def write_result(self):
f_path = myUtil.get_result_fpath(self.dir, self.name)
w_path = myUtil.get_result_wpath(self.dir, self.name)
f_content = self.vector_2_str(self.f, to_int=True)
w_content = self.vector_2_str(self.w)
with open(f_path, 'w') as f:
f.write(f_content)
with open(w_path, 'w') as f:
f.write(w_content)
def __init__(self, dir, name):
self.dir = dir
self.name = name
allfiles = Util.read_tera_all_csv(dir + name)
self.raw_filepath = allfiles[allfiles.__len__() - 1]
self.truth_filepath = Util.get_exist_path(self.raw_filepath)
self.all_file_path = Util.get_allfile_path(self.dir, self.name)
self.true_positive = 0
self.false_positive = 0
self.true_negative = 0
self.false_negative = 0
self.read_ground_truth()
def read_files_num(self):
filepath = myUtil.get_allfile_path(self.dir, self.name)
with open(filepath, 'r') as f:
lines = f.readlines()
empty_count = 0
for line in lines:
if line == "" or line.isspace():
empty_count += 1
return lines.__len__() - empty_count
def read_I(self, file1, file2):
i_path = myUtil.get_i_path(file1, file2)
vector_i = np.zeros(self.total_file_num)
with open(i_path, 'r') as f:
line = f.readline()
parts = line.split(',')
index = 0
while index < parts.__len__():
vector_i[index] = float(parts[index])
index += 1
return vector_i
def read_y(self, filename):
y_path = myUtil.get_y_path(filename)
vector_y = np.zeros(self.total_file_num)
with open(y_path, 'r') as f:
line = f.readline()
parts = line.split(',')
index = 0
while index < parts.__len__():
vector_y[index] = float(parts[index])
index += 1
return vector_y
def read_l(self, filename, target=False):
l_path = myUtil.get_l_path(filename, self.sim_type, target)
with open(l_path, 'r') as f:
lines = f.readlines()
matrix_l = np.zeros((self.total_file_num, self.total_file_num),
dtype=np.double)
row = 0
while row < lines.__len__():
line = lines[row]
if line.isspace() or line == "":
continue
parts = line.split(',')
col = 0
while col < parts.__len__():
matrix_l[row][col] = float(parts[col])
col += 1
row += 1
return matrix_l
def get_ver_files(self):
file_dir = self.dir + self.name
return myUtil.read_tera_all_csv(file_dir)