From 614035593a6f7a65eeabab51a1b8177037feb360 Mon Sep 17 00:00:00 2001
From: Danil <you@example.com>
Date: Thu, 23 Oct 2025 21:09:08 +0300
Subject: [PATCH] =?UTF-8?q?report:=20=D0=B4=D0=BE=D0=B1=D0=B0=D0=B2=D0=BB?=
 =?UTF-8?q?=D0=B5=D0=BD?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 TEMA4/Ris1.png     | Bin 0 -> 20051 bytes
 TEMA4/Ris2.png     | Bin 0 -> 26210 bytes
 TEMA4/Ris3.png     | Bin 0 -> 15503 bytes
 TEMA4/Ris4.png     | Bin 0 -> 7589 bytes
 TEMA4/Ris5.png     | Bin 0 -> 13037 bytes
 TEMA4/protocol.md  | 396 +++++++++++++++++++++++++++++++++++++++++++++
 TEMA4/protocol4.py | 299 ++++++++++++++++++++++++++++++++++
 TEMA4/task.md      |  51 ++++++
 TEMA4/task.py      |  35 ++++
 9 files changed, 781 insertions(+)
 create mode 100644 TEMA4/Ris1.png
 create mode 100644 TEMA4/Ris2.png
 create mode 100644 TEMA4/Ris3.png
 create mode 100644 TEMA4/Ris4.png
 create mode 100644 TEMA4/Ris5.png
 create mode 100644 TEMA4/protocol.md
 create mode 100644 TEMA4/protocol4.py
 create mode 100644 TEMA4/task.md
 create mode 100644 TEMA4/task.py

diff --git a/TEMA4/Ris1.png b/TEMA4/Ris1.png
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diff --git a/TEMA4/protocol.md b/TEMA4/protocol.md
new file mode 100644
index 0000000..cb958bb
--- /dev/null
+++ b/TEMA4/protocol.md
@@ -0,0 +1,396 @@
+###  Отчёт по теме 4 
+Лазарев Данил Вячеславович А-01-23
+
+### 1.Запуск оболочки IDLE.
+```
+import os
+os.chdir('C:\\Users\\Dannyan\\OneDrive\\Рабочий стол\\python-labs\\TEMA4\\')
+
+```
+### 2.Изучение стандартных функций.
+## 2.1. Функция round - округление с заданной точностью.
+Получим справку по назначению этой функции
+```
+help(round)
+Help on built-in function round in module builtins:
+
+round(number, ndigits=None)
+    Round a number to a given precision in decimal digits.
+
+    The return value is an integer if ndigits is omitted or None.  Otherwise
+    the return value has the same type as the number.  ndigits may be negative.
+```
+Используем функцию и определим тип результатов вычисления
+```
+round(123.456,1)
+123.5
+round(123.456,0)
+123.0
+type(round(123.456,0))
+<class 'float'>
+type(round(123.456,1))
+<class 'float'>
+round(123.456)
+123
+type(round(123.456))
+<class 'int'>
+```
+## 2.2.  Функция range – создание последовательности целых чисел с заданным шагом или, по умолчанию, с шагом 1. 
+```
+gg=range(76,123,9)
+list(gg)
+[76, 85, 94, 103, 112, 121]
+a = range(23)
+list(a)
+[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]
+#значения от 0 до 23, шаг 1, границы 0 - 22
+```
+При подобной записи переменной a строится последовательность от 0 до конечного значения, указанного ранее, с базовым шагом 1.
+
+## 2.3.  Функция zip – создание общего объекта, элементами которого являются кортежи, составленные из  элементов двух или более объектов-последовательностей.
+Создадим объект список и применим к нему функцию zip
+```
+qq = ['Lazarev','Anisenkov','Fillipova','Jalnin']
+ff=zip(gg,qq)
+tuple(ff)
+((76, 'Lazarev'), (85, 'Anisenkov'), (94, 'Fillipova'), (103, 'Jalnin'))
+```
+Стоит заметить, что объекты воздействуемые функцией zip не предполагают возможности обращения по индексу
+## 2.4.Функция eval – вычисление значения выражения, корректно записанного на языке Python и представленного в виде символьной строки.
+```
+fff=float(input('коэффициент усиления=')); dan=eval('5*fff-156')
+коэффициент усиления=5
+dan
+```
+## 2.5.Функция exec – чтение и выполнение объекта-аргумента функции.
