/usr/include/fst/extensions/linear/linearscript.h is in libfst-dev 1.6.3-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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// finite-state transducer library.
#ifndef FST_EXTENSIONS_LINEAR_LINEARSCRIPT_H_
#define FST_EXTENSIONS_LINEAR_LINEARSCRIPT_H_
#include <istream>
#include <sstream>
#include <string>
#include <vector>
#include <fst/compat.h>
#include <fst/extensions/linear/linear-fst-data-builder.h>
#include <fst/extensions/linear/linear-fst.h>
#include <fstream>
#include <fst/symbol-table.h>
#include <fst/script/arg-packs.h>
#include <fst/script/script-impl.h>
DECLARE_string(delimiter);
DECLARE_string(empty_symbol);
DECLARE_string(start_symbol);
DECLARE_string(end_symbol);
DECLARE_bool(classifier);
namespace fst {
namespace script {
typedef args::Package<const string &, const string &, const string &, char **,
int, const string &, const string &, const string &,
const string &> LinearCompileArgs;
bool ValidateDelimiter();
bool ValidateEmptySymbol();
// Returns the proper label given the symbol. For symbols other than
// `FLAGS_start_symbol` or `FLAGS_end_symbol`, looks up the symbol
// table to decide the label. Depending on whether
// `FLAGS_start_symbol` and `FLAGS_end_symbol` are identical, it
// either returns `kNoLabel` for later processing or decides the label
// right away.
template <class Arc>
inline typename Arc::Label LookUp(const string &str, SymbolTable *syms) {
if (str == FLAGS_start_symbol)
return str == FLAGS_end_symbol ? kNoLabel
: LinearFstData<Arc>::kStartOfSentence;
else if (str == FLAGS_end_symbol)
return LinearFstData<Arc>::kEndOfSentence;
else
return syms->AddSymbol(str);
}
// Splits `str` with `delim` as the delimiter and stores the labels in
// `output`.
template <class Arc>
void SplitAndPush(const string &str, const char delim, SymbolTable *syms,
std::vector<typename Arc::Label> *output) {
if (str == FLAGS_empty_symbol) return;
std::istringstream strm(str);
string buf;
while (std::getline(strm, buf, delim))
output->push_back(LookUp<Arc>(buf, syms));
}
// Like `std::replace_copy` but returns the number of modifications
template <class InputIterator, class OutputIterator, class T>
size_t ReplaceCopy(InputIterator first, InputIterator last,
OutputIterator result, const T &old_value,
const T &new_value) {
size_t changes = 0;
while (first != last) {
if (*first == old_value) {
*result = new_value;
++changes;
} else {
*result = *first;
}
++first;
++result;
}
return changes;
}
template <class Arc>
bool GetVocabRecord(const string &vocab, std::istream &strm, // NOLINT
SymbolTable *isyms, SymbolTable *fsyms, SymbolTable *osyms,
typename Arc::Label *word,
std::vector<typename Arc::Label> *feature_labels,
std::vector<typename Arc::Label> *possible_labels,
size_t *num_line);
template <class Arc>
bool GetModelRecord(const string &model, std::istream &strm, // NOLINT
SymbolTable *fsyms, SymbolTable *osyms,
std::vector<typename Arc::Label> *input_labels,
std::vector<typename Arc::Label> *output_labels,
typename Arc::Weight *weight, size_t *num_line);
// Reads in vocabulary file. Each line is in the following format
//
// word <whitespace> features [ <whitespace> possible output ]
//
// where features and possible output are `FLAGS_delimiter`-delimited lists of
// tokens
template <class Arc>
void AddVocab(const string &vocab, SymbolTable *isyms, SymbolTable *fsyms,
SymbolTable *osyms, LinearFstDataBuilder<Arc> *builder) {
std::ifstream in(vocab);
if (!in) LOG(FATAL) << "Can't open file: " << vocab;
size_t num_line = 0, num_added = 0;
std::vector<string> fields;
std::vector<typename Arc::Label> feature_labels, possible_labels;
typename Arc::Label word;
while (GetVocabRecord<Arc>(vocab, in, isyms, fsyms, osyms, &word,
&feature_labels, &possible_labels, &num_line)) {
if (word == kNoLabel) {
LOG(WARNING) << "Ignored: boundary word: " << fields[0];
continue;
}
if (possible_labels.empty())
num_added += builder->AddWord(word, feature_labels);
else
num_added += builder->AddWord(word, feature_labels, possible_labels);
}
VLOG(1) << "Read " << num_added << " words in " << num_line << " lines from "
<< vocab;
}
template <class Arc>
void AddVocab(const string &vocab, SymbolTable *isyms, SymbolTable *fsyms,
SymbolTable *osyms,
LinearClassifierFstDataBuilder<Arc> *builder) {
std::ifstream in(vocab);
if (!in) LOG(FATAL) << "Can't open file: " << vocab;
size_t num_line = 0, num_added = 0;
std::vector<string> fields;
std::vector<typename Arc::Label> feature_labels, possible_labels;
typename Arc::Label word;
while (GetVocabRecord<Arc>(vocab, in, isyms, fsyms, osyms, &word,
&feature_labels, &possible_labels, &num_line)) {
if (!possible_labels.empty())
LOG(FATAL)
<< "Classifier vocabulary should not have possible output constraint";
if (word == kNoLabel) {
LOG(WARNING) << "Ignored: boundary word: " << fields[0];
continue;
}
num_added += builder->AddWord(word, feature_labels);
}
VLOG(1) << "Read " << num_added << " words in " << num_line << " lines from "
<< vocab;
}
// Reads in model file. The first line is an integer designating the
// size of future window in the input sequences. After this, each line
// is in the following format
//
// input sequence <whitespace> output sequence <whitespace> weight
//
// input sequence is a `FLAGS_delimiter`-delimited sequence of feature
// labels (see `AddVocab()`) . output sequence is a
// `FLAGS_delimiter`-delimited sequence of output labels where the
// last label is the output of the feature position before the history
// boundary.
