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Clojure

(ns examples.core
(:require [clojure.string :as string]
[clojure.set]
[clojure.java.io :as io]
[taoensso.nippy :as nippy]
[taoensso.timbre :as timbre]
[com.owoga.prhyme.frp :as frp]
[com.owoga.prhyme.util :as util]
[com.owoga.prhyme.core :as prhyme]
[com.owoga.prhyme.data.bigrams :as bigrams]
[com.owoga.prhyme.gen :as gen]
[com.owoga.prhyme.nlp.core :as nlp]
[com.owoga.prhyme.nlg.core :as nlg]
[com.owoga.prhyme.data.dictionary :as dict]
[com.owoga.prhyme.data.thesaurus :as thesaurus]
[com.owoga.prhyme.data.darklyrics :as darklyrics]
[com.owoga.prhyme.util.weighted-rand :as weighted-rand]
[com.owoga.prhyme.generation.weighted-selection :as weighted]
[clojure.set :as set]
[clojure.zip :as zip]
[clojure.walk :as walk]))
(defn weight-fn [word target result]
(let [rimes (frp/consecutive-matching word target :rimes)
nuclei (frp/consecutive-matching word target :nuclei)
onsets (frp/consecutive-matching word target :onsets)
total (apply + (map count [rimes nuclei onsets]))]
total))
(defn pred-fn [word target result]
(< 0 (weight-fn word target result)))
(defn weight-popular [word target result]
(if (dict/popular (:normalized-word word))
10
1))
(defn pred-popular [word target result]
(< 1 (weight-popular word target result)))
(def words-by-rime (prhyme/words-by-rime*
(filter
(fn [[word & _]]
(get
dict/popular
(string/lower-case word)))
dict/cmu-dict)))
(defn rime-1 [target]
(let [rime (last (:rimes target))]
(fn [x]
(= rime (last (:rimes x))))))
(defn rime-2 [target]
(let [rime (last (butlast (:rimes target)))]
(fn [x]
(= rime (last (butlast (:rimes x)))))))
(defn rime-member? [coll]
(let [coll (into #{} coll)]
(fn [x]
(coll (:normalized-word x)))))
(defn rime-compare [& comparators]
(let [juxtcomp (apply juxt comparators)]
(fn [a b]
(let [a (juxtcomp a)
b (juxtcomp b)]
(compare a b)))))
(def c
(fn [a b]
((rime-compare
(rime-1 {:rimes '(1 2)})
(rime-2 {:rimes '(1 2)})
(rime-member? ["foo" "bar"]))
b a)))
(comment
(let [coll [{:rimes '(3 2) :normalized-word "foo"}
{:rimes '(1 2) :normalized-word "foo"}
{:rimes '(4 5) :normalized-word "foo"}
{:rimes '(1 2) :normalized-word "buzz"}]]
(sort c coll))
(let [coll '("woman"
"union"
"passion"
"infatuation"
"emotion"
"disposition"
"communion"
"attraction"
"affection"
"adoration"
"admiration")
coll (map #(prhyme/phrase->word dict/popular %) coll)
target (prhyme/phrase->word dict/popular "devotion")
synonyms (thesaurus/synonyms "love" "heart")
comparisons (fn [target]
(fn [a b]
((rime-compare
(rime-1 target)
(rime-2 target)
(rime-member? synonyms))
b a)))]
(sort (comparisons target) coll))
)
(defn rhymestorm [& words]
(let [synonyms (->> (apply thesaurus/synonyms words)
(filter #(get dict/popular %))
(into #{}))
comparisons (fn [target]
(fn [a b]
((rime-compare
(rime-1 target)
(rime-2 target)
(rime-member? synonyms))
b a)))]
(->> synonyms
(map
(fn [synonym]
(let [word (prhyme/phrase->word dict/prhyme-dict synonym)
rhymes (get words-by-rime (last (:rimes word)))]
(when rhymes
(let [rhyming-words (map string/lower-case (prhyme/flatten-node rhymes))
rhyming-synonyms (remove #{(:normalized-word word)} (filter synonyms rhyming-words))]
[(:normalized-word word) rhyming-synonyms])))))
(remove (fn [[_ rhymes]]
(empty? rhymes)))
(map (fn [[target rhymes]]
[target (->> rhymes
(map prhyme/phrase->word dict/popular)
(sort (comparisons (prhyme/phrase->word dict/popular target)))
(map :normalized-word))]))
(into {}))))
(comment
(rhymestorm "love")
(take 3 (drop 500 dict/prhyme-dict))
(take 3 dict/cmu-dict)
(take 3 dict/popular)
