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Tiziano Zito 2024-08-26 22:38:23 +02:00
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architecture/README.md
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@ -11,7 +11,7 @@
- `bin(14)` ➔ `'0b1110'` - `bin(14)` ➔ `'0b1110'`
- `np.iinfo(np.int32)` ➔ `iinfo(min=-2147483648, max=2147483647, dtype=int32)` - `np.iinfo(np.int32)` ➔ `iinfo(min=-2147483648, max=2147483647, dtype=int32)`
- Python integers, as opposed to numpy integer types, are represented with a flexible number of bits: `sys.int_info` ➔ `bits_per_digit=30, sizeof_digit=4, default_max_str_digits=4300, str_digits_check_threshold=640` - Python integers, as opposed to numpy integer types, are represented with a flexible number of bits: `sys.int_info` ➔ `bits_per_digit=30, sizeof_digit=4, default_max_str_digits=4300, str_digits_check_threshold=640`
- they are called "long" or "sperlong" integers, because they can have arbitrary size. Low level implementation explained: - they are called "long" or "superlong" integers, because they can have arbitrary size. Low level implementation explained:
- [Arpit Bhayani's blog](https://arpitbhayani.me/blogs/long-integers-python/) - [Arpit Bhayani's blog](https://arpitbhayani.me/blogs/long-integers-python/)
- [Artem Golubin's blog](https://rushter.com/blog/python-integer-implementation/) - [Artem Golubin's blog](https://rushter.com/blog/python-integer-implementation/)