From a74183ddb4ab8383bfe214b3745eb8a0a99ee47a Mon Sep 17 00:00:00 2001
From: Determinant <ted.sybil@gmail.com>
Date: Thu, 25 Jun 2015 12:56:45 +0800
Subject: let HTK I/O implementation be a single package

---
 tools/tnet_to_nerv.c   | 57 ------------------------------------------
 tools/tnet_to_nerv.cpp | 68 --------------------------------------------------
 2 files changed, 125 deletions(-)
 delete mode 100644 tools/tnet_to_nerv.c
 delete mode 100644 tools/tnet_to_nerv.cpp

(limited to 'tools')

diff --git a/tools/tnet_to_nerv.c b/tools/tnet_to_nerv.c
deleted file mode 100644
index f781236..0000000
--- a/tools/tnet_to_nerv.c
+++ /dev/null
@@ -1,57 +0,0 @@
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-char token[1024];
-double mat[4096][4096];
-int main() {
-    FILE *fout = fopen("converted.nerv", "w");
-    int cnt = 0;
-    while (scanf("%s", token) != EOF)
-    {
-        int nrow, ncol;
-        int i, j;
-        if (strcmp(token, "<biasedlinearity>") == 0)
-        {
-            scanf("%d %d", &ncol, &nrow);
-            scanf("%s %d %d", token, &ncol, &nrow);
-            printf("%d %d\n", nrow, ncol);
-            for (j = 0; j < ncol; j++)
-                for (i = 0; i < nrow; i++)
-                    scanf("%lf", mat[i] + j);
-            off_t base = ftello(fout);
-            fprintf(fout, "%16d", 0);
-            fprintf(fout, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n",
-                            cnt);
-            fprintf(fout, "%d %d\n", nrow, ncol);
-            for (i = 0; i < nrow; i++)
-            {
-                for (j = 0; j < ncol; j++)
-                    fprintf(fout, "%.8f ", mat[i][j]);
-                fprintf(fout, "\n");
-            }
-            size_t length = ftello(fout) - base;
-            fseeko(fout, base, SEEK_SET);
-            fprintf(fout, "[%13lu]\n", length);
-            fseeko(fout, 0, SEEK_END);
-            if (scanf("%s %d", token, &ncol) == 2 && *token == 'v')
-            {
-                base = ftello(fout);
-                for (j = 0; j < ncol; j++)
-                    scanf("%lf", mat[0] + j);
-                fprintf(fout, "%16d", 0);
-                fprintf(fout, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n",
-                        cnt);
-                fprintf(fout, "1 %d\n", nrow, ncol);
-                for (j = 0; j < ncol; j++)
-                    fprintf(fout, "%.8f ", mat[0][j]);
-                fprintf(fout, "\n");
-                length = ftello(fout) - base;
-                fseeko(fout, base, SEEK_SET);
-                fprintf(fout, "[%13lu]\n", length);
-                cnt++;
-                fseeko(fout, 0, SEEK_END);
-            }
-        }
-    }
-    return 0;
-}
diff --git a/tools/tnet_to_nerv.cpp b/tools/tnet_to_nerv.cpp
deleted file mode 100644
index bbfddcf..0000000
--- a/tools/tnet_to_nerv.cpp
+++ /dev/null
@@ -1,68 +0,0 @@
-#include <cstdio>
-#include <fstream>
-#include <string>
-#include <cstring>
-char token[1024];
-char output[1024];
-double mat[4096][4096];
-int main(int argc, char **argv) {
-    std::ofstream fout;
-    fout.open(argv[1]);
-    int cnt = 0;
-    while (scanf("%s", token) != EOF)
-    {
-        int nrow, ncol;
-        int i, j;
-        if (strcmp(token, "<biasedlinearity>") == 0)
-        {
-            scanf("%d %d", &ncol, &nrow);
-            scanf("%s %d %d", token, &ncol, &nrow);
-            printf("%d %d\n", nrow, ncol);
-            for (j = 0; j < ncol; j++)
-                for (i = 0; i < nrow; i++)
-                    scanf("%lf", mat[i] + j);
-            long base = fout.tellp();
-            sprintf(output, "%16d", 0);
-            fout << output;
-            sprintf(output, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n",
-                            cnt);
-            fout << output;
-            sprintf(output, "%d %d\n", nrow, ncol);
-            fout << output;
-            for (i = 0; i < nrow; i++)
-            {
-                for (j = 0; j < ncol; j++)
-                    fout << mat[i][j] << " ";
-                fout << std::endl;
-            }
-            long length = fout.tellp() - base;
-            fout.seekp(base);
-            sprintf(output, "[%13lu]\n", length);
-            fout << output;
-            fout.seekp(0, std::ios_base::end);
-            if (scanf("%s %d", token, &ncol) == 2 && *token == 'v')
-            {
-                base = fout.tellp();
-                for (j = 0; j < ncol; j++)
-                    scanf("%lf", mat[0] + j);
-                sprintf(output, "%16d", 0);
-                fout << output;
-                sprintf(output, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n",
-                        cnt);
-                fout << output;
-                sprintf(output, "1 %d\n", ncol);
-                fout << output;
-                for (j = 0; j < ncol; j++)
-                    fout << mat[0][j] << " ";
-                fout << std::endl;
-                length = fout.tellp() - base;
-                fout.seekp(base);
-                sprintf(output, "[%13lu]\n", length);
-                fout << output;
-                fout.seekp(0, std::ios_base::end);
-                cnt++;
-            }
-        }
-    }
-    return 0;
-}
-- 
cgit v1.2.3-70-g09d2