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
64
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
450
AIか何かについて.pdf
kunou
0
41
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
1.2k
ZIP!!
kunou
0
190
zip
kunou
0
520
Make Mouse
kunou
0
650
RubyのProcのあれをこうしました
kunou
0
100
esm lt Clojure like threading macro
kunou
0
470
Other Decks in Technology
See All in Technology
OCI技術資料 : コンピュート・サービス 概要
ocise
4
54k
NewSQL_ ストレージ分離と分散合意を用いたスケーラブルアーキテクチャ
hacomono
PRO
4
390
楽しく学ぼう!ネットワーク入門
shotashiratori
4
3.4k
S3はフラットである –AWS公式SDKにも存在した、 署名付きURLにおけるパストラバーサル脆弱性– / JAWS DAYS 2026
flatt_security
0
1.8k
[E2]CCoEはAI指揮官へ。Bedrock×MCPで構築するコスト・セキュリティ自律運用基盤
taku1418
0
190
品質を経営にどう語るか #jassttokyo / Communicating the Strategic Value of Quality to Executive Leadership
kyonmm
PRO
2
440
めちゃくちゃ開発するQAエンジニアになって感じたメリットとこれからの課題感
ryuhei0000yamamoto
0
120
頼れる Agentic AI を支える Datadog のオブザーバビリティ / Powering Reliable Agentic AI with Datadog Observability
aoto
PRO
0
200
The_Evolution_of_Bits_AI_SRE.pdf
nulabinc
PRO
0
240
決済サービスを支えるElastic Cloud - Elastic Cloudの導入と推進、決済サービスのObservability
suzukij
2
660
VPCエンドポイント意外とお金かかるなぁ。せや、共有したろ!
tommy0124
1
680
Claude Code のコード品質がばらつくので AI に品質保証させる仕組みを作った話 / A story about building a mechanism to have AI ensure quality, because the code quality from Claude Code was inconsistent
nrslib
13
8.6k
Featured
See All Featured
Google's AI Overviews - The New Search
badams
0
930
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
2.8k
The Language of Interfaces
destraynor
162
26k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.1k
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
1
2.4k
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
0
240
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
73
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
38
2.8k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
100
Mobile First: as difficult as doing things right
swwweet
225
10k
Amusing Abliteration
ianozsvald
0
130
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)