template <class Arc>
void AddModel(const string &model, SymbolTable *fsyms, SymbolTable *osyms,
LinearFstDataBuilder<Arc> *builder) {
std::ifstream in(model);
if (!in) LOG(FATAL) << "Can't open file: " << model;
string line;
std::getline(in, line);
if (!in) LOG(FATAL) << "Empty file: " << model;
size_t future_size;
{
std::istringstream strm(line);
strm >> future_size;
if (!strm) LOG(FATAL) << "Can't read future size: " << model;
}
size_t num_line = 1, num_added = 0;
const int group = builder->AddGroup(future_size);
CHECK_GE(group, 0);
VLOG(1) << "Group " << group << ": from " << model << "; future size is "
<< future_size << ".";
// Add the rest of lines as a single feature group
std::vector<string> fields;
std::vector<typename Arc::Label> input_labels, output_labels;
typename Arc::Weight weight;
while (GetModelRecord<Arc>(model, in, fsyms, osyms, &input_labels,
&output_labels, &weight, &num_line)) {
if (output_labels.empty())
LOG(FATAL) << "Empty output sequence in source " << model << ", line "
<< num_line;
const typename Arc::Label marks[] = {LinearFstData<Arc>::kStartOfSentence,
LinearFstData<Arc>::kEndOfSentence};
std::vector<typename Arc::Label> copy_input(input_labels.size()),
copy_output(output_labels.size());
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 2; ++j) {
size_t num_input_changes =
ReplaceCopy(input_labels.begin(), input_labels.end(),
copy_input.begin(), kNoLabel, marks[i]);
size_t num_output_changes =
ReplaceCopy(output_labels.begin(), output_labels.end(),
copy_output.begin(), kNoLabel, marks[j]);
if ((num_input_changes > 0 || i == 0) &&
(num_output_changes > 0 || j == 0))
num_added +=
builder->AddWeight(group, copy_input, copy_output, weight);
}
}
}
VLOG(1) << "Group " << group << ": read " << num_added << " weight(s) in "
<< num_line << " lines.";
}
template <class Arc>
void AddModel(const string &model, SymbolTable *fsyms, SymbolTable *osyms,
LinearClassifierFstDataBuilder<Arc> *builder) {
std::ifstream in(model);
if (!in) LOG(FATAL) << "Can't open file: " << model;
string line;
std::getline(in, line);
if (!in) LOG(FATAL) << "Empty file: " << model;
size_t future_size;
{
std::istringstream strm(line);
strm >> future_size;
if (!strm) LOG(FATAL) << "Can't read future size: " << model;
}
if (future_size != 0)
LOG(FATAL) << "Classifier model must have future size = 0; got "
<< future_size << " from " << model;
size_t num_line = 1, num_added = 0;
const int group = builder->AddGroup();
CHECK_GE(group, 0);
VLOG(1) << "Group " << group << ": from " << model << "; future size is "
<< future_size << ".";
// Add the rest of lines as a single feature group
std::vector<string> fields;
std::vector<typename Arc::Label> input_labels, output_labels;
typename Arc::Weight weight;
while (GetModelRecord<Arc>(model, in, fsyms, osyms, &input_labels,
&output_labels, &weight, &num_line)) {
if (output_labels.size() != 1)
LOG(FATAL) << "Output not a single label in source " << model << ", line "
<< num_line;
const typename Arc::Label marks[] = {LinearFstData<Arc>::kStartOfSentence,
LinearFstData<Arc>::kEndOfSentence};
typename Arc::Label pred = output_labels[0];
std::vector<typename Arc::Label> copy_input(input_labels.size());
for (int i = 0; i < 2; ++i) {
size_t num_input_changes =
ReplaceCopy(input_labels.begin(), input_labels.end(),
copy_input.begin(), kNoLabel, marks[i]);
if (num_input_changes > 0 || i == 0)
num_added += builder->AddWeight(group, copy_input, pred, weight);
}
}
VLOG(1) << "Group " << group << ": read " << num_added << " weight(s) in "
<< num_line << " lines.";
}
void SplitByWhitespace(const string &str, std::vector<string> *out);
int ScanNumClasses(char **models, int models_length);
template <class Arc>
void LinearCompileTpl(LinearCompileArgs *args) {
const string &epsilon_symbol = args->arg1;
const string &unknown_symbol = args->arg2;
const string &vocab = args->arg3;
char **models = args->arg4;
const int models_length = args->arg5;
const string &out = args->arg6;
const string &save_isymbols = args->arg7;
const string &save_fsymbols = args->arg8;
const string &save_osymbols = args->arg9;
SymbolTable isyms, // input (e.g. word tokens)
osyms, // output (e.g. tags)
fsyms; // feature (e.g. word identity, suffix, etc.)
