本文整理汇总了Python中Interpreter.do_create_graph方法的典型用法代码示例。如果您正苦于以下问题：Python Interpreter.do_create_graph方法的具体用法？Python Interpreter.do_create_graph怎么用？Python Interpreter.do_create_graph使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Interpreter的用法示例。
在下文中一共展示了Interpreter.do_create_graph方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: MainTests
# 需要导入模块: import Interpreter [as 别名]
# 或者: from Interpreter import do_create_graph [as 别名]
#.........这里部分代码省略.........
def test_20(self):
self.assertIsInstance(self.interpreter.file_handler, IFileHandler)
def test_21(self):
self.interpreter.do_backup_database("test.db")
self.assertTrue(os.path.isfile("test.db"))
def test_22(self):
self.interpreter.do_backup_database("test.db")
self.assertFalse(os.path.isfile("default.db"))
def test_23(self):
data = self.interpreter.database.backup_database()
compare_data = [('e01', 'm', 20, 20, 'Normal', 100, '12-06-17'), ('e02', 'f', 21, 21, 'Underweight', 125, '12-07-17'), ('e03', 'm', 21, 21, 'Overweight', 119, '12-07-17'), ('e04', 'f', 22, 22, 'Normal', 114, '12-08-17'), ('e05', 'm', 21, 21, 'Underweight', 119, '12-07-17'), ('e06', 'f', 22, 22, 'Obesity', 113, '12-08-17'), ('e07', 'm', 21, 21, 'Overweight', 126, '12-07-17'), ('e08', 'f', 22, 22, 'Obesity', 130, '12-08-17'), ('e09', 'm', 21, 21, 'Underweight', 132, '12-07-17'), ('e10', 'f', 21, 21, 'Overweight', 140, '12-07-17'), ('e11', 'm', 22, 22, 'Normal', 149, '12-08-17'), ('e12', 'f', 21, 21, 'Underweight', 144, '12-07-17'), ('e13', 'm', 22, 22, 'Obesity', 147, '12-08-17'), ('e14', 'f', 21, 21, 'Overweight', 167, '12-07-17'), ('e15', 'm', 22, 22, 'Obesity', 159, '12-08-17'), ('e16', 'f', 22, 22, 'Normal', 195, '12-08-17')]
self.assertTrue(data==compare_data)
def test_24(self):
data = self.interpreter.database.backup_database()
compare_data = [('e01', 'm', 20, 20, 'Normal', 100, '12-06-17'), ('e02', 'f', 21, 21, 'Underweight', 125, '12-07-17'), ('e03', 'm', 21, 21, 'Overweight', 119, '12-07-17'), ('e04', 'f', 22, 22, 'Normal', 114, '12-08-17'), ('e05', 'm', 21, 21, 'Underweight', 119, '12-07-17'), ('e06', 'f', 22, 22, 'Obesity', 113, '12-08-17'), ('e07', 'm', 21, 21, 'Overweight', 126, '12-07-17'), ('e08', 'f', 22, 22, 'Obesity', 130, '12-08-17'), ('e09', 'm', 21, 21, 'Underweight', 132, '12-07-17'), ('e10', 'f', 21, 21, 'Overweight', 140, '12-07-17'), ('e11', 'm', 22, 22, 'Normal', 149, '12-08-17'), ('e12', 'f', 21, 21, 'Underweight', 144, '12-07-17'), ('e13', 'm', 22, 22, 'Obesity', 147, '12-08-17'), ('e14', 'f', 21, 21, 'Overweight', 167, '12-07-17'), ('e15', 'm', 22, 22, 'Obesity', 159, '12-08-17'), ('e16', 'f', 22, 22, 'Normal', 195, '12-08-17')]
self.assertTrue(data[1]==compare_data[1])
def test_25(self):
data = self.interpreter.database.backup_database()
