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@ -321,4 +321,217 @@ TypeError: 'tuple' object does not support item assignment
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(1, 2, 3, 4)
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```
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## 5.1. Специальные типы пользовательских функций. Анонимные функции
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```py
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>>> import math
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>>> anfun1 = lambda: 1.5+math.log10(17.23)
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>>> anfun1()
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2.7362852774480286
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>>> anfun2 = lambda a,b: a+math.log10(b)
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>>> anfun2(17,234)
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19.369215857410143
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>>> anfun3=lambda a,b=234: a+math.log10(b)
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>>> anfun3(100)
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102.36921585741014
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>>>
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```
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## 5.2. Функции-генераторы
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```py
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>>> def func5(diap,shag):
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"""Итератор, возвращающий значения
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из диапазона от 1 до diap с шагом shag"""
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for j in range(1,diap+1, shag):
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yield j
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>>> for mm in func5(7,3):
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print(mm)
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1
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4
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7
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>>> alp = func5(7,3)
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>>> print(alp,__next__())
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>>> print(alp.__next__())
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1
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>>> print(alp.__next__())
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4
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>>> print(alp.__next__())
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7
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>>> print(alp.__next__())
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Traceback (most recent call last):
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File "<pyshell#26>", line 1, in <module>
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print(alp.__next__())
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StopIteration
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```
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## 6.1. Примеры на локализацию объектов
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### Пример 1.
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```py
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>>> glb=10
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>>> def func7(arg):
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loc1=15
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glb=8
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return loc1*arg
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>>> res=func7(glb)
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>>> res
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150
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>>> glb
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10
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```
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### Пример 2.
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```py
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>>> def func8(arg):
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loc1 = 15
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print(glb)
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glb=8
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return(loc1*arg)
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>>> res=func8(glb)
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Traceback (most recent call last):
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File "<pyshell#42>", line 1, in <module>
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res=func8(glb)
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File "<pyshell#41>", line 3, in func8
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print(glb)
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UnboundLocalError: local variable 'glb' referenced before assignment
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>>> def func8(arg):
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loc1 = 15
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glb=8
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print(glb)
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return(loc1*arg)
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>>> res = func8(glb)
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8
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>>> res
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150
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>>>
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```
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### Пример 3.
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```py
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>>> glb = 11
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>>> def func7(arg):
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loc1=15
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global glb
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print(glb)
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glb = 8
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return loc1*arg
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>>> res = func7(glb)
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11
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>>> glb
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8
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```
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## 6.2. Выявление локализации
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```py
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>>> globals().keys()
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dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8'])
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>>> locals().keys()
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dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8'])
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>>> def func8(arg):
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loc1 = 15
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glb=8
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print(globals().keys())
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print(locals().keys())
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return loc1*arg
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>>> hh=func8(glb)
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dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__annotations__', '__builtins__', 'os', 'anfun1', 'math', 'anfun2', 'anfun3', 'func5', 'mm', 'alp', 'glb', 'func7', 'res', 'func8'])
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dict_keys(['arg', 'loc1', 'glb'])
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>>> 'glb' in globals().keys()
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True
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```
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## 6.3. Локализация объектов при работе с вложенными функциями
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```py
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>>> def func9(arg2,arg3):
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def func9_1(arg1):
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loc1=15
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glb1=8
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print('glob_func9_1:', globals().keys())
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print('loc1_func9_1:', locals().keys())
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return loc1*arg1
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loc1=5
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glb=func9_1(loc1)
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print('loc_func9:',locals().keys())
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print('glob_func9:',globals().keys())
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return arg2+arg3*glb
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>>> kk=func9(10,1)
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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'])
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loc1_func9_1: dict_keys(['arg1', 'loc1', 'glb1'])
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loc_func9: dict_keys(['arg2', 'arg3', 'func9_1', 'loc1', 'glb'])
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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'])
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>>> kk
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85
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```
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## 6.4.
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```py
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>>> znach=input('k1,T,k2,Xm,A,F,N=').split(',')
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k1,T,k2,Xm,A,F,N=5,20,2,1,10,0.02,50
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>>> T=float(znach[1])
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>>> k2 = float(znach[2])
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>>> k1=float(znach[0])
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>>> Xm = float(znach[3])
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>>> A=float(znach[4])
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>>> F=float(znach[5])
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>>> N=int(znach[6])
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>>> vhod=[]
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>>> for i in range(N):
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vhod.append(A*math.sin((2*i*math.pi)*F))
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>>> vhod
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[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]
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>>> def realdvig(xtt,kk1,TT,yti1,ytin1):
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yp=kk1*xtt
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yti1=yp+yti1
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ytin1=(yti1+TT*ytin1)/(TT+1)
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return [yti1,ytin1]
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>>> def tahogen(xtt,kk2,yti2):
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yp=kk2*xtt
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yti2=yp+yti2
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return yti2
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>>> def nechus(xtt,gran):
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if xtt<gran and xtt>(-gran):
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ytt=0
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elif xtt>=gran:
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ytt=xtt-gran
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elif xtt<=(-gran):
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ytt=xtt+gran
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return ytt
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>>> yi1=0;yin1=0;yi2=0
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>>> vyhod=[]
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>>> for xt in vhod:
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xt1=xt-yi2
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[yi1,yin1]=realdvig(xt1,k1,T,yi1,yin1)
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yi2=tahogen(yin1,k2,yi2)
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yt=nechus(yin1,Xm)
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vyhod.append(yt)
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>>> print('y=',vyhod)
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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]
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>>> import pylab
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>>> pylab.plot(vyhod)
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[<matplotlib.lines.Line2D object at 0x000001C8BDCE54C0>]
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>>> pylab.show()
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```
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SavinSA
Пользователь № 9 аудитории Ж-206