+```
+exec(input('введите инструкции:'))
+введите инструкции:perem=-123.456;gg=round(abs(perem)+98,3)
+gg
+
+```
+## 2.6.Рассмотрим ряд прочих функций:
+abs модуль заданного выражения или числа 
+pow возведение заданного числа в указанную степень 
+max находит максимальное из воозможных значений списка 
+min находит максимальное значение из возможных в списке 
+sum суммирует заданный набор чисел(элементы списка)
+len выдает длину рассматриваемого объекта 
+map применяет заданную функцию к каждому элементу заданного объекта
+divmod(с,d) проводит операцию вида (c//d,c%d) и выводит кортеж с полученными значениями
+```
+abs(-36)
+
+pow(2,2)
+
+max([1,2,3,4,33,3,2,1,5,0])
+
+min([1,2,3,4,33,3,2,1,5,0])
+
+sum([1,2,3,4,33,3,2,1,5,0])
+
+divmod(7,3)
+
+len([1,2,3,4,33,3,2,1,5,0])
+
+o = [1,2,3,4,33,3,2,1,5,0]
+def f(x):
+    return x*x*x
+list(map(f,o))
+```
+### 3. Функции из стандартного модуля math
+## Импортируем необходимую библеотеку
+```
+import math
+dir(math)
+['__doc__', '__loader__', '__name__', '__package__', '__spec__', 'acos', 'acosh', 'asin', 'asinh', 'atan', 'atan2', 'atanh', 'cbrt', 'ceil', 'comb', 'copysign', 'cos', 'cosh', 'degrees', 'dist', 'e', 'erf', 'erfc', 'exp', 'exp2', 'expm1', 'fabs', 'factorial', 'floor', 'fma', 'fmod', 'frexp', 'fsum', 'gamma', 'gcd', 'hypot', 'inf', 'isclose', 'isfinite', 'isinf', 'isnan', 'isqrt', 'lcm', 'ldexp', 'lgamma', 'log', 'log10', 'log1p', 'log2', 'modf', 'nan', 'nextafter', 'perm', 'pi', 'pow', 'prod', 'radians', 'remainder', 'sin', 'sinh', 'sqrt', 'sumprod', 'tan', 'tanh', 'tau', 'trunc', 'ulp']
+```
+sin выдаёт синус аргумента в радианах
+acos  выдает арккосинус аргумента в радианах
+degrees переводит число в радианах в градусы
+radians переводит число в градусах в радианы
+exp значение числа e, возведенного в степень указаную в аргументе
+log считает натуральный логарифм числа
+log10 считает десятичный логарифм числа
+sqrt рассчет корня числа
+ceil округление число вверх
+floor округление число вниз
+pi представление числа пи в питоне
+```
+help(math.factorial)
+Help on built-in function factorial in module math:
+factorial(n, /)
+    Find n!. 
+
+math.factorial(5)
+120
+math.sin(1)
+0.8414709848078965
+math.acos(1)
+0.0
+math.degrees(36)
+2062.648062470964
+math.radians(2062.648062470964)
+36.00000000000001
+math.exp(2)
+7.38905609893065
+math.log(100)
+4.605170185988092
+math.log10(100)
+2.0
+math.sqrt(100)
+10.0
+math.ceil(58.3)
+59
+math.floor(58.3)
+58
+math.pi
+3.141592653589793
+math.sin(((2*math.pi)/7 + math.exp(0.23)))
+0.8334902641414562
+```
+### 4.Функции из модуля cmath
+Импортируем и рассмотрим использование функций для работы с комплексными числами.
+```
+import cmath
+dir(cmath)
+['__doc__', '__loader__', '__name__', '__package__', '__spec__', 'acos', 'acosh', 'asin', 'asinh', 'atan', 'atanh', 'cos', 'cosh', 'e', 'exp', 'inf', 'infj', 'isclose', 'isfinite', 'isinf', 'isnan', 'log', 'log10', 'nan', 'nanj', 'phase', 'pi', 'polar', 'rect', 'sin', 'sinh', 'sqrt', 'tan', 'tanh', 'tau']
+cmath.sqrt(1.2-0.5j)
+(1.118033988749895-0.22360679774997896j)
+cmath.phase(1-0.5j)
+-0.4636476090008061
+``` 
+
+### 5.Стандартный модуль random
+```
+import random
+dir(random)
+['BPF', 'LOG4', 'NV_MAGICCONST', 'RECIP_BPF', 'Random', 'SG_MAGICCONST', 'SystemRandom', 'TWOPI', '_ONE', '_Sequence', '__all__', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', '_accumulate', '_acos', '_bisect', '_ceil', '_cos', '_e', '_exp', '_fabs', '_floor', '_index', '_inst', '_isfinite', '_lgamma', '_log', '_log2', '_os', '_parse_args', '_pi', '_random', '_repeat', '_sha512', '_sin', '_sqrt', '_test', '_test_generator', '_urandom', 'betavariate', 'binomialvariate', 'choice', 'choices', 'expovariate', 'gammavariate', 'gauss', 'getrandbits', 'getstate', 'lognormvariate', 'main', 'normalvariate', 'paretovariate', 'randbytes', 'randint', 'random', 'randrange', 'sample', 'seed', 'setstate', 'shuffle', 'triangular', 'uniform', 'vonmisesvariate', 'weibullvariate']
+help(random.seed)
+Help on method seed in module random:
+
+seed(a=None, version=2) method of random.Random instance
+    Initialize internal state from a seed.
