vyeevani/train-trajectory.ipynb

## train-trajectory.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install --force-reinstall \"jax[cuda12]\" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html\n",
    "# !pip install --force-reinstall torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu\n",
    "# !pip install optax tqdm ipywidgets matplotlib tensorflow huggingface_hub ./eqxvision tensorboard tensorboard_plugin_profile memory_profi\n",
    "# !pip install nvidia-pyindex\n",
    "# !pip install nvidia-cuda-cupti\n",
    "# !pip install tensorboard-plugin-profile\n",
    "# !pip install tensorflow-probability\n",
    "# !pip install einops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%load_ext memory_profiler\n",
    "%load_ext tensorboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-04-26 18:32:50.095492: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
      "2024-04-26 18:32:50.113730: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-04-26 18:32:50.113748: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-04-26 18:32:50.114283: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2024-04-26 18:32:50.117497: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2024-04-26 18:32:50.452337: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
      "2024-04-26 18:32:51.993816: W external/xla/xla/service/gpu/nvptx_compiler.cc:744] The NVIDIA driver's CUDA version is 12.2 which is older than the ptxas CUDA version (12.3.107). Because the driver is older than the ptxas version, XLA is disabling parallel compilation, which may slow down compilation. You should update your NVIDIA driver or use the NVIDIA-provided CUDA forward compatibility packages.\n"
     ]
    }
   ],
   "source": [
    "import os, functools, datetime, json, math\n",
    "import gc, tracemalloc, linecache\n",
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "import tensorflow_probability as tfp\n",
    "import equinox as eqx\n",
    "import einops\n",
    "import jax\n",
    "import optax\n",
    "from tqdm.notebook import tqdm\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import clear_output\n",
    "from robot.dataset.huggingface import download_dataset_repo\n",
    "from robot.dataset.dataset import make_json_parser, make_downsampled_dataset, make_lookahead_dataset, make_lookbehind_dataset, make_timestep_dataset, make_trajectory_dataset, make_normalize, flatten_nested_dataset, get_files\n",
    "from robot.model.model import save_model, load_model, make_cnn, make_mlp, make_resnet_mlp, FourierFeatures, make_resnet_cnn, make_diffusion_model, make_fully_unfrozen_model, any_shape_linear, Residual\n",
    "from robot.model.model import EncoderTransformer, DecoderTransformer, Transformer\n",
    "from robot.dataset.dataset import make_json_parser_3, make_timestep_dataset_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "LOOKAHEAD_STEPS = 20\n",
    "LOOKBEHIND_STEPS = 1\n",
    "POSE_SHAPE = (4,)\n",
    "IMAGE_SHAPE = (3, 32, 32)\n",
    "BATCH_SIZE = 64\n",
    "LR = 1e-3\n",
    "DIFFUSION_STEPS = 10\n",
    "INFO_NOISE_TIME_KEY = \"noise_time\"\n",
    "INFO_POSITIONS_KEY = \"desired_positions\"\n",
    "SKIP_COUNT = 20\n",
    "SEQUENCE_LENGTH = 14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-04-26 18:32:52.209277: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.212262: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.212352: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.213538: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.213614: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.213665: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.216723: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.216788: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.216836: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2024-04-26 18:32:52.216869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3839 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4090, pci bus id: 0000:01:00.0, compute capability: 8.9\n"
     ]
    }
   ],
   "source": [
    "class Model(eqx.Module):\n",
    "    column_size: int\n",
    "    column_count: int\n",
    "    columns: jax.Array\n",
    "    \n",
    "    input_query_projector: jax.Array\n",
    "    input_key_projector: jax.Array\n",
    "    input_value_projector: jax.Array\n",
    "\n",
    "    desired_poses_start: jax.Array\n",
    "\n",
    "    diffusion_steps_positional_embedder: eqx.Module\n",
    "    video_frames_positional_embedder: eqx.Module\n",
    "    current_poses_positional_embedder: eqx.Module\n",
    "    desired_poses_positional_embedder: eqx.Module\n",
    "    noisy_desired_poses_positional_embedder: eqx.Module\n",
    "\n",
    "    input_encoder: eqx.Module\n",
    "    input_backbone: eqx.Module\n",
    "    backbone: eqx.Module\n",
    "\n",
    "    output_decoder: eqx.Module\n",
    "    output_latent: jax.Array\n",
    "    output_projector: jax.Array\n",
    "    \n",
    "    def __init__(self, key):\n",
    "        rng = key\n",
    "\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.column_size = 128\n",
    "        self.column_count = 8\n",
    "        self.columns = jax.random.normal(key, (self.column_count, self.column_size))\n",
    "        \n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.input_query_projector = jax.random.normal(key, (8, self.column_size))\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.input_key_projector = jax.random.normal(key, (8, 5))\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.input_value_projector = jax.random.normal(key, (128, 5))\n",
    "\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.desired_poses_start = jax.random.normal(key, (LOOKAHEAD_STEPS, 4)) # need two because of the alignment of the dynamics with actions\n",
    "\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.diffusion_steps_positional_embedder = FourierFeatures(1, 4, key)\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.video_frames_positional_embedder = FourierFeatures(4, 4, key)\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.current_poses_positional_embedder = FourierFeatures(2, 4, key)\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.desired_poses_positional_embedder = FourierFeatures(3, 4, key)\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.noisy_desired_poses_positional_embedder = FourierFeatures(3, 4, key)\n",
    "\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.input_encoder = Transformer(self.column_size, 5, 5, 5, 1, 50, key)\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.input_backbone = Transformer(self.column_size, self.column_size, self.column_size, self.column_size, 8, self.column_size * 10, key)\n",
    "        \n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.backbone = Transformer(self.column_size, self.column_size, self.column_size, self.column_size, 8, self.column_size * 10, key)\n",
    "\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.output_decoder = Transformer(self.column_size, self.column_size, self.column_size, self.column_size, 8, self.column_size * 10, key)\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.output_latent = jax.random.normal(key, (1, self.column_size))\n",
    "        rng, key = jax.random.split(rng)\n",
    "        self.output_projector = jax.random.normal(key, (LOOKAHEAD_STEPS, 4, self.column_size))\n",
    "        \n",
    "    def __call__(self, x, state, padding, key):\n",
    "        rng = key\n",
    "\n",
    "        def create_coordinate_space(shape):\n",
    "            \"\"\"\n",
    "            Create a coordinate space for an arbitrary shape.\n",
    "        \n",
    "            Parameters:\n",
    "            - shape (tuple of ints): The shape of the desired coordinate space.\n",
    "        \n",
    "            Returns:\n",
    "            - numpy.ndarray: An array of coordinates, with the last dimension representing the coordinate values.\n",
    "            \"\"\"\n",
    "        \n",
    "            # Generate grids of indices along each dimension\n",
    "            grids = jax.numpy.meshgrid(*[jax.numpy.arange(dim) for dim in shape], indexing='ij')\n",
    "            \n",
    "            # Stack the grids along a new last axis, so each \"pixel\" has a coordinate\n",
    "            coordinates = jax.numpy.stack(grids, axis=-1)\n",
    "        \n",
    "            return coordinates\n",
    "        \n",
    "        def multiple_vmap(func, count, in_axes):\n",
    "            \"\"\"Apply `jax.vmap` to `func` over all dimensions of `x` except the last one.\"\"\"\n",
    "            for _ in range(count):\n",
    "                func = jax.vmap(func, in_axes=in_axes)\n",
    "            return func\n",
    "        \n",
    "        # Assuming the input_project function is defined as provided.\n",
    "        def input_project(x, positional_embedder):\n",
    "            positional_embeddings = einops.rearrange(multiple_vmap(positional_embedder, len(x.shape), (0, None))(create_coordinate_space(x.shape), None), \"t ... d -> t (...) d\")\n",
    "            x = einops.rearrange(x, \"t ... -> t (...) 1\")\n",
    "            return einops.pack([x, positional_embeddings], \"t r *\")[0]\n",
    "                        \n",
    "        diffusion_steps, video_frames, current_poses, desired_poses, noisy_desired_poses = x\n",
    "        diffusion_steps = input_project(einops.rearrange(diffusion_steps, \"t -> t 1\"), self.diffusion_steps_positional_embedder)\n",
    "        video_frames = input_project(video_frames, self.video_frames_positional_embedder)\n",
    "        current_poses = input_project(current_poses, self.current_poses_positional_embedder)\n",
    "        desired_poses = input_project(einops.pack([self.desired_poses_start, desired_poses], \"* r d\")[0][:-1], self.desired_poses_positional_embedder)\n",
    "        noisy_desired_poses = input_project(noisy_desired_poses, self.noisy_desired_poses_positional_embedder)\n",
    "        inputs = einops.pack([diffusion_steps, video_frames, current_poses, desired_poses, noisy_desired_poses], \"t * d\")[0]\n",
    "        \n",
    "        timesteps = inputs.shape[0]\n",
    "        tokens_per_timestep = inputs.shape[1]\n",
    "        inputs = einops.rearrange(inputs, \"t r d -> (t r) d\")\n",
    "\n",
    "        casual_input_encoding_mask = einops.rearrange(\n",
    "            jax.numpy.tril(jax.numpy.ones((self.column_count, tokens_per_timestep, timesteps, timesteps))),\n",
    "            \"c e t1 t2 -> (t1 c) (t2 e)\"\n",
    "        )\n",
    "        padding_input_encoding_mask = einops.repeat(einops.einsum(padding, padding, \"t1, t2 -> t1 t2\"), \"t1 t2 -> (t1 c) (t2 e)\", c=self.column_count, e=tokens_per_timestep)\n",
    "        input_encoding_mask = jax.checkpoint(lambda: casual_input_encoding_mask * padding_input_encoding_mask)() # regenerate the input encoding mask to avoid keeping around a massive matrix\n",
    "        backbone_mask = jax.numpy.ones((timesteps, self.column_count, self.column_count))\n",
    "        \n",
    "        columns = einops.repeat(self.columns, \"c d -> t c d\", t=timesteps)\n",
    "        \n",
    "        columns = einops.rearrange(columns, \"t c d -> (t c) d\", t=timesteps)\n",
    "        columns = self.input_encoder(columns, inputs, inputs, input_encoding_mask)\n",
    "        columns = einops.rearrange(columns, \"(t c) d -> t c d\", t=timesteps)\n",
    "        columns = jax.vmap(self.input_backbone)(columns, columns, columns, backbone_mask)\n",
    "\n",
    "        columns = einops.rearrange(columns, \"t c d -> (t c) d\", t=timesteps)\n",
    "        columns = self.input_encoder(columns, inputs, inputs, input_encoding_mask)\n",
    "        columns = einops.rearrange(columns, \"(t c) d -> t c d\", t=timesteps)\n",
    "        columns = jax.vmap(self.input_backbone)(columns, columns, columns, backbone_mask)\n",
    "\n",
    "        columns = jax.vmap(self.backbone)(columns, columns, columns, backbone_mask)\n",
    "\n",
    "        output_mask = jax.numpy.ones((1, self.column_count))\n",
    "        outputs = jax.vmap(self.output_decoder, in_axes=(None, 0, 0, None))(self.output_latent, columns, columns, output_mask)\n",
    "        outputs = einops.rearrange(outputs, \"t s i -> t (s i)\")\n",
    "        outputs = einops.einsum(self.output_projector, outputs, \"... i, t i -> t ...\")\n",
    "        return outputs, state\n",
    "\n",
    "\n",
    "def make_test_model():\n",
    "    model = Model(jax.random.key(0))\n",
    "\n",
    "    state = eqx.nn.State(model)\n",
    "    dynamic_model, static_model = make_fully_unfrozen_model(model)\n",
    "    return dynamic_model, static_model, state\n",
    "\n",
    "def linear_beta_schedule(num_steps, beta_start, beta_end):\n",
    "    return tf.linspace(beta_start, beta_end, num_steps)\n",
    "def cosine_beta_schedule(num_steps, s=0.008):\n",
    "    \"\"\"\n",
    "    cosine schedule\n",
    "    as proposed in https://openreview.net/forum?id=-NEXDKk8gZ\n",
    "    \"\"\"\n",
    "    steps = num_steps + 1\n",
    "    t = tf.linspace(0, num_steps, steps) / num_steps\n",
    "    alphas_cumprod = tf.cos((t + s) / (1 + s) * math.pi * 0.5) ** 2\n",
    "    alphas_cumprod = alphas_cumprod / alphas_cumprod[0]\n",
    "    betas = 1 - (alphas_cumprod[1:] / alphas_cumprod[:-1])\n",
    "    return tf.cast(tf.clip_by_value(betas, 0, 0.999), tf.float64)\n",
    "beta_schedule = cosine_beta_schedule\n",
    "\n",
    "@tf.function\n",
    "def random_resized_crop(image, scale):\n",
    "    height = tf.cast(tf.shape(image)[-3], tf.float32)  # Original height as float32\n",
    "    width = tf.cast(tf.shape(image)[-2], tf.float32)   # Original width as float32\n",
    "\n",
    "    # Generate a random scale within the specified range\n",
    "    random_scale = tf.random.uniform([], scale[0], scale[1])\n",
    "\n",
    "    # Calculate the size of the crop\n",
    "    crop_height = tf.sqrt(random_scale) * height\n",
    "    crop_width = tf.sqrt(random_scale) * width\n",
    "\n",
    "    # Generate random offsets for cropping to simulate the random crop effect\n",
    "    height_offset = tf.random.uniform([], 0, height - crop_height)\n",
    "    width_offset = tf.random.uniform([], 0, width - crop_width)\n",
    "\n",
    "    # Calculate the normalized bounding box for tf.image.crop_and_resize\n",
    "    bounding_box = tf.stack([\n",
    "        height_offset / height,\n",
    "        width_offset / width,\n",
    "        (height_offset + crop_height) / height,\n",
    "        (width_offset + crop_width) / width\n",
    "    ], axis=0)\n",
    "\n",
    "    # Crop and resize the image back to its original size\n",
    "    image_cropped = tf.image.crop_and_resize(\n",
    "        tf.expand_dims(image, 0), tf.expand_dims(bounding_box, 0),\n",
    "        [0], [tf.cast(height, tf.int32), tf.cast(width, tf.int32)]\n",
    "    )\n",
    "\n",
    "    return image_cropped[0]\n",
    "\n",
    "@tf.function\n",
    "def drop_trajectory_id(*args):\n",
    "    trajectory_id, images, current_poses, desired_poses, current_grippers, desired_grippers = args\n",
    "    return (images, current_poses, desired_poses, current_grippers, desired_grippers)\n",
    "\n",
    "@tf.function\n",
    "def load_image(*args):\n",
    "    images, current_poses, desired_poses, current_grippers, desired_grippers = args\n",
    "    images = tf.io.read_file(images)\n",
    "    images = tf.io.decode_png(images, channels=3)\n",
    "    images = tf.image.resize(images, (IMAGE_SHAPE[1], IMAGE_SHAPE[2]))\n",
    "    images = tf.image.random_brightness(images, 0.2)\n",
    "    images = tf.image.random_contrast(images, 0.0, 0.8)\n",
    "    images = tf.image.random_hue(images, 0.2)\n",
    "    images = random_resized_crop(images, [0.95, 1.0])\n",
    "    images = tf.cast(images, dtype=tf.float32)\n",
    "    images = images / 255.0\n",
    "    return images, current_poses, desired_poses, current_grippers, desired_grippers\n",
    "        \n",
    "def make_model_sample_conversion_tf(num_steps, beta_schedule):\n",
    "    betas = beta_schedule(num_steps=num_steps)\n",
    "    alphas = 1 - betas\n",
    "    alpha_hats = tf.math.cumprod(alphas)\n",
    "    @tf.function\n",
    "    def model_sample_conversion_tf(*args):\n",
    "        images, current_poses, desired_poses, current_grippers, desired_grippers = args\n",
    "        images = tf.cast(images, dtype=tf.float32)\n",
    "\n",
    "        current_translations = current_poses[:3, 3]\n",
    "        current_grippers = tf.expand_dims(current_grippers, axis=-1)\n",
    "        current_positions = tf.concat([current_translations, current_grippers], axis=-1)\n",
    "        \n",
    "        desired_translations = desired_poses[:, :3, 3]\n",
    "        desired_grippers = tf.expand_dims(desired_grippers[:], axis=-1)\n",
    "        desired_positions = tf.concat([desired_translations, desired_grippers], axis=-1)\n",
    "\n",
    "        t = tf.random.uniform(shape=[], minval=0, maxval=num_steps, dtype=tf.int32)\n",
    "        noise = tf.random.normal(shape=tf.shape(desired_positions), dtype=tf.float64)\n",
    "        noisy_positions = tf.sqrt(tf.cast(alpha_hats[t], dtype=tf.float64)) * tf.cast(desired_positions, dtype=tf.float64) + tf.cast(tf.sqrt(1.0 - alpha_hats[t]), dtype=tf.float64) * tf.cast(noise, dtype=tf.float64)\n",
    "\n",
    "        # adding some noise to the current positions\n",
    "        current_positions = current_positions + tf.random.uniform(shape=tf.shape(current_positions), minval=-0.005, maxval=0.005, dtype=tf.float32)\n",
    "        \n",
    "        return t, images, current_positions, desired_positions, noisy_positions, noise\n",
    "    return model_sample_conversion_tf\n",
    "\n",
    "def make_sample_diffusion_model(betas, temperature, position_shape, sequence_length, lookahead_count, lookbehind_count):\n",
    "    num_steps = betas.shape[0] # the shape of beta schedule is the total number of timesteps\n",
    "    alphas = 1 - betas\n",
    "    alpha_hats = jax.numpy.cumprod(alphas)\n",
    "    alpha_hats_prev = jax.numpy.append(1., alpha_hats[:-1])\n",
    "    jax.numpy.append(1., alpha_hats)\n",
    "    @eqx.filter_jit\n",
    "    def sample_diffusion_model(model, state, image, current_position, desired_position, padding, key):\n",
    "        rng = key\n",
    "        @jax.jit\n",
    "        def sample_step(input_tuple, t):\n",
    "            noisy_desired_position, rng = input_tuple\n",
    "            rng, key = jax.random.split(rng)\n",
    "            timesteps = image.shape[0]\n",
    "            diffusion_step = einops.repeat(t, \"-> t\", t=timesteps)\n",
    "            desired_position_hat, _ = model((diffusion_step, image, current_position, desired_position, noisy_desired_position), state=state, padding=padding, key=key)\n",
    "            coef1 = jax.numpy.sqrt(alphas[t]) * (1. - alpha_hats_prev[t]) / (1. - alpha_hats[t])\n",
    "            coef2 = jax.numpy.sqrt(alpha_hats_prev[t]) * (1. - alphas[t]) / (1. - alpha_hats[t])\n",
    "            denoised_desired_position = coef1 * noisy_desired_position + coef2 * desired_position_hat\n",
    "            rng, key = jax.random.split(rng)\n",
    "            z = jax.random.normal(key, shape=noisy_desired_position.shape)\n",
    "            z_scaled = temperature * z\n",
    "            noisy_desired_position = denoised_desired_position + ((t > 0) * jax.numpy.sqrt(betas[t]) * z_scaled)\n",
    "            return (noisy_desired_position, rng), ()\n",
    "        rng, key = jax.random.split(rng)\n",
    "        noisy_desired_position = jax.random.normal(key, (sequence_length, lookahead_count, *position_shape))\n",
    "        (noisy_desired_position, _), _ = jax.lax.scan(\n",
    "            sample_step,\n",
    "            (\n",
    "                noisy_desired_position,\n",
    "                rng\n",
    "            ),\n",
    "            jax.numpy.arange(\n",
    "                num_steps - 1,\n",
    "                -1,\n",
    "                -1\n",
    "            )\n",
    "        )\n",
    "        return noisy_desired_position\n",
    "    return sample_diffusion_model\n",
    "sample_diffusion_model = make_sample_diffusion_model(\n",
    "    betas=jax.numpy.asarray(beta_schedule(DIFFUSION_STEPS)), \n",
    "    temperature=1.0,\n",
    "    position_shape=POSE_SHAPE,\n",
    "    sequence_length=SEQUENCE_LENGTH,\n",
    "    lookahead_count=LOOKAHEAD_STEPS,\n",
    "    lookbehind_count=LOOKBEHIND_STEPS)\n",
    "\n",
    "def accuracy(positions, positions_hat):\n",
    "    return jax.numpy.mean(jax.numpy.abs(positions_hat - positions) < 5e-3)\n",
    "\n",
    "def dataset_metrics(files, image_dir):\n",
    "    \"\"\"\n",
    "    Returns sample count, mean, and standard deviation\n",
    "    \"\"\"\n",
    "    # compute the mean and standard deviation of the datasets desired positions and images\n",
    "    dataset = flatten_nested_dataset(\n",
    "        make_trajectory_dataset(\n",
    "            [\n",
    "                make_timestep_dataset(\n",
    "                    make_json_parser(\n",
    "                        file,\n",
    "                        image_dir,\n",
    "                        IMAGE_SHAPE[1:]\n",
    "                    )\n",
    "                )\n",
    "                for file in files\n",
    "            ]\n",
    "        )\n",
    "    )\n",
    "\n",
    "    # TODO: collect this logic into a function to avoid this disgusting mess\n",
    "    dataset_iter = iter(dataset)\n",
    "\n",
    "    fields = next(dataset_iter)\n",
    "    num_fields = len(fields)\n",
    "\n",
    "    running_mean_list = [tf.Variable(tf.zeros_like(field, dtype=tf.float32)) for field in fields]\n",
    "    running_var_list = [tf.Variable(tf.zeros_like(field, dtype=tf.float32)) for field in fields]\n",
    "    running_count_list = [tf.Variable(0.) for field in fields]\n",
    "\n",
    "    global_count = 0\n",
    "\n",
    "    def update_welford(count, mean, variance, new_value):\n",
    "        new_value = tf.cast(new_value, dtype=tf.float32)\n",
    "        count.assign_add(1)\n",
    "        delta_1 = new_value - mean\n",
    "        mean.assign_add(delta_1 / count)\n",
    "        delta_2 = new_value - mean  # Note: mean has been updated\n",
    "        variance.assign_add(delta_1 * delta_2)\n",
    "    current_poses = []\n",
    "    for fields in dataset:\n",
    "        for (field_index, field) in enumerate(fields):\n",
    "            field = tf.cast(field, tf.float32)\n",
    "            running_mean = running_mean_list[field_index]\n",
    "            running_var = running_var_list[field_index]\n",
    "            running_count = running_count_list[field_index]\n",
    "            update_welford(running_count, running_mean, running_var, field)\n",
    "        global_count += 1\n",
    "    means = []\n",
    "    stds = []\n",
    "    for running_mean, running_var, running_count in zip(running_mean_list, running_var_list, running_count_list):\n",
    "        means.append(running_mean.numpy())\n",
    "        stds.append(np.sqrt(running_var.numpy() / (running_count - 1)))\n",
    "    return global_count, means, stds\n",
    "\n",
    "def make_model_dataset(files, image_dir, means, stds):\n",
    "    normalization_params = {\n",
    "        i: {\n",
    "            \"mean\": mean,\n",
    "            \"std\": std\n",
    "        } for (i, (mean, std)) in enumerate(zip(means, stds))\n",
    "    }\n",
    "    # skip images\n",
    "    normalize_fn = make_normalize(normalization_params, list(range(len(means)))[1:])\n",
    "    sample_conversion_fn = make_model_sample_conversion_tf(\n",
    "        num_steps=DIFFUSION_STEPS,\n",
    "        beta_schedule=beta_schedule,\n",
    "    )\n",
    "    \n",
    "    return make_trajectory_dataset(\n",
    "        [\n",
    "            make_downsampled_dataset(\n",
    "                make_lookahead_dataset(\n",
    "                    make_timestep_dataset_3(\n",
    "                        make_json_parser_3(\n",
    "                            file,\n",
    "                            image_dir,\n",
    "                            IMAGE_SHAPE[1:]\n",
    "                        )\n",
    "                    ).map(drop_trajectory_id).map(normalize_fn),\n",
    "                    tuple_count=5,\n",
    "                    lookahead_steps=LOOKAHEAD_STEPS,\n",
    "                    lookahead_fields=[2, 4]\n",
    "                ),\n",
    "                skip_count=SKIP_COUNT,\n",
    "                obs_fields=[0, 1, 3]\n",
    "            ).map(load_image)\n",
    "            for file in files\n",
    "        ]\n",
    "    ).map(\n",
    "        lambda x: x.take(SEQUENCE_LENGTH).cache()\n",
    "    ).cache().flat_map(\n",
    "        lambda x: x.map(sample_conversion_fn).batch(SEQUENCE_LENGTH)\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_compute_loss():\n",
    "    @eqx.filter_jit\n",
    "    def compute_loss(dynamic_model, static_model, state, x, y, padding, key):\n",
    "        model = eqx.combine(dynamic_model, static_model)\n",
    "        normal_helper_key, key = jax.random.split(key)\n",
    "        y_hat, state = model(x, state=state, padding=padding, key=key)\n",
    "        loss = jax.numpy.mean(jax.numpy.square(y - y_hat))\n",
    "        # jax.debug.print(\"y {}\\n y_hat {}\\n error {}\\n mse loss {}\", y, y_hat, jax.numpy.square(y-y_hat), loss)\n",
    "        return loss, state\n",
    "    return compute_loss\n",
    "\n",
    "def make_batched_loss_fn(loss_fn):\n",
