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    "Homework 2 is due on 6/18.  Please upload your completed assignment to Canvas as a .py script which consists of all the necessary functions.\n",
    "\n",
    "Name your script hw2_loginID.py For instance, I would name my script hw2_rlthomas3.py, since rlthomas3 is my USF login ID (it's what comes before @usfca.edu in my email address)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "1\\. Consider this $5x5$ matrix :\n",
    "\n",
    "\\begin{pmatrix}\n",
    "  1 & & & -2 & \\\\\n",
    "  & 3 & & & -9 \\\\\n",
    "  & & -7 & 4 & \\\\ \n",
    "  -1 & 2 & 7 & & \\\\\n",
    "  -3 & & 26 & &\n",
    " \\end{pmatrix}\n",
    " \n",
    " a. Write how it would be stored in coordinate-wise format. Your answer should be a dictionary named `coo` with keys: `vals`, `cols`, and `rows`\n",
    " \n",
    " b. Write how it would be stored in compressed row format. Your answer should be a dictionary named `csr` with keys: `vals`, `cols`, and `row_ptr`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2\\. Write a method that uses regex:\n",
    "\n",
    "`get_dimensions(\"1280x720\")` should return `1280, 720`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_dimensions(text):\n",
    "    # something with regex\n",
    "    return int(dim1), int(dim2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3\\. Use regex to pick out the names of PDFs.\n",
    "\n",
    "`get_pdf_names(\"file_record_transcript.pdf\")` should return `\"file_record_transcript\"`\n",
    "\n",
    "`get_pdf_names(\"testfile_fake.pdf.tmp\")` should return `None`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_pdf_names(text):\n",
    "    # something with regex\n",
    "    \n",
    "    return pdf_name"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4\\. For each of the following, answer whether they are **parameters** or **activations**:\n",
    "\n",
    "- weights in a pre-trained network\n",
    "- hidden state in an RNN\n",
    "- attention weights\n",
    "\n",
    "Submit answer via this jot form: https://form.jotform.com/91605828322154"
   ]
  }
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