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proppy/caravel-user-project-with-conda-eda.ipynb

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caravel-user-project-with-conda-eda.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "caravel-user-project-with-conda-eda.ipynb",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/proppy/b9d5a3b3a7b1699030e303a8bde18eec/caravel-user-project-with-conda-eda.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# Caravel User Project with conda-eda packages"
],
"metadata": {
"id": "HkFeU0R-0hzi"
}
},
{
"cell_type": "markdown",
"source": [
"## install conda"
],
"metadata": {
"id": "gxIm7zGh0pJA"
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NC__X6Jph4CU",
"outputId": "f29ffe4b-80d1-49e1-a6b5-f4fd750afcf3"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"⏬ Downloading https://repo.anaconda.com/miniconda/Miniconda3-py37_4.11.0-Linux-x86_64.sh...\n",
"📦 Installing...\n",
"📌 Adjusting configuration...\n",
"🩹 Patching environment...\n",
"⏲ Done in 0:00:32\n",
"🔁 Restarting kernel...\n"
]
}
],
"source": [
"!pip install -q condacolab\n",
"import condacolab\n",
"condacolab.install_from_url(\"https://repo.anaconda.com/miniconda/Miniconda3-py37_4.11.0-Linux-x86_64.sh\")"
]
},
{
"cell_type": "code",
"source": [
"import condacolab\n",
"condacolab.check()\n",
"!sed -i -e /cudatoolkit/d /usr/local/conda-meta/pinned"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hr5m8yvcRKYR",
"outputId": "19148196-1ec6-4d23-d6ac-4c817cc543f2"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"✨🍰✨ Everything looks OK!\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Install dependencies\n",
"\n",
"- Install an older version of open_pdks to workaround https://github.com/RTimothyEdwards/open_pdks/issues/235"
],
"metadata": {
"id": "Gk35qYyy0tUx"
}
},
{
"cell_type": "code",
"source": [
"%%writefile environment.yml\n",
"channels:\n",
" - litex-hub\n",
" - conda-forge\n",
"dependencies:\n",
" - open_pdks.sky130a=1.0.290\n",
" - magic\n",
" - openroad\n",
" - netgen\n",
" - yosys\n",
" - gdstk\n",
" - cairosvg\n",
" - svgutils\n",
" - iverilog\n",
" - pip:\n",
" - pyyaml\n",
" - click\n",
" - pandas\n",
" - coloredlogs\n",
" - strsimpy\n",
" - PySpice\n",
" - klayout\n",
" - https://github.com/PyHDI/Pyverilog/archive/develop.zip"
],
"metadata": {
"id": "QIDhH7IP4ToZ",
"outputId": "e36db1b1-543a-42df-de53-10a2bd665332",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Writing environment.yml\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!conda env update --prefix /usr/local --file environment.yml\n",
"!apt-get update && apt-get install -yq tcllib\n",
"!curl -O https://www.klayout.org/downloads/Ubuntu-18/klayout_0.27.8-1_amd64.deb\n",
"!dpkg -i klayout_0.27.8-1_amd64.deb; apt-get update && apt-get -f -yq install"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CLZmI-V6iDgx",
"outputId": "995e1d90-c52b-4cab-8990-8dd9a74ab402"
},
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies. Conda may not use the correct pip to install your packages, and they may end up in the wrong place. Please add an explicit pip dependency. I'm adding one for you, but still nagging you.\n",
"Collecting package metadata (repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
"Solving environment: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 4.11.0\n",
" latest version: 4.12.0\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"open_pdks.sky130a-1. | 119.5 MB | : 100% 1.0/1 [01:14<00:00, 74.45s/it]\n",
"libstdcxx-ng-11.2.0 | 4.2 MB | : 100% 1.0/1 [00:01<00:00, 1.16s/it]\n",
"lz4-c-1.9.3 | 179 KB | : 100% 1.0/1 [00:00<00:00, 11.88it/s]\n",
"cssselect2-0.2.1 | 30 KB | : 100% 1.0/1 [00:00<00:00, 18.85it/s]\n",
"zlib-1.2.11 | 86 KB | : 100% 1.0/1 [00:00<00:00, 16.69it/s]\n",
"libdeflate-1.10 | 77 KB | : 100% 1.0/1 [00:00<00:00, 16.23it/s]\n",
"libwebp-1.2.2 | 85 KB | : 100% 1.0/1 [00:00<00:00, 16.64it/s]\n",
"iverilog-0_8_6143_g1 | 2.4 MB | : 100% 1.0/1 [00:00<00:00, 1.03it/s]\n",
"lcms2-2.12 | 443 KB | : 100% 1.0/1 [00:00<00:00, 6.50it/s]\n",
"gettext-0.19.8.1 | 3.6 MB | : 100% 1.0/1 [00:01<00:00, 1.32s/it] \n",
"fontconfig-2.13.96 | 306 KB | : 100% 1.0/1 [00:00<00:00, 7.67it/s]\n",
"certifi-2021.10.8 | 145 KB | : 100% 1.0/1 [00:00<00:00, 15.60it/s]\n",
"pip-22.0.4 | 1.5 MB | : 100% 1.0/1 [00:00<00:00, 1.50it/s]\n",
"xorg-libxau-1.0.9 | 13 KB | : 100% 1.0/1 [00:00<00:00, 20.85it/s]\n",
"libxslt-1.1.33 | 522 KB | : 100% 1.0/1 [00:00<00:00, 3.02it/s]\n",
"xorg-libxdmcp-1.1.3 | 19 KB | : 100% 1.0/1 [00:00<00:00, 21.10it/s]\n",
"cairo-1.16.0 | 1.5 MB | : 100% 1.0/1 [00:00<00:00, 1.77it/s]\n",
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"Preparing transaction: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\bdone\n",
"Verifying transaction: | \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\bdone\n",
"Executing transaction: \\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\bdone\n",
"Installing pip dependencies: / \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| Ran pip subprocess with arguments:\n",
"['/usr/local/bin/python', '-m', 'pip', 'install', '-U', '-r', '/content/condaenv.hjiv8tu0.requirements.txt']\n",
"Pip subprocess output:\n",
"Collecting https://github.com/PyHDI/Pyverilog/archive/develop.zip (from -r /content/condaenv.hjiv8tu0.requirements.txt (line 8))\n",
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"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/site-packages (from requests>=2.23->PySpice->-r /content/condaenv.hjiv8tu0.requirements.txt (line 6)) (1.26.7)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/site-packages (from requests>=2.23->PySpice->-r /content/condaenv.hjiv8tu0.requirements.txt (line 6)) (3.3)\n",
"Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/site-packages (from requests>=2.23->PySpice->-r /content/condaenv.hjiv8tu0.requirements.txt (line 6)) (2.0.4)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/site-packages (from requests>=2.23->PySpice->-r /content/condaenv.hjiv8tu0.requirements.txt (line 6)) (2021.10.8)\n",
"Collecting typing-extensions>=3.6.4\n",
" Downloading typing_extensions-4.1.1-py3-none-any.whl (26 kB)\n",
"Collecting zipp>=0.5\n",
" Downloading zipp-3.7.0-py3-none-any.whl (5.3 kB)\n",
"Building wheels for collected packages: pyverilog\n",
" Building wheel for pyverilog (setup.py): started\n",
" Building wheel for pyverilog (setup.py): finished with status 'done'\n",
" Created wheel for pyverilog: filename=pyverilog-1.3.0-py3-none-any.whl size=118987 sha256=de2304724fd1ce1c7cadf2d63d96040d58f4eec1cd7803a986727880560efc83\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-cx04ruj2/wheels/13/99/da/7167fc21fa5e8b213351de9d33580678f6eac316acd71b9976\n",
"Successfully built pyverilog\n",
"Installing collected packages: strsimpy, pytz, ply, klayout, zipp, typing-extensions, scipy, pyyaml, python-dateutil, pyparsing, MarkupSafe, humanfriendly, fonttools, cycler, pandas, packaging, kiwisolver, Jinja2, importlib-metadata, coloredlogs, pyverilog, matplotlib, click, PySpice\n",
"Successfully installed Jinja2-3.0.3 MarkupSafe-2.1.1 PySpice-1.5 click-8.0.4 coloredlogs-15.0.1 cycler-0.11.0 fonttools-4.30.0 humanfriendly-10.0 importlib-metadata-4.11.3 kiwisolver-1.4.0 klayout-0.27.8 matplotlib-3.5.1 packaging-21.3 pandas-1.3.5 ply-3.11 pyparsing-3.0.7 python-dateutil-2.8.2 pytz-2021.3 pyverilog-1.3.0 pyyaml-6.0 scipy-1.7.3 strsimpy-0.2.1 typing-extensions-4.1.1 zipp-3.7.0\n",
"\n",
"\b\bdone\n",
"#\n",
"# To activate this environment, use\n",
"#\n",
"# $ conda activate /usr/local\n",
"#\n",
"# To deactivate an active environment, use\n",
"#\n",
"# $ conda deactivate\n",
"\n",
"Get:1 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
"Get:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease [3,626 B]\n",
"Ign:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 InRelease\n",
"Hit:4 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
"Get:5 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease [15.9 kB]\n",
"Ign:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 InRelease\n",
"Hit:7 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release\n",
"Hit:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release\n",
"Get:9 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
"Hit:10 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
"Get:11 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n",
"Hit:12 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n",
"Get:13 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [2,628 kB]\n",
"Hit:14 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
"Get:15 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1,479 kB]\n",
"Get:18 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main Sources [1,827 kB]\n",
"Get:19 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2,257 kB]\n",
"Get:20 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main amd64 Packages [936 kB]\n",
"Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [3,067 kB]\n",
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"Reading package lists... Done\n",
"Reading package lists...\n",
"Building dependency tree...\n",
"Reading state information...\n",
"The following additional packages will be installed:\n",
" iproute2 libatm1 libmnl0 libxtables12\n",
"Suggested packages:\n",
" iproute2-doc tcllib-critcl\n",
"The following NEW packages will be installed:\n",
" iproute2 libatm1 libmnl0 libxtables12 tcllib\n",
"0 upgraded, 5 newly installed, 0 to remove and 52 not upgraded.\n",
"Need to get 5,143 kB of archives.\n",
"After this operation, 23.6 MB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu bionic/main amd64 libmnl0 amd64 1.0.4-2 [12.3 kB]\n",
"Get:2 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 iproute2 amd64 4.15.0-2ubuntu1.3 [721 kB]\n",
"Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 libatm1 amd64 1:2.5.1-2build1 [21.9 kB]\n",
"Get:4 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxtables12 amd64 1.6.1-2ubuntu2 [27.9 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 tcllib all 1.19-dfsg-2 [4,360 kB]\n",
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"Selecting previously unselected package libatm1:amd64.\n",
"Preparing to unpack .../libatm1_1%3a2.5.1-2build1_amd64.deb ...\n",
"Unpacking libatm1:amd64 (1:2.5.1-2build1) ...\n",
"Selecting previously unselected package libxtables12:amd64.\n",
"Preparing to unpack .../libxtables12_1.6.1-2ubuntu2_amd64.deb ...\n",
"Unpacking libxtables12:amd64 (1.6.1-2ubuntu2) ...\n",
"Selecting previously unselected package tcllib.\n",
"Preparing to unpack .../tcllib_1.19-dfsg-2_all.deb ...\n",
"Unpacking tcllib (1.19-dfsg-2) ...\n",
"Setting up libatm1:amd64 (1:2.5.1-2build1) ...\n",
"Setting up libxtables12:amd64 (1.6.1-2ubuntu2) ...\n",
"Setting up libmnl0:amd64 (1.0.4-2) ...\n",
"Setting up iproute2 (4.15.0-2ubuntu1.3) ...\n",
"Setting up tcllib (1.19-dfsg-2) ...\n",
"Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
"Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n",
"/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
"\n",
" % Total % Received % Xferd Average Speed Time Time Time Current\n",
" Dload Upload Total Spent Left Speed\n",
"100 42.2M 100 42.2M 0 0 8832k 0 0:00:04 0:00:04 --:--:-- 10.5M\n",
"Selecting previously unselected package klayout.\n",