    "    vmapped_loss_fn = jax.vmap(loss_fn, in_axes=(None, None, 0, 0, 0, 0, 0))\n",
    "    @eqx.filter_jit\n",
    "    def batched_loss_fn(*args):\n",
    "        batched_losses, model_output = vmapped_loss_fn(*args)\n",
    "        loss = jax.numpy.mean(batched_losses)\n",
    "        return loss, model_output\n",
    "    return batched_loss_fn\n",
    "    \n",
    "@eqx.filter_jit\n",
    "def take_step(loss_fn, dynamic_model, static_model, state, x, y, padding, optimizer, opt_state, key):\n",
    "    (loss, model_output), grads = \\\n",
    "        eqx.filter_value_and_grad(\n",
    "            loss_fn,\n",
    "            has_aux=True\n",
    "        )(\n",
    "            dynamic_model,\n",
    "            static_model,\n",
    "            state,\n",
    "            x,\n",
    "            y,\n",
    "            padding,\n",
    "            jax.random.split(key, y.shape[0])\n",
    "        )\n",
    "    dynamic_model_params, dynamic_model_invariants = eqx.partition(dynamic_model, eqx.is_array_like)\n",
    "    updates, opt_state = optimizer.update(grads, opt_state, dynamic_model_params)\n",
    "\n",
    "    # split the dynamic model into the sections that have \n",
    "    dynamic_model_params = eqx.apply_updates(dynamic_model_params, updates)\n",
    "    dynamic_model = eqx.combine(dynamic_model_params, dynamic_model_invariants)\n",
    "\n",
    "    return loss, dynamic_model, model_output, opt_state\n",
    "\n",
    "def accuracy_init():\n",
    "    return []\n",
    "\n",
    "def accuracy_step(accuracy_state, accuracy):\n",
    "    accuracy_state = accuracy_state.copy()\n",
    "    accuracy_state.append(accuracy)\n",
    "    return accuracy_state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1abc26e7459d436dbeb2e65be5f5f8aa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Fetching 3214 files:   0%|          | 0/3214 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-6.2764727e-02  1.3846829e-02  9.9662805e-01  2.8174016e-01]\n",
      " [-4.5696329e-04  9.9986994e-01 -1.3769678e-02 -1.9914275e-02]\n",
      " [-9.9674773e-01 -1.3314546e-03 -6.2750198e-02  9.8754041e-02]\n",
      " [ 0.0000000e+00  0.0000000e+00  0.0000000e+00  1.0000000e+00]]\n",
      "[[0.05034715 0.00781902 0.00229987 0.0268701 ]\n",
      " [0.00366185 0.00011571 0.00780087 0.00781113]\n",
      " [0.00227289 0.00307075 0.05038925 0.07555002]\n",
      " [0.         0.         0.         0.        ]]\n"
     ]
    }
   ],
   "source": [
    "# repo_dir, _ = download_dataset_repo(dataset_name=\"t28-banana-pick-up\")\n",
    "repo_dir, _ = download_dataset_repo(dataset_name=\"t28-banana-pick-up-automated-dataset\")\n",
    "data_dir = os.path.join(repo_dir, \"data\")\n",
    "trajectory_dir = os.path.join(data_dir, \"trajectories\")\n",
    "image_dir = os.path.join(data_dir, \"images\")\n",
    "json_files = get_files(trajectory_dir)\n",
    "\n",
    "# train_files = [json_files[0]]\n",
    "train_files = json_files\n",
    "val_files = [json_files[0]]\n",
    "\n",
    "# we compute the metrics over the entire dataset\n",
    "sample_count, means, stds = dataset_metrics(train_files, image_dir)\n",
    "with open(\"dataset_params.json\", 'w') as file:\n",
    "    json.dump({\n",
    "        \"means\": [mean.tolist() for mean in means], \n",
    "        \"stds\": [std.tolist() for std in stds]\n",
    "    }, file)\n",
    "\n",
    "train_means = means\n",
    "val_means = means\n",
    "train_stds = stds\n",
    "val_stds = stds\n",
    "print(train_means[1])\n",
    "print(train_stds[1])\n",
    "train_dataset = make_model_dataset(train_files, image_dir, train_means, train_stds)\n",
    "val_dataset = make_model_dataset(val_files, image_dir, val_means, val_stds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-04-26 18:33:41.222352: W tensorflow/core/kernels/data/cache_dataset_ops.cc:858] The calling iterator did not fully read the dataset being cached. In order to avoid unexpected truncation of the dataset, the partially cached contents of the dataset  will be discarded. This can happen if you have an input pipeline similar to `dataset.cache().take(k).repeat()`. You should use `dataset.take(k).cache().repeat()` instead.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[TensorShape([14]), TensorShape([14, 32, 32, 3]), TensorShape([14, 4]), TensorShape([14, 20, 4]), TensorShape([14, 20, 4]), TensorShape([14, 20, 4])]\n",
      "(<tf.Tensor: shape=(14,), dtype=int32, numpy=array([0, 6, 7, 2, 6, 2, 9, 7, 0, 7, 0, 2, 4, 1], dtype=int32)>, <tf.Tensor: shape=(14, 32, 32, 3), dtype=float32, numpy=\n",
      "array([[[[0.5332979 , 0.5465191 , 0.5339086 ],\n",
      "         [0.54484713, 0.5577133 , 0.5509004 ],\n",
      "         [0.5522512 , 0.5712239 , 0.5618739 ],\n",
      "         ...,\n",
      "         [0.5421234 , 0.5655545 , 0.5521423 ],\n",
      "         [0.53457725, 0.5529624 , 0.5423302 ],\n",
      "         [0.5346938 , 0.5539195 , 0.5385463 ]],\n",
      "\n",
      "        [[0.5348766 , 0.54579735, 0.53417355],\n",
      "         [0.54364556, 0.55601096, 0.5456771 ],\n",
      "         [0.5538128 , 0.5671886 , 0.55988   ],\n",
      "         ...,\n",
      "         [0.5480085 , 0.5689289 , 0.55877024],\n",
      "         [0.5354499 , 0.55423236, 0.54177725],\n",
      "         [0.5344526 , 0.5497184 , 0.540533  ]],\n",
      "\n",
      "        [[0.5316678 , 0.5418059 , 0.53544116],\n",
      "         [0.53973395, 0.5491579 , 0.54227084],\n",
      "         [0.5449036 , 0.5589445 , 0.5510279 ],\n",
      "         ...,\n",
      "         [0.5404681 , 0.56095374, 0.5512759 ],\n",
      "         [0.5353945 , 0.5566827 , 0.545707  ],\n",
      "         [0.53520834, 0.54982066, 0.5390877 ]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.49582574, 0.4642883 , 0.46931267],\n",
      "         [0.5309597 , 0.47329172, 0.48312098],\n",
      "         [0.5294531 , 0.48338664, 0.49288774],\n",
      "         ...,\n",
      "         [0.35729456, 0.35049382, 0.34531906],\n",
      "         [0.3509229 , 0.35093957, 0.3424501 ],\n",
      "         [0.46253076, 0.48018685, 0.4648501 ]],\n",
      "\n",
      "        [[0.42526108, 0.41370156, 0.4102595 ],\n",
      "         [0.4445519 , 0.4412555 , 0.4348772 ],\n",
      "         [0.49845165, 0.41729063, 0.43043274],\n",
      "         ...,\n",
      "         [0.37003767, 0.3816081 , 0.368738  ],\n",
      "         [0.54521304, 0.54839826, 0.5412574 ],\n",
      "         [0.44044203, 0.4417208 , 0.43455464]],\n",
      "\n",
      "        [[0.38629624, 0.37151125, 0.3657656 ],\n",
      "         [0.3691181 , 0.3600566 , 0.35625812],\n",
      "         [0.41670507, 0.38971934, 0.38880935],\n",
      "         ...,\n",
      "         [0.37671193, 0.3791539 , 0.36927217],\n",
      "         [0.416786  , 0.40914193, 0.40261015],\n",
      "         [0.43210238, 0.45650142, 0.44619802]]],\n",
      "\n",
      "\n",
      "       [[[0.5468101 , 0.5533991 , 0.56439376],\n",
      "         [0.49870557, 0.50163335, 0.5325563 ],\n",
      "         [0.39518595, 0.40027168, 0.43770254],\n",
      "         ...,\n",
      "         [0.58314854, 0.58762825, 0.60846525],\n",
      "         [0.571361  , 0.5761419 , 0.59502655],\n",
      "         [0.56778896, 0.57645875, 0.59248936]],\n",
      "\n",
      "        [[0.54289734, 0.5502562 , 0.5593674 ],\n",
      "         [0.51978236, 0.5252877 , 0.5436738 ],\n",
      "         [0.45061833, 0.4564527 , 0.4943725 ],\n",
      "         ...,\n",
      "         [0.5832437 , 0.58934486, 0.6105117 ],\n",
      "         [0.5704638 , 0.57875896, 0.59711546],\n",
      "         [0.5686214 , 0.57533157, 0.5931463 ]],\n",
      "\n",
      "        [[0.5386614 , 0.5445002 , 0.5525683 ],\n",
      "         [0.548976  , 0.55493087, 0.56723475],\n",
      "         [0.51317143, 0.5176997 , 0.53767085],\n",
      "         ...,\n",
      "         [0.57374513, 0.58294433, 0.6010356 ],\n",
      "         [0.5711702 , 0.5792562 , 0.59979534],\n",
      "         [0.56197244, 0.56846595, 0.5899886 ]],\n",
      "\n",
      "        ...,\n",
      "\n",
      "        [[0.48821497, 0.4799253 , 0.43603444],\n",
      "         [0.5441695 , 0.53067356, 0.48264477],\n",
      "         [0.53630334, 0.5248808 , 0.48016486],\n",
      "         ...,\n",
      "         [0.28943405, 0.29437968, 0.2811119 ],\n",
      "         [0.28449655, 0.28590694, 0.2860761 ],\n",
      "         [0.52337897, 0.54115206, 0.56128323]],\n",
      "\n",
      "        [[0.378081  , 0.38378346, 0.38257703],\n",
      "         [0.42552802, 0.42040643, 0.37366903],\n",
      "         [0.4723245 , 0.4634104 , 0.3614022 ],\n",
      "         ...,\n",
      "         [0.32954487, 0.33955505, 0.35827556],\n",
      "         [0.6583517 , 0.6579658 , 0.6741343 ],\n",
      "         [0.32496998, 0.3300345 , 0.33255357]],\n",
      "\n",
      "        [[0.34193566, 0.34384805, 0.32987398],\n",
      "         [0.3494772 , 0.35159898, 0.3426341 ],\n",
      "         [0.33324197, 0.3346605 , 0.32064226],\n",
      "         ...,\n",
      "         [0.32235494, 0.32792118, 0.3298329 ],\n",
      "         [0.31890824, 0.3233362 , 0.30735585],\n",
      "         [0.4360488 , 0.44153705, 0.49235564]]],\n",
      "\n",
      "\n",
      "       [[[0.50329715, 0.50809234, 0.5092217 ],\n",
      "         [0.5079925 , 0.5113423 , 0.51335466],\n",
      "         [0.5117947 , 0.51359695, 0.5175068 ],\n",
      "         ...,\n",
      "         [0.5167183 , 0.5197748 , 0.5246005 ],\n",
      "         [0.51291454, 0.5162484 , 0.5199875 ],\n",
      "         [0.51343846, 0.5182872 , 0.5201589 ]],\n",
      "\n",
      "        [[0.5023757 , 0.50714374, 0.5073417 ],\n",
      "         [0.50651133, 0.51072896, 0.5118606 ],\n",
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      "        [-0.02034987, -0.51376237, -1.05490684,  0.56598517],\n",
      "        [-0.45174712, -0.43545265, -1.13976324,  0.42847653],\n",
      "        ...,\n",
      "        [ 1.1505183 ,  1.63416673, -0.62549816,  0.42500399],\n",
      "        [-1.07795437,  1.4590267 , -0.92967019,  0.68766484],\n",
      "        [ 0.16564924,  1.08856184,  0.1338655 ,  0.32019139]],\n",
      "\n",
      "       ...,\n",
      "\n",
      "       [[ 0.99326136,  0.32179052,  0.2831195 , -0.02163892],\n",
      "        [-1.5049248 ,  1.77126938, -0.46824137, -1.36772004],\n",
      "        [-0.71108902, -0.22659155, -0.21393853,  0.38987364],\n",
      "        ...,\n",
      "        [-0.66256685, -2.09237816, -1.38025194, -0.35769736],\n",
      "        [ 0.92828275,  0.90252202,  2.29044632,  0.57134977],\n",
      "        [-0.93983132,  0.81219885,  0.60045743, -0.43950944]],\n",
      "\n",
      "       [[ 0.80614254, -0.03882451,  0.42617714, -0.90459336],\n",
      "        [-2.26410126, -0.37218458,  1.60074574, -1.63810286],\n",
      "        [-0.14996313, -1.26896771, -0.08125456, -0.24623542],\n",
      "        ...,\n",
      "        [-0.46903693, -1.41119297, -0.01222951,  1.30257603],\n",
      "        [-0.50865521, -1.08215242,  1.63862597, -0.99882753],\n",
      "        [ 1.30429011, -0.3918726 , -0.99465736, -0.13014003]],\n",
      "\n",
      "       [[ 0.65000445, -0.81175411, -0.94911263, -0.25055491],\n",
      "        [-1.56193454,  0.90550085, -1.11478155,  0.31546131],\n",
      "        [-0.07952531,  0.76302163,  0.68799318,  0.08427145],\n",
      "        ...,\n",
      "        [ 0.18072373, -0.40130327, -0.38754305, -0.08489137],\n",
      "        [ 0.79277676,  0.85535782,  0.24207004,  0.305326  ],\n",
      "        [ 0.34249125, -1.36657218, -3.85323493, -0.50993279]]])>)\n"
     ]
    }
   ],
   "source": [
    "def test_dataset():\n",
    "    sample = next(iter(train_dataset))\n",
    "    images = sample[1]\n",
    "    plt.figure(figsize=(10, 5))\n",
    "\n",
    "    for i in range(images.shape[0]):\n",
    "        plt.subplot(1, images.shape[0], i+1)  # Creating a subplot for each image\n",
    "        plt.imshow(images[i])\n",
    "        plt.title(f\"Image {i+1}\")\n",
    "        plt.axis('off')  # Hide the axis\n",
    "\n",
    "    plt.show()\n",
    "    print([field.shape for field in sample])\n",
    "    print(sample)\n",
    "test_dataset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_normalize(mean, std):\n",
    "    @jax.jit\n",
    "    def normalize(sample):\n",
    "        return jax.numpy.where(std < 1e-3, 0., (sample - mean) / std)\n",
    "    return normalize\n",
    "\n",
    "def make_unnormalize(mean, std):\n",
    "    @jax.jit\n",
    "    def unnormalize(sample):\n",
    "        return (sample * std) + mean\n",
    "    return unnormalize\n",
    "\n",
    "@jax.jit\n",
    "def to_position(pose, gripper):\n",
    "    position = jax.numpy.zeros((4, ))\n",
    "    position = position.at[:3].set(pose[:3, 3])\n",
    "    position = position.at[3].set(gripper)\n",
    "    return position\n",
    "\n",
    "@jax.jit\n",
    "def from_position(position):\n",
    "    pose = jax.numpy.zeros((4, 4)).at[:3, 3].set(position[:3])\n",
    "    gripper = position[3]\n",
    "    return pose, gripper\n",
    "\n",
    "def make_normalize_position(pose_mean, pose_std, gripper_mean, gripper_std):\n",
    "    normalize_pose = make_normalize(pose_mean, pose_std)\n",
    "    normalize_gripper = make_normalize(gripper_mean, gripper_std)\n",
    "    @jax.jit\n",
    "    def normalize(pose, gripper):\n",
    "        normalized_pose = normalize_pose(pose)\n",
    "        normalized_gripper = normalize_gripper(gripper)\n",
    "        return to_position(normalized_pose, normalized_gripper)\n",
    "    return functools.partial(normalize)\n",
    "\n",
    "def make_unnormalize_position(pose_mean, pose_std, gripper_mean, gripper_std):\n",
    "    unnormalize_pose = make_unnormalize(pose_mean, pose_std)\n",
    "    unnormalize_gripper = make_unnormalize(gripper_mean, gripper_std)\n",
    "    @jax.jit\n",
    "    def unnormalize(normalized_position):\n",
    "        normalized_pose, normalized_gripper = from_position(normalized_position)\n",
    "        pose = unnormalize_pose(normalized_pose)\n",
    "        gripper = unnormalize_gripper(normalized_gripper)\n",
    "        return to_position(pose, gripper)\n",
    "    return functools.partial(unnormalize)\n",
    "\n",
    "normalize_image = make_normalize(means[0], stds[0])\n",
    "normalize_current_position = make_normalize_position(means[1], stds[1], means[3], stds[3])\n",
    "normalize_desired_position = make_normalize_position(means[2], stds[2], means[4], stds[4])\n",
    "unnormalize_desired_position = make_unnormalize_position(means[2], stds[2], means[4], stds[4])\n",
    "\n",
    "y_std = jax.numpy.zeros((LOOKAHEAD_STEPS, *POSE_SHAPE))\n",
    "y_std = y_std.at[:, :3].set(train_stds[2][:3, 3])\n",
    "y_std = y_std.at[:, 3].set(train_stds[4])\n",
    "y_mean = jax.numpy.zeros((LOOKAHEAD_STEPS, *POSE_SHAPE))\n",
    "y_mean = y_mean.at[:, :3].set(train_means[2][:3, 3])\n",
    "y_mean = y_mean.at[:, 3].set(train_means[4])\n",
    "y_unnormalize = make_unnormalize(y_mean, y_std)\n",
    "batched_loss_fn = make_batched_loss_fn(make_compute_loss())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the take here is to handle the repeat in the dataset?\n",
    "EPOCHS = 200\n",
    "NUM_SAMPLES = 100\n",
    "bounded_shuffled_dataset = train_dataset.repeat().shuffle(NUM_SAMPLES).batch(BATCH_SIZE).take(NUM_SAMPLES).prefetch(tf.data.AUTOTUNE)\n",
    "dynamic_model, static_model, state = make_test_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0b05575d53324d38bf2865c20d33a603",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Epochs:   0%|          | 0/200 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "schedule = optax.join_schedules(\n",
    "    schedules=[\n",
    "        optax.linear_schedule(init_value=0.0, end_value=LR, transition_steps=NUM_SAMPLES),\n",
    "        optax.cosine_decay_schedule(init_value=LR, decay_steps=(EPOCHS - 1) * NUM_SAMPLES)\n",
    "    ],\n",
    "    boundaries=[NUM_SAMPLES]\n",
    ")\n",
    "optimizer = optax.adamw(learning_rate=schedule)\n",
    "opt_state = optimizer.init(\n",
    "    eqx.filter(dynamic_model, eqx.is_array_like)\n",
    ")\n",
    "\n",
    "\n",
    "pbar_epoch = tqdm(range(EPOCHS), position=0, leave=True, desc=\"Epochs\")\n",
    "losses = []\n",
    "current_time = datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\")\n",
    "log_dir = f\"logs/{current_time}\"\n",
    "summary_writer = tf.summary.create_file_writer(log_dir)\n",
    "with summary_writer.as_default():\n",
    "    global_train_count = 0\n",
    "    rng = jax.random.PRNGKey(0)\n",
    "    for epoch in pbar_epoch:\n",
    "        gc.collect()\n",
    "        train_accuracy_state = accuracy_init()\n",
    "        train_accuracies = []\n",
    "        train_losses = []\n",
    "        bounded_shuffled_dataset_iter = iter(bounded_shuffled_dataset)\n",
    "        for sample in bounded_shuffled_dataset_iter:\n",
    "            t, images, current_positions, desired_positions, noisy_positions, noise = [jax.numpy.asarray(x) for x in sample]\n",
    "            x = (t, images, current_positions, desired_positions, noisy_positions)\n",
    "            y = desired_positions\n",
    "            padding = jax.numpy.ones((BATCH_SIZE, SEQUENCE_LENGTH))\n",
    "            \n",
    "            rng, key = jax.random.split(rng)\n",
    "            train_loss, dynamic_model, state, opt_state = take_step(\n",
    "                batched_loss_fn,\n",
    "                dynamic_model,\n",
    "                static_model,\n",
    "                state,\n",
    "                x,\n",
    "                y,\n",
    "                padding,\n",
    "                optimizer,\n",
    "                opt_state,\n",
    "                key\n",
    "            )\n",
    "            train_losses.append(train_loss)\n",
    "            tf.summary.scalar(\"training_loss\", train_loss, global_train_count)\n",
    "            if global_train_count % 100 == 0:\n",
    "                rng, key = jax.random.split(rng)\n",
    "                key = jax.random.split(key, images.shape[0])\n",
    "                # unnormalize the desired positions + predicted desired positions so accuracy makes sense\n",
    "                desired_positions_hat = jax.vmap(sample_diffusion_model, in_axes=(None, None, 0, 0, 0, 0, 0))(\n",
    "                    eqx.combine(dynamic_model, static_model),\n",
    "                    state,\n",
    "                    images,\n",
    "                    current_positions,\n",
    "                    desired_positions,\n",
    "                    padding,\n",
    "                    key\n",
    "                )\n",
    "                # vmap over batch and sequence so lift it twice\n",
    "                desired_positions = jax.vmap(jax.vmap(y_unnormalize))(desired_positions)\n",
    "                desired_positions_hat = jax.vmap(jax.vmap(y_unnormalize))(desired_positions_hat)\n",
    "                train_accuracy = accuracy(desired_positions, desired_positions_hat)\n",
    "                train_accuracies.append(train_accuracy)\n",
    "                tf.summary.scalar(\"training_accuracy\", train_accuracy, global_train_count)\n",
    "                model = eqx.combine(dynamic_model, static_model)\n",
    "                current_time = datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\")\n",
    "                save_model(model, f\"models/model_{current_time}.eqx\")\n",
    "                save_model(model, \"model.eqx\")\n",
    "            global_train_count += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-3.86554003e-02  7.29057938e-04 -2.02923194e-02]\n",
      "  [-6.44567609e-03 -4.00920585e-03  2.25955322e-02]\n",
      "  [-3.36602777e-02 -3.45890224e-03 -4.36942577e-02]\n",
      "  [-1.65349990e-02  7.62134790e-03  4.55504358e-02]\n",
      "  [ 2.31172144e-02 -3.57177854e-03 -4.07743528e-02]\n",
      "  [-1.01616383e-02  2.27716565e-03  1.86946914e-02]\n",
      "  [ 1.64006352e-02 -1.62568316e-02  1.26339749e-01]\n",
      "  [-6.50179386e-03 -6.68704510e-03 -4.20034677e-03]\n",
      "  [-2.79556066e-02  5.77997416e-04  7.17371851e-02]\n",
      "  [-4.26626354e-02 -2.12810785e-02  1.29231125e-01]\n",
      "  [-1.08793378e-03 -7.02445209e-03  4.38854843e-02]\n",
      "  [-2.04606652e-02  3.76200303e-03 -2.41994113e-02]\n",
      "  [-3.50138545e-03 -2.15815268e-02  4.27503064e-02]\n",
      "  [-3.18468958e-02  7.13425502e-03  1.78019926e-02]\n",
      "  [-2.47625411e-02 -1.30636692e-02  3.94679904e-02]\n",
      "  [-2.68412083e-02 -1.31869130e-02 -1.57190673e-02]\n",
      "  [-9.67711210e-03 -1.48099009e-02  1.61201909e-01]\n",
      "  [ 2.57423520e-03  4.12965193e-03  7.89192170e-02]\n",
      "  [ 1.66645050e-02 -3.47981229e-03  7.05537796e-02]\n",
      "  [-2.92093009e-02 -2.76355632e-03  1.24613754e-01]]\n",
      "\n",
      " [[ 1.13561749e-03  1.20856911e-02  2.19857469e-02]\n",
      "  [-5.42658567e-03 -1.68705359e-03  4.10892814e-02]\n",
      "  [-6.98435307e-03  9.14856791e-05  4.28879112e-02]\n",
      "  [-2.53596604e-02 -5.56420907e-03 -5.32206818e-02]\n",
      "  [-1.48299932e-02  6.76342100e-03  8.41394216e-02]\n",
      "  [-4.97102737e-05  4.69906069e-03 -2.28933245e-03]\n",
      "  [-1.25881135e-02  5.91724925e-03  5.93171567e-02]\n",
      "  [-2.24190950e-03 -4.76060808e-03  3.38327177e-02]\n",
      "  [ 1.79745853e-02 -1.15607679e-03 -7.59440362e-02]\n",
      "  [ 3.20407748e-03  8.52245837e-04 -1.10932603e-01]\n",
      "  [ 1.89085007e-02  6.02900423e-03  1.08958036e-02]\n",
      "  [-1.31150782e-02 -1.68308057e-02 -7.22241253e-02]\n",
      "  [ 8.18634033e-03  5.31017967e-03 -5.82120046e-02]\n",
      "  [-2.80951262e-02  3.38893570e-03  9.04074535e-02]\n",
      "  [ 4.60340977e-02  9.63744894e-03  6.92866743e-03]\n",
      "  [ 2.33790278e-03 -1.52834170e-02 -5.88186532e-02]\n",
      "  [ 2.49789953e-02  7.70730712e-03  3.03374194e-02]\n",
      "  [ 5.93107939e-03  7.79036805e-03  4.89850119e-02]\n",
      "  [ 1.43609643e-02  1.05680786e-02 -1.71847269e-01]\n",
      "  [ 1.97066963e-02  3.95117141e-03  1.26462162e-01]]\n",
      "\n",
      " [[ 3.09677422e-02  1.26456842e-03  4.23818305e-02]\n",
      "  [-2.52270699e-03  1.30503159e-02  1.92182392e-01]\n",
      "  [ 2.65432894e-02  7.75484554e-03  8.07945356e-02]\n",
      "  [ 1.44956112e-02 -1.66433305e-03 -2.86610946e-02]\n",
      "  [-2.17773318e-02  1.55056883e-02  3.08332369e-02]\n",
      "  [-2.92156041e-02 -2.88419798e-03 -2.79079471e-02]\n",
      "  [ 1.63334012e-02 -1.77320279e-03  3.40159759e-02]\n",
      "  [ 5.33983111e-03  2.69155018e-03 -4.79003154e-02]\n",
      "  [-2.69902647e-02 -3.24423425e-03 -1.05847910e-01]\n",
      "  [-5.69954515e-03 -8.34446587e-03 -7.40763545e-02]\n",
      "  [ 2.70640552e-02 -1.53101981e-04 -4.49304059e-02]\n",
      "  [ 2.53183842e-02  7.69823790e-03  6.10413626e-02]\n",
      "  [-1.25694573e-02 -4.16583195e-03  2.96406448e-02]\n",
      "  [-2.09125280e-02  2.23506661e-03 -5.00400253e-02]\n",
      "  [-2.68825889e-03 -2.11898610e-03  4.27933484e-02]\n",
      "  [ 1.62636936e-02 -1.93432532e-03  5.21346778e-02]\n",
      "  [ 1.47963166e-02 -1.23306634e-02  3.42795998e-02]\n",
      "  [-1.29955411e-02 -9.03305318e-03  2.03331970e-02]\n",
      "  [-5.23954630e-04  6.64722174e-04  3.45265642e-02]\n",
      "  [-3.20434570e-03 -2.02945899e-03  5.69677725e-02]]\n",
      "\n",
      " [[ 4.55474854e-03  3.03860195e-03 -5.24335504e-02]\n",
      "  [ 3.50592136e-02  8.64126254e-03 -3.36300582e-02]\n",
      "  [ 5.08907437e-03  3.08779627e-03 -1.16522506e-01]\n",
      "  [-8.25968385e-03 -1.28867151e-02  7.82368705e-03]\n",
      "  [ 2.29438245e-02 -1.53704565e-02 -2.68991664e-03]\n",
      "  [ 1.72407627e-02 -9.33927763e-03 -4.76924181e-02]\n",
      "  [ 1.71284676e-02 -2.82220319e-02  1.00468166e-01]\n",
      "  [ 3.43968272e-02 -1.03911031e-02 -9.68716145e-02]\n",
      "  [-7.49453902e-03 -3.85768805e-03 -7.87346289e-02]\n",
      "  [ 6.32038713e-03 -1.00137834e-02 -1.27712339e-01]\n",
      "  [ 2.26282179e-02 -4.49935254e-03 -1.95942409e-02]\n",
      "  [ 2.59164572e-02 -2.33325623e-02  6.82296231e-03]\n",
      "  [ 3.84139419e-02 -2.32167505e-02 -6.81418031e-02]\n",
      "  [ 1.65491998e-02 -6.78349845e-03 -1.70439124e-01]\n",
      "  [ 1.51102245e-02 -1.74521580e-02 -6.30425289e-02]\n",
      "  [-3.47951055e-03 -4.53782268e-03  1.25292018e-02]\n",
      "  [ 1.92546844e-02 -1.59928966e-02 -1.00733615e-01]\n",
      "  [ 1.43429935e-02 -1.84550248e-02  8.52288380e-02]\n",
      "  [-1.26925111e-02 -1.30383112e-03 -8.51259567e-03]\n",
      "  [ 2.15914845e-03 -9.84557811e-03 -1.23645313e-01]]\n",
      "\n",
      " [[-1.57629251e-02 -3.82440723e-03 -8.14213604e-02]\n",
      "  [ 3.84634435e-02 -1.21515244e-03 -3.82571667e-02]\n",
      "  [-1.80220902e-02 -4.00185026e-03 -5.63213192e-02]\n",
      "  [ 9.41723585e-04  5.43021411e-03 -2.78090723e-02]\n",
      "  [-6.72072172e-04 -8.96038488e-03  5.06363660e-02]\n",
      "  [ 7.00762868e-03  3.13489512e-03 -1.14499535e-02]\n",
      "  [-1.35264695e-02 -1.11391861e-03 -6.00425079e-02]\n",
      "  [ 3.54844332e-03 -2.20446922e-02  5.38833067e-02]\n",
      "  [ 1.47727728e-02 -2.54696980e-03 -6.92197531e-02]\n",
      "  [ 2.17565894e-02 -9.37681273e-03 -1.18721977e-01]\n",
      "  [-3.29759419e-02 -1.02387536e-02 -7.98422843e-02]\n",
      "  [ 2.95692682e-03 -1.15627563e-02 -2.61571258e-03]\n",
      "  [ 1.71816051e-02 -1.00926496e-03 -2.02210292e-01]\n",
      "  [-1.61940157e-02 -3.59945931e-03 -4.54739481e-02]\n",
