def DataError(datatype, datarange, num, strlen):
'''
dataSampling函数的异常生成函数
:param datatype:Type of random data
:param datarange:
:param num:Random number
:param strlen:length of string
:return: a data set
'''
if ie('Type', datatype, (int, str, float)).ErrorSelection():
raise DatatypeError(datatype)
if ie('Iter', datarange).ErrorSelection():
raise DatarangeError(datarange)
if ie('Range', datarange).ErrorSelection():
raise RangeError
if type(num) is not int:
raise NumError
if type(strlen) is not int:
raise StrlenError
def dataScreening(data, datatype, *condition):
'''
:param data:Iterative random data type
:param condition:
if type of the values in data is 'int' or 'float':
condition[0] uses '[]','()','(]' and '[)' to represent the opening or closing condition of the section
condition[1] is a tuple which represents the upper and lower boundaries of data
if type of the values in data is 'str':
conditions means substrings of string
:return:Filter results
'''
try:
if ie('Iter', data).ErrorSelection():
raise DatarangeError(data)
result = set()
if datatype is int or datatype is float:
section = condition[0]
datarange = condition[1]
for value in data:
if section == '[]' and value >= datarange[
0] and value <= datarange[1]:
result.add(value)
if section == '()' and value > datarange[
0] and value < datarange[1]:
result.add(value)
if section == '(]' and value > datarange[
0] and value <= datarange[1]:
result.add(value)
if section == '[)' and value >= datarange[
0] and value < datarange[1]:
result.add(value)
if datatype is str:
substrings = condition
for value in data:
for substring in substrings:
if substring in value:
result.add(value)
return result
except DatarangeError as e:
print("Type", e.datatype, "is not include")
except ValueError as e:
print(e)
except MemoryError as e:
print(e)
except TypeError as e:
print(e)
except Exception as e:
print(e)
traceback.print_exc()