compare_data = [('e01', 'm', 20, 20, 'Normal', 100, '12-06-17'), ('e02', 'f', 21, 21, 'Underweight', 125, '12-07-17'), ('e03', 'm', 21, 21, 'Overweight', 119, '12-07-17'), ('e04', 'f', 22, 22, 'Normal', 114, '12-08-17'), ('e05', 'm', 21, 21, 'Underweight', 119, '12-07-17'), ('e06', 'f', 22, 22, 'Obesity', 113, '12-08-17'), ('e07', 'm', 21, 21, 'Overweight', 126, '12-07-17'), ('e08', 'f', 22, 22, 'Obesity', 130, '12-08-17'), ('e09', 'm', 21, 21, 'Underweight', 132, '12-07-17'), ('e10', 'f', 21, 21, 'Overweight', 140, '12-07-17'), ('e11', 'm', 22, 22, 'Normal', 149, '12-08-17'), ('e12', 'f', 21, 21, 'Underweight', 144, '12-07-17'), ('e13', 'm', 22, 22, 'Obesity', 147, '12-08-17'), ('e14', 'f', 21, 21, 'Overweight', 167, '12-07-17'), ('e15', 'm', 22, 22, 'Obesity', 159, '12-08-17'), ('e16', 'f', 22, 22, 'Normal', 195, '12-08-17')]
self.assertFalse(data[1]==compare_data[3])
def test_26(self):
data = self.interpreter.database.backup_database()
compare_data = [('e01', 'm', 20, 20, 'Normal', 100, '12-06-17'), ('e02', 'f', 21, 21, 'Underweight', 125, '12-07-17'), ('e03', 'm', 21, 21, 'Overweight', 119, '12-07-17'), ('e04', 'f', 22, 22, 'Normal', 114, '12-08-17'), ('e05', 'm', 21, 21, 'Underweight', 119, '12-07-17'), ('e06', 'f', 22, 22, 'Obesity', 113, '12-08-17'), ('e07', 'm', 21, 21, 'Overweight', 126, '12-07-17'), ('e08', 'f', 22, 22, 'Obesity', 130, '12-08-17'), ('e09', 'm', 21, 21, 'Underweight', 132, '12-07-17'), ('e10', 'f', 21, 21, 'Overweight', 140, '12-07-17'), ('e11', 'm', 22, 22, 'Normal', 149, '12-08-17'), ('e12', 'f', 21, 21, 'Underweight', 144, '12-07-17'), ('e13', 'm', 22, 22, 'Obesity', 147, '12-08-17'), ('e14', 'f', 21, 21, 'Overweight', 167, '12-07-17'), ('e15', 'm', 22, 22, 'Obesity', 159, '12-08-17'), ('e16', 'f', 22, 22, 'Normal', 195, '12-08-17')]
self.assertIn(data[5], compare_data)
def test_27(self):
self.interpreter.do_create_graph("pie gender")
self.assertTrue(len(self.interpreter.graphs) == 1)
def test_28(self):
self.interpreter.do_create_graph("pie gender")
self.interpreter.do_create_graph("pie gender")
self.interpreter.do_create_graph("pie gender")
self.assertTrue(len(self.interpreter.graphs) != 1)
def test_29(self):
self.interpreter.do_create_graph("pie gender")
self.interpreter.do_create_graph("pie gender")
self.interpreter.do_create_graph("pie gender")
self.assertTrue(len(self.interpreter.graphs) != 1)
def test_30(self):
self.interpreter.do_create_graph("pie gender")
self.interpreter.do_create_graph("pie gender")
self.interpreter.do_create_graph("pie gender")
self.assertTrue(self.interpreter.graphs[0] != self.interpreter.graphs[1])
def test_31(self):
data = [("e53", "m", "88", "20", "Normal", "100", "12-06-17"),
("e54", "f", "81", "21", "Underweight", "125", "12-07-17")]
self.interpreter.database.write_to_database(data)
self.interpreter.database.commit()
self.interpreter.database.reset()
self.interpreter.database.commit()
data_new = self.interpreter.database.backup_database()
self.assertTrue(data_new != data)
def test_32(self):
data = [("e53", "m", "88", "20", "Normal", "100", "12-06-17"),