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user=> (def plants-in-lalbagh ["Amherstia Nobilis" "Adansonia digitata" "Ficus bengalensis var - krishnae" "Araucaria Cookie" "Bombax Ceiba"])
#'user/plants-in-lalbagh
user=>

user=> (nth plants-in-lalbagh 2)
"Ficus bengalensis var - krishnae"
user=> (get plants-in-lalbagh 2)
"Ficus bengalensis var - krishnae"
user=> (conj plants-in-lalbagh "eucalyptus")
["Amherstia Nobilis" "Adansonia digitata" "Ficus bengalensis var - krishnae" "Araucaria Cookie" "Bombax Ceiba" "eucalyptus"]

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user=> (def split_str (str/split "Any man whose errors take 10 years to correct is quite the man." #" "))
#'user/split_str
user=> (str/join ", " split_str)
"Any, man, whose, errors, take, 10, years, to, correct, is, quite, the, man."
user=>

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#[macro_use]
extern crate yew;
use yew::prelude::*;

struct Model {
    hello: String,
}

enum Msg {
    DoIt,

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def neo4j_most_similar(model, key):
    with driver.session() as session:
        find_movie_query = "MATCH (m:MovieId {name: '%s'}) return id(m)" % key
        result = session.run(find_movie_query)
        for r in result:
            similar_movies = model.most_similar(str(r.value()))
            for s_movie in similar_movies:
                find_movie_query = "MATCH (m:MovieId) where id(m) = %s return m.name" % s_movie[0]
                similar_movie_names = session.run(find_movie_query)
                for sm in similar_movie_names:

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from gensim.models import KeyedVectors

filename = 'emb/movies.emb'
model = KeyedVectors.load_word2vec_format(filename, binary=False)
model.most_similar('260169')

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with open("emb/movies.emb", "r") as movies_file, driver.session() as session:
    next(movies_file)
    reader = csv.reader(movies_file, delimiter=" ")

    params = []
    for row in reader:
        movie_id = row[0]
        params.append({
            "id": int(movie_id),
            "embedding": [float(item) for item in row[1:]]

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print('Create the edge list')
with driver.session() as session, open("graph/movies.edgelist", "w") as edges_file:
    result = session.run("""\
    MATCH (m:MovieId)--(other)
    RETURN id(m) AS source, id(other) AS target
    """)

    writer = csv.writer(edges_file, delimiter=" ")

    for row in result:

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print('Create the movieid-belongsto->genres relationship')
with driver.session() as session:
    with open('movies.csv') as f:
        reader = csv.DictReader(f, delimiter=",")
        for line in reader:
            movieid = line['movieId']
            genres = line['genres'].split('|')
            movies = {"records": [{'movieId': movieid, 'genres': genres}]}
            create_movie_genre_relationship = '''
                UNWIND {records} as record

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import Dependencies._

lazy val nd4jVersion = "0.7.2"

lazy val root = (project in file(".")).
  settings(
    inThisBuild(List(
      organization := "com.example",
      scalaVersion := "2.12.5",
    )),

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