Upgrade to Pro — share decks privately, control downloads, hide ads and more …

ネットワークグラフを作成する

Avatar for kunou kunou
July 06, 2018
Technology
0
59

 ネットワークグラフを作成する

Avatar for kunou

kunou

July 06, 2018
Tweet

More Decks by kunou

See All by kunou
GANについて
Avatar for kunou kunou
0
450
AIか何かについて.pdf
Avatar for kunou kunou
0
40
Pythonを書いていておーマジかーと感じたあれこれ
Avatar for kunou kunou
1
730
Rubyで機械学習してみた
Avatar for kunou kunou
1
1.1k
ZIP!!
Avatar for kunou kunou
0
190
zip
Avatar for kunou kunou
0
520
Make Mouse
Avatar for kunou kunou
0
650
RubyのProcのあれをこうしました
Avatar for kunou kunou
0
100
esm lt Clojure like threading macro
Avatar for kunou kunou
0
450

Other Decks in Technology

See All in Technology
今この時代に技術とどう向き合うべきか
Avatar for gree_tech gree_tech
PRO
2
2.2k
生成AI時代のPythonセキュリティとガバナンス
Avatar for abenben abenben
0
120
GraphRAG グラフDBを使ったLLM生成（自作漫画DBを用いた具体例を用いて）
Avatar for sea-turt1e seaturt1e
1
120
名刺メーカーDevグループ 紹介資料
Avatar for Sansan, Inc. sansan33
PRO
0
940
会社を支える Pythonという言語戦略 ~なぜPythonを主要言語にしているのか？~
Avatar for curekoshimizu curekoshimizu
3
620
Azureコストと向き合った、4年半のリアル / Four and a half years of dealing with Azure costs
Avatar for AEON aeonpeople
1
270
Data Hubグループ 紹介資料
Avatar for Sansan, Inc. sansan33
PRO
0
2.2k
CNCFの視点で捉えるPlatform Engineering - 最新動向と展望 / Platform Engineering from the CNCF Perspective
Avatar for hhiroshell hhiroshell
0
140
ソースを読む時の思考プロセスの例-MkDocs
Avatar for Satoru Takeuchi sat
PRO
1
130
「タコピーの原罪」から学ぶ間違った”支援” / the bad support of Takopii
Avatar for piyonakajima piyonakajima
0
130
もう外には出ない。より快適なフルリモート環境を目指して
Avatar for もっち mottyzzz
13
9.5k
Dylib Hijacking on macOS: Dead or Alive?
Avatar for Patrick Wardle patrickwardle
0
460

Featured

See All Featured
It's Worth the Effort
Avatar for 3n 3n
187
28k
Building an army of robots
Avatar for Kyle Neath kneath
305
46k
The Illustrated Children's Guide to Kubernetes
Avatar for Chris Short chrisshort
49
51k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
Avatar for Eileen M. Uchitelle eileencodes
37
2.6k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
Avatar for panda_program panda_program
116
20k
Bash Introduction
Avatar for André Augusto Costa Santos 62gerente
615
210k
Product Roadmaps are Hard
Avatar for C. Todd Lombardo iamctodd
PRO
55
11k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
Avatar for Chris Coyier chriscoyier
508
140k
Save Time (by Creating Custom Rails Generators)
Avatar for Garrett Dimon garrettdimon
PRO
32
1.7k
KATA
Avatar for Megan Lloyd mclloyd
PRO
32
15k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
Avatar for Rebecca Miller-Webster rmw
35
3.2k
Building a Scalable Design System with Sketch
Avatar for Laura Van Doore lauravandoore
463
33k

Transcript

  1. ωοτϫʔΫάϥϑΛੜ ੒͢Δ(ClojureͰ) 2018/6/15 ITS-training-camp

  2. ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ) ͜͏͍͏ਤΛੜ੒͠·͢

  3. ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ) ͜͏͍͏ਤΛੜ੒͠·͢

  4. DEMO ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  5. 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) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  6. 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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  7. 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 % #", "))))
 
 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  8. 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"]) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  9. 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"]) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ) JavaͷΫϥεΛΠϯϙʔτ

  10. 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.stringΛ࢖͑ΔΑ͏ʹ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  11. 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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  12. 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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  13. 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"]) ߦ͝ͱʹ෼͚Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  14. 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``,``Ͱ෼͚ͯVectorʹ͢Δ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  15. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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))))) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  16. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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]) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  17. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  18. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  19. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  20. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  21. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  22. ಡΈࠐΜͩ݁Ռ͔Β૊Έ߹Θͤճ਺Λ਺͑Δ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  23. ޙ͸ϥΠϒϥϦͷྗͰ (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))))) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  24. ޙ͸ϥΠϒϥϦͷྗͰ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  25. ޙ͸ϥΠϒϥϦͷྗͰ (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࡞੒ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  26. ޙ͸ϥΠϒϥϦͷྗͰ (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 ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  27. 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) ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  28. ·ͱΊ ͪΐͬͱͨ͠πʔϧΛ࡞Δͱ͖ͳͲɺؔ਺ܕݴޠΛ࢖͏ͱ୹͘εο ΩϦ͔͚·͢ɻ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)

  29. ·ͱΊ ͪΐͬͱͨ͠πʔϧΛ࡞Δͱ͖ͳͲɺؔ਺ܕݴޠΛ࢖͏ͱ୹͘εο ΩϦ͔͚·͢ɻ Ruby΍PythonΛ࢖ͬͯ΋୹͘ॻ͚·͚͢ͲͶɻ ωοτϫʔΫάϥϑΛੜ੒͢Δ(ClojureͰ)