geoffreygarrett

#!/usr/bin/env gawk -f
# deno_dependency_analyzer.sh
#
# Description:
#   This Gawk script parses the output from 'deno info', extracts dependencies along with their sizes,
#   converts all sizes to megabytes (MB), aggregates sizes by unique paths, and lists the top 10 largest
#   dependencies sorted by size in descending order.

# Execute 'deno info' with provided import map and script, and process the output with gawk
deno info --import-map "$IMPORT_MAP" "$DENO_SCRIPT" | gawk '

geoffreygarrett

#!/usr/bin/env gawk -f
# deno_dependency_analyzer.awk
#
# Usage:
#   deno info --import-map ./import_map.json <your_deno_script>.ts | gawk -f deno_dependency_analyzer.awk
#
# Description:
#   This Gawk script parses the output from 'deno info', extracts dependencies along with their sizes,
#   converts all sizes to megabytes (MB), aggregates sizes by unique paths, and lists the top 10 largest
#   dependencies sorted by size in descending order.

geoffreygarrett

"""
Symbolic, auto differentiated implementation of the STTS in [1]

References:
    [1] https://arc.aiaa.org/doi/full/10.2514/1.G003897

"""

import itertools

geoffreygarrett

from sympy import symbols, Matrix, diff, lambdify
import numpy as np


# Compute the 1st-order State Transition Tensor
def dfdx(eom, wrt, at):
    u = eom.subs(at).evalf()
    m = len(u) if hasattr(u, "__len__") else 1
    n = len(wrt)
    t2 = np.zeros((m, n))

geoffreygarrett

// include for size_t
#include <Eigen/Core>
#include <tuple>
//#include <unsupported/Eigen/CXX11/Tensor>

//#ifdef ODIN_AUTODIFF
//#define ODIN_CONST
#include <autodiff/forward/dual.hpp>
#include <autodiff/forward/dual/eigen.hpp>

geoffreygarrett

bazel run --tool_tag=ijwb:CLion --curses=no --color=yes --progress_in_terminal_title=no -- //odin/examples:example_autodiff_stts
WARNING: ========================================================
WARNING: ||                                                    ||
WARNING: ||              ██████╗  ██████╗ ██████╗              ||
WARNING: ||              ██╔══██╗██╔═══██╗██╔══██╗             ||
WARNING: ||              ██████╔╝██║   ██║██████╔╝             ||
WARNING: ||              ██╔══██╗██║   ██║██╔══██╗             ||
WARNING: ||              ██████╔╝╚██████╔╝██║  ██║             ||
WARNING: ||              ╚═════╝  ╚═════╝ ╚═╝  ╚═╝             ||
WARNING: ||                                                    ||

geoffreygarrett

C++ : Polymorphic inheritance without vtable

Inheritance and Virtual Table are often used to create interface in C++ polymorphic class
What if ... there were another way to do this ?
easier, cleaner, faster and more reliable
This article explains how to use CRTP, [std::variant](https://en.cppreference.com/w/cpp/utility/variant and std::visit to increase code performance.

Table of content

1. Introduction

geoffreygarrett

      - name: Setup PkgConfig (Windows)
        if: runner.os == 'Windows'
        env:
          PKG_CONFIG_ZIP: "http://ftp.gnome.org/pub/gnome/binaries/win32/dependencies/pkg-config_0.26-1_win32.zip"
          GETTEXT_RUNTIME_ZIP: "http://ftp.gnome.org/pub/gnome/binaries/win32/dependencies/gettext-runtime_0.18.1.1-2_win32.zip"
          GLIB_ZIP: "http://ftp.gnome.org/pub/gnome/binaries/win32/glib/2.28/glib_2.28.8-1_win32.zip"
        run: |
          curl -LO "${{ env.PKG_CONFIG_ZIP }}"
          7z x pkg-config_0.26-1_win32.zip -oC:\MinGW\bin pkg-config.exe
          curl -LO "${{ env.GETTEXT_RUNTIME_ZIP }}"

geoffreygarrett

"""

Function to scrape all tables from a URL to pandas DataFrame objects. The
default URL is the Wikipedia page for Orbital Launch Systems.

"""

import pandas as pd
import requests
from bs4 import BeautifulSoup as bs

geoffreygarrett

# TODO: replace event_type, token, repo and optional_json.
curl -H "Authorization: token {{ token }}" \
     -H 'Accept: application/vnd.github.everest-preview+json' \
     "https://api.github.com/repos/{{ owner }}/{{ repo }}/dispatches" \
     -d '{"event_type": "{{ event_type }}", "client_payload": {{ optional_json | {} }}}'