"(Reading database ... 157380 files and directories currently installed.)\n",
"Preparing to unpack klayout_0.27.8-1_amd64.deb ...\n",
"Unpacking klayout (0.27.8-1) ...\n",
"\u001b[1mdpkg:\u001b[0m dependency problems prevent configuration of klayout:\n",
" klayout depends on libqt4-designer (>= 4.8.7); however:\n",
" Package libqt4-designer is not installed.\n",
" klayout depends on libqt4-xml (>= 4.8.7); however:\n",
" Package libqt4-xml is not installed.\n",
" klayout depends on libqt4-sql (>= 4.8.7); however:\n",
" Package libqt4-sql is not installed.\n",
" klayout depends on libqt4-network (>= 4.8.7); however:\n",
" Package libqt4-network is not installed.\n",
" klayout depends on libqtcore4 (>= 4.8.7); however:\n",
" Package libqtcore4 is not installed.\n",
" klayout depends on libqtgui4 (>= 4.8.7); however:\n",
" Package libqtgui4 is not installed.\n",
" klayout depends on libruby2.5 (>= 2.5.1); however:\n",
" Package libruby2.5 is not installed.\n",
"\n",
"\u001b[1mdpkg:\u001b[0m error processing package klayout (--install):\n",
" dependency problems - leaving unconfigured\n",
"Processing triggers for mime-support (3.60ubuntu1) ...\n",
"Errors were encountered while processing:\n",
" klayout\n",
"Hit:1 http://security.ubuntu.com/ubuntu bionic-security InRelease\n",
"Hit:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease\n",
"Ign:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 InRelease\n",
"Hit:4 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease\n",
"Ign:5 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 InRelease\n",
"Hit:6 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 Release\n",
"Hit:7 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
"Hit:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release\n",
"Hit:9 http://archive.ubuntu.com/ubuntu bionic-updates InRelease\n",
"Hit:10 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
"Hit:11 http://archive.ubuntu.com/ubuntu bionic-backports InRelease\n",
"Hit:12 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n",
"Hit:13 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
"Reading package lists... Done\n",
"Reading package lists...\n",
"Building dependency tree...\n",
"Reading state information...\n",
"Correcting dependencies... Done\n",
"The following additional packages will be installed:\n",
" fonts-lato javascript-common libaudio2 libjs-jquery libmng2 libqt4-dbus\n",
" libqt4-declarative libqt4-designer libqt4-network libqt4-script libqt4-sql\n",
" libqt4-sql-mysql libqt4-xml libqt4-xmlpatterns libqtcore4 libqtdbus4\n",
" libqtgui4 libruby2.5 qdbus qt-at-spi qtcore4-l10n rake ruby\n",
" ruby-did-you-mean ruby-minitest ruby-net-telnet ruby-power-assert\n",
" ruby-test-unit ruby2.5 rubygems-integration\n",
"Suggested packages:\n",
" apache2 | lighttpd | httpd nas libqt4-declarative-folderlistmodel\n",
" libqt4-declarative-gestures libqt4-declarative-particles\n",
" libqt4-declarative-shaders qt4-qmlviewer libqt4-dev libicu55 qt4-qtconfig ri\n",
" ruby-dev bundler\n",
"The following NEW packages will be installed:\n",
" fonts-lato javascript-common libaudio2 libjs-jquery libmng2 libqt4-dbus\n",
" libqt4-declarative libqt4-designer libqt4-network libqt4-script libqt4-sql\n",
" libqt4-sql-mysql libqt4-xml libqt4-xmlpatterns libqtcore4 libqtdbus4\n",
" libqtgui4 libruby2.5 qdbus qt-at-spi qtcore4-l10n rake ruby\n",
" ruby-did-you-mean ruby-minitest ruby-net-telnet ruby-power-assert\n",
" ruby-test-unit ruby2.5 rubygems-integration\n",
"0 upgraded, 30 newly installed, 0 to remove and 52 not upgraded.\n",
"1 not fully installed or removed.\n",
"Need to get 20.4 MB of archives.\n",
"After this operation, 77.3 MB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 qtcore4-l10n all 4:4.8.7+dfsg-7ubuntu1 [617 kB]\n",
"Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqtcore4 amd64 4:4.8.7+dfsg-7ubuntu1 [1,552 kB]\n",
"Get:3 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-xml amd64 4:4.8.7+dfsg-7ubuntu1 [96.1 kB]\n",
"Get:4 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqtdbus4 amd64 4:4.8.7+dfsg-7ubuntu1 [186 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-script amd64 4:4.8.7+dfsg-7ubuntu1 [815 kB]\n",
"Get:6 http://archive.ubuntu.com/ubuntu bionic/main amd64 libaudio2 amd64 1.9.4-6 [50.3 kB]\n",
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"Get:8 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-network amd64 4:4.8.7+dfsg-7ubuntu1 [562 kB]\n",
"Get:9 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-sql amd64 4:4.8.7+dfsg-7ubuntu1 [98.5 kB]\n",
"Get:10 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-xmlpatterns amd64 4:4.8.7+dfsg-7ubuntu1 [1,091 kB]\n",
"Get:11 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-declarative amd64 4:4.8.7+dfsg-7ubuntu1 [1,089 kB]\n",
"Get:12 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqtgui4 amd64 4:4.8.7+dfsg-7ubuntu1 [4,115 kB]\n",
"Get:13 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-designer amd64 4:4.8.7+dfsg-7ubuntu1 [3,629 kB]\n",
"Get:14 http://archive.ubuntu.com/ubuntu bionic/main amd64 rubygems-integration all 1.11 [4,994 B]\n",
"Get:15 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 ruby2.5 amd64 2.5.1-1ubuntu1.11 [48.6 kB]\n",
"Get:16 http://archive.ubuntu.com/ubuntu bionic/main amd64 ruby amd64 1:2.5.1 [5,712 B]\n",
"Get:17 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 rake all 12.3.1-1ubuntu0.1 [44.9 kB]\n",
"Get:18 http://archive.ubuntu.com/ubuntu bionic/main amd64 ruby-did-you-mean all 1.2.0-2 [9,700 B]\n",
"Get:19 http://archive.ubuntu.com/ubuntu bionic/main amd64 ruby-minitest all 5.10.3-1 [38.6 kB]\n",