      "  [ 4.62979078e-04 -5.03751170e-03 -7.11496770e-02]\n",
      "  [-4.58341837e-03 -3.23126279e-03 -3.02707423e-02]\n",
      "  [ 2.20757723e-03 -1.07984506e-02 -7.45552033e-02]\n",
      "  [-1.21594369e-02 -1.07368873e-02  1.67018138e-02]\n",
      "  [ 1.63220465e-02 -2.05895677e-03  1.45691521e-02]\n",
      "  [-2.84212828e-02 -4.89391200e-03 -9.94737819e-03]]\n",
      "\n",
      " [[ 2.12731659e-02 -4.50348202e-03 -1.07467398e-01]\n",
      "  [ 8.87137651e-03  7.46075436e-03 -7.67913461e-02]\n",
      "  [ 3.28159332e-03  1.17186205e-02  1.90140903e-01]\n",
      "  [ 3.51984501e-02 -7.61800259e-03 -6.88761473e-02]\n",
      "  [-1.09134912e-02  1.36516988e-04  5.52876368e-02]\n",
      "  [ 3.62724066e-04  2.18512677e-03 -6.10544086e-02]\n",
      "  [ 1.02492571e-02 -4.46846522e-03 -1.12468578e-01]\n",
      "  [ 7.07077980e-03 -7.37534091e-03  5.80925047e-02]\n",
      "  [ 1.48187876e-02 -1.04736220e-02  5.35477549e-02]\n",
      "  [ 7.56147504e-03  2.30209101e-02 -1.16881132e-01]\n",
      "  [-8.44269991e-03 -1.46944560e-02  4.58869077e-02]\n",
      "  [-3.61204147e-05 -2.03084201e-04  4.15597968e-02]\n",
      "  [-1.51711702e-03 -1.88467279e-03  8.71931687e-02]\n",
      "  [-5.21853566e-03 -6.46134093e-03  1.05916925e-01]\n",
      "  [ 2.12568641e-02  3.78804840e-03 -1.51174843e-01]\n",
      "  [-6.55689836e-03  8.44245590e-03 -4.84250002e-02]\n",
      "  [-1.79706812e-02  7.88055360e-04  1.59862377e-02]\n",
      "  [-4.04459238e-03 -3.07228789e-03 -2.06652489e-02]\n",
      "  [-9.58833098e-03 -1.28140915e-02 -2.11195908e-02]\n",
      "  [-7.69257545e-04  1.09714530e-02 -4.35188748e-02]]\n",
      "\n",
      " [[ 1.00016594e-03 -1.90932304e-03 -8.14752877e-02]\n",
      "  [ 1.99874640e-02 -2.77750194e-04 -3.82739604e-02]\n",
      "  [ 2.81861424e-02 -2.81810015e-03 -6.28239475e-03]\n",
      "  [-9.02861357e-04 -9.20771994e-03  9.50025544e-02]\n",
      "  [-2.88772583e-03  8.74025654e-03  2.56618261e-02]\n",
      "  [-3.84090543e-02  1.97889283e-04  8.84547271e-03]\n",
      "  [ 4.58434820e-02 -1.56611428e-02  1.20157018e-01]\n",
      "  [-5.08487225e-04  2.68332008e-03  7.80706294e-03]\n",
      "  [-9.04688239e-03 -1.68417208e-03  6.62990287e-02]\n",
      "  [-2.08658576e-02  4.61507402e-03 -5.88843524e-02]\n",
      "  [-1.81504786e-02  4.16040979e-03  1.96341705e-02]\n",
      "  [-1.50915980e-03 -1.24843419e-02  9.65183601e-04]\n",
      "  [-3.02264094e-03 -6.71147369e-03  1.37181506e-01]\n",
      "  [ 1.33713782e-02  2.53496319e-03  3.61986458e-03]\n",
      "  [-1.90963149e-02  6.91647083e-03  4.81724553e-02]\n",
      "  [-1.22292340e-02 -1.54514685e-02 -2.66668713e-03]\n",
      "  [ 1.53882205e-02  1.48670916e-02 -5.89966029e-02]\n",
      "  [ 4.01703119e-02  4.75464202e-03 -2.53419895e-02]\n",
      "  [ 1.00946128e-02  1.69116259e-03  2.58510895e-02]\n",
      "  [ 2.38698721e-03  8.73224996e-03 -1.75607763e-03]]\n",
      "\n",
      " [[ 5.95587492e-03  8.55744537e-03 -5.64317182e-02]\n",
      "  [-9.91722941e-03  1.46858767e-03 -7.31077343e-02]\n",
      "  [ 2.43083239e-02  3.93362157e-03  4.06602249e-02]\n",
      "  [ 2.24450827e-02  8.04974604e-03  1.07281499e-01]\n",
      "  [ 2.43970454e-02 -5.40621579e-03 -2.63361335e-02]\n",
      "  [ 4.21145558e-03  4.70614340e-03 -3.84561382e-02]\n",
      "  [ 4.75928187e-03 -4.05706838e-03  1.39037967e-01]\n",
      "  [ 3.39665711e-02 -3.54095921e-03 -6.77164719e-02]\n",
      "  [-6.75916672e-05  1.61603205e-02  3.53104025e-02]\n",
      "  [ 3.41411531e-02 -5.87480143e-04 -1.83298830e-02]\n",
      "  [ 1.75226331e-02  2.15068236e-02 -1.09904818e-02]\n",
      "  [ 2.17287540e-02 -8.59312527e-03  5.82270622e-02]\n",
      "  [ 2.77972221e-02 -1.27802286e-02 -4.65197675e-03]\n",
      "  [ 3.30288708e-02 -1.38434134e-02 -6.66277409e-02]\n",
      "  [-7.64951110e-03 -8.67304392e-03  2.83738151e-02]\n",
      "  [ 1.52581930e-03 -1.09732524e-03  3.02403569e-02]\n",
      "  [ 3.78359854e-02 -3.18271667e-03  3.03366221e-02]\n",
      "  [ 2.09407806e-02 -1.80006772e-03  3.56700458e-03]\n",
      "  [-7.54675269e-03 -5.94377704e-03  5.86507022e-02]\n",
      "  [-2.68923342e-02 -1.05645647e-02  1.49348415e-02]]\n",
      "\n",
      " [[-9.37327743e-03 -4.56915237e-04 -1.32660344e-01]\n",
      "  [ 2.24184394e-02 -3.35453451e-03 -1.54988468e-01]\n",
      "  [ 4.75341082e-02 -4.15308587e-03 -9.28257108e-02]\n",
      "  [ 2.16710269e-02 -7.42404163e-03 -9.18674022e-02]\n",
      "  [ 2.73085237e-02  9.60807968e-03 -2.58513689e-02]\n",
      "  [ 1.32104158e-02 -4.50875051e-03 -1.59556448e-01]\n",
      "  [ 2.70416737e-02  3.68656591e-04  6.40911981e-02]\n",
      "  [ 1.99541450e-02  3.37338634e-03 -6.22048341e-02]\n",
      "  [ 3.17835808e-03 -1.63823739e-03 -9.45838392e-02]\n",
      "  [ 2.24842727e-02  1.03203813e-02 -8.13895762e-02]\n",
      "  [ 4.06802893e-02  2.70949863e-03  4.24635783e-02]\n",
      "  [ 2.15043724e-02  1.74286049e-02  2.24447623e-02]\n",
      "  [ 2.65299380e-02  1.09945983e-03 -6.73078224e-02]\n",
      "  [ 6.72712922e-03 -7.37586059e-03 -8.66140574e-02]\n",
      "  [-1.74496472e-02  7.26310257e-03 -7.49469548e-02]\n",
      "  [ 1.39842331e-02  1.33779459e-03  9.54147279e-02]\n",
      "  [ 2.88495421e-02  5.89652359e-03  2.08206475e-02]\n",
      "  [ 2.87660956e-03  1.09257698e-02 -6.17481768e-04]\n",
      "  [ 1.94087029e-02  9.05946270e-03  2.88934410e-02]\n",
      "  [ 3.98574173e-02  1.04371235e-02  2.64442787e-02]]\n",
      "\n",
      " [[ 1.43854022e-02  1.35100894e-02 -7.83832222e-02]\n",
      "  [-1.66938603e-02  3.81171610e-03 -7.17066228e-03]\n",
      "  [-1.30398870e-02  4.59340587e-03  2.04281524e-01]\n",
      "  [ 3.25563550e-03  2.28828173e-02  9.22200978e-02]\n",
      "  [-1.77770853e-04  1.40574500e-02  1.91814616e-01]\n",
      "  [ 1.03603005e-02  1.02173742e-02  8.91385078e-02]\n",
      "  [ 7.27051497e-03  2.80959383e-02 -6.95894733e-02]\n",
      "  [-1.60226524e-02  8.72252509e-03  1.15381837e-01]\n",
      "  [-2.44165957e-02  8.23210925e-03  6.97986186e-02]\n",
      "  [ 1.10328496e-02  1.01554282e-02  6.69440031e-02]\n",
      "  [-7.58141279e-03  1.23242494e-02  1.57050535e-01]\n",
      "  [-3.25383991e-02  8.98991153e-03  1.33028060e-01]\n",
      "  [-1.85991228e-02  1.21458666e-02 -1.73347741e-02]\n",
      "  [-1.26171708e-02  1.23367440e-02  4.99798059e-02]\n",
      "  [-3.63378823e-02  1.27429105e-02 -3.03365886e-02]\n",
      "  [-2.50018537e-02 -4.83736768e-03  4.49300557e-02]\n",
      "  [-2.65813917e-02  6.02032058e-03  1.00307375e-01]\n",
      "  [ 4.98193502e-03  1.76440924e-02 -7.91040063e-03]\n",
      "  [-1.50085390e-02  1.42338658e-02  4.29257154e-02]\n",
      "  [-2.09548771e-02  9.87881795e-04  7.21778721e-02]]\n",
      "\n",
      " [[ 6.92740083e-03  8.10909458e-03  1.49281308e-01]\n",
      "  [-1.89186037e-02  2.18417645e-02  2.01443508e-01]\n",
      "  [-2.83226669e-02  1.94644332e-02  1.47016615e-01]\n",
      "  [-1.01584196e-03  1.00846868e-02  1.66759759e-01]\n",
      "  [-3.54859382e-02  1.53430309e-02  1.45631164e-01]\n",
      "  [-3.48695219e-02 -4.29015607e-03  2.03714728e-01]\n",
      "  [-3.11997533e-02  3.92920151e-03  1.48091361e-01]\n",
      "  [-3.81290913e-02  4.03635763e-03  1.42893314e-01]\n",
      "  [-2.85807550e-02  4.89981845e-04  2.38886446e-01]\n",
      "  [-2.46031880e-02 -3.07128020e-03  8.36384818e-02]\n",
      "  [-4.57101464e-02  1.93032250e-03  1.43444136e-01]\n",
      "  [-1.15027726e-02  2.19525397e-03  2.50339136e-03]\n",
      "  [-3.84860933e-02 -1.92995369e-03  1.36573911e-01]\n",
      "  [-4.22214270e-02  5.05662151e-03  1.66202158e-01]\n",
      "  [-3.02074254e-02 -1.02407206e-02  9.36050043e-02]\n",
      "  [-4.29908037e-02 -2.89898552e-03  1.68464839e-01]\n",
      "  [-5.22732288e-02 -3.65640596e-03  1.73073947e-01]\n",
      "  [-4.42318320e-02  1.11698918e-03  2.87041813e-01]\n",
      "  [-3.80114913e-02 -1.99559592e-02  2.93866128e-01]\n",
      "  [-6.03628159e-02 -1.36840753e-02  1.91877991e-01]]\n",
      "\n",
      " [[-5.33092618e-02 -6.03317656e-03  1.35968566e-01]\n",
      "  [-2.51273215e-02  1.34315640e-02  1.98754489e-01]\n",
      "  [-2.90403962e-02  6.44235499e-03  1.58176333e-01]\n",
      "  [-2.54161060e-02 -4.07231972e-04  2.13344157e-01]\n",
      "  [-2.59194970e-02  1.46137308e-02  4.29706424e-02]\n",
      "  [-2.31915712e-03 -7.70249963e-03  2.39536554e-01]\n",
      "  [-5.80387115e-02  2.68974341e-03  1.87260896e-01]\n",
      "  [-8.22687149e-03  5.24427928e-03  1.39480978e-01]\n",
      "  [-4.92376685e-02 -3.97597626e-03  1.55680805e-01]\n",
      "  [-4.20852602e-02 -3.73808853e-03  1.99938595e-01]\n",
      "  [-1.44734383e-02  1.17190182e-03  8.52077827e-02]\n",
      "  [-4.98319417e-02 -1.02801621e-03  3.69665772e-02]\n",
      "  [-5.53171337e-02  2.46819481e-03  3.89496863e-01]\n",
      "  [-2.76545882e-02 -6.74581714e-03  9.27429348e-02]\n",
      "  [-4.13116813e-02 -1.48937069e-02  2.61237204e-01]\n",
      "  [-2.51325965e-03  1.55909173e-03  1.52869970e-01]\n",
      "  [-1.36121511e-02 -2.52528712e-02  1.00089222e-01]\n",
      "  [-3.11276913e-02 -1.80448778e-03  1.22752577e-01]\n",
      "  [-5.01715839e-02 -8.93338397e-03  2.15988457e-01]\n",
      "  [-2.18480229e-02 -2.07883045e-02  2.16125309e-01]]\n",
      "\n",
      " [[-4.41734195e-02 -1.00501254e-03  6.41118959e-02]\n",
      "  [-3.58221233e-02  2.25669295e-02  7.53212795e-02]\n",
      "  [-3.80097479e-02  4.01168875e-03  1.32583618e-01]\n",
      "  [-2.59537995e-02 -1.31477304e-02  1.25989854e-01]\n",
      "  [-2.31380761e-02  1.32618221e-02  7.01730698e-02]\n",
      "  [-3.66588235e-02 -3.51545401e-03  1.95084363e-01]\n",
      "  [-4.39112782e-02 -4.87441383e-03  1.09625056e-01]\n",
      "  [-4.32828069e-02  7.01778568e-03  1.87105522e-01]\n",
      "  [-1.62248909e-02 -1.85222737e-03  8.39242190e-02]\n",
      "  [-5.33054322e-02 -8.16609897e-03  2.08615318e-01]\n",
      "  [-3.42537165e-02 -4.00340371e-03  1.42188698e-01]\n",
      "  [-4.39596772e-02 -7.97094218e-03  1.67874098e-01]\n",
      "  [-3.76517475e-02 -8.28909501e-03  1.72976971e-01]\n",
      "  [-4.16070819e-02  1.09314583e-02  5.51859625e-02]\n",
      "  [-1.98515952e-02 -4.15581092e-03  5.88904172e-02]\n",
      "  [-2.48449743e-02 -6.68771751e-03  1.20026059e-01]\n",
      "  [-4.52194363e-02 -2.38579512e-03  1.17955446e-01]\n",
      "  [-3.88929248e-02 -1.02367457e-02  8.26442614e-02]\n",
      "  [-1.63113177e-02  6.35483954e-03  2.23891616e-01]\n",
      "  [-1.18443370e-02 -6.12174720e-03  2.86156565e-01]]\n",
      "\n",
      " [[-2.17578411e-02 -2.86845118e-03  2.01144606e-01]\n",
      "  [-2.12252438e-02  1.12193413e-02  2.63642557e-02]\n",
      "  [-5.32579124e-02 -1.18010249e-02  1.65683210e-01]\n",
      "  [-2.43059397e-02 -1.22196078e-02  1.20486856e-01]\n",
      "  [-3.95072699e-02 -3.35313194e-03  2.35093012e-01]\n",
      "  [ 1.46225095e-02 -4.44476493e-03  1.21737078e-01]\n",
      "  [-1.32642984e-02 -5.80092892e-04  2.65780389e-01]\n",
      "  [-1.71131790e-02 -8.20916891e-03  2.05298245e-01]\n",
      "  [-4.74446416e-02 -5.20247407e-03  1.99471653e-01]\n",
      "  [-4.69701588e-02  2.13225093e-03  2.43033320e-01]\n",
      "  [-1.49153471e-02 -3.08110937e-03  1.18585795e-01]\n",
      "  [-3.43181789e-02 -6.84467144e-03  1.04960009e-01]\n",
      "  [-4.82150614e-02 -1.08176488e-02  1.08774751e-01]\n",
      "  [-3.58719826e-02 -4.79876995e-03  2.08609134e-01]\n",
      "  [-2.23079622e-02  3.10652517e-03  9.49683636e-02]\n",
      "  [-3.92151177e-02 -1.60273723e-02  1.43167943e-01]\n",
      "  [-5.60232550e-02 -1.23262713e-02  1.89400226e-01]\n",
      "  [-2.81092823e-02 -6.55247085e-03  1.44016474e-01]\n",
      "  [-5.38096577e-02 -1.19188642e-02  1.65833563e-01]\n",
      "  [-3.09676826e-02 -2.25897394e-02  2.00233966e-01]]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-1.63782537e-02 -6.03631139e-04 -1.04559585e-02]\n",
      "  [-4.94754314e-03 -2.18179822e-03  1.96563751e-02]\n",
      "  [-1.40624046e-02 -1.65093690e-03 -1.67102963e-02]\n",
      "  [-7.28845596e-03  2.65552104e-03  2.29282156e-02]\n",
      "  [ 9.84573364e-03 -1.54167414e-03 -2.18293965e-02]\n",
      "  [-7.58031011e-03 -1.27933919e-04  1.03444234e-02]\n",
      "  [ 6.48579001e-03 -8.59394297e-03  5.73309064e-02]\n",
      "  [-3.87743115e-03 -3.40989977e-03 -1.24070048e-03]\n",
      "  [-1.24777853e-02 -8.54775310e-04  3.12203988e-02]\n",
      "  [-1.98183060e-02 -1.12601258e-02  5.34681305e-02]\n",
      "  [-1.58059597e-03 -3.93030792e-03  1.56569108e-02]\n",
      "  [-8.67912173e-03  1.38784200e-03 -8.20081681e-03]\n",
      "  [-1.62324309e-03 -1.08583085e-02  2.02074349e-02]\n",
      "  [-1.64016485e-02  2.46420503e-03  6.01280481e-03]\n",
      "  [-1.22257471e-02 -7.03549385e-03  1.68117285e-02]\n",
      "  [-1.22202039e-02 -6.30082563e-03 -6.21955842e-03]\n",
      "  [-5.56313992e-03 -7.24669173e-03  7.48492628e-02]\n",
      "  [-4.88311052e-04  9.75556672e-04  4.30535413e-02]\n",
      "  [ 7.13023543e-03 -2.32170522e-03  3.89980935e-02]\n",
      "  [-1.44307613e-02 -1.39180198e-03  6.29808083e-02]]\n",
      "\n",
      " [[ 6.55740499e-04  4.69968468e-03  9.87510383e-03]\n",
      "  [-1.70797110e-03 -8.53925943e-04  1.64244771e-02]\n",
      "  [-2.96702981e-03  2.50637531e-04  1.42764859e-02]\n",
      "  [-9.47663188e-03 -2.12980807e-03 -2.27798708e-02]\n",
      "  [-5.11273742e-03  2.91343406e-03  3.08206640e-02]\n",
      "  [ 7.83711672e-04  2.16240808e-03 -1.19757280e-03]\n",
      "  [-4.79635596e-03  2.15366483e-03  2.71421522e-02]\n",
      "  [-7.68750906e-04 -1.84828416e-03  1.30728446e-02]\n",
      "  [ 7.17130303e-03 -1.43799931e-04 -2.94480715e-02]\n",
      "  [ 1.69077516e-03  2.77163461e-04 -4.38152775e-02]\n",
      "  [ 8.03717971e-03  2.64410116e-03  2.84601748e-03]\n",
      "  [-5.16408682e-03 -6.44532964e-03 -3.18537056e-02]\n",
      "  [ 3.68866324e-03  2.33737193e-03 -2.55876835e-02]\n",
      "  [-1.11268759e-02  1.86268426e-03  3.64890322e-02]\n",
      "  [ 1.84777975e-02  3.95011157e-03  3.43563780e-03]\n",
      "  [ 1.17242336e-03 -6.09549135e-03 -2.42992304e-02]\n",
      "  [ 1.06877685e-02  3.17723304e-03  1.23743974e-02]\n",
      "  [ 3.37868929e-03  3.50803696e-03  2.10717618e-02]\n",
      "  [ 6.95639849e-03  4.47676517e-03 -6.82763159e-02]\n",
      "  [ 7.75325298e-03  1.77224353e-03  5.27335107e-02]]\n",
      "\n",
      " [[ 1.16086602e-02  1.01029128e-03  2.63144374e-02]\n",
      "  [-3.70112062e-03  5.84798772e-03  8.10948461e-02]\n",
      "  [ 9.52807069e-03  4.40104771e-03  3.25156301e-02]\n",
      "  [ 3.95822525e-03  7.29912892e-04 -1.09752677e-02]\n",
      "  [-9.92646813e-03  8.06363299e-03  1.15238763e-02]\n",
      "  [-1.15087628e-02  1.91780739e-04 -7.40613230e-03]\n",
      "  [ 4.77471948e-03  1.76838227e-03  1.54424347e-02]\n",
      "  [ 1.13850832e-03  3.21158394e-03 -1.63759757e-02]\n",
      "  [-1.16423368e-02  3.35619785e-04 -3.62692140e-02]\n",
      "  [-3.16709280e-03 -3.24009918e-04 -2.67622396e-02]\n",
      "  [ 9.66393948e-03  2.27751490e-03 -1.58682410e-02]\n",
      "  [ 7.88569450e-03  5.71164954e-03  2.36644559e-02]\n",
      "  [-5.81857562e-03  1.40879070e-03  2.52951942e-02]\n",
      "  [-9.66575742e-03  2.65284721e-03 -1.34427194e-02]\n",
      "  [-1.67271495e-03  1.17768720e-03  2.78564245e-02]\n",
      "  [ 6.81248307e-03  9.52016562e-04  2.22886503e-02]\n",
      "  [ 6.27860427e-03 -3.26145533e-03  1.48743652e-02]\n",
      "  [-5.27152419e-03 -1.83278229e-03  1.66070424e-02]\n",
      "  [-1.09517574e-03  2.03876756e-03  1.48582831e-02]\n",
      "  [-3.55958939e-04  8.75666738e-04  2.76451930e-02]]\n",
      "\n",
      " [[ 9.22626257e-03  5.48372325e-03 -1.68450642e-02]\n",
      "  [ 2.24612653e-02  1.93495769e-03 -1.34633901e-02]\n",
      "  [ 1.19296908e-02 -1.90132018e-03 -5.58011308e-02]\n",
      "  [ 6.41593337e-03 -9.78921168e-03 -1.19839199e-02]\n",
      "  [ 1.71593726e-02 -1.01113888e-02 -9.72907059e-03]\n",
      "  [ 1.40478909e-02 -9.62379389e-03 -3.15086171e-02]\n",
      "  [ 1.57338381e-02 -1.91753395e-02  2.39730962e-02]\n",
      "  [ 1.79783404e-02 -1.06891422e-02 -6.00239187e-02]\n",
      "  [ 5.05039096e-03 -1.08626001e-02 -5.80656826e-02]\n",
      "  [ 1.01353228e-02 -1.45420898e-02 -7.56639987e-02]\n",
      "  [ 1.92123950e-02 -1.12844566e-02 -3.02122794e-02]\n",
      "  [ 1.88535452e-02 -1.85680073e-02 -1.23896096e-02]\n",
      "  [ 2.24799514e-02 -1.83782801e-02 -4.31531146e-02]\n",
      "  [ 1.21220648e-02 -1.21680954e-02 -9.03532952e-02]\n",
      "  [ 1.11047924e-02 -1.51233263e-02 -4.05764468e-02]\n",
      "  [ 4.41682339e-03 -9.62081924e-03 -9.66252014e-03]\n",
      "  [ 1.30733550e-02 -1.41484030e-02 -5.46648949e-02]\n",
      "  [ 1.05904341e-02 -1.51704578e-02  2.02804245e-02]\n",
      "  [-8.57800245e-04 -7.15091452e-03 -2.12904345e-02]\n",
      "  [ 3.91909480e-03 -1.05820466e-02 -6.01294190e-02]]\n",
      "\n",
      " [[-1.15063787e-03 -7.21941516e-03 -4.77712527e-02]\n",
      "  [ 1.92125738e-02 -2.63260305e-03 -9.72232223e-03]\n",
      "  [-2.17121840e-03 -3.83541733e-03 -2.73254514e-02]\n",
      "  [ 3.76799703e-03 -6.79530203e-04 -1.88281573e-02]\n",
      "  [ 1.30033493e-03 -5.32709435e-03  1.50681958e-02]\n",
      "  [ 4.22355533e-03 -1.00667216e-03 -1.13141667e-02]\n",
      "  [-4.01973724e-03 -3.55478749e-03 -2.91724186e-02]\n",
      "  [ 2.55605578e-03 -1.07760681e-02  1.26017779e-02]\n",
      "  [ 5.77747822e-03 -3.49457003e-03 -4.88603264e-02]\n",
      "  [ 9.38498974e-03 -6.68888353e-03 -6.33153096e-02]\n",
      "  [-9.50324535e-03 -5.48164453e-03 -5.32616898e-02]\n",
      "  [ 3.02621722e-03 -5.41053619e-03 -1.16666118e-02]\n",
      "  [ 7.73257017e-03 -1.89640932e-03 -9.00091529e-02]\n",
      "  [-5.87645173e-03 -3.06096859e-03 -3.30742523e-02]\n",
      "  [ 4.82290983e-04 -4.18217387e-03 -3.54364328e-02]\n",
      "  [ 9.19908285e-04 -3.07961367e-03 -2.71948893e-02]\n",
      "  [ 2.59110332e-03 -6.47541694e-03 -4.55829874e-02]\n",
      "  [-3.10978293e-03 -7.20130838e-03  1.82076730e-03]\n",
      "  [ 7.28839636e-03 -2.42592022e-03 -3.77717894e-03]\n",
      "  [-9.62689519e-03 -2.76401453e-03 -1.36590423e-02]]\n",
      "\n",
      " [[ 9.25987959e-03 -3.26864980e-03 -5.43073528e-02]\n",
      "  [ 4.31701541e-03  3.00746411e-03 -3.16628590e-02]\n",
      "  [ 6.27279282e-04  4.89175599e-03  7.20914900e-02]\n",
      "  [ 1.26240253e-02 -2.42349505e-03 -2.29535997e-02]\n",
      "  [-4.78690863e-03  4.82195988e-04  2.84489542e-02]\n",
      "  [ 4.27961349e-05  1.63402408e-03 -2.23098546e-02]\n",
      "  [ 3.26675177e-03 -1.23948045e-03 -3.77958603e-02]\n",
      "  [ 5.19114733e-03 -3.08817253e-03  3.03044915e-02]\n",
      "  [ 4.51555848e-03 -3.40068154e-03  2.22611427e-02]\n",
      "  [ 3.05652618e-04  9.87379998e-03 -4.15636450e-02]\n",
      "  [-5.90741634e-03 -4.87692468e-03  1.95737258e-02]\n",
      "  [-1.34143233e-03  8.64038244e-04  1.81952175e-02]\n",
      "  [-1.37338042e-03  4.83209267e-04  4.15637568e-02]\n",
      "  [-3.65391374e-03 -8.98294151e-04  4.64875922e-02]\n",
      "  [ 7.14266300e-03  2.63441168e-03 -5.54172918e-02]\n",
      "  [-5.12343645e-03  4.10870090e-03 -1.83202196e-02]\n",
      "  [-8.95053148e-03  9.21618193e-04  1.00560766e-03]\n",
      "  [-2.28038430e-03 -1.09191984e-04 -6.25514891e-04]\n",
      "  [-4.81855869e-03 -3.34183685e-03 -5.73899224e-03]\n",
      "  [-1.83922052e-03  5.33679407e-03 -1.42318429e-02]]\n",
      "\n",
      " [[-2.10902095e-03  2.46150419e-03 -2.58621667e-02]\n",
      "  [ 8.01625848e-03  1.77094154e-03 -1.70395188e-02]\n",
      "  [ 1.11525953e-02  7.48803839e-04 -8.16958025e-04]\n",
      "  [ 2.56478786e-04 -1.70545466e-03  3.46994847e-02]\n",
      "  [-5.62220812e-04  5.18653356e-03  1.81704871e-02]\n",
      "  [-1.71992481e-02  1.86468102e-03  2.97608040e-03]\n",
      "  [ 1.82977319e-02 -4.98145446e-03  4.66786921e-02]\n",
      "  [ 1.37600303e-03  8.42437148e-04  9.97797213e-03]\n",
      "  [-4.20948863e-03  4.48729843e-05  2.66386308e-02]\n",
      "  [-1.10569298e-02  2.78100930e-03 -2.01826096e-02]\n",
      "  [-8.67369771e-03  1.59589574e-03  1.07957385e-02]\n",
      "  [-1.21021271e-03 -4.58470359e-03  6.12428691e-03]\n",
      "  [-2.11548805e-03 -1.44257583e-03  5.85508794e-02]\n",
      "  [ 5.41779399e-03  2.26356648e-03  1.35815106e-02]\n",
      "  [-7.55375624e-03  3.86319123e-03  2.29427889e-02]\n",
      "  [-6.76396489e-03 -4.91192378e-03 -4.58982773e-04]\n",
      "  [ 4.13733721e-03  6.69692177e-03 -1.41500961e-02]\n",
      "  [ 1.33607686e-02  3.42765450e-03  7.71517865e-04]\n",
      "  [ 3.03411484e-03  1.75103731e-03  1.22370385e-02]\n",
      "  [-1.27071142e-03  4.57969122e-03  8.69401358e-03]]\n",
      "\n",
      " [[ 3.97464633e-03  4.09966335e-03 -2.53915600e-02]\n",
      "  [-2.28494406e-04  2.82093138e-03 -3.78912091e-02]\n",
      "  [ 1.32359266e-02  2.60637514e-03  1.24520138e-02]\n",
      "  [ 1.32386684e-02  4.22482379e-03  3.69637534e-02]\n",
      "  [ 9.72741842e-03 -1.88149512e-03 -1.85078513e-02]\n",
      "  [ 3.98728251e-03  2.81467568e-03 -2.22297646e-02]\n",
      "  [ 5.53974509e-03 -1.70096382e-03  4.56087291e-02]\n",
      "  [ 1.43275857e-02 -1.00542977e-03 -1.83825344e-02]\n",
      "  [ 3.60578299e-03  6.04291912e-03  1.42264701e-02]\n",
      "  [ 1.43288672e-02  2.33569555e-03 -1.44490991e-02]\n",
      "  [ 3.41737270e-03  7.33239017e-03 -8.49383697e-03]\n",
      "  [ 8.78012180e-03 -2.06299499e-03  2.48362087e-02]\n",
      "  [ 1.40756965e-02 -5.57589065e-03 -5.90125844e-03]\n",
      "  [ 1.31123662e-02 -5.30788861e-03 -3.41617763e-02]\n",
      "  [-3.39010358e-03 -4.97579202e-03 -7.81892613e-03]\n",
      "  [-9.99242067e-04  3.47889960e-04  2.61900201e-03]\n",
      "  [ 1.22420192e-02 -1.08384434e-03 -1.02017447e-03]\n",
      "  [ 8.14118981e-03 -1.89376064e-03 -8.94598663e-04]\n",
      "  [-1.49542093e-03 -4.29545529e-03  3.04967836e-02]\n",
      "  [-1.05196238e-02 -4.40620258e-03 -6.43389672e-03]]\n",
      "\n",
      " [[-4.07287478e-03  2.81107426e-03 -3.38155031e-02]\n",
      "  [-1.32364631e-02  9.24849976e-03  8.06610137e-02]\n",
      "  [-2.79814005e-04  9.29329358e-03  1.00509241e-01]\n",
      "  [-1.26501024e-02  7.88545702e-03  1.00183234e-01]\n",
      "  [-1.22491419e-02  1.61637627e-02  1.33590505e-01]\n",
      "  [-2.03755200e-02  8.70467443e-03  7.07646906e-02]\n",
      "  [-1.37843192e-02  1.18816309e-02  1.71979889e-01]\n",
      "  [-2.02645659e-02  1.28404377e-02  1.29448980e-01]\n",
      "  [-2.78762877e-02  1.03942296e-02  1.05233118e-01]\n",
      "  [-2.15539634e-02  1.70771144e-02  1.12810388e-01]\n",
      "  [-1.31598413e-02  1.20636784e-02  1.68564439e-01]\n",
      "  [-2.49203742e-02  2.11953651e-02  1.67095304e-01]\n",
      "  [-2.24266350e-02  1.35655496e-02  1.26913279e-01]\n",
      "  [-3.61146927e-02  9.90204886e-03  1.14650220e-01]\n",
      "  [-4.16995287e-02  1.54454177e-02  1.16011024e-01]\n",
      "  [-2.76558697e-02  1.41239231e-02  1.88424766e-01]\n",
      "  [-2.28376687e-02  1.55924326e-02  1.57384306e-01]\n",
      "  [-3.13650072e-02  1.78613402e-02  1.45256847e-01]\n",
      "  [-2.10852921e-02  1.67714208e-02  1.34552836e-01]\n",
      "  [-1.36184990e-02  1.79004837e-02  1.46336436e-01]]\n",
      "\n",
      " [[-7.42313266e-03  1.50643848e-02  2.90657282e-02]\n",
      "  [-8.61951709e-03  6.94466522e-03  2.19572186e-02]\n",
      "  [-4.50015068e-03  7.94509798e-03  9.84878540e-02]\n",
      "  [-2.53915787e-05  1.46019896e-02  5.51770478e-02]\n",
      "  [-7.28160143e-04  1.12311458e-02  9.87998545e-02]\n",
      "  [ 2.88957357e-03  9.43781994e-03  4.93065119e-02]\n",
      "  [ 3.95929813e-03  1.66514330e-02 -9.35027003e-03]\n",
      "  [-9.96214151e-03  9.31775942e-03  7.16508329e-02]\n",
      "  [-9.57608223e-03  8.37508682e-03  4.94484156e-02]\n",
      "  [ 3.30093503e-03  9.78918374e-03  3.64788026e-02]\n",
      "  [-6.47455454e-03  9.97716840e-03  7.41967112e-02]\n",
      "  [-1.44183934e-02  8.85627326e-03  6.80780411e-02]\n",
      "  [-7.27793574e-03  1.01503804e-02  9.57462192e-03]\n",
      "  [-9.41655040e-03  1.08163441e-02  3.36725563e-02]\n",
      "  [-1.70029998e-02  1.03092426e-02  2.09720433e-03]\n",
      "  [-1.37566328e-02  3.18137556e-03  2.77818739e-02]\n",
      "  [-1.20803118e-02  8.09041318e-03  4.73725200e-02]\n",
      "  [ 1.09118223e-03  1.19533874e-02  1.10576898e-02]\n",
      "  [-4.78684902e-03  9.57259536e-03  2.30105072e-02]\n",
      "  [-9.82162356e-03  5.80706820e-03  4.50249314e-02]]\n",
      "\n",
      " [[ 1.53154135e-03  1.89030264e-02  1.32647932e-01]\n",
      "  [-9.58120823e-03  2.54120175e-02  1.59782737e-01]\n",
      "  [-1.34218335e-02  2.32083537e-02  1.45708337e-01]\n",
      "  [-2.63470411e-03  1.94658525e-02  1.52423993e-01]\n",
      "  [-1.68348551e-02  1.99588519e-02  1.45030096e-01]\n",
      "  [-1.76665485e-02  1.17250364e-02  1.71018422e-01]\n",
      "  [-1.55068934e-02  1.29036531e-02  1.45988345e-01]\n",
      "  [-2.19020247e-02  1.24176797e-02  1.46251976e-01]\n",
      "  [-1.78241134e-02  1.06579401e-02  1.82543993e-01]\n",
      "  [-1.82416439e-02  8.22812878e-03  1.20311134e-01]\n",
      "  [-2.72681415e-02  9.66836140e-03  1.45858362e-01]\n",
      "  [-1.50986314e-02  9.22170468e-03  9.44806561e-02]\n",
      "  [-2.43468583e-02  6.87689520e-03  1.39062971e-01]\n",
      "  [-3.06294858e-02  8.46668333e-03  1.60238594e-01]\n",
      "  [-2.83796191e-02  1.95434317e-04  1.30165786e-01]\n",
      "  [-3.52053642e-02  1.42023154e-03  1.62472844e-01]\n",
      "  [-3.93849909e-02 -6.98877499e-04  1.66845784e-01]\n",
      "  [-3.59091163e-02 -1.53515488e-04  2.12554261e-01]\n",
      "  [-3.18724513e-02 -9.39493999e-03  2.09661677e-01]\n",
