(r, c=None, min=0, max=99, seed=None, symmetric=False, percent=100)
return m
Create random matrix with dimensions ``r`` x ``c``. If ``c`` is omitted
    the matrix will be square. If ``symmetric`` is True the matrix must be
    square. If ``percent`` is less than 100 then only approximately the given
    percentage of elements will be non-zero.

    Examples
    ========

    >>> from sympy.matrices import randMatrix
    >>> randMatrix(3) # doctest:+SKIP
    [25, 45, 27]
    [44, 54,  9]
    [23, 96, 46]
    >>> randMatrix(3, 2) # doctest:+SKIP
    [87, 29]
    [23, 37]
    [90, 26]
    >>> randMatrix(3, 3, 0, 2) # doctest:+SKIP
    [0, 2, 0]
    [2, 0, 1]
    [0, 0, 1]
    >>> randMatrix(3, symmetric=True) # doctest:+SKIP
    [85, 26, 29]
    [26, 71, 43]
    [29, 43, 57]
    >>> A = randMatrix(3, seed=1)
    >>> B = randMatrix(3, seed=2)
    >>> A == B # doctest:+SKIP
    False
    >>> A == randMatrix(3, seed=1)
    True
    >>> randMatrix(3, symmetric=True, percent=50) # doctest:+SKIP
    [0, 68, 43]
    [0, 68,  0]
    [0, 91, 34]
Create random matrix with dimensions ``r`` x ``c``. If ``c`` is omitted
    the matrix will be square. If ``symmetric`` is True the matrix must be
    square. If ``percent`` is less than 100 then only approximately the given
    percentage of elements will be non-zero.
Create random matrix with dimensions r x c . If c is omitted the matrix will be square . If symmetric is True the matrix must be square . If percent is less than 100 then only approximately the given percentage of elements will be non - zero .
def randMatrix(r, c=None, min=0, max=99, seed=None, symmetric=False, percent=100):
    """Create random matrix with dimensions ``r`` x ``c``. If ``c`` is omitted
    the matrix will be square. If ``symmetric`` is True the matrix must be
    square. If ``percent`` is less than 100 then only approximately the given
    percentage of elements will be non-zero.

    Examples
    ========

    >>> from sympy.matrices import randMatrix
    >>> randMatrix(3) # doctest:+SKIP
    [25, 45, 27]
    [44, 54,  9]
    [23, 96, 46]
    >>> randMatrix(3, 2) # doctest:+SKIP
    [87, 29]
    [23, 37]
    [90, 26]
    >>> randMatrix(3, 3, 0, 2) # doctest:+SKIP
    [0, 2, 0]
    [2, 0, 1]
    [0, 0, 1]
    >>> randMatrix(3, symmetric=True) # doctest:+SKIP
    [85, 26, 29]
    [26, 71, 43]
    [29, 43, 57]
    >>> A = randMatrix(3, seed=1)
    >>> B = randMatrix(3, seed=2)
    >>> A == B # doctest:+SKIP
    False
    >>> A == randMatrix(3, seed=1)
    True
    >>> randMatrix(3, symmetric=True, percent=50) # doctest:+SKIP
    [0, 68, 43]
    [0, 68,  0]
    [0, 91, 34]
    """
    if c is None:
        c = r
    if seed is None:
        prng = random.Random()  # use system time
    else:
        prng = random.Random(seed)
    if symmetric and r != c:
        raise ValueError(
            'For symmetric matrices, r must equal c, but %i != %i' % (r, c))
    if not symmetric:
        m = Matrix._new(r, c, lambda i, j: prng.randint(min, max))
    else:
        m = zeros(r)
        for i in range(r):
            for j in range(i, r):
                m[i, j] = prng.randint(min, max)
        for i in range(r):
            for j in range(i):
                m[i, j] = m[j, i]
    if percent == 100:
        return m
    else:
        z = int(r*c*percent // 100)
        m._mat[:z] = [S.Zero]*z
        prng.shuffle(m._mat)
    return m
def randMatrix ( r , c = None , min = 0 , max = 99 , seed = None , symmetric = False , percent = 100 ) : if c is None : c = r if seed is None : prng = random . Random ( ) # use system time else : prng = random . Random ( seed ) if symmetric and r != c : raise ValueError ( 'For symmetric matrices, r must equal c, but %i != %i' % ( r , c ) ) if not symmetric : m = Matrix . _new ( r , c , lambda i , j : prng . randint ( min , max ) ) else : m = zeros ( r ) for i in range ( r ) : for j in range ( i , r ) : m [ i , j ] = prng . randint ( min , max ) for i in range ( r ) : for j in range ( i ) : m [ i , j ] = m [ j , i ] if percent == 100 : return m else : z = int ( r * c * percent // 100 ) m . _mat [ : z ] = [ S . Zero ] * z prng . shuffle ( m . _mat ) return m