"Get:20 http://archive.ubuntu.com/ubuntu bionic/main amd64 ruby-net-telnet all 0.1.1-2 [12.6 kB]\n",
"Get:21 http://archive.ubuntu.com/ubuntu bionic/main amd64 ruby-power-assert all 0.3.0-1 [7,952 B]\n",
"Get:22 http://archive.ubuntu.com/ubuntu bionic/main amd64 ruby-test-unit all 3.2.5-1 [61.1 kB]\n",
"Get:23 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libruby2.5 amd64 2.5.1-1ubuntu1.11 [3,072 kB]\n",
"Get:24 http://archive.ubuntu.com/ubuntu bionic/main amd64 fonts-lato all 2.0-2 [2,698 kB]\n",
"Get:25 http://archive.ubuntu.com/ubuntu bionic/main amd64 javascript-common all 11 [6,066 B]\n",
"Get:26 http://archive.ubuntu.com/ubuntu bionic/main amd64 libjs-jquery all 3.2.1-1 [152 kB]\n",
"Get:27 http://archive.ubuntu.com/ubuntu bionic/universe amd64 qdbus amd64 4:4.8.7+dfsg-7ubuntu1 [30.0 kB]\n",
"Get:28 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-dbus amd64 4:4.8.7+dfsg-7ubuntu1 [6,440 B]\n",
"Get:29 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libqt4-sql-mysql amd64 4:4.8.7+dfsg-7ubuntu1 [30.5 kB]\n",
"Get:30 http://archive.ubuntu.com/ubuntu bionic/universe amd64 qt-at-spi amd64 0.4.0-8 [58.6 kB]\n",
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"Selecting previously unselected package libjs-jquery.\n",
"Preparing to unpack .../25-libjs-jquery_3.2.1-1_all.deb ...\n",
"Unpacking libjs-jquery (3.2.1-1) ...\n",
"Selecting previously unselected package qdbus.\n",
"Preparing to unpack .../26-qdbus_4%3a4.8.7+dfsg-7ubuntu1_amd64.deb ...\n",
"Unpacking qdbus (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Selecting previously unselected package libqt4-dbus:amd64.\n",
"Preparing to unpack .../27-libqt4-dbus_4%3a4.8.7+dfsg-7ubuntu1_amd64.deb ...\n",
"Unpacking libqt4-dbus:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Selecting previously unselected package libqt4-sql-mysql:amd64.\n",
"Preparing to unpack .../28-libqt4-sql-mysql_4%3a4.8.7+dfsg-7ubuntu1_amd64.deb ...\n",
"Unpacking libqt4-sql-mysql:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Selecting previously unselected package qt-at-spi:amd64.\n",
"Preparing to unpack .../29-qt-at-spi_0.4.0-8_amd64.deb ...\n",
"Unpacking qt-at-spi:amd64 (0.4.0-8) ...\n",
"Setting up libjs-jquery (3.2.1-1) ...\n",
"Setting up qtcore4-l10n (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libmng2:amd64 (2.0.2-0ubuntu3) ...\n",
"Setting up fonts-lato (2.0-2) ...\n",
"Setting up ruby-did-you-mean (1.2.0-2) ...\n",
"Setting up libqtcore4:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up ruby-net-telnet (0.1.1-2) ...\n",
"Setting up rubygems-integration (1.11) ...\n",
"Setting up javascript-common (11) ...\n",
"Setting up ruby-minitest (5.10.3-1) ...\n",
"Setting up libqt4-xml:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libaudio2:amd64 (1.9.4-6) ...\n",
"Setting up ruby-power-assert (0.3.0-1) ...\n",
"Setting up libqt4-sql:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqtdbus4:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqt4-script:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqt4-sql-mysql:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up qdbus (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqt4-dbus:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqt4-network:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqt4-xmlpatterns:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up libqtgui4:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up qt-at-spi:amd64 (0.4.0-8) ...\n",
"Setting up ruby-test-unit (3.2.5-1) ...\n",
"Setting up libqt4-designer:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up rake (12.3.1-1ubuntu0.1) ...\n",
"Setting up libruby2.5:amd64 (2.5.1-1ubuntu1.11) ...\n",
"Setting up libqt4-declarative:amd64 (4:4.8.7+dfsg-7ubuntu1) ...\n",
"Setting up klayout (0.27.8-1) ...\n",
"Setting up ruby2.5 (2.5.1-1ubuntu1.11) ...\n",
"Setting up ruby (1:2.5.1) ...\n",
"Processing triggers for fontconfig (2.12.6-0ubuntu2) ...\n",
"Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n",
"/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
"\n",
"Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Get OpenLane and Caravel User Project"
],
"metadata": {
"id": "9Q9Fipzf0xyo"
}
},
{
"cell_type": "code",
"source": [
"!git clone --depth=1 https://github.com/The-OpenROAD-Project/OpenLane\n",
"!git clone --depth=1 -b mpw-5c https://github.com/efabless/caravel_user_project caravel_user_project\n",
"!git clone --depth=1 -b mpw-5c https://github.com/efabless/caravel-lite caravel_user_project/caravel\n",
"!git clone --depth=1 -b mpw-5c https://github.com/efabless/caravel_mgmt_soc_litex caravel_user_project/mgmt_core_wrapper\n",
"!git clone --depth=1 -b mpw-5c https://github.com/efabless/mpw_precheck\n",
"!cd /content/caravel_user_project/caravel && make uncompress\n",
"!cd OpenLane && echo \"OpenLane: $(git rev-parse HEAD)\"\n",
"!cd caravel_user_project && echo \"caravel_user_project: $(git rev-parse HEAD)\"\n",
"!cd caravel_user_project/caravel && echo \"caravel-lite: $(git rev-parse HEAD)\"\n",
"!cd caravel_user_project/mgmt_core_wrapper && echo \"caravel_mgmt_soc_litex: $(git rev-parse HEAD)\"\n",
"!cd mpw_precheck && echo \"mpw_precheck: $(git rev-parse HEAD)\""
],
"metadata": {
"id": "ZQL9FaBLiNFS",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "7e96b29e-b957-4dde-d566-6e41b7e414e3"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'OpenLane'...\n",
"remote: Enumerating objects: 480, done.\u001b[K\n",
"remote: Counting objects: 100% (480/480), done.\u001b[K\n",
"remote: Compressing objects: 100% (397/397), done.\u001b[K\n",
"remote: Total 480 (delta 104), reused 215 (delta 40), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (480/480), 1.57 MiB | 19.55 MiB/s, done.\n",