      "  [-4.34726924e-02 -7.86107965e-03  1.72188491e-01]]\n",
      "\n",
      " [[-2.38026083e-02  7.44246691e-03  1.22123487e-01]\n",
      "  [-1.31980777e-02  1.59670562e-02  1.50993839e-01]\n",
      "  [-1.50404572e-02  1.24937091e-02  1.42366022e-01]\n",
      "  [-1.38067603e-02  9.83675197e-03  1.63675606e-01]\n",
      "  [-1.46131217e-02  1.50731392e-02  9.80387181e-02]\n",
      "  [-6.23118877e-03  6.00246154e-03  1.78775460e-01]\n",
      "  [-2.76290476e-02  9.33520868e-03  1.55608952e-01]\n",
      "  [-1.08094513e-02  9.84744914e-03  1.43401682e-01]\n",
      "  [-2.77249813e-02  6.22527301e-03  1.45995706e-01]\n",
      "  [-2.64880657e-02  6.16375171e-03  1.62643224e-01]\n",
      "  [-1.59268975e-02  7.78196566e-03  1.20057307e-01]\n",
      "  [-3.18592787e-02  6.59167580e-03  1.07612453e-01]\n",
      "  [-3.14488411e-02  7.97019340e-03  2.41143018e-01]\n",
      "  [-2.51412690e-02  3.44170816e-03  1.31556630e-01]\n",
      "  [-3.39050293e-02 -1.43062137e-03  1.96314663e-01]\n",
      "  [-1.99251473e-02  3.62198986e-03  1.55768409e-01]\n",
      "  [-2.41326690e-02 -8.62928852e-03  1.34602964e-01]\n",
      "  [-3.05898190e-02 -3.58458608e-04  1.46517485e-01]\n",
      "  [-3.64499688e-02 -3.31411138e-03  1.77982226e-01]\n",
      "  [-2.75224745e-02 -9.09207761e-03  1.78454921e-01]]\n",
      "\n",
      " [[-2.08063424e-02  1.07982624e-02  9.52690393e-02]\n",
      "  [-1.84904039e-02  1.84239894e-02  1.01793833e-01]\n",
      "  [-1.97271109e-02  1.05104316e-02  1.33745566e-01]\n",
      "  [-1.55266523e-02  3.98453511e-03  1.31843835e-01]\n",
      "  [-1.45199001e-02  1.38857793e-02  1.10648923e-01]\n",
      "  [-2.09988654e-02  6.99349865e-03  1.63427994e-01]\n",
      "  [-2.30969191e-02  6.08129241e-03  1.29112139e-01]\n",
      "  [-2.55237222e-02  1.03789456e-02  1.63979590e-01]\n",
      "  [-1.53675377e-02  6.94771111e-03  1.20113239e-01]\n",
      "  [-3.21409404e-02  4.48509678e-03  1.71280831e-01]\n",
      "  [-2.46431828e-02  5.73379733e-03  1.44406468e-01]\n",
      "  [-3.05832922e-02  4.10524197e-03  1.60696685e-01]\n",
      "  [-2.61037648e-02  3.96342762e-03  1.60480529e-01]\n",
      "  [-3.20208371e-02  1.10604037e-02  1.18139490e-01]\n",
      "  [-2.67108083e-02  3.42733786e-03  1.19658791e-01]\n",
      "  [-2.95183659e-02  9.65848565e-04  1.44307017e-01]\n",
      "  [-3.74835134e-02  1.38427503e-03  1.44839883e-01]\n",
      "  [-3.40422690e-02 -2.32583098e-03  1.30396247e-01]\n",
      "  [-2.38148272e-02  3.77705507e-03  1.81539729e-01]\n",
      "  [-2.44538784e-02 -1.74914859e-03  2.06630498e-01]]\n",
      "\n",
      " [[-1.24972761e-02  1.08831339e-02  1.52638629e-01]\n",
      "  [-1.38350427e-02  1.30681247e-02  8.56032893e-02]\n",
      "  [-2.70282626e-02  3.13168764e-03  1.48184180e-01]\n",
      "  [-1.55801475e-02  3.25552188e-03  1.30914181e-01]\n",
      "  [-2.19695270e-02  6.07197918e-03  1.76702663e-01]\n",
      "  [-1.37987733e-03  5.32801636e-03  1.36735618e-01]\n",
      "  [-1.17771327e-02  6.61570020e-03  1.92941040e-01]\n",
      "  [-1.55221820e-02  3.39786708e-03  1.72980443e-01]\n",
      "  [-2.91376710e-02  4.29896079e-03  1.66816145e-01]\n",
      "  [-3.06714475e-02  7.44931772e-03  1.85386136e-01]\n",
      "  [-1.77704692e-02  5.14552370e-03  1.34274840e-01]\n",
      "  [-2.71872878e-02  3.73821147e-03  1.36422843e-01]\n",
      "  [-3.13904583e-02  2.10115127e-03  1.38976321e-01]\n",
      "  [-3.00494432e-02  3.71434167e-03  1.78138375e-01]\n",
      "  [-2.87294090e-02  5.43192960e-03  1.36729941e-01]\n",
      "  [-3.57028246e-02 -3.13381664e-03  1.54656619e-01]\n",
      "  [-4.18231785e-02 -3.42265330e-03  1.72712058e-01]\n",
      "  [-3.00167203e-02 -1.19053014e-03  1.54121697e-01]\n",
      "  [-3.95653546e-02 -4.00592387e-03  1.60072893e-01]\n",
      "  [-3.27130854e-02 -8.74551479e-03  1.70418471e-01]]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-6.10920787e-03 -3.30839306e-04  6.26386702e-03]\n",
      "  [-4.88883257e-03 -1.09598413e-03  1.90348253e-02]\n",
      "  [-6.66564703e-03 -9.33844596e-04  7.57333636e-03]\n",
      "  [-4.74315882e-03  1.53180212e-04  1.77983642e-02]\n",
      "  [-2.58386135e-04 -1.42603740e-03  2.60975212e-03]\n",
      "  [-7.62686133e-03 -1.59625709e-03  1.33524016e-02]\n",
      "  [-1.33365393e-03 -3.88151780e-03  2.56681517e-02]\n",
      "  [-5.32254577e-03 -2.83457711e-03  5.28946519e-03]\n",
      "  [-7.05018640e-03 -2.22613662e-03  1.55717731e-02]\n",
      "  [-8.68082047e-03 -5.27732074e-03  1.99844241e-02]\n",
      "  [-4.20859456e-03 -2.60992721e-03  1.47146285e-02]\n",
      "  [-4.87494469e-03 -1.24233589e-03  6.20381534e-03]\n",
      "  [-4.05263901e-03 -4.98447567e-03  1.02346539e-02]\n",
      "  [-1.05303228e-02 -8.15346837e-04  1.22539625e-02]\n",
      "  [-7.95429945e-03 -3.94900143e-03  1.13322437e-02]\n",
      "  [-7.26374984e-03 -4.37796488e-03  7.57807493e-03]\n",
      "  [-6.39143586e-03 -4.48179245e-03  2.92871408e-02]\n",
      "  [-4.97308373e-03 -2.65118107e-03  2.26131491e-02]\n",
      "  [-2.22566724e-03 -3.59253213e-03  1.91616826e-02]\n",
      "  [-9.15294886e-03 -3.08408588e-03  2.81791016e-02]]\n",
      "\n",
      " [[-1.94302201e-03  3.47748399e-04  1.98002160e-03]\n",
      "  [-9.15318727e-04 -5.82370907e-04  2.40597129e-03]\n",
      "  [-1.35031343e-03 -9.34079289e-05 -2.81589851e-03]\n",
      "  [-5.01036644e-04  9.17725265e-05  2.19328329e-03]\n",
      "  [ 1.16577744e-03 -2.70046294e-05 -2.02785060e-03]\n",
      "  [ 3.25083733e-04  2.87085772e-04  1.59413740e-03]\n",
      "  [ 2.61783600e-04 -9.78924334e-04  8.79653171e-03]\n",
      "  [-3.15129757e-04 -7.03237951e-04 -2.60544568e-03]\n",
      "  [-1.03613734e-03  9.77199525e-05  1.53535232e-03]\n",
      "  [-1.82899833e-03 -1.11238286e-03  3.66138667e-03]\n",
      "  [ 6.58392906e-04 -1.83159485e-04  2.98379362e-03]\n",
      "  [-1.16842985e-03 -2.04646960e-04 -4.16443869e-03]\n",
      "  [ 6.22540712e-04 -1.20311230e-03 -4.20096889e-03]\n",
      "  [-2.23505497e-03 -4.58639115e-05  1.39170140e-03]\n",
      "  [-7.42077827e-04 -6.92464411e-04  3.37106735e-03]\n",
      "  [-4.81158495e-04 -1.11219846e-03 -1.58825517e-03]\n",
      "  [ 4.59343195e-04 -9.06003639e-04  7.87032209e-03]\n",
      "  [ 2.74032354e-04 -2.72246078e-04  7.85942376e-03]\n",
      "  [ 1.02984905e-03 -4.42033634e-04  2.08504871e-03]\n",
      "  [-1.28236413e-03 -6.27787784e-04  9.53036174e-03]]\n",
      "\n",
      " [[-7.36653805e-04  1.21559016e-03  6.32011145e-03]\n",
      "  [-1.77907944e-03  7.11679459e-04  3.34677100e-03]\n",
      "  [ 1.43617392e-04  1.15850195e-03  3.58000398e-03]\n",
      "  [-4.60058451e-04  1.77605171e-03 -2.92469561e-03]\n",
      "  [ 7.98702240e-05  1.63035560e-03 -1.27195939e-03]\n",
      "  [ 2.11372972e-03  1.30660459e-03  3.68192792e-04]\n",
      "  [ 1.83820724e-03  1.83707988e-03  9.34004784e-04]\n",
      "  [ 1.12989545e-03  1.30171003e-03  5.99857420e-04]\n",
      "  [ 5.10007143e-04  9.33418982e-04  4.99502569e-03]\n",
      "  [-5.99950552e-04  1.88897364e-03  3.12687829e-03]\n",
      "  [-4.35590744e-04  1.14788534e-03  4.85837460e-03]\n",
      "  [-1.09446049e-03  1.75957987e-03 -3.51898372e-03]\n",
      "  [ 1.04516745e-04  5.78542240e-04  8.78495350e-03]\n",
      "  [-4.15444374e-04  7.00126402e-04  5.59042394e-03]\n",
      "  [-3.19719315e-04  7.78337475e-04  7.28334114e-03]\n",
      "  [-4.66912985e-04  2.69680284e-04 -4.68685851e-03]\n",
      "  [ 3.39210033e-04  4.97000292e-04  4.63729352e-03]\n",
      "  [ 3.22371721e-04  1.06072892e-03  6.57104328e-03]\n",
      "  [ 4.99725342e-04  2.09042802e-04  7.00019300e-05]\n",
      "  [ 1.38020515e-03  5.49199991e-04  6.68665022e-03]]\n",
      "\n",
      " [[ 9.32919979e-03  5.34782559e-03  1.97354704e-03]\n",
      "  [ 1.53256357e-02 -2.02253647e-03 -1.30911637e-02]\n",
      "  [ 1.17749274e-02 -4.42739017e-03 -2.56933551e-02]\n",
      "  [ 1.46104097e-02 -6.99679274e-03 -2.45473720e-02]\n",
      "  [ 1.37913525e-02 -7.40150549e-03 -1.90729555e-02]\n",
      "  [ 1.42581165e-02 -8.81939009e-03 -2.41129920e-02]\n",
      "  [ 1.28951967e-02 -1.27571654e-02 -2.00144611e-02]\n",
      "  [ 9.61494446e-03 -9.39318445e-03 -3.67707238e-02]\n",
      "  [ 1.40511990e-02 -1.22246509e-02 -3.67925912e-02]\n",
      "  [ 1.35189593e-02 -1.51716862e-02 -3.92683521e-02]\n",
      "  [ 1.56653523e-02 -1.30118206e-02 -3.21444198e-02]\n",
      "  [ 1.45631433e-02 -1.42172957e-02 -2.76754163e-02]\n",
      "  [ 1.15234554e-02 -1.43754249e-02 -4.17206734e-02]\n",
      "  [ 1.04883313e-02 -1.29982671e-02 -4.56480011e-02]\n",
      "  [ 9.78985429e-03 -1.23182004e-02 -3.68088707e-02]\n",
      "  [ 9.22775269e-03 -1.03095407e-02 -2.67790332e-02]\n",
      "  [ 8.67155194e-03 -1.14400806e-02 -2.94326320e-02]\n",
      "  [ 8.65030289e-03 -1.12231066e-02 -1.82160158e-02]\n",
      "  [ 6.15450740e-03 -9.36880335e-03 -2.93019749e-02]\n",
      "  [ 5.48914075e-03 -9.88115184e-03 -3.52683999e-02]]\n",
      "\n",
      " [[ 4.54840064e-03 -8.30260478e-03 -1.84336640e-02]\n",
      "  [ 1.00356340e-03 -2.46302038e-03 -2.07398087e-04]\n",
      "  [-1.95360184e-03 -2.12124921e-03 -2.72145495e-04]\n",
      "  [-9.24915075e-04 -1.69302523e-03 -2.05413811e-03]\n",
      "  [-2.16788054e-03 -2.21805461e-03  3.11152823e-03]\n",
      "  [ 7.82251358e-04 -1.04628690e-03  3.23409494e-03]\n",
      "  [-1.80387497e-03 -6.99991360e-04  2.18556635e-03]\n",
      "  [-4.45246696e-04  4.25279140e-05  1.00085158e-02]\n",
      "  [-1.47518516e-03 -2.87661329e-04 -6.55511394e-03]\n",
      "  [-2.71233916e-03  1.04703009e-04 -2.54450366e-03]\n",
      "  [-1.63251162e-03  1.45723112e-03  5.86858951e-04]\n",
      "  [-2.08264589e-03  1.43335201e-03 -7.59699661e-03]\n",
      "  [-2.23860145e-03  1.01514161e-03 -7.16488576e-03]\n",
      "  [-1.01771951e-03  1.16581656e-03 -6.26613107e-03]\n",
      "  [-1.04841590e-03  6.49448484e-04 -5.81925223e-03]\n",
      "  [-1.13981962e-03 -9.77089629e-04 -1.17713641e-02]\n",
      "  [-1.58494711e-03  2.41898000e-04 -1.58870406e-02]\n",
      "  [ 8.98599625e-04 -6.12752512e-04 -2.81596137e-03]\n",
      "  [-1.40491128e-03  1.00648776e-03 -7.30549265e-03]\n",
      "  [ 1.13335252e-03  9.85980034e-04 -1.09505616e-02]]\n",
      "\n",
      " [[-4.45783138e-04  1.18779950e-03 -9.23607126e-03]\n",
      "  [ 7.87228346e-04  1.84249133e-03 -5.34376130e-03]\n",
      "  [ 8.91089439e-05  1.65984966e-03  1.10082291e-02]\n",
      "  [ 9.26584005e-04  1.18183158e-03 -6.49856403e-04]\n",
      "  [ 7.96020031e-04  1.27039850e-03  6.11722656e-03]\n",
      "  [ 3.24606895e-04  1.22909807e-03  1.26115046e-03]\n",
      "  [-7.65025616e-05  9.62449238e-04  1.83788873e-03]\n",
      "  [ 4.36955690e-03 -7.92624429e-04 -9.20911320e-04]\n",
      "  [ 1.20946765e-03  6.96996227e-04  1.70474779e-03]\n",
      "  [-1.29544735e-03  1.45223178e-03  4.63895779e-03]\n",
      "  [-7.28905201e-04  8.53011385e-04  8.71764589e-03]\n",
      "  [-2.64924765e-03 -2.19101086e-04  6.10686559e-03]\n",
      "  [-1.51842833e-04  1.06971338e-03  1.37306564e-03]\n",
      "  [ 4.30673361e-04  1.41597353e-03  8.19377881e-03]\n",
      "  [-7.38799572e-05  1.00796856e-03 -4.43101954e-03]\n",
      "  [-1.17450953e-03  6.84360042e-04 -3.55815957e-03]\n",
      "  [-2.21359730e-03  1.49620883e-03  6.15744852e-04]\n",
      "  [ 7.25984573e-05  9.85942781e-04  4.68830159e-03]\n",
      "  [-1.23435259e-03  1.46615878e-03 -2.24086689e-03]\n",
      "  [-2.39896774e-03  1.95989758e-03  1.09683024e-03]]\n",
      "\n",
      " [[-1.79034472e-03  2.95957923e-03  1.25858665e-03]\n",
      "  [ 1.41754746e-03  2.36954726e-03 -6.06762432e-03]\n",
      "  [-1.06641650e-03  2.44037621e-03  8.99391249e-03]\n",
      "  [ 1.69980526e-03  2.19229236e-03 -7.74548203e-03]\n",
      "  [ 1.15200877e-03  1.85492635e-03  7.06298277e-03]\n",
      "  [-6.21974468e-04  1.87193416e-03  2.60125846e-04]\n",
      "  [-4.55975533e-04  1.71034969e-03 -7.24229217e-03]\n",
      "  [ 2.73263454e-03 -6.79954886e-04  2.00204365e-03]\n",
      "  [ 2.23159790e-03  7.08475709e-04 -2.85563245e-03]\n",
      "  [-3.07083130e-03  1.58467703e-03  4.39382903e-03]\n",
      "  [-1.77362561e-03  4.41832468e-04  1.05136279e-02]\n",
      "  [-2.80109048e-03  3.58028337e-04  5.09526953e-03]\n",
      "  [-4.65452671e-04  1.63897686e-03 -4.87317145e-03]\n",
      "  [-5.01275063e-04  2.40513310e-03  5.68975508e-03]\n",
      "  [ 8.71926546e-04  1.82102807e-03 -5.53173758e-03]\n",
      "  [-2.39908695e-04  1.74526870e-03 -2.40500923e-03]\n",
      "  [-3.20059061e-03  2.07972713e-03  7.56206643e-03]\n",
      "  [-1.47518516e-03  1.84126571e-03  6.55409880e-03]\n",
      "  [-3.45408916e-04  1.60501339e-03 -6.54645264e-04]\n",
      "  [-4.63008881e-04  2.77679972e-03  3.95775679e-03]]\n",
      "\n",
      " [[ 1.23566389e-03 -2.06450280e-03 -6.87003508e-03]\n",
      "  [-6.24537468e-04  4.43345308e-03  2.41392776e-02]\n",
      "  [-2.05597281e-03  3.35571449e-03  3.07791680e-02]\n",
      "  [-2.50133872e-03  2.55488697e-03  7.87607580e-03]\n",
      "  [-4.88120317e-03  3.61423753e-03  2.63120532e-02]\n",
      "  [-1.87188387e-04  3.33247427e-03  2.85134092e-02]\n",
      "  [-9.53286886e-04  1.89772900e-03  2.02000700e-02]\n",
      "  [ 8.31574202e-04  1.40162092e-03  4.49648052e-02]\n",
      "  [-3.68058681e-05  1.78139005e-03  2.53163949e-02]\n",
      "  [-6.29848242e-03  6.31701574e-03  3.33870202e-02]\n",
      "  [-5.40959835e-03  2.61853356e-03  4.38190773e-02]\n",
      "  [-9.66650248e-03  5.34965843e-03  4.90290970e-02]\n",
      "  [-3.88571620e-03  4.72506881e-03  4.53506857e-02]\n",
      "  [-8.35615396e-03  6.10015728e-03  5.53337410e-02]\n",
      "  [-6.24117255e-03  4.92732413e-03  4.11766358e-02]\n",
      "  [-7.42956996e-03  6.09127805e-03  5.38996719e-02]\n",
      "  [-9.73013043e-03  6.21242356e-03  6.44081905e-02]\n",
      "  [-9.00682807e-03  5.63544128e-03  6.72513768e-02]\n",
      "  [-6.85834885e-03  5.41816838e-03  7.03712106e-02]\n",
      "  [-5.37443161e-03  7.55506568e-03  6.92123175e-02]]\n",
      "\n",
      " [[ 1.36263072e-02 -5.51864505e-04 -4.74976152e-02]\n",
      "  [ 5.38349152e-03  4.51789610e-03  8.26105475e-04]\n",
      "  [ 8.14545155e-03  3.53596034e-03  2.02480108e-02]\n",
      "  [ 5.51083684e-03  5.74732944e-03  9.67249274e-03]\n",
      "  [ 7.43469596e-03  4.98991460e-03  5.04085422e-03]\n",
      "  [ 7.14302063e-03  8.56774766e-03  1.14131272e-02]\n",
      "  [ 3.91063094e-03  7.28363404e-03  1.94561481e-02]\n",
      "  [ 5.27402759e-03  6.73313113e-03  1.58065408e-02]\n",
      "  [ 3.86402011e-03  9.68717597e-03  7.33317435e-03]\n",
      "  [ 1.11487508e-03  8.97783507e-03  3.96974683e-02]\n",
      "  [ 2.01734900e-03  9.86542180e-03  2.42329985e-02]\n",
      "  [-8.46114755e-03  9.36857332e-03  4.91725653e-02]\n",
      "  [ 3.90481949e-03  1.03880307e-02  2.85225958e-02]\n",
      "  [-2.92962790e-03  1.20982304e-02  3.84837687e-02]\n",
      "  [-1.27792358e-03  1.32772271e-02  5.37781715e-02]\n",
      "  [ 1.87814236e-03  1.31512210e-02  3.53627652e-02]\n",
      "  [ 1.85880065e-03  1.34666460e-02  5.13886660e-02]\n",
      "  [ 5.18351793e-04  1.38332434e-02  2.70817280e-02]\n",
      "  [ 6.39960170e-03  1.51564945e-02  2.07557678e-02]\n",
      "  [ 2.84564495e-03  1.53816622e-02  6.17509335e-02]]\n",
      "\n",
      " [[-2.01961398e-02  4.88680042e-03  6.63708299e-02]\n",
      "  [-7.92792439e-03  4.76305094e-03  2.69936323e-02]\n",
      "  [-6.82371855e-03  3.37399589e-03  3.81717831e-02]\n",
      "  [-6.70129061e-03  4.40646149e-03  2.01143175e-02]\n",
      "  [-3.00970674e-03  2.20477069e-03  8.00569355e-03]\n",
      "  [-3.20053101e-03  5.44355344e-03  2.48686820e-02]\n",
      "  [-5.12668490e-03  3.13402619e-03  2.80508250e-02]\n",
      "  [-2.06011534e-03  3.18236789e-03  1.51157379e-02]\n",
      "  [-1.67861581e-03  4.84365830e-03  1.46974921e-02]\n",
      "  [-2.73451209e-03  2.68118456e-03  2.96510160e-02]\n",
      "  [-1.92961097e-03  4.21201531e-03  4.10100818e-03]\n",
      "  [-6.36094809e-03  1.64557248e-03  1.99560821e-02]\n",
      "  [ 2.74249911e-03  2.64639454e-03  1.10919923e-02]\n",
      "  [-1.92779303e-03  4.77536349e-03  1.56243294e-02]\n",
      "  [-5.62489033e-04  3.41306720e-03  3.09066325e-02]\n",
      "  [ 5.51730394e-04  4.74067405e-03  9.48624313e-03]\n",
      "  [-2.60561705e-04  3.23759206e-03  1.95542872e-02]\n",
      "  [-1.85701251e-03  2.68694386e-03  6.53755665e-03]\n",
      "  [ 2.04184651e-03  1.73104648e-03  5.91665506e-03]\n",
      "  [-3.01840901e-03  3.04748863e-03  2.71648318e-02]]\n",
      "\n",
      " [[-1.50721371e-02  7.20664859e-04  2.53188759e-02]\n",
      "  [-1.16117299e-02  5.66581264e-04  1.31835938e-02]\n",
      "  [-7.00545311e-03 -1.17338262e-03  2.90812850e-02]\n",
      "  [-7.03492761e-03  5.80477528e-04  1.65355653e-02]\n",
      "  [-5.54028153e-03 -1.35202985e-03  9.96455550e-03]\n",
      "  [-5.62235713e-03  1.21600647e-03  1.32194310e-02]\n",
      "  [-6.46060705e-03 -1.57802366e-03  1.15556419e-02]\n",
      "  [-5.81580400e-03 -2.30687112e-03  1.15655065e-02]\n",
      "  [-3.90020013e-03 -3.39541584e-05  9.14230943e-04]\n",
      "  [-5.28377295e-03 -2.04207748e-03  2.05072016e-02]\n",
      "  [-3.57750058e-03 -2.09461711e-03  4.14757431e-03]\n",
      "  [-1.11199915e-02 -3.03756259e-03  2.47084200e-02]\n",
      "  [ 3.18914652e-04 -2.44555622e-03  1.66021287e-03]\n",
      "  [-5.90422750e-03 -1.63231976e-03  7.27558136e-03]\n",
      "  [-4.43035364e-03 -1.41490065e-03  2.23444700e-02]\n",
      "  [-2.43702531e-03 -1.83631480e-03  8.89576972e-03]\n",
      "  [-1.70257688e-03 -1.90590695e-03  2.36342251e-02]\n",
      "  [-3.53491306e-03 -2.73830630e-03  4.19425964e-03]\n",
      "  [-1.87158585e-05 -1.84044801e-03 -6.34491444e-05]\n",
      "  [-3.03494930e-03 -1.68317743e-03  3.71977240e-02]]\n",
      "\n",
      " [[-7.63145089e-03 -8.52186047e-03  7.84136355e-03]\n",
      "  [-7.69680738e-03 -5.94482198e-03  5.13605773e-03]\n",
      "  [-5.49307466e-03 -6.50103204e-03  3.83296609e-03]\n",
      "  [-6.03821874e-03 -6.47093169e-03 -2.23000348e-03]\n",
      "  [-6.14461303e-03 -5.38741518e-03  1.14320666e-02]\n",
      "  [-5.05164266e-03 -5.50951902e-03 -2.42032111e-03]\n",
      "  [-2.31042504e-03 -4.59679402e-03 -4.56809998e-03]\n",
      "  [-7.16048479e-03 -4.10108082e-03  7.34780729e-03]\n",
      "  [-4.46420908e-03 -4.14063968e-03  4.04280424e-03]\n",
      "  [-4.97236848e-03 -2.50899047e-03 -2.59508193e-03]\n",
      "  [-5.17827272e-03 -4.31998074e-03 -2.51054764e-04]\n",
      "  [-4.80735302e-03 -1.65251084e-03  7.55803287e-03]\n",
      "  [-3.37389112e-03 -2.66544707e-03 -2.43201852e-04]\n",
      "  [-6.89330697e-03 -3.81814316e-04  8.49321485e-03]\n",
      "  [-4.16949391e-03 -2.14446336e-05  2.36584246e-03]\n",
      "  [-5.23501635e-03 -1.17599778e-03 -9.73209739e-04]\n",
      "  [-4.35444713e-03 -5.62718138e-04  3.80964577e-03]\n",
      "  [-3.53696942e-03 -1.00128911e-03  5.35106659e-03]\n",
      "  [-4.55886126e-04  4.42564487e-05  1.05790794e-03]\n",
      "  [ 7.41660595e-04  1.30211003e-03  1.35571659e-02]]\n",
      "\n",
      " [[-5.85633516e-03 -5.29270433e-03  5.72456419e-03]\n",
      "  [-6.41423464e-03 -7.82882050e-03 -2.31720507e-03]\n",
      "  [-4.75800037e-03 -7.91264232e-03 -3.96323204e-03]\n",
      "  [-5.21481037e-03 -7.43833091e-03 -7.46023655e-03]\n",
      "  [-5.23367524e-03 -5.99931367e-03  6.06717169e-03]\n",
      "  [-5.30299544e-03 -5.77592757e-03 -7.38438964e-03]\n",
      "  [-1.76802278e-03 -4.29694261e-03 -5.34158945e-03]\n",
      "  [-6.16204739e-03 -3.72730941e-03  2.25254893e-03]\n",
      "  [-3.89024615e-03 -3.59470770e-03  2.71113217e-03]\n",
      "  [-4.67526913e-03 -1.48502178e-03 -5.15365601e-03]\n",
      "  [-4.39479947e-03 -3.25609185e-03 -1.54952705e-03]\n",
      "  [-3.54540348e-03 -3.72892246e-04  7.07475841e-03]\n",
      "  [-2.82698870e-03 -1.06929615e-03 -3.21514904e-03]\n",
      "  [-6.24182820e-03  1.20997056e-03  8.69622827e-03]\n",
      "  [-3.60596180e-03  2.21453421e-03  3.82208824e-03]\n",
      "  [-5.16554713e-03  1.14829838e-03  3.09526920e-04]\n",
      "  [-2.74062157e-03  2.11918540e-03  1.83892250e-03]\n",
      "  [-2.39333510e-03  1.60215609e-03  3.64860892e-03]\n",
      "  [ 5.37037849e-04  2.77438201e-03  8.83936882e-05]\n",
      "  [ 1.66621804e-03  4.18913737e-03  9.20215249e-03]]\n",
      "\n",
      " [[-5.29026985e-03 -3.03244963e-03  7.09266961e-03]\n",
      "  [-6.39292598e-03 -8.20789114e-03 -4.03003395e-03]\n",
      "  [-4.57543135e-03 -8.26954003e-03 -5.15188277e-03]\n",
      "  [-4.97886539e-03 -7.70903379e-03 -8.51044059e-03]\n",
      "  [-4.92015481e-03 -5.91594540e-03  1.95293128e-03]\n",
      "  [-5.81282377e-03 -5.81317488e-03 -7.56375492e-03]\n",
      "  [-1.48969889e-03 -4.17369045e-03 -5.40775061e-03]\n",
      "  [-6.22382760e-03 -3.66654433e-03  9.50857997e-04]\n",
      "  [-3.60348821e-03 -3.71222943e-03  3.39891016e-03]\n",
      "  [-4.68638539e-03 -1.47636235e-03 -5.13859093e-03]\n",
      "  [-4.48432565e-03 -2.93242000e-03 -1.80199742e-03]\n",
      "  [-3.40914726e-03 -2.12743878e-04  3.91657650e-03]\n",
      "  [-2.88829207e-03 -8.87129456e-04 -4.44088876e-03]\n",
      "  [-5.58304787e-03  1.33464858e-03  9.33629274e-03]\n",
      "  [-3.55917215e-03  2.47103348e-03  3.68182361e-03]\n",
      "  [-5.12605906e-03  1.35209039e-03  6.76676631e-04]\n",
      "  [-2.08237767e-03  2.46635638e-03  2.27184594e-03]\n",
      "  [-2.24596262e-03  2.03468837e-03  3.00005078e-03]\n",
      "  [ 8.26120377e-04  2.91806273e-03  1.60163641e-03]\n",
      "  [ 1.27363205e-03  4.24484164e-03  7.68859684e-03]]]\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-2.72479057e-02  1.76485628e-04 -2.95040458e-02]\n",
      "  [-3.17580998e-03 -2.67754495e-03  1.33295953e-02]\n",
      "  [-2.35255063e-02 -1.78945810e-03 -5.09276763e-02]\n",
      "  [-9.05768573e-03  5.97503036e-03  2.59662643e-02]\n",
      "  [ 2.09854543e-02 -2.30023637e-03 -4.73705381e-02]\n",
      "  [-6.61483407e-03  1.77390501e-03  8.92868638e-03]\n",
      "  [ 1.57605410e-02 -1.34560876e-02  8.87316614e-02]\n",
      "  [-2.42412090e-03 -3.76563147e-03 -1.35736987e-02]\n",
      "  [-1.84124708e-02  1.24277920e-03  4.79325429e-02]\n",
      "  [-3.06743383e-02 -1.62468553e-02  8.92372504e-02]\n",
      "  [ 3.02135944e-04 -5.39055839e-03  2.51818746e-02]\n",
      "  [-1.10343248e-02  4.39065695e-03 -2.37122253e-02]\n",
      "  [ 1.39847398e-03 -1.64150707e-02  3.13405767e-02]\n",
      "  [-1.97674632e-02  6.80606067e-03 -4.17454541e-03]\n",
      "  [-1.60209388e-02 -1.00705139e-02  1.88960359e-02]\n",
      "  [-1.77952647e-02 -8.13833997e-03 -1.84153467e-02]\n",
      "  [-4.07359004e-03 -1.03477500e-02  1.21217199e-01]\n",
      "  [ 5.46044111e-03  5.11354767e-03  5.72235733e-02]\n",
      "  [ 1.80972815e-02 -9.90465283e-04  5.35621047e-02]\n",
      "  [-2.02953964e-02 -2.78882682e-04  9.32512730e-02]]\n",
      "\n",
      " [[ 8.36849213e-04  1.09163690e-02  2.14445442e-02]\n",
      "  [-5.18265367e-03 -1.37750804e-03  3.95750254e-02]\n",
      "  [-6.45214319e-03  1.87002122e-04  4.10335921e-02]\n",
      "  [-2.48716474e-02 -5.60918450e-03 -5.48926555e-02]\n",
      "  [-1.34165585e-02  6.64096884e-03  8.33266675e-02]\n",
      "  [-7.50482082e-04  4.22080606e-03 -3.92866507e-03]\n",
      "  [-1.19957328e-02  5.62106632e-03  5.45291081e-02]\n",
      "  [-2.13551521e-03 -4.48978320e-03  3.27075534e-02]\n",
      "  [ 1.87871158e-02 -1.45640224e-03 -7.92130530e-02]\n",
      "  [ 3.76468897e-03  9.23834741e-04 -1.11413106e-01]\n",
      "  [ 1.88903511e-02  5.58870472e-03  1.10258125e-02]\n",
      "  [-1.25587285e-02 -1.67014133e-02 -7.24381953e-02]\n",
      "  [ 8.32089782e-03  5.11072576e-03 -5.80291115e-02]\n",
      "  [-2.69485712e-02  3.38759460e-03  8.82078707e-02]\n",
      "  [ 4.57941294e-02  9.63044912e-03  4.71593812e-03]\n",
      "  [ 2.44247913e-03 -1.48027465e-02 -5.88282347e-02]\n",
      "  [ 2.48955190e-02  7.96835870e-03  2.67333165e-02]\n",
      "  [ 5.75476885e-03  7.67170824e-03  4.80704755e-02]\n",
      "  [ 1.51085258e-02  1.07496157e-02 -1.70591056e-01]\n",
      "  [ 2.01275945e-02  4.38151881e-03  1.21950135e-01]]\n",
      "\n",
      " [[ 3.07126641e-02  8.29916447e-04  4.56979722e-02]\n",
      "  [-5.53587079e-03  1.31308902e-02  1.87348843e-01]\n",
      "  [ 2.51080394e-02  9.02459584e-03  8.16015378e-02]\n",
      "  [ 1.10709071e-02 -7.36556016e-04 -2.43583582e-02]\n",
      "  [-2.42221355e-02  1.67160816e-02  2.98959166e-02]\n",
      "  [-3.09031308e-02 -1.35226734e-03 -2.60382053e-02]\n",
      "  [ 1.12020373e-02  1.30977947e-03  2.65175179e-02]\n",
      "  [ 2.95308232e-03  6.73793815e-03 -3.76176797e-02]\n",
      "  [-2.77277529e-02  7.99488742e-04 -1.05263636e-01]\n",
      "  [-7.83300400e-03 -3.31378914e-03 -7.12861717e-02]\n",
      "  [ 2.25782692e-02  4.12799511e-03 -3.80799696e-02]\n",
      "  [ 2.28351355e-02  1.24426419e-02  7.37423375e-02]\n",
      "  [-1.42995417e-02  1.39236497e-03  3.86722907e-02]\n",
      "  [-1.97854638e-02  6.53368933e-03 -4.55467030e-02]\n",
      "  [-4.74905968e-03  2.17505777e-03  4.35488001e-02]\n",
      "  [ 1.44590139e-02  3.02840490e-03  5.74443564e-02]\n",
      "  [ 1.32525861e-02 -8.39803647e-03  2.64669880e-02]\n",
      "  [-1.47585869e-02 -6.15507178e-03  2.08010897e-02]\n",
      "  [-1.92376971e-03  4.40831529e-03  3.67420837e-02]\n",
      "  [-2.52103806e-03  2.01315060e-03  4.92839217e-02]]\n",
      "\n",
      " [[ 1.45989656e-03  4.84599732e-03 -5.08550778e-02]\n",
      "  [ 3.44051123e-02  8.74055456e-03 -4.04681824e-02]\n",
      "  [ 4.51615453e-03  3.23065370e-03 -1.20597489e-01]\n",