+
+    The only supported seed types are None, int, float,
+    str, bytes, and bytearray.
+
+    None or no argument seeds from current time or from an operating
+    system specific randomness source if available.
+
+    If *a* is an int, all bits are used.
+
+    For version 2 (the default), all of the bits are used if *a* is a str,
+    bytes, or bytearray.  For version 1 (provided for reproducing random
+    sequences from older versions of Python), the algorithm for str and
+    bytes generates a narrower range of seeds.
+```
+
+## random равномерно распределенное случайное число
+```
+random.seed()
+r = random.random()
+r
+0.7602265821504725
+```
+## uniform равномерно распределенное случайное число в диапазоне, заданном двумя аргументам
+```
+a = random.uniform(1,3)             
+a     
+1.6506391388455899
+```
+## randint случайное целые число из заданного диапазона
+```
+b = random.randint(1, 19)           
+b            
+8
+```
+## gauss нормально распределенное случайное число с средним равным первому аргументу и стандартным отклонением равным второму аргументу
+```
+c = random.gauss()        
+c        
+-2.8896415965159985
+d = random.gauss(1,0)              
+d          
+1.0
+
+d = random.gauss(1,1)
+               
+d             
+0.05266125395944099
+```
+## choice случайный элемент из совокупности указанной в аргументе
+```
+b =[2,3,1,2,3,4,6]              
+e = random.choice(b)              
+e        
+2
+```
+## shuffle случайная перестановка элементов списка в аргументе
+```
+random.shuffle(b)             
+b           
+[3, 2, 2, 6, 3, 1, 4]
+```
+## sample случайный выбор подмножества элементов из списка в первом аргументе
+```
+k =  random.sample(b,4)             
+k           
+[3, 2, 2, 4]
+```
+## betavariate случайное число с бета-распределением
+```
+p = random.betavariate(1,2)             
+p              
+0.48596997669197367
+```
+## gammavariate случайное число с гамма-распределением
+```
+p = random.gammavariate(1,1)              
+p             
+1.2802780104125937
+```
+Создадим свой список с заданными в задании распределениями
+```
+f = [ random.uniform(1,3),  random.gauss(1,2), random.betavariate(2,2), random.gammavariate(2,3)]
+               
+f             
+[2.247730869060465, 3.871209301585315, 0.39715861559850196, 3.959028762460888]
+```
+### 6. Функции модуля time - работа с календарем и со временем
+Изучим и применим методы из модуля time:
+
+time время в секундах,прошедшее с начала эпохи, за которое обычно принимается 01.01.1970г
+gmtime объект класса struct_time, содержащий полную информацию о текущем времени: год (tm_year), месяц (tm_mon), день tm_mday) и т.д.
+localtime получение «местного» времени 
+asctime преобразовывает представление времени из кортежа в строку
+ctime преобразование времени в секундах,прошедшего с начала эпохи, в строку
+sleep преостановка работы программы на заданное время в секундах
+mktime преобразовает время из кортежа или struct_time в число секунд с начала эпохи.
+```
+import time
+dir(time)
+['_STRUCT_TM_ITEMS', '__doc__', '__loader__', '__name__', '__package__', '__spec__', 'altzone', 'asctime', 'ctime', 'daylight', 'get_clock_info', 'gmtime', 'localtime', 'mktime', 'monotonic', 'monotonic_ns', 'perf_counter', 'perf_counter_ns', 'process_time', 'process_time_ns', 'sleep', 'strftime', 'strptime', 'struct_time', 'thread_time', 'thread_time_ns', 'time', 'time_ns', 'timezone', 'tzname']
+c1=time.time()
+c1
+1761161531.581906
+c2=time.time()-c1
+c2
+20.391149044036865
+dat=time.gmtime()
+dat
+time.struct_time(tm_year=2025, tm_mon=10, tm_mday=22, tm_hour=19, tm_min=33, tm_sec=7, tm_wday=2, tm_yday=295, tm_isdst=0)
+dat.tm_mon
+10
+dat.tm_year
+2025
+dat.tm_hour
+19
+dat.tm_min
+33
+c1 = time.localtime
+c1
+<built-in function localtime>
+c1 = time.localtime()
+c1
+time.struct_time(tm_year=2025, tm_mon=10, tm_mday=22, tm_hour=22, tm_min=38, tm_sec=57, tm_wday=2, tm_yday=295, tm_isdst=0)
+c2 = time.asctime(c1)
+c2
+'Wed Oct 22 22:38:57 2025'
+t1 = time.ctime()
+t1
+'Wed Oct 22 22:44:33 2025'
+time.sleep(2)
+t2 = time.mktime(c1)
+t2
+1761161937.0
+```
+### 7. Графические функции.