"Resolving deltas: 100% (104/104), done.\n",
"Cloning into 'caravel_user_project'...\n",
"remote: Enumerating objects: 107, done.\u001b[K\n",
"remote: Counting objects: 100% (107/107), done.\u001b[K\n",
"remote: Compressing objects: 100% (87/87), done.\u001b[K\n",
"remote: Total 107 (delta 23), reused 64 (delta 13), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (107/107), 5.64 MiB | 4.50 MiB/s, done.\n",
"Resolving deltas: 100% (23/23), done.\n",
"Note: checking out 'b3ac77dd3737f2aa461199484538fd91c363deed'.\n",
"\n",
"You are in 'detached HEAD' state. You can look around, make experimental\n",
"changes and commit them, and you can discard any commits you make in this\n",
"state without impacting any branches by performing another checkout.\n",
"\n",
"If you want to create a new branch to retain commits you create, you may\n",
"do so (now or later) by using -b with the checkout command again. Example:\n",
"\n",
" git checkout -b <new-branch-name>\n",
"\n",
"Cloning into 'caravel_user_project/caravel'...\n",
"remote: Enumerating objects: 226, done.\u001b[K\n",
"remote: Counting objects: 100% (226/226), done.\u001b[K\n",
"remote: Compressing objects: 100% (173/173), done.\u001b[K\n",
"remote: Total 226 (delta 96), reused 137 (delta 52), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (226/226), 722.69 KiB | 7.69 MiB/s, done.\n",
"Resolving deltas: 100% (96/96), done.\n",
"Note: checking out '477c17fb986b0d3f7f3581e940095b68bd62422f'.\n",
"\n",
"You are in 'detached HEAD' state. You can look around, make experimental\n",
"changes and commit them, and you can discard any commits you make in this\n",
"state without impacting any branches by performing another checkout.\n",
"\n",
"If you want to create a new branch to retain commits you create, you may\n",
"do so (now or later) by using -b with the checkout command again. Example:\n",
"\n",
" git checkout -b <new-branch-name>\n",
"\n",
"Cloning into 'caravel_user_project/mgmt_core_wrapper'...\n",
"remote: Enumerating objects: 1113, done.\u001b[K\n",
"remote: Counting objects: 100% (1113/1113), done.\u001b[K\n",
"remote: Compressing objects: 100% (698/698), done.\u001b[K\n",
"remote: Total 1113 (delta 529), reused 805 (delta 349), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (1113/1113), 213.06 MiB | 9.21 MiB/s, done.\n",
"Resolving deltas: 100% (529/529), done.\n",
"Note: checking out '3fee299f8177cebf7919eb0e6da7f0f5ad7af31d'.\n",
"\n",
"You are in 'detached HEAD' state. You can look around, make experimental\n",
"changes and commit them, and you can discard any commits you make in this\n",
"state without impacting any branches by performing another checkout.\n",
"\n",
"If you want to create a new branch to retain commits you create, you may\n",
"do so (now or later) by using -b with the checkout command again. Example:\n",
"\n",
" git checkout -b <new-branch-name>\n",
"\n",
"Checking out files: 100% (1271/1271), done.\n",
"Cloning into 'mpw_precheck'...\n",
"remote: Enumerating objects: 122, done.\u001b[K\n",
"remote: Counting objects: 100% (122/122), done.\u001b[K\n",
"remote: Compressing objects: 100% (86/86), done.\u001b[K\n",
"remote: Total 122 (delta 36), reused 86 (delta 29), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (122/122), 3.79 MiB | 20.76 MiB/s, done.\n",
"Resolving deltas: 100% (36/36), done.\n",
"Note: checking out 'b30e779ab0ff90e37e5c56795066a30804816e13'.\n",
"\n",
"You are in 'detached HEAD' state. You can look around, make experimental\n",
"changes and commit them, and you can discard any commits you make in this\n",
"state without impacting any branches by performing another checkout.\n",
"\n",
"If you want to create a new branch to retain commits you create, you may\n",
"do so (now or later) by using -b with the checkout command again. Example:\n",
"\n",
" git checkout -b <new-branch-name>\n",
"\n",
"gds/user_analog_project_wrapper_empty.gds.gz -> gds/user_analog_project_wrapper_empty.gds\n",
"gds/user_project_wrapper_empty.gds.gz -> gds/user_project_wrapper_empty.gds\n",
"All files are uncompressed!\n",
"OpenLane: 00da77e58c86a2fa745dafc2f4b277191cb8d3ac\n",
"caravel_user_project: b3ac77dd3737f2aa461199484538fd91c363deed\n",
"caravel-lite: 477c17fb986b0d3f7f3581e940095b68bd62422f\n",
"caravel_mgmt_soc_litex: 3fee299f8177cebf7919eb0e6da7f0f5ad7af31d\n",
"mpw_precheck: b30e779ab0ff90e37e5c56795066a30804816e13\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Run OpenLane Flow\n",
"\n",
"- disable CVC because of https://github.com/hdl/conda-eda/issues/174\n",
"- allow mismatches because of https://github.com/The-OpenROAD-Project/OpenLane/issues/923\n",
"- disable LVS fatal error because of https://github.com/efabless/caravel_user_project/issues/105"
],
"metadata": {
"id": "Nrt1yS_u1_m4"
}
},
{
"cell_type": "code",
"source": [
"import os\n",
"PATH=os.environ['PATH']\n",
"%env PDK_ROOT=/usr/local/share/pdk\n",
"%env OPENLANE_ROOT=/content/OpenLane\n",
"%env CARAVEL_ROOT=/content/caravel_user_project/caravel\n",
"%env MGMT_ROOT=/content/caravel_user_project/mgmt_core_wrapper\n",
"%env PATH={PATH}:/content/OpenLane:/content/OpenLane/scripts\n",
"%env TCLLIBPATH=/usr/share/tcltk\n",
"%env OPENLANE_LOCAL_INSTALL=1\n",
"!cd caravel_user_project/openlane && \\\n",
" flow.tcl -design user_project_wrapper \\\n",
" -override_env RUN_CVC=0,MISMATCHES_OK=1,QUIT_ON_LVS_ERROR=0"
],
"metadata": {
"id": "VP60fdObiP15",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "f0ff5879-d22d-4655-d806-b31e0ab75bd7"
},
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"env: PDK_ROOT=/usr/local/share/pdk\n",
"env: OPENLANE_ROOT=/content/OpenLane\n",