      "  [-9.67743993e-03 -1.21044759e-02  9.50471312e-03]\n",
      "  [ 2.32937932e-02 -1.58992745e-02 -1.06005520e-02]\n",
      "  [ 1.76565349e-02 -8.43383651e-03 -4.56715748e-02]\n",
      "  [ 1.55124068e-02 -2.78261844e-02  9.55307782e-02]\n",
      "  [ 3.48095596e-02 -1.01519506e-02 -9.69211161e-02]\n",
      "  [-7.14018941e-03 -2.81909760e-03 -7.89314583e-02]\n",
      "  [ 5.71212173e-03 -9.58908163e-03 -1.21048398e-01]\n",
      "  [ 2.07235813e-02 -4.15184442e-03 -1.83351189e-02]\n",
      "  [ 2.44184434e-02 -2.23540831e-02  1.47694722e-03]\n",
      "  [ 3.89236808e-02 -2.25337539e-02 -6.58977330e-02]\n",
      "  [ 1.74885392e-02 -5.98236825e-03 -1.68261111e-01]\n",
      "  [ 1.47807598e-02 -1.71812661e-02 -6.35545850e-02]\n",
      "  [-4.99418378e-03 -3.75597179e-03  7.19940290e-03]\n",
      "  [ 1.90733373e-02 -1.54629173e-02 -1.02868423e-01]\n",
      "  [ 1.42041147e-02 -1.80546772e-02  8.69730487e-02]\n",
      "  [-1.11148655e-02 -1.90390646e-03 -9.49218497e-03]\n",
      "  [ 1.64505839e-03 -8.99372250e-03 -1.25201613e-01]]\n",
      "\n",
      " [[-2.36316323e-02 -6.76619355e-03 -8.41159374e-02]\n",
      "  [ 2.96685398e-02 -2.55331397e-05 -4.31121364e-02]\n",
      "  [-2.52142251e-02 -9.80783254e-04 -4.95218039e-02]\n",
      "  [-8.71691108e-03  9.48018860e-03 -1.82890948e-02]\n",
      "  [-7.60757923e-03 -4.74546291e-03  6.17065579e-02]\n",
      "  [ 2.75075436e-05  8.63389485e-03  3.84146720e-03]\n",
      "  [-2.14700997e-02  6.16505370e-03 -5.08333892e-02]\n",
      "  [-2.25111842e-03 -1.73660237e-02  7.53537491e-02]\n",
      "  [ 9.09951329e-03  4.82924841e-03 -6.10410869e-02]\n",
      "  [ 1.27173364e-02 -8.34217295e-04 -9.86539051e-02]\n",
      "  [-4.33978140e-02 -2.20955163e-03 -6.62204623e-02]\n",
      "  [-8.17084312e-03 -3.59067321e-03  3.11503559e-03]\n",
      "  [ 1.16237402e-02  6.99275546e-03 -1.86272562e-01]\n",
      "  [-2.18837857e-02  4.38073464e-03 -1.93757974e-02]\n",
      "  [-4.95207310e-03  2.00393610e-03 -5.78051843e-02]\n",
      "  [-9.70253348e-03  2.69459002e-03 -2.96755396e-02]\n",
      "  [-2.47946382e-03 -3.95723619e-03 -6.37036562e-02]\n",
      "  [-1.80346072e-02 -4.30780090e-03  3.02224196e-02]\n",
      "  [ 1.73297226e-02  2.99309939e-03  2.77085155e-02]\n",
      "  [-3.01698744e-02  1.34018436e-03  8.60667042e-03]]\n",
      "\n",
      " [[ 2.00641751e-02 -2.08387431e-03 -1.01902485e-01]\n",
      "  [ 8.47706199e-03  8.53597000e-03 -7.74698108e-02]\n",
      "  [ 1.54533982e-03  1.27244033e-02  1.88206941e-01]\n",
      "  [ 3.53283882e-02 -6.90922700e-03 -6.91893846e-02]\n",
      "  [-1.11131072e-02  3.18218023e-04  5.95056117e-02]\n",
      "  [-2.90334225e-04  2.57682614e-03 -6.25081807e-02]\n",
      "  [ 8.98051262e-03 -4.10168432e-03 -1.17204934e-01]\n",
      "  [ 6.82929158e-03 -7.70948268e-03  5.90602160e-02]\n",
      "  [ 1.57037973e-02 -1.06366388e-02  4.96786088e-02]\n",
      "  [ 6.89858198e-03  2.27790177e-02 -1.13770530e-01]\n",
      "  [-9.85062122e-03 -1.57079622e-02  4.98659946e-02]\n",
      "  [-4.69475985e-04 -5.44028357e-04  3.73825170e-02]\n",
      "  [-6.18994236e-04 -2.25941651e-03  8.63419399e-02]\n",
      "  [-5.81243634e-03 -6.70018978e-03  1.10393196e-01]\n",
      "  [ 2.23312676e-02  3.05496529e-03 -1.56349689e-01]\n",
      "  [-7.50115514e-03  8.24497733e-03 -4.75489236e-02]\n",
      "  [-1.80564821e-02  1.50194392e-04  1.40312742e-02]\n",
      "  [-5.89463115e-03 -3.06248106e-03 -1.97080579e-02]\n",
      "  [-8.29532743e-03 -1.33773126e-02 -2.28377637e-02]\n",
      "  [-1.56906247e-03  1.06061278e-02 -4.19176221e-02]]\n",
      "\n",
      " [[-1.24287605e-03  7.26661645e-04 -7.11797029e-02]\n",
      "  [ 1.95748210e-02  7.13430345e-05 -4.29001302e-02]\n",
      "  [ 2.74184048e-02 -2.46097334e-03 -3.73008102e-03]\n",
      "  [ 8.70734453e-04 -8.98085162e-03  9.14584622e-02]\n",
      "  [-2.24539638e-03  8.62312503e-03  2.62685828e-02]\n",
      "  [-3.78317535e-02  5.25576994e-04  4.34984639e-03]\n",
      "  [ 4.70770597e-02 -1.70246568e-02  1.19311921e-01]\n",
      "  [-1.24749541e-03  2.35515460e-03  9.54392552e-03]\n",
      "  [-8.21882486e-03 -2.92578526e-03  6.64546937e-02]\n",
      "  [-2.13788152e-02  3.68202478e-03 -6.07098937e-02]\n",
      "  [-1.54690146e-02  2.12015398e-03  1.65853798e-02]\n",
      "  [-1.15704536e-03 -1.40552800e-02 -1.82865188e-05]\n",
      "  [-2.13417411e-03 -8.41817074e-03  1.33696854e-01]\n",
      "  [ 1.39245391e-02  7.89424405e-04  4.65673022e-03]\n",
      "  [-1.71325207e-02  5.35250548e-03  4.48360629e-02]\n",
      "  [-1.22157037e-02 -1.60559081e-02 -5.15833450e-03]\n",
      "  [ 1.44977570e-02  1.38777373e-02 -5.59021123e-02]\n",
      "  [ 3.94974947e-02  3.75083461e-03 -2.93498524e-02]\n",
      "  [ 1.00537837e-02  3.65598127e-04  1.95470061e-02]\n",
      "  [ 3.66473198e-03  7.46334717e-03 -7.85464421e-04]]\n",
      "\n",
      " [[ 2.12964416e-03  6.88153971e-03 -5.58766872e-02]\n",
      "  [-1.76509619e-02  3.15432809e-03 -6.29163459e-02]\n",
      "  [ 1.98302865e-02  6.65433519e-03  5.41536584e-02]\n",
      "  [ 1.69248283e-02  1.07492115e-02  1.22781880e-01]\n",
      "  [ 1.69557333e-02 -2.66117044e-03 -1.19662602e-02]\n",
      "  [-2.45931745e-03  8.31637345e-03 -2.74964944e-02]\n",
      "  [-1.29041076e-03  4.00887802e-04  1.50546968e-01]\n",
      "  [ 2.73751915e-02 -6.57990575e-04 -4.03239504e-02]\n",
      "  [-4.80726361e-03  1.97668727e-02  5.64487875e-02]\n",
      "  [ 2.94650495e-02  4.95174900e-03  1.03281699e-02]\n",
      "  [ 9.13780928e-03  2.46331841e-02  2.40461715e-02]\n",
      "  [ 1.57605410e-02 -4.17401642e-03  9.09053907e-02]\n",
      "  [ 2.21994519e-02 -8.74256343e-03  2.91717313e-02]\n",
      "  [ 2.76274681e-02 -1.03763286e-02 -2.64312886e-02]\n",
      "  [-1.30289793e-02 -4.41141613e-03  6.50628656e-02]\n",
      "  [-4.66212630e-03  4.03700769e-03  7.68743828e-02]\n",
      "  [ 3.19552720e-02  2.55384948e-03  7.50692040e-02]\n",
      "  [ 1.42364204e-02  3.03711183e-03  5.38877696e-02]\n",
      "  [-1.41071081e-02 -1.46164559e-03  1.18506379e-01]\n",
      "  [-3.25194001e-02 -5.77846542e-03  7.45158866e-02]]\n",
      "\n",
      " [[-5.57225943e-03  5.97486272e-04 -1.11102983e-01]\n",
      "  [ 1.18135214e-02  1.89431198e-03 -7.05805421e-02]\n",
      "  [ 3.53427827e-02  1.16493739e-03 -7.40168989e-03]\n",
      "  [ 1.17831528e-02 -1.93693954e-03 -7.17893243e-04]\n",
      "  [ 1.48145854e-02  1.43684382e-02  5.90130985e-02]\n",
      "  [-3.19719315e-04  1.23508368e-03 -6.92717955e-02]\n",
      "  [ 1.13836229e-02  6.34682551e-03  1.43117994e-01]\n",
      "  [ 4.41879034e-03  9.08138417e-03  2.37329602e-02]\n",
      "  [-1.17785633e-02  5.27595170e-03 -1.02091879e-02]\n",
      "  [ 6.18326664e-03  1.59958191e-02  6.42447174e-03]\n",
      "  [ 2.01088190e-02  8.61932989e-03  1.31013602e-01]\n",
      "  [ 1.88037753e-03  2.35075690e-02  1.00059181e-01]\n",
      "  [ 8.71390104e-03  7.96464831e-03  2.23446786e-02]\n",
      "  [-1.43942535e-02  9.68500972e-04  3.54859233e-03]\n",
      "  [-3.70443910e-02  1.42141525e-02  1.12017542e-02]\n",
      "  [-3.97968292e-03  9.42499749e-03  1.66752458e-01]\n",
      "  [ 9.71451402e-03  1.31954141e-02  9.19899642e-02]\n",
      "  [-1.42711997e-02  1.84775740e-02  6.55282140e-02]\n",
      "  [ 3.92216444e-03  1.68886669e-02  9.25135612e-02]\n",
      "  [ 2.06157565e-02  1.77492574e-02  9.47473049e-02]]\n",
      "\n",
      " [[-5.25435805e-03  2.06597727e-02 -1.86196268e-02]\n",
      "  [-8.85000825e-03  7.37731345e-04 -4.03038412e-02]\n",
      "  [-5.66145778e-03  1.98861957e-03  1.71204269e-01]\n",
      "  [ 1.30714774e-02  2.05965191e-02  5.72954714e-02]\n",
      "  [ 8.30805302e-03  1.13846343e-02  1.59337938e-01]\n",
      "  [ 1.55797601e-02  8.34123511e-03  5.64308465e-02]\n",
      "  [ 1.47433877e-02  2.66542807e-02 -1.17140383e-01]\n",
      "  [-9.93907452e-03  6.23718277e-03  8.39882791e-02]\n",
      "  [-1.53471977e-02  6.02522306e-03  3.41325402e-02]\n",
      "  [ 1.95719302e-02  7.31308665e-03  3.24526727e-02]\n",
      "  [-1.26051903e-03  9.66723636e-03  1.26327872e-01]\n",
      "  [-2.27466822e-02  6.82593975e-03  9.03615057e-02]\n",
      "  [-9.21848416e-03  1.05485022e-02 -5.20181954e-02]\n",
      "  [-4.11894917e-03  1.07685560e-02  1.62399113e-02]\n",
      "  [-2.85028070e-02  1.07697388e-02 -6.60949871e-02]\n",
      "  [-1.61904991e-02 -6.29795156e-03  8.38057697e-03]\n",
      "  [-1.85925215e-02  3.96531448e-03  6.01276010e-02]\n",
      "  [ 1.42379701e-02  1.54883033e-02 -5.19725382e-02]\n",
      "  [-5.31464815e-03  1.26763880e-02  5.37019968e-03]\n",
      "  [-1.44054294e-02 -1.08267367e-03  3.62942666e-02]]\n",
      "\n",
      " [[ 1.95467472e-02  1.26131382e-02  1.55575126e-01]\n",
      "  [-5.98782301e-03  2.52571665e-02  1.85908526e-01]\n",
      "  [-2.32940614e-02  2.36106403e-02  1.52501613e-01]\n",
      "  [ 4.85062599e-03  1.70849636e-02  1.70097321e-01]\n",
      "  [-3.07632834e-02  1.79335717e-02  1.70682341e-01]\n",
      "  [-2.08681524e-02  2.88629159e-03  1.91892654e-01]\n",
      "  [-1.93638951e-02  1.07180607e-02  1.63490772e-01]\n",
      "  [-3.02529186e-02  6.60364516e-03  1.48876965e-01]\n",
      "  [-2.72783935e-02  5.65650128e-03  2.56845355e-01]\n",
      "  [-1.96254551e-02  4.75312769e-03  1.00534186e-01]\n",
      "  [-4.17147726e-02  7.01096468e-03  1.45892635e-01]\n",
      "  [-6.33215904e-03  6.46556355e-03 -6.76237047e-04]\n",
      "  [-3.42840552e-02  2.13479251e-03  1.23365633e-01]\n",
      "  [-3.83952558e-02  8.06770660e-03  2.04604268e-01]\n",
      "  [-3.01329195e-02 -5.48520125e-03  1.09298714e-01]\n",
      "  [-4.26809490e-02 -8.07326287e-04  1.80143744e-01]\n",
      "  [-5.54187447e-02 -3.32605466e-03  1.81836531e-01]\n",
      "  [-4.18994129e-02  1.89574808e-03  2.99168348e-01]\n",
      "  [-4.15358543e-02 -2.15298459e-02  2.92907000e-01]\n",
      "  [-6.20577782e-02 -1.51846763e-02  1.83448553e-01]]\n",
      "\n",
      " [[-3.68596464e-02  1.18030980e-03  1.34995520e-01]\n",
      "  [-8.83361697e-03  1.84171125e-02  1.75606146e-01]\n",
      "  [-2.04567015e-02  1.24459360e-02  1.60920203e-01]\n",
      "  [-1.59527361e-02  8.50364566e-03  2.13087976e-01]\n",
      "  [-1.81832612e-02  1.92741007e-02  6.80442527e-02]\n",
      "  [ 1.40880942e-02  1.92935765e-03  2.27407709e-01]\n",
      "  [-4.25801426e-02  1.25359222e-02  1.96246088e-01]\n",
      "  [ 1.59406662e-03  1.06829628e-02  1.45213917e-01]\n",
      "  [-4.42962945e-02  4.37189080e-03  1.71804726e-01]\n",
      "  [-3.38026434e-02  7.39938952e-03  2.13509798e-01]\n",
      "  [-8.57609510e-03  9.51223075e-03  9.15115476e-02]\n",
      "  [-4.18135375e-02  6.19966909e-03  3.76837105e-02]\n",
      "  [-4.79239672e-02  9.76272486e-03  3.72594923e-01]\n",
      "  [-2.15388238e-02 -3.64694744e-04  1.34646773e-01]\n",
      "  [-3.94204557e-02 -6.93646818e-03  2.72057056e-01]\n",
      "  [-1.01089478e-03  6.00624736e-03  1.65075749e-01]\n",
      "  [-1.57933235e-02 -2.21272614e-02  1.09859020e-01]\n",
      "  [-2.67604589e-02  1.27408281e-03  1.32390812e-01]\n",
      "  [-5.07606268e-02 -7.89065100e-03  2.14918643e-01]\n",
      "  [-2.15014815e-02 -1.98710822e-02  2.06519663e-01]]\n",
      "\n",
      " [[-2.76081413e-02  8.46325792e-03  5.78556433e-02]\n",
      "  [-1.81830227e-02  2.83454657e-02  4.80445102e-02]\n",
      "  [-2.82979012e-02  1.09181404e-02  1.32930398e-01]\n",
      "  [-1.60323977e-02 -3.44440714e-03  1.28591284e-01]\n",
      "  [-1.30037963e-02  1.86745785e-02  9.03610066e-02]\n",
      "  [-2.01080739e-02  6.66928664e-03  1.83629200e-01]\n",
      "  [-2.82708853e-02  5.28741814e-03  1.15012512e-01]\n",
      "  [-3.35516632e-02  1.29197910e-02  1.91669673e-01]\n",
      "  [-1.00284517e-02  7.54596479e-03  1.02186464e-01]\n",
      "  [-4.50348705e-02  3.17055173e-03  2.27157980e-01]\n",
      "  [-2.88148522e-02  5.07601723e-03  1.50081277e-01]\n",
      "  [-3.62704694e-02  5.47729433e-05  1.67759106e-01]\n",
      "  [-2.96744108e-02 -7.58713111e-04  1.58747807e-01]\n",
      "  [-3.61313224e-02  1.85856521e-02  9.26757306e-02]\n",
      "  [-1.91864371e-02  3.62509862e-03  7.08456859e-02]\n",
      "  [-2.32433975e-02 -2.37064809e-03  1.31886154e-01]\n",
      "  [-4.84090000e-02  6.31478615e-04  1.29017442e-01]\n",
      "  [-3.52191329e-02 -7.33935274e-03  9.14218202e-02]\n",
      "  [-1.62513852e-02  7.02643814e-03  2.25930572e-01]\n",
      "  [-1.28807425e-02 -5.18956408e-03  2.74783999e-01]]\n",
      "\n",
      " [[-3.54909897e-03  8.21049511e-03  1.87798247e-01]\n",
      "  [-8.97854567e-04  1.90235246e-02 -4.17325646e-03]\n",
      "  [-4.16208357e-02 -2.99584121e-03  1.64346933e-01]\n",
      "  [-1.16874576e-02 -6.50860369e-04  1.25169441e-01]\n",
      "  [-2.61205435e-02  3.21134925e-03  2.53926724e-01]\n",
      "  [ 3.31526697e-02  7.33865239e-03  1.15460411e-01]\n",
      "  [ 5.44390082e-03  1.05785225e-02  2.70188719e-01]\n",
      "  [-5.53545356e-03 -1.01564638e-03  2.09277272e-01]\n",
      "  [-3.96414697e-02  5.87040186e-03  2.18196660e-01]\n",
      "  [-3.74727398e-02  1.43487956e-02  2.62130708e-01]\n",
      "  [-8.91685486e-03  7.12122396e-03  1.30805880e-01]\n",
      "  [-2.46881247e-02  2.44458206e-03  1.08254738e-01]\n",
      "  [-3.81628424e-02 -2.45460309e-03  9.46631283e-02]\n",
      "  [-2.88928449e-02  3.95807065e-03  2.43611693e-01]\n",
      "  [-2.23971605e-02  1.09964153e-02  1.07142009e-01]\n",
      "  [-3.75467539e-02 -1.09278522e-02  1.58092469e-01]\n",
      "  [-5.97316623e-02 -9.23331454e-03  2.02507079e-01]\n",
      "  [-2.31110752e-02 -3.86947021e-03  1.52238712e-01]\n",
      "  [-5.27274907e-02 -1.17095709e-02  1.74968749e-01]\n",
      "  [-3.23731005e-02 -2.19660848e-02  1.88970327e-01]]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-4.96906042e-03  2.90796161e-05 -2.60658562e-03]\n",
      "  [-2.73278356e-03 -9.51640308e-04  8.11670721e-03]\n",
      "  [-5.70747256e-03 -7.93132931e-04 -1.32226944e-03]\n",
      "  [-2.88224220e-03  2.31768936e-04  1.28504038e-02]\n",
      "  [ 2.78925896e-03 -1.06814131e-03 -2.96390802e-03]\n",
      "  [-3.94278765e-03 -8.97429883e-04  3.97666544e-03]\n",
      "  [ 1.07684731e-03 -3.61125916e-03  2.32797638e-02]\n",
      "  [-3.06156278e-03 -2.05339119e-03 -2.31493264e-03]\n",
      "  [-3.39227915e-03 -1.43371895e-03  9.04045999e-03]\n",
      "  [-6.09067082e-03 -4.99925390e-03  1.23205483e-02]\n",
      "  [-6.45458698e-04 -1.93583220e-03  7.53021985e-03]\n",
      "  [-3.37946415e-03 -9.92391258e-04 -3.88591737e-03]\n",
      "  [-8.21173191e-04 -4.75610420e-03 -1.73618644e-03]\n",
      "  [-7.56537914e-03  1.72186643e-04  4.07365710e-03]\n",
      "  [-3.53306532e-03 -3.14871967e-03  3.53902578e-06]\n",
      "  [-3.85847688e-03 -3.34013999e-03  6.97568059e-04]\n",
      "  [-2.40987539e-03 -3.15662473e-03  2.20144913e-02]\n",
      "  [-3.13818455e-05 -2.54321843e-04  2.20008604e-02]\n",
      "  [ 1.88010931e-03 -1.90518051e-03  1.48091130e-02]\n",
      "  [-5.05134463e-03 -1.28647685e-03  2.54329517e-02]]\n",
      "\n",
      " [[ 2.90066004e-04  6.02982938e-04  7.88271427e-06]\n",
      "  [ 3.63707542e-04 -2.27645040e-04 -1.51789188e-03]\n",
      "  [ 4.74721193e-04  3.29148024e-04 -4.22031805e-03]\n",
      "  [ 5.02884388e-04  1.09214336e-04 -1.73104927e-03]\n",
      "  [ 1.02278590e-03  4.17079777e-04 -2.75226682e-03]\n",
      "  [ 8.39561224e-04  5.28194010e-04 -2.41766870e-03]\n",
      "  [ 1.08924508e-03 -2.07200646e-05  1.97081640e-03]\n",
      "  [ 3.97890806e-04  1.61333010e-04 -2.43414193e-03]\n",
      "  [ 3.12447548e-04  4.92459163e-04 -2.03210860e-04]\n",
      "  [ 1.78813934e-06  2.98731029e-04 -1.77557021e-03]\n",
      "  [ 8.69929790e-04  3.72100621e-04  7.67134130e-04]\n",
      "  [ 6.92903996e-04  2.92340294e-04 -3.31370533e-03]\n",
      "  [ 1.06531382e-03  2.60226429e-04 -5.21005318e-03]\n",
      "  [-1.31279230e-04  2.22468749e-04 -1.83847919e-03]\n",
      "  [ 4.50909138e-04  1.37869269e-04 -1.15310028e-03]\n",
      "  [ 5.37246466e-04 -2.00409442e-04 -1.12107396e-03]\n",
      "  [ 9.25064087e-04  1.79303810e-04  2.29889527e-04]\n",
      "  [ 9.79483128e-04  1.91317871e-04  2.36174464e-03]\n",
      "  [ 1.14688277e-03  1.86761841e-04 -3.33863124e-03]\n",
      "  [ 8.36044550e-04  1.29722059e-04  1.58910081e-03]]\n",
      "\n",
      " [[-1.23071671e-03  8.69782642e-04  8.68129358e-03]\n",
      "  [-3.17925215e-03  2.01807171e-03  6.13386184e-03]\n",
      "  [-6.78747892e-04  2.14872602e-03  2.26099789e-03]\n",
      "  [-1.32101774e-03  2.18054932e-03 -8.33965838e-04]\n",
      "  [-1.18994713e-03  2.37209909e-03 -2.10682675e-03]\n",
      "  [ 5.59002161e-04  1.79258455e-03  4.47937474e-03]\n",
      "  [-1.26761198e-03  2.90734367e-03 -8.31279904e-04]\n",
      "  [ 3.74227762e-04  2.82545388e-03  4.34511527e-03]\n",
      "  [-5.53309917e-04  2.12110952e-03  3.17331403e-03]\n",
      "  [-1.04367733e-04  3.33865359e-03  3.81223857e-03]\n",
      "  [-6.27547503e-04  2.30558543e-03  2.14399397e-03]\n",
      "  [-1.23706460e-03  2.99699744e-03  1.63598731e-03]\n",
      "  [-7.96467066e-04  3.19969933e-03  1.46014169e-02]\n",
      "  [ 2.69711018e-05  1.92764448e-03 -7.13862479e-04]\n",
      "  [-7.38471746e-04  1.95448380e-03  3.96669656e-03]\n",
      "  [ 5.11974096e-04  2.20194086e-03  1.48070604e-03]\n",
      "  [ 7.81595707e-04  1.68715790e-03  8.94915313e-04]\n",
      "  [-1.19209290e-04  2.10731104e-03  4.02012467e-03]\n",
      "  [-4.23133373e-04  2.08735000e-03 -1.52166933e-04]\n",
      "  [ 1.94784999e-03  1.98205747e-03  3.13336030e-03]]\n",
      "\n",
      " [[ 9.56389308e-03  4.78212070e-03 -6.27254695e-03]\n",
      "  [ 1.50821209e-02 -2.03543156e-03 -1.09746847e-02]\n",
      "  [ 1.48633122e-02 -4.38396446e-03 -2.00811755e-02]\n",
      "  [ 1.54604912e-02 -6.69369847e-03 -2.85054594e-02]\n",
      "  [ 1.37769580e-02 -5.84634114e-03 -2.10046917e-02]\n",
      "  [ 1.19620860e-02 -7.82003812e-03 -2.80920044e-02]\n",
      "  [ 1.28026903e-02 -1.12190079e-02 -2.32542511e-02]\n",
      "  [ 7.69913197e-03 -8.28906521e-03 -4.33468372e-02]\n",
      "  [ 1.20233595e-02 -1.12473490e-02 -4.67474125e-02]\n",
      "  [ 1.26477778e-02 -1.39086386e-02 -3.87411751e-02]\n",
      "  [ 1.80019140e-02 -1.16219250e-02 -4.12922464e-02]\n",
      "  [ 1.37106180e-02 -1.22195603e-02 -2.56440807e-02]\n",
      "  [ 1.07720494e-02 -1.24140801e-02 -3.93238440e-02]\n",
      "  [ 1.03792250e-02 -1.17203183e-02 -4.37447429e-02]\n",
      "  [ 7.80424476e-03 -1.10907871e-02 -3.67530026e-02]\n",
      "  [ 1.06120110e-02 -8.86622444e-03 -1.88341029e-02]\n",
      "  [ 8.98969173e-03 -1.01440065e-02 -2.68348400e-02]\n",
      "  [ 8.31931829e-03 -1.00399340e-02 -2.22380199e-02]\n",
      "  [ 6.81185722e-03 -8.59282725e-03 -2.92157996e-02]\n",
      "  [ 4.92569804e-03 -8.39574076e-03 -2.56790444e-02]]\n",
      "\n",
      " [[ 7.27361441e-03 -1.03217261e-02 -2.85265334e-02]\n",
      "  [ 4.52536345e-03 -3.05259787e-03  1.26076862e-04]\n",
      "  [ 5.26547432e-03 -3.11074592e-03 -5.75527176e-03]\n",
      "  [ 4.52858210e-03 -3.90740298e-03 -9.23844613e-03]\n",
      "  [ 1.52215362e-03 -2.73510814e-03 -1.20930849e-02]\n",
      "  [ 1.65295601e-03 -2.75980309e-03 -1.15798553e-02]\n",
      "  [ 5.87463379e-04 -3.77928466e-03 -9.18386877e-03]\n",
      "  [ 1.04719400e-03 -1.93638355e-03 -1.47642558e-02]\n",
      "  [ 9.98586416e-04 -2.23616324e-03 -3.28361802e-02]\n",
      "  [ 1.14977360e-03 -2.84243934e-03 -2.39413157e-02]\n",
      "  [ 4.86078858e-03 -2.11689621e-04 -2.92305723e-02]\n",
      "  [ 1.52909756e-03 -4.89331782e-04 -1.88990273e-02]\n",
      "  [-3.79383564e-05 -1.35831162e-03 -2.26319917e-02]\n",
      "  [ 1.96942687e-03 -1.26801804e-03 -2.29039900e-02]\n",
      "  [ 5.42849302e-04 -1.92681141e-03 -2.12903246e-02]\n",
      "  [ 5.27408719e-03 -1.65948831e-03 -2.05445215e-02]\n",
      "  [ 2.39551067e-03 -1.40574947e-03 -2.62872521e-02]\n",
      "  [ 2.14579701e-03 -3.04585695e-03 -1.09932227e-02]\n",
      "  [ 9.46521759e-04 -1.79270655e-03 -1.71714630e-02]\n",
      "  [ 3.49560380e-03 -2.53558159e-04 -1.17458953e-02]]\n",
      "\n",
      " [[ 3.76439095e-03 -7.65724387e-03 -3.58757377e-02]\n",
      "  [ 1.35043263e-03 -7.95485452e-04 -4.91768122e-04]\n",
      "  [-1.16309524e-03 -9.55235213e-04  1.95216574e-03]\n",
      "  [-1.33091211e-03  1.03449449e-04  7.04643130e-03]\n",
      "  [-4.32372093e-04  4.53237444e-05  3.02935205e-03]\n",
      "  [-1.66922808e-04  2.30412930e-04  3.92063707e-03]\n",
      "  [-2.24944949e-03  4.01606783e-04  6.30134996e-03]\n",
      "  [ 3.43254209e-03 -5.17759472e-05  9.17760655e-03]\n",
      "  [-2.51081586e-03  1.53955817e-03 -3.37817892e-03]\n",
      "  [-3.77768278e-03  1.12090632e-03  4.01437748e-03]\n",
      "  [-2.00977921e-03  2.82157212e-03 -3.37883830e-03]\n",
      "  [-3.58495116e-03  2.38424726e-03 -1.12263858e-03]\n",
      "  [-2.36403942e-03  1.89405680e-03 -2.40768027e-03]\n",
      "  [-2.04834342e-03  2.87069939e-03 -4.24647238e-03]\n",
      "  [-3.30680609e-03  2.29876675e-03 -3.05131101e-03]\n",
      "  [-8.05109739e-04  8.14905390e-04 -6.87227631e-03]\n",
      "  [-2.31644511e-03  1.81431696e-03 -1.17183328e-02]\n",
      "  [-5.94615936e-04  1.74399838e-03  4.53553069e-03]\n",
      "  [-1.35040283e-03  2.93464959e-03  2.99736438e-03]\n",
      "  [-3.77982855e-04  2.75332108e-03  3.76722077e-03]]\n",
      "\n",
      " [[-2.14159489e-04 -4.23546229e-03 -2.48200800e-02]\n",
      "  [ 1.22836232e-03  9.66975465e-04 -1.92553177e-03]\n",
      "  [-1.23578310e-03  8.67094845e-04 -5.73229045e-04]\n",
      "  [-2.22161412e-03  7.87576661e-04  3.23617458e-03]\n",
      "  [ 9.58442688e-04  1.52804703e-03  2.42612138e-03]\n",
      "  [-2.63112783e-03  1.17675401e-03  3.00707296e-03]\n",
      "  [-2.03952193e-03  5.63044101e-04  1.19809005e-02]\n",
      "  [ 3.01650167e-03 -1.19443983e-04  7.96148740e-03]\n",
      "  [-4.42522764e-03  2.13855132e-03  6.26413152e-04]\n",
      "  [-6.42859936e-03  2.10933946e-03  5.85321523e-03]\n",
      "  [-3.56125832e-03  2.86087394e-03  8.29977263e-03]\n",
      "  [-3.46165895e-03  2.36865319e-03  5.93285076e-03]\n",
      "  [-1.87912583e-03  2.26790830e-03  5.62486053e-03]\n",
      "  [-1.45268440e-03  3.73130850e-03  3.67301144e-03]\n",
      "  [-4.45824862e-03  2.62207352e-03  5.74663095e-03]\n",
      "  [-7.04824924e-04  2.77056359e-03  9.87263024e-03]\n",
      "  [-1.82971358e-03  3.72004136e-03  5.89203555e-03]\n",
      "  [-1.27354264e-03  3.86612117e-03  2.05624476e-02]\n",
      "  [-1.69014931e-03  4.22214344e-03  1.79364011e-02]\n",
      "  [-2.11444497e-03  4.04705293e-03  1.13597503e-02]]\n",
      "\n",
      " [[ 4.63306904e-03  1.33371353e-03 -2.90047750e-03]\n",
      "  [ 2.72142887e-03  3.68209369e-03 -3.88666615e-03]\n",
      "  [ 4.68450785e-03  2.00006552e-03  3.62694263e-03]\n",
      "  [ 6.25753403e-03  1.94050744e-03 -4.96873446e-03]\n",
      "  [ 1.73419714e-04  1.25062652e-03 -3.62346135e-03]\n",
      "  [ 4.67526913e-03  8.44873488e-04 -1.17698312e-03]\n",
      "  [ 3.88112664e-03  9.46665183e-04 -1.05383154e-02]\n",
      "  [ 4.00242209e-03  1.03331916e-03  1.62300766e-02]\n",
      "  [ 5.75238466e-03 -4.56977636e-04  2.66676396e-03]\n",
      "  [ 1.16133690e-03  3.43105197e-03 -2.45004147e-03]\n",
      "  [-2.60117650e-03 -6.31525181e-04  6.62901253e-03]\n",
      "  [-1.29464269e-03  2.00017914e-03  1.31862164e-02]\n",
      "  [ 1.41516328e-03  4.49393876e-04  1.00581422e-02]\n",
      "  [-1.43158436e-03  1.49627589e-03  5.45397028e-03]\n",
      "  [ 9.55134630e-04 -1.00716949e-04 -9.50980559e-03]\n",
      "  [-2.14990973e-03  1.31792203e-03  1.58125535e-03]\n",
      "  [-3.91525030e-03  1.76232867e-03  4.35420871e-03]\n",
      "  [-1.97017193e-03  8.05738382e-04  1.96039900e-02]\n",
      "  [ 1.30951405e-04  2.48054974e-04  1.88742876e-02]\n",
      "  [ 7.28696585e-04  1.43257063e-03  1.09700710e-02]]\n",
      "\n",
      " [[ 3.06247175e-02 -2.29916256e-03 -1.22805148e-01]\n",
      "  [ 1.29906833e-02  4.65577794e-03 -1.93176866e-02]\n",
      "  [ 1.49655342e-02  4.81126318e-03 -7.86019862e-03]\n",
      "  [ 8.70043039e-03  5.60576795e-03 -2.35339999e-03]\n",
      "  [ 1.45572424e-02  6.77813357e-03 -5.23944199e-03]\n",
      "  [ 1.12277567e-02  9.97751020e-03 -6.27875328e-03]\n",
      "  [ 1.11859441e-02  9.92114004e-03  1.30779147e-02]\n",
      "  [ 8.40300322e-03  1.10064056e-02  1.42414570e-02]\n",
      "  [ 8.05729628e-03  1.16559658e-02 -1.26646757e-02]\n",
      "  [ 3.69182229e-03  1.34100765e-02  3.32082957e-02]\n",
      "  [ 7.54100084e-03  1.27031822e-02  2.88818181e-02]\n",
      "  [-3.04412842e-03  1.44347427e-02  6.19407743e-02]\n",
      "  [ 6.71324134e-03  1.42733976e-02  4.30303067e-02]\n",
      "  [ 1.54975057e-03  1.55381691e-02  3.31764668e-02]\n",
      "  [ 1.31303072e-03  1.86316371e-02  4.89889532e-02]\n",
      "  [ 3.14283371e-03  1.64609104e-02  2.50724107e-02]\n",
      "  [ 5.81592321e-03  1.81888472e-02  3.10820043e-02]\n",
      "  [ 3.65296006e-03  1.69181488e-02  8.64495337e-03]\n",
      "  [ 7.88906217e-03  2.19993740e-02  1.07631087e-02]\n",
      "  [ 1.19640827e-02  2.03205422e-02  4.44808006e-02]]\n",
      "\n",
      " [[-5.51781058e-03  7.71341054e-03  2.76657939e-02]\n",
      "  [ 1.18923187e-03  7.28128385e-03  7.30197132e-03]\n",
      "  [ 1.97243690e-03  6.58815028e-03  1.69407129e-02]\n",
      "  [-7.46399164e-04  7.91947916e-03  1.37668103e-02]\n",
      "  [ 4.84862924e-03  8.58784094e-03  1.45607740e-02]\n",
      "  [ 2.42877007e-03  1.06818723e-02  1.32191330e-02]\n",
      "  [ 3.09205055e-03  1.08040478e-02  2.53627151e-02]\n",
      "  [ 1.28635764e-03  1.10926069e-02  2.73632407e-02]\n",
