verifying ctypes type precision in python

That said...

import os
print os.sysconf('SC_CHAR_BIT')

Suggestion : 2

The find() method should be used only if you need to know the position of sub. To check if sub is a substring or not, use the in operator:,Return a representation of a floating-point number as a hexadecimal string. For finite floating-point numbers, this representation will always include a leading 0x and a trailing p and exponent.,Floating point format. Uses uppercase exponential format if exponent is less than -4 or not less than precision, decimal format otherwise.,The alternate form causes the result to always contain a decimal point, even if no digits follow it. The precision determines the number of digits after the decimal point and defaults to 6.

>>> n = -37 >>>
   bin(n)
'-0b100101' >>>
n.bit_length()
6

def bit_length(self):
   s = bin(self) # binary representation: bin(-37) -- > '-0b100101'
s = s.lstrip('-0b') # remove leading zeros and minus sign
return len(s) # len('100101') -- > 6

>>> n = 19 >>>
   bin(n)
'0b10011' >>>
n.bit_count()
3
   >>>
   (-n).bit_count()
3

def bit_count(self):
   return bin(self).count("1")

>>> (1024).to_bytes(2, byteorder = 'big')
b '\x04\x00' >>>
   (1024).to_bytes(10, byteorder = 'big')
b '\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00' >>>
   (-1024).to_bytes(10, byteorder = 'big', signed = True)
b '\xff\xff\xff\xff\xff\xff\xff\xff\xfc\x00' >>>
   x = 1000 >>>
   x.to_bytes((x.bit_length() + 7) // 8, byteorder='little')
      b '\xe8\x03'

>>> int.from_bytes(b '\x00\x10', byteorder = 'big')
16
   >>>
   int.from_bytes(b '\x00\x10', byteorder = 'little')
4096
   >>>
   int.from_bytes(b '\xfc\x00', byteorder = 'big', signed = True) -
   1024 >>>
   int.from_bytes(b '\xfc\x00', byteorder = 'big', signed = False)
64512
   >>>
   int.from_bytes([255, 0, 0], byteorder = 'big')
16711680

Suggestion : 3

Last Updated : 05 Jul, 2022

Output:

The integral value of number is: 3
The smallest integer greater than number is: 4
The greatest integer smaller than number is: 3

Output :

The value of number till 2 decimal place(using % ) is: 3.45
The value of number till 2 decimal place(using format()) is: 3.453
The value of number till 2 decimal place(using round()) is: 3.45

Suggestion : 4

Assigning the (platform-dependent) precision of c_intp. Without the plugin the type will default to ctypes.c_int64. New in version 1.22. ,Assigning the (platform-dependent) precision of c_intp. Without the plugin the type will default to ctypes.c_int64.,Assigning the (platform-dependent) precisions of certain number subclasses, including the likes of int_, intp and longlong. See the documentation on scalar types for a comprehensive overview of the affected classes. Without the plugin the precision of all relevant classes will be inferred as Any.,Removing all extended-precision number subclasses that are unavailable for the platform in question. Most notably this includes the likes of float128 and complex256. Without the plugin all extended-precision types will, as far as mypy is concerned, be available to all platforms.

[mypy]
plugins = numpy.typing.mypy_plugin

>>> np.array(x**2 for x in range(10))
array(<generator object <genexpr> at ...>, dtype=object)

>>> np.array(x ** 2
   for x in range(10)) # type: ignore

>>> from typing import Any
>>> array_like: Any = (x**2 for x in range(10))
>>> np.array(array_like)
array(<generator object <genexpr> at ...>, dtype=object)

>>> x = np.array([1, 2]) >>>
   x.dtype = np.bool_

>>> x = np.dtype({
   "field1": (float, 1),
   "field2": (int, 3)
})