"env: CARAVEL_ROOT=/content/caravel_user_project/caravel\n",
"env: MGMT_ROOT=/content/caravel_user_project/mgmt_core_wrapper\n",
"env: PATH=/opt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/tools/node/bin:/tools/google-cloud-sdk/bin:/content/OpenLane:/content/OpenLane/scripts\n",
"env: TCLLIBPATH=/usr/share/tcltk\n",
"env: OPENLANE_LOCAL_INSTALL=1\n",
"OpenLane 00da77e58c86a2fa745dafc2f4b277191cb8d3ac\n",
"All rights reserved. (c) 2020-2022 Efabless Corporation and contributors.\n",
"Available under the Apache License, version 2.0. See the LICENSE file for more details.\n",
"\n",
"\u001b[36m[INFO]: Using design configuration at /content/caravel_user_project/openlane/user_project_wrapper/config.tcl\u001b[39m\n",
"\u001b[36m[INFO]: Sourcing Configurations from /content/caravel_user_project/openlane/user_project_wrapper/config.tcl\u001b[39m\n",
"\u001b[36m[INFO]: PDKs root directory: /usr/local/share/pdk\u001b[39m\n",
"\u001b[36m[INFO]: PDK: sky130A\u001b[39m\n",
"\u001b[36m[INFO]: Setting PDKPATH to /usr/local/share/pdk/sky130A\u001b[39m\n",
"\u001b[36m[INFO]: Standard Cell Library: sky130_fd_sc_hd\u001b[39m\n",
"\u001b[36m[INFO]: Optimization Standard Cell Library is set to: sky130_fd_sc_hd\u001b[39m\n",
"\u001b[36m[INFO]: Sourcing Configurations from /content/caravel_user_project/openlane/user_project_wrapper/config.tcl\u001b[39m\n",
"\u001b[36m[INFO]: Current run directory is /content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49\u001b[39m\n",
"\u001b[36m[INFO]: Preparing LEF Files...\u001b[39m\n",
"\u001b[36m[INFO]: Looking for files defined in ::env(EXTRA_GDS_FILES) /content/caravel_user_project/openlane/user_project_wrapper/../../gds/user_proj_example.gds ...\u001b[39m\n",
"\u001b[36m[INFO]: /content/caravel_user_project/openlane/user_project_wrapper/../../gds/user_proj_example.gds exists.\u001b[39m\n",
"\u001b[33m[WARNING]: OpenLane may not function properly: Failed to compare PDKs.\n",
"Could not find SOURCES file for the installed sky130A PDK.\n",
"Traceback (most recent call last):\n",
" File \"/content/OpenLane/dependencies/verify_versions.py\", line 74, in verify_versions\n",
" sources_str = open(sources_file).read()\n",
"FileNotFoundError: [Errno 2] No such file or directory: '/usr/local/share/pdk/sky130A/SOURCES'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/content/OpenLane/dependencies/verify_versions.py\", line 77, in verify_versions\n",
" \"Could not find SOURCES file for the installed sky130A PDK.\"\n",
"Exception: Could not find SOURCES file for the installed sky130A PDK.\n",
"\u001b[39m\n",
"[STEP 1]\n",
"\u001b[36m[INFO]: Running Synthesis...\u001b[39m\n",
"[STEP 2]\n",
"\u001b[36m[INFO]: Running Static Timing Analysis...\u001b[39m\n",
"\u001b[36m[INFO]: Creating a netlist with power/ground pins.\u001b[39m\n",
"[STEP 3]\n",
"\u001b[36m[INFO]: Running Initial Floorplanning...\u001b[39m\n",
"\u001b[36m[INFO]: Setting Core Dimensions...\u001b[39m\n",
"[STEP 4]\n",
"\u001b[36m[INFO]: Running IO Placement...\u001b[39m\n",
"[STEP 5]\n",
"\u001b[36m[INFO]: Performing Manual Macro Placement...\u001b[39m\n",
"\u001b[33m[WARNING]: Skipping Tap/Decap Insertion.\u001b[39m\n",
"\u001b[36m[INFO]: Power planning with power {vccd1 vccd2 vdda1 vdda2} and ground {vssd1 vssd2 vssa1 vssa2}...\u001b[39m\n",
"\u001b[36m[INFO]: Connecting mprj to vccd1 and vssd1 nets.\u001b[39m\n",
"[STEP 6]\n",
"\u001b[36m[INFO]: Generating PDN...\u001b[39m\n",
"\u001b[33m[WARNING]: All internal macros will not be connected to power.\u001b[39m\n",
"[STEP 7]\n",
"\u001b[36m[INFO]: Generating PDN...\u001b[39m\n",
"\u001b[33m[WARNING]: All internal macros will not be connected to power.\u001b[39m\n",
"[STEP 8]\n",
"\u001b[36m[INFO]: Generating PDN...\u001b[39m\n",
"\u001b[33m[WARNING]: All internal macros will not be connected to power.\u001b[39m\n",
"[STEP 9]\n",
"\u001b[36m[INFO]: Generating PDN...\u001b[39m\n",
"[STEP 10]\n",
"\u001b[36m[INFO]: Performing Random Global Placement...\u001b[39m\n",
"\u001b[36m[INFO]: Skipping Resizer Design Optimizations.\u001b[39m\n",
"[STEP 11]\n",
"\u001b[36m[INFO]: Running Detailed Placement...\u001b[39m\n",
"[STEP 12]\n",
"\u001b[36m[INFO]: Skipping Resizer Timing Optimizations.\u001b[39m\n",
"\u001b[36m[INFO]: Routing...\u001b[39m\n",
"\u001b[36m[INFO]: Skipping Resizer Timing Optimizations.\u001b[39m\n",
"[STEP 13]\n",
"\u001b[36m[INFO]: Running Detailed Placement...\u001b[39m\n",
"[STEP 14]\n",
"[STEP 15]\n",
"\u001b[36m[INFO]: Running Global Routing...\u001b[39m\n",
"[STEP 16]\n",
"\u001b[36m[INFO]: Writing Verilog...\u001b[39m\n",
"[STEP 17]\n",
"\u001b[36m[INFO]: Running Detailed Routing...\u001b[39m\n",
"\u001b[36m[INFO]: No DRC violations after detailed routing.\u001b[39m\n",
"[STEP 18]\n",
"\u001b[36m[INFO]: Writing Verilog...\u001b[39m\n",
"[STEP 19]\n",
"\u001b[36m[INFO]: Running SPEF Extraction...\u001b[39m\n",
"[STEP 20]\n",
"\u001b[36m[INFO]: Running SPEF Extraction...\u001b[39m\n",
"[STEP 21]\n",
"\u001b[36m[INFO]: Running SPEF Extraction...\u001b[39m\n",
"[STEP 22]\n",
"\u001b[36m[INFO]: Running Static Timing Analysis...\u001b[39m\n",
"[STEP 23]\n",
"\u001b[36m[INFO]: Running Static Timing Analysis...\u001b[39m\n",
"[STEP 24]\n",
"\u001b[36m[INFO]: Running Magic to generate various views...\u001b[39m\n",
"\u001b[36m[INFO]: Streaming out GDS-II with Magic...\u001b[39m\n",
"\u001b[36m[INFO]: Generating MAGLEF views...\u001b[39m\n",
"[STEP 25]\n",
"\u001b[36m[INFO]: Streaming out GDS-II with Klayout...\u001b[39m\n",
"[STEP 26]\n",
"\u001b[36m[INFO]: Running XOR on the layouts using Klayout...\u001b[39m\n",
"[STEP 27]\n",
"\u001b[36m[INFO]: Running Magic Spice Export from LEF...\u001b[39m\n",
"[STEP 28]\n",
