print(energies)\n", - " \n", - " min_energy = min(energies)\n", - " eigenvalues.append(min_energy)\n", - " \n", - " eigenvalues = np.sort(eigenvalues)\n", - " return eigenvalues[:5]\n", - "\n", - "# Example Usage\n", - "if __name__ == \"__main__\":\n", - " laplacian_k1 = np.array([\n", - " [3, 0, 0, 0, 0, 0, 0, 0],\n", - " [0, 3, 0, -1, -1, 0, 0, 0],\n", - " [0, 0, 3, -1, -1, 0, 0, 0],\n", - " [0, -1, -1, 2, 1, -1, 0, 0],\n", - " [0, -1, -1, 1, 2, 1, 0, 0],\n", - " [0, 0, 0, -1, 1, 2, 0, 0],\n", - " [0, 0, 0, 0, 0, 0, 3, 0],\n", - " [0, 0, 0, 0, 0, 0, 0, 3]\n", - " ])\n", - " \n", - " small_eigenvalues = quantum_annealing_eigenvalues(laplacian_k1, m_bits=3, alpha=2.0, tol=1e-3)\n", - " print(f\"Estimated smallest eigenvalues: {small_eigenvalues}\")\n", - " \n", - " classical_eigenvalues = np.linalg.eigvalsh(laplacian_k1)\n", - " print(f\"Classical eigenvalues: {np.sort(classical_eigenvalues)[:5]}\")" - ] - }, { "cell_type": "markdown", "id": "c098599c-7ab0-48b1-9e33-51d22502310d", From 0bb4ad8b264b8876aaeb93b13fe157f48851aa51 Mon Sep 17 00:00:00 2001 From: jasonhan3 <98669315+jasonhan3@users.noreply.github.com> Date: Sun, 2 Feb 2025 11:07:32 -0500 Subject: [PATCH 4/7] added annealing --- moodys_challenge.ipynb | 1710 ++++++++-------------------------------- 1 file changed, 314 insertions(+), 1396 deletions(-) diff --git a/moodys_challenge.ipynb b/moodys_challenge.ipynb index 592a079..96ed282 100644 --- a/moodys_challenge.ipynb +++ b/moodys_challenge.ipynb @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 274, + "execution_count": 1, "id": "4ec880cd", "metadata": {}, "outputs": [], @@ -169,13 +169,13 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "# time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", - "time_series = np.log(pd.read_csv(\"sp500_full.csv\", header=None, usecols=[1]).to_numpy().squeeze())" + "time_series = np.log(pd.read_csv(\"SP500.csv\", header=None).to_numpy().squeeze())\n", + "# time_series = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[1]).to_numpy().squeeze())" ] }, { "cell_type": "code", - "execution_count": 275, + "execution_count": 2, "id": "b8ec0241", "metadata": {}, "outputs": [], @@ -224,28 +224,10 @@ }, { "cell_type": "code", - "execution_count": 276, + "execution_count": null, "id": "7b701be6", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[7.28632869 7.26318945 7.24288733 ... 8.47448922 8.47413432 8.47083507]\n" - ] - }, - { - "data": { - "text/plain": [ - "(5536,)" - ] - }, - "execution_count": 276, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# what is K????\n", "\n", @@ -265,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 277, + "execution_count": 4, "id": "895cc6c0", "metadata": {}, "outputs": [], @@ -287,7 +269,7 @@ }, { "cell_type": "code", - "execution_count": 278, + "execution_count": 5, "id": "f99f2514", "metadata": {}, "outputs": [], @@ -297,28 +279,17 @@ }, { "cell_type": "code", - "execution_count": 279, + "execution_count": null, "id": "6869770f", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(5521, 4)" - ] - }, - "execution_count": 279, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "tekin_applied_datapoints.shape" ] }, { "cell_type": "code", - "execution_count": 280, + "execution_count": 7, "id": "8f4d39b3", "metadata": {}, "outputs": [], @@ -334,7 +305,7 @@ }, { "cell_type": "code", - "execution_count": 281, + "execution_count": 8, "id": "9df155e6", "metadata": {}, "outputs": [], @@ -344,17 +315,17 @@ }, { "cell_type": "code", - "execution_count": 282, + "execution_count": 9, "id": "0fdce6a0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 5, 4)" + "(64, 5, 4)" ] }, - "execution_count": 282, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -365,7 +336,7 @@ }, { "cell_type": "code", - "execution_count": 283, + "execution_count": 10, "id": "2720f9ee", "metadata": {}, "outputs": [], @@ -376,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": 284, + "execution_count": 11, "id": "8907e2a0", "metadata": {}, "outputs": [], @@ -386,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 285, + "execution_count": 12, "id": "451f69b5", "metadata": {}, "outputs": [], @@ -396,17 +367,17 @@ }, { "cell_type": "code", - "execution_count": 286, + "execution_count": 13, "id": "3e787d3d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(1, 5521, 4)" + "(1, 68, 4)" ] }, - "execution_count": 286, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -417,7 +388,7 @@ }, { "cell_type": "code", - "execution_count": 287, + "execution_count": 14, "id": "7f9ceebb", "metadata": {}, "outputs": [], @@ -427,17 +398,17 @@ }, { "cell_type": "code", - "execution_count": 288, + "execution_count": 15, "id": "8f960e9c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5521, 4)" + "(68, 4)" ] }, - "execution_count": 288, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -448,7 +419,7 @@ }, { "cell_type": "code", - "execution_count": 289, + "execution_count": 16, "id": "2ab61aa2", "metadata": {}, "outputs": [], @@ -458,17 +429,17 @@ }, { "cell_type": "code", - "execution_count": 290, + "execution_count": 17, "id": "502da9c6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 5, 4)" + "(64, 5, 4)" ] }, - "execution_count": 290, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -479,7 +450,7 @@ }, { "cell_type": "code", - "execution_count": 291, + "execution_count": 18, "id": "479473d6", "metadata": {}, "outputs": [ @@ -551,7 +522,7 @@ }, { "cell_type": "code", - "execution_count": 292, + "execution_count": 19, "id": "2275b349", "metadata": {}, "outputs": [], @@ -561,7 +532,7 @@ }, { "cell_type": "code", - "execution_count": 293, + "execution_count": 20, "id": "026d6b61", "metadata": {}, "outputs": [], @@ -580,17 +551,17 @@ }, { "cell_type": "code", - "execution_count": 294, + "execution_count": 21, "id": "f9bba7f1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 5, 4)" + "(64, 5, 4)" ] }, - "execution_count": 294, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -601,17 +572,17 @@ }, { "cell_type": "code", - "execution_count": 295, + "execution_count": 22, "id": "e67cc9d1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517,)" + "(64,)" ] }, - "execution_count": 295, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -623,18 +594,10 @@ }, { "cell_type": "code", - "execution_count": 296, + "execution_count": null, "id": "6610990e", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [2, 0], [2], [2], [2, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [2], [1, 0], [1, 0], [1], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0, 0], [1, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0], [1, 0, 0, 0]]\n" - ] - } - ], + "outputs": [], "source": [ "# Compute persistence for each simplex tree and then calculate Betti numbers\n", "for simplex_tree in simplex_tree_k:\n", @@ -648,7 +611,7 @@ }, { "cell_type": "code", - "execution_count": 322, + "execution_count": 24, "id": "2ee98440", "metadata": {}, "outputs": [], @@ -661,17 +624,17 @@ }, { "cell_type": "code", - "execution_count": 324, + "execution_count": 25, "id": "32c4c556", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 4)" + "(64, 4)" ] }, - "execution_count": 324, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -682,7 +645,7 @@ }, { "cell_type": "code", - "execution_count": 323, + "execution_count": 26, "id": "42c5cc16", "metadata": {}, "outputs": [], @@ -746,7 +709,7 @@ }, { "cell_type": "code", - "execution_count": 297, + "execution_count": 27, "id": "09c1e6dd", "metadata": {}, "outputs": [], @@ -810,7 +773,7 @@ }, { "cell_type": "code", - "execution_count": 298, + "execution_count": 28, "id": "b462f9f7", "metadata": {}, "outputs": [], @@ -828,7 +791,7 @@ }, { "cell_type": "code", - "execution_count": 299, + "execution_count": 29, "id": "117e9cc4", "metadata": {}, "outputs": [], @@ -862,7 +825,7 @@ }, { "cell_type": "code", - "execution_count": 300, + "execution_count": 30, "id": "06e9004b", "metadata": {}, "outputs": [ @@ -899,7 +862,7 @@ }, { "cell_type": "code", - "execution_count": 301, + "execution_count": 31, "id": "d2e8ee99", "metadata": {}, "outputs": [], @@ -921,92 +884,10 @@ }, { "cell_type": "code", - "execution_count": 302, + "execution_count": null, "id": "9cafb97a", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Boundary Operators for Simplex Tree 0: \n", - "\n", - "Boundary Operator 1:\n", - "[[-1. -1. -1. -1. 0. 0. 0. 0. 0. 0.]\n", - " [ 1. 0. 0. 0. -1. -1. -1. 0. 0. 0.]\n", - " [ 0. 1. 0. 0. 1. 0. 0. -1. -1. 0.]\n", - " [ 0. 0. 1. 0. 0. 1. 0. 1. 0. -1.]\n", - " [ 0. 0. 0. 1. 0. 0. 1. 0. 1. 1.]]\n", - "Boundary Operator 2:\n", - "[[ 1. 1. 1. 0. 0. 0. 0. 0. 0. 0.]\n", - " [-1. 0. 0. 1. 1. 0. 0. 0. 0. 0.]\n", - " [ 0. -1. 0. -1. 0. 1. 0. 0. 0. 0.]\n", - " [ 0. 0. -1. 0. -1. -1. 0. 0. 0. 0.]\n", - " [ 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.]\n", - " [ 0. 1. 0. 0. 0. 0. -1. 0. 1. 0.]\n", - " [ 0. 0. 1. 0. 0. 0. 0. -1. -1. 0.]\n", - " [ 0. 0. 0. 1. 0. 0. 1. 0. 0. 1.]\n", - " [ 0. 0. 0. 0. 1. 0. 0. 1. 0. -1.]\n", - " [ 0. 0. 0. 0. 0. 1. 0. 0. 1. 1.]]\n", - "Boundary Operator 3:\n", - "[[-1. -1. 0. 0. 0.]\n", - " [ 1. 0. -1. 0. 0.]\n", - " [ 0. 1. 1. 0. 0.]\n", - " [-1. 0. 0. -1. 0.]\n", - " [ 0. -1. 0. 1. 0.]\n", - " [ 0. 0. -1. -1. 0.]\n", - " [ 1. 0. 0. 0. -1.]\n", - " [ 0. 1. 0. 0. 1.]\n", - " [ 0. 0. 1. 0. -1.]\n", - " [ 0. 0. 0. 1. 1.]]\n", - "Boundary Operator 4:\n", - "[[ 1.]\n", - " [-1.]\n", - " [ 1.]\n", - " [-1.]\n", - " [ 1.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "[array([[-1., -1., -1., -1., 0., 0., 0., 0., 0., 0.],\n", - " [ 1., 0., 0., 0., -1., -1., -1., 0., 0., 0.],\n", - " [ 0., 1., 0., 0., 1., 0., 0., -1., -1., 0.],\n", - " [ 0., 0., 1., 0., 0., 1., 0., 1., 0., -1.],\n", - " [ 0., 0., 0., 1., 0., 0., 1., 0., 1., 1.]]),\n", - " array([[ 1., 1., 1., 0., 0., 0., 0., 0., 0., 0.],\n", - " [-1., 0., 0., 1., 1., 0., 0., 0., 0., 0.],\n", - " [ 0., -1., 0., -1., 0., 1., 0., 0., 0., 0.],\n", - " [ 0., 0., -1., 0., -1., -1., 0., 0., 0., 0.],\n", - " [ 1., 0., 0., 0., 0., 0., 1., 1., 0., 0.],\n", - " [ 0., 1., 0., 0., 0., 0., -1., 0., 1., 0.],\n", - " [ 0., 0., 1., 0., 0., 0., 0., -1., -1., 0.],\n", - " [ 0., 0., 0., 1., 0., 0., 1., 0., 0., 1.],\n", - " [ 0., 0., 0., 0., 1., 0., 0., 1., 0., -1.],\n", - " [ 0., 0., 0., 0., 0., 1., 0., 0., 1., 1.]]),\n", - " array([[-1., -1., 0., 0., 0.],\n", - " [ 1., 0., -1., 0., 0.],\n", - " [ 0., 1., 1., 0., 0.],\n", - " [-1., 0., 0., -1., 0.],\n", - " [ 0., -1., 0., 1., 0.],\n", - " [ 0., 0., -1., -1., 0.],\n", - " [ 1., 0., 0., 0., -1.],\n", - " [ 0., 1., 0., 0., 1.],\n", - " [ 0., 0., 1., 0., -1.],\n", - " [ 0., 0., 0., 1., 1.]]),\n", - " array([[ 1.],\n", - " [-1.],\n", - " [ 1.],\n", - " [-1.],\n", - " [ 1.]])]" - ] - }, - "execution_count": 302, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Get_Boundary_Operators(0)" ] @@ -1118,7 +999,7 @@ }, { "cell_type": "code", - "execution_count": 303, + "execution_count": 33, "id": "b9dc1c38", "metadata": {}, "outputs": [], @@ -1139,7 +1020,7 @@ }, { "cell_type": "code", - "execution_count": 304, + "execution_count": 34, "id": "d68f8b59", "metadata": {}, "outputs": [ @@ -1149,77 +1030,33 @@ "text": [ "Combinatorial Laplacian for Simplex Tree 33:\n", "Combinatorial Laplacian 0:\n", - "[[ 4. -1. -1. -1. -1.]\n", - " [-1. 4. -1. -1. -1.]\n", - " [-1. -1. 4. -1. -1.]\n", - " [-1. -1. -1. 4. -1.]\n", - " [-1. -1. -1. -1. 4.]]\n", + "[[ 0. 0. 0. 0. 0.]\n", + " [ 0. 2. -1. -1. 0.]\n", + " [ 0. -1. 2. -1. 0.]\n", + " [ 0. -1. -1. 3. -1.]\n", + " [ 0. 0. 0. -1. 1.]]\n", "Combinatorial Laplacian 1:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Combinatorial Laplacian 2:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Combinatorial Laplacian 3:\n", - "[[5. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 5.]]\n" + "[[ 3. 0. 0. 0.]\n", + " [ 0. 3. 0. -1.]\n", + " [ 0. 0. 3. -1.]\n", + " [ 0. -1. -1. 2.]]\n" ] }, { "data": { "text/plain": [ - "[array([[ 4., -1., -1., -1., -1.],\n", - " [-1., 4., -1., -1., -1.],\n", - " [-1., -1., 4., -1., -1.],\n", - " [-1., -1., -1., 4., -1.],\n", - " [-1., -1., -1., -1., 4.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 5.]])]" + "[array([[ 0., 0., 0., 0., 0.],\n", + " [ 0., 2., -1., -1., 0.],\n", + " [ 0., -1., 2., -1., 0.],\n", + " [ 0., -1., -1., 3., -1.],\n", + " [ 0., 0., 0., -1., 1.]]),\n", + " array([[ 3., 0., 0., 0.],\n", + " [ 0., 3., 0., -1.],\n", + " [ 0., 0., 3., -1.],\n", + " [ 0., -1., -1., 2.]])]" ] }, - "execution_count": 304, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1230,7 +1067,7 @@ }, { "cell_type": "code", - "execution_count": 305, + "execution_count": 35, "id": "c5373653", "metadata": {}, "outputs": [ @@ -1278,7 +1115,7 @@ }, { "cell_type": "code", - "execution_count": 306, + "execution_count": 36, "id": "c7f60eaf", "metadata": {}, "outputs": [], @@ -1298,7 +1135,7 @@ }, { "cell_type": "code", - "execution_count": 307, + "execution_count": 37, "id": "e7b5c6f1", "metadata": {}, "outputs": [ @@ -1308,113 +1145,39 @@ "text": [ "Hamiltonian for Simplex Tree 33:\n", "Hamiltonian 0:\n", - "[[ 4. -1. -1. -1. -1. 