      "  [ 3.13869119e-03  1.09641524e-02 -1.73957646e-03]\n",
      "  [ 3.76522541e-04  1.20467683e-02  3.20521295e-02]\n",
      "  [ 3.36974859e-03  1.15817208e-02  2.44321376e-02]\n",
      "  [-4.08953428e-03  1.16308536e-02  4.79554236e-02]\n",
      "  [ 4.11021709e-03  1.20031778e-02  3.21384221e-02]\n",
      "  [ 5.85138798e-04  1.34859430e-02  2.52828598e-02]\n",
      "  [ 1.46389008e-04  1.50307491e-02  3.70219946e-02]\n",
      "  [ 1.16923451e-03  1.28945448e-02  1.08121634e-02]\n",
      "  [ 4.06262279e-03  1.36789810e-02  1.67671889e-02]\n",
      "  [ 2.53009796e-03  1.20708775e-02 -5.31502068e-03]\n",
      "  [ 5.97834587e-03  1.55486250e-02  6.83262944e-04]\n",
      "  [ 7.84960389e-03  1.39335087e-02  3.04268599e-02]]\n",
      "\n",
      " [[-7.61741400e-03  2.20796000e-03  6.35060668e-03]\n",
      "  [-3.44887376e-03  8.16895626e-04 -7.06532598e-03]\n",
      "  [ 5.35249710e-04 -3.74037772e-04 -4.85524535e-03]\n",
      "  [-4.62701917e-03 -2.02593394e-04  1.58959627e-03]\n",
      "  [ 1.07589364e-03 -4.55140136e-04 -3.37535143e-03]\n",
      "  [-1.95521116e-03  2.14040093e-03 -8.60534608e-03]\n",
      "  [ 7.16775656e-04  6.42985106e-06  5.81121445e-03]\n",
      "  [-1.58208609e-03  1.37551501e-03  2.55271792e-03]\n",
      "  [-6.91026449e-04  1.29079819e-03 -2.62862593e-02]\n",
      "  [-2.10714340e-03  1.38557144e-03  1.29665881e-02]\n",
      "  [ 3.40530276e-03 -1.66261569e-04  4.87616658e-03]\n",
      "  [-4.31364775e-03  1.21443346e-03  3.90400141e-02]\n",
      "  [ 3.40220332e-03 -7.69030303e-05  9.41568613e-03]\n",
      "  [-6.97106123e-04  2.67844647e-04 -1.48548186e-03]\n",
      "  [-1.79961324e-03  2.60188244e-03  1.44001544e-02]\n",
      "  [-7.49170780e-04 -2.43084505e-04 -5.57194650e-03]\n",
      "  [ 1.66946650e-03  6.38509169e-04 -2.92581320e-03]\n",
      "  [-1.10730529e-03 -1.85888074e-03 -2.09107101e-02]\n",
      "  [ 1.37233734e-03  3.47724929e-03 -1.84518397e-02]\n",
      "  [ 7.06928968e-03  1.81895122e-03  1.14809722e-02]]\n",
      "\n",
      " [[-2.32297182e-03 -4.80345637e-03 -3.44951451e-03]\n",
      "  [-3.88240814e-03 -4.62458469e-03 -1.24419034e-02]\n",
      "  [ 1.13475323e-03 -3.86410765e-03 -6.29270077e-03]\n",
      "  [-3.14959884e-03 -4.77709807e-03 -1.04412735e-02]\n",
      "  [-1.80956721e-03 -5.14177699e-03 -4.02361155e-04]\n",
      "  [-8.09350610e-03 -2.54210830e-03 -1.90598965e-02]\n",
      "  [ 3.04639339e-03 -3.53786163e-03  1.61433220e-03]\n",
      "  [-5.59368730e-03 -1.56576000e-03 -1.24718249e-03]\n",
      "  [-2.18749046e-05 -1.32248737e-03 -1.00514889e-02]\n",
      "  [-2.38046050e-03  3.09279189e-04 -4.29776311e-03]\n",
      "  [-3.78102064e-03 -1.95680372e-03  7.21995533e-03]\n",
      "  [-8.88884068e-04  8.60145316e-04  3.17945331e-02]\n",
      "  [ 2.86504626e-03 -2.20792368e-03 -6.52074814e-03]\n",
      "  [-4.51043248e-03  1.30835921e-03  4.61341441e-03]\n",
      "  [-3.60104442e-03  2.45142914e-03 -1.05424523e-02]\n",
      "  [-7.23600388e-03  5.82244247e-05 -1.71469152e-03]\n",
      "  [-2.45147943e-03  2.76039727e-03  5.00595570e-03]\n",
      "  [-5.15460968e-03 -7.95425847e-04  3.84867191e-04]\n",
      "  [ 5.16712666e-04  3.27213109e-03 -3.59937549e-03]\n",
      "  [ 3.06326151e-03  4.13316302e-03  5.60051203e-03]]\n",
      "\n",
      " [[-1.71083212e-03 -2.10799277e-03 -2.51129270e-03]\n",
      "  [-3.31854820e-03 -6.97791390e-03 -1.34636462e-02]\n",
      "  [ 1.24007463e-04 -5.82057796e-03 -1.14379823e-02]\n",
      "  [-3.37919593e-03 -6.01079129e-03 -1.25097930e-02]\n",
      "  [-1.03342533e-03 -6.16976805e-03 -3.09638679e-03]\n",
      "  [-7.71003962e-03 -3.40765156e-03 -1.93199962e-02]\n",
      "  [ 2.25004554e-03 -3.34176607e-03  2.04926729e-03]\n",
      "  [-4.45187092e-03 -1.62667222e-03 -5.31767309e-03]\n",
      "  [-3.91334295e-04 -1.34841725e-03 -1.27503276e-02]\n",
      "  [-2.00191140e-03  7.15306029e-04 -4.59504128e-03]\n",
      "  [-2.41401792e-03 -1.19926222e-03  6.09974563e-03]\n",
      "  [-5.83618879e-04  1.67086907e-03  2.93537825e-02]\n",
      "  [ 2.21762061e-03 -6.81445003e-04 -5.98885119e-03]\n",
      "  [-3.58751416e-03  2.28723884e-03  4.25551832e-03]\n",
      "  [-2.87351012e-03  3.95281427e-03 -5.27083874e-03]\n",
      "  [-5.98394871e-03  2.13022903e-03 -8.74072313e-04]\n",
      "  [-7.63386488e-04  4.51790728e-03  3.81298363e-03]\n",
      "  [-4.14389372e-03  1.70013122e-03 -1.97289884e-03]\n",
      "  [ 8.62538815e-04  5.80845401e-03 -5.78229129e-03]\n",
      "  [ 3.74910235e-03  6.51933625e-03  1.08705461e-03]]\n",
      "\n",
      " [[-1.92615390e-03  3.08616087e-04 -1.61002576e-03]\n",
      "  [-2.88462639e-03 -6.62199222e-03 -1.08942091e-02]\n",
      "  [ 2.70068645e-04 -5.53602539e-03 -1.23509765e-02]\n",
      "  [-3.03667784e-03 -5.72041795e-03 -1.18245482e-02]\n",
      "  [-6.51091337e-04 -5.36836497e-03 -4.98472154e-03]\n",
      "  [-7.15285540e-03 -3.33517790e-03 -1.58630013e-02]\n",
      "  [ 1.11103058e-03 -2.92406604e-03  1.82421505e-03]\n",
      "  [-3.78829241e-03 -1.35229900e-03 -5.71876764e-03]\n",
      "  [-8.10176134e-04 -1.35705061e-03 -1.12567842e-02]\n",
      "  [-1.75476074e-03  8.05424526e-04 -6.93702698e-03]\n",
      "  [-1.72021985e-03 -8.99937004e-04  4.13177907e-03]\n",
      "  [-2.83151865e-04  1.79152563e-03  2.14482099e-02]\n",
      "  [ 1.55395269e-03 -7.98273832e-05 -2.86805630e-03]\n",
      "  [-3.01912427e-03  2.22466514e-03  3.20920348e-03]\n",
      "  [-2.88105011e-03  3.69439460e-03 -2.80089676e-03]\n",
      "  [-4.97961044e-03  2.56008841e-03 -8.94770026e-04]\n",
      "  [ 3.08305025e-04  4.07941267e-03  5.87150455e-04]\n",
      "  [-3.39186192e-03  1.93546712e-03 -3.32783163e-03]\n",
      "  [ 6.26593828e-04  5.37473708e-03 -5.27901947e-03]\n",
      "  [ 3.63147259e-03  6.13996945e-03 -1.25473738e-03]]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-2.96603143e-02  7.89899379e-04 -2.45383978e-02]\n",
      "  [-4.74591553e-03 -3.74928117e-03  1.72070265e-02]\n",
      "  [-2.56051570e-02 -2.48740986e-03 -4.76974919e-02]\n",
      "  [-1.14209056e-02  5.65887988e-03  3.17598134e-02]\n",
      "  [ 2.09687650e-02 -2.70049646e-03 -4.54127043e-02]\n",
      "  [-9.63696837e-03  1.25309825e-03  1.10768154e-02]\n",
      "  [ 1.63173079e-02 -1.48248225e-02  9.53323916e-02]\n",
      "  [-4.00650501e-03 -4.90783155e-03 -1.09127834e-02]\n",
      "  [-2.00003982e-02  1.54096633e-04  5.27894050e-02]\n",
      "  [-3.41715068e-02 -1.82239413e-02  9.53148454e-02]\n",
      "  [-3.45826149e-04 -6.32886216e-03  2.91575491e-02]\n",
      "  [-1.38805211e-02  3.45361605e-03 -2.34840512e-02]\n",
      "  [ 1.13487244e-04 -1.83389895e-02  3.09310928e-02]\n",
      "  [-2.50675231e-02  6.44579343e-03  1.11301243e-03]\n",
      "  [-1.79633945e-02 -1.09173097e-02  2.24637315e-02]\n",
      "  [-2.05490440e-02 -1.02847777e-02 -2.19164379e-02]\n",
      "  [-5.95462322e-03 -1.14774555e-02  1.31393462e-01]\n",
      "  [ 4.31805849e-03  4.22929786e-03  6.52671009e-02]\n",
      "  [ 1.78016424e-02 -1.67617202e-03  5.65424040e-02]\n",
      "  [-2.17861235e-02 -7.57846981e-04  1.05751030e-01]]\n",
      "\n",
      " [[ 2.87175179e-04  1.16223190e-02  2.22717300e-02]\n",
      "  [-5.66554070e-03 -1.65807456e-03  4.28296849e-02]\n",
      "  [-7.62915611e-03  3.49096954e-04  3.64564583e-02]\n",
      "  [-2.47691721e-02 -5.73671609e-03 -5.38010299e-02]\n",
      "  [-1.34292543e-02  6.73010014e-03  8.23397636e-02]\n",
      "  [-3.53962183e-04  4.57669608e-03 -2.28194892e-03]\n",
      "  [-1.24652088e-02  5.05883805e-03  6.20748550e-02]\n",
      "  [-2.62260437e-03 -4.76772338e-03  3.20619009e-02]\n",
      "  [ 1.79438889e-02 -1.14673004e-03 -7.78437406e-02]\n",
      "  [ 2.48438120e-03  1.32845715e-04 -1.09139353e-01]\n",
      "  [ 1.91890001e-02  5.54238632e-03  1.38892755e-02]\n",
      "  [-1.35190785e-02 -1.65039077e-02 -7.28519186e-02]\n",
      "  [ 8.07896256e-03  4.78612073e-03 -5.74233085e-02]\n",
      "  [-2.87792683e-02  3.44647467e-03  9.05606598e-02]\n",
      "  [ 4.44948971e-02  9.08120349e-03  8.95687193e-03]\n",
      "  [ 1.78739429e-03 -1.54626928e-02 -5.81746250e-02]\n",
      "  [ 2.45082974e-02  7.43901264e-03  3.24586108e-02]\n",
      "  [ 6.21515512e-03  7.64997024e-03  5.43137342e-02]\n",
      "  [ 1.53307319e-02  1.02436133e-02 -1.65133566e-01]\n",
      "  [ 1.85673833e-02  3.66681442e-03  1.30200595e-01]]\n",
      "\n",
      " [[ 3.02857161e-02  1.56947412e-03  4.69097644e-02]\n",
      "  [-3.34981084e-03  1.38959475e-02  1.91948593e-01]\n",
      "  [ 2.44955719e-02  9.04836971e-03  7.94870928e-02]\n",
      "  [ 1.22812986e-02 -5.29468060e-04 -2.71964334e-02]\n",
      "  [-2.11346149e-02  1.68205071e-02  3.21492180e-02]\n",
      "  [-2.81101763e-02 -1.83350220e-03 -2.16391198e-02]\n",
      "  [ 1.41857564e-02 -7.79153779e-05  3.46536040e-02]\n",
      "  [ 4.66725230e-03  4.63522738e-03 -3.83695811e-02]\n",
      "  [-2.63903439e-02 -1.41314603e-03 -1.02844246e-01]\n",
      "  [-7.05149770e-03 -6.18136395e-03 -6.84096888e-02]\n",
      "  [ 2.56241858e-02  1.65311294e-03 -3.88824716e-02]\n",
      "  [ 2.35295594e-02  9.67027713e-03  6.21406250e-02]\n",
      "  [-1.30360723e-02 -1.88186020e-03  3.51062641e-02]\n",
      "  [-2.08932757e-02  4.09366796e-03 -4.29878756e-02]\n",
      "  [-4.08926606e-03 -6.08623028e-04  4.82060090e-02]\n",
      "  [ 1.48187280e-02 -7.13904388e-04  5.18019572e-02]\n",
      "  [ 1.41631663e-02 -1.07055157e-02  3.61393243e-02]\n",
      "  [-1.27051473e-02 -7.66037218e-03  2.43474357e-02]\n",
      "  [-5.40882349e-04  2.12834869e-03  3.25421169e-02]\n",
      "  [-3.02892923e-03 -1.28225982e-03  5.65068498e-02]]\n",
      "\n",
      " [[ 2.89404392e-03  2.98325159e-03 -4.58274707e-02]\n",
      "  [ 3.44120264e-02  8.93606059e-03 -3.70321572e-02]\n",
      "  [ 3.63728404e-03  3.27501353e-03 -1.18423611e-01]\n",
      "  [-9.51883197e-03 -1.28048994e-02  6.63571060e-03]\n",
      "  [ 2.32038796e-02 -1.52590284e-02 -4.95595858e-03]\n",
      "  [ 1.75164640e-02 -9.00837220e-03 -4.52082418e-02]\n",
      "  [ 1.60571039e-02 -2.84028612e-02  9.94577110e-02]\n",
      "  [ 3.44302356e-02 -1.01794451e-02 -9.16344970e-02]\n",
      "  [-7.10123777e-03 -3.42804566e-03 -7.63886422e-02]\n",
      "  [ 5.31482697e-03 -9.17517208e-03 -1.23036981e-01]\n",
      "  [ 2.18196213e-02 -4.55551688e-03 -1.65144131e-02]\n",
      "  [ 2.44847536e-02 -2.27109790e-02  1.34809688e-03]\n",
      "  [ 3.80560458e-02 -2.26779729e-02 -6.12965971e-02]\n",
      "  [ 1.65246129e-02 -6.36873767e-03 -1.65530965e-01]\n",
      "  [ 1.42859817e-02 -1.75218545e-02 -5.91459423e-02]\n",
      "  [-5.16578555e-03 -4.25299909e-03  9.73917916e-03]\n",
      "  [ 1.89107358e-02 -1.55118825e-02 -1.04277134e-01]\n",
      "  [ 1.56797171e-02 -1.84651054e-02  8.81004483e-02]\n",
      "  [-1.22736394e-02 -1.30627304e-03 -1.17932577e-02]\n",
      "  [ 1.35967135e-03 -9.81236156e-03 -1.30758494e-01]]\n",
      "\n",
      " [[-1.67754292e-02 -3.91108450e-03 -7.79040977e-02]\n",
      "  [ 3.82360220e-02 -1.17740594e-03 -4.53331470e-02]\n",
      "  [-1.97448432e-02 -4.19797748e-03 -6.09497949e-02]\n",
      "  [-2.38895416e-04  5.64055797e-03 -2.85424404e-02]\n",
      "  [-6.37173653e-05 -8.96988995e-03  5.18163070e-02]\n",
      "  [ 8.14968348e-03  3.48604377e-03 -8.87865201e-03]\n",
      "  [-1.40715837e-02 -7.94212334e-04 -6.06631562e-02]\n",
      "  [ 3.79636884e-03 -2.19891462e-02  6.05380610e-02]\n",
      "  [ 1.48739219e-02 -2.31105369e-03 -6.76457286e-02]\n",
      "  [ 2.13001370e-02 -8.43157433e-03 -1.14118412e-01]\n",
      "  [-3.36322188e-02 -1.01960432e-02 -7.50474781e-02]\n",
      "  [ 1.53782964e-03 -1.10746156e-02 -6.62780181e-03]\n",
      "  [ 1.77347958e-02 -4.80856746e-04 -1.99326292e-01]\n",
      "  [-1.60403848e-02 -3.09619494e-03 -3.91215757e-02]\n",
      "  [-2.37673521e-04 -4.78603505e-03 -6.74460009e-02]\n",
      "  [-7.03182817e-03 -3.10700014e-03 -3.23607698e-02]\n",
      "  [ 1.54867768e-03 -1.01699941e-02 -7.97796994e-02]\n",
      "  [-9.60591435e-03 -1.05819106e-02  2.04228535e-02]\n",
      "  [ 1.66996121e-02 -1.64245907e-03  1.27997547e-02]\n",
      "  [-2.89196968e-02 -4.67198994e-03 -1.58801898e-02]]\n",
      "\n",
      " [[ 2.05940306e-02 -2.08806526e-03 -9.37741250e-02]\n",
      "  [ 9.52392817e-03  8.19137134e-03 -7.75205642e-02]\n",
      "  [ 3.36369872e-03  1.20922476e-02  1.82224065e-01]\n",
      "  [ 3.54430974e-02 -7.52717815e-03 -7.22883493e-02]\n",
      "  [-1.02308691e-02  5.38602471e-05  5.86467534e-02]\n",
      "  [ 2.29662657e-03  2.45022215e-03 -6.47591501e-02]\n",
      "  [ 1.10567510e-02 -4.31796350e-03 -1.15275063e-01]\n",
      "  [ 6.19527698e-03 -7.96041638e-03  6.16889074e-02]\n",
      "  [ 1.45571530e-02 -1.14696231e-02  5.24762198e-02]\n",
      "  [ 7.88989663e-03  2.21679453e-02 -1.13071270e-01]\n",
      "  [-8.81180167e-03 -1.61497053e-02  4.88996133e-02]\n",
      "  [-4.45902348e-04 -1.15127116e-03  3.68099138e-02]\n",
      "  [ 3.73154879e-04 -2.46009417e-03  8.72169286e-02]\n",
      "  [-4.60582972e-03 -7.05755502e-03  1.09242260e-01]\n",
      "  [ 2.20867991e-02  2.81857140e-03 -1.48300052e-01]\n",
      "  [-7.27573037e-03  8.10545590e-03 -4.40586656e-02]\n",
      "  [-1.78321898e-02 -5.73657453e-05  1.22620538e-02]\n",
      "  [-1.97723508e-03 -3.32975574e-03 -1.42772254e-02]\n",
      "  [-8.97422433e-03 -1.34091340e-02 -2.30224840e-02]\n",
      "  [-2.13390589e-03  1.07277595e-02 -5.03269024e-02]]\n",
      "\n",
      " [[ 6.02477789e-03 -3.28191370e-03 -8.02025795e-02]\n",
      "  [ 2.18336284e-02 -1.77336857e-04 -3.29295509e-02]\n",
      "  [ 3.46562266e-02 -3.43668275e-03 -1.22919520e-02]\n",
      "  [ 4.24697995e-03 -1.06571373e-02  8.76999050e-02]\n",
      "  [-1.36297941e-03  8.84089898e-03  1.53482929e-02]\n",
      "  [-3.79034877e-02 -3.78390774e-04 -1.30084343e-03]\n",
      "  [ 4.93453741e-02 -1.73128042e-02  1.14044234e-01]\n",
      "  [-6.91533089e-04  1.94077659e-03  2.05232203e-03]\n",
      "  [-8.09228420e-03 -3.46053764e-03  5.22290766e-02]\n",
      "  [-1.97122395e-02  2.74023227e-03 -7.48003423e-02]\n",
      "  [-1.35254264e-02  2.48608366e-03 -4.60357219e-03]\n",
      "  [ 2.43857503e-03 -1.29687674e-02 -8.25263094e-03]\n",
      "  [ 4.32729721e-05 -7.81326555e-03  1.31738067e-01]\n",
      "  [ 1.57652497e-02  1.12508796e-03 -4.70411591e-03]\n",
      "  [-1.73220932e-02  6.14725705e-03  4.62231264e-02]\n",
      "  [-8.31004977e-03 -1.50033422e-02 -1.08189974e-02]\n",
      "  [ 1.85901821e-02  1.37592889e-02 -6.83858767e-02]\n",
      "  [ 4.23088968e-02  3.20047326e-03 -3.64766791e-02]\n",
      "  [ 1.23999119e-02  4.33536246e-04  2.16653626e-02]\n",
      "  [ 3.98698449e-03  8.14365409e-03 -6.79766620e-03]]\n",
      "\n",
      " [[ 1.97512507e-02  1.47843016e-02 -8.45530033e-02]\n",
      "  [ 4.85977530e-03  7.90650956e-03 -9.12810788e-02]\n",
      "  [ 3.79087925e-02  1.16979145e-02  1.66923702e-02]\n",
      "  [ 3.53749096e-02  1.55142788e-02  9.80141386e-02]\n",
      "  [ 3.87901664e-02  1.49113685e-03 -3.95433232e-02]\n",
      "  [ 1.63179934e-02  1.23114297e-02 -5.12838960e-02]\n",
      "  [ 1.69001222e-02  3.17082182e-03  1.27079368e-01]\n",
      "  [ 4.23108041e-02  3.89414653e-03 -7.90374652e-02]\n",
      "  [ 9.30234790e-03  2.34616250e-02  2.85623744e-02]\n",
      "  [ 4.41502333e-02  5.86347654e-03 -2.28623860e-02]\n",
      "  [ 2.66606510e-02  2.82568056e-02 -2.37402525e-02]\n",
      "  [ 3.20546031e-02 -9.62752849e-04  5.19844294e-02]\n",
      "  [ 3.74566019e-02 -6.21876307e-03 -2.44068727e-03]\n",
      "  [ 4.19925451e-02 -8.10539164e-03 -7.31214210e-02]\n",
      "  [-4.09400463e-03 -4.43726219e-03  3.09465080e-02]\n",
      "  [ 6.35766983e-03  4.23580594e-03  3.43976170e-02]\n",
      "  [ 4.30733263e-02 -1.31327659e-04  2.75386311e-02]\n",
      "  [ 2.64948905e-02  1.54824555e-03  5.28675877e-03]\n",
      "  [-1.27887726e-03 -3.83613072e-03  6.53730854e-02]\n",
      "  [-2.26007700e-02 -8.44813697e-03  1.02102533e-02]]\n",
      "\n",
      " [[-3.67012620e-03  4.92017344e-03 -1.27796739e-01]\n",
      "  [ 2.76408494e-02 -1.47858448e-03 -1.47369742e-01]\n",
      "  [ 5.05713820e-02 -1.52093545e-03 -9.50698778e-02]\n",
      "  [ 2.62750089e-02 -5.23653068e-03 -8.20243284e-02]\n",
      "  [ 3.39690149e-02  9.86960530e-03 -2.26966515e-02]\n",
      "  [ 1.44486129e-02 -4.59816307e-03 -1.51021421e-01]\n",
      "  [ 2.91323364e-02  7.51566142e-04  5.90791181e-02]\n",
      "  [ 2.02847123e-02  3.66246607e-03 -5.73577248e-02]\n",
      "  [ 4.92578745e-03 -3.31472978e-03 -8.43840092e-02]\n",
      "  [ 2.47043967e-02  8.04156158e-03 -7.43196309e-02]\n",
      "  [ 3.97245586e-02  5.15032560e-04  4.18375656e-02]\n",
      "  [ 2.48552859e-02  1.56266596e-02  2.43638977e-02]\n",
      "  [ 2.80597210e-02 -1.76993944e-03 -5.20081222e-02]\n",
      "  [ 5.80146909e-03 -9.74645652e-03 -8.95800218e-02]\n",
      "  [-2.02052891e-02  2.62157992e-03 -8.17018747e-02]\n",
      "  [ 8.80694389e-03 -2.31301598e-03  9.09406766e-02]\n",
      "  [ 2.46804357e-02  9.08766873e-04  1.93416998e-02]\n",
      "  [-3.49760056e-04  5.83862513e-03 -2.32837349e-03]\n",
      "  [ 1.62833035e-02  5.13957161e-03  3.73193622e-02]\n",
      "  [ 3.56680453e-02  5.84308337e-03  2.69080475e-02]]\n",
      "\n",
      " [[ 1.94489062e-02  1.63224414e-02 -7.81693384e-02]\n",
      "  [-1.44285858e-02  5.00205811e-03  3.21778655e-03]\n",
      "  [-1.20244026e-02  6.62737899e-03  2.00261995e-01]\n",
      "  [ 4.51546907e-03  2.45684814e-02  1.00803554e-01]\n",
      "  [ 3.50713730e-03  1.45159028e-02  1.96591780e-01]\n",
      "  [ 1.05111003e-02  1.05323028e-02  9.60720927e-02]\n",
      "  [ 8.37585330e-03  2.91416459e-02 -7.11282641e-02]\n",
      "  [-1.65938735e-02  9.84528940e-03  1.23308107e-01]\n",
      "  [-2.45614499e-02  7.53824972e-03  7.87572712e-02]\n",
      "  [ 1.19217634e-02  9.46839061e-03  7.42819607e-02]\n",
      "  [-9.26676393e-03  1.16870869e-02  1.55582607e-01]\n",
      "  [-3.03995013e-02  8.86327960e-03  1.35794491e-01]\n",
      "  [-1.92234218e-02  1.05783064e-02  3.58124822e-03]\n",
      "  [-1.34530067e-02  1.10542309e-02  4.61172312e-02]\n",
      "  [-4.00688201e-02  9.64845810e-03 -3.15431282e-02]\n",
      "  [-2.93090492e-02 -7.02501461e-03  3.96302789e-02]\n",
      "  [-3.05470377e-02  2.49830354e-03  9.33853984e-02]\n",
      "  [ 2.70086527e-03  1.43409893e-02 -1.18455440e-02]\n",
      "  [-1.87911987e-02  1.17422976e-02  4.92394865e-02]\n",
      "  [-2.39410847e-02 -1.78840756e-03  6.72230572e-02]]\n",
      "\n",
      " [[ 1.30186975e-02  1.04627293e-02  1.44109547e-01]\n",
      "  [-1.38785541e-02  2.52426639e-02  2.00544387e-01]\n",
      "  [-2.24354565e-02  2.27728039e-02  1.48234963e-01]\n",
      "  [ 3.66154313e-03  1.35448091e-02  1.64729953e-01]\n",
      "  [-3.20035666e-02  1.86956599e-02  1.49119660e-01]\n",
      "  [-3.28218192e-02 -9.90690663e-04  1.98465407e-01]\n",
      "  [-2.81061828e-02  8.45902227e-03  1.28521696e-01]\n",
      "  [-3.80805582e-02  7.75875710e-03  1.48449555e-01]\n",
      "  [-2.54355073e-02  2.92569771e-03  2.31401861e-01]\n",
      "  [-2.00397372e-02  1.01950206e-03  9.14235562e-02]\n",
      "  [-4.49604392e-02  4.00442258e-03  1.49082080e-01]\n",
      "  [-7.86522031e-03  5.84794767e-03  1.53112300e-02]\n",
      "  [-3.50745618e-02  2.59473547e-03  1.26439840e-01]\n",
      "  [-3.93464863e-02  6.94525801e-03  1.71407819e-01]\n",
      "  [-3.00376415e-02 -7.08173774e-03  9.45351571e-02]\n",
      "  [-4.22707796e-02 -1.95523724e-04  1.78994000e-01]\n",
      "  [-5.45556247e-02 -7.22141936e-04  1.65501252e-01]\n",
      "  [-4.51920331e-02  1.62113924e-03  2.80993670e-01]\n",
      "  [-3.77034545e-02 -1.84383783e-02  2.96466410e-01]\n",
      "  [-5.82037717e-02 -1.15984939e-02  1.90032780e-01]]\n",
      "\n",
      " [[-4.52097207e-02 -2.25280412e-03  1.25022084e-01]\n",
      "  [-1.81916058e-02  1.78115144e-02  1.92156389e-01]\n",
      "  [-2.11923718e-02  1.06109083e-02  1.57601938e-01]\n",
      "  [-1.86515749e-02  4.33134288e-03  2.08315700e-01]\n",
      "  [-2.07741857e-02  1.89220272e-02  4.61040325e-02]\n",
      "  [ 1.40959024e-03 -3.10582295e-03  2.34113157e-01]\n",
      "  [-5.30124158e-02  8.68174620e-03  1.63211465e-01]\n",
      "  [-6.61778450e-03  1.03720911e-02  1.43541068e-01]\n",
      "  [-4.41988409e-02  2.91094184e-05  1.45867959e-01]\n",
      "  [-3.62267792e-02  1.87875517e-03  2.08415553e-01]\n",
      "  [-1.29004121e-02  4.64339368e-03  9.25587416e-02]\n",
      "  [-4.47515100e-02  4.02140431e-03  5.27695715e-02]\n",
      "  [-5.00204563e-02  8.40659812e-03  3.79446030e-01]\n",
      "  [-2.35102177e-02 -3.47136334e-03  9.84366760e-02]\n",
      "  [-4.02596891e-02 -1.04824398e-02  2.59490460e-01]\n",
      "  [-1.50176883e-03  5.28449286e-03  1.63716465e-01]\n",
      "  [-1.55049562e-02 -2.15283725e-02  9.35018808e-02]\n",
      "  [-3.13135684e-02 -8.22763890e-04  1.12419762e-01]\n",
      "  [-4.84134257e-02 -6.54306449e-03  2.17934385e-01]\n",
      "  [-1.88025236e-02 -1.80965010e-02  2.13584140e-01]]\n",
      "\n",
      " [[-3.56656164e-02  4.64711525e-03  5.21692969e-02]\n",
      "  [-2.64079869e-02  2.74225194e-02  6.18996546e-02]\n",
      "  [-2.89583057e-02  9.01144929e-03  1.30575135e-01]\n",
      "  [-1.84896588e-02 -7.90639967e-03  1.22855380e-01]\n",
      "  [-1.53649449e-02  1.87917799e-02  7.22310618e-02]\n",
      "  [-3.12457085e-02  2.13802420e-03  1.90891996e-01]\n",
      "  [-3.77418995e-02  1.88807212e-03  9.08303186e-02]\n",
      "  [-4.06014621e-02  1.30410958e-02  1.91632599e-01]\n",
      "  [-9.98911262e-03  3.79495136e-03  7.85702318e-02]\n",
      "  [-4.68160957e-02 -1.01465918e-03  2.18659014e-01]\n",
      "  [-3.08269262e-02  1.45825557e-03  1.51287600e-01]\n",
      "  [-3.92332375e-02 -1.65221654e-03  1.79435015e-01]\n",
      "  [-3.11203897e-02 -1.08375214e-03  1.64943039e-01]\n",
      "  [-3.86473536e-02  1.60029884e-02  6.36454225e-02]\n",
      "  [-1.95606947e-02  1.21842325e-03  6.26050532e-02]\n",
      "  [-2.34739780e-02 -2.64391862e-03  1.31105572e-01]\n",
      "  [-4.71481979e-02  1.87692791e-03  1.16266899e-01]\n",
      "  [-3.82886231e-02 -8.34841840e-03  7.74664208e-02]\n",
      "  [-1.33678615e-02  9.17152315e-03  2.25504696e-01]\n",
      "  [-9.54183936e-03 -2.79505178e-03  2.85860419e-01]]\n",
      "\n",
      " [[-9.33650136e-03  5.51133789e-03  1.84754878e-01]\n",
      "  [-8.15877318e-03  1.87759772e-02  6.92977011e-03]\n",
      "  [-4.04420644e-02 -4.02453542e-03  1.59867048e-01]\n",
      "  [-1.23003125e-02 -4.34457138e-03  1.16875775e-01]\n",
      "  [-2.84778625e-02  3.68853286e-03  2.37349346e-01]\n",
      "  [ 2.42722929e-02  3.82872857e-03  1.18945278e-01]\n",
      "  [-1.86216831e-03  7.24792853e-03  2.48558640e-01]\n",
      "  [-1.14116073e-02 -7.03092664e-04  2.08302706e-01]\n",
      "  [-3.81396562e-02  2.15527974e-03  1.95206165e-01]\n",
      "  [-3.83769721e-02  1.07834516e-02  2.43802398e-01]\n",
      "  [-9.89988446e-03  3.87521461e-03  1.28231019e-01]\n",
      "  [-2.68013179e-02  1.70458108e-04  1.19146608e-01]\n",
      "  [-3.83531153e-02 -3.50349396e-03  9.89758223e-02]\n",
      "  [-2.98427641e-02  9.84746963e-04  2.19006449e-01]\n",
      "  [-2.05210447e-02  8.55938438e-03  9.55761075e-02]\n",
      "  [-3.69478464e-02 -1.18984319e-02  1.54327750e-01]\n",
      "  [-5.60572445e-02 -8.36995244e-03  1.91246510e-01]\n",
      "  [-2.43327618e-02 -5.54409996e-03  1.40710846e-01]\n",
      "  [-4.97472286e-02 -1.03157647e-02  1.71543717e-01]\n",
      "  [-2.85975039e-02 -2.07378678e-02  1.94480196e-01]]]\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-3.26716453e-02  3.17115337e-04 -3.29637676e-02]\n",
      "  [-4.16804850e-03 -4.02012840e-03  1.29496381e-02]\n",
      "  [-2.76828706e-02 -2.73419544e-03 -5.36202751e-02]\n",
      "  [-1.20693892e-02  6.74363598e-03  3.31882015e-02]\n",
      "  [ 2.37739086e-02 -2.73878500e-03 -5.14974184e-02]\n",
      "  [-8.81293416e-03  2.20286846e-03  1.03507489e-02]\n",
      "  [ 1.78836286e-02 -1.49359107e-02  9.92289409e-02]\n",
      "  [-3.31303477e-03 -4.87927347e-03 -1.44550800e-02]\n",
      "  [-2.09591538e-02  1.13694742e-03  5.38591146e-02]\n",
      "  [-3.59211117e-02 -1.88933127e-02  1.05894983e-01]\n",
      "  [ 1.90675259e-04 -6.00494072e-03  3.37295085e-02]\n",
      "  [-1.46898329e-02  4.61432338e-03 -2.76919827e-02]\n",
      "  [ 1.27524137e-03 -1.88996792e-02  3.21580619e-02]\n",
      "  [-2.49266475e-02  7.84454122e-03  5.96411526e-04]\n",
      "  [-1.86924338e-02 -1.08395740e-02  2.31115818e-02]\n",
      "  [-1.99489444e-02 -1.01694800e-02 -2.35481188e-02]\n",
      "  [-4.97376919e-03 -1.11066364e-02  1.37829661e-01]\n",
      "  [ 5.83037734e-03  6.09044731e-03  6.47884309e-02]\n",
      "  [ 2.07868516e-02 -6.19474798e-04  6.10330626e-02]\n",
      "  [-2.26679295e-02  4.25405800e-04  1.10484868e-01]]\n",
      "\n",
      " [[ 1.41799450e-04  1.15083866e-02  2.27189139e-02]\n",
      "  [-6.02778792e-03 -1.49246305e-03  4.54309657e-02]\n",
      "  [-8.19164515e-03  6.36167824e-05  4.20145765e-02]\n",
      "  [-2.55360603e-02 -5.46777993e-03 -5.26145324e-02]\n",
      "  [-1.39349997e-02  6.68286532e-03  8.09822828e-02]\n",
      "  [-1.23450160e-03  4.39945608e-03 -7.40665942e-04]\n",
      "  [-1.31294131e-02  5.34461066e-03  6.14802167e-02]\n",
      "  [-3.17412615e-03 -4.94586304e-03  3.43685336e-02]\n",
      "  [ 1.69865787e-02 -1.44980103e-03 -7.53807351e-02]\n",
      "  [ 2.05558538e-03 -5.86286187e-05 -1.07372463e-01]\n",
      "  [ 1.85280442e-02  5.42137958e-03  1.14392973e-02]\n",
      "  [-1.39977038e-02 -1.67375095e-02 -7.30122775e-02]\n",