"\u001b[36m[INFO]: Writing Powered Verilog...\u001b[39m\n",
"[STEP 29]\n",
"\u001b[36m[INFO]: Writing Verilog...\u001b[39m\n",
"[STEP 30]\n",
"\u001b[36m[INFO]: Running LEF LVS...\u001b[39m\n",
"[STEP 31]\n",
"\u001b[36m[INFO]: Running Magic DRC...\u001b[39m\n",
"\u001b[36m[INFO]: Converting Magic DRC Violations to Magic Readable Format...\u001b[39m\n",
"\u001b[36m[INFO]: Converting Magic DRC Violations to Klayout XML Database...\u001b[39m\n",
"\u001b[36m[INFO]: Converting TritonRoute DRC Violations to Klayout XML Database...\u001b[39m\n",
"\u001b[36m[INFO]: Converting DRC Violations to RDB Format...\u001b[39m\n",
"\u001b[36m[INFO]: No DRC violations after GDS streaming out.\u001b[39m\n",
"\u001b[36m[INFO]: Running Antenna Checks...\u001b[39m\n",
"[STEP 32]\n",
"\u001b[36m[INFO]: Running OpenROAD Antenna Rule Checker...\u001b[39m\n",
"\u001b[36m[INFO]: Skipping CVC...\u001b[39m\n",
"\u001b[36m[INFO]: Saving final set of views in '/content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49/results/final'...\u001b[39m\n",
"\u001b[36m[INFO]: Saving runtime environment...\u001b[39m\n",
"\u001b[36m[INFO]: Generating Final Summary Report...\u001b[39m\n",
"\u001b[36m[INFO]: Design Name: user_project_wrapper\n",
"Run Directory: /content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49\n",
"----------------------------------------\n",
"\n",
"Magic DRC Summary:\n",
"Source: /content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49/reports/finishing/drc.rpt\n",
"Total Magic DRC violations is 0\n",
"----------------------------------------\n",
"\n",
"LVS Summary:\n",
"Source: /content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49/logs/finishing/30-user_project_wrapper.lvs.lef.log\n",
" net count difference = 0\n",
" unmatched nets = 0\n",
"Total errors = 2\n",
"----------------------------------------\n",
"\n",
"Antenna Summary:\n",
"Source: /content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49/reports/finishing/antenna.rpt\n",
"Number of pins violated: 0\n",
"Number of nets violated: 0\u001b[39m\n",
"\u001b[36m[INFO]: check full report here: /content/caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49/reports/final_summary_report.csv\u001b[39m\n",
"\u001b[33m[WARNING]: There are max slew violations in the design at the typical corner. Please refer to 'user_project_wrapper/runs/RUN_2022.03.16_08.49.49/reports/routing/22-parasitics_sta.slew.rpt'.\u001b[39m\n",
"\u001b[36m[INFO]: There are no hold violations in the design at the typical corner.\u001b[39m\n",
"\u001b[36m[INFO]: There are no setup violations in the design at the typical corner.\u001b[39m\n",
"\u001b[32m[SUCCESS]: Flow complete.\u001b[39m\n",
"\u001b[36m[INFO]: Note that the following warnings have been generated:\u001b[39m\n",
"[WARNING]: OpenLane may not function properly: Failed to compare PDKs.\n",
"Could not find SOURCES file for the installed sky130A PDK.\n",
"Traceback (most recent call last):\n",
" File \"/content/OpenLane/dependencies/verify_versions.py\", line 74, in verify_versions\n",
" sources_str = open(sources_file).read()\n",
"FileNotFoundError: [Errno 2] No such file or directory: '/usr/local/share/pdk/sky130A/SOURCES'\n",
"\n",
"During handling of the above exception, another exception occurred:\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/content/OpenLane/dependencies/verify_versions.py\", line 77, in verify_versions\n",
" \"Could not find SOURCES file for the installed sky130A PDK.\"\n",
"Exception: Could not find SOURCES file for the installed sky130A PDK.\n",
"\n",
"[WARNING]: Skipping Tap/Decap Insertion.\n",
"[WARNING]: All internal macros will not be connected to power.\n",
"[WARNING]: All internal macros will not be connected to power.\n",
"[WARNING]: All internal macros will not be connected to power.\n",
"[WARNING]: There are max slew violations in the design at the typical corner. Please refer to 'user_project_wrapper/runs/RUN_2022.03.16_08.49.49/reports/routing/22-parasitics_sta.slew.rpt'.\n",
"\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import pathlib\n",
"gdss = sorted(pathlib.Path('caravel_user_project/openlane/user_project_wrapper/runs').glob('*/results/final/gds/*.gds'))\n",
"print(gdss)\n",
"\n",
"import gdstk\n",
"library = gdstk.read_gds(gdss[0])\n",
"top_cells = library.top_level()\n",
"top_cells[0].write_svg('user_project_wrapper.svg')\n",
"\n",
"import svgutils.transform as sg\n",
"fig = sg.fromfile('user_project_wrapper.svg')\n",
"fig.set_size(('500px', '500px'))\n",
"fig.save(\"user_project_wrapper_scaled.svg\")\n",
"\n",
"import cairosvg\n",
"cairosvg.svg2png(url='user_project_wrapper_scaled.svg', write_to='user_project_wrapper_scaled.png')\n",
"\n",
"from IPython.display import Image\n",
"Image('user_project_wrapper_scaled.png')"
],
"metadata": {
"id": "WOnhdtp3ivRi",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 534
},
"outputId": "15f79648-78e5-44c7-9fce-639fdbad5766"
},
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[PosixPath('caravel_user_project/openlane/user_project_wrapper/runs/RUN_2022.03.16_08.49.49/results/final/gds/user_project_wrapper.gds')]\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<IPython.core.display.Image object>"
],
"image/png": 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\n"
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "code",
"source": [
"!cp {gdss[0]} /content/caravel_user_project/gds/\n",
"!echo \"# Caravel User Project With Conda\" > /content/caravel_user_project/README.md\n",
"%env PDK_ROOT=/usr/local/share/pdk\n",
"%env GOLDEN_CARAVEL=/content/caravel_user_project/caravel\n",
"!cd mpw_precheck && python mpw_precheck.py -p $PDK_ROOT -i /content/caravel_user_project"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "L48eWdeYichp",
