#author("2019-10-31T13:47:13+09:00","default:Authors","Authors") * 書式保持メモ [#sda4f9c8] *** https://qiita.com/okoppe8/items/b56499fc04e6c2193b9d [#z200e3e6] LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'formatters': { 'production': { 'format': '%(asctime)s [%(levelname)s] %(process)d %(thread)d ' '%(pathname)s:%(lineno)d %(message)s' }, }, 'handlers': { 'file': { 'class': 'logging.handlers.TimedRotatingFileHandler', 'filename': '/var/log/django/django.log', 'formatter': 'production', # 'level': 'INFO', 'when': 'D', 'interval': 1, 'backupCount': 14, }, }, 'loggers': { '': { 'handlers': ['file'], # 'level': 'INFO', 'propagate': False, }, 'django': { 'handlers': ['file'], # 'level': 'INFO', 'propagate': False, }, }, import sys import os import glob import random import shutil import errno args = sys.argv try: os.makedirs( "./test" ) os.makedirs( "./train" ) os.makedirs( "./valid" ) except OSError as e: if e.errno != errno.EEXIST: raise e fileList = glob.glob( "./*.mid*" ) #print( "hello" ) #print( args[1] ) for file in fileList: randNum = random.randint(0,11) if 0 == randNum: shutil.copy( file, "./test" ) elif 1 == randNum: shutil.copy( file, "./valid" ) else: shutil.copy( file, "./train" ) sys.exit() #include <stdio.h> #include <time.h> #include <stdlib.h> int main( void ) { int rtnCod = 0; char strArr[10][9] = { "", }; int intArr[10] = { 0, }; int cnt = 0; int num = 0; srand( (unsigned int)time( NULL ) ); for( cnt = 0; 10 > cnt; cnt++ ) { intArr[cnt] = rand(); printf( "%x\r\n", intArr[cnt] ); snprintf( strArr[cnt], 9, "%x", intArr[cnt] ); printf( "%s\r\n", strArr[cnt] ); num = strtol( strArr[cnt], NULL, 16 ); printf( "%x\r\n", num ); } return( rtnCod ); } #include <stdio.h> #include <sys/stat.h> //#include <time.h> #include <stdlib.h> int main( void ) { int rtnCod = 0; int cnt = 0; int num = 0; int bBuf = 0; int eBuf = 0; int fSize = 0; FILE* INFO = NULL; struct stat st; /* for stat() */ char *inBuf; /* メモリ作業領域 */ char fileName[8] = "./a.gem"; char word[9] = ""; stat( fileName, &st ); fSize = st.st_size; inBuf = (char*)malloc( fSize ); INFO = fopen( fileName, "r"); fread( inBuf, sizeof(char), fSize, INFO ); fclose( INFO ); // printf( "%s\n--end--\n", inBuf ); for( cnt = 0; fSize > cnt; cnt++ ) { if( ' ' == inBuf[cnt] ) { eBuf = cnt + 1; snprintf( word, eBuf - bBuf, "%s", &(inBuf[bBuf]) ); bBuf = cnt + 1; num = strtol( word, NULL, 16 ); printf( "%x\n", num ); } } free( inBuf ); return( rtnCod ); } int delta = START_CUE_POS; int dOffset = setX(GRID_H * INTERVAL); int note = ZERO; int len = ZERO; int left = ZERO; int right = ZERO; for( 時点数 ) { barData取得 for( 各パート: cnt_beg, cnt_end ) { note = getNoteM( barData, cnt_beg ); if( ONあり ) { if( ZERO != offRsv[cnt_beg] ) { left = getX(offRsv[cnt_beg]); len = delta - left; if( tgt == cnt_beg ) { len += dOffset; } offRsv[cnt_beg] += setL(len); vc_funcs_barList[cnt_beg].insert( offRsv[cnt_beg] ); vc_funcs_barList[ALL_PART].insert( offRsv[cnt_beg] ); offRsv[cnt_beg] = ZERO; } if( noteが範囲内 ) { offRsv[cnt_beg] = setX(delta) + key2Y((u1)(note)) + setK(cnt_beg); if( tgtPart ) { offRsv[cnt_beg] += dOffset; } } } else { if( (ZERO == note) && (ZERO != offRsv[cnt_beg]) ) { left = getX(offRsv[cnt_beg]); len = delta - left; if( tgt == cnt_beg ) { len += dOffset; } offRsv[cnt_beg] += setL(len); vc_funcs_barList[cnt_beg].insert( offRsv[cnt_beg] ); vc_funcs_barList[ALL_PART].insert( offRsv[cnt_beg] ); offRsv[cnt_beg] = ZERO; } } } delta += GRID_H; } //int delta = START_CUE_POS; //int dOffset = setX(GRID_H * INTERVAL); //int note = ZERO; //int len = ZERO; int left = ZERO; //int right = ZERO; int ePos = ZERO; int cPos = START_CUE_POS; int offset = INTERVAL * GRID_H; ePos = 最終位置 for( ; ePos > cPos; cPos += GRID_H ) { for( 各パート: cnt_beg, cnt_end ) { sPos = cPos; if( tgt == cnt_beg ) { sPos += offset; } lower = lower_bound(sPos); if( end == lower ) { continue; } note = getNote( *lower ); left = getX( *lower ); right = left + getL( *lower ); if( sPos == left ) { ON予約 } else( lとrの間 ) { N予約 } import torch # for pytorch # from torch.autograd import Variable # for Variable # X = torch.randn( 4, 4, 4 ) prevX = Variable(X[-1:, :, :].data, requires_grad=False) #print(X) #print("="*80) #print(prevX) #prevX = None X = torch.randn( 4, 4, 4 ) Xm1 = [] #print( Xm1 ) Xm1.append(prevX if prevX is not None else X[:1, :, :] * 0) if prevX is not None: # Xm2 = prevX Xm2 = torch.cat((prevX, X[:-1, :, :]), 0) else: # Xm2 = torch.tensor(X[:1, :, :] * 0) Xm2 = torch.cat((X[:1, :, :] * 0, X[:-1, :, :]), 0) #print( Xm1 ) #print( Xm2 ) if len(X) > 1: Xm1.append(X[:-1, :, :]) # Xm2 = torch.cat((Xm2,X[:-1, :, :])) #print( Xm1 ) Xm1 = torch.cat(Xm1, 0) #print( Xm1 ) #print( Xm2 ) source = torch.cat([X, Xm1], 2) source2 = torch.cat((X, Xm2), dim=2) #print( source ) #print("="*80) #print( source2 ) #l = [X, Xm1] #t = (X, Xm1) #print(l) #print(t) #print(type(l)) #print(type(t))