      "  [ 7.37896562e-03  4.71073575e-03 -5.54702505e-02]\n",
      "  [-2.91445851e-02  3.82195786e-03  9.14570838e-02]\n",
      "  [ 4.49539721e-02  9.02481563e-03  8.67376849e-03]\n",
      "  [ 1.47235394e-03 -1.55462604e-02 -5.93876243e-02]\n",
      "  [ 2.45535672e-02  7.22812675e-03  3.31673399e-02]\n",
      "  [ 5.75178862e-03  7.88383279e-03  5.14860600e-02]\n",
      "  [ 1.52979195e-02  1.05013195e-02 -1.66972667e-01]\n",
      "  [ 1.88202262e-02  3.94469500e-03  1.30666256e-01]]\n",
      "\n",
      " [[ 3.13444138e-02  2.25543976e-04  4.45214584e-02]\n",
      "  [-4.35128808e-03  1.19992457e-02  1.88864157e-01]\n",
      "  [ 2.45715380e-02  7.48734549e-03  8.06365982e-02]\n",
      "  [ 1.18425488e-02 -2.37906165e-03 -2.45349612e-02]\n",
      "  [-2.38530338e-02  1.55317048e-02  3.15334946e-02]\n",
      "  [-3.21976542e-02 -2.57169455e-03 -2.55920310e-02]\n",
      "  [ 1.23956203e-02 -3.25049274e-04  2.81464085e-02]\n",
      "  [ 2.70497799e-03  4.81653865e-03 -4.06897143e-02]\n",
      "  [-2.87254453e-02 -8.22397880e-04 -1.02560520e-01]\n",
      "  [-8.13180208e-03 -5.11969440e-03 -7.20430687e-02]\n",
      "  [ 2.35551298e-02  2.34096497e-03 -4.11160477e-02]\n",
      "  [ 2.41549313e-02  1.05339848e-02  6.80443943e-02]\n",
      "  [-1.39981806e-02 -7.00260978e-04  3.56849059e-02]\n",
      "  [-2.01687515e-02  4.83405869e-03 -4.58277240e-02]\n",
      "  [-4.74399328e-03  7.22904690e-04  4.75958884e-02]\n",
      "  [ 1.43564045e-02  1.32561848e-03  5.44040054e-02]\n",
      "  [ 1.29008889e-02 -9.39294323e-03  2.77223885e-02]\n",
      "  [-1.32731199e-02 -7.23562576e-03  1.90822296e-02]\n",
      "  [-2.32779980e-03  3.25705530e-03  3.84502336e-02]\n",
      "  [-4.70834970e-03  1.49996020e-04  4.76404876e-02]]\n",
      "\n",
      " [[ 2.28506327e-03  3.98728717e-03 -5.06364070e-02]\n",
      "  [ 3.39902937e-02  9.07914247e-03 -3.57826129e-02]\n",
      "  [ 3.49238515e-03  4.34300676e-03 -1.20089509e-01]\n",
      "  [-9.89970565e-03 -1.16744107e-02  1.33532770e-02]\n",
      "  [ 2.29137242e-02 -1.42093040e-02 -2.12617218e-04]\n",
      "  [ 1.50988996e-02 -7.63028581e-03 -4.57840785e-02]\n",
      "  [ 1.46504641e-02 -2.69938745e-02  1.04845375e-01]\n",
      "  [ 3.46873701e-02 -8.98995157e-03 -9.69281271e-02]\n",
      "  [-9.90498066e-03 -1.44154485e-03 -7.89503306e-02]\n",
      "  [ 4.79960442e-03 -8.11118539e-03 -1.23375885e-01]\n",
      "  [ 2.20210254e-02 -2.31084786e-03 -1.77896135e-02]\n",
      "  [ 2.49049962e-02 -2.14323439e-02  7.72926211e-03]\n",
      "  [ 3.78698707e-02 -2.11446397e-02 -6.91852123e-02]\n",
      "  [ 1.64687932e-02 -4.14128043e-03 -1.72816575e-01]\n",
      "  [ 1.34108365e-02 -1.50735509e-02 -5.77806905e-02]\n",
      "  [-4.03851271e-03 -2.27546692e-03  1.79740787e-02]\n",
      "  [ 2.00012624e-02 -1.42628532e-02 -9.91173610e-02]\n",
      "  [ 1.34123862e-02 -1.67689044e-02  9.10550877e-02]\n",
      "  [-1.38749182e-02  9.73413698e-04 -3.91801074e-03]\n",
      "  [ 1.05443597e-03 -8.12446419e-03 -1.24353737e-01]]\n",
      "\n",
      " [[-2.28905380e-02 -7.78758805e-03 -7.78908879e-02]\n",
      "  [ 2.75646448e-02 -7.10807741e-04 -3.69001254e-02]\n",
      "  [-2.59050131e-02 -1.58826448e-03 -4.25526723e-02]\n",
      "  [-8.77180696e-03  9.86103900e-03 -1.04540484e-02]\n",
      "  [-8.50617886e-03 -4.33611870e-03  6.29990399e-02]\n",
      "  [-1.91092491e-04  9.31071118e-03  4.60946374e-03]\n",
      "  [-2.38443315e-02  7.70920608e-03 -4.70308289e-02]\n",
      "  [-2.69094110e-03 -1.64936185e-02  8.59406963e-02]\n",
      "  [ 5.38846850e-03  5.28440997e-03 -4.82098460e-02]\n",
      "  [ 1.23527348e-02  1.29465014e-04 -8.77230242e-02]\n",
      "  [-4.33108807e-02 -1.53980404e-03 -5.72917536e-02]\n",
      "  [-8.34518671e-03 -2.14719586e-03  1.17685664e-02]\n",
      "  [ 8.86884332e-03  8.21332447e-03 -1.76385641e-01]\n",
      "  [-2.28634775e-02  5.34966402e-03 -1.12421922e-02]\n",
      "  [-7.13431835e-03  3.19213793e-03 -3.84053811e-02]\n",
      "  [-1.02590919e-02  3.37880664e-03 -1.63673908e-02]\n",
      "  [-3.27059627e-03 -3.50046344e-03 -5.81399165e-02]\n",
      "  [-1.80436969e-02 -3.46075185e-03  2.91331224e-02]\n",
      "  [ 1.46970153e-02  4.16075625e-03  3.64547856e-02]\n",
      "  [-3.18221152e-02  1.19209662e-03  1.46855135e-02]]\n",
      "\n",
      " [[ 1.98662281e-02 -8.81390646e-04 -9.46105793e-02]\n",
      "  [ 8.53335857e-03  7.96969142e-03 -7.65834302e-02]\n",
      "  [ 2.09054351e-03  1.23566575e-02  1.86081797e-01]\n",
      "  [ 3.51969600e-02 -6.20442256e-03 -6.22598343e-02]\n",
      "  [-1.08905137e-02  7.09503889e-04  6.11297265e-02]\n",
      "  [-1.42753124e-05  3.45169939e-03 -6.05607070e-02]\n",
      "  [ 9.41309333e-03 -2.82502547e-03 -1.12146951e-01]\n",
      "  [ 6.15924597e-03 -7.52529316e-03  6.12457693e-02]\n",
      "  [ 1.31374300e-02 -1.02347415e-02  5.97351268e-02]\n",
      "  [ 7.94580579e-03  2.29511373e-02 -1.04950085e-01]\n",
      "  [-9.89368558e-03 -1.53793748e-02  5.14535308e-02]\n",
      "  [-1.93715096e-04 -8.67201015e-04  4.28000838e-02]\n",
      "  [-1.68681145e-03 -1.73144042e-03  9.14292783e-02]\n",
      "  [-5.64464927e-03 -6.40708581e-03  1.13397449e-01]\n",
      "  [ 2.14517713e-02  3.65554169e-03 -1.41355053e-01]\n",
      "  [-8.74245167e-03  8.55052844e-03 -3.75959426e-02]\n",
      "  [-1.77714825e-02  3.14284116e-04  1.84710603e-02]\n",
      "  [-4.92557883e-03 -2.55238265e-03 -1.57407075e-02]\n",
      "  [-9.15059447e-03 -1.29322875e-02 -1.49158780e-02]\n",
      "  [-3.89447808e-03  1.05542941e-02 -4.00414802e-02]]\n",
      "\n",
      " [[-2.40334868e-03  1.78660639e-03 -6.08297288e-02]\n",
      "  [ 1.86348259e-02  3.28773633e-04 -3.95769663e-02]\n",
      "  [ 2.66776085e-02 -2.10306980e-03 -2.09482573e-03]\n",
      "  [ 9.10371542e-04 -8.14825296e-03  9.35105383e-02]\n",
      "  [-2.58329511e-03  8.87692813e-03  2.86805555e-02]\n",
      "  [-3.87008190e-02  1.31984800e-03  3.78340296e-03]\n",
      "  [ 4.58105206e-02 -1.43655315e-02  1.10889390e-01]\n",
      "  [-2.66799331e-03  2.22315919e-03  1.23715233e-02]\n",
      "  [-9.67806578e-03 -2.71881372e-03  7.03285113e-02]\n",
      "  [-2.05630660e-02  3.98822129e-03 -5.17634898e-02]\n",
      "  [-1.77984834e-02  1.83414109e-03  2.60857362e-02]\n",
      "  [ 3.31103802e-05 -1.40399393e-02 -1.21372752e-04]\n",
      "  [-3.87543440e-03 -7.62765110e-03  1.34008080e-01]\n",
      "  [ 1.44623518e-02  1.59916654e-03  1.09833963e-02]\n",
      "  [-1.72840655e-02  6.09529857e-03  5.24642803e-02]\n",
      "  [-1.27747059e-02 -1.55551024e-02  2.66143773e-03]\n",
      "  [ 1.48603618e-02  1.34606902e-02 -5.24593182e-02]\n",
      "  [ 3.88938189e-02  4.73697670e-03 -2.56221201e-02]\n",
      "  [ 1.04647279e-02  7.10586086e-04  2.56248526e-02]\n",
      "  [ 5.89311123e-04  7.07838312e-03 -3.12106963e-03]]\n",
      "\n",
      " [[ 1.16319656e-02  1.03833377e-02 -5.67726381e-02]\n",
      "  [-6.62764907e-03  3.20795551e-03 -7.17555285e-02]\n",
      "  [ 2.96370387e-02  6.37459382e-03  3.92930508e-02]\n",
      "  [ 2.61727870e-02  1.00248139e-02  1.02823779e-01]\n",
      "  [ 2.51562893e-02 -2.32482143e-03 -2.05534436e-02]\n",
      "  [ 6.18439913e-03  7.69525301e-03 -4.37196903e-02]\n",
      "  [ 5.50538301e-03  5.84356487e-04  1.30664453e-01]\n",
      "  [ 3.54404449e-02 -7.84769654e-04 -6.35119900e-02]\n",
      "  [ 4.16398048e-03  1.92532055e-02  2.80470178e-02]\n",
      "  [ 3.91705632e-02  3.65259126e-03 -2.62774024e-02]\n",
      "  [ 1.91811621e-02  2.43882276e-02 -1.16675980e-02]\n",
      "  [ 2.49927044e-02 -6.40453212e-03  5.78665733e-02]\n",
      "  [ 3.05577517e-02 -8.27403180e-03 -8.34091380e-03]\n",
      "  [ 3.61065567e-02 -1.15379170e-02 -6.10965118e-02]\n",
      "  [-3.13118100e-03 -4.62391600e-03  2.96871439e-02]\n",
      "  [ 5.30159473e-03  1.81458704e-03  2.97489911e-02]\n",
      "  [ 4.16550934e-02  5.19435853e-05  1.72433667e-02]\n",
      "  [ 2.33757496e-02  2.69426033e-04  2.48630904e-03]\n",
      "  [-5.69891930e-03 -2.35022418e-03  5.20204306e-02]\n",
      "  [-2.29632556e-02 -8.17042217e-03  1.42442621e-02]]\n",
      "\n",
      " [[-1.88056529e-02  2.10654922e-03 -5.76299205e-02]\n",
      "  [ 8.27783346e-03  5.78908250e-04 -6.25787377e-02]\n",
      "  [ 3.41476500e-02  3.61999497e-04 -1.95274204e-02]\n",
      "  [ 9.03865695e-03 -4.16789390e-03 -1.46673284e-02]\n",
      "  [ 1.16771162e-02  1.39197726e-02  5.00770248e-02]\n",
      "  [-5.36307693e-03 -2.89238803e-03 -8.54124352e-02]\n",
      "  [ 9.18173790e-03  3.44376452e-03  1.43246055e-01]\n",
      "  [ 2.99620628e-03  5.96420094e-03  2.32580155e-02]\n",
      "  [-1.38991475e-02 -3.83727252e-04 -9.63986665e-03]\n",
      "  [ 5.86637855e-03  1.23924902e-02 -6.75389171e-03]\n",
      "  [ 2.25180387e-02  4.24244627e-03  1.26616523e-01]\n",
      "  [ 7.52013922e-03  2.12061200e-02  9.19716209e-02]\n",
      "  [ 7.57622719e-03  3.45693901e-03  2.14551762e-02]\n",
      "  [-1.48141086e-02 -5.76965511e-03 -2.32671201e-03]\n",
      "  [-3.89294624e-02  7.76355155e-03 -2.42268667e-03]\n",
      "  [-5.77768683e-03  3.20990384e-03  1.73295006e-01]\n",
      "  [ 5.70333004e-03  6.79634325e-03  9.49737057e-02]\n",
      "  [-1.89801455e-02  1.20331468e-02  8.77757967e-02]\n",
      "  [-2.13396549e-03  9.18763410e-03  1.11684985e-01]\n",
      "  [ 1.82899535e-02  1.14212651e-02  9.19249654e-02]]\n",
      "\n",
      " [[-5.53628802e-03  1.78265404e-02  3.22209932e-02]\n",
      "  [-3.53780389e-02  7.80188572e-03  9.19142365e-02]\n",
      "  [-2.98111141e-02  9.31522809e-03  2.83245176e-01]\n",
      "  [-1.47247910e-02  2.61181612e-02  1.74715906e-01]\n",
      "  [-1.95631683e-02  1.91131104e-02  2.69640356e-01]\n",
      "  [-1.23834610e-02  1.22619458e-02  1.63780048e-01]\n",
      "  [-1.44384205e-02  3.15802097e-02  1.64545476e-02]\n",
      "  [-3.74732018e-02  1.13600194e-02  2.04807118e-01]\n",
      "  [-4.64883000e-02  9.58062336e-03  1.56873301e-01]\n",
      "  [-1.00698471e-02  1.24132866e-02  1.44179076e-01]\n",
      "  [-2.83687711e-02  1.36349536e-02  2.39122495e-01]\n",
      "  [-4.99796122e-02  1.32089369e-02  1.99790582e-01]\n",
      "  [-4.08424139e-02  1.40522942e-02  6.74062520e-02]\n",
      "  [-3.55301201e-02  1.28279328e-02  1.24418065e-01]\n",
      "  [-6.03696555e-02  1.25448164e-02  3.95668969e-02]\n",
      "  [-4.46254760e-02 -3.37042473e-03  1.25492960e-01]\n",
      "  [-4.95712757e-02  6.07297011e-03  1.72658473e-01]\n",
      "  [-1.80676281e-02  1.83586143e-02  7.33944327e-02]\n",
      "  [-3.73400152e-02  1.35586429e-02  1.17717154e-01]\n",
      "  [-4.15697545e-02  1.22211874e-03  1.32995188e-01]]\n",
      "\n",
      " [[ 2.15437412e-02  1.40595119e-02  1.30554020e-01]\n",
      "  [-7.46768713e-03  2.78696753e-02  1.87661052e-01]\n",
      "  [-1.61137283e-02  2.66113542e-02  1.43064886e-01]\n",
      "  [ 1.05764270e-02  1.73735581e-02  1.55177295e-01]\n",
      "  [-2.67922133e-02  2.23814249e-02  1.48023322e-01]\n",
      "  [-2.43259668e-02  3.77820991e-03  1.90368280e-01]\n",
      "  [-2.05960423e-02  1.26954410e-02  1.29458398e-01]\n",
      "  [-3.00170928e-02  1.08521916e-02  1.36263698e-01]\n",
      "  [-1.83772743e-02  8.43065046e-03  2.31089026e-01]\n",
      "  [-1.40216947e-02  5.75449690e-03  7.44390562e-02]\n",
      "  [-3.88656557e-02  9.73744504e-03  1.40761629e-01]\n",
      "  [-2.39163637e-03  8.71042535e-03  9.44968313e-04]\n",
      "  [-2.83456445e-02  6.03834726e-03  1.15039423e-01]\n",
      "  [-3.47434282e-02  1.09328311e-02  1.77802071e-01]\n",
      "  [-2.21817195e-02 -3.29331681e-03  9.38761160e-02]\n",
      "  [-3.66612077e-02  2.17799470e-03  1.74400777e-01]\n",
      "  [-4.82318848e-02  1.45178847e-03  1.66331917e-01]\n",
      "  [-3.89505327e-02  3.81407514e-03  2.90101916e-01]\n",
      "  [-3.33918631e-02 -1.64006539e-02  2.89626747e-01]\n",
      "  [-5.65587878e-02 -1.07678678e-02  1.90606087e-01]]\n",
      "\n",
      " [[-3.85403633e-02  7.61639327e-04  1.13958254e-01]\n",
      "  [-1.20962262e-02  2.01977193e-02  1.79008275e-01]\n",
      "  [-1.63333118e-02  1.42294671e-02  1.49577767e-01]\n",
      "  [-1.31261647e-02  7.55232759e-03  1.98556542e-01]\n",
      "  [-1.54744983e-02  2.23629475e-02  4.41822484e-02]\n",
      "  [ 1.00646615e-02  1.34538114e-03  2.27095246e-01]\n",
      "  [-4.62843627e-02  1.23775620e-02  1.68989956e-01]\n",
      "  [ 6.57916069e-04  1.34925582e-02  1.33820876e-01]\n",
      "  [-3.77429426e-02  5.29011711e-03  1.49589360e-01]\n",
      "  [-3.11629325e-02  6.49095513e-03  1.90938368e-01]\n",
      "  [-7.18614459e-03  1.01045221e-02  8.54405612e-02]\n",
      "  [-3.99930030e-02  6.84515201e-03  3.64483669e-02]\n",
      "  [-4.35566902e-02  1.18651334e-02  3.70122254e-01]\n",
      "  [-1.85814798e-02  5.65543771e-04  1.06286794e-01]\n",
      "  [-3.27056646e-02 -6.58873469e-03  2.60700583e-01]\n",
      "  [ 4.40999866e-03  7.92309642e-03  1.59473091e-01]\n",
      "  [-9.36916471e-03 -1.86817031e-02  9.45255309e-02]\n",
      "  [-2.45343745e-02  2.16248818e-03  1.24080315e-01]\n",
      "  [-4.41608578e-02 -4.50214371e-03  2.13266730e-01]\n",
      "  [-1.72445774e-02 -1.67909488e-02  2.11754978e-01]]\n",
      "\n",
      " [[-2.88642645e-02  8.24368186e-03  4.14815694e-02]\n",
      "  [-2.12320089e-02  2.96090618e-02  5.25490567e-02]\n",
      "  [-2.44268775e-02  1.22513883e-02  1.26226708e-01]\n",
      "  [-1.30887330e-02 -4.26168740e-03  1.15581542e-01]\n",
      "  [-1.08971894e-02  2.18855869e-02  7.14633241e-02]\n",
      "  [-2.31713057e-02  6.56026043e-03  1.87158018e-01]\n",
      "  [-3.06955576e-02  5.66795841e-03  9.40670669e-02]\n",
      "  [-3.33893299e-02  1.59153491e-02  1.80287197e-01]\n",
      "  [-4.13274765e-03  8.85662809e-03  8.14182237e-02]\n",
      "  [-4.22051996e-02  2.99725123e-03  2.07302660e-01]\n",
      "  [-2.54549086e-02  6.53225183e-03  1.46639556e-01]\n",
      "  [-3.51559669e-02  1.06334314e-03  1.66219860e-01]\n",
      "  [-2.53034532e-02  2.00747326e-03  1.57920510e-01]\n",
      "  [-3.40755582e-02  1.98420212e-02  7.15812594e-02]\n",
      "  [-1.16233826e-02  4.79733758e-03  6.51331097e-02]\n",
      "  [-1.82789862e-02 -3.59360129e-04  1.27709553e-01]\n",
      "  [-4.13675159e-02  4.12139110e-03  1.20128639e-01]\n",
      "  [-3.23842764e-02 -5.74475154e-03  8.80463347e-02]\n",
      "  [-9.91636515e-03  1.09477891e-02  2.21936926e-01]\n",
      "  [-8.90552998e-03 -1.86830573e-03  2.86463648e-01]]\n",
      "\n",
      " [[-7.40739703e-03  7.16422126e-03  1.83374196e-01]\n",
      "  [-7.49436021e-03  1.87259689e-02  4.93862107e-03]\n",
      "  [-3.99860144e-02 -3.31532955e-03  1.61509663e-01]\n",
      "  [-1.13999248e-02 -3.36478278e-03  1.15681514e-01]\n",
      "  [-2.79677212e-02  4.35637869e-03  2.40596607e-01]\n",
      "  [ 2.71226168e-02  4.94970195e-03  1.17560074e-01]\n",
      "  [-6.68644905e-04  9.05982777e-03  2.50974983e-01]\n",
      "  [-7.82608986e-03  6.70198351e-05  2.03671783e-01]\n",
      "  [-3.64950299e-02  4.76562232e-03  1.98938757e-01]\n",
      "  [-3.69677097e-02  1.26409885e-02  2.38682777e-01]\n",
      "  [-8.66365433e-03  6.29490800e-03  1.23996802e-01]\n",
      "  [-2.56583095e-02  1.27200224e-03  1.10086307e-01]\n",
      "  [-3.63938659e-02 -1.58293732e-03  1.00489125e-01]\n",
      "  [-2.73004770e-02  3.25864367e-03  2.21727163e-01]\n",
      "  [-1.63688660e-02  1.06991623e-02  9.85850394e-02]\n",
      "  [-3.39189768e-02 -1.00507420e-02  1.50168672e-01]\n",
      "  [-5.34103811e-02 -6.66677766e-03  1.87007606e-01]\n",
      "  [-2.16935277e-02 -3.06035578e-03  1.45268708e-01]\n",
      "  [-4.88384664e-02 -8.39679502e-03  1.70185000e-01]\n",
      "  [-2.89258957e-02 -1.99139472e-02  1.93840072e-01]]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[-2.06860602e-02  5.85589558e-04 -2.31675804e-02]\n",
      "  [-1.86392665e-03 -1.99022517e-03  9.22472030e-03]\n",
      "  [-1.76111013e-02 -1.10437348e-03 -3.62220630e-02]\n",
      "  [-7.06566870e-03  4.30403277e-03  1.84865817e-02]\n",
      "  [ 1.54720545e-02 -2.03519687e-03 -3.64221558e-02]\n",
      "  [-4.77932394e-03  1.34380534e-03  5.23889810e-03]\n",
      "  [ 1.16280913e-02 -9.56984237e-03  6.34088814e-02]\n",
      "  [-1.53368711e-03 -2.78154761e-03 -1.01417974e-02]\n",
      "  [-1.36537701e-02  9.27302986e-04  3.15551013e-02]\n",
      "  [-2.29023993e-02 -1.13196671e-02  6.64224625e-02]\n",
      "  [ 6.46114349e-05 -3.89432535e-03  1.96113065e-02]\n",
      "  [-7.49191642e-03  3.32957134e-03 -1.70827210e-02]\n",
      "  [ 1.28674507e-03 -1.18169747e-02  2.61113122e-02]\n",
      "  [-1.34803206e-02  4.91898134e-03 -1.63274258e-03]\n",
      "  [-1.14527047e-02 -7.26307184e-03  1.28714219e-02]\n",
      "  [-1.28442645e-02 -5.59651107e-03 -1.48467682e-02]\n",
      "  [-2.86233425e-03 -7.08397478e-03  8.58347639e-02]\n",
      "  [ 3.66953015e-03  3.98425385e-03  4.00204957e-02]\n",
      "  [ 1.29150152e-02 -2.97263265e-04  3.65614444e-02]\n",
      "  [-1.51435733e-02  1.94698572e-04  6.72815815e-02]]\n",
      "\n",
      " [[-3.50514054e-03  7.93618336e-03  1.67267621e-02]\n",
      "  [-4.89288568e-03 -4.56128269e-04  3.11540887e-02]\n",
      "  [-8.21626186e-03 -8.50833952e-04  3.68533507e-02]\n",
      "  [-2.33677477e-02 -5.21158427e-03 -4.01561111e-02]\n",
      "  [-1.28179193e-02  4.46273945e-03  6.78300411e-02]\n",
      "  [-2.91699171e-03  2.70912796e-03  2.55538151e-03]\n",
      "  [-1.19443238e-02  4.00895253e-03  4.53711189e-02]\n",
      "  [-3.62241268e-03 -4.06363234e-03  3.53114530e-02]\n",
      "  [ 1.35266781e-02 -2.20269337e-03 -5.86622953e-02]\n",
      "  [ 1.25497580e-04  4.35505062e-05 -7.69813955e-02]\n",
      "  [ 1.26525462e-02  3.31222266e-03  1.67142786e-02]\n",
      "  [-1.34607553e-02 -1.37883127e-02 -5.03776185e-02]\n",
      "  [ 4.41062450e-03  3.11446749e-03 -3.74348871e-02]\n",
      "  [-2.23382115e-02  1.75708160e-03  7.47789741e-02]\n",
      "  [ 3.26524377e-02  6.72833808e-03  5.42938709e-03]\n",
      "  [-1.71989202e-03 -1.28586628e-02 -4.13090065e-02]\n",
      "  [ 1.45101845e-02  5.02841827e-03  2.31401362e-02]\n",
      "  [ 1.77386403e-03  4.92033456e-03  2.97586508e-02]\n",
      "  [ 8.84893537e-03  6.98508881e-03 -1.27665102e-01]\n",
      "  [ 1.37366056e-02  2.23574229e-03  9.70728844e-02]]\n",
      "\n",
      " [[ 2.26055086e-02  4.36902046e-05  4.97009754e-02]\n",
      "  [-5.49641252e-03  1.14206970e-02  1.63252875e-01]\n",
      "  [ 1.90557837e-02  8.43236595e-03  6.59355223e-02]\n",
      "  [ 8.26522708e-03 -4.75798734e-04 -2.43248660e-02]\n",
      "  [-2.26053596e-02  1.58037934e-02  1.97795630e-02]\n",
      "  [-2.84037292e-02 -9.51592810e-04 -1.52621269e-02]\n",
      "  [ 9.14561749e-03  2.01536715e-03  2.21375488e-02]\n",
      "  [ 1.74853206e-03  8.10326822e-03 -2.98539624e-02]\n",
      "  [-2.41028070e-02  1.04870740e-03 -9.23540741e-02]\n",
      "  [-7.95271993e-03 -8.68723728e-04 -5.38918674e-02]\n",
      "  [ 2.08299756e-02  4.20129951e-03 -3.25197093e-02]\n",
      "  [ 1.85946822e-02  1.30810263e-02  6.87835291e-02]\n",
      "  [-1.42911077e-02  4.40948643e-03  5.27542457e-02]\n",
      "  [-1.66462660e-02  7.52858538e-03 -4.62498926e-02]\n",
      "  [-9.09015536e-03  3.13476240e-03  3.81919406e-02]\n",
      "  [ 1.50926411e-02  4.29454446e-03  5.30534610e-02]\n",
      "  [ 9.86418128e-03 -5.53413853e-03  1.56856366e-02]\n",
      "  [-1.09396875e-02 -3.83368134e-03  1.10179894e-02]\n",
      "  [-2.35673785e-03  5.80478739e-03  3.33652422e-02]\n",
      "  [-3.74525785e-04  3.22775822e-03  3.46081071e-02]]\n",
      "\n",
      " [[-6.87420368e-03  2.17453390e-03 -5.84114194e-02]\n",
      "  [ 3.20514441e-02  8.95595271e-03 -6.82220310e-02]\n",
      "  [-3.52886319e-03  4.87666111e-03 -1.30006656e-01]\n",
      "  [-1.79274976e-02 -8.73548724e-03  1.41955987e-02]\n",
      "  [ 2.11058259e-02 -1.27954371e-02 -2.64573470e-03]\n",
      "  [ 1.46814585e-02 -2.90231965e-03 -3.67490053e-02]\n",
      "  [ 9.73650813e-03 -2.25823559e-02  1.05597772e-01]\n",
      "  [ 2.65226960e-02 -5.38422912e-03 -8.15831646e-02]\n",
      "  [-8.12512636e-03  3.34423874e-03 -6.92980140e-02]\n",
      "  [-2.01749802e-03 -1.54441409e-03 -1.03992455e-01]\n",
      "  [ 1.28608048e-02  2.62579881e-03 -1.77758187e-02]\n",
      "  [ 1.35931075e-02 -1.67075023e-02  3.34909558e-03]\n",
      "  [ 3.50003242e-02 -1.45415021e-02 -6.25455379e-02]\n",
      "  [ 1.56599581e-02  1.22234318e-03 -1.46459028e-01]\n",
      "  [ 7.03319907e-03 -1.07706562e-02 -5.57204559e-02]\n",
      "  [-8.56754184e-03  2.21635215e-04  4.46775928e-03]\n",
      "  [ 1.21420026e-02 -6.63048774e-03 -1.11282445e-01]\n",
      "  [ 1.34321153e-02 -1.18752923e-02  8.43253359e-02]\n",
      "  [-1.17447972e-02  3.76794487e-03 -8.58218409e-03]\n",
      "  [ 8.55356455e-04 -4.14787233e-03 -1.14471599e-01]]\n",
      "\n",
      " [[-2.28266716e-02 -7.45209958e-03 -7.89386556e-02]\n",
      "  [ 3.08165550e-02 -1.08869933e-03 -4.38537486e-02]\n",
      "  [-3.06165814e-02 -3.45238298e-03 -5.18145561e-02]\n",
      "  [-9.24178958e-03  1.04593392e-02 -1.75765529e-02]\n",
      "  [-8.05187225e-03 -4.67207469e-03  6.51490241e-02]\n",
      "  [ 1.31857395e-03  9.80718993e-03  6.98981248e-03]\n",
      "  [-2.20945776e-02  8.43697507e-03 -5.80415502e-02]\n",
      "  [-7.08296895e-03 -1.54352337e-02  8.68081823e-02]\n",
      "  [ 8.05026293e-03  4.48096637e-03 -4.99681383e-02]\n",
      "  [ 1.19130909e-02 -6.06197864e-04 -8.73948410e-02]\n",
      "  [-4.35949564e-02 -3.85919027e-03 -6.96539432e-02]\n",
      "  [-9.36120749e-03 -2.54521705e-03  3.40354815e-03]\n",
      "  [ 7.46962428e-03  9.14110430e-03 -1.80199176e-01]\n",
      "  [-2.31661499e-02  5.17481007e-03 -1.24235060e-02]\n",
      "  [-7.84841180e-03  2.99198367e-03 -4.92966548e-02]\n",
      "  [-1.18865073e-02  1.56315230e-03 -3.52832451e-02]\n",
      "  [-7.90077448e-03 -2.95516290e-03 -6.88849837e-02]\n",
      "  [-1.65868700e-02 -3.82610410e-03  1.66360624e-02]\n",
      "  [ 1.60141289e-02  3.51773202e-03  1.91397592e-02]\n",
      "  [-2.93284953e-02  5.55798411e-04  1.43473670e-02]]\n",
      "\n",
      " [[ 2.17523575e-02  1.48508046e-03 -8.23301449e-02]\n",
      "  [ 9.01028514e-03  9.59396828e-03 -7.73740783e-02]\n",
      "  [-5.01602888e-04  1.12238387e-02  1.83157504e-01]\n",
      "  [ 3.59816253e-02 -6.58034906e-03 -6.99701905e-02]\n",
      "  [-9.47847962e-03  1.03929453e-03  5.77144548e-02]\n",
      "  [ 1.56995654e-03  3.16324458e-03 -5.98398596e-02]\n",
      "  [ 1.18159950e-02 -3.12218070e-03 -1.18344888e-01]\n",
      "  [ 3.42002511e-03 -6.18023798e-03  5.50418645e-02]\n",
      "  [ 1.69750452e-02 -1.09694228e-02  5.57468235e-02]\n",
      "  [ 7.49966502e-03  2.22084858e-02 -1.06898770e-01]\n",
      "  [-8.05428624e-03 -1.76857300e-02  4.18962911e-02]\n",
      "  [ 6.14851713e-04 -1.92006864e-03  3.68512683e-02]\n",
      "  [-2.01338530e-03 -2.03629769e-03  9.22128856e-02]\n",
      "  [-6.25452399e-03 -6.91811182e-03  1.08864047e-01]\n",
      "  [ 2.21197307e-02  3.30288708e-03 -1.54052109e-01]\n",
      "  [-7.27352500e-03  7.45549146e-03 -5.40502109e-02]\n",
      "  [-2.05014646e-02  3.23068351e-04  1.02413744e-02]\n",
      "  [-3.41507792e-03 -3.85263935e-03 -2.80890428e-02]\n",
      "  [-8.90162587e-03 -1.36855431e-02 -3.31142284e-02]\n",
      "  [-5.03987074e-04  9.69418418e-03 -4.48027104e-02]]\n",
      "\n",
      " [[-1.95950270e-04  3.83881014e-03 -5.77396862e-02]\n",
      "  [ 1.90910399e-02  2.22409889e-03 -4.43895981e-02]\n",
      "  [ 2.73170471e-02 -2.74768658e-03 -1.01601491e-02]\n",
      "  [ 8.93384218e-04 -7.79593922e-03  9.03191790e-02]\n",
      "  [-3.40312719e-04  9.04720649e-03  2.41360776e-02]\n",
      "  [-3.67235243e-02  1.59770623e-03  9.82848927e-04]\n",
      "  [ 4.72819209e-02 -1.45064071e-02  1.11668780e-01]\n",
      "  [-3.50117683e-04  3.05720512e-03  1.64779462e-03]\n",
      "  [-5.81514835e-03 -2.06086040e-03  6.58954754e-02]\n",
      "  [-1.90357566e-02  3.46750394e-03 -5.35423607e-02]\n",
      "  [-1.63703263e-02  1.31063536e-03  1.42192375e-02]\n",
      "  [-1.90168619e-04 -1.39042549e-02  5.50550595e-03]\n",
      "  [-1.05893612e-03 -6.86832517e-03  1.37802050e-01]\n",
      "  [ 1.51878893e-02  1.11221895e-03  9.84912366e-03]\n",
      "  [-1.75909698e-02  6.72916230e-03  4.85051535e-02]\n",
      "  [-1.30504072e-02 -1.62437875e-02 -7.92619400e-03]\n",
      "  [ 1.43323243e-02  1.40259974e-02 -5.57572432e-02]\n",
      "  [ 3.92555594e-02  3.23291682e-03 -3.65244523e-02]\n",
      "  [ 1.10470057e-02  1.48376450e-04  1.54673550e-02]\n",
      "  [ 1.72314048e-03  7.23783206e-03 -4.76056989e-03]]\n",
      "\n",
      " [[-2.19541788e-03  4.81065270e-03 -5.68058975e-02]\n",
      "  [-2.16602087e-02  3.81764956e-03 -2.61637103e-02]\n",
      "  [ 1.28765106e-02  6.49071950e-03  9.44604650e-02]\n",
      "  [ 1.14444792e-02  1.06995534e-02  1.64937779e-01]\n",
      "  [ 1.20646656e-02 -3.14198993e-03  2.11487897e-02]\n",
      "  [-6.03374839e-03  8.90311785e-03  9.93882492e-03]\n",
      "  [-5.06651402e-03 -4.04335558e-04  1.92787781e-01]\n",
      "  [ 2.21623480e-02  4.57271934e-04  7.12230802e-03]\n",
      "  [-8.05616379e-03  1.96208525e-02  1.08056575e-01]\n",
      "  [ 2.43120790e-02  6.93259574e-03  6.28424063e-02]\n",
      "  [ 2.26306915e-03  2.58377194e-02  7.11190328e-02]\n",
      "  [ 8.60050321e-03 -1.18642487e-03  1.56009912e-01]\n",
      "  [ 1.57653689e-02 -6.57501817e-03  9.58421677e-02]\n",
      "  [ 1.94280446e-02 -7.66206160e-03  3.14815119e-02]\n",
      "  [-2.76449621e-02 -2.55672820e-03  1.26073346e-01]\n",
      "  [-1.56366229e-02  7.89895654e-03  1.32391959e-01]\n",
      "  [ 1.86068118e-02  5.89367468e-03  1.29396379e-01]\n",