isyms.AddSymbol(epsilon_symbol);
osyms.AddSymbol(epsilon_symbol);
fsyms.AddSymbol(epsilon_symbol);
isyms.AddSymbol(unknown_symbol);
VLOG(1) << "start-of-sentence label is "
<< LinearFstData<Arc>::kStartOfSentence;
VLOG(1) << "end-of-sentence label is " << LinearFstData<Arc>::kEndOfSentence;
if (FLAGS_classifier) {
int num_classes = ScanNumClasses(models, models_length);
LinearClassifierFstDataBuilder<Arc> builder(num_classes, &isyms, &fsyms,
&osyms);
AddVocab(vocab, &isyms, &fsyms, &osyms, &builder);
for (int i = 0; i < models_length; ++i)
AddModel(models[i], &fsyms, &osyms, &builder);
LinearClassifierFst<Arc> fst(builder.Dump(), num_classes, &isyms, &osyms);
fst.Write(out);
} else {
LinearFstDataBuilder<Arc> builder(&isyms, &fsyms, &osyms);
AddVocab(vocab, &isyms, &fsyms, &osyms, &builder);
for (int i = 0; i < models_length; ++i)
AddModel(models[i], &fsyms, &osyms, &builder);
LinearTaggerFst<Arc> fst(builder.Dump(), &isyms, &osyms);
fst.Write(out);
}
if (!save_isymbols.empty()) isyms.WriteText(save_isymbols);
if (!save_fsymbols.empty()) fsyms.WriteText(save_fsymbols);
if (!save_osymbols.empty()) osyms.WriteText(save_osymbols);
}
void LinearCompile(const string &arc_type, const string &epsilon_symbol,
const string &unknown_symbol, const string &vocab,
char **models, int models_len, const string &out,
const string &save_isymbols, const string &save_fsymbols,
const string &save_osymbols);
template <class Arc>
bool GetVocabRecord(const string &vocab, std::istream &strm, // NOLINT
SymbolTable *isyms, SymbolTable *fsyms, SymbolTable *osyms,
typename Arc::Label *word,
std::vector<typename Arc::Label> *feature_labels,
std::vector<typename Arc::Label> *possible_labels,
size_t *num_line) {
string line;
if (!std::getline(strm, line)) return false;
++(*num_line);
std::vector<string> fields;
SplitByWhitespace(line, &fields);
if (fields.size() != 3)
LOG(FATAL) << "Wrong number of fields in source " << vocab << ", line "
<< num_line;
feature_labels->clear();
possible_labels->clear();
*word = LookUp<Arc>(fields[0], isyms);
const char delim = FLAGS_delimiter[0];
SplitAndPush<Arc>(fields[1], delim, fsyms, feature_labels);
SplitAndPush<Arc>(fields[2], delim, osyms, possible_labels);
return true;
}
template <class Arc>
bool GetModelRecord(const string &model, std::istream &strm, // NOLINT
SymbolTable *fsyms, SymbolTable *osyms,
std::vector<typename Arc::Label> *input_labels,
std::vector<typename Arc::Label> *output_labels,
typename Arc::Weight *weight, size_t *num_line) {
string line;
if (!std::getline(strm, line)) return false;
++(*num_line);
std::vector<string> fields;
SplitByWhitespace(line, &fields);
if (fields.size() != 3)
LOG(FATAL) << "Wrong number of fields in source " << model << ", line "
<< num_line;
input_labels->clear();
output_labels->clear();
const char delim = FLAGS_delimiter[0];
SplitAndPush<Arc>(fields[0], delim, fsyms, input_labels);
SplitAndPush<Arc>(fields[1], delim, osyms, output_labels);
*weight = StrToWeight<typename Arc::Weight>(fields[2], model, *num_line);
GuessStartOrEnd<Arc>(input_labels, kNoLabel);
GuessStartOrEnd<Arc>(output_labels, kNoLabel);
return true;
}
} // namespace script
} // namespace fst
#define REGISTER_FST_LINEAR_OPERATIONS(Arc) \
REGISTER_FST_OPERATION(LinearCompileTpl, Arc, LinearCompileArgs);
#endif // FST_EXTENSIONS_LINEAR_LINEARSCRIPT_H_
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