0. 0. 0.]\n", - " [-1. 4. -1. -1. -1. 0. 0. 0.]\n", - " [-1. -1. 4. -1. -1. 0. 0. 0.]\n", - " [-1. -1. -1. 4. -1. 0. 0. 0.]\n", - " [-1. -1. -1. -1. 4. 0. 0. 0.]\n", - " [ 0. 0. 0. 0. 0. 4. 0. 0.]\n", - " [ 0. 0. 0. 0. 0. 0. 4. 0.]\n", - " [ 0. 0. 0. 0. 0. 0. 0. 4.]]\n", + "[[ 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " [ 0. 2. -1. -1. 0. 0. 0. 0.]\n", + " [ 0. -1. 2. -1. 0. 0. 0. 0.]\n", + " [ 0. -1. -1. 3. -1. 0. 0. 0.]\n", + " [ 0. 0. 0. -1. 1. 0. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 3. 0. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 3. 0.]\n", + " [ 0. 0. 0. 0. 0. 0. 0. 3.]]\n", "Hamiltonian 1:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Hamiltonian 2:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 5.]]\n", - "Hamiltonian 3:\n", - "[[5. 0. 0. 0. 0. 0. 0. 0.]\n", - " [0. 5. 0. 0. 0. 0. 0. 0.]\n", - " [0. 0. 5. 0. 0. 0. 0. 0.]\n", - " [0. 0. 0. 5. 0. 0. 0. 0.]\n", - " [0. 0. 0. 0. 5. 0. 0. 0.]\n", - " [0. 0. 0. 0. 0. 5. 0. 0.]\n", - " [0. 0. 0. 0. 0. 0. 5. 0.]\n", - " [0. 0. 0. 0. 0. 0. 0. 5.]]\n" + "[[ 3. 0. 0. 0.]\n", + " [ 0. 3. 0. -1.]\n", + " [ 0. 0. 3. -1.]\n", + " [ 0. -1. -1. 2.]]\n" ] }, { "data": { "text/plain": [ - "[array([[ 4., -1., -1., -1., -1., 0., 0., 0.],\n", - " [-1., 4., -1., -1., -1., 0., 0., 0.],\n", - " [-1., -1., 4., -1., -1., 0., 0., 0.],\n", - " [-1., -1., -1., 4., -1., 0., 0., 0.],\n", - " [-1., -1., -1., -1., 4., 0., 0., 0.],\n", - " [ 0., 0., 0., 0., 0., 4., 0., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 4., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 0., 4.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 5.]]),\n", - " array([[5., 0., 0., 0., 0., 0., 0., 0.],\n", - " [0., 5., 0., 0., 0., 0., 0., 0.],\n", - " [0., 0., 5., 0., 0., 0., 0., 0.],\n", - " [0., 0., 0., 5., 0., 0., 0., 0.],\n", - " [0., 0., 0., 0., 5., 0., 0., 0.],\n", - " [0., 0., 0., 0., 0., 5., 0., 0.],\n", - " [0., 0., 0., 0., 0., 0., 5., 0.],\n", - " [0., 0., 0., 0., 0., 0., 0., 5.]])]" + "[array([[ 0., 0., 0., 0., 0., 0., 0., 0.],\n", + " [ 0., 2., -1., -1., 0., 0., 0., 0.],\n", + " [ 0., -1., 2., -1., 0., 0., 0., 0.],\n", + " [ 0., -1., -1., 3., -1., 0., 0., 0.],\n", + " [ 0., 0., 0., -1., 1., 0., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 3., 0., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 3., 0.],\n", + " [ 0., 0., 0., 0., 0., 0., 0., 3.]]),\n", + " array([[ 3., 0., 0., 0.],\n", + " [ 0., 3., 0., -1.],\n", + " [ 0., 0., 3., -1.],\n", + " [ 0., -1., -1., 2.]])]" ] }, - "execution_count": 307, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1491,7 +1254,7 @@ }, { "cell_type": "code", - "execution_count": 308, + "execution_count": 38, "id": "848ef40c", "metadata": {}, "outputs": [], @@ -1524,7 +1287,7 @@ }, { "cell_type": "code", - "execution_count": 309, + "execution_count": 39, "id": "3a66554c", "metadata": {}, "outputs": [ @@ -1535,7 +1298,7 @@ "
" ] }, - "execution_count": 309, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1557,7 +1320,7 @@ }, { "cell_type": "code", - "execution_count": 310, + "execution_count": 40, "id": "686fc8d9", "metadata": {}, "outputs": [ @@ -1582,7 +1345,7 @@ "" ] }, - "execution_count": 310, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1595,7 +1358,7 @@ }, { "cell_type": "code", - "execution_count": 311, + "execution_count": 41, "id": "6c5a4838", "metadata": {}, "outputs": [], @@ -1635,7 +1398,7 @@ }, { "cell_type": "code", - "execution_count": 312, + "execution_count": 42, "id": "416033f9", "metadata": {}, "outputs": [ @@ -1643,19 +1406,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "Measurement counts (combined): {'111 011': 1, '000 011': 1, '110 100': 1, '101 010': 2, '111 000': 1, '110 011': 1, '101 101': 1, '100 000': 43, '111 110': 5, '111 101': 3, '110 001': 136, '000 101': 4, '000 000': 2, '010 000': 1, '100 110': 2, '010 010': 5, '000 100': 1, '011 100': 25, '000 110': 10, '001 000': 2, '100 011': 20, '010 011': 15, '001 110': 6, '110 110': 5, '110 101': 5, '001 111': 5, '100 010': 4, '101 110': 5, '010 101': 8, '011 111': 5, '101 000': 41, '001 100': 21, '111 001': 100, '100 001': 17, '011 001': 18, '001 010': 7, '100 101': 2, '000 001': 109, '011 010': 5, '011 011': 30, '001 001': 70, '001 011': 20, '100 111': 7, '000 010': 2, '010 110': 2, '010 001': 50, '010 111': 4, '001 101': 4, '010 100': 32, '110 000': 1, '101 001': 54, '011 110': 7, '100 100': 28, '011 000': 41, '110 010': 1, '101 011': 2}\n", - "Counts for classical_reg1: {'011': 90, '100': 108, '010': 26, '000': 132, '101': 27, '110': 42, '001': 554, '111': 21}\n", - "Counts for classical_reg2: {'111': 110, '000': 129, '110': 150, '101': 105, '100': 123, '010': 117, '011': 131, '001': 135}\n" + "Measurement counts (combined): {'000 010': 1, '001 101': 2, '011 010': 3, '111 011': 1, '011 111': 5, '000 111': 1, '101 010': 1, '111 101': 2, '101 110': 3, '100 010': 3, '010 000': 1, '100 110': 1, '110 001': 107, '011 101': 2, '000 101': 2, '000 000': 1, '011 110': 1, '110 011': 2, '010 010': 3, '001 100': 27, '101 000': 48, '101 111': 1, '011 100': 19, '110 101': 4, '001 111': 6, '110 110': 6, '000 001': 98, '100 101': 2, '001 000': 2, '111 010': 1, '111 100': 1, '100 000': 40, '111 110': 6, '010 101': 5, '000 110': 6, '100 011': 20, '101 100': 1, '100 111': 6, '111 001': 122, '100 001': 21, '110 111': 1, '011 001': 22, '001 011': 25, '011 011': 17, '001 001': 50, '010 110': 1, '010 111': 7, '010 001': 57, '010 100': 26, '101 011': 2, '110 010': 2, '001 110': 3, '010 011': 36, '011 000': 51, '100 100': 26, '000 011': 2, '101 001': 88}\n", + "Counts for classical_reg1: {'010': 14, '101': 19, '011': 105, '111': 27, '110': 27, '000': 143, '001': 565, '100': 100}\n", + "Counts for classical_reg2: {'000': 111, '001': 115, '011': 120, '111': 133, '101': 144, '100': 119, '010': 136, '110': 122}\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 312, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1705,7 +1468,7 @@ }, { "cell_type": "code", - "execution_count": 313, + "execution_count": 43, "id": "0c2fd57a", "metadata": {}, "outputs": [ @@ -1725,18 +1488,18 @@ }, { "cell_type": "code", - "execution_count": 314, + "execution_count": 44, "id": "11f96fbf", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 314, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1755,7 +1518,7 @@ }, { "cell_type": "code", - "execution_count": 315, + "execution_count": 45, "id": "cde72f6d", "metadata": {}, "outputs": [ @@ -1806,1021 +1569,10 @@ }, { "cell_type": "code", - "execution_count": 316, + "execution_count": null, "id": "2fb2dc4c", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[[1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 1],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " [1, 0, 0, 0],\n", - " ...]" - ] - }, - "execution_count": 316, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "Betti_list = []\n", "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", @@ -2833,7 +1585,7 @@ }, { "cell_type": "code", - "execution_count": 319, + "execution_count": 47, "id": "6c7ec0cb", "metadata": {}, "outputs": [], @@ -2846,17 +1598,17 @@ }, { "cell_type": "code", - "execution_count": 321, + "execution_count": 48, "id": "f60628a5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(5517, 4)" + "(64, 4)" ] }, - "execution_count": 321, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -2867,7 +1619,7 @@ }, { "cell_type": "code", - "execution_count": 320, + "execution_count": 49, "id": "de2fc7c7", "metadata": {}, "outputs": [], @@ -2875,6 +1627,16 @@ "np.save(\"betti_numbers_alldata.npy\", betti_numbers_all)" ] }, + { + "cell_type": "code", + "execution_count": 51, + "id": "07d1ed1c", + "metadata": {}, + "outputs": [], + "source": [ + "from qiskit_aer.noise import depolarizing_error" + ] + }, { "cell_type": "markdown", "id": "f8724ca3", @@ -2900,25 +1662,26 @@ }, { "cell_type": "code", - "execution_count": 317, + "execution_count": 54, "id": "15f72fde", "metadata": {}, "outputs": [ { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'qiskit.providers.aer'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[317], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mproviders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maer\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mnoise\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m depolarizing_error\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m plot_histogram\n\u001b[1;32m 4\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m3\u001b[39m\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'qiskit.providers.aer'" - ] + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "from qiskit.providers.aer.noise import depolarizing_error\n", - "from qiskit.visualization import plot_histogram\n", + "# from qiskit.providers.aer.noise import depolarizing_error\n", + "from qiskit.visualization import plot_histogram, plot_state_city\n", + "from qiskit.quantum_info import DensityMatrix\n", "\n", "n = 3\n", "qc = QuantumCircuit(n, n)\n", @@ -2932,18 +1695,18 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 55, "id": "5e562416", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 54, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -2996,7 +1759,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 56, "id": "5ef68f98", "metadata": {}, "outputs": [], @@ -3021,10 +1784,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "id": "1f6e8455", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "63\n" + ] + } + ], "source": [ "from ripser import ripser\n", "\n", @@ -3109,15 +1880,47 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "3c423adf", + "execution_count": 60, + "id": "dbc2c340", "metadata": {}, "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "3c423adf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "stock = np.log(pd.read_csv(\"sp500.csv\", header=None, usecols=[0]).to_numpy().squeeze()) \n", "#y1 = y1[:2200]\n", "# #y1 = data['Close'].to_numpy().squeeze()\n", "#y2 = np.pad(betti_distance, (int((y1.shape[0] - int(len(betti_distance)))/2), int((y1.shape[0] - len(betti_distance)+1)/2)) , mode='constant', constant_values=(0, 0))\n", + "y1 = stock\n", "t = np.arange(0, len(y1))\n", "\n", "#data1 = y1\n", @@ -3231,9 +2034,17 @@ " Implement a quantum TDA algorithm for persistent Betti numbers. Esstimating the persistent Betti numbers is a more general task than estimating the Betti number and it is more practical for TDA. It is an open problem to construct a quantum algorithm for the persistent Betti numbers in a way that is preferable for NISQ devices, and the only current implementation of a quantum algorithm for persistent betti number is shown [here](https://quantum-journal.org/papers/q-2022-12-07-873/pdf/)." ] }, + { + "cell_type": "markdown", + "id": "862007d5", + "metadata": {}, + "source": [ + "# VQD" + ] + }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 62, "id": "0de4a8f2", "metadata": {}, "outputs": [], @@ -3253,7 +2064,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "id": "fe4b0f0a", "metadata": {}, "outputs": [], @@ -3297,7 +2108,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "id": "5c826f0b", "metadata": {}, "outputs": [], @@ -3348,6 +2159,113 @@ "Betti_list_vqd" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "34ae870b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "12a27eec", + "metadata": {}, + "source": [ + "# Laplacian" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5db7711f", + "metadata": {}, + "outputs": [], + "source": [ + "# Bonus: Trying the map the laplacian's eigen values to Qubo, Approximating the lowest engeryg states of the hamiltonian that\n", + "# encodes the laplacian matrix\n", + "import numpy as np\n", + "from dwave.system import LeapHybridSampler\n", + "from scipy.sparse.csgraph import connected_components\n", + "\n", + "def laplacian_to_qubo(laplacian_submatrix, m=3, alpha=1.0):\n", + " n = laplacian_submatrix.shape[0]\n", + " qubo = {}\n", + "\n", + " # Rayleigh quotient term: x^T L x\n", + " for i in range(n):\n", + " for j in range(n):\n", + " coeff = laplacian_submatrix[i, j]\n", + " if np.abs(coeff) < 1e-10:\n", + " continue\n", + " for b in range(m):\n", + " qi = i * m + b\n", + " qj = j * m + b\n", + " qubo[(qi, qj)] = qubo.get((qi, qj), 0) + coeff / (2**b)\n", + "\n", + " # Constraint term: α*(||x||^2 - 1)^2\n", + " for i in range(n):\n", + " for b1 in range(m):\n", + " qi = i * m + b1\n", + " for b2 in range(m):\n", + " qj = i * m + b2\n", + " qubo[(qi, qj)] = qubo.get((qi, qj), 0) + alpha / (2**(b1 + b2))\n", + " for b in range(m):\n", + " qi = i * m + b\n", + " qubo[(qi, qi)] = qubo.get((qi, qi), 0) - alpha\n", + "\n", + " return qubo\n", + "\n", + "def split_laplacian(laplacian, threshold=1e-5):\n", + " n_components, labels = connected_components(laplacian > threshold, directed=False)\n", + " submatrices = []\n", + " for c in range(n_components):\n", + " indices = np.where(labels == c)[0]\n", + " sub = laplacian[np.ix_(indices, indices)]\n", + " submatrices.append(sub)\n", + " return submatrices\n", + "\n", + "def quantum_annealing_eigenvalues(laplacian, k=0, m_bits=3, alpha=2.0, tol=1e-3):\n", + " submatrices = split_laplacian(laplacian)\n", + " sampler = LeapHybridSampler(token=\"cSXm-453996d6c04705a310ac4272cff7149594c32b5a\")\n", + " eigenvalues = []\n", + " \n", + " for sub in submatrices:\n", + " qubo = laplacian_to_qubo(sub, m=m_bits, alpha=alpha)\n", + " # Remove num_reads parameter; LeapHybridSampler does not support it.