<commit_before>package ma

import (
	"yap/alg/graph"
	"yap/nlp/format/lex"
	. "yap/nlp/types"
	"yap/util"

	"fmt"
	"log"
	"regexp"
)

const ESTIMATED_MORPHS_PER_TOKEN = 5

type BGULex struct {
	MaxPrefixLen int
	Prefixes     map[string][]BasicMorphemes

	Lex map[string][]BasicMorphemes

	Files []string
	Stats *AnalyzeStats

	AlwaysNNP bool
}

var (
	PUNCT = map[string]string{
		":":   "yyCLN",
		",":   "yyCM",
		"-":   "yyDASH",
		".":   "yyDOT",
		"...": "yyELPS",
		"!":   "yyEXCL",
		"(":   "yyLRB",
		"?":   "yyQM",
		")":   "yyRRB",
		";":   "yySCLN",
		"\"":  "yyQUOT",
	}
	REGEX = []struct {
		RE  *regexp.Regexp
		POS string
	}{
		{regexp.MustCompile("^\\d+(\\.\\d+)?$|^\\d{1,3}(,\\d{3})*(\\.\\d+)?$"), "CD"},
		{regexp.MustCompile("\\d"), "NCD"},
	}
	_ MorphologicalAnalyzer = &BGULex{}
)

func (l *BGULex) loadTokens(file, format string) {
	tokens, err := lex.ReadFile(file, format)
	if err != nil {
		panic(fmt.Sprintf("Failed to load %v: %v", file, err))
	}
	var m map[string][]BasicMorphemes
	if format == "prefix" {
		l.Prefixes = make(map[string][]BasicMorphemes, len(tokens))
		m = l.Prefixes
	} else if format == "lexicon" {
		l.Lex = make(map[string][]BasicMorphemes, len(tokens))
		m = l.Lex
	}
	log.Println("Found", len(tokens), "tokens in lexicon file:", file)
	for _, token := range tokens {
		if cur, exists := m[token.Token]; exists {
			m[token.Token] = append(cur, token.Morphemes...)
		} else {
			m[token.Token] = token.Morphemes
		}
	}
}

func (l *BGULex) LoadPrefixes(file string) {
	l.loadTokens(file, "prefix")
	l.MaxPrefixLen = 0
	for _, morphs := range l.Prefixes {
		if l.MaxPrefixLen < len(morphs) {
			l.MaxPrefixLen = len(morphs)
		}
	}
	log.Println("Loaded", len(l.Prefixes), "prefixes from lexicon")
}

func (l *BGULex) LoadLex(file string) {
	l.loadTokens(file, "lexicon")
	log.Println("Loaded", len(l.Lex), "tokens from lexicon")
}

func makeMorphWithPOS(input, lemma, POS string) []BasicMorphemes {
	return []BasicMorphemes{BasicMorphemes([]*Morpheme{
		&Morpheme{
			BasicDirectedEdge: graph.BasicDirectedEdge{0, 0, 1},
			Form:              input,
			Lemma:             lemma,
			CPOS:              POS,
			POS:               POS,
			FeatureStr:        "",
		},
	})}
}

func (l *BGULex) OOVAnalysis(input string) []BasicMorphemes {
	return makeMorphWithPOS(input, input, "NNP")
}

func checkRegexes(input string) ([]BasicMorphemes, bool) {<commit_msg>Adds high frequency MSRs to OOV in HEBLEX<commit_after>package ma

import (
	"yap/alg/graph"
	"yap/nlp/format/lex"
	. "yap/nlp/types"
	"yap/util"