+Произведем создание линейного графика,показывающего зависимость сигналов от времени
+```
+import pylab
+x=list(range(-3,55,4))
+t=list(range(15))
+pylab.plot(t,x)
+[<matplotlib.lines.Line2D object at 0x000001F66C044B90>]
+pylab.title('Первый график')
+Text(0.5, 1.0, 'Первый график')
+pylab.xlabel('время')
+Text(0.5, 0, 'время')
+pylab.ylabel('сигнал')
+Text(0, 0.5, 'сигнал')
+pylab.show()
+```
+![](Ris1.png)
+Создадим два линейных графика на одном фоне.
+```
+X1=[12,6,8,10,7]
+X2=[5,7,9,11,13]
+pylab.plot(X1)
+[<matplotlib.lines.Line2D object at 0x000001F66CE951D0>]
+pylab.plot(X2)
+[<matplotlib.lines.Line2D object at 0x000001F66CE95310>]
+pylab.show()
+```
+![](Ris2.png)
+Произведем создание круговой диаграммы
+```
+region=['Центр','Урал','Сибирь','Юг']
+naselen=[65,12,23,17]
+pylab.pie(naselen,labels=region)
+([<matplotlib.patches.Wedge object at 0x000001F66BB4DA90>, <matplotlib.patches.Wedge object at 0x000001F66C0FDD10>, <matplotlib.patches.Wedge object at 0x000001F66C0FE850>, <matplotlib.patches.Wedge object at 0x000001F66C0FE5D0>], [Text(-0.191013134139045, 1.0832885038559115, 'Центр'), Text(-0.861328292412156, -0.6841882582231001, 'Урал'), Text(0.04429273995539947, -1.0991078896938387, 'Сибирь'), Text(0.9873750693480946, -0.48486129194837324, 'Юг')])
+pylab.show()
+```
+![](Ris3.png)
+
+Cоздадим собственную гистограмму(по оси у приведена частота повторения значений,по оси х сами значения)
+```
+a = [1,2,1,3,2,4,5,8,5,5,5,2,2,2,2,2]
+pylab.hist(a,bins = 6)
+(array([9., 1., 1., 4., 0., 1.]), array([1.        , 2.16666667, 3.33333333, 4.5       , 5.66666667,
+       6.83333333, 8.        ]), <BarContainer object of 6 artists>)
+pylab.title('Гистограмма')
+Text(0.5, 1.0, 'Гистограмма')
+pylab.show()
+```
+![](Ris4.png)
+
+Создадим собственную столбчатую диаграмму(x - категории, y - значения, относящиеся к конкретной категории)
+```
+marks = ['BMW','Audi','Lada','Reno']
+cost = [20,17,5,10]
+pylab.bar(marks,cost)
+<BarContainer object of 4 artists>
+pylab.title('Stolb')
+Text(0.5, 1.0, 'Stolb')
+pylab.show()
+```
+![](Ris5.png)
+
+### 8. Модуль statistics
+Импортировав модуль, изучим ряд функций данного модуля.
