zx.zuixiao(path, guanjianzi=s2_1, xiaxian=10)
# bl.kongwenjian(path,guanjianzi=s2_1)#把大小为0的文件都删除了
# bl.pingheng(path,guanjianzi= s2_1)#把标签全部是0的文件都移动到桌面去
# bl.pingheng_1(path,guanjianzi=s2_1)#把标签全部是1的文件都移动到桌面去
zhengli.zhengli(path,
guanjianzi_1='log_zhengguihua_2_biaoqian',
guanjianzi_2='mizhichuli_zhengguihua_2_biaoqian'
) #把opentest,closetest,整理出来
#只切割学习数据
path_2 = os.path.join(path, 'data', 'fbank', 'xuexi')
for wenjian in os.listdir(path_2): #因为特征值里面0太多了，要切掉一些，这个会把文件切成不同小段
path_1 = os.path.join(path_2, wenjian)
qie.qiexiao(path_1, wenjian, path_2)
bl.pingheng_houqie(path_2) #把标签全部是0的文件都移动到桌面去,因为切割之后会留下很多标签全是0的文件
# s2_1_1 = s2_1 + '_pinghen'
# for wenjian in os.listdir(path):#因为特征值里面0太多了，要切掉一些，这个会把文件切成不同小段
# path_1 = os.path.join(path, wenjian, s2_1)
# path_new = os.path.join(path, wenjian, s2_1_1)
# mu.mkdir(path_new)
# for wenjian_1 in os.listdir(path_1):
# path_2 = os.path.join(path_1, wenjian_1)
# qie.qiexiao(path_2,wenjian_1,path_new)
# bl.pingheng(path,guanjianzi = s2_1_1)#把标签全部是0的文件都移动到桌面去,因为切割之后会留下很多标签全是0的文件
zx.zuixiao(path, guanjianzi=s2_1_1, xiaxian=10)
# zhengli.zhengli(path,guanjianzi_1 = s1_1_1,guanjianzi_2 = s2_1_1)#把opentest,closetest,整理出来
pzs.dabiaoqian(path, guanjianzi_1=s2, guanjianzi_2=s2 + '_' + 'biaoqian')
zx.zuixiao(path, guanjianzi=s2 + '_' + 'biaoqian', xiaxian=10)
bl.kongwenjian(path, guanjianzi=s2 + '_' + 'biaoqian') #把大小为0的文件都删除了
bl.pingheng_2(path, guanjianzi=s2 + '_' + 'biaoqian') #把标签全部是0的文件都移动到桌面去
bl.pingheng_3(path, guanjianzi=s2 + '_' + 'biaoqian') #把标签全部是1的文件都移动到桌面去
s2 = s2 + '_' + 'biaoqian'
dataname_2 = dataname_2 + '_' + 'biaoqian'
for wenjian in os.listdir(path): #因为特征值里面0太多了，要切掉一些，这个会把文件切成不同小段
path_1 = os.path.join(path, wenjian, s2)
path_new = os.path.join(path, wenjian, s2 + '_' + 'pingheng')
mu.mkdir(path_new)
for wenjian_1 in os.listdir(path_1):
path_2 = os.path.join(path_1, wenjian_1)
qie.qiexiao(path_2, wenjian_1, path_new)
bl.pingheng_2(path, guanjianzi=s2 + '_' +
'pingheng') #把标签全部是0的文件都移动到桌面去,因为切割之后会留下很多标签全是0的文件
zx.zuixiao(path, guanjianzi=s2 + '_' + 'pingheng', xiaxian=10)
s2 = s2 + '_' + 'pingheng'
dataname_2 = dataname_2 + '_' + 'pingheng'
# zhengli.zhengli(path,guanjianzi_1 = s1,guanjianzi_2 = s2,dataname_1 = dataname_1,dataname_2 =dataname_2)#把opentest,closetest,整理出来
# zhengli_mizhichuli.zhengli(path,guanjianzi_2 = s2,dataname_1 = dataname_1,dataname_2=dataname_2)
zhengli_1.zhengli(path,
guanjianzi_2=s2,
dataname_1=dataname_1,
dataname_2=dataname_2,
guanjianzi_3=jieweiguanjianzi)