\n", + " response = sampler.sample_qubo(qubo)\n", + " energies = response.data_vectors['energy']\n", + " \n", + " # Print all energies for debugging\n", + " print(\"Energies from annealer for a submatrix:\")\n", + " print(energies)\n", + " \n", + " min_energy = min(energies)\n", + " eigenvalues.append(min_energy)\n", + " \n", + " eigenvalues = np.sort(eigenvalues)\n", + " return eigenvalues[:5]\n", + "\n", + "# Example Usage\n", + "if __name__ == \"__main__\":\n", + " laplacian_k1 = np.array([\n", + " [3, 0, 0, 0, 0, 0, 0, 0],\n", + " [0, 3, 0, -1, -1, 0, 0, 0],\n", + " [0, 0, 3, -1, -1, 0, 0, 0],\n", + " [0, -1, -1, 2, 1, -1, 0, 0],\n", + " [0, -1, -1, 1, 2, 1, 0, 0],\n", + " [0, 0, 0, -1, 1, 2, 0, 0],\n", + " [0, 0, 0, 0, 0, 0, 3, 0],\n", + " [0, 0, 0, 0, 0, 0, 0, 3]\n", + " ])\n", + " \n", + " small_eigenvalues = quantum_annealing_eigenvalues(laplacian_k1, m_bits=3, alpha=2.0, tol=1e-3)\n", + " print(f\"Estimated smallest eigenvalues: {small_eigenvalues}\")\n", + " \n", + " classical_eigenvalues = np.linalg.eigvalsh(laplacian_k1)\n", + " print(f\"Classical eigenvalues: {np.sort(classical_eigenvalues)[:5]}\")" + ] + }, { "cell_type": "markdown", "id": "c098599c-7ab0-48b1-9e33-51d22502310d", From 40c02b99f18eb86fb142119356827af0fcf1013f Mon Sep 17 00:00:00 2001 From: jasonhan3 <98669315+jasonhan3@users.noreply.github.com> Date: Sun, 2 Feb 2025 11:08:44 -0500 Subject: [PATCH 5/7] slight change --- moodys_challenge.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/moodys_challenge.ipynb b/moodys_challenge.ipynb index 96ed282..93c207c 100644 --- a/moodys_challenge.ipynb +++ b/moodys_challenge.ipynb @@ -2227,7 +2227,7 @@ "\n", "def quantum_annealing_eigenvalues(laplacian, k=0, m_bits=3, alpha=2.0, tol=1e-3):\n", " submatrices = split_laplacian(laplacian)\n", - " sampler = LeapHybridSampler(token=\"cSXm-453996d6c04705a310ac4272cff7149594c32b5a\")\n", + " sampler = LeapHybridSampler(token=\"\")\n", " eigenvalues = []\n", " \n", " for sub in submatrices:\n", From 5470674ed3de66d16a9add149d7dd773cd6eb054 Mon Sep 17 00:00:00 2001 From: jasonhan3 <98669315+jasonhan3@users.noreply.github.com> Date: Sun, 2 Feb 2025 13:00:29 -0500 Subject: [PATCH 6/7] updated notebook --- betti_numbers_alldata.npy | Bin 176672 -> 2176 bytes betti_numbers_classical.npy | Bin 176672 -> 2176 bytes classic_test.png | Bin 0 -> 42148 bytes moodys_challenge.ipynb | 786 ++++++++++++++++++++++++++++++++++-- quantum_test.png | Bin 0 -> 42384 bytes 5 files changed, 759 insertions(+), 27 deletions(-) create mode 100644 classic_test.png create mode 100644 quantum_test.png diff --git a/betti_numbers_alldata.npy b/betti_numbers_alldata.npy index 4a92d058f3a6bf5aec0bdac136d33880929e7756..a0f236099b88e2d0ad1d762b0f2887664a83ff61 100644 GIT binary patch delta 45 zcmZ4RgsVYtf-RGo$wWuHjkU@w(;X_A9!!4l-T{ae7?~$F%1=Ka%-FDefiNQz0G1I$7kQSt2knZkQl}(Dw8oN5#Il9_en^3!(JG)prI`DA3;^N?9qqcH&b#f8n8J`5f6(>K&@3U}iKbKTmU$Eizto+L9h zi|=yWGa{F6e-*xS^2BNjh}_0+D!Mf2aUg-G2LR^J93zbXy#rRTP^b~_px+=6bi|uz z6DaWCx3Yzz>UTSeN~9NEzFK8k=v7oINI)L!ru4^W zX5@6%O6nFfAMZBBL&dNG=yMay36$OXR_Yp}BGH^w=% zUR&JkmbGpDB{HOAKN^+ij2YWjw-4Ck8A{>_b`%g07-NL{zP()Vpd$L?*m})i{T?Va zXh|+@I%t%HV*=DYFaQMzv0G^TF(|alwlkK8!>(5!&BDU+XR5UM@&Mzz8 z!bb7Wzo46`E|FJP-&jjCBydFIHU`t=qeL%=e zdUxD4HYEO7eC1uPe)K04zh~WfB%WQ@*WmV~k8``c<5||;o?Y+2Kn}jLNQ{h3&fZK_ zFh}#z+nt#z#>c07$?49$%+>aD{BYBGzsrShyR1>KSI{{+>l~Lja!YciXy(sRfo%Q| zFt#McZufW$F1s=fV%jA~yQl*C)w=I*&a-A`b-b5@h_;S8aPs(UCsoYNa}pa{Hj-_( z4g(&AiQgs5B&cNlp}2q*3xbXxch2ty5}wLep>nUQ|?+1#bUW_q}O6x6@to+b zMz^v29f#Dwbg)yy6X6O)s^_jZoh;Zl_)j=1IWb!Vrv zKL?KZom2N}B_EIF;8P!aB6giWQtX}t{FX2RjexGvn9pd~D<?`NPt!yhdd9_ix*O^55*SI7$WXI z>pwKDrpt{*?EC(tws%I5UEjyZP%?j$TD~}+GCVzhdU37ooj8G6xe+55%WypOX9vkN zA{DWj_S66b$OOz*LPJYsy^el8+5SrA@Xus3LSQlD`gGIf)!$^iY`+EK|)B?)lF zo)jSy{K-7)%nU**4mI!iip^^~$;QEP*nFz=Fr%Gj^jZsrPjyYt5UkL#Tjaa|R9Me_ z#=LoO4-C7wn#DFH`?IZ)(w9DnrY6vcFc>IdrZu(zuZ?Cf= zTuk4$w7h)S4Xi!x4U~I2Uy2|i+u5;5lYq3d9|R~srGWuJjIKjN&|Gr)f%fDtGN!-1 zY#MK+hUfjT4HkV4MGH$yFT5fr(B2u>I2Vs4v`kr49d9M@n)e&=bFn?Qs?hpG33pql z^qY4X64f_273XXye`a8j!|iin_mJrJP-(>+=3eP?Zh5%aa+mIgcB_m_!es=MRmAzD zUCe{oe^?bsV&4}ERKkBex_x&6FACu20syL4znfPEMNSpcrQ?*4u8+H@8WOSA6+K4f z7)M$z7yDWc6Myu>10H%9t+;GSn7b%_*v_{`J_~4--@LZiKRFvycHtCdh}MclJsmXV zXULL?+Bmmc^1o$wwDCL}k@-v+aI)6pdeE>r8mlbUV|$+XNF_hRO-6h{S{3*H-N%ow z9z}-4ZrQ|@-SrdKv4o#hWf^zQ6hB01H*pz?T_jCg8W${OMGAe(t4z8wVHl(GJHsQI z+!IAou;b|?V=zb>dU>i~R^Xx`P7+yR+BGVC*xWI8@Pxt@w@nG`M$Xe->Zi{T+w&tOrBAI)S@fKs&KtuV*=03Cpb_jtdSI^IiL$x%j<$^w9AR-b|4Zhz z{$5mHpQ!uiDKS^O+v$LS3oGeM^B&5oIBsEn`GLxPFlQ$>MefzwpEfNFmS}!`M$tRe zQe8dn_8Wt--v4?%Aw;!3d>}>Oi9!#h$Nb0n8+uyW&jDYtIO^NaPlv=$r*?ODz1}6K zJ(=Uw74X0FOn)2y+s?(I_MVVC0RooF z=Bl@2K1M5!^YtGQFado134Fn-akMR1@Dzm_FX|5CQ9@l^o$kgJ@qf6;?uUy5$YSg1 z0hekd=ui#xZMj?S$N`@l738-SD|Mvz)fQ*ET_<;H^0v>=b*;j~a z0=`tA{=a-B>mTAb0MgM|yx-Z%rS8_yjzuAl?pBaX*XT!DZxyC^`$d_{fYz`4leMZ+ zZ_xDlyr|RsjW|b15xo|Cp=2yvbCk?aLOD4X-UZ`u(6d7z z)7TXU({DN{MVSW7-klY|9KMciXSUhs(X&NC@K}uT_=Li+HYR ztt52L-V^UOC`=}FC5~imZEZYtXnm0ViH+8r_#6*T7AB;=W*Pk^D*G7_YBq7fkjz#7 zXR|@>v;21J&}8%^4A`^aZ9V1KPZEp`7xhuyu9;F<3}sYJe)h-&xOpz$vY!oW?jp6u zrx<6vsH0L$%Iyvc7e9TNR@5BQm(p48V11VJss&4;^!n_QwDDqpX=`#dcvL)!7}wd} zP3?)|%_U9p>+&xKEmnGxn`eC&XhQo9=DdEsj^6*q-{b8g!_+(M_|@d)!>(S7il!}P znmZQd^iloZi;}7OtCYqsqaLtTfQ@1#@Ox(DjSt-Wo8ue^5Ry|IfBLx?8FrD|`-PnUR{V`1e~= zV>t8Nr)R?{NZXPj@-%*X<{R$qxxPLzDy`ye(Z6ij{10vP#k@?iEFTf@%uBBsxy4;6$ zZH#f8n?18Ghadz~mUj z@2%yt=MZoge;%Jtb&rfo=C=AVKRPm=Zl0l{s=Kd7@c!Gqjtl5rx^k(xTu?seY@zdM zQ=r?g-!ic=Y)y5YnTdO4Lm;TDTX563Yc=F|89Qc^W0rMYHDuNIm?lexlOowv+Lo@9 z!1gjB%T^5;orC|W|0e}2F%{h}uRoDn*4LD2~`@WEP|Zpd|K$!uKD>`W@fS zpv_sFH$BzB_v;XD3*8+eSqgUNtsX1poE*(<)bRG3;lH^XT5vu74ABqEcx_ZuH*_?VfARW{Dlmeo#w^Zoea(gOhmaQFRORZNFZTkV& z5v)~UgN)a&<47?3HhpPJqSd?Md8FOO)e53h;3XBL&# zc`Q%}0&5qVth<7UV%+BVM-$>y4igM>!(V>Bwq+|!bo&>m?y_q?-e7@kpXN>aLG*!m zo!p(+n#5wLVzadAs-~A%@Vj?^b6B$Yb)1gaZTOy>TlHa1!d1jmG;R%z6CoMXLj$v& zi4^C^*PljjZ4Wu?J!wO*vkWDbJjsjDGe&6Jp9dXXuSuP!_R_-Mqgx_EkZCm<^0(Ul zBJ_=+B@NfGPiwu#+#@A7H4sbgV@k`{d_xMR#E#9ov0x5v_SP$tcYXcYvp$Deol^#z zH03563Y7x9-~BwWXD;?$>JB*A_^x7CPK-zYto(FyciARV!xrTB;_`M&qOf&Yni93R z!5$4e@$tpBi?jNz-9}JYzUf4ny6^RR;a=T!R#bu8vB^6g(gNoTws%yoqq$`wGAnf* zawnyh-k%0jsm@iJi*Q@bReWCBdUENbJzjMv?5Nfm{W7i>-6TsMJ3}TzO0AC&-8i5} z8+j|-1qD};8UU`LfDL-Wf)YE3mEY3{{%~`Sg!eE~@d`lWtd5T3zmY zsGQzXsemVX6}-f;tKfH|a;W*xmt`EtrJ=3@*L;-GReB)Pu5;Yf?=qj#m$4as=;N&3 z-6_(x`l1tX73ke|MMLt=cYyDQQBg_GtajCvdk>$c%Q0gHPZHB%z3KJ9y6g9r+W2B& zkMH)IN|guGa`y7^N3xrxwxvJ)4_jnznng0z%OGcA-6RC)bo8!|q)^KrHF)sS>dSc!a-(Gb8aJ-eJ`I^0G#MZN8VM5n?VB*_TI99I0&%!RMO^V-ociZP? z`T76cUwJ)V2Bv5d8~nRZot ztzyccly-K((t^jLoKjU1_r+Y)H_m3REgg64r1Akufk;dx;fUVSwn*<5kzkp(_H!O8 z1L1Sm52`O5iOM;|^xL0BOaO%osBGT^TtRFIayuE)R`(A+HlEjQz9|?lCVhX6#{4uo zw<(Q$)=S(%RrX#DGt3kF#+VsfuR8kc!vh(%PIdH6>p8;*(F>+BB3=TbzFFmi5gE0O z>58>VEvrL(WmVpChxwfphYkPFxe(<1rC=&2Ly7pv1%7){w^GA0Pq;|U?fr8O4OUCh z{Q6%VDq6ClaL-S9k-9`|8DGJSQ`ea3) zbyD*LaCM{x_(qd@Nm+L zEuR%4JpPuu`-7tCED3$@bkSs1Vm5Zehq8d<{l+fJyxMi~_bktg8HUIp zuI_47&}%#;M}7DmDYW4>^1>6ucK{^ONb670#zsod$aMGaRqtVanzz^`TiK?|j2#%G zw)tL*o4)Kt=X1AbJk{6rs|DLFmtH%y|N42DeSZH8eISk#^yXEji0zZAd3^AYv{pUM zl&U@qBD!+_>v#FhWI#(p+Rq>$f*XgNRa!=OBY?fHBRZnPv^8k&?i)uvEc55T@G<6q zUIPDxBFE;KsTaAVzidvvbnQ$5LdcWkon-WI<@pG?T_QLv2hk^bp z_LgPubOw9F+Ef80reD1lL_V1rL1TGp523C0m&M1Km#KnrJYL*~qb02uIqQlBhs4!%q|rWbvudc^R}G!)Q(n$1Zr?YHxvvz>q?pupx6YdxdW1f%{u`5_{3cuPISaz35 zEJNN7)%po**V@td@jKlTFYfP>=ue%BM+M*cDi9|ud1GC^EKYj$S+~Yc ze3P7|^-PsT=umIg<#NI7VMDi-|8m;2U?uQY4xUo9V`+BrTJ#{jN4Pd=nyv8&X(B4d z4i8Gt&ujyN52k{T;UY-H_Sn=Q?F$vdg<-(vzW3LsDZ`D@N<|;sWQJ=FFeo)ob-6Q! zhVn*PA9~0*FT@_GxH+|;lO=QAwYHkjvNvBjIHRHxSz8_&%WHX%W}ZalJ;43n)?A81 z2jITHZJ%6L9Ox0c@sbwYP3jgn-Bc&$be)1k<__E^5^JHeZo_#wrI!!(39335t|eli zIspi+l0(85<#B;%Zz#Y3+lUhXsGMz7;~yp3x%=3N&!#$aw4poSm}7r@xpLZ=O3rlksSVKHX(1z~sbHX(ChBH-zy6!C4 zCcH~+ykHiUT$qg5UJ)tAd_S{&4oANofJs6i#FmL|`ulcu>~cL5nxUs|P527al{zi) zLv7Ti=BPR06ice zO*LL<9^A0#MX-gE-^_vs`Xe^y^(3sBUnq$FSi#u!I2DQr3PcUT$Np_p-Tp1FlH z=I?{thoa))l);38Kpnp=;3l_)oX>_zzFl*=6pR5*snp1>kgk~cvW?j56vvRKXp5=1 z5!c+qXm)z3t@VjA5Z%_Rw->isjmd6-Jc$)p(_gc&|7OydUZod8VseKF ze<aI1WJq){r2?jC&Cg)tjxiU_UlbILUnyeOKPtmU%j~Id^Wy3-1>y zo;+-I5h(V|za7Gtdu6I6tCnj=RQ{b5N@6n2=)I{zixeUR1z;l7z^dfJ-pstnG_Moz z;&GKKRE#2nCdd;0mrPGf#%VWGs÷X?Q085K|A!QCp3js6*hb(&GD?~Q{PhU8VV z%`H%f*P=%I4IPjb1&;>oUfDmasW}+vc|G1IUmPP7ycgg;wKN-VJ2IJ;O|Q!OEKrQT zQn5Afa&@uD2#=$9qd;IHIj9_sfyAtV2Yt-NX9w#mO(`UN&$3LK;^luuD*RRCq{gi1 zsY9#2>!O$M7qTsXF0#bxGgrzU+sEy^Xj|O`4th;X#=2rTDxtV<9E~9|xa_-=Fbe0J;MPpXm;z|Cc?Vi=!B`oGJa3tue@} z-zs|jWN(RY4SZj%=`5oEVfaDr$9s6kM?k1Lf=YC>c_DTkSB&Q!3X|erT|_O$BO|7d zg=XWmJB|F)LI4C9IW=Iaa1;G2yKgY}+wH-si`kpYAgL4CvbDp6hw@CzD*C? zmh~#*q^cDwoZUighIH?AB{XXe*(al~otWq_8=1Fn>wRxh3<2i+zy zX+>%<-3s^jgGr$PG!vw0pi<%M=IZ^bzt}LZwzAgZBv167JxL;B!`*$nGp0wPPcR&; z+XX9Bij)kd{2PzbCFpSopi^g0+tNqTVxwR6H8m}*kYa3EwpEV$9gTD06i_G1g%-O@xKndt@WLWz~He&WJwIn443+=P=?81b{VACWJoihI0pv z20wjiDUU@ISo~75_)$35_D1tvXSuQZ^{`#*!qv_0_|;%jWn>SjOkr8mBKzyH`AKuP^J{6Uu)>6(g=T z*O-{+<_{+QGTWC8#<6 z2}#AkXSyx#2(jZYY&h3=(7Q0k_xh&w>~Dghk{4sTtXZAfdCk;!x30(xTiw=V<%qJD z!8%sUq0GCsG=-Z_NR-%ikLy#3iV))%#ogL{6HKkCB7yC&upSM4#eq|?r~}XE^f^D! zjp_-C+JG=+Y-+@Gu@1@}xDve%t)Vaak4GHCn@yWHhL(-g-m*~E!?~p+Rw#Z6KYB^E z4;saPTJY#pxP0KuBl#xmswKkO0<~BuH7$5m#e064br+Z>i>9<;BH7`r+ zu;_%@5*Fvt;ATh^V`zwV9)_gP-T_xz;xure5o*J5A0U6fn%yzVAygl=>)=XF&sVmRY!ND>ZAO zeS7>B9fV2GK@=VGDrd@|Bg<226HXMvTwhTf?k#rvl%%N8Q)s%ceTxAzE=ehGn%Lv13fxSTt6lL7wG|%0nLX&n>{a# zT_o~HT#luWUK03Xd|rO^z9NP85DWApp#gvJ4%-L;SfUXVGdK$N?5<%;Z-n6S{+o03 z3}(l7Ned|XxWu!%KB-aYz4wZP;65w3c=?MPRUL;``{hq}qH=3y|~uj-r8YRh<7%fd8EmEXQNUHqgl0hyh4? zV!X{al^=@~KMqtrGm=Kbht0JhNx~Ckf;Q77Zqt3zv3|*-WK?g{O>d6rU}rq;euSeS zfogp;hH5)NC;0OZUYX$dZcpV$T5v*++IgK>j}?c+!Md+nr|Eeyb2n|rQE46~teTJV zrk_seCa)N4`tn?B2+3l_@TOI^1qGCGo`4y!K&;`C$ag^9YHv`^Rp^JYA}t%ty=pyI zYSWr#aG)eE{})|e4l6yl*y26&TT%VY-N*UOe-DLbR8d~{JyAfX`*YcZRbxUf0LlQS zlBtgU4ZVz02`fcY z@j6r5J_Z0pI=~#BouZn#7VAh|+}wm*nqG!=hZ1u6-F|;xhD99Mo8*fU^_II0n&T4M z!WSI+nEYM(r9>#(;}8`G4PykZ^mE8rfO59MCs5s_JzgsIw-Y*H(h+vmN|;OcImE6{ zpWxqbydgdI!!Bzjy>vl?_Lb+xgvZco{~}Hzl1@jvDC@!Bc~rQ+k+WIzMGYA=%WRHS zj%30nw>#5Yp@k`-N)Mmdo6^WF-OLS2?);ZTyo|tY>mwz$&Pj{s?)_52^=U&F1(j1v zRaI;5~ny!xp7{ZFu1g-=w< z@*n`9fjyK3$?rsoA;v7Sw^4oFBeR7LDCLez8F*0X&ZFfxF*9^WQtRuLu((2qx&?BUi1*Y7 zr?&tS@Le5vxBO`2dqeUF2;=`Pa_$i8e*XFK8O5%k8?y z4m^p*W9cQ4!$+@*jX7Y+B!x->5Mbdwz~Ax+LC|v~qLijKuRy)DcW8*nu_G8q)9n$k ziuuGdwAR_rhBRGq!}<3xVR8*4ceGeR0v=2IEz1b$kBXjxU@+BSU5eO^*70#Qj2QCt z<#-%AcQC8>f7K{s4g;#|##h6xD~+1>sDJJ^l=$j1DCqy4OXjmx7e@nhI>w8L*5R%+ zON*DkProg3Ms&-u8xg<7d>sccC+tP`R)i5?{r@6v3iPRLlD>Lw8vKgXeo&K_)8l;B;t2w*I3+-U4ba29`j|0BYI?}^ z1NTqj3*d~XY*}wU#T?2Zrx3Bz_?TuDujbU$sm&>~=KD>s>|E_~E=vA>Xm_ctc`x$5 z2}>&iom%=A1fcmV(433s%%GHEygP~JTQam;b}hnxUX0mD2n_!Kd243N6EhqA>X3^T z-e49gU+CoRpAfy|vM1C5N?%{EbWw7DxkYj>)t2yq`+jG!0Id-sx3hfJrb<)EQu^-v z=Z`Bc-0=x&zD=+iU1Z`=#3;`na3*To?(%~|4Lbfa4Xg$sq56`r0!!r?J{Xd@ zz|xK zSGmQGs3gLOMP(+rfT%_AxL znl`mh@a@Y=yP4mNapR&JwO+j<2cDO$q6}lI(-m&o+G{&|bbTA_ z*&y+_WEtf~RQ^~ajgJmMIlzXM%{7D1c;pRb$aWv9kH|CZz$APFc(WPNgaViZ={_9b z_MnUVgEWpBAO079vUSifkaPh`9j&ONu0oCkPUkkGHrPhpRzEQr1`!=!5)-k?3OYKZ zANswcN4a?#9xd|K%bEC-QzWE;AK5RHqKgvw!p^R*=Se$j{hpApu;#C{`utr*<@prp zL6Px>t4V{oaB6~E+Ux8Y9}IxWf?OwWSpmH1D&|5y?Aw zzc1N(oX~*8D8ne9gOB3F+xa^&GWFC1kwkU`sko56D|um%nAt{a6anN2DdgOH8MT*`r_)aau_P9EJ>=Vj zu=tu?Pg?n6W1i@RO?vSXG825>-ljsf0xdm3izC1tvQ&HnToP$HW$kBH73Z%P%T zXxC4sqbZi?6JAE?6|~D-^ZZE*>s)M+OGxS44AkX!%+;bz)(^h&)n{~J3IU|mkwX}8 z0jL=mTEJ_zeVy~84iW6RyB@~zyBU#(<}n*Laf7=SpR~R=+sHQ_UTxp4slPEqq2R%e z9Z*JO)RBo-<){%^);Pvy1VBx?NrmIzJzOgn25gZ0$BfOCrzeZuB$A(>n~6FJz2|s; z;h&ZNuehqQSyOhRkpAs&DS(88_N&_M$@+MOH=nX;*YmP=Y^n(!5?8Yt;f`XrUW1}e z5VFJ^&sN%>{a#_OuA6w_GAza4uCe1L zy=8PFm;R06|0R>k1VDkr8%N`@yIz%jpcJgR-bV&qFZq3zZBxVdr<0>KGB}w-W$CgV ztj^ob2?3d)=GuM^ztd2}@vDg}d%XDCvHf%GBFigae7NIup=zK81+i)r3ixR8Aw%1))_2EcbI4eY6@Hl8 zpmE}6fcDCL&o)nLch~AR=FV9qJOnUmDqbliK$=zioUDxIHXsYXMb6wE~!p~9cv?`_>=QQpH*Y^aZ`Bt+5fnr4oI!k0=7ii26&2R{1K1S$N2hB(9($$6`pTfjf3a zIe#)Zmqvo8;r6|9`VY}mSq!L}xApNKW?2&2=iVxj$eorZ$qvDJ;t5NNvKWc}@Jrxf zAmUs78?duN2{|LdATnhomcoN(DIM!v3~#$06U6E@lH-74T(`+UGN1Z~5Am&l&v#$xVg^sYO!^DI1Q&<}_spw|WxVkzq z?oczfZR&G8<>2DE$3&I~Kb^B?4Nwa!3guvu|#yX>0ZU=jn= zSTp+VHrGJ!77`)p8!gg$`)yT&Cy9bK1b>l!MRAR9o_gP6@Oe3lAh#f?6u?fGo;1QB zDhaVNnkTuDU2QW^p8-NrjU<^e1K!AYE(>@P78h)3VgBba$X+N%BV|)#=^IKcgZv+l zJ;pvdP<;T6Gw6WIWE|d~L~T!la|T?J0KO_-E_|3BjjU#vja&5CdT}gc1j|q$8@XdO?r8IyQC3aMlx$#|YhX7b8@978y?nO3#v9SXz;FaNHOy zL*(u+=Gh}-rFhVB@HYsK2#5|+fm=M)K_*U-qweI=Z#SXs4q5h1nSgxls5Hm27h8U` zIz48LZdtTF#>HHAVJ(0>{V>L8Ux-(h_V$>(A0+yL--zSL-jG7ANnh(xWVmVa?bjdC zIPcBL48{}M_})@z-zJ=1-!Zy$Ywwal!mH6#s4D(LYG9`X^3{n zmQPHML}GE$`Pj2>pPXL1M7V7Baz|fGzV3yik~^0$&UUHx#YijPTS8NUi3?