report full

TEMA7/report.md

@@ -321,4 +321,217 @@ TypeError: 'tuple' object does not support item assignment
 (1, 2, 3, 4)
 ```
 
+## 5.1. Специальные типы пользовательских функций. Анонимные функции
+
+```py
+>>> import math
+>>> anfun1 = lambda: 1.5+math.log10(17.23)
+>>> anfun1()
+2.7362852774480286
+>>> anfun2 = lambda a,b: a+math.log10(b)
+>>> anfun2(17,234)
+19.369215857410143
+>>> anfun3=lambda a,b=234: a+math.log10(b)
+>>> anfun3(100)
+102.36921585741014
+>>> 
+```
+
+## 5.2. Функции-генераторы
+
+```py
+>>> def func5(diap,shag):
+	"""Итератор, возвращающий значения
+	из диапазона от 1 до diap с шагом shag"""
+	for j in range(1,diap+1, shag):
+		yield j
+
+		
+>>> for mm in func5(7,3):
+	print(mm)
+
+	
+1
+4
+7
+>>> alp = func5(7,3)
+>>> print(alp,__next__())
+>>> print(alp.__next__())
+1
+>>> print(alp.__next__())
+4
+>>> print(alp.__next__())
+7
+>>> print(alp.__next__())
+Traceback (most recent call last):
+  File "<pyshell#26>", line 1, in <module>
+    print(alp.__next__())
+StopIteration
+```
+
+## 6.1. Примеры на локализацию объектов
+
+### Пример 1.
+```py
+>>> glb=10
+>>> def func7(arg):
+	loc1=15
+	glb=8
+	return loc1*arg
+
+>>> res=func7(glb)
+>>> res
+150
+>>> glb
+10
+```
+
+### Пример 2.
+
+```py
+>>> def func8(arg):
+	loc1 = 15
+	print(glb)
+	glb=8
+	return(loc1*arg)
+
+>>> res=func8(glb)
+Traceback (most recent call last):
+  File "<pyshell#42>", line 1, in <module>
+    res=func8(glb)
+  File "<pyshell#41>", line 3, in func8
+    print(glb)
+UnboundLocalError: local variable 'glb' referenced before assignment
+>>> def func8(arg):
+	loc1 = 15
+	glb=8
+	print(glb)
+	return(loc1*arg)
+
+>>> res = func8(glb)
+8
+>>> res
+150
+>>> 
+```
+
+### Пример 3.
+
+```py
+>>> glb = 11
+>>> def func7(arg):
+	loc1=15
+	global glb
+	print(glb)
+	glb = 8
+	return loc1*arg
+
+>>> res = func7(glb)
+11
+>>> glb
+8
+```
+
+## 6.2. Выявление локализации
+
+```py
+>>> globals().keys()
+dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8'])
+>>> locals().keys()
+dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8'])
+>>> def func8(arg):
+	loc1 = 15
+	glb=8
+	print(globals().keys())
+	print(locals().keys())
+	return loc1*arg
+
+>>> hh=func8(glb)
+dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8'])
+dict_keys(['arg', 'loc1', 'glb'])
+>>> 'glb' in globals().keys()
+True
+```
+## 6.3. Локализация объектов при работе с вложенными функциями
+
+```py
+>>> def func9(arg2,arg3):
+	def func9_1(arg1):
+		loc1=15
+		glb1=8
+		print('glob_func9_1:', globals().keys())
+		print('loc1_func9_1:', locals().keys())
+		return loc1*arg1
+	loc1=5
+	glb=func9_1(loc1)
+	print('loc_func9:',locals().keys())
+	print('glob_func9:',globals().keys())
+	return arg2+arg3*glb
+
+>>> kk=func9(10,1)
+glob_func9_1: dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8', 'hh', 'func9'])
+loc1_func9_1: dict_keys(['arg1', 'loc1', 'glb1'])
+loc_func9: dict_keys(['arg2', 'arg3', 'func9_1', 'loc1', 'glb'])
+glob_func9: dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8', 'hh', 'func9'])
+>>> kk
+85
+```
+
+## 6.4. 
