pynpi_wave_signal_acess.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                         Chronologic VCS (TM)\n",
      "      Version Q-2020.03-SP2-2_Full64 -- Thu Mar  4 10:00:35 2021\n",
      "               Copyright (c) 1991-2020 by Synopsys Inc.\n",
      "                         ALL RIGHTS RESERVED\n",
      "\n",
      "This program is proprietary and confidential information of Synopsys Inc.\n",
      "and may be used and disclosed only as authorized in a license agreement\n",
      "controlling such use and disclosure.\n",
      "\n",
      "Parsing design file 'simple_example/top.v'\n",
      "CPU time: .087 seconds to compile\n",
      "                         Chronologic VCS (TM)\n",
      "      Version Q-2020.03-SP2-2_Full64 -- Thu Mar  4 10:00:36 2021\n",
      "               Copyright (c) 1991-2020 by Synopsys Inc.\n",
      "                         ALL RIGHTS RESERVED\n",
      "\n",
      "This program is proprietary and confidential information of Synopsys Inc.\n",
      "and may be used and disclosed only as authorized in a license agreement\n",
      "controlling such use and disclosure.\n",
      "\n",
      "Top Level Modules:\n",
      "       top\n",
      "No TimeScale specified\n",
      "Starting vcs inline pass...\n",
      "\n",
      "1 module and 0 UDP read.\n",
      "recompiling module top\n",
      "rm -f _cuarc*.so _csrc*.so pre_vcsobj_*.so share_vcsobj_*.so\n",
      "ld -shared  -Bsymbolic   -o .//../simv.daidir//_cuarc0.so objs/amcQw_d.o \n",
      "rm -f _cuarc0.so\n",
      "if [ -x ../simv ]; then chmod a-x ../simv; fi\n",
      "CPU time: .292 seconds to compile + .154 seconds to elab + .348 seconds to link\n",
      "Chronologic VCS simulator copyright 1991-2020\n",
      "Contains Synopsys proprietary information.\n",
      "Compiler version Q-2020.03-SP2-2_Full64; Runtime version Q-2020.03-SP2-2_Full64;  Mar  4 10:00 2021\n",
      "ucli% fsdbDumpvars 0 top\n",
      "*Verdi* Loading libsscore_vcs202003.so\n",
      "FSDB Dumper for VCS, Release Verdi_Q-2020.03-SP2-2, Linux x86_64/64bit, 11/26/2020\n",
      "(C) 1996 - 2020 by Synopsys, Inc.\n",
      "*Verdi* FSDB WARNING: The FSDB file already exists. Overwriting the FSDB file may crash the programs that are using this file.\n",
      "*Verdi* : Create FSDB file 'novas.fsdb'\n",
      "*Verdi* : Begin traversing the scope (top), layer (0).\n",
      "*Verdi* : End of traversing.\n",
      "ucli% run\n",
      "           V C S   S i m u l a t i o n   R e p o r t \n",
      "Time: 100\n",
      "CPU Time:      0.270 seconds;       Data structure size:   0.0Mb\n",
      "Thu Mar  4 10:00:38 2021\n"
     ]
    }
   ],
   "source": [
    "# compile and run the design, nothing very interesting here\n",
    "import os\n",
    "from subprocess import Popen, PIPE, CalledProcessError\n",
    "\n",
    "os.environ['VCS_HOME'] = 'path-to-vcs'\n",
    "os.environ['VERDI_HOME'] = 'path-to-verdi'\n",
    "\n",
    "with Popen('simple_example/run', stdout=PIPE, bufsize=1, universal_newlines=True) as p:\n",
    "    for line in p.stdout:\n",
    "        print(line, end='')\n",
    "\n",
    "if p.returncode != 0:\n",
    "    raise CalledProcessError(p.returncode, p.args)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# imports and initialization (i.e. license check)\n",
    "from pynpi import npisys\n",
    "from pynpi import waveform\n",
    "\n",
    "npisys.init([\"anything\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# open the relevant fsdb\n",
    "wave = waveform.open(\"novas.fsdb\")\n",
    "if not wave:\n",
    "    print(\"Error. Failed to open file\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wave ends at:  100\n",
      "[(0, 'X'), (30, '1'), (60, '0'), (80, '1')]\n"
     ]
    }
   ],
   "source": [
    "# extract some signal values\n",
    "valid = wave.sig_by_name('top.valid')\n",
    "\n",
    "print(\"wave ends at: \", wave.max_time())\n",
    "\n",
    "valid_values = waveform.sig_hdl_value_between(valid,0,wave.max_time(),waveform.VctFormat_e.DecStrVal)\n",
    "\n",
    "print(valid_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare for plotting\n",
    "import pandas as pd \n",
    "\n",
