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Usage

Here's how to use the rayshnakht_v1 hashing algorithm:

from rayshnakht import rayshnakht_v1

hasher = rayshnakht_v1()
input_string = "Hello, World!"
hashed_string = hasher.rayshnakht_v1(input_string)
print(f"Hashed string: {hashed_string}")

Metadata

Release files for rayshnakht 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rayshnakht 0.1.0
File Size Uploaded
rayshnakht-0.1.0.tar.gz 3.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for rayshnakht 0.1.0
File Interpreter ABI Platform
rayshnakht-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 7.4 kB

Release files / rayshnakht-0.1.0.tar.gz

Download URL rayshnakht-0.1.0.tar.gz
Size 3.6 kB
Tags Source
SHA-256 checksum
How to use checksums
5692fa10b7a0f5f06ad050e90730cdba11f7a4bd70c30defd6938e869b20f445
BLAKE2b-256 checksum
How to use checksums
9f56d3a036296d187fd7683f32b4f9707bad7b0b738730ade49182d9380c0c37
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Release files / rayshnakht-0.1.0-py3-none-any.whl

Download URL rayshnakht-0.1.0-py3-none-any.whl
Size 3.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
74bc661fd35f01e435f177c2058b07b1c237a467a4299f330583f15828ef7c45
BLAKE2b-256 checksum
How to use checksums
e8475df2769fe0a4d1414cfae85c64ac1a3d9c37cfe4fc914b8b270a05aa8e3b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.4

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

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