Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
ネットワークグラフを作成する
Search
kunou
July 06, 2018
Technology
0
58
ネットワークグラフを作成する
kunou
July 06, 2018
Tweet
Share
More Decks by kunou
See All by kunou
GANについて
kunou
0
440
AIか何かについて.pdf
kunou
0
39
Pythonを書いていておーマジかーと感じたあれこれ
kunou
1
730
Rubyで機械学習してみた
kunou
1
1.1k
ZIP!!
kunou
0
180
zip
kunou
0
510
Make Mouse
kunou
0
640
RubyのProcのあれをこうしました
kunou
0
99
esm lt Clojure like threading macro
kunou
0
440
Other Decks in Technology
See All in Technology
Delegating the chores of authenticating users to Keycloak
ahus1
0
140
LangSmith×Webhook連携で実現するプロンプトドリブンCI/CD
sergicalsix
1
230
FOSS4G 2025 KANSAI QGISで点群データをいろいろしてみた
kou_kita
0
400
生まれ変わった AWS Security Hub (Preview) を紹介 #reInforce_osaka / reInforce New Security Hub
masahirokawahara
0
470
2025 AWS Jr. Championが振り返るAWS Summit
kazukiadachi
0
110
united airlines ™®️ USA Contact Numbers: Complete 2025 Support Guide
flyunitedhelp
1
310
LangChain Interrupt & LangChain Ambassadors meetingレポート
os1ma
2
310
IPA&AWSダブル全冠が明かす、人生を変えた勉強法のすべて
iwamot
PRO
2
130
無意味な開発生産性の議論から抜け出すための予兆検知とお金とAI
i35_267
4
13k
20250707-AI活用の個人差を埋めるチームづくり
shnjtk
4
3.8k
「クラウドコスト絶対削減」を支える技術—FinOpsを超えた徹底的なクラウドコスト削減の実践論
delta_tech
4
170
開発生産性を組織全体の「生産性」へ! 部門間連携の壁を越える実践的ステップ
sudo5in5k
2
7.1k
Featured
See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
181
54k
Build your cross-platform service in a week with App Engine
jlugia
231
18k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
31
1.3k
Intergalactic Javascript Robots from Outer Space
tanoku
271
27k
jQuery: Nuts, Bolts and Bling
dougneiner
63
7.8k
How STYLIGHT went responsive
nonsquared
100
5.6k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
233
17k
How to Think Like a Performance Engineer
csswizardry
25
1.7k
Code Review Best Practice
trishagee
69
18k
The Straight Up "How To Draw Better" Workshop
denniskardys
234
140k
[RailsConf 2023] Rails as a piece of cake
palkan
55
5.7k
Transcript
ωοτϫʔΫάϥϑΛੜ ͢Δ(ClojureͰ) 2018/6/15 ITS-training-camp
ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ) ͜͏͍͏ਤΛੜ͠·͢
ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ) ͜͏͍͏ਤΛੜ͠·͢
DEMO ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ίʔυશମ (ns gen-network.core) (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as
str]) (require '[loom.graph :as lg]) (require '[loom.io :as lio]) (def data-text “data.txt") (def keywords ["a" "b" "c" "d"]) (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) (defn word-relation [key list] (->> list (filter (fn [words] (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) (defn main [] (->> keywords (reduce (fn [accum keyword] (concat accum (word-relation keyword data-list))) []) )) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) (main) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ $ cat data.txt a, b c, d a, b
a, b a, b a, e c, d a, e a, d c, b e, d ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ) JavaͷΫϥεΛΠϯϙʔτ
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) clojure.stringΛ͑ΔΑ͏ʹ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) FileReaderΛॳظԽ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) BuffReaderΛॳظԽ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ߦ͝ͱʹ͚Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ϑΝΠϧΛಡΈࠐΉ (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as str]) (def
data-text "data.txt") (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ߦΛ``,``Ͱ͚ͯVectorʹ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) (word-relation "a" data-list) => (["a" "b" 4] ["a" "e" 2] ["a" "d" 1]) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => ([“a” “b”] [“c” “d”] [“a” “b”] [“a” “b”] [“a” “b”] [“a” “e”] [“c” “d”] [“a” “e”] [“a” “d”] [“c” “b”] [“e" “d"]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => (["a" "b"] ["a" "b"] ["a" "b"] ["a" "b"] ["a" "e"] ["a" "e"] ["a" "d"]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => (("b") ("b") ("b") ("b") ("e") ("e") ("d")) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => ("b" "b" "b" "b" "e" "e" "d") ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => {"b" ["b" "b" "b" "b"], "e" ["e" "e"], "d" ["d"]} ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ಡΈࠐΜͩ݁Ռ͔ΒΈ߹ΘͤճΛ͑Δ (defn word-relation [key list] (->> list (filter (fn [words]
(some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) => (["a" "b" 4] ["a" "e" 2] ["a" "d" 1]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ޙϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]
(concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ޙϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]
(concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) => (["a" "b" 4] ["a" "e" 2] ["a" "d" 1] [“b" "a" 4] ["b" "c" 1] ["c" "d" 2] ["c" "b" 1] [“d" "c" 2] ["d" "a" 1] ["d" "e" 1]) ͜͜·Ͱ࣮ߦ͢Δ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ޙϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]
(concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) άϥϑσʔλΛ࡞ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ޙϥΠϒϥϦͷྗͰ (defn main [] (->> keywords (reduce (fn [accum keyword]
(concat accum (word-relation keyword data-list))) []) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) ஔΛࢦఆͯ͠ඳը ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
ίʔυશମ (ns gen-network.core) (import '(java.io BufferedReader FileReader)) (require '[clojure.string :as
str]) (require '[loom.graph :as lg]) (require '[loom.io :as lio]) (def data-text “data.txt") (def keywords ["a" "b" "c" "d"]) (def data-list (->> (FileReader. data-text) (BufferedReader.) (line-seq) (map #(str/split % #", ")))) (defn word-relation [key list] (->> list (filter (fn [words] (some #(= % key) words))) (map (fn [words] (remove #(= key %) words))) (flatten) (group-by #(identity %)) ((fn [group] (map #(vector key (first %) (count (second %))) group))))) (defn main [] (->> keywords (reduce (fn [accum keyword] (concat accum (word-relation keyword data-list))) []) )) ; (remove (fn [x] (<= (nth x 2) 4))) (apply lg/weighted-graph) ((fn [graph] (lio/view graph :alg :fdp))))) (main) ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
·ͱΊ ͪΐͬͱͨ͠πʔϧΛ࡞Δͱ͖ͳͲɺؔܕݴޠΛ͏ͱ͘εο ΩϦ͔͚·͢ɻ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)
·ͱΊ ͪΐͬͱͨ͠πʔϧΛ࡞Δͱ͖ͳͲɺؔܕݴޠΛ͏ͱ͘εο ΩϦ͔͚·͢ɻ RubyPythonΛͬͯ͘ॻ͚·͚͢ͲͶɻ ωοτϫʔΫάϥϑΛੜ͢Δ(ClojureͰ)