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import numpy as np
import gensim

def smart_procrustes_align_gensim(base_embed, other_embed, words=None):
    """Procrustes align two gensim word2vec models (to allow for comparison between same word across models).
    Code ported from HistWords <https://github.com/williamleif/histwords> by William Hamilton <wleif@stanford.edu>.
    (With help from William. Thank you!)
    First, intersect the vocabularies (see `intersection_align_gensim` documentation).
    Then do the alignment on the other_embed model.
    Replace the other_embed model's syn0 and syn0norm numpy matrices with the aligned version.

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def find_in_pq(pq, s, c):
    if get_data(pq, s) == c:
        return s
    elif get_data(pq, s) > c:
        return None
    found_below = None
    for i in children(pq, s):
        found_below = find_in_pq(pq, i, c)
        if found_below:
            return found_below

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$$\n",
    "\\begin{bmatrix}\n",
    "0 & 2 & 3 & 1\\\\\n",
    "3 & 1 & 0 & 2\\\\\n",

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#incidents_controller.rb:

if params[:commit] == I18n.t(:text_search_results)
  self.request.format = "text"
end

format.text do
  self.response.headers["Content-Type"] ||= 'text/plain'
  self.response.headers["Content-Disposition"] =
    "attachment; filename=search.txt"

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#include <stdio.h>
#include <string.h>
#include <assert.h>

#define X 0
#define Y 1
#define Z 2

#define EPSILON 0.0001