+mean рассчёт среднего
+median рассчёт медианы
+mode рассчёт моды
+stdev рассчёт среднеквадратического отклонения
+variance рассчёт дисперсии
+```
+import statistics
+dir(statistics)
+['Counter', 'Decimal', 'Fraction', 'LinearRegression', 'NormalDist', 'StatisticsError', '_SQRT2', '__all__', '__annotations__', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', '_coerce', '_convert', '_decimal_sqrt_of_frac', '_exact_ratio', '_fail_neg', '_float_sqrt_of_frac', '_integer_sqrt_of_frac_rto', '_isfinite', '_kernel_invcdfs', '_mean_stdev', '_newton_raphson', '_normal_dist_inv_cdf', '_quartic_invcdf', '_quartic_invcdf_estimate', '_random', '_rank', '_sqrt_bit_width', '_sqrtprod', '_ss', '_sum', '_triweight_invcdf', '_triweight_invcdf_estimate', 'acos', 'asin', 'atan', 'bisect_left', 'bisect_right', 'correlation', 'cos', 'cosh', 'count', 'covariance', 'defaultdict', 'erf', 'exp', 'fabs', 'fmean', 'fsum', 'geometric_mean', 'groupby', 'harmonic_mean', 'hypot', 'isfinite', 'isinf', 'itemgetter', 'kde', 'kde_random', 'linear_regression', 'log', 'math', 'mean', 'median', 'median_grouped', 'median_high', 'median_low', 'mode', 'multimode', 'namedtuple', 'numbers', 'pi', 'pstdev', 'pvariance', 'quantiles', 'random', 'reduce', 'repeat', 'sin', 'sqrt', 'stdev', 'sumprod', 'sys', 'tan', 'tau', 'variance']
+a = [1,2,3,4,5,6,7,8,9,10,9,8,7,6,5,4,3,2,1]
+statistics.mean(a)
+5.2631578947368425
+statistics.median(a)
+5
+b = [1,2,1,1,1,2,3,4,5,6,9]
+statistics.mode(b)
+1variance
+c = statistics.stdev(a)
+c
+2.8253240770486627
+d = [1,2,3,2,1]
+v = statistics.variance(d)
+v
+0.7
+```
\ No newline at end of file
diff --git a/TEMA4/protocol4.py b/TEMA4/protocol4.py
new file mode 100644
index 0000000..d23a740
--- /dev/null
+++ b/TEMA4/protocol4.py
@@ -0,0 +1,299 @@
+#Тема 4 <Лазарев Данил Вячеславович>
+import os
+os.chdir('C:\\Users\\Dannyan\\OneDrive\\Рабочий стол\\python-labs\\TEMA4\\')
+help(round)
+Help on built-in function round in module builtins:
+
+round(number, ndigits=None)
+    Round a number to a given precision in decimal digits.
+
+    The return value is an integer if ndigits is omitted or None.  Otherwise
+    the return value has the same type as the number.  ndigits may be negative.
+
+2.Стандартные функции.
+2.1
+round(123.456,1)
+123.5
+round(123.456,0)
+123.0
+type(round(123.456,0))
+<class 'float'>
+type(round(123.456,1))
+<class 'float'>
+round(123.456)
+123
+type(round(123.456))
+<class 'int'>
+2.2
+gg=range(76,123,9)
+list(gg)
+[76, 85, 94, 103, 112, 121]
+a = range(23)
+list(a)
+[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]
+#значения от 0 до 22, шаг 1, границы 0 - 22
+2.3
+qq = 'Lazarev'
+ww = 'Anisenkov'
+rr = 'Fillipova'
+ee = 'Jalnin'
+ff=zip(gg,qq)
+tuple(ff)
+((76, 'L'), (85, 'a'), (94, 'z'), (103, 'a'), (112, 'r'), (121, 'e'))
+ff[1]
+Traceback (most recent call last):
+  File "<pyshell#24>", line 1, in <module>
+    ff[1]
+TypeError: 'zip' object is not subscriptable
+2.4
+fff=float(input('коэффициент усиления=')); dan=eval('5*fff-156')
+коэффициент усиления=5
+dan
+-131.0
+2.5
+exec(input('введите инструкции:'))
+введите инструкции:perem=-123.456;gg=round(abs(perem)+98,3)
+gg
+221.456
+2.6
+abs(-36)
+36
+pow(2,2)
+4
+max([1,2,3,4,33,3,2,1,5,0])
+33
+min([1,2,3,4,33,3,2,1,5,0])
+0
+sum([1,2,3,4,33,3,2,1,5,0])
+54
+divmod(7,3)
+(2, 1)
+len([1,2,3,4,33,3,2,1,5,0])
+10
+o = [1,2,3,4,33,3,2,1,5,0]
+def f(x):
+    return x*x*x
+list(map(f,o))
+[1, 8, 27, 64, 35937, 27, 8, 1, 125, 0]
+3. Функции из стандартного модуля math
+import math
+dir(math)
+['__doc__', '__loader__', '__name__', '__package__', '__spec__', 'acos', 'acosh', 'asin', 'asinh', 'atan', 'atan2', 'atanh', 'cbrt', 'ceil', 'comb', 'copysign', 'cos', 'cosh', 'degrees', 'dist', 'e', 'erf', 'erfc', 'exp', 'exp2', 'expm1', 'fabs', 'factorial', 'floor', 'fma', 'fmod', 'frexp', 'fsum', 'gamma', 'gcd', 'hypot', 'inf', 'isclose', 'isfinite', 'isinf', 'isnan', 'isqrt', 'lcm', 'ldexp', 'lgamma', 'log', 'log10', 'log1p', 'log2', 'modf', 'nan', 'nextafter', 'perm', 'pi', 'pow', 'prod', 'radians', 'remainder', 'sin', 'sinh', 'sqrt', 'sumprod', 'tan', 'tanh', 'tau', 'trunc', 'ulp']
+help(math.factorial)
+Help on built-in function factorial in module math:
+
+factorial(n, /)
+    Find n!.
