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   "source": [
    "# Cupy Lab\n",
    "\n",
    "It's your turn again.\n",
    "\n",
    "In this lab we will work through some fundamental `cupy` operations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc4596d8-d9ff-4c66-8822-246c0fc830c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cupy as cp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7535d7ab-1dd8-407a-bd30-7422e8391fc7",
   "metadata": {},
   "source": [
    "**1. Create the input data array with the numbers `1` to `500_000_000`.** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f1a613f-bc87-4950-b195-a66bb5bc05d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = ...\n",
    "arr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b2a320b-b202-4d62-88de-981130756987",
   "metadata": {},
   "source": [
    "**2. Calculate how large the array is in GB with `nbytes`** _Hint: GB is `1e9`_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50530f2c-29bf-4061-8f84-bc5be00a5622",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dfdc34c-f616-491f-a0c6-8add195412f8",
   "metadata": {},
   "source": [
    "**3. How many dimensions does the array have?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ffc15dad-e2fd-4b96-8b39-3496519d0656",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee24ecbe-2b39-43ea-9319-cdfa08f52fb1",
   "metadata": {},
   "source": [
    "**4. How many elements does the array have?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b15cdf25-eb35-4926-b306-90ffd62b3d28",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6cb7de1-20ef-4edf-a4b1-3abe40e83ab8",
   "metadata": {},
   "source": [
    "**5. What is the shape of the array?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63887722-c9d7-405e-a019-e75646115541",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35f4e58d-9cbe-4e71-8b65-42f9460531e3",
   "metadata": {},
   "source": [
    "**6. Create a new array with `5_000_000` elements representing the linear space of `0` to `1000`.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1527b4f6-5d75-47d4-97e0-d0e78bbc59f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = ...\n",
    "arr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e0b80a2-4bb0-40a0-82e6-366a47f26b43",
   "metadata": {},
   "source": [
    "**7. Create a random array that is `10_000` by `5_000`.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2f51aa2e-b994-4a91-aed6-4a4632eb7050",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = ...\n",
    "arr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8ab4e20-cc42-4335-8a8a-bb695631185a",
   "metadata": {},
   "source": [
    "**8. Sort that array.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4ec06270-6e08-4cce-9385-9dc8b53e95fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = ...\n",
    "arr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc675e4c-66e6-4a9e-8f68-96802c7f96ad",
   "metadata": {},
   "source": [
    "**Extra Credit 9. Reshape the array to have one dimension of length `5`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cdde560b-5ba6-484c-a601-00b7ef71273d",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = ...\n",
    "arr"
   ]
  }
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