alekfrohlich

# Code for plotting predictive value and precision-recall curves along with their associated confidence bands.
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
from xgboost import XGBClassifier
from sklearn.metrics import confusion_matrix

def estimator_bias(m: int, k: int) -> float:
    '''Compute bias term appearing in Lemma X.'''

alekfrohlich

"""Greatest common divisor for gaussian integers."""

def floor(x):
    return x // 1

def mult_gi(x, y):
    a, b = x
    c, d = y

    return (a*c - b*d, a*d + b*c)

alekfrohlich

# Application.
APP_NAME := main

# Directories.
ROOT    := $(abspath $(dir $(filter %Makedefs, $(MAKEFILE_LIST))))
SRC     := $(ROOT)/src
INCLUDE := $(ROOT)/include
BUILD 	:= $(ROOT)/build

# C++ Compiler and Flags.

alekfrohlich

//file: optm_vec.cc
#include <iostream>
#include <vector>

struct Vertex {
    float x, y, z;

    Vertex(float x, float y, float z)
        : x(x), y(y), z(z)
    {

alekfrohlich

#!/bin/bash

GCC=gcc-7.3.0
BINUTILS=binutils-2.30

echo installing gcc dependencies
sudo apt install -y bison
sudo apt install -y flex
sudo apt install -y libgmp3-dev
sudo apt install -y libmpc-dev

alekfrohlich

 import static java.lang.Math.*;

 public class Geo {

    private static final double  a = 6378137.0;              // WGS-84 semi-major axis
    private static final double e2 = 6.6943799901377997e-3;  // WGS-84 first eccentricity squared

    /**
     * Convert Lat, Lon, Altitude to Earth-Centered-Earth-Fixed (ECEF).
     * Input is a three element array containing lat, lon (deg) and alt (m).

alekfrohlich

import java.util.List;
import java.util.ArrayList;
import java.math.BigDecimal;
import static java.lang.Character.*;

// non-reentrant lexer
public class Lexer {

    public static enum TokenType {
        BEGIN,

alekfrohlich

\documentclass{article}
\usepackage[utf8]{inputenc}
\usepackage{graphicx,url}

\title{Three black boxes}
\author{alek.frohlich }
\date{November 2019}

\begin{document}