+
+```py
+>>> znach=input('k1,T,k2,Xm,A,F,N=').split(',')
+k1,T,k2,Xm,A,F,N=5,20,2,1,10,0.02,50
+>>> T=float(znach[1])
+>>> k2 = float(znach[2])
+>>> k1=float(znach[0])
+>>> Xm = float(znach[3])
+>>> A=float(znach[4])
+>>> F=float(znach[5])
+>>> N=int(znach[6])
+>>> vhod=[]
+>>> for i in range(N):
+	vhod.append(A*math.sin((2*i*math.pi)*F))
+
+	
+>>> vhod
+[0.0, 1.2533323356430426, 2.486898871648548, 3.6812455268467796, 4.817536741017153, 5.877852522924732, 6.845471059286887, 7.705132427757892, 8.443279255020151, 9.048270524660197, 9.510565162951535, 9.822872507286887, 9.980267284282716, 9.980267284282716, 9.822872507286887, 9.510565162951536, 9.048270524660195, 8.44327925502015, 7.705132427757892, 6.845471059286888, 5.877852522924733, 4.817536741017152, 3.6812455268467814, 2.486898871648548, 1.2533323356430408, 1.2246467991473533e-15, -1.2533323356430428, -2.486898871648546, -3.681245526846779, -4.817536741017154, -5.87785252292473, -6.845471059286884, -7.705132427757894, -8.443279255020153, -9.048270524660198, -9.510565162951535, -9.822872507286887, -9.980267284282716, -9.980267284282716, -9.822872507286887, -9.510565162951536, -9.048270524660198, -8.44327925502015, -7.705132427757896, -6.84547105928689, -5.877852522924734, -4.817536741017153, -3.6812455268467787, -2.486898871648545, -1.2533323356430466]
+>>> def realdvig(xtt,kk1,TT,yti1,ytin1):
+	yp=kk1*xtt
+	yti1=yp+yti1
+	ytin1=(yti1+TT*ytin1)/(TT+1)
+	return [yti1,ytin1]
+
+>>> def tahogen(xtt,kk2,yti2):
+	yp=kk2*xtt
+	yti2=yp+yti2
+	return yti2
+
+>>> def nechus(xtt,gran):
+	if xtt<gran and xtt>(-gran):
+		ytt=0
+	elif xtt>=gran:
+		ytt=xtt-gran
+	elif xtt<=(-gran):
+		ytt=xtt+gran
+	return ytt
+
+>>> yi1=0;yin1=0;yi2=0
+>>> vyhod=[]
+>>> for xt in vhod:
+	xt1=xt-yi2
+	[yi1,yin1]=realdvig(xt1,k1,T,yi1,yin1)
+	yi2=tahogen(yin1,k2,yi2)
+	yt=nechus(yin1,Xm)
+	vyhod.append(yt)
+
+	
+>>> print('y=',vyhod)
+y= [0, 0, 0.03263241167294595, 0.9745456461939759, 1.4445477037255587, 0.5534963485187296, -0.14317115231403954, -3.810424583957446, -5.935617950854518, -3.1454619295767294, 4.410078865544928, 17.906974115100144, 26.191694213352932, 16.564012161149634, -16.52439077227259, -67.59051021156763, -101.3214249457787, -69.9621783842152, 55.00346225455457, 246.14981490076363, 380.49988175932214, 278.83918136760593, -179.12097686946288, -894.831188510742, -1427.8203056594884, -1106.6971235336005, 553.0427518851675, 3227.436842271835, 5328.628272818676, 4345.723637601036, -1642.536200959916, -11619.299856185102, -19859.46237228057, -16988.531756411103, 4552.501490270824, 41710.04551030272, 73876.07518877511, 66108.68459616054, -11169.337014708513, -149332.61878005945, -274368.6364383781, -256250.17990633397, 20228.386522231223, 533135.2397813796, 1017335.790045514, 989751.144011423, 3441.7330011494814, -1897576.0088700322, -3766140.0629690504, -3810393.13835538]
+>>> import pylab
+>>> pylab.plot(vyhod)
+[<matplotlib.lines.Line2D object at 0x000001C8BDCE54C0>]
+>>> pylab.show()
+```
+![Скриншот полученного графика](pic2.png)