+math.factorial(5)
+120
+math.sin(1)
+0.8414709848078965
+math.acos(1)
+0.0
+math.degrees(36)
+2062.648062470964
+math.radians(2062.648062470964)
+36.00000000000001
+math.exp(2)
+7.38905609893065
+math.log(100)
+4.605170185988092
+math.log10(100)
+2.0
+math.sqrt(100)
+10.0
+math.ceil(58.3)
+59
+math.floor(58.3)
+58
+math.pi
+3.141592653589793
+math.sin(((2*math.pi)/7 + math.exp(0.23)))
+
+0.8334902641414562
+4.Функции из модуля cmath
+import cmath
+dir(cmath)
+['__doc__', '__loader__', '__name__', '__package__', '__spec__', 'acos', 'acosh', 'asin', 'asinh', 'atan', 'atanh', 'cos', 'cosh', 'e', 'exp', 'inf', 'infj', 'isclose', 'isfinite', 'isinf', 'isnan', 'log', 'log10', 'nan', 'nanj', 'phase', 'pi', 'polar', 'rect', 'sin', 'sinh', 'sqrt', 'tan', 'tanh', 'tau']
+cmath.sqrt(1.2-0.5j)
+(1.118033988749895-0.22360679774997896j)
+cmath.phase(1-0.5j)
+-0.4636476090008061
+5. Стандартный модуль random
+import random
+dir(random)
+['BPF', 'LOG4', 'NV_MAGICCONST', 'RECIP_BPF', 'Random', 'SG_MAGICCONST', 'SystemRandom', 'TWOPI', '_ONE', '_Sequence', '__all__', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', '_accumulate', '_acos', '_bisect', '_ceil', '_cos', '_e', '_exp', '_fabs', '_floor', '_index', '_inst', '_isfinite', '_lgamma', '_log', '_log2', '_os', '_parse_args', '_pi', '_random', '_repeat', '_sha512', '_sin', '_sqrt', '_test', '_test_generator', '_urandom', 'betavariate', 'binomialvariate', 'choice', 'choices', 'expovariate', 'gammavariate', 'gauss', 'getrandbits', 'getstate', 'lognormvariate', 'main', 'normalvariate', 'paretovariate', 'randbytes', 'randint', 'random', 'randrange', 'sample', 'seed', 'setstate', 'shuffle', 'triangular', 'uniform', 'vonmisesvariate', 'weibullvariate']
+help(random.seed)
+Help on method seed in module random:
+
+seed(a=None, version=2) method of random.Random instance
+    Initialize internal state from a seed.
+
+    The only supported seed types are None, int, float,
+    str, bytes, and bytearray.
+
+    None or no argument seeds from current time or from an operating
+    system specific randomness source if available.
+
+    If *a* is an int, all bits are used.
+
+    For version 2 (the default), all of the bits are used if *a* is a str,
+    bytes, or bytearray.  For version 1 (provided for reproducing random
+    sequences from older versions of Python), the algorithm for str and
+    bytes generates a narrower range of seeds.
+random.seed()
+r = random.random()
+r
+0.7602265821504725
+a = random.uniform(1,3)
+               
+a     
+1.6506391388455899
+
+b = random.randint(1, 19)
+               
+b            
+8
+
+c = random.gauss()
+               
+c        
+-2.8896415965159985
+
+d = random.gauss(1,0)
+               
+d          
+1.0
+
+d = random.gauss(1,1)
+               
+d             
+0.05266125395944099
+
+b =[2,3,1,2,3,4,6]
+               
+e = random.choice(b)
+               
+e        
+2
+
+random.shuffle(b)
+               
+b           
+[3, 2, 2, 6, 3, 1, 4]
+
+k =  random.sample(b,4)
+               
+k           
+[3, 2, 2, 4]
+
+p = random.betavariate(1,2)
+               
+p              