(let [node (get-in words-by-rime ['("AH" "V")])]
(->> (prhyme/flatten-node node)))
(let [love-synonyms (thesaurus/thesaurus "love")
heart-synonyms (thesaurus/thesaurus "heart")]
(->> (clojure.set/intersection
(into #{} love-synonyms)
(into #{} heart-synonyms))
(map string/lower-case)
(filter #(dict/popular %))))
(let [synonyms (thesaurus/synonyms "love" "heart")]
synonyms)
(def love-rhymes
(let [synonyms (->> (thesaurus/synonyms "love" "heart")
(filter #(get dict/popular %))
(into #{}))]
(->>
(map
(fn [synonym]
(let [word (prhyme/phrase->word dict/prhyme-dict synonym)
rhymes (get words-by-rime (last (:rimes word)))]
(when rhymes
(let [rhyming-words (map string/lower-case (prhyme/flatten-node rhymes))
rhyming-synonyms (filter synonyms rhyming-words)]
[(:normalized-word word) rhyming-synonyms]))))
synonyms)
(into {}))))
(count love-rhymes)
(get-in words-by-rime ['("AH" "V")])
(weight-fn
(first (filter #(= (:normalized-word %) "gotshal's") dict/prhyme-dict))
(prhyme/phrase->word dict/prhyme-dict "bye bye")
nil)
(take 10 darklyrics/darklyrics-markov-2)
(get darklyrics/darklyrics-markov-2 '("memory" "my"))
(repeatedly
5
(fn []
(let [rhymes (gen/selection-seq
dict/prhyme-dict
(comp (weighted/adjust-for-tail-rhyme 0.90)
#_(weighted/adjust-for-rhymes 0.50)
#_(weighted/adjust-for-fn :adj-rimes 0.80 pred-fn weight-fn)
(weighted/adjust-for-fn :adj-popular 0.95 pred-popular weight-popular)
(weighted/adjust-for-markov darklyrics/darklyrics-markov-2 0.99))
(prhyme/phrase->word dict/prhyme-dict "happy birthday taylor my love"))]
(->> rhymes
(take 5)
(map :normalized-word)))))
)
(defn remove-sentences-with-words-not-in-dictionary [dictionary]
(let [dictionary (into #{} dictionary)]
(fn [sentences]
(->> sentences
(map #(string/split % #" "))
(remove #(some (complement dictionary) %))
(remove #(some string/blank? %))
(map #(string/join " " %))))))
(defn pathed-part-of-speech-word-frequencies
"Seq of pathed part-of-speech to word frequencies of each document.
{(TOP NP NN) {'test' 2 'sample' 4 ,,,}
(TOP VP VBZ) {'is' 5 'runs' 2 ,,,}
,,,}
To reduce, deep merge with +."
[documents]
(->> documents
(map slurp)
(map util/clean-text)
(filter dict/english?)
(map #(string/split % #"\n+"))
(map (remove-sentences-with-words-not-in-dictionary dict/popular))
(remove empty?)
(remove #(some empty? %))
(map nlp/treebank-zipper)
(map nlp/leaf-pos-path-word-freqs)))
(defn grammar-tree-frequencies
"Seq of grammar tree frequencies of each document.
{(TOP (NP (NN)) (VP (VBZ))) 23
(TOP (NP (DT) (NN)) (VP (VBZ))) 18
,,,}
To reduce, merge with +."
[documents]
(->> documents
(map slurp)
(map util/clean-text)
(filter dict/english?)
(map #(string/split % #"\n+"))
(map (remove-sentences-with-words-not-in-dictionary dict/popular))
(remove empty?)
(remove #(some empty? %))
(map nlp/parse-to-simple-tree)
(map nlp/parse-tree-sans-leaf-words)
(map
(fn [lines]
(map #(hash-map % 1) lines)))
(map (partial apply merge-with +))))
(defn weighted-selection-from-map [m]
(first (weighted-rand/weighted-selection second (seq m))))
(defn chunked-writing-pos-path-freqs
[documents chunk-size]
(let [chunks (range 0 (count documents) chunk-size)]
(run!
(fn [chunk]
(let [structure (->> documents
(drop chunk)
(take chunk-size)
pathed-part-of-speech-word-frequencies
(reduce
(fn [a v]
(nlp/deep-merge-with + a v))
{}))
filepath (format "resources/pos-freqs/%s.nip" chunk)]
(timbre/info (format "Writing to %s." filepath))
(nippy/freeze-to-file filepath structure)))
chunks)))
(defn chunked-writing-structure-freqs
[documents chunk-size]
(let [chunks (range 0 (count documents) chunk-size)]
(run!
