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(defn min-cps [args ret]
  (ret (apply min args)))
(defn plus-cps [args ret]
  (ret (apply + args)))
(defn multiply-cps [args ret]
  (ret (apply * args)))
(defn equals-cps [a b ret]
  (ret (= a b)))

(defn toplevel-levenshtein-cps-memoize [x y]

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;;; implementation in clojure of the levenshtein allison algorithm as defined here:
;;; http://www.csse.monash.edu.au/~lloyd/tildeFP/Haskell/1998/Edit01/

(defn min3 [w nw n]
  (if (< w nw) w (min nw n)))

(defn generate-diagonale [a b nw fn-diag-above fn-diag-below start]
  (if start
    (lazy-cat (list nw) (generate-diagonale a b nw fn-diag-above fn-diag-below false))
    (if (or (empty? a) (empty? b)) '()

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(ns mynamespace.dt
  (:use clojure.set)

  (:use [datomic.api :only [q db] :as d])
  (:use clojure.pprint)
  )

;;; http://www.lshift.net/blog/2010/08/21/some-relational-algebra-with-datatypes-in-clojure-12

(defrecord Supplier [number name status city])

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(defn datomic-group-fds-by-fd-id [fd-v & {:keys [id-fn] :or {id-fn :hash}}]
  (q '[:find ?fd-id (into [] ?fd)
       :in $fd-v
       :where
       [$fd-v ?fd ?fd-id]
       ]
      (maps->rel fd-v [id-fn])))

(defn datomic-get-redundant-files [grouped-fds-by-fd-id & {:keys [id-fn] :or {id-fn :hash}}]
  (q '[:find ?fd-v-g

cs224

;;; The solution relies on the following implementation of the partitions function:
;;; https://gist.github.com/ray1729/5830608

(defn partition-combination-sets [partition]
  (let [partition (vec partition)
        c (count partition)]
    (for [i (range 1 (inc c))
          combination (combinatorics/combinations (range c) i)]
      ;; the following (map partition combination) may be a bit confusing, because it does use the vector
      ;; defined above as a function and has nothing to do with the standard partition function of the clojure core language.

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(ns experiment.incanter
  (:require [incanter.core :as i]))


(def join-dataset-1 (i/dataset [:id :vehicle-type]
                               [[1 "car"]
                                [2 "motor-bike"]
                                [3 "train"]]))
;;;(i/view join-dataset-1)
(def join-dataset-2 (i/dataset [:id :number-wheels]

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package xaresource;

import static org.hamcrest.CoreMatchers.is;
import static org.junit.Assert.assertThat;
import static org.junit.Assert.fail;

import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.nio.charset.StandardCharsets;

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package control.structures.continuations.quasarFiberChannelSameThread;

import java.io.Serializable;
import java.util.Iterator;
import java.util.NoSuchElementException;

import co.paralleluniverse.fibers.SuspendExecution;
import co.paralleluniverse.strands.Strand.State;
import co.paralleluniverse.strands.SuspendableCallable;

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import math
import pyjags
import numpy as np
import pandas as pd

np.random.seed(0)
np.set_printoptions(precision=3)

def pyjags_trace():

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import numpy as np, pandas as pd, matplotlib.pyplot as plt, seaborn as sns
import scipy.stats as stats
from theano import tensor as tt
import pymc3 as pm
from pymc3.distributions.dist_math import bound, logpow, gammaln
from pymc3.distributions.distribution import draw_values, generate_samples

SEED = 5132290 # from random.org
np.random.seed(SEED)