+0.48596997669197367
+
+p = random.gammavariate(1,1)
+               
+p             
+1.2802780104125937
+
+Создадим свой список с заданными распределениями
+f = [ random.uniform(1,3),  random.gauss(1,2), random.betavariate(2,2), random.gammavariate(2,3)]
+               
+f             
+[2.247730869060465, 3.871209301585315, 0.39715861559850196, 3.959028762460888]
+6. Функции модуля time - работа с календарем и со временем
+import time
+dir(time)
+['_STRUCT_TM_ITEMS', '__doc__', '__loader__', '__name__', '__package__', '__spec__', 'altzone', 'asctime', 'ctime', 'daylight', 'get_clock_info', 'gmtime', 'localtime', 'mktime', 'monotonic', 'monotonic_ns', 'perf_counter', 'perf_counter_ns', 'process_time', 'process_time_ns', 'sleep', 'strftime', 'strptime', 'struct_time', 'thread_time', 'thread_time_ns', 'time', 'time_ns', 'timezone', 'tzname']
+c1=time.time()
+c1
+1761161531.581906
+c2=time.time()-c1
+c2
+20.391149044036865
+dat=time.gmtime()
+dat
+time.struct_time(tm_year=2025, tm_mon=10, tm_mday=22, tm_hour=19, tm_min=33, tm_sec=7, tm_wday=2, tm_yday=295, tm_isdst=0)
+dat.tm_mon
+10
+dat.tm_year
+2025
+dat.tm_hour
+19
+dat.tm_min
+33
+c1 = time.localtime
+c1
+<built-in function localtime>
+c1 = time.localtime()
+c1
+time.struct_time(tm_year=2025, tm_mon=10, tm_mday=22, tm_hour=22, tm_min=38, tm_sec=57, tm_wday=2, tm_yday=295, tm_isdst=0)
+c2 = time.asctime(c1)
+c2
+'Wed Oct 22 22:38:57 2025'
+t1 = time.ctime()
+t1
+'Wed Oct 22 22:44:33 2025'
+time.sleep(2)
+t2 = time.mktime(c1)
+t2
+1761161937.0
+7. Графические функции.
+import pylab
+x=list(range(-3,55,4))
+t=list(range(15))
+pylab.plot(t,x)
+[<matplotlib.lines.Line2D object at 0x000001F66C044B90>]
+pylab.title('Первый график')
+Text(0.5, 1.0, 'Первый график')
+pylab.xlabel('время')
+Text(0.5, 0, 'время')
+pylab.ylabel('сигнал')
+Text(0, 0.5, 'сигнал')
+pylab.show()
+X1=[12,6,8,10,7]
+X2=[5,7,9,11,13]
+pylab.plot(X1)
+[<matplotlib.lines.Line2D object at 0x000001F66CE951D0>]
+pylab.plot(X2)
+[<matplotlib.lines.Line2D object at 0x000001F66CE95310>]
+pylab.show()
+region=['Центр','Урал','Сибирь','Юг']
+naselen=[65,12,23,17]
+pylab.pie(naselen,labels=region)
+([<matplotlib.patches.Wedge object at 0x000001F66BB4DA90>, <matplotlib.patches.Wedge object at 0x000001F66C0FDD10>, <matplotlib.patches.Wedge object at 0x000001F66C0FE850>, <matplotlib.patches.Wedge object at 0x000001F66C0FE5D0>], [Text(-0.191013134139045, 1.0832885038559115, 'Центр'), Text(-0.861328292412156, -0.6841882582231001, 'Урал'), Text(0.04429273995539947, -1.0991078896938387, 'Сибирь'), Text(0.9873750693480946, -0.48486129194837324, 'Юг')])
+pylab.show()
+a = [1,2,1,3,2,4,5,8,5,5,5,2,2,2,2,2]
+pylab.hist(a,bins = 6)
+(array([9., 1., 1., 4., 0., 1.]), array([1.        , 2.16666667, 3.33333333, 4.5       , 5.66666667,
+       6.83333333, 8.        ]), <BarContainer object of 6 artists>)
+pylab.title('Гистограмма')
+Text(0.5, 1.0, 'Гистограмма')
+pylab.show()
+marks = ['BMW','Audi','Lada','Reno']
+cost = [20,17,5,10]
+pylab.bar(marks,cost)
+<BarContainer object of 4 artists>
+pylab.title('Stolb')
+Text(0.5, 1.0, 'Stolb')
+pylab.show()
+8. Модуль statistics.
