下面的集合1讨论了一些十进制函数
本文将讨论更多函数。 1.逻辑_和（） ：-此函数按数字计算 逻辑“和” 数字的运算。数字只能有值 0或1 .
2.逻辑_或（） ：-此函数按数字计算 逻辑“或” 数字的运算。数字只能有值 0或1 .
3.逻辑异或 ：-此函数按数字计算 逻辑“异或” 数字的运算。数字只能有值 0或1 .
4.逻辑逆 ：-此函数按数字计算 逻辑“反转” 数字的运算。数字只能有值 0或1 .
Python3
# Python code to demonstrate the working of # logical_and(), logical_or(), logical_xor() # and logical_invert() # importing "decimal" module to use decimal functions import decimal # Initializing decimal number a = decimal.Decimal( 1000 ) # Initializing decimal number b = decimal.Decimal( 1110 ) # printing logical_and of two numbers print ( "The logical_and() of two numbers is : " ,end = "") print (a.logical_and(b)) # printing logical_or of two numbers print ( "The logical_or() of two numbers is : " ,end = "") print (a.logical_or(b)) # printing exclusive or of two numbers print ( "The exclusive or of two numbers is : " ,end = "") print (a.logical_xor(b)) # printing logical inversion of number print ( "The logical inversion of number is : " ,end = "") print (a.logical_invert()) |
输出：
The logical_and() of two numbers is : 1000The logical_or() of two numbers is : 1110The exclusive or of two numbers is : 110The logical inversion of number is : 1111111111111111111111110111
5.下一个_plus（） ：-此函数返回 最小数 可以代表， 大于给定的数字。
6.下一个_减（） ：-此函数返回 最大数量 可以代表， 小于给定的数字。
Python3
# Python code to demonstrate the working of # next_plus() and next_minus() # importing "decimal" module to use decimal functions import decimal # Initializing decimal number a = decimal.Decimal( 101.34 ) # printing the actual decimal number print ( "The original number is : " ,end = "") print (a) # printing number after using next_plus() print ( "The smallest number larger than current number : " ,end = "") print (a.next_plus()) # printing number after using next_minus() print ( "The largest number smaller than current number : " ,end = "") print (a.next_minus()) |
输出：
The original number is : 101.340000000000003410605131648480892181396484375The smallest number larger than current number : 101.3400000000000034106051317The largest number smaller than current number : 101.3400000000000034106051316
7.下一步 ：-此函数返回 在第二个参数的方向上距离第一个参数最近的数字 论点如果两个数字相等，则返回 带第一个符号的第二个数字 数字
8.正常化 ：-此函数在 删除所有最右边的尾随零 在号码里。
Python3
# Python code to demonstrate the working of # next_toward() and normalize() # importing "decimal" module to use decimal functions import decimal # Initializing decimal number a = decimal.Decimal( 101.34 ) # Initializing decimal number b = decimal.Decimal( - 101.34 ) # Initializing decimal number c = decimal.Decimal( - 58.68 ) # Initializing decimal number d = decimal.Decimal( 14.010000000 ) # printing the number using next_toward() print ( "The number closest to 1st number in direction of second number : " ) print (a.next_toward(c)) # printing the number using next_toward() # when equal print ( "The second number with sign of first number is : " ,end = "") print (b.next_toward(a)) # printing number after erasing rightmost trailing zeroes print ( "Number after erasing rightmost trailing zeroes : " ,end = "") print (d.normalize()) |
输出：
The number closest to 1st number in direction of second number : 101.3400000000000034106051316The second number with sign of first number is : -101.3400000000000034106051316Number after erasing rightmost trailing zeroes : 14.01
9.量子化（） ：-此函数返回带有 小数部分（指数）中的数字缩短 由 位数 在里面 第二个参数的小数部分（指数）。
10.同样的量子 ：-这个功能 如果两个数字的指数不同，则返回0；如果两个数字的指数相同，则返回1。
Python3
# Python code to demonstrate the working of # quantize() and same_quantum() # importing "decimal" module to use decimal functions import decimal # Initializing decimal number a = decimal.Decimal( 20.76548 ) # Initializing decimal number b = decimal.Decimal( 12.25 ) # Initializing decimal number c = decimal.Decimal( 6.25 ) # printing quantized first number print ( "The quantized first number is : " ,end = "") print (a.quantize(b)) # checking if both number have same exponent if (b.same_quantum(c)): print ( "Both the numbers have same exponent" ) else : print ( "Both numbers have different exponent" ) |
输出：
The quantized first number is : 20.77Both the numbers have same exponent
11.轮换 ：-这个功能 旋转 第一个论点是 第二个论点中提到的金额 .如果第二个论点的标志是 正，旋转方向向左 , 否则旋转方向是向右的 .第一个论点的符号不变。
12.班次（） ：-这个功能 转移 第一个论点是 第二个论点中提到的金额 .如果第二个论点的标志是 正向，向左移动， 否则就要向右转 .第一个论点的符号不变。数字移位是 替换为0 .
Python3
# Python code to demonstrate the working of # rotate() and shift() # importing "decimal" module to use decimal functions import decimal # Initializing decimal number a = decimal.Decimal( 2343509394029424234334563465 ) # using rotate() to rotate the first argument # rotates to right by 2 positions print ( "The rotated value is : " ,end = "") print (a.rotate( - 2 )) # using shift() to shift the first argument # rotates to left by 2 positions print ( "The shifted value is : " ,end = "") print (a.shift( 2 )) |
输出：
The rotated value is : 6523435093940294242343345634The shifted value is : 4350939402942423433456346500
13.余数 ：-返回值“ 第一（n*2） “在哪里 n是最接近1st/2nd结果的整数值 .如果2个整数 非常接近，甚至选择了一个。
14.scaleb（） ：-这个功能 移动指数 第1名 第二个参数的值 .
Python3
# Python code to demonstrate the working of # remainder_near() and scaleb() # importing "decimal" module to use decimal functions import decimal # Initializing decimal number a = decimal.Decimal( 23.765 ) # Initializing decimal number b = decimal.Decimal( 12 ) # Initializing decimal number c = decimal.Decimal( 8 ) # using remainder_near to compute value print ( "The computed value using remainder_near() is : " ,end = "") print (b.remainder_near(c)) # using scaleb() to shift exponent print ( "The value after shifting exponent : " ,end = "") print (a.scaleb( 2 )) |
输出：
The computed value using remainder_near() is : -4The value after shifting exponent : 2376.500000000000056843418861
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