    "df = pd.DataFrame(valid_values, columns =['time', 'value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1546\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1546\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"d2aa82f0-7536-4bbe-97bd-3fdae1ed8c3d\" data-root-id=\"1548\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"7e000856-2ea2-4ed9-a97e-3208fdd2afb6\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1557\"}],\"center\":[{\"id\":\"1560\"},{\"id\":\"1563\"}],\"left\":[{\"id\":\"1561\"}],\"plot_height\":400,\"plot_width\":800,\"renderers\":[{\"id\":\"1581\"}],\"title\":{\"id\":\"1629\"},\"toolbar\":{\"id\":\"1571\"},\"x_range\":{\"id\":\"1549\"},\"x_scale\":{\"id\":\"1553\"},\"y_range\":{\"id\":\"1551\"},\"y_scale\":{\"id\":\"1555\"}},\"id\":\"1548\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1636\",\"type\":\"Selection\"},{\"attributes\":{\"axis\":{\"id\":\"1561\"},\"dimension\":1,\"ticker\":null},\"id\":\"1563\",\"type\":\"Grid\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"line_width\":{\"value\":2},\"x\":{\"field\":\"time\"},\"y\":{\"field\":\"value\"}},\"id\":\"1580\",\"type\":\"Step\"},{\"attributes\":{},\"id\":\"1631\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"1547\"},\"glyph\":{\"id\":\"1579\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1580\"},\"selection_glyph\":null,\"view\":{\"id\":\"1582\"}},\"id\":\"1581\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1564\",\"type\":\"PanTool\"},{\"attributes\":{\"factors\":[\"1\",\"0\"]},\"id\":\"1551\",\"type\":\"FactorRange\"},{\"attributes\":{},\"id\":\"1565\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1570\"}},\"id\":\"1566\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1567\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1549\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1568\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1562\",\"type\":\"CategoricalTicker\"},{\"attributes\":{},\"id\":\"1569\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1553\",\"type\":\"LinearScale\"},{\"attributes\":{\"source\":{\"id\":\"1547\"}},\"id\":\"1582\",\"type\":\"CDSView\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1564\"},{\"id\":\"1565\"},{\"id\":\"1566\"},{\"id\":\"1567\"},{\"id\":\"1568\"},{\"id\":\"1569\"}]},\"id\":\"1571\",\"type\":\"Toolbar\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1570\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1629\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1555\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"formatter\":{\"id\":\"1631\"},\"ticker\":{\"id\":\"1562\"}},\"id\":\"1561\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"line_color\":{\"value\":\"#1f77b4\"},\"line_width\":{\"value\":2},\"x\":{\"field\":\"time\"},\"y\":{\"field\":\"value\"}},\"id\":\"1579\",\"type\":\"Step\"},{\"attributes\":{\"axis\":{\"id\":\"1557\"},\"ticker\":null},\"id\":\"1560\",\"type\":\"Grid\"},{\"attributes\":{\"data\":{\"index\":[0,1,2,3],\"time\":[0,30,60,80],\"value\":[\"X\",\"1\",\"0\",\"1\"]},\"selected\":{\"id\":\"1636\"},\"selection_policy\":{\"id\":\"1635\"}},\"id\":\"1547\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1558\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1633\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1635\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"formatter\":{\"id\":\"1633\"},\"ticker\":{\"id\":\"1558\"}},\"id\":\"1557\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"1548\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "  var render_items = [{\"docid\":\"7e000856-2ea2-4ed9-a97e-3208fdd2afb6\",\"root_ids\":[\"1548\"],\"roots\":{\"1548\":\"d2aa82f0-7536-4bbe-97bd-3fdae1ed8c3d\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1548"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the signals, just for fun. we're here for analysis not for competing against Verdi.\n",
    "from bokeh.io import output_notebook, show\n",
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.plotting import figure\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "source = ColumnDataSource(df)\n",
    "\n",
    "p = figure(plot_width=800, plot_height=400, y_range=['1','0'])\n",
    "\n",
    "p.step(x='time', y='value', line_width=2, source=source)\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}