{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rotation of pillars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from mnflow.mfda.cad.dld.theme.block import DLD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us use the following profile for pillars:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shape = np.array([\n",
    "    (0.34, 0.),\n",
    "    (0.5, 0.25),\n",
    "    (0.17, 0.25),\n",
    "    (0., 0.5),\n",
    "    (-0.17, 0.25),\n",
    "    (-0.5, 0.25),\n",
    "    (-0.34, 0.),\n",
    "    (-0.5, -0.25),\n",
    "    (-0.17, -0.25),\n",
    "    (0., -0.5),\n",
    "    (0.17, -0.25),\n",
    "    (0.5, -0.25),\n",
    "    ])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can apply rotation to pillars by passing ``core_shape_rot_angle``: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dld = DLD(\n",
    "    d_c=1.,\n",
    "    Np=10,\n",
    "    Nw=8,\n",
    "    core_shape=shape,\n",
    "    num_unit=2,\n",
    "    core_shape_rot_angle=30,\n",
    "    rotation_angle_deg_before_array=90,\n",
    "    # constraints OFF\n",
    "    turn_off_constraints=True,\n",
    "    # image\n",
    "    opt_save_image=True,\n",
    "    img_dpu=20,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Output layout:\n",
    "![Layout](layout_overlay.png)"
   ]
  }
 ],
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   "display_name": ".venv",
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   "nbconvert_exporter": "python",
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