"outputId": "bef2294b-adf0-48b0-f60a-f63f604865b4"
},
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"env: PDK_ROOT=/usr/local/share/pdk\n",
"env: GOLDEN_CARAVEL=/content/caravel_user_project/caravel\n",
"{{EXTRACTING FILES}} Extracting compressed files in: /content/caravel_user_project\n",
"{{Project Type Info}} digital\n",
"{{Project GDS Info}} user_project_wrapper: acdb9b8328c731d0ba7bec7e4c36c877e779d9c5\n",
"{{Tools Info}} KLayout: v0.27.8 | Magic: v8.3.274\n",
"fatal: cannot change to '/usr/local/share/pdk/open_pdks': No such file or directory\n",
"\u001b[31mMPW Precheck failed to get Open PDKs & Skywater PDK versions: Command '['git', '-C', '/usr/local/share/pdk/open_pdks', 'rev-parse', '--verify', 'HEAD']' returned non-zero exit status 128.\u001b[0m\n",
"{{START}} Precheck Started, the full log 'precheck.log' will be located in '/content/caravel_user_project/precheck_results/16_MAR_2022___09_12_11/logs'\n",
"{{PRECHECK SEQUENCE}} Precheck will run the following checks: [License, Makefile, Default, Documentation, Consistency, XOR, Magic DRC, Klayout FEOL, Klayout BEOL, Klayout Offgrid, Klayout Metal Minimum Clear Area Density, Klayout Pin Label Purposes Overlapping Drawing, Klayout ZeroArea]\n",
"{{STEP UPDATE}} Executing Check 1 of 13: License\n",
"An approved LICENSE (Apache-2.0) was found in /content/caravel_user_project.\n",
"{{MAIN LICENSE CHECK PASSED}} An approved LICENSE was found in project root.\n",
"An approved LICENSE (Apache-2.0) was found in /content/caravel_user_project.\n",
"An approved LICENSE (Apache-2.0) was found in /content/caravel_user_project.\n",
"An approved LICENSE (Apache-2.0) was found in /content/caravel_user_project.\n",
"{{SUBMODULES LICENSE CHECK PASSED}} No prohibited LICENSE file(s) was found in project submodules\n",
"{{SPDX COMPLIANCE CHECK PASSED}} Project is compliant with the SPDX Standard\n",
"{{STEP UPDATE}} Executing Check 2 of 13: Makefile\n",
"{{MAKEFILE CHECK PASSED}} Makefile valid.\n",
"{{STEP UPDATE}} Executing Check 3 of 13: Default\n",
"{{README DEFAULT CHECK PASSED}} Project 'README.md' was modified and is not identical to the default 'README.md'\n",
"{{CONTENT DEFAULT CHECK PASSED}} Project 'gds' was modified and is not identical to the default 'gds'\n",
"{{STEP UPDATE}} Executing Check 4 of 13: Documentation\n",
"{{DOCUMENTATION CHECK PASSED}} Project documentation is appropriate.\n",
"{{STEP UPDATE}} Executing Check 5 of 13: Consistency\n",
"HIERARCHY CHECK PASSED: Module user_project_wrapper is instantiated in caravel. \n",
"COMPLEXITY CHECK PASSED: Netlist caravel contains at least 8 instances (90 instances). \n",
"MODELING CHECK PASSED: Netlist caravel is structural.\n",
"SUBMODULE HOOKS CHECK PASSED: All module ports for user_project_wrapper are correctly connected in the top level netlist caravel.\n",
"POWER CONNECTIONS CHECK PASSED: All instances in caravel are connected to power\n",
"{{NETLIST CONSISTENCY CHECK PASSED}} caravel netlist passed all consistency checks.\n",
"PORTS CHECK PASSED: Netlist user_project_wrapper ports match the golden wrapper ports\n",
"COMPLEXITY CHECK PASSED: Netlist user_project_wrapper contains at least 1 instances (1 instances). \n",
"MODELING CHECK PASSED: Netlist user_project_wrapper is structural.\n",
"LAYOUT CHECK PASSED: The GDS layout for user_project_wrapper matches the provided structural netlist.\n",
"POWER CONNECTIONS CHECK PASSED: All instances in user_project_wrapper are connected to power\n",
"PORT TYPES CHECK PASSED: Netlist user_project_wrapper port types match the golden wrapper port types.\n",
"{{NETLIST CONSISTENCY CHECK PASSED}} user_project_wrapper netlist passed all consistency checks.\n",
"{{CONSISTENCY CHECK PASSED}} The user netlist and the top netlist are valid.\n",
"{{STEP UPDATE}} Executing Check 6 of 13: XOR\n",
"{{XOR CHECK UPDATE}} Total XOR differences: 0, for more details view /content/caravel_user_project/precheck_results/16_MAR_2022___09_12_11/outputs/user_project_wrapper.xor.gds\n",
"{{XOR CHECK PASSED}} The GDS file has no XOR violations.\n",
"{{STEP UPDATE}} Executing Check 7 of 13: Magic DRC\n",
"Found 0 violations\n",
"0 DRC violations\n",
"{{MAGIC DRC CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{STEP UPDATE}} Executing Check 8 of 13: Klayout FEOL\n",
"No DRC Violations found\n",
"{{Klayout FEOL CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{STEP UPDATE}} Executing Check 9 of 13: Klayout BEOL\n",
"No DRC Violations found\n",
"{{Klayout BEOL CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{STEP UPDATE}} Executing Check 10 of 13: Klayout Offgrid\n",
"No DRC Violations found\n",
"{{Klayout Offgrid CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{STEP UPDATE}} Executing Check 11 of 13: Klayout Metal Minimum Clear Area Density\n",
"No DRC Violations found\n",
"{{Klayout Metal Minimum Clear Area Density CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{STEP UPDATE}} Executing Check 12 of 13: Klayout Pin Label Purposes Overlapping Drawing\n",
"No DRC Violations found\n",
"{{Klayout Pin Label Purposes Overlapping Drawing CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{STEP UPDATE}} Executing Check 13 of 13: Klayout ZeroArea\n",
"No DRC Violations found\n",
"{{Klayout ZeroArea CHECK PASSED}} The GDS file, user_project_wrapper.gds, has no DRC violations.\n",
"{{FINISH}} Executing Finished, the full log 'precheck.log' can be found in '/content/caravel_user_project/precheck_results/16_MAR_2022___09_12_11/logs'\n",
"{{SUCCESS}} All Checks Passed !!!\n"
]
}
]
}
]
}
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