(fn [chunk]
(let [structure (->> documents
(drop chunk)
(take chunk-size)
structures
(reduce
(fn [a v]
(nlp/deep-merge-with + a v))
{}))
filepath (format "resources/structure-freqs/%s.nip" chunk)]
(timbre/info (format "Writing to %s." filepath))
(nippy/freeze-to-file filepath structure)))
chunks)))
(defn pos-paths->pos-freqs
"Convert pos paths, like {(TOP S NP NN) {'test' 5 'car' 3 ,,,}}
into a top-level pos freq map like {NN {'test' 25 'car' 8 ,,,}}.is"
[pos-paths]
(->> pos-paths
(map
(fn [[k v]]
(hash-map (last k) v)))
(reduce
(fn [a v]
(nlp/deep-merge-with + a v))
{})))
(comment
(take 5 darklyrics/darklyrics-markov-2)
(darklyrics/darklyrics-markov-2 '("time" "is"))
(def darkov-2 darklyrics/darklyrics-markov-2)
;; => ([("profanity" "unholy") {"its" 2}]
;; [("ants" "triumph") {nil 1}]
;; [("hiding" "our") {"of" 1, "expose" 3, "above" 1}]
;; [("won't" "intervention") {"divine" 1, "an" 1}]
;; [("pines" "weeping") {"the" 1}])
;; Merge pos paths
(def pos-freqs-data
(let [documents (->> "resources/pos-freqs"
io/file
file-seq
(remove #(.isDirectory %)))]
(reduce
(fn [accum document]
(let [data (nippy/thaw-from-file document)]
(nlp/deep-merge-with + accum data)))
{}
documents)))
(nippy/freeze-to-file "resources/corpus/darklyrics/pos-word-freqs.nippy" pos-freqs-data)
(count pos-freqs-data)
(take 20 pos-freqs-data)
(time
(def pos-freqs-data-3
(reduce
(fn [acc [k v]]
(let [new-map (hash-map (take-last 3 k) v)]
(nlp/deep-merge-with + acc new-map)))
{}
pos-freqs-data)))
(count pos-freqs-data-3)
(take 2 (reverse (sort-by #(count (second %)) pos-freqs-data-3)))
(time
(def
pos-freqs-data-2
(reduce
(fn [acc [k v]]
(let [new-map (hash-map (take-last 2 k) v)]
(nlp/deep-merge-with + acc new-map)))
{}
pos-freqs-data-3)))
(def structure-freq-data
(let [documents (->> "resources/structure-freqs"
io/file
file-seq
(remove #(.isDirectory %)))]
(reduce
(fn [accum document]
(let [data (nippy/thaw-from-file document)]
(nlp/deep-merge-with + accum data)))
{}
documents)))
(def popular-structure-freq-data (into {} (take 500 (reverse (sort-by #(second %) structure-freq-data)))))
(take 100 popular-structure-freq-data)
(nippy/freeze-to-file "resources/corpus/darklyrics/grammar-tree-freqs.nippy" structure-freq-data)
(def t1 (nippy/thaw-from-file "resources/structure-freqs/0.nip"))
structures
(take 100 (reverse (sort-by second structures)))
(do
(let [documents (->> "dark-corpus"
io/file
file-seq
(remove #(.isDirectory %))
(drop 5000))
chunk-size 5000]
(chunked-writing-pos-path-freqs
documents
chunk-size))
(let [documents (->> "dark-corpus"
io/file
file-seq
(remove #(.isDirectory %))
(drop 50000))
chunk-size 5000]
(chunked-writing-structure-freqs
documents
chunk-size)))
(def t1 (nippy/thaw-from-file "resources/pos-freqs/0.nip"))
(take 10 t1)
(let [path-freqs (pos-paths->pos-freqs t1)]
(take 10 path-freqs))
(take 5 t1)
(take 10 (reverse (sort-by #(count (second %)) t1)))
(def t3 (nippy/thaw-from-file "resources/pos-freqs/400.nip"))
(def t2 (nippy/thaw-from-file "resources/pos-freqs/800.nip"))
(count (merge-with + t1 t2 t3))
;; => 2353
(count t3)
;; => 1013
(count t1)
;; => 871
(count t2)
;; => 676 (def corpus
(->> "dark-corpus"
io/file
file-seq
(remove #(.isDirectory %)))
(time
(def example-pos-freqs
(->> corpus
(take 100)
pos-path-freqs
(reduce
(fn [a v]
(nlp/deep-merge-with + a v))
{}))))
(time
(def example-structures
(->> corpus
(take 100)
structures
(reduce
(fn [a v]
(merge-with + a v))
{}))))
(let [structure (weighted-selection-from-map example-structures)]
(repeatedly
10
(fn []
(->> (nlp/generate-from-structure-and-pos-freqs
structure
example-pos-freqs)
nlp/leaf-nodes
(string/join " ")))))
;; => ("then get your life"
;; "sometimes lie my hand"
;; "still become your chapter"
;; "alright fade our surfing"
;; "far care my band"
;; "all fake my fallow"
;; "here gimme our head"
;; "long back my guide"
;; "never stop their seed"
;; "never consume our tomorrow")
;; => ("now scarred towards the future"
;; "never gone among the side"
;; "ill removed with the end"
;; "well filled in the life"
;; "again torn towards the world"
;; "desperately matched in the love"
;; "nowadays matched in the ark"
;; "awhile needed through all night"
;; "so torn in the darkness"
;; "first erased on the land")
;; => ("pictures of the destiny"
;; "tears on the pain"
;; "lights in the disaster"
;; "corpses on the fire"
;; "castles on the universe"
;; "efforts for the king"
;; "visions of the night"
;; "retreats into the darker"
;; "tales into the attack"
;; "pictures into the play")
(get-in {:a 1} '())
(let [zipper (zip/seq-zip '(TOP (S (NP) (VB))))]
(-> zipper
zip/down
zip/right
zip/node)))