      "  [ 1.10650063e-03  6.29512314e-03  1.07256591e-01]\n",
      "  [-2.67716944e-02  1.59035623e-03  1.87670007e-01]\n",
      "  [-4.58233953e-02 -1.85573660e-03  1.27867043e-01]]\n",
      "\n",
      " [[-1.39707327e-02  7.43511505e-03 -6.14677519e-02]\n",
      "  [ 1.53349042e-02  1.30672101e-03 -9.27594006e-02]\n",
      "  [ 4.04547751e-02  6.24874607e-04 -3.06871235e-02]\n",
      "  [ 1.55433714e-02 -2.50459462e-03 -2.86703408e-02]\n",
      "  [ 2.17766464e-02  1.43254120e-02  4.73402441e-02]\n",
      "  [ 1.31890178e-03  2.21106037e-03 -9.20163915e-02]\n",
      "  [ 1.86203420e-02  6.67045172e-03  1.10865682e-01]\n",
      "  [ 3.98606062e-03  9.01825167e-03  1.37180239e-02]\n",
      "  [-6.63936138e-03  4.45883069e-03 -4.08243388e-02]\n",
      "  [ 7.76642561e-03  1.60804447e-02 -2.27634311e-02]\n",
      "  [ 2.30115950e-02  8.19340348e-03  1.18191302e-01]\n",
      "  [ 5.12623787e-03  2.31660474e-02  8.74611735e-02]\n",
      "  [ 1.48428082e-02  8.95655528e-03 -5.72624803e-03]\n",
      "  [-1.11683607e-02  1.15333498e-03 -2.20047235e-02]\n",
      "  [-3.33729237e-02  1.39959324e-02 -9.70129669e-03]\n",
      "  [-2.44289637e-04  8.04376230e-03  1.23369083e-01]\n",
      "  [ 1.38500333e-02  1.40216472e-02  6.30614758e-02]\n",
      "  [-9.09563899e-03  1.58697292e-02  2.00529397e-02]\n",
      "  [ 1.13757849e-02  1.61671713e-02  4.65311855e-02]\n",
      "  [ 2.69920826e-02  1.85359102e-02  5.85686415e-02]]\n",
      "\n",
      " [[-5.14027476e-03  2.23654658e-02 -1.88823491e-02]\n",
      "  [-9.00959969e-03  1.42469164e-03 -4.22270447e-02]\n",
      "  [-4.47148085e-03  2.41716113e-03  1.63305998e-01]\n",
      "  [ 1.27386451e-02  2.07201522e-02  4.90027517e-02]\n",
      "  [ 1.15310848e-02  1.20097464e-02  1.58154219e-01]\n",
      "  [ 1.49482489e-02  9.76923294e-03  5.04337847e-02]\n",
      "  [ 1.80099010e-02  2.71755718e-02 -1.29290432e-01]\n",
      "  [-1.30483806e-02  6.88242540e-03  9.06198919e-02]\n",
      "  [-1.35637522e-02  5.96819539e-03  1.91442370e-02]\n",
      "  [ 1.69663131e-02  8.13707523e-03  2.17488855e-02]\n",
      "  [-1.82834268e-03  9.60524101e-03  1.24664307e-01]\n",
      "  [-2.38369852e-02  6.91460166e-03  9.12131071e-02]\n",
      "  [-6.70719147e-03  1.11746443e-02 -6.03457168e-02]\n",
      "  [-5.03230095e-03  1.15629463e-02  6.76719844e-03]\n",
      "  [-2.81800777e-02  1.06808655e-02 -6.88123107e-02]\n",
      "  [-1.56414658e-02 -6.91058114e-03 -1.72679722e-02]\n",
      "  [-1.80398226e-02  5.74669801e-03  4.96804863e-02]\n",
      "  [ 1.46045983e-02  1.37928287e-02 -7.47137517e-02]\n",
      "  [-2.24414468e-03  1.26182986e-02 -1.80004984e-02]\n",
      "  [-1.17150247e-02  2.12639570e-04  2.27355361e-02]]\n",
      "\n",
      " [[ 3.07352841e-02  1.46385822e-02  1.07989714e-01]\n",
      "  [ 7.55339861e-04  2.27247179e-02  9.72050875e-02]\n",
      "  [-1.79155767e-02  2.18275189e-02  1.04765974e-01]\n",
      "  [ 1.13416910e-02  1.76789444e-02  1.15437515e-01]\n",
      "  [-1.90464109e-02  1.07055865e-02  1.68529481e-01]\n",
      "  [-2.19317228e-02  4.60065342e-03  1.29730195e-01]\n",
      "  [-1.64720416e-03  7.22295418e-03  1.12174720e-01]\n",
      "  [-3.01338583e-02  4.91989963e-03  1.09993652e-01]\n",
      "  [-1.17305815e-02  7.70884380e-03  2.32409596e-01]\n",
      "  [-7.68640637e-03  4.49834764e-03  6.10975623e-02]\n",
      "  [-4.48460430e-02  5.03816642e-03  1.42109066e-01]\n",
      "  [ 7.08055496e-03  7.04591163e-03  1.74784549e-02]\n",
      "  [-1.89450085e-02 -1.22086518e-03  9.21893120e-03]\n",
      "  [-2.88794041e-02  9.10984352e-03  1.71144769e-01]\n",
      "  [-2.59802043e-02 -3.41782905e-03  1.55775771e-02]\n",
      "  [-5.04571497e-02 -9.31793824e-04  1.51990861e-01]\n",
      "  [-6.11509979e-02  3.86877544e-03  1.60976589e-01]\n",
      "  [-3.66268754e-02 -1.27307139e-04  2.61250585e-01]\n",
      "  [-2.87813246e-02 -2.18795650e-02  2.52744675e-01]\n",
      "  [-6.20844960e-02 -1.04330946e-02  1.03812888e-01]]\n",
      "\n",
      " [[-2.87497640e-02  1.57910585e-03  6.86121136e-02]\n",
      "  [-3.39239836e-03  1.34991128e-02  7.71346390e-02]\n",
      "  [-1.54834390e-02  8.86468031e-03  9.90561172e-02]\n",
      "  [-1.04715526e-02  7.19897635e-03  1.52250350e-01]\n",
      "  [-4.22737002e-03  1.03492513e-02  4.45273966e-02]\n",
      "  [ 1.05018914e-02  2.08074041e-03  1.57777131e-01]\n",
      "  [-2.50030607e-02  6.26030192e-03  1.34743989e-01]\n",
      "  [ 1.99034810e-03  7.72889704e-03  9.50029120e-02]\n",
      "  [-2.70283371e-02  5.43120690e-03  1.35161102e-01]\n",
      "  [-2.20249444e-02  4.57675569e-03  1.67723954e-01]\n",
      "  [-1.15080774e-02  6.03036024e-03  7.97929838e-02]\n",
      "  [-2.81988382e-02  5.33994101e-03  4.94737327e-02]\n",
      "  [-3.07742655e-02  4.42673452e-03  2.51968116e-01]\n",
      "  [-1.11704469e-02  4.24982980e-04  8.06841552e-02]\n",
      "  [-3.42038274e-02 -6.31929561e-03  1.66387364e-01]\n",
      "  [-6.98885322e-03  5.37449587e-03  1.23518594e-01]\n",
      "  [-1.90594792e-02 -1.48711652e-02  7.69866332e-02]\n",
      "  [-1.93798244e-02 -7.87843950e-04  8.08805153e-02]\n",
      "  [-3.38171721e-02 -7.24428147e-03  1.65635034e-01]\n",
      "  [-1.95973217e-02 -1.37805287e-02  1.23073421e-01]]\n",
      "\n",
      " [[-1.93862319e-02  9.43797268e-03 -1.13352537e-02]\n",
      "  [-1.20839775e-02  2.31661852e-02 -5.58075905e-02]\n",
      "  [-2.30370760e-02  7.15597719e-03  6.74580932e-02]\n",
      "  [-1.10955834e-02 -4.79052216e-03  6.51610792e-02]\n",
      "  [ 1.41978264e-03  9.38464422e-03  6.28477484e-02]\n",
      "  [-2.29728818e-02  7.05212727e-03  1.09650880e-01]\n",
      "  [-1.01487190e-02 -1.50225498e-03  5.20064682e-02]\n",
      "  [-3.22855562e-02  9.60066170e-03  1.36596024e-01]\n",
      "  [ 8.31434131e-03  8.38649087e-03  6.10675365e-02]\n",
      "  [-3.22831720e-02  1.16989017e-04  1.76661760e-01]\n",
      "  [-3.02760005e-02  1.49693899e-03  1.35278374e-01]\n",
      "  [-2.28626132e-02 -1.77841447e-03  1.75374210e-01]\n",
      "  [-1.12163723e-02 -6.63014315e-03  3.32325548e-02]\n",
      "  [-2.53860950e-02  1.86355300e-02  3.68964598e-02]\n",
      "  [-1.24666691e-02  3.95802036e-03 -3.86368707e-02]\n",
      "  [-2.87894309e-02 -4.06633690e-03  8.26849639e-02]\n",
      "  [-5.00001162e-02  7.67468568e-03  9.24202129e-02]\n",
      "  [-2.63845921e-02 -9.98724625e-03  3.62764224e-02]\n",
      "  [ 1.60980225e-03  7.32809724e-03  1.68225855e-01]\n",
      "  [-9.96607542e-03  4.68771905e-04  1.89295530e-01]]\n",
      "\n",
      " [[ 5.37431240e-03  8.68859887e-03  1.12115525e-01]\n",
      "  [ 5.53601980e-03  1.30732628e-02 -1.14354044e-01]\n",
      "  [-3.53771895e-02 -7.17283227e-03  9.34564546e-02]\n",
      "  [-6.17650151e-03 -2.41059437e-03  5.58712706e-02]\n",
      "  [-1.08979493e-02 -6.69950806e-03  2.20523447e-01]\n",
      "  [ 3.08732688e-02  7.56251253e-03  3.40620428e-02]\n",
      "  [ 2.45007277e-02  3.27609107e-03  2.00148866e-01]\n",
      "  [-3.23951244e-03 -4.70564328e-03  1.48468733e-01]\n",
      "  [-1.91356987e-02  6.51452690e-03  1.69758216e-01]\n",
      "  [-2.30698884e-02  1.10811731e-02  2.02492490e-01]\n",
      "  [-9.25877690e-03  3.43197212e-03  1.10685222e-01]\n",
      "  [-1.02206171e-02 -2.01705843e-04  1.10793546e-01]\n",
      "  [-1.76746398e-02 -8.59992765e-03 -3.77952307e-02]\n",
      "  [-1.67793632e-02  3.76718864e-03  1.82848215e-01]\n",
      "  [-1.30204558e-02  1.13939643e-02 -8.83461535e-03]\n",
      "  [-4.16753888e-02 -1.29592530e-02  9.98755395e-02]\n",
      "  [-5.92921525e-02 -1.69831142e-03  1.58853680e-01]\n",
      "  [-1.25983953e-02 -6.52233325e-03  9.17634740e-02]\n",
      "  [-3.31215113e-02 -1.09665804e-02  1.08501479e-01]\n",
      "  [-2.78019905e-02 -1.59344003e-02  9.75489020e-02]]]\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 14 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[ 3.48900259e-03 -4.19419259e-04  3.05262953e-03]\n",
      "  [-2.31188536e-03  5.62507659e-04  1.14685893e-02]\n",
      "  [ 1.23733282e-03 -1.23716891e-05  1.14596412e-02]\n",
      "  [-1.58116221e-03 -1.11636892e-03  3.96019220e-03]\n",
      "  [-5.03182411e-03 -3.72875482e-04  5.48620522e-03]\n",
      "  [-2.16180086e-03 -1.07328594e-03  1.26291066e-03]\n",
      "  [-3.68013978e-03  5.72342426e-04 -1.40582770e-03]\n",
      "  [-1.41850114e-03 -4.69423831e-05  7.79088587e-03]\n",
      "  [-1.83641911e-04 -1.03538856e-03  1.04691833e-03]\n",
      "  [ 8.67098570e-04  6.36234879e-04 -3.18397582e-03]\n",
      "  [-2.20739841e-03 -3.36423516e-04 -3.71649861e-04]\n",
      "  [-4.09662724e-04 -8.68614763e-04  7.66011328e-03]\n",
      "  [-2.25615501e-03  9.34306532e-04  4.71352786e-03]\n",
      "  [ 3.83108854e-04 -2.14836746e-03  2.10958719e-03]\n",
      "  [-2.97987461e-03 -6.29644841e-04  6.20598346e-03]\n",
      "  [-9.20355320e-04 -1.44273043e-04  1.15999877e-02]\n",
      "  [-2.06649303e-03 -5.59616834e-04 -7.13802129e-03]\n",
      "  [-5.53888083e-03 -2.50234082e-03 -3.00993770e-03]\n",
      "  [-5.51897287e-03 -2.74722278e-03  8.02699476e-03]\n",
      "  [-1.25920773e-03 -1.80928782e-03 -4.20758128e-03]]\n",
      "\n",
      " [[ 2.37467885e-03 -7.73940235e-04 -7.28786737e-03]\n",
      "  [ 2.53710151e-03 -7.77877867e-05 -3.69654596e-03]\n",
      "  [ 1.51196122e-03 -2.98302621e-04 -1.24491155e-02]\n",
      "  [ 3.49485874e-03  7.91721046e-04 -5.69053739e-03]\n",
      "  [ 3.97068262e-03  7.81379640e-05 -1.25793964e-02]\n",
      "  [ 1.49464607e-03  1.06884539e-03 -8.20381194e-03]\n",
      "  [ 6.57790899e-03  1.27102435e-03 -8.82967561e-03]\n",
      "  [ 2.37873197e-03  7.86315650e-04 -1.26989372e-02]\n",
      "  [ 1.43840909e-03  1.62324309e-03 -1.18885599e-02]\n",
      "  [ 2.60359049e-03  9.63360071e-05 -1.06124245e-02]\n",
      "  [ 4.82219458e-03  4.45324928e-04 -8.94567743e-03]\n",
      "  [ 4.38669324e-03  2.08456628e-03 -1.26911625e-02]\n",
      "  [ 3.97953391e-03  1.02548860e-03 -1.72619708e-02]\n",
      "  [ 4.46268916e-03  3.70489061e-03 -8.67337361e-03]\n",
      "  [ 6.33668900e-03  2.58641876e-03 -9.89770889e-03]\n",
      "  [ 5.48329949e-03  2.70007923e-03 -9.86988284e-03]\n",
      "  [ 4.10014391e-03  3.24072689e-03 -5.27010113e-03]\n",
      "  [ 5.40670753e-03  5.17806225e-03 -1.95067003e-03]\n",
      "  [ 7.36275315e-03  4.17207927e-03 -3.07198614e-03]\n",
      "  [ 6.30256534e-03  5.23597561e-03 -4.00105119e-03]]\n",
      "\n",
      " [[-1.74912810e-03  6.67400658e-04  1.10499822e-02]\n",
      "  [-3.31932306e-03  1.25913974e-03  9.36675817e-03]\n",
      "  [ 5.49018383e-04  1.54867303e-03 -1.81718171e-03]\n",
      "  [ 6.40749931e-05  7.23380595e-04 -8.26699659e-03]\n",
      "  [-6.52909279e-04  1.31212454e-03  5.21156937e-04]\n",
      "  [-2.38800049e-03  2.45635398e-04 -1.74022838e-03]\n",
      "  [-7.40468502e-04 -4.63634729e-04  4.11173329e-03]\n",
      "  [ 2.02497840e-03  1.26467180e-03 -3.02137434e-03]\n",
      "  [ 5.01036644e-04  8.62174667e-04 -8.74655694e-03]\n",
      "  [-1.81999803e-03 -5.98507468e-04 -7.07899407e-03]\n",
      "  [ 1.49047375e-03  1.16751390e-03 -7.95854628e-03]\n",
      "  [ 7.45207071e-04  1.07922405e-03  5.30971959e-03]\n",
      "  [ 4.72784042e-04 -2.73783226e-04 -1.24720111e-03]\n",
      "  [-4.01318073e-04  5.99505845e-04 -1.35524198e-02]\n",
      "  [ 5.88923693e-04  3.88411805e-04 -3.74056399e-05]\n",
      "  [ 2.04315782e-03  1.23352092e-03 -1.81272998e-03]\n",
      "  [ 9.91404057e-04 -3.00405547e-04  8.58515128e-03]\n",
      "  [-4.53919172e-04  6.81004487e-04  6.14232570e-03]\n",
      "  [ 1.38193369e-03  1.06830057e-03 -5.27560711e-04]\n",
      "  [ 2.51391530e-03  1.26954634e-03  1.03757307e-02]]\n",
      "\n",
      " [[ 2.49534845e-04  5.09544276e-04 -6.20592386e-03]\n",
      "  [-1.43626332e-03 -4.51534986e-04 -1.48804802e-02]\n",
      "  [ 3.68142128e-03  1.13227032e-03 -2.98991427e-03]\n",
      "  [ 4.53299284e-03 -4.82385978e-04 -2.51255594e-02]\n",
      "  [ 4.17795777e-03 -6.58391044e-04 -1.21834725e-02]\n",
      "  [ 3.89826298e-03  5.30015677e-05 -1.49755189e-02]\n",
      "  [ 3.54859233e-03 -2.27907486e-03 -8.38600006e-03]\n",
      "  [ 2.93460488e-03 -9.49833542e-04 -1.61676798e-02]\n",
      "  [ 6.51773810e-03 -1.08998641e-03 -2.03514956e-02]\n",
      "  [ 3.15445662e-03 -1.23115070e-03 -1.96085908e-02]\n",
      "  [ 2.77993083e-03 -3.23005021e-04 -1.31888250e-02]\n",
      "  [ 4.08095121e-03 -1.05242431e-03 -4.77380399e-03]\n",
      "  [ 5.96836209e-03 -1.41993910e-03 -2.58916132e-02]\n",
      "  [ 3.58137488e-03 -1.81806460e-03 -3.26505601e-02]\n",
      "  [ 1.44684315e-03 -7.10014254e-04 -1.33601241e-02]\n",
      "  [ 6.40758872e-03  1.31863169e-03 -1.11520542e-02]\n",
      "  [ 6.09421730e-03 -7.92285427e-04 -9.42303147e-03]\n",
      "  [ 3.48237157e-03 -1.07580423e-03 -2.19544023e-03]\n",
      "  [ 3.18285823e-03 -9.93654132e-04 -1.68505590e-02]\n",
      "  [ 3.43739986e-03  1.63033605e-04 -1.08276904e-02]]\n",
      "\n",
      " [[ 2.75918841e-03 -6.84281159e-03 -2.34193224e-02]\n",
      "  [-1.52915716e-03 -2.94543616e-03 -1.37325544e-02]\n",
      "  [-1.39167905e-03 -7.22266734e-04 -3.58037092e-03]\n",
      "  [-1.67411566e-03 -1.10617653e-03 -1.50549151e-02]\n",
      "  [-1.60336494e-04 -1.81990862e-03 -3.68246064e-03]\n",
      "  [ 1.17483735e-03  1.47245824e-04 -7.45702069e-03]\n",
      "  [-2.51522660e-03 -1.94420293e-03  6.97022490e-03]\n",
      "  [ 8.70347023e-04 -1.88909471e-05 -6.73702359e-03]\n",
      "  [ 2.48605013e-03  1.29733235e-05 -1.46178603e-02]\n",
      "  [-2.78031826e-03  3.57804820e-04 -1.09017789e-02]\n",
      "  [-2.46709585e-03  1.51446089e-03 -7.26029277e-03]\n",
      "  [ 3.11136246e-04  1.29093044e-03 -2.60998914e-03]\n",
      "  [ 1.13758445e-03  1.04647130e-04 -1.60325449e-02]\n",
      "  [-1.10298395e-03  3.50998715e-04 -2.27150302e-02]\n",
      "  [-1.80929899e-04  8.23777169e-04 -2.08309591e-02]\n",
      "  [ 1.28507614e-03  3.51144001e-04 -1.82801280e-02]\n",
      "  [ 2.28375196e-03  1.71696767e-04 -1.76709816e-02]\n",
      "  [ 1.37597322e-03 -6.07866794e-04  8.78692605e-04]\n",
      "  [ 1.20878220e-04  8.41094181e-04 -1.87372416e-02]\n",
      "  [ 2.24867463e-03  8.53853300e-04 -8.83376319e-03]]\n",
      "\n",
      " [[-1.26588345e-03  1.00510009e-03 -1.09649934e-02]\n",
      "  [-1.26478076e-03  4.23457474e-04 -1.70566253e-02]\n",
      "  [-1.08906627e-03  1.82805583e-03 -4.58676368e-05]\n",
      "  [-1.37865543e-03  2.00384669e-03 -5.24441339e-03]\n",
      "  [ 1.79183483e-03  4.83090058e-04 -4.82038967e-03]\n",
      "  [ 1.75598264e-03  1.64494477e-03 -5.12642786e-03]\n",
      "  [-1.73437595e-03 -1.18454173e-03  8.87583755e-03]\n",
      "  [ 5.64411283e-03 -3.17383558e-04 -1.39863538e-02]\n",
      "  [ 4.63390350e-03  5.26929274e-04 -1.26509713e-02]\n",
      "  [-2.31322646e-03  5.68430871e-04 -9.22138989e-03]\n",
      "  [-1.87596679e-03  1.11399963e-03  3.23053263e-03]\n",
      "  [-3.25262547e-04 -2.86336988e-04  3.87959508e-03]\n",
      "  [ 1.39269233e-03 -5.93446195e-04 -1.19962823e-02]\n",
      "  [ 2.69353390e-04  6.28331676e-04 -1.96798351e-02]\n",
      "  [-2.67356634e-04  6.97219744e-04 -2.43571624e-02]\n",
      "  [ 2.79825926e-03  1.62185915e-03 -5.62676974e-03]\n",
      "  [ 2.48849392e-05 -1.27369538e-04 -7.42747448e-04]\n",
      "  [-1.81239843e-03 -4.61634248e-04  1.00034624e-02]\n",
      "  [-1.84774399e-03  9.53620300e-04 -1.06123779e-02]\n",
      "  [ 8.43226910e-04  1.77966431e-03 -3.53846024e-03]]\n",
      "\n",
      " [[-2.18531489e-03  6.29624352e-04 -1.13119902e-02]\n",
      "  [-4.30181623e-03  1.23940408e-05 -1.93384718e-02]\n",
      "  [-1.32694840e-03  2.07181834e-03 -3.33742797e-03]\n",
      "  [ 3.31133604e-04  2.11869925e-03 -2.66663581e-02]\n",
      "  [ 2.17097998e-03  1.22278556e-03 -7.53523037e-03]\n",
      "  [ 2.98023224e-06  2.61892751e-03 -1.79229211e-02]\n",
      "  [ 1.48436427e-03  2.37226486e-04  5.82219847e-03]\n",
      "  [ 6.66597486e-03 -4.35652211e-04 -4.76836227e-03]\n",
      "  [ 5.60021400e-03  3.27700749e-04 -1.88205969e-02]\n",
      "  [-3.23274732e-03  1.90412067e-03 -1.34003256e-02]\n",
      "  [-1.63492560e-03  1.09959580e-03  8.03957880e-03]\n",
      "  [-2.13801861e-04  5.49206510e-04  1.95069425e-03]\n",
      "  [ 1.80518627e-03  7.06139952e-04 -1.34094879e-02]\n",
      "  [ 1.40404701e-03  1.50165707e-03 -8.67492519e-03]\n",
      "  [-1.59633160e-03  2.18338892e-03 -1.32528003e-02]\n",
      "  [ 1.96295977e-03  3.79885733e-03 -5.39077446e-04]\n",
      "  [ 3.53491306e-03  1.31144188e-03  1.17699150e-02]\n",
      "  [ 2.17020512e-04  2.04877183e-03  4.99365851e-03]\n",
      "  [-6.24418259e-04  1.03675947e-03 -5.16148377e-03]\n",
      "  [ 8.93563032e-04  2.13542022e-03 -1.88746862e-03]]\n",
      "\n",
      " [[ 1.21679902e-03  1.53326243e-03 -1.94138195e-03]\n",
      "  [ 2.85029411e-04  2.98591144e-03 -6.99010678e-03]\n",
      "  [ 4.05746698e-03  2.54653580e-03 -1.11073069e-03]\n",
      "  [ 3.68624926e-03  2.89249606e-03 -7.49731436e-03]\n",
      "  [ 8.69870186e-04  2.00595707e-03 -9.17274691e-03]\n",
      "  [ 5.75280190e-03  2.08836980e-03 -4.19252738e-03]\n",
      "  [ 3.11416388e-03  1.23284571e-03 -2.61480361e-03]\n",
      "  [ 4.40767407e-03  1.00729428e-03  8.09393823e-03]\n",
      "  [ 7.23218918e-03  4.49161977e-04 -3.74414772e-03]\n",
      "  [ 3.98278236e-04  4.44117002e-03 -1.37959830e-02]\n",
      "  [-4.00155783e-04  3.16867605e-04  8.27485323e-03]\n",
      "  [ 7.53968954e-04  2.87029427e-03  3.77197564e-03]\n",
      "  [ 2.65651941e-03  1.43924821e-03  1.61701441e-03]\n",
      "  [-3.01831961e-03  1.80845335e-03 -2.54817680e-03]\n",
      "  [ 1.48966908e-03  9.72207636e-04 -1.39229558e-02]\n",
      "  [ 6.80714846e-04  2.79559754e-03  2.79427320e-03]\n",
      "  [-1.52501464e-03  2.58695334e-03  1.11945570e-02]\n",
      "  [ 2.08944082e-04  1.63167343e-03  1.96619853e-02]\n",
      "  [ 1.40252709e-03  5.94812445e-04  1.08223669e-02]\n",
      "  [ 2.93308496e-03  2.06416752e-03  5.92552871e-03]]\n",
      "\n",
      " [[ 2.77013779e-02 -2.32201163e-03 -1.07844815e-01]\n",
      "  [ 1.57432258e-02  1.91894639e-03 -4.32937294e-02]\n",
      "  [ 1.73524022e-02  4.13173251e-03 -3.26218307e-02]\n",
      "  [ 1.67200863e-02  3.82901542e-03 -2.74830163e-02]\n",
      "  [ 1.86036527e-02  3.81836947e-03 -3.00622433e-02]\n",
      "  [ 2.03408301e-02  4.77202423e-03 -2.30169445e-02]\n",
      "  [ 1.63664222e-02  5.30219637e-03 -1.83009356e-02]\n",
      "  [ 1.59354508e-02  5.60404453e-03 -9.20300186e-03]\n",
      "  [ 2.07093656e-02  5.83598483e-03 -9.44598019e-03]\n",
      "  [ 1.28626525e-02  9.20045003e-03 -9.65633988e-03]\n",
      "  [ 9.59265232e-03  8.13234411e-03  1.85252726e-03]\n",
      "  [ 1.27048790e-02  1.02894045e-02 -3.74943018e-04]\n",
      "  [ 1.34232640e-02  1.10328402e-02  1.06484145e-02]\n",
      "  [ 6.74873590e-03  1.19723529e-02  1.82190835e-02]\n",
      "  [ 8.60103965e-03  1.25762150e-02  2.25312263e-02]\n",
      "  [ 1.00549757e-02  1.44971302e-02  1.59089863e-02]\n",
      "  [ 8.47649574e-03  1.40476618e-02  2.14916170e-02]\n",
      "  [ 9.89705324e-03  1.39789758e-02  2.88851708e-02]\n",
      "  [ 1.16369426e-02  1.29993660e-02  1.57488137e-02]\n",
      "  [ 1.00528896e-02  1.51531771e-02  3.36819142e-02]]\n",
      "\n",
      " [[-3.73142958e-03  6.93304557e-03  2.38713473e-02]\n",
      "  [-5.56978583e-03  6.82289712e-03  1.68695897e-02]\n",
      "  [-3.30606103e-03  8.24299082e-03  2.56102085e-02]\n",
      "  [-2.21180916e-03  8.12108070e-03  2.28861570e-02]\n",
      "  [-5.73396683e-05  7.62099633e-03  1.66897476e-02]\n",
      "  [ 1.15761161e-03  7.99022336e-03  2.66240537e-02]\n",
      "  [-1.91089511e-03  8.39436240e-03  2.67538428e-02]\n",
      "  [-2.21398473e-03  8.07324890e-03  3.03809792e-02]\n",
      "  [ 5.43299317e-03  7.36582698e-03  2.39220113e-02]\n",
      "  [-2.91529298e-03  9.07911733e-03  2.31632590e-02]\n",
      "  [-5.01531363e-03  8.51149112e-03  2.37870812e-02]\n",
      "  [-5.90026379e-04  8.84898938e-03  1.28785074e-02]\n",
      "  [ 5.98937273e-04  9.67828929e-03  2.63366252e-02]\n",
      "  [-3.55321169e-03  9.76196025e-03  2.28998512e-02]\n",
      "  [-1.82917714e-03  9.43891425e-03  2.63826400e-02]\n",
      "  [-1.47461891e-04  1.10638039e-02  1.92614496e-02]\n",
      "  [ 1.29121542e-03  1.01518715e-02  1.79065019e-02]\n",
      "  [ 1.82166696e-03  9.14281420e-03  2.24617422e-02]\n",
      "  [ 2.85896659e-03  7.25599658e-03  9.73352790e-03]\n",
      "  [ 7.72655010e-04  8.82309861e-03  2.67380625e-02]]\n",
      "\n",
      " [[-1.27198398e-02  1.13406964e-03  2.43450403e-02]\n",
      "  [-1.32322013e-02  4.92674299e-04  1.44175142e-02]\n",
      "  [-8.62103701e-03  1.34759489e-03  1.95406973e-02]\n",
      "  [-8.65069032e-03 -9.69888642e-05  2.11554617e-02]\n",
      "  [-8.27282667e-03 -8.10408033e-04  1.27930939e-02]\n",
      "  [-4.11388278e-03 -9.19839367e-04  1.75703615e-02]\n",
      "  [-7.74604082e-03 -2.24681571e-03  2.06267089e-02]\n",
      "  [-9.31528211e-03 -2.57714465e-03  2.16023624e-02]\n",
      "  [-2.79033184e-03 -2.61653587e-03  1.97948664e-02]\n",
      "  [-7.55068660e-03 -1.11108087e-03  1.26944780e-02]\n",
      "  [-1.00245774e-02 -3.37556563e-03  1.78202987e-02]\n",
      "  [-5.84161282e-03 -1.76668167e-03  9.40446556e-03]\n",
      "  [-4.95457649e-03 -2.57968158e-03  1.68295354e-02]\n",
      "  [-9.94208455e-03 -3.48546170e-03  1.15919113e-02]\n",
      "  [-8.26209784e-03 -3.59931961e-03  1.37041509e-02]\n",
      "  [-5.89478016e-03 -1.96780451e-03  1.10160559e-02]\n",
      "  [-5.03352284e-03 -2.85576656e-03  1.36061311e-02]\n",
      "  [-4.97180223e-03 -3.75400856e-03  2.37849504e-02]\n",
      "  [-4.34339046e-03 -5.15821762e-03  1.15507543e-02]\n",
      "  [-4.07007337e-03 -3.61628644e-03  2.74466276e-02]]\n",
      "\n",
      " [[-1.66841745e-02 -1.06757414e-02  2.48237103e-02]\n",
      "  [-1.62510276e-02 -4.81947791e-03  2.57873833e-02]\n",
      "  [-1.19076073e-02 -3.06632929e-03  2.41541266e-02]\n",
      "  [-1.10817552e-02 -3.97241674e-03  3.35130543e-02]\n",
      "  [-1.16352737e-02 -4.15399298e-03  2.16466486e-02]\n",
      "  [-1.03043020e-02 -4.70549148e-03  3.06759328e-02]\n",
      "  [-1.14249289e-02 -4.11830656e-03  2.88344771e-02]\n",
      "  [-1.33617222e-02 -3.59195471e-03  3.48617882e-02]\n",
      "  [-7.63705373e-03 -3.66611406e-03  2.98839062e-02]\n",
      "  [-1.02655292e-02 -1.61299482e-03  1.92802399e-02]\n",
      "  [-1.26041770e-02 -2.42134742e-03  2.65617073e-02]\n",
      "  [-9.69892740e-03 -1.59056857e-03  1.88813210e-02]\n",
      "  [-8.73467326e-03 -2.29833461e-03  3.12083960e-02]\n",
      "  [-1.23062134e-02 -1.66819245e-03  2.02526748e-02]\n",
      "  [-1.01949871e-02 -1.95265003e-03  3.18807513e-02]\n",
      "  [-1.08263195e-02 -3.04095447e-05  2.12385058e-02]\n",
      "  [-8.45435262e-03 -1.24450214e-03  2.65971720e-02]\n",
      "  [-7.96008110e-03 -2.99889594e-04  3.72713804e-02]\n",
      "  [-8.08092952e-03 -2.02710554e-03  2.54017562e-02]\n",
      "  [-6.84964657e-03 -4.32541594e-04  3.66805345e-02]]\n",
      "\n",
      " [[-1.24880373e-02 -7.67507963e-03  2.50722468e-03]\n",
      "  [-1.24302208e-02 -9.81243886e-03 -1.34675205e-03]\n",
      "  [-9.49406624e-03 -8.00826587e-03  2.75641680e-03]\n",
      "  [-8.33967328e-03 -8.33525229e-03  4.14639711e-03]\n",
      "  [-8.11344385e-03 -7.49936886e-03  3.55553627e-03]\n",
      "  [-6.71026111e-03 -7.69201666e-03  9.38332081e-03]\n",
      "  [-7.73212314e-03 -5.95343206e-03  9.05339420e-03]\n",
      "  [-1.09980106e-02 -5.26668038e-03  1.74309909e-02]\n",
      "  [-3.15159559e-03 -6.12342730e-03  1.32379681e-02]\n",
      "  [-8.11859965e-03 -2.75758281e-03  3.13134491e-03]\n",
      "  [-1.13179088e-02 -3.97913437e-03  6.76086545e-03]\n",
      "  [-4.69678640e-03 -1.43009052e-03  1.35436654e-04]\n",
      "  [-4.94420528e-03 -1.79878622e-03  1.03575587e-02]\n",
      "  [-8.55758786e-03 -2.96017155e-04  9.18956101e-03]\n",
      "  [-7.49930739e-03 -5.30717894e-04  1.48010552e-02]\n",
      "  [-5.81380725e-03  1.48469396e-03  7.04044104e-03]\n",
      "  [-4.47994471e-03  4.75727022e-04  5.95304370e-03]\n",
      "  [-2.82055140e-03  1.51154771e-03  1.95984542e-02]\n",
      "  [-1.62974000e-03  1.79393217e-04  8.86507332e-03]\n",
      "  [-1.20964646e-03  1.87850557e-03  1.84171200e-02]]\n",
      "\n",
      " [[-9.64877009e-03 -4.16082703e-03  1.69028342e-03]\n",
      "  [-9.56922770e-03 -1.06720980e-02 -4.99099493e-03]\n",
      "  [-7.80269504e-03 -8.11330043e-03 -5.02446294e-03]\n",
      "  [-6.45998120e-03 -8.62648338e-03 -4.14451957e-03]\n",
      "  [-5.88569045e-03 -7.87553936e-03  1.10268593e-04]\n",
      "  [-5.77086210e-03 -8.00350495e-03  5.00403345e-03]\n",
      "  [-6.61024451e-03 -5.83589077e-03 -7.22020864e-04]\n",
      "  [-7.99477100e-03 -5.51303569e-03  4.97815013e-03]\n",
      "  [-1.84723735e-03 -6.11149427e-03  4.91225719e-03]\n",
      "  [-6.45619631e-03 -3.35962884e-03 -8.27632844e-03]\n",
      "  [-9.24780965e-03 -4.26249206e-03  1.36943161e-03]\n",
      "  [-2.11083889e-03 -1.65677443e-03 -1.37656480e-02]\n",
      "  [-3.30284238e-03 -1.74408033e-03 -3.68976593e-03]\n",
      "  [-6.01854920e-03 -4.16561961e-04  7.53849745e-04]\n",
      "  [-4.52560186e-03 -3.99352983e-04  3.04256380e-03]\n",
      "  [-4.55412269e-03  1.22998841e-03 -9.44435596e-05]\n",
      "  [-2.77110934e-03  3.72124836e-04 -1.32350624e-03]\n",
      "  [-1.10188127e-03  9.27295536e-04  1.27975643e-02]\n",
      "  [ 2.68578529e-04  2.95476988e-04  1.86319649e-03]\n",
      "  [-6.18487597e-04  1.55677833e-03  8.56532156e-03]]]\n"
     ]
    },
    {
     "data": {
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