-RT7O5(s+~thbeahXJ%~ydj<(F!E^uhHnZa5?9A=4D<3ig zp9no;)x39&FrF`@P(l56p){?{d|q$MOX2k7DJo#N1+gAhJV;C~gynI(v7x;VjiFc~ z3}?l2wIj7vgPHc0sXcjLwy?0SZFAE_uWvq$Dd$!9D=Z4mKa45Aykuv5x4Dlr*%w0S zjp~qn9=j+_5(-FySeP0a1Q9T{Y`h{BBsoMp>9;?aQTcM6Kdzbfie6|rV4H%bc-Mx8 z@!NI5xW%@%%hc1;f`8*`*X|vU1`$F?TaJCto$XEBz(D2)GJKH1ZAZtF zk76iAM}gJ{>0!T~f-(F*KgZ+gr=1H1B5*%MRHJc`a=!ULL4h8|yYu3Zv|U!U{T;K= zqlo_!=m%Z1a)_))8(u=|Y*{4PM5j&$(bY0y*}q7UCShtIGu;4%1cA?KLPtPh^E;ov zNDdCkTTq3!@jeuNVFS>2_P?3Dl{}fx#jo{eII#DEw{1dVOK2#`Zza z_2JsLX*oim$Gj@&2=dhNV9&Jg`I(L@8YP9qeLn*4o9zGIB=yed zXo#yZ4a{b)o#_}7j+WLV3F<8ab(doI3JJ$f&NOzTA>>UOKPQU}khkP$v(UhRc!CHB z7K(;U;5{=^j_dOfQi3#}XWR1f-Hqm06XKVtE86X~fPTX-lq4`dLsXit$AQAV|GiuF zq`o2x6tHcDUN9ej15QlWH`Stq57*{yH<}f|(bat)=^2gFj38Egfb-7HIQR&|3JwU3 z0s8-0s$6~vUbF5Bxfnl@P_N421yatFNKuVc>dM>5fS5jq1bQbwQuDKATIbf0CRs4g z+x~BKM04`K^*kwHhWgrDt`I>8wmxpQ$tJ*+(`+Y)TQvgi0`)Xl_rbB|xQ|;;(Qqoc`L!}qAof!LiiS7~ zYP#>TEg(Tc-zT+|>vkyc3Mo2C;4LCJ%lj#BV-;3@GTj8MH{(0vg?ahCf9j!W+iB4pHt*)-g0sHB?>HTveltQm*8j` zGBF|%Z;Jsy0RqTFDX5??7z4ZUQjas8Wm>3>$P2+e`wTb0|V_z_|P$?Tn!S{Ld+C^m`3jwDHbd@L4*66IaZ-I0vVmK3o|^1$PLuR3F@)Z%E|8@cn05f`MfF;QJ&kJ={3K)IL2&;4v;>4VjDk?#*~GVwxcIQ*Cxq9 z%8mfpI$TkPQmQsN8Rl>&deF%F&qt^A=G%qXF&*f9Xwa9KQ4~-eTn_G9wu8uGuSu?r zpF_rtP|7{1MjtDMt#qcu6)AVTWu<Zz!l0x%^*mac*hR+mqt~~Q`OP=7l1D0f13u%51>66 zRE-K&>y|zpOqo=ufaYLNo|J(?@bCp1$W~`pYi?7d?Yu1pBJjwa9VT0#<*hQD5S*7D zNne5kpvourR()h6gK`+T1q=cf&DFM3BX(;l*VvNk}82EelMV2XzUP{Cjd>CO}G z50}EGolk8X90(n4CyU>MB&n;w+SQ4duy)$VV+sWn@6YK=9tVr~zO`jCS3TQEgp<mg5Vr2T51Z&Krnc9=TX+-j~0rru1?2g9Xw!^S5p3^Xj+jH$@^+P>u!AS7PMzJA3&;A?dfJ)4Kvt#VhnVdv*MAq+#>@ z?r2W+VOv?Wc^~2I?fBUE@sy$ZYd;;NL2?+u0aARnZPtsI$t938vuAAQx83v=MVRxb zIBGb@AiC%q2*TB1vKR3lc_Ho4x=yc)GB06^`c)nXa_*mXFC9<7o! zaL0`jca<|XdQIp z1S!y+egWko1c6A+mibqX*ig)o=d*lHTvcsr=9i&Eg|Qg>+sJl2XiGRLROW0%SU1|Q z9Sscx2KIhUNC0o>e5v01?$?c8C@MrENLFz?SXz3lyn#$ni`RMUsJ}u%A^v}w6?i3u zGa(rZq)<6b&nXV)nSBU@%hqotX*`LJOf~p@;03S8$)?zy8xi=(L&na>>hpa}a2cIxofkxrn9`MFd?xFwpAG-~ zO^0jF2OAl}M+2@5dUkyZL~u_RipIjE<1~|Gg5&;35U8b}M_MFRMYv6yXAyoW}ldrqDAC71PB! zW1)>#fHXA?1end_6-cW+v^_i#DSF)1kIUJqKm-aVjq}eoZW=jrwBO>%xi9{l_VjIf z)b5Zv&)E6L3f?gUqNJkkk+sBPLKEZ{YfhtRz6wzS)Pk>fGZtNkECWUgDI$CuRZALT z#SA_u;`mp@50WhDPMDIYFOUHly3Y^6F(zyCxean`l9V+G2}s+nX>jF=`89gp1~n4u z=Xq}Vmb%r4vX0*0P$2*y9j7MwE7&96YrjF|abuTZ5>7VSSOb{^#T{iLg{{2*x#k@= zNRc{n{yBO^$2yJL;iB10d0<{(60paeB$3yQrlRFIEW?9=0`3!^m;DUCxA8II?3~R{ z#FH~aOVYy+E%WBofmR3QBebVeW10c`KR4XTKD@9P)n~-c>yhaDO&KP2Un=B`tIux@ z*e^{<+iN_*X6gI6=X$=LY~$lvU9Hl0cWpLT5sUDFfDaNNs*f31L`}UKbb=uO9T2d( zVw7(#MZ?S89r}g-_mk*r0`8G6)PJ@6lCenRz|M~;;GH3s%#qMr(1?*i2){RwxE#`z zzk~~Yf421j`gm{5ns#}jTz!;Fn@`8s(&ue4=X}s7{{CZaXnKm+*WOd^{KkUM0w22r z`Mh7JajQn$PZfZ)pTZM-(Q<+**l+RB4BEo1 z4o#y9K7w3165bz0P&{`Vjn;_*xR1?2{N$+Xv4;*;%C}E%We&3o+!|cseq4cFlg4y# zw8V9?-oUjpu%({bl#o4%K@@xhU=X%DbE>${?|s~iyxra^gq*xY8H1Nn{d&LNzSJMY%Pa!L5Xy@{rXhSk~?&0Q$Z+oR`a2_^CkE&JqjOeJZErl zx~Wc?vHW{-Gl%V1HXhVcatd7x2IPlL9Ar;S4DcFf%w47Z9LqWGYIAVJyh?YRnjB4B zM0K5FEZT0rZTo3TW!R6My8dABP+JxHj6`LA-HU-{#?~fN3FT;LLfvyCNk3g6J|U*1 z)gVFwWVu5g=V#Opkt}E;a$q?~U@s>La{ZV=3JpHgxrq99^nTqy_|Y$)z7-;i+Hb*A zQ$ET!G+3RW&tzr}6f4vWDXm!=MjR?@Ffl(@zcBPmjfVCDf$+!g}D0 zExuF>8jNaZ8#!X3Z!s#NQ)<;8-)kXn!JVa1aA8MJsl-xGPEY^Nfe+=V&v3eYWa;4_ zDK5Aj$xpv_J=uEKXmbMfK4mg{4tJf3V)~E&DCfE*1rkyHXWo@b;9n!r_ zzM+i|LY5`e{NB|PZc#?w83O%RF%k!|`V(RBUUMll$ zv!V)ns9-YUqP5&OWWHZ@fNDS6=hO9c9Wq0w@MzkeemRe1vG2e`AvBzZ`S5W}?8Z+M zzs3L9b5swd9Q2p=fQA?{1_ipjzi;P;L_ue>hsbtSWx-zK?)YmIfEt4a270A!0`1)55F065_5y@9Ul;@g5>8G|{^(Ley8p~}7y90OjIE1{ zaNFX3!~Y+piF`{iT6^Q(s${gg$j{QJh{O7Db$d%V60Ax7?gc8z*)>&@^{-i>9ko;` zLwy0}eWPo!7LDKe^b7APeOz}(Msl`(&rI}#L!p;K-fWe^hhlPU=rc)Jo9JaHb z<|Kmfz-aS3(ClWr!+AgE_mBrlFEH19#Ipg;)4Sp73MULNND#({VLk2&s)eh?L*7D5 z$o>*5+`ynQVz$Ix$j^@R;RgHgPI~>C#C7*r;(FEP*?~kE``lojS89Nj;cRVLMEbo0 zzP^){;rG6fUSIE(Vq~Vt{2jJLK6kb@2+&AmQY}}ClktuZwv1xgd_4Ku8%586a-H0b zE~)MATXDpIWE=@K($;qp$T)LyRyb(zsn}c_`7u6hkpt4D?PK*FET>x&VV%e7oS(h! zx5fAuuiC28_UNavK!oL|2e?~=po5<$f{bjY4zet%b=2dIJ)U)L;nC&e? zBKRlgqpW4>t6TsKWk-ui~{CzvrT4 zT+gAlDo@*+EqqY4_7)}ax%>o*a6QM4uS5K>Gn!Zbra&$F1o0Wax7OG1de(iJ1WZWL zfu3#(s*>FMLd>lnSkE#?=buihk@2YG!S2Ox%KKdYvxu6atyB6{lLi9-9q6#*dgvc% zu?2G6{H)QCL1V#l!9u^F|BtG(V5s7YzV=)i>Fy8|P)RB2tJ2aa-Q6JFTu>1NBvl0I z?gnX)?(ULqlx}zr{{C-$fw?eq=FC2Ot@UhuX}Tr|Nqv*r^bfBi-N%fS$(zZ;;s6-E zz?9lTyHqF0QGPxzF;X)~8|X@j$}7yQR}`km1A9~X8glmVv!?}$Nc-W%tBL|2s1u#W zDyk$jkh5(*mr^Q=Lx{@BMs--xZ3ucUpa0pi4ey~eDCj)iUUo<3$JHrWDn2~Z&b9bp z;NrRY@?+G<8T!JWPGzXY#oLq{`eCDtMbHQN_a{1q&=M)Dgz;u%%)MWh@4ck zio^WUYsIB206Q;&U-g+CQt@KN#C77^NS{A?R={xEEwIDMiwg=)d=)O{3N}oU#|5<) z5ZaA5>-AQ5=L1K47gjB}^U$W~#HRv&)Qw@1;nqlTMP%M?X{j+76cz5*aE{g3xQcvA z7lVDGy*q40B;Ar%bRn8D64{U)agZgKved(_x{QCfF2bZggh9D#$k{_O^hODKh#Jwf zU>}FlBHfqcwlkedQ>xx!1Gryb&w~Ehhext6{)sr4=SFZ=2^UIf9dM?p{57awF$ zGRbB-Zq!~rz<*1ulZ=sk$-Pd;6}(W@e;XJ2eCy&pap@mW+YYHNy8Fk$Q|oUaL~D~7 z#_8kkRQ($lY*WhPqrT(ljkzAY#j>DH3DkNRQGYF<%iWo@7iU;Kdewb+i}V_YbLnkA=0H4XFm#k@nqyL~2&7zNM% zsq4#O(Rcno%(yp2NQ9fmu?R*SHchK}5whSQHAwo>b7eSgj!hV+H#4BF*d6Qpk)Wq_ z8}62Fy4}ZO1vbWwxvB+)z$K&7e9c$i(@q#)K8H=Y?xp@{nLP%(*=PVtHyezP8&-^-9&bt9Szf5+`>a6cCjt~tx#G}6 zBN;ESnKL5fIy3NSdsUkR(TNbA;AHc3WZh~98NA%MbUKgiPT9ILKk(B&m)}+E9^g6f zg!f56cTVDQ7>Lu9hhjTcR-;p_-|pIv9-OcLyF7giXsa5&WFUE^6$0IxNVb+wI^_~F zWr8R?YvteKB+qVG8qmSzkYM!RtIz8fa>k5KJqqc2#A*1@{p6jH29;D^d^U4SAJ9;K zPSaSeI9!vbbyN&$W#&&-5Xon5toP-}8oQ0|#xyV<_kIDNzw|d6=4FApbao5PO%L#) z8aleGnh-(Tyf>Hgdf)+D!$$v2M?czSs#k6V}rh+c?JIW04Z$bex$E&cQwKyM8t_O7{KX+Y)yd* zFSbNGzD;2h?GK$R>!V@|T^bVe_;P0G$zJ`0PoVf~9v?xVXM)J3eGK=x^kd;e?EiK_ zy^*CeSC}>1^^E%1}DdMCPrp~u+^(XKS;`HV*)O5nxon|+1HG=3#y+wbUUccB4J2N$EX zr>wo{2X)xHm`(B>v{L8HNpc>{2`tle5I8RTtAy=m!$v_D)DdUWgYtOZ_Ez%y(fxNa zjU8;Q0WPr1Gw5;9yi8G1Ug77;d1qu2`6Nj+UBxNTI=A@v?vm{A@?n)+W^O?5&rz|w zVHA~TyEaz3b+MH{+zD;3FE>a3PFtHS)T)Q+B143sj0kgGZ!4&R7qwMCMpi;CIf!-} zW!&q%{)A?eZrYE4pE1je%p$HGsi>pp9dx5-Cqhv^pgkNBYLjc7kyOS1DO_K>GEBkU z2ve8ajfA)A5_c+y^i6|d2**#vMg1-9@vS%Qs$85naOO);G1JKivDd`LiQZ`ZD{E?jxDRfLusv;s_xVEs?HQIoXUn6a z;P*ab7`;@(Nq$TK&oW~~%Rxjr`LW;-`rnW8z&H?ETlh^L$+BV+EO<8UDwQ7d!?RI5YZqP+Y)~}i zpO^ONpnh4iWAi^t-gxbqJd(13P&5V#%mPalGzra2Wl@qRS`@8Z+2)FNfHpvxkr6p! zLz<+xz2oo)889%UWpTH(rB8htzT)nvN;m$oO3lg&TO6=2uuuEseR>+4iSqmFtxzPe z%cuU@9AWu$dlRmR27}U#a14&pI*}ws%28@@)x;u6Smo`EkOn19rc`H43&6jAKoU}e z>y`_&a40I;3s@}NeCy&G&Ybw?#7rL?ce-ge79SNkD-@fd{6=sz(yJ~sSnb?{B6=kU z6M0JfM&1#=?~MD(h|sl$kdw+D@qf(r&n~Mh?3w;e06zx-;%_BzEur|9M4C4^Oc4EB zPOR8lJqM+4>wg42er|QBNI);HV1qu&D$(l&FlR|WVH`exlsqSF*RW6>s8ZQ{PA~Do zl=poDK~rZ9;sdW>mbpdUkhDpevQ|7jL;ypf|K8rTYDV6+tAw%5GX>0j8+t6?`{F5i z5s7xX<`5NmFhMyvES;}ZJHPJL#AMpXflKf8Gtc35M{qf76F01;d@kec>#QW{2{R^H zj+a0}lxf}YYRDvUqn3Xtu(>4t%x}`3$IG{e^*A&CUjwSlU%3j6(}MxgEMD6Do6qcR z`es+DZ@o4o+wn6)LLE7~ti(zje9o90VbTS15D+5}CQAjc@G=AB(w-5r>-|%0E)Kdj zkjC@yVWXZz(ue`_d}YZXQo&*8(P~5FRcha#>U9|<1X~2Iuve;0Xvn5C-WYyA%UFbbD97EKzuHKBixa;7t$B!npAF;0tT-T&UuCY$Z zRwZ!09$U_3fTphWnP!3bLvZYI?P8@{8soa)!Td(_2!EBvEkD)guG54~LL&NWNUU^2 z@sK%5rTM$LBau}@gF467l@sp*8R*~+8HR%f{9jQ;Jn{D(BbgBP=q7a`+Ti!Zep@YI zV~AvI{CLSL_BP+-bE$jS4+UAe6;ebXElGM20RsXbF*JBE=IvNnq0(%b_3+{~{N7+0 z=d0OgsFv6V2D|?G(=!mP@rBvCXX<>S##{0(&O& zZHQ2qhlxzF2J00Qt?E-*Ob9<8^MU+0^{d;{N1}<00&#F}Ye*!Z_YWne^~k4BZJw5w zlLy(12)^3ON!BH1N$AOA>Bc-QS4s+$_W42h82^0dl{<^iAbt0&eWQ31q4fRnT`tw4 z)I!FENhd06?KdK7tqa9#AFyg?9m53zf2ciKO*r$jv8p+%BeW56Q(2y^@-TGzBfz1& zsA;aei;Sl-B1MPpqj=I9JbH9?#DQ*OX0=D1z2r?3Smx zc>K-p!d1gC`sX6ZB;t^e+n=@5cIW8WMS~3Pc_w^uh_S8C!2f5T)l`pN{Rf~kVu~QfWX#*R>t$I|Ol{BdxG763W{5x=G?98*)1 zqP*p)^r#+o`J)_vV#8ZK)T3**=*{IfyyYH6LaScGzF&X`^Gl5BQ)hd|jeO+x2$yZX zq;-wO@{-c0J6==zzj`f`h7QijVw_qDV2r?maE|dpL2H5R-q-1J!5;)6`1f5{JKO~c zFedIBkQMvkB;&(+ov`3$s;0KP7!H`OR}F|5)4nPF~TUhRaSK0BSgg?Q^uJio0| z&AUgR2xs@AWo`r<<}9Bsqt5Mm10)F z$ZbCzf5Qhe{K0Fbhnc$;Rt!FN6MMuy3b+DD&WnMJZU-j5Sdyzdnxf$&=-A0ObRKaE zAY2*-p%u$)e!jDgBX*ASU*e{GI7-fg_mCF@U>HpYak8zNP}z_b_nTwqxI`2NtyPpgBr~ID>w_=PT{}*86D#~hkXs}m zws^iMkv<>lcS$3zo+(lQZjn!Z7+`zx+=OjVjf5#a*dTk_lP2C!z~71BahJJsXgg1(}eD9DT9U z1G5&zY>T+6`ved#xzE5v`34YySZ2g8=R}f*ANc0pT#2eqxz8zOk5A~`WdhsVH;R`u z*P78G>3Yg0c-nA{9}1^KoX!q8DavnfO`k5$0WE$1C+T%9nC4g^Q06fPHH`HU)ATBR zt$7q`#K$S3>z>4C{?6YUjDN;{A-}9DIB7=r;KrE2J;vjKWUCL;7h@6%$*Pu*Z@=ZX zOUhl9G)9qU-duMnZ74`VP}Dbr_BL6`jJ5-J5XxkZ`CN1Oxo6}9am&d+r*eu=Lva$QudYXCx$=gTavy8|CMFV0k_r|W*#Z2bPzfb#VJqM79 z@I#7#z21e66XGgGF-~6}BEgE;5o^1~cYL&b!FRxy#**DQp*?!@k26QaP{a?Ec-{D1 zUIbcWwq7<*btC!s`g(L>);d;0^`pO9Ss@eYr~wo*wSt13hJQo-4i#bFzWyBOSX`=P zq8A?59W&9a{Tf!1@}p}n5YO+Zy80gyj4xgY51zjvw(OK^ziYKTI%&3AWT^m+_xlFj z^{Q9M7+c+Af()5_Uz#`Hh zpfsbYdG9nHE-~Ctg1$2WCH2b10V?Ge(n!2yNz`NuXSMrcD7d3pH^7d|4J zfK&NOmAu0P1^_lay)9D24*zZ6>WmEY`5fP-%j-9>GI&1(qd;<#`*b1cMD&>F4d8>g zLEN!_XD)loVybWdYX-UFBnv-hqVXfeo1u`GfZky|-PFo5SX^>cnF$yBgaq6nQankT~yd)%@O)tI|HDs{$j*hHbGBgzPiSSOq5d{Hv+ zXu6Zi^0lQbH#bMU`d|I)v+)2E!a4M~A|aUng>CBV-<~7mg6GEp3g{JVmyrM=1y{qN ze?_KU<(`UCZL=h0{7q0MMKWj%ns)sYyyaBN6crb5x0EKDv2k$l^Xw7e#&m;#j;y3j zMMe2(Nk{g1wBq^ltnuf_V^O|)pE2RvU)i`sUq<9o4>!J-3oNYgP2fYX2dz$BuOoU} zO!x`e4&q#2`OrKmSYOG5`G#&a$@}T%)2IK`w&(6?+K#n|RSL?FB8h6Y21w_SV89sU z$?Wew;W^yK&TJp!q*aj4{oTF$<8Iupn)IVrZ!60qdQ?@Gm-Jl1bU!oSQ(%YOq{OJI za)N=kIEL4bItgwxR~?-sbw{Yvu4Udtq3@C7tvk3k)_6wvC(~>NxN+{_-rLu#NS(zt z)6^q}C^Co$sC@GC?UK3KoUeatS$#v|!uG*o*CLk#h8}V@ z<4odQu5-s4z)`&EPi(6KphXuDI-D6ulst)>n_cT!c&3?G-g_IjMe7-)cx6!RR|dje z&q4jrHUDuC!)OYa1dWg{`|ytBYhB&2NKC%J7Ww)Z$>H*xY%uxZLUhVx6+x>Z-{C}H z!TGEId7b0xz;43i@7IgD3m5e(P-|12!K`s`Uxh*wToT2Vq)C;O5b59WGN_C z#&x37zv9Q5D-npA`kCJ@w2eUinUs=N{oSqA%)Q&UT&_o5Ul~x!4sBmbpnjQiXB<#@ zRA6d?j7!cs(k53u6@w3r!pUJBH{n07I^9HX?FAFqt;(h?FU~~M>t*PB%XykO2o>ob zbm@PD5KSl{c5NW(y{y~hKV0*?4(o$O3Qxw9{Jw05a3^c+%FvCP?b+>@IzpH8p2`qf zS$CwQylo#Ffz*bETdC~?yIw~Ex8aL#6Cf|F(($J;8j$?@u;5HTPG^1a7TBLHV?R!M ztKE7Fim2nI6Ao6A0hG!d^Do`zSSnv?6=<7p|JJO&6Wh2jMpLy59Lg#wG&dv#8eldJ z>?dH!%~4rezUDSYD>5c<5cuKU#D`Ue45?(JDHX6AgiSzbpSDnmOd71`j5yP>ynbk} zC*^tYgh`CmRdV$wKQeGb8DxBR9cq}NCh~$&+Vj?zAj@xR$H>fw@HONq>1Rc9g15C- zYj$8D4)AxQ%ld9gaVratGSVrqugbLf>>g}??ZZbr`eofyxsMiFUjPy%ky58uwkW#` zdGtG%qSy6-h2LvGeWuV;;7D*w&VTE02Sx-@DqXpGa1WvEaqO*~_%4E?W52C+oG5$k!3tOvPdE0iB{VLYpAQJ{MGx{y*y^5mBk zv|azmV388_mB8V#pvV+sJ~DR9&6i&T@fj}wMro`4 zsXx5Vw{;bD=Szoq%)@^_=?MN=O+xx?9bHECEapDvkNSTY0nMpum_-MvE{JKNgm!xB;eP-6l^OQ#wb^g}uLWX&9y{ zjN{PPuYuXHBO(L=Pe3dgJ2B3UW;vG$io-TvqS+W_{`0i86QRzj>25KpeTf4by_E>j zK^j=OT_BmkQ)7@t%gB(Z(`40U^i->jR#WF6dG9~JfNVC=N_$%~H$kV`4YoKH;Qr|s z&aPTI^xVjEaULmoxe@lNJtXrY^d)-CU@lE__;*gQ`aeC%0h|0;Wm?9E%EY%!yI!k) z<=fp)a^CLg{MWRVwLWMCj$zfNxNrz9`z^NFR~m(D&4YrWvvHj}NGhmbe}0gU6KyhBwNP!+ zuC!3OLh|^3+$nZ>jE};0)oyClqLvdKn3Uq8`?q1pC63z2;iG+`wv9pk*4MP$H2lBj z=$SrXb_cpX0Y%nR{p|dby=B1Zj@&F0Hb z-}${X{lK&hO`VT|L&O4m?IshKZUL#cpCF9@zyp*EON#=p?#sTuz9rlCPzvQgWn)HJ z+Y9GmW(jJ?YAJ;_qSWUe(qMyv*|}*~fAAL-UY2N^T>)_@$i@xsa7+wwk97PE67{+r zn4#Qg28`NKt}WMuyaVRS95?%?ezgcP>MAx}*(oC2)q$B)-UxPPseghCg69)+1-Z=b zownoIoS7j_hh=@Wefpjy*;cV&!g%n{^b{4PF#1GvLo(c3SBr7Q&-VpUP!vywrsRb> zJSgAt5t7F371nHG;B~F)dDAr)x0P8KJvL7OKv1F4gynZ<(eZmQ*6-j|)A8@7arx9t zH(|5%rJPU51BqEcu8u||{|D}-es9&2gO*FhdGA@JhNPF~Y%6O69l{N<{qBYor%>I6 z^l^Jr4k?TkP>XZH43XRfk@!+P(O982?rGmMf54jj&xSxB=4ePL4P!f6(TY_Jpa{8sCz=g&#%pqW3ItCy7^Sz}7E%Zvp#C&5606y-U$A^VfHd8xE?Qsb zOjV)1>wKZ%rvCT;@%ub#$tkuV|O_wQC3+EAc~89S2H>owKJsKLmV z_n1wd?xq7R+39Hs2!z(f)8iTWIvSns84@FhHGd4Ru3dAmUq z0)ft!RhJUQGtbAKkf)92i;S)|Cxe9!q45L3ozTUW7GHL?_Lfc&$I|>l&HG3eGY#)_ za6jfIRLbT6;D~5VzlNp^2uErO#diLNG;0rmmo^ypS(ba+Is){TK%l8sZT$ zbb$r1d{cs^rU`{|#3MFL>psSvmkS-&cxsmejqk7J@)ZW_EC?3*1)h3e(~150MC)CO z_KJqNbgF2zha=~FIo!h>SPSVGd}4q3@^X4uK~n=CTojO#NyB~W6Zg(-aAcAWZ$zVn{Sh;cF4@W``D z8R&Zm&=(7m#Q51=RARfynyOO!aWD8@#?DQiyi=7L+U}{!^JKlVa_6cFq=F$1(yuvR zkre!<%ZN^NV$m0k&#D~KZd?zBJXM-1r>B$Cey7tSh9#rm44RW4-=1O6l9bs^Q}ex; zsA)>L=>v{=udA-MQT14iQeLhRQM>r&zHDxw2m-5E==T1HVEW#BXi$a00@3C1&a|O$ z?qji~d|A#rL-TWj_hITnmcRXf(tzP(Zz7Y+4c1`pUo{ngr zp~rw!=8k7(w$Eh|3iysMeKWrnHLjiZw!Fa%wn4GHIU}+H@pamYe9yCm7%(YHyB&)s z0HMJNfa#u$@O1mVPc%HHw~uZ404$+~F4Fx#f(RDc>c%?GU!?yyv2Qbb&ViAVQFP>69 zS`T6**2Q|u86Z-@@Hl4V$jH*)wQR7GgIQc z@-(?r&tKk|%L_V)u67x|qf!U|F{s-=6?hFY zE?+jV9QkH%p=B4x_Nsw%rqiCvN?S($zb9ZdL`Vpe1Ie(QL7X?y%sM^rhx3$-5Q4QuxIvzEU zX8PK}Iw_@p(9op!V2f?Saek17#CrCTuN^1Ki{sFjB`q#1k&G%J(Xa0ItnljPgz<&g zKu{b!TV0hHhHVhdaOoaJ@$-WGdy-_xZT_-@+0-HfVp!pKd4E4U0lXP0Z~*6|SBH#J z_61G2?khgt2VP4kH$U0nAgO%mTAHujA=SG|Eugvhh2D;{U|_)Qk97y`C$g_NRNoKQ zjQ8JDcDuK{=e^xwSAP*_00oi$dkYf118`(`(wlqwkTm838B@z<9nz@+Ixv=EW}o{$nW;#|HxqEBJ)Y)(yYW(XWU zmQ*BuH8C{b_Ht+eDR8R)Jy`R9RQf?oF^7b9vuteqJfGKVxUsr}_Elt5kYq%Eh4s0Q zXMlNMNEp5LFR;lZY4?TkEART89@fY~gki3YrohX}97ow?!GO>zxIL_@UNmBT&#a$Z zxCnRh#!0lKx7@YWWkmQg4G#BE7NSKIJ$jr9h+OBcGk9V_+cslkqt%|gr}uhAE?7Rr zh>JsP*0V^Q#u{e?Zu=zxm~=23&r^}Rev5q-n>Oj86EZzD_~#&(T0|NMmUAu1J(0e~ zoI1ud|H_tyrW6EaR#dnYz=#w!2%_nt*!gwcalkUw7PdSbI*V%vc$+J=G0;9RuK+?v#z~e39CQYm(_WNHn;CXJb-&3&-m2N|0RihPcff!R5L;+) zG}Rd(f&OIzpQ@C0Gy97hBd4u^p6X+Tsq;YY9#YW|fVUcK?y1rIE|oODx}$}>v5Caz z9tZz*iR+rc{G)n-Wq5UU-;$9AFtJyqM-ZQqaa1$pUK9&4U;^D@3 z=!YJy!L3Tl%^z5%Y(Qg;`*$3GL@I%ExKqoYZcRLu@#f|8Lx5>+J-31Vm8e}Pg%IzF z3Y+ia`=bQyEPu$!8bMMSY7>T9GPm;ph4J=#NS68@1}Mzl$*Aw?C60GE2=#BdCYHUJ}YT) z27H>ML%)1UB{ROfCk{O~`WM`sMp?4;3QGX-wg3`T<@aaI(K$TN?NZlpBau_|SBD#ZQfDi)p6MJ2R z7f&hswywI)^O=6(5Up=FO?