+import statistics
+dir(statistics)
+['Counter', 'Decimal', 'Fraction', 'LinearRegression', 'NormalDist', 'StatisticsError', '_SQRT2', '__all__', '__annotations__', '__builtins__', '__cached__', '__doc__', '__file__', '__loader__', '__name__', '__package__', '__spec__', '_coerce', '_convert', '_decimal_sqrt_of_frac', '_exact_ratio', '_fail_neg', '_float_sqrt_of_frac', '_integer_sqrt_of_frac_rto', '_isfinite', '_kernel_invcdfs', '_mean_stdev', '_newton_raphson', '_normal_dist_inv_cdf', '_quartic_invcdf', '_quartic_invcdf_estimate', '_random', '_rank', '_sqrt_bit_width', '_sqrtprod', '_ss', '_sum', '_triweight_invcdf', '_triweight_invcdf_estimate', 'acos', 'asin', 'atan', 'bisect_left', 'bisect_right', 'correlation', 'cos', 'cosh', 'count', 'covariance', 'defaultdict', 'erf', 'exp', 'fabs', 'fmean', 'fsum', 'geometric_mean', 'groupby', 'harmonic_mean', 'hypot', 'isfinite', 'isinf', 'itemgetter', 'kde', 'kde_random', 'linear_regression', 'log', 'math', 'mean', 'median', 'median_grouped', 'median_high', 'median_low', 'mode', 'multimode', 'namedtuple', 'numbers', 'pi', 'pstdev', 'pvariance', 'quantiles', 'random', 'reduce', 'repeat', 'sin', 'sqrt', 'stdev', 'sumprod', 'sys', 'tan', 'tau', 'variance']
+a = [1,2,3,4,5,6,7,8,9,10,9,8,7,6,5,4,3,2,1]
+statistics.mean(a)
+5.2631578947368425
+statistics.median(a)
+5
+b = [1,2,1,1,1,2,3,4,5,6,9]
+statistics.mode(b)
+1
+c = statistics.stdev(a)
+c
+2.8253240770486627
+d = [1,2,3,2,1]
+v =statistics.variance(d)
+v
+0.7
diff --git a/TEMA4/task.md b/TEMA4/task.md
new file mode 100644
index 0000000..01d114a
--- /dev/null
+++ b/TEMA4/task.md
@@ -0,0 +1,51 @@
+### Общее контрольное задание по теме 4
+Лазарев Данил, А-01-23
+
+### Задание
+Реализовать, записать в текстовый файл и проанализировать результаты последовательности инструкций, выполняющих следующие действия:
+
+1)Напишите и исполните единое выражение, реализующее последовательное выполнение следующих операций: вычисление фазы комплексного числа 0.2+0.8j, округление результата до двух знаков после запятой, умножение полученного значения на 20, получение кортежа из двух значений: округленное вниз значение от деления результата на 3 и остатка от этого деления.
+
+2)Создайте объект класса struct_time с временными параметрами для текущего московского времени. Создайте строку с текущим часом и минутами.
+
+3)Создайте список с элементами – названиями дней недели. Сделайте случайную выборку из этого списка с тремя днями недели.
+
+4)Напишите инструкцию случайного выбора числа из последовательности целых чисел от 14 до 32 с шагом 3.
+
+5)Сгенерируйте нормально распределенное число N с математическим ожиданием 15 и стандартным отклонением 4 и округлите его до целого значения. Создайте список с N элементами – случайно выбранными буквами латинского алфавита.
+
+6)Напишите инструкцию для определения временного интервала в минутах, прошедшего с момента предыдущего (из п.2) определения временных параметров.
+import cmath, math, random, time
+
+### Решение
+```
+#1
+res = divmod(math.floor(round(cmath.phase(0.2+0.8j), 2) * 20), 3)
+print(res)
+
+#2
+Msk = time.localtime()
+print(Msk)
+
+stroka = Msk.tm_hour , Msk.tm_min
+print(stroka)
+
+#3
+Week = ["Пн","Вт","Ср","Чт","Пт","Сб","Вс"]
+print(random.sample(Week, 3))
+
+#4
+row = [14, 17, 20, 23, 26, 29, 32]
+hm = random.choice(row)
+print(hm)
+
+#5
+G = round(random.gauss(15, 4))
+Alph = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']       
+Spisok = random.sample(Alph, G)
+print(Spisok)
+
+#6
+minute = time.localtime().tm_min  -  Msk.tm_min
+print(minute)
+```
\ No newline at end of file
diff --git a/TEMA4/task.py b/TEMA4/task.py
new file mode 100644
index 0000000..e6d41f0
--- /dev/null
+++ b/TEMA4/task.py
@@ -0,0 +1,35 @@
+import cmath, math, random, time
+
+# 1.
+res = divmod(math.floor(round(cmath.phase(0.2+0.8j), 2) * 20), 3)
+print(res)
+
+# 2.
+Msk = time.localtime()
+print(Msk)
+
+stroka = Msk.tm_hour , Msk.tm_min
+print(stroka)
+
+# 3.
+Week = ["Пн","Вт","Ср","Чт","Пт","Сб","Вс"]
+print(random.sample(Week, 3))
+
+# 4.
+row = [14, 17, 20, 23, 26, 29, 32]
+hm = random.choice(row)
+print(hm)
+
+# 5.
+
+G = round(random.gauss(15, 4))
+
+Alph = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
+        
+Spisok = random.sample(Alph, G)
+
+print(Spisok)
+
+# 6.
+minute = time.localtime().tm_min  -  Msk.tm_min
+print(minute)