	"fmt"
	"log"
	"regexp"
	"strings"
)

const ESTIMATED_MORPHS_PER_TOKEN = 5

type BGULex struct {
	MaxPrefixLen int
	Prefixes     map[string][]BasicMorphemes

	Lex map[string][]BasicMorphemes

	Files []string
	Stats *AnalyzeStats

	AlwaysNNP bool
}

var (
	PUNCT = map[string]string{
		":":   "yyCLN",
		",":   "yyCM",
		"-":   "yyDASH",
		".":   "yyDOT",
		"...": "yyELPS",
		"!":   "yyEXCL",
		"(":   "yyLRB",
		"?":   "yyQM",
		")":   "yyRRB",
		";":   "yySCLN",
		"\"":  "yyQUOT",
	}
	OOVMSRS = []string{
		"NNP-",
		"NNP-gen=F|gen=M|num=S",
		"NNP-gen=M|num=S",
		"NNP-gen=F|num=S",
		"NN-gen=M|num=P|num=S",
		"NN-gen=M|num=S",
		"NN-gen=F|num=S",
		"NN-gen=M|num=P",
		"NN-gen=F|num=P",
	}
	REGEX = []struct {
		RE  *regexp.Regexp
		POS string
	}{
		{regexp.MustCompile("^\\d+(\\.\\d+)?$|^\\d{1,3}(,\\d{3})*(\\.\\d+)?$"), "CD"},
		{regexp.MustCompile("\\d"), "NCD"},
	}
	_ MorphologicalAnalyzer = &BGULex{}
)

func (l *BGULex) loadTokens(file, format string) {
	tokens, err := lex.ReadFile(file, format)
	if err != nil {
		panic(fmt.Sprintf("Failed to load %v: %v", file, err))
	}
	var m map[string][]BasicMorphemes
	if format == "prefix" {
		l.Prefixes = make(map[string][]BasicMorphemes, len(tokens))
		m = l.Prefixes
	} else if format == "lexicon" {
		l.Lex = make(map[string][]BasicMorphemes, len(tokens))
		m = l.Lex
	}
	log.Println("Found", len(tokens), "tokens in lexicon file:", file)
	for _, token := range tokens {
		if cur, exists := m[token.Token]; exists {
			m[token.Token] = append(cur, token.Morphemes...)
		} else {
			m[token.Token] = token.Morphemes
		}
	}
}

func (l *BGULex) LoadPrefixes(file string) {
	l.loadTokens(file, "prefix")
	l.MaxPrefixLen = 0
	for _, morphs := range l.Prefixes {
		if l.MaxPrefixLen < len(morphs) {
			l.MaxPrefixLen = len(morphs)
		}
	}
	log.Println("Loaded", len(l.Prefixes), "prefixes from lexicon")
}

func (l *BGULex) LoadLex(file string) {
	l.loadTokens(file, "lexicon")
	log.Println("Loaded", len(l.Lex), "tokens from lexicon")
}

func makeMorphWithPOS(input, lemma, POS string) []BasicMorphemes {
	return []BasicMorphemes{BasicMorphemes([]*Morpheme{
		&Morpheme{
			BasicDirectedEdge: graph.BasicDirectedEdge{0, 0, 1},
			Form:              input,
			Lemma:             lemma,
			CPOS:              POS,
			POS:               POS,
			FeatureStr:        "",
		},
	})}
}

func (l *BGULex) OOVAnalysis(input string) []BasicMorphemes {
	retval := make([]*Morpheme, 0, len(OOVMSRS))
	for _, msr := range OOVMSRS {
		msrsplit := strings.Split(msr, "-")
		retval = append(retval, &Morpheme{
			BasicDirectedEdge: graph.BasicDirectedEdge{0, 0, 1},
			Form:              input,
			Lemma:             input,
			CPOS:              msrsplit[0],
			POS:               msrsplit[0],
			FeatureStr:        msrsplit[1],
		})
	}
	return []BasicMorphemes{BasicMorphemes(retval)}
}

func checkRegexes(input string) ([]BasicMorphemes, bool) {
{'fraction_non_alphanumeric': 0.19116022099447513, 'fraction_numerical': 0.00423572744014733, 'mean_word_length': 3.3206046141607, 'pattern_counts': {'":': 24, '<': 5, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2607702', 'n_tokens_mistral': 2479, 'n_tokens_neox': 2288, 'n_words': 420}