@fWUcZE(rR_yMlv972vdX zKY)EG-DG^h@(cYc7^XPc+=S zKv%~kdJ467Le`w-603=JHQfz3S6*-jC1I8qCk=LBB?gdz7tupm?iS-KQl;%e^T>D! zDT1OUFzTye!)M@Kf`7BWNhHEXx%*)d}1kR zpvJ-7R=UOgw7ERqD=er4u(AqP_7t#rG&_c%%k;r zf2Sr|{kl3sc}~%zU{DZ>P(>bv1&H5~6O^jaioJmM`!-b8>cAUpsYt~?W8cfw7L07o zH$FpSS3*(pz%gJY*n&Q=>sA={(Sg)&x-_f@1|HGS-6MLP(0l&^#J}M02`r|=p-c%L z%vRc8E#VSFp;J@dGvia6^NmU9$v>R_EKn@|Y5~$M?OA2NKf< zdeThL|Ia0NyWeDCY0T)$&kIVKPu8@-37QNhxJ5W7>ML888ps$Cc6dz|){wExO^j-% zl3II#R-EX$`0=&Z^=(w`jUse+A&X0GQYb>H^@7jGM4o=QL}M-wZP0p`kPnHans#vu zHSBz^^J|~cF%|MU3E~AYmp57Q0cEd+K_#mMnQmv*Y5f^t_09=7FXDmUh5FqU|1HSZ zfLdMnh7wh-pAw$6L!tFTeM9qtgcEY<_hoq z54o3>`P+H~aI`JxIm5r5W~+ypgh^IHy7&HgpnJ_j3(5<12|m=^qv zzG#jHD8=LoDd9{TfMXX+33nrsj-_m32#3mNy7U^u?YaF#bPH?wBK}CpFORJ!ZP1>@|}aQ@lVR8XKt{Nj)A_6RHuQ(nPU#&qMx`tI>Jf6FMV+ zJV+CqkM%5$60SZx4x#Y|sQsph)!QLOxPE+R+TLZEKxZO;k87T<;= zhAPN8;xj81f6as}CH(#M`$CwU99c2(OT+u%OiT)%9Qy@JvKyMiDG}msuYci$N65CI7=~@Hyh`+V{Qti$ZZAON5$*sk58F3;bVn`6Z zV!3bkX1t5tf$M0W=f(f^9F50vy*~cim~(MKWigk1ZL!?i;!dU&Ub~0=bN+uP>Amtv zA!uuKMMCT2R}l0TTm`#21LD`9z8H!hoC%^y-e4Yv^#tFcYir2X zus1KGEV3nIG=l&R%faOFlV9798P{(|GB$l^`q?!kzH+sPaaw9!pB6S5)|gd>`wX7% z;#^t9eBliLlq>-2Y}k=QMn4n&CYtQmxion}roVFk=nh#BdjBQMdU5cm@tW@4%qt`2 zgcu5LGbJadGI#Ceb1WhV4r>eK)MYp!Xj;jJ@!T6{$EDy!5OPr~{QhL^GB5qjkF0pd z$ATWIvy=AErejz!u2LxEY7Fb#n#WmPo!u@rcCqNdf@%t&UO@wF%__TX735zxQP_cb zY0;gxJxXU!asSf9CMGI)cz7(asT-97=j(z4eFwAR(0)`anxqU)@-yD|!4ltxgpxpZ z_?`weGueYM)^W&695M?Ni(RO?F4uX>&l&$9>K;;r2bGy;>fLMd=m`|U{wzt*_cmcG z$rxK=@@9kn149yu(g5NCpuK@t*q zWB@pIn{rGabepD&{Rsv$vJMGp#xZ_vK_izvWR5S6ID9(s_i$zs2pAEK*X@iMbGA#E zgS2s1VciMB-xmUu1-#V0txs;;H@pG_M4DgUaX+5IUQePdX%+!ySV_M^)HseHmWE0+ z*?5cMFlsN|rNk|HCFcaour=MbAb2x0X$*#V?D?3f=a1}94{r~djW?8NH=TKS_e-;m ze6LwZHfM|dPiA?eL45P;CypA1;7r^o!kHvY#F;8m_{LL|$Gv@FcKh zYF7F~(aWrDBUnq)H%+PR3=D&~p-w61d&+QuNo%V!8+Wq@38L=!8A$Vj@N=XH%++ah zbApoFDjjyK>qT@~waEc({Kjg01Q+^UaTeoX#7G|b3BOsDV=^7PfWCjmy zJo_gJ3hRv2!lgDc7QgP8-)pmrRuJzf%CAn!byCFc6ZNPbJG@%aFO+Z;?6x+Oqh6uC zv+MBU?F6+aV>g$E4GAKKNR9SDS_PvF9y(p{dkv?HC&|h}|4yuvimZFjm=P_;SUDlPw0pSFCNV9GaMU)^2&9VQ0(@PtBD@4Qs;mPLJzI|n(+m_DSz%C zPgJWjJR!;Uyy7}NwzVTI(tX-2Zas7Q>Wpveb_w|oy&x&B0JMwu%bmZ*Mjo1?a4O*# zL{tdsQevLiH=CV``ikIP?5KKW|I`1- z!(*Pui*Ov~3cM2bghmW%v0>Oo|2PzAe4Kklq$z9i=lkW?V=F{sSWaQ-U!OUKRs1)py?y3bAVVO>A+kwmM_v^k{TEXxME{}=UIhK6cc-nT>d%SJ(w|9id)BHO2I7# zovWYE&k6S~T?A8)Iao zQD7vNpjr`b4f~ss#uvH5PDdNbE{N3KkRAz-TQ?*y*^#lqY-=t)T=8Li*tA+|=k71(zKWyn+mW&Gg6C zv(Fm(){xK{zn~`H>KOQGiC)LJsg#wxHRX3ra7zlc{9XBQ;qWq4InAA!CkXGZ@iG<< z7e6!xa$xH3(G&G(2jAW*C13eO?j36V&5OSTO@q-=FLqyIxgc!V9iG8r1sHgl5GX{5 z-Ka@GA30lWeW*_JEz-pfe*-DubNYXf*-K4$%i6Uvgwo7-Eg$EAtKNU z>u-Ixbn4^o027z1-*W!$l(jTWXrpKQh&7G3?Oim2;;z-s44=-S0(8AgBm^+U0U!DY zr2rd!!P^)i%=f`uygm?)vN!=z7`@URo_SjBY#hn;=F2n={SA`RM&jP(jaQ7w{2ZL< zGxes%Gn^X&{GT^?n+xv$uzf+%mz~OhTb^17yL<3Qhg}6QlO7cRJV_h_7J^3=i9-zM z%n8y{089k%chl$Lekx!pSV&QZCweiwpWtJ(>dg^jHbkpu7fp`tSnUzF*b z;PB(|-I=Z$TPj6cb47<+WoYSR<-gA2%ea8oJD{@_wF{^~i)kR=Qs8Pny2PdfDgjJYR>BjiCI)uMi3xQ2Se!Q zj5a9Yl3DV;_cScX_ocG8vFgJ+8H)EMzePS5N%9CR#TAVWXP>z|TfRDfZ4W6U-_Mxd zKjc{1*`O~N0tn?gNo8p_>n{VoMgL-I*5S0`N%|s@f$A&69vrvg#|64Dcpxg3Gi^`uIX@Y{&KS<4)5uWguupe6{dC)vZdY80iwh8M!=VE_iCbsU~Qx z!y&lbq{ovj{EasD>8Gdio}Q=c39t#Vx8pG9z570v;-;cFtUW0o6=uRGRBnrN63YYs zX9+xp$Dpk+gu#Q4oiFxOky(7EQy(CaD?nS(RhX@GteW*^s+-7(+DT-7sl&h5PaM~GMi9v?_&UWq#p@ar;)iw zmZ?|Ru;5eE{H@mqwCgiuQ_s-Q=gun%iM@ZQ7CgSW%`(OLa5VP%;81{Wh4`x5%@f0U zKQPiD>*~sTpATTW*scEohie}&&#nI>4pTiq-5CHXyNZWiV0h5zy+H9K2!h9pFLyCt zK#wh67?deQ7huJD9CTHf8YcBEZ6e`*X~5x^(o{%DCr>%bmnV%ShaZ0QT%mR$E-JDC zrVQ7GeU7c`={!sV9q-Tkfb(%jGVFM$eibcS*r2sf_tmQOj?WR*tD>NIO5$PlcgHP$ zqin%#WCkn`3Q3XwILEnC%M2jJoVopM9s{ZWF@c7o)d32OJdB{6(rlQX*8nMR>E`kg z+mjG4HogX4{`>1g;OLcl24=;1KCWMjd;dvH@;}=_a1|V>n6szVZ{UhbRO2XI0`_u$ z=`?<``VZg8Hd%NYK=Y(a+$};_FcT%244DHD$Y@JG6AS5E^ihzMPb}6;Bye7lr|%j@ z#Wo7hF(PMNv$a@>%TjoACIP zp;%GW=L@G-OMOS90rE#%63Z5iiOmxaDepegv1Z7t`b59HV!$b6#D&`aJ*Ck7)Q%)9 z&FJ+TVIUN|*Wd}<{~OKNTYm|#fPkEt&_-o5xkB>w-sg4qXWA|mUX;NKQXfXLluO@s zwfge7ttxole$y?_>6df!u8aHsKpl8Ks|l6AQhkAt>wj~7dYx@<$Tap{=)9oMh`GQY z&<5bGzD`yOsS$L8TNZ^e37^ofqi7WgGLj_CiRQ>I(Px)%hqtON9&aSgE68R(a|ETD-1+FN*KX;{NNy`(= zLCzcdxrO*r7a4%%`3Rq=tyN^0UKL>yIj4M@zMkmW{|ko3;1j?HNxla32|KXT)mN<- z3VFEMvA!*@+z(=8GvMfeK4y z0i!nrMm^CTlAW->F{zh|zCQZwLVxc$m4_%uoHdbwpy+GoX25IR592rT%pd=N1yTu- zK{u8JcS7HmJbffN0ak$2HZ3Aj0vgMK#ZX#*l-RdgAs2M-XEt2P3%F z;<*GQfj>1e4H#w5&trJaby90~9P20qY= zka;F@f>}ni(m)Y#a@xoY7gh1OU6Zi8ZPZEk?srgHn@m)7B!qFNRz|&qt`VGsZ_w+E%e5M(#Gzqr4ypt)x$>J_sId+0I z`mdI&dBhmU{u=|hs$Slk)NlPDWL|FtM(+4B&HI4)EGSanzDNMbLouI<9W1vC37Y=W)K$XoNC_(-6M>h zQMC$1`vq00^ZMIS89N+evUEHVa`m1$4uSM)4?6DFU^T$bZXkVbcV!}wmeBcG)Aqkw zyY8T&nD1%nh!OdL02#(3)vrQ_0YHo&w1?Nnm3 zhgFSj<$2C&IXqm@E83H-qbQj1XYS>_Ulb4NeH<>UA`>48{f8u97R5DQtqD}1?(ib$ zKN&yU=E{2SvHz=AXuCtY98j9O=oSAYzwW7sHp1Gys9T51lDr-rccbb7$0f zUG~z%pMn#O%4lIS2I!8PgkHC5jXJvVirfQL5GBzYCRnJb6#yzy2m%Dhd_7}nm&#(8 z%7^0eZSm~@^{$aYTLX%+-RSNHEP%ZY%gsUBb#yjK`w?#ws4Vcvu9&%<61Wa_FhdN4 znoARHMK3pinxV)%J$Gnci<;O7ks6ZJ1#iAUCe4kP&*#QRfBlNvy1q`K4Kg?I706(n zPs5Fy+J1+;c-{t-X(>N6Kv1r-lu;9i1sW(x7|;bI4#hUmS9f>r&^E6W8;BJUgHfF< zJ%eH}PZkMxeDD{?TZr+(Oyx9+4Te#uF9mA4ef6o&g#{hHYKXoZs!P0ZZ5xZLKS?K? zOHFUpzR6L*vj~JHn}pE3G$k}XJ0(ud4s$#^WZPB)I|*)1~llR`U*p-3h#3L z*y%HTPf)RxgvB8NQvBfTS6|<>Jxq)cXVFRaz5=1mKpe;Jc>)hkHx02B|LZ~~$&HP; zTA#6x=QNQ83=9BLl}`d;#pJtToS$zDy7oWek!2^b7SzQf z;5wLVSK;qnVmmqSTt|@301zMyFaewN)6{p1yf$9Bh1(s(;=3@SZWjQrzDDO+vXsx~lMEOC&&oOkBEhlp2^Ta%r!gaN~Xx zkyKw4kGA|uaU+)e+E6O{bRC3y?T{$RT{@CzB(A!W2RikUJRM)rNAb7io=$wHBoLWg zA$NUYdY0%8_=oE# zOg;e45wkvTp#ZhQ@?LY+yNoFrya()a4j5;%X^iB-uA{?egG0H2CkG=?( zPTo(6*7le3QVU~sO5%iL&Z!#!%676ocVjmMGi{FTS-y1ZJ95?`qZ0$;iiQAQvC>+y zf_;W%uA;<7|x#96R&6LsNb5l}%rb3vj^QXGQ*!i*#4uWUq1Oo88M^sGMs2~}^^ z&d=8Gx_J(O;_Cw#f5FU9cLV%s+={_LGcNrD+1t_zV_+Lx3xoXn8y}9^Bk233>BAya z7;2LS7eQj~OlK|eWE0syiw}cSGCQWZ;!UzFyJA#*j^abmgL!#SHEZe^S3{?ualpv} z6|j5vxH;N0-L{Bd(nU#%7}ecQX{@~sLJa2(T&bB|y0}?n#ZkW~X7W^&Yf9e{SG~M9 zM3a>$6oqnK$sPrXHkpqR*(Y4^|K6?qJ}lCU;}u}X1oT`gKUovIFN%nW%=UZAzSyCJ zexB1%%D(JNBHo*Y2F@AlCs4X#%hQ;y4O-UqzA-4j$N`?P&(%XRk&|HCY%$EpKC zeO)nE0$nGS5M>1pR%uhOb~S&`mCO&4(p+*QN&P}eL)Sj1;g6{L4|;1oGPY$SeuKEh zREi`ST{58d8aSjU^m8XezaD⪻x$vekNf|)I~)VmiqPA43Z!UF^lr@!4MyR)_zGp zyG%l;>L%~2@FN8;grmUs0kN*-bxBA{QFm2hr^8wP~D9ruvL>l=x zTm}aqz~?`$l0N?iDnScm#L%Um^k{z&$Fa5-srxeky}lg>QH}EZY3lp|nsEyIq)o4Q zOgx7UWt08rj4+^=A~$(V&I5t!oaUhQA9@NPFUrDFBqk8|ei!7-frcXK8uuwk)JI;c z>q(SrU5}WjlvMCg2Me6##DkzHj2dq*0$Kaobao`NMg9}=-;J$nwR=#NDaja(dzc``*EVd z`LD*ZiSH-xeSu#TL?$m7G|m!}Q)kY>K(Yg*&s^hz8RI&v+b0{zOcr_Rzp;`K5NF&; zc%Jc)pnZ9C=!pb4h{@CF;O%1eJZG#b!xyEqeSRTxQVmg-7@S<=lk`9X0x!{xc~T1S zj>5G>^w|{Gx>Rw!Tu=l^#IRw6n7o0l|7u9oNi5z7Z)X5TPIAU_g{e1UEHnJz1^?6i6Af z`(~*_8~{3zfb@M%bV@NEVB%D}l0*Snbcdt&%FMJpQ%_j7xBa%fCW$Rxua=vSZeF$cBbE&K`^}!mV zsLa-@qKMqJAhxR!z(!(Y@nlBl>DvGAu-hXXA@a)7zX5Xd(E7;xpAV9Y$OfKVL>A-_=+K~SN-+yC&h-LXx#hk<9fr8HZvqryHV)O- z4@A|%ArNRQW=r9?$RoJE_{nKp#{)&m?vQ8S^0;+pm_v{pW$oIacaN7!VlbWJE$rk^b+h4G>^#6~cSJ=b{H#ciHGlbcL{8Pn*myzi!r$#q zr?qM5^Bvj~W!2u&BR>xd!h)bN&DTB#rUuANZ*WL7ZTE4OEa;jwb z>&n+T3jTbP5!;ihc$s>ekW*8~wtD_UZtGX=ZPOW%yU8EIkBm{h@XG}s1Cx#DkW7E|AQLq)8fd)@B@e{lWSVjv__m>Ma} zIi1}#q}6(pOv_=#*!`G+x#Z;;O5A4?qh5o5Z4oLybu_4SX5PWH9bL6Ruqnq9$|X`< zwGg1!03HY8ECB~8pE>0|CE^uwMfU(yFY7SBPyH-T^{y&`MPF{ESR#TOU(yAmyMuv) zU=Z7WyT>=TgHQoRuZFUgR2ajwiNZJC)i7)$Plf#_Xk^h>1*9WnA6EQhNcw zH<*+w(o$}CH+JKEdDJO!_*!Vlio;7i`ysW0Wv9|h$&{;aT-hJ~XfkhlS)KT>nd08E zxrT90Af&Rl85$aV6#C01O;ao{tbkAdA49gDRAC9V9%G`vKD}UGo@h)D-CBD5bC?Le zDouOa_EngN3k)3z_yhum8O`7GKLrO{z(94wegYW(zn^?S@Nt(8_pS!5PUZeIKe^vM z`lH;S(4$FXClnN4R$u>UI)zP6bg&cwE{>BwXr68k^44=2vK7rpG-Gd`G?gO#VJmVma zhVDrK&l-?V7=xa+2N@X|;Gr3C`PcoT^X>mcpM2)aVwfo4CqpN|rWlO-H_*`A%#DqJ zEFk}FFAOqNme|-TO4UGSF1(&>#n7yrKeHIoLY3xDp zmFgRsg~pU5*MPGeFn}TVO&_YMk<5|=Wo7nlQ!a+!TxJ(C|L~G6VE0u}2>9w&8gK51 ztIt#klPxYT9t<3_<5!K%&)<4hQBmUmQ6cvDo}`qN+en$|#yXsTs!iK$UTI1c6cpSc zXmdtLdriESc(Op#BF|3SwEj`)nSC4fU_t6yJJht=y1#=rgw)iRA)>SDQy~i+P2T{% z%=U04NdG?7PAU1GtOSTYelbS4x2JR`GW+{hh41?9{mAxy=Uh8j4NB&{yu4}JboI^l&R$j)YnEc5`$arkfYW^6!;KDVu>tJ<^1`|@7W=iNx;mB5AQP?iG`02M zkG`tR?4UMhaYx5R-~P7aL+{W(z5I*23;Ct_*uD6g+S=V9L8fign)1eg`o@GmesI`W z&Cp}4Vm{>ye(70h9^=@IOBt6Hvv?fx``aXcc+qAZVmrS*fB7;1Py`A+Ss?8&zkIpp z$T3jlYD=ctO?P)cmL#pQu+=yG71qtSMC@xlztoWAUAPbE5bdJLkbV*C{c;tZbZQfU z%df`%EUc{$t2Ru9zVMjsipSUoDdtw3Qwe>24!d)GO<~L5(AYSrKUYc4$c6Hv?`%AO zlW5aV?)-%kqugJh)j@IkE#AZig*eOe(o*Q~&wDZD7LoQJG_^hNABpJyY>fI{m8yBK zu#g*z$37Ak6gUi_?NiRaJzx$b{sW}!4f^>D*n@pn7%;>NJ?g40<~ zOM<@G8{XE|K!WAhT9*_&{(cfO$WQOExJRo43i&g_R%kX^&zY3SIOkJxb->6w(5B$Or2pPg(iDTi zWaRUQA$ju}rm@)>SE^1`sqO5#<%`(V|K8vd%5FT|8sEjQWqDM5Q)>WnXMdnTx@Xjl zH({H&HSQI@BDVisuX1cXl9)4ih6rAcNDei1FYscaaRNg?`|R3RpcFng`t#d`Ex&5P zrpwqy%^h?mYC@dhzcELdn$VY3t{0~r5cID3LDLZ#Q{n4|p@i}V*RD8*jdAa`HMJ5U zA)z&?5tI&5Ph46W;}P@y$PBKq2_UxMi75IlF579Y|LA|JnRvz&pQqBj@CARbcr!aI zD}40(!ZV~*LWa!cBo?U{8ZzRxYArfT&yV%icZk%~ygHjM#?o=FtWQ*3?{w`+<_Ndh zQTV20(L52p-mgp*JZkN-M!VvVSILmGm&hO`1M7-Fh-+2Vb$_mQ2vNDSA!fU^b6=fS z7i@8bxCesoNOkWg&z09cTn!TUJFt&lDw*!BJIYEdaq=H1GvQ6OIW!|dAxMfmh1?m# z8_)Q!v%z!F6Fn%;uoAJ(SB=<_-OqL8#_UNsE^3YHCgeYnb@ldMc(r0?g}QS%-qVgZ zao}yDE>>FK8uwmbDLFn|jjWLI7=10;yd-%UgNgD0Pam%;Gt;AXylZ?JK%WtsS6ls; zr{37KylQAj^f+2eiF_Tpy|N7E_=K>KA9;(z?;Y0xSzUY`b!Jq4e!X?|jl1u!iN8Jv zHgfE35}TcO>n^FDFdB=G;- zvN3I8VKJX2=bh(47%i`$Q#%;2Ff*HNntx=|1&b{?@N3pb%#GI~0}S|>8tz)RhKIoV z5qBtZ>gQIUP-UFQXXcU9mu)qsZ?8S66I9Dxr!z>FxB>}T}#^{J0@9gcrEIXb@H+g@F50xHh- zOroZ3bpDfDIu6IW0jC&Y4GwkD!TgV46rF{GwP0L;-BmFDO}YO^KWXBaj@ae^y4%#; z+#D3@0TgaZm|!?9j|WioZB0i;?%^YkIyr61E!|yR3xJUmB>^UK=f>|a8VJ%&>2)jw zdWUyU8r-}VMM?wdxQo7?L0oAGmQY#iVp9IvbMttA`Z(OIeaRPtA?nYTONpUjxoB-| zy|E3j7Qc>+l@+8Z_lM04}mw((7E<8P<48xd7*;LG4|nW zq+VZY?iwjAOJ|8+N92b5czmF8*)H%jY@^#sYiiQq_dxMz=lddF?YIaNP1b!_3+Sk> zz!{*lERY(``{QJ)!nNECbdo5+QBp*hd})J})mX&dFhi?Y?22^5Zii zSGq`Nk~x%qKD>PO+qS`hgq8H~7nQBEc(t9GXy2nE2r4)SpUxiOKm-;1HJU>IP;!kw zqN1WA*}GPNQ=gpfobqQEHDM83TU+)XDRKzfgwLEsBw9}g7bIRV&}`%kFV2mZmzNif z5f(E5r@^*aQ6U4^H#qTy9_ln}ANqlmk)Od4@2Fa9{I2SxH4mHyZiDLpyhou{g4@85 z6?%==n?^*uIoq8`_Gm8`Xu{l}sgR9tv7AGrq}DTEt^cKtyCdiOsz|OC=L(S$oUY81do31#?$mSVw?+WU&RvP2&;iXjm?RuLg75 lo_zW5IBoxps|dW>i6nHy-xSs~b%E!mt7)WBaq-&ie*zEg" ] @@ -1494,7 +1618,7 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1629,7 +1753,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 50, "id": "07d1ed1c", "metadata": {}, "outputs": [], @@ -1662,7 +1786,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 51, "id": "15f72fde", "metadata": {}, "outputs": [ @@ -1673,7 +1797,7 @@ "
" ] }, - "execution_count": 54, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -1695,7 +1819,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 52, "id": "5e562416", "metadata": {}, "outputs": [ @@ -1706,7 +1830,7 @@ "
" ] }, - "execution_count": 55, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -1759,7 +1883,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 53, "id": "5ef68f98", "metadata": {}, "outputs": [], @@ -1784,7 +1908,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 54, "id": "1f6e8455", "metadata": {}, "outputs": [ @@ -1880,7 +2004,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 55, "id": "dbc2c340", "metadata": {}, "outputs": [], @@ -1890,7 +2014,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 56, "id": "3c423adf", "metadata": {}, "outputs": [ @@ -1906,7 +2030,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -2044,7 +2168,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 57, "id": "0de4a8f2", "metadata": {}, "outputs": [], @@ -2064,7 +2188,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 58, "id": "fe4b0f0a", "metadata": {}, "outputs": [], @@ -2108,7 +2232,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 59, "id": "5c826f0b", "metadata": {}, "outputs": [], @@ -2148,7 +2272,502 @@ "execution_count": null, "id": "546fd0a9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", + " estimator = Estimator()\n", + "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", + " sampler = Sampler()\n" + ] + } + ], "source": [ "Betti_list_vqd = []\n", "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", @@ -2165,7 +2784,9 @@ "id": "34ae870b", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "print(Betti_list_vqd)" + ] }, { "cell_type": "markdown", @@ -2227,7 +2848,7 @@ "\n", "def quantum_annealing_eigenvalues(laplacian, k=0, m_bits=3, alpha=2.0, tol=1e-3):\n", " submatrices = split_laplacian(laplacian)\n", - " sampler = LeapHybridSampler(token=\"\")\n", + " sampler = LeapHybridSampler(token=\"cSXm-453996d6c04705a310ac4272cff7149594c32b5a\")\n", " eigenvalues = []\n", " \n", " for sub in submatrices:\n", @@ -2266,6 +2887,117 @@ " print(f\"Classical eigenvalues: {np.sort(classical_eigenvalues)[:5]}\")" ] }, + { + "cell_type": "markdown", + "id": "29fa10b7", + "metadata": {}, + "source": [ + "Attempt with VQE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "13f50e19", + "metadata": {}, + "outputs": [], + "source": [ + "# write your code here\n", + "from qiskit.quantum_info import SparsePauliOp\n", + "from qiskit_algorithms.optimizers import SLSQP,SPSA,COBYLA, L_BFGS_B\n", + "from qiskit.circuit.library import RealAmplitudes\n", + "ansatz = RealAmplitudes(3, reps=1)\n", + "optimizer = SLSQP()\n", + "ansatz.decompose().draw('mpl')\n", + "\n", + "observable = SparsePauliOp.from_operator(Operator(H_1))\n", + "\n", + "cost_history_dict = {\n", + " \"prev_vector\": None,\n", + " \"iters\": 0,\n", + " \"cost_history\": [],\n", + " \"parameters\": [],\n", + "}\n", + "\n", + "def cost_func_vqe(parameters, ansatz, hamiltonian, estimator):\n", + " \"\"\"Return estimate of energy from estimator\n", + "\n", + " Parameters:\n", + " params (ndarray): Array of ansatz parameters\n", + " ansatz (QuantumCircuit): Parameterized ansatz circuit\n", + " hamiltonian (SparsePauliOp): Operator representation of Hamiltonian\n", + " estimator (Estimator): Estimator primitive instance\n", + "\n", + " Returns:\n", + " float: Energy estimate\n", + " \"\"\"\n", + "\n", + " estimator_job = estimator.run([(ansatz, hamiltonian, [parameters])])\n", + " estimator_result = estimator_job.result()[0]\n", + "\n", + " cost = estimator_result.data.evs[0]\n", + " cost_history_dict[\"iters\"] += 1\n", + " cost_history_dict[\"prev_vector\"] = parameters\n", + " cost_history_dict[\"cost_history\"].append(cost)\n", + " cost_history_dict[\"parameters\"].append(parameters)\n", + "\n", + " return cost\n", + "\n", + "from qiskit.primitives import StatevectorEstimator\n", + "estimator = StatevectorEstimator()\n", + "\n", + "from scipy.optimize import minimize\n", + "import numpy as np\n", + "initial_params = np.random.uniform(low= -np.pi, high=np.pi, size=ansatz.num_parameters)\n", + "\n", + "result = minimize(cost_func_vqe, initial_params, args=(ansatz, observable, estimator), method=\"COBYLA\",options={'maxiter': 12000})\n", + "\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9ff4cf22", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.plot(range(cost_history_dict[\"iters\"]), cost_history_dict[\"cost_history\"])\n", + "ax.set_xlabel(\"Iterations\")\n", + "ax.set_ylabel(\"Cost\")\n", + "plt.draw()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2747e69f", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract parameters\n", + "param_numbers = ansatz.num_parameters\n", + "data2 = cost_history_dict[\"parameters\"]\n", + "iterations = range(len(data2))\n", + "# Extract all 16 parameters\n", + "parameters = [[row[i] for row in data2] for i in range(param_numbers)]\n", + "# Plotting the parameters\n", + "plt.figure(figsize=(15, 10))\n", + "# Plot each parameter\n", + "for i in range(param_numbers):\n", + " plt.plot(iterations, parameters[i], label=f'Parameter {i+1}')\n", + "\n", + "plt.xlabel('Iteration')\n", + "plt.ylabel('Parameter Value')\n", + "plt.title('Parameters Over Iterations')\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "id": "c098599c-7ab0-48b1-9e33-51d22502310d", diff --git a/quantum_test.png b/quantum_test.png new file mode 100644 index 0000000000000000000000000000000000000000..67c54ee8c07557d3c1cdebf53fac8d528d3acd2d GIT binary patch literal 42384 zcmcG#Wl$Vlv^Lrd4gmrL2_77R1q~3~T|;mQ4ncxD0|~*Mph1EY+}#Nh+}+*X?e@Iq zeBaMob${Hcnqq3`?!Bk?+G{7-_7=HzPRUo65L5!d;yXIWu>i6DM4 z=eoq-9}WNDy7o;P-dhh3^W%^-J%nL3B?10Dt@2My`9UaX{vq^Z{i-fT38p$VInU|K ztVw;@!_=`R6}LWVbY|>H1M;-CH(SihJe`{k^(f%@;Aj{PCh7lu0;HK;E4PaiV&R*M^0jv(Jb4 zBmeyQL(jnx%lP)~?RvHKbWFVAw&SqCwS{UIiTg&ht|4me!NC_Ieix?4ZK3BkdE+wL z8@qYwTOBU}0Q@0v(zt>*EAT`-wj|8Dbx|xWH=kM1Sn4-$?ylzTZto(6o)W95f#c?D zeFZdO$>XKw-Rf!m_1f7=b2SYOd_CXCOQ-Er*BE?100Fo$M$v=^c3i&9Rs;+QJ$n(o zx2N!ae!QN@lEONzw=Qjt$K*d?BSU?7yk53!gTl!OOsi*n_`n5hk9&>u#*n6Dy z(e1X}A5k^yr%#;215jxS2#PS#$w?=cnv@i>!1Keo;98`LhK3~g6G^J8t4|LRSQ>UH z_m*3I+gdcO;&TLZnjX&johDSIREE<8+^yUii`sRjkar(lP!h(564ad5~-R{Yq?muHo*67K}q5Gyuh|YSV;{Qc=7Ra6s z$ax}Q)o0R|i|;m@`NBS9-wd*MgRk0Wn4*UQxqz3 z=l}I)HSm0U)`dwg{}t_(WH^yT-Y*BV*DsJ-(%+WU`A>K0xo`dyoVQ(SN_x7RZaup= z4t=>vYyvRn<}DL zWS@$)|JIs*zPMSBqznB^nP#n^fH9aZlpd;%Zxe>7k*zM>H<((1xH5?bnALWfy;@q`BaC03|@^> zQyNb<9q6o1m;2MKhK-HKEh%<%Iayg$hK=iyLQ7osE5hl{UwjX$mwlg`>q=T$mVPEB z?KYft6aRHSZno6*qX06x93Y;yA#9Y?fMxVy?S@Q z{LE5PIe%EP)a=<9@qP{E6ZH&tXCRjA;bLRL@>Hq8al`Fa%5Ayghg0#djeC1m3Hqh3 zgUMX|+n2r%r-A*3Y(e|58)DGE5O| zunVu+1~@rtYR5#Ur<1$zueuv~(v)4~0&+UsoSY-rQY0cewYGTUi4Z0Mrf~6!iGwnu z&YPN3s02|C!+tO>-I+S84r`m$73PN%;o0pnpGOa$rGsv(XU&T!385SY?J1{D$_%Ev zo{~U&V{E~A2fZo_>}AEE6K2gaXx=U^YN&9<1)H1*JTQiiA`CR}Is}kIa3YjOQFnK-i(96D#9QXXTNrDc z8J;tcRE#NiT*1c&NBbvn#N@Nm%g_#+#Rlik#T3>J^{YRKEshrIALc5ZPQdJqXTP`x zXRT>ux%FEta4hki@y=F?-B!3T06oI80^oMG*o-o=6Ff2Hci7wCvRRH% z+vaqNvli-^lwA*&tP&V_VP9w#(JHM(OOdTQM-7B*7nZiHaYYqzM@}+T42vI`|9+(r z+AAouS||U#V)$UzJblyI51be}B^1bpqf7TXP#?&n*lMrrKz+=P6p^O7n(9bGvxa7VG6VzSIbGYoz-xnjSOH-u;I&X44!q)fdmc zeiAguSY%9O1i*;52pS=j6Z)7n)O0n(yG_Evq6v=>Dqo(z9Ln0#YrVYWvCmA7Yq2Hf zx?fy7W|^1Ttrk-x;y2q|=JC!9m(qUWYtLyMYbZOrU*7|Qf!iwL5h|gLx-D3Ew%2xl z2a>IQj&Vmv6a2=+)rau*e9%~frtnkgR<+yc1j`>(Yg?mHrFcoxDOUM>!IL(4PRA{I zpVU0X)PMW$w5a2Qclucx!_XbMg9A|Q@V!l^wKvT?TG$Nke980p_5m!pPHHiWKVAURBm@2% z3y#CimwS`_Ipe!^deRyi@%vz=d(rR+R;5iM0gtMF6ZZNa7{ps1U?urB*X9M*#*%X5 zo-^;u2l|5K53K@eW+M{J!2Ky5JLjK2 zf7UxVIMfaHZw;o1&9xQj){mLDcHDBH6EGZ9*Vor$m%iawGAqOhgC)VX_)V}ryTU5X zamr$1z`)N>`nz*wM)1Bq`%}dwuQ|->kT8h4N)2RWg026>F_hS~+|ssLZO6#5e8t1Z zZ#X+Y*E3IZr>z}{HioY>A13ozoZX*s?5Orx@k7?drIokG!^5kusI0uLf9FY5I7xKM z2LP%mFRs!}LX`nw2SXK+DX+G@>Fn|MAf|G%i-I6ggd3@`Y9?RR%-gOn=6+!WktVqR z!EFY6St2z+;b0%eUVs@2d_g(kA>f?`0E$5{d{_7k%X{$UAmjD3j!fVSrkvr@RCx|sjEs4~ zn{W7b3v$}<*utHWj(BO&vVzrUzmh<2ynwjSpeZWmJ)pS0rzj@7mNHLATeac0)LpR#k>NA27tm%>DA zv{7)RBYi5B;B>ct-OO$*s=j^EeKLZ}YdxIJ&c=eyF(H+RzewHmpT?ov{D&UnwHWVU+R#O2y$MUl zkt^>*Y(zt6vB2#m@1tl+SIoT7Ki3jV+^@hR=Uaxov4Eg~-sq!O#cd#_Rk&Vo#LB^a z30(}zchqS`L+uc+ryW8{J7 zwQ4ErpIey)lFuS2+m!C-j5R^&d-X7?STJ-p{8))qlMM*+T}tIfvVddEGoq z%1w6Wp8SVR562T{PskHbk2rHKbDUO>4sbc_@x?lQqhm1#`dR&Ij zt&Fg~Hi>6l$Elzk8w~OG&rj_-l4Hn5AOrTX>FG*{h=^+n%y4ePt(13P&jr(+<#@P8 z;2t~7F=ODs`2M|H{i$zsK|c5CvEU>w_Lk3E1^cq;RFddo62kc5@>NU8(Gzn1Y5;-B zaYAr5DF@5%h|PYPgcLa~>3|cI>(1cmZZowRhr4B^@(d(MwUi|`C01Y@}ivs z0w!FK(Brtg-XD6ep_18r@mR;$)2$Bq^K?#_ba$1b-lp+sIN)ukX?4tPDC_OuNF^O! zng=7^FE1QZOcFwS3_s#Px{n3d``ma`(0AGFol-#Tz0Su{*H)pxFwR1IjPKTXE;@K! z#9(Icid=TB9^qwWA|Mw!ndS5Gy{lWg=uNs;@h+5j^({=0hWBDj0(tcDe0r>3NL{V8 zgDIKACTxqzknrYH3Gv8H>vMEv^-uP|7rFk=_i`gPi6i@82f03ke0n}Sn< zS@%FvN$nrAjtBMoEI!2*l99RkuFDe4w@`cQr&%2jJ{(f+>0ZA5sqa(IcyDuiLS?1Xl*k??`R5l$3Oh1Z?!i0b z{B33)wfW5B{LODz`QEeaWUs3ZXWH#9zTHbZpNZ?u1UF75!tM~Xz3YF^7W;j9QO@@+OU?`D4g1m< zd_K1UE_&Wv=;6xqSVGFn+v#*-Nu~9_JNPJ0J>whU$ zOixBTZ!1kl=1LQP%GFg?{N!c zBk=VQc+JRIrzhY3{7C*&?-XnAdW-nY-*g~_du%)|9Ks|OVjAMaI0az{w6Ez zMMaUG)a16}b|%x@#PJcBg!5+QwTydIcmEOuF2w7J(SC8Hlh4Q;SISG9Hjwhx|J6_R zyXKHT-(~C2%Xc@V7F{zTk;O2u+X|RGg5duph9RY3M2Ip~mG`p%SIZ5KfthFkmqD46 z$$QP_iYwxN>xsAyN_{aOP1$b*-g2Fvo+ZWbz2zR4y}tb+^Zq`KP9!U5dPw)2 zXiV?<;O3ykRCRqyM~|<`V>_t8DX@dGn0FZ>+LV-sg9Oi2h-JW%1bI@Uiz$k{YUi9Uy70= z5QC~`32Dw}>2{*rA?M(++$_Ff*71g&I6Q%u{=uR|xva|TR_M7eVV~SPY%bwhd{;U@ z`GXz8$gF}luqpMv+1dNd8rVGIpIV0lK;UT@V}xBgmtsdNrG{I&{=G5!qnF1p+iePpQj}Dii&*y93LttX(@j_b2HM;tmylzQ$7jWvGHJK?E0H&fR-PU zA4&A09akj+~DL;&|KkIeJtpemZU`kItH(<`bo# zH`e-vdEeQuZ~B}sW&iq$92L)Yd8F`nJAF98{ndzVnevJA zDII^?!v24mOG<(wG)2KwRNuhGNvKg22Iw-JZj#Sz#E5;Yk_g1*$YH{1p_IHOb2>x)r_mG^vd>S@3S|-Qs-mG2f@J6vV zAKK7ho*(9qlzqP9VXR;Angb9S_2!1ZfX zm(o@#*r7dg1w_K;{#4L%&;M>J7!D(6qdiB#uZpIQN2S~!4P5;t7>SqNVs&b(SfBKD zOZ)q&#@qZpOs4WW5NSglaO9)I6BSBueynEpeepjbLfuDs-cl%cuvg1gXt8YV_mfa$URRjW8-=7Ay*61Zz%p>W z2-4^~=@AKZo%7k{62M^ppU_BX~8SXuWoGU8&Cf>n1#w#as`Tvif50Kzj7($-+4{ zl{-k`mdYrDdScFp*ZV!w-9%jw-f0D4^9qU3qGY>C0FNn(Rl4vyK@CW34a553e4>Ex z9UL5?If;!;)%}s@jYA(I!3nl)#(n!2Lw0r!ck0shyz~y+`5GsN`i6!&Q-!UQRdse_ zq(}`ymlD?#Sk(1N(=6m_^?RKYaKe69Tc8qbvYHI6`wa<+8JCrT9$GA%Wh<+!$ z&@|y#)oUXv_fug<6(@oVdxa4pMZg9Cy>Jk=Arnku*@gw(KXuPOf>QWS2Ab577ams6 zUtc>Hoej~&uT^OO)oy)QkGO2P%0$0?g|}a0Gr{gFXo+1gg2IJLt?+N)7-ii$4e^*PR=M6p>zj2MU=a_%*vsS z#rCTPzCZP=-T6eKbMZ{SVf6QKJGF<|d`%CY9uIoO@|LUh+UGhHU`#~F?3%}l1!bE) z2&jbp9NpXqB3=FvGrcg7Flf*?n0_AdA%F$t&Q zn$|nU|Ml9o-Q=k|)j?w#e&pI(j0n!jblZMDD;`T|PeZTm&TSI76F<(xwM#^R06|FL zTC55G&{q<$t50I(Y2l3=Fz_Bs;ZM|ZTH5HtHZTC?;Loq32cv8a$d+`IRj!YH&p9hg zGN6oRgKPUU7JSuShyi!(zVFPUQG`23j4}x_`^`dk-4yfWs#IjIs9)A|vmN}(8C;I8 z`Q(ew21|luplIF|+$0lAe_hrY^o9FR^QA@$%XL}b2MMOYv3}M(e_SQ%iur=AIqSX# zW2s&nomO38h0>PpgtyxRxgBbXw4gu`iRAKdX1$OLE$hv#_GnCmOo6oUZcMdeazeTP zVfZtDnz)Q54TO;4?;dL#jv9Or3OF(^Y~<)Pp5-pIt(zSl$@X&n^KI!ehBtVXWEn;8 zjNPP8hJ1Cgt2h#K3|*H&?~DcX^8N|!(f?y3q(9Ejy5T$LIhqrj94n9U_~7X+P|wFF zt-0CTn=ux;sHSiQI;h895qEAeL5VKO!W(%`-vluCUlUei$RFtY1JDalMuonQ;d07< zPZ^O&&wnN@Q95mEs&bt7B=_UYp~7}nl$cH-w>VERXD+E$ZQZ(5t>@p*s{OhB-q|HZ zUSu+9fs#f=FPo=#Qs22y;_*5q`UOFV*tg9Q>QZ1P9&?_ z6R|%jT%k4TzHq(+Vyy zsL;~&LghwCMg5zFoqBPqo0n)U-+!O@3OZn9n1m6V!NCJKLDvT8fUquG+|N;{>!$PB z4@%DodZLTL>88&3;QA7w>4xK^QwJU5j{!~p(H*obiNrP4$@K(zDnJvxyPfoTOedq?NU$Nk85LO zJfEYcBS65egeX+dHq3s%+J#-pJF(waVTr3%YZtluKC=!z9&$8Gm0?>7V#}NISzVKU z4cBaCRR2U7mkT8=g0kcD(=^0^uGS0ZQIG$@RG{nku4s$RyhFrmw&`R(@rovh_zmg5 zusoYas~ZQidj3ZyJSrv{W;e2mWQiPJ6jv%j$w>0Y)dE^_tu>a)&y#n3)3U&y06r`UMZ$@AL|G{X_nK3Y2-q0(#78Y z#@E5fINM1b`yWhW$6=eLVogWN|Obc`1r|g z<9J$Q#y)e=gp2;b)p|M>QWaMudJ{$q*?CU3Xhs07RjIR9t;ZR!iP0+Cn;__X+WirF zgFvCpobx5u+CGtiJI(6$3uwHN0+m*lRHgqrc3)y|qM24&rTk|O3_^;6=yN;@zSv+i zMM2&_oc8&nj(w2;A0DAde{Fa$t@pkiKW=dX1&Ap|egOy1OO2c+eb;Nn$8xM^m$yCX zFP%KiKM}mXzxYkYvn1>>6^sI)q$26pvF&-IFvz|kGK&@m0-W2&5(DxSoXPJ~0z~MN zz6++sg9re`80n#LQ{j^x5(O)uy)lR;EGC2c+T-G--PUmnmGN@R=QoW)v&P-Zx1dt9 z8cY{6WFdQV3yDHQQ4`_w(Upv-;dZ8iKHdk00qhl$5!nMqoo?gO``hVxA2Bl6i3vAH z8-?3Z!6=eefuj$2{&w1zr_O1kJ?7m8NSn%kL;CuAt710ayDujH>P-;(@1@~}!4wGQ zc5Kg+O8~v$IWoDVcaurS(l?%e1=JAwRuBlGWU#lRf_*}L&t@3#a-Vny%osl$a(=wF zF4xQlRr98#L9>t7SkNg$h-46i5!(nPswBn58#A?$Lfn_fbaUC?{}{hDafTwnJ3pQx zm(DA2kqb-K(VKHBPz)$aHWcPt0oY)nc9Mddd04uSbDc3Vxo`_B_%2u*tfZ`W@gedAuF-wL`(ys^xwofNie|yFu zpAp!?l+`GENlIq^!bC}^EgfLP#Wm6L8HtS0njb9vb4muvz{*b_(%v?V5p@F zs=JK^d$}(=4m0{Rb5hb(Lyb@vR_r0!7RmfE%bppAu;6>JAeEKywi@`ggOp zu!J%|QHr6{@Wj33YD%ZzDO##|Ub}dr+LpAn9O9~@Ctwiae8d1OMh}R5qkq0xzddW& zPK&HSQrau5yg zBl~;x8+AyiX#Q$6rhqPj2l@1Ij!mAzI!{f@X->k;*^%#3(n=)~1sDDO{pLfy1*h(_du!4Tj=JHy6lEowD=sVIX~Uf*-;t^o%}jH zjFX-?f@n}df>i85=y!@yYWcmXFV>>#&RHaV|9Y-aFjAqpP}CM3K%ut2vHzFC9x#W` zoaxOvkn<1Oyw4+*FuMQb64=-`38L~jFzT#hHJqNSt^zfp{I#P-Dzf1gTjs+=V$I6@ z{=po-bYIEtGY8o(1Z6JPK-MV^0+3CY90n$G99%>bjMr0oTp?XQmaN`c6QvIWQsksl-$ah0SZpyU~qPRk6(6W%MfyeRD zAni z*5j7-bQ3!Zln+xa-V-N7jb6NknZJ;{PkAw(wycTH9zPQ`c)k89FO(oOjTexrpz96b ziC;eK(@Z8J_|v`wpt`VzFtvYAr>;KBp!C}0&WQ6_A+3Ir?s0!PfA!doAdC#u8I!~U zW3tMlLxmGIxQbAVu47zzLV8HPECvNk(Hw;#Pa?G|SJzi%yN9(@l5i69 zG4Wev*uwQLv|61%RELS}R{EVC$te4$ioHZ-9i4*N7SwtwO2ZoHltll?_Ei!CED74MyKKzP z&Yu7I>RViN>fj?!XO6!_`REu9Hzc1Lqwl*en7XoAnKq`_KsC1)l~MJC43(XJ;i@5 zDsu5GiDN1u+p^8$z@KmKFQ7vI{FOJ>J3zKX2KBfI1#NmN56rfT9gC_QQ{>P08c?LH8F3O9K*T`R}vgt2b@|2M6 zg=59zoGlQ2Z_zhNxwRacPOyc+VwT-MynWurtW%@hggsc&+0@$BM}kHPRha}bQ4xTb zq##5FFy$IG1RmIwI%_};soIM#z0_5^_^2ne)zxm>L3t~~53ckRJBIk^M)XSv+h{n& z9au2dKcFIj&bF{?GN^n?WAd)|sLcvJiC`!RNO&IA2Qm@!D4z$CM`!)^D?(PJ`$zYW zl>bM_kRbm`wdfxWW^5b=NN+C@R}5b~Yu*r-wHpzCnj50+Mt)jf236tWYa^Y!1DnbB zWB>)9zMh7{F!PeE=R6Z~uYgkE!jv}F? zmZX3ssyMh1aJZtNA-i7ba^1|95Go|*&bu3kxjvlm%LDCoNN6V^O(8WPaF0!C*WQcI z=ZDLNqj*B~>ha|_3Y0RYZ($a{JAHLFqt#ND1r6chp$%RQ4e?}&tq~;xW+>h+mnKA7 z(MkkOH@I9?TK=}rr*>QyBMJMrSIZ0b2m(%bn#s?e%mPhq0`t0Zu^gh?vc^*QnA+ePdu!V1HrK9Po`hGm;9rFZz_+u31K+4_1OjEG!UXdXM~VZ?rJxN zhkwShQlgMTpVnJmk1dfJmY?=qGb(-@M}h@pyeM3hv9{8-7+YcgnyQ%4PX62=P?tfx zT$=clZ~1%qgTGx*3#N9}@3h<($1>XRTwq{*v^tByhBI00pUskVz_pG?8oJ^PpawJg zD`$2qpm~is1SLc42{i5W2h2FCJ+_iL*f}_E6=c-{e?IHQZ{C(1M<>YWTp?+jzSG<& zEnk#1|8P%LuY1(mw~Ko}_EQZhb_(p_1SmqKTfE9|03@-Xpa8x!;i>#Cd4%ZkjkWOJ zUDIg*ZN3{+XNF+INJfyz1Ox=E*<2mW{yA`+jrYEo$YgeUF37Tc;)>m!J?|dRyu7^V z>bNnZ&x8Zx8!C$}tk*#W6{K2S`+}H753!hFSc(^L;?w)^mpTEu{u|sxTL0IJe;O5% z{2CGbTy|-9W4PGHghm)9)w(1+-u-cO7WeL~r_&QpId4#rL+IvPNiw_U=(1~*$p6g0 z(mg=t^&bgayP@&!;ehYtYMfhF|=bgOtl=J>H9lzTd5 zHzIOMIdD?ZJnXnLy><0)x$ZEuZM3t0H+++SCw8*Bs#G@BBPA8mWE^9BAdJ(8(Sy5Yq8wxI9a<3>ic z4ef8`jI=)yD28+g1YT{|8a8>~zJVM3JWa|Gw_Jq@(mz=6svkq}BMEM;8Lg|>aNql+ zwmEoV+Mszx*=|{0joms8*R$cw#FHLt_Zw zoc`6AM$hf_zDtU@bOQhiu-*U}vI_bYR>12Y`pwb?+Oj6K=jHYe_Ej}8&E@YxwAvh+ z9=`|aZV(C6GG&FQAxQ!%@E|QkhUqEzqTb2xOfU?+X#EJOoZv#kDY7KbOf`@RQNi+D zwaNM{rK5O*K1vBYGoG!=- z_OSOVtF%-36`u=**7>e}_=5R*$wx8=yKSez?J<&I5T@s%{&$C5B2V6le}SmvVT(uy z{tE|FCr82aeyPfCPC{9xu$9j?=^Xc=)1K}*9mu8T+;^9I8{E-f|LZR}?q`iIuZWS& zP473Dzu7C?2#MnRIEMI(W&-%P3z^#O;*-i5>g=JQ)#Rs#O!fF*&CpbeF8UzL^r2WalQ**7l^tWY>0Qy z&I`b1Ck7C=9P<+3tBzXcoo;qNH{&=Wj4a2~9Mp(d0Y4>=yDS+zQup*`{&%_*luQE2 zO+;-wEx8vG66%*XzWHnI$PAz~mw&uKKyRHr&nPL|hq!$n_jTTNIofo-X5>D0w1Aim zZD<{h32M8dKq`3`5(L6*VUzzoI#+ZO2oZ!bN@RSO{>%iz)eZSy z(n*~^qCqDfbR0hg5D5pra|}B4&U957Qi;#qoV+puX|CP>IUQ#ik>t6QA)b+?{zSB8 z;pUEbqhhw>29V@-y(%|F{VL!uc}z0u3YUch?pFjb_Jzf>JE$|UGGrN~%R9Ni`XJdZ zLl@Ih6?XtOi`?#)c8UX=#3JX1VnKX%Av$!{L-uS4DX(1)!&O400bvgqehUhs*kfl8 za>AyBTFtl7pTdP9ruK>d-Tu{?aQ$>$06n#Lp!_lxMAE3STJxzHX(Uz>hIxfC|JyZu z4ia#gstB^X)GxW{d7nRwUDH#6O{Ehj0~{gdaP$67n?G<&#&%NQ$ewPg!RJ?CQ2`mA z@ZhM*rYxn&*ur_^G;?{>jF8^QkDAiWM@_M;$6yPcbFmJ=3?hl>N`)gn)APo}Wq}ra zZx=ZX%*w)mgSfc7%@51oDC1bldpDeOli!V8Dz8Xff4vtmxh8$4PFQ4-Te;)>w?ieh z;g#h&Is}OT8$|ynJSYq-zMpQWsX=e%hNxK}^dtL2zA<2yXqYO=@n&s35X5??KrEO^ zS6iaQx5u(Y)JAv(_rKBbX9AGa>A^2Pl>hMVVn<}NcCkBwIPHOz9Gjp3eP)@7|8v*K z?+)shmZZP`#cG1>sKo!XK)HWWgMoi#slhw}YDzhNR73^+setJN!_7xN=l8!Ag&l@N* zG*N;CvwN7wx}l<_W2k~Pf)@tvUU3mqS0F`^MxvIR813mv2-wy6vGNFAHx1VZTmeq$ zl?z0|HQw2GqP$=(z5YMHZ|?