import  numpy as np
from matplotlib import pyplot as plt
import matplotlib
import scipy.integrate as integrate
from scipy import special
f=lambda x:np.sin(x*2+np.pi/4)
# result = integrate.quad(lambda x: special.jv(2.5,x), 0, 4.5)
def exception(x,n,t):
    return np.exp(-x*t)/t**n
mitrix=np.array([[2,6,-5,4],[3,-6,4,9],[-2,7,7,3]])
print(np.rank(mitrix))

bf6a735bced06abe3f30196850d25203fc9eff48
<mask token>


def exception(x, n, t):
    return np.exp(-x * t) / t ** n


<mask token>

<mask token>


def exception(x, n, t):
    return np.exp(-x * t) / t ** n


<mask token>
print(np.rank(mitrix))

<mask token>
f = lambda x: np.sin(x * 2 + np.pi / 4)


def exception(x, n, t):
    return np.exp(-x * t) / t ** n


mitrix = np.array([[2, 6, -5, 4], [3, -6, 4, 9], [-2, 7, 7, 3]])
print(np.rank(mitrix))

import numpy as np
from matplotlib import pyplot as plt
import matplotlib
import scipy.integrate as integrate
from scipy import special
f = lambda x: np.sin(x * 2 + np.pi / 4)


def exception(x, n, t):
    return np.exp(-x * t) / t ** n


mitrix = np.array([[2, 6, -5, 4], [3, -6, 4, 9], [-2, 7, 7, 3]])
print(np.rank(mitrix))

import  numpy as np
from matplotlib import pyplot as plt
import matplotlib
import scipy.integrate as integrate
from scipy import special
f=lambda x:np.sin(x*2+np.pi/4)
# result = integrate.quad(lambda x: special.jv(2.5,x), 0, 4.5)
def exception(x,n,t):
    return np.exp(-x*t)/t**n
mitrix=np.array([[2,6,-5,4],[3,-6,4,9],[-2,7,7,3]])
print(np.rank(mitrix))