^9^Bz?^VnzPd-|aLpEh?#)k}SQNQgX2ixEI*ic$7Iz z4vgYTKL=D?>U9N0wcfM97Q_KIX^R>pHmyrvRdy%7e`G>wPAu14hIWzePXXr}#`Fbn zua@$n#(sYDo&HJ<0NivJ zL#=AsVU(~&hA22#UaOgjGKSAG!!XQL$mm2BZWjNA=o$HBdDh$FryspfN=#q_a&Es2 zaBonM+juoX0M78J7>oo+1Scc&M{D3Uxc8-xW#9sFw4T<_C?_v(#R0_AqLn#Bap2>t z6)+uP!AALslJO2xuT5J9j`%I3G;6RV8q$Cf71V*wPyBT=x)wYN7`^|^hk|mp>8CEgucK{Nh~&cm&IcT&zIs;^e#ZcrP(FWF zbOJzXB!eUK@c_Bvb3W7m-4pq$u>_G|!jl}PAu<*!1zt=Qt+MuZ=wTH=FACtoGEv2C z2j2jI^t-5Tm_%w)Sd6jPy}V!2=--li+0SZuysi{gocm**>!N8_66{|MLioiD?E3u* z`qdx^B?<$s4yEo4Tmt3y@ACRO!K>28O#zJ7kkevbaTo;#^`YnMB~zi&zdi8^DHc6p za-huUa}J7x!{9(C%!0rzB&q^|FBlcVmD^8 z_i$JnbziN?G%+{FxHMo^xwnle+%O3c2?)9`RwJ>Al@bi+Rp!!m6A71&jGK!Sz+JRT z!W5vmj8wa6ibMhy>cCm~fV@G<5X8^S#kj9|i1y z2I71;Cu6p{R(9sbeabu&0sr^9pb8V1PDxDoRX43^wi5uN*db-N&DRXaWu3j6OKOvk zL%(=qwY9aoK$Ft?$jA#eXZAc{XOk)AKS;F0UBVF6`Y1P zt@YAJv^ksTzp#tkN)|@Yl(M_8FrB#XqwBCWr+-V;Be-mlo@GRCKprwMAn$`~XlV#Q z`LKm+3dVQWqKl8z;d|MLFvRgQO9Y&a!jc}XfKJWs-dXNfe)r15f!M&vqeC>F&yQfYp+ma!A^7;&?ENwMHU|QQcholg&LiK~I^9Jp{4!{}$;Ng3-G~Ck z6Bo3d(t*2mM~_Lb%}=if+)vO~culR{_tH+35i==nCg zs&m(4{U);wKd%ID4fY<+l^D}}Y;lH2pqxjL_-t!qyf?|ka2F<+Oc?jQH06b8ONb=( zNFzcJi_p(FLBC3j!OemSH}ka4UNL=?+hI8lNvoVZqP^EYE(Z$38MDLPi>r$kmx9?XGeBgmDWL_@!vF*>7ndgzYmWb~L zlYdiLU%Ieg9+A!>D{Fuz%AG*@E;YsfLXfJN|)-Uohl-@2{|h0e61AWAbtrF+r)z5CKuE{K%Vpb zJLsvv>}(3k%)c@S27-1R-{f-QDr;IYzh55@j6~bqN338AH-`}kOC5~z>jZhXAt3=2 z$Tr@v)Em4|qN~#TzQG+qnSc*s5yye9xu9VIQ6XzSSL#Ri$Az)+|B97*0i1dzwn!rv zH0ISwi5@7Xf0N%Dk@yuxDJ~7;7}EH#?0HEAU2H-cu^a%6***;&;;sfsMFciCjEtzM zpJFSg$}lqWU;5@U5UdstiV~el#>#LL%%OQ0Vl04H$B9PQ1A9Fi6mdWb-GKbIhHK2( zt~hf%?aA+|%IVaZ{GlOKLxbm!2g(1LeUPqeBoMN#wwA`lQVj2u&xR_lg<*IAyD4*P zp+YX>h^&v|ptSR-H7~2tcrW$4zF$#^d9G-${68>v>aoyQ45x066EtN71e|}xO90{8 z?;{lr1U3roohL>ZhT0vBUAE2DQtKJ{HQp0~VH$S&7-FfQQ23|EAFQeQ_|dqMe;H&< zyB(UusnV2G-nGUii`+|XH0jl^QbNhFTG{4*h}Ly?aP?5X1XRE-Ep!dkRasEtH z)h@H@0{H)}-4f=fBtdBTTpLPH=n8+Lg}6aSM`jyJhJiww;83hE#0$uJ84Un7qf|n% zHOKoXn!|g~ckvtf9!xN92);@o&$?v!N{%vKo+5p%eE z$>VIu$YzY|;X_u?D%f-{jWHyc&$@WOn_gulg_~ZYZhn**sWCb7Exj}g>}CIWsfqOQ z8VT5mr*1$}9@?qTo@+DNR+iMjhjq;0g%udI0(PzT)0FlhfkWHcQpt6ci>1%7H5T4; z_#6H0CbDhU(Kk~u<=c>#?dzlqzJ`MnKc~@bxIbj*Fe0l@PzF*$ZP2~bWnsTOl#351 zb_ZE^8?=vv4~*@ODnTStsPt9Mi0-Y&+t@wEpdPSHNg)dD`#Bt zS-;G$<-rlF+G!^L&-;`kK1*ta*Gn90<(d=6f3kjzm9!o>P%pACRguh{95pj8)1f0sn!jV?2} z0oc<;Y47TQq9sKqw%-V$tN?eR#&F}aV z_-5MK@x}Z*V~4LXuVLP9y}|vtmAsR*yPn@f5o(pp?~WTtqL~#qzMGjzf{Vd0Ofb#k zs(HKY(K7JZEAsO}cKQcK)#mrsk(PQ#%jJI7*v>Co`-29)3ZCTN>fvGl5EDdUOF0ev ziTyF*fe;nUs`l*TH4C;woUp90eV!5Wpi?OBPt7Xoas@dTsbhj|RwdoVZw{=3PQ=%h z7Jb~iyQ%4}NQ-I3c1LBS=L96u$XBet!7hKNlQvZ%EiHiC26%G z6XJMqnmp#1cxl`}kytf_`C?^s(_L?{C(6&vxiG=JMVSwm4dvqpC1k-=uyO1RQZpDO z38bp%QQZKL3>J;X*r|!Ck?eNcb=M#NqXstf?pU{IeUe(g!ynZnFZ~Tqev=&G`Q;st zef+)a?fj4#pNX<%n+GlBtfN(?BEm@|m%7)K7TkXLra<4)NJck^mt?wpkG?dx!f`}* ztG21a?f8a=i8j2~#K`D$)wzlcInmhE=YRIjr)hzcMutg-6=Ph(gP+S0zKl;8ZTdz& z6)b@dLp71H5%Lr9@0@da-t6nQSU~i=Cti9O^=WvV%_~$$n3uI0U8RnjI!0|F82;!J zAF8Q=UdHcPjU^xu5kUY|^yi?D^b=O%C+R;6@x(jL0z=u6F*o{aQu+HdK9RGbQvaer zcM*^vCJ5kyJ~5bsQZwu^A*%nJ(!n$Vou7~F1bG#@xPxij@!c0J*`S=2U6}hKm&fO9 z2m`Cf#~aO3KgwoVv*la2di`M@=OjXm>%^lH_O_ach@TreEs&&1toKn`$o49}q8w9?wzvBd-4@=_u=VpF+ntqp z)Gzb%iUQ{xR3So7cTY4I;DcwX5-RxKSNFEsbtP$cKet8_rb)@1#C6B0pmz^md-r2< z6Q}*GO;m}&?M2a44A&!KlQRMUMIS<_CQUYyvNboGk4m$D>n~yFO0#IwakC1trPWwk zOr9jFnSA~nZWd9Dj3wOL*bteeY|2hKaPOtb(P4q2x1NHr2f^r*H`?ysoXH8J>hag> z_b1!1=Z6?s2Qqb(2#3hiUG0TDoM&AG2iH5q?$s_^Ts-a?2c1TLKgzIVF{1CDR)Qrn z>rbWO(9P)sn4a~6MrrFoHDeNx#Q7E6t+T#^ZI6f;=X#-H^0X#b!Cn1Q#U%QXYTn^Z+hxO5<~O|ALG)+rrxZ9db#t>I-MU*^=48=Sq5 zQ4$17M8dv8pQ8?pD|X)CM%>R83r34~clr5|cF5pCJ<~lH56%TjnpDFqdDqqITHtnCDbSo&EkNW6S4-$Dtufu-LbMwlcSV ziQnWgC^hGhi8Tl&;3F7lkWZ3KDASQ`m+yO(#h;0=p?n1=DPfw2<1MWGyX`@`KA~b9 z;aw&538!MW(v4t08~_E*^QDeTv3tM7f4mYn(X@B%dpSNxZHkjtF4$!$jSmWyw;+np zc*}vGH-)koUeVh_?*qX{e(yYyE4MuSkuCc5uU&oy(X-JFQ(PKl<)uB3I;%;p41BY| z>2j-f%(}_S@b{S~;GP$h{LAaAl;vNU&}NBa=2;!apM<^l5-$RkOzojv&ifxIhQL67 zQT!p&b5Gy$;+(Jxa6$fU+63xPnX1_CiL(?pTtaBx-mEv9U0sa!cuwp(@;pn}saC(M z`B689h=zU*N~`$tcFD_)0ta-scjEz8OUsJq+5P8eSB1_NRrj(EzP|Q&z3!OB@i^xP z$lx58caI35K(q?-^y>KZ@PbhYLNuUicCb^i{O$2Q;cqNR@ArS$jZEM`629PXMOr}(?kJpTC5@^1>K$sdJ z7CvlP2sw$4mxZoYl*wst6W z&bnB`j+G=76@y{8vW@;y6d!`~sd0Uk!V@WzPJ6@tJ@NzMN|8viz_u1nqmsPWBBQr8 z9_=;YBjUeA^A!6vGP5uesfm8MI)@|#uQts5J9jvxLWc&lsBO0bm1KI3mQ`B7j!Z7o-*T%7`A3?%KgMNa{BBSkGh+- zEl%2yCj?dgF4e!Nbar{7f?SbLi|7V3HigZ-Df7MjmN)&dNTVCW?QEweI=wQ6)oNVr zG_K5qnT2k;PcOzLu7Mg2iV)+4myzOM$wF0+ASs!RtTDC#Rzg!;($?4$cDaGTJf%?b zR=jA5Psub8EpP2+-or-hfDb>*q%6!d(31~lxGrsf>epW_t4#$%e7%WsO(52bsUj4q zBX%9}oTJH4(erX(jwyv!&LQ}}lMg2ixD&r<4e8?;E@RLV+5^YO;e*n?Hk34dZJe~8 z<2rK0TNz9raEcdu6}vK2!%wZyOZAGShwso$0-UZ07jYl#>S!gTh}FKj0iBE_#U8WD z>ogwm=NaxjO7XCqh>-ssHAV;j!HZF}aU}LGw+Dq*%C6>d2`q*}6lWJX5I6?1xcFNd z5~f(4Q=Mc488<5h&m9s7;Q{4b_La5to`?|Ob+2a>u-s&P#sObkO%plqeUdh37FDa| z-D0Q<%D`X2wVrgTbK~S*@()+?SGcH*K0sM;y&Km9vFz9|`HgbH4d0i%Q!ij^lp>Km z^XwVmkj;NTWuXZw%lH-@iDawWtZUYDhL7Hi|L%lgEb^FpDgWcFPaoWDQli+c6gVx247kJ~CTd`8?xUqA;xw z^Paoh3>i@y!wLqP(#eHhnT?O-)DE=G{?$uS`w7HM)&Ks}2CrdmN8_DeC$qka*qO1E z>7$LqL-{@IITQk`W951URyAp`ut?qaUVBWTHz-}4xxo4>dVZX=*K%Ve5WvZ{Unm~R zymDRq0uE^Tenvc9Y`wf^a>ab~a3PvK@nkaz;E-Ij`1?@m{EcCAF=(QGx)ik-|1co* ztOer{Br)A{HQn|r!Mi`XAt@zZEG5W3M69a4DYzoPk@kf<()*(i?HUW6Od6nz5Oj(T zBuL3pO=CJsh?fi&^9I>DMYhRhvPF&2VM29i?*mqus$Q!YNHb)(3~g-{e9yJvpOttt z-2ce8q-GnjNPe~=I>nX1=4y*<1oX5_<{Msz z>LEi>A@qS}dT%YEDqhrI1~JcNUX=z?Z=sC2`x*RY{oBf%OUu6Edae*YTW9{z>E>3L zx9OzXga)VsS#*h8)9Y(HN{dT~3!MSA!L#umT^Tm2W+}e6GGFZ`hJx8MV0%q3ki`>K zK7OWAR5q|gPSuc%e7NXMc41+Sz2INW=5_ub!4jcO`WbxWCbU3|;YwoKf zliHvRG+R_$k-DEUPoYB+?mf32qE$|HHilz+7TM^l-!mWobbBwgekHD3xLKxo^QCvF zMYNayjQd=i9X&URe#K7vXhK@ll3+FscfW#EeXH@QToUoz=+tgS0^vJlwxczTEfNC|OHT&TB>f$5ks}DC|`lbWi1y z+SmDnm^i9!{WfT)V750W1AS7gnq1jeQZJ2)^V4U(5azFi@~gL%wMVh@zy5c9^c#;81aj+xi9QBo zNoa}=oDLy^lLWB!ll|xfy%%RsKqXWwOGdWLllc3DOfPxY(-6pEk2@uAf;Vpa#|C|X z7;;kb?sBhg>HN|LXGc?Q{Z?!+2Aa9_W>O!Ed#WjN^M(b)!k3~YL7PXe+;EVG zt*yj&RK>*qd30hNREe*BI)Z9l_#7p|<99~MaIz%``oc$+=QQMolWB_6`|l={?kiF$ zHDS(kFT*Mvgh7J=B#szI4U~(S-VnCW5wWwulIkJG}1rZG60A1otMnNg1 z25o@s>VRhgg`lAC=?E{EJ#0c*@5KG%X6z{5r7V=W1+G$7d^1A%uxbrTfCk0Wv_)qN3eK-G2)vl_opCdrfM{`QjJ7$+$ zJQu@@5PmHAIDy$C2Z(Gj@_eK-e^|q?MYZ{?-(yK^kk*7uSVB&GuR`U4HP?h4$`8GV zu)aq;Z@j4S&1arw4)c5Q0HNB&H+z6q@d=AGR0TG;Wzhi382k+XFl;I(n;H3!a+C{1 zc4XFmZZUeTLk~*ZBm~iEe$bf3>3(_s^d1UalM;EYC5Zqj!n5q@_!UUxT?8D43(6wy z0z5P@%?|{Dt5#6cGbJrt;BJ`SbTpZ)eO%Ov!^kT2aH>Nf*<^D(T=52YT!iLOJ^{B< z{;&Gk;_@0QHMKN0SnbhJi&_i+JgtUZjZwP9)~D}z07heeUSL49)BozV+{vAn-&D(8 zN|K(Q$>ww{3$;f?d3y-%MFId+{H0&F=H)dh%1aw+F;JG#$d$cG0V#j0!>r_@XT!dW zOWE=yrEEW#1)7UF6JxXC{I-r9pIyBN6_ExTl41m1IX8}u>eg7?x5W^k8+oGJy)Ta% zn^p3Tus*L^LczC}uctm7U~k^7QkbkSoaS5HTsssrEv0G-UP;Pa*;iH$oI3PnCxI2$ zkJTUDoaI+EI;~(ps&j%U1b}!G!m`^EeuZCd!Qj5z7<`QCALBg|6E{x-Z7A~SweF7B zWdto+d?b+16KYp|Hz_NLXSUu^Zu+Fox;kRx?V~}Br_VR--@`ydR{LRCiWFkG72#1nXG6<65XT{)4@FHf1$ZZSr`h z`AE6IWBnnEz^#DH)fB%AJBZ7B_+@&V45oey7f%N%s71yRk1H|HysdCv4+HSV{0a~a zQlR~@B_fKaMy-;F#Hp3*kOd;4?-*+=%3i&W&Mb|+5)}VXWD-{H8k(fsMY%`}56~yd z`c6a#$Agy*fCA6Hx<(D~_yAc^f_$JsK<-WRVW`1IO0?Wy%z~)rQ1e&+$>WZ3iuH4~ z-M#xtygtYEN2!_)!@ZiGW0NL@-*XG(Zj~mxaG|76&*ze>?cAZ8h`~3)+J&DaJr23RVN^nMb*!&rz9f zX%Z9IOJ0AnSyQ%5I3wn;-W5JWWf8lwE=W9~<@G*S>lj~FPEqXLYmx(X(6We<{{OYM%55^Ngq75{JhX;au5Iiimj9%A0KuFi;zuu$~=XpA)Y;cX=f4EW?pP;JgQXc7sFJ>%#1}q(vo^aA~euGiuQ$b1ZF9@k3JU z_+sP!e1#EwaO2S@I;{J4CjOUSSr#o+>neBqh6@%eYWd)#al!3Yz-n2(+S}`<~b4rPS)o*2}Jk=L;F`E1@MDBuNxb zogOTbpzfk?O>4z95$RbB`D-XcpS5#C(_a{9D}3(Jm;d?X@S^^tp;z(w;0zYB+^jku2Zm z2XN1M6dm1_8bjm=TjnnvPYr~t$=nqx>9X8MAvbCg;vgi>kv!o?8k+T%TNBEi5j!{3 z+@}S!$!7EBNMCTxDu(`z))3dVRTlKb6 zu7?V_t^)91DhM)4o$-C@6EvjMu6cP?Wb8lur>iUQyJ?GG{IFQ&Nku=x6XPoj`a*~J zeo2+h9F(k87ES`0#1EfsYK0v*a^aOo4X_*DkxM*8()vpb@5$+!8YAOFVorWQfcYX> z7b16P{Jm6!rNxm2S3@QxvH|f!_F#Vy(^o}!a2o)AGGQ)3E}NS@2ite`whm=BhBDfx zFM0j+G=!+@WKihoMlt7;18CEo1qtTsvl)sVe zlJ9z1x5#%AF7mvpW{yRy+Im`+E!E?PKV1bpzit67g>UymlW-_D6iA(oFPKka$lA_r zK8HT=xCLv%a2dxYq;GSxbnuxre(Pn^^&A5}*gTqkJt&>sq{c^&8LS@At4Q%4QEU9B z2denfso9a!Sr_ojLY0ppZ8tvmnOgYCB>J|>Dr&k$O+SkM*~tflmgk6R;xV{1e*jarw<+}sX*4Kwgs@v6RDeA^}V7iun9FRHKrkUup< zRHWSL34jE}Z4aYJ=;BN8eU6G3zZyQhA<%yTw0u3k1fC1f+;7dRG!I)dP|4j;pv`!x zyw7gP7;uCu8pGjYJHI>0S8HaNg^^}@#8_@t8*aSsFxAI;iXo8&Cop}zU zPQWK&@ead9r0x^_2&=T7>M_GYpZ@%1Qr`)0(gqLy zywrL^qIycFtD|c%H8N&K3ishK9A>i88$hGcSvMCT4UHJKxVL1;@KY%~s$(Q~??>v2 zIM2VVxU@B0a{8IBW8i)uxCYXPnLmTf;?aSK0Q&L1q0hH&@mv2|*q0e=;lV#sK0AFx zAu@f5`R3sYm4bk-77AzP>wOGE?Z<=c=#!$+tZvf8i+)YC*f`x6 z>qwNGu&?z_gQ<2UGlgc&C^pq5<=wSt^76f148M8)HVzG!L8?rc3h|hqk&!$h`%2uu z^oYDIRaI!SPncbW_eK~ZovtfC+22oz`^$|o8{ZPP$Ht!e!Eo`C(b2LlcYMwZ-9~8p zJ%aag{pXw2UafCZvhA=2Bw1Gw)%HkNUxER zjkHI8YIITo*VpVi(HpZ?F8<1clHJw{iOzWTrPMd4tqD?!uEa&#^L;r$6Z6ka`4Kxg z^ATG7-5Q^&CZ(Ges-e;FRXkS^^sm+)Zfey;ONzTn!gk|G1%0);2sq{j`&Y1 z$!_*|yClUA&Qo$dbaKh={4H+mt0~pR_|dx$K`%ZjzratB&XlwjQS>jmvJx!@l5%L&xgl0@;^ znhrN7njiW_Eh&NCgc2jWJoE_3{5~-Zdvx;2K}| z_B|XrCP_*m5p)zP-YXVNj}Op>_dT zYC=J><3s;MuEv~+IUA?1FQp6lBT5RRK~O_&tTY|=_%s5)wKs7FOXj!qDyLpMnHxJK z>AJ0?G;(m%?;*IizK;|UIyJnqydTB16-MO&4lm1tMRjm@^}ax)FoZhis};Uy7A#r= zsGs>z64W#2?G0#s-uZ{=f{n;=ZGQ7}xhXl@H)k3MF(?bTqzO%i4$QukCJ$<&aQe|k z+ipEzee*`y^6o%R4Z4(rd>=|fdj9^>@60+9q=;dag|yK0w_6FDV3O#31955?Hx9Wp zuqD+ikraJwL&{lx>@dN}b#h9)i0<2Dc6!@zd+y7sTMar3FSXqYr@ari*J1}9)~MwD z1rNeG3+bS4v%aik?<)!$u|@eVO0lHx6-5RrWbyF`NSh@k5^(we)$jshsY+Jhd1jNL z`PXfDOz7g|lQMc0$5rHWj%N8+IJ7TFbZgu)P%f+&YMABH}A!Wu2(o>f+jXM&G$0H)w|nM_uB!o>&cdr^#e*m_*k*-l1Bio zo}h^#Sv6>4 zE1o>X+s8$N8x!Q#LC3wrO*9zdVoj|1bs{2pd3gRKl;`Gea|~NP%*0WL>RPb(p2Qfe zC%}v(_2au%4*AnJeUj+;A4ox06E9Qu5=90g0?yC`L)r0%AmbGh${nZp#?SHglww6W zj<(rsY==ZqWSWBfya|{_DXEb^5AedlQkg7%?qYpAD5n7qR*y-GGF3$2@FvNjQ@#)cu1mG}xzhuP%1DAG`OEPF~@WOS0-dgd{x-y)W9DEyj0jvok28 z3)!rf&s?liO!(Lf5BdcELc3<`<`xT7 zW!fp_G;G6{E3ujmvnL*ts%ny=c8!r{`7vW$0oSzP||%4$-e?WyGHpdnD9$?Etn1xdVrCR4Nc8aeNP{jZ_LEZ&^|vr5&3 zA)@Nug7@JLRtD7}>-AeR)1T{{Pn&QuAZ*jG^q~n;Iy#wQ17*7=04vlOCTus91z%IT zxzbqM95pE}8Eb@0etZOo_`?+hD(o=6M&@QODqn@h_U?!Jfudoe+v|LfYFfRzt!1_A z&*N-+cgo{5!ZC*xA!4CUO~DT49xZQoFc58)9esdHn2P8ANEHn4URXx1){disB4l~t zmQFCMMl?<>O^z7aquDVwv+*d|-X}ir^w$vdVlutjo-5lX|MO+JK$6)*Vw77KVD4ERG z15}EVtCKdbUF*d3yL5aaRL8x?ndYEThi`D!xv5kCZjMFB*+j7EeVb4DpSF|7o$1I| zMCfsi?Y?ngY2Dpx{KT-4wbh{T$xu&)G6UVO_wQbS<_E+;nMhxcxH@Nur|=D1&0*v+ z6p$>E`xnA^R@R~|TA^?A>8C_b=;R=Z#>a*Wryg|&jD0-@9WF(`l_smu{+`gA+J1O)Tm zF?n~zq)nGHlm5&wf^{T_Zc;nmQM`2S9nF}3Tg3T<^t7LoTyn^_?nMnE<1`SDUT@~w zpCA;_tY@IIcik9WB4Gc1V7#>DU~BF+v_#w)qj+LWx>%2IvR${?iAL}E5L2ks;9lzO zhocWa0}p4EX!nX{6#A3+^{dWux>UA@UT_?My#%?N!r-HSVj%EmP>cZSIxi*n@lWwb z6eU<%-!nnMw%VPXV)0;s)$td3E4Ap45$N(>D>JzyAlp45zpgMhp1}B9ZJF|Jl)OkX z^Ym1>V{+`zyxa!%M?Mbw4$AE?NT;S1i}UN##NK}-fhnWAS-iY#JQk&Ad+kW9>ldGc z-mG!+wz*BVjaiD!mHsWwPW|C?OAwIxPqGCMqzsL->p|%%JzUa~QYzjQefCupJMqw$ zu>>9VtVSjJ^al9J5V=IlQdys58KJ=QCvkj6e71qd96v|;Z|+kZp*ZsJMvj4MoZ5-i zK$%Qid*%nD6pcx#ebHl3`ECzGVPF zEVsFuB*s^8G*#NJ*dA`rAE;pTsl4pxbI>m8Az?9V6lR?SCab$qf%9p951u!GRZ@uP zvPWU?uF%azOAx4`P~o)oBukAhe{qO>wDI03-o}cRW33y|p{a`xm2vOwAe%Es%R6kZ0iTa+jz31NHQ&>r)e@LBMm(e0mEi{@xd8nGf!fnYF969VWifO_G-=Ws z;`e>W8v>}mk;H$Owrrb1rz@8!JvfO{-NQE94fO*NLG@~5bnR;EmB--w{AYKOoUjRU zP`tM5X<6`2B(cdK^9ho6>CvtK-R8A|tP@-(0a4X=Nl z`+M@4uIj;&$0?|kq@!58Y%-Tx6MtH~R05HvPDeh9qTQ4vH#JiU627I)(CR~$Q9)tld_kxqIat}cB(x}g-h(zU(y z*ftK{=vn*r;eKmjxVjy7k|lm?`IC~gghacXdO-)~v%kJ|8X}oDpJ|u@2I-&A0cnVt zgwe;Z5auXr+qG}aF$TG*&jjeN08u(}`^3p);46A)N)QfhcJ`YQzfGiX)Y11Oi0>Iw zy9O+Fpp~_dob+B~C4{CuIEMRC$$rsKwz~=A|9Lu1y98sX z+X~*!AnQGJ_P6=lB`tode#T9Z{`eDD6xDs`IE&(E?+fDo^sJb?;*@b%7e3tDwgEKE z0ZYzwkDo7_4i3;H1x**kyZKu0hZHnj4;4O$rdXuq;+ue(3bV=opIK3(3v& z56Wibo-&NPUo4v*bw%}MjM7*C-Gmm`ZG$GY_bD8VcRGRFWrI#_puOm$x!jS8Lckoc zIO!OL87+}DeJ;1Bg%V*juOS!E^>%fIbs=NZMMPcy@JBePP?d%7l&*#X9wD7&N#Z$$)eE)CJAGvyZodQ=Sv|-i8fTa6Q{#J z@m>0IoV^t;@6&q>;7%bHqJ^y0P6u!Mo@@>q&ScHt4KKa#DSjrdMJ0Yma3ESHBzc68 zbN2E&z-*DmCvFFwaal1RM2@ zB{Fc_>Ik_>3)-O=@mG7?T~}QT@*?K=_(_vbMkNLexSWCLCBB5XmVdBFcTkDH93*+^wmFbuN z+{hB6`IKeSkTwHLOm@(#{cwcOB8ellS7Um;c>YKl5`Ao_tEbnY_FnzIgay3^Lzun|eM49}SWI!kpUSE&a?!oy}ULE9hn(U*pu6yHO zpV;mJ8gLlI#UUXo=qm>i0V%c-y~5#~lt*?tDjU30Tdxfc+*cP0{7m>hReBshb-F$# z4A%ji0*)@u`UW;aRB}lPkvL}wq9$sFA%45xxC!;%U-=RxKoTt6T;$^I7f5yq_^%uB zMdxE|^8%BEN4N0i6TO2HKaM?>G6$;eM$s4)E=dEMsF0I3Vh>earQ(Yh^1k^x70aH! zSkZ@l=@kbzQhUZlj!N@a*&_$rIa=!Zk;MS+;FnWtr03eVBSk;?cKp`mwVknx$?S$7m8S$u;p?iiI2WNts)Uacs(MILc*Bs@x zv(JSJADv>P{mSKZIW$7Bfb(wJO_$4cJ`M+nzf(Ep0G7oE{Hho~y35%PkV>s)-Mmso zUww?tF2HXsmWTOHoL5x;UOQN4Ih$WN{p0LqkYu%76Y6A>g-9gBBQUDW6}~_@@;GUl z>j8zGge9h>Zj!IiJ5ba7d!f;b5lCoy`l872HepD;#nVqPWmrZ#Q#J~;xhO+JM-Ha# zVuX#JwVoDZ%^;Qjtz9BAz#4|Yl^=%za2$tBvj9!3#o+VNRi9Sx9uR zza>Y7<_AlALlbwFX-N8v&Et%%O^iT4%ngG!jIC=5glfMLNeAWF?* z))Z5|Hc&s0*&;76-O)XhDJXku8)IMfxCU-i&Ang=-895FFe$yY^q0G|b~+K8P7vLg z2SmtBa|Ky?`SE(EYccN5iq+q;5yg=dk`rsM+?SLzUG9(@*$Lq$nX`7%cx-;kZ#wi468+fo^ZApzE%CD$cCnQ`4s|4cFbH@0T_||WmJBv;y zpNqdYt-SK;6C?yahdeb8PXOV&C;A$?Mr`FB@|`T;%nQZ|i2|BxzJTc(MJKDSD+eH3 z$)j^@y)&iubc^LKMH?7Kwch9Pkv^ruPGU+Db;jPn#5}Kz>=VEJYrH1(x_GgFg~lEG zH&QBkQe>N4xnM#9^PJWw|RMgpT$@MKkNjVVu?)>fUU`KtCi{1y+m#I#CRctptiBjWp_E?d#$`?#Y5~xh6 zJvIFx?aDuwhKt952>ZedWCsue-FHDn9!1A{vA#|1@=n3&^zdeb77?U%eE5&*q6NwQ z5JGE1IvGl-?7t374HS}EYj*7%E&D5};D=q_@z4uq z`X|BlUU$jP`fiVH1b1D? zMwkByd1(CdYdwCe0G7m6is-IY#<<4nz{4z}xG&EAiMAPS^BziwIQ*92&WUaR?;vzD z)Hv%kMS;NiOz=beLoxueZDv`r0@_ez$u_yf=O;ydOxQNaSa{je#0=TT(1n1n=(lZK8%r}vK00_Rn(wwMDW&ZQ*`ObM|Y*}A>@rNFAL zijGlHY7!Ts(6R-6{*^0zHNByfEcb#9}xY`s5uPiT|Pnm0`%)gfM%>CF+E=nY|_C{ z0VkGLH!r*yOmoNpi5%Vok~&46^=o?gC)5yWh-F9UTNJk!B~g+q-Pbp+=>^noe}eQy zb~ef<7g@|Jxscdj{lCu|Mw{Xkxjz-**blm>dHTxl*IU) zk4GJ*PFPyJ8#*m1^Azr9jGmIPY@z@Cla{Ybg!EdcZY>YT1cm5#*rM+Ch2K`g#b0^e>EE@Cl-vwu}*_@2=u%}F3U~QI9<5hv_k9VPwPk2G(4G*8PuXiG;ZQJwilft!3egU z0d4FobuL=Oh{_!%;^+GJMizi9rOj7am_`NKKz=RS0O{N59=aN+(p^38Ey?=`^417C z^|xx#=0W`;(Z|1kn@rb5>xkdI8THg1bNP-zi|hpdZ~xakS&7CZ%%)=)iNR(AzG}-u zy0CXkdaWtzdVyzVEG+hRR#gYu<;oR;S@#V)*#DBM@0a~}xA^UiBff#H>+VPU{0IIf z<3GwrXZ4bJxlV-PsNgM$`bPwY7S(HR;EULkQ>3>l#L`MTpK&<9(5bP0cr-qrSFQq>@g5A+iGe>hu^X@u&qey* z+nhz9q@=HiFChm!T>;iz1KnrXJRjfvnX*>4mluJ!wWdqa7hM0y^TO|eu@d2+$@OS0 zwH?q6++Tg5GS5Q8+o)Q{Mf{XlU}&hW9@XfK2bN8eD`)Y%o%fX6;bTB2ODO$radE6M z<+iD*({cx^JOKO-gswF=5>x7cmL^P~NAjMP7hV!m48yiSDQ@NFtQcW~c5u-rH@A?5 z;Qluqg8Joj@Q}r${@joxO52&4+nck^P&mb;=jI&>;y3bNMM=xd_ODKLV0S6nJNj|N zvtMz6VEZfVZG>UTwtsI?-zom*{TXh(NLAmvyZ&5%d!BqcIDF*JhnSz0D(h_LtfwjrZ;{` z^cD12<`Fdpi_j74=JiduUkV7K<2*FY=b>9m{#wX`N~u3%j+#H7K9e9ak6{?Np4{27 zmn=l(RD8jm2JhSawm12081wQ`v|(64;2^kn=VjDNl@>(3FZ#0tL1Dckl&=(rU7)ekuGA zS6sws4M)O-Awhw*EKbs;A0y3$>$CO!7GTgTxu9=Fju6lN>)Pp;U4n3>HP7sCR{%gO zV95Y)M{bPL%`IwUkkr_?fdG0xaRMn)K~jK z^JKpzZ}pPG{3fof(&Esl5vzDy599;q-j=CaSrxi+yB85d(B{apjPB=eTzaiSE71}j zz)U`1AdccK!3a^MJbe$tZ{>M0p%wPFII|*?eliz%2n95rPEF0o zMLNv%0Kv{E*q9>4JLU7h3ywO!@&KI7#-EHD-y8NafF%k~cq6Ol|EBnL`Z*LK2$hK9 zhvS!XIY=WDZGc&;LBM1Ldj9J@gU=J&!Xw%G>jt>#o)nnuCc7)G5^ELX1b>TCN`WQu z>dcmzV@>~avege^eQ3Z2)vyn?)KOn7l!oSa6NT+xSP|TD*R6Wag?mU97ay;Hn3Tn4 z@U|QiikN>-+s>pic%c3ZO;!OXO@P<$i%k5Wa4JX+V`@<{k47MINv#sd z6e5;vQ20@f;zHPw5*TeML^!7KTm1)^i4#@UcvbrcIYJ2d$#{KSMR$45Mjw=+sfOJ* z{I#x!2g`e{h0H9P@@jKhi=VU5qSDqO+#wpPLiR&-jfU(y#(oqhGke^L)OnW@ov+&( zFpEz8PZ2}|M7I;n#Zrj|h`IlD?BGyD*cP7T_yJzfpB4u4c~{>}>Pr%rjDEp$ z!_AMwp$cv!P}WBr!)Z>|6FY$#q4vjJXZgiN2--Lw2is0iP0 z6!s1`hGW@p-C(uUXojL%m|hn0z6zCl-Z1@(Fin)_g5;~XDQ1g*hJD{Q+{yYlg3}8F zO2ds*{7ioZu~;J=Sbqn=u(Ceos4*NtEGv>yH z@4Tm6F;;ViX6{bIZxPHcOIb;ee+9S!GP7f+tR8aQvuFuAR}!>B7`BsW_UxE)7X}MN zAMb$G`%njHRVLwNy`f3kj@{)SGKWpi1l zA=B>#(noo+%u*wi8%jo>EF%<76TQ^e*mC7{k(dUbl}QX?KgYX^=ttC1IDeWi(+l}C zr%`TKReA7$z;v%VEyChm0ENvdx4k+VUnkocFK7>eP{KXr^D zY63&1l1_Sm1dI2v)RVv?XR5wHr{JNw4!(F^IJQ|p3fGN@8sdaX0g`jbj4#vS)#=J1 ziec^m#APBcL9giY$lV*HQ_3y41$A^yn{sRxp3$hy0(8Xlms8)^SDx`XbQl7>`J*ex zdeQ&No3G~d_Uef-(v%#7@}VX4*_|?F%*ML;d4;aGf-Ffwyp@73!1s#7>%(c!Sc_^1 zu7CiHKyRC>j6;hQFr?1qwo2tvax1!cs$BSW^Y(<(pf8!{%X|%ot}Od!UvIJJMlKnK4l+&*L--Xt%E)&5 zs`! za$G`ITGv3tefry`8&q{#7IA$tRW1;O0_)m z@K|$?Ot(H}I(T}E8~y11<9zxN9V*(b^-&U%=)z22q4A=7b$azV-u{{&Pra`Ei;y4K z7`$Nz@rM>waJViyqcsB;WK#Yh7dy*;G5tL0FHip z6je^cZ^NjpydJnUo}6?pRPOy!Ru+cD`3R2%M@3z0y1W@|U7TbhbxcKUA$i2w`b|Ft z^4e_fTfj@~Ji8XN>LH!Ghx6ZK2Yb}uwUz}=8nZyv%_u_>%@JFSLG)UPK>O=@PXHo0 z@1$QiP4^d);3E-;f_kXGQWHu%yVr`_DK9{LVFhOU7Btx~dcWZUJz@Qi8B{&t;yHhh z?@zQa5ZHKkBSBF?<~@{7IEH}5A)B)IB**dV7$iH5$~svCl4e6f65r+=by#8j(}@WH zO`XVL7A8+~U*hrPRp`ow>brv<^`5|mr0IUdR(TdF_i?iZ_!INmiC+5=PY6+IgPM6d zMKsGPE;b#nSo+4`?Z3@HT6w%6K@1MoN?qpPUNap06@T;*h z#t3Bvzb9$1ECcbOwG}m?jQ;+$UfPf`4w8Y>qrTj+i=zvzM#LaNqO&=|a*bEOai(o7 zo2y7(d$gAN@n>*zQAoLLwpo|BHbPSx`3~FO)oYC+Zcd@H)CFGIEMfV}6Vr{9*47$y$#b8a3K0$ngtzzVnW*Wok zw=OpZ;L!)q_Rv24Yl#d!dm9Ym66!P(f*`Fgp|iy7LV!VNYxPGX+C7B z`o3R`x_!yrL?LmFnl>Ohd)MUh*d?REhmqjpP}zI(Yka)M+xr{y(g=PVMo{!shni!w z#M=_s2w0BCHvo5Hl6Vj4HApVLr&G5S&6GhT67BB`hrCHnt~}biOAAZ&CQf~EhHL24 zNFPp%81M7`uye$2PK4{JJ4rkz1=(uqy16A?_vJ~}OJMnp2JzioFhZpc%zXWozVlC8 zjL4xSx`N#5O&YvGk})sEv1xQSM7vR@02U*b`XNZs!JB{oOB*bzadhPwZ4$2;i_v-+>`cD${QLCI}=RMvx|) z!Gl0Ps0YcpWB)W-UpROce{fZHpAd9!n18-d-8fNUsP9qSygAkYEboVn_YBwO*)wwh z4}1-jf^Q(7bp@bnl-;Tr=)717@#Paw3T?9NU7$5&lJgeB+BTPsc8=uRMF@z8k(z7}aEq_>%7yRVs6{gDcVg z?e8dfpb+aj`>Kqw0aB7HKwC^fAt<@Wa4llQmfqc$Bc>w$D2J77L;o%}VOCiN6}SX9 z&o4-Z2$c33m-s53h3ayRR$G0tUakU6vYE=dlo|EJ=YW{C;i7zF=IN|l7q2-o$E)^! zF?gSNmUw6ZYgU`+(R%uD`=QPz4Ih8R*uZHGD@1D{j~X}xe^ZIiT$Z9d?`a8T7qUI4 zgGZvIi8&=oTpQtFd8T;&VMF5PVs_zLZ7VRU`8l)|0{YMLPk5Sd(GZ1@t+}4ZZr#i{ zCs|zYJ4+iIBD-(2Im<=wT$Gfsl*r$#8dvM*Qps^{j2>cBk6B*=s$=y-UADh z;2Yx%lrl6WBNP@>4~WPSR$;{?VirjVdte4b|2`jW`iRgdrSz4I;rv~bqLkOQPr0b< zA6mY{T*ZYmCA*fN!nV=9%_IiP%>f}%WZZezecp_{S9Z%Ck^k--@A^}yN|g|_Vb9nV z)5{_RZrEKa3w{%S^jnC9qvH@iQl~9qn-CEp*AlsqrjbBZ!mu8*C~$&ttBBQAvu-zO zi|Dm34An%gGI!@kKcJ6EvC%+fL>stHr~W8M)4TOV7yzzkU9O`qn=hZMqmZN;Ujxp^ z{<8PQQu&ixNz>N`#pj>16aMiz7%F18xjki4$VF~u-(5PM*t%_%`+^D1OvOGRP$h9< z{)PuQ5*?|S$R%5~A0fR^R!X6TjGumb^;3~N3tiFhrN};H3g*&(|DD6X_Gm>UVczY< z18>oimK3))4od33Y3RkpQ!z0yf9Z0AzEr4-qWVYP!}hsUF}j)zb}jXhJ-SvULC z8@n7~F&!zYSHj6po9}zy2Gn?Ger`Ti)-_UVk!zWfzq{Ph+SE%@I$34+vZ|R-uu21r z0lcdDq=abZtm&K}{K_{lW?ASffKrA)vNSR%8>od>g|2_S5DE-p-ebbNS7K1VAk)Kk zKJPQCmVRm%iRWW3DUAk?c&l|c%D(dt=~wv6Y7*~v=!bi_VAkf;4KpQ!yxdMB&oYhO z^=3t?RXFuCgo_Rg0Y^M-K(oX7axL%6qm!*-@2Sf0>0T|sg}1D|Erf+o%7i!*V68XD zfvLeM{4)r6iQ3K2yPTPyxN92=uEVE5#1C86Tn5~cBVEq9<{6tR`u(3aa%u%>|861{ z7|-a*Rhrl7;JZs@v0UHT*p|GN;?l5QkLc|$M|#HaLu^{LO&#d?#d%WP+Z z!_t?`;$%5WvX2_-a-`W<;0=LBbM2*#rIT1RBtFT=(DN3bw=ii(OFYx6?bt#(9Wi_c zA+>0}f3$_!*OhTf6B~I^_qP#dLzSxz$vQX|l(_YYDW2|!P)1K60VIJEyyYgZi=b=R$D7*ZOPjv)k5 zBoq*&20=nPM3ENh?vQ~2Ug;hXq=pVb5CM@A6qJ?*X#}K^?z(4qzjeP`>#lq6y63N1 zYkqmo`R%jM-uro;>@mOYj9o`i${Q~wZCrJR<9_MPId+8R5sLyuVNop3KCN@y54|#= zs#M?8Qb+Cv4eDKTaRGXYLZ2rJpWjvVOg@hz!*7bDlUu=nWVK?roMiatgl>riPCna!yBWZKczT|yyJV3(y>hz{SrC?+06j?-^#|#L4 z9aVVIRu$(pXTaLwCydhkv2{%@YoeXQ3I`fzqJ7_m+;e1ExZ%j6>%><7L&Dj1P8VBH z`(Q!L6-&a|hc>5iZbNT7- zGbg64iUd2P+~Z$4b2~2&j!;B83xW`6@hp9y7X1hyWf! z9d(&Xfi5QF8f)){)<^ilD7Ypi0#J&Az59Wmj|?Oqr)WzR>}87xGb@!JJL3vG)M}E_ zl*B_LB3Ybimd8fT3ZX*mIE2|vobnLcoapmqVq&0YUwm8x-NSx2xDN|iBe<@2`u<6t zPIr@zi%EKpqhSL>XEGqR?uKQd=};PU5|oIShRm3iEL?1g5Sa<(G{-Ulw_InZb;#A* zoO{SGigv_hW_w$J;JvaT{nLGCSV_JR+QLaefd>dbIs_QPfLQm?&@G?a5)f^2tf4co z*{1pLW|xyP33-yB>QL2 zbl*7e`nnIf@eWowbTbn26(;aoAQr!TXh`#{ku__7qmdivdA$M4SvUb}?wVjukc08d zaTS}Rr5w~={+A%D-qRx@Q8P#_Yx(dzPt=33R%J@)jRwBB@4t`iZn;t^ZgNqWQzCLv zGTHY7>@&D1a#7j@AOftQOl&W`XwdOSG!8_aC9o<_&l=KqU*WMCYx}jX5AJ+tY-t4{ zoR8`E6R$)|v&mSJA`Uo)N9!j6%K)t*u0SvYqQ?5j=>&qX=SR@mGEm~dwVH|o7jS0) zk)JoI3?S$E<_>ZZ&7b8#8mGm9rEA((HhNh1W{Sr%gPv=sKPt0zDD5u%?**mm=bW)m zvprq9YZ8ZzaVR>4C;%HRWkpoqa$9eOB~uTX+bRQMr#j-s%iSAe?(6QATfIt^dzIFM zyFbLk_xrHQTrb<$W-rNP9f~x{lj- zV_65Yf69wpn}$LrgPvOM+>D0gKcx?j0}L}0;gZ=&NQ^Tc(#T_-U-t^EaF8&F{ika33RVNz&#|NG?A1!0sO!zx|4GS0< zM62GScbh?G2AZ5=r3P7G5&$UJx5#0=;^J=?Y|VY;&##Yu+{pYopiW+AXko#1DZt^Y z1S5hV-u%=kCVTf1l(4yxDEHTiG!kY^R7%vM0&YgZ?}!Kd`umC?A<5=mYNQG(XcdOn z#{rDz2#jkTmQ}+!^;m%=Z%p5j)XRS7WJ7b<&y2@*sTUU`44EV^pW70;v&RMpZbRCLuZ~2;12;j$>E@nd4qZ-8SB7l%rK?1w%q^s3X% ztaiWkQy%TZ+gB4^EeJ}?qF8|(&b7t6FgP;Q{Z2@~(2Eriwqt}QJZYpY2_{D)PyjQM zu6s)?nH+8d(Ix{VMqtKp;M{nMX}iW&L<>#uIeB$)GtsCS7dZ>4YCQjcxNnjZC1JrQ;k zoaPg$iab6bF>UMnd1D+VAba>5M=Nmf5co5|xQA*{#@kRLmc8X8+jxG8q{SEuRiHQ? zIzcu=Mhl5JCfW0_V^fQ@^?~f6Q9q+H6CXmf^YAr%GU9%WdXBdl*Jb4g03`kkI3eNl zM=%8|Trja${tj5&n+)Zf3DuN*vxEF?ck7y0;JR|9VH1f83|bDr`m`uu5Dl>vA~NO0 zgLrHF&mXY#nCZpep+q2oYKLMq`8w=IBl@WWDHo*A3krKc@I5@thbnYd)9C@O zfbi$nB+egg(+~HscTv_rTruMmNd$?iKl~e>^44^9jRm1B;g-|(e zfzTvcxUIm4ms(AQP!&n+V>nxPY#u{8ie=E^iz31tD3CpojRb-`5Do*5^q3?tVls9E zhzIWR;@uV?s_OO54Dkqxjm#Ls3e{C;ol1m5!sJ)J(e@?v6cBN4kCY1P(7w0oraqH` zXvE`qe5^)SR0)^hMSlL2>^3?|BneV#*!?3UO)bfa^|_)BX(o;{+D8hdISj#fgLcMr z1Orwdm)`Prmb^UEfu;vwJtKwlC|$Z>RN=Dm+hJ1#*!YLttx2wV&RDt?La0VDr5qiM zfH-;ZQg#BRBP1tDB=?JV<`2-e0aSEOqz~Mo#KM7ngOoU#pC~#1f+R!-z>2VnDR4+? zD_T7YbP%##%;F#hvXY&V!)w5Cof07wfb#Oj4nWnV2hNQ{S4D1OLx`BJl{%8|?Py`N zfdqJHH-S#K$Mz#s@s&ch1+>78G*e1Y81<;@gKRf7KBD}ZN~p8bKM&$ir4P&kF%yKs zy>wjmDvvPu%1_~|a_MOdts2Yv*V*-oAOuaUX69CRt&*B$J|6oVcu=7J@%maeS3(Cj z)S@B3sPSr@K|uziUY~eR74bFbRh5s;8!*ErL^>fhG0$YbF4Z&2$Pl{bL37R}8^fY> zUzP&9DMJZl_zDst1f%F{h-BVs)|!!K?jm{U@fP_rUWI0UKxTsFJp`~Dy1jbkJF2Ts zJpp@P&uzZ6rz9p#!FV}r352A=TCrMj{mg*rah#D#2c(;*IB*DO`v`H!n+99|j);(# zaU1V8QYN}VPdu1C8yOG>`}aqm3%cQI_>r0vA|aVVq;`7Md4f>QnCC!utN+Mz-tSF6nRwRk}3rn>93E7xyk7VWYCI?VqC)XHB5w?cx*B(7g_#8_2@L&O;0zOYF%A+Abl9-llh==diq#d-9};z5#K`jyaUC+m+g?-m zLS5LQt2=f2_H-U7)KF1a){=u<*-+=+No$})9PPbyO|r{T*L|t&XeiRdNr5LELhkoD zBjembxn&(n_-gfQYg^xhTr@IjzVca^2c_nhUvdgeYWXYA`xOpPqJv>4iM@v0F}Yr* zBB@0{L)16z&6{>dtr8FJcSY7&x1yOiOU?XO(fCPyW#g$qe>{iwxoYR%2S}}wv5p0O zJ|18e90DRj&iNl}(0u_L+Y!X2;%Ofuw|NCJ>P#foh4l+P%k}9(<~n$StRGxZt$e8CDAx+!?ONn1 zRFn{K7fJ{59jzuf-_O)%ZNJ~6%S(j#PWZc{${+@H9=9Jqu8At8KksXFgMg*py&f57|vDr6UgC4ur4Xb6g@%=Tt=iNs>M z&Eo%*>(Z_*DUV33BaGa5@*oC-gh*}=;rn=f!Cx_cE!%_f&*W16a>u~#%FC1r+Y!E% zfdcaNi5j%e!JqWC0VwvWOihgkMzJ{f*jp&x#hPEx`bqxr{6g4W325+c>^=yz|J@;7 zI9%)n1MM508&m0^TmhVqNTWDU_w+fRRJVjf!U{`Eqo>uA1=vOlaKN7^+|#=0YDeQo zmUj&Jk|O$<>L%5Sb>C%gZ@cs_4|a#Ac3Uurxp2M%NVV;qoyU{+6iE(Av>AQCo9dJ`0fHIJFDP{`1e{%{x1|uRvO^AIl zL<)8(1})YC0r~z0$U)Se{HZ&VR8-xh&lfp7)nfGxE+UnZw#Ukufrb(Sg(?5|@n7`O zT$eV`XgoVPC@3l6O%ZiwfA_SUeY5~KP~hdh-TkG^pifHHfSJg8Ww5Byv>6{`Ut3$d z)N!jUx4&Pjqq8$-Kwa7}jU86`Ee$}kI5>hz>;Bw#W|op(*VfjST}=06xrqEwQDNPc zEV#SVBOTFG5x-aWr#9l|&6|fitxT>Y_G6ViMT;c$qD*A9J3qv&n^4fx9eN=vib?+q zz`aG?WLd}zhs?E&J2t8Uk|EfJ-|^mvv329we$HHsbjHf+DjI3i6!R^D*46pF?~%*# z@oHJSMMa-;E3?A-`ueQMh_SyU@_4ym7XW9r*KKWWt;Z^@l_VW0+By<%E!Qk&x_{GqzU7Ov#UTE#ASXH5qO zz6&+;Sr$%A2#Zf>hW7&f@rM6}GLT=Iiy5`tpGT{QkI&p4q$nY#YY8Eu=K54xzx`;d zy!n^YV_n@^kZDLC+`)+}Dl4;;)-#NtaTGxBV2q?99C^sD=N)yVeV;b~>hyXvWx6bWyaw#9U{g5oD-Mx`OFeoqZr zrAENS7^(N(p>lf-XX4KA%C`L;NiVgUubR4$B89wf{N1wfHU%`2TDLgS@8~xz%M^`? zYw+ltdFSivdlQHkKik;lm6V7YEiu<4t~`?N`PCe){%Q3Z>b%>V?LQW$C&2D5(z z-gBu51S9YM5DiK)eXsY9zkW0D@bshoxD}W+QW!Qy{_l@$H|cGHWXUBHX!r~i8SgpF z$AAY_RZil|YXlSsr-D+l_Hk3_*f~X6Sy)-f4SxOuy&je_<3=g#MZ9@ZV#_KsUS?q* z091%ZTE9`@0(0lep~R>w{HT6!SigQSFb{S1Ww8MH(P6SyKeVtxz~JexZ|o>?sYAGb7dvWgBX%fU5K36tBfe2D>sY^q-*B{$ zDr7Tw<9NM#`Y>j>qvMfpFas{njHsrr?stFakth9!)&`%wM`PXrn+EPfkA?iteV#J%Bei>a{!Dn-S_1ryT zLhknMwzB$fh6XvA^>M!Tp?bY_WX-7S^2@QI#ispuZ?!dPbefZzsJ|yRk5P}C2aI8F zU*8wo$-MUn!jtNlfF2Dq&N|{eaZn=axb-Lh;%vjew90m*malH@&J#_|I9o730K3yn ztMvI6`4dyqtkt@W&#voJ4f^%&Zf>FDr{Dz7z4h^tJ2bt zvI>_2afR>E_6rOZAg`d7R=4f zYw*dKmTKps#SLg89!}t6vOL;ME|fg3Qellagp&+#Jz{_4(gWul+pMt}V$lBG!tg&j zq?UOadBAM`;)RB*tLq1KJV5P81Y#=?tqhJBiTM3#fB)ki|MO;6{dc-Hc6Pa7b>qVY zYvbYb&6gw)2v1D=i)^C?pX(<=;N}%@tnjZjU+oh6vwAN<$@9ZGiLq9Pi<9XKU#+G! zXH8AYZj3Z0n3PdoOiXMS*we)O_wO$yJ~7HV2SgLj&Vq)n-NN%uqAf^$UYgqF{M5p? zZ^K<&U9D$Z!Xz5N{ffxgQGhl$n5Z#|@m~K@U(WL9lRtB-=chY8sP*KZFK5HJmw-8B zuNYMs$XCr7P!o?LZtju3NCS4^Q31y9zG{k4*pK_Gyyq#!rM2N87Sw61t*58N>UYSN z?(~%iJKcL@*<`8Cji3<3ZLEjEqiSl(rhfFHFe7%~u+b0MCiNZu=DWo2rw1qdWl3cC-hY_bwM zmaq^G{4y+-uJ(Cicv#-2Ap>i?{rDf=WB@vz*RZ?RTnS!0Ui&GHAQ+h_Y6JZcmmILc zKRzG@G-LRNO`roq@?89nm$~1TmgWZs;|qq<67%kfBahu`X99_rg2<&Z?Z-d%fp5zS z#Nu{GEipwdQ^48az3dNi+aD&@&xYIjaump?K4syTj0O=kF#^Jp@m3WOGu16MP(q&U zKQ_O>o*@9la6yB2BY>#w<&Xc9Z}$J=;r)lJp!y>&2sRJ!Vp@mu=CKc_^iWN%^npp> FzW`5Z&` Date: Sun, 2 Feb 2025 13:00:44 -0500 Subject: [PATCH 7/7] updated notebook again --- moodys_challenge.ipynb | 552 ++++------------------------------------- 1 file changed, 50 insertions(+), 502 deletions(-) diff --git a/moodys_challenge.ipynb b/moodys_challenge.ipynb index 3b1f29a..644a580 100644 --- a/moodys_challenge.ipynb +++ b/moodys_challenge.ipynb @@ -2272,502 +2272,7 @@ "execution_count": null, "id": "546fd0a9", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:11: DeprecationWarning: The class ``qiskit.primitives.estimator.Estimator`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseEstimatorV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Estimator` class is `StatevectorEstimator`.\n", - " estimator = Estimator()\n", - "/var/folders/sb/y6vkx66n73j528sqx4kjzjd40000gn/T/ipykernel_1544/2564546887.py:12: DeprecationWarning: The class ``qiskit.primitives.sampler.Sampler`` is deprecated as of qiskit 1.2. It will be removed no earlier than 3 months after the release date. All implementations of the `BaseSamplerV1` interface have been deprecated in favor of their V2 counterparts. The V2 alternative for the `Sampler` class is `StatevectorSampler`.\n", - " sampler = Sampler()\n" - ] - } - ], + "outputs": [], "source": [ "Betti_list_vqd = []\n", "#This is a 2 dimensional list, where the first dimension is the index of the simplex tree and the second dimension is the Betti\n", @@ -2897,10 +2402,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "id": "13f50e19", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " message: Optimization terminated successfully.\n", + " success: True\n", + " status: 1\n", + " fun: 1.5229424013551984e-08\n", + " x: [ 3.927e+00 1.571e+00 3.400e-01 7.854e-01 -1.571e+00\n", + " 1.571e+00]\n", + " nfev: 207\n", + " maxcv: 0.0\n" + ] + } + ], "source": [ "# write your code here\n", "from qiskit.quantum_info import SparsePauliOp\n", @@ -2957,10 +2477,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "id": "9ff4cf22", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "\n", @@ -2973,10 +2504,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "id": "2747e69f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Extract parameters\n", "param_numbers = ansatz.num_parameters\n", @@ -3005,6 +2547,12 @@ "source": [ "# This is the end of the challenge. Good luck!" ] + }, + { + "cell_type": "markdown", + "id": "c100c9a1", + "metadata": {}, + "source": [] } ], "metadata": {